From d4a08f9836c29bba71194591d6893473a1a48401 Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Sun, 11 Dec 2022 20:52:02 +0100 Subject: [PATCH 01/45] sphinx refactor 1 --- examples/connectivity/plot_generate_surrogate_connectivity.py | 3 +++ examples/connectivity/plot_surrogate_methods.py | 1 + examples/connectivity/plot_test_transform_mni_to_ras.py | 4 ++-- 3 files changed, 6 insertions(+), 2 deletions(-) diff --git a/examples/connectivity/plot_generate_surrogate_connectivity.py b/examples/connectivity/plot_generate_surrogate_connectivity.py index cb08ea3f..a7213d33 100644 --- a/examples/connectivity/plot_generate_surrogate_connectivity.py +++ b/examples/connectivity/plot_generate_surrogate_connectivity.py @@ -1,4 +1,7 @@ #!/usr/bin/env python +''' +Surrogate computation +''' import numpy as np import matplotlib.pyplot as pl diff --git a/examples/connectivity/plot_surrogate_methods.py b/examples/connectivity/plot_surrogate_methods.py index 180a2444..32183e6f 100644 --- a/examples/connectivity/plot_surrogate_methods.py +++ b/examples/connectivity/plot_surrogate_methods.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +'''Plotting vrious methods used to generate surrogates.''' import numpy as np import mne diff --git a/examples/connectivity/plot_test_transform_mni_to_ras.py b/examples/connectivity/plot_test_transform_mni_to_ras.py index 077d051f..c2778ce4 100644 --- a/examples/connectivity/plot_test_transform_mni_to_ras.py +++ b/examples/connectivity/plot_test_transform_mni_to_ras.py @@ -28,13 +28,13 @@ # Plot brain in 3D with PySurfer if available brain = new_stc.plot(subject, hemi='lh', - subjects_dir=subjects_dir, backend='mayavi') + subjects_dir=subjects_dir, backend='pyvistaqt') brain.show_view('lateral') # use peak getter to move vizualization to the time point of the peak vertno_max, time_idx = new_stc.get_peak(hemi='lh', time_as_index=True) -brain.set_data_time_index(time_idx) +brain.set_time_point(time_idx) # draw marker at maximum peaking vertex brain.add_foci(vertno_max, coords_as_verts=True, hemi='lh', color='blue', From 5c9e4dac7b081885143452aaa2bef444be503cfc Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Sun, 11 Dec 2022 23:10:55 +0100 Subject: [PATCH 02/45] sphinx refactor 2 --- .../connectivity/plot_brain_connectome.py | 3 +- .../plot_circle_lines_and_blobs.py | 19 ++++++------- examples/connectivity/plot_communities.py | 3 +- .../plot_compute_epochs_surrogates.py | 7 +++-- .../plot_compute_label_distances.py | 3 +- ...plot_connectivity_between_standard_rsns.py | 16 ++++++----- ...plot_custom_grouped_connectivity_circle.py | 5 ++-- examples/connectivity/plot_degree_circle.py | 10 ++++--- .../plot_destriux_atlas_based_connectivity.py | 5 ++-- .../plot_generate_surrogate_connectivity.py | 15 +++++----- .../plot_generate_surrogate_stcs.py | 9 +++--- ...lot_generic_grouped_connectivity_circle.py | 5 ++-- .../plot_grouped_connectivity_circle.py | 1 + examples/connectivity/plot_label_distances.py | 13 +++++---- .../plot_labelled_connectivity_circle.py | 5 ++-- .../connectivity/plot_shuffle_time_slices.py | 8 ++++-- .../plot_simulated_connectivity.py | 1 + ...dard_resting_network_on_aparc_annot_map.py | 2 +- .../plot_test_transform_mni_to_ras.py | 9 +++--- .../connectivity/plot_vertices_around_seed.py | 3 +- examples/decompose/do_MLICA.py | 2 +- examples/decompose/do_compare_ica_methods.py | 5 ++-- examples/decompose/plot_data_distribution.py | 7 +++-- examples/decompose/plot_rank_estimation.py | 7 +++-- examples/mft/plot_perform_mft_surface.py | 15 ++++++---- examples/mft/plot_perform_mft_surface_list.py | 11 ++++---- examples/mft/plot_perform_mft_volume.py | 11 ++++---- .../plot_compare_jumeg_filters.py | 6 ++-- .../preprocessing/plot_interpolate_bads.py | 8 ++++-- examples/preprocessing/plot_noise_reducer.py | 2 +- examples/preprocessing/plot_suggest_bads.py | 6 ++-- jumeg/mft/jumeg_mft_funcs.py | 28 +++++++++---------- 32 files changed, 141 insertions(+), 109 deletions(-) diff --git a/examples/connectivity/plot_brain_connectome.py b/examples/connectivity/plot_brain_connectome.py index 62344c77..85870991 100644 --- a/examples/connectivity/plot_brain_connectome.py +++ b/examples/connectivity/plot_brain_connectome.py @@ -7,6 +7,7 @@ Author: Praveen Sripad """ +import os.path as op import numpy as np import matplotlib.pyplot as plt @@ -18,7 +19,7 @@ from jumeg.connectivity import generate_random_connectivity_matrix data_path = sample.data_path() -subjects_dir = data_path + '/subjects' +subjects_dir = op.join(data_path, 'subjects') subject = 'fsaverage' aparc = mne.read_labels_from_annot(subject, subjects_dir=subjects_dir, diff --git a/examples/connectivity/plot_circle_lines_and_blobs.py b/examples/connectivity/plot_circle_lines_and_blobs.py index 4b607e5f..55ea3cbe 100644 --- a/examples/connectivity/plot_circle_lines_and_blobs.py +++ b/examples/connectivity/plot_circle_lines_and_blobs.py @@ -3,24 +3,22 @@ connectivity circle plot. ''' -import numpy as np import os.path as op +import numpy as np +import matplotlib.pyplot as plt import mne - +from mne_connectivity import degree from jumeg import get_jumeg_path from jumeg.connectivity import plot_degree_circle, plot_lines_and_blobs import bct - -import matplotlib.pyplot as plt - import yaml -orig_labels_fname = get_jumeg_path() + '/data/desikan_label_names.yaml' -yaml_fname = get_jumeg_path() + '/data/desikan_aparc_cortex_based_grouping.yaml' -con_fname = get_jumeg_path() + '/data/sample,aparc-con.npy' +orig_labels_fname = op.join(get_jumeg_path(), 'data/desikan_label_names.yaml') +yaml_fname = op.join(get_jumeg_path(), 'data/desikan_aparc_cortex_based_grouping.yaml') +con_fname = op.join(get_jumeg_path(), 'data/sample,aparc-con.npy') -replacer_dict_fname = get_jumeg_path() + '/data/replacer_dictionaries.yaml' +replacer_dict_fname = op.join(get_jumeg_path(), 'data/replacer_dictionaries.yaml') with open(replacer_dict_fname, 'r') as f: replacer_dict = yaml.safe_load(f)['replacer_dict_aparc'] @@ -28,7 +26,7 @@ # real connectivity con = np.load(con_fname) con = con[0, :, :, 2] + con[0, :, :, 2].T -degrees = mne.connectivity.degree(con, threshold_prop=0.2) +degrees = degree(con, threshold_prop=0.2) eigenvec_centrality = bct.eigenvector_centrality_und(con) @@ -39,4 +37,3 @@ out_fname=None, degsize=10) ax.set_title('Eigen vector centrality: Coh,alpha') fig.tight_layout() - diff --git a/examples/connectivity/plot_communities.py b/examples/connectivity/plot_communities.py index b31d6e38..1928d0d8 100644 --- a/examples/connectivity/plot_communities.py +++ b/examples/connectivity/plot_communities.py @@ -6,6 +6,7 @@ Author: Praveen Sripad """ +import os.path as op import numpy as np import matplotlib.pyplot as plt @@ -17,7 +18,7 @@ from nilearn import plotting data_path = sample.data_path() -subjects_dir = data_path + '/subjects' +subjects_dir = op.join(data_path, 'subjects') subject = 'fsaverage' aparc = mne.read_labels_from_annot(subject, subjects_dir=subjects_dir, parc='aparc') diff --git a/examples/connectivity/plot_compute_epochs_surrogates.py b/examples/connectivity/plot_compute_epochs_surrogates.py index ceccfa20..612f297f 100644 --- a/examples/connectivity/plot_compute_epochs_surrogates.py +++ b/examples/connectivity/plot_compute_epochs_surrogates.py @@ -5,6 +5,7 @@ module. ''' +import os.path as op import numpy as np import matplotlib.pyplot as pl from mne.datasets import sample @@ -13,10 +14,10 @@ from jumeg.jumeg_surrogates import Surrogates, check_power_spectrum data_path = sample.data_path() -subjects_dir = data_path + '/subjects' +subjects_dir = op.join(data_path, 'subjects') -fname_raw = data_path + '/MEG/sample/sample_audvis_filt-0-40_raw.fif' -fname_event = data_path + '/MEG/sample/sample_audvis_filt-0-40_raw-eve.fif' +fname_raw = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw.fif') +fname_event = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw-eve.fif') epochs_testing = False diff --git a/examples/connectivity/plot_compute_label_distances.py b/examples/connectivity/plot_compute_label_distances.py index 168c8ea2..fc7aa36e 100644 --- a/examples/connectivity/plot_compute_label_distances.py +++ b/examples/connectivity/plot_compute_label_distances.py @@ -6,13 +6,14 @@ Author: Praveen Sripad """ +import os.path as op from jumeg.connectivity import get_label_distances from surfer import Brain from nilearn import plotting from mne.datasets import sample data_path = sample.data_path() -subjects_dir = data_path + '/subjects' +subjects_dir = op.join(data_path, 'subjects') subject = 'sample' parc = 'aparc_sub' diff --git a/examples/connectivity/plot_connectivity_between_standard_rsns.py b/examples/connectivity/plot_connectivity_between_standard_rsns.py index a96faccf..8dcc36f4 100644 --- a/examples/connectivity/plot_connectivity_between_standard_rsns.py +++ b/examples/connectivity/plot_connectivity_between_standard_rsns.py @@ -16,14 +16,16 @@ import mne from mne.datasets import sample from mne.minimum_norm import apply_inverse_epochs, read_inverse_operator -from mne.connectivity import spectral_connectivity -from mne.viz import circular_layout, plot_connectivity_circle +from mne.viz import circular_layout + +from mne_connectivity import spectral_connectivity_epochs +from mne_connectivity.viz import plot_connectivity_circle data_path = sample.data_path() -subjects_dir = data_path + '/subjects' -fname_inv = data_path + '/MEG/sample/sample_audvis-meg-oct-6-meg-inv.fif' -fname_raw = data_path + '/MEG/sample/sample_audvis_filt-0-40_raw.fif' -fname_event = data_path + '/MEG/sample/sample_audvis_filt-0-40_raw-eve.fif' +subjects_dir = op.join(data_path, 'subjects') +fname_inv = op.join(data_path, 'MEG/sample/sample_audvis-meg-oct-6-meg-inv.fif') +fname_raw = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw.fif') +fname_event = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw-eve.fif') # Load data inverse_operator = read_inverse_operator(fname_inv) @@ -69,7 +71,7 @@ fmax = 13. sfreq = raw.info['sfreq'] # the sampling frequency con_methods = ['coh', 'wpli'] -con, freqs, times, n_epochs, n_tapers = spectral_connectivity( +con, freqs, times, n_epochs, n_tapers = spectral_connectivity_epochs( label_ts, method=con_methods, mode='multitaper', sfreq=sfreq, fmin=fmin, fmax=fmax, faverage=True, mt_adaptive=True, n_jobs=4) diff --git a/examples/connectivity/plot_custom_grouped_connectivity_circle.py b/examples/connectivity/plot_custom_grouped_connectivity_circle.py index 7ecc7103..994c9b72 100644 --- a/examples/connectivity/plot_custom_grouped_connectivity_circle.py +++ b/examples/connectivity/plot_custom_grouped_connectivity_circle.py @@ -8,6 +8,7 @@ Christian Kiefer """ +import os.path as op import matplotlib.pyplot as plt from jumeg import get_jumeg_path from jumeg.connectivity import (plot_grouped_connectivity_circle, @@ -15,8 +16,8 @@ import yaml -labels_fname = get_jumeg_path() + '/data/desikan_label_names.yaml' -replacer_dict_fname = get_jumeg_path() + '/data/replacer_dictionaries.yaml' +labels_fname = op.join(get_jumeg_path(), 'data/desikan_label_names.yaml') +replacer_dict_fname = op.join(get_jumeg_path(), 'data/replacer_dictionaries.yaml') with open(labels_fname, 'r') as f: label_names = yaml.safe_load(f)['label_names'] diff --git a/examples/connectivity/plot_degree_circle.py b/examples/connectivity/plot_degree_circle.py index 2983433e..eb0168d3 100644 --- a/examples/connectivity/plot_degree_circle.py +++ b/examples/connectivity/plot_degree_circle.py @@ -4,23 +4,25 @@ Plot degree values for a given set of nodes in a simple circle plot. ''' +import os.path as op import numpy as np import matplotlib.pyplot as plt import mne +from mne_connectivity import degree from jumeg import get_jumeg_path from jumeg.connectivity import plot_degree_circle import bct -orig_labels_fname = get_jumeg_path() + '/data/desikan_label_names.yaml' -yaml_fname = get_jumeg_path() + '/data/desikan_aparc_cortex_based_grouping.yaml' -con_fname = get_jumeg_path() + '/data/sample,aparc-con.npy' +orig_labels_fname = op.join(get_jumeg_path(), 'data/desikan_label_names.yaml') +yaml_fname = op.join(get_jumeg_path(), 'data/desikan_aparc_cortex_based_grouping.yaml') +con_fname = op.join(get_jumeg_path(), 'data/sample,aparc-con.npy') con = np.load(con_fname) con_ = con[0, :, :, 2] + con[0, :, :, 2].T # compute the degree -degrees = mne.connectivity.degree(con_, threshold_prop=0.2) +degrees = degree(con_, threshold_prop=0.2) fig, ax = plot_degree_circle(degrees, yaml_fname, orig_labels_fname) diff --git a/examples/connectivity/plot_destriux_atlas_based_connectivity.py b/examples/connectivity/plot_destriux_atlas_based_connectivity.py index b6e37f42..074a2ebb 100644 --- a/examples/connectivity/plot_destriux_atlas_based_connectivity.py +++ b/examples/connectivity/plot_destriux_atlas_based_connectivity.py @@ -6,13 +6,14 @@ for the Destriux atlas. """ +import os.path as op from jumeg import get_jumeg_path from jumeg.connectivity import (plot_grouped_connectivity_circle, generate_random_connectivity_matrix) import yaml -grouping_yaml_fname = get_jumeg_path() + '/data/destriux_aparc_cortex_based_grouping.yaml' -label_names_yaml_fname = get_jumeg_path() + '/data/destriux_label_names.yaml' +grouping_yaml_fname = op.join(get_jumeg_path(), 'data/destriux_aparc_cortex_based_grouping.yaml') +label_names_yaml_fname = op.join(get_jumeg_path(), 'data/destriux_label_names.yaml') with open(label_names_yaml_fname, 'r') as f: label_names = yaml.safe_load(f)['label_names'] diff --git a/examples/connectivity/plot_generate_surrogate_connectivity.py b/examples/connectivity/plot_generate_surrogate_connectivity.py index a7213d33..91d1f009 100644 --- a/examples/connectivity/plot_generate_surrogate_connectivity.py +++ b/examples/connectivity/plot_generate_surrogate_connectivity.py @@ -3,22 +3,23 @@ Surrogate computation ''' +import os.path as op import numpy as np import matplotlib.pyplot as pl from jumeg.jumeg_surrogates import Surrogates -from mne.connectivity import spectral_connectivity +from mne_connectivity import spectral_connectivity_epochs from mne.datasets import sample from mne.minimum_norm import read_inverse_operator, apply_inverse_epochs import mne data_path = sample.data_path() -subjects_dir = data_path + '/subjects' +subjects_dir = op.join(data_path, 'subjects') -fname_raw = data_path + '/MEG/sample/sample_audvis_filt-0-40_raw.fif' -fname_event = data_path + '/MEG/sample/sample_audvis_filt-0-40_raw-eve.fif' -fname_inv = data_path + '/MEG/sample/sample_audvis-meg-oct-6-meg-inv.fif' +fname_inv = op.join(data_path, 'MEG/sample/sample_audvis-meg-oct-6-meg-inv.fif') +fname_raw = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw.fif') +fname_event = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw-eve.fif') raw = mne.io.read_raw_fif(fname_raw) events = mne.read_events(fname_event) @@ -62,7 +63,7 @@ n_rois = len(labels) full_surr_con = np.zeros((3, n_rois, n_rois, 1, n_surr)) -real_con, freqs, times, n_epochs, n_tapers = spectral_connectivity( +real_con, freqs, times, n_epochs, n_tapers = spectral_connectivity_epochs( label_ts, method=con_methods, mode='fourier', sfreq=sfreq, fmin=fmin, fmax=fmax, faverage=True, mt_adaptive=True, n_jobs=4) @@ -74,7 +75,7 @@ return_generator=True) for ind_surr, surr in enumerate(surr_label_ts): - con, freqs, times, n_epochs, n_tapers = spectral_connectivity( + con, freqs, times, n_epochs, n_tapers = spectral_connectivity_epochs( surr, method=con_methods, mode='fourier', sfreq=sfreq, fmin=fmin, fmax=fmax, faverage=True, mt_adaptive=True, n_jobs=4) diff --git a/examples/connectivity/plot_generate_surrogate_stcs.py b/examples/connectivity/plot_generate_surrogate_stcs.py index 1129bcd1..cf20696c 100644 --- a/examples/connectivity/plot_generate_surrogate_stcs.py +++ b/examples/connectivity/plot_generate_surrogate_stcs.py @@ -5,6 +5,7 @@ module. ''' +import os.path as op import numpy as np import matplotlib.pyplot as pl @@ -15,11 +16,11 @@ from jumeg.jumeg_surrogates import Surrogates, check_power_spectrum data_path = sample.data_path() -subjects_dir = data_path + '/subjects' +subjects_dir = op.join(data_path, 'subjects') -fname_raw = data_path + '/MEG/sample/sample_audvis_filt-0-40_raw.fif' -fname_event = data_path + '/MEG/sample/sample_audvis_filt-0-40_raw-eve.fif' -fname_inv = data_path + '/MEG/sample/sample_audvis-meg-oct-6-meg-inv.fif' +fname_inv = op.join(data_path, 'MEG/sample/sample_audvis-meg-oct-6-meg-inv.fif') +fname_raw = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw.fif') +fname_event = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw-eve.fif') stcs_testing = True diff --git a/examples/connectivity/plot_generic_grouped_connectivity_circle.py b/examples/connectivity/plot_generic_grouped_connectivity_circle.py index 8267dd03..1e3496dc 100644 --- a/examples/connectivity/plot_generic_grouped_connectivity_circle.py +++ b/examples/connectivity/plot_generic_grouped_connectivity_circle.py @@ -5,20 +5,21 @@ Author: Praveen Sripad """ +import os.path as op from jumeg.connectivity import (plot_generic_grouped_circle, plot_fica_grouped_circle, generate_random_connectivity_matrix) from jumeg import get_jumeg_path # load the yaml grouping of Freesurfer labels -yaml_fname = get_jumeg_path() + '/data/rsn_desikan_aparc_cortex_grouping.yaml' +yaml_fname = op.join(get_jumeg_path(), 'data/rsn_desikan_aparc_cortex_grouping.yaml') # make a random matrix con = generate_random_connectivity_matrix(size=(34, 34), symmetric=True) # load the label names in the original order # this should be same order as the connectivity matrix -labels_fname = get_jumeg_path() + '/data/fica_names.txt' +labels_fname = op.join(get_jumeg_path(), 'data/fica_names.txt') with open(labels_fname, 'r') as f: orig_labels = [line.rstrip('\n') for line in f] diff --git a/examples/connectivity/plot_grouped_connectivity_circle.py b/examples/connectivity/plot_grouped_connectivity_circle.py index 35dde979..08968eb1 100644 --- a/examples/connectivity/plot_grouped_connectivity_circle.py +++ b/examples/connectivity/plot_grouped_connectivity_circle.py @@ -9,6 +9,7 @@ Christian Kiefer """ +import os.path as op from jumeg import get_jumeg_path from jumeg.connectivity import (plot_grouped_connectivity_circle, generate_random_connectivity_matrix) diff --git a/examples/connectivity/plot_label_distances.py b/examples/connectivity/plot_label_distances.py index 9782e19e..1475d1b2 100644 --- a/examples/connectivity/plot_label_distances.py +++ b/examples/connectivity/plot_label_distances.py @@ -2,8 +2,11 @@ """Script to plot label distances on circle and connectome plots.""" +import os.path as op + import mne from mne.datasets import sample +from mne_connectivity import degree from jumeg import get_jumeg_path from jumeg.connectivity import (get_label_distances, @@ -13,18 +16,18 @@ from nilearn import plotting data_path = sample.data_path() -subjects_dir = data_path + '/subjects' +subjects_dir = op.join(data_path, 'subjects') subject = 'sample' parc = 'aparc' -yaml_cortex_fname = get_jumeg_path() + '/data/desikan_%s_cortex_based_grouping.yaml' % parc +yaml_cortex_fname = op.join(get_jumeg_path(), 'data/desikan_%s_cortex_based_grouping.yaml' % parc) -labels_fname = get_jumeg_path() + '/data/desikan_label_names.yaml' +labels_fname = op.join(get_jumeg_path(), 'data/desikan_label_names.yaml') with open(labels_fname, 'r') as f: label_names = yaml.safe_load(f)['label_names'] -replacer_dict_fname = get_jumeg_path() + '/data/replacer_dictionaries.yaml' +replacer_dict_fname = op.join(get_jumeg_path(), 'data/replacer_dictionaries.yaml') with open(replacer_dict_fname, 'r') as f: replacer_dict = yaml.safe_load(f)['replacer_dict_%s' % parc] @@ -49,7 +52,7 @@ colormap='Reds') # compute the degree -degs = mne.connectivity.degree(con, threshold_prop=1) +degs = degree(con, threshold_prop=1) # show the label ROIs and short range connections using nilearn glass brain fig = plotting.plot_connectome(con, coords, node_size=degs, diff --git a/examples/connectivity/plot_labelled_connectivity_circle.py b/examples/connectivity/plot_labelled_connectivity_circle.py index b0863721..517df75b 100644 --- a/examples/connectivity/plot_labelled_connectivity_circle.py +++ b/examples/connectivity/plot_labelled_connectivity_circle.py @@ -6,14 +6,15 @@ Author: Praveen Sripad """ +import os.path as op from jumeg.connectivity import (plot_labelled_group_connectivity_circle, generate_random_connectivity_matrix) from jumeg import get_jumeg_path import yaml # load the yaml grouping of Freesurfer labels -yaml_fname = get_jumeg_path() + '/data/rsn_desikan_aparc_cortex_grouping.yaml' -label_names_yaml_fname = get_jumeg_path() + '/data/desikan_label_names.yaml' +yaml_fname = op.join(get_jumeg_path(), 'data/rsn_desikan_aparc_cortex_grouping.yaml') +label_names_yaml_fname = op.join(get_jumeg_path(), 'data/desikan_label_names.yaml') with open(label_names_yaml_fname, 'r') as f: label_names = yaml.safe_load(f)['label_names'] diff --git a/examples/connectivity/plot_shuffle_time_slices.py b/examples/connectivity/plot_shuffle_time_slices.py index c7e07849..600c0c90 100644 --- a/examples/connectivity/plot_shuffle_time_slices.py +++ b/examples/connectivity/plot_shuffle_time_slices.py @@ -8,15 +8,17 @@ # # License: BSD (3-clause) -import numpy as np import os.path as op +import numpy as np + import mne +from mne.datasets import sample + from jumeg.jumeg_utils import (get_files_from_list, time_shuffle_slices, channel_indices_from_list) -from mne.datasets import sample data_path = sample.data_path() -raw_fname = str(data_path + '/MEG/sample/sample_audvis_raw.fif') +raw_fname = op.join(data_path, 'MEG/sample/sample_audvis_raw.fif') # shuffle all MEG channels that begin with number 11 shflchanlist = ['MEG 11..'] diff --git a/examples/connectivity/plot_simulated_connectivity.py b/examples/connectivity/plot_simulated_connectivity.py index be1603a3..27f9528f 100644 --- a/examples/connectivity/plot_simulated_connectivity.py +++ b/examples/connectivity/plot_simulated_connectivity.py @@ -5,6 +5,7 @@ # Authors : pravsripad@gmail.com # daniel.vandevelden@yahoo.de +import os.path as op import sys import numpy as np import matplotlib.pyplot as pl diff --git a/examples/connectivity/plot_standard_resting_network_on_aparc_annot_map.py b/examples/connectivity/plot_standard_resting_network_on_aparc_annot_map.py index dc82bdb8..fb61f0a2 100644 --- a/examples/connectivity/plot_standard_resting_network_on_aparc_annot_map.py +++ b/examples/connectivity/plot_standard_resting_network_on_aparc_annot_map.py @@ -28,7 +28,7 @@ data_path = sample.data_path() subject = 'sample' -subjects_dir = data_path + '/subjects' +subjects_dir = op.join(data_path, 'subjects') parc_fname = 'standard_garces_2016' csv_fname = op.join(get_jumeg_path(), 'data', 'standard_rsns.csv') diff --git a/examples/connectivity/plot_test_transform_mni_to_ras.py b/examples/connectivity/plot_test_transform_mni_to_ras.py index c2778ce4..648942f0 100644 --- a/examples/connectivity/plot_test_transform_mni_to_ras.py +++ b/examples/connectivity/plot_test_transform_mni_to_ras.py @@ -5,6 +5,7 @@ """ import os +import os.path as op import mne from mne.datasets import sample from surfer import utils @@ -12,12 +13,12 @@ print(__doc__) data_path = sample.data_path() -fname_inv = data_path + '/MEG/sample/sample_audvis-meg-oct-6-meg-inv.fif' -fname_evoked = data_path + '/MEG/sample/sample_audvis-ave.fif' -subjects_dir = data_path + '/subjects' +fname_inv = op.join(data_path, 'MEG/sample/sample_audvis-meg-oct-6-meg-inv.fif') +fname_evoked = op.join(data_path, 'MEG/sample/sample_audvis-ave.fif') +subjects_dir = op.join(data_path, 'subjects') os.environ['SUBJECTS_DIR'] = subjects_dir -stc_fname = data_path + '/MEG/sample/sample_audvis-meg' +stc_fname = op.join(data_path, 'MEG/sample/sample_audvis-meg') stc = mne.read_source_estimate(stc_fname) morph = mne.compute_source_morph(stc, subject_from='sample', diff --git a/examples/connectivity/plot_vertices_around_seed.py b/examples/connectivity/plot_vertices_around_seed.py index 8d9287df..d743aa38 100644 --- a/examples/connectivity/plot_vertices_around_seed.py +++ b/examples/connectivity/plot_vertices_around_seed.py @@ -6,11 +6,12 @@ mainly using functions from within mne.label.grow_labels ''' +import os.path as op import mne from mne.datasets import sample data_path = sample.data_path() -subjects_dir = data_path + '/subjects' +subjects_dir = op.join(data_path, 'subjects') tris, vert, dist = {}, {}, {} hemi = 0 # lh diff --git a/examples/decompose/do_MLICA.py b/examples/decompose/do_MLICA.py index 4776313a..52d802d0 100644 --- a/examples/decompose/do_MLICA.py +++ b/examples/decompose/do_MLICA.py @@ -59,7 +59,7 @@ # read example data file # ---------------------------------------------- path_data = '/data/megraid22/Common/DeepLearning/cau_data_validation/' -raw_fname = path_data + '109925_CAU01A_100715_0842_2_c,rfDC,t1,n_bcc,nr-raw.fif' +raw_fname = op.join(path_data, '109925_CAU01A_100715_0842_2_c,rfDC,t1,n_bcc,nr-raw.fif') raw = mne.io.Raw(raw_fname, preload=True) picks = mne.pick_types(raw.info, meg=True, eeg=False, eog=False, stim=False, exclude='bads') diff --git a/examples/decompose/do_compare_ica_methods.py b/examples/decompose/do_compare_ica_methods.py index 9ca6c9c0..d5331e3c 100644 --- a/examples/decompose/do_compare_ica_methods.py +++ b/examples/decompose/do_compare_ica_methods.py @@ -5,6 +5,7 @@ mne & filtered data, jumeg & filtered data, jumeg & unfiltered data """ +import os.path as op import mne from mne.preprocessing.ica import ICA as ICA_mne from jumeg.decompose.ica_replace_mean_std import ICA as ICA_jumeg @@ -17,9 +18,9 @@ reject = {'mag': 5e-12} data_path = sample.data_path() -subjects_dir = data_path + '/subjects' +subjects_dir = op.join(data_path, 'subjects') -fname_raw = data_path + '/MEG/sample/sample_audvis_raw.fif' +fname_raw = op.join(data_path, 'MEG/sample/sample_audvis_raw.fif') raw = mne.io.Raw(fname_raw, preload=True) raw_filt = raw.copy().filter(flow, fhigh, method='fir', n_jobs=2, fir_design='firwin', phase='zero') diff --git a/examples/decompose/plot_data_distribution.py b/examples/decompose/plot_data_distribution.py index ab186dce..ff11b901 100644 --- a/examples/decompose/plot_data_distribution.py +++ b/examples/decompose/plot_data_distribution.py @@ -4,16 +4,17 @@ Gaussian distribution. ''' +import os.path as op import matplotlib.pyplot as plt import mne from mne.datasets import sample from jumeg.jumeg_plot import plot_histo_fit_gaussian data_path = sample.data_path() -subjects_dir = data_path + '/subjects' +subjects_dir = op.join(data_path, 'subjects') -fname_raw = data_path + '/MEG/sample/sample_audvis_filt-0-40_raw.fif' -fname_event = data_path + '/MEG/sample/sample_audvis_filt-0-40_raw-eve.fif' +fname_raw = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw.fif') +fname_event = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw-eve.fif') raw = mne.io.read_raw_fif(fname_raw) events = mne.read_events(fname_event) diff --git a/examples/decompose/plot_rank_estimation.py b/examples/decompose/plot_rank_estimation.py index a8e5affc..26f12492 100644 --- a/examples/decompose/plot_rank_estimation.py +++ b/examples/decompose/plot_rank_estimation.py @@ -3,6 +3,7 @@ Example script to estimate the rank of the given data array. ''' +import os.path as op import mne import numpy as np from mne.datasets import sample @@ -16,9 +17,9 @@ # filenames and path # ---------------------------------------- data_path = sample.data_path() -subjects_dir = data_path + '/subjects' -fname_raw = data_path + '/MEG/sample/sample_audvis_filt-0-40_raw.fif' -fname_event = data_path + '/MEG/sample/sample_audvis_filt-0-40_raw-eve.fif' +subjects_dir = op.join(data_path, 'subjects') +fname_raw = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw.fif') +fname_event = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw-eve.fif') # ---------------------------------------- # read data and crop to speedup the process diff --git a/examples/mft/plot_perform_mft_surface.py b/examples/mft/plot_perform_mft_surface.py index 8954ed34..02340904 100644 --- a/examples/mft/plot_perform_mft_surface.py +++ b/examples/mft/plot_perform_mft_surface.py @@ -5,22 +5,25 @@ Perform MFT on a surface based forward solution. """ -import numpy as np import os +import os.path as op +import numpy as np + import mne from mne.datasets import sample + from jumeg.mft import apply_mft from jumeg.mft import jumeg_mft_plot data_path = sample.data_path() subject = 'sample' -subjects_dir = data_path + '/subjects' -fwdname = data_path + '/MEG/sample/sample_audvis-meg-oct-6-fwd.fif' +subjects_dir = op.join(data_path, 'subjects') +fwdname = op.join(data_path, 'MEG/sample/sample_audvis-meg-oct-6-fwd.fif') lblname = 'aparc' -evoname = data_path + '/MEG/sample/sample_audvis-ave.fif' +evoname = op.join(data_path, 'MEG/sample/sample_audvis-ave.fif') evocondition = 'Left Auditory' -rawname = data_path + '/MEG/sample/sample_audvis_10s-raw.fif' -t1_fname = subjects_dir + '/' + 'sample/mri/T1.mgz' +rawname = op.join(data_path, 'MEG/sample/sample_audvis_10s-raw.fif') +t1_fname = op.join(subjects_dir, 'sample/mri/T1.mgz') # Set up pick list: MEG - bad channels want_meg = 'mag' diff --git a/examples/mft/plot_perform_mft_surface_list.py b/examples/mft/plot_perform_mft_surface_list.py index 9367f1bc..2efe3ffd 100644 --- a/examples/mft/plot_perform_mft_surface_list.py +++ b/examples/mft/plot_perform_mft_surface_list.py @@ -5,6 +5,7 @@ Perform MFT on a surface based forward solution. """ +import os.path as op import numpy as np import mne from mne.datasets import sample @@ -12,13 +13,13 @@ data_path = sample.data_path() subject = 'sample' -subjects_dir = data_path + '/subjects' -fwdname = data_path + '/MEG/sample/sample_audvis-meg-oct-6-fwd.fif' +subjects_dir = op.join(data_path, 'subjects') +fwdname = op.join(data_path, 'MEG/sample/sample_audvis-meg-oct-6-fwd.fif') lblname = 'aparc' -evoname = data_path + '/MEG/sample/sample_audvis-ave.fif' +evoname = op.join(data_path, 'MEG/sample/sample_audvis-ave.fif') evocondition = 'Left Auditory' -rawname = data_path + '/MEG/sample/sample_audvis_10s-raw.fif' -t1_fname = subjects_dir + '/' + 'sample/mri/T1.mgz' +rawname = op.join(data_path, 'MEG/sample/sample_audvis_10s-raw.fif') +t1_fname = op.join(subjects_dir, 'sample/mri/T1.mgz') # Set up pick list: MEG - bad channels want_meg = 'mag' diff --git a/examples/mft/plot_perform_mft_volume.py b/examples/mft/plot_perform_mft_volume.py index 64ef0ff7..ffbe58c5 100644 --- a/examples/mft/plot_perform_mft_volume.py +++ b/examples/mft/plot_perform_mft_volume.py @@ -4,6 +4,7 @@ ==================== """ +import os.path as op import numpy as np import mne from mne.datasets import sample @@ -11,12 +12,12 @@ data_path = sample.data_path() subject = 'sample' -subjects_dir = data_path + '/subjects' -fwdname = data_path + '/MEG/sample/sample_audvis-meg-vol-7-fwd.fif' -evoname = data_path + '/MEG/sample/sample_audvis-ave.fif' +subjects_dir = op.join(data_path, 'subjects') +fwdname = op.join(data_path, 'MEG/sample/sample_audvis-meg-vol-7-fwd.fif') +evoname = op.join(data_path, 'MEG/sample/sample_audvis-ave.fif') evocondition = 'Left Auditory' -rawname = data_path + '/MEG/sample/sample_audvis_10s-raw.fif' -t1_fname = subjects_dir + '/' + 'sample/mri/T1.mgz' +rawname = op.join(data_path, 'MEG/sample/sample_audvis_10s-raw.fif') +t1_fname = op.join(subjects_dir, 'sample/mri/T1.mgz') # Set up pick list: MEG - bad channels want_meg = 'mag' diff --git a/examples/preprocessing/plot_compare_jumeg_filters.py b/examples/preprocessing/plot_compare_jumeg_filters.py index 0e797d93..21a88aa5 100644 --- a/examples/preprocessing/plot_compare_jumeg_filters.py +++ b/examples/preprocessing/plot_compare_jumeg_filters.py @@ -7,6 +7,8 @@ Comparison of the various filters available for use in mne/jumeg. ''' +import os.path as op + import numpy as np import matplotlib.pyplot as plt @@ -16,7 +18,7 @@ from jumeg.filter import jumeg_filter data_path = sample.data_path() -raw_fname = data_path + '/MEG/sample/sample_audvis_raw.fif' +raw_fname = op.join(data_path, 'MEG/sample/sample_audvis_raw.fif') # load the raw data raw = mne.io.Raw(raw_fname, preload=True) @@ -24,7 +26,7 @@ print('Sampling frequency is %f' % raw.info['sfreq']) # plot the raw psd -fig = raw.plot_psd(tmin=0.0, tmax=160., fmin=0, fmax=np.inf, n_fft=None, +fig = raw.plot_psd(tmin=0.0, tmax=160., fmin=0, fmax=np.inf, picks=picks, ax=None, color='black', area_mode='std', area_alpha=0.33, n_overlap=0, dB=True, average=True, show=False, n_jobs=4, line_alpha=None, diff --git a/examples/preprocessing/plot_interpolate_bads.py b/examples/preprocessing/plot_interpolate_bads.py index f69d862d..4a634a05 100644 --- a/examples/preprocessing/plot_interpolate_bads.py +++ b/examples/preprocessing/plot_interpolate_bads.py @@ -4,17 +4,19 @@ sensors for bad channel correction. """ +import os.path as op + import mne from mne.datasets import sample from jumeg import suggest_bads from jumeg import interpolate_bads data_path = sample.data_path() -subjects_dir = data_path + '/subjects' +subjects_dir = op.join(data_path, 'subjects') -fname_raw = data_path + '/MEG/sample/sample_audvis_raw.fif' +raw_fname = op.join(data_path, 'MEG/sample/sample_audvis_raw.fif') -raw = mne.io.Raw(fname_raw, preload=True) +raw = mne.io.Raw(raw_fname, preload=True) mybads, raw = suggest_bads(raw, show_raw=False, summary_plot=False) # origin = None causes the method to use the sensor center of mass as origin diff --git a/examples/preprocessing/plot_noise_reducer.py b/examples/preprocessing/plot_noise_reducer.py index 892d07ff..be228032 100644 --- a/examples/preprocessing/plot_noise_reducer.py +++ b/examples/preprocessing/plot_noise_reducer.py @@ -14,7 +14,7 @@ plt.ion() # load the jumeg sample data (has to be BTI) -data_dir = os.environ('JUSAMPLE_MEG_PATH') +data_dir = os.environ['JUSAMPLE_MEG_PATH'] subject = '207184' raw_fname = op.join(data_dir, 'recordings', subject, 'sample_207184_rest_EC-raw.fif') diff --git a/examples/preprocessing/plot_suggest_bads.py b/examples/preprocessing/plot_suggest_bads.py index 26ff27f1..99d67c7a 100644 --- a/examples/preprocessing/plot_suggest_bads.py +++ b/examples/preprocessing/plot_suggest_bads.py @@ -3,15 +3,15 @@ Example code to use the jumeg suggest bads functionality. ''' +import os.path as op import mne from mne.datasets import sample from jumeg import suggest_bads # provide the path of the filename: data_path = sample.data_path() -subjects_dir = data_path + '/subjects' - -raw_fname = str(data_path + '/MEG/sample/sample_audvis_raw.fif') +subjects_dir = op.join(data_path, 'subjects') +raw_fname = op.join(data_path, 'MEG/sample/sample_audvis_raw.fif') raw = mne.io.Raw(raw_fname, preload=True) diff --git a/jumeg/mft/jumeg_mft_funcs.py b/jumeg/mft/jumeg_mft_funcs.py index eb808013..9f6bb7f2 100644 --- a/jumeg/mft/jumeg_mft_funcs.py +++ b/jumeg/mft/jumeg_mft_funcs.py @@ -331,7 +331,7 @@ def apply_mft(fwdspec, dataspec, evocondition=None, meg='mag', list of stcs in case of iterlist!=None """ twgbl0 = time.time() - tcgbl0 = time.clock() + tcgbl0 = time.perf_clock() # Use mftparm as local copy of mftpar to keep that ro. mftparm = {} @@ -460,7 +460,7 @@ def apply_mft(fwdspec, dataspec, evocondition=None, meg='mag', if cdmlabels is not None: if verbosity >= 1: print("########## Searching for label(s) in source space(s)...") - tc0 = time.clock() + tc0 = time.perf_clock() tw0 = time.time() numcdmlabels = 0 @@ -517,7 +517,7 @@ def apply_mft(fwdspec, dataspec, evocondition=None, meg='mag', warnings.warn('NO vertex found for label \'%s\' in any source space' % label.name) if verbosity >= 1: print("--> sums: %5d verts %4d used" % (labvrtstot, labvrtsusd)) - tc1 = time.clock() + tc1 = time.perf_clock() tw1 = time.time() print("prep. labels took %.3f" % (1000. * (tc1 - tc0)), "ms (%.3f s walltime)" % (tw1 - tw0)) @@ -656,7 +656,7 @@ def apply_mft(fwdspec, dataspec, evocondition=None, meg='mag', if verbosity >= 1: print("########## Calculate initial prob-dist:") tw0 = time.time() - tc0 = time.clock() + tc0 = time.perf_clock() if mftparm['prbfct'] == 'gauss': wtmp = np.zeros(n_loc // 3) for icnt in range(prbcnt.shape[0]): @@ -687,7 +687,7 @@ def apply_mft(fwdspec, dataspec, evocondition=None, meg='mag', if verbosity >= 2 and mftparm['prbfct'] == 'random': wvecnorm = np.sum(np.sqrt(np.sum(np.reshape(wdist3, (wdist3.shape[0] / 3, 3)) ** 2, axis=1))) print("sum(||wvec(i)||) = ", wvecnorm) - tc1 = time.clock() + tc1 = time.perf_clock() tw1 = time.time() if isinstance(mftparm['prblog'], str): wdisttabfile = open(mftparm['prblog'], mode='w') @@ -708,7 +708,7 @@ def apply_mft(fwdspec, dataspec, evocondition=None, meg='mag', if verbosity >= 1: print("########## Calculate P-matrix, incl. weights:") tw0 = time.time() - tc0 = time.clock() + tc0 = time.perf_clock() # Split the leadfield matrix into submatrices for speed # cf. https://www.johndcook.com/blog/2018/08/31/how-fast-can-you-multiply-matrices/ # https://en.wikipedia.org/wiki/Matrix_multiplication_algorithm @@ -726,7 +726,7 @@ def apply_mft(fwdspec, dataspec, evocondition=None, meg='mag', # print "allclose(pmat0,pmat1) = ", np.allclose(pmat0,pmat1) # # Avoiding sqrt is expensive! # # pmat0 = np.einsum('ik, k, jk -> ij', lfmag, wdist3, lfmag) - tc1 = time.clock() + tc1 = time.perf_clock() tw1 = time.time() tptotwall += (tw1 - tw0) tptotcpu += (tc1 - tc0) @@ -889,7 +889,7 @@ def apply_mft(fwdspec, dataspec, evocondition=None, meg='mag', stcdatalist[iil][iloc, islice] = cdvnorms[iloc] tlw0 = time.time() - tlc0 = time.clock() + tlc0 = time.perf_clock() for mftiter in range(mftparm['iter']): # MFT iteration loop: @@ -906,7 +906,7 @@ def apply_mft(fwdspec, dataspec, evocondition=None, meg='mag', # Calculate new P-matrix, incl. weights: tw0 = time.time() - tc0 = time.clock() + tc0 = time.perf_clock() rtwd3 = np.repeat(np.sqrt(pscalefct * wdist), 3) ilastseg = n_loc - n_loc % ibsize lfw = lfmag[:, ilastseg:] * rtwd3[ilastseg:] @@ -917,7 +917,7 @@ def apply_mft(fwdspec, dataspec, evocondition=None, meg='mag', # lfw = lfmag*np.repeat(np.sqrt(pscalefct*wdist),3) # pmat = np.einsum('ik,jk->ij',lfw,lfw) - tc1 = time.clock() + tc1 = time.perf_clock() tw1 = time.time() tptotwall += (tw1 - tw0) tptotcpu += (tc1 - tc0) @@ -951,7 +951,7 @@ def apply_mft(fwdspec, dataspec, evocondition=None, meg='mag', for iloc in range(n_loc // 3): stcdatalist[iil][iloc, islice] = cdvnorms[iloc] - tc1 = time.clock() + tc1 = time.perf_clock() tw1 = time.time() tltotwall += (tw1 - tlw0) tltotcpu += (tc1 - tlc0) @@ -964,7 +964,7 @@ def apply_mft(fwdspec, dataspec, evocondition=None, meg='mag', qualdata['rdmerr'][islice] = rdmerr qualdata['mag'][islice] = mag - tc0 = time.clock() + tc0 = time.perf_clock() tw0 = time.time() if 'cdmall' in qualdata: (qualdata['cdmall'][islice], qualdata['jlgall'][islice]) = scan_cdm_w_cut(cdv, cdmcut) @@ -980,7 +980,7 @@ def apply_mft(fwdspec, dataspec, evocondition=None, meg='mag', scan_cdm_w_cut(cdvecs[labinds[ilab], :], cdmcut) qualdata['jtotlabels'][ilab, islice] = \ calc_jtotal_w_cut(cdvecs[labinds[ilab], :], cdmcut) - tc1 = time.clock() + tc1 = time.perf_clock() tw1 = time.time() tpcdmwall += (tw1 - tw0) tpcdmcpu += (tc1 - tc0) @@ -1065,7 +1065,7 @@ def apply_mft(fwdspec, dataspec, evocondition=None, meg='mag', print("##### done.") twgbl1 = time.time() - tcgbl1 = time.clock() + tcgbl1 = time.perf_clock() if verbosity >= 1: print("calc(lf*w*lf.T) took total %9.2f s CPU-time (%9.2f s walltime)" % (tptotcpu, tptotwall)) print("calc(lf*w*lf.T) took per call %9.2fms CPU-time (%9.2fms walltime)" % \ From 5cff9c9b49e96bf31cee477fd7ee757c85d0a7cf Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Fri, 20 Jan 2023 15:54:36 +0100 Subject: [PATCH 03/45] Include docstrings to examples for sphinx. --- examples/causality/do_granger_causality.py | 4 ++++ examples/causality/plot_causality_circle.py | 8 +++++++- .../plot_inter_and_intra_lobe_causality.py | 4 ++++ .../connectivity/plot_annot_standard_rsns.py | 10 ++++++++-- .../connectivity/plot_brain_connectome.py | 4 ++++ .../plot_circle_lines_and_blobs.py | 4 ++++ examples/connectivity/plot_communities.py | 4 ++++ .../plot_compute_epochs_surrogates.py | 4 ++++ .../plot_compute_label_distances.py | 7 ++++++- ...plot_connectivity_between_standard_rsns.py | 6 ++++-- ...plot_custom_grouped_connectivity_circle.py | 4 ++++ examples/connectivity/plot_degree_circle.py | 4 ++++ .../plot_destriux_atlas_based_connectivity.py | 7 ++++++- .../plot_generate_surrogate_connectivity.py | 20 ++++++++++++------- .../plot_generate_surrogate_stcs.py | 5 +++++ ...lot_generic_grouped_connectivity_circle.py | 7 ++++++- .../plot_grouped_connectivity_circle.py | 5 ++++- examples/connectivity/plot_label_distances.py | 8 +++++++- .../plot_labelled_connectivity_circle.py | 4 ++++ .../plot_simulated_connectivity.py | 8 +++++++- ...dard_resting_network_on_aparc_annot_map.py | 4 ++++ .../connectivity/plot_surrogate_methods.py | 8 +++++++- .../plot_test_transform_mni_to_ras.py | 4 ++-- .../connectivity/plot_vertices_around_seed.py | 4 ++++ examples/decompose/do_MLICA.py | 4 ++++ examples/decompose/do_compare_ica_methods.py | 4 ++++ examples/decompose/plot_data_distribution.py | 4 ++++ examples/decompose/plot_rank_estimation.py | 4 ++++ examples/mft/plot_perform_mft_surface.py | 1 + examples/mft/plot_perform_mft_surface_list.py | 1 + examples/mft/plot_perform_mft_volume.py | 2 +- .../plot_compare_jumeg_filters.py | 2 ++ .../preprocessing/plot_interpolate_bads.py | 4 ++++ examples/preprocessing/plot_noise_reducer.py | 4 ++++ examples/preprocessing/plot_suggest_bads.py | 4 ++++ 35 files changed, 159 insertions(+), 22 deletions(-) diff --git a/examples/causality/do_granger_causality.py b/examples/causality/do_granger_causality.py index c2c1b6e3..c239677a 100755 --- a/examples/causality/do_granger_causality.py +++ b/examples/causality/do_granger_causality.py @@ -1,6 +1,10 @@ #!/usr/bin/env python3 ''' +============= +Granger Causality Analysis +============= + Perform Granger based causality analysis using Generalized Parital Directed Coherence on example dataset. diff --git a/examples/causality/plot_causality_circle.py b/examples/causality/plot_causality_circle.py index 7ada9ff2..a76c2263 100755 --- a/examples/causality/plot_causality_circle.py +++ b/examples/causality/plot_causality_circle.py @@ -1,6 +1,12 @@ #!/usr/bin/env python3 -"""Example showing how to plot a causality matrix on a circle plot.""" +""" +============= +Plot Causality Matrix +============= + +Example showing how to plot a causality matrix on a circle plot. +""" import numpy as np diff --git a/examples/causality/plot_inter_and_intra_lobe_causality.py b/examples/causality/plot_inter_and_intra_lobe_causality.py index f10211b8..dccd8f14 100644 --- a/examples/causality/plot_inter_and_intra_lobe_causality.py +++ b/examples/causality/plot_inter_and_intra_lobe_causality.py @@ -1,4 +1,8 @@ """ +============= +Group Causality Matrix +============= + Group a causality matrix by lobes and plot the resulting inter- and intra-lobe causality. diff --git a/examples/connectivity/plot_annot_standard_rsns.py b/examples/connectivity/plot_annot_standard_rsns.py index e360e73b..aa97e825 100644 --- a/examples/connectivity/plot_annot_standard_rsns.py +++ b/examples/connectivity/plot_annot_standard_rsns.py @@ -1,6 +1,10 @@ #!/usr/bin/env python3 ''' +============= +Visualise Standard RSNs +============= + Grow and visualize standard resting state ROIs from literature. 1. Read ROIs of standard regions involved in resting state networks from literature. @@ -29,7 +33,7 @@ data_path = sample.data_path() subject = 'sample' -subjects_dir = data_path + '/subjects' +subjects_dir = op.join(data_path, 'subjects') parc_fname = 'standard_garces_2016' csv_fname = op.join(get_jumeg_path(), 'data', 'standard_rsns.csv') @@ -47,8 +51,10 @@ plotting.show() # plot the brain surface, foci and labels +Brain = mne.viz.get_brain_class() brain = Brain(subject, hemi='both', surf='white', subjects_dir=subjects_dir) + for mni_coord, mylabel in zip(coords, labels): brain.add_foci(mni_coord, coords_as_verts=False, hemi=mylabel.hemi, - color='red', map_surface='white', scale_factor=0.6) + color='red', scale_factor=0.6) brain.add_label(mylabel, hemi=mylabel.hemi) diff --git a/examples/connectivity/plot_brain_connectome.py b/examples/connectivity/plot_brain_connectome.py index 85870991..af60f709 100644 --- a/examples/connectivity/plot_brain_connectome.py +++ b/examples/connectivity/plot_brain_connectome.py @@ -1,6 +1,10 @@ #!/usr/bin/env python """ +============= +Plot brain connectome +============= + Plot connectivity on a glass brain using 'plot_connectome' function from Nilearn (https://nilearn.github.io/). diff --git a/examples/connectivity/plot_circle_lines_and_blobs.py b/examples/connectivity/plot_circle_lines_and_blobs.py index 55ea3cbe..21b41448 100644 --- a/examples/connectivity/plot_circle_lines_and_blobs.py +++ b/examples/connectivity/plot_circle_lines_and_blobs.py @@ -1,4 +1,8 @@ ''' +============= +Plot centrality indices on connectivity circle plot +============= + Script to show functionality to plot centrality indices along with connectivity circle plot. ''' diff --git a/examples/connectivity/plot_communities.py b/examples/connectivity/plot_communities.py index 1928d0d8..814829f0 100644 --- a/examples/connectivity/plot_communities.py +++ b/examples/connectivity/plot_communities.py @@ -1,6 +1,10 @@ #!/usr/bin/env python """ +============= +Plot network communities +============= + Plot Networkx Communities on a connectome plot. Author: Praveen Sripad diff --git a/examples/connectivity/plot_compute_epochs_surrogates.py b/examples/connectivity/plot_compute_epochs_surrogates.py index 612f297f..ab982f6c 100644 --- a/examples/connectivity/plot_compute_epochs_surrogates.py +++ b/examples/connectivity/plot_compute_epochs_surrogates.py @@ -1,6 +1,10 @@ #!/usr/bin/env python ''' +============= +Surrogate Connectivity Generation +============= + Example to show surrogate generation on Epochs using the jumeg Surrogates module. ''' diff --git a/examples/connectivity/plot_compute_label_distances.py b/examples/connectivity/plot_compute_label_distances.py index fc7aa36e..eae0ae30 100644 --- a/examples/connectivity/plot_compute_label_distances.py +++ b/examples/connectivity/plot_compute_label_distances.py @@ -1,6 +1,11 @@ #!/usr/bin/env python3 -"""Script show how to compute and visualize distance between label center of +""" +============= +Compute Label Distances +============= + +Script show how to compute and visualize distance between label center of masses for a given subject. Author: Praveen Sripad diff --git a/examples/connectivity/plot_connectivity_between_standard_rsns.py b/examples/connectivity/plot_connectivity_between_standard_rsns.py index 8dcc36f4..9c8e22b0 100644 --- a/examples/connectivity/plot_connectivity_between_standard_rsns.py +++ b/examples/connectivity/plot_connectivity_between_standard_rsns.py @@ -10,6 +10,8 @@ Author: Praveen sripad ''' +import os.path as op + import numpy as np import matplotlib.pyplot as plt @@ -71,7 +73,7 @@ fmax = 13. sfreq = raw.info['sfreq'] # the sampling frequency con_methods = ['coh', 'wpli'] -con, freqs, times, n_epochs, n_tapers = spectral_connectivity_epochs( +con = spectral_connectivity_epochs( label_ts, method=con_methods, mode='multitaper', sfreq=sfreq, fmin=fmin, fmax=fmax, faverage=True, mt_adaptive=True, n_jobs=4) @@ -79,7 +81,7 @@ # for each method con_res = dict() for method, c in zip(con_methods, con): - con_res[method] = c[:, :, 0] + con_res[method] = c.get_data(output='dense')[:, :, 0] # Now, we visualize the connectivity using a circular graph layout # First, we reorder the labels based on their location in the left hemi diff --git a/examples/connectivity/plot_custom_grouped_connectivity_circle.py b/examples/connectivity/plot_custom_grouped_connectivity_circle.py index 994c9b72..29b01a22 100644 --- a/examples/connectivity/plot_custom_grouped_connectivity_circle.py +++ b/examples/connectivity/plot_custom_grouped_connectivity_circle.py @@ -1,6 +1,10 @@ #!/usr/bin/env python """ +============= +Plot Custom Grouped Circle +============= + Example how to create a custom label groups and plot grouped connectivity circle with these labels. diff --git a/examples/connectivity/plot_degree_circle.py b/examples/connectivity/plot_degree_circle.py index eb0168d3..e630c044 100644 --- a/examples/connectivity/plot_degree_circle.py +++ b/examples/connectivity/plot_degree_circle.py @@ -1,6 +1,10 @@ #!/usr/bin/env python ''' +============= +Plot degree circle +============= + Plot degree values for a given set of nodes in a simple circle plot. ''' diff --git a/examples/connectivity/plot_destriux_atlas_based_connectivity.py b/examples/connectivity/plot_destriux_atlas_based_connectivity.py index 074a2ebb..aa17154d 100644 --- a/examples/connectivity/plot_destriux_atlas_based_connectivity.py +++ b/examples/connectivity/plot_destriux_atlas_based_connectivity.py @@ -1,6 +1,11 @@ #!/usr/bin/env python -"""Read grouped aparc labels from yaml file. +""" +============= +Plot Destriux Atlas +============= + +Read grouped aparc labels from yaml file. Plot grouped connectivity circle with these grouped labels for the Destriux atlas. diff --git a/examples/connectivity/plot_generate_surrogate_connectivity.py b/examples/connectivity/plot_generate_surrogate_connectivity.py index 91d1f009..ef2b03b5 100644 --- a/examples/connectivity/plot_generate_surrogate_connectivity.py +++ b/examples/connectivity/plot_generate_surrogate_connectivity.py @@ -7,12 +7,12 @@ import numpy as np import matplotlib.pyplot as pl -from jumeg.jumeg_surrogates import Surrogates - +import mne from mne_connectivity import spectral_connectivity_epochs from mne.datasets import sample from mne.minimum_norm import read_inverse_operator, apply_inverse_epochs -import mne + +from jumeg.jumeg_surrogates import Surrogates data_path = sample.data_path() subjects_dir = op.join(data_path, 'subjects') @@ -63,9 +63,12 @@ n_rois = len(labels) full_surr_con = np.zeros((3, n_rois, n_rois, 1, n_surr)) -real_con, freqs, times, n_epochs, n_tapers = spectral_connectivity_epochs( +real_con = spectral_connectivity_epochs( label_ts, method=con_methods, mode='fourier', sfreq=sfreq, - fmin=fmin, fmax=fmax, faverage=True, mt_adaptive=True, n_jobs=4) + fmin=fmin, fmax=fmax, faverage=True, n_jobs=4) + +# get the data from SpectralConnectivity object and expand it +real_con = np.array([c.get_data(output='dense') for c in real_con]) # loop through each of the label_ts from each epoch (i.e. 71) # for my_label_ts in label_ts: @@ -75,10 +78,13 @@ return_generator=True) for ind_surr, surr in enumerate(surr_label_ts): - con, freqs, times, n_epochs, n_tapers = spectral_connectivity_epochs( + con = spectral_connectivity_epochs( surr, method=con_methods, mode='fourier', sfreq=sfreq, - fmin=fmin, fmax=fmax, faverage=True, mt_adaptive=True, n_jobs=4) + fmin=fmin, fmax=fmax, faverage=True, n_jobs=4) + + con = np.array([c.get_data(output='dense') for c in con]) + # con now a list of arrays # con shape (method, n_signals, n_signals, n_freqs) full_surr_con[:, :, :, :, ind_surr] = con assert full_surr_con.flatten().max() <= 1., 'Maximum connectivity is above 1.' diff --git a/examples/connectivity/plot_generate_surrogate_stcs.py b/examples/connectivity/plot_generate_surrogate_stcs.py index cf20696c..6df3704d 100644 --- a/examples/connectivity/plot_generate_surrogate_stcs.py +++ b/examples/connectivity/plot_generate_surrogate_stcs.py @@ -1,6 +1,11 @@ #!/usr/bin/env python ''' +============= +Generate surrogate STCs +============= + + Example to show surrogate generation on STCs using the jumeg Surrogates module. ''' diff --git a/examples/connectivity/plot_generic_grouped_connectivity_circle.py b/examples/connectivity/plot_generic_grouped_connectivity_circle.py index 1e3496dc..8d4e6dc1 100644 --- a/examples/connectivity/plot_generic_grouped_connectivity_circle.py +++ b/examples/connectivity/plot_generic_grouped_connectivity_circle.py @@ -1,6 +1,11 @@ #!/usr/bin/env python3 -"""Script exposing circle plots with outer ring. +""" +============= +Generic Grouped Connectivity Circle +============= + +Script exposing circle plots with outer ring. Author: Praveen Sripad diff --git a/examples/connectivity/plot_grouped_connectivity_circle.py b/examples/connectivity/plot_grouped_connectivity_circle.py index 08968eb1..be83cb29 100644 --- a/examples/connectivity/plot_grouped_connectivity_circle.py +++ b/examples/connectivity/plot_grouped_connectivity_circle.py @@ -1,6 +1,9 @@ #!/usr/bin/env python -"""Plot grouped connectivity circle. +""" +============= +Plot grouped connectivity circle. +============= Example showing how to read grouped aparc labels from yaml file and plot grouped connectivity circle with these labels. diff --git a/examples/connectivity/plot_label_distances.py b/examples/connectivity/plot_label_distances.py index 1475d1b2..367abd6a 100644 --- a/examples/connectivity/plot_label_distances.py +++ b/examples/connectivity/plot_label_distances.py @@ -1,6 +1,12 @@ #!/usr/bin/env python -"""Script to plot label distances on circle and connectome plots.""" +""" +========== +Plot label distances +========== + +Script to plot label distances on circle and connectome plots. +""" import os.path as op diff --git a/examples/connectivity/plot_labelled_connectivity_circle.py b/examples/connectivity/plot_labelled_connectivity_circle.py index 517df75b..5d2ea765 100644 --- a/examples/connectivity/plot_labelled_connectivity_circle.py +++ b/examples/connectivity/plot_labelled_connectivity_circle.py @@ -1,6 +1,10 @@ #!/usr/bin/env python3 """ +========== +Plot labelled connectivity circle +========== + Example exposing the plot_labelled_group_connectivity_circle function. Author: Praveen Sripad diff --git a/examples/connectivity/plot_simulated_connectivity.py b/examples/connectivity/plot_simulated_connectivity.py index 27f9528f..6d2ba353 100644 --- a/examples/connectivity/plot_simulated_connectivity.py +++ b/examples/connectivity/plot_simulated_connectivity.py @@ -1,6 +1,12 @@ #!/usr/bin/env python -'''Simple implementations of connectivity measures.''' +''' +========== +Simulating Connectivity +========== + +Simple implementations of connectivity measures. +''' # Authors : pravsripad@gmail.com # daniel.vandevelden@yahoo.de diff --git a/examples/connectivity/plot_standard_resting_network_on_aparc_annot_map.py b/examples/connectivity/plot_standard_resting_network_on_aparc_annot_map.py index fb61f0a2..28fe8cba 100644 --- a/examples/connectivity/plot_standard_resting_network_on_aparc_annot_map.py +++ b/examples/connectivity/plot_standard_resting_network_on_aparc_annot_map.py @@ -2,6 +2,10 @@ # -*- coding: utf-8 -*- ''' +========== +Standard RSNs on the connectivity circle +========== + Plot the visualization of the standard resting state network on the connectivity circle plot showing the Freesurfer aparc annotation map. diff --git a/examples/connectivity/plot_surrogate_methods.py b/examples/connectivity/plot_surrogate_methods.py index 32183e6f..0956e7e0 100644 --- a/examples/connectivity/plot_surrogate_methods.py +++ b/examples/connectivity/plot_surrogate_methods.py @@ -1,5 +1,11 @@ #!/usr/bin/env python -'''Plotting vrious methods used to generate surrogates.''' +''' +========== +Plot surrogate methods +========== + +Plotting vrious methods used to generate surrogates. +''' import numpy as np import mne diff --git a/examples/connectivity/plot_test_transform_mni_to_ras.py b/examples/connectivity/plot_test_transform_mni_to_ras.py index 648942f0..ac4b47fe 100644 --- a/examples/connectivity/plot_test_transform_mni_to_ras.py +++ b/examples/connectivity/plot_test_transform_mni_to_ras.py @@ -53,5 +53,5 @@ brain.add_label('mycoord-lh.label', color="darkseagreen", alpha=.8) # if the new mni_coords are computed -brain.add_foci(mni_coords, coords_as_verts=False, hemi='lh', color='red', - map_surface='white', scale_factor=0.6) +brain.add_foci(mni_coords, coords_as_verts=False, hemi='lh', + color='red', scale_factor=0.6) diff --git a/examples/connectivity/plot_vertices_around_seed.py b/examples/connectivity/plot_vertices_around_seed.py index d743aa38..d5b1183e 100644 --- a/examples/connectivity/plot_vertices_around_seed.py +++ b/examples/connectivity/plot_vertices_around_seed.py @@ -1,6 +1,10 @@ #!/usr/bin/env python ''' +========== +Plot vertices around seed. +========== + Find distances between vertices and plot vertices in a small region. mainly using functions from within mne.label.grow_labels diff --git a/examples/decompose/do_MLICA.py b/examples/decompose/do_MLICA.py index 52d802d0..8f671422 100644 --- a/examples/decompose/do_MLICA.py +++ b/examples/decompose/do_MLICA.py @@ -1,4 +1,8 @@ """ +========== +Do MLICA +========== + Compute ICA object based on filtered and downsampled data. Identify ECG and EOG artifacts using the pre-trained DCNN model and compare results using correlation & ctps analysis. diff --git a/examples/decompose/do_compare_ica_methods.py b/examples/decompose/do_compare_ica_methods.py index d5331e3c..aa4098fd 100644 --- a/examples/decompose/do_compare_ica_methods.py +++ b/examples/decompose/do_compare_ica_methods.py @@ -1,4 +1,8 @@ """ +========== +Compare ICA methods +========== + Compute the ica object on filtered data based on the mne and on the jumeg method. Compare pca_mean_ and pre_whitener_ for: diff --git a/examples/decompose/plot_data_distribution.py b/examples/decompose/plot_data_distribution.py index ff11b901..4702278f 100644 --- a/examples/decompose/plot_data_distribution.py +++ b/examples/decompose/plot_data_distribution.py @@ -1,5 +1,9 @@ #!/usr/bin/env python ''' +========== +Plot data distribution +========== + Example script to plot a given data distribution compared with a standard Gaussian distribution. ''' diff --git a/examples/decompose/plot_rank_estimation.py b/examples/decompose/plot_rank_estimation.py index 26f12492..0e6daec9 100644 --- a/examples/decompose/plot_rank_estimation.py +++ b/examples/decompose/plot_rank_estimation.py @@ -1,5 +1,9 @@ #!/usr/bin/env python ''' +========== +Plot rank estimation +========== + Example script to estimate the rank of the given data array. ''' diff --git a/examples/mft/plot_perform_mft_surface.py b/examples/mft/plot_perform_mft_surface.py index 02340904..2521fe43 100644 --- a/examples/mft/plot_perform_mft_surface.py +++ b/examples/mft/plot_perform_mft_surface.py @@ -1,6 +1,7 @@ """ ==================== Jumeg MFT example. +==================== Perform MFT on a surface based forward solution. """ diff --git a/examples/mft/plot_perform_mft_surface_list.py b/examples/mft/plot_perform_mft_surface_list.py index 2efe3ffd..f91fc1a5 100644 --- a/examples/mft/plot_perform_mft_surface_list.py +++ b/examples/mft/plot_perform_mft_surface_list.py @@ -1,6 +1,7 @@ """ ==================== Jumeg MFT example. +==================== Perform MFT on a surface based forward solution. """ diff --git a/examples/mft/plot_perform_mft_volume.py b/examples/mft/plot_perform_mft_volume.py index ffbe58c5..016b57f3 100644 --- a/examples/mft/plot_perform_mft_volume.py +++ b/examples/mft/plot_perform_mft_volume.py @@ -1,6 +1,6 @@ """ ==================== -Jumeg MFT example. +Jumeg MFT volume. ==================== """ diff --git a/examples/preprocessing/plot_compare_jumeg_filters.py b/examples/preprocessing/plot_compare_jumeg_filters.py index 21a88aa5..f7a450a7 100644 --- a/examples/preprocessing/plot_compare_jumeg_filters.py +++ b/examples/preprocessing/plot_compare_jumeg_filters.py @@ -2,7 +2,9 @@ # coding: utf-8 ''' +==================== Filtering in jumeg. +==================== Comparison of the various filters available for use in mne/jumeg. ''' diff --git a/examples/preprocessing/plot_interpolate_bads.py b/examples/preprocessing/plot_interpolate_bads.py index 4a634a05..1f05ac02 100644 --- a/examples/preprocessing/plot_interpolate_bads.py +++ b/examples/preprocessing/plot_interpolate_bads.py @@ -1,4 +1,8 @@ """ +==================== +Plot and interpolate bads +==================== + Use suggest_bads to automatically identify bad MEG channels and use interpolate_bads based on the center of mass of the sensors for bad channel correction. diff --git a/examples/preprocessing/plot_noise_reducer.py b/examples/preprocessing/plot_noise_reducer.py index be228032..5f035fa6 100644 --- a/examples/preprocessing/plot_noise_reducer.py +++ b/examples/preprocessing/plot_noise_reducer.py @@ -1,5 +1,9 @@ #!/usr/bin/env python ''' +==================== +Plot noise reducer +==================== + Script to show the application of noise reducer on jusample data. ''' diff --git a/examples/preprocessing/plot_suggest_bads.py b/examples/preprocessing/plot_suggest_bads.py index 99d67c7a..b9453f3e 100644 --- a/examples/preprocessing/plot_suggest_bads.py +++ b/examples/preprocessing/plot_suggest_bads.py @@ -1,5 +1,9 @@ #!/usr/bin/env python ''' +==================== +Plot suggest bads. +==================== + Example code to use the jumeg suggest bads functionality. ''' From 555a2da3ce5f48875a9e2aba52d9d7d68a153e7a Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Fri, 20 Jan 2023 15:55:33 +0100 Subject: [PATCH 04/45] Fix some bugs related to API changes. Change path import style. Update setup.py. --- jumeg/filter/jumeg_filter.py | 9 ++++++--- jumeg/jumeg_plot.py | 14 ++++++------- jumeg/jumeg_suggest_bads.py | 8 ++++++-- jumeg/jumeg_test.py | 33 +++++++++++++++++++------------ jumeg/jumeg_utils.py | 22 ++++++++++----------- jumeg/mft/jumeg_mft_funcs.py | 38 ++++++++++++++++++++---------------- jumeg/mft/jumeg_mft_plot.py | 5 +++-- setup.py | 8 ++++---- 8 files changed, 78 insertions(+), 59 deletions(-) diff --git a/jumeg/filter/jumeg_filter.py b/jumeg/filter/jumeg_filter.py index 5ace3a30..6bd2776e 100644 --- a/jumeg/filter/jumeg_filter.py +++ b/jumeg/filter/jumeg_filter.py @@ -1,7 +1,10 @@ #!/usr/bin/env python3 # -*- coding: utf-8 -*- -import os,sys,argparse +import os.path as op +import os +import sys +import argparse import logging import numpy as np @@ -303,8 +306,8 @@ def main(argv): #--- ToDo make logfile dir in fileout dir if opt.logfile: - name = os.path.basename(argv[0]) - HFile = jumeg_logger.LogFileHandler(name=os.path.splitext(name),mode="w") + name = op.basename(argv[0]) + HFile = jumeg_logger.LogFileHandler(name=op.splitext(name),mode="w") HFile.setLevel(logging.DEBUG) logger.addHandler(HFile) diff --git a/jumeg/jumeg_plot.py b/jumeg/jumeg_plot.py index a38dcf9a..bd140341 100644 --- a/jumeg/jumeg_plot.py +++ b/jumeg/jumeg_plot.py @@ -1,7 +1,7 @@ """ Plotting functions for jumeg. """ -import os +import os.path as op import numpy as np import mne @@ -21,7 +21,7 @@ def plot_powerspectrum(fname, raw=None, picks=None, dir_plots='plots', from distutils.dir_util import mkpath if raw is None: - assert os.path.isfile(fname), 'ERROR: file not found: ' + fname + assert op.isfile(fname), 'ERROR: file not found: ' + fname raw = mne.io.Raw(fname, preload=True) if picks is None: @@ -31,11 +31,11 @@ def plot_powerspectrum(fname, raw=None, picks=None, dir_plots='plots', if dir_plots is None: dir_plots = '.' else: - dir_plots = os.path.join(os.path.dirname(fname), dir_plots) + dir_plots = op.join(op.dirname(fname), dir_plots) - base_fname = os.path.basename(fname).strip('.fif') + base_fname = op.basename(fname).strip('.fif') - if not os.path.isdir(dir_plots): + if not op.isdir(dir_plots): mkpath(dir_plots) file_name = fname.split('/')[-1] @@ -62,7 +62,7 @@ def plot_average(filenames, save_plot=True, show_plot=False, dpi=100): factor = 1e15 for fnavg in fname: name = fnavg[0:len(fnavg) - 4] - basename = os.path.splitext(os.path.basename(name))[0] + basename = op.splitext(op.basename(name))[0] print(fnavg) # mne.read_evokeds provides a list or a single evoked based on condition. # here we assume only one evoked is returned (requires further handling) @@ -78,7 +78,7 @@ def plot_average(filenames, save_plot=True, show_plot=False, dpi=100): plt.title(basename) # save figure - fnfig = os.path.splitext(fnavg)[0] + '.png' + fnfig = op.splitext(fnavg)[0] + '.png' plt.savefig(fnfig, dpi=dpi) plt.ion() # switch on (interactive) plot visualisation diff --git a/jumeg/jumeg_suggest_bads.py b/jumeg/jumeg_suggest_bads.py index 23ff3788..7bf16c1e 100644 --- a/jumeg/jumeg_suggest_bads.py +++ b/jumeg/jumeg_suggest_bads.py @@ -160,8 +160,12 @@ def clustered_psd(epochs, sensitivity_psd, picks, min_samples=1, n_jobs = None): zlimit_psd: float A scaling value used for plotting. """ - psds, freqs = mne.time_frequency.psd_welch(epochs, fmin=2., fmax=200., - picks=picks) + + # psds, freqs = mne.time_frequency.psd_welch(epochs, fmin=2., fmax=200., + # picks=picks) + + epo_spectrum = epochs.compute_psd(fmin=2., fmax=200., picks=picks) + psds, freqs = epo_spectrum.get_data(return_freqs=True) psd_percentiles, psd_nearest_neighbour, psd_suspects = [], [], [] for ipsd in psds: diff --git a/jumeg/jumeg_test.py b/jumeg/jumeg_test.py index ad8bb478..b9595a6e 100644 --- a/jumeg/jumeg_test.py +++ b/jumeg/jumeg_test.py @@ -1,15 +1,22 @@ #!/usr/bin/env python +import os +import os.path as op import jumeg -import os.path -raw_fname = "109925_CAU01A_100715_0842_2_c,rfDC-raw.fif" -if not os.path.isfile(raw_fname): - print("Please find the test file at the below location on the meg_store2 network drive - \ - cp /data/meg_store2/fif_data/jumeg_test_data/109925_CAU01A_100715_0842_2_c,rfDC-raw.fif .") +# load the jumeg sample data (has to be BTI) +data_dir = os.environ['JUSAMPLE_MEG_PATH'] +subject = '207184' +raw_fname = op.join(data_dir, 'recordings', subject, + 'sample_207184_rest_EC-raw.fif') + +# raw_fname = "109925_CAU01A_100715_0842_2_c,rfDC-raw.fif" +# if not os.path.isfile(raw_fname): +# print("Please find the test file at the below location on the meg_store2 network drive - \ +# cp /data/meg_store2/fif_data/jumeg_test_data/109925_CAU01A_100715_0842_2_c,rfDC-raw.fif .") # Function to check and explain the file naming standards -#jumeg.jumeg_utils.check_jumeg_standards(raw_fname) +jumeg.jumeg_utils.check_jumeg_standards(raw_fname) # Function to apply noise reducer jumeg.jumeg_noise_reducer.noise_reducer(raw_fname, verbose=True) @@ -24,27 +31,27 @@ # ICA functions #jumeg.jumeg_preprocessing.apply_ica(fclean) -fica_name = fclean[:fclean.rfind('-raw.fif')] + '-ica.fif' +# fica_name = fclean[:fclean.rfind('-raw.fif')] + '-ica.fif' # Perform ECG/EOG rejection using ICA #jumeg.jumeg_preprocessing.apply_ica_cleaning(fica_name) #jumeg.jumeg_preprocessing.apply_ica_cleaning(fica_name, unfiltered=True) # OCARTA cleaning -from jumeg.decompose import ocarta -ocarta_obj = ocarta.JuMEG_ocarta() -ocarta_obj.fit(fclean, unfiltered=False, verbose=True) +# from jumeg.decompose import ocarta +# ocarta_obj = ocarta.JuMEG_ocarta() +# ocarta_obj.fit(fclean, unfiltered=False, verbose=True) # CTPS functions #jumeg.jumeg_preprocessing.apply_ctps(fica_name) -fctps_name = '109925_CAU01A_100715_0842_2_c,rfDC,bp1-45Hz,ctps-trigger.npy' +# fctps_name = '109925_CAU01A_100715_0842_2_c,rfDC,bp1-45Hz,ctps-trigger.npy' #jumeg.jumeg_preprocessing.apply_ctps_select_ic(fctps_name) # Function recompose brain response components only -fname_ctps_ics = '109925_CAU01A_100715_0842_2_c,rfDC,bp1-45Hz,ctps-trigger-ic_selection.txt' +# fname_ctps_ics = '109925_CAU01A_100715_0842_2_c,rfDC,bp1-45Hz,ctps-trigger-ic_selection.txt' #jumeg.jumeg_preprocessing.apply_ica_select_brain_response(fname_ctps_ics) # Function to process empty file -empty_fname = '109925_CAU01A_100715_0844_2_c,rfDC-empty.fif' +# empty_fname = '109925_CAU01A_100715_0844_2_c,rfDC-empty.fif' #jumeg.jumeg_preprocessing.apply_create_noise_covariance(empty_fname, verbose=True) diff --git a/jumeg/jumeg_utils.py b/jumeg/jumeg_utils.py index e4295aa6..a2ddb908 100644 --- a/jumeg/jumeg_utils.py +++ b/jumeg/jumeg_utils.py @@ -38,7 +38,7 @@ def retcode_error(command, subj): def get_jumeg_path(): """Return the path where jumeg is installed.""" - return os.path.abspath(os.path.dirname(__file__)) + return op.abspath(op.dirname(__file__)) def check_jumeg_standards(fnames): @@ -925,7 +925,7 @@ def check_env_variables(env_variable=None, key=None): print('Please set the %s' % (key)) sys.exit() - if not os.path.isdir(env_variable): + if not op.isdir(env_variable): print('Path %s is not a valid directory. Please check.' % (env_variable)) sys.exit() @@ -958,8 +958,8 @@ def convert_annot2labels(annot_fname, subject='fsaverage', subjects_dir=None, from subprocess import call subjects_dir = check_env_variables(subjects_dir, key='SUBJECTS_DIR') freesurfer_home = check_env_variables(freesurfer_home, key='FREESURFER_HOME') - freesurfer_bin = os.path.join(freesurfer_home, 'bin', '') - outdir = os.path.join(subjects_dir, subject, 'label') + freesurfer_bin = op.join(freesurfer_home, 'bin', '') + outdir = op.join(subjects_dir, subject, 'label') print('Convert annotation %s to labels' % (annot_fname)) for hemi in ['lh', 'rh']: retcode = call([freesurfer_bin + '/mri_annotation2label', '--subject', subject, '--hemi', hemi, @@ -1004,7 +1004,7 @@ def convert_label2label(annot_fname, subjects_list, srcsubject='fsaverage', subjects_dir = check_env_variables(subjects_dir, key='SUBJECTS_DIR') freesurfer_home = check_env_variables(freesurfer_home, key='FREESURFER_HOME') - freesurfer_bin = os.path.join(freesurfer_home, 'bin', '') + freesurfer_bin = op.join(freesurfer_home, 'bin', '') # obtain the names of labels in parcellation from mne.label import read_labels_from_annot @@ -1019,8 +1019,8 @@ def convert_label2label(annot_fname, subjects_list, srcsubject='fsaverage', print('Converting labels from %s to %s' % (srcsubject, subj)) for label in lnames: for hemi in ['lh', 'rh']: - srclabel = os.path.join(subjects_dir, srcsubject, 'label', hemi + '.' + label + '.label') - trglabel = os.path.join(subjects_dir, subj, 'label', hemi + '.' + label + '.label') + srclabel = op.join(subjects_dir, srcsubject, 'label', hemi + '.' + label + '.label') + trglabel = op.join(subjects_dir, subj, 'label', hemi + '.' + label + '.label') retcode = call([freesurfer_bin + 'mri_label2label', '--srclabel', srclabel, '--srcsubject', srcsubject, '--trglabel', trglabel, '--trgsubject', subj, '--regmethod', 'surface', '--hemi', hemi]) if retcode != 0: @@ -1220,8 +1220,8 @@ def time_shuffle_slices(fname_raw, shufflechans=None, tmin=None, tmax=None): for isl in range(raw._data.shape[1]): raw._data[:, isl] = data[:, isl] - shflname = os.path.join(os.path.dirname(fname), - os.path.basename(fname).split('-')[0]) + ',tperm-raw.fif' + shflname = op.join(op.dirname(fname), + op.basename(fname).split('-')[0]) + ',tperm-raw.fif' print("Saving '%s'..." % shflname) raw.save(shflname, overwrite=True) return @@ -1453,7 +1453,7 @@ def find_files(rootdir='.', pattern='*', recursive=False): if not recursive: del dirnames[:] for filename in fnmatch.filter(filenames, pattern): - files.append(os.path.join(root, filename)) + files.append(op.join(root, filename)) files = sorted(files) @@ -1472,7 +1472,7 @@ def find_directories(rootdir='.', pattern='*'): # search for directories in rootdir dirlist=[] for filename in os.listdir(rootdir): - if os.path.isdir(path+filename) == True: + if op.isdir(path+filename) == True: dirlist.append(filename) dirlist = sorted(dirlist) diff --git a/jumeg/mft/jumeg_mft_funcs.py b/jumeg/mft/jumeg_mft_funcs.py index 9f6bb7f2..b45fa75a 100644 --- a/jumeg/mft/jumeg_mft_funcs.py +++ b/jumeg/mft/jumeg_mft_funcs.py @@ -331,7 +331,7 @@ def apply_mft(fwdspec, dataspec, evocondition=None, meg='mag', list of stcs in case of iterlist!=None """ twgbl0 = time.time() - tcgbl0 = time.perf_clock() + tcgbl0 = time.perf_counter() # Use mftparm as local copy of mftpar to keep that ro. mftparm = {} @@ -460,7 +460,7 @@ def apply_mft(fwdspec, dataspec, evocondition=None, meg='mag', if cdmlabels is not None: if verbosity >= 1: print("########## Searching for label(s) in source space(s)...") - tc0 = time.perf_clock() + tc0 = time.perf_counter() tw0 = time.time() numcdmlabels = 0 @@ -517,7 +517,7 @@ def apply_mft(fwdspec, dataspec, evocondition=None, meg='mag', warnings.warn('NO vertex found for label \'%s\' in any source space' % label.name) if verbosity >= 1: print("--> sums: %5d verts %4d used" % (labvrtstot, labvrtsusd)) - tc1 = time.perf_clock() + tc1 = time.perf_counter() tw1 = time.time() print("prep. labels took %.3f" % (1000. * (tc1 - tc0)), "ms (%.3f s walltime)" % (tw1 - tw0)) @@ -656,7 +656,7 @@ def apply_mft(fwdspec, dataspec, evocondition=None, meg='mag', if verbosity >= 1: print("########## Calculate initial prob-dist:") tw0 = time.time() - tc0 = time.perf_clock() + tc0 = time.perf_counter() if mftparm['prbfct'] == 'gauss': wtmp = np.zeros(n_loc // 3) for icnt in range(prbcnt.shape[0]): @@ -687,7 +687,7 @@ def apply_mft(fwdspec, dataspec, evocondition=None, meg='mag', if verbosity >= 2 and mftparm['prbfct'] == 'random': wvecnorm = np.sum(np.sqrt(np.sum(np.reshape(wdist3, (wdist3.shape[0] / 3, 3)) ** 2, axis=1))) print("sum(||wvec(i)||) = ", wvecnorm) - tc1 = time.perf_clock() + tc1 = time.perf_counter() tw1 = time.time() if isinstance(mftparm['prblog'], str): wdisttabfile = open(mftparm['prblog'], mode='w') @@ -708,7 +708,7 @@ def apply_mft(fwdspec, dataspec, evocondition=None, meg='mag', if verbosity >= 1: print("########## Calculate P-matrix, incl. weights:") tw0 = time.time() - tc0 = time.perf_clock() + tc0 = time.perf_counter() # Split the leadfield matrix into submatrices for speed # cf. https://www.johndcook.com/blog/2018/08/31/how-fast-can-you-multiply-matrices/ # https://en.wikipedia.org/wiki/Matrix_multiplication_algorithm @@ -726,7 +726,7 @@ def apply_mft(fwdspec, dataspec, evocondition=None, meg='mag', # print "allclose(pmat0,pmat1) = ", np.allclose(pmat0,pmat1) # # Avoiding sqrt is expensive! # # pmat0 = np.einsum('ik, k, jk -> ij', lfmag, wdist3, lfmag) - tc1 = time.perf_clock() + tc1 = time.perf_counter() tw1 = time.time() tptotwall += (tw1 - tw0) tptotcpu += (tc1 - tc0) @@ -889,7 +889,7 @@ def apply_mft(fwdspec, dataspec, evocondition=None, meg='mag', stcdatalist[iil][iloc, islice] = cdvnorms[iloc] tlw0 = time.time() - tlc0 = time.perf_clock() + tlc0 = time.perf_counter() for mftiter in range(mftparm['iter']): # MFT iteration loop: @@ -906,7 +906,7 @@ def apply_mft(fwdspec, dataspec, evocondition=None, meg='mag', # Calculate new P-matrix, incl. weights: tw0 = time.time() - tc0 = time.perf_clock() + tc0 = time.perf_counter() rtwd3 = np.repeat(np.sqrt(pscalefct * wdist), 3) ilastseg = n_loc - n_loc % ibsize lfw = lfmag[:, ilastseg:] * rtwd3[ilastseg:] @@ -917,7 +917,7 @@ def apply_mft(fwdspec, dataspec, evocondition=None, meg='mag', # lfw = lfmag*np.repeat(np.sqrt(pscalefct*wdist),3) # pmat = np.einsum('ik,jk->ij',lfw,lfw) - tc1 = time.perf_clock() + tc1 = time.perf_counter() tw1 = time.time() tptotwall += (tw1 - tw0) tptotcpu += (tc1 - tc0) @@ -951,7 +951,7 @@ def apply_mft(fwdspec, dataspec, evocondition=None, meg='mag', for iloc in range(n_loc // 3): stcdatalist[iil][iloc, islice] = cdvnorms[iloc] - tc1 = time.perf_clock() + tc1 = time.perf_counter() tw1 = time.time() tltotwall += (tw1 - tlw0) tltotcpu += (tc1 - tlc0) @@ -964,7 +964,7 @@ def apply_mft(fwdspec, dataspec, evocondition=None, meg='mag', qualdata['rdmerr'][islice] = rdmerr qualdata['mag'][islice] = mag - tc0 = time.perf_clock() + tc0 = time.perf_counter() tw0 = time.time() if 'cdmall' in qualdata: (qualdata['cdmall'][islice], qualdata['jlgall'][islice]) = scan_cdm_w_cut(cdv, cdmcut) @@ -980,7 +980,7 @@ def apply_mft(fwdspec, dataspec, evocondition=None, meg='mag', scan_cdm_w_cut(cdvecs[labinds[ilab], :], cdmcut) qualdata['jtotlabels'][ilab, islice] = \ calc_jtotal_w_cut(cdvecs[labinds[ilab], :], cdmcut) - tc1 = time.perf_clock() + tc1 = time.perf_counter() tw1 = time.time() tpcdmwall += (tw1 - tw0) tpcdmcpu += (tc1 - tc0) @@ -1023,14 +1023,14 @@ def apply_mft(fwdspec, dataspec, evocondition=None, meg='mag', stc_mftlist = [] for istclist in range(len(stcdatalist)): if len(vertices) == 1: - stc_mft = mne.VolSourceEstimate(stcdatalist[istclist], vertices=fwdmag['src'][0]['vertno'], + stc_mft = mne.VolSourceEstimate(stcdatalist[istclist], vertices=[fwdmag['src'][0]['vertno']], tmin=tmin, tstep=tstep, subject=subject) elif len(vertices) == 2: vertices = [s['vertno'] for s in fwdmag['src']] stc_mft = mne.SourceEstimate(stcdatalist[istclist], vertices=vertices, tmin=tmin, tstep=tstep, subject=subject) else: - vertices = np.concatenate(([s['vertno'] for s in fwdmag['src']])) + vertices = [np.concatenate(([s['vertno'] for s in fwdmag['src']]))] stc_mft = mne.VolSourceEstimate(stcdatalist[istclist], vertices=vertices, tmin=tmin, tstep=tstep, subject=subject) stc_mftlist.append(stc_mft) @@ -1061,11 +1061,15 @@ def apply_mft(fwdspec, dataspec, evocondition=None, meg='mag', stcmft_fname = os.path.join(os.path.dirname(datafile), os.path.basename(datafile).split('-')[0]) + "mft" print("stcmft basefilename: %s" % stcmft_fname) - stc_mft.save(stcmft_fname, verbose=True) + if not os.path.isfile(stcmft_fname + '-lh.stc'): + # check if file exists to avoid overwriting + # best to separate out this part of the code but using this workaround + # to satisfy building docs + stc_mft.save(stcmft_fname, overwrite=False, verbose=True) print("##### done.") twgbl1 = time.time() - tcgbl1 = time.perf_clock() + tcgbl1 = time.perf_counter() if verbosity >= 1: print("calc(lf*w*lf.T) took total %9.2f s CPU-time (%9.2f s walltime)" % (tptotcpu, tptotwall)) print("calc(lf*w*lf.T) took per call %9.2fms CPU-time (%9.2fms walltime)" % \ diff --git a/jumeg/mft/jumeg_mft_plot.py b/jumeg/mft/jumeg_mft_plot.py index 5418a0ee..718ffdb0 100644 --- a/jumeg/mft/jumeg_mft_plot.py +++ b/jumeg/mft/jumeg_mft_plot.py @@ -85,7 +85,8 @@ def plot_visualize_mft_sources(fwdmag, stcdata, tmin, tstep, vertno_max, time_idx = stc_feat.get_peak(hemi=hemi, time_as_index=True, tmin=twmin, tmax=twmax) print("hemi=%s: setting time_idx=%d" % (hemi, time_idx)) - brain.set_data_time_index(time_idx) + # brain.set_data_time_index(time_idx) + brain.set_time_point(time_idx) if hemi == 'lh' or hemi == 'rh': # draw marker at maximum peaking vertex brain.add_foci(vertno_max, coords_as_verts=True, hemi=hemi, color='blue', @@ -175,7 +176,7 @@ def plot_max_amplitude_data(fwdmag, stcdata, tmin, tstep, subject, method='mft') for s in fwdmag['src']: offsets = np.append(offsets, [offsets[-1] + s['nuse']]) for isrc, s in enumerate(fwdmag['src']): - stc = VolSourceEstimate(stcdata[offsets[isrc]:offsets[isrc + 1], :], vertices=s['vertno'], + stc = VolSourceEstimate(stcdata[offsets[isrc]:offsets[isrc + 1], :], vertices=[s['vertno']], tmin=tmin, tstep=tstep, subject=subject) # View activation time-series plt.xlim((1e3 * np.min(stc.times), 1e3 * np.max(stc.times))) diff --git a/setup.py b/setup.py index defe989c..cb4638e1 100644 --- a/setup.py +++ b/setup.py @@ -1,16 +1,16 @@ #!/usr/bin/env python import os -from os import path as op +import os.path as op from setuptools import setup def package_tree(pkgroot): """Get the submodule list.""" # adapted from mne-python - path = os.path.dirname(__file__) - subdirs = [os.path.relpath(i[0], path).replace(os.path.sep, '.') - for i in os.walk(os.path.join(path, pkgroot)) + path = op.dirname(__file__) + subdirs = [op.relpath(i[0], path).replace(op.sep, '.') + for i in os.walk(op.join(path, pkgroot)) if '__init__.py' in i[2]] return sorted(subdirs) From db8d84e34b57d113ee18730344da964af81b3897 Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Fri, 20 Jan 2023 16:33:03 +0100 Subject: [PATCH 05/45] Moved testing related example files to tests directory. --- .gitignore | 6 +- examples/README.txt | 1 + examples/causality/README.txt | 1 + examples/connectivity/README.txt | 1 + examples/decompose/README.txt | 1 + examples/mft/README.txt | 1 + examples/preprocessing/README.txt | 1 + examples/tests/test_causality_arrows.py | 39 ++++++++++ .../test_degree_circle_plotting.py | 0 .../test_plot_circle_lines_and_blobs.py | 0 ...ot_connectivity_circle_include_diagonal.py | 71 +++++++++++++++++++ .../test_plot_degree_circle.py | 0 examples/tests/test_plot_powerspectrum.py | 22 ++++++ examples/tests/test_plot_rank_estimation.py | 33 +++++++++ examples/tests/test_verbose_infomax.py | 28 ++++++++ 15 files changed, 204 insertions(+), 1 deletion(-) create mode 100644 examples/README.txt create mode 100644 examples/causality/README.txt create mode 100644 examples/connectivity/README.txt create mode 100644 examples/decompose/README.txt create mode 100644 examples/mft/README.txt create mode 100644 examples/preprocessing/README.txt create mode 100755 examples/tests/test_causality_arrows.py rename examples/{connectivity => tests}/test_degree_circle_plotting.py (100%) rename examples/{connectivity => tests}/test_plot_circle_lines_and_blobs.py (100%) create mode 100644 examples/tests/test_plot_connectivity_circle_include_diagonal.py rename examples/{connectivity => tests}/test_plot_degree_circle.py (100%) create mode 100755 examples/tests/test_plot_powerspectrum.py create mode 100755 examples/tests/test_plot_rank_estimation.py create mode 100755 examples/tests/test_verbose_infomax.py diff --git a/.gitignore b/.gitignore index d23cbb2e..01ea7732 100644 --- a/.gitignore +++ b/.gitignore @@ -20,7 +20,6 @@ *.old *.dat *.bak -test_*.py # Byte-compiled / optimized / DLL files __pycache__/ @@ -77,5 +76,10 @@ coverage.xml # Sphinx documentation docs/_build/ +docs/generated/ +docs/auto_examples/ +docs/auto_tutorials/ +docs/modules/generated/ +docs/sphinxext/cachedir .DS_Store diff --git a/examples/README.txt b/examples/README.txt new file mode 100644 index 00000000..a23a5228 --- /dev/null +++ b/examples/README.txt @@ -0,0 +1 @@ +Examples showing various jumeg analysis. diff --git a/examples/causality/README.txt b/examples/causality/README.txt new file mode 100644 index 00000000..76ca4320 --- /dev/null +++ b/examples/causality/README.txt @@ -0,0 +1 @@ +Causality analysis. diff --git a/examples/connectivity/README.txt b/examples/connectivity/README.txt new file mode 100644 index 00000000..e6f329dd --- /dev/null +++ b/examples/connectivity/README.txt @@ -0,0 +1 @@ +Connectivity analysis. diff --git a/examples/decompose/README.txt b/examples/decompose/README.txt new file mode 100644 index 00000000..d6fdc17b --- /dev/null +++ b/examples/decompose/README.txt @@ -0,0 +1 @@ +ICA Decomposition diff --git a/examples/mft/README.txt b/examples/mft/README.txt new file mode 100644 index 00000000..a5be165d --- /dev/null +++ b/examples/mft/README.txt @@ -0,0 +1 @@ +MFT diff --git a/examples/preprocessing/README.txt b/examples/preprocessing/README.txt new file mode 100644 index 00000000..64dcad99 --- /dev/null +++ b/examples/preprocessing/README.txt @@ -0,0 +1 @@ +Preprocessing diff --git a/examples/tests/test_causality_arrows.py b/examples/tests/test_causality_arrows.py new file mode 100755 index 00000000..5502e307 --- /dev/null +++ b/examples/tests/test_causality_arrows.py @@ -0,0 +1,39 @@ +#!/usr/bin/env python3 + +""" +============= +Test Causality Arrows Plotting +============= + +Example showing how to plot a causality matrix on a circle plot. +""" + +import numpy as np + +from jumeg import get_jumeg_path +from jumeg.connectivity import plot_grouped_causality_circle +import yaml + +# load the yaml grouping of Freesurfer labels +yaml_fname = get_jumeg_path() + '/data/desikan_aparc_cortex_based_grouping.yaml' +labels_fname = get_jumeg_path() + '/data/desikan_label_names.yaml' +replacer_dict_fname = get_jumeg_path() + '/data/replacer_dictionaries.yaml' + +with open(labels_fname, 'r') as f: + label_names = yaml.safe_load(f)['label_names'] + +with open(replacer_dict_fname, 'r') as f: + replacer_dict = yaml.safe_load(f)['replacer_dict_aparc'] + +# make a random causality matrix +n_nodes = 68 # currently needs to be always this number +caus = np.random.random((n_nodes, n_nodes)) +caus[np.diag_indices_from(caus)] = 0. +caus[caus < 0.7] = 0. + +plot_grouped_causality_circle(caus, yaml_fname, label_names, n_lines=10, + labels_mode='replace', replacer_dict=replacer_dict, + out_fname='causality_circle.png', + colormap='Blues', colorbar=True, + figsize=(6, 6), show=False, + arrowstyle='->,head_length=1,head_width=1') diff --git a/examples/connectivity/test_degree_circle_plotting.py b/examples/tests/test_degree_circle_plotting.py similarity index 100% rename from examples/connectivity/test_degree_circle_plotting.py rename to examples/tests/test_degree_circle_plotting.py diff --git a/examples/connectivity/test_plot_circle_lines_and_blobs.py b/examples/tests/test_plot_circle_lines_and_blobs.py similarity index 100% rename from examples/connectivity/test_plot_circle_lines_and_blobs.py rename to examples/tests/test_plot_circle_lines_and_blobs.py diff --git a/examples/tests/test_plot_connectivity_circle_include_diagonal.py b/examples/tests/test_plot_connectivity_circle_include_diagonal.py new file mode 100644 index 00000000..5dbcc4e9 --- /dev/null +++ b/examples/tests/test_plot_connectivity_circle_include_diagonal.py @@ -0,0 +1,71 @@ +#!/usr/bin/env python + +''' +Example showing how to read grouped aparc labels from yaml file and plot +grouped connectivity circle with these labels. + +Author: Praveen Sripad +''' + +import numpy as np +from jumeg import get_jumeg_path +from jumeg.connectivity.con_viz import plot_connectivity_circle +from jumeg.connectivity.con_utils import group_con_matrix_by_lobe +from jumeg.connectivity import plot_grouped_connectivity_circle + +import yaml + +labels_fname = get_jumeg_path() + '/data/desikan_label_names.yaml' +yaml_fname = get_jumeg_path() + '/data/desikan_aparc_cortex_based_grouping.yaml' +replacer_dict_fname = get_jumeg_path() + '/data/replacer_dictionaries.yaml' +lobes_fname = get_jumeg_path() + '/data/lobes_grouping.yaml' + +with open(labels_fname, 'r') as f: + label_names = yaml.safe_load(f)['label_names'] + +with open(replacer_dict_fname, 'r') as f: + replacer_dict = yaml.safe_load(f)['replacer_dict_aparc'] + +# make a random matrix with 68 nodes +# use simple seed for reproducibility +np.random.seed(42) +con = np.random.random((68, 68)) +con[np.diag_indices(68)] = 0. +con[con < 0.5] = 0. + +# indices = (np.array((1, 2, 3)), np.array((5, 6, 7))) +# plot_grouped_connectivity_circle(yaml_fname, lcon, label_names, +# labels_mode='cortex_only', +# replacer_dict=replacer_dict, +# out_fname='example_grouped_con_circle.png', +# colorbar_pos=(0.1, 0.1), +# n_lines=10, colorbar=True, +# colormap='viridis') + +# lcon = np.random.random((12, 12)) +# lcon = np.round(lcon, 2) +# lcon[np.tril_indices(12, k=-1)] = 0 +# lcon = lcon + lcon.T + + +lcon, full_grouping_labels = group_con_matrix_by_lobe(con, label_names, yaml_fname) + +# lna = ['occipital', 'parietal', 'temporal', 'cingulate', 'insula', 'frontal'] +# label_names = [lab + '-lh' for lab in lna] +# label_names.extend([lab + '-rh' for lab in lna]) + +# plot_connectivity_circle(lcon, label_names, n_lines=20, +# arrow=False, ignore_diagonal=False) + +# plot_connectivity_circle(cau, label_names, vmin=0, vmax=1, colorbar=True, +# title='test', fig=None, subplot=111, interactive=False, +# show=True, arrow=True, arrowstyle='->,head_length=0.7,head_width=0.4', +# ignore_diagonal=False) +# +plot_grouped_connectivity_circle(lobes_fname, lcon, full_grouping_labels, n_lines=25, + title='test', colormap='magma_r', colorbar=True, + colorbar_pos=(-0.25, 0.05), replacer_dict=None, + arrowstyle='->,head_length=0.7,head_width=0.4', + figsize=(9.1, 6), vmin=0.75, ignore_diagonal=False, + node_order_size=12, + show=True) diff --git a/examples/connectivity/test_plot_degree_circle.py b/examples/tests/test_plot_degree_circle.py similarity index 100% rename from examples/connectivity/test_plot_degree_circle.py rename to examples/tests/test_plot_degree_circle.py diff --git a/examples/tests/test_plot_powerspectrum.py b/examples/tests/test_plot_powerspectrum.py new file mode 100755 index 00000000..a6b1ebfa --- /dev/null +++ b/examples/tests/test_plot_powerspectrum.py @@ -0,0 +1,22 @@ +""" +Compute infomax ICA on raw data. +""" + +import os.path as op +import mne +from mne.datasets import sample +from jumeg.jumeg_plot import plot_powerspectrum + +data_path = sample.data_path() + +raw_fname = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw.fif') + +raw = mne.io.Raw(raw_fname, preload=True) +picks = mne.pick_types(raw.info, meg='mag', exclude='bads') +raw.crop(0, 60) # use 60s of data + +psd_fname = plot_powerspectrum(raw_fname, raw=raw, picks=None, dir_plots=None, + tmin=None, tmax=None, fmin=0.0, fmax=450.0, n_fft=4096, + average=True) + +print(psd_fname) diff --git a/examples/tests/test_plot_rank_estimation.py b/examples/tests/test_plot_rank_estimation.py new file mode 100755 index 00000000..1e33135f --- /dev/null +++ b/examples/tests/test_plot_rank_estimation.py @@ -0,0 +1,33 @@ +#!/usr/bin/env python +''' +Example script to estimate the rank of the given data array. +''' + +import os.path as op +import matplotlib.pyplot as plt +import mne +from mne.datasets import sample +from jumeg.jumeg_utils import rank_estimation + +data_path = sample.data_path() +subjects_dir = op.join(data_path, 'subjects') + +raw_fname = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw.fif') +fname_event = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw-eve.fif') + +raw = mne.io.read_raw_fif(raw_fname) +events = mne.read_events(fname_event) + +# add a bad channel +raw.info['bads'] += ['MEG 2443'] + +# pick MEG channels +picks = mne.pick_types(raw.info, meg='mag', eeg=False, stim=False, eog=False, + exclude='bads') + +data = raw.get_data()[picks, :] + +rank_all, rank_median = rank_estimation(data) + +print('Ranks in order: MIBS, BIC, GAP, AIC, MDL, pct95, pct99: ', rank_all) +print('The median of the data is %f' % rank_median) diff --git a/examples/tests/test_verbose_infomax.py b/examples/tests/test_verbose_infomax.py new file mode 100755 index 00000000..8c60fbb3 --- /dev/null +++ b/examples/tests/test_verbose_infomax.py @@ -0,0 +1,28 @@ +""" +Compute infomax ICA on raw data. +""" + +import os.path as op +import mne +from mne.datasets import sample +from jumeg.decompose.ica import infomax + +data_path = sample.data_path() + +fname_raw = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw.fif') + +raw = mne.io.Raw(fname_raw, preload=True) + +# use 60s of data +raw.crop(0, 60) + +picks = mne.pick_types(raw.info, meg=True, exclude='bads') +data = raw.get_data()[:10, :].transpose(1, 0) +print(data.shape) + +umixing_matrix = infomax(data, weights=None, l_rate=None, block=None, w_change=1e-12, + anneal_deg=60., anneal_step=0.9, extended=False, n_subgauss=1, + kurt_size=6000, ext_blocks=1, max_iter=20, + fixed_random_state=37, verbose=True) + +print(umixing_matrix.shape) From e1991f7c179018c9b7e43e2ea1a73a7f11b4b4b2 Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Fri, 20 Jan 2023 16:35:29 +0100 Subject: [PATCH 06/45] Add docs and config for building docs. --- docs/Makefile | 188 ++++++++++++++++++++++++++++ docs/api.rst | 49 ++++++++ docs/conf.py | 327 +++++++++++++++++++++++++++++++++++++++++++++++++ docs/index.rst | 17 +++ docs/make.bat | 35 ++++++ 5 files changed, 616 insertions(+) create mode 100755 docs/Makefile create mode 100755 docs/api.rst create mode 100755 docs/conf.py create mode 100755 docs/index.rst create mode 100755 docs/make.bat diff --git a/docs/Makefile b/docs/Makefile new file mode 100755 index 00000000..d8de81bc --- /dev/null +++ b/docs/Makefile @@ -0,0 +1,188 @@ +# makefile for Sphinx documentation + +# You can set these variables from the command line, and also +# from the environment for the first two. +SPHINXOPTS ?= +SPHINXBUILD ?= sphinx-build +SOURCEDIR = . +BUILDDIR = _build + +GITHUB_PAGES_BRANCH = jumeg_sphinx +OUTPUTDIR = _build/html + +# Put it first so that "make" without argument is like "make help". +# help: +# @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) +# +# .PHONY: help Makefile + +# Catch-all target: route all unknown targets to Sphinx using the new +# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). +%: Makefile + @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) + +# Internal variables. +PAPEROPT_a4 = -D latex_paper_size=a4 +PAPEROPT_letter = -D latex_paper_size=letter +ALLSPHINXOPTS = -d $(BUILDDIR)/doctrees $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) . +# the i18n builder cannot share the environment and doctrees with the others +I18NSPHINXOPTS = $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) . + +.PHONY: help clean html dirhtml singlehtml pickle json htmlhelp qthelp devhelp epub latex latexpdf text man changes linkcheck doctest gettext + +help: + @echo "Please use \`make ' where is one of" + @echo " clean to remove genrated output" + @echo " html to make standalone HTML files" + @echo " notebooks to make the Jupyter notebook-based tutorials" + @echo " dirhtml to make HTML files named index.html in directories" + @echo " singlehtml to make a single large HTML file" + @echo " pickle to make pickle files" + @echo " json to make JSON files" + @echo " htmlhelp to make HTML files and a HTML help project" + @echo " qthelp to make HTML files and a qthelp project" + @echo " devhelp to make HTML files and a Devhelp project" + @echo " epub to make an epub" + @echo " latex to make LaTeX files, you can set PAPER=a4 or PAPER=letter" + @echo " latexpdf to make LaTeX files and run them through pdflatex" + @echo " text to make text files" + @echo " man to make manual pages" + @echo " texinfo to make Texinfo files" + @echo " info to make Texinfo files and run them through makeinfo" + @echo " gettext to make PO message catalogs" + @echo " changes to make an overview of all changed/added/deprecated items" + @echo " linkcheck to check all external links for integrity" + @echo " doctest to run all doctests embedded in the documentation (if enabled)" + +clean: + -rm -rf $(BUILDDIR)/* + -rm -rf auto_examples/* + -rm -rf generated/* + +# tutorials: +# make -C tutorial +# +# introduction: introduction.ipynb +# tools/nb_to_doc.py introduction + +# notebooks: tutorials introduction + +html: + $(SPHINXBUILD) -b html $(ALLSPHINXOPTS) $(BUILDDIR)/html + @echo + @echo "Build finished. The HTML pages are in $(BUILDDIR)/html." + +dirhtml: + $(SPHINXBUILD) -b dirhtml $(ALLSPHINXOPTS) $(BUILDDIR)/dirhtml + @echo + @echo "Build finished. The HTML pages are in $(BUILDDIR)/dirhtml." + +singlehtml: + $(SPHINXBUILD) -b singlehtml $(ALLSPHINXOPTS) $(BUILDDIR)/singlehtml + @echo + @echo "Build finished. The HTML page is in $(BUILDDIR)/singlehtml." + +pickle: + $(SPHINXBUILD) -b pickle $(ALLSPHINXOPTS) $(BUILDDIR)/pickle + @echo + @echo "Build finished; now you can process the pickle files." + +json: + $(SPHINXBUILD) -b json $(ALLSPHINXOPTS) $(BUILDDIR)/json + @echo + @echo "Build finished; now you can process the JSON files." + +htmlhelp: + $(SPHINXBUILD) -b htmlhelp $(ALLSPHINXOPTS) $(BUILDDIR)/htmlhelp + @echo + @echo "Build finished; now you can run HTML Help Workshop with the" \ + ".hhp project file in $(BUILDDIR)/htmlhelp." + +qthelp: + $(SPHINXBUILD) -b qthelp $(ALLSPHINXOPTS) $(BUILDDIR)/qthelp + @echo + @echo "Build finished; now you can run "qcollectiongenerator" with the" \ + ".qhcp project file in $(BUILDDIR)/qthelp, like this:" + @echo "# qcollectiongenerator $(BUILDDIR)/qthelp/lyman.qhcp" + @echo "To view the help file:" + @echo "# assistant -collectionFile $(BUILDDIR)/qthelp/lyman.qhc" + +devhelp: + $(SPHINXBUILD) -b devhelp $(ALLSPHINXOPTS) $(BUILDDIR)/devhelp + @echo + @echo "Build finished." + @echo "To view the help file:" + @echo "# mkdir -p $$HOME/.local/share/devhelp/lyman" + @echo "# ln -s $(BUILDDIR)/devhelp $$HOME/.local/share/devhelp/lyman" + @echo "# devhelp" + +epub: + $(SPHINXBUILD) -b epub $(ALLSPHINXOPTS) $(BUILDDIR)/epub + @echo + @echo "Build finished. The epub file is in $(BUILDDIR)/epub." + +latex: + $(SPHINXBUILD) -b latex $(ALLSPHINXOPTS) $(BUILDDIR)/latex + @echo + @echo "Build finished; the LaTeX files are in $(BUILDDIR)/latex." + @echo "Run \`make' in that directory to run these through (pdf)latex" \ + "(use \`make latexpdf' here to do that automatically)." + +latexpdf: + $(SPHINXBUILD) -b latex $(ALLSPHINXOPTS) $(BUILDDIR)/latex + @echo "Running LaTeX files through pdflatex..." + $(MAKE) -C $(BUILDDIR)/latex all-pdf + @echo "pdflatex finished; the PDF files are in $(BUILDDIR)/latex." + +text: + $(SPHINXBUILD) -b text $(ALLSPHINXOPTS) $(BUILDDIR)/text + @echo + @echo "Build finished. The text files are in $(BUILDDIR)/text." + +man: + $(SPHINXBUILD) -b man $(ALLSPHINXOPTS) $(BUILDDIR)/man + @echo + @echo "Build finished. The manual pages are in $(BUILDDIR)/man." + +texinfo: + $(SPHINXBUILD) -b texinfo $(ALLSPHINXOPTS) $(BUILDDIR)/texinfo + @echo + @echo "Build finished. The Texinfo files are in $(BUILDDIR)/texinfo." + @echo "Run \`make' in that directory to run these through makeinfo" \ + "(use \`make info' here to do that automatically)." + +info: + $(SPHINXBUILD) -b texinfo $(ALLSPHINXOPTS) $(BUILDDIR)/texinfo + @echo "Running Texinfo files through makeinfo..." + make -C $(BUILDDIR)/texinfo info + @echo "makeinfo finished; the Info files are in $(BUILDDIR)/texinfo." + +gettext: + $(SPHINXBUILD) -b gettext $(I18NSPHINXOPTS) $(BUILDDIR)/locale + @echo + @echo "Build finished. The message catalogs are in $(BUILDDIR)/locale." + +changes: + $(SPHINXBUILD) -b changes $(ALLSPHINXOPTS) $(BUILDDIR)/changes + @echo + @echo "The overview file is in $(BUILDDIR)/changes." + +linkcheck: + $(SPHINXBUILD) -b linkcheck $(ALLSPHINXOPTS) $(BUILDDIR)/linkcheck + @echo + @echo "Link check complete; look for any errors in the above output " \ + "or in $(BUILDDIR)/linkcheck/output.txt." + +doctest: + $(SPHINXBUILD) -b doctest $(ALLSPHINXOPTS) $(BUILDDIR)/doctest + @echo "Testing of doctests in the sources finished, look at the " \ + "results in $(BUILDDIR)/doctest/output.txt." + +install: + touch $(BUILDDIR)/.nojekyll + git add $(BUILDDIR)/.nojekyll + rm -rf ./auto_examples ./generated + mv $(OUTPUTDIR)/* ./ + rm -rf ./$(BUILDDIR)/ + git commit -a -m 'Generate jumeg site' ./$(SOURCEDIR) + git push origin $(GITHUB_PAGES_BRANCH) diff --git a/docs/api.rst b/docs/api.rst new file mode 100755 index 00000000..f30fcc83 --- /dev/null +++ b/docs/api.rst @@ -0,0 +1,49 @@ +.. _api_documentation: + +================= +API Documentation +================= + +.. currentmodule:: jumeg + +Connectivity +============ + +Functions + +.. currentmodule:: jumeg.connectivity + +.. autosummary:: + :toctree: generated/ + :nosignatures: + + find_distances_matrix + weighted_con_matrix + get_label_distances + make_annot_from_csv + + sensor_connectivity_3d + plot_grouped_connectivity_circle + plot_generic_grouped_circle + plot_grouped_causality_circle + plot_degree_circle + plot_lines_and_blobs + plot_labelled_group_connectivity_circle + plot_fica_grouped_circle + +.. currentmodule:: jumeg.connectivity.causality + +.. autosummary:: + :toctree: generated/ + :nosignatures: + + dw_whiteness + consistency + do_mvar_evaluation + check_whiteness_and_consistency + check_model_order + prepare_causality_matrix + make_frequency_bands + compute_order_extended + compute_order + compute_causal_outflow_inflow diff --git a/docs/conf.py b/docs/conf.py new file mode 100755 index 00000000..c6c909b7 --- /dev/null +++ b/docs/conf.py @@ -0,0 +1,327 @@ +# -*- coding: utf-8 -*- +# +# This file is execfile()d with the current directory set to its +# containing dir. +# +# Note that not all possible configuration values are present in this +# autogenerated file. +# +# All configuration values have a default; values that are commented out +# serve to show the default. + +import sys +import os +import sphinx_gallery # noqa +import sphinx_bootstrap_theme +from numpydoc import numpydoc, docscrape # noqa + +# If extensions (or modules to document with autodoc) are in another directory, +# add these directories to sys.path here. If the directory is relative to the +# documentation root, use os.path.abspath to make it absolute, like shown here. +#sys.path.insert(0, os.path.abspath('.')) + +# -- General configuration ------------------------------------------------ + +# If your documentation needs a minimal Sphinx version, state it here. +#needs_sphinx = '1.0' + +# Add any Sphinx extension module names here, as strings. They can be +# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom +# ones. +extensions = [ + 'sphinx.ext.autodoc', + 'sphinx.ext.autosummary', + 'sphinx.ext.doctest', + 'sphinx.ext.intersphinx', + 'sphinx.ext.mathjax', + 'sphinx_gallery.gen_gallery', + 'numpydoc', +] + +# generate autosummary even if no references +autosummary_generate = True + +# Add any paths that contain templates here, relative to this directory. +# templates_path = ['_templates'] + +# The suffix(es) of source filenames. +# You can specify multiple suffix as a list of string: +# source_suffix = ['.rst', '.md'] +source_suffix = '.rst' + +# The encoding of source files. +#source_encoding = 'utf-8-sig' + +# The master toctree document. +master_doc = 'index' + +# General information about the project. +project = 'jumeg' +copyright = '2023, JUMEG developers' +author = 'JUMEG developers' + +# The version info for the project you're documenting, acts as replacement for +# |version| and |release|, also used in various other places throughout the +# built documents. +# +# The short X.Y version. +from jumeg import __version__ as version # noqa +# version = u'0.1.dev0' +# The full version, including alpha/beta/rc tags. +release = version +# release = u'0.1.dev0' + +# The language for content autogenerated by Sphinx. Refer to documentation +# for a list of supported languages. +# +# This is also used if you do content translation via gettext catalogs. +# Usually you set "language" from the command line for these cases. +language = 'en' + +# There are two options for replacing |today|: either, you set today to some +# non-false value, then it is used: +#today = '' +# Else, today_fmt is used as the format for a strftime call. +#today_fmt = '%B %d, %Y' + +# List of patterns, relative to source directory, that match files and +# directories to ignore when looking for source files. +exclude_patterns = ['_build', 'build_', 'Thumbs.db', '.DS_Store'] + +# The reST default role (used for this markup: `text`) to use for all +# documents. +#default_role = None + +# If true, '()' will be appended to :func: etc. cross-reference text. +#add_function_parentheses = True + +# If true, the current module name will be prepended to all description +# unit titles (such as .. function::). +#add_module_names = True + +# If true, sectionauthor and moduleauthor directives will be shown in the +# output. They are ignored by default. +#show_authors = False + +# The name of the Pygments (syntax highlighting) style to use. +pygments_style = 'sphinx' + +# A list of ignored prefixes for module index sorting. +#modindex_common_prefix = [] + +# If true, keep warnings as "system message" paragraphs in the built documents. +#keep_warnings = False + +# If true, `todo` and `todoList` produce output, else they produce nothing. +todo_include_todos = False + + +# -- Options for HTML output ---------------------------------------------- + +# The theme to use for HTML and HTML Help pages. See the documentation for +# a list of builtin themes. +html_theme = 'bootstrap' + +# Theme options are theme-specific and customize the look and feel of a theme +# further. For a list of options available for each theme, see the +# documentation. +html_theme_options = { + 'navbar_sidebarrel': False, + 'navbar_links': [ + ("Examples", "auto_examples/index"), + ("API", "api"), + ("GitHub", "https://github.com/jdammers/jumeg", True) + ], + 'bootswatch_theme': "simplex" +} + +# Add any paths that contain custom themes here, relative to this directory. +html_theme_path = sphinx_bootstrap_theme.get_html_theme_path() + +# The name for this set of Sphinx documents. If None, it defaults to +# " v documentation". +#html_title = None + +# A shorter title for the navigation bar. Default is the same as html_title. +#html_short_title = None + +# The name of an image file (relative to this directory) to place at the top +# of the sidebar. +#html_logo = None + +# The name of an image file (within the static path) to use as favicon of the +# docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 +# pixels large. +# html_favicon = 'logo/logo.ico' + +# Add any paths that contain custom static files (such as style sheets) here, +# relative to this directory. They are copied after the builtin static files, +# so a file named "default.css" will overwrite the builtin "default.css". +# html_static_path = ['_static'] + +# Add any extra paths that contain custom files (such as robots.txt or +# .htaccess) here, relative to this directory. These files are copied +# directly to the root of the documentation. +#html_extra_path = [] + +# If not '', a 'Last updated on:' timestamp is inserted at every page bottom, +# using the given strftime format. +#html_last_updated_fmt = '%b %d, %Y' + +# If true, SmartyPants will be used to convert quotes and dashes to +# typographically correct entities. +#html_use_smartypants = True + +# Custom sidebar templates, maps document names to template names. +#html_sidebars = {} + +# Additional templates that should be rendered to pages, maps page names to +# template names. +#html_additional_pages = {} + +# If false, no module index is generated. +#html_domain_indices = True + +# If false, no index is generated. +#html_use_index = True + +# If true, the index is split into individual pages for each letter. +#html_split_index = False + +# If true, links to the reST sources are added to the pages. +html_show_sourcelink = False + +# If true, "Created using Sphinx" is shown in the HTML footer. Default is True. +#html_show_sphinx = True + +# If true, "(C) Copyright ..." is shown in the HTML footer. Default is True. +#html_show_copyright = True + +# If true, an OpenSearch description file will be output, and all pages will +# contain a tag referring to it. The value of this option must be the +# base URL from which the finished HTML is served. +#html_use_opensearch = '' + +# This is the file name suffix for HTML files (e.g. ".xhtml"). +#html_file_suffix = None + +# Language to be used for generating the HTML full-text search index. +# Sphinx supports the following languages: +# 'da', 'de', 'en', 'es', 'fi', 'fr', 'hu', 'it', 'ja' +# 'nl', 'no', 'pt', 'ro', 'ru', 'sv', 'tr' +#html_search_language = 'en' + +# A dictionary with options for the search language support, empty by default. +# Now only 'ja' uses this config value +#html_search_options = {'type': 'default'} + +# The name of a javascript file (relative to the configuration directory) that +# implements a search results scorer. If empty, the default will be used. +#html_search_scorer = 'scorer.js' + +# Output file base name for HTML help builder. +htmlhelp_basename = 'jumegdoc' + +# -- Options for LaTeX output --------------------------------------------- + +latex_elements = { +# The paper size ('letterpaper' or 'a4paper'). +#'papersize': 'letterpaper', + +# The font size ('10pt', '11pt' or '12pt'). +#'pointsize': '10pt', + +# Additional stuff for the LaTeX preamble. +#'preamble': '', + +# Latex figure (float) alignment +#'figure_align': 'htbp', +} + +# Grouping the document tree into LaTeX files. List of tuples +# (source start file, target name, title, +# author, documentclass [howto, manual, or own class]). +latex_documents = [ + (master_doc, 'jumeg.tex', u'JUMEG Documentation', + 'JUMEG Developers', 'manual'), +] + +# The name of an image file (relative to this directory) to place at the top of +# the title page. +#latex_logo = None + +# For "manual" documents, if this is true, then toplevel headings are parts, +# not chapters. +#latex_use_parts = False + +# If true, show page references after internal links. +#latex_show_pagerefs = False + +# If true, show URL addresses after external links. +#latex_show_urls = False + +# Documents to append as an appendix to all manuals. +#latex_appendices = [] + +# If false, no module index is generated. +#latex_domain_indices = True + + +# -- Options for manual page output --------------------------------------- + +# One entry per manual page. List of tuples +# (source start file, name, description, authors, manual section). +man_pages = [ + (master_doc, 'jumeg', u'JUMEG Documentation', + [author], 1) +] + +# If true, show URL addresses after external links. +#man_show_urls = False + +numpydoc_show_class_members = False + +# -- Options for Texinfo output ------------------------------------------- + +# Grouping the document tree into Texinfo files. List of tuples +# (source start file, target name, title, author, +# dir menu entry, description, category) +texinfo_documents = [ + (master_doc, 'jumeg', u'JUMEG Documentation', + author, 'JUMEG', 'MEEG tools used at FZJ.', + 'Miscellaneous'), +] + +# Documents to append as an appendix to all manuals. +#texinfo_appendices = [] + +# If false, no module index is generated. +#texinfo_domain_indices = True + +# How to display URL addresses: 'footnote', 'no', or 'inline'. +#texinfo_show_urls = 'footnote' + +# If true, do not generate a @detailmenu in the "Top" node's menu. +#texinfo_no_detailmenu = False + +# Example configuration for intersphinx: refer to the Python standard library. +intersphinx_mapping = { + 'python': ('https://docs.python.org/{.major}'.format(sys.version_info), None), + 'numpy': ('https://docs.scipy.org/doc/numpy/', None), + 'scipy': ('https://docs.scipy.org/doc/scipy/reference', None), + 'matplotlib': ('https://matplotlib.org/', None), + 'sklearn': ('http://scikit-learn.org/stable', None), + 'pandas': ('https://pandas.pydata.org/pandas-docs/stable/', None), +} + +sphinx_gallery_conf = { + # 'backreferences_dir': 'gen_modules/backreferences', + # 'doc_module': ('jumeg', 'numpy'), + 'examples_dirs': '../examples', + 'gallery_dirs': 'auto_examples', + 'reference_url': { + 'jumeg': None, + }, + # 'filename_pattern': 'plot_', + # 'ignore_pattern': 'test_*.py' +} diff --git a/docs/index.rst b/docs/index.rst new file mode 100755 index 00000000..838653f2 --- /dev/null +++ b/docs/index.rst @@ -0,0 +1,17 @@ +JUMEG +===== + +This is a set of tools used for MEEG processing at FZJ. + +In no way is this a well rounded usable package but more of a starting point for ideas and a landing point for references. + +It is also not well maintained, so use at your own risk. + +Installation +------------ + +The installation procedure is described `here `_. + +.. toctree:: + :maxdepth: 1 + diff --git a/docs/make.bat b/docs/make.bat new file mode 100755 index 00000000..2119f510 --- /dev/null +++ b/docs/make.bat @@ -0,0 +1,35 @@ +@ECHO OFF + +pushd %~dp0 + +REM Command file for Sphinx documentation + +if "%SPHINXBUILD%" == "" ( + set SPHINXBUILD=sphinx-build +) +set SOURCEDIR=. +set BUILDDIR=_build + +if "%1" == "" goto help + +%SPHINXBUILD% >NUL 2>NUL +if errorlevel 9009 ( + echo. + echo.The 'sphinx-build' command was not found. Make sure you have Sphinx + echo.installed, then set the SPHINXBUILD environment variable to point + echo.to the full path of the 'sphinx-build' executable. Alternatively you + echo.may add the Sphinx directory to PATH. + echo. + echo.If you don't have Sphinx installed, grab it from + echo.http://sphinx-doc.org/ + exit /b 1 +) + +%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% +goto end + +:help +%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% + +:end +popd From 75a3840c03e913f86ea1a0d6e90abb392e6d2f8e Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Fri, 20 Jan 2023 16:43:38 +0100 Subject: [PATCH 07/45] Include a makefile and update gitignore. --- .gitignore | 5 ++++ Makefile | 85 ++++++++++++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 90 insertions(+) create mode 100644 Makefile diff --git a/.gitignore b/.gitignore index 01ea7732..e431bc30 100644 --- a/.gitignore +++ b/.gitignore @@ -75,6 +75,8 @@ coverage.xml *.pot # Sphinx documentation +.buildinfo +.doctrees/ docs/_build/ docs/generated/ docs/auto_examples/ @@ -83,3 +85,6 @@ docs/modules/generated/ docs/sphinxext/cachedir .DS_Store +.ipynb_checkpoints/ + +*.label diff --git a/Makefile b/Makefile new file mode 100644 index 00000000..15cab2bc --- /dev/null +++ b/Makefile @@ -0,0 +1,85 @@ +# simple makefile to simplify repetitive build env management tasks under posix +# taken from Makefile for mne-python and adapted for jumeg + +PYTHON ?= python +PYTESTS ?= py.test +CTAGS ?= ctags +CODESPELL_SKIPS ?= "doc/_build,doc/auto_*,*.fif,*.eve,*.gz,*.tgz,*.zip,*.mat,*.stc,*.label,*.w,*.bz2,*.annot,*.sulc,*.log,*.local-copy,*.orig_avg,*.inflated_avg,*.gii,*.pyc,*.doctree,*.pickle,*.inv,*.png,*.edf,*.touch,*.thickness,*.nofix,*.volume,*.defect_borders,*.mgh,lh.*,rh.*,COR-*,FreeSurferColorLUT.txt,*.examples,.xdebug_mris_calc,bad.segments,BadChannels,*.hist,empty_file,*.orig,*.js,*.map,*.ipynb,searchindex.dat,plot_*.rst,*.rst.txt,c_EULA.rst*,*.html,gdf_encodes.txt,*.svg,references.bib,*.css,*.edf,*.bdf,*.vhdr" +CODESPELL_DIRS ?= jumeg/ doc/ examples/ +all: clean inplace test test-doc + +clean-pyc: + find . -name "*.pyc" | xargs rm -f + +clean-so: + find . -name "*.so" | xargs rm -f + find . -name "*.pyd" | xargs rm -f + +clean-build: + rm -rf build dist + +clean-ctags: + rm -f tags + +clean-cache: + find . -name "__pycache__" | xargs rm -rf + +clean: clean-build clean-pyc clean-so clean-ctags clean-cache + +in: inplace # just a shortcut +inplace: + $(PYTHON) setup.py build_ext -i + +wheel: + $(PYTHON) setup.py sdist bdist_wheel + +wheel_quiet: + $(PYTHON) setup.py -q sdist bdist_wheel + +pytest: test + +test: in + rm -f .coverage + $(PYTESTS) -m 'not ultraslowtest' jumeg + +test-verbose: in + rm -f .coverage + $(PYTESTS) -m 'not ultraslowtest' jumeg --verbose + +test-fast: in + rm -f .coverage + $(PYTESTS) -m 'not slowtest' jumeg + +test-full: in + rm -f .coverage + $(PYTESTS) jumeg + +flake: + @if command -v flake8 > /dev/null; then \ + echo "Running flake8"; \ + flake8 --count; \ + else \ + echo "flake8 not found, please install it!"; \ + exit 1; \ + fi; + @echo "flake8 passed" + +codespell: # running manually + @codespell --builtin clear,rare,informal,names,usage -w -i 3 -q 3 -S $(CODESPELL_SKIPS) --ignore-words=ignore_words.txt --uri-ignore-words-list=bu $(CODESPELL_DIRS) + +codespell-error: # running on travis + @codespell --builtin clear,rare,informal,names,usage -i 0 -q 7 -S $(CODESPELL_SKIPS) --ignore-words=ignore_words.txt --uri-ignore-words-list=bu $(CODESPELL_DIRS) + +pydocstyle: + @echo "Running pydocstyle" + @pydocstyle jumeg + +pep: + @$(MAKE) -k flake pydocstyle docstring codespell-error check-manifest nesting check-readme + +build-doc: + cd docs; make clean + # cd docs; DISPLAY=:1.0 xvfb-run -n 1 -s "-screen 0 1280x1024x24 -noreset -ac +extension GLX +render" make html + cd docs; make html + +docstyle: pydocstyle From 7aec0c53e5058d1d9c4aa80621dda2d120a2fcf7 Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Fri, 20 Jan 2023 18:21:21 +0100 Subject: [PATCH 08/45] Create an updated minimal environment file. --- jumeg.yml | 40 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 40 insertions(+) create mode 100644 jumeg.yml diff --git a/jumeg.yml b/jumeg.yml new file mode 100644 index 00000000..2dd33bb9 --- /dev/null +++ b/jumeg.yml @@ -0,0 +1,40 @@ +name: jumeg +channels: + - conda-forge + - defaults +dependencies: + - python=3.9 + - pip + - ipython + - jupyter + - matplotlib + - mayavi + - mkdocs + - mkdocs-material + - mne + - mne-connectivity + - mne-features + - networkx + - nibabel + - nilearn + - numpydoc + - pandas + - pandoc + - pyvista + - pyyaml + - scikit-image + - scikit-learn + - scipy + - seaborn + - yaml + - sphinx + - pip: + - sphinx-gallery + - sphinx-bootstrap-theme + - jupyter-book + - pytest + - pytest-cov + - python-louvain + - pysurfer + - git+https://github.com/aestrivex/bctpy + From 0a17831138ee8574ff9187a69d8053489cf7ec8e Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Thu, 4 May 2023 17:49:26 +0200 Subject: [PATCH 09/45] Create build_docs.yml Automatic docs for jumeg. --- .github/workflows/build_docs.yml | 40 ++++++++++++++++++++++++++++++++ 1 file changed, 40 insertions(+) create mode 100644 .github/workflows/build_docs.yml diff --git a/.github/workflows/build_docs.yml b/.github/workflows/build_docs.yml new file mode 100644 index 00000000..64e62ec0 --- /dev/null +++ b/.github/workflows/build_docs.yml @@ -0,0 +1,40 @@ +# This is a basic workflow to help you get started with Actions + +name: "Builds docs" + +# Controls when the workflow will run +on: + # Triggers the workflow on push or pull request events but only for the "main_dev" branch + push: + branches: [ "main_dev" ] + pull_request: + branches: [ "main_dev" ] + + # Allows you to run this workflow manually from the Actions tab + workflow_dispatch: + +# A workflow run is made up of one or more jobs that can run sequentially or in parallel +jobs: + # This workflow contains a single job called "build" + docs: + # The type of runner that the job will run on + runs-on: ubuntu-latest + + # Steps represent a sequence of tasks that will be executed as part of the job + steps: + # Checks-out your repository under $GITHUB_WORKSPACE, so your job can access it + - uses: actions/checkout@v3 + - uses: ammaraskar/sphinx-action@master + + # Runs a single command using the runners shell + - name: Run a one-line script + run: echo Hello, world! + + # Runs a set of commands using the runners shell + - name: Run a multi-line script + run: | + echo Add other actions to build, + echo test, and deploy your project. + + with: + docs-folder: "docs/" From 8cf5f4645b62167086faa2b25594565ca38bc1cd Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Tue, 2 May 2023 20:22:38 +0200 Subject: [PATCH 10/45] Update connectivity package imports. --- examples/tests/test_degree_circle_plotting.py | 11 ++++------- examples/tests/test_plot_circle_lines_and_blobs.py | 6 ++++-- examples/tests/test_plot_degree_circle.py | 9 ++++++--- examples/tests/test_plot_powerspectrum.py | 2 +- 4 files changed, 15 insertions(+), 13 deletions(-) diff --git a/examples/tests/test_degree_circle_plotting.py b/examples/tests/test_degree_circle_plotting.py index 6a9a93c2..fcbf37dd 100644 --- a/examples/tests/test_degree_circle_plotting.py +++ b/examples/tests/test_degree_circle_plotting.py @@ -6,13 +6,10 @@ ''' import numpy as np -import os.path as op -import mne +from mne_connectivity import degree from jumeg import get_jumeg_path -from jumeg.connectivity import plot_degree_circle, plot_lines_and_blobs - -import matplotlib.pyplot as plt +from jumeg.connectivity import plot_lines_and_blobs orig_labels_fname = get_jumeg_path() + '/data/desikan_label_names.yaml' yaml_fname = get_jumeg_path() + '/data/desikan_aparc_cortex_based_grouping.yaml' @@ -21,14 +18,14 @@ # real connectivity con = np.load(con_fname) con = con[0, :, :, 2] + con[0, :, :, 2].T -degrees = mne.connectivity.degree(con, threshold=0.2) +degrees = degree(con, threshold_prop=0.2) # test known connections # con = np.zeros((68, 68)) # con[55, 47] = 0.9 # rostralmiddlefrontal-rh - posteriorcingulate-rh # con[46, 22] = 0.6 # lateraloccipital-lh - posteriorcingulate-lh # con = con + con.T -# degrees = mne.connectivity.degree(con, threshold=0.2) +# degrees = degree(con, threshold_prop=0.2) fig, ax = plot_lines_and_blobs(con, degrees, yaml_fname, orig_labels_fname, figsize=(8, 8), node_labels=True) diff --git a/examples/tests/test_plot_circle_lines_and_blobs.py b/examples/tests/test_plot_circle_lines_and_blobs.py index 1b5e8c0b..11ddc178 100644 --- a/examples/tests/test_plot_circle_lines_and_blobs.py +++ b/examples/tests/test_plot_circle_lines_and_blobs.py @@ -7,6 +7,8 @@ import os.path as op import mne +from mne_connectivity import degree + from jumeg import get_jumeg_path from jumeg.connectivity import plot_degree_circle, plot_lines_and_blobs @@ -19,7 +21,7 @@ # real connectivity con = np.load(con_fname) con = con[0, :, :, 2] + con[0, :, :, 2].T -degrees = mne.connectivity.degree(con, threshold=0.2) +degrees = degree(con, threshold_prop=0.2) import bct eigenvec_centrality = bct.eigenvector_centrality_und(con) @@ -37,7 +39,7 @@ # con[55, 47] = 0.9 # rostralmiddlefrontal-rh - posteriorcingulate-rh # con[46, 22] = 0.6 # lateraloccipital-lh - posteriorcingulate-lh # con = con + con.T -# degrees = mne.connectivity.degree(con, threshold=0.2) +# degrees = degree(con, threshold_prop=0.2) # fig, ax = plot_lines_and_blobs(con, degrees, yaml_fname, orig_labels_fname, # figsize=(8, 8), node_labels=True, # out_fname=None) diff --git a/examples/tests/test_plot_degree_circle.py b/examples/tests/test_plot_degree_circle.py index e6761814..35b3a26e 100644 --- a/examples/tests/test_plot_degree_circle.py +++ b/examples/tests/test_plot_degree_circle.py @@ -8,6 +8,9 @@ import matplotlib.pyplot as plt import mne + +from mne_connectivity import degree + from jumeg import get_jumeg_path from jumeg.connectivity import plot_degree_circle @@ -27,14 +30,14 @@ # con[55, 47] = 0.9 # rostralmiddlefrontal-rh - posteriorcingulate-rh # con[46, 22] = 0.6 # lateraloccipital-lh - posteriorcingulate-lh # con_ = con + con.T -# degrees = mne.connectivity.degree(con_, threshold=0.2) +# degrees = degree(con_, threshold=0.2) # make a random matrix with 68 nodes # use simple seed for reproducibility # np.random.seed(42) # con = np.random.random((68, 68)) # con[con < 0.6] = 0. -degrees = mne.connectivity.degree(con_, threshold=0.2) +degrees = degree(con_, threshold_prop=0.2) n_per = 0.2 n_nodes = 68 @@ -52,7 +55,7 @@ # fig = plt.figure(i, figsize=(18, 4)) # for j in range(7): # con_ = con[i, :, :, j] -# degrees = mne.connectivity.degree(con_ + con_.T, threshold=0.2) +# degrees = degree(con_ + con_.T, threshold_prop=0.2) # print(degrees.std()) # fig, ax = plot_degree_circle(degrees, yaml_fname, orig_labels_fname, # radsize=4, degsize=3, tight_layout=True, diff --git a/examples/tests/test_plot_powerspectrum.py b/examples/tests/test_plot_powerspectrum.py index a6b1ebfa..bf6b59bd 100755 --- a/examples/tests/test_plot_powerspectrum.py +++ b/examples/tests/test_plot_powerspectrum.py @@ -16,7 +16,7 @@ raw.crop(0, 60) # use 60s of data psd_fname = plot_powerspectrum(raw_fname, raw=raw, picks=None, dir_plots=None, - tmin=None, tmax=None, fmin=0.0, fmax=450.0, n_fft=4096, + tmin=None, tmax=None, fmin=0.0, fmax=None, n_fft=4096, average=True) print(psd_fname) From 3b7d2042982606a2020dfd0222f4d419855982e9 Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Tue, 2 May 2023 20:33:35 +0200 Subject: [PATCH 11/45] Remove unwanted targets in the makefile. --- Makefile | 24 ------------------------ 1 file changed, 24 deletions(-) diff --git a/Makefile b/Makefile index 15cab2bc..f41108d2 100644 --- a/Makefile +++ b/Makefile @@ -54,32 +54,8 @@ test-full: in rm -f .coverage $(PYTESTS) jumeg -flake: - @if command -v flake8 > /dev/null; then \ - echo "Running flake8"; \ - flake8 --count; \ - else \ - echo "flake8 not found, please install it!"; \ - exit 1; \ - fi; - @echo "flake8 passed" - -codespell: # running manually - @codespell --builtin clear,rare,informal,names,usage -w -i 3 -q 3 -S $(CODESPELL_SKIPS) --ignore-words=ignore_words.txt --uri-ignore-words-list=bu $(CODESPELL_DIRS) - -codespell-error: # running on travis - @codespell --builtin clear,rare,informal,names,usage -i 0 -q 7 -S $(CODESPELL_SKIPS) --ignore-words=ignore_words.txt --uri-ignore-words-list=bu $(CODESPELL_DIRS) - -pydocstyle: - @echo "Running pydocstyle" - @pydocstyle jumeg - -pep: - @$(MAKE) -k flake pydocstyle docstring codespell-error check-manifest nesting check-readme - build-doc: cd docs; make clean # cd docs; DISPLAY=:1.0 xvfb-run -n 1 -s "-screen 0 1280x1024x24 -noreset -ac +extension GLX +render" make html cd docs; make html -docstyle: pydocstyle From a91d91b0a472abc944f3a807f6745338f753f1dc Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Thu, 4 May 2023 17:50:22 +0200 Subject: [PATCH 12/45] Testing build docs workflow. --- docs/requirements.txt | 2 ++ jumeg.yml | 1 - requirements_dev.txt | 16 ++++++++++++++++ requirements_testing.txt | 13 +++++++++++++ 4 files changed, 31 insertions(+), 1 deletion(-) create mode 100644 docs/requirements.txt create mode 100644 requirements_dev.txt create mode 100644 requirements_testing.txt diff --git a/docs/requirements.txt b/docs/requirements.txt new file mode 100644 index 00000000..66a6d9be --- /dev/null +++ b/docs/requirements.txt @@ -0,0 +1,2 @@ +sphinx-gallery +sphinx-bootstrap-theme diff --git a/jumeg.yml b/jumeg.yml index 2dd33bb9..3f85a31f 100644 --- a/jumeg.yml +++ b/jumeg.yml @@ -1,7 +1,6 @@ name: jumeg channels: - conda-forge - - defaults dependencies: - python=3.9 - pip diff --git a/requirements_dev.txt b/requirements_dev.txt new file mode 100644 index 00000000..c428c07d --- /dev/null +++ b/requirements_dev.txt @@ -0,0 +1,16 @@ +jupyter +jupyter-book +mayavi +surfer +mne +mne-connectivity +mne-features +networkx +nibabel +nilearn +pandas +python-louvain +scipy +sphinx +sphinx-bootstrap-theme +sphinx-gallery diff --git a/requirements_testing.txt b/requirements_testing.txt new file mode 100644 index 00000000..3344f4b4 --- /dev/null +++ b/requirements_testing.txt @@ -0,0 +1,13 @@ +# requirements for running tests (on top of environment.yml/requirements.txt) +pytest +pytest-cov +pytest-timeout +pytest-harvest +flake8 +flake8-array-spacing +numpydoc +codespell +pydocstyle +check-manifest +twine +wheel From bba9d7d34813a49d1391c9f7a69d44d3488679d8 Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Thu, 4 May 2023 18:03:33 +0200 Subject: [PATCH 13/45] Update workflow to fix typo. --- .github/workflows/build_docs.yml | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/.github/workflows/build_docs.yml b/.github/workflows/build_docs.yml index 64e62ec0..1fdc3eb2 100644 --- a/.github/workflows/build_docs.yml +++ b/.github/workflows/build_docs.yml @@ -25,6 +25,8 @@ jobs: # Checks-out your repository under $GITHUB_WORKSPACE, so your job can access it - uses: actions/checkout@v3 - uses: ammaraskar/sphinx-action@master + with: + docs-folder: "docs/" # Runs a single command using the runners shell - name: Run a one-line script @@ -35,6 +37,3 @@ jobs: run: | echo Add other actions to build, echo test, and deploy your project. - - with: - docs-folder: "docs/" From 36a36de3b58fffc0b2cef86920925f4ae9ed2c07 Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Thu, 4 May 2023 20:25:15 +0200 Subject: [PATCH 14/45] Add missing numpydoc package. --- docs/requirements.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/docs/requirements.txt b/docs/requirements.txt index 66a6d9be..f982cdf6 100644 --- a/docs/requirements.txt +++ b/docs/requirements.txt @@ -1,2 +1,3 @@ sphinx-gallery sphinx-bootstrap-theme +numpydoc From aa02636888657e09ce816b14f9a9367b5b49185f Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Thu, 4 May 2023 23:40:08 +0200 Subject: [PATCH 15/45] Include jumeg install within workflow --- .github/workflows/build_docs.yml | 2 ++ 1 file changed, 2 insertions(+) diff --git a/.github/workflows/build_docs.yml b/.github/workflows/build_docs.yml index 1fdc3eb2..10a3b9f3 100644 --- a/.github/workflows/build_docs.yml +++ b/.github/workflows/build_docs.yml @@ -24,6 +24,8 @@ jobs: steps: # Checks-out your repository under $GITHUB_WORKSPACE, so your job can access it - uses: actions/checkout@v3 + - name: "install jumeg" + run: pip install -e jumeg - uses: ammaraskar/sphinx-action@master with: docs-folder: "docs/" From 1aeac39c1232f60ec64153190af00f1f97f7c0c5 Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Thu, 4 May 2023 23:45:36 +0200 Subject: [PATCH 16/45] Update workflow 2. --- .github/workflows/build_docs.yml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/.github/workflows/build_docs.yml b/.github/workflows/build_docs.yml index 10a3b9f3..380167d9 100644 --- a/.github/workflows/build_docs.yml +++ b/.github/workflows/build_docs.yml @@ -25,7 +25,8 @@ jobs: # Checks-out your repository under $GITHUB_WORKSPACE, so your job can access it - uses: actions/checkout@v3 - name: "install jumeg" - run: pip install -e jumeg + working-directory: $GITHUB_WORKSPACE + run: pip install -e . - uses: ammaraskar/sphinx-action@master with: docs-folder: "docs/" From 3ab2780a6bb85ed58d3623ecc70813b0be463b26 Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Thu, 4 May 2023 23:47:06 +0200 Subject: [PATCH 17/45] Update fix 3. --- .github/workflows/build_docs.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/build_docs.yml b/.github/workflows/build_docs.yml index 380167d9..b4370efc 100644 --- a/.github/workflows/build_docs.yml +++ b/.github/workflows/build_docs.yml @@ -25,7 +25,7 @@ jobs: # Checks-out your repository under $GITHUB_WORKSPACE, so your job can access it - uses: actions/checkout@v3 - name: "install jumeg" - working-directory: $GITHUB_WORKSPACE + working-directory: ${GITHUB_WORKSPACE} run: pip install -e . - uses: ammaraskar/sphinx-action@master with: From 3820620685b5746dbf4cc8284da9f56ba3b58267 Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Fri, 5 May 2023 07:03:21 +0200 Subject: [PATCH 18/45] Update workflow 4. --- .github/workflows/build_docs.yml | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/.github/workflows/build_docs.yml b/.github/workflows/build_docs.yml index b4370efc..33a1ac4e 100644 --- a/.github/workflows/build_docs.yml +++ b/.github/workflows/build_docs.yml @@ -25,8 +25,10 @@ jobs: # Checks-out your repository under $GITHUB_WORKSPACE, so your job can access it - uses: actions/checkout@v3 - name: "install jumeg" - working-directory: ${GITHUB_WORKSPACE} - run: pip install -e . + working-directory: ${{ env.GITHUB_WORKSPACE }} + run: | + echo ${{ env.GITHUB_WORKSPACE }} + pip install -e . - uses: ammaraskar/sphinx-action@master with: docs-folder: "docs/" From bec0d6cc8d7d3a1e77146af3e0796e4f0417ca52 Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Fri, 5 May 2023 07:11:57 +0200 Subject: [PATCH 19/45] Update workflows 5. --- .github/workflows/build_docs.yml | 2 ++ 1 file changed, 2 insertions(+) diff --git a/.github/workflows/build_docs.yml b/.github/workflows/build_docs.yml index 33a1ac4e..a15e35aa 100644 --- a/.github/workflows/build_docs.yml +++ b/.github/workflows/build_docs.yml @@ -29,6 +29,8 @@ jobs: run: | echo ${{ env.GITHUB_WORKSPACE }} pip install -e . + which jumeg + python -c "import jumeg; print(jumeg.__path__)" - uses: ammaraskar/sphinx-action@master with: docs-folder: "docs/" From 62fca9158723388691bd02bafa7836238b9d6b5f Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Fri, 5 May 2023 07:44:39 +0200 Subject: [PATCH 20/45] Update workflows 6. --- .github/workflows/build_docs.yml | 5 +---- docs/requirements.txt => requirements_docs.txt | 0 2 files changed, 1 insertion(+), 4 deletions(-) rename docs/requirements.txt => requirements_docs.txt (100%) diff --git a/.github/workflows/build_docs.yml b/.github/workflows/build_docs.yml index a15e35aa..8e68fd06 100644 --- a/.github/workflows/build_docs.yml +++ b/.github/workflows/build_docs.yml @@ -13,9 +13,7 @@ on: # Allows you to run this workflow manually from the Actions tab workflow_dispatch: -# A workflow run is made up of one or more jobs that can run sequentially or in parallel jobs: - # This workflow contains a single job called "build" docs: # The type of runner that the job will run on runs-on: ubuntu-latest @@ -28,9 +26,8 @@ jobs: working-directory: ${{ env.GITHUB_WORKSPACE }} run: | echo ${{ env.GITHUB_WORKSPACE }} + pip install -r requirements_docs.txt pip install -e . - which jumeg - python -c "import jumeg; print(jumeg.__path__)" - uses: ammaraskar/sphinx-action@master with: docs-folder: "docs/" diff --git a/docs/requirements.txt b/requirements_docs.txt similarity index 100% rename from docs/requirements.txt rename to requirements_docs.txt From c0693a34be96267eb27913603ce48b7087703785 Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Fri, 5 May 2023 07:50:56 +0200 Subject: [PATCH 21/45] Update workflows 7. --- .github/workflows/build_docs.yml | 7 +------ 1 file changed, 1 insertion(+), 6 deletions(-) diff --git a/.github/workflows/build_docs.yml b/.github/workflows/build_docs.yml index 8e68fd06..e879e2cb 100644 --- a/.github/workflows/build_docs.yml +++ b/.github/workflows/build_docs.yml @@ -22,15 +22,10 @@ jobs: steps: # Checks-out your repository under $GITHUB_WORKSPACE, so your job can access it - uses: actions/checkout@v3 - - name: "install jumeg" - working-directory: ${{ env.GITHUB_WORKSPACE }} - run: | - echo ${{ env.GITHUB_WORKSPACE }} - pip install -r requirements_docs.txt - pip install -e . - uses: ammaraskar/sphinx-action@master with: docs-folder: "docs/" + pre-build-command: "pip install -r ${{ env.GITHUB_WORKSPACE }}/requirements_docs.txt & pip install -e ${{ env.GITHUB_WORKSPACE }}" # Runs a single command using the runners shell - name: Run a one-line script From bf345cb03093194d34ad38cf4eae4ce8ab146496 Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Fri, 5 May 2023 07:53:02 +0200 Subject: [PATCH 22/45] Update workflows 8. --- .github/workflows/build_docs.yml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/.github/workflows/build_docs.yml b/.github/workflows/build_docs.yml index e879e2cb..47d3117b 100644 --- a/.github/workflows/build_docs.yml +++ b/.github/workflows/build_docs.yml @@ -24,8 +24,9 @@ jobs: - uses: actions/checkout@v3 - uses: ammaraskar/sphinx-action@master with: + working-directory: ${{ env.GITHUB_WORKSPACE }} docs-folder: "docs/" - pre-build-command: "pip install -r ${{ env.GITHUB_WORKSPACE }}/requirements_docs.txt & pip install -e ${{ env.GITHUB_WORKSPACE }}" + pre-build-command: "pip install -r requirements_docs.txt && pip install -e ." # Runs a single command using the runners shell - name: Run a one-line script From c3c1fdf74f2b1e55db9068c09410d2b70aacf72a Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Fri, 5 May 2023 07:56:33 +0200 Subject: [PATCH 23/45] Update workflows 9. --- requirements_docs.txt | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/requirements_docs.txt b/requirements_docs.txt index f982cdf6..b25b1e57 100644 --- a/requirements_docs.txt +++ b/requirements_docs.txt @@ -1,3 +1,14 @@ +mayavi +surfer +mne +mne-connectivity +mne-features +networkx +nibabel +nilearn +pandas +python-louvain +scipy sphinx-gallery sphinx-bootstrap-theme numpydoc From d0dc37558e6f02f89a35a8d4937947a9d7adb952 Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Fri, 5 May 2023 10:21:34 +0200 Subject: [PATCH 24/45] Update workflows 10. --- .github/workflows/build_docs.yml | 26 +++++++++++++++----------- 1 file changed, 15 insertions(+), 11 deletions(-) diff --git a/.github/workflows/build_docs.yml b/.github/workflows/build_docs.yml index 47d3117b..8b0f4a57 100644 --- a/.github/workflows/build_docs.yml +++ b/.github/workflows/build_docs.yml @@ -20,20 +20,24 @@ jobs: # Steps represent a sequence of tasks that will be executed as part of the job steps: + # Checks-out your repository under $GITHUB_WORKSPACE, so your job can access it - uses: actions/checkout@v3 - - uses: ammaraskar/sphinx-action@master + + - name: Set up Python 3.9 + uses: actions/setup-python@v2 + with: + python-version: 3.9 + + - name: Install jumeg conda env + run: | + # $CONDA is an environment variable pointing to the root of the miniconda directory + $CONDA/bin/conda env update --file jumeg.yml --name base + + - name: Build sphinx docs + uses: ammaraskar/sphinx-action@master with: working-directory: ${{ env.GITHUB_WORKSPACE }} docs-folder: "docs/" - pre-build-command: "pip install -r requirements_docs.txt && pip install -e ." + # pre-build-command: "pip install -r requirements_docs.txt && pip install -e ." - # Runs a single command using the runners shell - - name: Run a one-line script - run: echo Hello, world! - - # Runs a set of commands using the runners shell - - name: Run a multi-line script - run: | - echo Add other actions to build, - echo test, and deploy your project. From b2ca6785ccd0c72b96187214e9361c7b2026c219 Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Fri, 5 May 2023 10:52:40 +0200 Subject: [PATCH 25/45] Update workflows 11. --- .github/workflows/build_docs.yml | 12 +----------- requirements_docs.txt | 8 ++++---- 2 files changed, 5 insertions(+), 15 deletions(-) diff --git a/.github/workflows/build_docs.yml b/.github/workflows/build_docs.yml index 8b0f4a57..dca6c743 100644 --- a/.github/workflows/build_docs.yml +++ b/.github/workflows/build_docs.yml @@ -24,20 +24,10 @@ jobs: # Checks-out your repository under $GITHUB_WORKSPACE, so your job can access it - uses: actions/checkout@v3 - - name: Set up Python 3.9 - uses: actions/setup-python@v2 - with: - python-version: 3.9 - - - name: Install jumeg conda env - run: | - # $CONDA is an environment variable pointing to the root of the miniconda directory - $CONDA/bin/conda env update --file jumeg.yml --name base - - name: Build sphinx docs uses: ammaraskar/sphinx-action@master with: working-directory: ${{ env.GITHUB_WORKSPACE }} docs-folder: "docs/" - # pre-build-command: "pip install -r requirements_docs.txt && pip install -e ." + pre-build-command: "pip install -r requirements_docs.txt && pip install -e ." diff --git a/requirements_docs.txt b/requirements_docs.txt index b25b1e57..da6fddf8 100644 --- a/requirements_docs.txt +++ b/requirements_docs.txt @@ -1,14 +1,14 @@ -mayavi -surfer mne mne-connectivity mne-features networkx nibabel nilearn -pandas python-louvain -scipy +bctpy +mayavi +surfer +pyyaml sphinx-gallery sphinx-bootstrap-theme numpydoc From c95cfa3324454463e802f993db96ad30a97e84ab Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Fri, 5 May 2023 12:17:49 +0200 Subject: [PATCH 26/45] Fix issues blocking sphinx build. --- examples/causality/do_granger_causality.py | 0 examples/causality/plot_causality_circle.py | 0 .../plot_inter_and_intra_lobe_causality.py | 11 +++++++++-- examples/connectivity/plot_annot_standard_rsns.py | 2 +- .../connectivity/plot_simulated_connectivity.py | 14 +++++++------- examples/preprocessing/plot_noise_reducer.py | 7 ++++++- jumeg/connectivity/con_viz.py | 6 +++--- jumeg/decompose/dimension_selection.py | 4 ++-- requirements_docs.txt | 7 ++++--- 9 files changed, 32 insertions(+), 19 deletions(-) mode change 100755 => 100644 examples/causality/do_granger_causality.py mode change 100755 => 100644 examples/causality/plot_causality_circle.py diff --git a/examples/causality/do_granger_causality.py b/examples/causality/do_granger_causality.py old mode 100755 new mode 100644 diff --git a/examples/causality/plot_causality_circle.py b/examples/causality/plot_causality_circle.py old mode 100755 new mode 100644 diff --git a/examples/causality/plot_inter_and_intra_lobe_causality.py b/examples/causality/plot_inter_and_intra_lobe_causality.py index dccd8f14..74e3a11e 100644 --- a/examples/causality/plot_inter_and_intra_lobe_causality.py +++ b/examples/causality/plot_inter_and_intra_lobe_causality.py @@ -12,9 +12,15 @@ import os import os.path as op +import numpy as np import matplotlib.pyplot as plt import mne -import numpy as np + +from mne.datasets import sample + +print(__doc__) + +data_path = sample.data_path() from jumeg.connectivity.con_utils import group_con_matrix_by_lobe from jumeg.connectivity.con_viz import plot_grouped_causality_circle @@ -33,7 +39,8 @@ # Load anatomical labels ############################################################################### -subjects_dir = os.environ['SUBJECTS_DIR'] +subjects_dir = op.join(data_path, 'subjects') +os.environ['SUBJECTS_DIR'] = subjects_dir full_labels = mne.read_labels_from_annot(subject='fsaverage', parc='aparc', hemi='both', subjects_dir=subjects_dir) diff --git a/examples/connectivity/plot_annot_standard_rsns.py b/examples/connectivity/plot_annot_standard_rsns.py index aa97e825..db4feb84 100644 --- a/examples/connectivity/plot_annot_standard_rsns.py +++ b/examples/connectivity/plot_annot_standard_rsns.py @@ -29,7 +29,7 @@ from jumeg.connectivity import make_annot_from_csv from nilearn import plotting -from surfer import Brain +from mne.viz import Brain data_path = sample.data_path() subject = 'sample' diff --git a/examples/connectivity/plot_simulated_connectivity.py b/examples/connectivity/plot_simulated_connectivity.py index 6d2ba353..42bb2335 100644 --- a/examples/connectivity/plot_simulated_connectivity.py +++ b/examples/connectivity/plot_simulated_connectivity.py @@ -42,9 +42,9 @@ def compute_mean_psd_csd(x, y, n_epochs, nfft, sfreq): x2 = np.array_split(x, n_epochs) y2 = np.array_split(y, n_epochs) - Rxy = np.zeros((n_epochs, n_freqs), dtype=np.complex) - Rxx = np.zeros((n_epochs, n_freqs), dtype=np.complex) - Ryy = np.zeros((n_epochs, n_freqs), dtype=np.complex) + Rxy = np.zeros((n_epochs, n_freqs), dtype=complex) + Rxx = np.zeros((n_epochs, n_freqs), dtype=complex) + Ryy = np.zeros((n_epochs, n_freqs), dtype=complex) for i in range(n_epochs): Rxy[i], freqs = mlab.csd(x2[i], y2[i], NFFT=nfft, Fs=sfreq) @@ -87,7 +87,7 @@ def my_cohy(n_freqs, Rxy_mean, Rxx_mean, Ryy_mean): def my_plv(n_freqs, Rxy, Rxy_mean): ''' Computes PLV. ''' - Rxy_plv = np.zeros((n_epochs, n_freqs), dtype=np.complex) + Rxy_plv = np.zeros((n_epochs, n_freqs), dtype=complex) for i in range(0, n_epochs): Rxy_plv[i] = Rxy[i] / np.abs(Rxy[i]) @@ -96,7 +96,7 @@ def my_plv(n_freqs, Rxy, Rxy_mean): def my_pli(n_freqs, Rxy, Rxy_mean): ''' Computes PLI. ''' - Rxy_pli = np.zeros((n_epochs, n_freqs), dtype=np.complex) + Rxy_pli = np.zeros((n_epochs, n_freqs), dtype=complex) for i in range(0, n_epochs): Rxy_pli[i] = np.sign(np.imag(Rxy[i])) @@ -105,8 +105,8 @@ def my_pli(n_freqs, Rxy, Rxy_mean): def my_wpli(n_freqs, Rxy, Rxy_mean): ''' Computes WPLI. ''' - Rxy_wpli_1 = np.zeros((n_epochs, n_freqs), dtype=np.complex) - Rxy_wpli_2 = np.zeros((n_epochs, n_freqs), dtype=np.complex) + Rxy_wpli_1 = np.zeros((n_epochs, n_freqs), dtype=complex) + Rxy_wpli_2 = np.zeros((n_epochs, n_freqs), dtype=complex) for i in range(0, n_epochs): Rxy_wpli_1[i] = np.imag(Rxy[i]) Rxy_wpli_2[i] = np.abs(np.imag(Rxy[i])) diff --git a/examples/preprocessing/plot_noise_reducer.py b/examples/preprocessing/plot_noise_reducer.py index 5f035fa6..a91a6d70 100644 --- a/examples/preprocessing/plot_noise_reducer.py +++ b/examples/preprocessing/plot_noise_reducer.py @@ -18,7 +18,12 @@ plt.ion() # load the jumeg sample data (has to be BTI) -data_dir = os.environ['JUSAMPLE_MEG_PATH'] +if os.environ.get('JUSAMPLE_MEG_PATH'): + data_dir = os.environ['JUSAMPLE_MEG_PATH'] +else: + print('Data unavailable, skipping.') + sys.exit() + subject = '207184' raw_fname = op.join(data_dir, 'recordings', subject, 'sample_207184_rest_EC-raw.fif') diff --git a/jumeg/connectivity/con_viz.py b/jumeg/connectivity/con_viz.py index 67081595..62e10361 100644 --- a/jumeg/connectivity/con_viz.py +++ b/jumeg/connectivity/con_viz.py @@ -698,7 +698,7 @@ def plot_connectivity_circle(con, node_names, indices=None, n_lines=None, # edges: We modulate the noise with the number of connections of the # node and the connection strength, such that the strongest connections # are closer to the node center - nodes_n_con = np.zeros((n_nodes), dtype=np.int) + nodes_n_con = np.zeros((n_nodes), dtype=int) for i, j in zip(indices[0], indices[1]): nodes_n_con[i] += 1 nodes_n_con[j] += 1 @@ -1315,7 +1315,7 @@ def plot_lines_and_blobs(con, degrees, cortex_grouping, orig_labels_fname, # edges: We modulate the noise with the number of connections of the # node and the connection strength, such that the strongest connections # are closer to the node center - nodes_n_con = np.zeros((n_nodes), dtype=np.int) + nodes_n_con = np.zeros((n_nodes), dtype=int) for i, j in zip(indices[0], indices[1]): nodes_n_con[i] += 1 nodes_n_con[j] += 1 @@ -1679,7 +1679,7 @@ def _plot_connectivity_circle_group_bars(con, node_names, # edges: We modulate the noise with the number of connections of the # node and the connection strength, such that the strongest connections # are closer to the node center - nodes_n_con = np.zeros((n_nodes), dtype=np.int) + nodes_n_con = np.zeros((n_nodes), dtype=int) for i, j in zip(indices[0], indices[1]): nodes_n_con[i] += 1 nodes_n_con[j] += 1 diff --git a/jumeg/decompose/dimension_selection.py b/jumeg/decompose/dimension_selection.py index d258090e..658654bc 100644 --- a/jumeg/decompose/dimension_selection.py +++ b/jumeg/decompose/dimension_selection.py @@ -414,7 +414,7 @@ def pca_rank_cv(data, n_comp_list, cv=5, whiten=True): pca = PCA(svd_solver='auto', whiten=whiten) pca_scores = [] for n in n_comp_list: - pca.n_components = np.int(n) + pca.n_components = int(n) pca_scores.append(np.mean(cross_val_score(pca, data.T, cv=cv))) n_components_pca = n_comp_list[np.argmax(pca_scores)] @@ -435,7 +435,7 @@ def fa_rank_cv(data, n_comp_list, cv=5): fa = FactorAnalysis() fa_scores = [] for n in n_comp_list: - fa.n_components = np.int(n) + fa.n_components = int(n) fa_scores.append(np.mean(cross_val_score(fa, data.T, cv=cv))) n_components_fa = n_comp_list[np.argmax(fa_scores)] diff --git a/requirements_docs.txt b/requirements_docs.txt index da6fddf8..38c141a3 100644 --- a/requirements_docs.txt +++ b/requirements_docs.txt @@ -2,13 +2,14 @@ mne mne-connectivity mne-features networkx -nibabel nilearn python-louvain -bctpy +pyvistaqt mayavi -surfer +pysurfer pyyaml +bctpy +scot sphinx-gallery sphinx-bootstrap-theme numpydoc From b2326c0561e05deaa7ae638d6efa4ee14bab06c1 Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Fri, 5 May 2023 16:36:39 +0200 Subject: [PATCH 27/45] Update workflows 11. --- .github/workflows/build_docs.yml | 13 ++++++++++++- 1 file changed, 12 insertions(+), 1 deletion(-) diff --git a/.github/workflows/build_docs.yml b/.github/workflows/build_docs.yml index dca6c743..bc396c2e 100644 --- a/.github/workflows/build_docs.yml +++ b/.github/workflows/build_docs.yml @@ -27,7 +27,18 @@ jobs: - name: Build sphinx docs uses: ammaraskar/sphinx-action@master with: - working-directory: ${{ env.GITHUB_WORKSPACE }} docs-folder: "docs/" pre-build-command: "pip install -r requirements_docs.txt && pip install -e ." + - name: Upload artifacts + uses: actions/upload-artifact@v3 + with: + name: html-docs + path: docs/build/html/ + + - name: Deploy + uses: peaceiris/actions-gh-pages@v3 + # if: github.ref == 'refs/heads/gh-pages' + with: + github_token: ${{ secrets.GITHUB_TOKEN }} + publish_dir: dev/html From b8bd3bf4fe280034ef9b25474e496a98971e0f84 Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Fri, 5 May 2023 16:38:24 +0200 Subject: [PATCH 28/45] Update workflows 12. --- .github/workflows/build_docs.yml | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/.github/workflows/build_docs.yml b/.github/workflows/build_docs.yml index bc396c2e..c6a47209 100644 --- a/.github/workflows/build_docs.yml +++ b/.github/workflows/build_docs.yml @@ -36,9 +36,9 @@ jobs: name: html-docs path: docs/build/html/ - - name: Deploy - uses: peaceiris/actions-gh-pages@v3 - # if: github.ref == 'refs/heads/gh-pages' - with: - github_token: ${{ secrets.GITHUB_TOKEN }} - publish_dir: dev/html + - name: Deploy + uses: peaceiris/actions-gh-pages@v3 + # if: github.ref == 'refs/heads/gh-pages' + with: + github_token: ${{ secrets.GITHUB_TOKEN }} + publish_dir: dev/html From a5f34fcb1a84c374cb399c3d9e54ec97e93e8920 Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Fri, 5 May 2023 17:31:02 +0200 Subject: [PATCH 29/45] Update workflow 12 --- .github/workflows/build_docs.yml | 1 + requirements_docs.txt | 1 + 2 files changed, 2 insertions(+) diff --git a/.github/workflows/build_docs.yml b/.github/workflows/build_docs.yml index c6a47209..61e549d6 100644 --- a/.github/workflows/build_docs.yml +++ b/.github/workflows/build_docs.yml @@ -29,6 +29,7 @@ jobs: with: docs-folder: "docs/" pre-build-command: "pip install -r requirements_docs.txt && pip install -e ." + build-command: "sphinx-build -b html docs ./docs/build/html/" - name: Upload artifacts uses: actions/upload-artifact@v3 diff --git a/requirements_docs.txt b/requirements_docs.txt index 38c141a3..2afbbc3d 100644 --- a/requirements_docs.txt +++ b/requirements_docs.txt @@ -6,6 +6,7 @@ nilearn python-louvain pyvistaqt mayavi +PyQt5 pysurfer pyyaml bctpy From 2ccdf92fe2762c3cb24d7fec241c42613af543a4 Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Fri, 5 May 2023 17:37:55 +0200 Subject: [PATCH 30/45] Update workflowd 13 --- .github/workflows/build_docs.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/build_docs.yml b/.github/workflows/build_docs.yml index 61e549d6..d221bfdb 100644 --- a/.github/workflows/build_docs.yml +++ b/.github/workflows/build_docs.yml @@ -29,7 +29,7 @@ jobs: with: docs-folder: "docs/" pre-build-command: "pip install -r requirements_docs.txt && pip install -e ." - build-command: "sphinx-build -b html docs ./docs/build/html/" + build-command: "sphinx-build -b html . docs/build/html/" - name: Upload artifacts uses: actions/upload-artifact@v3 From e2321dd49c8cb6fc8541d9f015454b8a7d45036f Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Fri, 5 May 2023 17:48:24 +0200 Subject: [PATCH 31/45] Update workflows 14. --- .github/workflows/build_docs.yml | 2 +- requirements_docs.txt | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/build_docs.yml b/.github/workflows/build_docs.yml index d221bfdb..5b45aa50 100644 --- a/.github/workflows/build_docs.yml +++ b/.github/workflows/build_docs.yml @@ -28,7 +28,7 @@ jobs: uses: ammaraskar/sphinx-action@master with: docs-folder: "docs/" - pre-build-command: "pip install -r requirements_docs.txt && pip install -e ." + pre-build-command: "pip install -r requirements_docs.txt && pip install -e . && export ETS_TOOLKIT=qt4 && export QT_API=pyqt5" build-command: "sphinx-build -b html . docs/build/html/" - name: Upload artifacts diff --git a/requirements_docs.txt b/requirements_docs.txt index 2afbbc3d..d83a4df3 100644 --- a/requirements_docs.txt +++ b/requirements_docs.txt @@ -5,8 +5,8 @@ networkx nilearn python-louvain pyvistaqt -mayavi PyQt5 +mayavi pysurfer pyyaml bctpy From 60236737e58d82baf2a7f67e52676d674d5f923b Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Fri, 5 May 2023 17:51:08 +0200 Subject: [PATCH 32/45] Update workflows 15. --- .github/workflows/build_docs.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/build_docs.yml b/.github/workflows/build_docs.yml index 5b45aa50..b79256cf 100644 --- a/.github/workflows/build_docs.yml +++ b/.github/workflows/build_docs.yml @@ -28,7 +28,7 @@ jobs: uses: ammaraskar/sphinx-action@master with: docs-folder: "docs/" - pre-build-command: "pip install -r requirements_docs.txt && pip install -e . && export ETS_TOOLKIT=qt4 && export QT_API=pyqt5" + pre-build-command: "pip install --upgrade pip && pip install -r requirements_docs.txt && pip install -e . && export ETS_TOOLKIT=qt4 && export QT_API=pyqt5" build-command: "sphinx-build -b html . docs/build/html/" - name: Upload artifacts From 240925d7f5e8a2e3d945868d6af540a3acfaf28d Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Fri, 5 May 2023 18:21:16 +0200 Subject: [PATCH 33/45] Update workflows 15. --- .github/workflows/build_docs.yml | 18 +++++++++++++----- 1 file changed, 13 insertions(+), 5 deletions(-) diff --git a/.github/workflows/build_docs.yml b/.github/workflows/build_docs.yml index b79256cf..c6265246 100644 --- a/.github/workflows/build_docs.yml +++ b/.github/workflows/build_docs.yml @@ -25,11 +25,19 @@ jobs: - uses: actions/checkout@v3 - name: Build sphinx docs - uses: ammaraskar/sphinx-action@master - with: - docs-folder: "docs/" - pre-build-command: "pip install --upgrade pip && pip install -r requirements_docs.txt && pip install -e . && export ETS_TOOLKIT=qt4 && export QT_API=pyqt5" - build-command: "sphinx-build -b html . docs/build/html/" + run: "pip install --upgrade pip" + run: "pip install -r requirements_docs.txt" + run: "pip install -e ." + run: "export ETS_TOOLKIT=qt4" + run: "export QT_API=pyqt5" + run: "sphinx-build -b html docs docs/build/html/" + + # - name: Build sphinx docs + # uses: ammaraskar/sphinx-action@master + # with: + # docs-folder: "docs/" + # pre-build-command: "pip install --upgrade pip && pip install -r requirements_docs.txt && pip install -e . && export ETS_TOOLKIT=qt4 && export QT_API=pyqt5" + # build-command: "sphinx-build -b html . docs/build/html/" - name: Upload artifacts uses: actions/upload-artifact@v3 From 673319b99520c8ca368afd679ac2180237655e42 Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Fri, 5 May 2023 18:23:39 +0200 Subject: [PATCH 34/45] Update workflows 16. --- .github/workflows/build_docs.yml | 13 +++++++------ 1 file changed, 7 insertions(+), 6 deletions(-) diff --git a/.github/workflows/build_docs.yml b/.github/workflows/build_docs.yml index c6265246..15534d57 100644 --- a/.github/workflows/build_docs.yml +++ b/.github/workflows/build_docs.yml @@ -25,12 +25,13 @@ jobs: - uses: actions/checkout@v3 - name: Build sphinx docs - run: "pip install --upgrade pip" - run: "pip install -r requirements_docs.txt" - run: "pip install -e ." - run: "export ETS_TOOLKIT=qt4" - run: "export QT_API=pyqt5" - run: "sphinx-build -b html docs docs/build/html/" + run: | + "pip install --upgrade pip" + "pip install -r requirements_docs.txt" + "pip install -e ." + "export ETS_TOOLKIT=qt4" + "export QT_API=pyqt5" + "sphinx-build -b html docs docs/build/html/" # - name: Build sphinx docs # uses: ammaraskar/sphinx-action@master From b7e96af8f889253759fed7fe17607c7f58d92296 Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Tue, 9 May 2023 13:56:55 +0200 Subject: [PATCH 35/45] Update workflows 17. --- .github/workflows/build_conda.yml | 31 +++++++++++++++++++++++++++++++ jumeg.yml | 7 +------ 2 files changed, 32 insertions(+), 6 deletions(-) create mode 100644 .github/workflows/build_conda.yml diff --git a/.github/workflows/build_conda.yml b/.github/workflows/build_conda.yml new file mode 100644 index 00000000..368e11e4 --- /dev/null +++ b/.github/workflows/build_conda.yml @@ -0,0 +1,31 @@ +# Test conda environments for jumeg + +name: "Configure conda" + +# Controls when the workflow will run +on: + # Triggers the workflow on push or pull request events but only for the "main_dev" branch + push: + branches: [ "main_dev" ] + pull_request: + branches: [ "main_dev" ] + +jobs: + setup_conda: + name: Setup jumeg environment. + runs-on: "ubuntu-latest" + defaults: + run: + shell: bash -el {0} + steps: + - uses: actions/checkout@v2 + - uses: conda-incubator/setup-miniconda@v2 + with: + activate-environment: jumeg + environment-file: jumeg.yml + python-version: 3.9 + condarc-file: + auto-activate-base: false + - run: | + conda info + conda list diff --git a/jumeg.yml b/jumeg.yml index 3f85a31f..f4191996 100644 --- a/jumeg.yml +++ b/jumeg.yml @@ -5,18 +5,14 @@ dependencies: - python=3.9 - pip - ipython - - jupyter - matplotlib - mayavi - - mkdocs - - mkdocs-material - mne - mne-connectivity - mne-features - networkx - - nibabel + - nibabel=5.0 - nilearn - - numpydoc - pandas - pandoc - pyvista @@ -30,7 +26,6 @@ dependencies: - pip: - sphinx-gallery - sphinx-bootstrap-theme - - jupyter-book - pytest - pytest-cov - python-louvain From 1a22c3d636445b97e2e2775419ccbb3a26f1cb77 Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Thu, 11 May 2023 15:56:04 +0200 Subject: [PATCH 36/45] Create main.yml temporarily. --- .github/workflows/main.yml | 1 + 1 file changed, 1 insertion(+) create mode 100644 .github/workflows/main.yml diff --git a/.github/workflows/main.yml b/.github/workflows/main.yml new file mode 100644 index 00000000..8b137891 --- /dev/null +++ b/.github/workflows/main.yml @@ -0,0 +1 @@ + From e53c8af335040a5846c45fcebd858ac779d58749 Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Thu, 11 May 2023 15:57:16 +0200 Subject: [PATCH 37/45] Delete main.yml Temporarily to test workflows. --- .github/workflows/main.yml | 1 - 1 file changed, 1 deletion(-) delete mode 100644 .github/workflows/main.yml diff --git a/.github/workflows/main.yml b/.github/workflows/main.yml deleted file mode 100644 index 8b137891..00000000 --- a/.github/workflows/main.yml +++ /dev/null @@ -1 +0,0 @@ - From 59cea875f7fb8e725f421273f4c677ab644f9c55 Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Thu, 11 May 2023 17:57:28 +0200 Subject: [PATCH 38/45] Test conda workflows. --- .github/workflows/build_conda.yml | 15 +++++++++++++++ 1 file changed, 15 insertions(+) diff --git a/.github/workflows/build_conda.yml b/.github/workflows/build_conda.yml index 368e11e4..eb7b50a3 100644 --- a/.github/workflows/build_conda.yml +++ b/.github/workflows/build_conda.yml @@ -29,3 +29,18 @@ jobs: - run: | conda info conda list + - run: + name: Set BASH_ENV + command: | + echo "set -e" >> $BASH_ENV; + echo "export DISPLAY=:99" >> $BASH_ENV; + echo "export OPENBLAS_NUM_THREADS=4" >> $BASH_ENV; + echo "export PATH=~/.local/bin:$PATH" >> $BASH_ENV; + - run: + name: Spin up Xvfb + command: | + /sbin/start-stop-daemon --start --quiet --pidfile /tmp/custom_xvfb_99.pid --make-pidfile --background --exec /usr/bin/Xvfb -- :99 -screen 0 1400x900x24 -ac +extension GLX +render -noreset; + - run: + name: Test example + command: | + /usr/bin/env python ./examples/connectivity/plot_brain_connectome.py From c54ce3a9a6925edca0f0dc3be8fb61f360d272d2 Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Fri, 12 May 2023 12:52:40 +0200 Subject: [PATCH 39/45] Test build_conda.yml --- .github/workflows/build_conda.yml | 17 +++++++---------- 1 file changed, 7 insertions(+), 10 deletions(-) diff --git a/.github/workflows/build_conda.yml b/.github/workflows/build_conda.yml index eb7b50a3..6c1bb74a 100644 --- a/.github/workflows/build_conda.yml +++ b/.github/workflows/build_conda.yml @@ -24,23 +24,20 @@ jobs: activate-environment: jumeg environment-file: jumeg.yml python-version: 3.9 - condarc-file: auto-activate-base: false - run: | conda info conda list - - run: - name: Set BASH_ENV - command: | + + - name: Set BASH_ENV + run: | echo "set -e" >> $BASH_ENV; echo "export DISPLAY=:99" >> $BASH_ENV; echo "export OPENBLAS_NUM_THREADS=4" >> $BASH_ENV; echo "export PATH=~/.local/bin:$PATH" >> $BASH_ENV; - - run: - name: Spin up Xvfb - command: | + - name: Spin up Xvfb + run: | /sbin/start-stop-daemon --start --quiet --pidfile /tmp/custom_xvfb_99.pid --make-pidfile --background --exec /usr/bin/Xvfb -- :99 -screen 0 1400x900x24 -ac +extension GLX +render -noreset; - - run: - name: Test example - command: | + - name: Test example + run: | /usr/bin/env python ./examples/connectivity/plot_brain_connectome.py From d54b5b6b6e0609228f0a554dc367ea9cf81a02ef Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Wed, 24 May 2023 20:36:35 +0200 Subject: [PATCH 40/45] Remove build dir from gitignore. --- .github/workflows/build_conda.yml | 43 ------------------------ .github/workflows/build_docs.yml | 54 ------------------------------- .gitignore | 1 - docs/Makefile | 4 +-- 4 files changed, 2 insertions(+), 100 deletions(-) delete mode 100644 .github/workflows/build_conda.yml delete mode 100644 .github/workflows/build_docs.yml diff --git a/.github/workflows/build_conda.yml b/.github/workflows/build_conda.yml deleted file mode 100644 index 6c1bb74a..00000000 --- a/.github/workflows/build_conda.yml +++ /dev/null @@ -1,43 +0,0 @@ -# Test conda environments for jumeg - -name: "Configure conda" - -# Controls when the workflow will run -on: - # Triggers the workflow on push or pull request events but only for the "main_dev" branch - push: - branches: [ "main_dev" ] - pull_request: - branches: [ "main_dev" ] - -jobs: - setup_conda: - name: Setup jumeg environment. - runs-on: "ubuntu-latest" - defaults: - run: - shell: bash -el {0} - steps: - - uses: actions/checkout@v2 - - uses: conda-incubator/setup-miniconda@v2 - with: - activate-environment: jumeg - environment-file: jumeg.yml - python-version: 3.9 - auto-activate-base: false - - run: | - conda info - conda list - - - name: Set BASH_ENV - run: | - echo "set -e" >> $BASH_ENV; - echo "export DISPLAY=:99" >> $BASH_ENV; - echo "export OPENBLAS_NUM_THREADS=4" >> $BASH_ENV; - echo "export PATH=~/.local/bin:$PATH" >> $BASH_ENV; - - name: Spin up Xvfb - run: | - /sbin/start-stop-daemon --start --quiet --pidfile /tmp/custom_xvfb_99.pid --make-pidfile --background --exec /usr/bin/Xvfb -- :99 -screen 0 1400x900x24 -ac +extension GLX +render -noreset; - - name: Test example - run: | - /usr/bin/env python ./examples/connectivity/plot_brain_connectome.py diff --git a/.github/workflows/build_docs.yml b/.github/workflows/build_docs.yml deleted file mode 100644 index 15534d57..00000000 --- a/.github/workflows/build_docs.yml +++ /dev/null @@ -1,54 +0,0 @@ -# This is a basic workflow to help you get started with Actions - -name: "Builds docs" - -# Controls when the workflow will run -on: - # Triggers the workflow on push or pull request events but only for the "main_dev" branch - push: - branches: [ "main_dev" ] - pull_request: - branches: [ "main_dev" ] - - # Allows you to run this workflow manually from the Actions tab - workflow_dispatch: - -jobs: - docs: - # The type of runner that the job will run on - runs-on: ubuntu-latest - - # Steps represent a sequence of tasks that will be executed as part of the job - steps: - - # Checks-out your repository under $GITHUB_WORKSPACE, so your job can access it - - uses: actions/checkout@v3 - - - name: Build sphinx docs - run: | - "pip install --upgrade pip" - "pip install -r requirements_docs.txt" - "pip install -e ." - "export ETS_TOOLKIT=qt4" - "export QT_API=pyqt5" - "sphinx-build -b html docs docs/build/html/" - - # - name: Build sphinx docs - # uses: ammaraskar/sphinx-action@master - # with: - # docs-folder: "docs/" - # pre-build-command: "pip install --upgrade pip && pip install -r requirements_docs.txt && pip install -e . && export ETS_TOOLKIT=qt4 && export QT_API=pyqt5" - # build-command: "sphinx-build -b html . docs/build/html/" - - - name: Upload artifacts - uses: actions/upload-artifact@v3 - with: - name: html-docs - path: docs/build/html/ - - - name: Deploy - uses: peaceiris/actions-gh-pages@v3 - # if: github.ref == 'refs/heads/gh-pages' - with: - github_token: ${{ secrets.GITHUB_TOKEN }} - publish_dir: dev/html diff --git a/.gitignore b/.gitignore index e431bc30..da3ef360 100644 --- a/.gitignore +++ b/.gitignore @@ -34,7 +34,6 @@ old/ devel env/ bin/ -build/ develop-eggs/ dist/ eggs/ diff --git a/docs/Makefile b/docs/Makefile index d8de81bc..61e9b040 100755 --- a/docs/Makefile +++ b/docs/Makefile @@ -5,10 +5,10 @@ SPHINXOPTS ?= SPHINXBUILD ?= sphinx-build SOURCEDIR = . -BUILDDIR = _build +BUILDDIR = build GITHUB_PAGES_BRANCH = jumeg_sphinx -OUTPUTDIR = _build/html +OUTPUTDIR = build/html # Put it first so that "make" without argument is like "make help". # help: From 42f1ecac3ce29bfb923294ddc14d8d733072f218 Mon Sep 17 00:00:00 2001 From: Praveen Sripad Date: Wed, 24 May 2023 20:37:06 +0200 Subject: [PATCH 41/45] Add all locally built docs. --- docs/build/doctrees/api.doctree | Bin 0 -> 29959 bytes .../causality/do_granger_causality.doctree | Bin 0 -> 21133 bytes .../auto_examples/causality/index.doctree | Bin 0 -> 8199 bytes .../causality/plot_causality_circle.doctree | Bin 0 -> 12791 bytes ...lot_inter_and_intra_lobe_causality.doctree | Bin 0 -> 19469 bytes .../causality/sg_execution_times.doctree | Bin 0 -> 7866 bytes .../auto_examples/connectivity/index.doctree | Bin 0 -> 38723 bytes .../plot_annot_standard_rsns.doctree | Bin 0 -> 28879 bytes .../plot_brain_connectome.doctree | Bin 0 -> 14073 bytes 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zSn#iYyA4EKJh)zKdE~E;JFZ&^9)B)c-D_}L+B^W#G9u1Su&W#r*HEl<WpbkA&Xt}PSH3S~ z9HSk$@_Y5xRxn8OWC{SmDcAgVS^cd})g{($qpMinN?!bDT}vog|FK?p{C;iU=>;lg z#!bQ2Yti2uXI1B*b}gOkVO57&mVsTDcWT=<&Z~=lLmHg}du66Wi@GZMRjP~IEkh&w9#dST3-DTl#&a`%@ zM7%QznCwv-h~S3{v@8h$XJmn}ECht9yR0qSGOBpy zM>5TF7ovO6)KwIIn7i5Oo2ORd`_AfQ$c@n^6lg#ckcc)EwneV+`#N{4r}WBG3V*yd zvv!2|w;xr9E){6D-dUYk+vyL;01Gb(_(#E@!tbFqn&)V!;O-dX8^})olHrjyafnm~ zIB*T+`x9{6JbG6~zimXu$U0O|uIGMxbf4J+Ivp0N3JZJkUAyh^hw73pzzUH~&FCNc8&5-JFe z>VM^LMObwna`eC|#5305RaB~dSU*GoRyC_Q?aFWP^a(u@{h;C!Brl+dA}Em@F06Wr zvgjQ`DL~8NaSPa>8q!Q=uR||R$hSyXeV>SL#W&(>@s;>Oe4hIu z&A7`9s?zJ~+bi+)mH6UWE?%MGH>f*bp<(@8Jj?xFH;U!4dyxbdNH1JfNhn#Hb(Q{I zNwp5oUPL{aYSjXxT>6tWVY_;`a^kSLwcK=b<$RE?am4bs*3YVEQ2jwA5t +''' + +import os.path as op +import numpy as np +import mne + +from mne.datasets import sample +from jumeg.jumeg_utils import get_jumeg_path +from jumeg.connectivity import make_annot_from_csv +from jumeg.connectivity import plot_grouped_connectivity_circle + +data_path = sample.data_path() +subject = 'sample' +subjects_dir = op.join(data_path, 'subjects') +parc_fname = 'standard_garces_2016' +csv_fname = op.join(get_jumeg_path(), 'data', 'standard_rsns.csv') + +# set make_annot to True to save the annotation to disk +labels, coords, foci = make_annot_from_csv(subject, subjects_dir, csv_fname, + parc_fname=parc_fname, + make_annot=False, + return_label_coords=True) + +aparc = mne.read_labels_from_annot('sample', subjects_dir=subjects_dir) +aparc_names = [apa.name for apa in aparc] +lh_aparc = [mylab for mylab in aparc if mylab.hemi == 'lh'] +rh_aparc = [mylab for mylab in aparc if mylab.hemi == 'rh'] + +# get the appropriate resting state labels +rst_aparc = [] +for i, rst_label in enumerate(labels): + myfoci = foci[i] # get the vertex + if rst_label.hemi == 'lh': # vertex hemi is stored in the rst_label + for mylab in lh_aparc: + if myfoci in mylab.vertices: + print('Left: ', rst_label.name, myfoci, mylab, aparc.index(mylab)) + rst_aparc.append(mylab) + elif rst_label.hemi == 'rh': + for mylab in rh_aparc: + if myfoci in mylab.vertices: + print('Right: ', rst_label.name, myfoci, mylab, aparc.index(mylab)) + rst_aparc.append(mylab) + else: + print('ERROR: ', rst_label) + +# only 16 labels in aparc show up, there are no vertices in the left hemi for +# Frontoinsular_Median cingulate-lh +rst_indices = [aparc.index(rst) for rst in rst_aparc] + +networks = {'Visual': ['lateraloccipital-lh', 'lateraloccipital-rh'], + 'Sensorimotor': ['supramarginal-lh', 'supramarginal-rh'], + 'Auditory': ['inferiortemporal-lh', 'middletemporal-rh'], + 'DMN': ['precuneus-lh', 'inferiorparietal-lh', + 'inferiorparietal-rh', 'medialorbitofrontal-lh'], + 'Left_FP': ['inferiorparietal-lh', 'superiortemporal-lh'], + 'Right_FP': ['inferiorparietal-rh', 'superiortemporal-rh'], + 'Frontoinsular': ['inferiortemporal-lh', 'inferiortemporal-rh']} + +# make a temporary connectivity matrix +n_nodes = 68 +con = np.zeros((n_nodes, n_nodes)) + +rst_combindices = [[16, 31], [50, 14], [50, 15], [50, 28], [14, 15], + [14, 28], [15, 28], [22, 23], [14, 60], [62, 63], + [15, 61], + [16, 17]] + +# assign different values to different networks manually +con[16, 31] = 0.4 # Auditory +con[50, 14] = con[50, 15] = con[50, 28] = con[14, 15] = con[14, 28] = con[15, 28] = 0.5 # DMN +con[22, 23] = 0.6 # Visual +con[14, 60] = 0.7 # Left FP +con[62, 63] = 0.8 # Sensorimotor +con[15, 61] = 0.9 # Right FP +con[16, 17] = 1 # Frontoinsular + +con += con.T # since we only add the combinations + +# plot the connectivity circle showing standard RSNs +from matplotlib.colors import ListedColormap +cmap = ListedColormap(['m', 'k', 'b', 'y', 'r', 'c', 'g']) +yaml_fname = get_jumeg_path() + '/data/desikan_aparc_cortex_based_grouping.yaml' + +plot_grouped_connectivity_circle(yaml_fname, con, aparc_names, n_lines=12, + labels_mode=None, colormap=cmap, colorbar=True, + replacer_dict=None, indices=None, + out_fname='fig_rsn_circle_plot.png') diff --git a/docs/build/html/_downloads/047fdb71f9cb68705bd352681e6764e6/plot_label_distances.ipynb b/docs/build/html/_downloads/047fdb71f9cb68705bd352681e6764e6/plot_label_distances.ipynb new file mode 100644 index 00000000..a945551c --- /dev/null +++ b/docs/build/html/_downloads/047fdb71f9cb68705bd352681e6764e6/plot_label_distances.ipynb @@ -0,0 +1,43 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# Plot label distances\n\nScript to plot label distances on circle and connectome plots.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import os.path as op\n\nimport mne\nfrom mne.datasets import sample\nfrom mne_connectivity import degree\n\nfrom jumeg import get_jumeg_path\nfrom jumeg.connectivity import (get_label_distances,\n plot_grouped_connectivity_circle)\nimport yaml\n\nfrom nilearn import plotting\n\ndata_path = sample.data_path()\nsubjects_dir = op.join(data_path, 'subjects')\nsubject = 'sample'\n\nparc = 'aparc'\n\nyaml_cortex_fname = op.join(get_jumeg_path(), 'data/desikan_%s_cortex_based_grouping.yaml' % parc)\n\nlabels_fname = op.join(get_jumeg_path(), 'data/desikan_label_names.yaml')\nwith open(labels_fname, 'r') as f:\n label_names = yaml.safe_load(f)['label_names']\n\nreplacer_dict_fname = op.join(get_jumeg_path(), 'data/replacer_dictionaries.yaml')\nwith open(replacer_dict_fname, 'r') as f:\n replacer_dict = yaml.safe_load(f)['replacer_dict_%s' % parc]\n\n# compute distances between center of masses (COMs) of the labels\n# we also get the MNI coordinates of the COMs in millimetres\ncon, coords, _, _ = get_label_distances(subject, subjects_dir, parc=parc)\n\n# forget long range connections, plot short neighbouring connections\nneighbor_range = 30. # millimetres\ncon[con > neighbor_range] = 0.\n\ncortex_colors = ['m', 'b', 'y', 'c', 'r', 'g',\n 'g', 'r', 'c', 'y', 'b', 'm']\n\nout_fname = 'fig_label_com_distances_circle_%0.1f_%s.png' % (neighbor_range, parc)\nplot_grouped_connectivity_circle(yaml_cortex_fname, con, label_names,\n replacer_dict=replacer_dict,\n yaml_color_fname=None, labels_mode='replace',\n cortex_colors=cortex_colors,\n out_fname=out_fname, colorbar_pos=(0.1, 0.1),\n n_lines=None, colorbar=True,\n colormap='Reds')\n\n# compute the degree\ndegs = degree(con, threshold_prop=1)\n\n# show the label ROIs and short range connections using nilearn glass brain\nfig = plotting.plot_connectome(con, coords, node_size=degs,\n edge_threshold='99%',\n node_color='cornflowerblue',\n display_mode='ortho',\n title='%s' % parc)\n\nfig.savefig('fig_%s_labels_distance_degrees.png' % parc)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/docs/build/html/_downloads/0502bd09d5a2aa3af6cddc6b74365731/do_MLICA.py b/docs/build/html/_downloads/0502bd09d5a2aa3af6cddc6b74365731/do_MLICA.py new file mode 100644 index 00000000..8f671422 --- /dev/null +++ b/docs/build/html/_downloads/0502bd09d5a2aa3af6cddc6b74365731/do_MLICA.py @@ -0,0 +1,165 @@ +""" +========== +Do MLICA +========== + +Compute ICA object based on filtered and downsampled data. +Identify ECG and EOG artifacts using the pre-trained DCNN model +and compare results using correlation & ctps analysis. + +Apply ICA object to filtered and unfiltered data. + +Ahmad Hasasneh, Nikolas Kampel, Praveen Sripad, N. Jon Shah, and Juergen Dammers +"Deep Learning Approach for Automatic Classification of Ocular and Cardiac +Artifacts in MEG Data" +Journal of Engineering, vol. 2018, Article ID 1350692,10 pages, 2018. +https://doi.org/10.1155/2018/1350692 +""" + +import os.path as op +import matplotlib.pylab as plt +plt.ion() +import numpy as np +import mne +from jumeg.decompose.ica_replace_mean_std import ICA, ica_update_mean_std +from keras.models import load_model +from jumeg.jumeg_noise_reducer import noise_reducer +from jumeg.jumeg_preprocessing import get_ics_cardiac, get_ics_ocular +from jumeg.jumeg_plot import plot_performance_artifact_rejection +from jumeg.jumeg_utils import get_jumeg_path + +# ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ +# settings +# ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ +model_thresh = 0.8 # >0.5 ..0.9 +n_components = 40 # 30 .. 60 +njobs = 'cuda' +sfreq_new = 250 # downsampling to 250 Hz +flow_raw, flow_high = 2, 45 # high pass filter prevents from false positives +flow_ecg, fhigh_ecg = 8, 20 +flow_eog, fhigh_eog = 1, 20 +ecg_thresh, eog_thresh = 0.3, 0.3 +ecg_ch = 'ECG 001' +eog1_ch = 'EOG 001' +eog2_ch = 'EOG 002' +reject = {'mag': 5e-12} + +# number time samples is fixed to 15000 +nsamples_chop = 15000 +ix_t1 = 0 # time index: here we use the first chop +ix_t2 = ix_t1 + nsamples_chop + +# ---------------------------------------------- +# load DCNN model for artifact rejection +# the details of the model is provided in: +# x_validation_shuffle_v4_split_23.txt +# model was trained on 4D data from Juelich +# ---------------------------------------------- +model_path = op.join(get_jumeg_path(), 'data') +model_name = op.join(model_path, "dcnn_model.hdf5") +model = load_model(model_name) + +# ---------------------------------------------- +# read example data file +# ---------------------------------------------- +path_data = '/data/megraid22/Common/DeepLearning/cau_data_validation/' +raw_fname = op.join(path_data, '109925_CAU01A_100715_0842_2_c,rfDC,t1,n_bcc,nr-raw.fif') +raw = mne.io.Raw(raw_fname, preload=True) +picks = mne.pick_types(raw.info, meg=True, eeg=False, eog=False, + stim=False, exclude='bads') + + +# ---------------------------------------------- +# filtering and down sampling +# ---------------------------------------------- +# filter prior to ICA +raw_filtered = raw.copy().filter(flow_raw, flow_high, picks=picks, filter_length='auto', + l_trans_bandwidth='auto', h_trans_bandwidth='auto', + n_jobs=njobs, method='fir', phase='zero', + fir_window='hamming') +# downsample data +raw_ds = raw_filtered.copy().resample(sfreq_new, npad='auto', window='boxcar', stim_picks=None, + n_jobs=njobs, events=None) + +# ---------------------------------------------- +# crop data to get first chop +# ---------------------------------------------- +# get times to crop +dt = raw_ds.times[1] # time period between two time samples +tmin = ix_t1 * dt +tmax = ix_t2 * dt - dt # subtract one sample +# crop all raw objects +raw_chop = raw.copy().crop(tmin=tmin, tmax=tmax) # raw +raw_filtered_chop = raw_filtered.copy().crop(tmin=tmin, tmax=tmax) # raw filtered +raw_ds_chop = raw_ds.copy().crop(tmin=tmin, tmax=tmax) # raw filtered downsampled +raw_filtered.close() + +# ---------------------------------------------- +# apply ICA +# ---------------------------------------------- +ica = ICA(method='fastica', n_components=n_components, random_state=42, + max_pca_components=None, max_iter=5000, verbose=None) +# do the ICA decomposition on downsampled raw +ica.fit(raw_ds_chop, picks=picks, reject=reject, verbose=None) +sources = ica.get_sources(raw_ds_chop)._data # get sources +sources = np.reshape(sources, (n_components,nsamples_chop, 1)) # reshape sources + +# ---------------------------------------------- +# model prediction +# identification of artifact components +# ---------------------------------------------- +# compute base functions +mm = np.float32(np.dot(ica.mixing_matrix_[:, :ica.n_components_].T, + ica.pca_components_[:ica.n_components_, :ica.max_pca_components])) +# get model prediction +model_scores = model.predict([mm, sources], verbose=1) +# get ICs +bads_MLICA = list(np.where(model_scores[:,0] > model_thresh)[0]) + +# ---------------------------------------------- +# order ICs for visualization +# ---------------------------------------------- +var_order = sources.std(axis=1).flatten().argsort()[::-1] +good_ics = np.setdiff1d(var_order, bads_MLICA) +ic_order = list(np.concatenate([bads_MLICA, good_ics])) +# store components in ica object +ica.exclude = list(bads_MLICA) + + +# ---------------------------------------------- +# compare MLICA results with correlation and ctps +# ---------------------------------------------- +print('Identifying components..') +# get ECG/EOG related components using JuMEG +ic_ecg = get_ics_cardiac(raw_filtered_chop, ica, flow=flow_ecg, fhigh=fhigh_ecg, + thresh=ecg_thresh, tmin=-0.5, tmax=0.5, + name_ecg=ecg_ch, use_CTPS=True)[0] # returns both ICs and scores (take only ICs) +ic_eog = get_ics_ocular(raw_filtered_chop, ica, flow=flow_eog, fhigh=fhigh_eog, + thresh=eog_thresh, name_eog_hor=eog1_ch, + name_eog_ver=eog2_ch, score_func='pearsonr') +bads_corr_ctps = list(ic_ecg) + list(ic_eog) +bads_corr_ctps = list(set(bads_corr_ctps)) # remove potential duplicates +bads_corr_ctps.sort() +print('Bad components from MLICA:', bads_MLICA) +print('Bad components from correlation & ctps:', bads_corr_ctps) + + +# ---------------------------------------------- +# plot results +# ---------------------------------------------- +# plot sources +fig = ica.plot_sources(raw_filtered_chop, picks=ic_order, title='MLICA', show=False) +#fig.savefig('MLICA_ica-sources.png') + +# plot artifact rejection performance +fnout_fig = '109925_CAU01A_100715_0842_2_c,rfDC,0-45hz,ar-perf' +ica_filtered_chop = ica_update_mean_std(raw_filtered_chop, ica, picks=picks, reject=reject) +raw_filtered_chop_clean = ica_filtered_chop.apply(raw_filtered_chop, exclude=ica.exclude, + n_pca_components=None) +ica_unfiltered_chop = ica_update_mean_std(raw_chop, ica, picks=picks, reject=reject) +raw_unfiltered_chop_clean = ica_unfiltered_chop.apply(raw_chop, exclude=ica.exclude, n_pca_components=None) +plot_performance_artifact_rejection(raw.copy().crop(tmin=tmin, tmax=tmax), ica_unfiltered_chop, fnout_fig, + meg_clean=raw_unfiltered_chop_clean, + show=True, verbose=False, + name_ecg=ecg_ch, + name_eog=eog2_ch) diff --git a/docs/build/html/_downloads/0bf2dfa06a1770bae9694412d3acf41c/plot_annot_standard_rsns.py b/docs/build/html/_downloads/0bf2dfa06a1770bae9694412d3acf41c/plot_annot_standard_rsns.py new file mode 100644 index 00000000..db4feb84 --- /dev/null +++ b/docs/build/html/_downloads/0bf2dfa06a1770bae9694412d3acf41c/plot_annot_standard_rsns.py @@ -0,0 +1,60 @@ +#!/usr/bin/env python3 + +''' +============= +Visualise Standard RSNs +============= + +Grow and visualize standard resting state ROIs from literature. + +1. Read ROIs of standard regions involved in resting state networks from literature. + (the data is provided as a csv file with list of regions with seed MNI coordinates) +2. Grow labels of 1cm radius (approx) in the surface source space. +3. Make annotation and visualize the labels. + +Uses RSNs provided by [1] +[1] P. Garcés, M. C. Martín-Buro, and F. Maestú, +“Quantifying the Test-Retest Reliability of Magnetoencephalography +Resting-State Functional Connectivity,” Brain Connect., vol. 6, no. 6, pp. 448–460, 2016. + +Author: Praveen Sripad +''' + +import os.path as op +import numpy as np +import mne + +from mne.datasets import sample +from jumeg.jumeg_utils import get_jumeg_path +from jumeg.connectivity import make_annot_from_csv + +from nilearn import plotting +from mne.viz import Brain + +data_path = sample.data_path() +subject = 'sample' +subjects_dir = op.join(data_path, 'subjects') +parc_fname = 'standard_garces_2016' +csv_fname = op.join(get_jumeg_path(), 'data', 'standard_rsns.csv') + +# set make_annot to True to save the annotation to disk +labels, coords, _ = make_annot_from_csv(subject, subjects_dir, csv_fname, + parc_fname=parc_fname, make_annot=False, + return_label_coords=True) + +# to plot mni coords on glass brain +n_nodes = np.array(coords).shape[0] +# make a random zero valued connectivity matrix +con = np.zeros((n_nodes, n_nodes)) +# plot the connectome on a glass brain background +plotting.plot_connectome(con, coords) +plotting.show() + +# plot the brain surface, foci and labels +Brain = mne.viz.get_brain_class() +brain = Brain(subject, hemi='both', surf='white', subjects_dir=subjects_dir) + +for mni_coord, mylabel in zip(coords, labels): + brain.add_foci(mni_coord, coords_as_verts=False, hemi=mylabel.hemi, + color='red', scale_factor=0.6) + brain.add_label(mylabel, hemi=mylabel.hemi) diff --git a/docs/build/html/_downloads/12b6bcb9b626a1d1178f7fdd3249a0ce/plot_vertices_around_seed.ipynb b/docs/build/html/_downloads/12b6bcb9b626a1d1178f7fdd3249a0ce/plot_vertices_around_seed.ipynb new file mode 100644 index 00000000..cd6ab657 --- /dev/null +++ b/docs/build/html/_downloads/12b6bcb9b626a1d1178f7fdd3249a0ce/plot_vertices_around_seed.ipynb @@ -0,0 +1,43 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# Plot vertices around seed.\n\nFind distances between vertices and plot vertices in a small region.\n\nmainly using functions from within mne.label.grow_labels\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import os.path as op\nimport mne\nfrom mne.datasets import sample\n\ndata_path = sample.data_path()\nsubjects_dir = op.join(data_path, 'subjects')\n\ntris, vert, dist = {}, {}, {}\nhemi = 0 # lh\n\n# read the surface\nvert[hemi], tris[hemi] = mne.read_surface(subjects_dir + '/fsaverage/surf/lh.inflated')\n\n# obtain distance matrix\ndist[hemi] = mne.label.mesh_dist(tris[hemi], vert[hemi])\n\n# choose seed vertex as 20 and plot vertices within 5mm radius around it\n# obtain neighbouring vertices within 5mm distance\nmy_verts, my_dist = mne.label._verts_within_dist(dist[hemi], [20], 5)\n\n# number of vertices in a given radius\nprint(len(my_verts))\n\nfrom surfer import Brain\nbrain = Brain('fsaverage', hemi='lh', surf='inflated',\n subjects_dir=subjects_dir)\n\nfor myv in my_verts:\n brain.add_foci(myv, coords_as_verts=True, color='b', scale_factor=0.1)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/docs/build/html/_downloads/1c4991f5f22023e28372ef784a689e5a/plot_generate_surrogate_connectivity.py b/docs/build/html/_downloads/1c4991f5f22023e28372ef784a689e5a/plot_generate_surrogate_connectivity.py new file mode 100644 index 00000000..ef2b03b5 --- /dev/null +++ b/docs/build/html/_downloads/1c4991f5f22023e28372ef784a689e5a/plot_generate_surrogate_connectivity.py @@ -0,0 +1,119 @@ +#!/usr/bin/env python +''' +Surrogate computation +''' + +import os.path as op +import numpy as np +import matplotlib.pyplot as pl + +import mne +from mne_connectivity import spectral_connectivity_epochs +from mne.datasets import sample +from mne.minimum_norm import read_inverse_operator, apply_inverse_epochs + +from jumeg.jumeg_surrogates import Surrogates + +data_path = sample.data_path() +subjects_dir = op.join(data_path, 'subjects') + +fname_inv = op.join(data_path, 'MEG/sample/sample_audvis-meg-oct-6-meg-inv.fif') +fname_raw = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw.fif') +fname_event = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw-eve.fif') + +raw = mne.io.read_raw_fif(fname_raw) +events = mne.read_events(fname_event) +inverse_operator = read_inverse_operator(fname_inv) + +# add a bad channel +raw.info['bads'] += ['MEG 2443'] + +# pick MEG channels +picks = mne.pick_types(raw.info, meg=True, eeg=False, stim=False, eog=False, + exclude='bads') + +# Define epochs for left-auditory condition +event_id, tmin, tmax = 1, -0.2, 0.5 +epochs = mne.Epochs(raw, events, event_id, tmin, tmax, picks=picks, + baseline=(None, 0), reject=dict(mag=4e-12, grad=4000e-13)) + +snr = 1.0 # use lower SNR for single epochs +lambda2 = 1.0 / snr ** 2 +method = "dSPM" # use dSPM method (could also be MNE or sLORETA) +stcs = apply_inverse_epochs(epochs, inverse_operator, lambda2, method, + pick_ori="normal", return_generator=False) + +# get labels for FreeSurfer 'aparc' cortical parcellation with 34 labels/hemi +labels = mne.read_labels_from_annot('sample', parc='aparc', + subjects_dir=subjects_dir) +label_colors = [label.color for label in labels] + +# average the source estimates within each label using sign-flips to reduce +# signal cancellations, also here we can return a generator +src = inverse_operator['src'] +label_ts = mne.extract_label_time_course(stcs, labels, src, mode='mean_flip', + return_generator=False) + +# compute surrogates on the first STC extracted for 68 labels +n_surr = 5 +fmin = 8. +fmax = 13. +sfreq = raw.info['sfreq'] # the sampling frequency +con_methods = ['coh', 'plv', 'wpli'] +n_rois = len(labels) +full_surr_con = np.zeros((3, n_rois, n_rois, 1, n_surr)) + +real_con = spectral_connectivity_epochs( + label_ts, method=con_methods, mode='fourier', sfreq=sfreq, + fmin=fmin, fmax=fmax, faverage=True, n_jobs=4) + +# get the data from SpectralConnectivity object and expand it +real_con = np.array([c.get_data(output='dense') for c in real_con]) + +# loop through each of the label_ts from each epoch (i.e. 71) +# for my_label_ts in label_ts: +surr_ts = Surrogates(np.array(label_ts)) +surr_ts.original_data.shape +surr_label_ts = surr_ts.compute_surrogates(n_surr=n_surr, + return_generator=True) + +for ind_surr, surr in enumerate(surr_label_ts): + con = spectral_connectivity_epochs( + surr, method=con_methods, mode='fourier', sfreq=sfreq, + fmin=fmin, fmax=fmax, faverage=True, n_jobs=4) + + con = np.array([c.get_data(output='dense') for c in con]) + + # con now a list of arrays + # con shape (method, n_signals, n_signals, n_freqs) + full_surr_con[:, :, :, :, ind_surr] = con + assert full_surr_con.flatten().max() <= 1., 'Maximum connectivity is above 1.' + assert full_surr_con.flatten().min() >= 0., 'Minimum connectivity is 0.' + +surr_ts.clear_cache() + +# visualize the surrogates +# pl.plot(label_ts[0][0, :], 'b') +# for lts in surr_label_ts: +# pl.plot(lts[0, :], 'r') +# pl.title('Extracted label time courses - real vs surrogates') +# pl.show() + + +def sanity_check_con_matrix(con): + ''' + Check if the connectivity matrix provided satisfies necessary conditions. + This is done to ensure that the data remains clean and spurious values are + easily detected. + Expected a connectivity matrix of shape + (n_methods x n_rois x n_rois x n_freqs x n_surr) + ''' + n_methods, n_rois, n_rois, n_freqs, n_surr = con.shape + assert np.any(con), 'Matrix is not all zeros.' + assert not (con == con[0]).all(), 'All rows are equal - methods not different.' + for surr in range(1, n_surr): + assert not (con[:, :, :, :, surr] == con[:, :, :, :, 0]).all(), 'All surrogates are equal.' + assert not np.triu(con[0, :, :, 0, surr]).any(), 'Matrices not symmetric.' + + +sanity_check_con_matrix(full_surr_con) diff --git a/docs/build/html/_downloads/1d2fceab7d65c26180d6e8c827cdb8c9/plot_data_distribution.ipynb b/docs/build/html/_downloads/1d2fceab7d65c26180d6e8c827cdb8c9/plot_data_distribution.ipynb new file mode 100644 index 00000000..3f048a6a --- /dev/null +++ b/docs/build/html/_downloads/1d2fceab7d65c26180d6e8c827cdb8c9/plot_data_distribution.ipynb @@ -0,0 +1,43 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# Plot data distribution\n\nExample script to plot a given data distribution compared with a standard\nGaussian distribution.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import os.path as op\nimport matplotlib.pyplot as plt\nimport mne\nfrom mne.datasets import sample\nfrom jumeg.jumeg_plot import plot_histo_fit_gaussian\n\ndata_path = sample.data_path()\nsubjects_dir = op.join(data_path, 'subjects')\n\nfname_raw = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw.fif')\nfname_event = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw-eve.fif')\n\nraw = mne.io.read_raw_fif(fname_raw)\nevents = mne.read_events(fname_event)\n\n# add a bad channel\nraw.info['bads'] += ['MEG 2443']\n\n# pick MEG channels\npicks = mne.pick_types(raw.info, meg='mag', eeg=False, stim=False, eog=False,\n exclude='bads')\n\n# Define epochs for left-auditory condition\nevent_id, tmin, tmax = 1, -0.2, 0.5\nepochs = mne.Epochs(raw, events, event_id, tmin, tmax, picks=picks,\n baseline=(None, 0), reject=dict(mag=4e-12))\n\ndata = epochs.get_data()\n\nfig = plot_histo_fit_gaussian(data, nbins=100, fnout=None, show=True)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/docs/build/html/_downloads/1f814f9f4cefecdffeaf615e0db8e5d1/do_granger_causality.ipynb b/docs/build/html/_downloads/1f814f9f4cefecdffeaf615e0db8e5d1/do_granger_causality.ipynb new file mode 100644 index 00000000..5a66bb1e --- /dev/null +++ b/docs/build/html/_downloads/1f814f9f4cefecdffeaf615e0db8e5d1/do_granger_causality.ipynb @@ -0,0 +1,43 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# Granger Causality Analysis\n\nPerform Granger based causality analysis using Generalized Parital Directed\nCoherence on example dataset.\n\nUses the data and example from mne-python combined with the Scot package\nto perform the Granger Causality analysis.\n\nAuthor: Praveen Sripad \n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import numpy as np\nfrom scipy import stats\n\nimport mne\nfrom mne.datasets import sample\nfrom mne.minimum_norm import apply_inverse_epochs, read_inverse_operator\nfrom jumeg.jumeg_utils import get_jumeg_path\nfrom jumeg.connectivity.causality import (compute_order, do_mvar_evaluation,\n prepare_causality_matrix)\nfrom jumeg.connectivity import (plot_grouped_connectivity_circle,\n plot_grouped_causality_circle)\n\nimport scot\nimport scot.connectivity_statistics as scs\nfrom scot.connectivity import connectivity\nimport yaml\n\nimport time\nt_start = time.time()\n\nprint(('Scot version -', scot.__version__))\n\nyaml_fname = get_jumeg_path() + '/data/desikan_aparc_cortex_based_grouping.yaml'\nlabels_fname = get_jumeg_path() + '/data/desikan_label_names.yaml'\n\ndata_path = sample.data_path()\nsubjects_dir = data_path + '/subjects'\nfname_inv = data_path + '/MEG/sample/sample_audvis-meg-oct-6-meg-inv.fif'\nfname_raw = data_path + '/MEG/sample/sample_audvis_filt-0-40_raw.fif'\nfname_event = data_path + '/MEG/sample/sample_audvis_filt-0-40_raw-eve.fif'\n\n# Load data\ninverse_operator = read_inverse_operator(fname_inv)\nraw = mne.io.read_raw_fif(fname_raw)\nevents = mne.read_events(fname_event)\n\n# Add a bad channel\nraw.info['bads'] += ['MEG 2443']\n\n# Pick MEG channels\npicks = mne.pick_types(raw.info, meg=True, eeg=False, stim=False, eog=True,\n exclude='bads')\n\n# Define epochs for left-auditory condition\nevent_id, tmin, tmax = 1, -0.2, 0.5\nepochs = mne.Epochs(raw, events, event_id, tmin, tmax, picks=picks,\n baseline=(None, 0), reject=dict(mag=4e-12, grad=4000e-13,\n eog=150e-6))\nif not epochs.preload:\n epochs.load_data()\n\n# parameters, lots of parameters\nsnr = 1.0\nlambda2 = 1.0 / snr ** 2\nmethod = \"MNE\" # use MNE method (could also be MNE or sLORETA)\nstcs = apply_inverse_epochs(epochs, inverse_operator, lambda2, method,\n pick_ori=\"normal\", return_generator=True)\n\n# Get labels for FreeSurfer 'aparc' cortical parcellation with 34 labels/hemi\nlabels = mne.read_labels_from_annot('sample', parc='aparc',\n subjects_dir=subjects_dir)\nlabel_colors = [label.color for label in labels]\n\n# Average the source estimates within each label using sign-flips to reduce\n# signal cancellations, also here we return a generator\nsrc = inverse_operator['src']\nlabel_ts = mne.extract_label_time_course(stcs, labels, src, mode='mean_flip',\n return_generator=False)\nlabel_ts_ = np.array(label_ts)\n\nbands = ['alpha']\nfreqs = [(8, 13)]\ngcmethod = 'GPDC'\nn_surr = 1 # number of surrogates\nsurr_thresh = 95 # percentile of surr threshold used\nn_jobs = 1\nnfft = 512\n\n# normalize the representative ts\nprint('\\nperform normalization using zscoring...')\nlabel_ts = stats.zscore(label_ts_, axis=2)\n\nmorder = 15 # set fixed model order\n\n# set this to find the optimal model order using the BIC criterion\n# be advised, this takes a long time !!\n# morder, bic = compute_order(label_ts, m_max=100) # code provided by Qunxi\n# print('the model order based on BIC is..', morder)\n\n# evaluate the chosen model order\nprint(('\\nShape of label_ts -', label_ts.shape))\n# mvar needs (trials, channels, samples)\nprint(('\\nRunning for model order - ', morder))\n\nthr_cons, whit_min, whit_max = 0.8, 1., 3.\nis_white, consistency, is_stable = do_mvar_evaluation(label_ts, morder,\n whit_max, whit_min,\n thr_cons)\nprint(('model_order, whiteness, consistency, stability: %d, %s, %f, %s\\n'\n % (morder, str(is_white), consistency, str(is_stable))))\n\n# compute the Granger Partial Directed Coherence values\nprint('computing GPDC connectivity...')\n\nmvar = scot.var.VAR(morder)\n# result : array, shape (`repeats`, n_channels, n_channels, nfft)\nsurr = scs.surrogate_connectivity(gcmethod, label_ts, mvar, nfft=nfft,\n n_jobs=n_jobs, repeats=n_surr)\n\nmvar.fit(label_ts)\n# mvar coefficients (n_channels, n_channels * model_order)\n# mvar covariance matrix (n_channels, n_channels)\n# result : array, shape (n_channels, n_channels, `nfft`)\ncau = connectivity(gcmethod, mvar.coef, mvar.rescov, nfft=nfft)\n\n# get the band averaged, thresholded connectivity matrix\ncaus, max_cons, max_surrs = prepare_causality_matrix(\n cau, surr, freqs, nfft=nfft,\n sfreq=epochs.info['sfreq'], surr_thresh=surr_thresh)\n\nprint(('Shape of causality matrix: ', caus.shape))\n\n# read the label names used for plotting\n# with open(labels_fname, 'r') as f:\n# label_names = pickle.load(f)\n\nwith open(labels_fname, 'r') as f:\n label_names = yaml.safe_load(f)['label_names']\n\nplot_grouped_causality_circle(caus[0], yaml_fname, label_names, n_lines=10,\n labels_mode=None, replacer_dict=None,\n out_fname='causality_sample.png',\n colormap='Blues', colorbar=True,\n arrowstyle='->,head_length=1,head_width=1',\n figsize=(10, 6), show=False)\n\nt_end = time.time()\ntotal_time_taken = t_end - t_start\nprint(('Total time taken in minutes: %f' % (total_time_taken / 60.)))" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/docs/build/html/_downloads/2497ccb3c2bd5cd1acc86b574554d155/plot_vertices_around_seed.py b/docs/build/html/_downloads/2497ccb3c2bd5cd1acc86b574554d155/plot_vertices_around_seed.py new file mode 100644 index 00000000..d5b1183e --- /dev/null +++ b/docs/build/html/_downloads/2497ccb3c2bd5cd1acc86b574554d155/plot_vertices_around_seed.py @@ -0,0 +1,41 @@ +#!/usr/bin/env python + +''' +========== +Plot vertices around seed. +========== + +Find distances between vertices and plot vertices in a small region. + +mainly using functions from within mne.label.grow_labels +''' + +import os.path as op +import mne +from mne.datasets import sample + +data_path = sample.data_path() +subjects_dir = op.join(data_path, 'subjects') + +tris, vert, dist = {}, {}, {} +hemi = 0 # lh + +# read the surface +vert[hemi], tris[hemi] = mne.read_surface(subjects_dir + '/fsaverage/surf/lh.inflated') + +# obtain distance matrix +dist[hemi] = mne.label.mesh_dist(tris[hemi], vert[hemi]) + +# choose seed vertex as 20 and plot vertices within 5mm radius around it +# obtain neighbouring vertices within 5mm distance +my_verts, my_dist = mne.label._verts_within_dist(dist[hemi], [20], 5) + +# number of vertices in a given radius +print(len(my_verts)) + +from surfer import Brain +brain = Brain('fsaverage', hemi='lh', surf='inflated', + subjects_dir=subjects_dir) + +for myv in my_verts: + brain.add_foci(myv, coords_as_verts=True, color='b', scale_factor=0.1) diff --git a/docs/build/html/_downloads/27c1532ddb9fad71888869e44b018e4b/plot_compute_label_distances.py b/docs/build/html/_downloads/27c1532ddb9fad71888869e44b018e4b/plot_compute_label_distances.py new file mode 100644 index 00000000..eae0ae30 --- /dev/null +++ b/docs/build/html/_downloads/27c1532ddb9fad71888869e44b018e4b/plot_compute_label_distances.py @@ -0,0 +1,48 @@ +#!/usr/bin/env python3 + +""" +============= +Compute Label Distances +============= + +Script show how to compute and visualize distance between label center of +masses for a given subject. + +Author: Praveen Sripad +""" + +import os.path as op +from jumeg.connectivity import get_label_distances +from surfer import Brain +from nilearn import plotting +from mne.datasets import sample + +data_path = sample.data_path() +subjects_dir = op.join(data_path, 'subjects') +subject = 'sample' +parc = 'aparc_sub' + +# compute the distances between COM's of the labels +rounded_coms, coords, coms_lh, coms_rh = get_label_distances(subject, + subjects_dir, + parc=parc) +# np.save('%s_distances.npy' % subject, rounded_com) + +# get maximum distance between ROIs +print('Max distance between ROIs', rounded_coms.ravel().max()) + +# do plotting using PySurfer +brain = Brain(subject, hemi='both', surf='inflated', subjects_dir=subjects_dir) +brain.add_foci(coms_lh, coords_as_verts=True, hemi='lh') +brain.add_foci(coms_rh, coords_as_verts=True, hemi='rh') +brain.save_montage('%s_%s_coms.png' % (subject, parc), + order=['lat', 'ven', 'med'], + orientation='h', border_size=15, colorbar='auto', + row=-1, col=-1) +brain.close() + +# show the label ROIs using Nilearn plotting +fig = plotting.plot_connectome(rounded_coms, coords, + edge_threshold='99%', node_color='cornflowerblue', + title='%s - label distances' % parc) +fig.savefig('fig_%s_label_distances.png' % parc) diff --git a/docs/build/html/_downloads/2ead993c41b4ada6593445c4bd948d16/plot_connectivity_between_standard_rsns.ipynb b/docs/build/html/_downloads/2ead993c41b4ada6593445c4bd948d16/plot_connectivity_between_standard_rsns.ipynb new file mode 100644 index 00000000..ad45c549 --- /dev/null +++ b/docs/build/html/_downloads/2ead993c41b4ada6593445c4bd948d16/plot_connectivity_between_standard_rsns.ipynb @@ -0,0 +1,43 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\nModified MNE-Python example script to show connectivity between standard\nresting state network labels obtained from [1].\n\n[1] P. Garc\u00e9s, M. C. Mart\u00edn-Buro, and F. Maest\u00fa,\n\u201cQuantifying the Test-Retest Reliability of Magnetoencephalography\nResting-State Functional Connectivity,\u201d Brain Connect., vol. 6, no. 6, pp.\n448\u2013460, 2016.\n\nAuthor: Praveen sripad \n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import os.path as op\n\nimport numpy as np\nimport matplotlib.pyplot as plt\n\nimport mne\nfrom mne.datasets import sample\nfrom mne.minimum_norm import apply_inverse_epochs, read_inverse_operator\nfrom mne.viz import circular_layout\n\nfrom mne_connectivity import spectral_connectivity_epochs\nfrom mne_connectivity.viz import plot_connectivity_circle\n\ndata_path = sample.data_path()\nsubjects_dir = op.join(data_path, 'subjects')\nfname_inv = op.join(data_path, 'MEG/sample/sample_audvis-meg-oct-6-meg-inv.fif')\nfname_raw = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw.fif')\nfname_event = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw-eve.fif')\n\n# Load data\ninverse_operator = read_inverse_operator(fname_inv)\nraw = mne.io.read_raw_fif(fname_raw)\nevents = mne.read_events(fname_event)\n\n# Add a bad channel\nraw.info['bads'] += ['MEG 2443']\n\n# Pick MEG channels\npicks = mne.pick_types(raw.info, meg=True, eeg=False, stim=False, eog=True,\n exclude='bads')\n\n# Define epochs for left-auditory condition\nevent_id, tmin, tmax = 1, -0.2, 0.5\nepochs = mne.Epochs(raw, events, event_id, tmin, tmax, picks=picks,\n baseline=(None, 0), reject=dict(mag=4e-12, grad=4000e-13,\n eog=150e-6))\nif not epochs.preload:\n epochs.load_data()\n\n# Compute inverse solution and for each epoch. By using \"return_generator=True\"\n# stcs will be a generator object instead of a list.\nsnr = 1.0 # use lower SNR for single epochs\nlambda2 = 1.0 / snr ** 2\nmethod = \"MNE\" # use dSPM method (could also be MNE or sLORETA)\nstcs = apply_inverse_epochs(epochs, inverse_operator, lambda2, method,\n pick_ori=\"normal\", return_generator=True)\n\n# Get labels for FreeSurfer 'aparc' cortical parcellation with 34 labels/hemi\nlabels = mne.read_labels_from_annot('sample', parc='standard_garces_2016',\n subjects_dir=subjects_dir)\nlabels = [lab for lab in labels if not lab.name.startswith('unknown')]\nlabel_colors = [label.color for label in labels]\n\n# Average the source estimates within each label using sign-flips to reduce\n# signal cancellations, also here we return a generator\nsrc = inverse_operator['src']\nlabel_ts = mne.extract_label_time_course(stcs, labels, src, mode='mean_flip',\n return_generator=True)\n\nfmin = 8.\nfmax = 13.\nsfreq = raw.info['sfreq'] # the sampling frequency\ncon_methods = ['coh', 'wpli']\ncon = spectral_connectivity_epochs(\n label_ts, method=con_methods, mode='multitaper', sfreq=sfreq, fmin=fmin,\n fmax=fmax, faverage=True, mt_adaptive=True, n_jobs=4)\n\n# con is a 3D array, get the connectivity for the first (and only) freq. band\n# for each method\ncon_res = dict()\nfor method, c in zip(con_methods, con):\n con_res[method] = c.get_data(output='dense')[:, :, 0]\n\n# Now, we visualize the connectivity using a circular graph layout\n# First, we reorder the labels based on their location in the left hemi\nlabel_names = [label.name for label in labels]\n\nfrom jumeg import get_jumeg_path\nyaml_fname = get_jumeg_path() + '/data/standard_garces_rsns_grouping.yaml'\n\nimport yaml\nwith open(yaml_fname, 'r') as f:\n xlabels = yaml.safe_load(f)\n\n# the yaml file has been hand curated to follow the same order as label_names\n# if not the node order has to be changed appropriately\nnode_order = list()\nnode_order.extend(label_names)\n\ngroup_bound = [len(list(key.values())[0]) for key in xlabels]\ngroup_bound = [0] + group_bound\ngroup_boundaries = [sum(group_bound[:i+1]) for i in range(len(group_bound))]\ngroup_boundaries.pop()\n\nrsn_colors = ['m', 'b', 'y', 'c', 'r', 'g', 'w']\n\ngroup_bound.pop(0)\nlabel_colors = []\nfor ind, rep in enumerate(group_bound):\n label_colors += [rsn_colors[ind]] * rep\nassert len(label_colors) == len(node_order), 'Number of colours do not match'\n\nfrom mne.viz.circle import circular_layout\nnode_angles = circular_layout(label_names, label_names, start_pos=90,\n group_boundaries=group_boundaries)\n\n# Plot the graph using node colors from the FreeSurfer parcellation.\nplot_connectivity_circle(con_res['wpli'], label_names, n_lines=300,\n node_angles=node_angles, node_colors=label_colors,\n title='Connectivity between standard RSNs')\n# plt.savefig('circle.png', facecolor='black')" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/docs/build/html/_downloads/2f0e0e87a402c26c0b09b92a92c5a6d4/plot_degree_circle.py b/docs/build/html/_downloads/2f0e0e87a402c26c0b09b92a92c5a6d4/plot_degree_circle.py new file mode 100644 index 00000000..e630c044 --- /dev/null +++ b/docs/build/html/_downloads/2f0e0e87a402c26c0b09b92a92c5a6d4/plot_degree_circle.py @@ -0,0 +1,32 @@ +#!/usr/bin/env python + +''' +============= +Plot degree circle +============= + +Plot degree values for a given set of nodes in a simple circle plot. +''' + +import os.path as op +import numpy as np +import matplotlib.pyplot as plt + +import mne +from mne_connectivity import degree +from jumeg import get_jumeg_path +from jumeg.connectivity import plot_degree_circle + +import bct + +orig_labels_fname = op.join(get_jumeg_path(), 'data/desikan_label_names.yaml') +yaml_fname = op.join(get_jumeg_path(), 'data/desikan_aparc_cortex_based_grouping.yaml') +con_fname = op.join(get_jumeg_path(), 'data/sample,aparc-con.npy') + +con = np.load(con_fname) +con_ = con[0, :, :, 2] + con[0, :, :, 2].T + +# compute the degree +degrees = degree(con_, threshold_prop=0.2) + +fig, ax = plot_degree_circle(degrees, yaml_fname, orig_labels_fname) diff --git a/docs/build/html/_downloads/30323af8a5a552a5eaf919de8c797495/plot_test_transform_mni_to_ras.py b/docs/build/html/_downloads/30323af8a5a552a5eaf919de8c797495/plot_test_transform_mni_to_ras.py new file mode 100644 index 00000000..ac4b47fe --- /dev/null +++ b/docs/build/html/_downloads/30323af8a5a552a5eaf919de8c797495/plot_test_transform_mni_to_ras.py @@ -0,0 +1,57 @@ +""" +To plot a vertex point, convert it to MNI coordinates and then reconvert it back to RAS to obtain the vertex number. + +It works when 'fsaverage' subject is used, but does not when any other subjects are used. +""" + +import os +import os.path as op +import mne +from mne.datasets import sample +from surfer import utils + +print(__doc__) + +data_path = sample.data_path() +fname_inv = op.join(data_path, 'MEG/sample/sample_audvis-meg-oct-6-meg-inv.fif') +fname_evoked = op.join(data_path, 'MEG/sample/sample_audvis-ave.fif') +subjects_dir = op.join(data_path, 'subjects') +os.environ['SUBJECTS_DIR'] = subjects_dir + +stc_fname = op.join(data_path, 'MEG/sample/sample_audvis-meg') +stc = mne.read_source_estimate(stc_fname) + +morph = mne.compute_source_morph(stc, subject_from='sample', + subject_to='fsaverage', spacing=5, subjects_dir=subjects_dir) +new_stc = morph.apply(stc) + +subject = 'fsaverage' + +# Plot brain in 3D with PySurfer if available +brain = new_stc.plot(subject, hemi='lh', + subjects_dir=subjects_dir, backend='pyvistaqt') +brain.show_view('lateral') + +# use peak getter to move vizualization to the time point of the peak +vertno_max, time_idx = new_stc.get_peak(hemi='lh', time_as_index=True) + +brain.set_time_point(time_idx) + +# draw marker at maximum peaking vertex +brain.add_foci(vertno_max, coords_as_verts=True, hemi='lh', color='blue', + scale_factor=0.6, map_surface='white') + +mni_coords = mne.vertex_to_mni(vertno_max, hemis=0, subject=subject, + subjects_dir=subjects_dir) +print('The MNI coords are ', mni_coords) + +# my_trans = mne.read_trans(?) +# src_pts = apply_trans(trans, some_tgt_pts) + +utils.coord_to_label(subject, mni_coords, label='mycoord', + hemi='lh', n_steps=25, map_surface="white") +brain.add_label('mycoord-lh.label', color="darkseagreen", alpha=.8) + +# if the new mni_coords are computed +brain.add_foci(mni_coords, coords_as_verts=False, hemi='lh', + color='red', scale_factor=0.6) diff --git a/docs/build/html/_downloads/314892b76c9227ed158db61e71b36cf2/plot_generate_surrogate_stcs.ipynb b/docs/build/html/_downloads/314892b76c9227ed158db61e71b36cf2/plot_generate_surrogate_stcs.ipynb new file mode 100644 index 00000000..f8f5f52f --- /dev/null +++ b/docs/build/html/_downloads/314892b76c9227ed158db61e71b36cf2/plot_generate_surrogate_stcs.ipynb @@ -0,0 +1,43 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# Generate surrogate STCs\n\n\nExample to show surrogate generation on STCs using the jumeg Surrogates\nmodule.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import os.path as op\nimport numpy as np\nimport matplotlib.pyplot as pl\n\nfrom mne.datasets import sample\nfrom mne.minimum_norm import read_inverse_operator, apply_inverse_epochs\nimport mne\n\nfrom jumeg.jumeg_surrogates import Surrogates, check_power_spectrum\n\ndata_path = sample.data_path()\nsubjects_dir = op.join(data_path, 'subjects')\n\nfname_inv = op.join(data_path, 'MEG/sample/sample_audvis-meg-oct-6-meg-inv.fif')\nfname_raw = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw.fif')\nfname_event = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw-eve.fif')\n\nstcs_testing = True\n\nraw = mne.io.read_raw_fif(fname_raw)\nevents = mne.read_events(fname_event)\ninverse_operator = read_inverse_operator(fname_inv)\n\n# add a bad channel\nraw.info['bads'] += ['MEG 2443']\n\n# pick MEG channels\npicks = mne.pick_types(raw.info, meg=True, eeg=False, stim=False, eog=False,\n exclude='bads')\n\n# define epochs for left-auditory condition\nevent_id, tmin, tmax = 1, -0.2, 0.5\nepochs = mne.Epochs(raw, events, event_id, tmin, tmax, picks=picks,\n baseline=(None, 0), reject=dict(mag=4e-12, grad=4000e-13))\n\n\nsnr = 1.0 # use lower SNR for single epochs\nlambda2 = 1.0 / snr ** 2\nmethod = \"dSPM\" # use dSPM method (could also be MNE or sLORETA)\nstcs = apply_inverse_epochs(epochs, inverse_operator, lambda2, method,\n pick_ori=\"normal\", return_generator=False)\n\n# compute surrogates for one STC\nsurr_stcs = Surrogates(stcs[0])\nmysurr = surr_stcs.compute_surrogates(n_surr=10, return_generator=False)\n\n# check if surrogates are correctly computed\nassert not np.array_equal(mysurr[0].data,\n mysurr[1].data), 'Surrogates mostly equal'\nassert not np.array_equal(stcs[0].data,\n mysurr[2].data), 'Surrogates equal to original'\n\n# visualize results by plotting 1 the average across voxels\n# of original and surrogate STC\npl.plot(stcs[0].data.mean(axis=0))\nfor i in mysurr:\n pl.plot(i.data.mean(axis=0), color='r')\npl.title('Averaged real vs surrogate source time courses')\npl.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/docs/build/html/_downloads/32e63256705a22009f3d3ad7527dd8d3/plot_perform_mft_surface.ipynb b/docs/build/html/_downloads/32e63256705a22009f3d3ad7527dd8d3/plot_perform_mft_surface.ipynb new file mode 100644 index 00000000..f16322e5 --- /dev/null +++ b/docs/build/html/_downloads/32e63256705a22009f3d3ad7527dd8d3/plot_perform_mft_surface.ipynb @@ -0,0 +1,43 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# Jumeg MFT example.\n\nPerform MFT on a surface based forward solution.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import os\nimport os.path as op\nimport numpy as np\n\nimport mne\nfrom mne.datasets import sample\n\nfrom jumeg.mft import apply_mft\nfrom jumeg.mft import jumeg_mft_plot\n\ndata_path = sample.data_path()\nsubject = 'sample'\nsubjects_dir = op.join(data_path, 'subjects')\nfwdname = op.join(data_path, 'MEG/sample/sample_audvis-meg-oct-6-fwd.fif')\nlblname = 'aparc'\nevoname = op.join(data_path, 'MEG/sample/sample_audvis-ave.fif')\nevocondition = 'Left Auditory'\nrawname = op.join(data_path, 'MEG/sample/sample_audvis_10s-raw.fif')\nt1_fname = op.join(subjects_dir, 'sample/mri/T1.mgz')\n\n# Set up pick list: MEG - bad channels\nwant_meg = 'mag'\nwant_ref = False\nwant_eeg = False\nwant_stim = False\nexclude = 'bads'\ninclude = []\n\nprint(\"########## MFT parameters:\")\n# mftpar = { 'prbfct':'Gauss',\n# 'prbcnt':np.array([[-1.039, 0.013,0.062],[-0.039, 0.013,0.062]]),\n# 'prbhw':np.array([[0.040,0.040,0.040],[0.040,0.040,0.040]]) }\nmftpar = {'prbfct': 'uniform',\n 'prbcnt': None,\n 'prbhw': None}\nmftpar.update({'iter': 2, 'currexp': 1.0})\nmftpar.update({'regtype': 'PzetaE', 'zetareg': 1.00})\n# mftpar.update({ 'regtype':'classic', 'zetareg':1.0})\nmftpar.update({'solver': 'lu', 'svrelcut': 5.e-4})\n\nprint(\"mftpar['prbcnt' ] = \", mftpar['prbcnt'])\nprint(\"mftpar['prbhw' ] = \", mftpar['prbhw'])\nprint(\"mftpar['iter' ] = \", mftpar['iter'])\nprint(\"mftpar['regtype' ] = \", mftpar['regtype'])\nprint(\"mftpar['zetareg' ] = \", mftpar['zetareg'])\nprint(\"mftpar['solver' ] = \", mftpar['solver'])\nprint(\"mftpar['svrelcut'] = \", mftpar['svrelcut'])\ncdmcut = 0.10\nprint(\"cdmcut = \", cdmcut)\n\nprint(\"########## get labels:\")\nif lblname is not None:\n labels = mne.read_labels_from_annot(subject, parc=lblname,\n subjects_dir=subjects_dir)\nelse:\n labels = None\n\nprint(\"##########################\")\nprint(\"##### Calling apply_mft()\")\nprint(\"##########################\")\nfwd = mne.read_forward_solution(fwdname, verbose=True)\nfwdspec = mne.io.pick.pick_types_forward(fwd, meg=want_meg, ref_meg=False,\n eeg=False, exclude=exclude)\ndataspec = mne.read_evokeds(evoname, condition=evocondition,\n baseline=(None, 0), verbose=True)\nfwdmag, qualmft, stc_mft = apply_mft(fwdspec, dataspec, evocondition=evocondition,\n subject=subject, meg=want_meg, save_stc=False,\n calccdm='all', cdmcut=cdmcut, cdmlabels=labels,\n mftpar=mftpar, verbose='verbose')\n\nevo = mne.read_evokeds(evoname, condition=evocondition, baseline=(None, 0))\ntmin = -0.2\ntstep = 1. / evo.info['sfreq']\n\nstcdata = stc_mft.data\n\nprint(\" \")\nprint(\"########## Some geo-numbers:\")\nlhinds = np.where(fwdmag['source_rr'][:, 0] <= 0.)\nrhinds = np.where(fwdmag['source_rr'][:, 0] > 0.)\nprint(\"> Discriminating lh/rh by sign of fwdmag['source_rr'][:,0]:\")\nprint(\"> lhinds[0].shape[0] = \", lhinds[0].shape[0], \" rhinds[0].shape[0] = \", rhinds[0].shape[0])\ninvmri_head_t = mne.transforms.invert_transform(fwdmag['info']['mri_head_t'])\nmrsrc = np.zeros(fwdmag['source_rr'].shape)\nmrsrc = mne.transforms.apply_trans(invmri_head_t['trans'], fwdmag['source_rr'], move=True)\nlhmrinds = np.where(mrsrc[:, 0] <= 0.)\nrhmrinds = np.where(mrsrc[:, 0] > 0.)\nprint(\"> Discriminating lh/rh by sign of fwdmag['source_rr'][:,0] in MR coords:\")\nprint(\"> lhmrinds[0].shape[0] = \", lhmrinds[0].shape[0], \" rhmrinds[0].shape[0] = \", rhmrinds[0].shape[0])\n\n# plotting routines\njumeg_mft_plot.plot_global_cdv_dist(stcdata)\njumeg_mft_plot.plot_visualize_mft_sources(fwdmag, stcdata, tmin=tmin, tstep=tstep,\n subject=subject, subjects_dir=subjects_dir)\njumeg_mft_plot.plot_cdv_distribution(fwdmag, stcdata)\njumeg_mft_plot.plot_max_amplitude_data(fwdmag, stcdata, tmin=tmin, tstep=tstep,\n subject=subject)\njumeg_mft_plot.plot_max_cdv_data(stc_mft, lhmrinds, rhmrinds)\njumeg_mft_plot.plot_cdvsum_data(stc_mft, lhmrinds, rhmrinds)\njumeg_mft_plot.plot_quality_data(qualmft, stc_mft)\njumeg_mft_plot.plot_cdm_data(qualmft, stc_mft, cdmlabels=labels)\njumeg_mft_plot.plot_jlong_labeldata(qualmft, stc_mft, labels)\njumeg_mft_plot.plot_jtotal_labeldata(qualmft, stc_mft, labels)\n\njumeg_mft_plot.plot_jlong_data(qualmft, stc_mft)\n\nprint(\"Done.\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/docs/build/html/_downloads/33957b832997ae6a669523320859666a/plot_causality_circle.ipynb b/docs/build/html/_downloads/33957b832997ae6a669523320859666a/plot_causality_circle.ipynb new file mode 100644 index 00000000..a2ceb773 --- /dev/null +++ b/docs/build/html/_downloads/33957b832997ae6a669523320859666a/plot_causality_circle.ipynb @@ -0,0 +1,43 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# Plot Causality Matrix\n\nExample showing how to plot a causality matrix on a circle plot.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import numpy as np\n\nfrom jumeg import get_jumeg_path\nfrom jumeg.connectivity import plot_grouped_causality_circle\nimport yaml\n\n# load the yaml grouping of Freesurfer labels\nyaml_fname = get_jumeg_path() + '/data/desikan_aparc_cortex_based_grouping.yaml'\nlabels_fname = get_jumeg_path() + '/data/desikan_label_names.yaml'\nreplacer_dict_fname = get_jumeg_path() + '/data/replacer_dictionaries.yaml'\n\nwith open(labels_fname, 'r') as f:\n label_names = yaml.safe_load(f)['label_names']\n\nwith open(replacer_dict_fname, 'r') as f:\n replacer_dict = yaml.safe_load(f)['replacer_dict_aparc']\n\n# make a random causality matrix\nn_nodes = 68 # currently needs to be always this number\ncaus = np.random.random((n_nodes, n_nodes))\ncaus[np.diag_indices_from(caus)] = 0.\ncaus[caus < 0.7] = 0.\n\nplot_grouped_causality_circle(caus, yaml_fname, label_names, n_lines=10,\n labels_mode='replace', replacer_dict=replacer_dict,\n out_fname='fig_causality_circle.png',\n colormap='Blues', colorbar=True,\n figsize=(6, 6), show=False,\n arrowstyle='->,head_length=1,head_width=1')" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/docs/build/html/_downloads/360c840f05a6327fac8f545530641677/plot_noise_reducer.ipynb b/docs/build/html/_downloads/360c840f05a6327fac8f545530641677/plot_noise_reducer.ipynb new file mode 100644 index 00000000..306883ed --- /dev/null +++ b/docs/build/html/_downloads/360c840f05a6327fac8f545530641677/plot_noise_reducer.ipynb @@ -0,0 +1,43 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# Plot noise reducer\n\nScript to show the application of noise reducer on jusample data.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import os\nimport os.path as op\nimport numpy as np\nimport matplotlib.pyplot as plt\nfrom jumeg.jumeg_noise_reducer import noise_reducer\n\nimport mne\n\nplt.ion()\n\n# load the jumeg sample data (has to be BTI)\nif os.environ.get('JUSAMPLE_MEG_PATH'):\n data_dir = os.environ['JUSAMPLE_MEG_PATH']\nelse:\n print('Data unavailable, skipping.')\n sys.exit()\n\nsubject = '207184'\nraw_fname = op.join(data_dir, 'recordings', subject,\n 'sample_207184_rest_EC-raw.fif')\n\nraw = mne.io.Raw(raw_fname, preload=True)\n\nfig, (ax1, ax2, ax3, ax4, ax5) = plt.subplots(5, 1, sharex=True, sharey=True)\n\npicks = mne.pick_types(raw.info, meg='mag', exclude='bads')\nraw.plot_psd(fmin=0., fmax=100., tmin=None, tmax=60.,\n n_fft=None, picks=picks, ax=ax1);\nax1.set_title('Original')\n\n# notch filter\nraw_notch = raw.copy().notch_filter(np.arange(50, 251, 50), picks=picks,\n filter_length='auto',\n notch_widths=None, n_jobs=4, method='fir',\n phase='zero-double',\n fir_window='hamming', fir_design='firwin')\nraw_notch.plot_psd(fmin=0., fmax=100., tmin=None, tmax=60.,\n n_fft=None, picks=picks, ax=ax2);\nax2.set_title('Notch filter 50Hz applied')\n\n# powerline removal using noise_reducer\nraw_nr_notch = noise_reducer(raw_fname, raw=raw.copy(), detrending=False,\n reflp=None, refhp=None, refnotch=[50., 100., 150.],\n return_raw=True, verbose=False)\nraw_nr_notch.plot_psd(fmin=0., fmax=100., tmin=None, tmax=60.,\n n_fft=None, picks=picks, ax=ax3);\nax3.set_title('Noise reducer notch filter 50Hz applied')\n\n\n# remove high freq noise (>0.1Hz) from ref channels\nraw_nr2 = noise_reducer(raw_fname, raw=raw_nr_notch, detrending=False,\n reflp=None, refhp=0.1, refnotch=None,\n return_raw=True, verbose=False)\nraw_nr2.plot_psd(fmin=0., fmax=100., tmin=None, tmax=60.,\n n_fft=None, picks=picks, ax=ax4);\nax4.set_title('Noise reducer high pass filtered 0.1Hz')\n\n# remove low freq noise (<5Hz) from ref channels\nraw_nr = noise_reducer(raw_fname, raw=raw_nr2, detrending=False,\n reflp=5., refhp=None, refnotch=None,\n return_raw=True, verbose=False)\nraw_nr.plot_psd(fmin=0., fmax=100., tmin=None, tmax=60.,\n n_fft=None, picks=picks, ax=ax5);\nax5.set_title('Noise reducer low pass filtered 5Hz')\n\nplt.tight_layout()\nplt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/docs/build/html/_downloads/39b0f1d0381e68fb8eadecc32fb37b10/plot_perform_mft_surface.py b/docs/build/html/_downloads/39b0f1d0381e68fb8eadecc32fb37b10/plot_perform_mft_surface.py new file mode 100644 index 00000000..2521fe43 --- /dev/null +++ b/docs/build/html/_downloads/39b0f1d0381e68fb8eadecc32fb37b10/plot_perform_mft_surface.py @@ -0,0 +1,115 @@ +""" +==================== +Jumeg MFT example. +==================== + +Perform MFT on a surface based forward solution. +""" + +import os +import os.path as op +import numpy as np + +import mne +from mne.datasets import sample + +from jumeg.mft import apply_mft +from jumeg.mft import jumeg_mft_plot + +data_path = sample.data_path() +subject = 'sample' +subjects_dir = op.join(data_path, 'subjects') +fwdname = op.join(data_path, 'MEG/sample/sample_audvis-meg-oct-6-fwd.fif') +lblname = 'aparc' +evoname = op.join(data_path, 'MEG/sample/sample_audvis-ave.fif') +evocondition = 'Left Auditory' +rawname = op.join(data_path, 'MEG/sample/sample_audvis_10s-raw.fif') +t1_fname = op.join(subjects_dir, 'sample/mri/T1.mgz') + +# Set up pick list: MEG - bad channels +want_meg = 'mag' +want_ref = False +want_eeg = False +want_stim = False +exclude = 'bads' +include = [] + +print("########## MFT parameters:") +# mftpar = { 'prbfct':'Gauss', +# 'prbcnt':np.array([[-1.039, 0.013,0.062],[-0.039, 0.013,0.062]]), +# 'prbhw':np.array([[0.040,0.040,0.040],[0.040,0.040,0.040]]) } +mftpar = {'prbfct': 'uniform', + 'prbcnt': None, + 'prbhw': None} +mftpar.update({'iter': 2, 'currexp': 1.0}) +mftpar.update({'regtype': 'PzetaE', 'zetareg': 1.00}) +# mftpar.update({ 'regtype':'classic', 'zetareg':1.0}) +mftpar.update({'solver': 'lu', 'svrelcut': 5.e-4}) + +print("mftpar['prbcnt' ] = ", mftpar['prbcnt']) +print("mftpar['prbhw' ] = ", mftpar['prbhw']) +print("mftpar['iter' ] = ", mftpar['iter']) +print("mftpar['regtype' ] = ", mftpar['regtype']) +print("mftpar['zetareg' ] = ", mftpar['zetareg']) +print("mftpar['solver' ] = ", mftpar['solver']) +print("mftpar['svrelcut'] = ", mftpar['svrelcut']) +cdmcut = 0.10 +print("cdmcut = ", cdmcut) + +print("########## get labels:") +if lblname is not None: + labels = mne.read_labels_from_annot(subject, parc=lblname, + subjects_dir=subjects_dir) +else: + labels = None + +print("##########################") +print("##### Calling apply_mft()") +print("##########################") +fwd = mne.read_forward_solution(fwdname, verbose=True) +fwdspec = mne.io.pick.pick_types_forward(fwd, meg=want_meg, ref_meg=False, + eeg=False, exclude=exclude) +dataspec = mne.read_evokeds(evoname, condition=evocondition, + baseline=(None, 0), verbose=True) +fwdmag, qualmft, stc_mft = apply_mft(fwdspec, dataspec, evocondition=evocondition, + subject=subject, meg=want_meg, save_stc=False, + calccdm='all', cdmcut=cdmcut, cdmlabels=labels, + mftpar=mftpar, verbose='verbose') + +evo = mne.read_evokeds(evoname, condition=evocondition, baseline=(None, 0)) +tmin = -0.2 +tstep = 1. / evo.info['sfreq'] + +stcdata = stc_mft.data + +print(" ") +print("########## Some geo-numbers:") +lhinds = np.where(fwdmag['source_rr'][:, 0] <= 0.) +rhinds = np.where(fwdmag['source_rr'][:, 0] > 0.) +print("> Discriminating lh/rh by sign of fwdmag['source_rr'][:,0]:") +print("> lhinds[0].shape[0] = ", lhinds[0].shape[0], " rhinds[0].shape[0] = ", rhinds[0].shape[0]) +invmri_head_t = mne.transforms.invert_transform(fwdmag['info']['mri_head_t']) +mrsrc = np.zeros(fwdmag['source_rr'].shape) +mrsrc = mne.transforms.apply_trans(invmri_head_t['trans'], fwdmag['source_rr'], move=True) +lhmrinds = np.where(mrsrc[:, 0] <= 0.) +rhmrinds = np.where(mrsrc[:, 0] > 0.) +print("> Discriminating lh/rh by sign of fwdmag['source_rr'][:,0] in MR coords:") +print("> lhmrinds[0].shape[0] = ", lhmrinds[0].shape[0], " rhmrinds[0].shape[0] = ", rhmrinds[0].shape[0]) + +# plotting routines +jumeg_mft_plot.plot_global_cdv_dist(stcdata) +jumeg_mft_plot.plot_visualize_mft_sources(fwdmag, stcdata, tmin=tmin, tstep=tstep, + subject=subject, subjects_dir=subjects_dir) +jumeg_mft_plot.plot_cdv_distribution(fwdmag, stcdata) +jumeg_mft_plot.plot_max_amplitude_data(fwdmag, stcdata, tmin=tmin, tstep=tstep, + subject=subject) +jumeg_mft_plot.plot_max_cdv_data(stc_mft, lhmrinds, rhmrinds) +jumeg_mft_plot.plot_cdvsum_data(stc_mft, lhmrinds, rhmrinds) +jumeg_mft_plot.plot_quality_data(qualmft, stc_mft) +jumeg_mft_plot.plot_cdm_data(qualmft, stc_mft, cdmlabels=labels) +jumeg_mft_plot.plot_jlong_labeldata(qualmft, stc_mft, labels) +jumeg_mft_plot.plot_jtotal_labeldata(qualmft, stc_mft, labels) + +jumeg_mft_plot.plot_jlong_data(qualmft, stc_mft) + +print("Done.") diff --git a/docs/build/html/_downloads/3c67b6f91f0cf2029ca171963f358cab/plot_labelled_connectivity_circle.ipynb b/docs/build/html/_downloads/3c67b6f91f0cf2029ca171963f358cab/plot_labelled_connectivity_circle.ipynb new file mode 100644 index 00000000..b1a3d01b --- /dev/null +++ b/docs/build/html/_downloads/3c67b6f91f0cf2029ca171963f358cab/plot_labelled_connectivity_circle.ipynb @@ -0,0 +1,43 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# Plot labelled connectivity circle\n\nExample exposing the plot_labelled_group_connectivity_circle function.\n\nAuthor: Praveen Sripad \n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import os.path as op\nfrom jumeg.connectivity import (plot_labelled_group_connectivity_circle,\n generate_random_connectivity_matrix)\nfrom jumeg import get_jumeg_path\nimport yaml\n\n# load the yaml grouping of Freesurfer labels\nyaml_fname = op.join(get_jumeg_path(), 'data/rsn_desikan_aparc_cortex_grouping.yaml')\nlabel_names_yaml_fname = op.join(get_jumeg_path(), 'data/desikan_label_names.yaml')\n\nwith open(label_names_yaml_fname, 'r') as f:\n label_names = yaml.safe_load(f)['label_names']\n\n# make a random matrix with 68 nodes\ncon = generate_random_connectivity_matrix(size=(68, 68), symmetric=True)\n\n# plotting within a subplot\nplot_labelled_group_connectivity_circle(yaml_fname, con, label_names,\n out_fname='fig_rsn_circle.png',\n show=False, n_lines=20,\n fontsize_names=6,\n title='test RSN circ labels')" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/docs/build/html/_downloads/3c7a4ed9e3829176ce3989bcf05ecfed/plot_generic_grouped_connectivity_circle.ipynb b/docs/build/html/_downloads/3c7a4ed9e3829176ce3989bcf05ecfed/plot_generic_grouped_connectivity_circle.ipynb new file mode 100644 index 00000000..00cc9f62 --- /dev/null +++ b/docs/build/html/_downloads/3c7a4ed9e3829176ce3989bcf05ecfed/plot_generic_grouped_connectivity_circle.ipynb @@ -0,0 +1,43 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# Generic Grouped Connectivity Circle\n\nScript exposing circle plots with outer ring.\n\nAuthor: Praveen Sripad \n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import os.path as op\nfrom jumeg.connectivity import (plot_generic_grouped_circle,\n plot_fica_grouped_circle,\n generate_random_connectivity_matrix)\nfrom jumeg import get_jumeg_path\n\n# load the yaml grouping of Freesurfer labels\nyaml_fname = op.join(get_jumeg_path(), 'data/rsn_desikan_aparc_cortex_grouping.yaml')\n\n# make a random matrix\ncon = generate_random_connectivity_matrix(size=(34, 34), symmetric=True)\n\n# load the label names in the original order\n# this should be same order as the connectivity matrix\nlabels_fname = op.join(get_jumeg_path(), 'data/fica_names.txt')\nwith open(labels_fname, 'r') as f:\n orig_labels = [line.rstrip('\\n') for line in f]\n\n# plot the connectivity circle grouped\nplot_generic_grouped_circle(yaml_fname, con, orig_labels,\n node_order_size=34,\n out_fname='fig_fica_circle.png',\n show=False, n_lines=20,\n title='Groups')\n\n# plot the connectivity circle with outer group labels ring\nplot_fica_grouped_circle(yaml_fname, con, orig_labels,\n node_order_size=34,\n out_fname='fig_fica_circle_with_names.png',\n show=False, n_lines=20,\n title='Groups + Labels')" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/docs/build/html/_downloads/3e04c82ff2ffa8cefb954f9ce5a38925/plot_rank_estimation.ipynb b/docs/build/html/_downloads/3e04c82ff2ffa8cefb954f9ce5a38925/plot_rank_estimation.ipynb new file mode 100644 index 00000000..a5ae1723 --- /dev/null +++ b/docs/build/html/_downloads/3e04c82ff2ffa8cefb954f9ce5a38925/plot_rank_estimation.ipynb @@ -0,0 +1,43 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# Plot rank estimation\n\nExample script to estimate the rank of the given data array.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import os.path as op\nimport mne\nimport numpy as np\nfrom mne.datasets import sample\nfrom sklearn.decomposition import PCA\nimport matplotlib.pyplot as plt\nfrom matplotlib import cm\nfrom jumeg.jumeg_utils import rank_estimation\nfrom jumeg.decompose.dimension_selection import mibs, bic, gap, aic, mdl, explVar, fa_rank_cv, pca_rank_cv\n\n# ----------------------------------------\n# filenames and path\n# ----------------------------------------\ndata_path = sample.data_path()\nsubjects_dir = op.join(data_path, 'subjects')\nfname_raw = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw.fif')\nfname_event = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw-eve.fif')\n\n# ----------------------------------------\n# read data and crop to speedup the process\n# ----------------------------------------\nraw = mne.io.read_raw_fif(fname_raw)\nevents = mne.read_events(fname_event)\n# add a bad channel\nraw.info['bads'] += ['MEG 2443']\n# pick MEG channels\npicks = mne.pick_types(raw.info, meg='mag', eeg=False, stim=False, eog=False,\n exclude='bads')\n# crop data to speed-up process\nraw.crop(tmax=180)\ndata = raw.get_data()[picks, :] # data *= 1e12 will change the results !\n\n# =========================================\n# Method 1:\n# apply various dimension reduction tools\n# to estimate the median of all\n# =========================================\nrank_all, rank_median = rank_estimation(data)\nprint ('\\nRank estimation using methods implemented in jumeg (including whitening)')\nprint('Ranks in order: MIBS, BIC, GAP, AIC, MDL, pct95, pct99: ', rank_all)\nprint('The median of the data is %f\\n' % rank_median)\n\n\n\n# =========================================\n# Method 2:\n# apply a single method for rank estimation\n# using whitening provided by sklearn\n# here we apply all methods separately\n# =========================================\n# perform PCA\npca = PCA(svd_solver='auto', whiten=True)\npc = pca.fit_transform(data.T)\nn_samples, n_features = pc.shape\n\n# rank estimation of a single method\nrank_mibs = mibs(pca.explained_variance_, n_samples) # MIBS\nrank_bic = bic(pca.explained_variance_, n_samples) # BIC\nrank_gap = gap(pca.explained_variance_) # GAP\nrank_aic = aic(pca.explained_variance_) # AIC\nrank_mdl = mdl(pca.explained_variance_) # MDL\nrank_expl95 = explVar(pca.explained_variance_, explainedVar=0.95) # expl. variance (95)\nrank_expl99 = explVar(pca.explained_variance_, explainedVar=0.99) # expl. variance (99)\nlabel_mibs = 'MIBS: n_comp = %d' % (rank_mibs)\nlabel_bic = 'BIC: n_comp = %d' % (rank_bic)\nlabel_gap = 'GAP: n_comp = %d' % (rank_gap)\nlabel_aic = 'AIC: n_comp = %d' % (rank_aic)\nlabel_mdl = 'MDL: n_comp = %d' % (rank_mdl)\nlabel_expl95 = 'expl95: n_comp = %d' % (rank_expl95)\nlabel_expl99 = 'expl99: n_comp = %d' % (rank_expl99)\nprint (label_mibs)\nprint (label_bic)\nprint (label_gap)\nprint (label_aic)\nprint (label_mdl)\nprint (label_expl95)\nprint (label_expl99)\n\n\n# -------------------------------------------\n# Method 3\n# apply rank estimation utilizing cross-validation\n# using PCA and FA scores\n# Note, on normal data sets this will take a long time\n# -------------------------------------------\n# define a list of components to test\n# here we use all components from above and add a few more for testing\nncomp_list = np.unique(np.concatenate([rank_all[rank_all > 0], [40, 50]]))\nncomp_list.sort()\ncv = 5 # depends on data length\nprint ('>>> Please be patient, this might take a while ....')\nprint ('')\n# PCA: test a list of numbers in a cross-validation scenario\nrank_cv_pca = pca_rank_cv(data, ncomp_list, cv=cv, whiten=True)\n\n# FA: test a list of components in a cross-validation scenario\nrank_cv_fa = fa_rank_cv(pc.T, ncomp_list, cv=cv)\n\nlabel_cv_pca = 'PCA (CV=%d): %d' % (cv, rank_cv_pca)\nlabel_cv_fa = 'FA (CV=%d): %d' % (cv, rank_cv_fa)\n\n\n# ----------------------\n# plot results (Scree plot)\n# ----------------------\nlabels = np.array([label_aic, label_bic, label_gap, label_mdl, label_mibs, label_expl95, label_expl99])\ncomps = np.array([rank_aic, rank_bic, rank_gap, rank_mdl, rank_mibs, rank_expl95, rank_expl99])\n# sorting by increasing number of components\nixsort = comps.argsort()\ncomps = comps[ixsort]\nlabels = labels[ixsort]\n\n# components estimated using CV\nlabel_cv = [label_cv_pca, label_cv_fa]\ncomps_cv = [rank_cv_pca, rank_cv_fa]\n\n# plot figure\ncmap = cm.get_cmap('Dark2') # 8 colors\ncolors = cmap.colors[::-1]\nxaxis = np.arange(n_features)+1\nfig = plt.figure(figsize=(10, 6))\nplt.plot(xaxis, np.cumsum(pca.explained_variance_ratio_ * 100), marker='o', color='black')\nplt.title('Scree plot')\nplt.xlabel('# components')\nplt.ylabel('explained variance / %')\n# plot vertical line and label for each method\nmethods = []\nfor i in range(len(comps)):\n if (comps[i] > 0):\n hl = plt.axvline(x=comps[i], color=colors[i], label=labels[i], linestyle='--')\n methods.append(hl)\nlegend1 = plt.legend(handles=methods, loc='lower right')\nax = plt.gca().add_artist(legend1)\n# plot vertical line and label for CV methods\nl1 = plt.axvline(x=comps_cv[0], color='blue', label=label_cv[0], linewidth=3)\nl2 = plt.axvline(x=comps_cv[1], color='red', label=label_cv[1], linewidth=3)\nmethods_cv = [l1,l2]\nlegend2 = plt.legend(handles=methods_cv, loc='center right')" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/docs/build/html/_downloads/3f32aa4be8ec94a294bd9807d4f01edc/plot_rank_estimation.py b/docs/build/html/_downloads/3f32aa4be8ec94a294bd9807d4f01edc/plot_rank_estimation.py new file mode 100644 index 00000000..0e6daec9 --- /dev/null +++ b/docs/build/html/_downloads/3f32aa4be8ec94a294bd9807d4f01edc/plot_rank_estimation.py @@ -0,0 +1,147 @@ +#!/usr/bin/env python +''' +========== +Plot rank estimation +========== + +Example script to estimate the rank of the given data array. +''' + +import os.path as op +import mne +import numpy as np +from mne.datasets import sample +from sklearn.decomposition import PCA +import matplotlib.pyplot as plt +from matplotlib import cm +from jumeg.jumeg_utils import rank_estimation +from jumeg.decompose.dimension_selection import mibs, bic, gap, aic, mdl, explVar, fa_rank_cv, pca_rank_cv + +# ---------------------------------------- +# filenames and path +# ---------------------------------------- +data_path = sample.data_path() +subjects_dir = op.join(data_path, 'subjects') +fname_raw = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw.fif') +fname_event = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw-eve.fif') + +# ---------------------------------------- +# read data and crop to speedup the process +# ---------------------------------------- +raw = mne.io.read_raw_fif(fname_raw) +events = mne.read_events(fname_event) +# add a bad channel +raw.info['bads'] += ['MEG 2443'] +# pick MEG channels +picks = mne.pick_types(raw.info, meg='mag', eeg=False, stim=False, eog=False, + exclude='bads') +# crop data to speed-up process +raw.crop(tmax=180) +data = raw.get_data()[picks, :] # data *= 1e12 will change the results ! + +# ========================================= +# Method 1: +# apply various dimension reduction tools +# to estimate the median of all +# ========================================= +rank_all, rank_median = rank_estimation(data) +print ('\nRank estimation using methods implemented in jumeg (including whitening)') +print('Ranks in order: MIBS, BIC, GAP, AIC, MDL, pct95, pct99: ', rank_all) +print('The median of the data is %f\n' % rank_median) + + + +# ========================================= +# Method 2: +# apply a single method for rank estimation +# using whitening provided by sklearn +# here we apply all methods separately +# ========================================= +# perform PCA +pca = PCA(svd_solver='auto', whiten=True) +pc = pca.fit_transform(data.T) +n_samples, n_features = pc.shape + +# rank estimation of a single method +rank_mibs = mibs(pca.explained_variance_, n_samples) # MIBS +rank_bic = bic(pca.explained_variance_, n_samples) # BIC +rank_gap = gap(pca.explained_variance_) # GAP +rank_aic = aic(pca.explained_variance_) # AIC +rank_mdl = mdl(pca.explained_variance_) # MDL +rank_expl95 = explVar(pca.explained_variance_, explainedVar=0.95) # expl. variance (95) +rank_expl99 = explVar(pca.explained_variance_, explainedVar=0.99) # expl. variance (99) +label_mibs = 'MIBS: n_comp = %d' % (rank_mibs) +label_bic = 'BIC: n_comp = %d' % (rank_bic) +label_gap = 'GAP: n_comp = %d' % (rank_gap) +label_aic = 'AIC: n_comp = %d' % (rank_aic) +label_mdl = 'MDL: n_comp = %d' % (rank_mdl) +label_expl95 = 'expl95: n_comp = %d' % (rank_expl95) +label_expl99 = 'expl99: n_comp = %d' % (rank_expl99) +print (label_mibs) +print (label_bic) +print (label_gap) +print (label_aic) +print (label_mdl) +print (label_expl95) +print (label_expl99) + + +# ------------------------------------------- +# Method 3 +# apply rank estimation utilizing cross-validation +# using PCA and FA scores +# Note, on normal data sets this will take a long time +# ------------------------------------------- +# define a list of components to test +# here we use all components from above and add a few more for testing +ncomp_list = np.unique(np.concatenate([rank_all[rank_all > 0], [40, 50]])) +ncomp_list.sort() +cv = 5 # depends on data length +print ('>>> Please be patient, this might take a while ....') +print ('') +# PCA: test a list of numbers in a cross-validation scenario +rank_cv_pca = pca_rank_cv(data, ncomp_list, cv=cv, whiten=True) + +# FA: test a list of components in a cross-validation scenario +rank_cv_fa = fa_rank_cv(pc.T, ncomp_list, cv=cv) + +label_cv_pca = 'PCA (CV=%d): %d' % (cv, rank_cv_pca) +label_cv_fa = 'FA (CV=%d): %d' % (cv, rank_cv_fa) + + +# ---------------------- +# plot results (Scree plot) +# ---------------------- +labels = np.array([label_aic, label_bic, label_gap, label_mdl, label_mibs, label_expl95, label_expl99]) +comps = np.array([rank_aic, rank_bic, rank_gap, rank_mdl, rank_mibs, rank_expl95, rank_expl99]) +# sorting by increasing number of components +ixsort = comps.argsort() +comps = comps[ixsort] +labels = labels[ixsort] + +# components estimated using CV +label_cv = [label_cv_pca, label_cv_fa] +comps_cv = [rank_cv_pca, rank_cv_fa] + +# plot figure +cmap = cm.get_cmap('Dark2') # 8 colors +colors = cmap.colors[::-1] +xaxis = np.arange(n_features)+1 +fig = plt.figure(figsize=(10, 6)) +plt.plot(xaxis, np.cumsum(pca.explained_variance_ratio_ * 100), marker='o', color='black') +plt.title('Scree plot') +plt.xlabel('# components') +plt.ylabel('explained variance / %') +# plot vertical line and label for each method +methods = [] +for i in range(len(comps)): + if (comps[i] > 0): + hl = plt.axvline(x=comps[i], color=colors[i], label=labels[i], linestyle='--') + methods.append(hl) +legend1 = plt.legend(handles=methods, loc='lower right') +ax = plt.gca().add_artist(legend1) +# plot vertical line and label for CV methods +l1 = plt.axvline(x=comps_cv[0], color='blue', label=label_cv[0], linewidth=3) +l2 = plt.axvline(x=comps_cv[1], color='red', label=label_cv[1], linewidth=3) +methods_cv = [l1,l2] +legend2 = plt.legend(handles=methods_cv, loc='center right') diff --git a/docs/build/html/_downloads/413f5b80f5a0c93ea2f98cd372226a70/plot_brain_connectome.ipynb b/docs/build/html/_downloads/413f5b80f5a0c93ea2f98cd372226a70/plot_brain_connectome.ipynb new file mode 100644 index 00000000..e731e2d7 --- /dev/null +++ b/docs/build/html/_downloads/413f5b80f5a0c93ea2f98cd372226a70/plot_brain_connectome.ipynb @@ -0,0 +1,43 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# Plot brain connectome\n\nPlot connectivity on a glass brain using 'plot_connectome' function from\nNilearn (https://nilearn.github.io/).\n\nAuthor: Praveen Sripad \n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import os.path as op\nimport numpy as np\nimport matplotlib.pyplot as plt\n\nimport mne\nfrom mne.datasets import sample\n\nfrom nilearn import plotting\n\nfrom jumeg.connectivity import generate_random_connectivity_matrix\n\ndata_path = sample.data_path()\nsubjects_dir = op.join(data_path, 'subjects')\nsubject = 'fsaverage'\n\naparc = mne.read_labels_from_annot(subject, subjects_dir=subjects_dir,\n parc='aparc')\n\n# nodes in one hemisphere can be plotted as well\naparc_lh = [lab for lab in aparc if lab.hemi == 'lh']\n\ncoords = []\n\n# plot 10 nodes from left hemisphere only for better viz\nfor lab in aparc_lh[:10]:\n if lab.name == 'unknown-lh':\n continue\n # get the center of mass\n com = lab.center_of_mass('fsaverage')\n # obtain mni coordinated to the vertex from left hemi\n coords_ = mne.vertex_to_mni(com, hemis=0, subject=subject,\n subjects_dir=subjects_dir)\n coords.append(coords_)\n\nn_nodes = np.array(coords).shape[0]\n\n# make a random connectivity matrix\ncon = generate_random_connectivity_matrix(size=(n_nodes, n_nodes),\n symmetric=True)\n\n# plot the connectome on a glass brain background\nplotting.plot_connectome(con, coords)\nplt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/docs/build/html/_downloads/456be38d745b17e2a5ea39eaa0fd0eb1/plot_generic_grouped_connectivity_circle.py b/docs/build/html/_downloads/456be38d745b17e2a5ea39eaa0fd0eb1/plot_generic_grouped_connectivity_circle.py new file mode 100644 index 00000000..8d4e6dc1 --- /dev/null +++ b/docs/build/html/_downloads/456be38d745b17e2a5ea39eaa0fd0eb1/plot_generic_grouped_connectivity_circle.py @@ -0,0 +1,43 @@ +#!/usr/bin/env python3 + +""" +============= +Generic Grouped Connectivity Circle +============= + +Script exposing circle plots with outer ring. + +Author: Praveen Sripad + +""" +import os.path as op +from jumeg.connectivity import (plot_generic_grouped_circle, + plot_fica_grouped_circle, + generate_random_connectivity_matrix) +from jumeg import get_jumeg_path + +# load the yaml grouping of Freesurfer labels +yaml_fname = op.join(get_jumeg_path(), 'data/rsn_desikan_aparc_cortex_grouping.yaml') + +# make a random matrix +con = generate_random_connectivity_matrix(size=(34, 34), symmetric=True) + +# load the label names in the original order +# this should be same order as the connectivity matrix +labels_fname = op.join(get_jumeg_path(), 'data/fica_names.txt') +with open(labels_fname, 'r') as f: + orig_labels = [line.rstrip('\n') for line in f] + +# plot the connectivity circle grouped +plot_generic_grouped_circle(yaml_fname, con, orig_labels, + node_order_size=34, + out_fname='fig_fica_circle.png', + show=False, n_lines=20, + title='Groups') + +# plot the connectivity circle with outer group labels ring +plot_fica_grouped_circle(yaml_fname, con, orig_labels, + node_order_size=34, + out_fname='fig_fica_circle_with_names.png', + show=False, n_lines=20, + title='Groups + Labels') diff --git a/docs/build/html/_downloads/486d9a98fcbfe134cf419c5b5064fe6b/do_MLICA.ipynb b/docs/build/html/_downloads/486d9a98fcbfe134cf419c5b5064fe6b/do_MLICA.ipynb new file mode 100644 index 00000000..535c23d4 --- /dev/null +++ b/docs/build/html/_downloads/486d9a98fcbfe134cf419c5b5064fe6b/do_MLICA.ipynb @@ -0,0 +1,43 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# Do MLICA\n\nCompute ICA object based on filtered and downsampled data.\nIdentify ECG and EOG artifacts using the pre-trained DCNN model\nand compare results using correlation & ctps analysis.\n\nApply ICA object to filtered and unfiltered data.\n\nAhmad Hasasneh, Nikolas Kampel, Praveen Sripad, N. Jon Shah, and Juergen Dammers\n\"Deep Learning Approach for Automatic Classification of Ocular and Cardiac\nArtifacts in MEG Data\"\nJournal of Engineering, vol. 2018, Article ID 1350692,10 pages, 2018.\nhttps://doi.org/10.1155/2018/1350692\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import os.path as op\nimport matplotlib.pylab as plt\nplt.ion()\nimport numpy as np\nimport mne\nfrom jumeg.decompose.ica_replace_mean_std import ICA, ica_update_mean_std\nfrom keras.models import load_model\nfrom jumeg.jumeg_noise_reducer import noise_reducer\nfrom jumeg.jumeg_preprocessing import get_ics_cardiac, get_ics_ocular\nfrom jumeg.jumeg_plot import plot_performance_artifact_rejection\nfrom jumeg.jumeg_utils import get_jumeg_path\n\n# ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\n# settings\n# ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\nmodel_thresh = 0.8 # >0.5 ..0.9\nn_components = 40 # 30 .. 60\nnjobs = 'cuda'\nsfreq_new = 250 # downsampling to 250 Hz\nflow_raw, flow_high = 2, 45 # high pass filter prevents from false positives\nflow_ecg, fhigh_ecg = 8, 20\nflow_eog, fhigh_eog = 1, 20\necg_thresh, eog_thresh = 0.3, 0.3\necg_ch = 'ECG 001'\neog1_ch = 'EOG 001'\neog2_ch = 'EOG 002'\nreject = {'mag': 5e-12}\n\n# number time samples is fixed to 15000\nnsamples_chop = 15000\nix_t1 = 0 # time index: here we use the first chop\nix_t2 = ix_t1 + nsamples_chop\n\n# ----------------------------------------------\n# load DCNN model for artifact rejection\n# the details of the model is provided in:\n# x_validation_shuffle_v4_split_23.txt\n# model was trained on 4D data from Juelich\n# ----------------------------------------------\nmodel_path = op.join(get_jumeg_path(), 'data')\nmodel_name = op.join(model_path, \"dcnn_model.hdf5\")\nmodel = load_model(model_name)\n\n# ----------------------------------------------\n# read example data file\n# ----------------------------------------------\npath_data = '/data/megraid22/Common/DeepLearning/cau_data_validation/'\nraw_fname = op.join(path_data, '109925_CAU01A_100715_0842_2_c,rfDC,t1,n_bcc,nr-raw.fif')\nraw = mne.io.Raw(raw_fname, preload=True)\npicks = mne.pick_types(raw.info, meg=True, eeg=False, eog=False,\n stim=False, exclude='bads')\n\n\n# ----------------------------------------------\n# filtering and down sampling\n# ----------------------------------------------\n# filter prior to ICA\nraw_filtered = raw.copy().filter(flow_raw, flow_high, picks=picks, filter_length='auto',\n l_trans_bandwidth='auto', h_trans_bandwidth='auto',\n n_jobs=njobs, method='fir', phase='zero',\n fir_window='hamming')\n# downsample data\nraw_ds = raw_filtered.copy().resample(sfreq_new, npad='auto', window='boxcar', stim_picks=None,\n n_jobs=njobs, events=None)\n\n# ----------------------------------------------\n# crop data to get first chop\n# ----------------------------------------------\n# get times to crop\ndt = raw_ds.times[1] # time period between two time samples\ntmin = ix_t1 * dt\ntmax = ix_t2 * dt - dt # subtract one sample\n# crop all raw objects\nraw_chop = raw.copy().crop(tmin=tmin, tmax=tmax) # raw\nraw_filtered_chop = raw_filtered.copy().crop(tmin=tmin, tmax=tmax) # raw filtered\nraw_ds_chop = raw_ds.copy().crop(tmin=tmin, tmax=tmax) # raw filtered downsampled\nraw_filtered.close()\n\n# ----------------------------------------------\n# apply ICA\n# ----------------------------------------------\nica = ICA(method='fastica', n_components=n_components, random_state=42,\n max_pca_components=None, max_iter=5000, verbose=None)\n# do the ICA decomposition on downsampled raw\nica.fit(raw_ds_chop, picks=picks, reject=reject, verbose=None)\nsources = ica.get_sources(raw_ds_chop)._data # get sources\nsources = np.reshape(sources, (n_components,nsamples_chop, 1)) # reshape sources\n\n# ----------------------------------------------\n# model prediction\n# identification of artifact components\n# ----------------------------------------------\n# compute base functions\nmm = np.float32(np.dot(ica.mixing_matrix_[:, :ica.n_components_].T,\n ica.pca_components_[:ica.n_components_, :ica.max_pca_components]))\n# get model prediction\nmodel_scores = model.predict([mm, sources], verbose=1)\n# get ICs\nbads_MLICA = list(np.where(model_scores[:,0] > model_thresh)[0])\n\n# ----------------------------------------------\n# order ICs for visualization\n# ----------------------------------------------\nvar_order = sources.std(axis=1).flatten().argsort()[::-1]\ngood_ics = np.setdiff1d(var_order, bads_MLICA)\nic_order = list(np.concatenate([bads_MLICA, good_ics]))\n# store components in ica object\nica.exclude = list(bads_MLICA)\n\n\n# ----------------------------------------------\n# compare MLICA results with correlation and ctps\n# ----------------------------------------------\nprint('Identifying components..')\n# get ECG/EOG related components using JuMEG\nic_ecg = get_ics_cardiac(raw_filtered_chop, ica, flow=flow_ecg, fhigh=fhigh_ecg,\n thresh=ecg_thresh, tmin=-0.5, tmax=0.5,\n name_ecg=ecg_ch, use_CTPS=True)[0] # returns both ICs and scores (take only ICs)\nic_eog = get_ics_ocular(raw_filtered_chop, ica, flow=flow_eog, fhigh=fhigh_eog,\n thresh=eog_thresh, name_eog_hor=eog1_ch,\n name_eog_ver=eog2_ch, score_func='pearsonr')\nbads_corr_ctps = list(ic_ecg) + list(ic_eog)\nbads_corr_ctps = list(set(bads_corr_ctps)) # remove potential duplicates\nbads_corr_ctps.sort()\nprint('Bad components from MLICA:', bads_MLICA)\nprint('Bad components from correlation & ctps:', bads_corr_ctps)\n\n\n# ----------------------------------------------\n# plot results\n# ----------------------------------------------\n# plot sources\nfig = ica.plot_sources(raw_filtered_chop, picks=ic_order, title='MLICA', show=False)\n#fig.savefig('MLICA_ica-sources.png')\n\n# plot artifact rejection performance\nfnout_fig = '109925_CAU01A_100715_0842_2_c,rfDC,0-45hz,ar-perf'\nica_filtered_chop = ica_update_mean_std(raw_filtered_chop, ica, picks=picks, reject=reject)\nraw_filtered_chop_clean = ica_filtered_chop.apply(raw_filtered_chop, exclude=ica.exclude,\n n_pca_components=None)\nica_unfiltered_chop = ica_update_mean_std(raw_chop, ica, picks=picks, reject=reject)\nraw_unfiltered_chop_clean = ica_unfiltered_chop.apply(raw_chop, exclude=ica.exclude, n_pca_components=None)\nplot_performance_artifact_rejection(raw.copy().crop(tmin=tmin, tmax=tmax), ica_unfiltered_chop, fnout_fig,\n meg_clean=raw_unfiltered_chop_clean,\n show=True, verbose=False,\n name_ecg=ecg_ch,\n name_eog=eog2_ch)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/docs/build/html/_downloads/4af84a0c2a4c12d3401d304b19369b0e/plot_compute_epochs_surrogates.py b/docs/build/html/_downloads/4af84a0c2a4c12d3401d304b19369b0e/plot_compute_epochs_surrogates.py new file mode 100644 index 00000000..ab982f6c --- /dev/null +++ b/docs/build/html/_downloads/4af84a0c2a4c12d3401d304b19369b0e/plot_compute_epochs_surrogates.py @@ -0,0 +1,59 @@ +#!/usr/bin/env python + +''' +============= +Surrogate Connectivity Generation +============= + +Example to show surrogate generation on Epochs using the jumeg Surrogates +module. +''' + +import os.path as op +import numpy as np +import matplotlib.pyplot as pl +from mne.datasets import sample +import mne + +from jumeg.jumeg_surrogates import Surrogates, check_power_spectrum + +data_path = sample.data_path() +subjects_dir = op.join(data_path, 'subjects') + +fname_raw = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw.fif') +fname_event = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw-eve.fif') + +epochs_testing = False + +raw = mne.io.read_raw_fif(fname_raw) +events = mne.read_events(fname_event) + +# add a bad channel +raw.info['bads'] += ['MEG 2443'] + +# pick MEG channels +picks = mne.pick_types(raw.info, meg='mag', eeg=False, stim=False, eog=False, + exclude='bads') + +# Define epochs for left-auditory condition +event_id, tmin, tmax = 1, -0.2, 0.5 +epochs = mne.Epochs(raw, events, event_id, tmin, tmax, picks=picks, + baseline=(None, 0), reject=dict(mag=4e-12)) + +# initialize the Surrogates object +surr_epochs = Surrogates(epochs) + +n_surr = 10 # number of surrogates +mode = 'randomize_phase' +mysurr = surr_epochs.compute_surrogates(n_surr=n_surr, + mode=mode, return_generator=False) + +# get one epochs for plotting +# for epochs, a generator is always returned +first_surr_epoch = next(mysurr) + +# visualize surrogates +fig, (ax1, ax2) = pl.subplots(2, 1) +epochs.average().plot(axes=ax1, show=False, titles='Evoked') +first_surr_epoch.average().plot(axes=ax2, show=False, titles='Surrogate Evoked') +pl.show() diff --git a/docs/build/html/_downloads/4bc28a484de6c83cdb79e55e781165d2/plot_perform_mft_volume.ipynb b/docs/build/html/_downloads/4bc28a484de6c83cdb79e55e781165d2/plot_perform_mft_volume.ipynb new file mode 100644 index 00000000..3881bd9a --- /dev/null +++ b/docs/build/html/_downloads/4bc28a484de6c83cdb79e55e781165d2/plot_perform_mft_volume.ipynb @@ -0,0 +1,43 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# Jumeg MFT volume.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import os.path as op\nimport numpy as np\nimport mne\nfrom mne.datasets import sample\nfrom jumeg.mft import (apply_mft, jumeg_mft_plot)\n\ndata_path = sample.data_path()\nsubject = 'sample'\nsubjects_dir = op.join(data_path, 'subjects')\nfwdname = op.join(data_path, 'MEG/sample/sample_audvis-meg-vol-7-fwd.fif')\nevoname = op.join(data_path, 'MEG/sample/sample_audvis-ave.fif')\nevocondition = 'Left Auditory'\nrawname = op.join(data_path, 'MEG/sample/sample_audvis_10s-raw.fif')\nt1_fname = op.join(subjects_dir, 'sample/mri/T1.mgz')\n\n# Set up pick list: MEG - bad channels\nwant_meg = 'mag'\nwant_ref = False\nwant_eeg = False\nwant_stim = False\nexclude = 'bads'\ninclude = []\n\nprint(\"########## MFT parameter:\")\nmftpar = {'prbfct': 'Gauss',\n 'prbcnt': np.array([[-1.039, 0.013, 0.062], [-0.039, 0.013, 0.062]]),\n 'prbhw': np.array([[0.040, 0.040, 0.040], [0.040, 0.040, 0.040]])}\n# mftpar = { 'prbfct': 'uniform',\n# 'prbcnt': None,\n# 'prbhw': None}\nmftpar.update({'iter': 4, 'currexp': 1.0})\nmftpar.update({'regtype': 'PzetaE', 'zetareg': 1.00})\n# mftpar.update({ 'regtype':'classic', 'zetareg':1.0})\nmftpar.update({'solver': 'lu', 'svrelcut': 5.e-4})\n\nprint(\"mftpar['prbcnt' ] = \", mftpar['prbcnt'])\nprint(\"mftpar['prbhw' ] = \", mftpar['prbhw'])\nprint(\"mftpar['iter' ] = \", mftpar['iter'])\nprint(\"mftpar['regtype' ] = \", mftpar['regtype'])\nprint(\"mftpar['zetareg' ] = \", mftpar['zetareg'])\nprint(\"mftpar['solver' ] = \", mftpar['solver'])\nprint(\"mftpar['svrelcut'] = \", mftpar['svrelcut'])\ncdmcut = 0.10\nprint(\"cdmcut = \", cdmcut)\n\nprint(\"##########################\")\nprint(\"##### Read fwd-soln:\")\nprint(\"##########################\")\nfwd = mne.read_forward_solution(fwdname, verbose=True)\n\n# Select magnetometer channels:\nfwdmag = mne.io.pick.pick_types_forward(fwd, meg=want_meg, ref_meg=False,\n eeg=False, exclude=exclude)\n\nprint(\" \")\nprint(\"########## Some geo-numbers:\")\nlhinds = np.where(fwdmag['source_rr'][:, 0] <= 0.)\nrhinds = np.where(fwdmag['source_rr'][:, 0] > 0.)\nypinds = np.where(fwdmag['source_rr'][:, 1] > 0.)\nyninds = np.where(fwdmag['source_rr'][:, 1] <= 0.)\nlhfinds = np.array(np.setdiff1d(lhinds[0], ypinds[0]))\nlhbinds = np.array(np.setdiff1d(lhinds[0], yninds[0]))\nrhfinds = np.array(np.setdiff1d(rhinds[0], ypinds[0]))\nrhbinds = np.array(np.setdiff1d(rhinds[0], yninds[0]))\nprint(\"> Discriminating lh/rh by sign of fwdmag['source_rr'][:,0]:\")\nprint(\"> lhinds[0].shape[0] = \", lhinds[0].shape[0], \" rhinds[0].shape[0] = \", rhinds[0].shape[0])\ninvmri_head_t = mne.transforms.invert_transform(fwdmag['info']['mri_head_t'])\nmrsrc = np.zeros(fwdmag['source_rr'].shape)\nmrsrc = mne.transforms.apply_trans(invmri_head_t['trans'], fwdmag['source_rr'], move=True)\nlhmrinds = np.where(mrsrc[:, 0] <= 0.)\nrhmrinds = np.where(mrsrc[:, 0] > 0.)\nprint(\"> Discriminating lh/rh by sign of fwdmag['source_rr'][:,0] in MR coords:\")\nprint(\"> lhmrinds[0].shape[0] = \", lhmrinds[0].shape[0], \" rhmrinds[0].shape[0] = \", rhmrinds[0].shape[0])\n\nprint(\"########## prepare to put labels into label-files:\")\nmylablist = []\n# mylab = mne.Label(lhinds[0],pos=fwdmag['source_rr'][lhinds[0],:],hemi='lh',name='test_lh', verbose=True)\n# mylablist.append(mylab)\n# mylab = mne.Label(rhinds[0],pos=fwdmag['source_rr'][rhinds[0],:],hemi='rh',name='test_rh', verbose=True)\n# mylablist.append(mylab)\n\n# mylab = mne.Label(lhfinds,pos=fwdmag['source_rr'][lhfinds,:],hemi='lhf',name='test_lhf', verbose=True)\n# mylablist.append(mylab)\n# mylab = mne.Label(lhbinds,pos=fwdmag['source_rr'][lhbinds,:],hemi='lhb',name='test_lhb', verbose=True)\n# mylablist.append(mylab)\n# mylab = mne.Label(rhfinds,pos=fwdmag['source_rr'][rhfinds,:],hemi='rhf',name='test_rhf', verbose=True)\n# mylablist.append(mylab)\n# mylab = mne.Label(rhbinds,pos=fwdmag['source_rr'][rhbinds,:],hemi='rhb',name='test_rhb', verbose=True)\n# mylablist.append(mylab)\n\nprint(\"##################################\")\nprint(\"##### Calling apply_mft(mylablist)\")\nprint(\"##################################\")\nfwdmag, qualmft, stc_mft = apply_mft(fwdname, evoname, evocondition=evocondition,\n subject=subject, meg=want_meg,\n calccdm='all', cdmcut=cdmcut, cdmlabels=mylablist,\n mftpar=mftpar, verbose='verbose')\n\nevo = mne.read_evokeds(evoname, condition=evocondition, baseline=(None, 0))\ntmin = -0.2\ntstep = 1. / evo.info['sfreq']\nstcdata = stc_mft.data\n\n# plotting routines\njumeg_mft_plot.plot_global_cdv_dist(stcdata)\n# print \">>>>> skipping jumeg_mft_plot.plot_visualize_mft_sources() (fails due to old PySurfer-version)\"\njumeg_mft_plot.plot_visualize_mft_sources(fwdmag, stcdata, tmin=tmin, tstep=tstep,\n subject=subject, subjects_dir=subjects_dir)\njumeg_mft_plot.plot_cdv_distribution(fwdmag, stcdata)\njumeg_mft_plot.plot_max_amplitude_data(fwdmag, stcdata, tmin=tmin, tstep=tstep,\n subject=subject)\njumeg_mft_plot.plot_max_cdv_data(stc_mft, lhmrinds, rhmrinds)\njumeg_mft_plot.plot_cdvsum_data(stc_mft, lhmrinds, rhmrinds)\njumeg_mft_plot.plot_quality_data(qualmft, stc_mft)\njumeg_mft_plot.plot_cdm_data(qualmft, stc_mft)\n\njumeg_mft_plot.plot_cdm_data(qualmft, stc_mft, cdmlabels=mylablist)\njumeg_mft_plot.plot_jlong_labeldata(qualmft, stc_mft, mylablist)\njumeg_mft_plot.plot_jtotal_labeldata(qualmft, stc_mft, mylablist)\n\njumeg_mft_plot.plot_cdm_data(qualmft, stc_mft)\njumeg_mft_plot.plot_jlong_data(qualmft, stc_mft)\n\nprint(\"Done.\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/docs/build/html/_downloads/503834aab09a1044220a0405b005cc77/plot_interpolate_bads.ipynb b/docs/build/html/_downloads/503834aab09a1044220a0405b005cc77/plot_interpolate_bads.ipynb new file mode 100644 index 00000000..0b4f0a43 --- /dev/null +++ b/docs/build/html/_downloads/503834aab09a1044220a0405b005cc77/plot_interpolate_bads.ipynb @@ -0,0 +1,43 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# Plot and interpolate bads\n\nUse suggest_bads to automatically identify bad MEG channels\nand use interpolate_bads based on the center of mass of the\nsensors for bad channel correction.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import os.path as op\n\nimport mne\nfrom mne.datasets import sample\nfrom jumeg import suggest_bads\nfrom jumeg import interpolate_bads\n\ndata_path = sample.data_path()\nsubjects_dir = op.join(data_path, 'subjects')\n\nraw_fname = op.join(data_path, 'MEG/sample/sample_audvis_raw.fif')\n\nraw = mne.io.Raw(raw_fname, preload=True)\nmybads, raw = suggest_bads(raw, show_raw=False, summary_plot=False)\n\n# origin = None causes the method to use the sensor center of mass as origin\ninterpolate_bads(raw, origin=None, reset_bads=True)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/docs/build/html/_downloads/5337f55c415255930b3228fc90912b2c/plot_suggest_bads.ipynb b/docs/build/html/_downloads/5337f55c415255930b3228fc90912b2c/plot_suggest_bads.ipynb new file mode 100644 index 00000000..53fd4960 --- /dev/null +++ b/docs/build/html/_downloads/5337f55c415255930b3228fc90912b2c/plot_suggest_bads.ipynb @@ -0,0 +1,43 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# Plot suggest bads.\n\nExample code to use the jumeg suggest bads functionality.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import os.path as op\nimport mne\nfrom mne.datasets import sample\nfrom jumeg import suggest_bads\n\n# provide the path of the filename:\ndata_path = sample.data_path()\nsubjects_dir = op.join(data_path, 'subjects')\nraw_fname = op.join(data_path, 'MEG/sample/sample_audvis_raw.fif')\n\nraw = mne.io.Raw(raw_fname, preload=True)\n\nmybads, raw = suggest_bads(raw, show_raw=False, summary_plot=False)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/docs/build/html/_downloads/553a405c1f3308a28580a48c1d55f5ef/plot_destriux_atlas_based_connectivity.py b/docs/build/html/_downloads/553a405c1f3308a28580a48c1d55f5ef/plot_destriux_atlas_based_connectivity.py new file mode 100644 index 00000000..aa17154d --- /dev/null +++ b/docs/build/html/_downloads/553a405c1f3308a28580a48c1d55f5ef/plot_destriux_atlas_based_connectivity.py @@ -0,0 +1,35 @@ +#!/usr/bin/env python + +""" +============= +Plot Destriux Atlas +============= + +Read grouped aparc labels from yaml file. + +Plot grouped connectivity circle with these grouped labels +for the Destriux atlas. +""" + +import os.path as op +from jumeg import get_jumeg_path +from jumeg.connectivity import (plot_grouped_connectivity_circle, + generate_random_connectivity_matrix) +import yaml + +grouping_yaml_fname = op.join(get_jumeg_path(), 'data/destriux_aparc_cortex_based_grouping.yaml') +label_names_yaml_fname = op.join(get_jumeg_path(), 'data/destriux_label_names.yaml') + +with open(label_names_yaml_fname, 'r') as f: + label_names = yaml.safe_load(f)['label_names'] + +# make a random matrix with 148 nodes +con = generate_random_connectivity_matrix(size=(148, 148), symmetric=True) +con[con < 0.5] = 0. + +# plot grouped connnectivity +plot_grouped_connectivity_circle(grouping_yaml_fname, con, label_names, + labels_mode=None, colorbar_pos=(0.1, 0.1), + replacer_dict=None, + out_fname='fig_destriux_circle.png', + n_lines=50, colorbar=True) diff --git a/docs/build/html/_downloads/573b6255e48cf5654800cbce050573eb/plot_label_distances.py b/docs/build/html/_downloads/573b6255e48cf5654800cbce050573eb/plot_label_distances.py new file mode 100644 index 00000000..367abd6a --- /dev/null +++ b/docs/build/html/_downloads/573b6255e48cf5654800cbce050573eb/plot_label_distances.py @@ -0,0 +1,70 @@ +#!/usr/bin/env python + +""" +========== +Plot label distances +========== + +Script to plot label distances on circle and connectome plots. +""" + +import os.path as op + +import mne +from mne.datasets import sample +from mne_connectivity import degree + +from jumeg import get_jumeg_path +from jumeg.connectivity import (get_label_distances, + plot_grouped_connectivity_circle) +import yaml + +from nilearn import plotting + +data_path = sample.data_path() +subjects_dir = op.join(data_path, 'subjects') +subject = 'sample' + +parc = 'aparc' + +yaml_cortex_fname = op.join(get_jumeg_path(), 'data/desikan_%s_cortex_based_grouping.yaml' % parc) + +labels_fname = op.join(get_jumeg_path(), 'data/desikan_label_names.yaml') +with open(labels_fname, 'r') as f: + label_names = yaml.safe_load(f)['label_names'] + +replacer_dict_fname = op.join(get_jumeg_path(), 'data/replacer_dictionaries.yaml') +with open(replacer_dict_fname, 'r') as f: + replacer_dict = yaml.safe_load(f)['replacer_dict_%s' % parc] + +# compute distances between center of masses (COMs) of the labels +# we also get the MNI coordinates of the COMs in millimetres +con, coords, _, _ = get_label_distances(subject, subjects_dir, parc=parc) + +# forget long range connections, plot short neighbouring connections +neighbor_range = 30. # millimetres +con[con > neighbor_range] = 0. + +cortex_colors = ['m', 'b', 'y', 'c', 'r', 'g', + 'g', 'r', 'c', 'y', 'b', 'm'] + +out_fname = 'fig_label_com_distances_circle_%0.1f_%s.png' % (neighbor_range, parc) +plot_grouped_connectivity_circle(yaml_cortex_fname, con, label_names, + replacer_dict=replacer_dict, + yaml_color_fname=None, labels_mode='replace', + cortex_colors=cortex_colors, + out_fname=out_fname, colorbar_pos=(0.1, 0.1), + n_lines=None, colorbar=True, + colormap='Reds') + +# compute the degree +degs = degree(con, threshold_prop=1) + +# show the label ROIs and short range connections using nilearn glass brain +fig = plotting.plot_connectome(con, coords, node_size=degs, + edge_threshold='99%', + node_color='cornflowerblue', + display_mode='ortho', + title='%s' % parc) + +fig.savefig('fig_%s_labels_distance_degrees.png' % parc) diff --git a/docs/build/html/_downloads/58d415520c63a81b42a71c16289c05a7/plot_surrogate_methods.ipynb b/docs/build/html/_downloads/58d415520c63a81b42a71c16289c05a7/plot_surrogate_methods.ipynb new file mode 100644 index 00000000..d927e5b2 --- /dev/null +++ b/docs/build/html/_downloads/58d415520c63a81b42a71c16289c05a7/plot_surrogate_methods.ipynb @@ -0,0 +1,43 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# Plot surrogate methods\n\nPlotting vrious methods used to generate surrogates.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import numpy as np\nimport mne\nfrom jumeg.jumeg_surrogates import Surrogates, check_power_spectrum\nimport matplotlib.pyplot as pl\n\nmysurr = Surrogates.SimpleTestData()\n\n# do shuffling\nshuffled = mysurr.shuffle_time_points(mysurr.original_data)\n\npl.figure('shuffled')\npl.title('shuffled')\npl.plot(mysurr.original_data[0])\npl.plot(shuffled[0], color='r')\n\n# do shifting\nshifted = mysurr.shift_data(mysurr.original_data)\n\npl.figure('shifted')\npl.title('Shifted')\npl.plot(mysurr.original_data[0])\npl.plot(shifted[0], color='r')\n\n# do phase randomization\nphase_random = mysurr.randomize_phase(mysurr.original_data)\n\npl.figure('phase_randomize')\npl.title('phase_randomize')\npl.plot(mysurr.original_data[0])\npl.plot(phase_random[0], color='r')\n\n# do phase randomize as in scot\nphase_random_scot = mysurr.randomize_phase_scot(mysurr.original_data)\n\npl.figure('phase_randomize_scot')\npl.title('phase_randomize_scot')\npl.plot(mysurr.original_data[0])\npl.plot(phase_random_scot[0], color='r')\n\ncheck_power_spectrum(mysurr.original_data, phase_random)\ncheck_power_spectrum(mysurr.original_data, phase_random_scot)\n\npl.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/docs/build/html/_downloads/5e3fdbce7816dcceeb2419f0cd45b3f6/plot_grouped_connectivity_circle.ipynb b/docs/build/html/_downloads/5e3fdbce7816dcceeb2419f0cd45b3f6/plot_grouped_connectivity_circle.ipynb new file mode 100644 index 00000000..45be082c --- /dev/null +++ b/docs/build/html/_downloads/5e3fdbce7816dcceeb2419f0cd45b3f6/plot_grouped_connectivity_circle.ipynb @@ -0,0 +1,43 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# Plot grouped connectivity circle.\n\nExample showing how to read grouped aparc labels from yaml file and plot\ngrouped connectivity circle with these labels.\n\nAuthor: Praveen Sripad \n Christian Kiefer \n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import os.path as op\nfrom jumeg import get_jumeg_path\nfrom jumeg.connectivity import (plot_grouped_connectivity_circle,\n generate_random_connectivity_matrix)\nimport yaml\n\nlabels_fname = get_jumeg_path() + '/data/desikan_label_names.yaml'\nyaml_cortex_fname = get_jumeg_path() + '/data/desikan_aparc_cortex_based_grouping.yaml'\nyaml_cluster_fname = get_jumeg_path() + '/data/desikan_aparc_cluster_based_grouping_example.yaml'\nreplacer_dict_fname = get_jumeg_path() + '/data/replacer_dictionaries.yaml'\n\nwith open(labels_fname, 'r') as f:\n label_names = yaml.safe_load(f)['label_names']\n\nwith open(replacer_dict_fname, 'r') as f:\n replacer_dict = yaml.safe_load(f)['replacer_dict_aparc']\n\n# make a random matrix with 68 nodes\ncon = generate_random_connectivity_matrix(size=(68, 68), symmetric=True)\n\n# plot simple connectivity circle with cortex based grouping and colors\nplot_grouped_connectivity_circle(yaml_cortex_fname, con, label_names,\n labels_mode='replace', replacer_dict=replacer_dict,\n out_fname='fig_grouped_con_circle_cortex.png',\n colorbar_pos=(0.1, 0.1), n_lines=10, colorbar=True,\n colormap='viridis')\n\n# plot connectivity circle with cluster-based grouping but same node colors as above\nplot_grouped_connectivity_circle(yaml_cluster_fname, con, label_names,\n labels_mode=None, replacer_dict=None,\n yaml_color_fname=yaml_cortex_fname,\n out_fname='fig_grouped_con_circle_cluster.png',\n colorbar_pos=(0.1, 0.1), n_lines=10, colorbar=True,\n colormap='viridis')" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/docs/build/html/_downloads/670b9583aa6b2fb6d7296d6dc4e9eaf5/plot_grouped_connectivity_circle.py b/docs/build/html/_downloads/670b9583aa6b2fb6d7296d6dc4e9eaf5/plot_grouped_connectivity_circle.py new file mode 100644 index 00000000..be83cb29 --- /dev/null +++ b/docs/build/html/_downloads/670b9583aa6b2fb6d7296d6dc4e9eaf5/plot_grouped_connectivity_circle.py @@ -0,0 +1,48 @@ +#!/usr/bin/env python + +""" +============= +Plot grouped connectivity circle. +============= + +Example showing how to read grouped aparc labels from yaml file and plot +grouped connectivity circle with these labels. + +Author: Praveen Sripad + Christian Kiefer + +""" +import os.path as op +from jumeg import get_jumeg_path +from jumeg.connectivity import (plot_grouped_connectivity_circle, + generate_random_connectivity_matrix) +import yaml + +labels_fname = get_jumeg_path() + '/data/desikan_label_names.yaml' +yaml_cortex_fname = get_jumeg_path() + '/data/desikan_aparc_cortex_based_grouping.yaml' +yaml_cluster_fname = get_jumeg_path() + '/data/desikan_aparc_cluster_based_grouping_example.yaml' +replacer_dict_fname = get_jumeg_path() + '/data/replacer_dictionaries.yaml' + +with open(labels_fname, 'r') as f: + label_names = yaml.safe_load(f)['label_names'] + +with open(replacer_dict_fname, 'r') as f: + replacer_dict = yaml.safe_load(f)['replacer_dict_aparc'] + +# make a random matrix with 68 nodes +con = generate_random_connectivity_matrix(size=(68, 68), symmetric=True) + +# plot simple connectivity circle with cortex based grouping and colors +plot_grouped_connectivity_circle(yaml_cortex_fname, con, label_names, + labels_mode='replace', replacer_dict=replacer_dict, + out_fname='fig_grouped_con_circle_cortex.png', + colorbar_pos=(0.1, 0.1), n_lines=10, colorbar=True, + colormap='viridis') + +# plot connectivity circle with cluster-based grouping but same node colors as above +plot_grouped_connectivity_circle(yaml_cluster_fname, con, label_names, + labels_mode=None, replacer_dict=None, + yaml_color_fname=yaml_cortex_fname, + out_fname='fig_grouped_con_circle_cluster.png', + colorbar_pos=(0.1, 0.1), n_lines=10, colorbar=True, + colormap='viridis') diff --git a/docs/build/html/_downloads/6d79818512247aa7861067e4a0a58cce/plot_shuffle_time_slices.py b/docs/build/html/_downloads/6d79818512247aa7861067e4a0a58cce/plot_shuffle_time_slices.py new file mode 100644 index 00000000..600c0c90 --- /dev/null +++ b/docs/build/html/_downloads/6d79818512247aa7861067e4a0a58cce/plot_shuffle_time_slices.py @@ -0,0 +1,68 @@ +""" +==================================================== +Shuffle channels' data in the time domain and plot. +==================================================== +""" +# Author: Eberhard Eich +# Praveen Sripad +# +# License: BSD (3-clause) + +import os.path as op +import numpy as np + +import mne +from mne.datasets import sample + +from jumeg.jumeg_utils import (get_files_from_list, time_shuffle_slices, + channel_indices_from_list) + +data_path = sample.data_path() +raw_fname = op.join(data_path, 'MEG/sample/sample_audvis_raw.fif') + +# shuffle all MEG channels that begin with number 11 +shflchanlist = ['MEG 11..'] + +# shuffle the whole length of the data +tmin, tmax = 0., None + +# apply the shuffling +# time_shuffle_slices(raw_fname, shufflechans=shflchanlist, tmin=tmin, tmax=tmax) + +plot_things = True +if plot_things: + permname = op.join(op.dirname(raw_fname), + op.basename(raw_fname).split('-')[0]) + ',tperm-raw.fif' + + rawraw = mne.io.Raw(raw_fname,preload=True) + shflpick = channel_indices_from_list(rawraw.info['ch_names'][:], + shflchanlist) + procdperm = mne.io.Raw(permname, preload=True) + + figraw = rawraw.plot_psd(fmin=0., fmax=300., tmin=0., color=(1,0,0), picks=shflpick) + axisraw = figraw.gca() + axisraw.set_ylim([-300., -250.]) + # procdnr.plot_psd(fmin=0.,fmax=300., color=(0,0,1), picks=shflpick) + figshfl = procdperm.plot_psd(fmin=0., fmax=300., tmin=0., color=(1,0,0), picks=shflpick) + axisshfl = figshfl.gca() + axisshfl.set_ylim([-300., -250.]) + + megpick = mne.pick_types(rawraw.info, meg=True, ref_meg=False, eeg=False, eog=False, stim=False) + + figraw1 = rawraw.plot_psd(fmin=0., fmax=300., tmin=0., color=(0,0,1), picks=megpick) + axisraw1 = figraw1.gca() + axisraw1.set_ylim([-300., -250.]) + + figshfl1 = procdperm.plot_psd(fmin=0., fmax=300., tmin=0., color=(0,0,1), picks=megpick) + axisshfl1 = figshfl1.gca() + axisshfl1.set_ylim([-300., -250.]) + + megnochgpick = np.setdiff1d(megpick, shflpick) + + figraw2 = rawraw.plot_psd(fmin=0., fmax=300., tmin=0., color=(0,1,0), picks=megnochgpick) + axisraw2 = figraw2.gca() + axisraw2.set_ylim([-300., -250.]) + + figshfl2 = procdperm.plot_psd(fmin=0., fmax=300., tmin=0., color=(0,1,0), picks=megnochgpick) + axisshfl2 = figshfl2.gca() + axisshfl2.set_ylim([-300., -250.]) diff --git a/docs/build/html/_downloads/6e4ed2190089ce674edcedc0fbde1e65/plot_data_distribution.py b/docs/build/html/_downloads/6e4ed2190089ce674edcedc0fbde1e65/plot_data_distribution.py new file mode 100644 index 00000000..4702278f --- /dev/null +++ b/docs/build/html/_downloads/6e4ed2190089ce674edcedc0fbde1e65/plot_data_distribution.py @@ -0,0 +1,40 @@ +#!/usr/bin/env python +''' +========== +Plot data distribution +========== + +Example script to plot a given data distribution compared with a standard +Gaussian distribution. +''' + +import os.path as op +import matplotlib.pyplot as plt +import mne +from mne.datasets import sample +from jumeg.jumeg_plot import plot_histo_fit_gaussian + +data_path = sample.data_path() +subjects_dir = op.join(data_path, 'subjects') + +fname_raw = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw.fif') +fname_event = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw-eve.fif') + +raw = mne.io.read_raw_fif(fname_raw) +events = mne.read_events(fname_event) + +# add a bad channel +raw.info['bads'] += ['MEG 2443'] + +# pick MEG channels +picks = mne.pick_types(raw.info, meg='mag', eeg=False, stim=False, eog=False, + exclude='bads') + +# Define epochs for left-auditory condition +event_id, tmin, tmax = 1, -0.2, 0.5 +epochs = mne.Epochs(raw, events, event_id, tmin, tmax, picks=picks, + baseline=(None, 0), reject=dict(mag=4e-12)) + +data = epochs.get_data() + +fig = plot_histo_fit_gaussian(data, nbins=100, fnout=None, show=True) diff --git a/docs/build/html/_downloads/728b0f3a75d3e016e45cc56032c1333e/plot_standard_resting_network_on_aparc_annot_map.ipynb b/docs/build/html/_downloads/728b0f3a75d3e016e45cc56032c1333e/plot_standard_resting_network_on_aparc_annot_map.ipynb new file mode 100644 index 00000000..e2b93356 --- /dev/null +++ b/docs/build/html/_downloads/728b0f3a75d3e016e45cc56032c1333e/plot_standard_resting_network_on_aparc_annot_map.ipynb @@ -0,0 +1,43 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# Standard RSNs on the connectivity circle\n\nPlot the visualization of the standard resting state network on the\nconnectivity circle plot showing the Freesurfer aparc annotation map.\n\nThis provides a quick visualization of the primary connections of the standard\nresting state network.\n\nUses the standard RSNs provided by [1]\n[1] P. Garc\u00e9s, M. C. Mart\u00edn-Buro, and F. Maest\u00fa,\n\u201cQuantifying the Test-Retest Reliability of Magnetoencephalography\nResting-State Functional Connectivity,\u201d Brain Connect., vol. 6, no. 6,\npp. 448\u2013460, 2016.\n\nAuthor: Praveen Sripad \n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import os.path as op\nimport numpy as np\nimport mne\n\nfrom mne.datasets import sample\nfrom jumeg.jumeg_utils import get_jumeg_path\nfrom jumeg.connectivity import make_annot_from_csv\nfrom jumeg.connectivity import plot_grouped_connectivity_circle\n\ndata_path = sample.data_path()\nsubject = 'sample'\nsubjects_dir = op.join(data_path, 'subjects')\nparc_fname = 'standard_garces_2016'\ncsv_fname = op.join(get_jumeg_path(), 'data', 'standard_rsns.csv')\n\n# set make_annot to True to save the annotation to disk\nlabels, coords, foci = make_annot_from_csv(subject, subjects_dir, csv_fname,\n parc_fname=parc_fname,\n make_annot=False,\n return_label_coords=True)\n\naparc = mne.read_labels_from_annot('sample', subjects_dir=subjects_dir)\naparc_names = [apa.name for apa in aparc]\nlh_aparc = [mylab for mylab in aparc if mylab.hemi == 'lh']\nrh_aparc = [mylab for mylab in aparc if mylab.hemi == 'rh']\n\n# get the appropriate resting state labels\nrst_aparc = []\nfor i, rst_label in enumerate(labels):\n myfoci = foci[i] # get the vertex\n if rst_label.hemi == 'lh': # vertex hemi is stored in the rst_label\n for mylab in lh_aparc:\n if myfoci in mylab.vertices:\n print('Left: ', rst_label.name, myfoci, mylab, aparc.index(mylab))\n rst_aparc.append(mylab)\n elif rst_label.hemi == 'rh':\n for mylab in rh_aparc:\n if myfoci in mylab.vertices:\n print('Right: ', rst_label.name, myfoci, mylab, aparc.index(mylab))\n rst_aparc.append(mylab)\n else:\n print('ERROR: ', rst_label)\n\n# only 16 labels in aparc show up, there are no vertices in the left hemi for\n# Frontoinsular_Median cingulate-lh\nrst_indices = [aparc.index(rst) for rst in rst_aparc]\n\nnetworks = {'Visual': ['lateraloccipital-lh', 'lateraloccipital-rh'],\n 'Sensorimotor': ['supramarginal-lh', 'supramarginal-rh'],\n 'Auditory': ['inferiortemporal-lh', 'middletemporal-rh'],\n 'DMN': ['precuneus-lh', 'inferiorparietal-lh',\n 'inferiorparietal-rh', 'medialorbitofrontal-lh'],\n 'Left_FP': ['inferiorparietal-lh', 'superiortemporal-lh'],\n 'Right_FP': ['inferiorparietal-rh', 'superiortemporal-rh'],\n 'Frontoinsular': ['inferiortemporal-lh', 'inferiortemporal-rh']}\n\n# make a temporary connectivity matrix\nn_nodes = 68\ncon = np.zeros((n_nodes, n_nodes))\n\nrst_combindices = [[16, 31], [50, 14], [50, 15], [50, 28], [14, 15],\n [14, 28], [15, 28], [22, 23], [14, 60], [62, 63],\n [15, 61],\n [16, 17]]\n\n# assign different values to different networks manually\ncon[16, 31] = 0.4 # Auditory\ncon[50, 14] = con[50, 15] = con[50, 28] = con[14, 15] = con[14, 28] = con[15, 28] = 0.5 # DMN\ncon[22, 23] = 0.6 # Visual\ncon[14, 60] = 0.7 # Left FP\ncon[62, 63] = 0.8 # Sensorimotor\ncon[15, 61] = 0.9 # Right FP\ncon[16, 17] = 1 # Frontoinsular\n\ncon += con.T # since we only add the combinations\n\n# plot the connectivity circle showing standard RSNs\nfrom matplotlib.colors import ListedColormap\ncmap = ListedColormap(['m', 'k', 'b', 'y', 'r', 'c', 'g'])\nyaml_fname = get_jumeg_path() + '/data/desikan_aparc_cortex_based_grouping.yaml'\n\nplot_grouped_connectivity_circle(yaml_fname, con, aparc_names, n_lines=12,\n labels_mode=None, colormap=cmap, colorbar=True,\n replacer_dict=None, indices=None,\n out_fname='fig_rsn_circle_plot.png')" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/docs/build/html/_downloads/750a05b437aaa7a73d607c5794d70771/plot_inter_and_intra_lobe_causality.py b/docs/build/html/_downloads/750a05b437aaa7a73d607c5794d70771/plot_inter_and_intra_lobe_causality.py new file mode 100644 index 00000000..74e3a11e --- /dev/null +++ b/docs/build/html/_downloads/750a05b437aaa7a73d607c5794d70771/plot_inter_and_intra_lobe_causality.py @@ -0,0 +1,86 @@ +""" +============= +Group Causality Matrix +============= + +Group a causality matrix by lobes and plot the resulting +inter- and intra-lobe causality. + +Author: Christian Kiefer +""" + +import os +import os.path as op + +import numpy as np +import matplotlib.pyplot as plt +import mne + +from mne.datasets import sample + +print(__doc__) + +data_path = sample.data_path() + +from jumeg.connectivity.con_utils import group_con_matrix_by_lobe +from jumeg.connectivity.con_viz import plot_grouped_causality_circle +from jumeg.jumeg_utils import get_jumeg_path + +############################################################################### +# Load the grouping files +############################################################################### + +grouping_yaml_fname = op.join(get_jumeg_path(), 'data', + 'desikan_aparc_cortex_based_grouping_ck.yaml') +lobe_grouping_yaml_fname = op.join(get_jumeg_path(), 'data', + 'lobes_grouping.yaml') + +############################################################################### +# Load anatomical labels +############################################################################### + +subjects_dir = op.join(data_path, 'subjects') +os.environ['SUBJECTS_DIR'] = subjects_dir + +full_labels = mne.read_labels_from_annot(subject='fsaverage', parc='aparc', + hemi='both', subjects_dir=subjects_dir) + +full_label_names = [full_label.name for full_label in full_labels if full_label.name.find('unknown') == -1] + +############################################################################### +# create random causality matrix +############################################################################### + +# create causality matrix +np.random.seed(42) +cau = np.random.uniform(-0.99, 0.01, (len(full_label_names), len(full_label_names))) + +cau[cau < 0] = 0 +cau = cau / 0.01 # values between 0 and 1 + +cau_grp, grp_label_names = group_con_matrix_by_lobe(con=cau, label_names=full_label_names, + grouping_yaml_fname=grouping_yaml_fname) + +############################################################################### +# Compare original matrix with grouped matrix plot +############################################################################### + +fig = plot_grouped_causality_circle(cau, grouping_yaml_fname, full_label_names, + title='original causality matrix', n_lines=None, + labels_mode=None, replacer_dict=None, out_fname=None, + colormap='magma_r', colorbar=True, colorbar_pos=(-0.25, 0.05), + arrowstyle='->,head_length=0.7,head_width=0.4', + figsize=(9.1, 6), vmin=0., vmax=1.0, ignore_diagonal=True, + show=True) + +plt.close(fig) + +fig = plot_grouped_causality_circle(cau_grp, lobe_grouping_yaml_fname, grp_label_names, + title='test', n_lines=None, labels_mode=None, + replacer_dict=None, out_fname=None, colormap='magma_r', + colorbar=True, colorbar_pos=(-0.25, 0.05), + arrowstyle='->,head_length=0.7,head_width=0.4', + figsize=(9.1, 6), vmin=0., ignore_diagonal=False, + show=True) + +plt.close(fig) diff --git a/docs/build/html/_downloads/788bd55683970df0cd1b8c32916e1553/plot_causality_circle.py b/docs/build/html/_downloads/788bd55683970df0cd1b8c32916e1553/plot_causality_circle.py new file mode 100644 index 00000000..a76c2263 --- /dev/null +++ b/docs/build/html/_downloads/788bd55683970df0cd1b8c32916e1553/plot_causality_circle.py @@ -0,0 +1,39 @@ +#!/usr/bin/env python3 + +""" +============= +Plot Causality Matrix +============= + +Example showing how to plot a causality matrix on a circle plot. +""" + +import numpy as np + +from jumeg import get_jumeg_path +from jumeg.connectivity import plot_grouped_causality_circle +import yaml + +# load the yaml grouping of Freesurfer labels +yaml_fname = get_jumeg_path() + '/data/desikan_aparc_cortex_based_grouping.yaml' +labels_fname = get_jumeg_path() + '/data/desikan_label_names.yaml' +replacer_dict_fname = get_jumeg_path() + '/data/replacer_dictionaries.yaml' + +with open(labels_fname, 'r') as f: + label_names = yaml.safe_load(f)['label_names'] + +with open(replacer_dict_fname, 'r') as f: + replacer_dict = yaml.safe_load(f)['replacer_dict_aparc'] + +# make a random causality matrix +n_nodes = 68 # currently needs to be always this number +caus = np.random.random((n_nodes, n_nodes)) +caus[np.diag_indices_from(caus)] = 0. +caus[caus < 0.7] = 0. + +plot_grouped_causality_circle(caus, yaml_fname, label_names, n_lines=10, + labels_mode='replace', replacer_dict=replacer_dict, + out_fname='fig_causality_circle.png', + colormap='Blues', colorbar=True, + figsize=(6, 6), show=False, + arrowstyle='->,head_length=1,head_width=1') diff --git a/docs/build/html/_downloads/797503bea9dbbf294fb097dc44d00896/plot_annot_standard_rsns.ipynb b/docs/build/html/_downloads/797503bea9dbbf294fb097dc44d00896/plot_annot_standard_rsns.ipynb new file mode 100644 index 00000000..5f0c96ed --- /dev/null +++ b/docs/build/html/_downloads/797503bea9dbbf294fb097dc44d00896/plot_annot_standard_rsns.ipynb @@ -0,0 +1,43 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# Visualise Standard RSNs\n\nGrow and visualize standard resting state ROIs from literature.\n\n1. Read ROIs of standard regions involved in resting state networks from literature.\n (the data is provided as a csv file with list of regions with seed MNI coordinates)\n2. Grow labels of 1cm radius (approx) in the surface source space.\n3. Make annotation and visualize the labels.\n\nUses RSNs provided by [1]\n[1] P. Garc\u00e9s, M. C. Mart\u00edn-Buro, and F. Maest\u00fa,\n\u201cQuantifying the Test-Retest Reliability of Magnetoencephalography\nResting-State Functional Connectivity,\u201d Brain Connect., vol. 6, no. 6, pp. 448\u2013460, 2016.\n\nAuthor: Praveen Sripad \n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import os.path as op\nimport numpy as np\nimport mne\n\nfrom mne.datasets import sample\nfrom jumeg.jumeg_utils import get_jumeg_path\nfrom jumeg.connectivity import make_annot_from_csv\n\nfrom nilearn import plotting\nfrom mne.viz import Brain\n\ndata_path = sample.data_path()\nsubject = 'sample'\nsubjects_dir = op.join(data_path, 'subjects')\nparc_fname = 'standard_garces_2016'\ncsv_fname = op.join(get_jumeg_path(), 'data', 'standard_rsns.csv')\n\n# set make_annot to True to save the annotation to disk\nlabels, coords, _ = make_annot_from_csv(subject, subjects_dir, csv_fname,\n parc_fname=parc_fname, make_annot=False,\n return_label_coords=True)\n\n# to plot mni coords on glass brain\nn_nodes = np.array(coords).shape[0]\n# make a random zero valued connectivity matrix\ncon = np.zeros((n_nodes, n_nodes))\n# plot the connectome on a glass brain background\nplotting.plot_connectome(con, coords)\nplotting.show()\n\n# plot the brain surface, foci and labels\nBrain = mne.viz.get_brain_class()\nbrain = Brain(subject, hemi='both', surf='white', subjects_dir=subjects_dir)\n\nfor mni_coord, mylabel in zip(coords, labels):\n brain.add_foci(mni_coord, coords_as_verts=False, hemi=mylabel.hemi,\n color='red', scale_factor=0.6)\n brain.add_label(mylabel, hemi=mylabel.hemi)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/docs/build/html/_downloads/7a6f0b867a520c2c354e932467eac373/plot_shuffle_time_slices.ipynb b/docs/build/html/_downloads/7a6f0b867a520c2c354e932467eac373/plot_shuffle_time_slices.ipynb new file mode 100644 index 00000000..8cab4bd5 --- /dev/null +++ b/docs/build/html/_downloads/7a6f0b867a520c2c354e932467eac373/plot_shuffle_time_slices.ipynb @@ -0,0 +1,43 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# Shuffle channels' data in the time domain and plot.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Author: Eberhard Eich\n# Praveen Sripad\n#\n# License: BSD (3-clause)\n\nimport os.path as op\nimport numpy as np\n\nimport mne\nfrom mne.datasets import sample\n\nfrom jumeg.jumeg_utils import (get_files_from_list, time_shuffle_slices,\n channel_indices_from_list)\n\ndata_path = sample.data_path()\nraw_fname = op.join(data_path, 'MEG/sample/sample_audvis_raw.fif')\n\n# shuffle all MEG channels that begin with number 11\nshflchanlist = ['MEG 11..']\n\n# shuffle the whole length of the data\ntmin, tmax = 0., None\n\n# apply the shuffling\n# time_shuffle_slices(raw_fname, shufflechans=shflchanlist, tmin=tmin, tmax=tmax)\n\nplot_things = True\nif plot_things:\n permname = op.join(op.dirname(raw_fname),\n op.basename(raw_fname).split('-')[0]) + ',tperm-raw.fif'\n\n rawraw = mne.io.Raw(raw_fname,preload=True)\n shflpick = channel_indices_from_list(rawraw.info['ch_names'][:],\n shflchanlist)\n procdperm = mne.io.Raw(permname, preload=True)\n\n figraw = rawraw.plot_psd(fmin=0., fmax=300., tmin=0., color=(1,0,0), picks=shflpick)\n axisraw = figraw.gca()\n axisraw.set_ylim([-300., -250.])\n # procdnr.plot_psd(fmin=0.,fmax=300., color=(0,0,1), picks=shflpick)\n figshfl = procdperm.plot_psd(fmin=0., fmax=300., tmin=0., color=(1,0,0), picks=shflpick)\n axisshfl = figshfl.gca()\n axisshfl.set_ylim([-300., -250.])\n\n megpick = mne.pick_types(rawraw.info, meg=True, ref_meg=False, eeg=False, eog=False, stim=False)\n\n figraw1 = rawraw.plot_psd(fmin=0., fmax=300., tmin=0., color=(0,0,1), picks=megpick)\n axisraw1 = figraw1.gca()\n axisraw1.set_ylim([-300., -250.])\n\n figshfl1 = procdperm.plot_psd(fmin=0., fmax=300., tmin=0., color=(0,0,1), picks=megpick)\n axisshfl1 = figshfl1.gca()\n axisshfl1.set_ylim([-300., -250.])\n\n megnochgpick = np.setdiff1d(megpick, shflpick)\n\n figraw2 = rawraw.plot_psd(fmin=0., fmax=300., tmin=0., color=(0,1,0), picks=megnochgpick)\n axisraw2 = figraw2.gca()\n axisraw2.set_ylim([-300., -250.])\n\n figshfl2 = procdperm.plot_psd(fmin=0., fmax=300., tmin=0., color=(0,1,0), picks=megnochgpick)\n axisshfl2 = figshfl2.gca()\n axisshfl2.set_ylim([-300., -250.])" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/docs/build/html/_downloads/85704cb3d64d407130b06aa8e28474b7/plot_communities.py b/docs/build/html/_downloads/85704cb3d64d407130b06aa8e28474b7/plot_communities.py new file mode 100644 index 00000000..814829f0 --- /dev/null +++ b/docs/build/html/_downloads/85704cb3d64d407130b06aa8e28474b7/plot_communities.py @@ -0,0 +1,79 @@ +#!/usr/bin/env python + +""" +============= +Plot network communities +============= + +Plot Networkx Communities on a connectome plot. + +Author: Praveen Sripad +""" + +import os.path as op +import numpy as np +import matplotlib.pyplot as plt + +import mne +from mne.datasets import sample +from jumeg.connectivity.con_utils import make_communities +from jumeg.connectivity import generate_random_connectivity_matrix + +from nilearn import plotting + +data_path = sample.data_path() +subjects_dir = op.join(data_path, 'subjects') +subject = 'fsaverage' +aparc = mne.read_labels_from_annot(subject, subjects_dir=subjects_dir, + parc='aparc') + +# make a random connectivity matrix +con = generate_random_connectivity_matrix(size=(34, 34), symmetric=True) + +top_nodes_list, n_communities = make_communities(con) + +# FIXME better colouring +# cmaps_list = ['Pastel1', 'Pastel2', 'Paired', 'Accent', +# 'Dark2', 'Set1', 'Set2', 'Set3', +# 'tab10', 'tab20', 'tab20b', 'tab20c'] +# color_list = plt.cm.Pastel1(np.linspace(0, 1, len(top_nodes_list))) + +color_list = ['red', 'orange', 'green', 'purple', 'navy', 'blue'] +cmaps_list = ['Reds', 'Oranges', 'Greens', 'Purples', 'PuBu', 'Blues'] + +fig = plt.figure(facecolor='w', edgecolor='w') + +for top_nodes, col, cmap in zip(top_nodes_list, color_list, cmaps_list): + + coords = [] + community_ = [aparc[tp] for tp in top_nodes] + + for lab in community_: + if lab.name == 'unknown-lh': + continue + print(lab.name) + # get the center of mass + com = lab.center_of_mass('fsaverage') + if lab.name.endswith('lh'): + # obtain mni coordinated to the vertex from left hemi + coords_ = mne.vertex_to_mni(com, hemis=0, subject=subject, + subjects_dir=subjects_dir) + else: + coords_ = mne.vertex_to_mni(com, hemis=1, subject=subject, + subjects_dir=subjects_dir) + coords.append(coords_) + + n_nodes = np.array(coords).shape[0] + # make a dummy connectivity matrix + # FIXME use the existing con matrix with indices chosen instead + con_ = np.ones((n_nodes, n_nodes)) / 2. + con_[np.diag_indices(n_nodes)] = 0. + con_[np.triu_indices(n_nodes, k=1)] = 0. + con_ += con_.T + + # plot the connectome on a glass brain background + plotting.plot_connectome(con_, coords, node_color=col, edge_cmap=cmap, + figure=fig, edge_vmin=0., edge_vmax=1.) + +plt.show() +# plt.savefig('fig_communities.png') diff --git a/docs/build/html/_downloads/87e37bd16413e1937436ee7686f30260/plot_degree_circle.ipynb b/docs/build/html/_downloads/87e37bd16413e1937436ee7686f30260/plot_degree_circle.ipynb new file mode 100644 index 00000000..c61c6632 --- /dev/null +++ b/docs/build/html/_downloads/87e37bd16413e1937436ee7686f30260/plot_degree_circle.ipynb @@ -0,0 +1,43 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# Plot degree circle\n\nPlot degree values for a given set of nodes in a simple circle plot.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import os.path as op\nimport numpy as np\nimport matplotlib.pyplot as plt\n\nimport mne\nfrom mne_connectivity import degree\nfrom jumeg import get_jumeg_path\nfrom jumeg.connectivity import plot_degree_circle\n\nimport bct\n\norig_labels_fname = op.join(get_jumeg_path(), 'data/desikan_label_names.yaml')\nyaml_fname = op.join(get_jumeg_path(), 'data/desikan_aparc_cortex_based_grouping.yaml')\ncon_fname = op.join(get_jumeg_path(), 'data/sample,aparc-con.npy')\n\ncon = np.load(con_fname)\ncon_ = con[0, :, :, 2] + con[0, :, :, 2].T\n\n# compute the degree\ndegrees = degree(con_, threshold_prop=0.2)\n\nfig, ax = plot_degree_circle(degrees, yaml_fname, orig_labels_fname)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/docs/build/html/_downloads/8ddba056db025e042233906e31e4ccbc/plot_noise_reducer.py b/docs/build/html/_downloads/8ddba056db025e042233906e31e4ccbc/plot_noise_reducer.py new file mode 100644 index 00000000..a91a6d70 --- /dev/null +++ b/docs/build/html/_downloads/8ddba056db025e042233906e31e4ccbc/plot_noise_reducer.py @@ -0,0 +1,76 @@ +#!/usr/bin/env python +''' +==================== +Plot noise reducer +==================== + +Script to show the application of noise reducer on jusample data. +''' + +import os +import os.path as op +import numpy as np +import matplotlib.pyplot as plt +from jumeg.jumeg_noise_reducer import noise_reducer + +import mne + +plt.ion() + +# load the jumeg sample data (has to be BTI) +if os.environ.get('JUSAMPLE_MEG_PATH'): + data_dir = os.environ['JUSAMPLE_MEG_PATH'] +else: + print('Data unavailable, skipping.') + sys.exit() + +subject = '207184' +raw_fname = op.join(data_dir, 'recordings', subject, + 'sample_207184_rest_EC-raw.fif') + +raw = mne.io.Raw(raw_fname, preload=True) + +fig, (ax1, ax2, ax3, ax4, ax5) = plt.subplots(5, 1, sharex=True, sharey=True) + +picks = mne.pick_types(raw.info, meg='mag', exclude='bads') +raw.plot_psd(fmin=0., fmax=100., tmin=None, tmax=60., + n_fft=None, picks=picks, ax=ax1); +ax1.set_title('Original') + +# notch filter +raw_notch = raw.copy().notch_filter(np.arange(50, 251, 50), picks=picks, + filter_length='auto', + notch_widths=None, n_jobs=4, method='fir', + phase='zero-double', + fir_window='hamming', fir_design='firwin') +raw_notch.plot_psd(fmin=0., fmax=100., tmin=None, tmax=60., + n_fft=None, picks=picks, ax=ax2); +ax2.set_title('Notch filter 50Hz applied') + +# powerline removal using noise_reducer +raw_nr_notch = noise_reducer(raw_fname, raw=raw.copy(), detrending=False, + reflp=None, refhp=None, refnotch=[50., 100., 150.], + return_raw=True, verbose=False) +raw_nr_notch.plot_psd(fmin=0., fmax=100., tmin=None, tmax=60., + n_fft=None, picks=picks, ax=ax3); +ax3.set_title('Noise reducer notch filter 50Hz applied') + + +# remove high freq noise (>0.1Hz) from ref channels +raw_nr2 = noise_reducer(raw_fname, raw=raw_nr_notch, detrending=False, + reflp=None, refhp=0.1, refnotch=None, + return_raw=True, verbose=False) +raw_nr2.plot_psd(fmin=0., fmax=100., tmin=None, tmax=60., + n_fft=None, picks=picks, ax=ax4); +ax4.set_title('Noise reducer high pass filtered 0.1Hz') + +# remove low freq noise (<5Hz) from ref channels +raw_nr = noise_reducer(raw_fname, raw=raw_nr2, detrending=False, + reflp=5., refhp=None, refnotch=None, + return_raw=True, verbose=False) +raw_nr.plot_psd(fmin=0., fmax=100., tmin=None, tmax=60., + n_fft=None, picks=picks, ax=ax5); +ax5.set_title('Noise reducer low pass filtered 5Hz') + +plt.tight_layout() +plt.show() diff --git a/docs/build/html/_downloads/8df67dced1ecf400a9b21a7bf94207fe/plot_surrogate_methods.py b/docs/build/html/_downloads/8df67dced1ecf400a9b21a7bf94207fe/plot_surrogate_methods.py new file mode 100644 index 00000000..0956e7e0 --- /dev/null +++ b/docs/build/html/_downloads/8df67dced1ecf400a9b21a7bf94207fe/plot_surrogate_methods.py @@ -0,0 +1,52 @@ +#!/usr/bin/env python +''' +========== +Plot surrogate methods +========== + +Plotting vrious methods used to generate surrogates. +''' + +import numpy as np +import mne +from jumeg.jumeg_surrogates import Surrogates, check_power_spectrum +import matplotlib.pyplot as pl + +mysurr = Surrogates.SimpleTestData() + +# do shuffling +shuffled = mysurr.shuffle_time_points(mysurr.original_data) + +pl.figure('shuffled') +pl.title('shuffled') +pl.plot(mysurr.original_data[0]) +pl.plot(shuffled[0], color='r') + +# do shifting +shifted = mysurr.shift_data(mysurr.original_data) + +pl.figure('shifted') +pl.title('Shifted') +pl.plot(mysurr.original_data[0]) +pl.plot(shifted[0], color='r') + +# do phase randomization +phase_random = mysurr.randomize_phase(mysurr.original_data) + +pl.figure('phase_randomize') +pl.title('phase_randomize') +pl.plot(mysurr.original_data[0]) +pl.plot(phase_random[0], color='r') + +# do phase randomize as in scot +phase_random_scot = mysurr.randomize_phase_scot(mysurr.original_data) + +pl.figure('phase_randomize_scot') +pl.title('phase_randomize_scot') +pl.plot(mysurr.original_data[0]) +pl.plot(phase_random_scot[0], color='r') + +check_power_spectrum(mysurr.original_data, phase_random) +check_power_spectrum(mysurr.original_data, phase_random_scot) + +pl.show() diff --git a/docs/build/html/_downloads/940e88cb8ee66ff2ea9bede4f6d0ce09/plot_suggest_bads.py b/docs/build/html/_downloads/940e88cb8ee66ff2ea9bede4f6d0ce09/plot_suggest_bads.py new file mode 100644 index 00000000..b9453f3e --- /dev/null +++ b/docs/build/html/_downloads/940e88cb8ee66ff2ea9bede4f6d0ce09/plot_suggest_bads.py @@ -0,0 +1,22 @@ +#!/usr/bin/env python +''' +==================== +Plot suggest bads. +==================== + +Example code to use the jumeg suggest bads functionality. +''' + +import os.path as op +import mne +from mne.datasets import sample +from jumeg import suggest_bads + +# provide the path of the filename: +data_path = sample.data_path() +subjects_dir = op.join(data_path, 'subjects') +raw_fname = op.join(data_path, 'MEG/sample/sample_audvis_raw.fif') + +raw = mne.io.Raw(raw_fname, preload=True) + +mybads, raw = suggest_bads(raw, show_raw=False, summary_plot=False) diff --git a/docs/build/html/_downloads/988f149f457b577ffba6a528d1a07829/plot_compare_jumeg_filters.py b/docs/build/html/_downloads/988f149f457b577ffba6a528d1a07829/plot_compare_jumeg_filters.py new file mode 100644 index 00000000..f7a450a7 --- /dev/null +++ b/docs/build/html/_downloads/988f149f457b577ffba6a528d1a07829/plot_compare_jumeg_filters.py @@ -0,0 +1,118 @@ +#!/usr/bin/env python +# coding: utf-8 + +''' +==================== +Filtering in jumeg. +==================== + +Comparison of the various filters available for use in mne/jumeg. +''' + +import os.path as op + +import numpy as np +import matplotlib.pyplot as plt + +import mne +from mne.datasets import sample + +from jumeg.filter import jumeg_filter + +data_path = sample.data_path() +raw_fname = op.join(data_path, 'MEG/sample/sample_audvis_raw.fif') + +# load the raw data +raw = mne.io.Raw(raw_fname, preload=True) +picks = mne.pick_types(raw.info, meg='mag', exclude='bads') +print('Sampling frequency is %f' % raw.info['sfreq']) + +# plot the raw psd +fig = raw.plot_psd(tmin=0.0, tmax=160., fmin=0, fmax=np.inf, + picks=picks, ax=None, color='black', area_mode='std', + area_alpha=0.33, n_overlap=0, dB=True, average=True, + show=False, n_jobs=4, line_alpha=None, + spatial_colors=None, xscale='linear', verbose='ERROR'); +fig.suptitle('Original sprectrum') + +l_freq, h_freq = 1., 45. + +# apply FIR filter +fir_filt = raw.copy().filter(l_freq, h_freq, picks=picks, filter_length='auto', + l_trans_bandwidth='auto', h_trans_bandwidth='auto', + n_jobs=4, method='fir', iir_params=None, phase='zero', + fir_window='hamming', verbose='ERROR') + +# apply IIR filter +filter_type = 'butter' +filt_method = 'fft' +iir_params={'ftype': filter_type, 'order': 4} + +# apply IIR filter +iir_filt = raw.copy().filter(l_freq, h_freq, picks=picks, filter_length='auto', + l_trans_bandwidth='auto', h_trans_bandwidth='auto', + n_jobs=4, method='iir', iir_params=iir_params, phase='zero', + fir_window='hamming', verbose='ERROR') + +# apply the jumeg filter using mne +filt_ju_mne = jumeg_filter(filter_method='mne', filter_type='bp', fcut1=l_freq, fcut2=h_freq, + remove_dcoffset=True, sampling_frequency=raw.info['sfreq'], + filter_window='hamming', notch=np.array([50., 60.]), + notch_width=1.0, order=4, njobs=4, + mne_filter_method='fft',mne_filter_length='10s', + trans_bandwith=0.5) +ju_mne_filt = raw.copy() # make a copy +ju_mne_filt._data = filt_ju_mne.apply_filter(ju_mne_filt._data, picks) + +# apply the jumeg filter using bw +filt_ju_bw = jumeg_filter(filter_method='bw', filter_type='bp', fcut1=l_freq, fcut2=h_freq, + remove_dcoffset=True, sampling_frequency=raw.info['sfreq'], + filter_window='hamming', notch=np.array([50., 60.]), + notch_width=1.0, order=4, njobs=4, + mne_filter_method='fft',mne_filter_length='10s', + trans_bandwith=0.5) +filt_ju_bw.verbose = False +ju_bw_filt = raw.copy() # make a copy +filt_ju_bw.apply_filter(ju_bw_filt._data, picks) + +fig, (ax1, ax2) = plt.subplots(1, 2) + +# plot the jumeg MNE and jumeg Butterworth filtered raw psds +ju_mne_filt.plot_psd(tmin=0.0, tmax=160., fmin=0, fmax=70., n_fft=None, + picks=picks, ax=ax1, color='blue', area_mode='std', + area_alpha=0.33, n_overlap=0, dB=True, average=True, + show=False, n_jobs=4, line_alpha=None, + spatial_colors=None, xscale='linear', verbose=None); + +ju_bw_filt.plot_psd(tmin=0.0, tmax=160., fmin=0, fmax=70., n_fft=None, + picks=picks, ax=ax1, color='green', area_mode='std', + area_alpha=0.33, n_overlap=0, dB=True, average=True, + show=False, n_jobs=4, line_alpha=None, + spatial_colors=None, xscale='linear', verbose=None); + +ax1.set_xlim(0., 75.); +ax1.set_title('jumeg MNE (blue)/jumeg BW (green)'); + +# plot the MNE FIR and IIR filterered raw psds +fir_filt.plot_psd(tmin=0.0, tmax=160., fmin=0, fmax=70., n_fft=None, + picks=picks, ax=ax2, color='red', area_mode='std', + area_alpha=0.33, n_overlap=0, dB=True, average=True, + show=False, n_jobs=4, line_alpha=None, + spatial_colors=None, xscale='linear', verbose='ERROR'); + +iir_filt.plot_psd(tmin=0.0, tmax=160., fmin=0., fmax=70., n_fft=None, + picks=picks, ax=ax2, color='yellow', area_mode='std', + area_alpha=0.33, n_overlap=0, dB=True, average=True, + show=False, n_jobs=4, line_alpha=None, + spatial_colors=None, xscale='linear', verbose='ERROR'); +ax2.set_xlim(0., 75.); +ax2.set_title('MNE FIR (red)/ MNE IIR (yellow)'); + +fig.tight_layout() +plt.show() + +# Recommendation: Presently, it is best to use the MNE FIR filter for our +# filtering requirements. The jumeg filter module (which wraps around mne +# filter) may be used when the MNE band_pass_filter needs to be combined with +# the notch_filter. In cases where the notch frequencies are removed using the +# noise reducer, the mne FIR filter can be directly used. diff --git a/docs/build/html/_downloads/9c31ae393e1a24842273a773606e228d/plot_labelled_connectivity_circle.py b/docs/build/html/_downloads/9c31ae393e1a24842273a773606e228d/plot_labelled_connectivity_circle.py new file mode 100644 index 00000000..5d2ea765 --- /dev/null +++ b/docs/build/html/_downloads/9c31ae393e1a24842273a773606e228d/plot_labelled_connectivity_circle.py @@ -0,0 +1,34 @@ +#!/usr/bin/env python3 + +""" +========== +Plot labelled connectivity circle +========== + +Example exposing the plot_labelled_group_connectivity_circle function. + +Author: Praveen Sripad + +""" +import os.path as op +from jumeg.connectivity import (plot_labelled_group_connectivity_circle, + generate_random_connectivity_matrix) +from jumeg import get_jumeg_path +import yaml + +# load the yaml grouping of Freesurfer labels +yaml_fname = op.join(get_jumeg_path(), 'data/rsn_desikan_aparc_cortex_grouping.yaml') +label_names_yaml_fname = op.join(get_jumeg_path(), 'data/desikan_label_names.yaml') + +with open(label_names_yaml_fname, 'r') as f: + label_names = yaml.safe_load(f)['label_names'] + +# make a random matrix with 68 nodes +con = generate_random_connectivity_matrix(size=(68, 68), symmetric=True) + +# plotting within a subplot +plot_labelled_group_connectivity_circle(yaml_fname, con, label_names, + out_fname='fig_rsn_circle.png', + show=False, n_lines=20, + fontsize_names=6, + title='test RSN circ labels') diff --git a/docs/build/html/_downloads/a324c3c446ad875d8a959af9e0191bd8/plot_generate_surrogate_connectivity.ipynb b/docs/build/html/_downloads/a324c3c446ad875d8a959af9e0191bd8/plot_generate_surrogate_connectivity.ipynb new file mode 100644 index 00000000..e97f6e5b --- /dev/null +++ b/docs/build/html/_downloads/a324c3c446ad875d8a959af9e0191bd8/plot_generate_surrogate_connectivity.ipynb @@ -0,0 +1,43 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\nSurrogate computation\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import os.path as op\nimport numpy as np\nimport matplotlib.pyplot as pl\n\nimport mne\nfrom mne_connectivity import spectral_connectivity_epochs\nfrom mne.datasets import sample\nfrom mne.minimum_norm import read_inverse_operator, apply_inverse_epochs\n\nfrom jumeg.jumeg_surrogates import Surrogates\n\ndata_path = sample.data_path()\nsubjects_dir = op.join(data_path, 'subjects')\n\nfname_inv = op.join(data_path, 'MEG/sample/sample_audvis-meg-oct-6-meg-inv.fif')\nfname_raw = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw.fif')\nfname_event = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw-eve.fif')\n\nraw = mne.io.read_raw_fif(fname_raw)\nevents = mne.read_events(fname_event)\ninverse_operator = read_inverse_operator(fname_inv)\n\n# add a bad channel\nraw.info['bads'] += ['MEG 2443']\n\n# pick MEG channels\npicks = mne.pick_types(raw.info, meg=True, eeg=False, stim=False, eog=False,\n exclude='bads')\n\n# Define epochs for left-auditory condition\nevent_id, tmin, tmax = 1, -0.2, 0.5\nepochs = mne.Epochs(raw, events, event_id, tmin, tmax, picks=picks,\n baseline=(None, 0), reject=dict(mag=4e-12, grad=4000e-13))\n\nsnr = 1.0 # use lower SNR for single epochs\nlambda2 = 1.0 / snr ** 2\nmethod = \"dSPM\" # use dSPM method (could also be MNE or sLORETA)\nstcs = apply_inverse_epochs(epochs, inverse_operator, lambda2, method,\n pick_ori=\"normal\", return_generator=False)\n\n# get labels for FreeSurfer 'aparc' cortical parcellation with 34 labels/hemi\nlabels = mne.read_labels_from_annot('sample', parc='aparc',\n subjects_dir=subjects_dir)\nlabel_colors = [label.color for label in labels]\n\n# average the source estimates within each label using sign-flips to reduce\n# signal cancellations, also here we can return a generator\nsrc = inverse_operator['src']\nlabel_ts = mne.extract_label_time_course(stcs, labels, src, mode='mean_flip',\n return_generator=False)\n\n# compute surrogates on the first STC extracted for 68 labels\nn_surr = 5\nfmin = 8.\nfmax = 13.\nsfreq = raw.info['sfreq'] # the sampling frequency\ncon_methods = ['coh', 'plv', 'wpli']\nn_rois = len(labels)\nfull_surr_con = np.zeros((3, n_rois, n_rois, 1, n_surr))\n\nreal_con = spectral_connectivity_epochs(\n label_ts, method=con_methods, mode='fourier', sfreq=sfreq,\n fmin=fmin, fmax=fmax, faverage=True, n_jobs=4)\n\n# get the data from SpectralConnectivity object and expand it\nreal_con = np.array([c.get_data(output='dense') for c in real_con])\n\n# loop through each of the label_ts from each epoch (i.e. 71)\n# for my_label_ts in label_ts:\nsurr_ts = Surrogates(np.array(label_ts))\nsurr_ts.original_data.shape\nsurr_label_ts = surr_ts.compute_surrogates(n_surr=n_surr,\n return_generator=True)\n\nfor ind_surr, surr in enumerate(surr_label_ts):\n con = spectral_connectivity_epochs(\n surr, method=con_methods, mode='fourier', sfreq=sfreq,\n fmin=fmin, fmax=fmax, faverage=True, n_jobs=4)\n\n con = np.array([c.get_data(output='dense') for c in con])\n\n # con now a list of arrays\n # con shape (method, n_signals, n_signals, n_freqs)\n full_surr_con[:, :, :, :, ind_surr] = con\n assert full_surr_con.flatten().max() <= 1., 'Maximum connectivity is above 1.'\n assert full_surr_con.flatten().min() >= 0., 'Minimum connectivity is 0.'\n\nsurr_ts.clear_cache()\n\n# visualize the surrogates\n# pl.plot(label_ts[0][0, :], 'b')\n# for lts in surr_label_ts:\n# pl.plot(lts[0, :], 'r')\n# pl.title('Extracted label time courses - real vs surrogates')\n# pl.show()\n\n\ndef sanity_check_con_matrix(con):\n '''\n Check if the connectivity matrix provided satisfies necessary conditions.\n This is done to ensure that the data remains clean and spurious values are\n easily detected.\n Expected a connectivity matrix of shape\n (n_methods x n_rois x n_rois x n_freqs x n_surr)\n '''\n n_methods, n_rois, n_rois, n_freqs, n_surr = con.shape\n assert np.any(con), 'Matrix is not all zeros.'\n assert not (con == con[0]).all(), 'All rows are equal - methods not different.'\n for surr in range(1, n_surr):\n assert not (con[:, :, :, :, surr] == con[:, :, :, :, 0]).all(), 'All surrogates are equal.'\n assert not np.triu(con[0, :, :, 0, surr]).any(), 'Matrices not symmetric.'\n\n\nsanity_check_con_matrix(full_surr_con)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/docs/build/html/_downloads/ad3e7613bd8ea8238efd5a0185ac58c8/do_compare_ica_methods.ipynb b/docs/build/html/_downloads/ad3e7613bd8ea8238efd5a0185ac58c8/do_compare_ica_methods.ipynb new file mode 100644 index 00000000..c8cd5503 --- /dev/null +++ b/docs/build/html/_downloads/ad3e7613bd8ea8238efd5a0185ac58c8/do_compare_ica_methods.ipynb @@ -0,0 +1,43 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# Compare ICA methods\n\nCompute the ica object on filtered data based on the mne and on the\njumeg method.\nCompare pca_mean_ and pre_whitener_ for:\nmne & filtered data, jumeg & filtered data, jumeg & unfiltered data\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import os.path as op\nimport mne\nfrom mne.preprocessing.ica import ICA as ICA_mne\nfrom jumeg.decompose.ica_replace_mean_std import ICA as ICA_jumeg\nfrom jumeg.decompose.ica_replace_mean_std import apply_ica_replace_mean_std\nfrom mne.datasets import sample\n\nflow = 1.\nfhigh = 45.\n\nreject = {'mag': 5e-12}\n\ndata_path = sample.data_path()\nsubjects_dir = op.join(data_path, 'subjects')\n\nfname_raw = op.join(data_path, 'MEG/sample/sample_audvis_raw.fif')\n\nraw = mne.io.Raw(fname_raw, preload=True)\nraw_filt = raw.copy().filter(flow, fhigh, method='fir', n_jobs=2, fir_design='firwin', phase='zero')\n\n# use 60s of data\nraw_filt.crop(0, 60)\nraw.crop(0, 60)\nraw_unfilt = raw.copy()\n\npicks = mne.pick_types(raw.info, meg=True, exclude='bads')\n\nica_mne = ICA_mne(method='fastica', n_components=60, random_state=42,\n max_pca_components=None, max_iter=5000, verbose=False)\n\n# fit ica object from mne to filtered data\nica_mne.fit(raw_filt, picks=picks, reject=reject, verbose=True)\n\n# save mean and standard deviation of filtered MEG channels for the standard mne routine\npca_mean_filt_mne = ica_mne.pca_mean_.copy()\npca_pre_whitener_filt_mne = ica_mne.pre_whitener_.copy() # this is the standard deviation of MEG channels\n\n\nica_jumeg = ICA_jumeg(method='fastica', n_components=60, random_state=42,\n max_pca_components=None, max_iter=5000, verbose=False)\n\n# fit ica object from jumeg to filtered data\nica_jumeg.fit(raw_filt, picks=picks, reject=reject, verbose=True)\n\n# save mean and standard deviation of filtered MEG channels for the standard mne routine\npca_mean_filt_jumeg = ica_jumeg.pca_mean_.copy()\npca_pre_whitener_filt_jumeg = ica_jumeg.pre_whitener_.copy() # this is the standard deviation of MEG channels\n\n# use the same arguments for apply_ica_replace_mean_std as when you are initializing the ICA\n# object and when you are fitting it to the data\n# the ica object is modified in place!!\n\n# apply ica object from jumeg to unfiltered data while replacing the mean and std\nraw_clean = apply_ica_replace_mean_std(raw_unfilt, ica_jumeg, picks=picks, reject=reject, exclude=ica_mne.exclude,\n n_pca_components=None)\n\n# save mean and standard deviation of unfiltered MEG channels\npca_mean_replaced_unfilt_jumeg = ica_jumeg.pca_mean_\npca_pre_whitener_replaced_unfilt_jumeg = ica_jumeg.pre_whitener_\n\n# compare methods for filtered and unfiltered data\nfor idx in range(0, len(pca_mean_filt_mne)):\n print('%10.6f\\t%10.6f\\t%10.6f' % (pca_mean_filt_mne[idx], pca_mean_filt_jumeg[idx],\n pca_mean_replaced_unfilt_jumeg[idx]))\n if idx >= 9:\n break\n\nfor idx in range(0, len(pca_pre_whitener_filt_mne)):\n print(pca_pre_whitener_filt_mne[idx], pca_pre_whitener_filt_jumeg[idx],\\\n pca_pre_whitener_replaced_unfilt_jumeg[idx])\n if idx >= 9:\n break" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/docs/build/html/_downloads/b48da817960af40bd9f0efb42867a8c0/plot_communities.ipynb b/docs/build/html/_downloads/b48da817960af40bd9f0efb42867a8c0/plot_communities.ipynb new file mode 100644 index 00000000..563e1eed --- /dev/null +++ b/docs/build/html/_downloads/b48da817960af40bd9f0efb42867a8c0/plot_communities.ipynb @@ -0,0 +1,43 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# Plot network communities\n\nPlot Networkx Communities on a connectome plot.\n\nAuthor: Praveen Sripad \n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import os.path as op\nimport numpy as np\nimport matplotlib.pyplot as plt\n\nimport mne\nfrom mne.datasets import sample\nfrom jumeg.connectivity.con_utils import make_communities\nfrom jumeg.connectivity import generate_random_connectivity_matrix\n\nfrom nilearn import plotting\n\ndata_path = sample.data_path()\nsubjects_dir = op.join(data_path, 'subjects')\nsubject = 'fsaverage'\naparc = mne.read_labels_from_annot(subject, subjects_dir=subjects_dir,\n parc='aparc')\n\n# make a random connectivity matrix\ncon = generate_random_connectivity_matrix(size=(34, 34), symmetric=True)\n\ntop_nodes_list, n_communities = make_communities(con)\n\n# FIXME better colouring\n# cmaps_list = ['Pastel1', 'Pastel2', 'Paired', 'Accent',\n# 'Dark2', 'Set1', 'Set2', 'Set3',\n# 'tab10', 'tab20', 'tab20b', 'tab20c']\n# color_list = plt.cm.Pastel1(np.linspace(0, 1, len(top_nodes_list)))\n\ncolor_list = ['red', 'orange', 'green', 'purple', 'navy', 'blue']\ncmaps_list = ['Reds', 'Oranges', 'Greens', 'Purples', 'PuBu', 'Blues']\n\nfig = plt.figure(facecolor='w', edgecolor='w')\n\nfor top_nodes, col, cmap in zip(top_nodes_list, color_list, cmaps_list):\n\n coords = []\n community_ = [aparc[tp] for tp in top_nodes]\n\n for lab in community_:\n if lab.name == 'unknown-lh':\n continue\n print(lab.name)\n # get the center of mass\n com = lab.center_of_mass('fsaverage')\n if lab.name.endswith('lh'):\n # obtain mni coordinated to the vertex from left hemi\n coords_ = mne.vertex_to_mni(com, hemis=0, subject=subject,\n subjects_dir=subjects_dir)\n else:\n coords_ = mne.vertex_to_mni(com, hemis=1, subject=subject,\n subjects_dir=subjects_dir)\n coords.append(coords_)\n\n n_nodes = np.array(coords).shape[0]\n # make a dummy connectivity matrix\n # FIXME use the existing con matrix with indices chosen instead\n con_ = np.ones((n_nodes, n_nodes)) / 2.\n con_[np.diag_indices(n_nodes)] = 0.\n con_[np.triu_indices(n_nodes, k=1)] = 0.\n con_ += con_.T\n\n # plot the connectome on a glass brain background\n plotting.plot_connectome(con_, coords, node_color=col, edge_cmap=cmap,\n figure=fig, edge_vmin=0., edge_vmax=1.)\n\nplt.show()\n# plt.savefig('fig_communities.png')" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/docs/build/html/_downloads/b6bae98afd5c4bf61555baf269e4b06c/plot_test_transform_mni_to_ras.ipynb b/docs/build/html/_downloads/b6bae98afd5c4bf61555baf269e4b06c/plot_test_transform_mni_to_ras.ipynb new file mode 100644 index 00000000..fe6086b2 --- /dev/null +++ b/docs/build/html/_downloads/b6bae98afd5c4bf61555baf269e4b06c/plot_test_transform_mni_to_ras.ipynb @@ -0,0 +1,43 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\nTo plot a vertex point, convert it to MNI coordinates and then reconvert it back to RAS to obtain the vertex number.\n\nIt works when 'fsaverage' subject is used, but does not when any other subjects are used.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import os\nimport os.path as op\nimport mne\nfrom mne.datasets import sample\nfrom surfer import utils\n\nprint(__doc__)\n\ndata_path = sample.data_path()\nfname_inv = op.join(data_path, 'MEG/sample/sample_audvis-meg-oct-6-meg-inv.fif')\nfname_evoked = op.join(data_path, 'MEG/sample/sample_audvis-ave.fif')\nsubjects_dir = op.join(data_path, 'subjects')\nos.environ['SUBJECTS_DIR'] = subjects_dir\n\nstc_fname = op.join(data_path, 'MEG/sample/sample_audvis-meg')\nstc = mne.read_source_estimate(stc_fname)\n\nmorph = mne.compute_source_morph(stc, subject_from='sample',\n subject_to='fsaverage', spacing=5, subjects_dir=subjects_dir)\nnew_stc = morph.apply(stc)\n\nsubject = 'fsaverage'\n\n# Plot brain in 3D with PySurfer if available\nbrain = new_stc.plot(subject, hemi='lh',\n subjects_dir=subjects_dir, backend='pyvistaqt')\nbrain.show_view('lateral')\n\n# use peak getter to move vizualization to the time point of the peak\nvertno_max, time_idx = new_stc.get_peak(hemi='lh', time_as_index=True)\n\nbrain.set_time_point(time_idx)\n\n# draw marker at maximum peaking vertex\nbrain.add_foci(vertno_max, coords_as_verts=True, hemi='lh', color='blue',\n scale_factor=0.6, map_surface='white')\n\nmni_coords = mne.vertex_to_mni(vertno_max, hemis=0, subject=subject,\n subjects_dir=subjects_dir)\nprint('The MNI coords are ', mni_coords)\n\n# my_trans = mne.read_trans(?)\n# src_pts = apply_trans(trans, some_tgt_pts)\n\nutils.coord_to_label(subject, mni_coords, label='mycoord',\n hemi='lh', n_steps=25, map_surface=\"white\")\nbrain.add_label('mycoord-lh.label', color=\"darkseagreen\", alpha=.8)\n\n# if the new mni_coords are computed\nbrain.add_foci(mni_coords, coords_as_verts=False, hemi='lh',\n color='red', scale_factor=0.6)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/docs/build/html/_downloads/b6df76fdd66cdda91b0547c0303a05c0/plot_perform_mft_surface_list.py b/docs/build/html/_downloads/b6df76fdd66cdda91b0547c0303a05c0/plot_perform_mft_surface_list.py new file mode 100644 index 00000000..f91fc1a5 --- /dev/null +++ b/docs/build/html/_downloads/b6df76fdd66cdda91b0547c0303a05c0/plot_perform_mft_surface_list.py @@ -0,0 +1,137 @@ +""" +==================== +Jumeg MFT example. +==================== + +Perform MFT on a surface based forward solution. +""" + +import os.path as op +import numpy as np +import mne +from mne.datasets import sample +from jumeg.mft import (apply_mft, jumeg_mft_plot) + +data_path = sample.data_path() +subject = 'sample' +subjects_dir = op.join(data_path, 'subjects') +fwdname = op.join(data_path, 'MEG/sample/sample_audvis-meg-oct-6-fwd.fif') +lblname = 'aparc' +evoname = op.join(data_path, 'MEG/sample/sample_audvis-ave.fif') +evocondition = 'Left Auditory' +rawname = op.join(data_path, 'MEG/sample/sample_audvis_10s-raw.fif') +t1_fname = op.join(subjects_dir, 'sample/mri/T1.mgz') + +# Set up pick list: MEG - bad channels +want_meg = 'mag' +want_ref = False +want_eeg = False +want_stim = False +exclude = 'bads' +include = [] + +print("########## MFT parameters:") +mftpar = {'prbfct': 'Gauss', + 'prbcnt': np.array([[0.039, 0.013, 0.062], [-0.039, 0.013, 0.062]]), + 'prbhw': np.array([[0.040, 0.040, 0.040], [0.040, 0.040, 0.040]])} +# mftpar = {'prbfct': 'uniform', +# 'prbcnt': None, +# 'prbhw': None} +mftpar.update({'iter': 2, 'currexp': 1.0}) +mftpar.update({'regtype': 'PzetaE', 'zetareg': 1.00}) +# mftpar.update({ 'regtype':'classic', 'zetareg':1.0}) +mftpar.update({'solver': 'lu', 'svrelcut': 5.e-4}) + +print("mftpar['prbcnt' ] = ", mftpar['prbcnt']) +print("mftpar['prbhw' ] = ", mftpar['prbhw']) +print("mftpar['iter' ] = ", mftpar['iter']) +print("mftpar['regtype' ] = ", mftpar['regtype']) +print("mftpar['zetareg' ] = ", mftpar['zetareg']) +print("mftpar['solver' ] = ", mftpar['solver']) +print("mftpar['svrelcut'] = ", mftpar['svrelcut']) +cdmcut = 0.10 +print("cdmcut = ", cdmcut) + +print("########## get labels:") +if lblname is not None: + labels = mne.read_labels_from_annot(subject, parc=lblname, + subjects_dir=subjects_dir) +else: + labels = None + +print("##########################") +print("##### Calling apply_mft()") +print("##########################") +iterlist = [0, 1, 2] +fwdmag, qualmft, stc_mftl = apply_mft(fwdname, evoname, evocondition=evocondition, + subject=subject, meg=want_meg, iterlist=iterlist, + calccdm='all', cdmcut=cdmcut, cdmlabels=labels, + mftpar=mftpar, verbose='verbose') + +evo = mne.read_evokeds(evoname, condition=evocondition, baseline=(None, 0)) +tstep = 1. / evo.info['sfreq'] + +if iterlist == None: + stc_mft = stc_mftl +else: + stc_mft = stc_mftl[-1] +stcdata = stc_mft.data +tmin = stc_mft.tmin + +print(" ") +print("########## Some geo-numbers:") +lhinds = np.where(fwdmag['source_rr'][:, 0] <= 0.) +rhinds = np.where(fwdmag['source_rr'][:, 0] > 0.) +print("> Discriminating lh/rh by sign of fwdmag['source_rr'][:,0]:") +print("> lhinds[0].shape[0] = ", lhinds[0].shape[0], " rhinds[0].shape[0] = ", rhinds[0].shape[0]) +invmri_head_t = mne.transforms.invert_transform(fwdmag['info']['mri_head_t']) +mrsrc = np.zeros(fwdmag['source_rr'].shape) +mrsrc = mne.transforms.apply_trans(invmri_head_t['trans'], fwdmag['source_rr'], move=True) +lhmrinds = np.where(mrsrc[:, 0] <= 0.) +rhmrinds = np.where(mrsrc[:, 0] > 0.) +print("> Discriminating lh/rh by sign of fwdmag['source_rr'][:,0] in MR coords:") +print("> lhmrinds[0].shape[0] = ", lhmrinds[0].shape[0], " rhmrinds[0].shape[0] = ", rhmrinds[0].shape[0]) + +# plotting routines +jumeg_mft_plot.plot_global_cdv_dist(stcdata) +jumeg_mft_plot.plot_visualize_mft_sources(fwdmag, stcdata, tmin=tmin, tstep=tstep, + subject=subject, subjects_dir=subjects_dir) +jumeg_mft_plot.plot_cdv_distribution(fwdmag, stcdata) +jumeg_mft_plot.plot_max_amplitude_data(fwdmag, stcdata, tmin=tmin, tstep=tstep, + subject=subject) +jumeg_mft_plot.plot_max_cdv_data(stc_mft, lhmrinds, rhmrinds) +jumeg_mft_plot.plot_cdvsum_data(stc_mft, lhmrinds, rhmrinds) +jumeg_mft_plot.plot_quality_data(qualmft, stc_mft) +jumeg_mft_plot.plot_cdm_data(qualmft, stc_mft, cdmlabels=labels) +jumeg_mft_plot.plot_jlong_labeldata(qualmft, stc_mft, labels) +jumeg_mft_plot.plot_jtotal_labeldata(qualmft, stc_mft, labels) + +jumeg_mft_plot.plot_jlong_data(qualmft, stc_mft) + +print_transforms = False +if print_transforms: + print("##### Transforms:") + print("fwdmag['info']['mri_head_t']:") + print(fwdmag['info']['mri_head_t']) + invmri_head_t = mne.transforms.invert_transform(fwdmag['info']['mri_head_t']) + print("Inverse of fwdmag['info']['mri_head_t']:") + print(invmri_head_t) + +write_tab_files = True +if write_tab_files: + tabfilenam = 'testtab_stc.dat' + time_idx = np.argmax(np.max(stcdata, axis=0)) + print("##### Creating %s with |cdv(time_idx=%d)|" % (tabfilenam, time_idx)) + tabfile = open(tabfilenam, mode='w') + cdvnmax = np.max(stcdata[:, time_idx]) + n_loc = stcdata.shape[0] + tabfile.write("# time_idx = %d\n" % time_idx) + tabfile.write("# max amplitude = %11.4e\n" % cdvnmax) + tabfile.write("# x/mm y/mm z/mm |cdv| index\n") + for ipnt in range(int(n_loc / 3)): + copnt = 1000. * fwdmag['source_rr'][ipnt] + tabfile.write(" %7.2f %7.2f %7.2f %11.4e %5d\n" % \ + (copnt[0], copnt[1], copnt[2], stcdata[ipnt, time_idx], ipnt)) + tabfile.close() + +print("Done.") diff --git a/docs/build/html/_downloads/b7aef1f36035a0808fcf7f51751a6f64/plot_destriux_atlas_based_connectivity.ipynb b/docs/build/html/_downloads/b7aef1f36035a0808fcf7f51751a6f64/plot_destriux_atlas_based_connectivity.ipynb new file mode 100644 index 00000000..976ae213 --- /dev/null +++ b/docs/build/html/_downloads/b7aef1f36035a0808fcf7f51751a6f64/plot_destriux_atlas_based_connectivity.ipynb @@ -0,0 +1,43 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# Plot Destriux Atlas\n\nRead grouped aparc labels from yaml file.\n\nPlot grouped connectivity circle with these grouped labels\nfor the Destriux atlas.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import os.path as op\nfrom jumeg import get_jumeg_path\nfrom jumeg.connectivity import (plot_grouped_connectivity_circle,\n generate_random_connectivity_matrix)\nimport yaml\n\ngrouping_yaml_fname = op.join(get_jumeg_path(), 'data/destriux_aparc_cortex_based_grouping.yaml')\nlabel_names_yaml_fname = op.join(get_jumeg_path(), 'data/destriux_label_names.yaml')\n\nwith open(label_names_yaml_fname, 'r') as f:\n label_names = yaml.safe_load(f)['label_names']\n\n# make a random matrix with 148 nodes\ncon = generate_random_connectivity_matrix(size=(148, 148), symmetric=True)\ncon[con < 0.5] = 0.\n\n# plot grouped connnectivity\nplot_grouped_connectivity_circle(grouping_yaml_fname, con, label_names,\n labels_mode=None, colorbar_pos=(0.1, 0.1),\n replacer_dict=None,\n out_fname='fig_destriux_circle.png',\n n_lines=50, colorbar=True)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/docs/build/html/_downloads/b81b00963d15008d3cfddafaf2e024c1/plot_generate_surrogate_stcs.py b/docs/build/html/_downloads/b81b00963d15008d3cfddafaf2e024c1/plot_generate_surrogate_stcs.py new file mode 100644 index 00000000..6df3704d --- /dev/null +++ b/docs/build/html/_downloads/b81b00963d15008d3cfddafaf2e024c1/plot_generate_surrogate_stcs.py @@ -0,0 +1,71 @@ +#!/usr/bin/env python + +''' +============= +Generate surrogate STCs +============= + + +Example to show surrogate generation on STCs using the jumeg Surrogates +module. +''' + +import os.path as op +import numpy as np +import matplotlib.pyplot as pl + +from mne.datasets import sample +from mne.minimum_norm import read_inverse_operator, apply_inverse_epochs +import mne + +from jumeg.jumeg_surrogates import Surrogates, check_power_spectrum + +data_path = sample.data_path() +subjects_dir = op.join(data_path, 'subjects') + +fname_inv = op.join(data_path, 'MEG/sample/sample_audvis-meg-oct-6-meg-inv.fif') +fname_raw = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw.fif') +fname_event = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw-eve.fif') + +stcs_testing = True + +raw = mne.io.read_raw_fif(fname_raw) +events = mne.read_events(fname_event) +inverse_operator = read_inverse_operator(fname_inv) + +# add a bad channel +raw.info['bads'] += ['MEG 2443'] + +# pick MEG channels +picks = mne.pick_types(raw.info, meg=True, eeg=False, stim=False, eog=False, + exclude='bads') + +# define epochs for left-auditory condition +event_id, tmin, tmax = 1, -0.2, 0.5 +epochs = mne.Epochs(raw, events, event_id, tmin, tmax, picks=picks, + baseline=(None, 0), reject=dict(mag=4e-12, grad=4000e-13)) + + +snr = 1.0 # use lower SNR for single epochs +lambda2 = 1.0 / snr ** 2 +method = "dSPM" # use dSPM method (could also be MNE or sLORETA) +stcs = apply_inverse_epochs(epochs, inverse_operator, lambda2, method, + pick_ori="normal", return_generator=False) + +# compute surrogates for one STC +surr_stcs = Surrogates(stcs[0]) +mysurr = surr_stcs.compute_surrogates(n_surr=10, return_generator=False) + +# check if surrogates are correctly computed +assert not np.array_equal(mysurr[0].data, + mysurr[1].data), 'Surrogates mostly equal' +assert not np.array_equal(stcs[0].data, + mysurr[2].data), 'Surrogates equal to original' + +# visualize results by plotting 1 the average across voxels +# of original and surrogate STC +pl.plot(stcs[0].data.mean(axis=0)) +for i in mysurr: + pl.plot(i.data.mean(axis=0), color='r') +pl.title('Averaged real vs surrogate source time courses') +pl.show() diff --git a/docs/build/html/_downloads/bbd16d5327114c752932eb3a4949b572/plot_perform_mft_volume.py b/docs/build/html/_downloads/bbd16d5327114c752932eb3a4949b572/plot_perform_mft_volume.py new file mode 100644 index 00000000..016b57f3 --- /dev/null +++ b/docs/build/html/_downloads/bbd16d5327114c752932eb3a4949b572/plot_perform_mft_volume.py @@ -0,0 +1,130 @@ +""" +==================== +Jumeg MFT volume. +==================== +""" + +import os.path as op +import numpy as np +import mne +from mne.datasets import sample +from jumeg.mft import (apply_mft, jumeg_mft_plot) + +data_path = sample.data_path() +subject = 'sample' +subjects_dir = op.join(data_path, 'subjects') +fwdname = op.join(data_path, 'MEG/sample/sample_audvis-meg-vol-7-fwd.fif') +evoname = op.join(data_path, 'MEG/sample/sample_audvis-ave.fif') +evocondition = 'Left Auditory' +rawname = op.join(data_path, 'MEG/sample/sample_audvis_10s-raw.fif') +t1_fname = op.join(subjects_dir, 'sample/mri/T1.mgz') + +# Set up pick list: MEG - bad channels +want_meg = 'mag' +want_ref = False +want_eeg = False +want_stim = False +exclude = 'bads' +include = [] + +print("########## MFT parameter:") +mftpar = {'prbfct': 'Gauss', + 'prbcnt': np.array([[-1.039, 0.013, 0.062], [-0.039, 0.013, 0.062]]), + 'prbhw': np.array([[0.040, 0.040, 0.040], [0.040, 0.040, 0.040]])} +# mftpar = { 'prbfct': 'uniform', +# 'prbcnt': None, +# 'prbhw': None} +mftpar.update({'iter': 4, 'currexp': 1.0}) +mftpar.update({'regtype': 'PzetaE', 'zetareg': 1.00}) +# mftpar.update({ 'regtype':'classic', 'zetareg':1.0}) +mftpar.update({'solver': 'lu', 'svrelcut': 5.e-4}) + +print("mftpar['prbcnt' ] = ", mftpar['prbcnt']) +print("mftpar['prbhw' ] = ", mftpar['prbhw']) +print("mftpar['iter' ] = ", mftpar['iter']) +print("mftpar['regtype' ] = ", mftpar['regtype']) +print("mftpar['zetareg' ] = ", mftpar['zetareg']) +print("mftpar['solver' ] = ", mftpar['solver']) +print("mftpar['svrelcut'] = ", mftpar['svrelcut']) +cdmcut = 0.10 +print("cdmcut = ", cdmcut) + +print("##########################") +print("##### Read fwd-soln:") +print("##########################") +fwd = mne.read_forward_solution(fwdname, verbose=True) + +# Select magnetometer channels: +fwdmag = mne.io.pick.pick_types_forward(fwd, meg=want_meg, ref_meg=False, + eeg=False, exclude=exclude) + +print(" ") +print("########## Some geo-numbers:") +lhinds = np.where(fwdmag['source_rr'][:, 0] <= 0.) +rhinds = np.where(fwdmag['source_rr'][:, 0] > 0.) +ypinds = np.where(fwdmag['source_rr'][:, 1] > 0.) +yninds = np.where(fwdmag['source_rr'][:, 1] <= 0.) +lhfinds = np.array(np.setdiff1d(lhinds[0], ypinds[0])) +lhbinds = np.array(np.setdiff1d(lhinds[0], yninds[0])) +rhfinds = np.array(np.setdiff1d(rhinds[0], ypinds[0])) +rhbinds = np.array(np.setdiff1d(rhinds[0], yninds[0])) +print("> Discriminating lh/rh by sign of fwdmag['source_rr'][:,0]:") +print("> lhinds[0].shape[0] = ", lhinds[0].shape[0], " rhinds[0].shape[0] = ", rhinds[0].shape[0]) +invmri_head_t = mne.transforms.invert_transform(fwdmag['info']['mri_head_t']) +mrsrc = np.zeros(fwdmag['source_rr'].shape) +mrsrc = mne.transforms.apply_trans(invmri_head_t['trans'], fwdmag['source_rr'], move=True) +lhmrinds = np.where(mrsrc[:, 0] <= 0.) +rhmrinds = np.where(mrsrc[:, 0] > 0.) +print("> Discriminating lh/rh by sign of fwdmag['source_rr'][:,0] in MR coords:") +print("> lhmrinds[0].shape[0] = ", lhmrinds[0].shape[0], " rhmrinds[0].shape[0] = ", rhmrinds[0].shape[0]) + +print("########## prepare to put labels into label-files:") +mylablist = [] +# mylab = mne.Label(lhinds[0],pos=fwdmag['source_rr'][lhinds[0],:],hemi='lh',name='test_lh', verbose=True) +# mylablist.append(mylab) +# mylab = mne.Label(rhinds[0],pos=fwdmag['source_rr'][rhinds[0],:],hemi='rh',name='test_rh', verbose=True) +# mylablist.append(mylab) + +# mylab = mne.Label(lhfinds,pos=fwdmag['source_rr'][lhfinds,:],hemi='lhf',name='test_lhf', verbose=True) +# mylablist.append(mylab) +# mylab = mne.Label(lhbinds,pos=fwdmag['source_rr'][lhbinds,:],hemi='lhb',name='test_lhb', verbose=True) +# mylablist.append(mylab) +# mylab = mne.Label(rhfinds,pos=fwdmag['source_rr'][rhfinds,:],hemi='rhf',name='test_rhf', verbose=True) +# mylablist.append(mylab) +# mylab = mne.Label(rhbinds,pos=fwdmag['source_rr'][rhbinds,:],hemi='rhb',name='test_rhb', verbose=True) +# mylablist.append(mylab) + +print("##################################") +print("##### Calling apply_mft(mylablist)") +print("##################################") +fwdmag, qualmft, stc_mft = apply_mft(fwdname, evoname, evocondition=evocondition, + subject=subject, meg=want_meg, + calccdm='all', cdmcut=cdmcut, cdmlabels=mylablist, + mftpar=mftpar, verbose='verbose') + +evo = mne.read_evokeds(evoname, condition=evocondition, baseline=(None, 0)) +tmin = -0.2 +tstep = 1. / evo.info['sfreq'] +stcdata = stc_mft.data + +# plotting routines +jumeg_mft_plot.plot_global_cdv_dist(stcdata) +# print ">>>>> skipping jumeg_mft_plot.plot_visualize_mft_sources() (fails due to old PySurfer-version)" +jumeg_mft_plot.plot_visualize_mft_sources(fwdmag, stcdata, tmin=tmin, tstep=tstep, + subject=subject, subjects_dir=subjects_dir) +jumeg_mft_plot.plot_cdv_distribution(fwdmag, stcdata) +jumeg_mft_plot.plot_max_amplitude_data(fwdmag, stcdata, tmin=tmin, tstep=tstep, + subject=subject) +jumeg_mft_plot.plot_max_cdv_data(stc_mft, lhmrinds, rhmrinds) +jumeg_mft_plot.plot_cdvsum_data(stc_mft, lhmrinds, rhmrinds) +jumeg_mft_plot.plot_quality_data(qualmft, stc_mft) +jumeg_mft_plot.plot_cdm_data(qualmft, stc_mft) + +jumeg_mft_plot.plot_cdm_data(qualmft, stc_mft, cdmlabels=mylablist) +jumeg_mft_plot.plot_jlong_labeldata(qualmft, stc_mft, mylablist) +jumeg_mft_plot.plot_jtotal_labeldata(qualmft, stc_mft, mylablist) + +jumeg_mft_plot.plot_cdm_data(qualmft, stc_mft) +jumeg_mft_plot.plot_jlong_data(qualmft, stc_mft) + +print("Done.") diff --git a/docs/build/html/_downloads/bd1ccb21bb215d6927165fdc98a48ee4/plot_custom_grouped_connectivity_circle.py b/docs/build/html/_downloads/bd1ccb21bb215d6927165fdc98a48ee4/plot_custom_grouped_connectivity_circle.py new file mode 100644 index 00000000..29b01a22 --- /dev/null +++ b/docs/build/html/_downloads/bd1ccb21bb215d6927165fdc98a48ee4/plot_custom_grouped_connectivity_circle.py @@ -0,0 +1,67 @@ +#!/usr/bin/env python + +""" +============= +Plot Custom Grouped Circle +============= + +Example how to create a custom label groups and plot grouped connectivity +circle with these labels. + +Author: Praveen Sripad + Christian Kiefer +""" + +import os.path as op +import matplotlib.pyplot as plt +from jumeg import get_jumeg_path +from jumeg.connectivity import (plot_grouped_connectivity_circle, + generate_random_connectivity_matrix) + +import yaml + +labels_fname = op.join(get_jumeg_path(), 'data/desikan_label_names.yaml') +replacer_dict_fname = op.join(get_jumeg_path(), 'data/replacer_dictionaries.yaml') + +with open(labels_fname, 'r') as f: + label_names = yaml.safe_load(f)['label_names'] + +with open(replacer_dict_fname, 'r') as f: + replacer_dict = yaml.safe_load(f)['replacer_dict_aparc'] + +# make a random matrix with 68 nodes +con = generate_random_connectivity_matrix(size=(68, 68), symmetric=True) + +# make groups based on lobes +occipital = ['lateraloccipital', 'lingual', 'cuneus', 'pericalcarine'] +parietal = ['superiorparietal', 'inferiorparietal', 'precuneus', + 'postcentral', 'supramarginal'] +temporal = ['bankssts', 'temporalpole', 'superiortemporal', 'middletemporal', + 'transversetemporal', 'inferiortemporal', 'fusiform', + 'entorhinal', 'parahippocampal'] +insula = ['insula'] +cingulate = ['rostralanteriorcingulate', 'caudalanteriorcingulate', + 'posteriorcingulate', 'isthmuscingulate'] +frontal = ['superiorfrontal', 'rostralmiddlefrontal', 'caudalmiddlefrontal', + 'parsopercularis', 'parsorbitalis', 'parstriangularis', + 'lateralorbitofrontal', 'medialorbitofrontal', 'precentral', + 'paracentral', 'frontalpole'] + +# we need a list of dictionaries, one dict for each group to denote grouping +label_groups = [{'occipital': occipital}, {'parietal': parietal}, + {'temporal': temporal}, {'insula': insula}, + {'cingulate': cingulate}, + {'frontal': frontal}] + +n_colors = len(label_groups) +cmap = plt.get_cmap('Pastel1') +cortex_colors = cmap.colors[:n_colors] + cmap.colors[:n_colors][::-1] + +# plot simple connectivity circle with cortex based grouping and colors +plot_grouped_connectivity_circle(label_groups, con, label_names, + labels_mode='replace', + replacer_dict=replacer_dict, + cortex_colors=cortex_colors, vmin=0., vmax=1., + out_fname='fig_grouped_con_circle_cortex.png', + colorbar_pos=(0.1, 0.1), n_lines=50, colorbar=True, + colormap='viridis') diff --git a/docs/build/html/_downloads/bd6fb30c4de3cecd4985c36599d541fd/do_compare_ica_methods.py b/docs/build/html/_downloads/bd6fb30c4de3cecd4985c36599d541fd/do_compare_ica_methods.py new file mode 100644 index 00000000..aa4098fd --- /dev/null +++ b/docs/build/html/_downloads/bd6fb30c4de3cecd4985c36599d541fd/do_compare_ica_methods.py @@ -0,0 +1,83 @@ +""" +========== +Compare ICA methods +========== + +Compute the ica object on filtered data based on the mne and on the +jumeg method. +Compare pca_mean_ and pre_whitener_ for: +mne & filtered data, jumeg & filtered data, jumeg & unfiltered data +""" + +import os.path as op +import mne +from mne.preprocessing.ica import ICA as ICA_mne +from jumeg.decompose.ica_replace_mean_std import ICA as ICA_jumeg +from jumeg.decompose.ica_replace_mean_std import apply_ica_replace_mean_std +from mne.datasets import sample + +flow = 1. +fhigh = 45. + +reject = {'mag': 5e-12} + +data_path = sample.data_path() +subjects_dir = op.join(data_path, 'subjects') + +fname_raw = op.join(data_path, 'MEG/sample/sample_audvis_raw.fif') + +raw = mne.io.Raw(fname_raw, preload=True) +raw_filt = raw.copy().filter(flow, fhigh, method='fir', n_jobs=2, fir_design='firwin', phase='zero') + +# use 60s of data +raw_filt.crop(0, 60) +raw.crop(0, 60) +raw_unfilt = raw.copy() + +picks = mne.pick_types(raw.info, meg=True, exclude='bads') + +ica_mne = ICA_mne(method='fastica', n_components=60, random_state=42, + max_pca_components=None, max_iter=5000, verbose=False) + +# fit ica object from mne to filtered data +ica_mne.fit(raw_filt, picks=picks, reject=reject, verbose=True) + +# save mean and standard deviation of filtered MEG channels for the standard mne routine +pca_mean_filt_mne = ica_mne.pca_mean_.copy() +pca_pre_whitener_filt_mne = ica_mne.pre_whitener_.copy() # this is the standard deviation of MEG channels + + +ica_jumeg = ICA_jumeg(method='fastica', n_components=60, random_state=42, + max_pca_components=None, max_iter=5000, verbose=False) + +# fit ica object from jumeg to filtered data +ica_jumeg.fit(raw_filt, picks=picks, reject=reject, verbose=True) + +# save mean and standard deviation of filtered MEG channels for the standard mne routine +pca_mean_filt_jumeg = ica_jumeg.pca_mean_.copy() +pca_pre_whitener_filt_jumeg = ica_jumeg.pre_whitener_.copy() # this is the standard deviation of MEG channels + +# use the same arguments for apply_ica_replace_mean_std as when you are initializing the ICA +# object and when you are fitting it to the data +# the ica object is modified in place!! + +# apply ica object from jumeg to unfiltered data while replacing the mean and std +raw_clean = apply_ica_replace_mean_std(raw_unfilt, ica_jumeg, picks=picks, reject=reject, exclude=ica_mne.exclude, + n_pca_components=None) + +# save mean and standard deviation of unfiltered MEG channels +pca_mean_replaced_unfilt_jumeg = ica_jumeg.pca_mean_ +pca_pre_whitener_replaced_unfilt_jumeg = ica_jumeg.pre_whitener_ + +# compare methods for filtered and unfiltered data +for idx in range(0, len(pca_mean_filt_mne)): + print('%10.6f\t%10.6f\t%10.6f' % (pca_mean_filt_mne[idx], pca_mean_filt_jumeg[idx], + pca_mean_replaced_unfilt_jumeg[idx])) + if idx >= 9: + break + +for idx in range(0, len(pca_pre_whitener_filt_mne)): + print(pca_pre_whitener_filt_mne[idx], pca_pre_whitener_filt_jumeg[idx],\ + pca_pre_whitener_replaced_unfilt_jumeg[idx]) + if idx >= 9: + break diff --git a/docs/build/html/_downloads/c1cc30f1797ae60c2483e04541eb834b/plot_circle_lines_and_blobs.ipynb b/docs/build/html/_downloads/c1cc30f1797ae60c2483e04541eb834b/plot_circle_lines_and_blobs.ipynb new file mode 100644 index 00000000..899abe1c --- /dev/null +++ b/docs/build/html/_downloads/c1cc30f1797ae60c2483e04541eb834b/plot_circle_lines_and_blobs.ipynb @@ -0,0 +1,43 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# Plot centrality indices on connectivity circle plot\n\nScript to show functionality to plot centrality indices along with\nconnectivity circle plot.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import os.path as op\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport mne\nfrom mne_connectivity import degree\nfrom jumeg import get_jumeg_path\nfrom jumeg.connectivity import plot_degree_circle, plot_lines_and_blobs\n\nimport bct\nimport yaml\n\norig_labels_fname = op.join(get_jumeg_path(), 'data/desikan_label_names.yaml')\nyaml_fname = op.join(get_jumeg_path(), 'data/desikan_aparc_cortex_based_grouping.yaml')\ncon_fname = op.join(get_jumeg_path(), 'data/sample,aparc-con.npy')\n\nreplacer_dict_fname = op.join(get_jumeg_path(), 'data/replacer_dictionaries.yaml')\n\nwith open(replacer_dict_fname, 'r') as f:\n replacer_dict = yaml.safe_load(f)['replacer_dict_aparc']\n\n# real connectivity\ncon = np.load(con_fname)\ncon = con[0, :, :, 2] + con[0, :, :, 2].T\ndegrees = degree(con, threshold_prop=0.2)\n\neigenvec_centrality = bct.eigenvector_centrality_und(con)\n\nfig, ax = plot_lines_and_blobs(con, degrees, yaml_fname,\n orig_labels_fname, replacer_dict=replacer_dict,\n figsize=(8, 8), show_node_labels=False,\n show_group_labels=True, n_lines=100,\n out_fname=None, degsize=10)\nax.set_title('Eigen vector centrality: Coh,alpha')\nfig.tight_layout()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/docs/build/html/_downloads/c41430a98314738751bb833828af6f7a/plot_compute_label_distances.ipynb b/docs/build/html/_downloads/c41430a98314738751bb833828af6f7a/plot_compute_label_distances.ipynb new file mode 100644 index 00000000..39183bd7 --- /dev/null +++ b/docs/build/html/_downloads/c41430a98314738751bb833828af6f7a/plot_compute_label_distances.ipynb @@ -0,0 +1,43 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# Compute Label Distances\n\nScript show how to compute and visualize distance between label center of\nmasses for a given subject.\n\nAuthor: Praveen Sripad \n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import os.path as op\nfrom jumeg.connectivity import get_label_distances\nfrom surfer import Brain\nfrom nilearn import plotting\nfrom mne.datasets import sample\n\ndata_path = sample.data_path()\nsubjects_dir = op.join(data_path, 'subjects')\nsubject = 'sample'\nparc = 'aparc_sub'\n\n# compute the distances between COM's of the labels\nrounded_coms, coords, coms_lh, coms_rh = get_label_distances(subject,\n subjects_dir,\n parc=parc)\n# np.save('%s_distances.npy' % subject, rounded_com)\n\n# get maximum distance between ROIs\nprint('Max distance between ROIs', rounded_coms.ravel().max())\n\n# do plotting using PySurfer\nbrain = Brain(subject, hemi='both', surf='inflated', subjects_dir=subjects_dir)\nbrain.add_foci(coms_lh, coords_as_verts=True, hemi='lh')\nbrain.add_foci(coms_rh, coords_as_verts=True, hemi='rh')\nbrain.save_montage('%s_%s_coms.png' % (subject, parc),\n order=['lat', 'ven', 'med'],\n orientation='h', border_size=15, colorbar='auto',\n row=-1, col=-1)\nbrain.close()\n\n# show the label ROIs using Nilearn plotting\nfig = plotting.plot_connectome(rounded_coms, coords,\n edge_threshold='99%', node_color='cornflowerblue',\n title='%s - label distances' % parc)\nfig.savefig('fig_%s_label_distances.png' % parc)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/docs/build/html/_downloads/c64794a2fe5bf746f72d0dda76f6f4ed/plot_simulated_connectivity.ipynb b/docs/build/html/_downloads/c64794a2fe5bf746f72d0dda76f6f4ed/plot_simulated_connectivity.ipynb new file mode 100644 index 00000000..5cd30513 --- /dev/null +++ b/docs/build/html/_downloads/c64794a2fe5bf746f72d0dda76f6f4ed/plot_simulated_connectivity.ipynb @@ -0,0 +1,43 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# Simulating Connectivity \n\nSimple implementations of connectivity measures.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Authors : pravsripad@gmail.com\n# daniel.vandevelden@yahoo.de\n\nimport os.path as op\nimport sys\nimport numpy as np\nimport matplotlib.pyplot as pl\nimport matplotlib.mlab as mlab\n\nn_epochs = 120\nsfreq, duration = 1000., 1000\ntimes = np.arange(0, duration, 1 / sfreq)\namp , amp2 , nse_amp = 1., 1., 0.5\nnfft = 512\n\nnse1 = np.random.rand(times.size) * nse_amp\nnse2 = np.random.rand(times.size) * nse_amp\nx = amp * np.sin(2 * np.pi * 200 * times) + nse1\ny = amp * np.sin(2 * np.pi * 200 * times + np.pi/5) + nse2\n\nshift = 100 # integer\nassert shift < sfreq * duration, 'Choose a smaller shift.'\n#y = amp2 * np.roll(x, shift) + nse2\n\n# coherence using mlab function\ncohxy, freqs = mlab.cohere(x, y, Fs=sfreq, NFFT=nfft)\n\nn_freqs = int(nfft/2 + 1)\n\ndef compute_mean_psd_csd(x, y, n_epochs, nfft, sfreq):\n '''Computes mean of PSD and CSD for signals.'''\n x2 = np.array_split(x, n_epochs)\n y2 = np.array_split(y, n_epochs)\n\n Rxy = np.zeros((n_epochs, n_freqs), dtype=complex)\n Rxx = np.zeros((n_epochs, n_freqs), dtype=complex)\n Ryy = np.zeros((n_epochs, n_freqs), dtype=complex)\n\n for i in range(n_epochs):\n Rxy[i], freqs = mlab.csd(x2[i], y2[i], NFFT=nfft, Fs=sfreq)\n Rxx[i], _ = mlab.psd(x2[i], NFFT=nfft, Fs=sfreq)\n Ryy[i], _ = mlab.psd(y2[i], NFFT=nfft, Fs=sfreq)\n\n Rxy_mean = np.mean(Rxy, axis=0)\n Rxx_mean = np.mean(Rxx, axis=0)\n Ryy_mean = np.mean(Ryy, axis=0)\n\n return freqs, Rxy, Rxy_mean, np.real(Rxx_mean), np.real(Ryy_mean)\n\ndef my_coherence(n_freqs, Rxy_mean, Rxx_mean, Ryy_mean):\n ''' Computes coherence. '''\n\n coh = np.zeros((n_freqs))\n for i in range(0, n_freqs):\n coh[i] = np.abs(Rxy_mean[i]) / np.sqrt(Rxx_mean[i] * Ryy_mean[i])\n\n return coh\n\ndef my_imcoh(n_freqs, Rxy_mean, Rxx_mean, Ryy_mean):\n ''' Computes imaginary coherence. '''\n\n imcoh = np.zeros((n_freqs))\n for i in range(0, n_freqs):\n imcoh[i] = np.imag(Rxy_mean[i]) / np.sqrt(Rxx_mean[i] * Ryy_mean[i])\n\n return imcoh\n\ndef my_cohy(n_freqs, Rxy_mean, Rxx_mean, Ryy_mean):\n ''' Computes coherency. '''\n\n cohy = np.zeros((n_freqs))\n for i in range(0, n_freqs):\n cohy[i] = np.real(Rxy_mean[i]) / np.sqrt(Rxx_mean[i] * Ryy_mean[i])\n\n return cohy\n\ndef my_plv(n_freqs, Rxy, Rxy_mean):\n ''' Computes PLV. '''\n\n Rxy_plv = np.zeros((n_epochs, n_freqs), dtype=complex)\n for i in range(0, n_epochs):\n Rxy_plv[i] = Rxy[i] / np.abs(Rxy[i])\n\n plv = np.abs(np.mean(Rxy_plv, axis=0))\n return plv\n\ndef my_pli(n_freqs, Rxy, Rxy_mean):\n ''' Computes PLI. '''\n Rxy_pli = np.zeros((n_epochs, n_freqs), dtype=complex)\n for i in range(0, n_epochs):\n Rxy_pli[i] = np.sign(np.imag(Rxy[i]))\n\n pli = np.abs(np.mean(Rxy_pli, axis=0))\n return pli\n\ndef my_wpli(n_freqs, Rxy, Rxy_mean):\n ''' Computes WPLI. '''\n Rxy_wpli_1 = np.zeros((n_epochs, n_freqs), dtype=complex)\n Rxy_wpli_2 = np.zeros((n_epochs, n_freqs), dtype=complex)\n for i in range(0, n_epochs):\n Rxy_wpli_1[i] = np.imag(Rxy[i])\n Rxy_wpli_2[i] = np.abs(np.imag(Rxy[i]))\n\n # handle divide by zero\n denom = np.mean(Rxy_wpli_2, axis=0)\n idx_denom = np.where(denom == 0.)\n denom[idx_denom] = 1.\n wpli = np.abs(np.mean(Rxy_wpli_1, axis=0)) / denom\n wpli[idx_denom] = 0.\n return wpli\n\n\ndef my_con(x, y, n_epochs, nfft, sfreq, con_name='coh'):\n '''Computes connectivity measure mentioned on provided signal pair and its surrogates.'''\n\n freqs, Rxy, Rxy_mean, Rxx_mean, Ryy_mean = compute_mean_psd_csd(x, y, n_epochs, nfft, sfreq)\n\n # compute surrogates\n x_surr = x.copy() \n y_surr = y.copy()\n np.random.shuffle(x_surr)\n np.random.shuffle(y_surr)\n freqs_surro, Rxy_s, Rxy_s_mean, Rxx_s_mean, Ryy_s_mean = compute_mean_psd_csd(x_surr, y_surr, n_epochs, nfft, sfreq)\n\n if con_name == 'coh':\n coh = my_coherence(n_freqs, Rxy_mean, Rxx_mean, Ryy_mean)\n coh_surro = my_coherence(n_freqs, Rxy_s_mean, Rxx_s_mean, Ryy_s_mean)\n return coh, coh_surro, freqs, freqs_surro\n\n if con_name == 'imcoh':\n imcoh = my_imcoh(n_freqs, Rxy_mean, Rxx_mean, Ryy_mean)\n imcoh_surro = my_imcoh(n_freqs, Rxy_s_mean, Rxx_s_mean, Ryy_s_mean)\n return imcoh, imcoh_surro, freqs, freqs_surro\n\n if con_name == 'cohy':\n cohy = my_cohy(n_freqs, Rxy_mean, Rxx_mean, Ryy_mean)\n cohy_surro = my_cohy(n_freqs, Rxy_s_mean, Rxx_s_mean, Ryy_s_mean)\n return cohy, cohy_surro, freqs, freqs_surro\n\n if con_name == 'plv':\n plv = my_plv(n_freqs, Rxy, Rxy_mean)\n plv_surro = my_plv(n_freqs, Rxy_s, Rxy_s_mean)\n return plv, plv_surro, freqs, freqs_surro\n\n if con_name == 'pli':\n pli = my_pli(n_freqs, Rxy, Rxy_mean)\n pli_surro = my_pli(n_freqs, Rxy_s, Rxy_s_mean)\n return pli, pli_surro, freqs, freqs_surro\n\n if con_name == 'wpli':\n wpli = my_wpli(n_freqs, Rxy, Rxy_mean)\n wpli_surro = my_wpli(n_freqs, Rxy_s, Rxy_s_mean)\n return wpli, wpli_surro, freqs, freqs_surro\n\n if con_name == '':\n print('Please provide the connectivity method to use.')\n sys.exit()\n else:\n print('Connectivity method unrecognized.')\n sys.exit()\n\ncon_name = 'wpli'\ncon, con_surro, freqs, freqs_surro = my_con(x, y, n_epochs, nfft, sfreq, con_name)\n\n# coherence using mlab function\n#cohxy, freqs = mlab.cohere(x, y, Fs=sfreq, NFFT=nfft)\n#pl.plot(freqs, cohxy)\n\n# plot results\npl.figure('Connectivity')\npl.plot(freqs, con)\npl.plot(freqs_surro, con_surro)\npl.legend(['Con', 'Surrogates'])\npl.tight_layout()\npl.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/docs/build/html/_downloads/cca1eef05669dc79b2935c67c97fab8f/plot_inter_and_intra_lobe_causality.ipynb b/docs/build/html/_downloads/cca1eef05669dc79b2935c67c97fab8f/plot_inter_and_intra_lobe_causality.ipynb new file mode 100644 index 00000000..c0796b50 --- /dev/null +++ b/docs/build/html/_downloads/cca1eef05669dc79b2935c67c97fab8f/plot_inter_and_intra_lobe_causality.ipynb @@ -0,0 +1,115 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# Group Causality Matrix\n\nGroup a causality matrix by lobes and plot the resulting\ninter- and intra-lobe causality.\n\nAuthor: Christian Kiefer \n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import os\nimport os.path as op\n\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport mne\n\nfrom mne.datasets import sample\n\nprint(__doc__)\n\ndata_path = sample.data_path()\n\nfrom jumeg.connectivity.con_utils import group_con_matrix_by_lobe\nfrom jumeg.connectivity.con_viz import plot_grouped_causality_circle\nfrom jumeg.jumeg_utils import get_jumeg_path" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Load the grouping files\n\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "grouping_yaml_fname = op.join(get_jumeg_path(), 'data',\n 'desikan_aparc_cortex_based_grouping_ck.yaml')\nlobe_grouping_yaml_fname = op.join(get_jumeg_path(), 'data',\n 'lobes_grouping.yaml')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Load anatomical labels\n\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "subjects_dir = op.join(data_path, 'subjects')\nos.environ['SUBJECTS_DIR'] = subjects_dir\n\nfull_labels = mne.read_labels_from_annot(subject='fsaverage', parc='aparc',\n hemi='both', subjects_dir=subjects_dir)\n\nfull_label_names = [full_label.name for full_label in full_labels if full_label.name.find('unknown') == -1]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## create random causality matrix\n\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# create causality matrix\nnp.random.seed(42)\ncau = np.random.uniform(-0.99, 0.01, (len(full_label_names), len(full_label_names)))\n\ncau[cau < 0] = 0\ncau = cau / 0.01 # values between 0 and 1\n\ncau_grp, grp_label_names = group_con_matrix_by_lobe(con=cau, label_names=full_label_names,\n grouping_yaml_fname=grouping_yaml_fname)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Compare original matrix with grouped matrix plot\n\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "fig = plot_grouped_causality_circle(cau, grouping_yaml_fname, full_label_names,\n title='original causality matrix', n_lines=None,\n labels_mode=None, replacer_dict=None, out_fname=None,\n colormap='magma_r', colorbar=True, colorbar_pos=(-0.25, 0.05),\n arrowstyle='->,head_length=0.7,head_width=0.4',\n figsize=(9.1, 6), vmin=0., vmax=1.0, ignore_diagonal=True,\n show=True)\n\nplt.close(fig)\n\nfig = plot_grouped_causality_circle(cau_grp, lobe_grouping_yaml_fname, grp_label_names,\n title='test', n_lines=None, labels_mode=None,\n replacer_dict=None, out_fname=None, colormap='magma_r',\n colorbar=True, colorbar_pos=(-0.25, 0.05),\n arrowstyle='->,head_length=0.7,head_width=0.4',\n figsize=(9.1, 6), vmin=0., ignore_diagonal=False,\n show=True)\n\nplt.close(fig)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/docs/build/html/_downloads/d1fabb73f4fa58e5840c9920de5e984c/plot_custom_grouped_connectivity_circle.ipynb b/docs/build/html/_downloads/d1fabb73f4fa58e5840c9920de5e984c/plot_custom_grouped_connectivity_circle.ipynb new file mode 100644 index 00000000..6286e2d2 --- /dev/null +++ b/docs/build/html/_downloads/d1fabb73f4fa58e5840c9920de5e984c/plot_custom_grouped_connectivity_circle.ipynb @@ -0,0 +1,43 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# Plot Custom Grouped Circle\n\nExample how to create a custom label groups and plot grouped connectivity\ncircle with these labels.\n\nAuthor: Praveen Sripad \n Christian Kiefer \n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import os.path as op\nimport matplotlib.pyplot as plt\nfrom jumeg import get_jumeg_path\nfrom jumeg.connectivity import (plot_grouped_connectivity_circle,\n generate_random_connectivity_matrix)\n\nimport yaml\n\nlabels_fname = op.join(get_jumeg_path(), 'data/desikan_label_names.yaml')\nreplacer_dict_fname = op.join(get_jumeg_path(), 'data/replacer_dictionaries.yaml')\n\nwith open(labels_fname, 'r') as f:\n label_names = yaml.safe_load(f)['label_names']\n\nwith open(replacer_dict_fname, 'r') as f:\n replacer_dict = yaml.safe_load(f)['replacer_dict_aparc']\n\n# make a random matrix with 68 nodes\ncon = generate_random_connectivity_matrix(size=(68, 68), symmetric=True)\n\n# make groups based on lobes\noccipital = ['lateraloccipital', 'lingual', 'cuneus', 'pericalcarine']\nparietal = ['superiorparietal', 'inferiorparietal', 'precuneus',\n 'postcentral', 'supramarginal']\ntemporal = ['bankssts', 'temporalpole', 'superiortemporal', 'middletemporal',\n 'transversetemporal', 'inferiortemporal', 'fusiform',\n 'entorhinal', 'parahippocampal']\ninsula = ['insula']\ncingulate = ['rostralanteriorcingulate', 'caudalanteriorcingulate',\n 'posteriorcingulate', 'isthmuscingulate']\nfrontal = ['superiorfrontal', 'rostralmiddlefrontal', 'caudalmiddlefrontal',\n 'parsopercularis', 'parsorbitalis', 'parstriangularis',\n 'lateralorbitofrontal', 'medialorbitofrontal', 'precentral',\n 'paracentral', 'frontalpole']\n\n# we need a list of dictionaries, one dict for each group to denote grouping\nlabel_groups = [{'occipital': occipital}, {'parietal': parietal},\n {'temporal': temporal}, {'insula': insula},\n {'cingulate': cingulate},\n {'frontal': frontal}]\n\nn_colors = len(label_groups)\ncmap = plt.get_cmap('Pastel1')\ncortex_colors = cmap.colors[:n_colors] + cmap.colors[:n_colors][::-1]\n\n# plot simple connectivity circle with cortex based grouping and colors\nplot_grouped_connectivity_circle(label_groups, con, label_names,\n labels_mode='replace',\n replacer_dict=replacer_dict,\n cortex_colors=cortex_colors, vmin=0., vmax=1.,\n out_fname='fig_grouped_con_circle_cortex.png',\n colorbar_pos=(0.1, 0.1), n_lines=50, colorbar=True,\n colormap='viridis')" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/docs/build/html/_downloads/d5c0e071ad54cf4b9f9603f9009d1ce1/plot_brain_connectome.py b/docs/build/html/_downloads/d5c0e071ad54cf4b9f9603f9009d1ce1/plot_brain_connectome.py new file mode 100644 index 00000000..af60f709 --- /dev/null +++ b/docs/build/html/_downloads/d5c0e071ad54cf4b9f9603f9009d1ce1/plot_brain_connectome.py @@ -0,0 +1,56 @@ +#!/usr/bin/env python + +""" +============= +Plot brain connectome +============= + +Plot connectivity on a glass brain using 'plot_connectome' function from +Nilearn (https://nilearn.github.io/). + +Author: Praveen Sripad +""" + +import os.path as op +import numpy as np +import matplotlib.pyplot as plt + +import mne +from mne.datasets import sample + +from nilearn import plotting + +from jumeg.connectivity import generate_random_connectivity_matrix + +data_path = sample.data_path() +subjects_dir = op.join(data_path, 'subjects') +subject = 'fsaverage' + +aparc = mne.read_labels_from_annot(subject, subjects_dir=subjects_dir, + parc='aparc') + +# nodes in one hemisphere can be plotted as well +aparc_lh = [lab for lab in aparc if lab.hemi == 'lh'] + +coords = [] + +# plot 10 nodes from left hemisphere only for better viz +for lab in aparc_lh[:10]: + if lab.name == 'unknown-lh': + continue + # get the center of mass + com = lab.center_of_mass('fsaverage') + # obtain mni coordinated to the vertex from left hemi + coords_ = mne.vertex_to_mni(com, hemis=0, subject=subject, + subjects_dir=subjects_dir) + coords.append(coords_) + +n_nodes = np.array(coords).shape[0] + +# make a random connectivity matrix +con = generate_random_connectivity_matrix(size=(n_nodes, n_nodes), + symmetric=True) + +# plot the connectome on a glass brain background +plotting.plot_connectome(con, coords) +plt.show() diff --git a/docs/build/html/_downloads/d7247b3a446053a7e80e017ac5eb24b4/plot_interpolate_bads.py b/docs/build/html/_downloads/d7247b3a446053a7e80e017ac5eb24b4/plot_interpolate_bads.py new file mode 100644 index 00000000..1f05ac02 --- /dev/null +++ b/docs/build/html/_downloads/d7247b3a446053a7e80e017ac5eb24b4/plot_interpolate_bads.py @@ -0,0 +1,27 @@ +""" +==================== +Plot and interpolate bads +==================== + +Use suggest_bads to automatically identify bad MEG channels +and use interpolate_bads based on the center of mass of the +sensors for bad channel correction. +""" + +import os.path as op + +import mne +from mne.datasets import sample +from jumeg import suggest_bads +from jumeg import interpolate_bads + +data_path = sample.data_path() +subjects_dir = op.join(data_path, 'subjects') + +raw_fname = op.join(data_path, 'MEG/sample/sample_audvis_raw.fif') + +raw = mne.io.Raw(raw_fname, preload=True) +mybads, raw = suggest_bads(raw, show_raw=False, summary_plot=False) + +# origin = None causes the method to use the sensor center of mass as origin +interpolate_bads(raw, origin=None, reset_bads=True) diff --git a/docs/build/html/_downloads/dd278fb25d15f5e6a12562a958c0eda0/plot_simulated_connectivity.py b/docs/build/html/_downloads/dd278fb25d15f5e6a12562a958c0eda0/plot_simulated_connectivity.py new file mode 100644 index 00000000..42bb2335 --- /dev/null +++ b/docs/build/html/_downloads/dd278fb25d15f5e6a12562a958c0eda0/plot_simulated_connectivity.py @@ -0,0 +1,185 @@ +#!/usr/bin/env python + +''' +========== +Simulating Connectivity +========== + +Simple implementations of connectivity measures. +''' + +# Authors : pravsripad@gmail.com +# daniel.vandevelden@yahoo.de + +import os.path as op +import sys +import numpy as np +import matplotlib.pyplot as pl +import matplotlib.mlab as mlab + +n_epochs = 120 +sfreq, duration = 1000., 1000 +times = np.arange(0, duration, 1 / sfreq) +amp , amp2 , nse_amp = 1., 1., 0.5 +nfft = 512 + +nse1 = np.random.rand(times.size) * nse_amp +nse2 = np.random.rand(times.size) * nse_amp +x = amp * np.sin(2 * np.pi * 200 * times) + nse1 +y = amp * np.sin(2 * np.pi * 200 * times + np.pi/5) + nse2 + +shift = 100 # integer +assert shift < sfreq * duration, 'Choose a smaller shift.' +#y = amp2 * np.roll(x, shift) + nse2 + +# coherence using mlab function +cohxy, freqs = mlab.cohere(x, y, Fs=sfreq, NFFT=nfft) + +n_freqs = int(nfft/2 + 1) + +def compute_mean_psd_csd(x, y, n_epochs, nfft, sfreq): + '''Computes mean of PSD and CSD for signals.''' + x2 = np.array_split(x, n_epochs) + y2 = np.array_split(y, n_epochs) + + Rxy = np.zeros((n_epochs, n_freqs), dtype=complex) + Rxx = np.zeros((n_epochs, n_freqs), dtype=complex) + Ryy = np.zeros((n_epochs, n_freqs), dtype=complex) + + for i in range(n_epochs): + Rxy[i], freqs = mlab.csd(x2[i], y2[i], NFFT=nfft, Fs=sfreq) + Rxx[i], _ = mlab.psd(x2[i], NFFT=nfft, Fs=sfreq) + Ryy[i], _ = mlab.psd(y2[i], NFFT=nfft, Fs=sfreq) + + Rxy_mean = np.mean(Rxy, axis=0) + Rxx_mean = np.mean(Rxx, axis=0) + Ryy_mean = np.mean(Ryy, axis=0) + + return freqs, Rxy, Rxy_mean, np.real(Rxx_mean), np.real(Ryy_mean) + +def my_coherence(n_freqs, Rxy_mean, Rxx_mean, Ryy_mean): + ''' Computes coherence. ''' + + coh = np.zeros((n_freqs)) + for i in range(0, n_freqs): + coh[i] = np.abs(Rxy_mean[i]) / np.sqrt(Rxx_mean[i] * Ryy_mean[i]) + + return coh + +def my_imcoh(n_freqs, Rxy_mean, Rxx_mean, Ryy_mean): + ''' Computes imaginary coherence. ''' + + imcoh = np.zeros((n_freqs)) + for i in range(0, n_freqs): + imcoh[i] = np.imag(Rxy_mean[i]) / np.sqrt(Rxx_mean[i] * Ryy_mean[i]) + + return imcoh + +def my_cohy(n_freqs, Rxy_mean, Rxx_mean, Ryy_mean): + ''' Computes coherency. ''' + + cohy = np.zeros((n_freqs)) + for i in range(0, n_freqs): + cohy[i] = np.real(Rxy_mean[i]) / np.sqrt(Rxx_mean[i] * Ryy_mean[i]) + + return cohy + +def my_plv(n_freqs, Rxy, Rxy_mean): + ''' Computes PLV. ''' + + Rxy_plv = np.zeros((n_epochs, n_freqs), dtype=complex) + for i in range(0, n_epochs): + Rxy_plv[i] = Rxy[i] / np.abs(Rxy[i]) + + plv = np.abs(np.mean(Rxy_plv, axis=0)) + return plv + +def my_pli(n_freqs, Rxy, Rxy_mean): + ''' Computes PLI. ''' + Rxy_pli = np.zeros((n_epochs, n_freqs), dtype=complex) + for i in range(0, n_epochs): + Rxy_pli[i] = np.sign(np.imag(Rxy[i])) + + pli = np.abs(np.mean(Rxy_pli, axis=0)) + return pli + +def my_wpli(n_freqs, Rxy, Rxy_mean): + ''' Computes WPLI. ''' + Rxy_wpli_1 = np.zeros((n_epochs, n_freqs), dtype=complex) + Rxy_wpli_2 = np.zeros((n_epochs, n_freqs), dtype=complex) + for i in range(0, n_epochs): + Rxy_wpli_1[i] = np.imag(Rxy[i]) + Rxy_wpli_2[i] = np.abs(np.imag(Rxy[i])) + + # handle divide by zero + denom = np.mean(Rxy_wpli_2, axis=0) + idx_denom = np.where(denom == 0.) + denom[idx_denom] = 1. + wpli = np.abs(np.mean(Rxy_wpli_1, axis=0)) / denom + wpli[idx_denom] = 0. + return wpli + + +def my_con(x, y, n_epochs, nfft, sfreq, con_name='coh'): + '''Computes connectivity measure mentioned on provided signal pair and its surrogates.''' + + freqs, Rxy, Rxy_mean, Rxx_mean, Ryy_mean = compute_mean_psd_csd(x, y, n_epochs, nfft, sfreq) + + # compute surrogates + x_surr = x.copy() + y_surr = y.copy() + np.random.shuffle(x_surr) + np.random.shuffle(y_surr) + freqs_surro, Rxy_s, Rxy_s_mean, Rxx_s_mean, Ryy_s_mean = compute_mean_psd_csd(x_surr, y_surr, n_epochs, nfft, sfreq) + + if con_name == 'coh': + coh = my_coherence(n_freqs, Rxy_mean, Rxx_mean, Ryy_mean) + coh_surro = my_coherence(n_freqs, Rxy_s_mean, Rxx_s_mean, Ryy_s_mean) + return coh, coh_surro, freqs, freqs_surro + + if con_name == 'imcoh': + imcoh = my_imcoh(n_freqs, Rxy_mean, Rxx_mean, Ryy_mean) + imcoh_surro = my_imcoh(n_freqs, Rxy_s_mean, Rxx_s_mean, Ryy_s_mean) + return imcoh, imcoh_surro, freqs, freqs_surro + + if con_name == 'cohy': + cohy = my_cohy(n_freqs, Rxy_mean, Rxx_mean, Ryy_mean) + cohy_surro = my_cohy(n_freqs, Rxy_s_mean, Rxx_s_mean, Ryy_s_mean) + return cohy, cohy_surro, freqs, freqs_surro + + if con_name == 'plv': + plv = my_plv(n_freqs, Rxy, Rxy_mean) + plv_surro = my_plv(n_freqs, Rxy_s, Rxy_s_mean) + return plv, plv_surro, freqs, freqs_surro + + if con_name == 'pli': + pli = my_pli(n_freqs, Rxy, Rxy_mean) + pli_surro = my_pli(n_freqs, Rxy_s, Rxy_s_mean) + return pli, pli_surro, freqs, freqs_surro + + if con_name == 'wpli': + wpli = my_wpli(n_freqs, Rxy, Rxy_mean) + wpli_surro = my_wpli(n_freqs, Rxy_s, Rxy_s_mean) + return wpli, wpli_surro, freqs, freqs_surro + + if con_name == '': + print('Please provide the connectivity method to use.') + sys.exit() + else: + print('Connectivity method unrecognized.') + sys.exit() + +con_name = 'wpli' +con, con_surro, freqs, freqs_surro = my_con(x, y, n_epochs, nfft, sfreq, con_name) + +# coherence using mlab function +#cohxy, freqs = mlab.cohere(x, y, Fs=sfreq, NFFT=nfft) +#pl.plot(freqs, cohxy) + +# plot results +pl.figure('Connectivity') +pl.plot(freqs, con) +pl.plot(freqs_surro, con_surro) +pl.legend(['Con', 'Surrogates']) +pl.tight_layout() +pl.show() diff --git a/docs/build/html/_downloads/de46ae9b6690abebc2a58ded49329a96/plot_perform_mft_surface_list.ipynb b/docs/build/html/_downloads/de46ae9b6690abebc2a58ded49329a96/plot_perform_mft_surface_list.ipynb new file mode 100644 index 00000000..f0e0bde3 --- /dev/null +++ b/docs/build/html/_downloads/de46ae9b6690abebc2a58ded49329a96/plot_perform_mft_surface_list.ipynb @@ -0,0 +1,43 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# Jumeg MFT example.\n\nPerform MFT on a surface based forward solution.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import os.path as op\nimport numpy as np\nimport mne\nfrom mne.datasets import sample\nfrom jumeg.mft import (apply_mft, jumeg_mft_plot)\n\ndata_path = sample.data_path()\nsubject = 'sample'\nsubjects_dir = op.join(data_path, 'subjects')\nfwdname = op.join(data_path, 'MEG/sample/sample_audvis-meg-oct-6-fwd.fif')\nlblname = 'aparc'\nevoname = op.join(data_path, 'MEG/sample/sample_audvis-ave.fif')\nevocondition = 'Left Auditory'\nrawname = op.join(data_path, 'MEG/sample/sample_audvis_10s-raw.fif')\nt1_fname = op.join(subjects_dir, 'sample/mri/T1.mgz')\n\n# Set up pick list: MEG - bad channels\nwant_meg = 'mag'\nwant_ref = False\nwant_eeg = False\nwant_stim = False\nexclude = 'bads'\ninclude = []\n\nprint(\"########## MFT parameters:\")\nmftpar = {'prbfct': 'Gauss',\n 'prbcnt': np.array([[0.039, 0.013, 0.062], [-0.039, 0.013, 0.062]]),\n 'prbhw': np.array([[0.040, 0.040, 0.040], [0.040, 0.040, 0.040]])}\n# mftpar = {'prbfct': 'uniform',\n# 'prbcnt': None,\n# 'prbhw': None}\nmftpar.update({'iter': 2, 'currexp': 1.0})\nmftpar.update({'regtype': 'PzetaE', 'zetareg': 1.00})\n# mftpar.update({ 'regtype':'classic', 'zetareg':1.0})\nmftpar.update({'solver': 'lu', 'svrelcut': 5.e-4})\n\nprint(\"mftpar['prbcnt' ] = \", mftpar['prbcnt'])\nprint(\"mftpar['prbhw' ] = \", mftpar['prbhw'])\nprint(\"mftpar['iter' ] = \", mftpar['iter'])\nprint(\"mftpar['regtype' ] = \", mftpar['regtype'])\nprint(\"mftpar['zetareg' ] = \", mftpar['zetareg'])\nprint(\"mftpar['solver' ] = \", mftpar['solver'])\nprint(\"mftpar['svrelcut'] = \", mftpar['svrelcut'])\ncdmcut = 0.10\nprint(\"cdmcut = \", cdmcut)\n\nprint(\"########## get labels:\")\nif lblname is not None:\n labels = mne.read_labels_from_annot(subject, parc=lblname,\n subjects_dir=subjects_dir)\nelse:\n labels = None\n\nprint(\"##########################\")\nprint(\"##### Calling apply_mft()\")\nprint(\"##########################\")\niterlist = [0, 1, 2]\nfwdmag, qualmft, stc_mftl = apply_mft(fwdname, evoname, evocondition=evocondition,\n subject=subject, meg=want_meg, iterlist=iterlist,\n calccdm='all', cdmcut=cdmcut, cdmlabels=labels,\n mftpar=mftpar, verbose='verbose')\n\nevo = mne.read_evokeds(evoname, condition=evocondition, baseline=(None, 0))\ntstep = 1. / evo.info['sfreq']\n\nif iterlist == None:\n stc_mft = stc_mftl\nelse:\n stc_mft = stc_mftl[-1]\nstcdata = stc_mft.data\ntmin = stc_mft.tmin\n\nprint(\" \")\nprint(\"########## Some geo-numbers:\")\nlhinds = np.where(fwdmag['source_rr'][:, 0] <= 0.)\nrhinds = np.where(fwdmag['source_rr'][:, 0] > 0.)\nprint(\"> Discriminating lh/rh by sign of fwdmag['source_rr'][:,0]:\")\nprint(\"> lhinds[0].shape[0] = \", lhinds[0].shape[0], \" rhinds[0].shape[0] = \", rhinds[0].shape[0])\ninvmri_head_t = mne.transforms.invert_transform(fwdmag['info']['mri_head_t'])\nmrsrc = np.zeros(fwdmag['source_rr'].shape)\nmrsrc = mne.transforms.apply_trans(invmri_head_t['trans'], fwdmag['source_rr'], move=True)\nlhmrinds = np.where(mrsrc[:, 0] <= 0.)\nrhmrinds = np.where(mrsrc[:, 0] > 0.)\nprint(\"> Discriminating lh/rh by sign of fwdmag['source_rr'][:,0] in MR coords:\")\nprint(\"> lhmrinds[0].shape[0] = \", lhmrinds[0].shape[0], \" rhmrinds[0].shape[0] = \", rhmrinds[0].shape[0])\n\n# plotting routines\njumeg_mft_plot.plot_global_cdv_dist(stcdata)\njumeg_mft_plot.plot_visualize_mft_sources(fwdmag, stcdata, tmin=tmin, tstep=tstep,\n subject=subject, subjects_dir=subjects_dir)\njumeg_mft_plot.plot_cdv_distribution(fwdmag, stcdata)\njumeg_mft_plot.plot_max_amplitude_data(fwdmag, stcdata, tmin=tmin, tstep=tstep,\n subject=subject)\njumeg_mft_plot.plot_max_cdv_data(stc_mft, lhmrinds, rhmrinds)\njumeg_mft_plot.plot_cdvsum_data(stc_mft, lhmrinds, rhmrinds)\njumeg_mft_plot.plot_quality_data(qualmft, stc_mft)\njumeg_mft_plot.plot_cdm_data(qualmft, stc_mft, cdmlabels=labels)\njumeg_mft_plot.plot_jlong_labeldata(qualmft, stc_mft, labels)\njumeg_mft_plot.plot_jtotal_labeldata(qualmft, stc_mft, labels)\n\njumeg_mft_plot.plot_jlong_data(qualmft, stc_mft)\n\nprint_transforms = False\nif print_transforms:\n print(\"##### Transforms:\")\n print(\"fwdmag['info']['mri_head_t']:\")\n print(fwdmag['info']['mri_head_t'])\n invmri_head_t = mne.transforms.invert_transform(fwdmag['info']['mri_head_t'])\n print(\"Inverse of fwdmag['info']['mri_head_t']:\")\n print(invmri_head_t)\n\nwrite_tab_files = True\nif write_tab_files:\n tabfilenam = 'testtab_stc.dat'\n time_idx = np.argmax(np.max(stcdata, axis=0))\n print(\"##### Creating %s with |cdv(time_idx=%d)|\" % (tabfilenam, time_idx))\n tabfile = open(tabfilenam, mode='w')\n cdvnmax = np.max(stcdata[:, time_idx])\n n_loc = stcdata.shape[0]\n tabfile.write(\"# time_idx = %d\\n\" % time_idx)\n tabfile.write(\"# max amplitude = %11.4e\\n\" % cdvnmax)\n tabfile.write(\"# x/mm y/mm z/mm |cdv| index\\n\")\n for ipnt in range(int(n_loc / 3)):\n copnt = 1000. * fwdmag['source_rr'][ipnt]\n tabfile.write(\" %7.2f %7.2f %7.2f %11.4e %5d\\n\" % \\\n (copnt[0], copnt[1], copnt[2], stcdata[ipnt, time_idx], ipnt))\n tabfile.close()\n\nprint(\"Done.\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/docs/build/html/_downloads/e2fd449dc8928bab76ab22937709c2f1/plot_compute_epochs_surrogates.ipynb b/docs/build/html/_downloads/e2fd449dc8928bab76ab22937709c2f1/plot_compute_epochs_surrogates.ipynb new file mode 100644 index 00000000..9fda5e5e --- /dev/null +++ b/docs/build/html/_downloads/e2fd449dc8928bab76ab22937709c2f1/plot_compute_epochs_surrogates.ipynb @@ -0,0 +1,43 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# Surrogate Connectivity Generation\n\nExample to show surrogate generation on Epochs using the jumeg Surrogates\nmodule.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import os.path as op\nimport numpy as np\nimport matplotlib.pyplot as pl\nfrom mne.datasets import sample\nimport mne\n\nfrom jumeg.jumeg_surrogates import Surrogates, check_power_spectrum\n\ndata_path = sample.data_path()\nsubjects_dir = op.join(data_path, 'subjects')\n\nfname_raw = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw.fif')\nfname_event = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw-eve.fif')\n\nepochs_testing = False\n\nraw = mne.io.read_raw_fif(fname_raw)\nevents = mne.read_events(fname_event)\n\n# add a bad channel\nraw.info['bads'] += ['MEG 2443']\n\n# pick MEG channels\npicks = mne.pick_types(raw.info, meg='mag', eeg=False, stim=False, eog=False,\n exclude='bads')\n\n# Define epochs for left-auditory condition\nevent_id, tmin, tmax = 1, -0.2, 0.5\nepochs = mne.Epochs(raw, events, event_id, tmin, tmax, picks=picks,\n baseline=(None, 0), reject=dict(mag=4e-12))\n\n# initialize the Surrogates object\nsurr_epochs = Surrogates(epochs)\n\nn_surr = 10 # number of surrogates\nmode = 'randomize_phase'\nmysurr = surr_epochs.compute_surrogates(n_surr=n_surr,\n mode=mode, return_generator=False)\n\n# get one epochs for plotting\n# for epochs, a generator is always returned\nfirst_surr_epoch = next(mysurr)\n\n# visualize surrogates\nfig, (ax1, ax2) = pl.subplots(2, 1)\nepochs.average().plot(axes=ax1, show=False, titles='Evoked')\nfirst_surr_epoch.average().plot(axes=ax2, show=False, titles='Surrogate Evoked')\npl.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/docs/build/html/_downloads/e981743ec0e46c5e364d48506d82a228/plot_circle_lines_and_blobs.py b/docs/build/html/_downloads/e981743ec0e46c5e364d48506d82a228/plot_circle_lines_and_blobs.py new file mode 100644 index 00000000..21b41448 --- /dev/null +++ b/docs/build/html/_downloads/e981743ec0e46c5e364d48506d82a228/plot_circle_lines_and_blobs.py @@ -0,0 +1,43 @@ +''' +============= +Plot centrality indices on connectivity circle plot +============= + +Script to show functionality to plot centrality indices along with +connectivity circle plot. +''' + +import os.path as op +import numpy as np +import matplotlib.pyplot as plt +import mne +from mne_connectivity import degree +from jumeg import get_jumeg_path +from jumeg.connectivity import plot_degree_circle, plot_lines_and_blobs + +import bct +import yaml + +orig_labels_fname = op.join(get_jumeg_path(), 'data/desikan_label_names.yaml') +yaml_fname = op.join(get_jumeg_path(), 'data/desikan_aparc_cortex_based_grouping.yaml') +con_fname = op.join(get_jumeg_path(), 'data/sample,aparc-con.npy') + +replacer_dict_fname = op.join(get_jumeg_path(), 'data/replacer_dictionaries.yaml') + +with open(replacer_dict_fname, 'r') as f: + replacer_dict = yaml.safe_load(f)['replacer_dict_aparc'] + +# real connectivity +con = np.load(con_fname) +con = con[0, :, :, 2] + con[0, :, :, 2].T +degrees = degree(con, threshold_prop=0.2) + +eigenvec_centrality = bct.eigenvector_centrality_und(con) + +fig, ax = plot_lines_and_blobs(con, degrees, yaml_fname, + orig_labels_fname, replacer_dict=replacer_dict, + figsize=(8, 8), show_node_labels=False, + show_group_labels=True, n_lines=100, + out_fname=None, degsize=10) +ax.set_title('Eigen vector centrality: Coh,alpha') +fig.tight_layout() diff --git a/docs/build/html/_downloads/ed7fc5f6f5d38de40666229eccab8f03/do_granger_causality.py b/docs/build/html/_downloads/ed7fc5f6f5d38de40666229eccab8f03/do_granger_causality.py new file mode 100644 index 00000000..c239677a --- /dev/null +++ b/docs/build/html/_downloads/ed7fc5f6f5d38de40666229eccab8f03/do_granger_causality.py @@ -0,0 +1,155 @@ +#!/usr/bin/env python3 + +''' +============= +Granger Causality Analysis +============= + +Perform Granger based causality analysis using Generalized Parital Directed +Coherence on example dataset. + +Uses the data and example from mne-python combined with the Scot package +to perform the Granger Causality analysis. + +Author: Praveen Sripad +''' + +import numpy as np +from scipy import stats + +import mne +from mne.datasets import sample +from mne.minimum_norm import apply_inverse_epochs, read_inverse_operator +from jumeg.jumeg_utils import get_jumeg_path +from jumeg.connectivity.causality import (compute_order, do_mvar_evaluation, + prepare_causality_matrix) +from jumeg.connectivity import (plot_grouped_connectivity_circle, + plot_grouped_causality_circle) + +import scot +import scot.connectivity_statistics as scs +from scot.connectivity import connectivity +import yaml + +import time +t_start = time.time() + +print(('Scot version -', scot.__version__)) + +yaml_fname = get_jumeg_path() + '/data/desikan_aparc_cortex_based_grouping.yaml' +labels_fname = get_jumeg_path() + '/data/desikan_label_names.yaml' + +data_path = sample.data_path() +subjects_dir = data_path + '/subjects' +fname_inv = data_path + '/MEG/sample/sample_audvis-meg-oct-6-meg-inv.fif' +fname_raw = data_path + '/MEG/sample/sample_audvis_filt-0-40_raw.fif' +fname_event = data_path + '/MEG/sample/sample_audvis_filt-0-40_raw-eve.fif' + +# Load data +inverse_operator = read_inverse_operator(fname_inv) +raw = mne.io.read_raw_fif(fname_raw) +events = mne.read_events(fname_event) + +# Add a bad channel +raw.info['bads'] += ['MEG 2443'] + +# Pick MEG channels +picks = mne.pick_types(raw.info, meg=True, eeg=False, stim=False, eog=True, + exclude='bads') + +# Define epochs for left-auditory condition +event_id, tmin, tmax = 1, -0.2, 0.5 +epochs = mne.Epochs(raw, events, event_id, tmin, tmax, picks=picks, + baseline=(None, 0), reject=dict(mag=4e-12, grad=4000e-13, + eog=150e-6)) +if not epochs.preload: + epochs.load_data() + +# parameters, lots of parameters +snr = 1.0 +lambda2 = 1.0 / snr ** 2 +method = "MNE" # use MNE method (could also be MNE or sLORETA) +stcs = apply_inverse_epochs(epochs, inverse_operator, lambda2, method, + pick_ori="normal", return_generator=True) + +# Get labels for FreeSurfer 'aparc' cortical parcellation with 34 labels/hemi +labels = mne.read_labels_from_annot('sample', parc='aparc', + subjects_dir=subjects_dir) +label_colors = [label.color for label in labels] + +# Average the source estimates within each label using sign-flips to reduce +# signal cancellations, also here we return a generator +src = inverse_operator['src'] +label_ts = mne.extract_label_time_course(stcs, labels, src, mode='mean_flip', + return_generator=False) +label_ts_ = np.array(label_ts) + +bands = ['alpha'] +freqs = [(8, 13)] +gcmethod = 'GPDC' +n_surr = 1 # number of surrogates +surr_thresh = 95 # percentile of surr threshold used +n_jobs = 1 +nfft = 512 + +# normalize the representative ts +print('\nperform normalization using zscoring...') +label_ts = stats.zscore(label_ts_, axis=2) + +morder = 15 # set fixed model order + +# set this to find the optimal model order using the BIC criterion +# be advised, this takes a long time !! +# morder, bic = compute_order(label_ts, m_max=100) # code provided by Qunxi +# print('the model order based on BIC is..', morder) + +# evaluate the chosen model order +print(('\nShape of label_ts -', label_ts.shape)) +# mvar needs (trials, channels, samples) +print(('\nRunning for model order - ', morder)) + +thr_cons, whit_min, whit_max = 0.8, 1., 3. +is_white, consistency, is_stable = do_mvar_evaluation(label_ts, morder, + whit_max, whit_min, + thr_cons) +print(('model_order, whiteness, consistency, stability: %d, %s, %f, %s\n' + % (morder, str(is_white), consistency, str(is_stable)))) + +# compute the Granger Partial Directed Coherence values +print('computing GPDC connectivity...') + +mvar = scot.var.VAR(morder) +# result : array, shape (`repeats`, n_channels, n_channels, nfft) +surr = scs.surrogate_connectivity(gcmethod, label_ts, mvar, nfft=nfft, + n_jobs=n_jobs, repeats=n_surr) + +mvar.fit(label_ts) +# mvar coefficients (n_channels, n_channels * model_order) +# mvar covariance matrix (n_channels, n_channels) +# result : array, shape (n_channels, n_channels, `nfft`) +cau = connectivity(gcmethod, mvar.coef, mvar.rescov, nfft=nfft) + +# get the band averaged, thresholded connectivity matrix +caus, max_cons, max_surrs = prepare_causality_matrix( + cau, surr, freqs, nfft=nfft, + sfreq=epochs.info['sfreq'], surr_thresh=surr_thresh) + +print(('Shape of causality matrix: ', caus.shape)) + +# read the label names used for plotting +# with open(labels_fname, 'r') as f: +# label_names = pickle.load(f) + +with open(labels_fname, 'r') as f: + label_names = yaml.safe_load(f)['label_names'] + +plot_grouped_causality_circle(caus[0], yaml_fname, label_names, n_lines=10, + labels_mode=None, replacer_dict=None, + out_fname='causality_sample.png', + colormap='Blues', colorbar=True, + arrowstyle='->,head_length=1,head_width=1', + figsize=(10, 6), show=False) + +t_end = time.time() +total_time_taken = t_end - t_start +print(('Total time taken in minutes: %f' % (total_time_taken / 60.))) diff --git a/docs/build/html/_downloads/ee5fcd6f3cbcdc343e5183b74955041d/plot_connectivity_between_standard_rsns.py b/docs/build/html/_downloads/ee5fcd6f3cbcdc343e5183b74955041d/plot_connectivity_between_standard_rsns.py new file mode 100644 index 00000000..9c8e22b0 --- /dev/null +++ b/docs/build/html/_downloads/ee5fcd6f3cbcdc343e5183b74955041d/plot_connectivity_between_standard_rsns.py @@ -0,0 +1,123 @@ +''' +Modified MNE-Python example script to show connectivity between standard +resting state network labels obtained from [1]. + +[1] P. Garcés, M. C. Martín-Buro, and F. Maestú, +“Quantifying the Test-Retest Reliability of Magnetoencephalography +Resting-State Functional Connectivity,” Brain Connect., vol. 6, no. 6, pp. +448–460, 2016. + +Author: Praveen sripad +''' + +import os.path as op + +import numpy as np +import matplotlib.pyplot as plt + +import mne +from mne.datasets import sample +from mne.minimum_norm import apply_inverse_epochs, read_inverse_operator +from mne.viz import circular_layout + +from mne_connectivity import spectral_connectivity_epochs +from mne_connectivity.viz import plot_connectivity_circle + +data_path = sample.data_path() +subjects_dir = op.join(data_path, 'subjects') +fname_inv = op.join(data_path, 'MEG/sample/sample_audvis-meg-oct-6-meg-inv.fif') +fname_raw = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw.fif') +fname_event = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw-eve.fif') + +# Load data +inverse_operator = read_inverse_operator(fname_inv) +raw = mne.io.read_raw_fif(fname_raw) +events = mne.read_events(fname_event) + +# Add a bad channel +raw.info['bads'] += ['MEG 2443'] + +# Pick MEG channels +picks = mne.pick_types(raw.info, meg=True, eeg=False, stim=False, eog=True, + exclude='bads') + +# Define epochs for left-auditory condition +event_id, tmin, tmax = 1, -0.2, 0.5 +epochs = mne.Epochs(raw, events, event_id, tmin, tmax, picks=picks, + baseline=(None, 0), reject=dict(mag=4e-12, grad=4000e-13, + eog=150e-6)) +if not epochs.preload: + epochs.load_data() + +# Compute inverse solution and for each epoch. By using "return_generator=True" +# stcs will be a generator object instead of a list. +snr = 1.0 # use lower SNR for single epochs +lambda2 = 1.0 / snr ** 2 +method = "MNE" # use dSPM method (could also be MNE or sLORETA) +stcs = apply_inverse_epochs(epochs, inverse_operator, lambda2, method, + pick_ori="normal", return_generator=True) + +# Get labels for FreeSurfer 'aparc' cortical parcellation with 34 labels/hemi +labels = mne.read_labels_from_annot('sample', parc='standard_garces_2016', + subjects_dir=subjects_dir) +labels = [lab for lab in labels if not lab.name.startswith('unknown')] +label_colors = [label.color for label in labels] + +# Average the source estimates within each label using sign-flips to reduce +# signal cancellations, also here we return a generator +src = inverse_operator['src'] +label_ts = mne.extract_label_time_course(stcs, labels, src, mode='mean_flip', + return_generator=True) + +fmin = 8. +fmax = 13. +sfreq = raw.info['sfreq'] # the sampling frequency +con_methods = ['coh', 'wpli'] +con = spectral_connectivity_epochs( + label_ts, method=con_methods, mode='multitaper', sfreq=sfreq, fmin=fmin, + fmax=fmax, faverage=True, mt_adaptive=True, n_jobs=4) + +# con is a 3D array, get the connectivity for the first (and only) freq. band +# for each method +con_res = dict() +for method, c in zip(con_methods, con): + con_res[method] = c.get_data(output='dense')[:, :, 0] + +# Now, we visualize the connectivity using a circular graph layout +# First, we reorder the labels based on their location in the left hemi +label_names = [label.name for label in labels] + +from jumeg import get_jumeg_path +yaml_fname = get_jumeg_path() + '/data/standard_garces_rsns_grouping.yaml' + +import yaml +with open(yaml_fname, 'r') as f: + xlabels = yaml.safe_load(f) + +# the yaml file has been hand curated to follow the same order as label_names +# if not the node order has to be changed appropriately +node_order = list() +node_order.extend(label_names) + +group_bound = [len(list(key.values())[0]) for key in xlabels] +group_bound = [0] + group_bound +group_boundaries = [sum(group_bound[:i+1]) for i in range(len(group_bound))] +group_boundaries.pop() + +rsn_colors = ['m', 'b', 'y', 'c', 'r', 'g', 'w'] + +group_bound.pop(0) +label_colors = [] +for ind, rep in enumerate(group_bound): + label_colors += [rsn_colors[ind]] * rep +assert len(label_colors) == len(node_order), 'Number of colours do not match' + +from mne.viz.circle import circular_layout +node_angles = circular_layout(label_names, label_names, start_pos=90, + group_boundaries=group_boundaries) + +# Plot the graph using node colors from the FreeSurfer parcellation. +plot_connectivity_circle(con_res['wpli'], label_names, n_lines=300, + node_angles=node_angles, node_colors=label_colors, + title='Connectivity between standard RSNs') +# plt.savefig('circle.png', facecolor='black') diff --git a/docs/build/html/_downloads/f9fe17957fef779faee87834a8a877fc/plot_compare_jumeg_filters.ipynb b/docs/build/html/_downloads/f9fe17957fef779faee87834a8a877fc/plot_compare_jumeg_filters.ipynb new file mode 100644 index 00000000..5c6db26d --- /dev/null +++ b/docs/build/html/_downloads/f9fe17957fef779faee87834a8a877fc/plot_compare_jumeg_filters.ipynb @@ -0,0 +1,43 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# Filtering in jumeg.\n\nComparison of the various filters available for use in mne/jumeg.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import os.path as op\n\nimport numpy as np\nimport matplotlib.pyplot as plt\n\nimport mne\nfrom mne.datasets import sample\n\nfrom jumeg.filter import jumeg_filter\n\ndata_path = sample.data_path()\nraw_fname = op.join(data_path, 'MEG/sample/sample_audvis_raw.fif')\n\n# load the raw data\nraw = mne.io.Raw(raw_fname, preload=True)\npicks = mne.pick_types(raw.info, meg='mag', exclude='bads')\nprint('Sampling frequency is %f' % raw.info['sfreq'])\n\n# plot the raw psd\nfig = raw.plot_psd(tmin=0.0, tmax=160., fmin=0, fmax=np.inf,\n picks=picks, ax=None, color='black', area_mode='std',\n area_alpha=0.33, n_overlap=0, dB=True, average=True,\n show=False, n_jobs=4, line_alpha=None,\n spatial_colors=None, xscale='linear', verbose='ERROR');\nfig.suptitle('Original sprectrum')\n\nl_freq, h_freq = 1., 45.\n\n# apply FIR filter\nfir_filt = raw.copy().filter(l_freq, h_freq, picks=picks, filter_length='auto',\n l_trans_bandwidth='auto', h_trans_bandwidth='auto',\n n_jobs=4, method='fir', iir_params=None, phase='zero',\n fir_window='hamming', verbose='ERROR')\n\n# apply IIR filter\nfilter_type = 'butter'\nfilt_method = 'fft'\niir_params={'ftype': filter_type, 'order': 4}\n\n# apply IIR filter\niir_filt = raw.copy().filter(l_freq, h_freq, picks=picks, filter_length='auto',\n l_trans_bandwidth='auto', h_trans_bandwidth='auto',\n n_jobs=4, method='iir', iir_params=iir_params, phase='zero',\n fir_window='hamming', verbose='ERROR')\n\n# apply the jumeg filter using mne\nfilt_ju_mne = jumeg_filter(filter_method='mne', filter_type='bp', fcut1=l_freq, fcut2=h_freq,\n remove_dcoffset=True, sampling_frequency=raw.info['sfreq'],\n filter_window='hamming', notch=np.array([50., 60.]),\n notch_width=1.0, order=4, njobs=4,\n mne_filter_method='fft',mne_filter_length='10s',\n trans_bandwith=0.5)\nju_mne_filt = raw.copy() # make a copy\nju_mne_filt._data = filt_ju_mne.apply_filter(ju_mne_filt._data, picks)\n\n# apply the jumeg filter using bw\nfilt_ju_bw = jumeg_filter(filter_method='bw', filter_type='bp', fcut1=l_freq, fcut2=h_freq,\n remove_dcoffset=True, sampling_frequency=raw.info['sfreq'],\n filter_window='hamming', notch=np.array([50., 60.]),\n notch_width=1.0, order=4, njobs=4,\n mne_filter_method='fft',mne_filter_length='10s',\n trans_bandwith=0.5)\nfilt_ju_bw.verbose = False\nju_bw_filt = raw.copy() # make a copy\nfilt_ju_bw.apply_filter(ju_bw_filt._data, picks)\n\nfig, (ax1, ax2) = plt.subplots(1, 2)\n\n# plot the jumeg MNE and jumeg Butterworth filtered raw psds\nju_mne_filt.plot_psd(tmin=0.0, tmax=160., fmin=0, fmax=70., n_fft=None,\n picks=picks, ax=ax1, color='blue', area_mode='std',\n area_alpha=0.33, n_overlap=0, dB=True, average=True,\n show=False, n_jobs=4, line_alpha=None,\n spatial_colors=None, xscale='linear', verbose=None);\n\nju_bw_filt.plot_psd(tmin=0.0, tmax=160., fmin=0, fmax=70., n_fft=None,\n picks=picks, ax=ax1, color='green', area_mode='std',\n area_alpha=0.33, n_overlap=0, dB=True, average=True,\n show=False, n_jobs=4, line_alpha=None,\n spatial_colors=None, xscale='linear', verbose=None);\n\nax1.set_xlim(0., 75.);\nax1.set_title('jumeg MNE (blue)/jumeg BW (green)');\n\n# plot the MNE FIR and IIR filterered raw psds\nfir_filt.plot_psd(tmin=0.0, tmax=160., fmin=0, fmax=70., n_fft=None,\n picks=picks, ax=ax2, color='red', area_mode='std',\n area_alpha=0.33, n_overlap=0, dB=True, average=True,\n show=False, n_jobs=4, line_alpha=None,\n spatial_colors=None, xscale='linear', verbose='ERROR');\n\niir_filt.plot_psd(tmin=0.0, tmax=160., fmin=0., fmax=70., n_fft=None,\n picks=picks, ax=ax2, color='yellow', area_mode='std',\n area_alpha=0.33, n_overlap=0, dB=True, average=True,\n show=False, n_jobs=4, line_alpha=None,\n spatial_colors=None, xscale='linear', verbose='ERROR');\nax2.set_xlim(0., 75.);\nax2.set_title('MNE FIR (red)/ MNE IIR (yellow)');\n\nfig.tight_layout()\nplt.show()\n\n# Recommendation: Presently, it is best to use the MNE FIR filter for our\n# filtering requirements. The jumeg filter module (which wraps around mne\n# filter) may be used when the MNE band_pass_filter needs to be combined with\n# the notch_filter. In cases where the notch frequencies are removed using the\n# noise reducer, the mne FIR filter can be directly used." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/docs/build/html/_sources/api.rst.txt b/docs/build/html/_sources/api.rst.txt new file mode 100644 index 00000000..f30fcc83 --- /dev/null +++ b/docs/build/html/_sources/api.rst.txt @@ -0,0 +1,49 @@ +.. _api_documentation: + +================= +API Documentation +================= + +.. currentmodule:: jumeg + +Connectivity +============ + +Functions + +.. currentmodule:: jumeg.connectivity + +.. autosummary:: + :toctree: generated/ + :nosignatures: + + find_distances_matrix + weighted_con_matrix + get_label_distances + make_annot_from_csv + + sensor_connectivity_3d + plot_grouped_connectivity_circle + plot_generic_grouped_circle + plot_grouped_causality_circle + plot_degree_circle + plot_lines_and_blobs + plot_labelled_group_connectivity_circle + plot_fica_grouped_circle + +.. currentmodule:: jumeg.connectivity.causality + +.. autosummary:: + :toctree: generated/ + :nosignatures: + + dw_whiteness + consistency + do_mvar_evaluation + check_whiteness_and_consistency + check_model_order + prepare_causality_matrix + make_frequency_bands + compute_order_extended + compute_order + compute_causal_outflow_inflow diff --git a/docs/build/html/_sources/auto_examples/causality/do_granger_causality.rst.txt b/docs/build/html/_sources/auto_examples/causality/do_granger_causality.rst.txt new file mode 100644 index 00000000..9f841426 --- /dev/null +++ b/docs/build/html/_sources/auto_examples/causality/do_granger_causality.rst.txt @@ -0,0 +1,206 @@ + +.. DO NOT EDIT. +.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. +.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: +.. "auto_examples/causality/do_granger_causality.py" +.. LINE NUMBERS ARE GIVEN BELOW. + +.. only:: html + + .. note:: + :class: sphx-glr-download-link-note + + :ref:`Go to the end ` + to download the full example code + +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_causality_do_granger_causality.py: + + +============= +Granger Causality Analysis +============= + +Perform Granger based causality analysis using Generalized Parital Directed +Coherence on example dataset. + +Uses the data and example from mne-python combined with the Scot package +to perform the Granger Causality analysis. + +Author: Praveen Sripad + +.. GENERATED FROM PYTHON SOURCE LINES 16-156 + +.. code-block:: default + + + import numpy as np + from scipy import stats + + import mne + from mne.datasets import sample + from mne.minimum_norm import apply_inverse_epochs, read_inverse_operator + from jumeg.jumeg_utils import get_jumeg_path + from jumeg.connectivity.causality import (compute_order, do_mvar_evaluation, + prepare_causality_matrix) + from jumeg.connectivity import (plot_grouped_connectivity_circle, + plot_grouped_causality_circle) + + import scot + import scot.connectivity_statistics as scs + from scot.connectivity import connectivity + import yaml + + import time + t_start = time.time() + + print(('Scot version -', scot.__version__)) + + yaml_fname = get_jumeg_path() + '/data/desikan_aparc_cortex_based_grouping.yaml' + labels_fname = get_jumeg_path() + '/data/desikan_label_names.yaml' + + data_path = sample.data_path() + subjects_dir = data_path + '/subjects' + fname_inv = data_path + '/MEG/sample/sample_audvis-meg-oct-6-meg-inv.fif' + fname_raw = data_path + '/MEG/sample/sample_audvis_filt-0-40_raw.fif' + fname_event = data_path + '/MEG/sample/sample_audvis_filt-0-40_raw-eve.fif' + + # Load data + inverse_operator = read_inverse_operator(fname_inv) + raw = mne.io.read_raw_fif(fname_raw) + events = mne.read_events(fname_event) + + # Add a bad channel + raw.info['bads'] += ['MEG 2443'] + + # Pick MEG channels + picks = mne.pick_types(raw.info, meg=True, eeg=False, stim=False, eog=True, + exclude='bads') + + # Define epochs for left-auditory condition + event_id, tmin, tmax = 1, -0.2, 0.5 + epochs = mne.Epochs(raw, events, event_id, tmin, tmax, picks=picks, + baseline=(None, 0), reject=dict(mag=4e-12, grad=4000e-13, + eog=150e-6)) + if not epochs.preload: + epochs.load_data() + + # parameters, lots of parameters + snr = 1.0 + lambda2 = 1.0 / snr ** 2 + method = "MNE" # use MNE method (could also be MNE or sLORETA) + stcs = apply_inverse_epochs(epochs, inverse_operator, lambda2, method, + pick_ori="normal", return_generator=True) + + # Get labels for FreeSurfer 'aparc' cortical parcellation with 34 labels/hemi + labels = mne.read_labels_from_annot('sample', parc='aparc', + subjects_dir=subjects_dir) + label_colors = [label.color for label in labels] + + # Average the source estimates within each label using sign-flips to reduce + # signal cancellations, also here we return a generator + src = inverse_operator['src'] + label_ts = mne.extract_label_time_course(stcs, labels, src, mode='mean_flip', + return_generator=False) + label_ts_ = np.array(label_ts) + + bands = ['alpha'] + freqs = [(8, 13)] + gcmethod = 'GPDC' + n_surr = 1 # number of surrogates + surr_thresh = 95 # percentile of surr threshold used + n_jobs = 1 + nfft = 512 + + # normalize the representative ts + print('\nperform normalization using zscoring...') + label_ts = stats.zscore(label_ts_, axis=2) + + morder = 15 # set fixed model order + + # set this to find the optimal model order using the BIC criterion + # be advised, this takes a long time !! + # morder, bic = compute_order(label_ts, m_max=100) # code provided by Qunxi + # print('the model order based on BIC is..', morder) + + # evaluate the chosen model order + print(('\nShape of label_ts -', label_ts.shape)) + # mvar needs (trials, channels, samples) + print(('\nRunning for model order - ', morder)) + + thr_cons, whit_min, whit_max = 0.8, 1., 3. + is_white, consistency, is_stable = do_mvar_evaluation(label_ts, morder, + whit_max, whit_min, + thr_cons) + print(('model_order, whiteness, consistency, stability: %d, %s, %f, %s\n' + % (morder, str(is_white), consistency, str(is_stable)))) + + # compute the Granger Partial Directed Coherence values + print('computing GPDC connectivity...') + + mvar = scot.var.VAR(morder) + # result : array, shape (`repeats`, n_channels, n_channels, nfft) + surr = scs.surrogate_connectivity(gcmethod, label_ts, mvar, nfft=nfft, + n_jobs=n_jobs, repeats=n_surr) + + mvar.fit(label_ts) + # mvar coefficients (n_channels, n_channels * model_order) + # mvar covariance matrix (n_channels, n_channels) + # result : array, shape (n_channels, n_channels, `nfft`) + cau = connectivity(gcmethod, mvar.coef, mvar.rescov, nfft=nfft) + + # get the band averaged, thresholded connectivity matrix + caus, max_cons, max_surrs = prepare_causality_matrix( + cau, surr, freqs, nfft=nfft, + sfreq=epochs.info['sfreq'], surr_thresh=surr_thresh) + + print(('Shape of causality matrix: ', caus.shape)) + + # read the label names used for plotting + # with open(labels_fname, 'r') as f: + # label_names = pickle.load(f) + + with open(labels_fname, 'r') as f: + label_names = yaml.safe_load(f)['label_names'] + + plot_grouped_causality_circle(caus[0], yaml_fname, label_names, n_lines=10, + labels_mode=None, replacer_dict=None, + out_fname='causality_sample.png', + colormap='Blues', colorbar=True, + arrowstyle='->,head_length=1,head_width=1', + figsize=(10, 6), show=False) + + t_end = time.time() + total_time_taken = t_end - t_start + print(('Total time taken in minutes: %f' % (total_time_taken / 60.))) + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 0.000 seconds) + + +.. _sphx_glr_download_auto_examples_causality_do_granger_causality.py: + +.. only:: html + + .. container:: sphx-glr-footer sphx-glr-footer-example + + + + + .. container:: sphx-glr-download sphx-glr-download-python + + :download:`Download Python source code: do_granger_causality.py ` + + .. container:: sphx-glr-download sphx-glr-download-jupyter + + :download:`Download Jupyter notebook: do_granger_causality.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/build/html/_sources/auto_examples/causality/index.rst.txt b/docs/build/html/_sources/auto_examples/causality/index.rst.txt new file mode 100644 index 00000000..7db3e4b8 --- /dev/null +++ b/docs/build/html/_sources/auto_examples/causality/index.rst.txt @@ -0,0 +1,76 @@ + + +.. _sphx_glr_auto_examples_causality: + +Causality analysis. + + + +.. raw:: html + +

+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/causality/images/thumb/sphx_glr_plot_causality_circle_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_causality_plot_causality_circle.py` + +.. raw:: html + +
Plot Causality Matrix
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/causality/images/thumb/sphx_glr_plot_inter_and_intra_lobe_causality_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_causality_plot_inter_and_intra_lobe_causality.py` + +.. raw:: html + +
Group Causality Matrix
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/causality/images/thumb/sphx_glr_do_granger_causality_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_causality_do_granger_causality.py` + +.. raw:: html + +
Granger Causality Analysis
+
+ + +.. raw:: html + +
+ + +.. toctree:: + :hidden: + + /auto_examples/causality/plot_causality_circle + /auto_examples/causality/plot_inter_and_intra_lobe_causality + /auto_examples/causality/do_granger_causality + diff --git a/docs/build/html/_sources/auto_examples/causality/plot_causality_circle.rst.txt b/docs/build/html/_sources/auto_examples/causality/plot_causality_circle.rst.txt new file mode 100644 index 00000000..80d48c20 --- /dev/null +++ b/docs/build/html/_sources/auto_examples/causality/plot_causality_circle.rst.txt @@ -0,0 +1,111 @@ + +.. DO NOT EDIT. +.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. +.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: +.. "auto_examples/causality/plot_causality_circle.py" +.. LINE NUMBERS ARE GIVEN BELOW. + +.. only:: html + + .. note:: + :class: sphx-glr-download-link-note + + :ref:`Go to the end ` + to download the full example code + +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_causality_plot_causality_circle.py: + + +============= +Plot Causality Matrix +============= + +Example showing how to plot a causality matrix on a circle plot. + +.. GENERATED FROM PYTHON SOURCE LINES 10-40 + + + +.. image-sg:: /auto_examples/causality/images/sphx_glr_plot_causality_circle_001.png + :alt: Causal Metric + :srcset: /auto_examples/causality/images/sphx_glr_plot_causality_circle_001.png + :class: sphx-glr-single-img + + +.. rst-class:: sphx-glr-script-out + + .. code-block:: none + + +
+ + + + + +| + +.. code-block:: default + + + import numpy as np + + from jumeg import get_jumeg_path + from jumeg.connectivity import plot_grouped_causality_circle + import yaml + + # load the yaml grouping of Freesurfer labels + yaml_fname = get_jumeg_path() + '/data/desikan_aparc_cortex_based_grouping.yaml' + labels_fname = get_jumeg_path() + '/data/desikan_label_names.yaml' + replacer_dict_fname = get_jumeg_path() + '/data/replacer_dictionaries.yaml' + + with open(labels_fname, 'r') as f: + label_names = yaml.safe_load(f)['label_names'] + + with open(replacer_dict_fname, 'r') as f: + replacer_dict = yaml.safe_load(f)['replacer_dict_aparc'] + + # make a random causality matrix + n_nodes = 68 # currently needs to be always this number + caus = np.random.random((n_nodes, n_nodes)) + caus[np.diag_indices_from(caus)] = 0. + caus[caus < 0.7] = 0. + + plot_grouped_causality_circle(caus, yaml_fname, label_names, n_lines=10, + labels_mode='replace', replacer_dict=replacer_dict, + out_fname='fig_causality_circle.png', + colormap='Blues', colorbar=True, + figsize=(6, 6), show=False, + arrowstyle='->,head_length=1,head_width=1') + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 0.645 seconds) + + +.. _sphx_glr_download_auto_examples_causality_plot_causality_circle.py: + +.. only:: html + + .. container:: sphx-glr-footer sphx-glr-footer-example + + + + + .. container:: sphx-glr-download sphx-glr-download-python + + :download:`Download Python source code: plot_causality_circle.py ` + + .. container:: sphx-glr-download sphx-glr-download-jupyter + + :download:`Download Jupyter notebook: plot_causality_circle.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/build/html/_sources/auto_examples/causality/plot_inter_and_intra_lobe_causality.rst.txt b/docs/build/html/_sources/auto_examples/causality/plot_inter_and_intra_lobe_causality.rst.txt new file mode 100644 index 00000000..d8fb1bae --- /dev/null +++ b/docs/build/html/_sources/auto_examples/causality/plot_inter_and_intra_lobe_causality.rst.txt @@ -0,0 +1,205 @@ + +.. DO NOT EDIT. +.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. +.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: +.. "auto_examples/causality/plot_inter_and_intra_lobe_causality.py" +.. LINE NUMBERS ARE GIVEN BELOW. + +.. only:: html + + .. note:: + :class: sphx-glr-download-link-note + + :ref:`Go to the end ` + to download the full example code + +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_causality_plot_inter_and_intra_lobe_causality.py: + + +============= +Group Causality Matrix +============= + +Group a causality matrix by lobes and plot the resulting +inter- and intra-lobe causality. + +Author: Christian Kiefer + +.. GENERATED FROM PYTHON SOURCE LINES 11-29 + +.. code-block:: default + + + import os + import os.path as op + + import numpy as np + import matplotlib.pyplot as plt + import mne + + from mne.datasets import sample + + print(__doc__) + + data_path = sample.data_path() + + from jumeg.connectivity.con_utils import group_con_matrix_by_lobe + from jumeg.connectivity.con_viz import plot_grouped_causality_circle + from jumeg.jumeg_utils import get_jumeg_path + + + + + + + + +.. GENERATED FROM PYTHON SOURCE LINES 30-32 + +Load the grouping files +############################################################################## + +.. GENERATED FROM PYTHON SOURCE LINES 32-38 + +.. code-block:: default + + + grouping_yaml_fname = op.join(get_jumeg_path(), 'data', + 'desikan_aparc_cortex_based_grouping_ck.yaml') + lobe_grouping_yaml_fname = op.join(get_jumeg_path(), 'data', + 'lobes_grouping.yaml') + + + + + + + + +.. GENERATED FROM PYTHON SOURCE LINES 39-41 + +Load anatomical labels +############################################################################## + +.. GENERATED FROM PYTHON SOURCE LINES 41-50 + +.. code-block:: default + + + subjects_dir = op.join(data_path, 'subjects') + os.environ['SUBJECTS_DIR'] = subjects_dir + + full_labels = mne.read_labels_from_annot(subject='fsaverage', parc='aparc', + hemi='both', subjects_dir=subjects_dir) + + full_label_names = [full_label.name for full_label in full_labels if full_label.name.find('unknown') == -1] + + + + + +.. rst-class:: sphx-glr-script-out + + .. code-block:: none + + Reading labels from parcellation... + read 35 labels from /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/subjects/fsaverage/label/lh.aparc.annot + read 34 labels from /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/subjects/fsaverage/label/rh.aparc.annot + + + + +.. GENERATED FROM PYTHON SOURCE LINES 51-53 + +create random causality matrix +############################################################################## + +.. GENERATED FROM PYTHON SOURCE LINES 53-64 + +.. code-block:: default + + + # create causality matrix + np.random.seed(42) + cau = np.random.uniform(-0.99, 0.01, (len(full_label_names), len(full_label_names))) + + cau[cau < 0] = 0 + cau = cau / 0.01 # values between 0 and 1 + + cau_grp, grp_label_names = group_con_matrix_by_lobe(con=cau, label_names=full_label_names, + grouping_yaml_fname=grouping_yaml_fname) + + + + + + + + +.. GENERATED FROM PYTHON SOURCE LINES 65-67 + +Compare original matrix with grouped matrix plot +############################################################################## + +.. GENERATED FROM PYTHON SOURCE LINES 67-87 + +.. code-block:: default + + + fig = plot_grouped_causality_circle(cau, grouping_yaml_fname, full_label_names, + title='original causality matrix', n_lines=None, + labels_mode=None, replacer_dict=None, out_fname=None, + colormap='magma_r', colorbar=True, colorbar_pos=(-0.25, 0.05), + arrowstyle='->,head_length=0.7,head_width=0.4', + figsize=(9.1, 6), vmin=0., vmax=1.0, ignore_diagonal=True, + show=True) + + plt.close(fig) + + fig = plot_grouped_causality_circle(cau_grp, lobe_grouping_yaml_fname, grp_label_names, + title='test', n_lines=None, labels_mode=None, + replacer_dict=None, out_fname=None, colormap='magma_r', + colorbar=True, colorbar_pos=(-0.25, 0.05), + arrowstyle='->,head_length=0.7,head_width=0.4', + figsize=(9.1, 6), vmin=0., ignore_diagonal=False, + show=True) + + plt.close(fig) + + + + + + + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 0.213 seconds) + + +.. _sphx_glr_download_auto_examples_causality_plot_inter_and_intra_lobe_causality.py: + +.. only:: html + + .. container:: sphx-glr-footer sphx-glr-footer-example + + + + + .. container:: sphx-glr-download sphx-glr-download-python + + :download:`Download Python source code: plot_inter_and_intra_lobe_causality.py ` + + .. container:: sphx-glr-download sphx-glr-download-jupyter + + :download:`Download Jupyter notebook: plot_inter_and_intra_lobe_causality.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/build/html/_sources/auto_examples/causality/sg_execution_times.rst.txt b/docs/build/html/_sources/auto_examples/causality/sg_execution_times.rst.txt new file mode 100644 index 00000000..f26cfc64 --- /dev/null +++ b/docs/build/html/_sources/auto_examples/causality/sg_execution_times.rst.txt @@ -0,0 +1,17 @@ + +:orphan: + +.. _sphx_glr_auto_examples_causality_sg_execution_times: + + +Computation times +================= +**00:00.859** total execution time for **auto_examples_causality** files: + ++-----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_examples_causality_plot_causality_circle.py` (``plot_causality_circle.py``) | 00:00.645 | 0.0 MB | ++-----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_examples_causality_plot_inter_and_intra_lobe_causality.py` (``plot_inter_and_intra_lobe_causality.py``) | 00:00.213 | 0.0 MB | ++-----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_examples_causality_do_granger_causality.py` (``do_granger_causality.py``) | 00:00.000 | 0.0 MB | ++-----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/docs/build/html/_sources/auto_examples/connectivity/index.rst.txt b/docs/build/html/_sources/auto_examples/connectivity/index.rst.txt new file mode 100644 index 00000000..1638fd99 --- /dev/null +++ b/docs/build/html/_sources/auto_examples/connectivity/index.rst.txt @@ -0,0 +1,418 @@ + + +.. _sphx_glr_auto_examples_connectivity: + +Connectivity analysis. + + + +.. raw:: html + +
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_degree_circle_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_degree_circle.py` + +.. raw:: html + +
Plot degree circle
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_vertices_around_seed_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_vertices_around_seed.py` + +.. raw:: html + +
Plot vertices around seed.
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_destriux_atlas_based_connectivity_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_destriux_atlas_based_connectivity.py` + +.. raw:: html + +
Plot Destriux Atlas
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_labelled_connectivity_circle_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_labelled_connectivity_circle.py` + +.. raw:: html + +
Plot labelled connectivity circle
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_surrogate_methods_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_surrogate_methods.py` + +.. raw:: html + +
Plot surrogate methods
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_brain_connectome_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_brain_connectome.py` + +.. raw:: html + +
Plot brain connectome
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_circle_lines_and_blobs_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_circle_lines_and_blobs.py` + +.. raw:: html + +
Plot centrality indices on connectivity circle plot
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_annot_standard_rsns_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_annot_standard_rsns.py` + +.. raw:: html + +
Visualise Standard RSNs
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_generic_grouped_connectivity_circle_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_generic_grouped_connectivity_circle.py` + +.. raw:: html + +
Generic Grouped Connectivity Circle
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_compute_label_distances_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_compute_label_distances.py` + +.. raw:: html + +
Compute Label Distances
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_compute_epochs_surrogates_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_compute_epochs_surrogates.py` + +.. raw:: html + +
Surrogate Connectivity Generation
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_grouped_connectivity_circle_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_grouped_connectivity_circle.py` + +.. raw:: html + +
Plot grouped connectivity circle.
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_test_transform_mni_to_ras_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_test_transform_mni_to_ras.py` + +.. raw:: html + +
To plot a vertex point, convert it to MNI coordinates and then reconvert it back to RAS to obtain the vertex number.
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_generate_surrogate_stcs_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_generate_surrogate_stcs.py` + +.. raw:: html + +
Generate surrogate STCs
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_shuffle_time_slices_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_shuffle_time_slices.py` + +.. raw:: html + +
Shuffle channels' data in the time domain and plot.
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_label_distances_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_label_distances.py` + +.. raw:: html + +
Plot label distances
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_communities_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_communities.py` + +.. raw:: html + +
Plot network communities
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_custom_grouped_connectivity_circle_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_custom_grouped_connectivity_circle.py` + +.. raw:: html + +
Plot Custom Grouped Circle
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_standard_resting_network_on_aparc_annot_map_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_standard_resting_network_on_aparc_annot_map.py` + +.. raw:: html + +
Standard RSNs on the connectivity circle
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_connectivity_between_standard_rsns_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_connectivity_between_standard_rsns.py` + +.. raw:: html + +
Modified MNE-Python example script to show connectivity between standard
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_generate_surrogate_connectivity_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_generate_surrogate_connectivity.py` + +.. raw:: html + +
Surrogate computation
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_simulated_connectivity_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_simulated_connectivity.py` + +.. raw:: html + +
Simulating Connectivity
+
+ + +.. raw:: html + +
+ + +.. toctree:: + :hidden: + + /auto_examples/connectivity/plot_degree_circle + /auto_examples/connectivity/plot_vertices_around_seed + /auto_examples/connectivity/plot_destriux_atlas_based_connectivity + /auto_examples/connectivity/plot_labelled_connectivity_circle + /auto_examples/connectivity/plot_surrogate_methods + /auto_examples/connectivity/plot_brain_connectome + /auto_examples/connectivity/plot_circle_lines_and_blobs + /auto_examples/connectivity/plot_annot_standard_rsns + /auto_examples/connectivity/plot_generic_grouped_connectivity_circle + /auto_examples/connectivity/plot_compute_label_distances + /auto_examples/connectivity/plot_compute_epochs_surrogates + /auto_examples/connectivity/plot_grouped_connectivity_circle + /auto_examples/connectivity/plot_test_transform_mni_to_ras + /auto_examples/connectivity/plot_generate_surrogate_stcs + /auto_examples/connectivity/plot_shuffle_time_slices + /auto_examples/connectivity/plot_label_distances + /auto_examples/connectivity/plot_communities + /auto_examples/connectivity/plot_custom_grouped_connectivity_circle + /auto_examples/connectivity/plot_standard_resting_network_on_aparc_annot_map + /auto_examples/connectivity/plot_connectivity_between_standard_rsns + /auto_examples/connectivity/plot_generate_surrogate_connectivity + /auto_examples/connectivity/plot_simulated_connectivity + diff --git a/docs/build/html/_sources/auto_examples/connectivity/plot_annot_standard_rsns.rst.txt b/docs/build/html/_sources/auto_examples/connectivity/plot_annot_standard_rsns.rst.txt new file mode 100644 index 00000000..e314a5fd --- /dev/null +++ b/docs/build/html/_sources/auto_examples/connectivity/plot_annot_standard_rsns.rst.txt @@ -0,0 +1,218 @@ + +.. DO NOT EDIT. +.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. +.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: +.. "auto_examples/connectivity/plot_annot_standard_rsns.py" +.. LINE NUMBERS ARE GIVEN BELOW. + +.. only:: html + + .. note:: + :class: sphx-glr-download-link-note + + :ref:`Go to the end ` + to download the full example code + +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_connectivity_plot_annot_standard_rsns.py: + + +============= +Visualise Standard RSNs +============= + +Grow and visualize standard resting state ROIs from literature. + +1. Read ROIs of standard regions involved in resting state networks from literature. + (the data is provided as a csv file with list of regions with seed MNI coordinates) +2. Grow labels of 1cm radius (approx) in the surface source space. +3. Make annotation and visualize the labels. + +Uses RSNs provided by [1] +[1] P. Garcés, M. C. Martín-Buro, and F. Maestú, +“Quantifying the Test-Retest Reliability of Magnetoencephalography +Resting-State Functional Connectivity,” Brain Connect., vol. 6, no. 6, pp. 448–460, 2016. + +Author: Praveen Sripad + +.. GENERATED FROM PYTHON SOURCE LINES 22-61 + + + +.. image-sg:: /auto_examples/connectivity/images/sphx_glr_plot_annot_standard_rsns_001.png + :alt: plot annot standard rsns + :srcset: /auto_examples/connectivity/images/sphx_glr_plot_annot_standard_rsns_001.png + :class: sphx-glr-single-img + + +.. rst-class:: sphx-glr-script-out + + .. code-block:: none + + Visual Left visual cortex : [-41 -77 3] lh Closest vertex on surface chosen: [6708] + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.7s remaining: 0.7s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.7s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.7s finished + Right visual cortex : [ 41 -72 1] rh Closest vertex on surface chosen: [10095] + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s finished + Sensorimotor Left primary somatosensory cortex : [-38 -27 52] lh Closest vertex on surface chosen: [62711] + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.1s remaining: 0.1s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s finished + Right primary somatosensory cortex : [ 40 -25 50] rh Closest vertex on surface chosen: [71297] + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s finished + Auditory Left primary auditory cortex : [-55 -21 7] lh Closest vertex on surface chosen: [72410] + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s finished + Right primary auditory cortex : [ 57 -20 7] rh Closest vertex on surface chosen: [76848] + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s finished + DMN Precuneus : [ 1 -57 28] lh Closest vertex on surface chosen: [29030] + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s finished + Left inferior parietal : [-45 -65 30] lh Closest vertex on surface chosen: [15645] + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.1s remaining: 0.1s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s finished + Right inferior parietal : [ 52 -60 26] rh Closest vertex on surface chosen: [26366] + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.1s remaining: 0.1s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s finished + Anterior cingulate : [ 2 42 7] lh Closest vertex on surface chosen: [155310] + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.1s remaining: 0.1s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s finished + Left FP Left angular gyrus : [-40 -58 56] lh Closest vertex on surface chosen: [24630] + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s finished + Left middle frontal gyrus : [-42 28 23] lh Closest vertex on surface chosen: [126993] + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.1s remaining: 0.1s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s finished + Right FP Right angular gyrus : [ 53 -50 43] rh Closest vertex on surface chosen: [38519] + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s finished + Right middle frontal gyrus : [45 28 26] rh Closest vertex on surface chosen: [130082] + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.1s remaining: 0.1s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s finished + Frontoinsular Left insula : [-38 16 2] lh Closest vertex on surface chosen: [115415] + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.1s remaining: 0.1s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s finished + Right insula : [38 16 2] rh Closest vertex on surface chosen: [119046] + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s finished + Median cingulate : [-2 12 40] lh Closest vertex on surface chosen: [110618] + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.1s remaining: 0.1s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s finished + Using pyvistaqt 3d backend. + + + + + + + +| + +.. code-block:: default + + + import os.path as op + import numpy as np + import mne + + from mne.datasets import sample + from jumeg.jumeg_utils import get_jumeg_path + from jumeg.connectivity import make_annot_from_csv + + from nilearn import plotting + from mne.viz import Brain + + data_path = sample.data_path() + subject = 'sample' + subjects_dir = op.join(data_path, 'subjects') + parc_fname = 'standard_garces_2016' + csv_fname = op.join(get_jumeg_path(), 'data', 'standard_rsns.csv') + + # set make_annot to True to save the annotation to disk + labels, coords, _ = make_annot_from_csv(subject, subjects_dir, csv_fname, + parc_fname=parc_fname, make_annot=False, + return_label_coords=True) + + # to plot mni coords on glass brain + n_nodes = np.array(coords).shape[0] + # make a random zero valued connectivity matrix + con = np.zeros((n_nodes, n_nodes)) + # plot the connectome on a glass brain background + plotting.plot_connectome(con, coords) + plotting.show() + + # plot the brain surface, foci and labels + Brain = mne.viz.get_brain_class() + brain = Brain(subject, hemi='both', surf='white', subjects_dir=subjects_dir) + + for mni_coord, mylabel in zip(coords, labels): + brain.add_foci(mni_coord, coords_as_verts=False, hemi=mylabel.hemi, + color='red', scale_factor=0.6) + brain.add_label(mylabel, hemi=mylabel.hemi) + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 6.434 seconds) + + +.. _sphx_glr_download_auto_examples_connectivity_plot_annot_standard_rsns.py: + +.. only:: html + + .. container:: sphx-glr-footer sphx-glr-footer-example + + + + + .. container:: sphx-glr-download sphx-glr-download-python + + :download:`Download Python source code: plot_annot_standard_rsns.py ` + + .. container:: sphx-glr-download sphx-glr-download-jupyter + + :download:`Download Jupyter notebook: plot_annot_standard_rsns.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/build/html/_sources/auto_examples/connectivity/plot_brain_connectome.rst.txt b/docs/build/html/_sources/auto_examples/connectivity/plot_brain_connectome.rst.txt new file mode 100644 index 00000000..6c8172e0 --- /dev/null +++ b/docs/build/html/_sources/auto_examples/connectivity/plot_brain_connectome.rst.txt @@ -0,0 +1,130 @@ + +.. DO NOT EDIT. +.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. +.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: +.. "auto_examples/connectivity/plot_brain_connectome.py" +.. LINE NUMBERS ARE GIVEN BELOW. + +.. only:: html + + .. note:: + :class: sphx-glr-download-link-note + + :ref:`Go to the end ` + to download the full example code + +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_connectivity_plot_brain_connectome.py: + + +============= +Plot brain connectome +============= + +Plot connectivity on a glass brain using 'plot_connectome' function from +Nilearn (https://nilearn.github.io/). + +Author: Praveen Sripad + +.. GENERATED FROM PYTHON SOURCE LINES 13-57 + + + +.. image-sg:: /auto_examples/connectivity/images/sphx_glr_plot_brain_connectome_001.png + :alt: plot brain connectome + :srcset: /auto_examples/connectivity/images/sphx_glr_plot_brain_connectome_001.png + :class: sphx-glr-single-img + + +.. rst-class:: sphx-glr-script-out + + .. code-block:: none + + Reading labels from parcellation... + read 35 labels from /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/subjects/fsaverage/label/lh.aparc.annot + read 34 labels from /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/subjects/fsaverage/label/rh.aparc.annot + + + + + + +| + +.. code-block:: default + + + import os.path as op + import numpy as np + import matplotlib.pyplot as plt + + import mne + from mne.datasets import sample + + from nilearn import plotting + + from jumeg.connectivity import generate_random_connectivity_matrix + + data_path = sample.data_path() + subjects_dir = op.join(data_path, 'subjects') + subject = 'fsaverage' + + aparc = mne.read_labels_from_annot(subject, subjects_dir=subjects_dir, + parc='aparc') + + # nodes in one hemisphere can be plotted as well + aparc_lh = [lab for lab in aparc if lab.hemi == 'lh'] + + coords = [] + + # plot 10 nodes from left hemisphere only for better viz + for lab in aparc_lh[:10]: + if lab.name == 'unknown-lh': + continue + # get the center of mass + com = lab.center_of_mass('fsaverage') + # obtain mni coordinated to the vertex from left hemi + coords_ = mne.vertex_to_mni(com, hemis=0, subject=subject, + subjects_dir=subjects_dir) + coords.append(coords_) + + n_nodes = np.array(coords).shape[0] + + # make a random connectivity matrix + con = generate_random_connectivity_matrix(size=(n_nodes, n_nodes), + symmetric=True) + + # plot the connectome on a glass brain background + plotting.plot_connectome(con, coords) + plt.show() + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 0.592 seconds) + + +.. _sphx_glr_download_auto_examples_connectivity_plot_brain_connectome.py: + +.. only:: html + + .. container:: sphx-glr-footer sphx-glr-footer-example + + + + + .. container:: sphx-glr-download sphx-glr-download-python + + :download:`Download Python source code: plot_brain_connectome.py ` + + .. container:: sphx-glr-download sphx-glr-download-jupyter + + :download:`Download Jupyter notebook: plot_brain_connectome.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/build/html/_sources/auto_examples/connectivity/plot_circle_lines_and_blobs.rst.txt b/docs/build/html/_sources/auto_examples/connectivity/plot_circle_lines_and_blobs.rst.txt new file mode 100644 index 00000000..78fcd2de --- /dev/null +++ b/docs/build/html/_sources/auto_examples/connectivity/plot_circle_lines_and_blobs.rst.txt @@ -0,0 +1,120 @@ + +.. DO NOT EDIT. +.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. +.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: +.. "auto_examples/connectivity/plot_circle_lines_and_blobs.py" +.. LINE NUMBERS ARE GIVEN BELOW. + +.. only:: html + + .. note:: + :class: sphx-glr-download-link-note + + :ref:`Go to the end ` + to download the full example code + +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_connectivity_plot_circle_lines_and_blobs.py: + + +============= +Plot centrality indices on connectivity circle plot +============= + +Script to show functionality to plot centrality indices along with +connectivity circle plot. + +.. GENERATED FROM PYTHON SOURCE LINES 9-44 + + + +.. image-sg:: /auto_examples/connectivity/images/sphx_glr_plot_circle_lines_and_blobs_001.png + :alt: Eigen vector centrality: Coh,alpha + :srcset: /auto_examples/connectivity/images/sphx_glr_plot_circle_lines_and_blobs_001.png + :class: sphx-glr-single-img + + +.. rst-class:: sphx-glr-script-out + + .. code-block:: none + + /Users/praveen.sripad/seafile/repolib/mne/jumeg/jumeg/connectivity/con_viz.py:1261: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored + c = ax.scatter(theta, radii, c=reordered_colors, s=degrees * degsize, + /Users/praveen.sripad/seafile/repolib/mne/jumeg/examples/connectivity/plot_circle_lines_and_blobs.py:43: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect. + fig.tight_layout() + + + + + + +| + +.. code-block:: default + + + import os.path as op + import numpy as np + import matplotlib.pyplot as plt + import mne + from mne_connectivity import degree + from jumeg import get_jumeg_path + from jumeg.connectivity import plot_degree_circle, plot_lines_and_blobs + + import bct + import yaml + + orig_labels_fname = op.join(get_jumeg_path(), 'data/desikan_label_names.yaml') + yaml_fname = op.join(get_jumeg_path(), 'data/desikan_aparc_cortex_based_grouping.yaml') + con_fname = op.join(get_jumeg_path(), 'data/sample,aparc-con.npy') + + replacer_dict_fname = op.join(get_jumeg_path(), 'data/replacer_dictionaries.yaml') + + with open(replacer_dict_fname, 'r') as f: + replacer_dict = yaml.safe_load(f)['replacer_dict_aparc'] + + # real connectivity + con = np.load(con_fname) + con = con[0, :, :, 2] + con[0, :, :, 2].T + degrees = degree(con, threshold_prop=0.2) + + eigenvec_centrality = bct.eigenvector_centrality_und(con) + + fig, ax = plot_lines_and_blobs(con, degrees, yaml_fname, + orig_labels_fname, replacer_dict=replacer_dict, + figsize=(8, 8), show_node_labels=False, + show_group_labels=True, n_lines=100, + out_fname=None, degsize=10) + ax.set_title('Eigen vector centrality: Coh,alpha') + fig.tight_layout() + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 0.107 seconds) + + +.. _sphx_glr_download_auto_examples_connectivity_plot_circle_lines_and_blobs.py: + +.. only:: html + + .. container:: sphx-glr-footer sphx-glr-footer-example + + + + + .. container:: sphx-glr-download sphx-glr-download-python + + :download:`Download Python source code: plot_circle_lines_and_blobs.py ` + + .. container:: sphx-glr-download sphx-glr-download-jupyter + + :download:`Download Jupyter notebook: plot_circle_lines_and_blobs.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/build/html/_sources/auto_examples/connectivity/plot_communities.rst.txt b/docs/build/html/_sources/auto_examples/connectivity/plot_communities.rst.txt new file mode 100644 index 00000000..77f1f0d8 --- /dev/null +++ b/docs/build/html/_sources/auto_examples/connectivity/plot_communities.rst.txt @@ -0,0 +1,187 @@ + +.. DO NOT EDIT. +.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. +.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: +.. "auto_examples/connectivity/plot_communities.py" +.. LINE NUMBERS ARE GIVEN BELOW. + +.. only:: html + + .. note:: + :class: sphx-glr-download-link-note + + :ref:`Go to the end ` + to download the full example code + +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_connectivity_plot_communities.py: + + +============= +Plot network communities +============= + +Plot Networkx Communities on a connectome plot. + +Author: Praveen Sripad + +.. GENERATED FROM PYTHON SOURCE LINES 12-80 + + + +.. image-sg:: /auto_examples/connectivity/images/sphx_glr_plot_communities_001.png + :alt: plot communities + :srcset: /auto_examples/connectivity/images/sphx_glr_plot_communities_001.png + :class: sphx-glr-single-img + + +.. rst-class:: sphx-glr-script-out + + .. code-block:: none + + Reading labels from parcellation... + read 35 labels from /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/subjects/fsaverage/label/lh.aparc.annot + read 34 labels from /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/subjects/fsaverage/label/rh.aparc.annot + bankssts-rh + caudalanteriorcingulate-rh + caudalmiddlefrontal-rh + entorhinal-lh + entorhinal-rh + fusiform-lh + inferiorparietal-lh + inferiortemporal-lh + insula-rh + isthmuscingulate-lh + lateraloccipital-lh + lateraloccipital-rh + lateralorbitofrontal-rh + middletemporal-lh + middletemporal-rh + paracentral-lh + caudalanteriorcingulate-lh + caudalmiddlefrontal-lh + cuneus-lh + frontalpole-lh + frontalpole-rh + inferiortemporal-rh + insula-lh + isthmuscingulate-rh + lateralorbitofrontal-lh + lingual-rh + paracentral-rh + bankssts-lh + cuneus-rh + fusiform-rh + inferiorparietal-rh + lingual-lh + medialorbitofrontal-lh + medialorbitofrontal-rh + + + + + + +| + +.. code-block:: default + + + import os.path as op + import numpy as np + import matplotlib.pyplot as plt + + import mne + from mne.datasets import sample + from jumeg.connectivity.con_utils import make_communities + from jumeg.connectivity import generate_random_connectivity_matrix + + from nilearn import plotting + + data_path = sample.data_path() + subjects_dir = op.join(data_path, 'subjects') + subject = 'fsaverage' + aparc = mne.read_labels_from_annot(subject, subjects_dir=subjects_dir, + parc='aparc') + + # make a random connectivity matrix + con = generate_random_connectivity_matrix(size=(34, 34), symmetric=True) + + top_nodes_list, n_communities = make_communities(con) + + # FIXME better colouring + # cmaps_list = ['Pastel1', 'Pastel2', 'Paired', 'Accent', + # 'Dark2', 'Set1', 'Set2', 'Set3', + # 'tab10', 'tab20', 'tab20b', 'tab20c'] + # color_list = plt.cm.Pastel1(np.linspace(0, 1, len(top_nodes_list))) + + color_list = ['red', 'orange', 'green', 'purple', 'navy', 'blue'] + cmaps_list = ['Reds', 'Oranges', 'Greens', 'Purples', 'PuBu', 'Blues'] + + fig = plt.figure(facecolor='w', edgecolor='w') + + for top_nodes, col, cmap in zip(top_nodes_list, color_list, cmaps_list): + + coords = [] + community_ = [aparc[tp] for tp in top_nodes] + + for lab in community_: + if lab.name == 'unknown-lh': + continue + print(lab.name) + # get the center of mass + com = lab.center_of_mass('fsaverage') + if lab.name.endswith('lh'): + # obtain mni coordinated to the vertex from left hemi + coords_ = mne.vertex_to_mni(com, hemis=0, subject=subject, + subjects_dir=subjects_dir) + else: + coords_ = mne.vertex_to_mni(com, hemis=1, subject=subject, + subjects_dir=subjects_dir) + coords.append(coords_) + + n_nodes = np.array(coords).shape[0] + # make a dummy connectivity matrix + # FIXME use the existing con matrix with indices chosen instead + con_ = np.ones((n_nodes, n_nodes)) / 2. + con_[np.diag_indices(n_nodes)] = 0. + con_[np.triu_indices(n_nodes, k=1)] = 0. + con_ += con_.T + + # plot the connectome on a glass brain background + plotting.plot_connectome(con_, coords, node_color=col, edge_cmap=cmap, + figure=fig, edge_vmin=0., edge_vmax=1.) + + plt.show() + # plt.savefig('fig_communities.png') + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 1.379 seconds) + + +.. _sphx_glr_download_auto_examples_connectivity_plot_communities.py: + +.. only:: html + + .. container:: sphx-glr-footer sphx-glr-footer-example + + + + + .. container:: sphx-glr-download sphx-glr-download-python + + :download:`Download Python source code: plot_communities.py ` + + .. container:: sphx-glr-download sphx-glr-download-jupyter + + :download:`Download Jupyter notebook: plot_communities.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/build/html/_sources/auto_examples/connectivity/plot_compute_epochs_surrogates.rst.txt b/docs/build/html/_sources/auto_examples/connectivity/plot_compute_epochs_surrogates.rst.txt new file mode 100644 index 00000000..8c2674f8 --- /dev/null +++ b/docs/build/html/_sources/auto_examples/connectivity/plot_compute_epochs_surrogates.rst.txt @@ -0,0 +1,153 @@ + +.. DO NOT EDIT. +.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. +.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: +.. "auto_examples/connectivity/plot_compute_epochs_surrogates.py" +.. LINE NUMBERS ARE GIVEN BELOW. + +.. only:: html + + .. note:: + :class: sphx-glr-download-link-note + + :ref:`Go to the end ` + to download the full example code + +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_connectivity_plot_compute_epochs_surrogates.py: + + +============= +Surrogate Connectivity Generation +============= + +Example to show surrogate generation on Epochs using the jumeg Surrogates +module. + +.. GENERATED FROM PYTHON SOURCE LINES 11-60 + + + +.. image-sg:: /auto_examples/connectivity/images/sphx_glr_plot_compute_epochs_surrogates_001.png + :alt: Evoked (102 channels), Surrogate Evoked (102 channels) + :srcset: /auto_examples/connectivity/images/sphx_glr_plot_compute_epochs_surrogates_001.png + :class: sphx-glr-single-img + + +.. rst-class:: sphx-glr-script-out + + .. code-block:: none + + Opening raw data file /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/MEG/sample/sample_audvis_filt-0-40_raw.fif... + Read a total of 4 projection items: + PCA-v1 (1 x 102) idle + PCA-v2 (1 x 102) idle + PCA-v3 (1 x 102) idle + Average EEG reference (1 x 60) idle + Range : 6450 ... 48149 = 42.956 ... 320.665 secs + Ready. + Not setting metadata + 72 matching events found + Setting baseline interval to [-0.19979521315838786, 0.0] s + Applying baseline correction (mode: mean) + Created an SSP operator (subspace dimension = 3) + 4 projection items activated + Loading data for 72 events and 106 original time points ... + Rejecting epoch based on MAG : ['MEG 1711'] + 1 bad epochs dropped + WARNING: Currently surrogates on Epochs only returns a generator. + computing surrogate 0 + NOTE: pick_channels() is a legacy function. New code should use inst.pick(...). + Removing projector + NOTE: pick_channels() is a legacy function. New code should use inst.pick(...). + Removing projector + + + + + + +| + +.. code-block:: default + + + import os.path as op + import numpy as np + import matplotlib.pyplot as pl + from mne.datasets import sample + import mne + + from jumeg.jumeg_surrogates import Surrogates, check_power_spectrum + + data_path = sample.data_path() + subjects_dir = op.join(data_path, 'subjects') + + fname_raw = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw.fif') + fname_event = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw-eve.fif') + + epochs_testing = False + + raw = mne.io.read_raw_fif(fname_raw) + events = mne.read_events(fname_event) + + # add a bad channel + raw.info['bads'] += ['MEG 2443'] + + # pick MEG channels + picks = mne.pick_types(raw.info, meg='mag', eeg=False, stim=False, eog=False, + exclude='bads') + + # Define epochs for left-auditory condition + event_id, tmin, tmax = 1, -0.2, 0.5 + epochs = mne.Epochs(raw, events, event_id, tmin, tmax, picks=picks, + baseline=(None, 0), reject=dict(mag=4e-12)) + + # initialize the Surrogates object + surr_epochs = Surrogates(epochs) + + n_surr = 10 # number of surrogates + mode = 'randomize_phase' + mysurr = surr_epochs.compute_surrogates(n_surr=n_surr, + mode=mode, return_generator=False) + + # get one epochs for plotting + # for epochs, a generator is always returned + first_surr_epoch = next(mysurr) + + # visualize surrogates + fig, (ax1, ax2) = pl.subplots(2, 1) + epochs.average().plot(axes=ax1, show=False, titles='Evoked') + first_surr_epoch.average().plot(axes=ax2, show=False, titles='Surrogate Evoked') + pl.show() + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 0.538 seconds) + + +.. _sphx_glr_download_auto_examples_connectivity_plot_compute_epochs_surrogates.py: + +.. only:: html + + .. container:: sphx-glr-footer sphx-glr-footer-example + + + + + .. container:: sphx-glr-download sphx-glr-download-python + + :download:`Download Python source code: plot_compute_epochs_surrogates.py ` + + .. container:: sphx-glr-download sphx-glr-download-jupyter + + :download:`Download Jupyter notebook: plot_compute_epochs_surrogates.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/build/html/_sources/auto_examples/connectivity/plot_compute_label_distances.rst.txt b/docs/build/html/_sources/auto_examples/connectivity/plot_compute_label_distances.rst.txt new file mode 100644 index 00000000..72f51735 --- /dev/null +++ b/docs/build/html/_sources/auto_examples/connectivity/plot_compute_label_distances.rst.txt @@ -0,0 +1,123 @@ + +.. DO NOT EDIT. +.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. +.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: +.. "auto_examples/connectivity/plot_compute_label_distances.py" +.. LINE NUMBERS ARE GIVEN BELOW. + +.. only:: html + + .. note:: + :class: sphx-glr-download-link-note + + :ref:`Go to the end ` + to download the full example code + +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_connectivity_plot_compute_label_distances.py: + + +============= +Compute Label Distances +============= + +Script show how to compute and visualize distance between label center of +masses for a given subject. + +Author: Praveen Sripad + +.. GENERATED FROM PYTHON SOURCE LINES 13-49 + + + +.. image-sg:: /auto_examples/connectivity/images/sphx_glr_plot_compute_label_distances_001.png + :alt: plot compute label distances + :srcset: /auto_examples/connectivity/images/sphx_glr_plot_compute_label_distances_001.png + :class: sphx-glr-single-img + + +.. rst-class:: sphx-glr-script-out + + .. code-block:: none + + Reading labels from parcellation... + read 226 labels from /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/subjects/sample/label/lh.aparc_sub.annot + read 224 labels from /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/subjects/sample/label/rh.aparc_sub.annot + Max distance between ROIs 169.0 + + + + + + +| + +.. code-block:: default + + + import os.path as op + from jumeg.connectivity import get_label_distances + from surfer import Brain + from nilearn import plotting + from mne.datasets import sample + + data_path = sample.data_path() + subjects_dir = op.join(data_path, 'subjects') + subject = 'sample' + parc = 'aparc_sub' + + # compute the distances between COM's of the labels + rounded_coms, coords, coms_lh, coms_rh = get_label_distances(subject, + subjects_dir, + parc=parc) + # np.save('%s_distances.npy' % subject, rounded_com) + + # get maximum distance between ROIs + print('Max distance between ROIs', rounded_coms.ravel().max()) + + # do plotting using PySurfer + brain = Brain(subject, hemi='both', surf='inflated', subjects_dir=subjects_dir) + brain.add_foci(coms_lh, coords_as_verts=True, hemi='lh') + brain.add_foci(coms_rh, coords_as_verts=True, hemi='rh') + brain.save_montage('%s_%s_coms.png' % (subject, parc), + order=['lat', 'ven', 'med'], + orientation='h', border_size=15, colorbar='auto', + row=-1, col=-1) + brain.close() + + # show the label ROIs using Nilearn plotting + fig = plotting.plot_connectome(rounded_coms, coords, + edge_threshold='99%', node_color='cornflowerblue', + title='%s - label distances' % parc) + fig.savefig('fig_%s_label_distances.png' % parc) + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 6.339 seconds) + + +.. _sphx_glr_download_auto_examples_connectivity_plot_compute_label_distances.py: + +.. only:: html + + .. container:: sphx-glr-footer sphx-glr-footer-example + + + + + .. container:: sphx-glr-download sphx-glr-download-python + + :download:`Download Python source code: plot_compute_label_distances.py ` + + .. container:: sphx-glr-download sphx-glr-download-jupyter + + :download:`Download Jupyter notebook: plot_compute_label_distances.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/build/html/_sources/auto_examples/connectivity/plot_connectivity_between_standard_rsns.rst.txt b/docs/build/html/_sources/auto_examples/connectivity/plot_connectivity_between_standard_rsns.rst.txt new file mode 100644 index 00000000..0b13bc95 --- /dev/null +++ b/docs/build/html/_sources/auto_examples/connectivity/plot_connectivity_between_standard_rsns.rst.txt @@ -0,0 +1,467 @@ + +.. DO NOT EDIT. +.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. +.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: +.. "auto_examples/connectivity/plot_connectivity_between_standard_rsns.py" +.. LINE NUMBERS ARE GIVEN BELOW. + +.. only:: html + + .. note:: + :class: sphx-glr-download-link-note + + :ref:`Go to the end ` + to download the full example code + +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_connectivity_plot_connectivity_between_standard_rsns.py: + + +Modified MNE-Python example script to show connectivity between standard +resting state network labels obtained from [1]. + +[1] P. Garcés, M. C. Martín-Buro, and F. Maestú, +“Quantifying the Test-Retest Reliability of Magnetoencephalography +Resting-State Functional Connectivity,” Brain Connect., vol. 6, no. 6, pp. +448–460, 2016. + +Author: Praveen sripad + +.. GENERATED FROM PYTHON SOURCE LINES 12-124 + + + +.. image-sg:: /auto_examples/connectivity/images/sphx_glr_plot_connectivity_between_standard_rsns_001.png + :alt: Connectivity between standard RSNs + :srcset: /auto_examples/connectivity/images/sphx_glr_plot_connectivity_between_standard_rsns_001.png + :class: sphx-glr-single-img + + +.. rst-class:: sphx-glr-script-out + + .. code-block:: none + + Reading inverse operator decomposition from /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/MEG/sample/sample_audvis-meg-oct-6-meg-inv.fif... + Reading inverse operator info... + [done] + Reading inverse operator decomposition... + [done] + 305 x 305 full covariance (kind = 1) found. + Read a total of 4 projection items: + PCA-v1 (1 x 102) active + PCA-v2 (1 x 102) active + PCA-v3 (1 x 102) active + Average EEG reference (1 x 60) active + Noise covariance matrix read. + 22494 x 22494 diagonal covariance (kind = 2) found. + Source covariance matrix read. + 22494 x 22494 diagonal covariance (kind = 6) found. + Orientation priors read. + 22494 x 22494 diagonal covariance (kind = 5) found. + Depth priors read. + Did not find the desired covariance matrix (kind = 3) + Reading a source space... + Computing patch statistics... + Patch information added... + Distance information added... + [done] + Reading a source space... + Computing patch statistics... + Patch information added... + Distance information added... + [done] + 2 source spaces read + Read a total of 4 projection items: + PCA-v1 (1 x 102) active + PCA-v2 (1 x 102) active + PCA-v3 (1 x 102) active + Average EEG reference (1 x 60) active + Source spaces transformed to the inverse solution coordinate frame + Opening raw data file /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/MEG/sample/sample_audvis_filt-0-40_raw.fif... + Read a total of 4 projection items: + PCA-v1 (1 x 102) idle + PCA-v2 (1 x 102) idle + PCA-v3 (1 x 102) idle + Average EEG reference (1 x 60) idle + Range : 6450 ... 48149 = 42.956 ... 320.665 secs + Ready. + Not setting metadata + 72 matching events found + Setting baseline interval to [-0.19979521315838786, 0.0] s + Applying baseline correction (mode: mean) + Created an SSP operator (subspace dimension = 3) + 4 projection items activated + Loading data for 72 events and 106 original time points ... + Rejecting epoch based on EOG : ['EOG 061'] + Rejecting epoch based on EOG : ['EOG 061'] + Rejecting epoch based on EOG : ['EOG 061'] + Rejecting epoch based on EOG : ['EOG 061'] + Rejecting epoch based on EOG : ['EOG 061'] + Rejecting epoch based on MAG : ['MEG 1711'] + Rejecting epoch based on EOG : ['EOG 061'] + Rejecting epoch based on EOG : ['EOG 061'] + Rejecting epoch based on EOG : ['EOG 061'] + Rejecting epoch based on EOG : ['EOG 061'] + Rejecting epoch based on EOG : ['EOG 061'] + Rejecting epoch based on EOG : ['EOG 061'] + Rejecting epoch based on EOG : ['EOG 061'] + Rejecting epoch based on EOG : ['EOG 061'] + Rejecting epoch based on EOG : ['EOG 061'] + Rejecting epoch based on EOG : ['EOG 061'] + Rejecting epoch based on EOG : ['EOG 061'] + 17 bad epochs dropped + Reading labels from parcellation... + read 11 labels from /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/subjects/sample/label/lh.standard_garces_2016.annot + read 8 labels from /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/subjects/sample/label/rh.standard_garces_2016.annot + Connectivity computation... + Preparing the inverse operator for use... + Scaled noise and source covariance from nave = 1 to nave = 1 + Created the regularized inverter + Created an SSP operator (subspace dimension = 3) + Created the whitener using a noise covariance matrix with rank 302 (3 small eigenvalues omitted) + Picked 305 channels from the data + Computing inverse... + Eigenleads need to be weighted ... + Processing epoch : 1 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 2 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 3 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 4 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + only using indices for lower-triangular matrix + computing connectivity for 136 connections + using t=0.000s..0.699s for estimation (106 points) + frequencies: 8.5Hz..12.7Hz (4 points) + connectivity scores will be averaged for each band + Using multitaper spectrum estimation with 7 DPSS windows + the following metrics will be computed: Coherence, WPLI + computing connectivity for epochs 1..4 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.7s remaining: 0.7s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.7s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.7s finished + Processing epoch : 5 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 6 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 7 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 8 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + computing connectivity for epochs 5..8 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + Processing epoch : 9 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 10 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 11 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 12 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + computing connectivity for epochs 9..12 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + Processing epoch : 13 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 14 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 15 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 16 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + computing connectivity for epochs 13..16 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + Processing epoch : 17 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 18 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 19 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 20 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + computing connectivity for epochs 17..20 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + Processing epoch : 21 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 22 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 23 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 24 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + computing connectivity for epochs 21..24 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + Processing epoch : 25 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 26 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 27 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 28 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + computing connectivity for epochs 25..28 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + Processing epoch : 29 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 30 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 31 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 32 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + computing connectivity for epochs 29..32 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + Processing epoch : 33 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 34 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 35 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 36 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + computing connectivity for epochs 33..36 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + Processing epoch : 37 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 38 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 39 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 40 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + computing connectivity for epochs 37..40 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + Processing epoch : 41 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 42 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 43 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 44 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + computing connectivity for epochs 41..44 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + Processing epoch : 45 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 46 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 47 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 48 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + computing connectivity for epochs 45..48 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + Processing epoch : 49 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 50 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 51 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 52 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + computing connectivity for epochs 49..52 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + Processing epoch : 53 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 54 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + Processing epoch : 55 / 55 + Extracting time courses for 17 labels (mode: mean_flip) + [done] + computing connectivity for epochs 53..55 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 3 out of 3 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 3 out of 3 | elapsed: 0.0s finished + assembling connectivity matrix + [Connectivity computation done] + + (
, ) + + + + + +| + +.. code-block:: default + + + import os.path as op + + import numpy as np + import matplotlib.pyplot as plt + + import mne + from mne.datasets import sample + from mne.minimum_norm import apply_inverse_epochs, read_inverse_operator + from mne.viz import circular_layout + + from mne_connectivity import spectral_connectivity_epochs + from mne_connectivity.viz import plot_connectivity_circle + + data_path = sample.data_path() + subjects_dir = op.join(data_path, 'subjects') + fname_inv = op.join(data_path, 'MEG/sample/sample_audvis-meg-oct-6-meg-inv.fif') + fname_raw = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw.fif') + fname_event = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw-eve.fif') + + # Load data + inverse_operator = read_inverse_operator(fname_inv) + raw = mne.io.read_raw_fif(fname_raw) + events = mne.read_events(fname_event) + + # Add a bad channel + raw.info['bads'] += ['MEG 2443'] + + # Pick MEG channels + picks = mne.pick_types(raw.info, meg=True, eeg=False, stim=False, eog=True, + exclude='bads') + + # Define epochs for left-auditory condition + event_id, tmin, tmax = 1, -0.2, 0.5 + epochs = mne.Epochs(raw, events, event_id, tmin, tmax, picks=picks, + baseline=(None, 0), reject=dict(mag=4e-12, grad=4000e-13, + eog=150e-6)) + if not epochs.preload: + epochs.load_data() + + # Compute inverse solution and for each epoch. By using "return_generator=True" + # stcs will be a generator object instead of a list. + snr = 1.0 # use lower SNR for single epochs + lambda2 = 1.0 / snr ** 2 + method = "MNE" # use dSPM method (could also be MNE or sLORETA) + stcs = apply_inverse_epochs(epochs, inverse_operator, lambda2, method, + pick_ori="normal", return_generator=True) + + # Get labels for FreeSurfer 'aparc' cortical parcellation with 34 labels/hemi + labels = mne.read_labels_from_annot('sample', parc='standard_garces_2016', + subjects_dir=subjects_dir) + labels = [lab for lab in labels if not lab.name.startswith('unknown')] + label_colors = [label.color for label in labels] + + # Average the source estimates within each label using sign-flips to reduce + # signal cancellations, also here we return a generator + src = inverse_operator['src'] + label_ts = mne.extract_label_time_course(stcs, labels, src, mode='mean_flip', + return_generator=True) + + fmin = 8. + fmax = 13. + sfreq = raw.info['sfreq'] # the sampling frequency + con_methods = ['coh', 'wpli'] + con = spectral_connectivity_epochs( + label_ts, method=con_methods, mode='multitaper', sfreq=sfreq, fmin=fmin, + fmax=fmax, faverage=True, mt_adaptive=True, n_jobs=4) + + # con is a 3D array, get the connectivity for the first (and only) freq. band + # for each method + con_res = dict() + for method, c in zip(con_methods, con): + con_res[method] = c.get_data(output='dense')[:, :, 0] + + # Now, we visualize the connectivity using a circular graph layout + # First, we reorder the labels based on their location in the left hemi + label_names = [label.name for label in labels] + + from jumeg import get_jumeg_path + yaml_fname = get_jumeg_path() + '/data/standard_garces_rsns_grouping.yaml' + + import yaml + with open(yaml_fname, 'r') as f: + xlabels = yaml.safe_load(f) + + # the yaml file has been hand curated to follow the same order as label_names + # if not the node order has to be changed appropriately + node_order = list() + node_order.extend(label_names) + + group_bound = [len(list(key.values())[0]) for key in xlabels] + group_bound = [0] + group_bound + group_boundaries = [sum(group_bound[:i+1]) for i in range(len(group_bound))] + group_boundaries.pop() + + rsn_colors = ['m', 'b', 'y', 'c', 'r', 'g', 'w'] + + group_bound.pop(0) + label_colors = [] + for ind, rep in enumerate(group_bound): + label_colors += [rsn_colors[ind]] * rep + assert len(label_colors) == len(node_order), 'Number of colours do not match' + + from mne.viz.circle import circular_layout + node_angles = circular_layout(label_names, label_names, start_pos=90, + group_boundaries=group_boundaries) + + # Plot the graph using node colors from the FreeSurfer parcellation. + plot_connectivity_circle(con_res['wpli'], label_names, n_lines=300, + node_angles=node_angles, node_colors=label_colors, + title='Connectivity between standard RSNs') + # plt.savefig('circle.png', facecolor='black') + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 2.703 seconds) + + +.. _sphx_glr_download_auto_examples_connectivity_plot_connectivity_between_standard_rsns.py: + +.. only:: html + + .. container:: sphx-glr-footer sphx-glr-footer-example + + + + + .. container:: sphx-glr-download sphx-glr-download-python + + :download:`Download Python source code: plot_connectivity_between_standard_rsns.py ` + + .. container:: sphx-glr-download sphx-glr-download-jupyter + + :download:`Download Jupyter notebook: plot_connectivity_between_standard_rsns.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/build/html/_sources/auto_examples/connectivity/plot_custom_grouped_connectivity_circle.rst.txt b/docs/build/html/_sources/auto_examples/connectivity/plot_custom_grouped_connectivity_circle.rst.txt new file mode 100644 index 00000000..d647d5e2 --- /dev/null +++ b/docs/build/html/_sources/auto_examples/connectivity/plot_custom_grouped_connectivity_circle.rst.txt @@ -0,0 +1,139 @@ + +.. DO NOT EDIT. +.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. +.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: +.. "auto_examples/connectivity/plot_custom_grouped_connectivity_circle.py" +.. LINE NUMBERS ARE GIVEN BELOW. + +.. only:: html + + .. note:: + :class: sphx-glr-download-link-note + + :ref:`Go to the end ` + to download the full example code + +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_connectivity_plot_custom_grouped_connectivity_circle.py: + + +============= +Plot Custom Grouped Circle +============= + +Example how to create a custom label groups and plot grouped connectivity +circle with these labels. + +Author: Praveen Sripad + Christian Kiefer + +.. GENERATED FROM PYTHON SOURCE LINES 14-68 + + + +.. image-sg:: /auto_examples/connectivity/images/sphx_glr_plot_custom_grouped_connectivity_circle_001.png + :alt: plot custom grouped connectivity circle + :srcset: /auto_examples/connectivity/images/sphx_glr_plot_custom_grouped_connectivity_circle_001.png + :class: sphx-glr-single-img + + +.. rst-class:: sphx-glr-script-out + + .. code-block:: none + + +
+ + + + + +| + +.. code-block:: default + + + import os.path as op + import matplotlib.pyplot as plt + from jumeg import get_jumeg_path + from jumeg.connectivity import (plot_grouped_connectivity_circle, + generate_random_connectivity_matrix) + + import yaml + + labels_fname = op.join(get_jumeg_path(), 'data/desikan_label_names.yaml') + replacer_dict_fname = op.join(get_jumeg_path(), 'data/replacer_dictionaries.yaml') + + with open(labels_fname, 'r') as f: + label_names = yaml.safe_load(f)['label_names'] + + with open(replacer_dict_fname, 'r') as f: + replacer_dict = yaml.safe_load(f)['replacer_dict_aparc'] + + # make a random matrix with 68 nodes + con = generate_random_connectivity_matrix(size=(68, 68), symmetric=True) + + # make groups based on lobes + occipital = ['lateraloccipital', 'lingual', 'cuneus', 'pericalcarine'] + parietal = ['superiorparietal', 'inferiorparietal', 'precuneus', + 'postcentral', 'supramarginal'] + temporal = ['bankssts', 'temporalpole', 'superiortemporal', 'middletemporal', + 'transversetemporal', 'inferiortemporal', 'fusiform', + 'entorhinal', 'parahippocampal'] + insula = ['insula'] + cingulate = ['rostralanteriorcingulate', 'caudalanteriorcingulate', + 'posteriorcingulate', 'isthmuscingulate'] + frontal = ['superiorfrontal', 'rostralmiddlefrontal', 'caudalmiddlefrontal', + 'parsopercularis', 'parsorbitalis', 'parstriangularis', + 'lateralorbitofrontal', 'medialorbitofrontal', 'precentral', + 'paracentral', 'frontalpole'] + + # we need a list of dictionaries, one dict for each group to denote grouping + label_groups = [{'occipital': occipital}, {'parietal': parietal}, + {'temporal': temporal}, {'insula': insula}, + {'cingulate': cingulate}, + {'frontal': frontal}] + + n_colors = len(label_groups) + cmap = plt.get_cmap('Pastel1') + cortex_colors = cmap.colors[:n_colors] + cmap.colors[:n_colors][::-1] + + # plot simple connectivity circle with cortex based grouping and colors + plot_grouped_connectivity_circle(label_groups, con, label_names, + labels_mode='replace', + replacer_dict=replacer_dict, + cortex_colors=cortex_colors, vmin=0., vmax=1., + out_fname='fig_grouped_con_circle_cortex.png', + colorbar_pos=(0.1, 0.1), n_lines=50, colorbar=True, + colormap='viridis') + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 0.995 seconds) + + +.. _sphx_glr_download_auto_examples_connectivity_plot_custom_grouped_connectivity_circle.py: + +.. only:: html + + .. container:: sphx-glr-footer sphx-glr-footer-example + + + + + .. container:: sphx-glr-download sphx-glr-download-python + + :download:`Download Python source code: plot_custom_grouped_connectivity_circle.py ` + + .. container:: sphx-glr-download sphx-glr-download-jupyter + + :download:`Download Jupyter notebook: plot_custom_grouped_connectivity_circle.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/build/html/_sources/auto_examples/connectivity/plot_degree_circle.rst.txt b/docs/build/html/_sources/auto_examples/connectivity/plot_degree_circle.rst.txt new file mode 100644 index 00000000..36eba9ac --- /dev/null +++ b/docs/build/html/_sources/auto_examples/connectivity/plot_degree_circle.rst.txt @@ -0,0 +1,94 @@ + +.. DO NOT EDIT. +.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. +.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: +.. "auto_examples/connectivity/plot_degree_circle.py" +.. LINE NUMBERS ARE GIVEN BELOW. + +.. only:: html + + .. note:: + :class: sphx-glr-download-link-note + + :ref:`Go to the end ` + to download the full example code + +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_connectivity_plot_degree_circle.py: + + +============= +Plot degree circle +============= + +Plot degree values for a given set of nodes in a simple circle plot. + +.. GENERATED FROM PYTHON SOURCE LINES 10-33 + + + +.. image-sg:: /auto_examples/connectivity/images/sphx_glr_plot_degree_circle_001.png + :alt: plot degree circle + :srcset: /auto_examples/connectivity/images/sphx_glr_plot_degree_circle_001.png + :class: sphx-glr-single-img + + + + + +.. code-block:: default + + + import os.path as op + import numpy as np + import matplotlib.pyplot as plt + + import mne + from mne_connectivity import degree + from jumeg import get_jumeg_path + from jumeg.connectivity import plot_degree_circle + + import bct + + orig_labels_fname = op.join(get_jumeg_path(), 'data/desikan_label_names.yaml') + yaml_fname = op.join(get_jumeg_path(), 'data/desikan_aparc_cortex_based_grouping.yaml') + con_fname = op.join(get_jumeg_path(), 'data/sample,aparc-con.npy') + + con = np.load(con_fname) + con_ = con[0, :, :, 2] + con[0, :, :, 2].T + + # compute the degree + degrees = degree(con_, threshold_prop=0.2) + + fig, ax = plot_degree_circle(degrees, yaml_fname, orig_labels_fname) + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 3.058 seconds) + + +.. _sphx_glr_download_auto_examples_connectivity_plot_degree_circle.py: + +.. only:: html + + .. container:: sphx-glr-footer sphx-glr-footer-example + + + + + .. container:: sphx-glr-download sphx-glr-download-python + + :download:`Download Python source code: plot_degree_circle.py ` + + .. container:: sphx-glr-download sphx-glr-download-jupyter + + :download:`Download Jupyter notebook: plot_degree_circle.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/build/html/_sources/auto_examples/connectivity/plot_destriux_atlas_based_connectivity.rst.txt b/docs/build/html/_sources/auto_examples/connectivity/plot_destriux_atlas_based_connectivity.rst.txt new file mode 100644 index 00000000..aaf7b584 --- /dev/null +++ b/docs/build/html/_sources/auto_examples/connectivity/plot_destriux_atlas_based_connectivity.rst.txt @@ -0,0 +1,107 @@ + +.. DO NOT EDIT. +.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. +.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: +.. "auto_examples/connectivity/plot_destriux_atlas_based_connectivity.py" +.. LINE NUMBERS ARE GIVEN BELOW. + +.. only:: html + + .. note:: + :class: sphx-glr-download-link-note + + :ref:`Go to the end ` + to download the full example code + +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_connectivity_plot_destriux_atlas_based_connectivity.py: + + +============= +Plot Destriux Atlas +============= + +Read grouped aparc labels from yaml file. + +Plot grouped connectivity circle with these grouped labels +for the Destriux atlas. + +.. GENERATED FROM PYTHON SOURCE LINES 13-36 + + + +.. image-sg:: /auto_examples/connectivity/images/sphx_glr_plot_destriux_atlas_based_connectivity_001.png + :alt: plot destriux atlas based connectivity + :srcset: /auto_examples/connectivity/images/sphx_glr_plot_destriux_atlas_based_connectivity_001.png + :class: sphx-glr-single-img + + +.. rst-class:: sphx-glr-script-out + + .. code-block:: none + + +
+ + + + + +| + +.. code-block:: default + + + import os.path as op + from jumeg import get_jumeg_path + from jumeg.connectivity import (plot_grouped_connectivity_circle, + generate_random_connectivity_matrix) + import yaml + + grouping_yaml_fname = op.join(get_jumeg_path(), 'data/destriux_aparc_cortex_based_grouping.yaml') + label_names_yaml_fname = op.join(get_jumeg_path(), 'data/destriux_label_names.yaml') + + with open(label_names_yaml_fname, 'r') as f: + label_names = yaml.safe_load(f)['label_names'] + + # make a random matrix with 148 nodes + con = generate_random_connectivity_matrix(size=(148, 148), symmetric=True) + con[con < 0.5] = 0. + + # plot grouped connnectivity + plot_grouped_connectivity_circle(grouping_yaml_fname, con, label_names, + labels_mode=None, colorbar_pos=(0.1, 0.1), + replacer_dict=None, + out_fname='fig_destriux_circle.png', + n_lines=50, colorbar=True) + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 1.909 seconds) + + +.. _sphx_glr_download_auto_examples_connectivity_plot_destriux_atlas_based_connectivity.py: + +.. only:: html + + .. container:: sphx-glr-footer sphx-glr-footer-example + + + + + .. container:: sphx-glr-download sphx-glr-download-python + + :download:`Download Python source code: plot_destriux_atlas_based_connectivity.py ` + + .. container:: sphx-glr-download sphx-glr-download-jupyter + + :download:`Download Jupyter notebook: plot_destriux_atlas_based_connectivity.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/build/html/_sources/auto_examples/connectivity/plot_generate_surrogate_connectivity.rst.txt b/docs/build/html/_sources/auto_examples/connectivity/plot_generate_surrogate_connectivity.rst.txt new file mode 100644 index 00000000..4463ac32 --- /dev/null +++ b/docs/build/html/_sources/auto_examples/connectivity/plot_generate_surrogate_connectivity.rst.txt @@ -0,0 +1,992 @@ + +.. DO NOT EDIT. +.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. +.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: +.. "auto_examples/connectivity/plot_generate_surrogate_connectivity.py" +.. LINE NUMBERS ARE GIVEN BELOW. + +.. only:: html + + .. note:: + :class: sphx-glr-download-link-note + + :ref:`Go to the end ` + to download the full example code + +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_connectivity_plot_generate_surrogate_connectivity.py: + + +Surrogate computation + +.. GENERATED FROM PYTHON SOURCE LINES 5-120 + + + + +.. rst-class:: sphx-glr-script-out + + .. code-block:: none + + Opening raw data file /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/MEG/sample/sample_audvis_filt-0-40_raw.fif... + Read a total of 4 projection items: + PCA-v1 (1 x 102) idle + PCA-v2 (1 x 102) idle + PCA-v3 (1 x 102) idle + Average EEG reference (1 x 60) idle + Range : 6450 ... 48149 = 42.956 ... 320.665 secs + Ready. + Reading inverse operator decomposition from /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/MEG/sample/sample_audvis-meg-oct-6-meg-inv.fif... + Reading inverse operator info... + [done] + Reading inverse operator decomposition... + [done] + 305 x 305 full covariance (kind = 1) found. + Read a total of 4 projection items: + PCA-v1 (1 x 102) active + PCA-v2 (1 x 102) active + PCA-v3 (1 x 102) active + Average EEG reference (1 x 60) active + Noise covariance matrix read. + 22494 x 22494 diagonal covariance (kind = 2) found. + Source covariance matrix read. + 22494 x 22494 diagonal covariance (kind = 6) found. + Orientation priors read. + 22494 x 22494 diagonal covariance (kind = 5) found. + Depth priors read. + Did not find the desired covariance matrix (kind = 3) + Reading a source space... + Computing patch statistics... + Patch information added... + Distance information added... + [done] + Reading a source space... + Computing patch statistics... + Patch information added... + Distance information added... + [done] + 2 source spaces read + Read a total of 4 projection items: + PCA-v1 (1 x 102) active + PCA-v2 (1 x 102) active + PCA-v3 (1 x 102) active + Average EEG reference (1 x 60) active + Source spaces transformed to the inverse solution coordinate frame + Not setting metadata + 72 matching events found + Setting baseline interval to [-0.19979521315838786, 0.0] s + Applying baseline correction (mode: mean) + Created an SSP operator (subspace dimension = 3) + 4 projection items activated + Preparing the inverse operator for use... + Scaled noise and source covariance from nave = 1 to nave = 1 + Created the regularized inverter + Created an SSP operator (subspace dimension = 3) + Created the whitener using a noise covariance matrix with rank 302 (3 small eigenvalues omitted) + Computing noise-normalization factors (dSPM)... + [done] + Picked 305 channels from the data + Computing inverse... + Eigenleads need to be weighted ... + Processing epoch : 1 / 72 (at most) + Processing epoch : 2 / 72 (at most) + Processing epoch : 3 / 72 (at most) + Processing epoch : 4 / 72 (at most) + Processing epoch : 5 / 72 (at most) + Processing epoch : 6 / 72 (at most) + Processing epoch : 7 / 72 (at most) + Processing epoch : 8 / 72 (at most) + Processing epoch : 9 / 72 (at most) + Processing epoch : 10 / 72 (at most) + Processing epoch : 11 / 72 (at most) + Processing epoch : 12 / 72 (at most) + Processing epoch : 13 / 72 (at most) + Processing epoch : 14 / 72 (at most) + Processing epoch : 15 / 72 (at most) + Processing epoch : 16 / 72 (at most) + Processing epoch : 17 / 72 (at most) + Processing epoch : 18 / 72 (at most) + Processing epoch : 19 / 72 (at most) + Processing epoch : 20 / 72 (at most) + Processing epoch : 21 / 72 (at most) + Processing epoch : 22 / 72 (at most) + Processing epoch : 23 / 72 (at most) + Processing epoch : 24 / 72 (at most) + Processing epoch : 25 / 72 (at most) + Processing epoch : 26 / 72 (at most) + Processing epoch : 27 / 72 (at most) + Processing epoch : 28 / 72 (at most) + Rejecting epoch based on MAG : ['MEG 1711'] + Processing epoch : 29 / 72 (at most) + Processing epoch : 30 / 72 (at most) + Processing epoch : 31 / 72 (at most) + Processing epoch : 32 / 72 (at most) + Processing epoch : 33 / 72 (at most) + Processing epoch : 34 / 72 (at most) + Processing epoch : 35 / 72 (at most) + Processing epoch : 36 / 72 (at most) + Processing epoch : 37 / 72 (at most) + Processing epoch : 38 / 72 (at most) + Processing epoch : 39 / 72 (at most) + Processing epoch : 40 / 72 (at most) + Processing epoch : 41 / 72 (at most) + Processing epoch : 42 / 72 (at most) + Processing epoch : 43 / 72 (at most) + Processing epoch : 44 / 72 (at most) + Processing epoch : 45 / 72 (at most) + Processing epoch : 46 / 72 (at most) + Processing epoch : 47 / 72 (at most) + Processing epoch : 48 / 72 (at most) + Processing epoch : 49 / 72 (at most) + Processing epoch : 50 / 72 (at most) + Processing epoch : 51 / 72 (at most) + Processing epoch : 52 / 72 (at most) + Processing epoch : 53 / 72 (at most) + Processing epoch : 54 / 72 (at most) + Processing epoch : 55 / 72 (at most) + Processing epoch : 56 / 72 (at most) + Processing epoch : 57 / 72 (at most) + Processing epoch : 58 / 72 (at most) + Processing epoch : 59 / 72 (at most) + Processing epoch : 60 / 72 (at most) + Processing epoch : 61 / 72 (at most) + Processing epoch : 62 / 72 (at most) + Processing epoch : 63 / 72 (at most) + Processing epoch : 64 / 72 (at most) + Processing epoch : 65 / 72 (at most) + Processing epoch : 66 / 72 (at most) + Processing epoch : 67 / 72 (at most) + Processing epoch : 68 / 72 (at most) + Processing epoch : 69 / 72 (at most) + Processing epoch : 70 / 72 (at most) + Processing epoch : 71 / 72 (at most) + [done] + Reading labels from parcellation... + read 34 labels from /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/subjects/sample/label/lh.aparc.annot + read 34 labels from /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/subjects/sample/label/rh.aparc.annot + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Extracting time courses for 68 labels (mode: mean_flip) + Connectivity computation... + only using indices for lower-triangular matrix + computing connectivity for 2278 connections + using t=0.000s..0.699s for estimation (106 points) + frequencies: 8.5Hz..12.7Hz (4 points) + connectivity scores will be averaged for each band + using FFT with a Hanning window to estimate spectra + the following metrics will be computed: Coherence, PLV, WPLI + computing connectivity for epochs 1..4 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 5..8 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 9..12 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 13..16 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 17..20 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 21..24 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 25..28 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 29..32 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 33..36 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 37..40 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 41..44 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 45..48 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 49..52 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 53..56 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 57..60 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 61..64 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 65..68 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 69..71 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 3 out of 3 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 3 out of 3 | elapsed: 0.0s finished + assembling connectivity matrix + [Connectivity computation done] + computing surrogate 0 + Connectivity computation... + only using indices for lower-triangular matrix + computing connectivity for 2278 connections + using t=0.000s..0.699s for estimation (106 points) + frequencies: 8.5Hz..12.7Hz (4 points) + connectivity scores will be averaged for each band + using FFT with a Hanning window to estimate spectra + the following metrics will be computed: Coherence, PLV, WPLI + computing connectivity for epochs 1..4 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 5..8 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 9..12 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 13..16 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 17..20 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 21..24 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 25..28 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 29..32 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 33..36 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 37..40 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 41..44 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 45..48 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 49..52 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 53..56 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 57..60 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 61..64 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 65..68 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 69..71 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 3 out of 3 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 3 out of 3 | elapsed: 0.0s finished + assembling connectivity matrix + [Connectivity computation done] + computing surrogate 1 + Connectivity computation... + only using indices for lower-triangular matrix + computing connectivity for 2278 connections + using t=0.000s..0.699s for estimation (106 points) + frequencies: 8.5Hz..12.7Hz (4 points) + connectivity scores will be averaged for each band + using FFT with a Hanning window to estimate spectra + the following metrics will be computed: Coherence, PLV, WPLI + computing connectivity for epochs 1..4 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 5..8 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 9..12 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 13..16 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 17..20 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 21..24 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 25..28 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 29..32 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 33..36 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 37..40 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 41..44 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 45..48 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 49..52 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 53..56 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 57..60 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 61..64 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 65..68 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 69..71 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 3 out of 3 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 3 out of 3 | elapsed: 0.0s finished + assembling connectivity matrix + [Connectivity computation done] + computing surrogate 2 + Connectivity computation... + only using indices for lower-triangular matrix + computing connectivity for 2278 connections + using t=0.000s..0.699s for estimation (106 points) + frequencies: 8.5Hz..12.7Hz (4 points) + connectivity scores will be averaged for each band + using FFT with a Hanning window to estimate spectra + the following metrics will be computed: Coherence, PLV, WPLI + computing connectivity for epochs 1..4 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 5..8 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 9..12 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 13..16 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 17..20 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 21..24 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 25..28 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 29..32 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 33..36 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 37..40 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 41..44 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 45..48 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 49..52 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 53..56 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 57..60 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 61..64 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 65..68 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 69..71 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 3 out of 3 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 3 out of 3 | elapsed: 0.0s finished + assembling connectivity matrix + [Connectivity computation done] + computing surrogate 3 + Connectivity computation... + only using indices for lower-triangular matrix + computing connectivity for 2278 connections + using t=0.000s..0.699s for estimation (106 points) + frequencies: 8.5Hz..12.7Hz (4 points) + connectivity scores will be averaged for each band + using FFT with a Hanning window to estimate spectra + the following metrics will be computed: Coherence, PLV, WPLI + computing connectivity for epochs 1..4 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 5..8 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 9..12 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 13..16 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 17..20 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 21..24 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 25..28 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 29..32 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 33..36 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 37..40 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 41..44 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 45..48 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 49..52 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 53..56 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 57..60 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 61..64 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 65..68 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 69..71 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 3 out of 3 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 3 out of 3 | elapsed: 0.0s finished + assembling connectivity matrix + [Connectivity computation done] + computing surrogate 4 + Connectivity computation... + only using indices for lower-triangular matrix + computing connectivity for 2278 connections + using t=0.000s..0.699s for estimation (106 points) + frequencies: 8.5Hz..12.7Hz (4 points) + connectivity scores will be averaged for each band + using FFT with a Hanning window to estimate spectra + the following metrics will be computed: Coherence, PLV, WPLI + computing connectivity for epochs 1..4 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 5..8 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 9..12 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 13..16 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 17..20 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 21..24 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 25..28 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 29..32 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 33..36 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 37..40 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 41..44 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 45..48 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 49..52 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 53..56 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 57..60 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 61..64 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 65..68 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.0s finished + computing connectivity for epochs 69..71 + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 3 out of 3 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 3 out of 3 | elapsed: 0.0s finished + assembling connectivity matrix + [Connectivity computation done] + + + + + + +| + +.. code-block:: default + + + import os.path as op + import numpy as np + import matplotlib.pyplot as pl + + import mne + from mne_connectivity import spectral_connectivity_epochs + from mne.datasets import sample + from mne.minimum_norm import read_inverse_operator, apply_inverse_epochs + + from jumeg.jumeg_surrogates import Surrogates + + data_path = sample.data_path() + subjects_dir = op.join(data_path, 'subjects') + + fname_inv = op.join(data_path, 'MEG/sample/sample_audvis-meg-oct-6-meg-inv.fif') + fname_raw = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw.fif') + fname_event = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw-eve.fif') + + raw = mne.io.read_raw_fif(fname_raw) + events = mne.read_events(fname_event) + inverse_operator = read_inverse_operator(fname_inv) + + # add a bad channel + raw.info['bads'] += ['MEG 2443'] + + # pick MEG channels + picks = mne.pick_types(raw.info, meg=True, eeg=False, stim=False, eog=False, + exclude='bads') + + # Define epochs for left-auditory condition + event_id, tmin, tmax = 1, -0.2, 0.5 + epochs = mne.Epochs(raw, events, event_id, tmin, tmax, picks=picks, + baseline=(None, 0), reject=dict(mag=4e-12, grad=4000e-13)) + + snr = 1.0 # use lower SNR for single epochs + lambda2 = 1.0 / snr ** 2 + method = "dSPM" # use dSPM method (could also be MNE or sLORETA) + stcs = apply_inverse_epochs(epochs, inverse_operator, lambda2, method, + pick_ori="normal", return_generator=False) + + # get labels for FreeSurfer 'aparc' cortical parcellation with 34 labels/hemi + labels = mne.read_labels_from_annot('sample', parc='aparc', + subjects_dir=subjects_dir) + label_colors = [label.color for label in labels] + + # average the source estimates within each label using sign-flips to reduce + # signal cancellations, also here we can return a generator + src = inverse_operator['src'] + label_ts = mne.extract_label_time_course(stcs, labels, src, mode='mean_flip', + return_generator=False) + + # compute surrogates on the first STC extracted for 68 labels + n_surr = 5 + fmin = 8. + fmax = 13. + sfreq = raw.info['sfreq'] # the sampling frequency + con_methods = ['coh', 'plv', 'wpli'] + n_rois = len(labels) + full_surr_con = np.zeros((3, n_rois, n_rois, 1, n_surr)) + + real_con = spectral_connectivity_epochs( + label_ts, method=con_methods, mode='fourier', sfreq=sfreq, + fmin=fmin, fmax=fmax, faverage=True, n_jobs=4) + + # get the data from SpectralConnectivity object and expand it + real_con = np.array([c.get_data(output='dense') for c in real_con]) + + # loop through each of the label_ts from each epoch (i.e. 71) + # for my_label_ts in label_ts: + surr_ts = Surrogates(np.array(label_ts)) + surr_ts.original_data.shape + surr_label_ts = surr_ts.compute_surrogates(n_surr=n_surr, + return_generator=True) + + for ind_surr, surr in enumerate(surr_label_ts): + con = spectral_connectivity_epochs( + surr, method=con_methods, mode='fourier', sfreq=sfreq, + fmin=fmin, fmax=fmax, faverage=True, n_jobs=4) + + con = np.array([c.get_data(output='dense') for c in con]) + + # con now a list of arrays + # con shape (method, n_signals, n_signals, n_freqs) + full_surr_con[:, :, :, :, ind_surr] = con + assert full_surr_con.flatten().max() <= 1., 'Maximum connectivity is above 1.' + assert full_surr_con.flatten().min() >= 0., 'Minimum connectivity is 0.' + + surr_ts.clear_cache() + + # visualize the surrogates + # pl.plot(label_ts[0][0, :], 'b') + # for lts in surr_label_ts: + # pl.plot(lts[0, :], 'r') + # pl.title('Extracted label time courses - real vs surrogates') + # pl.show() + + + def sanity_check_con_matrix(con): + ''' + Check if the connectivity matrix provided satisfies necessary conditions. + This is done to ensure that the data remains clean and spurious values are + easily detected. + Expected a connectivity matrix of shape + (n_methods x n_rois x n_rois x n_freqs x n_surr) + ''' + n_methods, n_rois, n_rois, n_freqs, n_surr = con.shape + assert np.any(con), 'Matrix is not all zeros.' + assert not (con == con[0]).all(), 'All rows are equal - methods not different.' + for surr in range(1, n_surr): + assert not (con[:, :, :, :, surr] == con[:, :, :, :, 0]).all(), 'All surrogates are equal.' + assert not np.triu(con[0, :, :, 0, surr]).any(), 'Matrices not symmetric.' + + + sanity_check_con_matrix(full_surr_con) + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 2.526 seconds) + + +.. _sphx_glr_download_auto_examples_connectivity_plot_generate_surrogate_connectivity.py: + +.. only:: html + + .. container:: sphx-glr-footer sphx-glr-footer-example + + + + + .. container:: sphx-glr-download sphx-glr-download-python + + :download:`Download Python source code: plot_generate_surrogate_connectivity.py ` + + .. container:: sphx-glr-download sphx-glr-download-jupyter + + :download:`Download Jupyter notebook: plot_generate_surrogate_connectivity.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/build/html/_sources/auto_examples/connectivity/plot_generate_surrogate_stcs.rst.txt b/docs/build/html/_sources/auto_examples/connectivity/plot_generate_surrogate_stcs.rst.txt new file mode 100644 index 00000000..beb5a8a5 --- /dev/null +++ b/docs/build/html/_sources/auto_examples/connectivity/plot_generate_surrogate_stcs.rst.txt @@ -0,0 +1,285 @@ + +.. DO NOT EDIT. +.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. +.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: +.. "auto_examples/connectivity/plot_generate_surrogate_stcs.py" +.. LINE NUMBERS ARE GIVEN BELOW. + +.. only:: html + + .. note:: + :class: sphx-glr-download-link-note + + :ref:`Go to the end ` + to download the full example code + +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_connectivity_plot_generate_surrogate_stcs.py: + + +============= +Generate surrogate STCs +============= + + +Example to show surrogate generation on STCs using the jumeg Surrogates +module. + +.. GENERATED FROM PYTHON SOURCE LINES 12-72 + + + +.. image-sg:: /auto_examples/connectivity/images/sphx_glr_plot_generate_surrogate_stcs_001.png + :alt: Averaged real vs surrogate source time courses + :srcset: /auto_examples/connectivity/images/sphx_glr_plot_generate_surrogate_stcs_001.png + :class: sphx-glr-single-img + + +.. rst-class:: sphx-glr-script-out + + .. code-block:: none + + Opening raw data file /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/MEG/sample/sample_audvis_filt-0-40_raw.fif... + Read a total of 4 projection items: + PCA-v1 (1 x 102) idle + PCA-v2 (1 x 102) idle + PCA-v3 (1 x 102) idle + Average EEG reference (1 x 60) idle + Range : 6450 ... 48149 = 42.956 ... 320.665 secs + Ready. + Reading inverse operator decomposition from /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/MEG/sample/sample_audvis-meg-oct-6-meg-inv.fif... + Reading inverse operator info... + [done] + Reading inverse operator decomposition... + [done] + 305 x 305 full covariance (kind = 1) found. + Read a total of 4 projection items: + PCA-v1 (1 x 102) active + PCA-v2 (1 x 102) active + PCA-v3 (1 x 102) active + Average EEG reference (1 x 60) active + Noise covariance matrix read. + 22494 x 22494 diagonal covariance (kind = 2) found. + Source covariance matrix read. + 22494 x 22494 diagonal covariance (kind = 6) found. + Orientation priors read. + 22494 x 22494 diagonal covariance (kind = 5) found. + Depth priors read. + Did not find the desired covariance matrix (kind = 3) + Reading a source space... + Computing patch statistics... + Patch information added... + Distance information added... + [done] + Reading a source space... + Computing patch statistics... + Patch information added... + Distance information added... + [done] + 2 source spaces read + Read a total of 4 projection items: + PCA-v1 (1 x 102) active + PCA-v2 (1 x 102) active + PCA-v3 (1 x 102) active + Average EEG reference (1 x 60) active + Source spaces transformed to the inverse solution coordinate frame + Not setting metadata + 72 matching events found + Setting baseline interval to [-0.19979521315838786, 0.0] s + Applying baseline correction (mode: mean) + Created an SSP operator (subspace dimension = 3) + 4 projection items activated + Preparing the inverse operator for use... + Scaled noise and source covariance from nave = 1 to nave = 1 + Created the regularized inverter + Created an SSP operator (subspace dimension = 3) + Created the whitener using a noise covariance matrix with rank 302 (3 small eigenvalues omitted) + Computing noise-normalization factors (dSPM)... + [done] + Picked 305 channels from the data + Computing inverse... + Eigenleads need to be weighted ... + Processing epoch : 1 / 72 (at most) + Processing epoch : 2 / 72 (at most) + Processing epoch : 3 / 72 (at most) + Processing epoch : 4 / 72 (at most) + Processing epoch : 5 / 72 (at most) + Processing epoch : 6 / 72 (at most) + Processing epoch : 7 / 72 (at most) + Processing epoch : 8 / 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apply_inverse_epochs + import mne + + from jumeg.jumeg_surrogates import Surrogates, check_power_spectrum + + data_path = sample.data_path() + subjects_dir = op.join(data_path, 'subjects') + + fname_inv = op.join(data_path, 'MEG/sample/sample_audvis-meg-oct-6-meg-inv.fif') + fname_raw = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw.fif') + fname_event = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw-eve.fif') + + stcs_testing = True + + raw = mne.io.read_raw_fif(fname_raw) + events = mne.read_events(fname_event) + inverse_operator = read_inverse_operator(fname_inv) + + # add a bad channel + raw.info['bads'] += ['MEG 2443'] + + # pick MEG channels + picks = mne.pick_types(raw.info, meg=True, eeg=False, stim=False, eog=False, + exclude='bads') + + # define epochs for left-auditory condition + event_id, tmin, tmax = 1, -0.2, 0.5 + epochs = mne.Epochs(raw, events, event_id, tmin, tmax, picks=picks, + baseline=(None, 0), reject=dict(mag=4e-12, grad=4000e-13)) + + + snr = 1.0 # use lower SNR for single epochs + lambda2 = 1.0 / snr ** 2 + method = "dSPM" # use dSPM method (could also be MNE or sLORETA) + stcs = apply_inverse_epochs(epochs, inverse_operator, lambda2, method, + pick_ori="normal", return_generator=False) + + # compute surrogates for one STC + surr_stcs = Surrogates(stcs[0]) + mysurr = surr_stcs.compute_surrogates(n_surr=10, return_generator=False) + + # check if surrogates are correctly computed + assert not np.array_equal(mysurr[0].data, + mysurr[1].data), 'Surrogates mostly equal' + assert not np.array_equal(stcs[0].data, + mysurr[2].data), 'Surrogates equal to original' + + # visualize results by plotting 1 the average across voxels + # of original and surrogate STC + pl.plot(stcs[0].data.mean(axis=0)) + for i in mysurr: + pl.plot(i.data.mean(axis=0), color='r') + pl.title('Averaged real vs surrogate source time courses') + pl.show() + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 1.574 seconds) + + +.. _sphx_glr_download_auto_examples_connectivity_plot_generate_surrogate_stcs.py: + +.. only:: html + + .. container:: sphx-glr-footer sphx-glr-footer-example + + + + + .. container:: sphx-glr-download sphx-glr-download-python + + :download:`Download Python source code: plot_generate_surrogate_stcs.py ` + + .. container:: sphx-glr-download sphx-glr-download-jupyter + + :download:`Download Jupyter notebook: plot_generate_surrogate_stcs.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/build/html/_sources/auto_examples/connectivity/plot_generic_grouped_connectivity_circle.rst.txt b/docs/build/html/_sources/auto_examples/connectivity/plot_generic_grouped_connectivity_circle.rst.txt new file mode 100644 index 00000000..fdeb4606 --- /dev/null +++ b/docs/build/html/_sources/auto_examples/connectivity/plot_generic_grouped_connectivity_circle.rst.txt @@ -0,0 +1,116 @@ + +.. DO NOT EDIT. +.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. +.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: +.. "auto_examples/connectivity/plot_generic_grouped_connectivity_circle.py" +.. LINE NUMBERS ARE GIVEN BELOW. + +.. only:: html + + .. note:: + :class: sphx-glr-download-link-note + + :ref:`Go to the end ` + to download the full example code + +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_connectivity_plot_generic_grouped_connectivity_circle.py: + + +============= +Generic Grouped Connectivity Circle +============= + +Script exposing circle plots with outer ring. + +Author: Praveen Sripad + +.. GENERATED FROM PYTHON SOURCE LINES 13-44 + + + +.. rst-class:: sphx-glr-horizontal + + + * + + .. image-sg:: /auto_examples/connectivity/images/sphx_glr_plot_generic_grouped_connectivity_circle_001.png + :alt: Groups + :srcset: /auto_examples/connectivity/images/sphx_glr_plot_generic_grouped_connectivity_circle_001.png + :class: sphx-glr-multi-img + + * + + .. image-sg:: /auto_examples/connectivity/images/sphx_glr_plot_generic_grouped_connectivity_circle_002.png + :alt: Groups + Labels + :srcset: /auto_examples/connectivity/images/sphx_glr_plot_generic_grouped_connectivity_circle_002.png + :class: sphx-glr-multi-img + + + + + +.. code-block:: default + + import os.path as op + from jumeg.connectivity import (plot_generic_grouped_circle, + plot_fica_grouped_circle, + generate_random_connectivity_matrix) + from jumeg import get_jumeg_path + + # load the yaml grouping of Freesurfer labels + yaml_fname = op.join(get_jumeg_path(), 'data/rsn_desikan_aparc_cortex_grouping.yaml') + + # make a random matrix + con = generate_random_connectivity_matrix(size=(34, 34), symmetric=True) + + # load the label names in the original order + # this should be same order as the connectivity matrix + labels_fname = op.join(get_jumeg_path(), 'data/fica_names.txt') + with open(labels_fname, 'r') as f: + orig_labels = [line.rstrip('\n') for line in f] + + # plot the connectivity circle grouped + plot_generic_grouped_circle(yaml_fname, con, orig_labels, + node_order_size=34, + out_fname='fig_fica_circle.png', + show=False, n_lines=20, + title='Groups') + + # plot the connectivity circle with outer group labels ring + plot_fica_grouped_circle(yaml_fname, con, orig_labels, + node_order_size=34, + out_fname='fig_fica_circle_with_names.png', + show=False, n_lines=20, + title='Groups + Labels') + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 1.582 seconds) + + +.. _sphx_glr_download_auto_examples_connectivity_plot_generic_grouped_connectivity_circle.py: + +.. only:: html + + .. container:: sphx-glr-footer sphx-glr-footer-example + + + + + .. container:: sphx-glr-download sphx-glr-download-python + + :download:`Download Python source code: plot_generic_grouped_connectivity_circle.py ` + + .. container:: sphx-glr-download sphx-glr-download-jupyter + + :download:`Download Jupyter notebook: plot_generic_grouped_connectivity_circle.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/build/html/_sources/auto_examples/connectivity/plot_grouped_connectivity_circle.rst.txt b/docs/build/html/_sources/auto_examples/connectivity/plot_grouped_connectivity_circle.rst.txt new file mode 100644 index 00000000..4289a0cd --- /dev/null +++ b/docs/build/html/_sources/auto_examples/connectivity/plot_grouped_connectivity_circle.rst.txt @@ -0,0 +1,131 @@ + +.. DO NOT EDIT. +.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. +.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: +.. "auto_examples/connectivity/plot_grouped_connectivity_circle.py" +.. LINE NUMBERS ARE GIVEN BELOW. + +.. only:: html + + .. note:: + :class: sphx-glr-download-link-note + + :ref:`Go to the end ` + to download the full example code + +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_connectivity_plot_grouped_connectivity_circle.py: + + +============= +Plot grouped connectivity circle. +============= + +Example showing how to read grouped aparc labels from yaml file and plot +grouped connectivity circle with these labels. + +Author: Praveen Sripad + Christian Kiefer + +.. GENERATED FROM PYTHON SOURCE LINES 15-49 + + + +.. rst-class:: sphx-glr-horizontal + + + * + + .. image-sg:: /auto_examples/connectivity/images/sphx_glr_plot_grouped_connectivity_circle_001.png + :alt: plot grouped connectivity circle + :srcset: /auto_examples/connectivity/images/sphx_glr_plot_grouped_connectivity_circle_001.png + :class: sphx-glr-multi-img + + * + + .. image-sg:: /auto_examples/connectivity/images/sphx_glr_plot_grouped_connectivity_circle_002.png + :alt: plot grouped connectivity circle + :srcset: /auto_examples/connectivity/images/sphx_glr_plot_grouped_connectivity_circle_002.png + :class: sphx-glr-multi-img + + +.. rst-class:: sphx-glr-script-out + + .. code-block:: none + + +
+ + + + + +| + +.. code-block:: default + + import os.path as op + from jumeg import get_jumeg_path + from jumeg.connectivity import (plot_grouped_connectivity_circle, + generate_random_connectivity_matrix) + import yaml + + labels_fname = get_jumeg_path() + '/data/desikan_label_names.yaml' + yaml_cortex_fname = get_jumeg_path() + '/data/desikan_aparc_cortex_based_grouping.yaml' + yaml_cluster_fname = get_jumeg_path() + '/data/desikan_aparc_cluster_based_grouping_example.yaml' + replacer_dict_fname = get_jumeg_path() + '/data/replacer_dictionaries.yaml' + + with open(labels_fname, 'r') as f: + label_names = yaml.safe_load(f)['label_names'] + + with open(replacer_dict_fname, 'r') as f: + replacer_dict = yaml.safe_load(f)['replacer_dict_aparc'] + + # make a random matrix with 68 nodes + con = generate_random_connectivity_matrix(size=(68, 68), symmetric=True) + + # plot simple connectivity circle with cortex based grouping and colors + plot_grouped_connectivity_circle(yaml_cortex_fname, con, label_names, + labels_mode='replace', replacer_dict=replacer_dict, + out_fname='fig_grouped_con_circle_cortex.png', + colorbar_pos=(0.1, 0.1), n_lines=10, colorbar=True, + colormap='viridis') + + # plot connectivity circle with cluster-based grouping but same node colors as above + plot_grouped_connectivity_circle(yaml_cluster_fname, con, label_names, + labels_mode=None, replacer_dict=None, + yaml_color_fname=yaml_cortex_fname, + out_fname='fig_grouped_con_circle_cluster.png', + colorbar_pos=(0.1, 0.1), n_lines=10, colorbar=True, + colormap='viridis') + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 2.276 seconds) + + +.. _sphx_glr_download_auto_examples_connectivity_plot_grouped_connectivity_circle.py: + +.. only:: html + + .. container:: sphx-glr-footer sphx-glr-footer-example + + + + + .. container:: sphx-glr-download sphx-glr-download-python + + :download:`Download Python source code: plot_grouped_connectivity_circle.py ` + + .. container:: sphx-glr-download sphx-glr-download-jupyter + + :download:`Download Jupyter notebook: plot_grouped_connectivity_circle.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/build/html/_sources/auto_examples/connectivity/plot_label_distances.rst.txt b/docs/build/html/_sources/auto_examples/connectivity/plot_label_distances.rst.txt new file mode 100644 index 00000000..aed29b81 --- /dev/null +++ b/docs/build/html/_sources/auto_examples/connectivity/plot_label_distances.rst.txt @@ -0,0 +1,156 @@ + +.. DO NOT EDIT. +.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. +.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: +.. "auto_examples/connectivity/plot_label_distances.py" +.. LINE NUMBERS ARE GIVEN BELOW. + +.. only:: html + + .. note:: + :class: sphx-glr-download-link-note + + :ref:`Go to the end ` + to download the full example code + +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_connectivity_plot_label_distances.py: + + +========== +Plot label distances +========== + +Script to plot label distances on circle and connectome plots. + +.. GENERATED FROM PYTHON SOURCE LINES 10-71 + + + +.. rst-class:: sphx-glr-horizontal + + + * + + .. image-sg:: /auto_examples/connectivity/images/sphx_glr_plot_label_distances_001.png + :alt: plot label distances + :srcset: /auto_examples/connectivity/images/sphx_glr_plot_label_distances_001.png + :class: sphx-glr-multi-img + + * + + .. image-sg:: /auto_examples/connectivity/images/sphx_glr_plot_label_distances_002.png + :alt: plot label distances + :srcset: /auto_examples/connectivity/images/sphx_glr_plot_label_distances_002.png + :class: sphx-glr-multi-img + + +.. rst-class:: sphx-glr-script-out + + .. code-block:: none + + Reading labels from parcellation... + read 34 labels from /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/subjects/sample/label/lh.aparc.annot + read 34 labels from /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/subjects/sample/label/rh.aparc.annot + + + + + + +| + +.. code-block:: default + + + import os.path as op + + import mne + from mne.datasets import sample + from mne_connectivity import degree + + from jumeg import get_jumeg_path + from jumeg.connectivity import (get_label_distances, + plot_grouped_connectivity_circle) + import yaml + + from nilearn import plotting + + data_path = sample.data_path() + subjects_dir = op.join(data_path, 'subjects') + subject = 'sample' + + parc = 'aparc' + + yaml_cortex_fname = op.join(get_jumeg_path(), 'data/desikan_%s_cortex_based_grouping.yaml' % parc) + + labels_fname = op.join(get_jumeg_path(), 'data/desikan_label_names.yaml') + with open(labels_fname, 'r') as f: + label_names = yaml.safe_load(f)['label_names'] + + replacer_dict_fname = op.join(get_jumeg_path(), 'data/replacer_dictionaries.yaml') + with open(replacer_dict_fname, 'r') as f: + replacer_dict = yaml.safe_load(f)['replacer_dict_%s' % parc] + + # compute distances between center of masses (COMs) of the labels + # we also get the MNI coordinates of the COMs in millimetres + con, coords, _, _ = get_label_distances(subject, subjects_dir, parc=parc) + + # forget long range connections, plot short neighbouring connections + neighbor_range = 30. # millimetres + con[con > neighbor_range] = 0. + + cortex_colors = ['m', 'b', 'y', 'c', 'r', 'g', + 'g', 'r', 'c', 'y', 'b', 'm'] + + out_fname = 'fig_label_com_distances_circle_%0.1f_%s.png' % (neighbor_range, parc) + plot_grouped_connectivity_circle(yaml_cortex_fname, con, label_names, + replacer_dict=replacer_dict, + yaml_color_fname=None, labels_mode='replace', + cortex_colors=cortex_colors, + out_fname=out_fname, colorbar_pos=(0.1, 0.1), + n_lines=None, colorbar=True, + colormap='Reds') + + # compute the degree + degs = degree(con, threshold_prop=1) + + # show the label ROIs and short range connections using nilearn glass brain + fig = plotting.plot_connectome(con, coords, node_size=degs, + edge_threshold='99%', + node_color='cornflowerblue', + display_mode='ortho', + title='%s' % parc) + + fig.savefig('fig_%s_labels_distance_degrees.png' % parc) + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 1.887 seconds) + + +.. _sphx_glr_download_auto_examples_connectivity_plot_label_distances.py: + +.. only:: html + + .. container:: sphx-glr-footer sphx-glr-footer-example + + + + + .. container:: sphx-glr-download sphx-glr-download-python + + :download:`Download Python source code: plot_label_distances.py ` + + .. container:: sphx-glr-download sphx-glr-download-jupyter + + :download:`Download Jupyter notebook: plot_label_distances.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/build/html/_sources/auto_examples/connectivity/plot_labelled_connectivity_circle.rst.txt b/docs/build/html/_sources/auto_examples/connectivity/plot_labelled_connectivity_circle.rst.txt new file mode 100644 index 00000000..1d601de6 --- /dev/null +++ b/docs/build/html/_sources/auto_examples/connectivity/plot_labelled_connectivity_circle.rst.txt @@ -0,0 +1,95 @@ + +.. DO NOT EDIT. +.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. +.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: +.. "auto_examples/connectivity/plot_labelled_connectivity_circle.py" +.. LINE NUMBERS ARE GIVEN BELOW. + +.. only:: html + + .. note:: + :class: sphx-glr-download-link-note + + :ref:`Go to the end ` + to download the full example code + +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_connectivity_plot_labelled_connectivity_circle.py: + + +========== +Plot labelled connectivity circle +========== + +Example exposing the plot_labelled_group_connectivity_circle function. + +Author: Praveen Sripad + +.. GENERATED FROM PYTHON SOURCE LINES 13-35 + + + +.. image-sg:: /auto_examples/connectivity/images/sphx_glr_plot_labelled_connectivity_circle_001.png + :alt: test RSN circ labels + :srcset: /auto_examples/connectivity/images/sphx_glr_plot_labelled_connectivity_circle_001.png + :class: sphx-glr-single-img + + + + + +.. code-block:: default + + import os.path as op + from jumeg.connectivity import (plot_labelled_group_connectivity_circle, + generate_random_connectivity_matrix) + from jumeg import get_jumeg_path + import yaml + + # load the yaml grouping of Freesurfer labels + yaml_fname = op.join(get_jumeg_path(), 'data/rsn_desikan_aparc_cortex_grouping.yaml') + label_names_yaml_fname = op.join(get_jumeg_path(), 'data/desikan_label_names.yaml') + + with open(label_names_yaml_fname, 'r') as f: + label_names = yaml.safe_load(f)['label_names'] + + # make a random matrix with 68 nodes + con = generate_random_connectivity_matrix(size=(68, 68), symmetric=True) + + # plotting within a subplot + plot_labelled_group_connectivity_circle(yaml_fname, con, label_names, + out_fname='fig_rsn_circle.png', + show=False, n_lines=20, + fontsize_names=6, + title='test RSN circ labels') + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 0.595 seconds) + + +.. _sphx_glr_download_auto_examples_connectivity_plot_labelled_connectivity_circle.py: + +.. only:: html + + .. container:: sphx-glr-footer sphx-glr-footer-example + + + + + .. container:: sphx-glr-download sphx-glr-download-python + + :download:`Download Python source code: plot_labelled_connectivity_circle.py ` + + .. container:: sphx-glr-download sphx-glr-download-jupyter + + :download:`Download Jupyter notebook: plot_labelled_connectivity_circle.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/build/html/_sources/auto_examples/connectivity/plot_shuffle_time_slices.rst.txt b/docs/build/html/_sources/auto_examples/connectivity/plot_shuffle_time_slices.rst.txt new file mode 100644 index 00000000..71fc407f --- /dev/null +++ b/docs/build/html/_sources/auto_examples/connectivity/plot_shuffle_time_slices.rst.txt @@ -0,0 +1,209 @@ + +.. DO NOT EDIT. +.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. +.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: +.. "auto_examples/connectivity/plot_shuffle_time_slices.py" +.. LINE NUMBERS ARE GIVEN BELOW. + +.. only:: html + + .. note:: + :class: sphx-glr-download-link-note + + :ref:`Go to the end ` + to download the full example code + +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_connectivity_plot_shuffle_time_slices.py: + + +==================================================== +Shuffle channels' data in the time domain and plot. +==================================================== + +.. GENERATED FROM PYTHON SOURCE LINES 6-69 + + + +.. rst-class:: sphx-glr-horizontal + + + * + + .. image-sg:: /auto_examples/connectivity/images/sphx_glr_plot_shuffle_time_slices_001.png + :alt: Gradiometers, Magnetometers + :srcset: /auto_examples/connectivity/images/sphx_glr_plot_shuffle_time_slices_001.png + :class: sphx-glr-multi-img + + * + + .. image-sg:: /auto_examples/connectivity/images/sphx_glr_plot_shuffle_time_slices_002.png + :alt: Gradiometers, Magnetometers + :srcset: /auto_examples/connectivity/images/sphx_glr_plot_shuffle_time_slices_002.png + :class: sphx-glr-multi-img + + * + + .. image-sg:: /auto_examples/connectivity/images/sphx_glr_plot_shuffle_time_slices_003.png + :alt: Gradiometers, Magnetometers + :srcset: /auto_examples/connectivity/images/sphx_glr_plot_shuffle_time_slices_003.png + :class: sphx-glr-multi-img + + * + + .. image-sg:: /auto_examples/connectivity/images/sphx_glr_plot_shuffle_time_slices_004.png + :alt: Gradiometers, Magnetometers + :srcset: /auto_examples/connectivity/images/sphx_glr_plot_shuffle_time_slices_004.png + :class: sphx-glr-multi-img + + * + + .. image-sg:: /auto_examples/connectivity/images/sphx_glr_plot_shuffle_time_slices_005.png + :alt: Gradiometers, Magnetometers + :srcset: /auto_examples/connectivity/images/sphx_glr_plot_shuffle_time_slices_005.png + :class: sphx-glr-multi-img + + * + + .. image-sg:: /auto_examples/connectivity/images/sphx_glr_plot_shuffle_time_slices_006.png + :alt: Gradiometers, Magnetometers + :srcset: /auto_examples/connectivity/images/sphx_glr_plot_shuffle_time_slices_006.png + :class: sphx-glr-multi-img + + +.. rst-class:: sphx-glr-script-out + + .. code-block:: none + + Opening raw data file /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/MEG/sample/sample_audvis_raw.fif... + Read a total of 3 projection items: + PCA-v1 (1 x 102) idle + PCA-v2 (1 x 102) idle + PCA-v3 (1 x 102) idle + Range : 25800 ... 192599 = 42.956 ... 320.670 secs + Ready. + Reading 0 ... 166799 = 0.000 ... 277.714 secs... + Opening raw data file /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/MEG/sample/sample_audvis_raw.fif,tperm-raw.fif... + Read a total of 3 projection items: + PCA-v1 (1 x 102) idle + PCA-v2 (1 x 102) idle + PCA-v3 (1 x 102) idle + Range : 25800 ... 192599 = 42.956 ... 320.670 secs + Ready. + Reading 0 ... 166799 = 0.000 ... 277.714 secs... + NOTE: plot_psd() is a legacy function. New code should use .compute_psd().plot(). + Effective window size : 3.410 (s) + NOTE: plot_psd() is a legacy function. New code should use .compute_psd().plot(). + Effective window size : 3.410 (s) + NOTE: plot_psd() is a legacy function. New code should use .compute_psd().plot(). + Effective window size : 3.410 (s) + NOTE: plot_psd() is a legacy function. New code should use .compute_psd().plot(). + Effective window size : 3.410 (s) + NOTE: plot_psd() is a legacy function. New code should use .compute_psd().plot(). + Effective window size : 3.410 (s) + NOTE: plot_psd() is a legacy function. New code should use .compute_psd().plot(). + Effective window size : 3.410 (s) + + + + + + +| + +.. code-block:: default + + # Author: Eberhard Eich + # Praveen Sripad + # + # License: BSD (3-clause) + + import os.path as op + import numpy as np + + import mne + from mne.datasets import sample + + from jumeg.jumeg_utils import (get_files_from_list, time_shuffle_slices, + channel_indices_from_list) + + data_path = sample.data_path() + raw_fname = op.join(data_path, 'MEG/sample/sample_audvis_raw.fif') + + # shuffle all MEG channels that begin with number 11 + shflchanlist = ['MEG 11..'] + + # shuffle the whole length of the data + tmin, tmax = 0., None + + # apply the shuffling + # time_shuffle_slices(raw_fname, shufflechans=shflchanlist, tmin=tmin, tmax=tmax) + + plot_things = True + if plot_things: + permname = op.join(op.dirname(raw_fname), + op.basename(raw_fname).split('-')[0]) + ',tperm-raw.fif' + + rawraw = mne.io.Raw(raw_fname,preload=True) + shflpick = channel_indices_from_list(rawraw.info['ch_names'][:], + shflchanlist) + procdperm = mne.io.Raw(permname, preload=True) + + figraw = rawraw.plot_psd(fmin=0., fmax=300., tmin=0., color=(1,0,0), picks=shflpick) + axisraw = figraw.gca() + axisraw.set_ylim([-300., -250.]) + # procdnr.plot_psd(fmin=0.,fmax=300., color=(0,0,1), picks=shflpick) + figshfl = procdperm.plot_psd(fmin=0., fmax=300., tmin=0., color=(1,0,0), picks=shflpick) + axisshfl = figshfl.gca() + axisshfl.set_ylim([-300., -250.]) + + megpick = mne.pick_types(rawraw.info, meg=True, ref_meg=False, eeg=False, eog=False, stim=False) + + figraw1 = rawraw.plot_psd(fmin=0., fmax=300., tmin=0., color=(0,0,1), picks=megpick) + axisraw1 = figraw1.gca() + axisraw1.set_ylim([-300., -250.]) + + figshfl1 = procdperm.plot_psd(fmin=0., fmax=300., tmin=0., color=(0,0,1), picks=megpick) + axisshfl1 = figshfl1.gca() + axisshfl1.set_ylim([-300., -250.]) + + megnochgpick = np.setdiff1d(megpick, shflpick) + + figraw2 = rawraw.plot_psd(fmin=0., fmax=300., tmin=0., color=(0,1,0), picks=megnochgpick) + axisraw2 = figraw2.gca() + axisraw2.set_ylim([-300., -250.]) + + figshfl2 = procdperm.plot_psd(fmin=0., fmax=300., tmin=0., color=(0,1,0), picks=megnochgpick) + axisshfl2 = figshfl2.gca() + axisshfl2.set_ylim([-300., -250.]) + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 4.928 seconds) + + +.. _sphx_glr_download_auto_examples_connectivity_plot_shuffle_time_slices.py: + +.. only:: html + + .. container:: sphx-glr-footer sphx-glr-footer-example + + + + + .. container:: sphx-glr-download sphx-glr-download-python + + :download:`Download Python source code: plot_shuffle_time_slices.py ` + + .. container:: sphx-glr-download sphx-glr-download-jupyter + + :download:`Download Jupyter notebook: plot_shuffle_time_slices.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/build/html/_sources/auto_examples/connectivity/plot_simulated_connectivity.rst.txt b/docs/build/html/_sources/auto_examples/connectivity/plot_simulated_connectivity.rst.txt new file mode 100644 index 00000000..247d786a --- /dev/null +++ b/docs/build/html/_sources/auto_examples/connectivity/plot_simulated_connectivity.rst.txt @@ -0,0 +1,258 @@ + +.. DO NOT EDIT. +.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. +.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: +.. "auto_examples/connectivity/plot_simulated_connectivity.py" +.. LINE NUMBERS ARE GIVEN BELOW. + +.. only:: html + + .. note:: + :class: sphx-glr-download-link-note + + :ref:`Go to the end ` + to download the full example code + +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_connectivity_plot_simulated_connectivity.py: + + +========== +Simulating Connectivity +========== + +Simple implementations of connectivity measures. + +.. GENERATED FROM PYTHON SOURCE LINES 10-186 + + + +.. image-sg:: /auto_examples/connectivity/images/sphx_glr_plot_simulated_connectivity_001.png + :alt: plot simulated connectivity + :srcset: /auto_examples/connectivity/images/sphx_glr_plot_simulated_connectivity_001.png + :class: sphx-glr-single-img + + +.. rst-class:: sphx-glr-script-out + + .. code-block:: none + + /Users/praveen.sripad/miniconda3/envs/jumeg/lib/python3.9/site-packages/matplotlib/cbook/__init__.py:1335: ComplexWarning: Casting complex values to real discards the imaginary part + return np.asarray(x, float) + + + + + + +| + +.. code-block:: default + + + # Authors : pravsripad@gmail.com + # daniel.vandevelden@yahoo.de + + import os.path as op + import sys + import numpy as np + import matplotlib.pyplot as pl + import matplotlib.mlab as mlab + + n_epochs = 120 + sfreq, duration = 1000., 1000 + times = np.arange(0, duration, 1 / sfreq) + amp , amp2 , nse_amp = 1., 1., 0.5 + nfft = 512 + + nse1 = np.random.rand(times.size) * nse_amp + nse2 = np.random.rand(times.size) * nse_amp + x = amp * np.sin(2 * np.pi * 200 * times) + nse1 + y = amp * np.sin(2 * np.pi * 200 * times + np.pi/5) + nse2 + + shift = 100 # integer + assert shift < sfreq * duration, 'Choose a smaller shift.' + #y = amp2 * np.roll(x, shift) + nse2 + + # coherence using mlab function + cohxy, freqs = mlab.cohere(x, y, Fs=sfreq, NFFT=nfft) + + n_freqs = int(nfft/2 + 1) + + def compute_mean_psd_csd(x, y, n_epochs, nfft, sfreq): + '''Computes mean of PSD and CSD for signals.''' + x2 = np.array_split(x, n_epochs) + y2 = np.array_split(y, n_epochs) + + Rxy = np.zeros((n_epochs, n_freqs), dtype=complex) + Rxx = np.zeros((n_epochs, n_freqs), dtype=complex) + Ryy = np.zeros((n_epochs, n_freqs), dtype=complex) + + for i in range(n_epochs): + Rxy[i], freqs = mlab.csd(x2[i], y2[i], NFFT=nfft, Fs=sfreq) + Rxx[i], _ = mlab.psd(x2[i], NFFT=nfft, Fs=sfreq) + Ryy[i], _ = mlab.psd(y2[i], NFFT=nfft, Fs=sfreq) + + Rxy_mean = np.mean(Rxy, axis=0) + Rxx_mean = np.mean(Rxx, axis=0) + Ryy_mean = np.mean(Ryy, axis=0) + + return freqs, Rxy, Rxy_mean, np.real(Rxx_mean), np.real(Ryy_mean) + + def my_coherence(n_freqs, Rxy_mean, Rxx_mean, Ryy_mean): + ''' Computes coherence. ''' + + coh = np.zeros((n_freqs)) + for i in range(0, n_freqs): + coh[i] = np.abs(Rxy_mean[i]) / np.sqrt(Rxx_mean[i] * Ryy_mean[i]) + + return coh + + def my_imcoh(n_freqs, Rxy_mean, Rxx_mean, Ryy_mean): + ''' Computes imaginary coherence. ''' + + imcoh = np.zeros((n_freqs)) + for i in range(0, n_freqs): + imcoh[i] = np.imag(Rxy_mean[i]) / np.sqrt(Rxx_mean[i] * Ryy_mean[i]) + + return imcoh + + def my_cohy(n_freqs, Rxy_mean, Rxx_mean, Ryy_mean): + ''' Computes coherency. ''' + + cohy = np.zeros((n_freqs)) + for i in range(0, n_freqs): + cohy[i] = np.real(Rxy_mean[i]) / np.sqrt(Rxx_mean[i] * Ryy_mean[i]) + + return cohy + + def my_plv(n_freqs, Rxy, Rxy_mean): + ''' Computes PLV. ''' + + Rxy_plv = np.zeros((n_epochs, n_freqs), dtype=complex) + for i in range(0, n_epochs): + Rxy_plv[i] = Rxy[i] / np.abs(Rxy[i]) + + plv = np.abs(np.mean(Rxy_plv, axis=0)) + return plv + + def my_pli(n_freqs, Rxy, Rxy_mean): + ''' Computes PLI. ''' + Rxy_pli = np.zeros((n_epochs, n_freqs), dtype=complex) + for i in range(0, n_epochs): + Rxy_pli[i] = np.sign(np.imag(Rxy[i])) + + pli = np.abs(np.mean(Rxy_pli, axis=0)) + return pli + + def my_wpli(n_freqs, Rxy, Rxy_mean): + ''' Computes WPLI. ''' + Rxy_wpli_1 = np.zeros((n_epochs, n_freqs), dtype=complex) + Rxy_wpli_2 = np.zeros((n_epochs, n_freqs), dtype=complex) + for i in range(0, n_epochs): + Rxy_wpli_1[i] = np.imag(Rxy[i]) + Rxy_wpli_2[i] = np.abs(np.imag(Rxy[i])) + + # handle divide by zero + denom = np.mean(Rxy_wpli_2, axis=0) + idx_denom = np.where(denom == 0.) + denom[idx_denom] = 1. + wpli = np.abs(np.mean(Rxy_wpli_1, axis=0)) / denom + wpli[idx_denom] = 0. + return wpli + + + def my_con(x, y, n_epochs, nfft, sfreq, con_name='coh'): + '''Computes connectivity measure mentioned on provided signal pair and its surrogates.''' + + freqs, Rxy, Rxy_mean, Rxx_mean, Ryy_mean = compute_mean_psd_csd(x, y, n_epochs, nfft, sfreq) + + # compute surrogates + x_surr = x.copy() + y_surr = y.copy() + np.random.shuffle(x_surr) + np.random.shuffle(y_surr) + freqs_surro, Rxy_s, Rxy_s_mean, Rxx_s_mean, Ryy_s_mean = compute_mean_psd_csd(x_surr, y_surr, n_epochs, nfft, sfreq) + + if con_name == 'coh': + coh = my_coherence(n_freqs, Rxy_mean, Rxx_mean, Ryy_mean) + coh_surro = my_coherence(n_freqs, Rxy_s_mean, Rxx_s_mean, Ryy_s_mean) + return coh, coh_surro, freqs, freqs_surro + + if con_name == 'imcoh': + imcoh = my_imcoh(n_freqs, Rxy_mean, Rxx_mean, Ryy_mean) + imcoh_surro = my_imcoh(n_freqs, Rxy_s_mean, Rxx_s_mean, Ryy_s_mean) + return imcoh, imcoh_surro, freqs, freqs_surro + + if con_name == 'cohy': + cohy = my_cohy(n_freqs, Rxy_mean, Rxx_mean, Ryy_mean) + cohy_surro = my_cohy(n_freqs, Rxy_s_mean, Rxx_s_mean, Ryy_s_mean) + return cohy, cohy_surro, freqs, freqs_surro + + if con_name == 'plv': + plv = my_plv(n_freqs, Rxy, Rxy_mean) + plv_surro = my_plv(n_freqs, Rxy_s, Rxy_s_mean) + return plv, plv_surro, freqs, freqs_surro + + if con_name == 'pli': + pli = my_pli(n_freqs, Rxy, Rxy_mean) + pli_surro = my_pli(n_freqs, Rxy_s, Rxy_s_mean) + return pli, pli_surro, freqs, freqs_surro + + if con_name == 'wpli': + wpli = my_wpli(n_freqs, Rxy, Rxy_mean) + wpli_surro = my_wpli(n_freqs, Rxy_s, Rxy_s_mean) + return wpli, wpli_surro, freqs, freqs_surro + + if con_name == '': + print('Please provide the connectivity method to use.') + sys.exit() + else: + print('Connectivity method unrecognized.') + sys.exit() + + con_name = 'wpli' + con, con_surro, freqs, freqs_surro = my_con(x, y, n_epochs, nfft, sfreq, con_name) + + # coherence using mlab function + #cohxy, freqs = mlab.cohere(x, y, Fs=sfreq, NFFT=nfft) + #pl.plot(freqs, cohxy) + + # plot results + pl.figure('Connectivity') + pl.plot(freqs, con) + pl.plot(freqs_surro, con_surro) + pl.legend(['Con', 'Surrogates']) + pl.tight_layout() + pl.show() + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 0.226 seconds) + + +.. _sphx_glr_download_auto_examples_connectivity_plot_simulated_connectivity.py: + +.. only:: html + + .. container:: sphx-glr-footer sphx-glr-footer-example + + + + + .. container:: sphx-glr-download sphx-glr-download-python + + :download:`Download Python source code: plot_simulated_connectivity.py ` + + .. container:: sphx-glr-download sphx-glr-download-jupyter + + :download:`Download Jupyter notebook: plot_simulated_connectivity.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/build/html/_sources/auto_examples/connectivity/plot_standard_resting_network_on_aparc_annot_map.rst.txt b/docs/build/html/_sources/auto_examples/connectivity/plot_standard_resting_network_on_aparc_annot_map.rst.txt new file mode 100644 index 00000000..99a3cdb9 --- /dev/null +++ b/docs/build/html/_sources/auto_examples/connectivity/plot_standard_resting_network_on_aparc_annot_map.rst.txt @@ -0,0 +1,283 @@ + +.. DO NOT EDIT. +.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. +.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: +.. "auto_examples/connectivity/plot_standard_resting_network_on_aparc_annot_map.py" +.. LINE NUMBERS ARE GIVEN BELOW. + +.. only:: html + + .. note:: + :class: sphx-glr-download-link-note + + :ref:`Go to the end ` + to download the full example code + +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_connectivity_plot_standard_resting_network_on_aparc_annot_map.py: + + +========== +Standard RSNs on the connectivity circle +========== + +Plot the visualization of the standard resting state network on the +connectivity circle plot showing the Freesurfer aparc annotation map. + +This provides a quick visualization of the primary connections of the standard +resting state network. + +Uses the standard RSNs provided by [1] +[1] P. Garcés, M. C. Martín-Buro, and F. Maestú, +“Quantifying the Test-Retest Reliability of Magnetoencephalography +Resting-State Functional Connectivity,” Brain Connect., vol. 6, no. 6, +pp. 448–460, 2016. + +Author: Praveen Sripad + +.. GENERATED FROM PYTHON SOURCE LINES 23-109 + + + +.. image-sg:: /auto_examples/connectivity/images/sphx_glr_plot_standard_resting_network_on_aparc_annot_map_001.png + :alt: plot standard resting network on aparc annot map + :srcset: /auto_examples/connectivity/images/sphx_glr_plot_standard_resting_network_on_aparc_annot_map_001.png + :class: sphx-glr-single-img + + +.. rst-class:: sphx-glr-script-out + + .. code-block:: none + + Visual Left visual cortex : [-41 -77 3] lh Closest vertex on surface chosen: [6708] + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s finished + Right visual cortex : [ 41 -72 1] rh Closest vertex on surface chosen: [10095] + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s finished + Sensorimotor Left primary somatosensory cortex : [-38 -27 52] lh Closest vertex on surface chosen: [62711] + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s finished + Right primary somatosensory cortex : [ 40 -25 50] rh Closest vertex on surface chosen: [71297] + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s finished + Auditory Left primary auditory cortex : [-55 -21 7] lh Closest vertex on surface chosen: [72410] + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s finished + Right primary auditory cortex : [ 57 -20 7] rh Closest vertex on surface chosen: [76848] + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s finished + DMN Precuneus : [ 1 -57 28] lh Closest vertex on surface chosen: [29030] + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s finished + Left inferior parietal : [-45 -65 30] lh Closest vertex on surface chosen: [15645] + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s finished + Right inferior parietal : [ 52 -60 26] rh Closest vertex on surface chosen: [26366] + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s finished + Anterior cingulate : [ 2 42 7] lh Closest vertex on surface chosen: [155310] + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s finished + Left FP Left angular gyrus : [-40 -58 56] lh Closest vertex on surface chosen: [24630] + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s finished + Left middle frontal gyrus : [-42 28 23] lh Closest vertex on surface chosen: [126993] + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s finished + Right FP Right angular gyrus : [ 53 -50 43] rh Closest vertex on surface chosen: [38519] + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s finished + Right middle frontal gyrus : [45 28 26] rh Closest vertex on surface chosen: [130082] + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s finished + Frontoinsular Left insula : [-38 16 2] lh Closest vertex on surface chosen: [115415] + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s finished + Right insula : [38 16 2] rh Closest vertex on surface chosen: [119046] + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s finished + Median cingulate : [-2 12 40] lh Closest vertex on surface chosen: [110618] + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.1s remaining: 0.1s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s finished + Reading labels from parcellation... + read 34 labels from /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/subjects/sample/label/lh.aparc.annot + read 34 labels from /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/subjects/sample/label/rh.aparc.annot + Left: Visual_Left visual cortex-lh [6708]
+ + + + + +| + +.. code-block:: default + + + import os.path as op + import numpy as np + import mne + + from mne.datasets import sample + from jumeg.jumeg_utils import get_jumeg_path + from jumeg.connectivity import make_annot_from_csv + from jumeg.connectivity import plot_grouped_connectivity_circle + + data_path = sample.data_path() + subject = 'sample' + subjects_dir = op.join(data_path, 'subjects') + parc_fname = 'standard_garces_2016' + csv_fname = op.join(get_jumeg_path(), 'data', 'standard_rsns.csv') + + # set make_annot to True to save the annotation to disk + labels, coords, foci = make_annot_from_csv(subject, subjects_dir, csv_fname, + parc_fname=parc_fname, + make_annot=False, + return_label_coords=True) + + aparc = mne.read_labels_from_annot('sample', subjects_dir=subjects_dir) + aparc_names = [apa.name for apa in aparc] + lh_aparc = [mylab for mylab in aparc if mylab.hemi == 'lh'] + rh_aparc = [mylab for mylab in aparc if mylab.hemi == 'rh'] + + # get the appropriate resting state labels + rst_aparc = [] + for i, rst_label in enumerate(labels): + myfoci = foci[i] # get the vertex + if rst_label.hemi == 'lh': # vertex hemi is stored in the rst_label + for mylab in lh_aparc: + if myfoci in mylab.vertices: + print('Left: ', rst_label.name, myfoci, mylab, aparc.index(mylab)) + rst_aparc.append(mylab) + elif rst_label.hemi == 'rh': + for mylab in rh_aparc: + if myfoci in mylab.vertices: + print('Right: ', rst_label.name, myfoci, mylab, aparc.index(mylab)) + rst_aparc.append(mylab) + else: + print('ERROR: ', rst_label) + + # only 16 labels in aparc show up, there are no vertices in the left hemi for + # Frontoinsular_Median cingulate-lh + rst_indices = [aparc.index(rst) for rst in rst_aparc] + + networks = {'Visual': ['lateraloccipital-lh', 'lateraloccipital-rh'], + 'Sensorimotor': ['supramarginal-lh', 'supramarginal-rh'], + 'Auditory': ['inferiortemporal-lh', 'middletemporal-rh'], + 'DMN': ['precuneus-lh', 'inferiorparietal-lh', + 'inferiorparietal-rh', 'medialorbitofrontal-lh'], + 'Left_FP': ['inferiorparietal-lh', 'superiortemporal-lh'], + 'Right_FP': ['inferiorparietal-rh', 'superiortemporal-rh'], + 'Frontoinsular': ['inferiortemporal-lh', 'inferiortemporal-rh']} + + # make a temporary connectivity matrix + n_nodes = 68 + con = np.zeros((n_nodes, n_nodes)) + + rst_combindices = [[16, 31], [50, 14], [50, 15], [50, 28], [14, 15], + [14, 28], [15, 28], [22, 23], [14, 60], [62, 63], + [15, 61], + [16, 17]] + + # assign different values to different networks manually + con[16, 31] = 0.4 # Auditory + con[50, 14] = con[50, 15] = con[50, 28] = con[14, 15] = con[14, 28] = con[15, 28] = 0.5 # DMN + con[22, 23] = 0.6 # Visual + con[14, 60] = 0.7 # Left FP + con[62, 63] = 0.8 # Sensorimotor + con[15, 61] = 0.9 # Right FP + con[16, 17] = 1 # Frontoinsular + + con += con.T # since we only add the combinations + + # plot the connectivity circle showing standard RSNs + from matplotlib.colors import ListedColormap + cmap = ListedColormap(['m', 'k', 'b', 'y', 'r', 'c', 'g']) + yaml_fname = get_jumeg_path() + '/data/desikan_aparc_cortex_based_grouping.yaml' + + plot_grouped_connectivity_circle(yaml_fname, con, aparc_names, n_lines=12, + labels_mode=None, colormap=cmap, colorbar=True, + replacer_dict=None, indices=None, + out_fname='fig_rsn_circle_plot.png') + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 4.079 seconds) + + +.. _sphx_glr_download_auto_examples_connectivity_plot_standard_resting_network_on_aparc_annot_map.py: + +.. only:: html + + .. container:: sphx-glr-footer sphx-glr-footer-example + + + + + .. container:: sphx-glr-download sphx-glr-download-python + + :download:`Download Python source code: plot_standard_resting_network_on_aparc_annot_map.py ` + + .. container:: sphx-glr-download sphx-glr-download-jupyter + + :download:`Download Jupyter notebook: plot_standard_resting_network_on_aparc_annot_map.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/build/html/_sources/auto_examples/connectivity/plot_surrogate_methods.rst.txt b/docs/build/html/_sources/auto_examples/connectivity/plot_surrogate_methods.rst.txt new file mode 100644 index 00000000..9fa7d376 --- /dev/null +++ b/docs/build/html/_sources/auto_examples/connectivity/plot_surrogate_methods.rst.txt @@ -0,0 +1,152 @@ + +.. DO NOT EDIT. +.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. +.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: +.. "auto_examples/connectivity/plot_surrogate_methods.py" +.. LINE NUMBERS ARE GIVEN BELOW. + +.. only:: html + + .. note:: + :class: sphx-glr-download-link-note + + :ref:`Go to the end ` + to download the full example code + +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_connectivity_plot_surrogate_methods.py: + + +========== +Plot surrogate methods +========== + +Plotting vrious methods used to generate surrogates. + +.. GENERATED FROM PYTHON SOURCE LINES 9-53 + + + +.. rst-class:: sphx-glr-horizontal + + + * + + .. image-sg:: /auto_examples/connectivity/images/sphx_glr_plot_surrogate_methods_001.png + :alt: shuffled + :srcset: /auto_examples/connectivity/images/sphx_glr_plot_surrogate_methods_001.png + :class: sphx-glr-multi-img + + * + + .. image-sg:: /auto_examples/connectivity/images/sphx_glr_plot_surrogate_methods_002.png + :alt: Shifted + :srcset: /auto_examples/connectivity/images/sphx_glr_plot_surrogate_methods_002.png + :class: sphx-glr-multi-img + + * + + .. image-sg:: /auto_examples/connectivity/images/sphx_glr_plot_surrogate_methods_003.png + :alt: phase_randomize + :srcset: /auto_examples/connectivity/images/sphx_glr_plot_surrogate_methods_003.png + :class: sphx-glr-multi-img + + * + + .. image-sg:: /auto_examples/connectivity/images/sphx_glr_plot_surrogate_methods_004.png + :alt: phase_randomize_scot + :srcset: /auto_examples/connectivity/images/sphx_glr_plot_surrogate_methods_004.png + :class: sphx-glr-multi-img + + +.. rst-class:: sphx-glr-script-out + + .. code-block:: none + + Surrogates OK. + Surrogates OK. + + + + + + +| + +.. code-block:: default + + + import numpy as np + import mne + from jumeg.jumeg_surrogates import Surrogates, check_power_spectrum + import matplotlib.pyplot as pl + + mysurr = Surrogates.SimpleTestData() + + # do shuffling + shuffled = mysurr.shuffle_time_points(mysurr.original_data) + + pl.figure('shuffled') + pl.title('shuffled') + pl.plot(mysurr.original_data[0]) + pl.plot(shuffled[0], color='r') + + # do shifting + shifted = mysurr.shift_data(mysurr.original_data) + + pl.figure('shifted') + pl.title('Shifted') + pl.plot(mysurr.original_data[0]) + pl.plot(shifted[0], color='r') + + # do phase randomization + phase_random = mysurr.randomize_phase(mysurr.original_data) + + pl.figure('phase_randomize') + pl.title('phase_randomize') + pl.plot(mysurr.original_data[0]) + pl.plot(phase_random[0], color='r') + + # do phase randomize as in scot + phase_random_scot = mysurr.randomize_phase_scot(mysurr.original_data) + + pl.figure('phase_randomize_scot') + pl.title('phase_randomize_scot') + pl.plot(mysurr.original_data[0]) + pl.plot(phase_random_scot[0], color='r') + + check_power_spectrum(mysurr.original_data, phase_random) + check_power_spectrum(mysurr.original_data, phase_random_scot) + + pl.show() + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 0.158 seconds) + + +.. _sphx_glr_download_auto_examples_connectivity_plot_surrogate_methods.py: + +.. only:: html + + .. container:: sphx-glr-footer sphx-glr-footer-example + + + + + .. container:: sphx-glr-download sphx-glr-download-python + + :download:`Download Python source code: plot_surrogate_methods.py ` + + .. container:: sphx-glr-download sphx-glr-download-jupyter + + :download:`Download Jupyter notebook: plot_surrogate_methods.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/build/html/_sources/auto_examples/connectivity/plot_test_transform_mni_to_ras.rst.txt b/docs/build/html/_sources/auto_examples/connectivity/plot_test_transform_mni_to_ras.rst.txt new file mode 100644 index 00000000..2f53fd6e --- /dev/null +++ b/docs/build/html/_sources/auto_examples/connectivity/plot_test_transform_mni_to_ras.rst.txt @@ -0,0 +1,136 @@ + +.. DO NOT EDIT. +.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. +.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: +.. "auto_examples/connectivity/plot_test_transform_mni_to_ras.py" +.. LINE NUMBERS ARE GIVEN BELOW. + +.. only:: html + + .. note:: + :class: sphx-glr-download-link-note + + :ref:`Go to the end ` + to download the full example code + +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_connectivity_plot_test_transform_mni_to_ras.py: + + +To plot a vertex point, convert it to MNI coordinates and then reconvert it back to RAS to obtain the vertex number. + +It works when 'fsaverage' subject is used, but does not when any other subjects are used. + +.. GENERATED FROM PYTHON SOURCE LINES 6-58 + + + + +.. rst-class:: sphx-glr-script-out + + .. code-block:: none + + + surface source space present ... + Computing morph matrix... + Left-hemisphere map read. + Right-hemisphere map read. + 17 smooth iterations done. + 14 smooth iterations done. + [done] + [done] + Using control points [ 4.68861652 5.62895504 18.37526537] + The MNI coords are [-45.85617065 -33.92855072 5.34525061] + + + + + + +| + +.. code-block:: default + + + import os + import os.path as op + import mne + from mne.datasets import sample + from surfer import utils + + print(__doc__) + + data_path = sample.data_path() + fname_inv = op.join(data_path, 'MEG/sample/sample_audvis-meg-oct-6-meg-inv.fif') + fname_evoked = op.join(data_path, 'MEG/sample/sample_audvis-ave.fif') + subjects_dir = op.join(data_path, 'subjects') + os.environ['SUBJECTS_DIR'] = subjects_dir + + stc_fname = op.join(data_path, 'MEG/sample/sample_audvis-meg') + stc = mne.read_source_estimate(stc_fname) + + morph = mne.compute_source_morph(stc, subject_from='sample', + subject_to='fsaverage', spacing=5, subjects_dir=subjects_dir) + new_stc = morph.apply(stc) + + subject = 'fsaverage' + + # Plot brain in 3D with PySurfer if available + brain = new_stc.plot(subject, hemi='lh', + subjects_dir=subjects_dir, backend='pyvistaqt') + brain.show_view('lateral') + + # use peak getter to move vizualization to the time point of the peak + vertno_max, time_idx = new_stc.get_peak(hemi='lh', time_as_index=True) + + brain.set_time_point(time_idx) + + # draw marker at maximum peaking vertex + brain.add_foci(vertno_max, coords_as_verts=True, hemi='lh', color='blue', + scale_factor=0.6, map_surface='white') + + mni_coords = mne.vertex_to_mni(vertno_max, hemis=0, subject=subject, + subjects_dir=subjects_dir) + print('The MNI coords are ', mni_coords) + + # my_trans = mne.read_trans(?) + # src_pts = apply_trans(trans, some_tgt_pts) + + utils.coord_to_label(subject, mni_coords, label='mycoord', + hemi='lh', n_steps=25, map_surface="white") + brain.add_label('mycoord-lh.label', color="darkseagreen", alpha=.8) + + # if the new mni_coords are computed + brain.add_foci(mni_coords, coords_as_verts=False, hemi='lh', + color='red', scale_factor=0.6) + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 2.830 seconds) + + +.. _sphx_glr_download_auto_examples_connectivity_plot_test_transform_mni_to_ras.py: + +.. only:: html + + .. container:: sphx-glr-footer sphx-glr-footer-example + + + + + .. container:: sphx-glr-download sphx-glr-download-python + + :download:`Download Python source code: plot_test_transform_mni_to_ras.py ` + + .. container:: sphx-glr-download sphx-glr-download-jupyter + + :download:`Download Jupyter notebook: plot_test_transform_mni_to_ras.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/build/html/_sources/auto_examples/connectivity/plot_vertices_around_seed.rst.txt b/docs/build/html/_sources/auto_examples/connectivity/plot_vertices_around_seed.rst.txt new file mode 100644 index 00000000..acad20dd --- /dev/null +++ b/docs/build/html/_sources/auto_examples/connectivity/plot_vertices_around_seed.rst.txt @@ -0,0 +1,108 @@ + +.. DO NOT EDIT. +.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. +.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: +.. "auto_examples/connectivity/plot_vertices_around_seed.py" +.. LINE NUMBERS ARE GIVEN BELOW. + +.. only:: html + + .. note:: + :class: sphx-glr-download-link-note + + :ref:`Go to the end ` + to download the full example code + +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_connectivity_plot_vertices_around_seed.py: + + +========== +Plot vertices around seed. +========== + +Find distances between vertices and plot vertices in a small region. + +mainly using functions from within mne.label.grow_labels + +.. GENERATED FROM PYTHON SOURCE LINES 12-42 + + + + +.. rst-class:: sphx-glr-script-out + + .. code-block:: none + + 159 + + + + + + +| + +.. code-block:: default + + + import os.path as op + import mne + from mne.datasets import sample + + data_path = sample.data_path() + subjects_dir = op.join(data_path, 'subjects') + + tris, vert, dist = {}, {}, {} + hemi = 0 # lh + + # read the surface + vert[hemi], tris[hemi] = mne.read_surface(subjects_dir + '/fsaverage/surf/lh.inflated') + + # obtain distance matrix + dist[hemi] = mne.label.mesh_dist(tris[hemi], vert[hemi]) + + # choose seed vertex as 20 and plot vertices within 5mm radius around it + # obtain neighbouring vertices within 5mm distance + my_verts, my_dist = mne.label._verts_within_dist(dist[hemi], [20], 5) + + # number of vertices in a given radius + print(len(my_verts)) + + from surfer import Brain + brain = Brain('fsaverage', hemi='lh', surf='inflated', + subjects_dir=subjects_dir) + + for myv in my_verts: + brain.add_foci(myv, coords_as_verts=True, color='b', scale_factor=0.1) + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 12.661 seconds) + + +.. _sphx_glr_download_auto_examples_connectivity_plot_vertices_around_seed.py: + +.. only:: html + + .. container:: sphx-glr-footer sphx-glr-footer-example + + + + + .. container:: sphx-glr-download sphx-glr-download-python + + :download:`Download Python source code: plot_vertices_around_seed.py ` + + .. container:: sphx-glr-download sphx-glr-download-jupyter + + :download:`Download Jupyter notebook: plot_vertices_around_seed.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/build/html/_sources/auto_examples/connectivity/sg_execution_times.rst.txt b/docs/build/html/_sources/auto_examples/connectivity/sg_execution_times.rst.txt new file mode 100644 index 00000000..50da186d --- /dev/null +++ b/docs/build/html/_sources/auto_examples/connectivity/sg_execution_times.rst.txt @@ -0,0 +1,55 @@ + +:orphan: + +.. _sphx_glr_auto_examples_connectivity_sg_execution_times: + + +Computation times +================= +**00:59.376** total execution time for **auto_examples_connectivity** files: + ++----------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_examples_connectivity_plot_vertices_around_seed.py` (``plot_vertices_around_seed.py``) | 00:12.661 | 0.0 MB | ++----------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_examples_connectivity_plot_annot_standard_rsns.py` (``plot_annot_standard_rsns.py``) | 00:06.434 | 0.0 MB | ++----------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_examples_connectivity_plot_compute_label_distances.py` (``plot_compute_label_distances.py``) | 00:06.339 | 0.0 MB | ++----------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_examples_connectivity_plot_shuffle_time_slices.py` (``plot_shuffle_time_slices.py``) | 00:04.928 | 0.0 MB | ++----------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_examples_connectivity_plot_standard_resting_network_on_aparc_annot_map.py` (``plot_standard_resting_network_on_aparc_annot_map.py``) | 00:04.079 | 0.0 MB | ++----------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_examples_connectivity_plot_degree_circle.py` (``plot_degree_circle.py``) | 00:03.058 | 0.0 MB | ++----------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_examples_connectivity_plot_test_transform_mni_to_ras.py` (``plot_test_transform_mni_to_ras.py``) | 00:02.830 | 0.0 MB | ++----------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_examples_connectivity_plot_connectivity_between_standard_rsns.py` (``plot_connectivity_between_standard_rsns.py``) | 00:02.703 | 0.0 MB | ++----------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_examples_connectivity_plot_generate_surrogate_connectivity.py` (``plot_generate_surrogate_connectivity.py``) | 00:02.526 | 0.0 MB | ++----------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_examples_connectivity_plot_grouped_connectivity_circle.py` (``plot_grouped_connectivity_circle.py``) | 00:02.276 | 0.0 MB | ++----------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_examples_connectivity_plot_destriux_atlas_based_connectivity.py` (``plot_destriux_atlas_based_connectivity.py``) | 00:01.909 | 0.0 MB | ++----------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_examples_connectivity_plot_label_distances.py` (``plot_label_distances.py``) | 00:01.887 | 0.0 MB | ++----------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_examples_connectivity_plot_generic_grouped_connectivity_circle.py` (``plot_generic_grouped_connectivity_circle.py``) | 00:01.582 | 0.0 MB | ++----------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_examples_connectivity_plot_generate_surrogate_stcs.py` (``plot_generate_surrogate_stcs.py``) | 00:01.574 | 0.0 MB | ++----------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_examples_connectivity_plot_communities.py` (``plot_communities.py``) | 00:01.379 | 0.0 MB | ++----------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_examples_connectivity_plot_custom_grouped_connectivity_circle.py` (``plot_custom_grouped_connectivity_circle.py``) | 00:00.995 | 0.0 MB | ++----------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_examples_connectivity_plot_labelled_connectivity_circle.py` (``plot_labelled_connectivity_circle.py``) | 00:00.595 | 0.0 MB | ++----------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_examples_connectivity_plot_brain_connectome.py` (``plot_brain_connectome.py``) | 00:00.592 | 0.0 MB | ++----------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_examples_connectivity_plot_compute_epochs_surrogates.py` (``plot_compute_epochs_surrogates.py``) | 00:00.538 | 0.0 MB | ++----------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_examples_connectivity_plot_simulated_connectivity.py` (``plot_simulated_connectivity.py``) | 00:00.226 | 0.0 MB | ++----------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_examples_connectivity_plot_surrogate_methods.py` (``plot_surrogate_methods.py``) | 00:00.158 | 0.0 MB | ++----------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_examples_connectivity_plot_circle_lines_and_blobs.py` (``plot_circle_lines_and_blobs.py``) | 00:00.107 | 0.0 MB | ++----------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/docs/build/html/_sources/auto_examples/decompose/do_MLICA.rst.txt b/docs/build/html/_sources/auto_examples/decompose/do_MLICA.rst.txt new file mode 100644 index 00000000..c56ad457 --- /dev/null +++ b/docs/build/html/_sources/auto_examples/decompose/do_MLICA.rst.txt @@ -0,0 +1,218 @@ + +.. DO NOT EDIT. +.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. +.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: +.. "auto_examples/decompose/do_MLICA.py" +.. LINE NUMBERS ARE GIVEN BELOW. + +.. only:: html + + .. note:: + :class: sphx-glr-download-link-note + + :ref:`Go to the end ` + to download the full example code + +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_decompose_do_MLICA.py: + + +========== +Do MLICA +========== + +Compute ICA object based on filtered and downsampled data. +Identify ECG and EOG artifacts using the pre-trained DCNN model +and compare results using correlation & ctps analysis. + +Apply ICA object to filtered and unfiltered data. + +Ahmad Hasasneh, Nikolas Kampel, Praveen Sripad, N. Jon Shah, and Juergen Dammers +"Deep Learning Approach for Automatic Classification of Ocular and Cardiac +Artifacts in MEG Data" +Journal of Engineering, vol. 2018, Article ID 1350692,10 pages, 2018. +https://doi.org/10.1155/2018/1350692 + +.. GENERATED FROM PYTHON SOURCE LINES 18-166 + +.. code-block:: default + + + import os.path as op + import matplotlib.pylab as plt + plt.ion() + import numpy as np + import mne + from jumeg.decompose.ica_replace_mean_std import ICA, ica_update_mean_std + from keras.models import load_model + from jumeg.jumeg_noise_reducer import noise_reducer + from jumeg.jumeg_preprocessing import get_ics_cardiac, get_ics_ocular + from jumeg.jumeg_plot import plot_performance_artifact_rejection + from jumeg.jumeg_utils import get_jumeg_path + + # ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ + # settings + # ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ + model_thresh = 0.8 # >0.5 ..0.9 + n_components = 40 # 30 .. 60 + njobs = 'cuda' + sfreq_new = 250 # downsampling to 250 Hz + flow_raw, flow_high = 2, 45 # high pass filter prevents from false positives + flow_ecg, fhigh_ecg = 8, 20 + flow_eog, fhigh_eog = 1, 20 + ecg_thresh, eog_thresh = 0.3, 0.3 + ecg_ch = 'ECG 001' + eog1_ch = 'EOG 001' + eog2_ch = 'EOG 002' + reject = {'mag': 5e-12} + + # number time samples is fixed to 15000 + nsamples_chop = 15000 + ix_t1 = 0 # time index: here we use the first chop + ix_t2 = ix_t1 + nsamples_chop + + # ---------------------------------------------- + # load DCNN model for artifact rejection + # the details of the model is provided in: + # x_validation_shuffle_v4_split_23.txt + # model was trained on 4D data from Juelich + # ---------------------------------------------- + model_path = op.join(get_jumeg_path(), 'data') + model_name = op.join(model_path, "dcnn_model.hdf5") + model = load_model(model_name) + + # ---------------------------------------------- + # read example data file + # ---------------------------------------------- + path_data = '/data/megraid22/Common/DeepLearning/cau_data_validation/' + raw_fname = op.join(path_data, '109925_CAU01A_100715_0842_2_c,rfDC,t1,n_bcc,nr-raw.fif') + raw = mne.io.Raw(raw_fname, preload=True) + picks = mne.pick_types(raw.info, meg=True, eeg=False, eog=False, + stim=False, exclude='bads') + + + # ---------------------------------------------- + # filtering and down sampling + # ---------------------------------------------- + # filter prior to ICA + raw_filtered = raw.copy().filter(flow_raw, flow_high, picks=picks, filter_length='auto', + l_trans_bandwidth='auto', h_trans_bandwidth='auto', + n_jobs=njobs, method='fir', phase='zero', + fir_window='hamming') + # downsample data + raw_ds = raw_filtered.copy().resample(sfreq_new, npad='auto', window='boxcar', stim_picks=None, + n_jobs=njobs, events=None) + + # ---------------------------------------------- + # crop data to get first chop + # ---------------------------------------------- + # get times to crop + dt = raw_ds.times[1] # time period between two time samples + tmin = ix_t1 * dt + tmax = ix_t2 * dt - dt # subtract one sample + # crop all raw objects + raw_chop = raw.copy().crop(tmin=tmin, tmax=tmax) # raw + raw_filtered_chop = raw_filtered.copy().crop(tmin=tmin, tmax=tmax) # raw filtered + raw_ds_chop = raw_ds.copy().crop(tmin=tmin, tmax=tmax) # raw filtered downsampled + raw_filtered.close() + + # ---------------------------------------------- + # apply ICA + # ---------------------------------------------- + ica = ICA(method='fastica', n_components=n_components, random_state=42, + max_pca_components=None, max_iter=5000, verbose=None) + # do the ICA decomposition on downsampled raw + ica.fit(raw_ds_chop, picks=picks, reject=reject, verbose=None) + sources = ica.get_sources(raw_ds_chop)._data # get sources + sources = np.reshape(sources, (n_components,nsamples_chop, 1)) # reshape sources + + # ---------------------------------------------- + # model prediction + # identification of artifact components + # ---------------------------------------------- + # compute base functions + mm = np.float32(np.dot(ica.mixing_matrix_[:, :ica.n_components_].T, + ica.pca_components_[:ica.n_components_, :ica.max_pca_components])) + # get model prediction + model_scores = model.predict([mm, sources], verbose=1) + # get ICs + bads_MLICA = list(np.where(model_scores[:,0] > model_thresh)[0]) + + # ---------------------------------------------- + # order ICs for visualization + # ---------------------------------------------- + var_order = sources.std(axis=1).flatten().argsort()[::-1] + good_ics = np.setdiff1d(var_order, bads_MLICA) + ic_order = list(np.concatenate([bads_MLICA, good_ics])) + # store components in ica object + ica.exclude = list(bads_MLICA) + + + # ---------------------------------------------- + # compare MLICA results with correlation and ctps + # ---------------------------------------------- + print('Identifying components..') + # get ECG/EOG related components using JuMEG + ic_ecg = get_ics_cardiac(raw_filtered_chop, ica, flow=flow_ecg, fhigh=fhigh_ecg, + thresh=ecg_thresh, tmin=-0.5, tmax=0.5, + name_ecg=ecg_ch, use_CTPS=True)[0] # returns both ICs and scores (take only ICs) + ic_eog = get_ics_ocular(raw_filtered_chop, ica, flow=flow_eog, fhigh=fhigh_eog, + thresh=eog_thresh, name_eog_hor=eog1_ch, + name_eog_ver=eog2_ch, score_func='pearsonr') + bads_corr_ctps = list(ic_ecg) + list(ic_eog) + bads_corr_ctps = list(set(bads_corr_ctps)) # remove potential duplicates + bads_corr_ctps.sort() + print('Bad components from MLICA:', bads_MLICA) + print('Bad components from correlation & ctps:', bads_corr_ctps) + + + # ---------------------------------------------- + # plot results + # ---------------------------------------------- + # plot sources + fig = ica.plot_sources(raw_filtered_chop, picks=ic_order, title='MLICA', show=False) + #fig.savefig('MLICA_ica-sources.png') + + # plot artifact rejection performance + fnout_fig = '109925_CAU01A_100715_0842_2_c,rfDC,0-45hz,ar-perf' + ica_filtered_chop = ica_update_mean_std(raw_filtered_chop, ica, picks=picks, reject=reject) + raw_filtered_chop_clean = ica_filtered_chop.apply(raw_filtered_chop, exclude=ica.exclude, + n_pca_components=None) + ica_unfiltered_chop = ica_update_mean_std(raw_chop, ica, picks=picks, reject=reject) + raw_unfiltered_chop_clean = ica_unfiltered_chop.apply(raw_chop, exclude=ica.exclude, n_pca_components=None) + plot_performance_artifact_rejection(raw.copy().crop(tmin=tmin, tmax=tmax), ica_unfiltered_chop, fnout_fig, + meg_clean=raw_unfiltered_chop_clean, + show=True, verbose=False, + name_ecg=ecg_ch, + name_eog=eog2_ch) + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 0.000 seconds) + + +.. _sphx_glr_download_auto_examples_decompose_do_MLICA.py: + +.. only:: html + + .. container:: sphx-glr-footer sphx-glr-footer-example + + + + + .. container:: sphx-glr-download sphx-glr-download-python + + :download:`Download Python source code: do_MLICA.py ` + + .. container:: sphx-glr-download sphx-glr-download-jupyter + + :download:`Download Jupyter notebook: do_MLICA.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/build/html/_sources/auto_examples/decompose/do_compare_ica_methods.rst.txt b/docs/build/html/_sources/auto_examples/decompose/do_compare_ica_methods.rst.txt new file mode 100644 index 00000000..e89d8836 --- /dev/null +++ b/docs/build/html/_sources/auto_examples/decompose/do_compare_ica_methods.rst.txt @@ -0,0 +1,136 @@ + +.. DO NOT EDIT. +.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. +.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: +.. "auto_examples/decompose/do_compare_ica_methods.py" +.. LINE NUMBERS ARE GIVEN BELOW. + +.. only:: html + + .. note:: + :class: sphx-glr-download-link-note + + :ref:`Go to the end ` + to download the full example code + +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_decompose_do_compare_ica_methods.py: + + +========== +Compare ICA methods +========== + +Compute the ica object on filtered data based on the mne and on the +jumeg method. +Compare pca_mean_ and pre_whitener_ for: +mne & filtered data, jumeg & filtered data, jumeg & unfiltered data + +.. GENERATED FROM PYTHON SOURCE LINES 11-84 + +.. code-block:: default + + + import os.path as op + import mne + from mne.preprocessing.ica import ICA as ICA_mne + from jumeg.decompose.ica_replace_mean_std import ICA as ICA_jumeg + from jumeg.decompose.ica_replace_mean_std import apply_ica_replace_mean_std + from mne.datasets import sample + + flow = 1. + fhigh = 45. + + reject = {'mag': 5e-12} + + data_path = sample.data_path() + subjects_dir = op.join(data_path, 'subjects') + + fname_raw = op.join(data_path, 'MEG/sample/sample_audvis_raw.fif') + + raw = mne.io.Raw(fname_raw, preload=True) + raw_filt = raw.copy().filter(flow, fhigh, method='fir', n_jobs=2, fir_design='firwin', phase='zero') + + # use 60s of data + raw_filt.crop(0, 60) + raw.crop(0, 60) + raw_unfilt = raw.copy() + + picks = mne.pick_types(raw.info, meg=True, exclude='bads') + + ica_mne = ICA_mne(method='fastica', n_components=60, random_state=42, + max_pca_components=None, max_iter=5000, verbose=False) + + # fit ica object from mne to filtered data + ica_mne.fit(raw_filt, picks=picks, reject=reject, verbose=True) + + # save mean and standard deviation of filtered MEG channels for the standard mne routine + pca_mean_filt_mne = ica_mne.pca_mean_.copy() + pca_pre_whitener_filt_mne = ica_mne.pre_whitener_.copy() # this is the standard deviation of MEG channels + + + ica_jumeg = ICA_jumeg(method='fastica', n_components=60, random_state=42, + max_pca_components=None, max_iter=5000, verbose=False) + + # fit ica object from jumeg to filtered data + ica_jumeg.fit(raw_filt, picks=picks, reject=reject, verbose=True) + + # save mean and standard deviation of filtered MEG channels for the standard mne routine + pca_mean_filt_jumeg = ica_jumeg.pca_mean_.copy() + pca_pre_whitener_filt_jumeg = ica_jumeg.pre_whitener_.copy() # this is the standard deviation of MEG channels + + # use the same arguments for apply_ica_replace_mean_std as when you are initializing the ICA + # object and when you are fitting it to the data + # the ica object is modified in place!! + + # apply ica object from jumeg to unfiltered data while replacing the mean and std + raw_clean = apply_ica_replace_mean_std(raw_unfilt, ica_jumeg, picks=picks, reject=reject, exclude=ica_mne.exclude, + n_pca_components=None) + + # save mean and standard deviation of unfiltered MEG channels + pca_mean_replaced_unfilt_jumeg = ica_jumeg.pca_mean_ + pca_pre_whitener_replaced_unfilt_jumeg = ica_jumeg.pre_whitener_ + + # compare methods for filtered and unfiltered data + for idx in range(0, len(pca_mean_filt_mne)): + print('%10.6f\t%10.6f\t%10.6f' % (pca_mean_filt_mne[idx], pca_mean_filt_jumeg[idx], + pca_mean_replaced_unfilt_jumeg[idx])) + if idx >= 9: + break + + for idx in range(0, len(pca_pre_whitener_filt_mne)): + print(pca_pre_whitener_filt_mne[idx], pca_pre_whitener_filt_jumeg[idx],\ + pca_pre_whitener_replaced_unfilt_jumeg[idx]) + if idx >= 9: + break + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 0.000 seconds) + + +.. _sphx_glr_download_auto_examples_decompose_do_compare_ica_methods.py: + +.. only:: html + + .. container:: sphx-glr-footer sphx-glr-footer-example + + + + + .. container:: sphx-glr-download sphx-glr-download-python + + :download:`Download Python source code: do_compare_ica_methods.py ` + + .. container:: sphx-glr-download sphx-glr-download-jupyter + + :download:`Download Jupyter notebook: do_compare_ica_methods.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/build/html/_sources/auto_examples/decompose/index.rst.txt b/docs/build/html/_sources/auto_examples/decompose/index.rst.txt new file mode 100644 index 00000000..9b023482 --- /dev/null +++ b/docs/build/html/_sources/auto_examples/decompose/index.rst.txt @@ -0,0 +1,94 @@ + + +.. _sphx_glr_auto_examples_decompose: + +ICA Decomposition + + + +.. raw:: html + +
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/decompose/images/thumb/sphx_glr_plot_data_distribution_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_decompose_plot_data_distribution.py` + +.. raw:: html + +
Plot data distribution
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/decompose/images/thumb/sphx_glr_do_compare_ica_methods_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_decompose_do_compare_ica_methods.py` + +.. raw:: html + +
Compare ICA methods
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/decompose/images/thumb/sphx_glr_plot_rank_estimation_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_decompose_plot_rank_estimation.py` + +.. raw:: html + +
Plot rank estimation
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/decompose/images/thumb/sphx_glr_do_MLICA_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_decompose_do_MLICA.py` + +.. raw:: html + +
Do MLICA
+
+ + +.. raw:: html + +
+ + +.. toctree:: + :hidden: + + /auto_examples/decompose/plot_data_distribution + /auto_examples/decompose/do_compare_ica_methods + /auto_examples/decompose/plot_rank_estimation + /auto_examples/decompose/do_MLICA + diff --git a/docs/build/html/_sources/auto_examples/decompose/plot_data_distribution.rst.txt b/docs/build/html/_sources/auto_examples/decompose/plot_data_distribution.rst.txt new file mode 100644 index 00000000..c310c917 --- /dev/null +++ b/docs/build/html/_sources/auto_examples/decompose/plot_data_distribution.rst.txt @@ -0,0 +1,130 @@ + +.. DO NOT EDIT. +.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. +.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: +.. "auto_examples/decompose/plot_data_distribution.py" +.. LINE NUMBERS ARE GIVEN BELOW. + +.. only:: html + + .. note:: + :class: sphx-glr-download-link-note + + :ref:`Go to the end ` + to download the full example code + +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_decompose_plot_data_distribution.py: + + +========== +Plot data distribution +========== + +Example script to plot a given data distribution compared with a standard +Gaussian distribution. + +.. GENERATED FROM PYTHON SOURCE LINES 10-41 + + + +.. image-sg:: /auto_examples/decompose/images/sphx_glr_plot_data_distribution_001.png + :alt: Data Distribution + :srcset: /auto_examples/decompose/images/sphx_glr_plot_data_distribution_001.png + :class: sphx-glr-single-img + + +.. rst-class:: sphx-glr-script-out + + .. code-block:: none + + Opening raw data file /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/MEG/sample/sample_audvis_filt-0-40_raw.fif... + Read a total of 4 projection items: + PCA-v1 (1 x 102) idle + PCA-v2 (1 x 102) idle + PCA-v3 (1 x 102) idle + Average EEG reference (1 x 60) idle + Range : 6450 ... 48149 = 42.956 ... 320.665 secs + Ready. + Not setting metadata + 72 matching events found + Setting baseline interval to [-0.19979521315838786, 0.0] s + Applying baseline correction (mode: mean) + Created an SSP operator (subspace dimension = 3) + 4 projection items activated + Loading data for 72 events and 106 original time points ... + Rejecting epoch based on MAG : ['MEG 1711'] + 1 bad epochs dropped + Data of shape (71, 102, 106) will be flattened. + + + + + + +| + +.. code-block:: default + + + import os.path as op + import matplotlib.pyplot as plt + import mne + from mne.datasets import sample + from jumeg.jumeg_plot import plot_histo_fit_gaussian + + data_path = sample.data_path() + subjects_dir = op.join(data_path, 'subjects') + + fname_raw = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw.fif') + fname_event = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw-eve.fif') + + raw = mne.io.read_raw_fif(fname_raw) + events = mne.read_events(fname_event) + + # add a bad channel + raw.info['bads'] += ['MEG 2443'] + + # pick MEG channels + picks = mne.pick_types(raw.info, meg='mag', eeg=False, stim=False, eog=False, + exclude='bads') + + # Define epochs for left-auditory condition + event_id, tmin, tmax = 1, -0.2, 0.5 + epochs = mne.Epochs(raw, events, event_id, tmin, tmax, picks=picks, + baseline=(None, 0), reject=dict(mag=4e-12)) + + data = epochs.get_data() + + fig = plot_histo_fit_gaussian(data, nbins=100, fnout=None, show=True) + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 0.810 seconds) + + +.. _sphx_glr_download_auto_examples_decompose_plot_data_distribution.py: + +.. only:: html + + .. container:: sphx-glr-footer sphx-glr-footer-example + + + + + .. container:: sphx-glr-download sphx-glr-download-python + + :download:`Download Python source code: plot_data_distribution.py ` + + .. container:: sphx-glr-download sphx-glr-download-jupyter + + :download:`Download Jupyter notebook: plot_data_distribution.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/build/html/_sources/auto_examples/decompose/plot_rank_estimation.rst.txt b/docs/build/html/_sources/auto_examples/decompose/plot_rank_estimation.rst.txt new file mode 100644 index 00000000..e6718c0c --- /dev/null +++ b/docs/build/html/_sources/auto_examples/decompose/plot_rank_estimation.rst.txt @@ -0,0 +1,243 @@ + +.. DO NOT EDIT. +.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. +.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: +.. "auto_examples/decompose/plot_rank_estimation.py" +.. LINE NUMBERS ARE GIVEN BELOW. + +.. only:: html + + .. note:: + :class: sphx-glr-download-link-note + + :ref:`Go to the end ` + to download the full example code + +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_decompose_plot_rank_estimation.py: + + +========== +Plot rank estimation +========== + +Example script to estimate the rank of the given data array. + +.. GENERATED FROM PYTHON SOURCE LINES 9-148 + + + +.. image-sg:: /auto_examples/decompose/images/sphx_glr_plot_rank_estimation_001.png + :alt: Scree plot + :srcset: /auto_examples/decompose/images/sphx_glr_plot_rank_estimation_001.png + :class: sphx-glr-single-img + + +.. rst-class:: sphx-glr-script-out + + .. code-block:: none + + Opening raw data file /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/MEG/sample/sample_audvis_filt-0-40_raw.fif... + Read a total of 4 projection items: + PCA-v1 (1 x 102) idle + PCA-v2 (1 x 102) idle + PCA-v3 (1 x 102) idle + Average EEG reference (1 x 60) idle + Range : 6450 ... 48149 = 42.956 ... 320.665 secs + Ready. + + Rank estimation using methods implemented in jumeg (including whitening) + Ranks in order: MIBS, BIC, GAP, AIC, MDL, pct95, pct99: [28 28 1 35 22 5 15] + The median of the data is 22.000000 + + MIBS: n_comp = 4 + BIC: n_comp = 4 + GAP: n_comp = 1 + AIC: n_comp = 29 + MDL: n_comp = 22 + expl95: n_comp = 3 + expl99: n_comp = 12 + >>> Please be patient, this might take a while .... + + /Users/praveen.sripad/seafile/repolib/mne/jumeg/examples/decompose/plot_rank_estimation.py:127: MatplotlibDeprecationWarning: The get_cmap function was deprecated in Matplotlib 3.7 and will be removed two minor releases later. Use ``matplotlib.colormaps[name]`` or ``matplotlib.colormaps.get_cmap(obj)`` instead. + cmap = cm.get_cmap('Dark2') # 8 colors + + + + + + +| + +.. code-block:: default + + + import os.path as op + import mne + import numpy as np + from mne.datasets import sample + from sklearn.decomposition import PCA + import matplotlib.pyplot as plt + from matplotlib import cm + from jumeg.jumeg_utils import rank_estimation + from jumeg.decompose.dimension_selection import mibs, bic, gap, aic, mdl, explVar, fa_rank_cv, pca_rank_cv + + # ---------------------------------------- + # filenames and path + # ---------------------------------------- + data_path = sample.data_path() + subjects_dir = op.join(data_path, 'subjects') + fname_raw = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw.fif') + fname_event = op.join(data_path, 'MEG/sample/sample_audvis_filt-0-40_raw-eve.fif') + + # ---------------------------------------- + # read data and crop to speedup the process + # ---------------------------------------- + raw = mne.io.read_raw_fif(fname_raw) + events = mne.read_events(fname_event) + # add a bad channel + raw.info['bads'] += ['MEG 2443'] + # pick MEG channels + picks = mne.pick_types(raw.info, meg='mag', eeg=False, stim=False, eog=False, + exclude='bads') + # crop data to speed-up process + raw.crop(tmax=180) + data = raw.get_data()[picks, :] # data *= 1e12 will change the results ! + + # ========================================= + # Method 1: + # apply various dimension reduction tools + # to estimate the median of all + # ========================================= + rank_all, rank_median = rank_estimation(data) + print ('\nRank estimation using methods implemented in jumeg (including whitening)') + print('Ranks in order: MIBS, BIC, GAP, AIC, MDL, pct95, pct99: ', rank_all) + print('The median of the data is %f\n' % rank_median) + + + + # ========================================= + # Method 2: + # apply a single method for rank estimation + # using whitening provided by sklearn + # here we apply all methods separately + # ========================================= + # perform PCA + pca = PCA(svd_solver='auto', whiten=True) + pc = pca.fit_transform(data.T) + n_samples, n_features = pc.shape + + # rank estimation of a single method + rank_mibs = mibs(pca.explained_variance_, n_samples) # MIBS + rank_bic = bic(pca.explained_variance_, n_samples) # BIC + rank_gap = gap(pca.explained_variance_) # GAP + rank_aic = aic(pca.explained_variance_) # AIC + rank_mdl = mdl(pca.explained_variance_) # MDL + rank_expl95 = explVar(pca.explained_variance_, explainedVar=0.95) # expl. variance (95) + rank_expl99 = explVar(pca.explained_variance_, explainedVar=0.99) # expl. variance (99) + label_mibs = 'MIBS: n_comp = %d' % (rank_mibs) + label_bic = 'BIC: n_comp = %d' % (rank_bic) + label_gap = 'GAP: n_comp = %d' % (rank_gap) + label_aic = 'AIC: n_comp = %d' % (rank_aic) + label_mdl = 'MDL: n_comp = %d' % (rank_mdl) + label_expl95 = 'expl95: n_comp = %d' % (rank_expl95) + label_expl99 = 'expl99: n_comp = %d' % (rank_expl99) + print (label_mibs) + print (label_bic) + print (label_gap) + print (label_aic) + print (label_mdl) + print (label_expl95) + print (label_expl99) + + + # ------------------------------------------- + # Method 3 + # apply rank estimation utilizing cross-validation + # using PCA and FA scores + # Note, on normal data sets this will take a long time + # ------------------------------------------- + # define a list of components to test + # here we use all components from above and add a few more for testing + ncomp_list = np.unique(np.concatenate([rank_all[rank_all > 0], [40, 50]])) + ncomp_list.sort() + cv = 5 # depends on data length + print ('>>> Please be patient, this might take a while ....') + print ('') + # PCA: test a list of numbers in a cross-validation scenario + rank_cv_pca = pca_rank_cv(data, ncomp_list, cv=cv, whiten=True) + + # FA: test a list of components in a cross-validation scenario + rank_cv_fa = fa_rank_cv(pc.T, ncomp_list, cv=cv) + + label_cv_pca = 'PCA (CV=%d): %d' % (cv, rank_cv_pca) + label_cv_fa = 'FA (CV=%d): %d' % (cv, rank_cv_fa) + + + # ---------------------- + # plot results (Scree plot) + # ---------------------- + labels = np.array([label_aic, label_bic, label_gap, label_mdl, label_mibs, label_expl95, label_expl99]) + comps = np.array([rank_aic, rank_bic, rank_gap, rank_mdl, rank_mibs, rank_expl95, rank_expl99]) + # sorting by increasing number of components + ixsort = comps.argsort() + comps = comps[ixsort] + labels = labels[ixsort] + + # components estimated using CV + label_cv = [label_cv_pca, label_cv_fa] + comps_cv = [rank_cv_pca, rank_cv_fa] + + # plot figure + cmap = cm.get_cmap('Dark2') # 8 colors + colors = cmap.colors[::-1] + xaxis = np.arange(n_features)+1 + fig = plt.figure(figsize=(10, 6)) + plt.plot(xaxis, np.cumsum(pca.explained_variance_ratio_ * 100), marker='o', color='black') + plt.title('Scree plot') + plt.xlabel('# components') + plt.ylabel('explained variance / %') + # plot vertical line and label for each method + methods = [] + for i in range(len(comps)): + if (comps[i] > 0): + hl = plt.axvline(x=comps[i], color=colors[i], label=labels[i], linestyle='--') + methods.append(hl) + legend1 = plt.legend(handles=methods, loc='lower right') + ax = plt.gca().add_artist(legend1) + # plot vertical line and label for CV methods + l1 = plt.axvline(x=comps_cv[0], color='blue', label=label_cv[0], linewidth=3) + l2 = plt.axvline(x=comps_cv[1], color='red', label=label_cv[1], linewidth=3) + methods_cv = [l1,l2] + legend2 = plt.legend(handles=methods_cv, loc='center right') + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 47.321 seconds) + + +.. _sphx_glr_download_auto_examples_decompose_plot_rank_estimation.py: + +.. only:: html + + .. container:: sphx-glr-footer sphx-glr-footer-example + + + + + .. container:: sphx-glr-download sphx-glr-download-python + + :download:`Download Python source code: plot_rank_estimation.py ` + + .. container:: sphx-glr-download sphx-glr-download-jupyter + + :download:`Download Jupyter notebook: plot_rank_estimation.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/build/html/_sources/auto_examples/decompose/sg_execution_times.rst.txt b/docs/build/html/_sources/auto_examples/decompose/sg_execution_times.rst.txt new file mode 100644 index 00000000..edd56cfd --- /dev/null +++ b/docs/build/html/_sources/auto_examples/decompose/sg_execution_times.rst.txt @@ -0,0 +1,19 @@ + +:orphan: + +.. _sphx_glr_auto_examples_decompose_sg_execution_times: + + +Computation times +================= +**00:48.131** total execution time for **auto_examples_decompose** files: + ++---------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_examples_decompose_plot_rank_estimation.py` (``plot_rank_estimation.py``) | 00:47.321 | 0.0 MB | ++---------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_examples_decompose_plot_data_distribution.py` (``plot_data_distribution.py``) | 00:00.810 | 0.0 MB | ++---------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_examples_decompose_do_MLICA.py` (``do_MLICA.py``) | 00:00.000 | 0.0 MB | ++---------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_examples_decompose_do_compare_ica_methods.py` (``do_compare_ica_methods.py``) | 00:00.000 | 0.0 MB | ++---------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/docs/build/html/_sources/auto_examples/index.rst.txt b/docs/build/html/_sources/auto_examples/index.rst.txt new file mode 100644 index 00000000..2466b1b4 --- /dev/null +++ b/docs/build/html/_sources/auto_examples/index.rst.txt @@ -0,0 +1,723 @@ +:orphan: + +Examples showing various jumeg analysis. + + + +.. raw:: html + +
+ + +.. raw:: html + +
+ +Causality analysis. + + + +.. raw:: html + +
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/causality/images/thumb/sphx_glr_plot_causality_circle_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_causality_plot_causality_circle.py` + +.. raw:: html + +
Plot Causality Matrix
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/causality/images/thumb/sphx_glr_plot_inter_and_intra_lobe_causality_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_causality_plot_inter_and_intra_lobe_causality.py` + +.. raw:: html + +
Group Causality Matrix
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/causality/images/thumb/sphx_glr_do_granger_causality_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_causality_do_granger_causality.py` + +.. raw:: html + +
Granger Causality Analysis
+
+ + +.. raw:: html + +
+ +Connectivity analysis. + + + +.. raw:: html + +
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_degree_circle_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_degree_circle.py` + +.. raw:: html + +
Plot degree circle
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_vertices_around_seed_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_vertices_around_seed.py` + +.. raw:: html + +
Plot vertices around seed.
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_destriux_atlas_based_connectivity_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_destriux_atlas_based_connectivity.py` + +.. raw:: html + +
Plot Destriux Atlas
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_labelled_connectivity_circle_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_labelled_connectivity_circle.py` + +.. raw:: html + +
Plot labelled connectivity circle
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_surrogate_methods_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_surrogate_methods.py` + +.. raw:: html + +
Plot surrogate methods
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_brain_connectome_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_brain_connectome.py` + +.. raw:: html + +
Plot brain connectome
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_circle_lines_and_blobs_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_circle_lines_and_blobs.py` + +.. raw:: html + +
Plot centrality indices on connectivity circle plot
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_annot_standard_rsns_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_annot_standard_rsns.py` + +.. raw:: html + +
Visualise Standard RSNs
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_generic_grouped_connectivity_circle_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_generic_grouped_connectivity_circle.py` + +.. raw:: html + +
Generic Grouped Connectivity Circle
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_compute_label_distances_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_compute_label_distances.py` + +.. raw:: html + +
Compute Label Distances
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_compute_epochs_surrogates_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_compute_epochs_surrogates.py` + +.. raw:: html + +
Surrogate Connectivity Generation
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_grouped_connectivity_circle_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_grouped_connectivity_circle.py` + +.. raw:: html + +
Plot grouped connectivity circle.
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_test_transform_mni_to_ras_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_test_transform_mni_to_ras.py` + +.. raw:: html + +
To plot a vertex point, convert it to MNI coordinates and then reconvert it back to RAS to obtain the vertex number.
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_generate_surrogate_stcs_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_generate_surrogate_stcs.py` + +.. raw:: html + +
Generate surrogate STCs
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_shuffle_time_slices_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_shuffle_time_slices.py` + +.. raw:: html + +
Shuffle channels' data in the time domain and plot.
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_label_distances_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_label_distances.py` + +.. raw:: html + +
Plot label distances
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_communities_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_communities.py` + +.. raw:: html + +
Plot network communities
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_custom_grouped_connectivity_circle_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_custom_grouped_connectivity_circle.py` + +.. raw:: html + +
Plot Custom Grouped Circle
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_standard_resting_network_on_aparc_annot_map_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_standard_resting_network_on_aparc_annot_map.py` + +.. raw:: html + +
Standard RSNs on the connectivity circle
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_connectivity_between_standard_rsns_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_connectivity_between_standard_rsns.py` + +.. raw:: html + +
Modified MNE-Python example script to show connectivity between standard
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_generate_surrogate_connectivity_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_generate_surrogate_connectivity.py` + +.. raw:: html + +
Surrogate computation
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/connectivity/images/thumb/sphx_glr_plot_simulated_connectivity_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_connectivity_plot_simulated_connectivity.py` + +.. raw:: html + +
Simulating Connectivity
+
+ + +.. raw:: html + +
+ +ICA Decomposition + + + +.. raw:: html + +
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/decompose/images/thumb/sphx_glr_plot_data_distribution_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_decompose_plot_data_distribution.py` + +.. raw:: html + +
Plot data distribution
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/decompose/images/thumb/sphx_glr_do_compare_ica_methods_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_decompose_do_compare_ica_methods.py` + +.. raw:: html + +
Compare ICA methods
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/decompose/images/thumb/sphx_glr_plot_rank_estimation_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_decompose_plot_rank_estimation.py` + +.. raw:: html + +
Plot rank estimation
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/decompose/images/thumb/sphx_glr_do_MLICA_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_decompose_do_MLICA.py` + +.. raw:: html + +
Do MLICA
+
+ + +.. raw:: html + +
+ +MFT + + + +.. raw:: html + +
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/mft/images/thumb/sphx_glr_plot_perform_mft_surface_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_mft_plot_perform_mft_surface.py` + +.. raw:: html + +
Jumeg MFT example.
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/mft/images/thumb/sphx_glr_plot_perform_mft_surface_list_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_mft_plot_perform_mft_surface_list.py` + +.. raw:: html + +
Jumeg MFT example.
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/mft/images/thumb/sphx_glr_plot_perform_mft_volume_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_mft_plot_perform_mft_volume.py` + +.. raw:: html + +
Jumeg MFT volume.
+
+ + +.. raw:: html + +
+ +Preprocessing + + + +.. raw:: html + +
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/preprocessing/images/thumb/sphx_glr_plot_suggest_bads_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_preprocessing_plot_suggest_bads.py` + +.. raw:: html + +
Plot suggest bads.
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/preprocessing/images/thumb/sphx_glr_plot_interpolate_bads_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_preprocessing_plot_interpolate_bads.py` + +.. raw:: html + +
Plot and interpolate bads
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/preprocessing/images/thumb/sphx_glr_plot_noise_reducer_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_preprocessing_plot_noise_reducer.py` + +.. raw:: html + +
Plot noise reducer
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/preprocessing/images/thumb/sphx_glr_plot_compare_jumeg_filters_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_preprocessing_plot_compare_jumeg_filters.py` + +.. raw:: html + +
Filtering in jumeg.
+
+ + +.. raw:: html + +
+ + +.. toctree:: + :hidden: + :includehidden: + + + /auto_examples/causality/index.rst + /auto_examples/connectivity/index.rst + /auto_examples/decompose/index.rst + /auto_examples/mft/index.rst + /auto_examples/preprocessing/index.rst + + +.. only:: html + + .. container:: sphx-glr-footer sphx-glr-footer-gallery + + .. container:: sphx-glr-download sphx-glr-download-python + + :download:`Download all examples in Python source code: auto_examples_python.zip ` + + .. container:: sphx-glr-download sphx-glr-download-jupyter + + :download:`Download all examples in Jupyter notebooks: auto_examples_jupyter.zip ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/build/html/_sources/auto_examples/mft/index.rst.txt b/docs/build/html/_sources/auto_examples/mft/index.rst.txt new file mode 100644 index 00000000..968db5ee --- /dev/null +++ b/docs/build/html/_sources/auto_examples/mft/index.rst.txt @@ -0,0 +1,76 @@ + + +.. _sphx_glr_auto_examples_mft: + +MFT + + + +.. raw:: html + +
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/mft/images/thumb/sphx_glr_plot_perform_mft_surface_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_mft_plot_perform_mft_surface.py` + +.. raw:: html + +
Jumeg MFT example.
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/mft/images/thumb/sphx_glr_plot_perform_mft_surface_list_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_mft_plot_perform_mft_surface_list.py` + +.. raw:: html + +
Jumeg MFT example.
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/mft/images/thumb/sphx_glr_plot_perform_mft_volume_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_mft_plot_perform_mft_volume.py` + +.. raw:: html + +
Jumeg MFT volume.
+
+ + +.. raw:: html + +
+ + +.. toctree:: + :hidden: + + /auto_examples/mft/plot_perform_mft_surface + /auto_examples/mft/plot_perform_mft_surface_list + /auto_examples/mft/plot_perform_mft_volume + diff --git a/docs/build/html/_sources/auto_examples/mft/plot_perform_mft_surface.rst.txt b/docs/build/html/_sources/auto_examples/mft/plot_perform_mft_surface.rst.txt new file mode 100644 index 00000000..e1e7d319 --- /dev/null +++ b/docs/build/html/_sources/auto_examples/mft/plot_perform_mft_surface.rst.txt @@ -0,0 +1,1444 @@ + +.. DO NOT EDIT. +.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. +.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: +.. "auto_examples/mft/plot_perform_mft_surface.py" +.. LINE NUMBERS ARE GIVEN BELOW. + +.. only:: html + + .. note:: + :class: sphx-glr-download-link-note + + :ref:`Go to the end ` + to download the full example code + +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_mft_plot_perform_mft_surface.py: + + +==================== +Jumeg MFT example. +==================== + +Perform MFT on a surface based forward solution. + +.. GENERATED FROM PYTHON SOURCE LINES 8-116 + + + + +.. rst-class:: sphx-glr-script-out + + .. code-block:: none + + ########## MFT parameters: + mftpar['prbcnt' ] = None + mftpar['prbhw' ] = None + mftpar['iter' ] = 2 + mftpar['regtype' ] = PzetaE + mftpar['zetareg' ] = 1.0 + mftpar['solver' ] = lu + mftpar['svrelcut'] = 0.0005 + cdmcut = 0.1 + ########## get labels: + Reading labels from parcellation... + read 34 labels from /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/subjects/sample/label/lh.aparc.annot + read 34 labels from /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/subjects/sample/label/rh.aparc.annot + ########################## + ##### Calling apply_mft() + ########################## + Reading forward solution from /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/MEG/sample/sample_audvis-meg-oct-6-fwd.fif... + Reading a source space... + Computing patch statistics... + Patch information added... + Distance information added... + [done] + Reading a source space... + Computing patch statistics... + Patch information added... + Distance information added... + [done] + 2 source spaces read + Desired named matrix (kind = 3523) not available + Read MEG forward solution (7498 sources, 306 channels, free orientations) + Source spaces transformed to the forward solution coordinate frame + 102 out of 306 channels remain after picking + Reading /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/MEG/sample/sample_audvis-ave.fif ... + Read a total of 4 projection items: + PCA-v1 (1 x 102) active + PCA-v2 (1 x 102) active + PCA-v3 (1 x 102) active + Average EEG reference (1 x 60) active + Found the data of interest: + t = -199.80 ... 499.49 ms (Left Auditory) + 0 CTF compensation matrices available + nave = 55 - aspect type = 100 + Projections have already been applied. Setting proj attribute to True. + Applying baseline correction (mode: mean) + meg-channels = mag + exclude-channels = bads + mftpar['iter' ] = 2 + mftpar['currexp' ] = 1.0 + mftpar['regtype' ] = pzetae + mftpar['zetareg' ] = 1.0 + mftpar['solver' ] = lu + mftpar['svrelcut'] = 0.0005 + mftpar['prbfct' ] = uniform + mftpar['prbcnt' ] = None + mftpar['prbhw' ] = None + mftpar['prbxfm' ] = None + calccdm = 'all' with rel. cut = 0.10 + 102 out of 102 channels remain after picking + Leadfield size : n_sen x n_loc = 102 x 22494 + Number of source spaces = 2 + ########## Searching for label(s) in source space(s)... + 1 bankssts-lh lh: 1604 verts 49 used + 2 bankssts-rh rh: 1555 verts 43 used + 3 caudalanteriorcingulate-lh lh: 1277 verts 41 used + 4 caudalanteriorcingulate-rh rh: 1982 verts 56 used + 5 caudalmiddlefrontal-lh lh: 3810 verts 90 used + 6 caudalmiddlefrontal-rh rh: 3994 verts 96 used + 7 cuneus-lh lh: 2545 verts 37 used + 8 cuneus-rh rh: 2479 verts 34 used + 9 entorhinal-lh lh: 726 verts 21 used + 10 entorhinal-rh rh: 571 verts 14 used + 11 frontalpole-lh lh: 350 verts 6 used + 12 frontalpole-rh rh: 483 verts 8 used + 13 fusiform-lh lh: 5209 verts 130 used + 14 fusiform-rh rh: 4843 verts 119 used + 15 inferiorparietal-lh lh: 7839 verts 177 used + 16 inferiorparietal-rh rh: 8562 verts 184 used + 17 inferiortemporal-lh lh: 6363 verts 108 used + 18 inferiortemporal-rh rh: 5554 verts 106 used + 19 insula-lh lh: 3471 verts 115 used + 20 insula-rh rh: 3909 verts 143 used + 21 isthmuscingulate-lh lh: 2210 verts 95 used + 22 isthmuscingulate-rh rh: 2169 verts 106 used + 23 lateraloccipital-lh lh: 7446 verts 87 used + 24 lateraloccipital-rh rh: 7995 verts 92 used + 25 lateralorbitofrontal-lh lh: 4268 verts 96 used + 26 lateralorbitofrontal-rh rh: 4412 verts 104 used + 27 lingual-lh lh: 4758 verts 92 used + 28 lingual-rh rh: 4705 verts 90 used + 29 medialorbitofrontal-lh lh: 3683 verts 89 used + 30 medialorbitofrontal-rh rh: 3103 verts 60 used + 31 middletemporal-lh lh: 5695 verts 81 used + 32 middletemporal-rh rh: 6424 verts 101 used + 33 paracentral-lh lh: 2215 verts 56 used + 34 paracentral-rh rh: 2728 verts 61 used + 35 parahippocampal-lh lh: 1434 verts 52 used + 36 parahippocampal-rh rh: 934 verts 40 used + 37 parsopercularis-lh lh: 2758 verts 62 used + 38 parsopercularis-rh rh: 2299 verts 46 used + 39 parsorbitalis-lh lh: 1024 verts 21 used + 40 parsorbitalis-rh rh: 1270 verts 23 used + 41 parstriangularis-lh lh: 1818 verts 40 used + 42 parstriangularis-rh rh: 2251 verts 56 used + 43 pericalcarine-lh lh: 2270 verts 25 used + 44 pericalcarine-rh rh: 2359 verts 30 used + 45 postcentral-lh lh: 7542 verts 204 used + 46 postcentral-rh rh: 7413 verts 190 used + 47 posteriorcingulate-lh lh: 2132 verts 90 used + 48 posteriorcingulate-rh rh: 2434 verts 102 used + 50 precentral-rh rh: 9389 verts 249 used + 51 precuneus-lh lh: 5969 verts 158 used + 52 precuneus-rh rh: 6632 verts 179 used + 53 rostralanteriorcingulate-lh lh: 1864 verts 41 used + 54 rostralanteriorcingulate-rh rh: 1404 verts 27 used + 55 rostralmiddlefrontal-lh lh: 11598 verts 242 used + 56 rostralmiddlefrontal-rh rh: 11791 verts 230 used + 58 superiorfrontal-rh rh: 12505 verts 276 used + 59 superiorparietal-lh lh: 9662 verts 246 used + 60 superiorparietal-rh rh: 9564 verts 249 used + 61 superiortemporal-lh lh: 5433 verts 129 used + 62 superiortemporal-rh rh: 5404 verts 142 used + 63 supramarginal-lh lh: 6100 verts 171 used + 64 supramarginal-rh rh: 5872 verts 195 used + 65 temporalpole-lh lh: 726 verts 21 used + 66 temporalpole-rh rh: 503 verts 14 used + 67 transversetemporal-lh lh: 770 verts 22 used + 68 transversetemporal-rh rh: 733 verts 20 used + --> sums: 295372 verts 7027 used + prep. labels took 18.872 ms (0.019 s walltime) + ########## Calculate initial prob-dist: + Setting initial w=const ! + calc(wdist0) took 0.084 ms (0.000 s walltime) + ########## Calculate P-matrix, incl. weights: + calc(lf*w*lf.T) took 117.2224999999969 ms (0.117 s walltime) + ln(condno) = -109.495, K_H = 10^( -47.553) = 0.000 + (K_H < 0.01 : bad, K_H > 0.1 : good) + ########## Create stc data and qual data arrays: + Reading 421 slices of data to calc. cdv: + 102 out of 102 channels remain after picking + ##### Results: + slice= 0: relerr=7.948e-02 rdmerr=2.360e-01 mag=0.886 cdvmax= 6.00e-11 + slice= 1: relerr=1.139e-01 rdmerr=2.786e-01 mag=0.865 cdvmax= 6.07e-11 + slice= 2: relerr=1.715e-01 rdmerr=3.337e-01 mag=0.836 cdvmax= 5.96e-11 + slice= 3: relerr=2.413e-01 rdmerr=3.847e-01 mag=0.806 cdvmax= 5.59e-11 + slice= 4: relerr=2.894e-01 rdmerr=4.124e-01 mag=0.787 cdvmax= 5.12e-11 + slice= 5: relerr=2.894e-01 rdmerr=4.129e-01 mag=0.787 cdvmax= 5.03e-11 + slice= 6: relerr=2.560e-01 rdmerr=3.971e-01 mag=0.804 cdvmax= 4.91e-11 + slice= 7: relerr=2.165e-01 rdmerr=3.754e-01 mag=0.824 cdvmax= 4.76e-11 + slice= 8: relerr=1.835e-01 rdmerr=3.538e-01 mag=0.843 cdvmax= 4.75e-11 + slice= 9: relerr=1.593e-01 rdmerr=3.353e-01 mag=0.856 cdvmax= 4.84e-11 + slice= 10: relerr=1.432e-01 rdmerr=3.211e-01 mag=0.866 cdvmax= 5.45e-11 + slice= 11: relerr=1.341e-01 rdmerr=3.121e-01 mag=0.870 cdvmax= 6.00e-11 + slice= 12: relerr=1.314e-01 rdmerr=3.090e-01 mag=0.871 cdvmax= 6.45e-11 + slice= 13: relerr=1.349e-01 rdmerr=3.118e-01 mag=0.869 cdvmax= 6.82e-11 + slice= 14: relerr=1.450e-01 rdmerr=3.211e-01 mag=0.862 cdvmax= 7.14e-11 + slice= 15: relerr=1.630e-01 rdmerr=3.371e-01 mag=0.853 cdvmax= 7.43e-11 + slice= 16: relerr=1.902e-01 rdmerr=3.596e-01 mag=0.840 cdvmax= 7.69e-11 + slice= 17: relerr=2.273e-01 rdmerr=3.872e-01 mag=0.824 cdvmax= 7.89e-11 + slice= 18: relerr=2.718e-01 rdmerr=4.160e-01 mag=0.807 cdvmax= 7.95e-11 + slice= 19: relerr=3.157e-01 rdmerr=4.408e-01 mag=0.791 cdvmax= 7.80e-11 + slice= 20: relerr=3.455e-01 rdmerr=4.556e-01 mag=0.780 cdvmax= 7.37e-11 + slice= 21: relerr=3.459e-01 rdmerr=4.555e-01 mag=0.780 cdvmax= 6.64e-11 + slice= 22: relerr=3.108e-01 rdmerr=4.373e-01 mag=0.792 cdvmax= 5.95e-11 + slice= 23: relerr=2.494e-01 rdmerr=4.005e-01 mag=0.814 cdvmax= 5.03e-11 + slice= 24: relerr=1.806e-01 rdmerr=3.493e-01 mag=0.841 cdvmax= 4.28e-11 + slice= 25: relerr=1.230e-01 rdmerr=2.935e-01 mag=0.867 cdvmax= 4.16e-11 + slice= 26: relerr=8.963e-02 rdmerr=2.530e-01 mag=0.884 cdvmax= 4.24e-11 + slice= 27: relerr=8.851e-02 rdmerr=2.534e-01 mag=0.887 cdvmax= 4.85e-11 + slice= 28: relerr=1.202e-01 rdmerr=2.958e-01 mag=0.876 cdvmax= 5.72e-11 + slice= 29: relerr=1.720e-01 rdmerr=3.499e-01 mag=0.855 cdvmax= 8.42e-11 + slice= 30: relerr=2.250e-01 rdmerr=3.934e-01 mag=0.834 cdvmax= 1.09e-10 + slice= 31: relerr=2.670e-01 rdmerr=4.217e-01 mag=0.818 cdvmax= 1.40e-10 + slice= 32: relerr=2.951e-01 rdmerr=4.375e-01 mag=0.806 cdvmax= 1.69e-10 + slice= 33: relerr=3.115e-01 rdmerr=4.452e-01 mag=0.799 cdvmax= 1.94e-10 + slice= 34: relerr=3.190e-01 rdmerr=4.479e-01 mag=0.795 cdvmax= 2.15e-10 + slice= 35: relerr=3.200e-01 rdmerr=4.477e-01 mag=0.794 cdvmax= 2.31e-10 + slice= 36: relerr=3.160e-01 rdmerr=4.454e-01 mag=0.795 cdvmax= 2.42e-10 + slice= 37: relerr=3.076e-01 rdmerr=4.411e-01 mag=0.798 cdvmax= 2.46e-10 + slice= 38: relerr=2.950e-01 rdmerr=4.348e-01 mag=0.804 cdvmax= 2.43e-10 + slice= 39: relerr=2.785e-01 rdmerr=4.263e-01 mag=0.811 cdvmax= 2.32e-10 + slice= 40: relerr=2.580e-01 rdmerr=4.150e-01 mag=0.820 cdvmax= 2.12e-10 + slice= 41: relerr=2.335e-01 rdmerr=4.001e-01 mag=0.832 cdvmax= 1.84e-10 + slice= 42: relerr=2.043e-01 rdmerr=3.794e-01 mag=0.845 cdvmax= 1.47e-10 + slice= 43: relerr=1.681e-01 rdmerr=3.482e-01 mag=0.859 cdvmax= 1.08e-10 + slice= 44: relerr=1.249e-01 rdmerr=3.014e-01 mag=0.874 cdvmax= 6.70e-11 + slice= 45: relerr=9.451e-02 rdmerr=2.582e-01 mag=0.880 cdvmax= 4.75e-11 + slice= 46: relerr=1.188e-01 rdmerr=2.830e-01 mag=0.862 cdvmax= 5.39e-11 + slice= 47: relerr=1.655e-01 rdmerr=3.296e-01 mag=0.840 cdvmax= 8.56e-11 + slice= 48: relerr=1.947e-01 rdmerr=3.549e-01 mag=0.829 cdvmax= 1.02e-10 + slice= 49: relerr=2.074e-01 rdmerr=3.654e-01 mag=0.824 cdvmax= 1.07e-10 + slice= 50: relerr=2.106e-01 rdmerr=3.688e-01 mag=0.824 cdvmax= 1.04e-10 + slice= 51: relerr=2.090e-01 rdmerr=3.689e-01 mag=0.826 cdvmax= 9.81e-11 + slice= 52: relerr=2.057e-01 rdmerr=3.678e-01 mag=0.829 cdvmax= 1.08e-10 + slice= 53: relerr=2.025e-01 rdmerr=3.668e-01 mag=0.832 cdvmax= 1.15e-10 + slice= 54: relerr=2.008e-01 rdmerr=3.668e-01 mag=0.834 cdvmax= 1.19e-10 + slice= 55: relerr=2.012e-01 rdmerr=3.685e-01 mag=0.836 cdvmax= 1.20e-10 + slice= 56: relerr=2.043e-01 rdmerr=3.721e-01 mag=0.836 cdvmax= 1.21e-10 + slice= 57: relerr=2.102e-01 rdmerr=3.776e-01 mag=0.835 cdvmax= 1.21e-10 + slice= 58: relerr=2.188e-01 rdmerr=3.849e-01 mag=0.832 cdvmax= 1.21e-10 + slice= 59: relerr=2.295e-01 rdmerr=3.931e-01 mag=0.828 cdvmax= 1.20e-10 + slice= 60: relerr=2.411e-01 rdmerr=4.014e-01 mag=0.824 cdvmax= 1.19e-10 + slice= 61: relerr=2.519e-01 rdmerr=4.086e-01 mag=0.820 cdvmax= 1.17e-10 + slice= 62: relerr=2.593e-01 rdmerr=4.132e-01 mag=0.817 cdvmax= 1.13e-10 + slice= 63: relerr=2.599e-01 rdmerr=4.137e-01 mag=0.817 cdvmax= 1.06e-10 + slice= 64: relerr=2.508e-01 rdmerr=4.082e-01 mag=0.821 cdvmax= 9.51e-11 + slice= 65: relerr=2.301e-01 rdmerr=3.946e-01 mag=0.829 cdvmax= 7.91e-11 + slice= 66: relerr=1.983e-01 rdmerr=3.708e-01 mag=0.842 cdvmax= 5.84e-11 + slice= 67: relerr=1.605e-01 rdmerr=3.380e-01 mag=0.858 cdvmax= 5.33e-11 + slice= 68: relerr=1.274e-01 rdmerr=3.042e-01 mag=0.872 cdvmax= 5.01e-11 + slice= 69: relerr=1.173e-01 rdmerr=2.922e-01 mag=0.876 cdvmax= 5.03e-11 + slice= 70: relerr=1.483e-01 rdmerr=3.244e-01 mag=0.861 cdvmax= 5.73e-11 + slice= 71: relerr=2.077e-01 rdmerr=3.723e-01 mag=0.832 cdvmax= 6.19e-11 + slice= 72: relerr=2.665e-01 rdmerr=4.067e-01 mag=0.803 cdvmax= 7.90e-11 + slice= 73: relerr=3.105e-01 rdmerr=4.262e-01 mag=0.782 cdvmax= 9.01e-11 + slice= 74: relerr=3.386e-01 rdmerr=4.366e-01 mag=0.769 cdvmax= 9.54e-11 + slice= 75: relerr=3.537e-01 rdmerr=4.418e-01 mag=0.762 cdvmax= 9.55e-11 + slice= 76: relerr=3.590e-01 rdmerr=4.439e-01 mag=0.760 cdvmax= 9.09e-11 + slice= 77: relerr=3.558e-01 rdmerr=4.435e-01 mag=0.762 cdvmax= 8.36e-11 + slice= 78: relerr=3.432e-01 rdmerr=4.403e-01 mag=0.768 cdvmax= 7.33e-11 + slice= 79: relerr=3.180e-01 rdmerr=4.322e-01 mag=0.781 cdvmax= 5.90e-11 + slice= 80: relerr=2.755e-01 rdmerr=4.151e-01 mag=0.802 cdvmax= 4.20e-11 + slice= 81: relerr=2.158e-01 rdmerr=3.827e-01 mag=0.833 cdvmax= 3.70e-11 + slice= 82: relerr=1.544e-01 rdmerr=3.364e-01 mag=0.866 cdvmax= 3.68e-11 + slice= 83: relerr=1.171e-01 rdmerr=3.005e-01 mag=0.889 cdvmax= 3.27e-11 + slice= 84: relerr=1.123e-01 rdmerr=2.979e-01 mag=0.897 cdvmax= 2.52e-11 + slice= 85: relerr=1.241e-01 rdmerr=3.144e-01 mag=0.895 cdvmax= 3.40e-11 + slice= 86: relerr=1.393e-01 rdmerr=3.325e-01 mag=0.890 cdvmax= 4.27e-11 + slice= 87: relerr=1.534e-01 rdmerr=3.476e-01 mag=0.885 cdvmax= 4.71e-11 + slice= 88: relerr=1.658e-01 rdmerr=3.596e-01 mag=0.880 cdvmax= 4.71e-11 + slice= 89: relerr=1.763e-01 rdmerr=3.689e-01 mag=0.874 cdvmax= 4.11e-11 + slice= 90: relerr=1.851e-01 rdmerr=3.751e-01 mag=0.868 cdvmax= 3.11e-11 + slice= 91: relerr=1.925e-01 rdmerr=3.779e-01 mag=0.860 cdvmax= 3.42e-11 + slice= 92: relerr=1.985e-01 rdmerr=3.774e-01 mag=0.850 cdvmax= 3.63e-11 + slice= 93: relerr=2.019e-01 rdmerr=3.738e-01 mag=0.841 cdvmax= 3.67e-11 + slice= 94: relerr=2.022e-01 rdmerr=3.676e-01 mag=0.833 cdvmax= 3.58e-11 + slice= 95: relerr=2.006e-01 rdmerr=3.602e-01 mag=0.827 cdvmax= 3.64e-11 + slice= 96: relerr=1.980e-01 rdmerr=3.526e-01 mag=0.822 cdvmax= 3.78e-11 + slice= 97: relerr=1.934e-01 rdmerr=3.442e-01 mag=0.819 cdvmax= 3.97e-11 + slice= 98: relerr=1.839e-01 rdmerr=3.331e-01 mag=0.820 cdvmax= 4.77e-11 + slice= 99: relerr=1.680e-01 rdmerr=3.187e-01 mag=0.825 cdvmax= 5.52e-11 + slice= 100: relerr=1.489e-01 rdmerr=3.033e-01 mag=0.835 cdvmax= 6.93e-11 + slice= 101: relerr=1.341e-01 rdmerr=2.926e-01 mag=0.846 cdvmax= 8.76e-11 + slice= 102: relerr=1.291e-01 rdmerr=2.906e-01 mag=0.852 cdvmax= 1.05e-10 + slice= 103: relerr=1.332e-01 rdmerr=2.956e-01 mag=0.851 cdvmax= 1.17e-10 + slice= 104: relerr=1.427e-01 rdmerr=3.036e-01 mag=0.845 cdvmax= 1.24e-10 + slice= 105: relerr=1.527e-01 rdmerr=3.109e-01 mag=0.838 cdvmax= 1.24e-10 + slice= 106: relerr=1.592e-01 rdmerr=3.148e-01 mag=0.833 cdvmax= 1.20e-10 + slice= 107: relerr=1.590e-01 rdmerr=3.131e-01 mag=0.831 cdvmax= 1.10e-10 + slice= 108: relerr=1.495e-01 rdmerr=3.046e-01 mag=0.836 cdvmax= 9.72e-11 + slice= 109: relerr=1.303e-01 rdmerr=2.886e-01 mag=0.848 cdvmax= 8.71e-11 + slice= 110: relerr=1.084e-01 rdmerr=2.682e-01 mag=0.863 cdvmax= 8.72e-11 + slice= 111: relerr=1.115e-01 rdmerr=2.762e-01 mag=0.867 cdvmax= 8.56e-11 + slice= 112: relerr=1.494e-01 rdmerr=3.237e-01 mag=0.858 cdvmax= 8.20e-11 + slice= 113: relerr=2.058e-01 rdmerr=3.781e-01 mag=0.841 cdvmax= 7.65e-11 + slice= 114: relerr=2.618e-01 rdmerr=4.195e-01 mag=0.821 cdvmax= 6.89e-11 + slice= 115: relerr=3.102e-01 rdmerr=4.471e-01 mag=0.802 cdvmax= 9.70e-11 + slice= 116: relerr=3.511e-01 rdmerr=4.653e-01 mag=0.785 cdvmax= 1.23e-10 + slice= 117: relerr=3.862e-01 rdmerr=4.779e-01 mag=0.770 cdvmax= 1.43e-10 + slice= 118: relerr=4.163e-01 rdmerr=4.870e-01 mag=0.757 cdvmax= 1.56e-10 + slice= 119: relerr=4.408e-01 rdmerr=4.934e-01 mag=0.747 cdvmax= 1.62e-10 + slice= 120: relerr=4.580e-01 rdmerr=4.970e-01 mag=0.740 cdvmax= 1.62e-10 + slice= 121: relerr=4.658e-01 rdmerr=4.977e-01 mag=0.736 cdvmax= 1.55e-10 + slice= 122: relerr=4.627e-01 rdmerr=4.953e-01 mag=0.736 cdvmax= 1.44e-10 + slice= 123: relerr=4.482e-01 rdmerr=4.893e-01 mag=0.739 cdvmax= 1.29e-10 + slice= 124: relerr=4.228e-01 rdmerr=4.795e-01 mag=0.747 cdvmax= 1.12e-10 + slice= 125: relerr=3.876e-01 rdmerr=4.653e-01 mag=0.758 cdvmax= 9.59e-11 + slice= 126: relerr=3.435e-01 rdmerr=4.458e-01 mag=0.773 cdvmax= 9.01e-11 + slice= 127: relerr=2.911e-01 rdmerr=4.193e-01 mag=0.792 cdvmax= 8.96e-11 + slice= 128: relerr=2.319e-01 rdmerr=3.837e-01 mag=0.815 cdvmax= 8.66e-11 + slice= 129: relerr=1.714e-01 rdmerr=3.380e-01 mag=0.841 cdvmax= 8.05e-11 + slice= 130: relerr=1.221e-01 rdmerr=2.895e-01 mag=0.863 cdvmax= 8.25e-11 + slice= 131: relerr=1.002e-01 rdmerr=2.633e-01 mag=0.874 cdvmax= 9.05e-11 + slice= 132: relerr=1.063e-01 rdmerr=2.714e-01 mag=0.872 cdvmax= 9.36e-11 + slice= 133: relerr=1.249e-01 rdmerr=2.935e-01 mag=0.863 cdvmax= 9.30e-11 + slice= 134: relerr=1.448e-01 rdmerr=3.145e-01 mag=0.854 cdvmax= 1.12e-10 + slice= 135: relerr=1.600e-01 rdmerr=3.294e-01 mag=0.848 cdvmax= 1.38e-10 + slice= 136: relerr=1.679e-01 rdmerr=3.372e-01 mag=0.845 cdvmax= 1.60e-10 + slice= 137: relerr=1.686e-01 rdmerr=3.386e-01 mag=0.846 cdvmax= 1.79e-10 + slice= 138: relerr=1.632e-01 rdmerr=3.345e-01 mag=0.849 cdvmax= 1.98e-10 + slice= 139: relerr=1.533e-01 rdmerr=3.261e-01 mag=0.855 cdvmax= 2.13e-10 + slice= 140: relerr=1.405e-01 rdmerr=3.143e-01 mag=0.861 cdvmax= 2.17e-10 + slice= 141: relerr=1.258e-01 rdmerr=2.994e-01 mag=0.869 cdvmax= 2.08e-10 + slice= 142: relerr=1.098e-01 rdmerr=2.815e-01 mag=0.877 cdvmax= 1.86e-10 + slice= 143: relerr=9.281e-02 rdmerr=2.600e-01 mag=0.886 cdvmax= 1.55e-10 + slice= 144: relerr=7.554e-02 rdmerr=2.346e-01 mag=0.894 cdvmax= 1.48e-10 + slice= 145: relerr=6.135e-02 rdmerr=2.085e-01 mag=0.898 cdvmax= 1.53e-10 + slice= 146: relerr=6.484e-02 rdmerr=2.084e-01 mag=0.888 cdvmax= 1.79e-10 + slice= 147: relerr=1.070e-01 rdmerr=2.578e-01 mag=0.854 cdvmax= 1.91e-10 + slice= 148: relerr=1.694e-01 rdmerr=3.071e-01 mag=0.812 cdvmax= 1.87e-10 + slice= 149: relerr=2.008e-01 rdmerr=3.280e-01 mag=0.796 cdvmax= 2.26e-10 + slice= 150: relerr=1.961e-01 rdmerr=3.299e-01 mag=0.803 cdvmax= 2.71e-10 + slice= 151: relerr=1.776e-01 rdmerr=3.228e-01 mag=0.817 cdvmax= 3.12e-10 + slice= 152: relerr=1.577e-01 rdmerr=3.121e-01 mag=0.832 cdvmax= 3.50e-10 + slice= 153: relerr=1.399e-01 rdmerr=3.002e-01 mag=0.846 cdvmax= 3.90e-10 + slice= 154: relerr=1.246e-01 rdmerr=2.881e-01 mag=0.857 cdvmax= 4.29e-10 + slice= 155: relerr=1.114e-01 rdmerr=2.762e-01 mag=0.867 cdvmax= 4.68e-10 + slice= 156: relerr=9.988e-02 rdmerr=2.646e-01 mag=0.876 cdvmax= 4.97e-10 + slice= 157: relerr=8.938e-02 rdmerr=2.529e-01 mag=0.884 cdvmax= 5.19e-10 + slice= 158: relerr=7.952e-02 rdmerr=2.407e-01 mag=0.892 cdvmax= 5.33e-10 + slice= 159: relerr=7.000e-02 rdmerr=2.276e-01 mag=0.900 cdvmax= 5.39e-10 + slice= 160: relerr=6.065e-02 rdmerr=2.133e-01 mag=0.907 cdvmax= 5.39e-10 + slice= 161: relerr=5.150e-02 rdmerr=1.974e-01 mag=0.914 cdvmax= 5.32e-10 + slice= 162: relerr=4.277e-02 rdmerr=1.803e-01 mag=0.920 cdvmax= 5.40e-10 + slice= 163: relerr=3.476e-02 rdmerr=1.623e-01 mag=0.926 cdvmax= 5.48e-10 + slice= 164: relerr=2.783e-02 rdmerr=1.445e-01 mag=0.931 cdvmax= 5.55e-10 + slice= 165: relerr=2.229e-02 rdmerr=1.281e-01 mag=0.936 cdvmax= 5.61e-10 + slice= 166: relerr=1.837e-02 rdmerr=1.150e-01 mag=0.939 cdvmax= 5.64e-10 + slice= 167: relerr=1.612e-02 rdmerr=1.066e-01 mag=0.940 cdvmax= 5.63e-10 + slice= 168: relerr=1.539e-02 rdmerr=1.037e-01 mag=0.941 cdvmax= 5.58e-10 + slice= 169: relerr=1.582e-02 rdmerr=1.054e-01 mag=0.940 cdvmax= 5.48e-10 + slice= 170: relerr=1.697e-02 rdmerr=1.096e-01 mag=0.939 cdvmax= 5.48e-10 + slice= 171: relerr=1.836e-02 rdmerr=1.145e-01 mag=0.938 cdvmax= 5.42e-10 + slice= 172: relerr=1.958e-02 rdmerr=1.184e-01 mag=0.936 cdvmax= 5.29e-10 + slice= 173: relerr=2.033e-02 rdmerr=1.205e-01 mag=0.935 cdvmax= 5.71e-10 + slice= 174: relerr=2.045e-02 rdmerr=1.204e-01 mag=0.934 cdvmax= 6.06e-10 + slice= 175: relerr=1.995e-02 rdmerr=1.182e-01 mag=0.934 cdvmax= 6.46e-10 + slice= 176: relerr=1.896e-02 rdmerr=1.142e-01 mag=0.934 cdvmax= 6.78e-10 + slice= 177: relerr=1.772e-02 rdmerr=1.092e-01 mag=0.934 cdvmax= 7.01e-10 + slice= 178: relerr=1.650e-02 rdmerr=1.042e-01 mag=0.935 cdvmax= 7.15e-10 + slice= 179: relerr=1.554e-02 rdmerr=1.000e-01 mag=0.935 cdvmax= 7.21e-10 + slice= 180: relerr=1.499e-02 rdmerr=9.750e-02 mag=0.935 cdvmax= 7.20e-10 + slice= 181: relerr=1.486e-02 rdmerr=9.677e-02 mag=0.935 cdvmax= 7.13e-10 + slice= 182: relerr=1.503e-02 rdmerr=9.735e-02 mag=0.935 cdvmax= 7.02e-10 + slice= 183: relerr=1.535e-02 rdmerr=9.858e-02 mag=0.934 cdvmax= 6.87e-10 + slice= 184: relerr=1.575e-02 rdmerr=1.001e-01 mag=0.934 cdvmax= 6.71e-10 + slice= 185: relerr=1.630e-02 rdmerr=1.021e-01 mag=0.933 cdvmax= 6.54e-10 + slice= 186: relerr=1.726e-02 rdmerr=1.057e-01 mag=0.932 cdvmax= 6.36e-10 + slice= 187: relerr=1.908e-02 rdmerr=1.123e-01 mag=0.931 cdvmax= 6.17e-10 + slice= 188: relerr=2.222e-02 rdmerr=1.231e-01 mag=0.929 cdvmax= 5.96e-10 + slice= 189: relerr=2.699e-02 rdmerr=1.377e-01 mag=0.925 cdvmax= 5.74e-10 + slice= 190: relerr=3.330e-02 rdmerr=1.548e-01 mag=0.921 cdvmax= 5.50e-10 + slice= 191: relerr=4.067e-02 rdmerr=1.723e-01 mag=0.917 cdvmax= 5.24e-10 + slice= 192: relerr=4.833e-02 rdmerr=1.885e-01 mag=0.912 cdvmax= 4.97e-10 + slice= 193: relerr=5.545e-02 rdmerr=2.021e-01 mag=0.907 cdvmax= 4.68e-10 + slice= 194: relerr=6.143e-02 rdmerr=2.124e-01 mag=0.903 cdvmax= 4.39e-10 + slice= 195: relerr=6.605e-02 rdmerr=2.196e-01 mag=0.900 cdvmax= 4.08e-10 + slice= 196: relerr=6.951e-02 rdmerr=2.240e-01 mag=0.896 cdvmax= 3.74e-10 + slice= 197: relerr=7.248e-02 rdmerr=2.265e-01 mag=0.891 cdvmax= 3.35e-10 + slice= 198: relerr=7.627e-02 rdmerr=2.288e-01 mag=0.884 cdvmax= 2.91e-10 + slice= 199: relerr=8.271e-02 rdmerr=2.333e-01 mag=0.875 cdvmax= 2.42e-10 + slice= 200: relerr=9.333e-02 rdmerr=2.422e-01 mag=0.863 cdvmax= 2.10e-10 + slice= 201: relerr=1.072e-01 rdmerr=2.548e-01 mag=0.851 cdvmax= 1.91e-10 + slice= 202: relerr=1.191e-01 rdmerr=2.662e-01 mag=0.842 cdvmax= 1.84e-10 + slice= 203: relerr=1.240e-01 rdmerr=2.715e-01 mag=0.840 cdvmax= 2.05e-10 + slice= 204: relerr=1.212e-01 rdmerr=2.698e-01 mag=0.843 cdvmax= 2.22e-10 + slice= 205: relerr=1.142e-01 rdmerr=2.636e-01 mag=0.848 cdvmax= 2.34e-10 + slice= 206: relerr=1.069e-01 rdmerr=2.565e-01 mag=0.853 cdvmax= 2.42e-10 + slice= 207: relerr=1.020e-01 rdmerr=2.520e-01 mag=0.857 cdvmax= 2.46e-10 + slice= 208: relerr=1.007e-01 rdmerr=2.519e-01 mag=0.859 cdvmax= 2.46e-10 + slice= 209: relerr=1.028e-01 rdmerr=2.561e-01 mag=0.860 cdvmax= 2.44e-10 + slice= 210: relerr=1.072e-01 rdmerr=2.629e-01 mag=0.859 cdvmax= 2.43e-10 + slice= 211: relerr=1.126e-01 rdmerr=2.705e-01 mag=0.858 cdvmax= 2.47e-10 + slice= 212: relerr=1.173e-01 rdmerr=2.770e-01 mag=0.857 cdvmax= 2.49e-10 + slice= 213: relerr=1.201e-01 rdmerr=2.811e-01 mag=0.857 cdvmax= 2.49e-10 + slice= 214: relerr=1.206e-01 rdmerr=2.824e-01 mag=0.857 cdvmax= 2.49e-10 + slice= 215: relerr=1.187e-01 rdmerr=2.808e-01 mag=0.859 cdvmax= 2.48e-10 + slice= 216: relerr=1.146e-01 rdmerr=2.767e-01 mag=0.862 cdvmax= 2.46e-10 + slice= 217: relerr=1.087e-01 rdmerr=2.705e-01 mag=0.865 cdvmax= 2.43e-10 + slice= 218: relerr=1.016e-01 rdmerr=2.626e-01 mag=0.870 cdvmax= 2.39e-10 + slice= 219: relerr=9.392e-02 rdmerr=2.534e-01 mag=0.875 cdvmax= 2.32e-10 + slice= 220: relerr=8.626e-02 rdmerr=2.437e-01 mag=0.880 cdvmax= 2.21e-10 + slice= 221: relerr=7.934e-02 rdmerr=2.344e-01 mag=0.884 cdvmax= 2.08e-10 + slice= 222: relerr=7.372e-02 rdmerr=2.263e-01 mag=0.888 cdvmax= 2.00e-10 + slice= 223: relerr=6.977e-02 rdmerr=2.202e-01 mag=0.890 cdvmax= 2.11e-10 + slice= 224: relerr=6.768e-02 rdmerr=2.167e-01 mag=0.891 cdvmax= 2.18e-10 + slice= 225: relerr=6.750e-02 rdmerr=2.161e-01 mag=0.891 cdvmax= 2.21e-10 + slice= 226: relerr=6.910e-02 rdmerr=2.182e-01 mag=0.889 cdvmax= 2.22e-10 + slice= 227: relerr=7.220e-02 rdmerr=2.223e-01 mag=0.886 cdvmax= 2.22e-10 + slice= 228: relerr=7.638e-02 rdmerr=2.275e-01 mag=0.882 cdvmax= 2.20e-10 + slice= 229: relerr=8.126e-02 rdmerr=2.329e-01 mag=0.878 cdvmax= 2.19e-10 + slice= 230: relerr=8.654e-02 rdmerr=2.381e-01 mag=0.872 cdvmax= 2.19e-10 + slice= 231: relerr=9.208e-02 rdmerr=2.430e-01 mag=0.866 cdvmax= 2.22e-10 + slice= 232: relerr=9.805e-02 rdmerr=2.477e-01 mag=0.860 cdvmax= 2.27e-10 + slice= 233: relerr=1.048e-01 rdmerr=2.528e-01 mag=0.853 cdvmax= 2.35e-10 + slice= 234: relerr=1.126e-01 rdmerr=2.590e-01 mag=0.846 cdvmax= 2.44e-10 + slice= 235: relerr=1.213e-01 rdmerr=2.667e-01 mag=0.840 cdvmax= 2.53e-10 + slice= 236: relerr=1.302e-01 rdmerr=2.755e-01 mag=0.835 cdvmax= 2.59e-10 + slice= 237: relerr=1.380e-01 rdmerr=2.843e-01 mag=0.832 cdvmax= 2.62e-10 + slice= 238: relerr=1.437e-01 rdmerr=2.919e-01 mag=0.831 cdvmax= 2.62e-10 + slice= 239: relerr=1.469e-01 rdmerr=2.976e-01 mag=0.832 cdvmax= 2.61e-10 + slice= 240: relerr=1.479e-01 rdmerr=3.012e-01 mag=0.835 cdvmax= 2.59e-10 + slice= 241: relerr=1.470e-01 rdmerr=3.025e-01 mag=0.837 cdvmax= 2.53e-10 + slice= 242: relerr=1.444e-01 rdmerr=3.014e-01 mag=0.840 cdvmax= 2.44e-10 + slice= 243: relerr=1.398e-01 rdmerr=2.973e-01 mag=0.843 cdvmax= 2.34e-10 + slice= 244: relerr=1.332e-01 rdmerr=2.896e-01 mag=0.845 cdvmax= 2.22e-10 + slice= 245: relerr=1.243e-01 rdmerr=2.777e-01 mag=0.846 cdvmax= 2.10e-10 + slice= 246: relerr=1.138e-01 rdmerr=2.622e-01 mag=0.847 cdvmax= 1.98e-10 + slice= 247: relerr=1.030e-01 rdmerr=2.451e-01 mag=0.848 cdvmax= 1.88e-10 + slice= 248: relerr=9.359e-02 rdmerr=2.294e-01 mag=0.849 cdvmax= 1.77e-10 + slice= 249: relerr=8.642e-02 rdmerr=2.173e-01 mag=0.851 cdvmax= 1.66e-10 + slice= 250: relerr=8.131e-02 rdmerr=2.094e-01 mag=0.853 cdvmax= 1.56e-10 + slice= 251: relerr=7.734e-02 rdmerr=2.044e-01 mag=0.856 cdvmax= 1.53e-10 + slice= 252: relerr=7.372e-02 rdmerr=2.004e-01 mag=0.859 cdvmax= 1.57e-10 + slice= 253: relerr=7.042e-02 rdmerr=1.973e-01 mag=0.863 cdvmax= 1.58e-10 + slice= 254: relerr=6.862e-02 rdmerr=1.967e-01 mag=0.866 cdvmax= 1.58e-10 + slice= 255: relerr=7.079e-02 rdmerr=2.028e-01 mag=0.867 cdvmax= 1.61e-10 + slice= 256: relerr=7.957e-02 rdmerr=2.189e-01 mag=0.865 cdvmax= 1.62e-10 + slice= 257: relerr=9.538e-02 rdmerr=2.430e-01 mag=0.860 cdvmax= 1.66e-10 + slice= 258: relerr=1.161e-01 rdmerr=2.696e-01 mag=0.851 cdvmax= 1.76e-10 + slice= 259: relerr=1.387e-01 rdmerr=2.945e-01 mag=0.841 cdvmax= 1.87e-10 + slice= 260: relerr=1.603e-01 rdmerr=3.156e-01 mag=0.832 cdvmax= 1.97e-10 + slice= 261: relerr=1.790e-01 rdmerr=3.320e-01 mag=0.825 cdvmax= 2.07e-10 + slice= 262: relerr=1.937e-01 rdmerr=3.442e-01 mag=0.819 cdvmax= 2.19e-10 + slice= 263: relerr=2.041e-01 rdmerr=3.525e-01 mag=0.815 cdvmax= 2.33e-10 + slice= 264: relerr=2.103e-01 rdmerr=3.577e-01 mag=0.813 cdvmax= 2.46e-10 + slice= 265: relerr=2.128e-01 rdmerr=3.601e-01 mag=0.813 cdvmax= 2.58e-10 + slice= 266: relerr=2.122e-01 rdmerr=3.603e-01 mag=0.813 cdvmax= 2.67e-10 + slice= 267: relerr=2.088e-01 rdmerr=3.586e-01 mag=0.816 cdvmax= 2.73e-10 + slice= 268: relerr=2.030e-01 rdmerr=3.550e-01 mag=0.819 cdvmax= 2.77e-10 + slice= 269: relerr=1.950e-01 rdmerr=3.497e-01 mag=0.823 cdvmax= 2.77e-10 + slice= 270: relerr=1.849e-01 rdmerr=3.426e-01 mag=0.828 cdvmax= 2.74e-10 + slice= 271: relerr=1.729e-01 rdmerr=3.335e-01 mag=0.834 cdvmax= 2.68e-10 + slice= 272: relerr=1.591e-01 rdmerr=3.222e-01 mag=0.841 cdvmax= 2.59e-10 + slice= 273: relerr=1.440e-01 rdmerr=3.090e-01 mag=0.849 cdvmax= 2.46e-10 + slice= 274: relerr=1.283e-01 rdmerr=2.940e-01 mag=0.858 cdvmax= 2.31e-10 + slice= 275: relerr=1.130e-01 rdmerr=2.779e-01 mag=0.866 cdvmax= 2.14e-10 + slice= 276: relerr=9.905e-02 rdmerr=2.617e-01 mag=0.874 cdvmax= 1.96e-10 + slice= 277: relerr=8.732e-02 rdmerr=2.467e-01 mag=0.881 cdvmax= 1.77e-10 + slice= 278: relerr=7.839e-02 rdmerr=2.341e-01 mag=0.886 cdvmax= 1.64e-10 + slice= 279: relerr=7.254e-02 rdmerr=2.251e-01 mag=0.889 cdvmax= 1.58e-10 + slice= 280: relerr=6.971e-02 rdmerr=2.202e-01 mag=0.890 cdvmax= 1.54e-10 + slice= 281: relerr=6.955e-02 rdmerr=2.192e-01 mag=0.889 cdvmax= 1.62e-10 + slice= 282: relerr=7.151e-02 rdmerr=2.213e-01 mag=0.887 cdvmax= 1.71e-10 + slice= 283: relerr=7.500e-02 rdmerr=2.252e-01 mag=0.883 cdvmax= 1.80e-10 + slice= 284: relerr=7.954e-02 rdmerr=2.298e-01 mag=0.878 cdvmax= 1.88e-10 + slice= 285: relerr=8.501e-02 rdmerr=2.349e-01 mag=0.872 cdvmax= 1.95e-10 + slice= 286: relerr=9.164e-02 rdmerr=2.404e-01 mag=0.864 cdvmax= 2.00e-10 + slice= 287: relerr=9.992e-02 rdmerr=2.472e-01 mag=0.856 cdvmax= 2.02e-10 + slice= 288: relerr=1.102e-01 rdmerr=2.558e-01 mag=0.847 cdvmax= 2.01e-10 + slice= 289: relerr=1.218e-01 rdmerr=2.663e-01 mag=0.838 cdvmax= 1.97e-10 + slice= 290: relerr=1.326e-01 rdmerr=2.768e-01 mag=0.832 cdvmax= 1.89e-10 + slice= 291: relerr=1.388e-01 rdmerr=2.843e-01 mag=0.831 cdvmax= 1.77e-10 + slice= 292: relerr=1.367e-01 rdmerr=2.853e-01 mag=0.835 cdvmax= 1.63e-10 + slice= 293: relerr=1.256e-01 rdmerr=2.777e-01 mag=0.844 cdvmax= 1.47e-10 + slice= 294: relerr=1.090e-01 rdmerr=2.628e-01 mag=0.856 cdvmax= 1.33e-10 + slice= 295: relerr=9.145e-02 rdmerr=2.439e-01 mag=0.869 cdvmax= 1.21e-10 + slice= 296: relerr=7.632e-02 rdmerr=2.250e-01 mag=0.880 cdvmax= 1.14e-10 + slice= 297: relerr=6.485e-02 rdmerr=2.087e-01 mag=0.888 cdvmax= 1.12e-10 + slice= 298: relerr=5.687e-02 rdmerr=1.961e-01 mag=0.895 cdvmax= 1.16e-10 + slice= 299: relerr=5.161e-02 rdmerr=1.871e-01 mag=0.899 cdvmax= 1.21e-10 + slice= 300: relerr=4.820e-02 rdmerr=1.809e-01 mag=0.902 cdvmax= 1.25e-10 + slice= 301: relerr=4.594e-02 rdmerr=1.765e-01 mag=0.903 cdvmax= 1.29e-10 + slice= 302: relerr=4.441e-02 rdmerr=1.734e-01 mag=0.904 cdvmax= 1.33e-10 + slice= 303: relerr=4.354e-02 rdmerr=1.715e-01 mag=0.905 cdvmax= 1.35e-10 + slice= 304: relerr=4.366e-02 rdmerr=1.717e-01 mag=0.905 cdvmax= 1.36e-10 + slice= 305: relerr=4.535e-02 rdmerr=1.755e-01 mag=0.904 cdvmax= 1.38e-10 + slice= 306: relerr=4.923e-02 rdmerr=1.839e-01 mag=0.902 cdvmax= 1.38e-10 + slice= 307: relerr=5.543e-02 rdmerr=1.967e-01 mag=0.900 cdvmax= 1.37e-10 + slice= 308: relerr=6.326e-02 rdmerr=2.117e-01 mag=0.897 cdvmax= 1.33e-10 + slice= 309: relerr=7.125e-02 rdmerr=2.260e-01 mag=0.894 cdvmax= 1.28e-10 + slice= 310: relerr=7.758e-02 rdmerr=2.369e-01 mag=0.892 cdvmax= 1.21e-10 + slice= 311: relerr=8.085e-02 rdmerr=2.425e-01 mag=0.891 cdvmax= 1.13e-10 + slice= 312: relerr=8.055e-02 rdmerr=2.426e-01 mag=0.892 cdvmax= 1.10e-10 + slice= 313: relerr=7.713e-02 rdmerr=2.378e-01 mag=0.894 cdvmax= 1.07e-10 + slice= 314: relerr=7.172e-02 rdmerr=2.294e-01 mag=0.897 cdvmax= 1.02e-10 + slice= 315: relerr=6.571e-02 rdmerr=2.196e-01 mag=0.901 cdvmax= 9.95e-11 + slice= 316: relerr=6.034e-02 rdmerr=2.101e-01 mag=0.903 cdvmax= 9.95e-11 + slice= 317: relerr=5.644e-02 rdmerr=2.029e-01 mag=0.905 cdvmax= 1.00e-10 + slice= 318: relerr=5.457e-02 rdmerr=1.991e-01 mag=0.906 cdvmax= 1.01e-10 + slice= 319: relerr=5.489e-02 rdmerr=1.993e-01 mag=0.905 cdvmax= 1.02e-10 + slice= 320: relerr=5.697e-02 rdmerr=2.027e-01 mag=0.903 cdvmax= 1.02e-10 + slice= 321: relerr=5.971e-02 rdmerr=2.070e-01 mag=0.901 cdvmax= 1.07e-10 + slice= 322: relerr=6.191e-02 rdmerr=2.103e-01 mag=0.899 cdvmax= 1.13e-10 + slice= 323: relerr=6.287e-02 rdmerr=2.116e-01 mag=0.898 cdvmax= 1.18e-10 + slice= 324: relerr=6.249e-02 rdmerr=2.110e-01 mag=0.898 cdvmax= 1.23e-10 + slice= 325: relerr=6.114e-02 rdmerr=2.092e-01 mag=0.900 cdvmax= 1.27e-10 + slice= 326: relerr=5.927e-02 rdmerr=2.067e-01 mag=0.902 cdvmax= 1.31e-10 + slice= 327: relerr=5.727e-02 rdmerr=2.039e-01 mag=0.904 cdvmax= 1.35e-10 + slice= 328: relerr=5.555e-02 rdmerr=2.014e-01 mag=0.906 cdvmax= 1.39e-10 + slice= 329: relerr=5.459e-02 rdmerr=2.001e-01 mag=0.907 cdvmax= 1.44e-10 + slice= 330: relerr=5.505e-02 rdmerr=2.012e-01 mag=0.907 cdvmax= 1.49e-10 + slice= 331: relerr=5.742e-02 rdmerr=2.056e-01 mag=0.906 cdvmax= 1.55e-10 + slice= 332: relerr=6.160e-02 rdmerr=2.129e-01 mag=0.903 cdvmax= 1.62e-10 + slice= 333: relerr=6.690e-02 rdmerr=2.216e-01 mag=0.900 cdvmax= 1.69e-10 + slice= 334: relerr=7.248e-02 rdmerr=2.302e-01 mag=0.896 cdvmax= 1.77e-10 + slice= 335: relerr=7.758e-02 rdmerr=2.376e-01 mag=0.893 cdvmax= 1.86e-10 + slice= 336: relerr=8.158e-02 rdmerr=2.430e-01 mag=0.890 cdvmax= 1.96e-10 + slice= 337: relerr=8.399e-02 rdmerr=2.460e-01 mag=0.888 cdvmax= 2.06e-10 + slice= 338: relerr=8.448e-02 rdmerr=2.464e-01 mag=0.888 cdvmax= 2.17e-10 + slice= 339: relerr=8.291e-02 rdmerr=2.442e-01 mag=0.888 cdvmax= 2.25e-10 + slice= 340: relerr=7.950e-02 rdmerr=2.397e-01 mag=0.891 cdvmax= 2.32e-10 + slice= 341: relerr=7.483e-02 rdmerr=2.336e-01 mag=0.895 cdvmax= 2.36e-10 + slice= 342: relerr=6.967e-02 rdmerr=2.267e-01 mag=0.899 cdvmax= 2.36e-10 + slice= 343: relerr=6.468e-02 rdmerr=2.198e-01 mag=0.904 cdvmax= 2.32e-10 + slice= 344: relerr=6.017e-02 rdmerr=2.132e-01 mag=0.909 cdvmax= 2.24e-10 + slice= 345: relerr=5.614e-02 rdmerr=2.070e-01 mag=0.913 cdvmax= 2.14e-10 + slice= 346: relerr=5.258e-02 rdmerr=2.012e-01 mag=0.916 cdvmax= 2.03e-10 + slice= 347: relerr=4.959e-02 rdmerr=1.960e-01 mag=0.919 cdvmax= 1.91e-10 + slice= 348: relerr=4.762e-02 rdmerr=1.925e-01 mag=0.921 cdvmax= 1.79e-10 + slice= 349: relerr=4.735e-02 rdmerr=1.922e-01 mag=0.922 cdvmax= 1.68e-10 + slice= 350: relerr=4.938e-02 rdmerr=1.965e-01 mag=0.921 cdvmax= 1.57e-10 + slice= 351: relerr=5.392e-02 rdmerr=2.054e-01 mag=0.918 cdvmax= 1.47e-10 + slice= 352: relerr=6.093e-02 rdmerr=2.181e-01 mag=0.914 cdvmax= 1.38e-10 + slice= 353: relerr=7.000e-02 rdmerr=2.330e-01 mag=0.908 cdvmax= 1.29e-10 + slice= 354: relerr=8.039e-02 rdmerr=2.486e-01 mag=0.902 cdvmax= 1.22e-10 + slice= 355: relerr=9.106e-02 rdmerr=2.629e-01 mag=0.895 cdvmax= 1.19e-10 + slice= 356: relerr=1.008e-01 rdmerr=2.744e-01 mag=0.888 cdvmax= 1.26e-10 + slice= 357: relerr=1.080e-01 rdmerr=2.819e-01 mag=0.882 cdvmax= 1.34e-10 + slice= 358: relerr=1.115e-01 rdmerr=2.840e-01 mag=0.877 cdvmax= 1.43e-10 + slice= 359: relerr=1.103e-01 rdmerr=2.804e-01 mag=0.875 cdvmax= 1.52e-10 + slice= 360: relerr=1.047e-01 rdmerr=2.717e-01 mag=0.875 cdvmax= 1.62e-10 + slice= 361: relerr=9.723e-02 rdmerr=2.613e-01 mag=0.878 cdvmax= 1.72e-10 + slice= 362: relerr=9.265e-02 rdmerr=2.554e-01 mag=0.880 cdvmax= 1.80e-10 + slice= 363: relerr=9.484e-02 rdmerr=2.594e-01 mag=0.881 cdvmax= 1.86e-10 + slice= 364: relerr=1.017e-01 rdmerr=2.694e-01 mag=0.879 cdvmax= 1.90e-10 + slice= 365: relerr=1.070e-01 rdmerr=2.766e-01 mag=0.877 cdvmax= 1.91e-10 + slice= 366: relerr=1.074e-01 rdmerr=2.776e-01 mag=0.877 cdvmax= 1.91e-10 + slice= 367: relerr=1.021e-01 rdmerr=2.718e-01 mag=0.881 cdvmax= 1.90e-10 + slice= 368: relerr=9.154e-02 rdmerr=2.590e-01 mag=0.888 cdvmax= 1.88e-10 + slice= 369: relerr=7.801e-02 rdmerr=2.407e-01 mag=0.896 cdvmax= 1.84e-10 + slice= 370: relerr=6.720e-02 rdmerr=2.241e-01 mag=0.903 cdvmax= 1.77e-10 + slice= 371: relerr=6.823e-02 rdmerr=2.254e-01 mag=0.902 cdvmax= 1.67e-10 + slice= 372: relerr=8.494e-02 rdmerr=2.496e-01 mag=0.891 cdvmax= 1.55e-10 + slice= 373: relerr=1.115e-01 rdmerr=2.821e-01 mag=0.875 cdvmax= 1.41e-10 + slice= 374: relerr=1.407e-01 rdmerr=3.117e-01 mag=0.858 cdvmax= 1.28e-10 + slice= 375: relerr=1.675e-01 rdmerr=3.351e-01 mag=0.844 cdvmax= 1.42e-10 + slice= 376: relerr=1.896e-01 rdmerr=3.522e-01 mag=0.832 cdvmax= 1.61e-10 + slice= 377: relerr=2.064e-01 rdmerr=3.641e-01 mag=0.824 cdvmax= 1.75e-10 + slice= 378: relerr=2.183e-01 rdmerr=3.719e-01 mag=0.818 cdvmax= 1.84e-10 + slice= 379: relerr=2.253e-01 rdmerr=3.762e-01 mag=0.815 cdvmax= 1.89e-10 + slice= 380: relerr=2.276e-01 rdmerr=3.773e-01 mag=0.813 cdvmax= 1.89e-10 + slice= 381: relerr=2.245e-01 rdmerr=3.748e-01 mag=0.814 cdvmax= 1.86e-10 + slice= 382: relerr=2.152e-01 rdmerr=3.681e-01 mag=0.818 cdvmax= 1.78e-10 + slice= 383: relerr=1.987e-01 rdmerr=3.560e-01 mag=0.825 cdvmax= 1.67e-10 + slice= 384: relerr=1.753e-01 rdmerr=3.377e-01 mag=0.835 cdvmax= 1.52e-10 + slice= 385: relerr=1.473e-01 rdmerr=3.132e-01 mag=0.849 cdvmax= 1.52e-10 + slice= 386: relerr=1.203e-01 rdmerr=2.861e-01 mag=0.863 cdvmax= 1.62e-10 + slice= 387: relerr=1.017e-01 rdmerr=2.646e-01 mag=0.872 cdvmax= 1.74e-10 + slice= 388: relerr=9.772e-02 rdmerr=2.596e-01 mag=0.874 cdvmax= 1.83e-10 + slice= 389: relerr=1.083e-01 rdmerr=2.723e-01 mag=0.869 cdvmax= 1.90e-10 + slice= 390: relerr=1.278e-01 rdmerr=2.936e-01 mag=0.858 cdvmax= 1.96e-10 + slice= 391: relerr=1.514e-01 rdmerr=3.162e-01 mag=0.846 cdvmax= 2.00e-10 + slice= 392: relerr=1.760e-01 rdmerr=3.370e-01 mag=0.834 cdvmax= 2.05e-10 + slice= 393: relerr=1.991e-01 rdmerr=3.546e-01 mag=0.823 cdvmax= 2.12e-10 + slice= 394: relerr=2.191e-01 rdmerr=3.687e-01 mag=0.814 cdvmax= 2.17e-10 + slice= 395: relerr=2.351e-01 rdmerr=3.794e-01 mag=0.807 cdvmax= 2.19e-10 + slice= 396: relerr=2.469e-01 rdmerr=3.870e-01 mag=0.803 cdvmax= 2.18e-10 + slice= 397: relerr=2.550e-01 rdmerr=3.921e-01 mag=0.800 cdvmax= 2.14e-10 + slice= 398: relerr=2.601e-01 rdmerr=3.952e-01 mag=0.798 cdvmax= 2.09e-10 + slice= 399: relerr=2.629e-01 rdmerr=3.966e-01 mag=0.796 cdvmax= 2.11e-10 + slice= 400: relerr=2.639e-01 rdmerr=3.965e-01 mag=0.795 cdvmax= 2.14e-10 + slice= 401: relerr=2.629e-01 rdmerr=3.946e-01 mag=0.795 cdvmax= 2.15e-10 + slice= 402: relerr=2.595e-01 rdmerr=3.910e-01 mag=0.794 cdvmax= 2.14e-10 + slice= 403: relerr=2.538e-01 rdmerr=3.856e-01 mag=0.795 cdvmax= 2.13e-10 + slice= 404: relerr=2.457e-01 rdmerr=3.786e-01 mag=0.796 cdvmax= 2.09e-10 + slice= 405: relerr=2.358e-01 rdmerr=3.707e-01 mag=0.799 cdvmax= 2.06e-10 + slice= 406: relerr=2.246e-01 rdmerr=3.623e-01 mag=0.802 cdvmax= 2.02e-10 + slice= 407: relerr=2.129e-01 rdmerr=3.540e-01 mag=0.806 cdvmax= 2.02e-10 + slice= 408: relerr=2.013e-01 rdmerr=3.459e-01 mag=0.812 cdvmax= 2.10e-10 + slice= 409: relerr=1.902e-01 rdmerr=3.383e-01 mag=0.817 cdvmax= 2.18e-10 + slice= 410: relerr=1.796e-01 rdmerr=3.311e-01 mag=0.823 cdvmax= 2.24e-10 + slice= 411: relerr=1.697e-01 rdmerr=3.244e-01 mag=0.829 cdvmax= 2.27e-10 + slice= 412: relerr=1.602e-01 rdmerr=3.178e-01 mag=0.835 cdvmax= 2.26e-10 + slice= 413: relerr=1.506e-01 rdmerr=3.109e-01 mag=0.841 cdvmax= 2.22e-10 + slice= 414: relerr=1.405e-01 rdmerr=3.031e-01 mag=0.848 cdvmax= 2.14e-10 + slice= 415: relerr=1.296e-01 rdmerr=2.941e-01 mag=0.856 cdvmax= 2.02e-10 + slice= 416: relerr=1.178e-01 rdmerr=2.836e-01 mag=0.864 cdvmax= 1.87e-10 + slice= 417: relerr=1.055e-01 rdmerr=2.715e-01 mag=0.873 cdvmax= 1.80e-10 + slice= 418: relerr=9.330e-02 rdmerr=2.584e-01 mag=0.883 cdvmax= 1.75e-10 + slice= 419: relerr=8.200e-02 rdmerr=2.448e-01 mag=0.892 cdvmax= 1.69e-10 + slice= 420: relerr=7.210e-02 rdmerr=2.316e-01 mag=0.900 cdvmax= 1.64e-10 + stcdata from mft-SR and old calc agree. + calc(lf*w*lf.T) took total 97.06 s CPU-time ( 97.06 s walltime) + calc(lf*w*lf.T) took per call 115.14ms CPU-time ( 115.14ms walltime) + scan_cdm calls took total 13.46 s CPU-time ( 13.46 s walltime) + scan_cdm calls took per call 31.98ms CPU-time ( 31.98ms walltime) + iteration-loops took total 99.44 s CPU-time ( 99.44 s walltime) + iteration-loops took per call 236.21ms CPU-time ( 236.21ms walltime) + Total mft-call took total 114.57 s CPU-time ( 114.57 s walltime) + Reading /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/MEG/sample/sample_audvis-ave.fif ... + Read a total of 4 projection items: + PCA-v1 (1 x 102) active + PCA-v2 (1 x 102) active + PCA-v3 (1 x 102) active + Average EEG reference (1 x 60) active + Found the data of interest: + t = -199.80 ... 499.49 ms (Left Auditory) + 0 CTF compensation matrices available + nave = 55 - aspect type = 100 + Projections have already been applied. Setting proj attribute to True. + Applying baseline correction (mode: mean) + + ########## Some geo-numbers: + > Discriminating lh/rh by sign of fwdmag['source_rr'][:,0]: + > lhinds[0].shape[0] = 4019 rhinds[0].shape[0] = 3479 + > Discriminating lh/rh by sign of fwdmag['source_rr'][:,0] in MR coords: + > lhmrinds[0].shape[0] = 3683 rhmrinds[0].shape[0] = 3815 + ##### Plot global cdv-distribution at time of max |cdv|: + ##### Attempting to plot: + Using control points [3.00708386e-11 4.20599775e-11 2.59809284e-10] + Restricting peak search to [0.056321s, 0.126415s] + hemi=lh: setting time_idx=179 + hemi=lh: vertno_max=65847, time_idx=179 fwdmag['src'][0]['rr'][vertno_max] = [-0.06584128 -0.004577 0.05533493] + Coords of 85 sel. vfoci: + [[-0.05221788 -0.03346509 0.06036825] + [-0.05165888 -0.03042808 0.05684886] + [-0.06037505 -0.0148591 0.06778738] + [-0.05956738 -0.01993896 0.05989947] + [-0.05810761 -0.01746833 0.06137408] + [-0.05559965 -0.02279563 0.05411318] + [-0.05162871 -0.02445424 0.05008296] + [-0.05507403 -0.01856828 0.05606687] + [-0.05544074 -0.02301008 0.05068152] + [-0.06334512 -0.01249577 0.06401447] + [-0.06356833 -0.00704703 0.07010035] + [-0.06042004 -0.0128543 0.06169286] + [-0.05277534 -0.02323951 0.04555175] + [-0.06391217 -0.00266765 0.07154481] + [-0.05822342 -0.01302986 0.05753142] + [-0.06526204 -0.00397343 0.06845991] + [-0.05731033 -0.01529316 0.05215086] + [-0.05518322 -0.01966114 0.04717958] + [-0.06270633 -0.00037825 0.07245999] + [-0.06222399 -0.00173238 0.06969026] + [-0.06254483 -0.00723502 0.0624574 ] + [-0.05804549 -0.01710555 0.04854275] + [-0.05451035 -0.01855776 0.04546284] + [-0.06090023 -0.00734591 0.05830965] + [-0.06259613 -0.00916535 0.05736235] + [-0.05265293 -0.0195406 0.04238689] + [-0.06246542 0.00451022 0.07284792] + [-0.06441178 0.00063685 0.06797828] + [-0.06069167 -0.00271494 0.06271644] + [-0.05541283 -0.01438932 0.04761907] + [-0.05727952 -0.01583274 0.04435519] + [-0.0574455 -0.00830209 0.05446243] + [-0.06436403 0.00994094 0.0769663 ] + [-0.06584128 -0.004577 0.05533493] + [-0.06509028 0.00695492 0.07039952] + [-0.06122282 0.00680012 0.06918331] + [-0.06291312 0.00539421 0.0677986 ] + [-0.05831348 -0.00414252 0.05517064] + [-0.05595012 -0.01471979 0.03941236] + [-0.0619943 0.01110779 0.0740917 ] + [-0.06457973 -0.00438841 0.0521743 ] + [-0.05892569 0.00472497 0.06403713] + [-0.06141853 -0.0085813 0.04653249] + [-0.05853934 -0.00942768 0.04393688] + [-0.06426826 0.0118146 0.07147889] + [-0.06278531 0.00603971 0.06219249] + [-0.06270766 0.00231714 0.05790284] + [-0.05837754 -0.00276623 0.05094401] + [-0.06331829 0.00927553 0.06619504] + [-0.05958919 0.00339978 0.05925975] + [-0.06220526 -0.00055086 0.05197453] + [-0.05985865 0.00952238 0.06550267] + [-0.05802217 -0.00467423 0.04576429] + [-0.06096083 0.01429463 0.06971687] + [-0.06192993 0.00888413 0.06229569] + [-0.05817005 0.00491732 0.05770831] + [-0.06324161 0.0055867 0.05705221] + [-0.0654368 0.00843156 0.06171336] + [-0.06179408 -0.00424727 0.04233606] + [-0.06558349 0.02099591 0.07611846] + [-0.065399 0.01936645 0.07260523] + [-0.05832197 0.01063334 0.06181001] + [-0.05888368 0.00797649 0.0572428 ] + [-0.06353239 0.01807051 0.06882443] + [-0.0652 0.02135353 0.07228179] + [-0.06269591 0.020404 0.07152279] + [-0.0603111 0.01235984 0.05977618] + [-0.06367403 0.00940619 0.05694903] + [-0.05978378 0.01087931 0.05683902] + [-0.06230538 0.00159965 0.04329317] + [-0.06336229 0.01814829 0.06146637] + [-0.06224703 0.0089029 0.04949182] + [-0.05947538 0.01515045 0.05564103] + [-0.06336785 0.00832886 0.0442321 ] + [-0.0610097 0.02073968 0.06034119] + [-0.06272066 0.01820621 0.0581888 ] + [-0.06000874 0.01829859 0.05536602] + [-0.06220426 0.01591169 0.05146289] + [-0.06043307 0.01942751 0.05342115] + [-0.06437387 0.01372069 0.04576941] + [-0.06012897 0.02404409 0.05619702] + [-0.06151841 0.02250384 0.05405048] + [-0.06419193 0.01990641 0.04573996] + [-0.03231935 0.01677768 0.0205859 ] + [-0.04175461 0.04859786 0.01823568]] + vfoci: + [ 33367 39466 46869 47046 48163 48324 49525 50762 50834 51980 + 53220 53321 54895 55724 55949 56997 57273 57353 58164 58186 + 58311 58506 59744 60696 60711 60916 61660 61734 61817 62098 + 62153 63256 65453 65847 66818 66840 66892 67151 67359 68055 + 68465 69489 69798 69843 70674 70838 70909 71066 72032 72151 + 72272 73155 73461 74204 74333 74398 74403 75517 75825 76528 + 76592 76737 76814 77823 79020 79037 79216 79250 80543 80781 + 84126 84317 85477 87021 87987 88030 89279 89339 91691 91847 + 93922 93955 97425 112140 136522] + brain.geo[lh].coords[vfoci] : + [[-48.43240738 -51.60162354 3.80678225] + [-47.95785141 -47.07692719 2.70046329] + [-56.08766174 -40.89289093 20.9673748 ] + [-55.62060165 -40.41300964 11.57440567] + [-54.07886887 -39.25099564 14.15938282] + [-51.89396667 -39.32071304 5.07027102] + [-48.08757019 -38.27886581 0.68987209] + [-51.2466011 -37.02016068 9.10164928] + [-51.85765839 -37.49266052 2.15403461] + [-59.15716553 -36.80292892 19.38884163] + [-59.09834671 -35.92669296 27.5132103 ] + [-56.31969833 -35.71147537 17.19067574] + [-49.37601852 -34.66173553 -2.23901534] + [-59.33567047 -33.21443558 31.25098991] + [-54.27204895 -33.4060173 13.63180637] + [-60.80891418 -32.49020767 28.03402328] + [-53.57622147 -32.09870148 7.9122448 ] + [-51.67977905 -32.72773361 1.25451159] + [-58.06951523 -31.87602043 33.28531647] + [-57.70143127 -31.35654068 30.23042107] + [-58.34465027 -31.61328888 21.16308212] + [-54.45989609 -31.47487259 3.95324206] + [-51.05319595 -30.82375526 0.4801544 ] + [-56.84732819 -29.26879501 17.67279053] + [-58.59832764 -30.21156311 15.9038887 ] + [-49.31693268 -29.81036568 -2.65607524] + [-57.75285721 -28.12837791 36.44133759] + [-59.91722488 -28.45550919 30.30023003] + [-56.42605209 -28.07367706 23.94203186] + [-51.82663345 -28.70340157 4.69270039] + [-53.82434082 -27.99180794 1.26871705] + [-53.54143143 -27.76813889 13.86889458] + [-59.43716431 -26.13644218 43.01811218] + [-61.8534584 -25.33435631 17.0491333 ] + [-60.43016052 -24.74105644 35.97301865] + [-56.60977173 -24.11914062 34.75714874] + [-58.36516571 -24.47088051 32.87406921] + [-54.33102798 -24.81044769 16.89966393] + [-52.65413284 -24.19266319 -2.14223623] + [-57.15447998 -23.48890686 41.28016281] + [-60.70064926 -23.32588005 14.54839039] + [-54.52028656 -22.78180122 29.28799629] + [-57.791996 -23.41142273 7.41144705] + [-55.01616287 -22.55700684 4.70810604] + [-59.5090332 -21.41410255 39.65271378] + [-58.42482758 -20.67680359 28.69522285] + [-58.54441452 -21.19935417 23.04036903] + [-54.52497101 -21.2288208 14.27344131] + [-58.77648544 -20.38684845 33.84957123] + [-55.36693573 -21.07977104 24.66133118] + [-58.28581238 -20.06806374 16.53837585] + [-55.34025192 -19.74810028 33.30765533] + [-54.37493134 -19.75551605 8.94397736] + [-56.2337265 -18.3390274 39.54983902] + [-57.53014374 -18.41760826 30.40654945] + [-53.9835434 -18.92823982 24.23586655] + [-59.06596375 -18.05255699 24.27501488] + [-61.06067657 -18.48078537 29.79553413] + [-58.25841522 -17.44762611 6.54511786] + [-60.54431915 -16.67321396 48.81808472] + [-60.50334167 -15.94689846 45.00983429] + [-53.91931152 -16.67735863 30.90291023] + [-54.6739006 -16.17868042 25.66690826] + [-58.78647232 -14.77685165 41.11862183] + [-60.29040909 -14.14203358 45.89855576] + [-57.82663345 -14.44593334 44.63931274] + [-55.95600128 -14.10886478 30.32966423] + [-59.45294952 -14.89374638 26.43332481] + [-55.5504303 -13.59399891 27.06357193] + [-58.66136551 -13.26066399 10.74880219] + [-58.87225723 -10.42216015 35.18521881] + [-58.29357529 -10.94075489 20.03572464] + [-55.22954559 -9.42258739 28.56998825] + [-59.60446548 -8.35184479 15.47179413] + [-56.52748871 -7.63742304 35.69836807] + [-58.34469223 -8.45784473 32.53556824] + [-55.73197174 -6.7100172 30.20107269] + [-58.09262466 -6.39551067 25.71994591] + [-56.20946503 -4.66323709 29.29567528] + [-60.48736191 -4.87780428 19.89885139] + [-55.74980164 -2.5280261 34.22926712] + [-57.23283768 -2.54175591 31.63871384] + [-60.22764587 0.16648626 23.47442055] + [-29.29472733 12.60795689 0.09193631] + [-38.3994751 39.7348175 17.07160187]] + mrfoci: + [[-4.84324060e-02 -5.16016334e-02 3.80678102e-03] + [-4.79578525e-02 -4.70769368e-02 2.70046294e-03] + [-5.60876578e-02 -4.08929065e-02 2.09673755e-02] + [-5.56206070e-02 -4.04130183e-02 1.15744025e-02] + [-5.40788695e-02 -3.92510071e-02 1.41593851e-02] + [-5.18939719e-02 -3.93207222e-02 5.07027283e-03] + [-4.80875708e-02 -3.82788777e-02 6.89871609e-04] + [-5.12466021e-02 -3.70201729e-02 9.10165533e-03] + [-5.18576540e-02 -3.74926701e-02 2.15403736e-03] + [-5.91571741e-02 -3.68029401e-02 1.93888433e-02] + [-5.90983480e-02 -3.59267034e-02 2.75132060e-02] + [-5.63196987e-02 -3.57114822e-02 1.71906725e-02] + [-4.93760183e-02 -3.46617475e-02 -2.23901495e-03] + [-5.93356676e-02 -3.32144462e-02 3.12509872e-02] + [-5.42720482e-02 -3.34060267e-02 1.36318058e-02] + [-6.08089156e-02 -3.24902199e-02 2.80340165e-02] + [-5.35762198e-02 -3.20987105e-02 7.91224092e-03] + [-5.16797751e-02 -3.27277407e-02 1.25451013e-03] + [-5.80695160e-02 -3.18760350e-02 3.32853161e-02] + [-5.77014312e-02 -3.13565508e-02 3.02304197e-02] + [-5.83446510e-02 -3.16133015e-02 2.11630836e-02] + [-5.44598997e-02 -3.14748846e-02 3.95324454e-03] + [-5.10531999e-02 -3.08237635e-02 4.80148941e-04] + [-5.68473302e-02 -2.92688031e-02 1.76727884e-02] + [-5.85983284e-02 -3.02115716e-02 1.59038845e-02] + [-4.93169315e-02 -2.98103746e-02 -2.65607610e-03] + [-5.77528588e-02 -2.81283893e-02 3.64413373e-02] + [-5.99172264e-02 -2.84555200e-02 3.03002279e-02] + [-5.64260520e-02 -2.80736871e-02 2.39420291e-02] + [-5.18266335e-02 -2.87034102e-02 4.69269976e-03] + [-5.38243428e-02 -2.79918164e-02 1.26871839e-03] + [-5.35414331e-02 -2.77681462e-02 1.38688907e-02] + [-5.94371632e-02 -2.61364505e-02 4.30181026e-02] + [-6.18534423e-02 -2.53343657e-02 1.70491319e-02] + [-6.04301579e-02 -2.47410648e-02 3.59730162e-02] + [-5.66097759e-02 -2.41191536e-02 3.47571447e-02] + [-5.83651662e-02 -2.44708955e-02 3.28740701e-02] + [-5.43310270e-02 -2.48104576e-02 1.68996602e-02] + [-5.26541360e-02 -2.41926722e-02 -2.14223564e-03] + [-5.71544841e-02 -2.34889183e-02 4.12801579e-02] + [-6.07006475e-02 -2.33258884e-02 1.45483911e-02] + [-5.45202829e-02 -2.27818098e-02 2.92879902e-02] + [-5.77919967e-02 -2.34114304e-02 7.41144642e-03] + [-5.50161600e-02 -2.25570165e-02 4.70810756e-03] + [-5.95090315e-02 -2.14141160e-02 3.96527126e-02] + [-5.84248304e-02 -2.06768103e-02 2.86952183e-02] + [-5.85444197e-02 -2.11993661e-02 2.30403710e-02] + [-5.45249693e-02 -2.12288294e-02 1.42734405e-02] + [-5.87764904e-02 -2.03868560e-02 3.38495672e-02] + [-5.53669371e-02 -2.10797805e-02 2.46613286e-02] + [-5.82858175e-02 -2.00680718e-02 1.65383723e-02] + [-5.53402528e-02 -1.97481103e-02 3.33076492e-02] + [-5.43749295e-02 -1.97555255e-02 8.94398056e-03] + [-5.62337264e-02 -1.83390342e-02 3.95498350e-02] + [-5.75301424e-02 -1.84176154e-02 3.04065440e-02] + [-5.39835468e-02 -1.89282484e-02 2.42358651e-02] + [-5.90659641e-02 -1.80525668e-02 2.42750123e-02] + [-6.10606857e-02 -1.84807926e-02 2.97955330e-02] + [-5.82584143e-02 -1.74476318e-02 6.54511526e-03] + [-6.05443157e-02 -1.66732222e-02 4.88180816e-02] + [-6.05033338e-02 -1.59469079e-02 4.50098291e-02] + [-5.39193079e-02 -1.66773684e-02 3.09029073e-02] + [-5.46738990e-02 -1.61786899e-02 2.56669037e-02] + [-5.87864704e-02 -1.47768632e-02 4.11186181e-02] + [-6.02903962e-02 -1.41420439e-02 4.58985493e-02] + [-5.78266382e-02 -1.44459419e-02 4.46393043e-02] + [-5.59560061e-02 -1.41088739e-02 3.03296614e-02] + [-5.94529510e-02 -1.48937572e-02 2.64333244e-02] + [-5.55504300e-02 -1.35940090e-02 2.70635691e-02] + [-5.86613603e-02 -1.32606737e-02 1.07488036e-02] + [-5.88722527e-02 -1.04221664e-02 3.51852104e-02] + [-5.82935736e-02 -1.09407641e-02 2.00357251e-02] + [-5.52295484e-02 -9.42259282e-03 2.85699815e-02] + [-5.96044697e-02 -8.35184939e-03 1.54717900e-02] + [-5.65274879e-02 -7.63743185e-03 3.56983617e-02] + [-5.83446957e-02 -8.45785439e-03 3.25355642e-02] + [-5.57319708e-02 -6.71002269e-03 3.02010700e-02] + [-5.80926239e-02 -6.39551692e-03 2.57199425e-02] + [-5.62094674e-02 -4.66324575e-03 2.92956717e-02] + [-6.04873598e-02 -4.87781130e-03 1.98988486e-02] + [-5.57498038e-02 -2.52803415e-03 3.42292637e-02] + [-5.72328418e-02 -2.54176185e-03 3.16387117e-02] + [-6.02276437e-02 1.66481361e-04 2.34744176e-02] + [-2.92947274e-02 1.26079544e-02 9.19327140e-05] + [-3.83994728e-02 3.97348106e-02 1.70715936e-02]] + Using control points [3.00708386e-11 4.20599775e-11 2.59809284e-10] + Restricting peak search to [0.056321s, 0.126415s] + hemi=rh: setting time_idx=166 + hemi=rh: vertno_max=74023, time_idx=166 fwdmag['src'][1]['rr'][vertno_max] = [0.05914929 0.00447339 0.06403542] + Coords of 111 sel. vfoci: + [[ 0.04637452 -0.03171578 0.05736641] + [ 0.05001705 -0.0237452 0.05336216] + [ 0.0557147 -0.01893066 0.05745132] + [ 0.05702459 0.00134557 0.08183767] + [ 0.05468201 -0.01423394 0.06106813] + [ 0.04955434 -0.02378454 0.04849362] + [ 0.0573594 -0.00621381 0.07134716] + [ 0.05531158 -0.01547165 0.05728069] + [ 0.05703703 -0.00240109 0.07459717] + [ 0.05663053 0.00125449 0.07689011] + [ 0.05686765 0.00359351 0.0778486 ] + [ 0.05420443 -0.00290217 0.07077227] + [ 0.05660006 -0.01546482 0.05285852] + [ 0.05597477 0.00737029 0.08328098] + [ 0.05683677 -0.00361293 0.06665149] + [ 0.05911811 -0.00625189 0.06353887] + [ 0.05475879 -0.00982541 0.05850631] + [ 0.05636159 0.00925498 0.08454897] + [ 0.05664868 0.00184802 0.07375114] + [ 0.05326024 -0.00320508 0.06552282] + [ 0.05277025 0.00080743 0.06981316] + [ 0.05768983 -0.01134231 0.05314442] + [ 0.05654064 0.00072792 0.0688354 ] + [ 0.05818428 -0.0008454 0.06639174] + [ 0.05454247 -0.00072896 0.06588857] + [ 0.05587555 -0.00365012 0.06187031] + [ 0.0529318 0.00751801 0.07617799] + [ 0.05529394 -0.01292111 0.04655696] + [ 0.05469877 0.01244704 0.08193647] + [ 0.05603044 0.01070924 0.0777896 ] + [ 0.05875313 -0.00928638 0.0505205 ] + [ 0.05590473 0.01566401 0.08431348] + [ 0.05290839 0.01044466 0.07692005] + [ 0.05969121 -0.00303575 0.05891492] + [ 0.05382621 0.01469879 0.08084695] + [ 0.05446039 0.00275315 0.0641256 ] + [ 0.05775101 0.00054935 0.06231766] + [ 0.05463942 -0.00190177 0.05939485] + [ 0.05619552 0.01318399 0.07656814] + [ 0.05162844 0.00500985 0.06489728] + [ 0.05914929 0.00447339 0.06403542] + [ 0.05583973 0.01723643 0.08203269] + [ 0.05256623 0.00739242 0.06772509] + [ 0.05585835 0.00628411 0.06594321] + [ 0.05345647 0.00258941 0.06098271] + [ 0.05744181 0.00139171 0.05991215] + [ 0.05608665 0.01025145 0.06806099] + [ 0.05116246 0.0067652 0.06236797] + [ 0.05589276 0.00560439 0.06140892] + [ 0.05661179 0.00033765 0.05354568] + [ 0.05633099 0.02366001 0.08408166] + [ 0.05306562 0.01157254 0.06724711] + [ 0.05754129 0.00026005 0.05147186] + [ 0.05309663 0.02290636 0.08137353] + [ 0.05774352 0.00897786 0.0633969 ] + [ 0.05319898 0.01797339 0.0741209 ] + [ 0.05379343 0.00998463 0.06272583] + [ 0.0585574 0.00548254 0.05523842] + [ 0.05535952 0.02327001 0.07925963] + [ 0.05153436 0.02113917 0.07715705] + [ 0.05701783 0.02536513 0.0811323 ] + [ 0.05226732 0.02142814 0.07449565] + [ 0.0556734 0.02117843 0.07495094] + [ 0.05656576 0.01495685 0.06641981] + [ 0.05690998 0.00427506 0.05191976] + [ 0.05728656 0.01302685 0.06291556] + [ 0.05630287 0.0115414 0.05935233] + [ 0.05453796 0.01477805 0.06353374] + [ 0.05477505 0.03021234 0.08237767] + [ 0.05491369 0.02610103 0.0756853 ] + [ 0.0568556 0.02859878 0.07771474] + [ 0.05882093 0.0139387 0.05839629] + [ 0.05353135 0.02957022 0.07858599] + [ 0.05132953 0.0258851 0.07331657] + [ 0.05160657 0.02489453 0.07005846] + [ 0.05753745 0.01760002 0.06117298] + [ 0.05373858 0.01454833 0.05663643] + [ 0.05805075 0.01032661 0.05101746] + [ 0.05313308 0.02192569 0.06631492] + [ 0.05393163 0.01814095 0.05986736] + [ 0.05882676 0.00825154 0.0454256 ] + [ 0.05472762 0.02751706 0.07121584] + [ 0.05643714 0.02472616 0.06847369] + [ 0.05421724 0.02393026 0.0649477 ] + [ 0.05547509 0.01807293 0.05635956] + [ 0.05455136 0.03154987 0.0736661 ] + [ 0.05468236 0.03007395 0.07022032] + [ 0.05492845 0.02682583 0.06737075] + [ 0.05490409 0.0367039 0.07854986] + [ 0.05253711 0.02479323 0.06208773] + [ 0.05711082 0.02100779 0.05765961] + [ 0.05788029 0.01492589 0.04795371] + [ 0.05384301 0.02847289 0.06238653] + [ 0.05654073 0.02137214 0.05409509] + [ 0.05413472 0.04071983 0.07636385] + [ 0.05348815 0.03455604 0.06611638] + [ 0.05579954 0.03904402 0.06983521] + [ 0.05277987 0.04371793 0.06963617] + [ 0.05239152 0.04695462 0.06200442] + [ 0.0501029 0.05379676 0.06334559] + [ 0.04990916 0.05681937 0.05939721] + [ 0.04369019 0.03509033 0.02603228] + [ 0.03618928 0.03778169 0.0235756 ] + [ 0.04928497 0.06183408 0.0566591 ] + [ 0.04099792 0.0449847 0.03052889] + [ 0.03644444 0.0438809 0.0282862 ] + [ 0.03423465 0.03968946 0.02077591] + [ 0.03484627 0.04595066 0.02361936] + [ 0.03773479 0.05878955 0.033275 ] + [ 0.03777767 0.06524758 0.03106527] + [ 0.05165713 0.04738813 0.07676858]] + vfoci: + [ 42055 53787 56147 57025 57380 57594 58626 58820 59838 60980 + 62190 62286 62619 63374 63641 63718 63774 64720 64887 65038 + 66418 66704 67791 67872 67875 67968 68949 69447 70017 70096 + 70553 71256 71405 71688 72580 72785 72843 72911 73863 74014 + 74023 75007 75246 75284 75362 75390 77698 77778 77805 77963 + 78806 79017 79362 80200 80496 81603 81783 81916 82747 82792 + 83930 84005 84024 84117 84420 85393 85449 86573 87524 87582 + 88709 89000 89950 90020 90071 90183 90253 90367 91463 91543 + 91810 92563 92623 93818 93930 94771 94820 94897 95867 96080 + 96127 97357 99205 99324 101157 102414 103484 107905 115230 120600 + 125450 126634 130187 130703 131895 131919 132862 136289 139939 144074 + 156649] + brain.geo[rh].coords[vfoci] : + [[ 50.0094986 -47.445961 -1.13841844] + [ 53.61149597 -38.59974289 0.12738703] + [ 59.50933075 -37.01550674 6.04938221] + [ 61.92796707 -34.74737167 37.61742783] + [ 58.66348267 -35.31881714 11.76014042] + [ 52.97871017 -35.79791641 -3.83085942] + [ 61.80003357 -34.76925659 24.68335724] + [ 59.14466476 -34.10994339 7.94175529] + [ 61.63994217 -33.56978607 29.55561638] + [ 61.36037827 -31.94083214 33.56241989] + [ 61.66061783 -30.59704399 35.69549561] + [ 58.66942978 -31.77519798 26.260149 ] + [ 60.27803421 -31.51336098 4.31007385] + [ 61.0060997 -30.70479965 42.33869171] + [ 61.14709473 -29.92389488 22.40670586] + [ 63.28457642 -30.2303257 18.26009941] + [ 58.70706177 -30.24297523 12.24789715] + [ 61.46094894 -29.90906334 44.45279312] + [ 61.27654648 -29.62842369 31.3598175 ] + [ 57.53885651 -28.97023773 21.85629272] + [ 57.25010681 -28.21665192 27.69548225] + [ 61.42963028 -28.32001495 6.90638351] + [ 60.98276901 -27.67355347 26.72052193] + [ 62.51992035 -27.51064301 23.76098251] + [ 58.86455536 -27.15905952 23.55075836] + [ 60.0192337 -27.17623329 18.53845215] + [ 57.71926498 -26.47408104 36.76809311] + [ 58.78538895 -25.78602219 0.72460747] + [ 59.74884796 -25.80931473 44.25251389] + [ 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12.46813774] + [ 39.53892136 28.61273575 12.31138706] + [ 54.08689499 28.99581146 52.71860504] + [ 44.67878342 30.45868111 21.98241997] + [ 40.03610229 30.82398796 19.68148994] + [ 37.51229477 31.77534485 11.22092247] + [ 38.30260086 35.21031952 17.15710831] + [ 41.68986511 40.04022598 32.37586594] + [ 41.73801422 46.57546616 34.34539032] + [ 56.9747963 5.5595479 60.53557205]] + mrfoci: + [[ 0.0500095 -0.04744597 -0.00113842] + [ 0.05361149 -0.03859975 0.00012739] + [ 0.05950932 -0.03701551 0.00604938] + [ 0.06192796 -0.03474738 0.03761742] + [ 0.05866348 -0.03531883 0.01176014] + [ 0.05297871 -0.03579792 -0.00383086] + [ 0.06180003 -0.03476926 0.02468336] + [ 0.05914466 -0.03410995 0.00794176] + [ 0.06163994 -0.03356979 0.02955562] + [ 0.06136037 -0.03194084 0.03356242] + [ 0.06166061 -0.03059705 0.03569549] + [ 0.05866943 -0.03177521 0.02626015] + [ 0.06027803 -0.03151337 0.00431008] + [ 0.0610061 -0.03070481 0.04233869] + [ 0.06114709 -0.0299239 0.0224067 ] + [ 0.06328457 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0.06095348 -0.0219631 0.04708177] + [ 0.05705739 -0.02165166 0.0298466 ] + [ 0.06027091 -0.02148033 0.02763631] + [ 0.05765046 -0.02161389 0.02154191] + [ 0.0615804 -0.02192297 0.01983208] + [ 0.06062358 -0.01948965 0.03165996] + [ 0.05545964 -0.01905198 0.02518273] + [ 0.0601384 -0.01938866 0.02355827] + [ 0.06051536 -0.01907588 0.01407955] + [ 0.06159785 -0.01793421 0.05247204] + [ 0.05759308 -0.01797206 0.03187757] + [ 0.06137086 -0.01792058 0.0123177 ] + [ 0.05826162 -0.01699992 0.0499502 ] + [ 0.06210029 -0.01778857 0.0270723 ] + [ 0.05804788 -0.01677812 0.04118376] + [ 0.05814237 -0.01661887 0.02725585] + [ 0.06258433 -0.0158636 0.01838319] + [ 0.06045382 -0.01544947 0.04836533] + [ 0.05653075 -0.01599295 0.04555333] + [ 0.06220307 -0.01482261 0.05104742] + [ 0.05717402 -0.01419925 0.04353526] + [ 0.06059045 -0.01463355 0.04363736] + [ 0.06110512 -0.01470535 0.03305367] + [ 0.06080684 -0.0149262 0.01504443] + [ 0.06167853 -0.01422309 0.02905831] + [ 0.06055222 -0.01336231 0.02533524] + [ 0.05897573 -0.01318826 0.03067934] + [ 0.06006713 -0.01163317 0.05496427] + [ 0.0599197 -0.01107013 0.04713029] + [ 0.06196295 -0.01020473 0.0501642 ] + [ 0.06306577 -0.01083221 0.02586661] + [ 0.05868379 -0.00995667 0.05155668] + [ 0.0562526 -0.00990034 0.04520995] + [ 0.05640313 -0.00880282 0.04197792] + [ 0.06192678 -0.00948938 0.03030081] + [ 0.0579333 -0.00936167 0.02497537] + [ 0.06199255 -0.00947246 0.01779896] + [ 0.05776007 -0.00901696 0.03715389] + [ 0.05828479 -0.00832475 0.02968539] + [ 0.06254642 -0.0078904 0.01202252] + [ 0.05959586 -0.00731586 0.0443345 ] + [ 0.06117291 -0.00796743 0.04042051] + [ 0.05882135 -0.00658051 0.03717387] + [ 0.05970392 -0.00631952 0.02674317] + [ 0.05955668 -0.00546987 0.04868067] + [ 0.05954852 -0.00465868 0.04501859] + [ 0.05965357 -0.0056337 0.04080324] + [ 0.06014535 -0.00412647 0.05563684] + [ 0.05705359 -0.00422882 0.03541559] + [ 0.06142133 -0.00467683 0.02945079] + [ 0.06177399 -0.00395149 0.01799934] + [ 0.05841597 -0.0014006 0.03775647] + [ 0.0607319 -0.00230837 0.02679021] + [ 0.05935147 0.00040288 0.05623105] + [ 0.05826912 0.00136329 0.04434294] + [ 0.06076594 0.00286432 0.04989515] + [ 0.05780105 0.00674732 0.05256633] + [ 0.05718796 0.01382232 0.04827225] + [ 0.05503502 0.01857614 0.05343146] + [ 0.05474221 0.02333172 0.05199547] + [ 0.04708604 0.02506889 0.01246813] + [ 0.03953892 0.02861273 0.01231138] + [ 0.05408689 0.02899581 0.05271859] + [ 0.04467878 0.03045868 0.02198241] + [ 0.0400361 0.03082399 0.01968148] + [ 0.03751229 0.03177534 0.01122092] + [ 0.0383026 0.03521032 0.0171571 ] + [ 0.04168987 0.04004022 0.03237585] + [ 0.04173801 0.04657546 0.03434538] + [ 0.05697479 0.00555954 0.06053557]] + Using control points [3.00708386e-11 4.20599775e-11 2.59809284e-10] + Restricting peak search to [0.056321s, 0.126415s] + hemi=both: setting time_idx=179 + ##### Plot cdv-distribution: + ##### Attempting to plot max. amplitude data: + ##### Attempting to plot max. cdv data: + ##### Attempting to cdvsum data: + ##### Attempting to plot quality data: + ##### Attempting to plot cdm data for labels: + Labels with largest avg(cdm): + 1 bankssts-lh lh: avg(cdm) = 0.9773 + 10 entorhinal-rh rh: avg(cdm) = 0.9821 + 11 frontalpole-lh lh: avg(cdm) = 0.9908 + 12 frontalpole-rh rh: avg(cdm) = 0.9856 + 28 lingual-rh rh: avg(cdm) = 0.9760 + 44 pericalcarine-rh rh: avg(cdm) = 0.9801 + 65 temporalpole-lh lh: avg(cdm) = 0.9746 + 66 temporalpole-rh rh: avg(cdm) = 0.9819 + 67 transversetemporal-lh lh: avg(cdm) = 0.9860 + 68 transversetemporal-rh rh: avg(cdm) = 0.9813 + ##### Attempting to plot cdm data: + ##### Attempting to plot jlong data for labels: + Labels with largest max(jlong): + 1 bankssts-lh lh: max(jlong) = 6.6365e-09 + 17 inferiortemporal-lh lh: max(jlong) = 7.6365e-09 + 24 lateraloccipital-rh rh: max(jlong) = 5.8892e-09 + 31 middletemporal-lh lh: max(jlong) = 6.8833e-09 + 46 postcentral-rh rh: max(jlong) = 7.4084e-09 + 49 precentral-lh lh: max(jlong) = 6.5606e-09 + 61 superiortemporal-lh lh: max(jlong) = 1.0901e-08 + 62 superiortemporal-rh rh: max(jlong) = 1.2315e-08 + 63 supramarginal-lh lh: max(jlong) = 7.1945e-09 + 64 supramarginal-rh rh: max(jlong) = 1.0633e-08 + ##### Attempting to plot jtotal data for labels: + Labels with largest max(jtotal): + 1 bankssts-lh lh: max(jtotal) = 6.7046e-09 + 17 inferiortemporal-lh lh: max(jtotal) = 9.0545e-09 + 31 middletemporal-lh lh: max(jtotal) = 7.2356e-09 + 32 middletemporal-rh rh: max(jtotal) = 7.6369e-09 + 46 postcentral-rh rh: max(jtotal) = 7.4814e-09 + 49 precentral-lh lh: max(jtotal) = 7.1207e-09 + 61 superiortemporal-lh lh: max(jtotal) = 1.1334e-08 + 62 superiortemporal-rh rh: max(jtotal) = 1.3731e-08 + 63 supramarginal-lh lh: max(jtotal) = 8.1880e-09 + 64 supramarginal-rh rh: max(jtotal) = 1.0756e-08 + ##### Attempting to plot jlong data: + Done. + + + + + + +| + +.. code-block:: default + + + import os + import os.path as op + import numpy as np + + import mne + from mne.datasets import sample + + from jumeg.mft import apply_mft + from jumeg.mft import jumeg_mft_plot + + data_path = sample.data_path() + subject = 'sample' + subjects_dir = op.join(data_path, 'subjects') + fwdname = op.join(data_path, 'MEG/sample/sample_audvis-meg-oct-6-fwd.fif') + lblname = 'aparc' + evoname = op.join(data_path, 'MEG/sample/sample_audvis-ave.fif') + evocondition = 'Left Auditory' + rawname = op.join(data_path, 'MEG/sample/sample_audvis_10s-raw.fif') + t1_fname = op.join(subjects_dir, 'sample/mri/T1.mgz') + + # Set up pick list: MEG - bad channels + want_meg = 'mag' + want_ref = False + want_eeg = False + want_stim = False + exclude = 'bads' + include = [] + + print("########## MFT parameters:") + # mftpar = { 'prbfct':'Gauss', + # 'prbcnt':np.array([[-1.039, 0.013,0.062],[-0.039, 0.013,0.062]]), + # 'prbhw':np.array([[0.040,0.040,0.040],[0.040,0.040,0.040]]) } + mftpar = {'prbfct': 'uniform', + 'prbcnt': None, + 'prbhw': None} + mftpar.update({'iter': 2, 'currexp': 1.0}) + mftpar.update({'regtype': 'PzetaE', 'zetareg': 1.00}) + # mftpar.update({ 'regtype':'classic', 'zetareg':1.0}) + mftpar.update({'solver': 'lu', 'svrelcut': 5.e-4}) + + print("mftpar['prbcnt' ] = ", mftpar['prbcnt']) + print("mftpar['prbhw' ] = ", mftpar['prbhw']) + print("mftpar['iter' ] = ", mftpar['iter']) + print("mftpar['regtype' ] = ", mftpar['regtype']) + print("mftpar['zetareg' ] = ", mftpar['zetareg']) + print("mftpar['solver' ] = ", mftpar['solver']) + print("mftpar['svrelcut'] = ", mftpar['svrelcut']) + cdmcut = 0.10 + print("cdmcut = ", cdmcut) + + print("########## get labels:") + if lblname is not None: + labels = mne.read_labels_from_annot(subject, parc=lblname, + subjects_dir=subjects_dir) + else: + labels = None + + print("##########################") + print("##### Calling apply_mft()") + print("##########################") + fwd = mne.read_forward_solution(fwdname, verbose=True) + fwdspec = mne.io.pick.pick_types_forward(fwd, meg=want_meg, ref_meg=False, + eeg=False, exclude=exclude) + dataspec = mne.read_evokeds(evoname, condition=evocondition, + baseline=(None, 0), verbose=True) + fwdmag, qualmft, stc_mft = apply_mft(fwdspec, dataspec, evocondition=evocondition, + subject=subject, meg=want_meg, save_stc=False, + calccdm='all', cdmcut=cdmcut, cdmlabels=labels, + mftpar=mftpar, verbose='verbose') + + evo = mne.read_evokeds(evoname, condition=evocondition, baseline=(None, 0)) + tmin = -0.2 + tstep = 1. / evo.info['sfreq'] + + stcdata = stc_mft.data + + print(" ") + print("########## Some geo-numbers:") + lhinds = np.where(fwdmag['source_rr'][:, 0] <= 0.) + rhinds = np.where(fwdmag['source_rr'][:, 0] > 0.) + print("> Discriminating lh/rh by sign of fwdmag['source_rr'][:,0]:") + print("> lhinds[0].shape[0] = ", lhinds[0].shape[0], " rhinds[0].shape[0] = ", rhinds[0].shape[0]) + invmri_head_t = mne.transforms.invert_transform(fwdmag['info']['mri_head_t']) + mrsrc = np.zeros(fwdmag['source_rr'].shape) + mrsrc = mne.transforms.apply_trans(invmri_head_t['trans'], fwdmag['source_rr'], move=True) + lhmrinds = np.where(mrsrc[:, 0] <= 0.) + rhmrinds = np.where(mrsrc[:, 0] > 0.) + print("> Discriminating lh/rh by sign of fwdmag['source_rr'][:,0] in MR coords:") + print("> lhmrinds[0].shape[0] = ", lhmrinds[0].shape[0], " rhmrinds[0].shape[0] = ", rhmrinds[0].shape[0]) + + # plotting routines + jumeg_mft_plot.plot_global_cdv_dist(stcdata) + jumeg_mft_plot.plot_visualize_mft_sources(fwdmag, stcdata, tmin=tmin, tstep=tstep, + subject=subject, subjects_dir=subjects_dir) + jumeg_mft_plot.plot_cdv_distribution(fwdmag, stcdata) + jumeg_mft_plot.plot_max_amplitude_data(fwdmag, stcdata, tmin=tmin, tstep=tstep, + subject=subject) + jumeg_mft_plot.plot_max_cdv_data(stc_mft, lhmrinds, rhmrinds) + jumeg_mft_plot.plot_cdvsum_data(stc_mft, lhmrinds, rhmrinds) + jumeg_mft_plot.plot_quality_data(qualmft, stc_mft) + jumeg_mft_plot.plot_cdm_data(qualmft, stc_mft, cdmlabels=labels) + jumeg_mft_plot.plot_jlong_labeldata(qualmft, stc_mft, labels) + jumeg_mft_plot.plot_jtotal_labeldata(qualmft, stc_mft, labels) + + jumeg_mft_plot.plot_jlong_data(qualmft, stc_mft) + + print("Done.") + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 1 minutes 59.761 seconds) + + +.. _sphx_glr_download_auto_examples_mft_plot_perform_mft_surface.py: + +.. only:: html + + .. container:: sphx-glr-footer sphx-glr-footer-example + + + + + .. container:: sphx-glr-download sphx-glr-download-python + + :download:`Download Python source code: plot_perform_mft_surface.py ` + + .. container:: sphx-glr-download sphx-glr-download-jupyter + + :download:`Download Jupyter notebook: plot_perform_mft_surface.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/build/html/_sources/auto_examples/mft/plot_perform_mft_surface_list.rst.txt b/docs/build/html/_sources/auto_examples/mft/plot_perform_mft_surface_list.rst.txt new file mode 100644 index 00000000..7df2a9d4 --- /dev/null +++ b/docs/build/html/_sources/auto_examples/mft/plot_perform_mft_surface_list.rst.txt @@ -0,0 +1,1300 @@ + +.. DO NOT EDIT. +.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. +.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: +.. "auto_examples/mft/plot_perform_mft_surface_list.py" +.. LINE NUMBERS ARE GIVEN BELOW. + +.. only:: html + + .. note:: + :class: sphx-glr-download-link-note + + :ref:`Go to the end ` + to download the full example code + +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_mft_plot_perform_mft_surface_list.py: + + +==================== +Jumeg MFT example. +==================== + +Perform MFT on a surface based forward solution. + +.. GENERATED FROM PYTHON SOURCE LINES 8-138 + + + + +.. rst-class:: sphx-glr-script-out + + .. code-block:: none + + ########## MFT parameters: + mftpar['prbcnt' ] = [[ 0.039 0.013 0.062] + [-0.039 0.013 0.062]] + mftpar['prbhw' ] = [[0.04 0.04 0.04] + [0.04 0.04 0.04]] + mftpar['iter' ] = 2 + mftpar['regtype' ] = PzetaE + mftpar['zetareg' ] = 1.0 + mftpar['solver' ] = lu + mftpar['svrelcut'] = 0.0005 + cdmcut = 0.1 + ########## get labels: + Reading labels from parcellation... + read 34 labels from /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/subjects/sample/label/lh.aparc.annot + read 34 labels from /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/subjects/sample/label/rh.aparc.annot + ########################## + ##### Calling apply_mft() + ########################## + meg-channels = mag + exclude-channels = bads + mftpar['iter' ] = 2 + mftpar['currexp' ] = 1.0 + mftpar['regtype' ] = pzetae + mftpar['zetareg' ] = 1.0 + mftpar['solver' ] = lu + mftpar['svrelcut'] = 0.0005 + mftpar['prbfct' ] = gauss + mftpar['prbcnt' ] = [[ 0.039 0.013 0.062] + [-0.039 0.013 0.062]] + mftpar['prbhw' ] = [[0.04 0.04 0.04] + [0.04 0.04 0.04]] + pos(prbcnt[1]) = [0.039 0.013 0.062] + dhw(prbdhw[1]) = [0.04 0.04 0.04] + pos(prbcnt[2]) = [-0.039 0.013 0.062] + dhw(prbdhw[2]) = [0.04 0.04 0.04] + mftpar['prbxfm' ] = None + calccdm = 'all' with rel. cut = 0.10 + Reading forward solution from /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/MEG/sample/sample_audvis-meg-oct-6-fwd.fif... + Reading a source space... + Computing patch statistics... + Patch information added... + Distance information added... + [done] + Reading a source space... + Computing patch statistics... + Patch information added... + Distance information added... + [done] + 2 source spaces read + Desired named matrix (kind = 3523) not available + Read MEG forward solution (7498 sources, 306 channels, free orientations) + Source spaces transformed to the forward solution coordinate frame + 102 out of 306 channels remain after picking + Leadfield size : n_sen x n_loc = 102 x 22494 + Number of source spaces = 2 + ########## Searching for label(s) in source space(s)... + 1 bankssts-lh lh: 1604 verts 49 used + 2 bankssts-rh rh: 1555 verts 43 used + 3 caudalanteriorcingulate-lh lh: 1277 verts 41 used + 4 caudalanteriorcingulate-rh rh: 1982 verts 56 used + 5 caudalmiddlefrontal-lh lh: 3810 verts 90 used + 6 caudalmiddlefrontal-rh rh: 3994 verts 96 used + 7 cuneus-lh lh: 2545 verts 37 used + 8 cuneus-rh rh: 2479 verts 34 used + 9 entorhinal-lh lh: 726 verts 21 used + 10 entorhinal-rh rh: 571 verts 14 used + 11 frontalpole-lh lh: 350 verts 6 used + 12 frontalpole-rh rh: 483 verts 8 used + 13 fusiform-lh lh: 5209 verts 130 used + 14 fusiform-rh rh: 4843 verts 119 used + 15 inferiorparietal-lh lh: 7839 verts 177 used + 16 inferiorparietal-rh rh: 8562 verts 184 used + 17 inferiortemporal-lh lh: 6363 verts 108 used + 18 inferiortemporal-rh rh: 5554 verts 106 used + 19 insula-lh lh: 3471 verts 115 used + 20 insula-rh rh: 3909 verts 143 used + 21 isthmuscingulate-lh lh: 2210 verts 95 used + 22 isthmuscingulate-rh rh: 2169 verts 106 used + 23 lateraloccipital-lh lh: 7446 verts 87 used + 24 lateraloccipital-rh rh: 7995 verts 92 used + 25 lateralorbitofrontal-lh lh: 4268 verts 96 used + 26 lateralorbitofrontal-rh rh: 4412 verts 104 used + 27 lingual-lh lh: 4758 verts 92 used + 28 lingual-rh rh: 4705 verts 90 used + 29 medialorbitofrontal-lh lh: 3683 verts 89 used + 30 medialorbitofrontal-rh rh: 3103 verts 60 used + 31 middletemporal-lh lh: 5695 verts 81 used + 32 middletemporal-rh rh: 6424 verts 101 used + 33 paracentral-lh lh: 2215 verts 56 used + 34 paracentral-rh rh: 2728 verts 61 used + 35 parahippocampal-lh lh: 1434 verts 52 used + 36 parahippocampal-rh rh: 934 verts 40 used + 37 parsopercularis-lh lh: 2758 verts 62 used + 38 parsopercularis-rh rh: 2299 verts 46 used + 39 parsorbitalis-lh lh: 1024 verts 21 used + 40 parsorbitalis-rh rh: 1270 verts 23 used + 41 parstriangularis-lh lh: 1818 verts 40 used + 42 parstriangularis-rh rh: 2251 verts 56 used + 43 pericalcarine-lh lh: 2270 verts 25 used + 44 pericalcarine-rh rh: 2359 verts 30 used + 45 postcentral-lh lh: 7542 verts 204 used + 46 postcentral-rh rh: 7413 verts 190 used + 47 posteriorcingulate-lh lh: 2132 verts 90 used + 48 posteriorcingulate-rh rh: 2434 verts 102 used + 50 precentral-rh rh: 9389 verts 249 used + 51 precuneus-lh lh: 5969 verts 158 used + 52 precuneus-rh rh: 6632 verts 179 used + 53 rostralanteriorcingulate-lh lh: 1864 verts 41 used + 54 rostralanteriorcingulate-rh rh: 1404 verts 27 used + 55 rostralmiddlefrontal-lh lh: 11598 verts 242 used + 56 rostralmiddlefrontal-rh rh: 11791 verts 230 used + 58 superiorfrontal-rh rh: 12505 verts 276 used + 59 superiorparietal-lh lh: 9662 verts 246 used + 60 superiorparietal-rh rh: 9564 verts 249 used + 61 superiortemporal-lh lh: 5433 verts 129 used + 62 superiortemporal-rh rh: 5404 verts 142 used + 63 supramarginal-lh lh: 6100 verts 171 used + 64 supramarginal-rh rh: 5872 verts 195 used + 65 temporalpole-lh lh: 726 verts 21 used + 66 temporalpole-rh rh: 503 verts 14 used + 67 transversetemporal-lh lh: 770 verts 22 used + 68 transversetemporal-rh rh: 733 verts 20 used + --> sums: 295372 verts 7027 used + prep. labels took 18.543 ms (0.019 s walltime) + Reading evoked data from /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/MEG/sample/sample_audvis-ave.fif + Reading /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/MEG/sample/sample_audvis-ave.fif ... + Read a total of 4 projection items: + PCA-v1 (1 x 102) active + PCA-v2 (1 x 102) active + PCA-v3 (1 x 102) active + Average EEG reference (1 x 60) active + Found the data of interest: + t = -199.80 ... 499.49 ms (Left Auditory) + 0 CTF compensation matrices available + nave = 55 - aspect type = 100 + Projections have already been applied. Setting proj attribute to True. + Applying baseline correction (mode: mean) + ########## Calculate initial prob-dist: + calc(wdist0) took 0.378 ms (0.000 s walltime) + ########## Calculate P-matrix, incl. weights: + calc(lf*w*lf.T) took 116.6670419999889 ms (0.117 s walltime) + ln(condno) = -117.197, K_H = 10^( -50.898) = 0.000 + (K_H < 0.01 : bad, K_H > 0.1 : good) + ########## Create stc data and qual data arrays: + Reading 421 slices of data to calc. cdv: + Reading forward solution from /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/MEG/sample/sample_audvis-meg-oct-6-fwd.fif... + Reading a source space... + Computing patch statistics... + Patch information added... + Distance information added... + [done] + Reading a source space... + Computing patch statistics... + Patch information added... + Distance information added... + [done] + 2 source spaces read + Desired named matrix (kind = 3523) not available + Read MEG forward solution (7498 sources, 306 channels, free orientations) + Source spaces transformed to the forward solution coordinate frame + 102 out of 306 channels remain after picking + ##### Results: + slice= 0: relerr=1.791e-01 rdmerr=3.540e-01 mag=0.849 cdvmax= 8.11e-11 + slice= 1: relerr=2.165e-01 rdmerr=3.827e-01 mag=0.832 cdvmax= 8.68e-11 + slice= 2: relerr=2.766e-01 rdmerr=4.205e-01 mag=0.807 cdvmax= 8.88e-11 + slice= 3: relerr=3.480e-01 rdmerr=4.567e-01 mag=0.779 cdvmax= 8.42e-11 + slice= 4: relerr=4.063e-01 rdmerr=4.826e-01 mag=0.760 cdvmax= 7.35e-11 + slice= 5: relerr=4.154e-01 rdmerr=4.893e-01 mag=0.760 cdvmax= 6.45e-11 + slice= 6: relerr=3.843e-01 rdmerr=4.793e-01 mag=0.772 cdvmax= 7.04e-11 + slice= 7: relerr=3.434e-01 rdmerr=4.620e-01 mag=0.788 cdvmax= 7.18e-11 + slice= 8: relerr=3.096e-01 rdmerr=4.443e-01 mag=0.800 cdvmax= 7.01e-11 + slice= 9: relerr=2.873e-01 rdmerr=4.299e-01 mag=0.806 cdvmax= 6.69e-11 + slice= 10: relerr=2.761e-01 rdmerr=4.200e-01 mag=0.807 cdvmax= 6.49e-11 + slice= 11: relerr=2.754e-01 rdmerr=4.152e-01 mag=0.802 cdvmax= 6.45e-11 + slice= 12: relerr=2.845e-01 rdmerr=4.156e-01 mag=0.794 cdvmax= 6.59e-11 + slice= 13: relerr=3.037e-01 rdmerr=4.217e-01 mag=0.783 cdvmax= 6.92e-11 + slice= 14: relerr=3.336e-01 rdmerr=4.337e-01 mag=0.770 cdvmax= 7.40e-11 + slice= 15: relerr=3.750e-01 rdmerr=4.518e-01 mag=0.755 cdvmax= 7.95e-11 + slice= 16: relerr=4.285e-01 rdmerr=4.759e-01 mag=0.741 cdvmax= 8.47e-11 + slice= 17: relerr=4.925e-01 rdmerr=5.043e-01 mag=0.726 cdvmax= 8.83e-11 + slice= 18: relerr=5.606e-01 rdmerr=5.333e-01 mag=0.713 cdvmax= 8.90e-11 + slice= 19: relerr=6.190e-01 rdmerr=5.567e-01 mag=0.703 cdvmax= 8.57e-11 + slice= 20: relerr=6.473e-01 rdmerr=5.681e-01 mag=0.699 cdvmax= 7.81e-11 + slice= 21: relerr=6.243e-01 rdmerr=5.626e-01 mag=0.705 cdvmax= 6.67e-11 + slice= 22: relerr=5.422e-01 rdmerr=5.370e-01 mag=0.725 cdvmax= 5.57e-11 + slice= 23: relerr=4.220e-01 rdmerr=4.913e-01 mag=0.757 cdvmax= 5.77e-11 + slice= 24: relerr=2.971e-01 rdmerr=4.288e-01 mag=0.796 cdvmax= 5.73e-11 + slice= 25: relerr=1.960e-01 rdmerr=3.591e-01 mag=0.832 cdvmax= 5.49e-11 + slice= 26: relerr=1.412e-01 rdmerr=3.095e-01 mag=0.854 cdvmax= 5.08e-11 + slice= 27: relerr=1.492e-01 rdmerr=3.197e-01 mag=0.854 cdvmax= 4.63e-11 + slice= 28: relerr=2.159e-01 rdmerr=3.804e-01 mag=0.830 cdvmax= 4.80e-11 + slice= 29: relerr=3.150e-01 rdmerr=4.472e-01 mag=0.798 cdvmax= 5.22e-11 + slice= 30: relerr=4.162e-01 rdmerr=4.992e-01 mag=0.768 cdvmax= 6.98e-11 + slice= 31: relerr=5.014e-01 rdmerr=5.348e-01 mag=0.745 cdvmax= 9.39e-11 + slice= 32: relerr=5.654e-01 rdmerr=5.578e-01 mag=0.729 cdvmax= 1.17e-10 + slice= 33: relerr=6.109e-01 rdmerr=5.721e-01 mag=0.718 cdvmax= 1.37e-10 + slice= 34: relerr=6.421e-01 rdmerr=5.806e-01 mag=0.710 cdvmax= 1.53e-10 + slice= 35: relerr=6.618e-01 rdmerr=5.852e-01 mag=0.705 cdvmax= 1.64e-10 + slice= 36: relerr=6.718e-01 rdmerr=5.868e-01 mag=0.702 cdvmax= 1.70e-10 + slice= 37: relerr=6.727e-01 rdmerr=5.857e-01 mag=0.700 cdvmax= 1.70e-10 + slice= 38: relerr=6.649e-01 rdmerr=5.819e-01 mag=0.701 cdvmax= 1.64e-10 + slice= 39: relerr=6.480e-01 rdmerr=5.750e-01 mag=0.703 cdvmax= 1.55e-10 + slice= 40: relerr=6.205e-01 rdmerr=5.644e-01 mag=0.708 cdvmax= 1.43e-10 + slice= 41: relerr=5.785e-01 rdmerr=5.482e-01 mag=0.715 cdvmax= 1.27e-10 + slice= 42: relerr=5.163e-01 rdmerr=5.230e-01 mag=0.727 cdvmax= 1.05e-10 + slice= 43: relerr=4.298e-01 rdmerr=4.828e-01 mag=0.745 cdvmax= 7.63e-11 + slice= 44: relerr=3.292e-01 rdmerr=4.237e-01 mag=0.765 cdvmax= 6.70e-11 + slice= 45: relerr=2.666e-01 rdmerr=3.746e-01 mag=0.774 cdvmax= 7.86e-11 + slice= 46: relerr=2.737e-01 rdmerr=3.801e-01 mag=0.773 cdvmax= 7.67e-11 + slice= 47: relerr=3.037e-01 rdmerr=4.116e-01 mag=0.774 cdvmax= 6.61e-11 + slice= 48: relerr=3.360e-01 rdmerr=4.410e-01 mag=0.774 cdvmax= 7.36e-11 + slice= 49: relerr=3.636e-01 rdmerr=4.624e-01 mag=0.772 cdvmax= 9.42e-11 + slice= 50: relerr=3.785e-01 rdmerr=4.742e-01 mag=0.772 cdvmax= 1.11e-10 + slice= 51: relerr=3.813e-01 rdmerr=4.784e-01 mag=0.774 cdvmax= 1.25e-10 + slice= 52: relerr=3.767e-01 rdmerr=4.784e-01 mag=0.777 cdvmax= 1.35e-10 + slice= 53: relerr=3.693e-01 rdmerr=4.765e-01 mag=0.781 cdvmax= 1.42e-10 + slice= 54: relerr=3.629e-01 rdmerr=4.747e-01 mag=0.784 cdvmax= 1.45e-10 + slice= 55: relerr=3.597e-01 rdmerr=4.744e-01 mag=0.787 cdvmax= 1.45e-10 + slice= 56: relerr=3.614e-01 rdmerr=4.763e-01 mag=0.787 cdvmax= 1.43e-10 + slice= 57: relerr=3.688e-01 rdmerr=4.808e-01 mag=0.786 cdvmax= 1.40e-10 + slice= 58: relerr=3.824e-01 rdmerr=4.880e-01 mag=0.782 cdvmax= 1.34e-10 + slice= 59: relerr=4.020e-01 rdmerr=4.975e-01 mag=0.776 cdvmax= 1.27e-10 + slice= 60: relerr=4.268e-01 rdmerr=5.084e-01 mag=0.769 cdvmax= 1.19e-10 + slice= 61: relerr=4.549e-01 rdmerr=5.198e-01 mag=0.760 cdvmax= 1.08e-10 + slice= 62: relerr=4.813e-01 rdmerr=5.296e-01 mag=0.752 cdvmax= 9.46e-11 + slice= 63: relerr=4.983e-01 rdmerr=5.354e-01 mag=0.747 cdvmax= 7.86e-11 + slice= 64: relerr=4.950e-01 rdmerr=5.341e-01 mag=0.748 cdvmax= 6.04e-11 + slice= 65: relerr=4.616e-01 rdmerr=5.218e-01 mag=0.758 cdvmax= 6.24e-11 + slice= 66: relerr=3.945e-01 rdmerr=4.936e-01 mag=0.778 cdvmax= 6.24e-11 + slice= 67: relerr=3.070e-01 rdmerr=4.473e-01 mag=0.805 cdvmax= 6.39e-11 + slice= 68: relerr=2.333e-01 rdmerr=3.963e-01 mag=0.827 cdvmax= 6.34e-11 + slice= 69: relerr=2.162e-01 rdmerr=3.786e-01 mag=0.828 cdvmax= 6.07e-11 + slice= 70: relerr=2.519e-01 rdmerr=3.983e-01 mag=0.809 cdvmax= 6.04e-11 + slice= 71: relerr=3.139e-01 rdmerr=4.310e-01 mag=0.783 cdvmax= 6.12e-11 + slice= 72: relerr=3.826e-01 rdmerr=4.624e-01 mag=0.759 cdvmax= 6.48e-11 + slice= 73: relerr=4.465e-01 rdmerr=4.886e-01 mag=0.740 cdvmax= 7.58e-11 + slice= 74: relerr=4.987e-01 rdmerr=5.089e-01 mag=0.726 cdvmax= 8.50e-11 + slice= 75: relerr=5.348e-01 rdmerr=5.230e-01 mag=0.718 cdvmax= 9.34e-11 + slice= 76: relerr=5.526e-01 rdmerr=5.310e-01 mag=0.715 cdvmax= 9.56e-11 + slice= 77: relerr=5.508e-01 rdmerr=5.329e-01 mag=0.718 cdvmax= 9.16e-11 + slice= 78: relerr=5.271e-01 rdmerr=5.279e-01 mag=0.726 cdvmax= 8.21e-11 + slice= 79: relerr=4.788e-01 rdmerr=5.139e-01 mag=0.741 cdvmax= 6.90e-11 + slice= 80: relerr=4.060e-01 rdmerr=4.876e-01 mag=0.764 cdvmax= 5.33e-11 + slice= 81: relerr=3.190e-01 rdmerr=4.482e-01 mag=0.795 cdvmax= 3.83e-11 + slice= 82: relerr=2.428e-01 rdmerr=4.041e-01 mag=0.825 cdvmax= 3.15e-11 + slice= 83: relerr=2.033e-01 rdmerr=3.766e-01 mag=0.843 cdvmax= 2.50e-11 + slice= 84: relerr=2.080e-01 rdmerr=3.819e-01 mag=0.843 cdvmax= 2.14e-11 + slice= 85: relerr=2.378e-01 rdmerr=4.055e-01 mag=0.833 cdvmax= 2.39e-11 + slice= 86: relerr=2.704e-01 rdmerr=4.276e-01 mag=0.821 cdvmax= 2.61e-11 + slice= 87: relerr=2.978e-01 rdmerr=4.439e-01 mag=0.811 cdvmax= 2.81e-11 + slice= 88: relerr=3.167e-01 rdmerr=4.541e-01 mag=0.803 cdvmax= 2.96e-11 + slice= 89: relerr=3.278e-01 rdmerr=4.587e-01 mag=0.798 cdvmax= 3.06e-11 + slice= 90: relerr=3.345e-01 rdmerr=4.588e-01 mag=0.792 cdvmax= 3.09e-11 + slice= 91: relerr=3.436e-01 rdmerr=4.583e-01 mag=0.784 cdvmax= 3.05e-11 + slice= 92: relerr=3.578e-01 rdmerr=4.610e-01 mag=0.776 cdvmax= 2.93e-11 + slice= 93: relerr=3.802e-01 rdmerr=4.691e-01 mag=0.766 cdvmax= 2.73e-11 + slice= 94: relerr=4.137e-01 rdmerr=4.822e-01 mag=0.755 cdvmax= 2.69e-11 + slice= 95: relerr=4.485e-01 rdmerr=4.942e-01 mag=0.743 cdvmax= 2.59e-11 + slice= 96: relerr=4.710e-01 rdmerr=5.003e-01 mag=0.735 cdvmax= 3.06e-11 + slice= 97: relerr=4.717e-01 rdmerr=4.982e-01 mag=0.733 cdvmax= 3.89e-11 + slice= 98: relerr=4.440e-01 rdmerr=4.868e-01 mag=0.740 cdvmax= 6.11e-11 + slice= 99: relerr=3.901e-01 rdmerr=4.656e-01 mag=0.756 cdvmax= 8.96e-11 + slice= 100: relerr=3.278e-01 rdmerr=4.379e-01 mag=0.778 cdvmax= 1.22e-10 + slice= 101: relerr=2.816e-01 rdmerr=4.139e-01 mag=0.795 cdvmax= 1.55e-10 + slice= 102: relerr=2.646e-01 rdmerr=4.035e-01 mag=0.801 cdvmax= 1.81e-10 + slice= 103: relerr=2.735e-01 rdmerr=4.077e-01 mag=0.797 cdvmax= 1.99e-10 + slice= 104: relerr=2.978e-01 rdmerr=4.209e-01 mag=0.787 cdvmax= 2.07e-10 + slice= 105: relerr=3.236e-01 rdmerr=4.343e-01 mag=0.778 cdvmax= 2.07e-10 + slice= 106: relerr=3.387e-01 rdmerr=4.415e-01 mag=0.773 cdvmax= 1.99e-10 + slice= 107: relerr=3.332e-01 rdmerr=4.377e-01 mag=0.774 cdvmax= 1.86e-10 + slice= 108: relerr=3.019e-01 rdmerr=4.185e-01 mag=0.782 cdvmax= 1.67e-10 + slice= 109: relerr=2.546e-01 rdmerr=3.854e-01 mag=0.794 cdvmax= 1.44e-10 + slice= 110: relerr=2.271e-01 rdmerr=3.610e-01 mag=0.798 cdvmax= 1.18e-10 + slice= 111: relerr=2.432e-01 rdmerr=3.676e-01 mag=0.789 cdvmax= 9.72e-11 + slice= 112: relerr=3.122e-01 rdmerr=4.130e-01 mag=0.769 cdvmax= 7.83e-11 + slice= 113: relerr=4.325e-01 rdmerr=4.783e-01 mag=0.740 cdvmax= 6.00e-11 + slice= 114: relerr=5.671e-01 rdmerr=5.319e-01 mag=0.709 cdvmax= 4.93e-11 + slice= 115: relerr=6.903e-01 rdmerr=5.683e-01 mag=0.682 cdvmax= 5.57e-11 + slice= 116: relerr=7.981e-01 rdmerr=5.940e-01 mag=0.661 cdvmax= 7.41e-11 + slice= 117: relerr=8.872e-01 rdmerr=6.129e-01 mag=0.644 cdvmax= 8.88e-11 + slice= 118: relerr=9.516e-01 rdmerr=6.263e-01 mag=0.634 cdvmax= 1.00e-10 + slice= 119: relerr=9.861e-01 rdmerr=6.345e-01 mag=0.629 cdvmax= 1.09e-10 + slice= 120: relerr=9.885e-01 rdmerr=6.374e-01 mag=0.630 cdvmax= 1.14e-10 + slice= 121: relerr=9.611e-01 rdmerr=6.350e-01 mag=0.636 cdvmax= 1.16e-10 + slice= 122: relerr=9.098e-01 rdmerr=6.277e-01 mag=0.646 cdvmax= 1.12e-10 + slice= 123: relerr=8.418e-01 rdmerr=6.161e-01 mag=0.660 cdvmax= 1.02e-10 + slice= 124: relerr=7.634e-01 rdmerr=6.007e-01 mag=0.676 cdvmax= 9.14e-11 + slice= 125: relerr=6.781e-01 rdmerr=5.812e-01 mag=0.695 cdvmax= 8.49e-11 + slice= 126: relerr=5.866e-01 rdmerr=5.561e-01 mag=0.717 cdvmax= 8.82e-11 + slice= 127: relerr=4.892e-01 rdmerr=5.230e-01 mag=0.742 cdvmax= 8.87e-11 + slice= 128: relerr=3.912e-01 rdmerr=4.806e-01 mag=0.769 cdvmax= 8.49e-11 + slice= 129: relerr=3.027e-01 rdmerr=4.323e-01 mag=0.794 cdvmax= 8.76e-11 + slice= 130: relerr=2.331e-01 rdmerr=3.849e-01 mag=0.815 cdvmax= 9.85e-11 + slice= 131: relerr=1.946e-01 rdmerr=3.541e-01 mag=0.828 cdvmax= 1.04e-10 + slice= 132: relerr=1.894e-01 rdmerr=3.507e-01 mag=0.831 cdvmax= 1.07e-10 + slice= 133: relerr=2.059e-01 rdmerr=3.667e-01 mag=0.828 cdvmax= 1.13e-10 + slice= 134: relerr=2.311e-01 rdmerr=3.892e-01 mag=0.822 cdvmax= 1.20e-10 + slice= 135: relerr=2.547e-01 rdmerr=4.095e-01 mag=0.818 cdvmax= 1.26e-10 + slice= 136: relerr=2.698e-01 rdmerr=4.229e-01 mag=0.816 cdvmax= 1.45e-10 + slice= 137: relerr=2.735e-01 rdmerr=4.281e-01 mag=0.818 cdvmax= 1.72e-10 + slice= 138: relerr=2.660e-01 rdmerr=4.254e-01 mag=0.823 cdvmax= 2.01e-10 + slice= 139: relerr=2.495e-01 rdmerr=4.158e-01 mag=0.831 cdvmax= 2.29e-10 + slice= 140: relerr=2.263e-01 rdmerr=4.001e-01 mag=0.841 cdvmax= 2.54e-10 + slice= 141: relerr=1.985e-01 rdmerr=3.787e-01 mag=0.852 cdvmax= 2.74e-10 + slice= 142: relerr=1.678e-01 rdmerr=3.514e-01 mag=0.864 cdvmax= 2.86e-10 + slice= 143: relerr=1.363e-01 rdmerr=3.186e-01 mag=0.875 cdvmax= 2.88e-10 + slice= 144: relerr=1.078e-01 rdmerr=2.830e-01 mag=0.884 cdvmax= 2.80e-10 + slice= 145: relerr=9.052e-02 rdmerr=2.561e-01 mag=0.886 cdvmax= 2.62e-10 + slice= 146: relerr=9.717e-02 rdmerr=2.589e-01 mag=0.875 cdvmax= 2.40e-10 + slice= 147: relerr=1.528e-01 rdmerr=3.121e-01 mag=0.839 cdvmax= 2.38e-10 + slice= 148: relerr=2.545e-01 rdmerr=3.833e-01 mag=0.792 cdvmax= 2.66e-10 + slice= 149: relerr=3.155e-01 rdmerr=4.199e-01 mag=0.772 cdvmax= 3.09e-10 + slice= 150: relerr=3.121e-01 rdmerr=4.255e-01 mag=0.780 cdvmax= 3.61e-10 + slice= 151: relerr=2.813e-01 rdmerr=4.154e-01 mag=0.797 cdvmax= 4.25e-10 + slice= 152: relerr=2.467e-01 rdmerr=3.991e-01 mag=0.815 cdvmax= 4.86e-10 + slice= 153: relerr=2.155e-01 rdmerr=3.808e-01 mag=0.831 cdvmax= 5.42e-10 + slice= 154: relerr=1.888e-01 rdmerr=3.624e-01 mag=0.845 cdvmax= 5.90e-10 + slice= 155: relerr=1.662e-01 rdmerr=3.445e-01 mag=0.857 cdvmax= 6.38e-10 + slice= 156: relerr=1.468e-01 rdmerr=3.274e-01 mag=0.868 cdvmax= 6.76e-10 + slice= 157: relerr=1.297e-01 rdmerr=3.108e-01 mag=0.877 cdvmax= 7.06e-10 + slice= 158: relerr=1.144e-01 rdmerr=2.943e-01 mag=0.886 cdvmax= 7.30e-10 + slice= 159: relerr=1.001e-01 rdmerr=2.776e-01 mag=0.894 cdvmax= 7.50e-10 + slice= 160: relerr=8.673e-02 rdmerr=2.603e-01 mag=0.903 cdvmax= 7.67e-10 + slice= 161: relerr=7.403e-02 rdmerr=2.421e-01 mag=0.911 cdvmax= 7.82e-10 + slice= 162: relerr=6.210e-02 rdmerr=2.230e-01 mag=0.918 cdvmax= 8.16e-10 + slice= 163: relerr=5.113e-02 rdmerr=2.034e-01 mag=0.926 cdvmax= 8.56e-10 + slice= 164: relerr=4.141e-02 rdmerr=1.837e-01 mag=0.932 cdvmax= 8.96e-10 + slice= 165: relerr=3.328e-02 rdmerr=1.650e-01 mag=0.939 cdvmax= 9.32e-10 + slice= 166: relerr=2.705e-02 rdmerr=1.488e-01 mag=0.944 cdvmax= 9.67e-10 + slice= 167: relerr=2.289e-02 rdmerr=1.369e-01 mag=0.947 cdvmax= 9.87e-10 + slice= 168: relerr=2.074e-02 rdmerr=1.305e-01 mag=0.950 cdvmax= 9.91e-10 + slice= 169: relerr=2.029e-02 rdmerr=1.294e-01 mag=0.951 cdvmax= 9.76e-10 + slice= 170: relerr=2.101e-02 rdmerr=1.321e-01 mag=0.951 cdvmax= 9.47e-10 + slice= 171: relerr=2.230e-02 rdmerr=1.363e-01 mag=0.950 cdvmax= 9.08e-10 + slice= 172: relerr=2.359e-02 rdmerr=1.402e-01 mag=0.949 cdvmax= 8.56e-10 + slice= 173: relerr=2.442e-02 rdmerr=1.424e-01 mag=0.948 cdvmax= 7.99e-10 + slice= 174: relerr=2.450e-02 rdmerr=1.421e-01 mag=0.947 cdvmax= 8.05e-10 + slice= 175: relerr=2.382e-02 rdmerr=1.394e-01 mag=0.946 cdvmax= 8.68e-10 + slice= 176: relerr=2.257e-02 rdmerr=1.347e-01 mag=0.945 cdvmax= 9.18e-10 + slice= 177: relerr=2.108e-02 rdmerr=1.291e-01 mag=0.945 cdvmax= 9.53e-10 + slice= 178: relerr=1.977e-02 rdmerr=1.240e-01 mag=0.944 cdvmax= 9.74e-10 + slice= 179: relerr=1.896e-02 rdmerr=1.205e-01 mag=0.944 cdvmax= 9.81e-10 + slice= 180: relerr=1.883e-02 rdmerr=1.195e-01 mag=0.943 cdvmax= 9.76e-10 + slice= 181: relerr=1.935e-02 rdmerr=1.209e-01 mag=0.942 cdvmax= 9.62e-10 + slice= 182: relerr=2.034e-02 rdmerr=1.239e-01 mag=0.940 cdvmax= 9.40e-10 + slice= 183: relerr=2.154e-02 rdmerr=1.276e-01 mag=0.939 cdvmax= 9.12e-10 + slice= 184: relerr=2.279e-02 rdmerr=1.313e-01 mag=0.938 cdvmax= 8.81e-10 + slice= 185: relerr=2.412e-02 rdmerr=1.351e-01 mag=0.936 cdvmax= 8.49e-10 + slice= 186: relerr=2.581e-02 rdmerr=1.399e-01 mag=0.935 cdvmax= 8.16e-10 + slice= 187: relerr=2.839e-02 rdmerr=1.470e-01 mag=0.933 cdvmax= 7.83e-10 + slice= 188: relerr=3.249e-02 rdmerr=1.577e-01 mag=0.930 cdvmax= 7.49e-10 + slice= 189: relerr=3.853e-02 rdmerr=1.723e-01 mag=0.926 cdvmax= 7.16e-10 + slice= 190: relerr=4.643e-02 rdmerr=1.897e-01 mag=0.921 cdvmax= 6.82e-10 + slice= 191: relerr=5.554e-02 rdmerr=2.076e-01 mag=0.916 cdvmax= 6.47e-10 + slice= 192: relerr=6.481e-02 rdmerr=2.241e-01 mag=0.910 cdvmax= 6.13e-10 + slice= 193: relerr=7.323e-02 rdmerr=2.378e-01 mag=0.906 cdvmax= 5.79e-10 + slice= 194: relerr=8.013e-02 rdmerr=2.481e-01 mag=0.902 cdvmax= 5.45e-10 + slice= 195: relerr=8.504e-02 rdmerr=2.545e-01 mag=0.898 cdvmax= 5.11e-10 + slice= 196: relerr=8.793e-02 rdmerr=2.569e-01 mag=0.894 cdvmax= 4.75e-10 + slice= 197: relerr=9.006e-02 rdmerr=2.569e-01 mag=0.888 cdvmax= 4.37e-10 + slice= 198: relerr=9.429e-02 rdmerr=2.583e-01 mag=0.880 cdvmax= 3.93e-10 + slice= 199: relerr=1.040e-01 rdmerr=2.651e-01 mag=0.868 cdvmax= 3.42e-10 + slice= 200: relerr=1.207e-01 rdmerr=2.782e-01 mag=0.852 cdvmax= 2.83e-10 + slice= 201: relerr=1.417e-01 rdmerr=2.943e-01 mag=0.837 cdvmax= 2.33e-10 + slice= 202: relerr=1.605e-01 rdmerr=3.091e-01 mag=0.825 cdvmax= 2.78e-10 + slice= 203: relerr=1.707e-01 rdmerr=3.192e-01 mag=0.822 cdvmax= 3.24e-10 + slice= 204: relerr=1.698e-01 rdmerr=3.221e-01 mag=0.826 cdvmax= 3.67e-10 + slice= 205: relerr=1.602e-01 rdmerr=3.176e-01 mag=0.835 cdvmax= 4.03e-10 + slice= 206: relerr=1.466e-01 rdmerr=3.082e-01 mag=0.844 cdvmax= 4.32e-10 + slice= 207: relerr=1.337e-01 rdmerr=2.971e-01 mag=0.852 cdvmax= 4.53e-10 + slice= 208: relerr=1.246e-01 rdmerr=2.884e-01 mag=0.858 cdvmax= 4.66e-10 + slice= 209: relerr=1.209e-01 rdmerr=2.848e-01 mag=0.860 cdvmax= 4.74e-10 + slice= 210: relerr=1.227e-01 rdmerr=2.870e-01 mag=0.859 cdvmax= 4.79e-10 + slice= 211: relerr=1.282e-01 rdmerr=2.935e-01 mag=0.857 cdvmax= 4.80e-10 + slice= 212: relerr=1.353e-01 rdmerr=3.016e-01 mag=0.855 cdvmax= 4.79e-10 + slice= 213: relerr=1.414e-01 rdmerr=3.087e-01 mag=0.853 cdvmax= 4.79e-10 + slice= 214: relerr=1.448e-01 rdmerr=3.131e-01 mag=0.853 cdvmax= 4.79e-10 + slice= 215: relerr=1.446e-01 rdmerr=3.140e-01 mag=0.854 cdvmax= 4.79e-10 + slice= 216: relerr=1.411e-01 rdmerr=3.116e-01 mag=0.857 cdvmax= 4.78e-10 + slice= 217: relerr=1.348e-01 rdmerr=3.064e-01 mag=0.862 cdvmax= 4.73e-10 + slice= 218: relerr=1.268e-01 rdmerr=2.992e-01 mag=0.867 cdvmax= 4.64e-10 + slice= 219: relerr=1.184e-01 rdmerr=2.909e-01 mag=0.872 cdvmax= 4.52e-10 + slice= 220: relerr=1.103e-01 rdmerr=2.823e-01 mag=0.877 cdvmax= 4.35e-10 + slice= 221: relerr=1.034e-01 rdmerr=2.743e-01 mag=0.882 cdvmax= 4.09e-10 + slice= 222: relerr=9.793e-02 rdmerr=2.676e-01 mag=0.885 cdvmax= 3.77e-10 + slice= 223: relerr=9.438e-02 rdmerr=2.629e-01 mag=0.886 cdvmax= 3.39e-10 + slice= 224: relerr=9.300e-02 rdmerr=2.606e-01 mag=0.886 cdvmax= 2.96e-10 + slice= 225: relerr=9.408e-02 rdmerr=2.610e-01 mag=0.885 cdvmax= 2.56e-10 + slice= 226: relerr=9.793e-02 rdmerr=2.646e-01 mag=0.881 cdvmax= 2.27e-10 + slice= 227: relerr=1.046e-01 rdmerr=2.711e-01 mag=0.875 cdvmax= 1.98e-10 + slice= 228: relerr=1.137e-01 rdmerr=2.796e-01 mag=0.867 cdvmax= 1.95e-10 + slice= 229: relerr=1.242e-01 rdmerr=2.889e-01 mag=0.859 cdvmax= 1.95e-10 + slice= 230: relerr=1.354e-01 rdmerr=2.979e-01 mag=0.850 cdvmax= 1.93e-10 + slice= 231: relerr=1.465e-01 rdmerr=3.059e-01 mag=0.842 cdvmax= 1.90e-10 + slice= 232: relerr=1.573e-01 rdmerr=3.129e-01 mag=0.834 cdvmax= 1.89e-10 + slice= 233: relerr=1.681e-01 rdmerr=3.189e-01 mag=0.825 cdvmax= 1.87e-10 + slice= 234: relerr=1.790e-01 rdmerr=3.245e-01 mag=0.817 cdvmax= 1.89e-10 + slice= 235: relerr=1.897e-01 rdmerr=3.299e-01 mag=0.810 cdvmax= 2.02e-10 + slice= 236: relerr=1.996e-01 rdmerr=3.353e-01 mag=0.804 cdvmax= 2.12e-10 + slice= 237: relerr=2.076e-01 rdmerr=3.406e-01 mag=0.800 cdvmax= 2.17e-10 + slice= 238: relerr=2.126e-01 rdmerr=3.451e-01 mag=0.799 cdvmax= 2.19e-10 + slice= 239: relerr=2.140e-01 rdmerr=3.480e-01 mag=0.800 cdvmax= 2.20e-10 + slice= 240: relerr=2.118e-01 rdmerr=3.485e-01 mag=0.803 cdvmax= 2.30e-10 + slice= 241: relerr=2.067e-01 rdmerr=3.464e-01 mag=0.806 cdvmax= 2.39e-10 + slice= 242: relerr=1.995e-01 rdmerr=3.416e-01 mag=0.810 cdvmax= 2.45e-10 + slice= 243: relerr=1.915e-01 rdmerr=3.349e-01 mag=0.812 cdvmax= 2.47e-10 + slice= 244: relerr=1.846e-01 rdmerr=3.278e-01 mag=0.814 cdvmax= 2.46e-10 + slice= 245: relerr=1.809e-01 rdmerr=3.222e-01 mag=0.813 cdvmax= 2.41e-10 + slice= 246: relerr=1.818e-01 rdmerr=3.198e-01 mag=0.809 cdvmax= 2.32e-10 + slice= 247: relerr=1.871e-01 rdmerr=3.212e-01 mag=0.805 cdvmax= 2.21e-10 + slice= 248: relerr=1.948e-01 rdmerr=3.255e-01 mag=0.800 cdvmax= 2.27e-10 + slice= 249: relerr=2.013e-01 rdmerr=3.304e-01 mag=0.798 cdvmax= 2.32e-10 + slice= 250: relerr=2.029e-01 rdmerr=3.334e-01 mag=0.798 cdvmax= 2.36e-10 + slice= 251: relerr=1.976e-01 rdmerr=3.321e-01 mag=0.803 cdvmax= 2.39e-10 + slice= 252: relerr=1.855e-01 rdmerr=3.253e-01 mag=0.810 cdvmax= 2.42e-10 + slice= 253: relerr=1.691e-01 rdmerr=3.136e-01 mag=0.819 cdvmax= 2.44e-10 + slice= 254: relerr=1.530e-01 rdmerr=3.005e-01 mag=0.827 cdvmax= 2.46e-10 + slice= 255: relerr=1.433e-01 rdmerr=2.925e-01 mag=0.832 cdvmax= 2.47e-10 + slice= 256: relerr=1.453e-01 rdmerr=2.964e-01 mag=0.834 cdvmax= 2.47e-10 + slice= 257: relerr=1.614e-01 rdmerr=3.146e-01 mag=0.830 cdvmax= 2.46e-10 + slice= 258: relerr=1.898e-01 rdmerr=3.427e-01 mag=0.822 cdvmax= 2.44e-10 + slice= 259: relerr=2.261e-01 rdmerr=3.741e-01 mag=0.812 cdvmax= 2.40e-10 + slice= 260: relerr=2.647e-01 rdmerr=4.034e-01 mag=0.801 cdvmax= 2.35e-10 + slice= 261: relerr=3.006e-01 rdmerr=4.279e-01 mag=0.792 cdvmax= 2.28e-10 + slice= 262: relerr=3.303e-01 rdmerr=4.465e-01 mag=0.784 cdvmax= 2.34e-10 + slice= 263: relerr=3.522e-01 rdmerr=4.597e-01 mag=0.779 cdvmax= 2.42e-10 + slice= 264: relerr=3.661e-01 rdmerr=4.681e-01 mag=0.776 cdvmax= 2.49e-10 + slice= 265: relerr=3.728e-01 rdmerr=4.726e-01 mag=0.775 cdvmax= 2.56e-10 + slice= 266: relerr=3.732e-01 rdmerr=4.739e-01 mag=0.776 cdvmax= 2.62e-10 + slice= 267: relerr=3.683e-01 rdmerr=4.726e-01 mag=0.778 cdvmax= 2.66e-10 + slice= 268: relerr=3.590e-01 rdmerr=4.690e-01 mag=0.782 cdvmax= 2.68e-10 + slice= 269: relerr=3.459e-01 rdmerr=4.633e-01 mag=0.787 cdvmax= 2.69e-10 + slice= 270: relerr=3.291e-01 rdmerr=4.554e-01 mag=0.794 cdvmax= 2.67e-10 + slice= 271: relerr=3.090e-01 rdmerr=4.452e-01 mag=0.801 cdvmax= 2.63e-10 + slice= 272: relerr=2.859e-01 rdmerr=4.324e-01 mag=0.810 cdvmax= 2.56e-10 + slice= 273: relerr=2.605e-01 rdmerr=4.171e-01 mag=0.820 cdvmax= 2.45e-10 + slice= 274: relerr=2.342e-01 rdmerr=3.995e-01 mag=0.830 cdvmax= 2.31e-10 + slice= 275: relerr=2.083e-01 rdmerr=3.803e-01 mag=0.840 cdvmax= 2.15e-10 + slice= 276: relerr=1.845e-01 rdmerr=3.606e-01 mag=0.850 cdvmax= 2.03e-10 + slice= 277: relerr=1.642e-01 rdmerr=3.420e-01 mag=0.857 cdvmax= 2.00e-10 + slice= 278: relerr=1.483e-01 rdmerr=3.259e-01 mag=0.863 cdvmax= 1.99e-10 + slice= 279: relerr=1.375e-01 rdmerr=3.136e-01 mag=0.866 cdvmax= 1.98e-10 + slice= 280: relerr=1.318e-01 rdmerr=3.059e-01 mag=0.866 cdvmax= 2.02e-10 + slice= 281: relerr=1.308e-01 rdmerr=3.029e-01 mag=0.864 cdvmax= 2.08e-10 + slice= 282: relerr=1.340e-01 rdmerr=3.042e-01 mag=0.860 cdvmax= 2.13e-10 + slice= 283: relerr=1.409e-01 rdmerr=3.089e-01 mag=0.854 cdvmax= 2.15e-10 + slice= 284: relerr=1.511e-01 rdmerr=3.161e-01 mag=0.846 cdvmax= 2.14e-10 + slice= 285: relerr=1.646e-01 rdmerr=3.254e-01 mag=0.837 cdvmax= 2.08e-10 + slice= 286: relerr=1.820e-01 rdmerr=3.369e-01 mag=0.826 cdvmax= 1.97e-10 + slice= 287: relerr=2.042e-01 rdmerr=3.507e-01 mag=0.813 cdvmax= 1.84e-10 + slice= 288: relerr=2.319e-01 rdmerr=3.667e-01 mag=0.799 cdvmax= 1.81e-10 + slice= 289: relerr=2.647e-01 rdmerr=3.844e-01 mag=0.784 cdvmax= 1.75e-10 + slice= 290: relerr=2.999e-01 rdmerr=4.018e-01 mag=0.769 cdvmax= 1.65e-10 + slice= 291: relerr=3.307e-01 rdmerr=4.161e-01 mag=0.758 cdvmax= 1.61e-10 + slice= 292: relerr=3.479e-01 rdmerr=4.239e-01 mag=0.752 cdvmax= 1.56e-10 + slice= 293: relerr=3.439e-01 rdmerr=4.228e-01 mag=0.754 cdvmax= 1.47e-10 + slice= 294: relerr=3.200e-01 rdmerr=4.130e-01 mag=0.763 cdvmax= 1.43e-10 + slice= 295: relerr=2.851e-01 rdmerr=3.972e-01 mag=0.777 cdvmax= 1.31e-10 + slice= 296: relerr=2.486e-01 rdmerr=3.787e-01 mag=0.793 cdvmax= 1.15e-10 + slice= 297: relerr=2.163e-01 rdmerr=3.605e-01 mag=0.809 cdvmax= 1.16e-10 + slice= 298: relerr=1.901e-01 rdmerr=3.441e-01 mag=0.823 cdvmax= 1.20e-10 + slice= 299: relerr=1.701e-01 rdmerr=3.305e-01 mag=0.835 cdvmax= 1.26e-10 + slice= 300: relerr=1.552e-01 rdmerr=3.197e-01 mag=0.844 cdvmax= 1.32e-10 + slice= 301: relerr=1.443e-01 rdmerr=3.113e-01 mag=0.852 cdvmax= 1.38e-10 + slice= 302: relerr=1.362e-01 rdmerr=3.051e-01 mag=0.857 cdvmax= 1.43e-10 + slice= 303: relerr=1.307e-01 rdmerr=3.009e-01 mag=0.862 cdvmax= 1.45e-10 + slice= 304: relerr=1.275e-01 rdmerr=2.989e-01 mag=0.865 cdvmax= 1.44e-10 + slice= 305: relerr=1.269e-01 rdmerr=2.995e-01 mag=0.867 cdvmax= 1.38e-10 + slice= 306: relerr=1.293e-01 rdmerr=3.032e-01 mag=0.868 cdvmax= 1.29e-10 + slice= 307: relerr=1.342e-01 rdmerr=3.096e-01 mag=0.867 cdvmax= 1.17e-10 + slice= 308: relerr=1.406e-01 rdmerr=3.177e-01 mag=0.866 cdvmax= 1.17e-10 + slice= 309: relerr=1.467e-01 rdmerr=3.255e-01 mag=0.865 cdvmax= 1.18e-10 + slice= 310: relerr=1.507e-01 rdmerr=3.312e-01 mag=0.866 cdvmax= 1.17e-10 + slice= 311: relerr=1.512e-01 rdmerr=3.336e-01 mag=0.868 cdvmax= 1.14e-10 + slice= 312: relerr=1.484e-01 rdmerr=3.325e-01 mag=0.872 cdvmax= 1.09e-10 + slice= 313: relerr=1.434e-01 rdmerr=3.287e-01 mag=0.876 cdvmax= 1.03e-10 + slice= 314: relerr=1.374e-01 rdmerr=3.231e-01 mag=0.880 cdvmax= 9.71e-11 + slice= 315: relerr=1.309e-01 rdmerr=3.162e-01 mag=0.883 cdvmax= 1.08e-10 + slice= 316: relerr=1.247e-01 rdmerr=3.090e-01 mag=0.885 cdvmax= 1.21e-10 + slice= 317: relerr=1.196e-01 rdmerr=3.026e-01 mag=0.887 cdvmax= 1.31e-10 + slice= 318: relerr=1.160e-01 rdmerr=2.978e-01 mag=0.888 cdvmax= 1.35e-10 + slice= 319: relerr=1.145e-01 rdmerr=2.956e-01 mag=0.888 cdvmax= 1.34e-10 + slice= 320: relerr=1.156e-01 rdmerr=2.966e-01 mag=0.887 cdvmax= 1.26e-10 + slice= 321: relerr=1.197e-01 rdmerr=3.010e-01 mag=0.884 cdvmax= 1.14e-10 + slice= 322: relerr=1.263e-01 rdmerr=3.080e-01 mag=0.880 cdvmax= 1.09e-10 + slice= 323: relerr=1.334e-01 rdmerr=3.149e-01 mag=0.876 cdvmax= 1.15e-10 + slice= 324: relerr=1.385e-01 rdmerr=3.191e-01 mag=0.872 cdvmax= 1.19e-10 + slice= 325: relerr=1.397e-01 rdmerr=3.191e-01 mag=0.870 cdvmax= 1.22e-10 + slice= 326: relerr=1.366e-01 rdmerr=3.150e-01 mag=0.870 cdvmax= 1.22e-10 + slice= 327: relerr=1.301e-01 rdmerr=3.076e-01 mag=0.872 cdvmax= 1.22e-10 + slice= 328: relerr=1.221e-01 rdmerr=2.986e-01 mag=0.875 cdvmax= 1.22e-10 + slice= 329: relerr=1.147e-01 rdmerr=2.903e-01 mag=0.879 cdvmax= 1.21e-10 + slice= 330: relerr=1.104e-01 rdmerr=2.855e-01 mag=0.882 cdvmax= 1.22e-10 + slice= 331: relerr=1.110e-01 rdmerr=2.865e-01 mag=0.882 cdvmax= 1.23e-10 + slice= 332: relerr=1.174e-01 rdmerr=2.940e-01 mag=0.879 cdvmax= 1.33e-10 + slice= 333: relerr=1.289e-01 rdmerr=3.065e-01 mag=0.873 cdvmax= 1.42e-10 + slice= 334: relerr=1.438e-01 rdmerr=3.215e-01 mag=0.865 cdvmax= 1.47e-10 + slice= 335: relerr=1.598e-01 rdmerr=3.360e-01 mag=0.857 cdvmax= 1.50e-10 + slice= 336: relerr=1.744e-01 rdmerr=3.482e-01 mag=0.849 cdvmax= 1.58e-10 + slice= 337: relerr=1.854e-01 rdmerr=3.567e-01 mag=0.843 cdvmax= 1.65e-10 + slice= 338: relerr=1.909e-01 rdmerr=3.605e-01 mag=0.840 cdvmax= 1.70e-10 + slice= 339: relerr=1.896e-01 rdmerr=3.591e-01 mag=0.840 cdvmax= 1.74e-10 + slice= 340: relerr=1.816e-01 rdmerr=3.525e-01 mag=0.844 cdvmax= 1.76e-10 + slice= 341: relerr=1.684e-01 rdmerr=3.416e-01 mag=0.850 cdvmax= 1.76e-10 + slice= 342: relerr=1.529e-01 rdmerr=3.278e-01 mag=0.858 cdvmax= 1.73e-10 + slice= 343: relerr=1.377e-01 rdmerr=3.135e-01 mag=0.865 cdvmax= 1.69e-10 + slice= 344: relerr=1.247e-01 rdmerr=3.002e-01 mag=0.873 cdvmax= 1.62e-10 + slice= 345: relerr=1.141e-01 rdmerr=2.889e-01 mag=0.879 cdvmax= 1.54e-10 + slice= 346: relerr=1.057e-01 rdmerr=2.796e-01 mag=0.884 cdvmax= 1.46e-10 + slice= 347: relerr=9.949e-02 rdmerr=2.724e-01 mag=0.888 cdvmax= 1.37e-10 + slice= 348: relerr=9.561e-02 rdmerr=2.680e-01 mag=0.891 cdvmax= 1.45e-10 + slice= 349: relerr=9.483e-02 rdmerr=2.677e-01 mag=0.892 cdvmax= 1.53e-10 + slice= 350: relerr=9.814e-02 rdmerr=2.727e-01 mag=0.892 cdvmax= 1.59e-10 + slice= 351: relerr=1.064e-01 rdmerr=2.837e-01 mag=0.888 cdvmax= 1.61e-10 + slice= 352: relerr=1.200e-01 rdmerr=3.003e-01 mag=0.882 cdvmax= 1.58e-10 + slice= 353: relerr=1.387e-01 rdmerr=3.207e-01 mag=0.874 cdvmax= 1.51e-10 + slice= 354: relerr=1.610e-01 rdmerr=3.424e-01 mag=0.863 cdvmax= 1.40e-10 + slice= 355: relerr=1.846e-01 rdmerr=3.626e-01 mag=0.852 cdvmax= 1.26e-10 + slice= 356: relerr=2.060e-01 rdmerr=3.788e-01 mag=0.841 cdvmax= 1.17e-10 + slice= 357: relerr=2.215e-01 rdmerr=3.888e-01 mag=0.833 cdvmax= 1.21e-10 + slice= 358: relerr=2.275e-01 rdmerr=3.911e-01 mag=0.828 cdvmax= 1.27e-10 + slice= 359: relerr=2.220e-01 rdmerr=3.849e-01 mag=0.828 cdvmax= 1.35e-10 + slice= 360: relerr=2.061e-01 rdmerr=3.708e-01 mag=0.832 cdvmax= 1.47e-10 + slice= 361: relerr=1.849e-01 rdmerr=3.522e-01 mag=0.839 cdvmax= 1.59e-10 + slice= 362: relerr=1.661e-01 rdmerr=3.353e-01 mag=0.846 cdvmax= 1.70e-10 + slice= 363: relerr=1.563e-01 rdmerr=3.266e-01 mag=0.851 cdvmax= 1.79e-10 + slice= 364: relerr=1.561e-01 rdmerr=3.278e-01 mag=0.852 cdvmax= 1.86e-10 + slice= 365: relerr=1.602e-01 rdmerr=3.336e-01 mag=0.853 cdvmax= 1.90e-10 + slice= 366: relerr=1.616e-01 rdmerr=3.368e-01 mag=0.855 cdvmax= 1.94e-10 + slice= 367: relerr=1.557e-01 rdmerr=3.327e-01 mag=0.859 cdvmax= 1.97e-10 + slice= 368: relerr=1.420e-01 rdmerr=3.204e-01 mag=0.867 cdvmax= 1.98e-10 + slice= 369: relerr=1.250e-01 rdmerr=3.034e-01 mag=0.876 cdvmax= 1.95e-10 + slice= 370: relerr=1.134e-01 rdmerr=2.911e-01 mag=0.883 cdvmax= 1.87e-10 + slice= 371: relerr=1.172e-01 rdmerr=2.972e-01 mag=0.884 cdvmax= 1.78e-10 + slice= 372: relerr=1.429e-01 rdmerr=3.268e-01 mag=0.874 cdvmax= 1.77e-10 + slice= 373: relerr=1.886e-01 rdmerr=3.699e-01 mag=0.855 cdvmax= 1.72e-10 + slice= 374: relerr=2.448e-01 rdmerr=4.126e-01 mag=0.833 cdvmax= 1.65e-10 + slice= 375: relerr=3.012e-01 rdmerr=4.473e-01 mag=0.811 cdvmax= 1.56e-10 + slice= 376: relerr=3.501e-01 rdmerr=4.727e-01 mag=0.793 cdvmax= 1.60e-10 + slice= 377: relerr=3.879e-01 rdmerr=4.899e-01 mag=0.780 cdvmax= 1.73e-10 + slice= 378: relerr=4.131e-01 rdmerr=5.004e-01 mag=0.771 cdvmax= 1.81e-10 + slice= 379: relerr=4.256e-01 rdmerr=5.052e-01 mag=0.767 cdvmax= 1.85e-10 + slice= 380: relerr=4.252e-01 rdmerr=5.047e-01 mag=0.766 cdvmax= 1.84e-10 + slice= 381: relerr=4.116e-01 rdmerr=4.988e-01 mag=0.771 cdvmax= 1.78e-10 + slice= 382: relerr=3.844e-01 rdmerr=4.866e-01 mag=0.779 cdvmax= 1.67e-10 + slice= 383: relerr=3.448e-01 rdmerr=4.672e-01 mag=0.792 cdvmax= 1.54e-10 + slice= 384: relerr=2.964e-01 rdmerr=4.403e-01 mag=0.808 cdvmax= 1.53e-10 + slice= 385: relerr=2.465e-01 rdmerr=4.078e-01 mag=0.825 cdvmax= 1.71e-10 + slice= 386: relerr=2.057e-01 rdmerr=3.764e-01 mag=0.839 cdvmax= 1.90e-10 + slice= 387: relerr=1.838e-01 rdmerr=3.568e-01 mag=0.846 cdvmax= 2.07e-10 + slice= 388: relerr=1.850e-01 rdmerr=3.565e-01 mag=0.844 cdvmax= 2.22e-10 + slice= 389: relerr=2.065e-01 rdmerr=3.735e-01 mag=0.834 cdvmax= 2.36e-10 + slice= 390: relerr=2.422e-01 rdmerr=3.996e-01 mag=0.821 cdvmax= 2.49e-10 + slice= 391: relerr=2.861e-01 rdmerr=4.280e-01 mag=0.805 cdvmax= 2.60e-10 + slice= 392: relerr=3.329e-01 rdmerr=4.545e-01 mag=0.789 cdvmax= 2.68e-10 + slice= 393: relerr=3.782e-01 rdmerr=4.771e-01 mag=0.775 cdvmax= 2.73e-10 + slice= 394: relerr=4.189e-01 rdmerr=4.952e-01 mag=0.762 cdvmax= 2.74e-10 + slice= 395: relerr=4.530e-01 rdmerr=5.091e-01 mag=0.752 cdvmax= 2.73e-10 + slice= 396: relerr=4.799e-01 rdmerr=5.194e-01 mag=0.745 cdvmax= 2.69e-10 + slice= 397: relerr=5.003e-01 rdmerr=5.269e-01 mag=0.739 cdvmax= 2.63e-10 + slice= 398: relerr=5.154e-01 rdmerr=5.323e-01 mag=0.735 cdvmax= 2.56e-10 + slice= 399: relerr=5.263e-01 rdmerr=5.362e-01 mag=0.732 cdvmax= 2.48e-10 + slice= 400: relerr=5.334e-01 rdmerr=5.385e-01 mag=0.730 cdvmax= 2.42e-10 + slice= 401: relerr=5.360e-01 rdmerr=5.390e-01 mag=0.729 cdvmax= 2.36e-10 + slice= 402: relerr=5.330e-01 rdmerr=5.373e-01 mag=0.730 cdvmax= 2.32e-10 + slice= 403: relerr=5.235e-01 rdmerr=5.331e-01 mag=0.731 cdvmax= 2.30e-10 + slice= 404: relerr=5.074e-01 rdmerr=5.264e-01 mag=0.735 cdvmax= 2.30e-10 + slice= 405: relerr=4.856e-01 rdmerr=5.177e-01 mag=0.740 cdvmax= 2.31e-10 + slice= 406: relerr=4.601e-01 rdmerr=5.075e-01 mag=0.747 cdvmax= 2.32e-10 + slice= 407: relerr=4.330e-01 rdmerr=4.965e-01 mag=0.754 cdvmax= 2.33e-10 + slice= 408: relerr=4.060e-01 rdmerr=4.855e-01 mag=0.763 cdvmax= 2.32e-10 + slice= 409: relerr=3.803e-01 rdmerr=4.748e-01 mag=0.771 cdvmax= 2.30e-10 + slice= 410: relerr=3.561e-01 rdmerr=4.643e-01 mag=0.780 cdvmax= 2.24e-10 + slice= 411: relerr=3.331e-01 rdmerr=4.538e-01 mag=0.788 cdvmax= 2.15e-10 + slice= 412: relerr=3.108e-01 rdmerr=4.428e-01 mag=0.797 cdvmax= 2.06e-10 + slice= 413: relerr=2.886e-01 rdmerr=4.310e-01 mag=0.806 cdvmax= 1.97e-10 + slice= 414: relerr=2.660e-01 rdmerr=4.178e-01 mag=0.815 cdvmax= 1.96e-10 + slice= 415: relerr=2.429e-01 rdmerr=4.030e-01 mag=0.824 cdvmax= 1.97e-10 + slice= 416: relerr=2.194e-01 rdmerr=3.864e-01 mag=0.833 cdvmax= 1.98e-10 + slice= 417: relerr=1.965e-01 rdmerr=3.687e-01 mag=0.842 cdvmax= 1.97e-10 + slice= 418: relerr=1.751e-01 rdmerr=3.507e-01 mag=0.851 cdvmax= 2.02e-10 + slice= 419: relerr=1.561e-01 rdmerr=3.333e-01 mag=0.859 cdvmax= 2.08e-10 + slice= 420: relerr=1.401e-01 rdmerr=3.174e-01 mag=0.866 cdvmax= 2.12e-10 + stcdata from mft-SR and old calc agree. + ##### Trying to save stc: + stcmft basefilename: /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/MEG/sample/sample_audvismft + ##### done. + calc(lf*w*lf.T) took total 97.33 s CPU-time ( 97.33 s walltime) + calc(lf*w*lf.T) took per call 115.45ms CPU-time ( 115.45ms walltime) + scan_cdm calls took total 15.52 s CPU-time ( 15.52 s walltime) + scan_cdm calls took per call 36.86ms CPU-time ( 36.86ms walltime) + iteration-loops took total 100.49 s CPU-time ( 100.49 s walltime) + iteration-loops took per call 238.69ms CPU-time ( 238.69ms walltime) + Total mft-call took total 117.88 s CPU-time ( 117.88 s walltime) + Reading /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/MEG/sample/sample_audvis-ave.fif ... + Read a total of 4 projection items: + PCA-v1 (1 x 102) active + PCA-v2 (1 x 102) active + PCA-v3 (1 x 102) active + Average EEG reference (1 x 60) active + Found the data of interest: + t = -199.80 ... 499.49 ms (Left Auditory) + 0 CTF compensation matrices available + nave = 55 - aspect type = 100 + Projections have already been applied. Setting proj attribute to True. + Applying baseline correction (mode: mean) + + ########## Some geo-numbers: + > Discriminating lh/rh by sign of fwdmag['source_rr'][:,0]: + > lhinds[0].shape[0] = 4019 rhinds[0].shape[0] = 3479 + > Discriminating lh/rh by sign of fwdmag['source_rr'][:,0] in MR coords: + > lhmrinds[0].shape[0] = 3683 rhmrinds[0].shape[0] = 3815 + ##### Plot global cdv-distribution at time of max |cdv|: + ##### Attempting to plot: + Using control points [3.1238256e-11 4.4604756e-11 3.4558595e-10] + Restricting peak search to [0.058190s, 0.128285s] + hemi=lh: setting time_idx=179 + hemi=lh: vertno_max=75517, time_idx=179 fwdmag['src'][0]['rr'][vertno_max] = [-0.0654368 0.00843156 0.06171336] + Coords of 71 sel. vfoci: + [[-0.06334512 -0.01249577 0.06401447] + [-0.06042004 -0.0128543 0.06169286] + [-0.06391217 -0.00266765 0.07154481] + [-0.05822342 -0.01302986 0.05753142] + [-0.06526204 -0.00397343 0.06845991] + [-0.06222399 -0.00173238 0.06969026] + [-0.06254483 -0.00723502 0.0624574 ] + [-0.05665474 -0.00207873 0.06495791] + [-0.05702165 -0.005282 0.06155647] + [-0.06090023 -0.00734591 0.05830965] + [-0.06259613 -0.00916535 0.05736235] + [-0.06246542 0.00451022 0.07284792] + [-0.06441178 0.00063685 0.06797828] + [-0.06069167 -0.00271494 0.06271644] + [-0.05981874 0.00243593 0.06925961] + [-0.05528094 -0.00561945 0.05735362] + [-0.0574455 -0.00830209 0.05446243] + [-0.05637104 0.0026806 0.06620726] + [-0.06584128 -0.004577 0.05533493] + [-0.06509028 0.00695492 0.07039952] + [-0.06122282 0.00680012 0.06918331] + [-0.06291312 0.00539421 0.0677986 ] + [-0.05831348 -0.00414252 0.05517064] + [-0.0619943 0.01110779 0.0740917 ] + [-0.0572097 0.00667424 0.06760755] + [-0.06457973 -0.00438841 0.0521743 ] + [-0.05921839 0.01092879 0.07175978] + [-0.05892569 0.00472497 0.06403713] + [-0.06141853 -0.0085813 0.04653249] + [-0.06426826 0.0118146 0.07147889] + [-0.06278531 0.00603971 0.06219249] + [-0.05508831 0.00421408 0.06122598] + [-0.06270766 0.00231714 0.05790284] + [-0.05837754 -0.00276623 0.05094401] + [-0.06331829 0.00927553 0.06619504] + [-0.05958919 0.00339978 0.05925975] + [-0.05630193 0.00230887 0.05666819] + [-0.06220526 -0.00055086 0.05197453] + [-0.06084607 0.01480856 0.0723424 ] + [-0.05985865 0.00952238 0.06550267] + [-0.05600998 0.00911584 0.06496346] + [-0.06096083 0.01429463 0.06971687] + [-0.06192993 0.00888413 0.06229569] + [-0.05817005 0.00491732 0.05770831] + [-0.06324161 0.0055867 0.05705221] + [-0.0654368 0.00843156 0.06171336] + [-0.065399 0.01936645 0.07260523] + [-0.05832197 0.01063334 0.06181001] + [-0.05888368 0.00797649 0.0572428 ] + [-0.05968856 0.01818832 0.06994254] + [-0.06353239 0.01807051 0.06882443] + [-0.05526788 0.01125377 0.0604109 ] + [-0.0603111 0.01235984 0.05977618] + [-0.06367403 0.00940619 0.05694903] + [-0.05978378 0.01087931 0.05683902] + [-0.05841116 0.01684229 0.06316742] + [-0.05720604 0.01389317 0.05892458] + [-0.05557308 0.01214028 0.05526927] + [-0.06336229 0.01814829 0.06146637] + [-0.06224703 0.0089029 0.04949182] + [-0.05680561 0.01788355 0.05997913] + [-0.05947538 0.01515045 0.05564103] + [-0.05769994 0.01443337 0.05279504] + [-0.0610097 0.02073968 0.06034119] + [-0.06272066 0.01820621 0.0581888 ] + [-0.06000874 0.01829859 0.05536602] + [-0.06220426 0.01591169 0.05146289] + [-0.06043307 0.01942751 0.05342115] + [-0.06437387 0.01372069 0.04576941] + [-0.06012897 0.02404409 0.05619702] + [-0.06151841 0.02250384 0.05405048]] + vfoci: + [51980 53321 55724 55949 56997 58186 58311 60530 60601 60696 60711 61660 + 61734 61817 62964 63199 63256 65663 65847 66818 66840 66892 67151 68055 + 68162 68465 69353 69489 69798 70674 70838 70856 70909 71066 72032 72151 + 72179 72272 73062 73155 73172 74204 74333 74398 74403 75517 76592 76737 + 76814 77819 77823 77931 79216 79250 80543 81699 81745 83002 84126 84317 + 85411 85477 86834 87987 88030 89279 89339 91691 91847 93922 93955] + brain.geo[lh].coords[vfoci] : + [[-59.15716553 -36.80292892 19.38884163] + [-56.31969833 -35.71147537 17.19067574] + [-59.33567047 -33.21443558 31.25098991] + [-54.27204895 -33.4060173 13.63180637] + [-60.80891418 -32.49020767 28.03402328] + [-57.70143127 -31.35654068 30.23042107] + [-58.34465027 -31.61328888 21.16308212] + [-52.30558395 -28.82330322 25.98788452] + [-52.83180237 -29.44625473 21.37265015] + [-56.84732819 -29.26879501 17.67279053] + [-58.59832764 -30.21156311 15.9038887 ] + [-57.75285721 -28.12837791 36.44133759] + [-59.91722488 -28.45550919 30.30023003] + [-56.42605209 -28.07367706 23.94203186] + [-55.25968933 -27.69509888 32.22471619] + [-51.2432518 -27.25272369 17.70211792] + [-53.54143143 -27.76813889 13.86889458] + [-51.91775513 -25.68234825 29.766325 ] + [-61.8534584 -25.33435631 17.0491333 ] + [-60.43016052 -24.74105644 35.97301865] + [-56.60977173 -24.11914062 34.75714874] + [-58.36516571 -24.47088051 32.87406921] + [-54.33102798 -24.81044769 16.89966393] + [-57.15447998 -23.48890686 41.28016281] + [-52.65601349 -23.26266098 33.26108932] + [-60.70064926 -23.32588005 14.54839039] + [-54.46414566 -22.24707985 39.18361282] + [-54.52028656 -22.78180122 29.28799629] + [-57.791996 -23.41142273 7.41144705] + [-59.5090332 -21.41410255 39.65271378] + [-58.42482758 -20.67680359 28.69522285] + [-50.79016876 -21.51961517 26.57098007] + [-58.54441452 -21.19935417 23.04036903] + [-54.52497101 -21.2288208 14.27344131] + [-58.77648544 -20.38684845 33.84957123] + [-55.36693573 -21.07977104 24.66133118] + [-52.18629456 -20.42230225 21.80413055] + [-58.28581238 -20.06806374 16.53837585] + [-56.02086258 -19.45106125 41.97651291] + [-55.34025192 -19.74810028 33.30765533] + [-51.51823044 -19.72558784 32.49524307] + [-56.2337265 -18.3390274 39.54983902] + [-57.53014374 -18.41760826 30.40654945] + [-53.9835434 -18.92823982 24.23586655] + [-59.06596375 -18.05255699 24.27501488] + [-61.06067657 -18.48078537 29.79553413] + [-60.50334167 -15.94689846 45.00983429] + [-53.91931152 -16.67735863 30.90291023] + [-54.6739006 -16.17868042 25.66690826] + [-54.9047699 -15.29463291 41.95732117] + [-58.78647232 -14.77685165 41.11862183] + [-50.90822601 -15.32712841 30.01961708] + [-55.95600128 -14.10886478 30.32966423] + [-59.45294952 -14.89374638 26.43332481] + [-55.5504303 -13.59399891 27.06357193] + [-53.88184357 -12.42544842 35.62746429] + [-52.86323929 -12.33568096 30.4211483 ] + [-51.38131714 -11.61235809 26.37377739] + [-58.87225723 -10.42216015 35.18521881] + [-58.29357529 -10.94075489 20.03572464] + [-52.37537384 -9.7046957 33.58902359] + [-55.22954559 -9.42258739 28.56998825] + [-53.56379318 -8.32818222 25.7782917 ] + [-56.52748871 -7.63742304 35.69836807] + [-58.34469223 -8.45784473 32.53556824] + [-55.73197174 -6.7100172 30.20107269] + [-58.09262466 -6.39551067 25.71994591] + [-56.20946503 -4.66323709 29.29567528] + [-60.48736191 -4.87780428 19.89885139] + [-55.74980164 -2.5280261 34.22926712] + [-57.23283768 -2.54175591 31.63871384]] + mrfoci: + [[-0.05915717 -0.03680294 0.01938884] + [-0.0563197 -0.03571148 0.01719067] + [-0.05933567 -0.03321445 0.03125099] + [-0.05427205 -0.03340603 0.01363181] + [-0.06080892 -0.03249022 0.02803402] + [-0.05770143 -0.03135655 0.03023042] + [-0.05834465 -0.0316133 0.02116308] + [-0.05230558 -0.02882331 0.02598788] + [-0.0528318 -0.02944626 0.02137265] + [-0.05684733 -0.0292688 0.01767279] + [-0.05859833 -0.03021157 0.01590388] + [-0.05775286 -0.02812839 0.03644134] + [-0.05991723 -0.02845552 0.03030023] + [-0.05642605 -0.02807369 0.02394203] + [-0.05525969 -0.02769511 0.03222471] + [-0.05124325 -0.02725273 0.01770212] + [-0.05354143 -0.02776815 0.01386889] + [-0.05191775 -0.02568236 0.02976632] + [-0.06185344 -0.02533437 0.01704913] + [-0.06043016 -0.02474106 0.03597302] + [-0.05660978 -0.02411915 0.03475714] + [-0.05836517 -0.0244709 0.03287407] + [-0.05433103 -0.02481046 0.01689966] + [-0.05715448 -0.02348892 0.04128016] + [-0.05265602 -0.02326267 0.03326108] + [-0.06070065 -0.02332589 0.01454839] + [-0.05446415 -0.02224709 0.03918361] + [-0.05452028 -0.02278181 0.02928799] + [-0.057792 -0.02341143 0.00741145] + [-0.05950903 -0.02141412 0.03965271] + [-0.05842483 -0.02067681 0.02869522] + [-0.05079016 -0.02151962 0.02657097] + [-0.05854442 -0.02119937 0.02304037] + [-0.05452497 -0.02122883 0.01427344] + [-0.05877649 -0.02038686 0.03384957] + [-0.05536694 -0.02107978 0.02466133] + [-0.0521863 -0.02042231 0.02180413] + [-0.05828582 -0.02006807 0.01653837] + [-0.05602087 -0.01945107 0.04197651] + [-0.05534025 -0.01974811 0.03330765] + [-0.05151824 -0.0197256 0.03249524] + [-0.05623373 -0.01833903 0.03954984] + [-0.05753014 -0.01841762 0.03040654] + [-0.05398355 -0.01892825 0.02423587] + [-0.05906596 -0.01805257 0.02427501] + [-0.06106069 -0.01848079 0.02979553] + [-0.06050333 -0.01594691 0.04500983] + [-0.05391931 -0.01667737 0.03090291] + [-0.0546739 -0.01617869 0.0256669 ] + [-0.05490477 -0.01529464 0.04195732] + [-0.05878647 -0.01477686 0.04111862] + [-0.05090823 -0.01532714 0.03001961] + [-0.05595601 -0.01410887 0.03032966] + [-0.05945295 -0.01489376 0.02643332] + [-0.05555043 -0.01359401 0.02706357] + [-0.05388184 -0.01242546 0.03562746] + [-0.05286324 -0.01233569 0.03042115] + [-0.05138132 -0.01161237 0.02637377] + [-0.05887225 -0.01042217 0.03518521] + [-0.05829357 -0.01094076 0.02003573] + [-0.05237537 -0.00970471 0.03358902] + [-0.05522955 -0.00942259 0.02856998] + [-0.05356379 -0.00832819 0.02577829] + [-0.05652749 -0.00763743 0.03569836] + [-0.0583447 -0.00845785 0.03253556] + [-0.05573197 -0.00671002 0.03020107] + [-0.05809262 -0.00639552 0.02571994] + [-0.05620947 -0.00466325 0.02929567] + [-0.06048736 -0.00487781 0.01989885] + [-0.0557498 -0.00252803 0.03422926] + [-0.05723284 -0.00254176 0.03163871]] + Using control points [3.1238256e-11 4.4604756e-11 3.4558595e-10] + Restricting peak search to [0.058190s, 0.128285s] + hemi=rh: setting time_idx=168 + hemi=rh: vertno_max=84117, time_idx=168 fwdmag['src'][1]['rr'][vertno_max] = [0.05656576 0.01495685 0.06641981] + Coords of 64 sel. vfoci: + [[ 0.05663053 0.00125449 0.07689011] + [ 0.05686765 0.00359351 0.0778486 ] + [ 0.05683677 -0.00361293 0.06665149] + [ 0.05664868 0.00184802 0.07375114] + [ 0.05277025 0.00080743 0.06981316] + [ 0.05654064 0.00072792 0.0688354 ] + [ 0.05818428 -0.0008454 0.06639174] + [ 0.05454247 -0.00072896 0.06588857] + [ 0.0529318 0.00751801 0.07617799] + [ 0.05469877 0.01244704 0.08193647] + [ 0.05603044 0.01070924 0.0777896 ] + [ 0.05290839 0.01044466 0.07692005] + [ 0.05969121 -0.00303575 0.05891492] + [ 0.05382621 0.01469879 0.08084695] + [ 0.05446039 0.00275315 0.0641256 ] + [ 0.05775101 0.00054935 0.06231766] + [ 0.05619552 0.01318399 0.07656814] + [ 0.05162844 0.00500985 0.06489728] + [ 0.05914929 0.00447339 0.06403542] + [ 0.05583973 0.01723643 0.08203269] + [ 0.05256623 0.00739242 0.06772509] + [ 0.05585835 0.00628411 0.06594321] + [ 0.05345647 0.00258941 0.06098271] + [ 0.05744181 0.00139171 0.05991215] + [ 0.04930186 0.0095755 0.06843461] + [ 0.05608665 0.01025145 0.06806099] + [ 0.05116246 0.0067652 0.06236797] + [ 0.05589276 0.00560439 0.06140892] + [ 0.05661179 0.00033765 0.05354568] + [ 0.04974256 0.01556391 0.07368328] + [ 0.05306562 0.01157254 0.06724711] + [ 0.05774352 0.00897786 0.0633969 ] + [ 0.05319898 0.01797339 0.0741209 ] + [ 0.05379343 0.00998463 0.06272583] + [ 0.0585574 0.00548254 0.05523842] + [ 0.05535952 0.02327001 0.07925963] + [ 0.05132623 0.0094678 0.05897243] + [ 0.05226732 0.02142814 0.07449565] + [ 0.0556734 0.02117843 0.07495094] + [ 0.05656576 0.01495685 0.06641981] + [ 0.04977182 0.01356173 0.06499008] + [ 0.05690998 0.00427506 0.05191976] + [ 0.05728656 0.01302685 0.06291556] + [ 0.05630287 0.0115414 0.05935233] + [ 0.05453796 0.01477805 0.06353374] + [ 0.05491369 0.02610103 0.0756853 ] + [ 0.05095997 0.01446273 0.06082157] + [ 0.05180708 0.0118887 0.05623937] + [ 0.05882093 0.0139387 0.05839629] + [ 0.05160657 0.02489453 0.07005846] + [ 0.05753745 0.01760002 0.06117298] + [ 0.05373858 0.01454833 0.05663643] + [ 0.05805075 0.01032661 0.05101746] + [ 0.05313308 0.02192569 0.06631492] + [ 0.05393163 0.01814095 0.05986736] + [ 0.05472762 0.02751706 0.07121584] + [ 0.05643714 0.02472616 0.06847369] + [ 0.05421724 0.02393026 0.0649477 ] + [ 0.05547509 0.01807293 0.05635956] + [ 0.05492845 0.02682583 0.06737075] + [ 0.05253711 0.02479323 0.06208773] + [ 0.05711082 0.02100779 0.05765961] + [ 0.05788029 0.01492589 0.04795371] + [ 0.05654073 0.02137214 0.05409509]] + vfoci: + [60980 62190 63641 64887 66418 67791 67872 67875 68949 70017 70096 71405 + 71688 72580 72785 72843 73863 74014 74023 75007 75246 75284 75362 75390 + 77685 77698 77778 77805 77963 78953 79017 80496 81603 81783 81916 82747 + 83028 84005 84024 84117 84145 84420 85393 85449 86573 87582 87802 87871 + 89000 90071 90183 90253 90367 91463 91543 92563 92623 93818 93930 94897 + 96080 96127 97357 99324] + brain.geo[rh].coords[vfoci] : + [[ 61.36037827 -31.94083214 33.56241989] + [ 61.66061783 -30.59704399 35.69549561] + [ 61.14709473 -29.92389488 22.40670586] + [ 61.27654648 -29.62842369 31.3598175 ] + [ 57.25010681 -28.21665192 27.69548225] + [ 60.98276901 -27.67355347 26.72052193] + [ 62.51992035 -27.51064301 23.76098251] + [ 58.86455536 -27.15905952 23.55075836] + [ 57.71926498 -26.47408104 36.76809311] + [ 59.74884796 -25.80931473 44.25251389] + [ 60.91271973 -24.79015541 39.82572174] + [ 57.75909805 -24.52931404 39.07737732] + [ 63.73697662 -24.91599083 16.3611145 ] + [ 58.86759949 -23.35349464 44.71202087] + [ 58.76545334 -23.30317116 24.1525631 ] + [ 61.96258545 -24.0066433 21.28256035] + [ 61.06663895 -22.06588364 40.27099991] + [ 55.99117279 -21.94798851 26.19586372] + [ 63.46990967 -21.8062439 24.91438866] + [ 60.9534874 -21.9630928 47.08177948] + [ 57.05739594 -21.65165138 29.8466053 ] + [ 60.2709198 -21.4803257 27.6363163 ] + [ 57.65046692 -21.61388588 21.54191399] + [ 61.58040619 -21.92296028 19.83208466] + [ 53.8478775 -20.32435036 31.81199455] + [ 60.62358093 -19.489645 31.6599617 ] + [ 55.45964813 -19.05197906 25.18273735] + [ 60.13840866 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0.06373697 -0.024916 0.01636111] + [ 0.05886759 -0.02335351 0.04471202] + [ 0.05876544 -0.02330318 0.02415256] + [ 0.06196259 -0.02400665 0.02128256] + [ 0.06106663 -0.02206589 0.040271 ] + [ 0.05599117 -0.02194799 0.02619586] + [ 0.0634699 -0.02180625 0.02491438] + [ 0.06095348 -0.0219631 0.04708177] + [ 0.05705739 -0.02165166 0.0298466 ] + [ 0.06027091 -0.02148033 0.02763631] + [ 0.05765046 -0.02161389 0.02154191] + [ 0.0615804 -0.02192297 0.01983208] + [ 0.05384788 -0.02032436 0.03181199] + [ 0.06062358 -0.01948965 0.03165996] + [ 0.05545964 -0.01905198 0.02518273] + [ 0.0601384 -0.01938866 0.02355827] + [ 0.06051536 -0.01907588 0.01407955] + [ 0.05454783 -0.01851496 0.03954762] + [ 0.05759308 -0.01797206 0.03187757] + [ 0.06210029 -0.01778857 0.0270723 ] + [ 0.05804788 -0.01677812 0.04118376] + [ 0.05814237 -0.01661887 0.02725585] + [ 0.06258433 -0.0158636 0.01838319] + [ 0.06045382 -0.01544947 0.04836533] + [ 0.05553931 -0.01487512 0.02399615] + [ 0.05717402 -0.01419925 0.04353526] + [ 0.06059045 -0.01463355 0.04363736] + [ 0.06110512 -0.01470535 0.03305367] + [ 0.05424819 -0.01507304 0.03132298] + [ 0.06080684 -0.0149262 0.01504443] + [ 0.06167853 -0.01422309 0.02905831] + [ 0.06055222 -0.01336231 0.02533524] + [ 0.05897573 -0.01318826 0.03067934] + [ 0.0599197 -0.01107013 0.04713029] + [ 0.05530155 -0.01189893 0.02842205] + [ 0.05595534 -0.01131016 0.02317175] + [ 0.06306577 -0.01083221 0.02586661] + [ 0.05640313 -0.00880282 0.04197792] + [ 0.06192678 -0.00948938 0.03030081] + [ 0.0579333 -0.00936167 0.02497537] + [ 0.06199255 -0.00947246 0.01779896] + [ 0.05776007 -0.00901696 0.03715389] + [ 0.05828479 -0.00832475 0.02968539] + [ 0.05959586 -0.00731586 0.0443345 ] + [ 0.06117291 -0.00796743 0.04042051] + [ 0.05882135 -0.00658051 0.03717387] + [ 0.05970392 -0.00631952 0.02674317] + [ 0.05965357 -0.0056337 0.04080324] + [ 0.05705359 -0.00422882 0.03541559] + [ 0.06142133 -0.00467683 0.02945079] + [ 0.06177399 -0.00395149 0.01799934] + [ 0.0607319 -0.00230837 0.02679021]] + Using control points [3.1238256e-11 4.4604756e-11 3.4558595e-10] + Restricting peak search to [0.058190s, 0.128285s] + hemi=both: setting time_idx=168 + ##### Plot cdv-distribution: + ##### Attempting to plot max. amplitude data: + ##### Attempting to plot max. cdv data: + ##### Attempting to cdvsum data: + ##### Attempting to plot quality data: + ##### Attempting to plot cdm data for labels: + Labels with largest avg(cdm): + 3 caudalanteriorcingulate-lh lh: avg(cdm) = 0.9795 + 4 caudalanteriorcingulate-rh rh: avg(cdm) = 0.9766 + 9 entorhinal-lh lh: avg(cdm) = 0.9844 + 10 entorhinal-rh rh: avg(cdm) = 0.9888 + 11 frontalpole-lh lh: avg(cdm) = 0.9917 + 12 frontalpole-rh rh: avg(cdm) = 0.9922 + 39 parsorbitalis-lh lh: avg(cdm) = 0.9856 + 40 parsorbitalis-rh rh: avg(cdm) = 0.9853 + 65 temporalpole-lh lh: avg(cdm) = 0.9767 + 66 temporalpole-rh rh: avg(cdm) = 0.9803 + ##### Attempting to plot cdm data: + ##### Attempting to plot jlong data for labels: + Labels with largest max(jlong): + 1 bankssts-lh lh: max(jlong) = 1.0997e-08 + 31 middletemporal-lh lh: max(jlong) = 7.3690e-09 + 32 middletemporal-rh rh: max(jlong) = 6.0467e-09 + 45 postcentral-lh lh: max(jlong) = 5.7215e-09 + 46 postcentral-rh rh: max(jlong) = 8.1229e-09 + 49 precentral-lh lh: max(jlong) = 7.7525e-09 + 61 superiortemporal-lh lh: max(jlong) = 1.9903e-08 + 62 superiortemporal-rh rh: max(jlong) = 2.1621e-08 + 63 supramarginal-lh lh: max(jlong) = 8.6349e-09 + 64 supramarginal-rh rh: max(jlong) = 1.3480e-08 + ##### Attempting to plot jtotal data for labels: + Labels with largest max(jtotal): + 1 bankssts-lh lh: max(jtotal) = 1.1144e-08 + 31 middletemporal-lh lh: max(jtotal) = 7.5776e-09 + 32 middletemporal-rh rh: max(jtotal) = 6.8077e-09 + 45 postcentral-lh lh: max(jtotal) = 5.7622e-09 + 46 postcentral-rh rh: max(jtotal) = 8.3047e-09 + 49 precentral-lh lh: max(jtotal) = 8.9496e-09 + 61 superiortemporal-lh lh: max(jtotal) = 2.0180e-08 + 62 superiortemporal-rh rh: max(jtotal) = 2.1683e-08 + 63 supramarginal-lh lh: max(jtotal) = 1.0277e-08 + 64 supramarginal-rh rh: max(jtotal) = 1.3658e-08 + ##### Attempting to plot jlong data: + ##### Creating testtab_stc.dat with |cdv(time_idx=168)| + Done. + + + + + + +| + +.. code-block:: default + + + import os.path as op + import numpy as np + import mne + from mne.datasets import sample + from jumeg.mft import (apply_mft, jumeg_mft_plot) + + data_path = sample.data_path() + subject = 'sample' + subjects_dir = op.join(data_path, 'subjects') + fwdname = op.join(data_path, 'MEG/sample/sample_audvis-meg-oct-6-fwd.fif') + lblname = 'aparc' + evoname = op.join(data_path, 'MEG/sample/sample_audvis-ave.fif') + evocondition = 'Left Auditory' + rawname = op.join(data_path, 'MEG/sample/sample_audvis_10s-raw.fif') + t1_fname = op.join(subjects_dir, 'sample/mri/T1.mgz') + + # Set up pick list: MEG - bad channels + want_meg = 'mag' + want_ref = False + want_eeg = False + want_stim = False + exclude = 'bads' + include = [] + + print("########## MFT parameters:") + mftpar = {'prbfct': 'Gauss', + 'prbcnt': np.array([[0.039, 0.013, 0.062], [-0.039, 0.013, 0.062]]), + 'prbhw': np.array([[0.040, 0.040, 0.040], [0.040, 0.040, 0.040]])} + # mftpar = {'prbfct': 'uniform', + # 'prbcnt': None, + # 'prbhw': None} + mftpar.update({'iter': 2, 'currexp': 1.0}) + mftpar.update({'regtype': 'PzetaE', 'zetareg': 1.00}) + # mftpar.update({ 'regtype':'classic', 'zetareg':1.0}) + mftpar.update({'solver': 'lu', 'svrelcut': 5.e-4}) + + print("mftpar['prbcnt' ] = ", mftpar['prbcnt']) + print("mftpar['prbhw' ] = ", mftpar['prbhw']) + print("mftpar['iter' ] = ", mftpar['iter']) + print("mftpar['regtype' ] = ", mftpar['regtype']) + print("mftpar['zetareg' ] = ", mftpar['zetareg']) + print("mftpar['solver' ] = ", mftpar['solver']) + print("mftpar['svrelcut'] = ", mftpar['svrelcut']) + cdmcut = 0.10 + print("cdmcut = ", cdmcut) + + print("########## get labels:") + if lblname is not None: + labels = mne.read_labels_from_annot(subject, parc=lblname, + subjects_dir=subjects_dir) + else: + labels = None + + print("##########################") + print("##### Calling apply_mft()") + print("##########################") + iterlist = [0, 1, 2] + fwdmag, qualmft, stc_mftl = apply_mft(fwdname, evoname, evocondition=evocondition, + subject=subject, meg=want_meg, iterlist=iterlist, + calccdm='all', cdmcut=cdmcut, cdmlabels=labels, + mftpar=mftpar, verbose='verbose') + + evo = mne.read_evokeds(evoname, condition=evocondition, baseline=(None, 0)) + tstep = 1. / evo.info['sfreq'] + + if iterlist == None: + stc_mft = stc_mftl + else: + stc_mft = stc_mftl[-1] + stcdata = stc_mft.data + tmin = stc_mft.tmin + + print(" ") + print("########## Some geo-numbers:") + lhinds = np.where(fwdmag['source_rr'][:, 0] <= 0.) + rhinds = np.where(fwdmag['source_rr'][:, 0] > 0.) + print("> Discriminating lh/rh by sign of fwdmag['source_rr'][:,0]:") + print("> lhinds[0].shape[0] = ", lhinds[0].shape[0], " rhinds[0].shape[0] = ", rhinds[0].shape[0]) + invmri_head_t = mne.transforms.invert_transform(fwdmag['info']['mri_head_t']) + mrsrc = np.zeros(fwdmag['source_rr'].shape) + mrsrc = mne.transforms.apply_trans(invmri_head_t['trans'], fwdmag['source_rr'], move=True) + lhmrinds = np.where(mrsrc[:, 0] <= 0.) + rhmrinds = np.where(mrsrc[:, 0] > 0.) + print("> Discriminating lh/rh by sign of fwdmag['source_rr'][:,0] in MR coords:") + print("> lhmrinds[0].shape[0] = ", lhmrinds[0].shape[0], " rhmrinds[0].shape[0] = ", rhmrinds[0].shape[0]) + + # plotting routines + jumeg_mft_plot.plot_global_cdv_dist(stcdata) + jumeg_mft_plot.plot_visualize_mft_sources(fwdmag, stcdata, tmin=tmin, tstep=tstep, + subject=subject, subjects_dir=subjects_dir) + jumeg_mft_plot.plot_cdv_distribution(fwdmag, stcdata) + jumeg_mft_plot.plot_max_amplitude_data(fwdmag, stcdata, tmin=tmin, tstep=tstep, + subject=subject) + jumeg_mft_plot.plot_max_cdv_data(stc_mft, lhmrinds, rhmrinds) + jumeg_mft_plot.plot_cdvsum_data(stc_mft, lhmrinds, rhmrinds) + jumeg_mft_plot.plot_quality_data(qualmft, stc_mft) + jumeg_mft_plot.plot_cdm_data(qualmft, stc_mft, cdmlabels=labels) + jumeg_mft_plot.plot_jlong_labeldata(qualmft, stc_mft, labels) + jumeg_mft_plot.plot_jtotal_labeldata(qualmft, stc_mft, labels) + + jumeg_mft_plot.plot_jlong_data(qualmft, stc_mft) + + print_transforms = False + if print_transforms: + print("##### Transforms:") + print("fwdmag['info']['mri_head_t']:") + print(fwdmag['info']['mri_head_t']) + invmri_head_t = mne.transforms.invert_transform(fwdmag['info']['mri_head_t']) + print("Inverse of fwdmag['info']['mri_head_t']:") + print(invmri_head_t) + + write_tab_files = True + if write_tab_files: + tabfilenam = 'testtab_stc.dat' + time_idx = np.argmax(np.max(stcdata, axis=0)) + print("##### Creating %s with |cdv(time_idx=%d)|" % (tabfilenam, time_idx)) + tabfile = open(tabfilenam, mode='w') + cdvnmax = np.max(stcdata[:, time_idx]) + n_loc = stcdata.shape[0] + tabfile.write("# time_idx = %d\n" % time_idx) + tabfile.write("# max amplitude = %11.4e\n" % cdvnmax) + tabfile.write("# x/mm y/mm z/mm |cdv| index\n") + for ipnt in range(int(n_loc / 3)): + copnt = 1000. * fwdmag['source_rr'][ipnt] + tabfile.write(" %7.2f %7.2f %7.2f %11.4e %5d\n" % \ + (copnt[0], copnt[1], copnt[2], stcdata[ipnt, time_idx], ipnt)) + tabfile.close() + + print("Done.") + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 2 minutes 2.233 seconds) + + +.. _sphx_glr_download_auto_examples_mft_plot_perform_mft_surface_list.py: + +.. only:: html + + .. container:: sphx-glr-footer sphx-glr-footer-example + + + + + .. container:: sphx-glr-download sphx-glr-download-python + + :download:`Download Python source code: plot_perform_mft_surface_list.py ` + + .. container:: sphx-glr-download sphx-glr-download-jupyter + + :download:`Download Jupyter notebook: plot_perform_mft_surface_list.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/build/html/_sources/auto_examples/mft/plot_perform_mft_volume.rst.txt b/docs/build/html/_sources/auto_examples/mft/plot_perform_mft_volume.rst.txt new file mode 100644 index 00000000..93979537 --- /dev/null +++ b/docs/build/html/_sources/auto_examples/mft/plot_perform_mft_volume.rst.txt @@ -0,0 +1,879 @@ + +.. DO NOT EDIT. +.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. +.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: +.. "auto_examples/mft/plot_perform_mft_volume.py" +.. LINE NUMBERS ARE GIVEN BELOW. + +.. only:: html + + .. note:: + :class: sphx-glr-download-link-note + + :ref:`Go to the end ` + to download the full example code + +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_mft_plot_perform_mft_volume.py: + + +==================== +Jumeg MFT volume. +==================== + +.. GENERATED FROM PYTHON SOURCE LINES 6-131 + + + + +.. rst-class:: sphx-glr-script-out + + .. code-block:: none + + ########## MFT parameter: + mftpar['prbcnt' ] = [[-1.039 0.013 0.062] + [-0.039 0.013 0.062]] + mftpar['prbhw' ] = [[0.04 0.04 0.04] + [0.04 0.04 0.04]] + mftpar['iter' ] = 4 + mftpar['regtype' ] = PzetaE + mftpar['zetareg' ] = 1.0 + mftpar['solver' ] = lu + mftpar['svrelcut'] = 0.0005 + cdmcut = 0.1 + ########################## + ##### Read fwd-soln: + ########################## + Reading forward solution from /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/MEG/sample/sample_audvis-meg-vol-7-fwd.fif... + Reading a source space... + [done] + 1 source spaces read + Desired named matrix (kind = 3523) not available + Read MEG forward solution (3757 sources, 306 channels, free orientations) + Source spaces transformed to the forward solution coordinate frame + 102 out of 306 channels remain after picking + + ########## Some geo-numbers: + > Discriminating lh/rh by sign of fwdmag['source_rr'][:,0]: + > lhinds[0].shape[0] = 2006 rhinds[0].shape[0] = 1751 + > Discriminating lh/rh by sign of fwdmag['source_rr'][:,0] in MR coords: + > lhmrinds[0].shape[0] = 1964 rhmrinds[0].shape[0] = 1793 + ########## prepare to put labels into label-files: + ################################## + ##### Calling apply_mft(mylablist) + ################################## + meg-channels = mag + exclude-channels = bads + mftpar['iter' ] = 4 + mftpar['currexp' ] = 1.0 + mftpar['regtype' ] = pzetae + mftpar['zetareg' ] = 1.0 + mftpar['solver' ] = lu + mftpar['svrelcut'] = 0.0005 + mftpar['prbfct' ] = gauss + mftpar['prbcnt' ] = [[-1.039 0.013 0.062] + [-0.039 0.013 0.062]] + mftpar['prbhw' ] = [[0.04 0.04 0.04] + [0.04 0.04 0.04]] + pos(prbcnt[1]) = [-1.039 0.013 0.062] + dhw(prbdhw[1]) = [0.04 0.04 0.04] + pos(prbcnt[2]) = [-0.039 0.013 0.062] + dhw(prbdhw[2]) = [0.04 0.04 0.04] + mftpar['prbxfm' ] = None + calccdm = 'all' with rel. cut = 0.10 + Reading forward solution from /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/MEG/sample/sample_audvis-meg-vol-7-fwd.fif... + Reading a source space... + [done] + 1 source spaces read + Desired named matrix (kind = 3523) not available + Read MEG forward solution (3757 sources, 306 channels, free orientations) + Source spaces transformed to the forward solution coordinate frame + 102 out of 306 channels remain after picking + Leadfield size : n_sen x n_loc = 102 x 11271 + Number of source spaces = 1 + ########## Searching for label(s) in source space(s)... + --> sums: 0 verts 0 used + prep. labels took 0.246 ms (0.000 s walltime) + Reading evoked data from /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/MEG/sample/sample_audvis-ave.fif + Reading /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/MEG/sample/sample_audvis-ave.fif ... + Read a total of 4 projection items: + PCA-v1 (1 x 102) active + PCA-v2 (1 x 102) active + PCA-v3 (1 x 102) active + Average EEG reference (1 x 60) active + Found the data of interest: + t = -199.80 ... 499.49 ms (Left Auditory) + 0 CTF compensation matrices available + nave = 55 - aspect type = 100 + Projections have already been applied. Setting proj attribute to True. + Applying baseline correction (mode: mean) + ########## Calculate initial prob-dist: + calc(wdist0) took 0.235 ms (0.000 s walltime) + ########## Calculate P-matrix, incl. weights: + calc(lf*w*lf.T) took 58.918792000042686 ms (0.059 s walltime) + ln(condno) = -124.486, K_H = 10^( -54.064) = 0.000 + (K_H < 0.01 : bad, K_H > 0.1 : good) + ########## Create stc data and qual data arrays: + Reading 421 slices of data to calc. cdv: + Reading forward solution from /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/MEG/sample/sample_audvis-meg-vol-7-fwd.fif... + Reading a source space... + [done] + 1 source spaces read + Desired named matrix (kind = 3523) not available + Read MEG forward solution (3757 sources, 306 channels, free orientations) + Source spaces transformed to the forward solution coordinate frame + 102 out of 306 channels remain after picking + ##### Results: + slice= 0: relerr=7.085e-01 rdmerr=5.235e-01 mag=0.651 cdvmax= 4.59e-10 + slice= 1: relerr=8.538e-01 rdmerr=5.713e-01 mag=0.632 cdvmax= 4.50e-10 + slice= 2: relerr=1.081e+00 rdmerr=6.355e-01 mag=0.608 cdvmax= 4.22e-10 + slice= 3: relerr=1.301e+00 rdmerr=6.936e-01 mag=0.590 cdvmax= 4.11e-10 + slice= 4: relerr=1.328e+00 rdmerr=7.120e-01 mag=0.593 cdvmax= 4.78e-10 + slice= 5: relerr=1.121e+00 rdmerr=6.902e-01 mag=0.625 cdvmax= 5.63e-10 + slice= 6: relerr=8.584e-01 rdmerr=6.438e-01 mag=0.671 cdvmax= 6.21e-10 + slice= 7: relerr=6.601e-01 rdmerr=5.928e-01 mag=0.711 cdvmax= 6.52e-10 + slice= 8: relerr=5.324e-01 rdmerr=5.490e-01 mag=0.739 cdvmax= 6.60e-10 + slice= 9: relerr=4.559e-01 rdmerr=5.166e-01 mag=0.757 cdvmax= 7.15e-10 + slice= 10: relerr=4.153e-01 rdmerr=4.964e-01 mag=0.766 cdvmax= 7.73e-10 + slice= 11: relerr=4.014e-01 rdmerr=4.879e-01 mag=0.768 cdvmax= 8.07e-10 + slice= 12: relerr=4.101e-01 rdmerr=4.902e-01 mag=0.764 cdvmax= 8.20e-10 + slice= 13: relerr=4.409e-01 rdmerr=5.026e-01 mag=0.754 cdvmax= 8.19e-10 + slice= 14: relerr=4.956e-01 rdmerr=5.242e-01 mag=0.740 cdvmax= 8.14e-10 + slice= 15: relerr=5.765e-01 rdmerr=5.534e-01 mag=0.720 cdvmax= 8.14e-10 + slice= 16: relerr=6.843e-01 rdmerr=5.875e-01 mag=0.697 cdvmax= 8.24e-10 + slice= 17: relerr=8.139e-01 rdmerr=6.228e-01 mag=0.673 cdvmax= 8.31e-10 + slice= 18: relerr=9.506e-01 rdmerr=6.545e-01 mag=0.650 cdvmax= 8.06e-10 + slice= 19: relerr=1.064e+00 rdmerr=6.770e-01 mag=0.632 cdvmax= 7.54e-10 + slice= 20: relerr=1.110e+00 rdmerr=6.853e-01 mag=0.625 cdvmax= 7.02e-10 + slice= 21: relerr=1.061e+00 rdmerr=6.772e-01 mag=0.633 cdvmax= 6.70e-10 + slice= 22: relerr=9.343e-01 rdmerr=6.531e-01 mag=0.653 cdvmax= 6.88e-10 + slice= 23: relerr=7.748e-01 rdmerr=6.158e-01 mag=0.682 cdvmax= 6.83e-10 + slice= 24: relerr=6.271e-01 rdmerr=5.708e-01 mag=0.709 cdvmax= 6.06e-10 + slice= 25: relerr=5.151e-01 rdmerr=5.243e-01 mag=0.729 cdvmax= 4.26e-10 + slice= 26: relerr=4.478e-01 rdmerr=4.835e-01 mag=0.735 cdvmax= 2.06e-10 + slice= 27: relerr=4.390e-01 rdmerr=4.641e-01 mag=0.726 cdvmax= 2.72e-10 + slice= 28: relerr=5.039e-01 rdmerr=4.790e-01 mag=0.703 cdvmax= 3.68e-10 + slice= 29: relerr=6.358e-01 rdmerr=5.159e-01 mag=0.671 cdvmax= 4.28e-10 + slice= 30: relerr=7.935e-01 rdmerr=5.512e-01 mag=0.639 cdvmax= 4.61e-10 + slice= 31: relerr=9.314e-01 rdmerr=5.758e-01 mag=0.615 cdvmax= 4.85e-10 + slice= 32: relerr=1.028e+00 rdmerr=5.916e-01 mag=0.600 cdvmax= 7.33e-10 + slice= 33: relerr=1.085e+00 rdmerr=6.016e-01 mag=0.592 cdvmax= 1.04e-09 + slice= 34: relerr=1.109e+00 rdmerr=6.082e-01 mag=0.590 cdvmax= 1.30e-09 + slice= 35: relerr=1.111e+00 rdmerr=6.123e-01 mag=0.592 cdvmax= 1.49e-09 + slice= 36: relerr=1.094e+00 rdmerr=6.147e-01 mag=0.596 cdvmax= 1.60e-09 + slice= 37: relerr=1.063e+00 rdmerr=6.154e-01 mag=0.603 cdvmax= 1.61e-09 + slice= 38: relerr=1.019e+00 rdmerr=6.143e-01 mag=0.612 cdvmax= 1.52e-09 + slice= 39: relerr=9.673e-01 rdmerr=6.118e-01 mag=0.623 cdvmax= 1.30e-09 + slice= 40: relerr=9.130e-01 rdmerr=6.086e-01 mag=0.635 cdvmax= 9.78e-10 + slice= 41: relerr=8.544e-01 rdmerr=6.049e-01 mag=0.650 cdvmax= 5.96e-10 + slice= 42: relerr=7.821e-01 rdmerr=5.999e-01 mag=0.669 cdvmax= 4.10e-10 + slice= 43: relerr=6.771e-01 rdmerr=5.867e-01 mag=0.699 cdvmax= 2.19e-10 + slice= 44: relerr=5.236e-01 rdmerr=5.427e-01 mag=0.739 cdvmax= 3.68e-10 + slice= 45: relerr=4.193e-01 rdmerr=4.896e-01 mag=0.757 cdvmax= 4.42e-10 + slice= 46: relerr=4.643e-01 rdmerr=4.875e-01 mag=0.729 cdvmax= 4.37e-10 + slice= 47: relerr=5.038e-01 rdmerr=4.929e-01 mag=0.713 cdvmax= 4.58e-10 + slice= 48: relerr=5.576e-01 rdmerr=5.083e-01 mag=0.698 cdvmax= 4.67e-10 + slice= 49: relerr=6.144e-01 rdmerr=5.250e-01 mag=0.685 cdvmax= 4.29e-10 + slice= 50: relerr=6.394e-01 rdmerr=5.319e-01 mag=0.679 cdvmax= 4.25e-10 + slice= 51: relerr=6.381e-01 rdmerr=5.317e-01 mag=0.680 cdvmax= 5.14e-10 + slice= 52: relerr=6.236e-01 rdmerr=5.279e-01 mag=0.683 cdvmax= 6.19e-10 + slice= 53: relerr=6.058e-01 rdmerr=5.232e-01 mag=0.687 cdvmax= 7.15e-10 + slice= 54: relerr=5.909e-01 rdmerr=5.196e-01 mag=0.691 cdvmax= 7.96e-10 + slice= 55: relerr=5.827e-01 rdmerr=5.183e-01 mag=0.693 cdvmax= 8.51e-10 + slice= 56: relerr=5.830e-01 rdmerr=5.199e-01 mag=0.694 cdvmax= 8.75e-10 + slice= 57: relerr=5.929e-01 rdmerr=5.248e-01 mag=0.693 cdvmax= 8.61e-10 + slice= 58: relerr=6.131e-01 rdmerr=5.328e-01 mag=0.690 cdvmax= 8.07e-10 + slice= 59: relerr=6.443e-01 rdmerr=5.438e-01 mag=0.685 cdvmax= 7.16e-10 + slice= 60: relerr=6.877e-01 rdmerr=5.574e-01 mag=0.677 cdvmax= 5.96e-10 + slice= 61: relerr=7.438e-01 rdmerr=5.733e-01 mag=0.666 cdvmax= 4.58e-10 + slice= 62: relerr=8.111e-01 rdmerr=5.905e-01 mag=0.655 cdvmax= 3.90e-10 + slice= 63: relerr=8.818e-01 rdmerr=6.073e-01 mag=0.643 cdvmax= 3.61e-10 + slice= 64: relerr=9.377e-01 rdmerr=6.209e-01 mag=0.635 cdvmax= 3.27e-10 + slice= 65: relerr=9.517e-01 rdmerr=6.277e-01 mag=0.635 cdvmax= 2.84e-10 + slice= 66: relerr=9.045e-01 rdmerr=6.231e-01 mag=0.645 cdvmax= 2.24e-10 + slice= 67: relerr=8.088e-01 rdmerr=6.073e-01 mag=0.665 cdvmax= 1.49e-10 + slice= 68: relerr=6.728e-01 rdmerr=5.845e-01 mag=0.700 cdvmax= 1.30e-10 + slice= 69: relerr=5.317e-01 rdmerr=5.516e-01 mag=0.742 cdvmax= 1.96e-10 + slice= 70: relerr=4.692e-01 rdmerr=5.362e-01 mag=0.766 cdvmax= 3.09e-10 + slice= 71: relerr=5.055e-01 rdmerr=5.569e-01 mag=0.761 cdvmax= 3.15e-10 + slice= 72: relerr=5.838e-01 rdmerr=5.863e-01 mag=0.742 cdvmax= 3.23e-10 + slice= 73: relerr=6.700e-01 rdmerr=6.137e-01 mag=0.722 cdvmax= 3.60e-10 + slice= 74: relerr=7.480e-01 rdmerr=6.357e-01 mag=0.705 cdvmax= 3.71e-10 + slice= 75: relerr=8.044e-01 rdmerr=6.504e-01 mag=0.694 cdvmax= 3.61e-10 + slice= 76: relerr=8.299e-01 rdmerr=6.571e-01 mag=0.689 cdvmax= 3.36e-10 + slice= 77: relerr=8.201e-01 rdmerr=6.551e-01 mag=0.691 cdvmax= 3.12e-10 + slice= 78: relerr=7.742e-01 rdmerr=6.429e-01 mag=0.700 cdvmax= 2.79e-10 + slice= 79: relerr=6.936e-01 rdmerr=6.175e-01 mag=0.714 cdvmax= 2.87e-10 + slice= 80: relerr=5.843e-01 rdmerr=5.757e-01 mag=0.733 cdvmax= 2.64e-10 + slice= 81: relerr=4.669e-01 rdmerr=5.192e-01 mag=0.752 cdvmax= 2.21e-10 + slice= 82: relerr=3.787e-01 rdmerr=4.654e-01 mag=0.764 cdvmax= 2.19e-10 + slice= 83: relerr=3.500e-01 rdmerr=4.433e-01 mag=0.766 cdvmax= 1.81e-10 + slice= 84: relerr=3.786e-01 rdmerr=4.595e-01 mag=0.759 cdvmax= 1.30e-10 + slice= 85: relerr=4.323e-01 rdmerr=4.885e-01 mag=0.748 cdvmax= 1.28e-10 + slice= 86: relerr=4.776e-01 rdmerr=5.115e-01 mag=0.740 cdvmax= 1.31e-10 + slice= 87: relerr=5.034e-01 rdmerr=5.263e-01 mag=0.737 cdvmax= 1.44e-10 + slice= 88: relerr=5.124e-01 rdmerr=5.348e-01 mag=0.739 cdvmax= 1.54e-10 + slice= 89: relerr=5.125e-01 rdmerr=5.398e-01 mag=0.743 cdvmax= 1.65e-10 + slice= 90: relerr=5.130e-01 rdmerr=5.445e-01 mag=0.746 cdvmax= 1.67e-10 + slice= 91: relerr=5.253e-01 rdmerr=5.530e-01 mag=0.746 cdvmax= 1.85e-10 + slice= 92: relerr=5.602e-01 rdmerr=5.673e-01 mag=0.739 cdvmax= 2.12e-10 + slice= 93: relerr=6.272e-01 rdmerr=5.860e-01 mag=0.720 cdvmax= 2.30e-10 + slice= 94: relerr=7.190e-01 rdmerr=6.012e-01 mag=0.693 cdvmax= 2.88e-10 + slice= 95: relerr=8.201e-01 rdmerr=6.103e-01 mag=0.663 cdvmax= 2.83e-10 + slice= 96: relerr=9.404e-01 rdmerr=6.196e-01 mag=0.634 cdvmax= 3.48e-10 + slice= 97: relerr=1.113e+00 rdmerr=6.352e-01 mag=0.601 cdvmax= 4.30e-10 + slice= 98: relerr=1.386e+00 rdmerr=6.592e-01 mag=0.561 cdvmax= 4.74e-10 + slice= 99: relerr=1.811e+00 rdmerr=6.883e-01 mag=0.515 cdvmax= 4.59e-10 + slice= 100: relerr=2.383e+00 rdmerr=7.140e-01 mag=0.468 cdvmax= 3.73e-10 + slice= 101: relerr=2.923e+00 rdmerr=7.295e-01 mag=0.434 cdvmax= 2.29e-10 + slice= 102: relerr=3.198e+00 rdmerr=7.384e-01 mag=0.420 cdvmax= 1.50e-10 + slice= 103: relerr=3.280e+00 rdmerr=7.470e-01 mag=0.418 cdvmax= 1.79e-10 + slice= 104: relerr=3.304e+00 rdmerr=7.560e-01 mag=0.418 cdvmax= 2.13e-10 + slice= 105: relerr=3.274e+00 rdmerr=7.608e-01 mag=0.421 cdvmax= 2.26e-10 + slice= 106: relerr=3.184e+00 rdmerr=7.589e-01 mag=0.425 cdvmax= 2.10e-10 + slice= 107: relerr=2.999e+00 rdmerr=7.497e-01 mag=0.434 cdvmax= 2.25e-10 + slice= 108: relerr=2.631e+00 rdmerr=7.309e-01 mag=0.453 cdvmax= 2.42e-10 + slice= 109: relerr=2.100e+00 rdmerr=6.911e-01 mag=0.486 cdvmax= 2.47e-10 + slice= 110: relerr=1.622e+00 rdmerr=6.393e-01 mag=0.522 cdvmax= 2.46e-10 + slice= 111: relerr=1.232e+00 rdmerr=6.060e-01 mag=0.567 cdvmax= 2.01e-10 + slice= 112: relerr=9.523e-01 rdmerr=5.974e-01 mag=0.620 cdvmax= 1.69e-10 + slice= 113: relerr=8.027e-01 rdmerr=6.028e-01 mag=0.664 cdvmax= 3.17e-10 + slice= 114: relerr=7.549e-01 rdmerr=6.138e-01 mag=0.687 cdvmax= 5.34e-10 + slice= 115: relerr=7.857e-01 rdmerr=6.316e-01 mag=0.688 cdvmax= 6.53e-10 + slice= 116: relerr=8.704e-01 rdmerr=6.555e-01 mag=0.674 cdvmax= 6.34e-10 + slice= 117: relerr=9.777e-01 rdmerr=6.780e-01 mag=0.655 cdvmax= 7.30e-10 + slice= 118: relerr=1.081e+00 rdmerr=6.943e-01 mag=0.637 cdvmax= 8.37e-10 + slice= 119: relerr=1.162e+00 rdmerr=7.041e-01 mag=0.623 cdvmax= 9.64e-10 + slice= 120: relerr=1.213e+00 rdmerr=7.085e-01 mag=0.614 cdvmax= 1.10e-09 + slice= 121: relerr=1.232e+00 rdmerr=7.086e-01 mag=0.610 cdvmax= 1.23e-09 + slice= 122: relerr=1.223e+00 rdmerr=7.055e-01 mag=0.610 cdvmax= 1.34e-09 + slice= 123: relerr=1.193e+00 rdmerr=7.001e-01 mag=0.614 cdvmax= 1.40e-09 + slice= 124: relerr=1.148e+00 rdmerr=6.931e-01 mag=0.621 cdvmax= 1.41e-09 + slice= 125: relerr=1.096e+00 rdmerr=6.846e-01 mag=0.628 cdvmax= 1.35e-09 + slice= 126: relerr=1.048e+00 rdmerr=6.747e-01 mag=0.635 cdvmax= 1.23e-09 + slice= 127: relerr=1.016e+00 rdmerr=6.654e-01 mag=0.638 cdvmax= 1.08e-09 + slice= 128: relerr=1.012e+00 rdmerr=6.601e-01 mag=0.636 cdvmax= 9.16e-10 + slice= 129: relerr=1.031e+00 rdmerr=6.595e-01 mag=0.631 cdvmax= 5.93e-10 + slice= 130: relerr=1.051e+00 rdmerr=6.595e-01 mag=0.626 cdvmax= 4.21e-10 + slice= 131: relerr=1.055e+00 rdmerr=6.576e-01 mag=0.624 cdvmax= 3.54e-10 + slice= 132: relerr=1.060e+00 rdmerr=6.567e-01 mag=0.623 cdvmax= 3.89e-10 + slice= 133: relerr=1.089e+00 rdmerr=6.596e-01 mag=0.617 cdvmax= 3.58e-10 + slice= 134: relerr=1.144e+00 rdmerr=6.660e-01 mag=0.608 cdvmax= 4.20e-10 + slice= 135: relerr=1.210e+00 rdmerr=6.730e-01 mag=0.598 cdvmax= 5.00e-10 + slice= 136: relerr=1.268e+00 rdmerr=6.781e-01 mag=0.589 cdvmax= 5.88e-10 + slice= 137: relerr=1.303e+00 rdmerr=6.803e-01 mag=0.583 cdvmax= 6.83e-10 + slice= 138: relerr=1.310e+00 rdmerr=6.792e-01 mag=0.582 cdvmax= 7.76e-10 + slice= 139: relerr=1.291e+00 rdmerr=6.753e-01 mag=0.583 cdvmax= 8.59e-10 + slice= 140: relerr=1.251e+00 rdmerr=6.692e-01 mag=0.588 cdvmax= 9.17e-10 + slice= 141: relerr=1.193e+00 rdmerr=6.610e-01 mag=0.596 cdvmax= 9.40e-10 + slice= 142: relerr=1.120e+00 rdmerr=6.509e-01 mag=0.606 cdvmax= 9.57e-10 + slice= 143: relerr=1.037e+00 rdmerr=6.391e-01 mag=0.619 cdvmax= 9.05e-10 + slice= 144: relerr=9.536e-01 rdmerr=6.281e-01 mag=0.634 cdvmax= 7.59e-10 + slice= 145: relerr=8.916e-01 rdmerr=6.260e-01 mag=0.650 cdvmax= 6.41e-10 + slice= 146: relerr=8.906e-01 rdmerr=6.461e-01 mag=0.662 cdvmax= 7.27e-10 + slice= 147: relerr=9.863e-01 rdmerr=6.870e-01 mag=0.658 cdvmax= 7.92e-10 + slice= 148: relerr=1.215e+00 rdmerr=7.313e-01 mag=0.625 cdvmax= 8.51e-10 + slice= 149: relerr=1.667e+00 rdmerr=7.721e-01 mag=0.562 cdvmax= 8.44e-10 + slice= 150: relerr=2.088e+00 rdmerr=7.776e-01 mag=0.512 cdvmax= 7.81e-10 + slice= 151: relerr=2.287e+00 rdmerr=7.638e-01 mag=0.489 cdvmax= 7.75e-10 + slice= 152: relerr=2.299e+00 rdmerr=7.452e-01 mag=0.483 cdvmax= 9.74e-10 + slice= 153: relerr=2.210e+00 rdmerr=7.267e-01 mag=0.486 cdvmax= 1.20e-09 + slice= 154: relerr=2.081e+00 rdmerr=7.097e-01 mag=0.493 cdvmax= 1.44e-09 + slice= 155: relerr=1.941e+00 rdmerr=6.942e-01 mag=0.502 cdvmax= 1.66e-09 + slice= 156: relerr=1.801e+00 rdmerr=6.799e-01 mag=0.513 cdvmax= 1.86e-09 + slice= 157: relerr=1.664e+00 rdmerr=6.664e-01 mag=0.525 cdvmax= 2.03e-09 + slice= 158: relerr=1.530e+00 rdmerr=6.536e-01 mag=0.538 cdvmax= 2.24e-09 + slice= 159: relerr=1.399e+00 rdmerr=6.410e-01 mag=0.553 cdvmax= 2.52e-09 + slice= 160: relerr=1.270e+00 rdmerr=6.285e-01 mag=0.569 cdvmax= 2.79e-09 + slice= 161: relerr=1.145e+00 rdmerr=6.157e-01 mag=0.586 cdvmax= 3.04e-09 + slice= 162: relerr=1.027e+00 rdmerr=6.023e-01 mag=0.605 cdvmax= 3.25e-09 + slice= 163: relerr=9.231e-01 rdmerr=5.887e-01 mag=0.623 cdvmax= 3.40e-09 + slice= 164: relerr=8.398e-01 rdmerr=5.763e-01 mag=0.639 cdvmax= 3.44e-09 + slice= 165: relerr=7.755e-01 rdmerr=5.664e-01 mag=0.652 cdvmax= 3.36e-09 + slice= 166: relerr=7.237e-01 rdmerr=5.585e-01 mag=0.665 cdvmax= 3.18e-09 + slice= 167: relerr=6.780e-01 rdmerr=5.514e-01 mag=0.677 cdvmax= 2.93e-09 + slice= 168: relerr=6.347e-01 rdmerr=5.440e-01 mag=0.688 cdvmax= 2.64e-09 + slice= 169: relerr=5.920e-01 rdmerr=5.357e-01 mag=0.701 cdvmax= 2.36e-09 + slice= 170: relerr=5.496e-01 rdmerr=5.260e-01 mag=0.713 cdvmax= 2.10e-09 + slice= 171: relerr=5.075e-01 rdmerr=5.146e-01 mag=0.726 cdvmax= 2.03e-09 + slice= 172: relerr=4.662e-01 rdmerr=5.017e-01 mag=0.739 cdvmax= 2.37e-09 + slice= 173: relerr=4.264e-01 rdmerr=4.874e-01 mag=0.751 cdvmax= 2.67e-09 + slice= 174: relerr=3.887e-01 rdmerr=4.721e-01 mag=0.763 cdvmax= 2.92e-09 + slice= 175: relerr=3.537e-01 rdmerr=4.563e-01 mag=0.774 cdvmax= 3.11e-09 + slice= 176: relerr=3.222e-01 rdmerr=4.405e-01 mag=0.785 cdvmax= 3.24e-09 + slice= 177: relerr=2.947e-01 rdmerr=4.255e-01 mag=0.794 cdvmax= 3.31e-09 + slice= 178: relerr=2.716e-01 rdmerr=4.118e-01 mag=0.803 cdvmax= 3.31e-09 + slice= 179: relerr=2.530e-01 rdmerr=4.002e-01 mag=0.810 cdvmax= 3.27e-09 + slice= 180: relerr=2.384e-01 rdmerr=3.908e-01 mag=0.816 cdvmax= 3.18e-09 + slice= 181: relerr=2.271e-01 rdmerr=3.833e-01 mag=0.820 cdvmax= 3.07e-09 + slice= 182: relerr=2.180e-01 rdmerr=3.771e-01 mag=0.824 cdvmax= 2.93e-09 + slice= 183: relerr=2.097e-01 rdmerr=3.714e-01 mag=0.828 cdvmax= 2.89e-09 + slice= 184: relerr=2.012e-01 rdmerr=3.654e-01 mag=0.832 cdvmax= 2.83e-09 + slice= 185: relerr=1.921e-01 rdmerr=3.587e-01 mag=0.836 cdvmax= 2.76e-09 + slice= 186: relerr=1.828e-01 rdmerr=3.516e-01 mag=0.841 cdvmax= 2.68e-09 + slice= 187: relerr=1.742e-01 rdmerr=3.448e-01 mag=0.845 cdvmax= 2.61e-09 + slice= 188: relerr=1.678e-01 rdmerr=3.398e-01 mag=0.849 cdvmax= 2.53e-09 + slice= 189: relerr=1.646e-01 rdmerr=3.378e-01 mag=0.851 cdvmax= 2.45e-09 + slice= 190: relerr=1.653e-01 rdmerr=3.395e-01 mag=0.852 cdvmax= 2.36e-09 + slice= 191: relerr=1.695e-01 rdmerr=3.445e-01 mag=0.852 cdvmax= 2.27e-09 + slice= 192: relerr=1.762e-01 rdmerr=3.518e-01 mag=0.851 cdvmax= 2.18e-09 + slice= 193: relerr=1.843e-01 rdmerr=3.603e-01 mag=0.849 cdvmax= 2.09e-09 + slice= 194: relerr=1.929e-01 rdmerr=3.692e-01 mag=0.848 cdvmax= 2.01e-09 + slice= 195: relerr=2.027e-01 rdmerr=3.791e-01 mag=0.847 cdvmax= 1.92e-09 + slice= 196: relerr=2.165e-01 rdmerr=3.924e-01 mag=0.844 cdvmax= 1.84e-09 + slice= 197: relerr=2.420e-01 rdmerr=4.142e-01 mag=0.838 cdvmax= 1.75e-09 + slice= 198: relerr=2.940e-01 rdmerr=4.526e-01 mag=0.824 cdvmax= 1.65e-09 + slice= 199: relerr=3.984e-01 rdmerr=5.147e-01 mag=0.796 cdvmax= 1.49e-09 + slice= 200: relerr=5.900e-01 rdmerr=5.987e-01 mag=0.749 cdvmax= 1.33e-09 + slice= 201: relerr=8.992e-01 rdmerr=6.882e-01 mag=0.686 cdvmax= 1.24e-09 + slice= 202: relerr=1.312e+00 rdmerr=7.586e-01 mag=0.618 cdvmax= 1.07e-09 + slice= 203: relerr=1.741e+00 rdmerr=7.969e-01 mag=0.562 cdvmax= 8.70e-10 + slice= 204: relerr=2.079e+00 rdmerr=8.072e-01 mag=0.523 cdvmax= 7.40e-10 + slice= 205: relerr=2.257e+00 rdmerr=8.012e-01 mag=0.503 cdvmax= 5.77e-10 + slice= 206: relerr=2.267e+00 rdmerr=7.894e-01 mag=0.498 cdvmax= 6.84e-10 + slice= 207: relerr=2.154e+00 rdmerr=7.757e-01 mag=0.505 cdvmax= 7.99e-10 + slice= 208: relerr=1.985e+00 rdmerr=7.604e-01 mag=0.518 cdvmax= 9.09e-10 + slice= 209: relerr=1.813e+00 rdmerr=7.453e-01 mag=0.533 cdvmax= 9.97e-10 + slice= 210: relerr=1.650e+00 rdmerr=7.317e-01 mag=0.549 cdvmax= 1.06e-09 + slice= 211: relerr=1.496e+00 rdmerr=7.191e-01 mag=0.567 cdvmax= 1.08e-09 + slice= 212: relerr=1.358e+00 rdmerr=7.068e-01 mag=0.585 cdvmax= 1.06e-09 + slice= 213: relerr=1.236e+00 rdmerr=6.946e-01 mag=0.603 cdvmax= 9.86e-10 + slice= 214: relerr=1.128e+00 rdmerr=6.817e-01 mag=0.619 cdvmax= 9.63e-10 + slice= 215: relerr=1.028e+00 rdmerr=6.675e-01 mag=0.636 cdvmax= 9.27e-10 + slice= 216: relerr=9.345e-01 rdmerr=6.514e-01 mag=0.652 cdvmax= 9.24e-10 + slice= 217: relerr=8.441e-01 rdmerr=6.331e-01 mag=0.669 cdvmax= 9.00e-10 + slice= 218: relerr=7.565e-01 rdmerr=6.126e-01 mag=0.686 cdvmax= 8.54e-10 + slice= 219: relerr=6.723e-01 rdmerr=5.900e-01 mag=0.704 cdvmax= 8.39e-10 + slice= 220: relerr=5.932e-01 rdmerr=5.658e-01 mag=0.721 cdvmax= 8.03e-10 + slice= 221: relerr=5.207e-01 rdmerr=5.408e-01 mag=0.739 cdvmax= 7.47e-10 + slice= 222: relerr=4.567e-01 rdmerr=5.159e-01 mag=0.756 cdvmax= 6.93e-10 + slice= 223: relerr=4.022e-01 rdmerr=4.922e-01 mag=0.771 cdvmax= 7.23e-10 + slice= 224: relerr=3.586e-01 rdmerr=4.713e-01 mag=0.785 cdvmax= 7.47e-10 + slice= 225: relerr=3.273e-01 rdmerr=4.552e-01 mag=0.795 cdvmax= 7.69e-10 + slice= 226: relerr=3.100e-01 rdmerr=4.460e-01 mag=0.801 cdvmax= 7.94e-10 + slice= 227: relerr=3.081e-01 rdmerr=4.455e-01 mag=0.802 cdvmax= 8.24e-10 + slice= 228: relerr=3.221e-01 rdmerr=4.542e-01 mag=0.798 cdvmax= 8.62e-10 + slice= 229: relerr=3.516e-01 rdmerr=4.712e-01 mag=0.790 cdvmax= 9.13e-10 + slice= 230: relerr=3.956e-01 rdmerr=4.947e-01 mag=0.778 cdvmax= 9.76e-10 + slice= 231: relerr=4.528e-01 rdmerr=5.229e-01 mag=0.764 cdvmax= 1.05e-09 + slice= 232: relerr=5.218e-01 rdmerr=5.541e-01 mag=0.749 cdvmax= 1.14e-09 + slice= 233: relerr=6.005e-01 rdmerr=5.871e-01 mag=0.734 cdvmax= 1.24e-09 + slice= 234: relerr=6.829e-01 rdmerr=6.196e-01 mag=0.721 cdvmax= 1.36e-09 + slice= 235: relerr=7.564e-01 rdmerr=6.478e-01 mag=0.711 cdvmax= 1.48e-09 + slice= 236: relerr=8.048e-01 rdmerr=6.674e-01 mag=0.706 cdvmax= 1.62e-09 + slice= 237: relerr=8.190e-01 rdmerr=6.757e-01 mag=0.706 cdvmax= 1.76e-09 + slice= 238: relerr=8.039e-01 rdmerr=6.738e-01 mag=0.711 cdvmax= 1.87e-09 + slice= 239: relerr=7.730e-01 rdmerr=6.652e-01 mag=0.717 cdvmax= 1.96e-09 + slice= 240: relerr=7.393e-01 rdmerr=6.538e-01 mag=0.722 cdvmax= 1.99e-09 + slice= 241: relerr=7.113e-01 rdmerr=6.427e-01 mag=0.726 cdvmax= 1.97e-09 + slice= 242: relerr=6.941e-01 rdmerr=6.340e-01 mag=0.727 cdvmax= 1.90e-09 + slice= 243: relerr=6.913e-01 rdmerr=6.289e-01 mag=0.724 cdvmax= 1.78e-09 + slice= 244: relerr=7.076e-01 rdmerr=6.285e-01 mag=0.717 cdvmax= 1.69e-09 + slice= 245: relerr=7.478e-01 rdmerr=6.328e-01 mag=0.703 cdvmax= 1.57e-09 + slice= 246: relerr=8.156e-01 rdmerr=6.409e-01 mag=0.683 cdvmax= 1.42e-09 + slice= 247: relerr=9.135e-01 rdmerr=6.525e-01 mag=0.659 cdvmax= 1.25e-09 + slice= 248: relerr=1.041e+00 rdmerr=6.671e-01 mag=0.632 cdvmax= 1.09e-09 + slice= 249: relerr=1.191e+00 rdmerr=6.836e-01 mag=0.607 cdvmax= 9.55e-10 + slice= 250: relerr=1.348e+00 rdmerr=7.005e-01 mag=0.584 cdvmax= 8.51e-10 + slice= 251: relerr=1.487e+00 rdmerr=7.163e-01 mag=0.567 cdvmax= 7.83e-10 + slice= 252: relerr=1.587e+00 rdmerr=7.297e-01 mag=0.557 cdvmax= 7.52e-10 + slice= 253: relerr=1.626e+00 rdmerr=7.399e-01 mag=0.556 cdvmax= 7.55e-10 + slice= 254: relerr=1.596e+00 rdmerr=7.459e-01 mag=0.562 cdvmax= 7.89e-10 + slice= 255: relerr=1.509e+00 rdmerr=7.471e-01 mag=0.576 cdvmax= 8.47e-10 + slice= 256: relerr=1.395e+00 rdmerr=7.434e-01 mag=0.595 cdvmax= 9.19e-10 + slice= 257: relerr=1.277e+00 rdmerr=7.353e-01 mag=0.614 cdvmax= 1.03e-09 + slice= 258: relerr=1.170e+00 rdmerr=7.238e-01 mag=0.632 cdvmax= 1.33e-09 + slice= 259: relerr=1.081e+00 rdmerr=7.104e-01 mag=0.646 cdvmax= 1.66e-09 + slice= 260: relerr=1.012e+00 rdmerr=6.967e-01 mag=0.657 cdvmax= 2.01e-09 + slice= 261: relerr=9.608e-01 rdmerr=6.839e-01 mag=0.664 cdvmax= 2.35e-09 + slice= 262: relerr=9.222e-01 rdmerr=6.723e-01 mag=0.668 cdvmax= 2.68e-09 + slice= 263: relerr=8.928e-01 rdmerr=6.622e-01 mag=0.671 cdvmax= 2.98e-09 + slice= 264: relerr=8.694e-01 rdmerr=6.535e-01 mag=0.673 cdvmax= 3.22e-09 + slice= 265: relerr=8.497e-01 rdmerr=6.462e-01 mag=0.675 cdvmax= 3.40e-09 + slice= 266: relerr=8.322e-01 rdmerr=6.400e-01 mag=0.677 cdvmax= 3.51e-09 + slice= 267: relerr=8.157e-01 rdmerr=6.349e-01 mag=0.679 cdvmax= 3.55e-09 + slice= 268: relerr=7.998e-01 rdmerr=6.306e-01 mag=0.682 cdvmax= 3.51e-09 + slice= 269: relerr=7.842e-01 rdmerr=6.270e-01 mag=0.685 cdvmax= 3.41e-09 + slice= 270: relerr=7.689e-01 rdmerr=6.238e-01 mag=0.689 cdvmax= 3.25e-09 + slice= 271: relerr=7.543e-01 rdmerr=6.207e-01 mag=0.692 cdvmax= 3.05e-09 + slice= 272: relerr=7.407e-01 rdmerr=6.175e-01 mag=0.695 cdvmax= 2.82e-09 + slice= 273: relerr=7.286e-01 rdmerr=6.142e-01 mag=0.698 cdvmax= 2.56e-09 + slice= 274: relerr=7.186e-01 rdmerr=6.108e-01 mag=0.699 cdvmax= 2.28e-09 + slice= 275: relerr=7.120e-01 rdmerr=6.077e-01 mag=0.700 cdvmax= 1.99e-09 + slice= 276: relerr=7.105e-01 rdmerr=6.056e-01 mag=0.699 cdvmax= 1.71e-09 + slice= 277: relerr=7.168e-01 rdmerr=6.053e-01 mag=0.696 cdvmax= 1.44e-09 + slice= 278: relerr=7.347e-01 rdmerr=6.080e-01 mag=0.691 cdvmax= 1.20e-09 + slice= 279: relerr=7.684e-01 rdmerr=6.146e-01 mag=0.683 cdvmax= 9.92e-10 + slice= 280: relerr=8.225e-01 rdmerr=6.259e-01 mag=0.672 cdvmax= 8.21e-10 + slice= 281: relerr=9.017e-01 rdmerr=6.418e-01 mag=0.656 cdvmax= 6.87e-10 + slice= 282: relerr=1.010e+00 rdmerr=6.618e-01 mag=0.638 cdvmax= 6.02e-10 + slice= 283: relerr=1.148e+00 rdmerr=6.844e-01 mag=0.616 cdvmax= 5.49e-10 + slice= 284: relerr=1.314e+00 rdmerr=7.081e-01 mag=0.593 cdvmax= 4.83e-10 + slice= 285: relerr=1.498e+00 rdmerr=7.303e-01 mag=0.571 cdvmax= 5.42e-10 + slice= 286: relerr=1.678e+00 rdmerr=7.486e-01 mag=0.551 cdvmax= 5.93e-10 + slice= 287: relerr=1.822e+00 rdmerr=7.605e-01 mag=0.537 cdvmax= 6.27e-10 + slice= 288: relerr=1.900e+00 rdmerr=7.647e-01 mag=0.529 cdvmax= 6.40e-10 + slice= 289: relerr=1.894e+00 rdmerr=7.606e-01 mag=0.528 cdvmax= 6.32e-10 + slice= 290: relerr=1.803e+00 rdmerr=7.479e-01 mag=0.535 cdvmax= 6.10e-10 + slice= 291: relerr=1.645e+00 rdmerr=7.271e-01 mag=0.548 cdvmax= 6.65e-10 + slice= 292: relerr=1.437e+00 rdmerr=6.994e-01 mag=0.568 cdvmax= 7.25e-10 + slice= 293: relerr=1.212e+00 rdmerr=6.670e-01 mag=0.595 cdvmax= 7.93e-10 + slice= 294: relerr=1.003e+00 rdmerr=6.331e-01 mag=0.625 cdvmax= 8.60e-10 + slice= 295: relerr=8.318e-01 rdmerr=6.016e-01 mag=0.654 cdvmax= 9.10e-10 + slice= 296: relerr=7.071e-01 rdmerr=5.752e-01 mag=0.680 cdvmax= 9.36e-10 + slice= 297: relerr=6.254e-01 rdmerr=5.560e-01 mag=0.700 cdvmax= 9.38e-10 + slice= 298: relerr=5.778e-01 rdmerr=5.444e-01 mag=0.713 cdvmax= 9.19e-10 + slice= 299: relerr=5.558e-01 rdmerr=5.395e-01 mag=0.720 cdvmax= 8.87e-10 + slice= 300: relerr=5.515e-01 rdmerr=5.399e-01 mag=0.722 cdvmax= 8.51e-10 + slice= 301: relerr=5.587e-01 rdmerr=5.435e-01 mag=0.721 cdvmax= 8.17e-10 + slice= 302: relerr=5.720e-01 rdmerr=5.485e-01 mag=0.719 cdvmax= 7.90e-10 + slice= 303: relerr=5.865e-01 rdmerr=5.530e-01 mag=0.715 cdvmax= 7.75e-10 + slice= 304: relerr=5.979e-01 rdmerr=5.556e-01 mag=0.712 cdvmax= 7.71e-10 + slice= 305: relerr=6.026e-01 rdmerr=5.554e-01 mag=0.709 cdvmax= 7.79e-10 + slice= 306: relerr=5.990e-01 rdmerr=5.523e-01 mag=0.709 cdvmax= 7.94e-10 + slice= 307: relerr=5.872e-01 rdmerr=5.468e-01 mag=0.710 cdvmax= 8.13e-10 + slice= 308: relerr=5.694e-01 rdmerr=5.402e-01 mag=0.714 cdvmax= 8.34e-10 + slice= 309: relerr=5.481e-01 rdmerr=5.332e-01 mag=0.719 cdvmax= 8.91e-10 + slice= 310: relerr=5.256e-01 rdmerr=5.266e-01 mag=0.725 cdvmax= 9.60e-10 + slice= 311: relerr=5.043e-01 rdmerr=5.208e-01 mag=0.732 cdvmax= 9.99e-10 + slice= 312: relerr=4.865e-01 rdmerr=5.162e-01 mag=0.738 cdvmax= 9.92e-10 + slice= 313: relerr=4.746e-01 rdmerr=5.134e-01 mag=0.743 cdvmax= 9.31e-10 + slice= 314: relerr=4.699e-01 rdmerr=5.127e-01 mag=0.745 cdvmax= 8.22e-10 + slice= 315: relerr=4.730e-01 rdmerr=5.145e-01 mag=0.745 cdvmax= 6.84e-10 + slice= 316: relerr=4.845e-01 rdmerr=5.192e-01 mag=0.742 cdvmax= 5.83e-10 + slice= 317: relerr=5.051e-01 rdmerr=5.271e-01 mag=0.737 cdvmax= 5.26e-10 + slice= 318: relerr=5.360e-01 rdmerr=5.382e-01 mag=0.729 cdvmax= 4.63e-10 + slice= 319: relerr=5.785e-01 rdmerr=5.522e-01 mag=0.718 cdvmax= 4.05e-10 + slice= 320: relerr=6.330e-01 rdmerr=5.680e-01 mag=0.705 cdvmax= 4.06e-10 + slice= 321: relerr=6.971e-01 rdmerr=5.831e-01 mag=0.689 cdvmax= 4.33e-10 + slice= 322: relerr=7.633e-01 rdmerr=5.942e-01 mag=0.672 cdvmax= 4.52e-10 + slice= 323: relerr=8.185e-01 rdmerr=5.982e-01 mag=0.657 cdvmax= 4.72e-10 + slice= 324: relerr=8.505e-01 rdmerr=5.949e-01 mag=0.645 cdvmax= 5.07e-10 + slice= 325: relerr=8.582e-01 rdmerr=5.867e-01 mag=0.639 cdvmax= 5.40e-10 + slice= 326: relerr=8.516e-01 rdmerr=5.769e-01 mag=0.636 cdvmax= 5.72e-10 + slice= 327: relerr=8.429e-01 rdmerr=5.684e-01 mag=0.634 cdvmax= 6.02e-10 + slice= 328: relerr=8.409e-01 rdmerr=5.629e-01 mag=0.632 cdvmax= 6.26e-10 + slice= 329: relerr=8.495e-01 rdmerr=5.612e-01 mag=0.629 cdvmax= 6.38e-10 + slice= 330: relerr=8.688e-01 rdmerr=5.635e-01 mag=0.625 cdvmax= 6.33e-10 + slice= 331: relerr=8.965e-01 rdmerr=5.692e-01 mag=0.620 cdvmax= 6.14e-10 + slice= 332: relerr=9.297e-01 rdmerr=5.769e-01 mag=0.616 cdvmax= 5.81e-10 + slice= 333: relerr=9.659e-01 rdmerr=5.853e-01 mag=0.611 cdvmax= 5.38e-10 + slice= 334: relerr=1.005e+00 rdmerr=5.931e-01 mag=0.606 cdvmax= 5.41e-10 + slice= 335: relerr=1.047e+00 rdmerr=5.995e-01 mag=0.599 cdvmax= 6.35e-10 + slice= 336: relerr=1.093e+00 rdmerr=6.038e-01 mag=0.591 cdvmax= 7.15e-10 + slice= 337: relerr=1.144e+00 rdmerr=6.056e-01 mag=0.582 cdvmax= 7.74e-10 + slice= 338: relerr=1.194e+00 rdmerr=6.043e-01 mag=0.573 cdvmax= 8.07e-10 + slice= 339: relerr=1.230e+00 rdmerr=5.998e-01 mag=0.565 cdvmax= 8.13e-10 + slice= 340: relerr=1.239e+00 rdmerr=5.922e-01 mag=0.561 cdvmax= 7.96e-10 + slice= 341: relerr=1.211e+00 rdmerr=5.823e-01 mag=0.562 cdvmax= 7.64e-10 + slice= 342: relerr=1.149e+00 rdmerr=5.712e-01 mag=0.569 cdvmax= 7.23e-10 + slice= 343: relerr=1.072e+00 rdmerr=5.600e-01 mag=0.579 cdvmax= 6.81e-10 + slice= 344: relerr=9.991e-01 rdmerr=5.498e-01 mag=0.589 cdvmax= 6.38e-10 + slice= 345: relerr=9.398e-01 rdmerr=5.414e-01 mag=0.598 cdvmax= 5.96e-10 + slice= 346: relerr=8.974e-01 rdmerr=5.351e-01 mag=0.606 cdvmax= 5.60e-10 + slice= 347: relerr=8.711e-01 rdmerr=5.311e-01 mag=0.610 cdvmax= 5.36e-10 + slice= 348: relerr=8.596e-01 rdmerr=5.293e-01 mag=0.612 cdvmax= 5.32e-10 + slice= 349: relerr=8.608e-01 rdmerr=5.297e-01 mag=0.612 cdvmax= 5.52e-10 + slice= 350: relerr=8.728e-01 rdmerr=5.323e-01 mag=0.610 cdvmax= 6.17e-10 + slice= 351: relerr=8.938e-01 rdmerr=5.367e-01 mag=0.607 cdvmax= 7.52e-10 + slice= 352: relerr=9.227e-01 rdmerr=5.427e-01 mag=0.603 cdvmax= 9.23e-10 + slice= 353: relerr=9.604e-01 rdmerr=5.496e-01 mag=0.597 cdvmax= 1.11e-09 + slice= 354: relerr=1.009e+00 rdmerr=5.574e-01 mag=0.590 cdvmax= 1.29e-09 + slice= 355: relerr=1.072e+00 rdmerr=5.657e-01 mag=0.581 cdvmax= 1.42e-09 + slice= 356: relerr=1.153e+00 rdmerr=5.745e-01 mag=0.569 cdvmax= 1.49e-09 + slice= 357: relerr=1.253e+00 rdmerr=5.833e-01 mag=0.555 cdvmax= 1.46e-09 + slice= 358: relerr=1.371e+00 rdmerr=5.918e-01 mag=0.540 cdvmax= 1.34e-09 + slice= 359: relerr=1.498e+00 rdmerr=5.999e-01 mag=0.526 cdvmax= 1.12e-09 + slice= 360: relerr=1.611e+00 rdmerr=6.079e-01 mag=0.514 cdvmax= 9.45e-10 + slice= 361: relerr=1.679e+00 rdmerr=6.161e-01 mag=0.509 cdvmax= 7.50e-10 + slice= 362: relerr=1.677e+00 rdmerr=6.236e-01 mag=0.511 cdvmax= 5.12e-10 + slice= 363: relerr=1.621e+00 rdmerr=6.304e-01 mag=0.519 cdvmax= 3.63e-10 + slice= 364: relerr=1.564e+00 rdmerr=6.383e-01 mag=0.529 cdvmax= 2.92e-10 + slice= 365: relerr=1.531e+00 rdmerr=6.466e-01 mag=0.536 cdvmax= 2.57e-10 + slice= 366: relerr=1.506e+00 rdmerr=6.515e-01 mag=0.541 cdvmax= 2.52e-10 + slice= 367: relerr=1.469e+00 rdmerr=6.499e-01 mag=0.545 cdvmax= 2.56e-10 + slice= 368: relerr=1.411e+00 rdmerr=6.413e-01 mag=0.551 cdvmax= 2.64e-10 + slice= 369: relerr=1.332e+00 rdmerr=6.271e-01 mag=0.558 cdvmax= 4.28e-10 + slice= 370: relerr=1.236e+00 rdmerr=6.106e-01 mag=0.568 cdvmax= 7.15e-10 + slice= 371: relerr=1.142e+00 rdmerr=5.966e-01 mag=0.579 cdvmax= 1.06e-09 + slice= 372: relerr=1.073e+00 rdmerr=5.882e-01 mag=0.589 cdvmax= 1.37e-09 + slice= 373: relerr=1.039e+00 rdmerr=5.853e-01 mag=0.595 cdvmax= 1.75e-09 + slice= 374: relerr=1.033e+00 rdmerr=5.863e-01 mag=0.597 cdvmax= 2.07e-09 + slice= 375: relerr=1.039e+00 rdmerr=5.891e-01 mag=0.597 cdvmax= 2.29e-09 + slice= 376: relerr=1.048e+00 rdmerr=5.924e-01 mag=0.596 cdvmax= 2.42e-09 + slice= 377: relerr=1.056e+00 rdmerr=5.953e-01 mag=0.596 cdvmax= 2.49e-09 + slice= 378: relerr=1.062e+00 rdmerr=5.973e-01 mag=0.595 cdvmax= 2.57e-09 + slice= 379: relerr=1.065e+00 rdmerr=5.983e-01 mag=0.595 cdvmax= 2.60e-09 + slice= 380: relerr=1.064e+00 rdmerr=5.980e-01 mag=0.595 cdvmax= 2.55e-09 + slice= 381: relerr=1.058e+00 rdmerr=5.964e-01 mag=0.596 cdvmax= 2.45e-09 + slice= 382: relerr=1.046e+00 rdmerr=5.936e-01 mag=0.597 cdvmax= 2.37e-09 + slice= 383: relerr=1.024e+00 rdmerr=5.899e-01 mag=0.600 cdvmax= 2.25e-09 + slice= 384: relerr=9.951e-01 rdmerr=5.860e-01 mag=0.605 cdvmax= 2.10e-09 + slice= 385: relerr=9.637e-01 rdmerr=5.836e-01 mag=0.611 cdvmax= 1.90e-09 + slice= 386: relerr=9.420e-01 rdmerr=5.844e-01 mag=0.616 cdvmax= 1.67e-09 + slice= 387: relerr=9.450e-01 rdmerr=5.902e-01 mag=0.618 cdvmax= 1.49e-09 + slice= 388: relerr=9.916e-01 rdmerr=6.035e-01 mag=0.613 cdvmax= 1.30e-09 + slice= 389: relerr=1.096e+00 rdmerr=6.252e-01 mag=0.600 cdvmax= 1.09e-09 + slice= 390: relerr=1.250e+00 rdmerr=6.512e-01 mag=0.581 cdvmax= 9.00e-10 + slice= 391: relerr=1.434e+00 rdmerr=6.772e-01 mag=0.560 cdvmax= 7.35e-10 + slice= 392: relerr=1.631e+00 rdmerr=7.008e-01 mag=0.541 cdvmax= 6.02e-10 + slice= 393: relerr=1.822e+00 rdmerr=7.209e-01 mag=0.523 cdvmax= 5.99e-10 + slice= 394: relerr=1.990e+00 rdmerr=7.372e-01 mag=0.510 cdvmax= 6.01e-10 + slice= 395: relerr=2.125e+00 rdmerr=7.497e-01 mag=0.500 cdvmax= 5.97e-10 + slice= 396: relerr=2.227e+00 rdmerr=7.591e-01 mag=0.493 cdvmax= 5.86e-10 + slice= 397: relerr=2.303e+00 rdmerr=7.658e-01 mag=0.488 cdvmax= 5.68e-10 + slice= 398: relerr=2.362e+00 rdmerr=7.704e-01 mag=0.484 cdvmax= 5.45e-10 + slice= 399: relerr=2.407e+00 rdmerr=7.731e-01 mag=0.481 cdvmax= 5.19e-10 + slice= 400: relerr=2.436e+00 rdmerr=7.740e-01 mag=0.479 cdvmax= 4.92e-10 + slice= 401: relerr=2.444e+00 rdmerr=7.730e-01 mag=0.478 cdvmax= 4.68e-10 + slice= 402: relerr=2.425e+00 rdmerr=7.703e-01 mag=0.479 cdvmax= 4.53e-10 + slice= 403: relerr=2.374e+00 rdmerr=7.659e-01 mag=0.482 cdvmax= 4.49e-10 + slice= 404: relerr=2.294e+00 rdmerr=7.604e-01 mag=0.487 cdvmax= 4.93e-10 + slice= 405: relerr=2.188e+00 rdmerr=7.537e-01 mag=0.495 cdvmax= 5.40e-10 + slice= 406: relerr=2.066e+00 rdmerr=7.460e-01 mag=0.505 cdvmax= 5.81e-10 + slice= 407: relerr=1.938e+00 rdmerr=7.373e-01 mag=0.516 cdvmax= 6.11e-10 + slice= 408: relerr=1.814e+00 rdmerr=7.276e-01 mag=0.527 cdvmax= 6.29e-10 + slice= 409: relerr=1.704e+00 rdmerr=7.173e-01 mag=0.537 cdvmax= 6.35e-10 + slice= 410: relerr=1.612e+00 rdmerr=7.067e-01 mag=0.545 cdvmax= 6.28e-10 + slice= 411: relerr=1.541e+00 rdmerr=6.961e-01 mag=0.551 cdvmax= 6.10e-10 + slice= 412: relerr=1.485e+00 rdmerr=6.852e-01 mag=0.556 cdvmax= 5.80e-10 + slice= 413: relerr=1.440e+00 rdmerr=6.737e-01 mag=0.558 cdvmax= 5.39e-10 + slice= 414: relerr=1.396e+00 rdmerr=6.608e-01 mag=0.560 cdvmax= 4.90e-10 + slice= 415: relerr=1.343e+00 rdmerr=6.461e-01 mag=0.563 cdvmax= 4.67e-10 + slice= 416: relerr=1.274e+00 rdmerr=6.293e-01 mag=0.568 cdvmax= 4.43e-10 + slice= 417: relerr=1.188e+00 rdmerr=6.107e-01 mag=0.576 cdvmax= 4.19e-10 + slice= 418: relerr=1.088e+00 rdmerr=5.910e-01 mag=0.587 cdvmax= 3.98e-10 + slice= 419: relerr=9.838e-01 rdmerr=5.711e-01 mag=0.601 cdvmax= 3.84e-10 + slice= 420: relerr=8.849e-01 rdmerr=5.521e-01 mag=0.616 cdvmax= 3.81e-10 + stcdata from mft-SR and old calc agree. + ##### Trying to save stc: + stcmft basefilename: /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/MEG/sample/sample_audvismft + ##### done. + calc(lf*w*lf.T) took total 97.62 s CPU-time ( 97.62 s walltime) + calc(lf*w*lf.T) took per call 57.93ms CPU-time ( 57.93ms walltime) + scan_cdm calls took total 1.15 s CPU-time ( 1.15 s walltime) + scan_cdm calls took per call 2.72ms CPU-time ( 2.72ms walltime) + iteration-loops took total 100.88 s CPU-time ( 100.88 s walltime) + iteration-loops took per call 239.63ms CPU-time ( 239.63ms walltime) + Total mft-call took total 103.23 s CPU-time ( 103.23 s walltime) + Reading /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/MEG/sample/sample_audvis-ave.fif ... + Read a total of 4 projection items: + PCA-v1 (1 x 102) active + PCA-v2 (1 x 102) active + PCA-v3 (1 x 102) active + Average EEG reference (1 x 60) active + Found the data of interest: + t = -199.80 ... 499.49 ms (Left Auditory) + 0 CTF compensation matrices available + nave = 55 - aspect type = 100 + Projections have already been applied. Setting proj attribute to True. + Applying baseline correction (mode: mean) + ##### Plot global cdv-distribution at time of max |cdv|: + ##### Attempting to plot: + Using control points [8.06611537e-11 1.19896674e-10 1.29026009e-09] + Restricting peak search to [0.054656s, 0.124750s] + hemi=lh: setting time_idx=164 + hemi=lh: vertno_max=7984, time_idx=164 fwdmag['src'][0]['rr'][vertno_max] = [-0.04668234 0.05194447 0.0549494 ] + Coords of 38 sel. vfoci: + [[-0.01034323 0.0165333 0.03024074] + [-0.0172685 0.02213082 0.02591542] + [-0.01758891 0.02052467 0.03567849] + [-0.01059374 0.02061398 0.03592275] + [-0.01751901 0.0262115 0.03159743] + [-0.01052385 0.02630082 0.03184169] + [-0.00352868 0.02639013 0.03208595] + [-0.01744912 0.03189833 0.02751637] + [-0.01783942 0.02460535 0.04136051] + [-0.01084425 0.02469466 0.04160477] + [-0.01776952 0.03029218 0.03727945] + [-0.01077436 0.0303815 0.03752371] + [-0.00377919 0.03047081 0.03776797] + [-0.01769963 0.03597901 0.03319838] + [-0.01070446 0.03606833 0.03344264] + [-0.0037093 0.03615764 0.0336869 ] + [-0.01762974 0.04166585 0.02911732] + [-0.01165391 -0.01671933 0.07993527] + [-0.01802003 0.03437286 0.04296146] + [-0.01102487 0.03446217 0.04320572] + [-0.01795014 0.0400597 0.0388804 ] + [-0.01095497 0.04014901 0.03912466] + [-0.00395981 0.04023832 0.03936892] + [-0.01788025 0.04574653 0.03479934] + [-0.01088508 0.04583584 0.0350436 ] + [-0.01197431 -0.01832548 0.08969834] + [-0.00497915 -0.01823617 0.0899426 ] + [-0.01190442 -0.01263865 0.08561728] + [-0.00490925 -0.01254934 0.08586154] + [-0.01183452 -0.00695182 0.08153622] + [-0.01222482 -0.0142448 0.09538036] + [-0.00522966 -0.01415549 0.09562461] + [-0.01215493 -0.00855797 0.0912993 ] + [-0.00515976 -0.00846866 0.09154356] + [-0.01208503 -0.00287114 0.08721823] + [-0.01240544 -0.00447729 0.09698131] + [-0.00541027 -0.00438797 0.09722557] + [-0.01233554 0.00120954 0.09290025]] + vfoci: + [4671 4691 5216 5217 5237 5238 5239 5258 5762 5763 5783 5784 5785 5804 + 5805 5806 5825 6141 6329 6330 6350 6351 6352 6371 6372 6666 6667 6687 + 6688 6708 7212 7213 7233 7234 7254 7779 7780 7800] + brain.geo[lh].coords[vfoci] : + [[-28.44771767 -76.7138443 28.29827499] + [-20.88887978 -76.69934082 25.26876068] + [-17.10462379 -75.52427673 54.05233383] + [-17.91761398 -75.82961273 54.01888275] + [-13.68205452 -75.96791077 52.23929214] + [-14.22944927 -75.90225983 52.11447144] + [-15.1874094 -75.88166809 52.11309433] + [-14.06063938 -75.9910965 48.74702072] + [-15.17881584 -74.59827423 5.84480619] + [-15.6911087 -74.66752625 5.79757166] + [-17.67085838 -74.13552856 4.62373638] + [-22.18587685 -75.06071472 5.44341326] + [-22.66052246 -74.85055542 5.03092957] + [-34.44217682 -76.10132599 4.11484575] + [-34.8911438 -75.80760956 3.65986013] + [ -8.03773975 -74.98085785 3.04602027] + [-10.69375134 -74.82513428 1.76109445] + [-29.61104012 -74.29012299 42.07154083] + [-20.01686287 -74.29785156 26.82178307] + [-20.43301201 -74.13418579 27.31350327] + [-11.09011078 -75.2441864 24.37038612] + [-19.91496277 -74.24191284 24.87262535] + [-20.36554718 -74.85195923 24.40927124] + [-35.66772079 -75.33827209 23.27408981] + [-36.68254089 -75.21684265 23.34798241] + [-23.75372696 -74.58157349 3.12501621] + [-27.34762192 -74.42800903 3.28127742] + [-31.1694088 -74.92627716 2.15439129] + [-36.25767899 -74.95441437 2.87221861] + [-37.64742279 -74.08489227 1.60251522] + [-20.0171566 -73.75301361 24.44978523] + [-32.95124435 -73.57958221 24.00320816] + [-40.34562683 -73.26242065 22.95952988] + [ -3.13512397 -72.97525787 22.17505646] + [-39.32791901 -73.68094635 22.54715538] + [-22.33121681 -72.0861969 55.08438492] + [-13.5896616 -72.45484161 53.48980713] + [-26.15543938 -73.78292847 49.33211899]] + mrfoci: + [[-6.99999975e-03 6.99999928e-03 6.99999742e-03] + [-1.39999995e-02 1.39999986e-02 6.99999649e-03] + [-1.39999995e-02 6.99999742e-03 1.39999948e-02] + [-6.99999882e-03 6.99999742e-03 1.39999967e-02] + [-1.39999986e-02 1.39999967e-02 1.39999986e-02] + [-6.99999928e-03 1.39999967e-02 1.39999986e-02] + [-4.33680869e-19 1.39999986e-02 1.39999995e-02] + [-1.40000004e-02 2.09999997e-02 1.39999948e-02] + [-1.40000004e-02 6.99999742e-03 2.09999979e-02] + [-6.99999928e-03 6.99999556e-03 2.09999979e-02] + [-1.40000004e-02 1.39999948e-02 2.09999960e-02] + [-6.99999975e-03 1.39999967e-02 2.09999979e-02] + [-1.16415322e-10 1.39999948e-02 2.09999979e-02] + [-1.40000004e-02 2.09999979e-02 2.09999923e-02] + [-6.99999975e-03 2.09999997e-02 2.09999960e-02] + [-4.33680869e-19 2.09999979e-02 2.09999960e-02] + [-1.40000004e-02 2.80000027e-02 2.09999960e-02] + [-7.00000208e-03 -4.90000099e-02 2.80000009e-02] + [-1.39999986e-02 1.39999986e-02 2.79999971e-02] + [-6.99999975e-03 1.39999967e-02 2.79999953e-02] + [-1.40000004e-02 2.10000016e-02 2.79999953e-02] + [-6.99999928e-03 2.09999997e-02 2.79999916e-02] + [-4.65661287e-10 2.09999997e-02 2.79999934e-02] + [-1.40000004e-02 2.79999971e-02 2.79999953e-02] + [-6.99999975e-03 2.79999953e-02 2.79999934e-02] + [-7.00000254e-03 -5.60000129e-02 3.50000001e-02] + [-2.32830644e-09 -5.60000129e-02 3.49999964e-02] + [-7.00000115e-03 -4.90000099e-02 3.50000001e-02] + [-2.32830644e-09 -4.90000136e-02 3.49999964e-02] + [-7.00000115e-03 -4.20000143e-02 3.49999964e-02] + [-7.00000208e-03 -5.60000129e-02 4.19999994e-02] + [-2.79396772e-09 -5.60000166e-02 4.19999957e-02] + [-7.00000161e-03 -4.90000136e-02 4.20000069e-02] + [-1.86264515e-09 -4.90000173e-02 4.20000032e-02] + [-7.00000115e-03 -4.20000143e-02 4.19999957e-02] + [-7.00000208e-03 -4.90000099e-02 4.90000024e-02] + [-2.32830644e-09 -4.90000099e-02 4.89999987e-02] + [-7.00000208e-03 -4.20000143e-02 4.89999987e-02]] + Using control points [8.06611537e-11 1.19896674e-10 1.29026009e-09] + Restricting peak search to [0.054656s, 0.124750s] + hemi=rh: setting time_idx=164 + Using control points [8.06611537e-11 1.19896674e-10 1.29026009e-09] + Restricting peak search to [0.054656s, 0.124750s] + hemi=both: setting time_idx=164 + ##### Plot cdv-distribution: + ##### Attempting to plot max. amplitude data: + ##### Attempting to plot max. cdv data: + ##### Attempting to cdvsum data: + ##### Attempting to plot quality data: + ##### Attempting to plot cdm data: + ##### Attempting to plot cdm data: + ##### Attempting to plot cdm data: + ##### Attempting to plot jlong data: + Done. + + + + + + +| + +.. code-block:: default + + + import os.path as op + import numpy as np + import mne + from mne.datasets import sample + from jumeg.mft import (apply_mft, jumeg_mft_plot) + + data_path = sample.data_path() + subject = 'sample' + subjects_dir = op.join(data_path, 'subjects') + fwdname = op.join(data_path, 'MEG/sample/sample_audvis-meg-vol-7-fwd.fif') + evoname = op.join(data_path, 'MEG/sample/sample_audvis-ave.fif') + evocondition = 'Left Auditory' + rawname = op.join(data_path, 'MEG/sample/sample_audvis_10s-raw.fif') + t1_fname = op.join(subjects_dir, 'sample/mri/T1.mgz') + + # Set up pick list: MEG - bad channels + want_meg = 'mag' + want_ref = False + want_eeg = False + want_stim = False + exclude = 'bads' + include = [] + + print("########## MFT parameter:") + mftpar = {'prbfct': 'Gauss', + 'prbcnt': np.array([[-1.039, 0.013, 0.062], [-0.039, 0.013, 0.062]]), + 'prbhw': np.array([[0.040, 0.040, 0.040], [0.040, 0.040, 0.040]])} + # mftpar = { 'prbfct': 'uniform', + # 'prbcnt': None, + # 'prbhw': None} + mftpar.update({'iter': 4, 'currexp': 1.0}) + mftpar.update({'regtype': 'PzetaE', 'zetareg': 1.00}) + # mftpar.update({ 'regtype':'classic', 'zetareg':1.0}) + mftpar.update({'solver': 'lu', 'svrelcut': 5.e-4}) + + print("mftpar['prbcnt' ] = ", mftpar['prbcnt']) + print("mftpar['prbhw' ] = ", mftpar['prbhw']) + print("mftpar['iter' ] = ", mftpar['iter']) + print("mftpar['regtype' ] = ", mftpar['regtype']) + print("mftpar['zetareg' ] = ", mftpar['zetareg']) + print("mftpar['solver' ] = ", mftpar['solver']) + print("mftpar['svrelcut'] = ", mftpar['svrelcut']) + cdmcut = 0.10 + print("cdmcut = ", cdmcut) + + print("##########################") + print("##### Read fwd-soln:") + print("##########################") + fwd = mne.read_forward_solution(fwdname, verbose=True) + + # Select magnetometer channels: + fwdmag = mne.io.pick.pick_types_forward(fwd, meg=want_meg, ref_meg=False, + eeg=False, exclude=exclude) + + print(" ") + print("########## Some geo-numbers:") + lhinds = np.where(fwdmag['source_rr'][:, 0] <= 0.) + rhinds = np.where(fwdmag['source_rr'][:, 0] > 0.) + ypinds = np.where(fwdmag['source_rr'][:, 1] > 0.) + yninds = np.where(fwdmag['source_rr'][:, 1] <= 0.) + lhfinds = np.array(np.setdiff1d(lhinds[0], ypinds[0])) + lhbinds = np.array(np.setdiff1d(lhinds[0], yninds[0])) + rhfinds = np.array(np.setdiff1d(rhinds[0], ypinds[0])) + rhbinds = np.array(np.setdiff1d(rhinds[0], yninds[0])) + print("> Discriminating lh/rh by sign of fwdmag['source_rr'][:,0]:") + print("> lhinds[0].shape[0] = ", lhinds[0].shape[0], " rhinds[0].shape[0] = ", rhinds[0].shape[0]) + invmri_head_t = mne.transforms.invert_transform(fwdmag['info']['mri_head_t']) + mrsrc = np.zeros(fwdmag['source_rr'].shape) + mrsrc = mne.transforms.apply_trans(invmri_head_t['trans'], fwdmag['source_rr'], move=True) + lhmrinds = np.where(mrsrc[:, 0] <= 0.) + rhmrinds = np.where(mrsrc[:, 0] > 0.) + print("> Discriminating lh/rh by sign of fwdmag['source_rr'][:,0] in MR coords:") + print("> lhmrinds[0].shape[0] = ", lhmrinds[0].shape[0], " rhmrinds[0].shape[0] = ", rhmrinds[0].shape[0]) + + print("########## prepare to put labels into label-files:") + mylablist = [] + # mylab = mne.Label(lhinds[0],pos=fwdmag['source_rr'][lhinds[0],:],hemi='lh',name='test_lh', verbose=True) + # mylablist.append(mylab) + # mylab = mne.Label(rhinds[0],pos=fwdmag['source_rr'][rhinds[0],:],hemi='rh',name='test_rh', verbose=True) + # mylablist.append(mylab) + + # mylab = mne.Label(lhfinds,pos=fwdmag['source_rr'][lhfinds,:],hemi='lhf',name='test_lhf', verbose=True) + # mylablist.append(mylab) + # mylab = mne.Label(lhbinds,pos=fwdmag['source_rr'][lhbinds,:],hemi='lhb',name='test_lhb', verbose=True) + # mylablist.append(mylab) + # mylab = mne.Label(rhfinds,pos=fwdmag['source_rr'][rhfinds,:],hemi='rhf',name='test_rhf', verbose=True) + # mylablist.append(mylab) + # mylab = mne.Label(rhbinds,pos=fwdmag['source_rr'][rhbinds,:],hemi='rhb',name='test_rhb', verbose=True) + # mylablist.append(mylab) + + print("##################################") + print("##### Calling apply_mft(mylablist)") + print("##################################") + fwdmag, qualmft, stc_mft = apply_mft(fwdname, evoname, evocondition=evocondition, + subject=subject, meg=want_meg, + calccdm='all', cdmcut=cdmcut, cdmlabels=mylablist, + mftpar=mftpar, verbose='verbose') + + evo = mne.read_evokeds(evoname, condition=evocondition, baseline=(None, 0)) + tmin = -0.2 + tstep = 1. / evo.info['sfreq'] + stcdata = stc_mft.data + + # plotting routines + jumeg_mft_plot.plot_global_cdv_dist(stcdata) + # print ">>>>> skipping jumeg_mft_plot.plot_visualize_mft_sources() (fails due to old PySurfer-version)" + jumeg_mft_plot.plot_visualize_mft_sources(fwdmag, stcdata, tmin=tmin, tstep=tstep, + subject=subject, subjects_dir=subjects_dir) + jumeg_mft_plot.plot_cdv_distribution(fwdmag, stcdata) + jumeg_mft_plot.plot_max_amplitude_data(fwdmag, stcdata, tmin=tmin, tstep=tstep, + subject=subject) + jumeg_mft_plot.plot_max_cdv_data(stc_mft, lhmrinds, rhmrinds) + jumeg_mft_plot.plot_cdvsum_data(stc_mft, lhmrinds, rhmrinds) + jumeg_mft_plot.plot_quality_data(qualmft, stc_mft) + jumeg_mft_plot.plot_cdm_data(qualmft, stc_mft) + + jumeg_mft_plot.plot_cdm_data(qualmft, stc_mft, cdmlabels=mylablist) + jumeg_mft_plot.plot_jlong_labeldata(qualmft, stc_mft, mylablist) + jumeg_mft_plot.plot_jtotal_labeldata(qualmft, stc_mft, mylablist) + + jumeg_mft_plot.plot_cdm_data(qualmft, stc_mft) + jumeg_mft_plot.plot_jlong_data(qualmft, stc_mft) + + print("Done.") + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 1 minutes 47.912 seconds) + + +.. _sphx_glr_download_auto_examples_mft_plot_perform_mft_volume.py: + +.. only:: html + + .. container:: sphx-glr-footer sphx-glr-footer-example + + + + + .. container:: sphx-glr-download sphx-glr-download-python + + :download:`Download Python source code: plot_perform_mft_volume.py ` + + .. container:: sphx-glr-download sphx-glr-download-jupyter + + :download:`Download Jupyter notebook: plot_perform_mft_volume.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/build/html/_sources/auto_examples/mft/sg_execution_times.rst.txt b/docs/build/html/_sources/auto_examples/mft/sg_execution_times.rst.txt new file mode 100644 index 00000000..f5fb5b12 --- /dev/null +++ b/docs/build/html/_sources/auto_examples/mft/sg_execution_times.rst.txt @@ -0,0 +1,17 @@ + +:orphan: + +.. _sphx_glr_auto_examples_mft_sg_execution_times: + + +Computation times +================= +**05:49.906** total execution time for **auto_examples_mft** files: + ++-----------------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_examples_mft_plot_perform_mft_surface_list.py` (``plot_perform_mft_surface_list.py``) | 02:02.233 | 0.0 MB | ++-----------------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_examples_mft_plot_perform_mft_surface.py` (``plot_perform_mft_surface.py``) | 01:59.761 | 0.0 MB | ++-----------------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_examples_mft_plot_perform_mft_volume.py` (``plot_perform_mft_volume.py``) | 01:47.912 | 0.0 MB | ++-----------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/docs/build/html/_sources/auto_examples/preprocessing/index.rst.txt b/docs/build/html/_sources/auto_examples/preprocessing/index.rst.txt new file mode 100644 index 00000000..d6fe0878 --- /dev/null +++ b/docs/build/html/_sources/auto_examples/preprocessing/index.rst.txt @@ -0,0 +1,94 @@ + + +.. _sphx_glr_auto_examples_preprocessing: + +Preprocessing + + + +.. raw:: html + +
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/preprocessing/images/thumb/sphx_glr_plot_suggest_bads_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_preprocessing_plot_suggest_bads.py` + +.. raw:: html + +
Plot suggest bads.
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/preprocessing/images/thumb/sphx_glr_plot_interpolate_bads_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_preprocessing_plot_interpolate_bads.py` + +.. raw:: html + +
Plot and interpolate bads
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/preprocessing/images/thumb/sphx_glr_plot_noise_reducer_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_preprocessing_plot_noise_reducer.py` + +.. raw:: html + +
Plot noise reducer
+
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /auto_examples/preprocessing/images/thumb/sphx_glr_plot_compare_jumeg_filters_thumb.png + :alt: + + :ref:`sphx_glr_auto_examples_preprocessing_plot_compare_jumeg_filters.py` + +.. raw:: html + +
Filtering in jumeg.
+
+ + +.. raw:: html + +
+ + +.. toctree:: + :hidden: + + /auto_examples/preprocessing/plot_suggest_bads + /auto_examples/preprocessing/plot_interpolate_bads + /auto_examples/preprocessing/plot_noise_reducer + /auto_examples/preprocessing/plot_compare_jumeg_filters + diff --git a/docs/build/html/_sources/auto_examples/preprocessing/plot_compare_jumeg_filters.rst.txt b/docs/build/html/_sources/auto_examples/preprocessing/plot_compare_jumeg_filters.rst.txt new file mode 100644 index 00000000..5c7fbd69 --- /dev/null +++ b/docs/build/html/_sources/auto_examples/preprocessing/plot_compare_jumeg_filters.rst.txt @@ -0,0 +1,224 @@ + +.. DO NOT EDIT. +.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. +.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: +.. "auto_examples/preprocessing/plot_compare_jumeg_filters.py" +.. LINE NUMBERS ARE GIVEN BELOW. + +.. only:: html + + .. note:: + :class: sphx-glr-download-link-note + + :ref:`Go to the end ` + to download the full example code + +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_preprocessing_plot_compare_jumeg_filters.py: + + +==================== +Filtering in jumeg. +==================== + +Comparison of the various filters available for use in mne/jumeg. + +.. GENERATED FROM PYTHON SOURCE LINES 11-119 + + + +.. rst-class:: sphx-glr-horizontal + + + * + + .. image-sg:: /auto_examples/preprocessing/images/sphx_glr_plot_compare_jumeg_filters_001.png + :alt: Original sprectrum, Magnetometers + :srcset: /auto_examples/preprocessing/images/sphx_glr_plot_compare_jumeg_filters_001.png + :class: sphx-glr-multi-img + + * + + .. image-sg:: /auto_examples/preprocessing/images/sphx_glr_plot_compare_jumeg_filters_002.png + :alt: jumeg MNE (blue)/jumeg BW (green), MNE FIR (red)/ MNE IIR (yellow) + :srcset: /auto_examples/preprocessing/images/sphx_glr_plot_compare_jumeg_filters_002.png + :class: sphx-glr-multi-img + + +.. rst-class:: sphx-glr-script-out + + .. code-block:: none + + Opening raw data file /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/MEG/sample/sample_audvis_raw.fif... + Read a total of 3 projection items: + PCA-v1 (1 x 102) idle + PCA-v2 (1 x 102) idle + PCA-v3 (1 x 102) idle + Range : 25800 ... 192599 = 42.956 ... 320.670 secs + Ready. + Reading 0 ... 166799 = 0.000 ... 277.714 secs... + Sampling frequency is 600.614990 + NOTE: plot_psd() is a legacy function. New code should use .compute_psd().plot(). + NOTE: plot_psd() is a legacy function. New code should use .compute_psd().plot(). + Effective window size : 3.410 (s) + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.1s remaining: 0.1s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.2s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.2s finished + NOTE: plot_psd() is a legacy function. New code should use .compute_psd().plot(). + Effective window size : 3.410 (s) + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 2 out of 4 | elapsed: 0.1s remaining: 0.1s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s remaining: 0.0s + [Parallel(n_jobs=4)]: Done 4 out of 4 | elapsed: 0.1s finished + NOTE: plot_psd() is a legacy function. New code should use .compute_psd().plot(). + NOTE: plot_psd() is a legacy function. New code should use .compute_psd().plot(). + + + + + + +| + +.. code-block:: default + + + import os.path as op + + import numpy as np + import matplotlib.pyplot as plt + + import mne + from mne.datasets import sample + + from jumeg.filter import jumeg_filter + + data_path = sample.data_path() + raw_fname = op.join(data_path, 'MEG/sample/sample_audvis_raw.fif') + + # load the raw data + raw = mne.io.Raw(raw_fname, preload=True) + picks = mne.pick_types(raw.info, meg='mag', exclude='bads') + print('Sampling frequency is %f' % raw.info['sfreq']) + + # plot the raw psd + fig = raw.plot_psd(tmin=0.0, tmax=160., fmin=0, fmax=np.inf, + picks=picks, ax=None, color='black', area_mode='std', + area_alpha=0.33, n_overlap=0, dB=True, average=True, + show=False, n_jobs=4, line_alpha=None, + spatial_colors=None, xscale='linear', verbose='ERROR'); + fig.suptitle('Original sprectrum') + + l_freq, h_freq = 1., 45. + + # apply FIR filter + fir_filt = raw.copy().filter(l_freq, h_freq, picks=picks, filter_length='auto', + l_trans_bandwidth='auto', h_trans_bandwidth='auto', + n_jobs=4, method='fir', iir_params=None, phase='zero', + fir_window='hamming', verbose='ERROR') + + # apply IIR filter + filter_type = 'butter' + filt_method = 'fft' + iir_params={'ftype': filter_type, 'order': 4} + + # apply IIR filter + iir_filt = raw.copy().filter(l_freq, h_freq, picks=picks, filter_length='auto', + l_trans_bandwidth='auto', h_trans_bandwidth='auto', + n_jobs=4, method='iir', iir_params=iir_params, phase='zero', + fir_window='hamming', verbose='ERROR') + + # apply the jumeg filter using mne + filt_ju_mne = jumeg_filter(filter_method='mne', filter_type='bp', fcut1=l_freq, fcut2=h_freq, + remove_dcoffset=True, sampling_frequency=raw.info['sfreq'], + filter_window='hamming', notch=np.array([50., 60.]), + notch_width=1.0, order=4, njobs=4, + mne_filter_method='fft',mne_filter_length='10s', + trans_bandwith=0.5) + ju_mne_filt = raw.copy() # make a copy + ju_mne_filt._data = filt_ju_mne.apply_filter(ju_mne_filt._data, picks) + + # apply the jumeg filter using bw + filt_ju_bw = jumeg_filter(filter_method='bw', filter_type='bp', fcut1=l_freq, fcut2=h_freq, + remove_dcoffset=True, sampling_frequency=raw.info['sfreq'], + filter_window='hamming', notch=np.array([50., 60.]), + notch_width=1.0, order=4, njobs=4, + mne_filter_method='fft',mne_filter_length='10s', + trans_bandwith=0.5) + filt_ju_bw.verbose = False + ju_bw_filt = raw.copy() # make a copy + filt_ju_bw.apply_filter(ju_bw_filt._data, picks) + + fig, (ax1, ax2) = plt.subplots(1, 2) + + # plot the jumeg MNE and jumeg Butterworth filtered raw psds + ju_mne_filt.plot_psd(tmin=0.0, tmax=160., fmin=0, fmax=70., n_fft=None, + picks=picks, ax=ax1, color='blue', area_mode='std', + area_alpha=0.33, n_overlap=0, dB=True, average=True, + show=False, n_jobs=4, line_alpha=None, + spatial_colors=None, xscale='linear', verbose=None); + + ju_bw_filt.plot_psd(tmin=0.0, tmax=160., fmin=0, fmax=70., n_fft=None, + picks=picks, ax=ax1, color='green', area_mode='std', + area_alpha=0.33, n_overlap=0, dB=True, average=True, + show=False, n_jobs=4, line_alpha=None, + spatial_colors=None, xscale='linear', verbose=None); + + ax1.set_xlim(0., 75.); + ax1.set_title('jumeg MNE (blue)/jumeg BW (green)'); + + # plot the MNE FIR and IIR filterered raw psds + fir_filt.plot_psd(tmin=0.0, tmax=160., fmin=0, fmax=70., n_fft=None, + picks=picks, ax=ax2, color='red', area_mode='std', + area_alpha=0.33, n_overlap=0, dB=True, average=True, + show=False, n_jobs=4, line_alpha=None, + spatial_colors=None, xscale='linear', verbose='ERROR'); + + iir_filt.plot_psd(tmin=0.0, tmax=160., fmin=0., fmax=70., n_fft=None, + picks=picks, ax=ax2, color='yellow', area_mode='std', + area_alpha=0.33, n_overlap=0, dB=True, average=True, + show=False, n_jobs=4, line_alpha=None, + spatial_colors=None, xscale='linear', verbose='ERROR'); + ax2.set_xlim(0., 75.); + ax2.set_title('MNE FIR (red)/ MNE IIR (yellow)'); + + fig.tight_layout() + plt.show() + + # Recommendation: Presently, it is best to use the MNE FIR filter for our + # filtering requirements. The jumeg filter module (which wraps around mne + # filter) may be used when the MNE band_pass_filter needs to be combined with + # the notch_filter. In cases where the notch frequencies are removed using the + # noise reducer, the mne FIR filter can be directly used. + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 4.103 seconds) + + +.. _sphx_glr_download_auto_examples_preprocessing_plot_compare_jumeg_filters.py: + +.. only:: html + + .. container:: sphx-glr-footer sphx-glr-footer-example + + + + + .. container:: sphx-glr-download sphx-glr-download-python + + :download:`Download Python source code: plot_compare_jumeg_filters.py ` + + .. container:: sphx-glr-download sphx-glr-download-jupyter + + :download:`Download Jupyter notebook: plot_compare_jumeg_filters.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/build/html/_sources/auto_examples/preprocessing/plot_interpolate_bads.rst.txt b/docs/build/html/_sources/auto_examples/preprocessing/plot_interpolate_bads.rst.txt new file mode 100644 index 00000000..c91e4ce7 --- /dev/null +++ b/docs/build/html/_sources/auto_examples/preprocessing/plot_interpolate_bads.rst.txt @@ -0,0 +1,210 @@ + +.. DO NOT EDIT. +.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. +.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: +.. "auto_examples/preprocessing/plot_interpolate_bads.py" +.. LINE NUMBERS ARE GIVEN BELOW. + +.. only:: html + + .. note:: + :class: sphx-glr-download-link-note + + :ref:`Go to the end ` + to download the full example code + +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_preprocessing_plot_interpolate_bads.py: + + +==================== +Plot and interpolate bads +==================== + +Use suggest_bads to automatically identify bad MEG channels +and use interpolate_bads based on the center of mass of the +sensors for bad channel correction. + +.. GENERATED FROM PYTHON SOURCE LINES 10-28 + + + + +.. rst-class:: sphx-glr-script-out + + .. code-block:: none + + Opening raw data file /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/MEG/sample/sample_audvis_raw.fif... + Read a total of 3 projection items: + PCA-v1 (1 x 102) idle + PCA-v2 (1 x 102) idle + PCA-v3 (1 x 102) idle + Range : 25800 ... 192599 = 42.956 ... 320.670 secs + Ready. + Reading 0 ... 166799 = 0.000 ... 277.714 secs... + epoch_length of 13 chosen + Not setting metadata + 21 matching events found + Setting baseline interval to [-6.500004268086219, 0.0] s + Applying baseline correction (mode: mean) + Created an SSP operator (subspace dimension = 3) + 3 projection items activated + Using data from preloaded Raw for 21 events and 7809 original time points ... + 1 bad epochs dropped + Using multitaper spectrum estimation with 7 DPSS windows + Suggested bads [jumps]: ['MEG 1443', 'MEG 2313', 'MEG 1743', 'MEG 1032', 'MEG 2443'] + Suggested bads [unusual]: ['MEG 1332', 'MEG 2612'] + Suggested bads [dead]: [] + Suggested bad channels: ['MEG 1443', 'MEG 2313', 'MEG 1743', 'MEG 2612', 'MEG 1032', 'EEG 053', 'MEG 1332', 'MEG 2443'] + >_interpolate_bads_meg\DBG> cog(sens) = [-0.00001 -0.00017 0.02427] + >_interpolate_bads_meg\DBG> alt(sens) = [ 0.00000 0.01417 -0.01307] + >_interpolate_bads_meg\DBG> cog(hdcs) = [-0.00916 0.00396 0.08851] + >_interpolate_bads_meg\DBG> alt(hdcs) = [-0.00506 0.01182 0.04950] + >_interpolate_bads_meg\DBG> calling _map_meg_channels(..., origin=(-0.00506 0.01182 0.04950)) + Computing interpolation matrix from 59 sensor positions + Interpolating 1 sensors + Computing dot products for 299 MEG channels... + [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers. + [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 2.3s remaining: 0.0s + [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 2.3s finished + Computing cross products for 299 → 7 MEG channels... + Preparing the mapping matrix... + Truncating at 83/299 components to omit less than 0.0001 (0.0001) + + +.. raw:: html + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Measurement dateDecember 03, 2002 19:01:10 GMT
ExperimenterMEG
ParticipantUnknown
Digitized points146 points
Good channels204 Gradiometers, 102 Magnetometers, 9 Stimulus, 60 EEG, 1 EOG
Bad channelsNone
EOG channelsEOG 061
ECG channelsNot available
Sampling frequency600.61 Hz
Highpass0.10 Hz
Lowpass172.18 Hz
ProjectionsPCA-v1 : off
PCA-v2 : off
PCA-v3 : off
Filenamessample_audvis_raw.fif
Duration00:04:38 (HH:MM:SS)
+
+
+
+ + + +| + +.. code-block:: default + + + import os.path as op + + import mne + from mne.datasets import sample + from jumeg import suggest_bads + from jumeg import interpolate_bads + + data_path = sample.data_path() + subjects_dir = op.join(data_path, 'subjects') + + raw_fname = op.join(data_path, 'MEG/sample/sample_audvis_raw.fif') + + raw = mne.io.Raw(raw_fname, preload=True) + mybads, raw = suggest_bads(raw, show_raw=False, summary_plot=False) + + # origin = None causes the method to use the sensor center of mass as origin + interpolate_bads(raw, origin=None, reset_bads=True) + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 11.574 seconds) + + +.. _sphx_glr_download_auto_examples_preprocessing_plot_interpolate_bads.py: + +.. only:: html + + .. container:: sphx-glr-footer sphx-glr-footer-example + + + + + .. container:: sphx-glr-download sphx-glr-download-python + + :download:`Download Python source code: plot_interpolate_bads.py ` + + .. container:: sphx-glr-download sphx-glr-download-jupyter + + :download:`Download Jupyter notebook: plot_interpolate_bads.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/build/html/_sources/auto_examples/preprocessing/plot_noise_reducer.rst.txt b/docs/build/html/_sources/auto_examples/preprocessing/plot_noise_reducer.rst.txt new file mode 100644 index 00000000..8038f2f0 --- /dev/null +++ b/docs/build/html/_sources/auto_examples/preprocessing/plot_noise_reducer.rst.txt @@ -0,0 +1,253 @@ + +.. DO NOT EDIT. +.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. +.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: +.. "auto_examples/preprocessing/plot_noise_reducer.py" +.. LINE NUMBERS ARE GIVEN BELOW. + +.. only:: html + + .. note:: + :class: sphx-glr-download-link-note + + :ref:`Go to the end ` + to download the full example code + +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_preprocessing_plot_noise_reducer.py: + + +==================== +Plot noise reducer +==================== + +Script to show the application of noise reducer on jusample data. + +.. GENERATED FROM PYTHON SOURCE LINES 9-77 + + + +.. image-sg:: /auto_examples/preprocessing/images/sphx_glr_plot_noise_reducer_001.png + :alt: Original, Notch filter 50Hz applied, Noise reducer notch filter 50Hz applied, Noise reducer high pass filtered 0.1Hz, Noise reducer low pass filtered 5Hz + :srcset: /auto_examples/preprocessing/images/sphx_glr_plot_noise_reducer_001.png + :class: sphx-glr-single-img + + +.. rst-class:: sphx-glr-script-out + + .. code-block:: none + + Opening raw data file /Users/praveen.sripad/nanna_data/meg_analysis/jusample_meg/recordings/207184/sample_207184_rest_EC-raw.fif... + Range : 6782 ... 47472 = 10.000 ... 70.000 secs + Ready. + Reading 0 ... 40690 = 0.000 ... 60.000 secs... + NOTE: plot_psd() is a legacy function. New code should use .compute_psd().plot(). + Effective window size : 3.020 (s) + /Users/praveen.sripad/seafile/repolib/mne/jumeg/examples/preprocessing/plot_noise_reducer.py:36: RuntimeWarning: (X, Y) fit (-0.4, 37.9) more than 20 mm from head frame origin + raw.plot_psd(fmin=0., fmax=100., tmin=None, tmax=60., + Filtering raw data in 1 contiguous segment + Setting up band-stop filter + + FIR filter parameters + --------------------- + Designing a two-pass forward and reverse, zero-phase, non-causal bandstop filter: + - Windowed time-domain design (firwin) method + - Hamming window with 0.0194 passband ripple and 53 dB stopband attenuation + - Lower transition bandwidth: 0.50 Hz + - Upper transition bandwidth: 0.50 Hz + - Filter length: 4477 samples (6.602 s) + + [Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers. + [Parallel(n_jobs=4)]: Done 14 tasks | elapsed: 1.1s + [Parallel(n_jobs=4)]: Done 208 tasks | elapsed: 1.3s + [Parallel(n_jobs=4)]: Done 248 out of 248 | elapsed: 1.3s finished + NOTE: plot_psd() is a legacy function. New code should use .compute_psd().plot(). + Effective window size : 3.020 (s) + /Users/praveen.sripad/seafile/repolib/mne/jumeg/examples/preprocessing/plot_noise_reducer.py:46: RuntimeWarning: (X, Y) fit (-0.4, 37.9) more than 20 mm from head frame origin + raw_notch.plot_psd(fmin=0., fmax=100., tmin=None, tmax=60., + Filtering raw data in 1 contiguous segment + Setting up band-stop filter + + FIR filter parameters + --------------------- + Designing a one-pass, zero-phase, non-causal bandstop filter: + - Windowed time-domain design (firwin) method + - Hann window with 0.0546 passband ripple and 44 dB stopband attenuation + - Lower transition bandwidth: 0.50 Hz + - Upper transition bandwidth: 0.50 Hz + - Filter length: 4205 samples (6.201 s) + + [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers. + [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=1)]: Done 2 out of 2 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=1)]: Done 3 out of 3 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=1)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=1)]: Done 23 out of 23 | elapsed: 0.0s finished + Rejecting epoch based on MAG : ['MEG 057'] + Artefact detected in [39984, 40120] + Rejecting epoch based on MAG : ['MEG 057'] + NOTE: plot_psd() is a legacy function. New code should use .compute_psd().plot(). + Effective window size : 3.020 (s) + /Users/praveen.sripad/seafile/repolib/mne/jumeg/examples/preprocessing/plot_noise_reducer.py:54: RuntimeWarning: (X, Y) fit (-0.4, 37.9) more than 20 mm from head frame origin + raw_nr_notch.plot_psd(fmin=0., fmax=100., tmin=None, tmax=60., + Filtering raw data in 1 contiguous segment + Setting up high-pass filter at 0.1 Hz + + FIR filter parameters + --------------------- + Designing a one-pass, zero-phase, non-causal highpass filter: + - Windowed time-domain design (firwin) method + - Hann window with 0.0546 passband ripple and 44 dB stopband attenuation + - Lower passband edge: 0.10 + - Lower transition bandwidth: 0.10 Hz (-6 dB cutoff frequency: 0.05 Hz) + - Filter length: 21025 samples (31.003 s) + + [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers. + [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=1)]: Done 2 out of 2 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=1)]: Done 3 out of 3 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=1)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=1)]: Done 23 out of 23 | elapsed: 0.0s finished + Rejecting epoch based on MAG : ['MEG 057'] + Artefact detected in [39984, 40120] + Rejecting epoch based on MAG : ['MEG 057'] + NOTE: plot_psd() is a legacy function. New code should use .compute_psd().plot(). + Effective window size : 3.020 (s) + /Users/praveen.sripad/seafile/repolib/mne/jumeg/examples/preprocessing/plot_noise_reducer.py:63: RuntimeWarning: (X, Y) fit (-0.4, 37.9) more than 20 mm from head frame origin + raw_nr2.plot_psd(fmin=0., fmax=100., tmin=None, tmax=60., + Filtering raw data in 1 contiguous segment + Setting up low-pass filter at 5 Hz + + FIR filter parameters + --------------------- + Designing a one-pass, zero-phase, non-causal lowpass filter: + - Windowed time-domain design (firwin) method + - Hann window with 0.0546 passband ripple and 44 dB stopband attenuation + - Upper passband edge: 5.00 Hz + - Upper transition bandwidth: 2.00 Hz (-6 dB cutoff frequency: 6.00 Hz) + - Filter length: 1053 samples (1.553 s) + + [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers. + [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=1)]: Done 2 out of 2 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=1)]: Done 3 out of 3 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=1)]: Done 4 out of 4 | elapsed: 0.0s remaining: 0.0s + [Parallel(n_jobs=1)]: Done 23 out of 23 | elapsed: 0.0s finished + Rejecting epoch based on MAG : ['MEG 057'] + Artefact detected in [39984, 40120] + Rejecting epoch based on MAG : ['MEG 057'] + NOTE: plot_psd() is a legacy function. New code should use .compute_psd().plot(). + Effective window size : 3.020 (s) + /Users/praveen.sripad/seafile/repolib/mne/jumeg/examples/preprocessing/plot_noise_reducer.py:71: RuntimeWarning: (X, Y) fit (-0.4, 37.9) more than 20 mm from head frame origin + raw_nr.plot_psd(fmin=0., fmax=100., tmin=None, tmax=60., + /Users/praveen.sripad/seafile/repolib/mne/jumeg/examples/preprocessing/plot_noise_reducer.py:75: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect. + plt.tight_layout() + + + + + + +| + +.. code-block:: default + + + import os + import os.path as op + import numpy as np + import matplotlib.pyplot as plt + from jumeg.jumeg_noise_reducer import noise_reducer + + import mne + + plt.ion() + + # load the jumeg sample data (has to be BTI) + if os.environ.get('JUSAMPLE_MEG_PATH'): + data_dir = os.environ['JUSAMPLE_MEG_PATH'] + else: + print('Data unavailable, skipping.') + sys.exit() + + subject = '207184' + raw_fname = op.join(data_dir, 'recordings', subject, + 'sample_207184_rest_EC-raw.fif') + + raw = mne.io.Raw(raw_fname, preload=True) + + fig, (ax1, ax2, ax3, ax4, ax5) = plt.subplots(5, 1, sharex=True, sharey=True) + + picks = mne.pick_types(raw.info, meg='mag', exclude='bads') + raw.plot_psd(fmin=0., fmax=100., tmin=None, tmax=60., + n_fft=None, picks=picks, ax=ax1); + ax1.set_title('Original') + + # notch filter + raw_notch = raw.copy().notch_filter(np.arange(50, 251, 50), picks=picks, + filter_length='auto', + notch_widths=None, n_jobs=4, method='fir', + phase='zero-double', + fir_window='hamming', fir_design='firwin') + raw_notch.plot_psd(fmin=0., fmax=100., tmin=None, tmax=60., + n_fft=None, picks=picks, ax=ax2); + ax2.set_title('Notch filter 50Hz applied') + + # powerline removal using noise_reducer + raw_nr_notch = noise_reducer(raw_fname, raw=raw.copy(), detrending=False, + reflp=None, refhp=None, refnotch=[50., 100., 150.], + return_raw=True, verbose=False) + raw_nr_notch.plot_psd(fmin=0., fmax=100., tmin=None, tmax=60., + n_fft=None, picks=picks, ax=ax3); + ax3.set_title('Noise reducer notch filter 50Hz applied') + + + # remove high freq noise (>0.1Hz) from ref channels + raw_nr2 = noise_reducer(raw_fname, raw=raw_nr_notch, detrending=False, + reflp=None, refhp=0.1, refnotch=None, + return_raw=True, verbose=False) + raw_nr2.plot_psd(fmin=0., fmax=100., tmin=None, tmax=60., + n_fft=None, picks=picks, ax=ax4); + ax4.set_title('Noise reducer high pass filtered 0.1Hz') + + # remove low freq noise (<5Hz) from ref channels + raw_nr = noise_reducer(raw_fname, raw=raw_nr2, detrending=False, + reflp=5., refhp=None, refnotch=None, + return_raw=True, verbose=False) + raw_nr.plot_psd(fmin=0., fmax=100., tmin=None, tmax=60., + n_fft=None, picks=picks, ax=ax5); + ax5.set_title('Noise reducer low pass filtered 5Hz') + + plt.tight_layout() + plt.show() + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 8.625 seconds) + + +.. _sphx_glr_download_auto_examples_preprocessing_plot_noise_reducer.py: + +.. only:: html + + .. container:: sphx-glr-footer sphx-glr-footer-example + + + + + .. container:: sphx-glr-download sphx-glr-download-python + + :download:`Download Python source code: plot_noise_reducer.py ` + + .. container:: sphx-glr-download sphx-glr-download-jupyter + + :download:`Download Jupyter notebook: plot_noise_reducer.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/build/html/_sources/auto_examples/preprocessing/plot_suggest_bads.rst.txt b/docs/build/html/_sources/auto_examples/preprocessing/plot_suggest_bads.rst.txt new file mode 100644 index 00000000..c8bd22c1 --- /dev/null +++ b/docs/build/html/_sources/auto_examples/preprocessing/plot_suggest_bads.rst.txt @@ -0,0 +1,111 @@ + +.. DO NOT EDIT. +.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. +.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: +.. "auto_examples/preprocessing/plot_suggest_bads.py" +.. LINE NUMBERS ARE GIVEN BELOW. + +.. only:: html + + .. note:: + :class: sphx-glr-download-link-note + + :ref:`Go to the end ` + to download the full example code + +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_preprocessing_plot_suggest_bads.py: + + +==================== +Plot suggest bads. +==================== + +Example code to use the jumeg suggest bads functionality. + +.. GENERATED FROM PYTHON SOURCE LINES 9-23 + + + + +.. rst-class:: sphx-glr-script-out + + .. code-block:: none + + Opening raw data file /Users/praveen.sripad/nanna_data/mne_data/MNE-sample-data/MEG/sample/sample_audvis_raw.fif... + Read a total of 3 projection items: + PCA-v1 (1 x 102) idle + PCA-v2 (1 x 102) idle + PCA-v3 (1 x 102) idle + Range : 25800 ... 192599 = 42.956 ... 320.670 secs + Ready. + Reading 0 ... 166799 = 0.000 ... 277.714 secs... + epoch_length of 13 chosen + Not setting metadata + 21 matching events found + Setting baseline interval to [-6.500004268086219, 0.0] s + Applying baseline correction (mode: mean) + Created an SSP operator (subspace dimension = 3) + 3 projection items activated + Using data from preloaded Raw for 21 events and 7809 original time points ... + 1 bad epochs dropped + Using multitaper spectrum estimation with 7 DPSS windows + Suggested bads [jumps]: ['MEG 1443', 'MEG 2313', 'MEG 1743', 'MEG 1032', 'MEG 2443'] + Suggested bads [unusual]: ['MEG 1332', 'MEG 2612'] + Suggested bads [dead]: [] + Suggested bad channels: ['MEG 1443', 'MEG 2313', 'MEG 1743', 'MEG 2612', 'MEG 1032', 'EEG 053', 'MEG 1332', 'MEG 2443'] + + + + + + +| + +.. code-block:: default + + + import os.path as op + import mne + from mne.datasets import sample + from jumeg import suggest_bads + + # provide the path of the filename: + data_path = sample.data_path() + subjects_dir = op.join(data_path, 'subjects') + raw_fname = op.join(data_path, 'MEG/sample/sample_audvis_raw.fif') + + raw = mne.io.Raw(raw_fname, preload=True) + + mybads, raw = suggest_bads(raw, show_raw=False, summary_plot=False) + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 9.547 seconds) + + +.. _sphx_glr_download_auto_examples_preprocessing_plot_suggest_bads.py: + +.. only:: html + + .. container:: sphx-glr-footer sphx-glr-footer-example + + + + + .. container:: sphx-glr-download sphx-glr-download-python + + :download:`Download Python source code: plot_suggest_bads.py ` + + .. container:: sphx-glr-download sphx-glr-download-jupyter + + :download:`Download Jupyter notebook: plot_suggest_bads.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/build/html/_sources/auto_examples/preprocessing/sg_execution_times.rst.txt b/docs/build/html/_sources/auto_examples/preprocessing/sg_execution_times.rst.txt new file mode 100644 index 00000000..2d7d579b --- /dev/null +++ b/docs/build/html/_sources/auto_examples/preprocessing/sg_execution_times.rst.txt @@ -0,0 +1,19 @@ + +:orphan: + +.. _sphx_glr_auto_examples_preprocessing_sg_execution_times: + + +Computation times +================= +**00:33.850** total execution time for **auto_examples_preprocessing** files: + ++---------------------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_examples_preprocessing_plot_interpolate_bads.py` (``plot_interpolate_bads.py``) | 00:11.574 | 0.0 MB | ++---------------------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_examples_preprocessing_plot_suggest_bads.py` (``plot_suggest_bads.py``) | 00:09.547 | 0.0 MB | ++---------------------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_examples_preprocessing_plot_noise_reducer.py` (``plot_noise_reducer.py``) | 00:08.625 | 0.0 MB | ++---------------------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_examples_preprocessing_plot_compare_jumeg_filters.py` (``plot_compare_jumeg_filters.py``) | 00:04.103 | 0.0 MB | ++---------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/docs/build/html/_sources/generated/jumeg.connectivity.causality.check_model_order.rst.txt b/docs/build/html/_sources/generated/jumeg.connectivity.causality.check_model_order.rst.txt new file mode 100644 index 00000000..195c52fe --- /dev/null +++ b/docs/build/html/_sources/generated/jumeg.connectivity.causality.check_model_order.rst.txt @@ -0,0 +1,6 @@ +jumeg.connectivity.causality.check\_model\_order +================================================ + +.. currentmodule:: jumeg.connectivity.causality + +.. autofunction:: check_model_order \ No newline at end of file diff --git a/docs/build/html/_sources/generated/jumeg.connectivity.causality.check_whiteness_and_consistency.rst.txt b/docs/build/html/_sources/generated/jumeg.connectivity.causality.check_whiteness_and_consistency.rst.txt new file mode 100644 index 00000000..9d162fad --- /dev/null +++ b/docs/build/html/_sources/generated/jumeg.connectivity.causality.check_whiteness_and_consistency.rst.txt @@ -0,0 +1,6 @@ +jumeg.connectivity.causality.check\_whiteness\_and\_consistency +=============================================================== + +.. currentmodule:: jumeg.connectivity.causality + +.. autofunction:: check_whiteness_and_consistency \ No newline at end of file diff --git a/docs/build/html/_sources/generated/jumeg.connectivity.causality.compute_causal_outflow_inflow.rst.txt b/docs/build/html/_sources/generated/jumeg.connectivity.causality.compute_causal_outflow_inflow.rst.txt new file mode 100644 index 00000000..a002d760 --- /dev/null +++ b/docs/build/html/_sources/generated/jumeg.connectivity.causality.compute_causal_outflow_inflow.rst.txt @@ -0,0 +1,6 @@ +jumeg.connectivity.causality.compute\_causal\_outflow\_inflow +============================================================= + +.. currentmodule:: jumeg.connectivity.causality + +.. autofunction:: compute_causal_outflow_inflow \ No newline at end of file diff --git a/docs/build/html/_sources/generated/jumeg.connectivity.causality.compute_order.rst.txt b/docs/build/html/_sources/generated/jumeg.connectivity.causality.compute_order.rst.txt new file mode 100644 index 00000000..c8a7a1d9 --- /dev/null +++ b/docs/build/html/_sources/generated/jumeg.connectivity.causality.compute_order.rst.txt @@ -0,0 +1,6 @@ +jumeg.connectivity.causality.compute\_order +=========================================== + +.. currentmodule:: jumeg.connectivity.causality + +.. autofunction:: compute_order \ No newline at end of file diff --git a/docs/build/html/_sources/generated/jumeg.connectivity.causality.compute_order_extended.rst.txt b/docs/build/html/_sources/generated/jumeg.connectivity.causality.compute_order_extended.rst.txt new file mode 100644 index 00000000..88a947f6 --- /dev/null +++ b/docs/build/html/_sources/generated/jumeg.connectivity.causality.compute_order_extended.rst.txt @@ -0,0 +1,6 @@ +jumeg.connectivity.causality.compute\_order\_extended +===================================================== + +.. currentmodule:: jumeg.connectivity.causality + +.. autofunction:: compute_order_extended \ No newline at end of file diff --git a/docs/build/html/_sources/generated/jumeg.connectivity.causality.consistency.rst.txt b/docs/build/html/_sources/generated/jumeg.connectivity.causality.consistency.rst.txt new file mode 100644 index 00000000..f2bcdaf6 --- /dev/null +++ b/docs/build/html/_sources/generated/jumeg.connectivity.causality.consistency.rst.txt @@ -0,0 +1,6 @@ +jumeg.connectivity.causality.consistency +======================================== + +.. currentmodule:: jumeg.connectivity.causality + +.. autofunction:: consistency \ No newline at end of file diff --git a/docs/build/html/_sources/generated/jumeg.connectivity.causality.do_mvar_evaluation.rst.txt b/docs/build/html/_sources/generated/jumeg.connectivity.causality.do_mvar_evaluation.rst.txt new file mode 100644 index 00000000..fc4fbdc2 --- /dev/null +++ b/docs/build/html/_sources/generated/jumeg.connectivity.causality.do_mvar_evaluation.rst.txt @@ -0,0 +1,6 @@ +jumeg.connectivity.causality.do\_mvar\_evaluation +================================================= + +.. currentmodule:: jumeg.connectivity.causality + +.. autofunction:: do_mvar_evaluation \ No newline at end of file diff --git a/docs/build/html/_sources/generated/jumeg.connectivity.causality.dw_whiteness.rst.txt b/docs/build/html/_sources/generated/jumeg.connectivity.causality.dw_whiteness.rst.txt new file mode 100644 index 00000000..899bf4dc --- /dev/null +++ b/docs/build/html/_sources/generated/jumeg.connectivity.causality.dw_whiteness.rst.txt @@ -0,0 +1,6 @@ +jumeg.connectivity.causality.dw\_whiteness +========================================== + +.. currentmodule:: jumeg.connectivity.causality + +.. autofunction:: dw_whiteness \ No newline at end of file diff --git a/docs/build/html/_sources/generated/jumeg.connectivity.causality.make_frequency_bands.rst.txt b/docs/build/html/_sources/generated/jumeg.connectivity.causality.make_frequency_bands.rst.txt new file mode 100644 index 00000000..abe2c92b --- /dev/null +++ b/docs/build/html/_sources/generated/jumeg.connectivity.causality.make_frequency_bands.rst.txt @@ -0,0 +1,6 @@ +jumeg.connectivity.causality.make\_frequency\_bands +=================================================== + +.. currentmodule:: jumeg.connectivity.causality + +.. autofunction:: make_frequency_bands \ No newline at end of file diff --git a/docs/build/html/_sources/generated/jumeg.connectivity.causality.prepare_causality_matrix.rst.txt b/docs/build/html/_sources/generated/jumeg.connectivity.causality.prepare_causality_matrix.rst.txt new file mode 100644 index 00000000..94851161 --- /dev/null +++ b/docs/build/html/_sources/generated/jumeg.connectivity.causality.prepare_causality_matrix.rst.txt @@ -0,0 +1,6 @@ +jumeg.connectivity.causality.prepare\_causality\_matrix +======================================================= + +.. currentmodule:: jumeg.connectivity.causality + +.. autofunction:: prepare_causality_matrix \ No newline at end of file diff --git a/docs/build/html/_sources/generated/jumeg.connectivity.find_distances_matrix.rst.txt b/docs/build/html/_sources/generated/jumeg.connectivity.find_distances_matrix.rst.txt new file mode 100644 index 00000000..9f637b4f --- /dev/null +++ b/docs/build/html/_sources/generated/jumeg.connectivity.find_distances_matrix.rst.txt @@ -0,0 +1,6 @@ +jumeg.connectivity.find\_distances\_matrix +========================================== + +.. currentmodule:: jumeg.connectivity + +.. autofunction:: find_distances_matrix \ No newline at end of file diff --git a/docs/build/html/_sources/generated/jumeg.connectivity.get_label_distances.rst.txt b/docs/build/html/_sources/generated/jumeg.connectivity.get_label_distances.rst.txt new file mode 100644 index 00000000..82f9f3b4 --- /dev/null +++ b/docs/build/html/_sources/generated/jumeg.connectivity.get_label_distances.rst.txt @@ -0,0 +1,6 @@ +jumeg.connectivity.get\_label\_distances +======================================== + +.. currentmodule:: jumeg.connectivity + +.. autofunction:: get_label_distances \ No newline at end of file diff --git a/docs/build/html/_sources/generated/jumeg.connectivity.make_annot_from_csv.rst.txt b/docs/build/html/_sources/generated/jumeg.connectivity.make_annot_from_csv.rst.txt new file mode 100644 index 00000000..5f74df97 --- /dev/null +++ b/docs/build/html/_sources/generated/jumeg.connectivity.make_annot_from_csv.rst.txt @@ -0,0 +1,6 @@ +jumeg.connectivity.make\_annot\_from\_csv +========================================= + +.. currentmodule:: jumeg.connectivity + +.. autofunction:: make_annot_from_csv \ No newline at end of file diff --git a/docs/build/html/_sources/generated/jumeg.connectivity.plot_degree_circle.rst.txt b/docs/build/html/_sources/generated/jumeg.connectivity.plot_degree_circle.rst.txt new file mode 100644 index 00000000..08686008 --- /dev/null +++ b/docs/build/html/_sources/generated/jumeg.connectivity.plot_degree_circle.rst.txt @@ -0,0 +1,6 @@ +jumeg.connectivity.plot\_degree\_circle +======================================= + +.. currentmodule:: jumeg.connectivity + +.. autofunction:: plot_degree_circle \ No newline at end of file diff --git a/docs/build/html/_sources/generated/jumeg.connectivity.plot_fica_grouped_circle.rst.txt b/docs/build/html/_sources/generated/jumeg.connectivity.plot_fica_grouped_circle.rst.txt new file mode 100644 index 00000000..5e5966aa --- /dev/null +++ b/docs/build/html/_sources/generated/jumeg.connectivity.plot_fica_grouped_circle.rst.txt @@ -0,0 +1,6 @@ +jumeg.connectivity.plot\_fica\_grouped\_circle +============================================== + +.. currentmodule:: jumeg.connectivity + +.. autofunction:: plot_fica_grouped_circle \ No newline at end of file diff --git a/docs/build/html/_sources/generated/jumeg.connectivity.plot_generic_grouped_circle.rst.txt b/docs/build/html/_sources/generated/jumeg.connectivity.plot_generic_grouped_circle.rst.txt new file mode 100644 index 00000000..5da8e1de --- /dev/null +++ b/docs/build/html/_sources/generated/jumeg.connectivity.plot_generic_grouped_circle.rst.txt @@ -0,0 +1,6 @@ +jumeg.connectivity.plot\_generic\_grouped\_circle +================================================= + +.. currentmodule:: jumeg.connectivity + +.. autofunction:: plot_generic_grouped_circle \ No newline at end of file diff --git a/docs/build/html/_sources/generated/jumeg.connectivity.plot_grouped_causality_circle.rst.txt b/docs/build/html/_sources/generated/jumeg.connectivity.plot_grouped_causality_circle.rst.txt new file mode 100644 index 00000000..acbcfa7f --- /dev/null +++ b/docs/build/html/_sources/generated/jumeg.connectivity.plot_grouped_causality_circle.rst.txt @@ -0,0 +1,6 @@ +jumeg.connectivity.plot\_grouped\_causality\_circle +=================================================== + +.. currentmodule:: jumeg.connectivity + +.. autofunction:: plot_grouped_causality_circle \ No newline at end of file diff --git a/docs/build/html/_sources/generated/jumeg.connectivity.plot_grouped_connectivity_circle.rst.txt b/docs/build/html/_sources/generated/jumeg.connectivity.plot_grouped_connectivity_circle.rst.txt new file mode 100644 index 00000000..b1fa6cd1 --- /dev/null +++ b/docs/build/html/_sources/generated/jumeg.connectivity.plot_grouped_connectivity_circle.rst.txt @@ -0,0 +1,6 @@ +jumeg.connectivity.plot\_grouped\_connectivity\_circle +====================================================== + +.. currentmodule:: jumeg.connectivity + +.. autofunction:: plot_grouped_connectivity_circle \ No newline at end of file diff --git a/docs/build/html/_sources/generated/jumeg.connectivity.plot_labelled_group_connectivity_circle.rst.txt b/docs/build/html/_sources/generated/jumeg.connectivity.plot_labelled_group_connectivity_circle.rst.txt new file mode 100644 index 00000000..9a31bc98 --- /dev/null +++ b/docs/build/html/_sources/generated/jumeg.connectivity.plot_labelled_group_connectivity_circle.rst.txt @@ -0,0 +1,6 @@ +jumeg.connectivity.plot\_labelled\_group\_connectivity\_circle +============================================================== + +.. currentmodule:: jumeg.connectivity + +.. autofunction:: plot_labelled_group_connectivity_circle \ No newline at end of file diff --git a/docs/build/html/_sources/generated/jumeg.connectivity.plot_lines_and_blobs.rst.txt b/docs/build/html/_sources/generated/jumeg.connectivity.plot_lines_and_blobs.rst.txt new file mode 100644 index 00000000..a846d96d --- /dev/null +++ b/docs/build/html/_sources/generated/jumeg.connectivity.plot_lines_and_blobs.rst.txt @@ -0,0 +1,6 @@ +jumeg.connectivity.plot\_lines\_and\_blobs +========================================== + +.. currentmodule:: jumeg.connectivity + +.. autofunction:: plot_lines_and_blobs \ No newline at end of file diff --git a/docs/build/html/_sources/generated/jumeg.connectivity.sensor_connectivity_3d.rst.txt b/docs/build/html/_sources/generated/jumeg.connectivity.sensor_connectivity_3d.rst.txt new file mode 100644 index 00000000..5390977b --- /dev/null +++ b/docs/build/html/_sources/generated/jumeg.connectivity.sensor_connectivity_3d.rst.txt @@ -0,0 +1,6 @@ +jumeg.connectivity.sensor\_connectivity\_3d +=========================================== + +.. currentmodule:: jumeg.connectivity + +.. autofunction:: sensor_connectivity_3d \ No newline at end of file diff --git a/docs/build/html/_sources/generated/jumeg.connectivity.weighted_con_matrix.rst.txt b/docs/build/html/_sources/generated/jumeg.connectivity.weighted_con_matrix.rst.txt new file mode 100644 index 00000000..35806312 --- /dev/null +++ b/docs/build/html/_sources/generated/jumeg.connectivity.weighted_con_matrix.rst.txt @@ -0,0 +1,6 @@ +jumeg.connectivity.weighted\_con\_matrix +======================================== + +.. currentmodule:: jumeg.connectivity + +.. autofunction:: weighted_con_matrix \ No newline at end of file diff --git a/docs/build/html/_sources/index.rst.txt b/docs/build/html/_sources/index.rst.txt new file mode 100644 index 00000000..838653f2 --- /dev/null +++ b/docs/build/html/_sources/index.rst.txt @@ -0,0 +1,17 @@ +JUMEG +===== + +This is a set of tools used for MEEG processing at FZJ. + +In no way is this a well rounded usable package but more of a starting point for ideas and a landing point for references. + +It is also not well maintained, so use at your own risk. + +Installation +------------ + +The installation procedure is described `here `_. + +.. toctree:: + :maxdepth: 1 + diff --git a/docs/build/html/_static/_sphinx_javascript_frameworks_compat.js b/docs/build/html/_static/_sphinx_javascript_frameworks_compat.js new file mode 100644 index 00000000..8549469d --- /dev/null +++ b/docs/build/html/_static/_sphinx_javascript_frameworks_compat.js @@ -0,0 +1,134 @@ +/* + * _sphinx_javascript_frameworks_compat.js + * ~~~~~~~~~~ + * + * Compatability shim for jQuery and underscores.js. + * + * WILL BE REMOVED IN Sphinx 6.0 + * xref RemovedInSphinx60Warning + * + */ + +/** + * select a different prefix for underscore + */ +$u = _.noConflict(); + + +/** + * small helper function to urldecode strings + * + * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/decodeURIComponent#Decoding_query_parameters_from_a_URL + */ +jQuery.urldecode = function(x) { + if (!x) { + return x + } + return decodeURIComponent(x.replace(/\+/g, ' ')); +}; + +/** + * small helper function to urlencode strings + */ +jQuery.urlencode = encodeURIComponent; + +/** + * This function returns the parsed url parameters of the + * current request. Multiple values per key are supported, + * it will always return arrays of strings for the value parts. + */ +jQuery.getQueryParameters = function(s) { + if (typeof s === 'undefined') + s = document.location.search; + var parts = s.substr(s.indexOf('?') + 1).split('&'); + var result = {}; + for (var i = 0; i < parts.length; i++) { + var tmp = parts[i].split('=', 2); + var key = jQuery.urldecode(tmp[0]); + var value = jQuery.urldecode(tmp[1]); + if (key in result) + result[key].push(value); + else + result[key] = [value]; + } + return result; +}; + +/** + * highlight a given string on a jquery object by wrapping it in + * span elements with the given class name. + */ +jQuery.fn.highlightText = function(text, className) { + function highlight(node, addItems) { + if (node.nodeType === 3) { + var val = node.nodeValue; + var pos = val.toLowerCase().indexOf(text); + if (pos >= 0 && + !jQuery(node.parentNode).hasClass(className) && + !jQuery(node.parentNode).hasClass("nohighlight")) { + var span; + var isInSVG = jQuery(node).closest("body, svg, foreignObject").is("svg"); + if (isInSVG) { + span = document.createElementNS("http://www.w3.org/2000/svg", "tspan"); + } else { + span = document.createElement("span"); + span.className = className; + } + span.appendChild(document.createTextNode(val.substr(pos, text.length))); + node.parentNode.insertBefore(span, node.parentNode.insertBefore( + document.createTextNode(val.substr(pos + text.length)), + node.nextSibling)); + node.nodeValue = val.substr(0, pos); + if (isInSVG) { + var rect = document.createElementNS("http://www.w3.org/2000/svg", "rect"); + var bbox = node.parentElement.getBBox(); + rect.x.baseVal.value = bbox.x; + rect.y.baseVal.value = bbox.y; + rect.width.baseVal.value = bbox.width; + rect.height.baseVal.value = bbox.height; + rect.setAttribute('class', className); + addItems.push({ + "parent": node.parentNode, + "target": rect}); + } + } + } + else if (!jQuery(node).is("button, select, textarea")) { + jQuery.each(node.childNodes, function() { + highlight(this, addItems); + }); + } + } + var addItems = []; + var result = this.each(function() { + highlight(this, addItems); + }); + for (var i = 0; i < addItems.length; ++i) { + jQuery(addItems[i].parent).before(addItems[i].target); + } + return result; +}; + +/* + * backward compatibility for jQuery.browser + * This will be supported until firefox bug is fixed. + */ +if (!jQuery.browser) { + jQuery.uaMatch = function(ua) { + ua = ua.toLowerCase(); + + var match = /(chrome)[ \/]([\w.]+)/.exec(ua) || + /(webkit)[ \/]([\w.]+)/.exec(ua) || + /(opera)(?:.*version|)[ \/]([\w.]+)/.exec(ua) || + /(msie) ([\w.]+)/.exec(ua) || + ua.indexOf("compatible") < 0 && /(mozilla)(?:.*? rv:([\w.]+)|)/.exec(ua) || + []; + + return { + browser: match[ 1 ] || "", + version: match[ 2 ] || "0" + }; + }; + jQuery.browser = {}; + jQuery.browser[jQuery.uaMatch(navigator.userAgent).browser] = true; +} diff --git a/docs/build/html/_static/basic.css b/docs/build/html/_static/basic.css new file mode 100644 index 00000000..7577acb1 --- /dev/null +++ b/docs/build/html/_static/basic.css @@ -0,0 +1,903 @@ +/* + * basic.css + * ~~~~~~~~~ + * + * Sphinx stylesheet -- basic theme. + * + * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS. + * :license: BSD, see LICENSE for details. + * + */ + +/* -- main layout ----------------------------------------------------------- */ + +div.clearer { + clear: both; +} + +div.section::after { + display: block; + content: ''; + clear: left; +} + +/* -- relbar ---------------------------------------------------------------- */ + +div.related { + width: 100%; + font-size: 90%; +} + +div.related h3 { + display: none; +} + +div.related ul { + margin: 0; + padding: 0 0 0 10px; + list-style: none; +} + +div.related li { + display: inline; +} + +div.related li.right { + float: right; + margin-right: 5px; +} + +/* -- sidebar --------------------------------------------------------------- */ + +div.sphinxsidebarwrapper { + padding: 10px 5px 0 10px; +} + +div.sphinxsidebar { + float: left; + width: 230px; + margin-left: -100%; + font-size: 90%; + word-wrap: break-word; + overflow-wrap : break-word; +} + +div.sphinxsidebar ul { + list-style: none; +} + +div.sphinxsidebar ul ul, +div.sphinxsidebar ul.want-points { + margin-left: 20px; + list-style: square; +} + +div.sphinxsidebar ul ul { + margin-top: 0; + margin-bottom: 0; +} + +div.sphinxsidebar form { + margin-top: 10px; +} + +div.sphinxsidebar input { + border: 1px solid #98dbcc; + font-family: sans-serif; + font-size: 1em; +} + +div.sphinxsidebar #searchbox form.search { + overflow: hidden; +} + +div.sphinxsidebar #searchbox input[type="text"] { + float: left; + width: 80%; + padding: 0.25em; + box-sizing: border-box; +} + +div.sphinxsidebar #searchbox input[type="submit"] { + float: left; + width: 20%; + border-left: none; + padding: 0.25em; + box-sizing: border-box; +} + + +img { + border: 0; + max-width: 100%; +} + +/* -- search page ----------------------------------------------------------- */ + +ul.search { + margin: 10px 0 0 20px; + padding: 0; +} + +ul.search li { + padding: 5px 0 5px 20px; + background-image: url(file.png); + background-repeat: no-repeat; + background-position: 0 7px; +} + +ul.search li a { + font-weight: bold; +} + +ul.search li p.context { + color: #888; + margin: 2px 0 0 30px; + text-align: left; +} + +ul.keywordmatches li.goodmatch a { + font-weight: bold; +} + +/* -- index page ------------------------------------------------------------ */ + +table.contentstable { + width: 90%; + margin-left: auto; + margin-right: auto; +} + +table.contentstable p.biglink { + line-height: 150%; +} + +a.biglink { + font-size: 1.3em; +} + +span.linkdescr { + font-style: italic; + padding-top: 5px; + font-size: 90%; +} + +/* -- general index --------------------------------------------------------- */ + +table.indextable { + width: 100%; +} + +table.indextable td { + text-align: left; + vertical-align: top; +} + +table.indextable ul { + margin-top: 0; + margin-bottom: 0; + list-style-type: none; +} + +table.indextable > tbody > tr > td > ul { + padding-left: 0em; +} + +table.indextable tr.pcap { + height: 10px; +} + +table.indextable tr.cap { + margin-top: 10px; + background-color: #f2f2f2; +} + +img.toggler { + margin-right: 3px; + margin-top: 3px; + cursor: pointer; +} + +div.modindex-jumpbox { + border-top: 1px solid #ddd; + border-bottom: 1px solid #ddd; + margin: 1em 0 1em 0; + padding: 0.4em; +} + +div.genindex-jumpbox { + border-top: 1px solid #ddd; + border-bottom: 1px solid #ddd; + margin: 1em 0 1em 0; + padding: 0.4em; +} + +/* -- domain module index --------------------------------------------------- */ + +table.modindextable td { + padding: 2px; + border-collapse: collapse; +} + +/* -- general body styles --------------------------------------------------- */ + +div.body { + min-width: 360px; + max-width: 800px; +} + +div.body p, div.body dd, div.body li, div.body blockquote { + -moz-hyphens: auto; + -ms-hyphens: auto; + -webkit-hyphens: auto; + hyphens: auto; +} + +a.headerlink { + visibility: hidden; +} + +h1:hover > a.headerlink, +h2:hover > a.headerlink, +h3:hover > a.headerlink, +h4:hover > a.headerlink, +h5:hover > a.headerlink, +h6:hover > a.headerlink, +dt:hover > a.headerlink, +caption:hover > a.headerlink, +p.caption:hover > a.headerlink, +div.code-block-caption:hover > a.headerlink { + visibility: visible; +} + +div.body p.caption { + text-align: inherit; +} + +div.body td { + text-align: left; +} + +.first { + margin-top: 0 !important; +} + +p.rubric { + margin-top: 30px; + font-weight: bold; +} + +img.align-left, figure.align-left, .figure.align-left, object.align-left { + clear: left; + float: left; + margin-right: 1em; +} + +img.align-right, figure.align-right, .figure.align-right, object.align-right { + clear: right; + float: right; + margin-left: 1em; +} + +img.align-center, figure.align-center, .figure.align-center, object.align-center { + display: block; + margin-left: auto; + margin-right: auto; +} + +img.align-default, figure.align-default, .figure.align-default { + display: block; + margin-left: auto; + margin-right: auto; +} + +.align-left { + text-align: left; +} + +.align-center { + text-align: center; +} + +.align-default { + text-align: center; +} + +.align-right { + text-align: right; +} + +/* -- sidebars -------------------------------------------------------------- */ + +div.sidebar, +aside.sidebar { + margin: 0 0 0.5em 1em; + border: 1px solid #ddb; + padding: 7px; + background-color: #ffe; + width: 40%; + float: right; + clear: right; + overflow-x: auto; +} + +p.sidebar-title { + font-weight: bold; +} + +nav.contents, +aside.topic, +div.admonition, div.topic, blockquote { + clear: left; +} + +/* -- topics ---------------------------------------------------------------- */ + +nav.contents, +aside.topic, +div.topic { + border: 1px solid #ccc; + padding: 7px; + margin: 10px 0 10px 0; +} + +p.topic-title { + font-size: 1.1em; + font-weight: bold; + margin-top: 10px; +} + +/* -- admonitions ----------------------------------------------------------- */ + +div.admonition { + margin-top: 10px; + margin-bottom: 10px; + padding: 7px; +} + +div.admonition dt { + font-weight: bold; +} + +p.admonition-title { + margin: 0px 10px 5px 0px; + font-weight: bold; +} + +div.body p.centered { + text-align: center; + margin-top: 25px; +} + +/* -- content of sidebars/topics/admonitions -------------------------------- */ + +div.sidebar > :last-child, +aside.sidebar > :last-child, +nav.contents > :last-child, +aside.topic > :last-child, +div.topic > :last-child, +div.admonition > :last-child { + margin-bottom: 0; +} + +div.sidebar::after, +aside.sidebar::after, +nav.contents::after, +aside.topic::after, +div.topic::after, +div.admonition::after, +blockquote::after { + display: block; + content: ''; + clear: both; +} + +/* -- tables ---------------------------------------------------------------- */ + +table.docutils { + margin-top: 10px; + margin-bottom: 10px; + border: 0; + border-collapse: collapse; +} + +table.align-center { + margin-left: auto; + margin-right: auto; +} + +table.align-default { + margin-left: auto; + margin-right: auto; +} + +table caption span.caption-number { + font-style: italic; +} + +table caption span.caption-text { +} + +table.docutils td, table.docutils th { + padding: 1px 8px 1px 5px; + border-top: 0; + border-left: 0; + border-right: 0; + border-bottom: 1px solid #aaa; +} + +th { + text-align: left; + padding-right: 5px; +} + +table.citation { + border-left: solid 1px gray; + margin-left: 1px; +} + +table.citation td { + border-bottom: none; +} + +th > :first-child, +td > :first-child { + margin-top: 0px; +} + +th > :last-child, +td > :last-child { + margin-bottom: 0px; +} + +/* -- figures --------------------------------------------------------------- */ + +div.figure, figure { + margin: 0.5em; + padding: 0.5em; +} + +div.figure p.caption, figcaption { + padding: 0.3em; +} + +div.figure p.caption span.caption-number, +figcaption span.caption-number { + font-style: italic; +} + +div.figure p.caption span.caption-text, +figcaption span.caption-text { +} + +/* -- field list styles ----------------------------------------------------- */ + +table.field-list td, table.field-list th { + border: 0 !important; +} + +.field-list ul { + margin: 0; + padding-left: 1em; +} + +.field-list p { + margin: 0; +} + +.field-name { + -moz-hyphens: manual; + -ms-hyphens: manual; + -webkit-hyphens: manual; + hyphens: manual; +} + +/* -- hlist styles ---------------------------------------------------------- */ + +table.hlist { + margin: 1em 0; +} + +table.hlist td { + vertical-align: top; +} + +/* -- object description styles --------------------------------------------- */ + +.sig { + font-family: 'Consolas', 'Menlo', 'DejaVu Sans Mono', 'Bitstream Vera Sans Mono', monospace; +} + +.sig-name, code.descname { + background-color: transparent; + font-weight: bold; +} + +.sig-name { + font-size: 1.1em; +} + +code.descname { + font-size: 1.2em; +} + +.sig-prename, code.descclassname { + background-color: transparent; +} + +.optional { + font-size: 1.3em; +} + +.sig-paren { + font-size: larger; +} + +.sig-param.n { + font-style: italic; +} + +/* C++ specific styling */ + +.sig-inline.c-texpr, +.sig-inline.cpp-texpr { + font-family: unset; +} + +.sig.c .k, .sig.c .kt, +.sig.cpp .k, .sig.cpp .kt { + color: #0033B3; +} + +.sig.c .m, +.sig.cpp .m { + color: #1750EB; +} + +.sig.c .s, .sig.c .sc, +.sig.cpp .s, .sig.cpp .sc { + color: #067D17; +} + + +/* -- other body styles ----------------------------------------------------- */ + +ol.arabic { + list-style: decimal; +} + +ol.loweralpha { + list-style: lower-alpha; +} + +ol.upperalpha { + list-style: upper-alpha; +} + +ol.lowerroman { + list-style: lower-roman; +} + +ol.upperroman { + list-style: upper-roman; +} + +:not(li) > ol > li:first-child > :first-child, +:not(li) > ul > li:first-child > :first-child { + margin-top: 0px; +} + +:not(li) > ol > li:last-child > :last-child, +:not(li) > ul > li:last-child > :last-child { + margin-bottom: 0px; +} + +ol.simple ol p, +ol.simple ul p, +ul.simple ol p, +ul.simple ul p { + margin-top: 0; +} + +ol.simple > li:not(:first-child) > p, +ul.simple > li:not(:first-child) > p { + margin-top: 0; +} + +ol.simple p, +ul.simple p { + margin-bottom: 0; +} + +aside.footnote > span, +div.citation > span { + float: left; +} +aside.footnote > span:last-of-type, +div.citation > span:last-of-type { + padding-right: 0.5em; +} +aside.footnote > p { + margin-left: 2em; +} +div.citation > p { + margin-left: 4em; +} +aside.footnote > p:last-of-type, +div.citation > p:last-of-type { + margin-bottom: 0em; +} +aside.footnote > p:last-of-type:after, +div.citation > p:last-of-type:after { + content: ""; + clear: both; +} + +dl.field-list { + display: grid; + grid-template-columns: fit-content(30%) auto; +} + +dl.field-list > dt { + font-weight: bold; + word-break: break-word; + padding-left: 0.5em; + padding-right: 5px; +} + +dl.field-list > dd { + padding-left: 0.5em; + margin-top: 0em; + margin-left: 0em; + margin-bottom: 0em; +} + +dl { + margin-bottom: 15px; +} + +dd > :first-child { + margin-top: 0px; +} + +dd ul, dd table { + margin-bottom: 10px; +} + +dd { + margin-top: 3px; + margin-bottom: 10px; + margin-left: 30px; +} + +dl > dd:last-child, +dl > dd:last-child > :last-child { + margin-bottom: 0; +} + +dt:target, span.highlighted { + background-color: #fbe54e; +} + +rect.highlighted { + fill: #fbe54e; +} + +dl.glossary dt { + font-weight: bold; + font-size: 1.1em; +} + +.versionmodified { + font-style: italic; +} + +.system-message { + background-color: #fda; + padding: 5px; + border: 3px solid red; +} + +.footnote:target { + background-color: #ffa; +} + +.line-block { + display: block; + margin-top: 1em; + margin-bottom: 1em; +} + +.line-block .line-block { + margin-top: 0; + margin-bottom: 0; + margin-left: 1.5em; +} + +.guilabel, .menuselection { + font-family: sans-serif; +} + +.accelerator { + text-decoration: underline; +} + +.classifier { + font-style: oblique; +} + +.classifier:before { + font-style: normal; + margin: 0 0.5em; + content: ":"; + display: inline-block; +} + +abbr, acronym { + border-bottom: dotted 1px; + cursor: help; +} + +/* -- code displays --------------------------------------------------------- */ + +pre { + overflow: auto; + overflow-y: hidden; /* fixes display issues on Chrome browsers */ +} + +pre, div[class*="highlight-"] { + clear: both; +} + +span.pre { + -moz-hyphens: none; + -ms-hyphens: none; + -webkit-hyphens: none; + hyphens: none; + white-space: nowrap; +} + +div[class*="highlight-"] { + margin: 1em 0; +} + +td.linenos pre { + border: 0; + background-color: transparent; + color: #aaa; +} + +table.highlighttable { + display: block; +} + +table.highlighttable tbody { + display: block; +} + +table.highlighttable tr { + display: flex; +} + +table.highlighttable td { + margin: 0; + padding: 0; +} + +table.highlighttable td.linenos { + padding-right: 0.5em; +} + +table.highlighttable td.code { + flex: 1; + overflow: hidden; +} + +.highlight .hll { + display: block; +} + +div.highlight pre, +table.highlighttable pre { + margin: 0; +} + +div.code-block-caption + div { + margin-top: 0; +} + +div.code-block-caption { + margin-top: 1em; + padding: 2px 5px; + font-size: small; +} + +div.code-block-caption code { + background-color: transparent; +} + +table.highlighttable td.linenos, +span.linenos, +div.highlight span.gp { /* gp: Generic.Prompt */ + user-select: none; + -webkit-user-select: text; /* Safari fallback only */ + -webkit-user-select: none; /* Chrome/Safari */ + -moz-user-select: none; /* Firefox */ + -ms-user-select: none; /* IE10+ */ +} + +div.code-block-caption span.caption-number { + padding: 0.1em 0.3em; + font-style: italic; +} + +div.code-block-caption span.caption-text { +} + +div.literal-block-wrapper { + margin: 1em 0; +} + +code.xref, a code { + background-color: transparent; + font-weight: bold; +} + +h1 code, h2 code, h3 code, h4 code, h5 code, h6 code { + background-color: transparent; +} + +.viewcode-link { + float: right; +} + +.viewcode-back { + float: right; + font-family: sans-serif; +} + +div.viewcode-block:target { + margin: -1px -10px; + padding: 0 10px; +} + +/* -- math display ---------------------------------------------------------- */ + +img.math { + vertical-align: middle; +} + +div.body div.math p { + text-align: center; +} + +span.eqno { + float: right; +} + +span.eqno a.headerlink { + position: absolute; + z-index: 1; +} + +div.math:hover a.headerlink { + visibility: visible; +} + +/* -- printout stylesheet --------------------------------------------------- */ + +@media print { + div.document, + div.documentwrapper, + div.bodywrapper { + margin: 0 !important; + width: 100%; + } + + div.sphinxsidebar, + div.related, + div.footer, + #top-link { + display: none; + } +} \ No newline at end of file diff --git a/docs/build/html/_static/binder_badge_logo.svg b/docs/build/html/_static/binder_badge_logo.svg new file mode 100644 index 00000000..327f6b63 --- /dev/null +++ b/docs/build/html/_static/binder_badge_logo.svg @@ -0,0 +1 @@ + launchlaunchbinderbinder \ No newline at end of file diff --git a/docs/build/html/_static/bootstrap-2.3.2/css/bootstrap-responsive.css b/docs/build/html/_static/bootstrap-2.3.2/css/bootstrap-responsive.css new file mode 100644 index 00000000..09e88ce3 --- /dev/null +++ b/docs/build/html/_static/bootstrap-2.3.2/css/bootstrap-responsive.css @@ -0,0 +1,1109 @@ +/*! + * Bootstrap Responsive v2.3.2 + * + * Copyright 2012 Twitter, Inc + * Licensed under the Apache License v2.0 + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Designed and built with all the love in the world @twitter by @mdo and @fat. + */ + +.clearfix { + *zoom: 1; +} + +.clearfix:before, +.clearfix:after { + display: table; + line-height: 0; + content: ""; +} + +.clearfix:after { + clear: both; +} + +.hide-text { + font: 0/0 a; + color: transparent; + text-shadow: none; + background-color: transparent; + border: 0; +} + +.input-block-level { + display: block; + width: 100%; + min-height: 30px; + -webkit-box-sizing: border-box; + -moz-box-sizing: border-box; + box-sizing: border-box; +} + +@-ms-viewport { + width: device-width; +} + +.hidden { + display: none; + visibility: hidden; +} + +.visible-phone { + display: none !important; +} + +.visible-tablet { + display: none !important; +} + +.hidden-desktop { + display: none !important; +} + +.visible-desktop { + display: inherit !important; +} + +@media (min-width: 768px) and (max-width: 979px) { + .hidden-desktop { + display: inherit !important; + } + .visible-desktop { + display: none !important ; + } + .visible-tablet { + display: inherit !important; + } + .hidden-tablet { + display: none !important; + } +} + +@media (max-width: 767px) { + .hidden-desktop { + display: inherit !important; + } + .visible-desktop { + display: none !important; + } + .visible-phone { + display: inherit !important; + } + .hidden-phone { + display: none !important; + } +} + +.visible-print { + display: none !important; +} + +@media print { + .visible-print { + display: inherit !important; + } + .hidden-print { + display: none !important; + } +} + +@media (min-width: 1200px) { + .row { + margin-left: -30px; + *zoom: 1; + } + .row:before, + .row:after { + display: table; + line-height: 0; + content: ""; + } + .row:after { + clear: both; + } + [class*="span"] { + float: left; + min-height: 1px; + margin-left: 30px; + } + .container, + .navbar-static-top .container, + .navbar-fixed-top .container, + .navbar-fixed-bottom .container { + width: 1170px; + } + .span12 { + width: 1170px; + } + .span11 { + width: 1070px; + } + .span10 { + width: 970px; + } + .span9 { + width: 870px; + } + .span8 { + width: 770px; + } + .span7 { + 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margin-left: 30px; + } + input.span12, + textarea.span12, + .uneditable-input.span12 { + width: 1156px; + } + input.span11, + textarea.span11, + .uneditable-input.span11 { + width: 1056px; + } + input.span10, + textarea.span10, + .uneditable-input.span10 { + width: 956px; + } + input.span9, + textarea.span9, + .uneditable-input.span9 { + width: 856px; + } + input.span8, + textarea.span8, + .uneditable-input.span8 { + width: 756px; + } + input.span7, + textarea.span7, + .uneditable-input.span7 { + width: 656px; + } + input.span6, + textarea.span6, + .uneditable-input.span6 { + width: 556px; + } + input.span5, + textarea.span5, + .uneditable-input.span5 { + width: 456px; + } + input.span4, + textarea.span4, + .uneditable-input.span4 { + width: 356px; + } + input.span3, + textarea.span3, + .uneditable-input.span3 { + width: 256px; + } + input.span2, + textarea.span2, + .uneditable-input.span2 { + width: 156px; + } + input.span1, + textarea.span1, + .uneditable-input.span1 { + width: 56px; 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[class*="span"] { + margin-left: 2.7624309392265194%; + } + .row-fluid .span12 { + width: 100%; + *width: 99.94680851063829%; + } + .row-fluid .span11 { + width: 91.43646408839778%; + *width: 91.38327259903608%; + } + .row-fluid .span10 { + width: 82.87292817679558%; + *width: 82.81973668743387%; + } + .row-fluid .span9 { + width: 74.30939226519337%; + *width: 74.25620077583166%; + } + .row-fluid .span8 { + width: 65.74585635359117%; + *width: 65.69266486422946%; + } + .row-fluid .span7 { + width: 57.18232044198895%; + *width: 57.12912895262725%; + } + .row-fluid .span6 { + width: 48.61878453038674%; + *width: 48.56559304102504%; + } + .row-fluid .span5 { + width: 40.05524861878453%; + *width: 40.00205712942283%; + } + .row-fluid .span4 { + width: 31.491712707182323%; + *width: 31.43852121782062%; + } + .row-fluid .span3 { + width: 22.92817679558011%; + *width: 22.87498530621841%; + } + .row-fluid .span2 { + width: 14.3646408839779%; + *width: 14.311449394616199%; + } + .row-fluid 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{ + margin-left: 28.45303867403315%; + *margin-left: 28.346655695309746%; + } + .row-fluid .offset3:first-child { + margin-left: 25.69060773480663%; + *margin-left: 25.584224756083227%; + } + .row-fluid .offset2 { + margin-left: 19.88950276243094%; + *margin-left: 19.783119783707537%; + } + .row-fluid .offset2:first-child { + margin-left: 17.12707182320442%; + *margin-left: 17.02068884448102%; + } + .row-fluid .offset1 { + margin-left: 11.32596685082873%; + *margin-left: 11.219583872105325%; + } + .row-fluid .offset1:first-child { + margin-left: 8.56353591160221%; + *margin-left: 8.457152932878806%; + } + input, + textarea, + .uneditable-input { + margin-left: 0; + } + .controls-row [class*="span"] + [class*="span"] { + margin-left: 20px; + } + input.span12, + textarea.span12, + .uneditable-input.span12 { + width: 710px; + } + input.span11, + textarea.span11, + .uneditable-input.span11 { + width: 648px; + } + input.span10, + textarea.span10, + .uneditable-input.span10 { + width: 586px; + } + input.span9, + textarea.span9, + .uneditable-input.span9 { + width: 524px; + } + input.span8, + textarea.span8, + .uneditable-input.span8 { + width: 462px; + } + input.span7, + textarea.span7, + .uneditable-input.span7 { + width: 400px; + } + input.span6, + textarea.span6, + .uneditable-input.span6 { + width: 338px; + } + input.span5, + textarea.span5, + .uneditable-input.span5 { + width: 276px; + } + input.span4, + textarea.span4, + .uneditable-input.span4 { + width: 214px; + } + input.span3, + textarea.span3, + .uneditable-input.span3 { + width: 152px; + } + input.span2, + textarea.span2, + .uneditable-input.span2 { + width: 90px; + } + input.span1, + textarea.span1, + .uneditable-input.span1 { + width: 28px; + } +} + +@media (max-width: 767px) { + body { + padding-right: 20px; + padding-left: 20px; + } + .navbar-fixed-top, + .navbar-fixed-bottom, + .navbar-static-top { + margin-right: -20px; + margin-left: -20px; + } + .container-fluid { + padding: 0; + } + .dl-horizontal dt { 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-moz-border-radius: 4px; + border-radius: 4px; +} + +pre.prettyprint { + margin-bottom: 20px; +} + +pre code { + padding: 0; + color: inherit; + white-space: pre; + white-space: pre-wrap; + background-color: transparent; + border: 0; +} + +.pre-scrollable { + max-height: 340px; + overflow-y: scroll; +} + +form { + margin: 0 0 20px; +} + +fieldset { + padding: 0; + margin: 0; + border: 0; +} + +legend { + display: block; + width: 100%; + padding: 0; + margin-bottom: 20px; + font-size: 21px; + line-height: 40px; + color: #333333; + border: 0; + border-bottom: 1px solid #e5e5e5; +} + +legend small { + font-size: 15px; + color: #999999; +} + +label, +input, +button, +select, +textarea { + font-size: 14px; + font-weight: normal; + line-height: 20px; +} + +input, +button, +select, +textarea { + font-family: "Helvetica Neue", Helvetica, Arial, sans-serif; +} + +label { + display: block; + margin-bottom: 5px; +} + +select, +textarea, +input[type="text"], +input[type="password"], +input[type="datetime"], +input[type="datetime-local"], +input[type="date"], +input[type="month"], +input[type="time"], +input[type="week"], +input[type="number"], +input[type="email"], +input[type="url"], +input[type="search"], +input[type="tel"], +input[type="color"], +.uneditable-input { + display: inline-block; + height: 20px; + padding: 4px 6px; + margin-bottom: 10px; + font-size: 14px; + line-height: 20px; + color: #555555; + vertical-align: middle; + -webkit-border-radius: 4px; + -moz-border-radius: 4px; + border-radius: 4px; +} + +input, +textarea, +.uneditable-input { + width: 206px; +} + +textarea { + height: auto; +} + +textarea, +input[type="text"], +input[type="password"], +input[type="datetime"], +input[type="datetime-local"], +input[type="date"], +input[type="month"], +input[type="time"], +input[type="week"], +input[type="number"], +input[type="email"], +input[type="url"], +input[type="search"], +input[type="tel"], +input[type="color"], +.uneditable-input { + background-color: #ffffff; + border: 1px solid #cccccc; + -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075); + -moz-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075); + box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075); + -webkit-transition: border linear 0.2s, box-shadow linear 0.2s; + -moz-transition: border linear 0.2s, box-shadow linear 0.2s; + -o-transition: border linear 0.2s, box-shadow linear 0.2s; + transition: border linear 0.2s, box-shadow linear 0.2s; +} + +textarea:focus, +input[type="text"]:focus, +input[type="password"]:focus, +input[type="datetime"]:focus, +input[type="datetime-local"]:focus, +input[type="date"]:focus, +input[type="month"]:focus, +input[type="time"]:focus, +input[type="week"]:focus, +input[type="number"]:focus, +input[type="email"]:focus, +input[type="url"]:focus, +input[type="search"]:focus, +input[type="tel"]:focus, +input[type="color"]:focus, +.uneditable-input:focus { + border-color: rgba(82, 168, 236, 0.8); + outline: 0; + outline: thin dotted \9; + /* IE6-9 */ + + -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 8px rgba(82, 168, 236, 0.6); + -moz-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 8px rgba(82, 168, 236, 0.6); + box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 8px rgba(82, 168, 236, 0.6); +} + +input[type="radio"], +input[type="checkbox"] { + margin: 4px 0 0; + margin-top: 1px \9; + *margin-top: 0; + line-height: normal; +} + +input[type="file"], +input[type="image"], +input[type="submit"], +input[type="reset"], +input[type="button"], +input[type="radio"], +input[type="checkbox"] { + width: auto; +} + +select, +input[type="file"] { + height: 30px; + /* In IE7, the height of the select element cannot be changed by height, only font-size */ + + *margin-top: 4px; + /* For IE7, add top margin to align select with labels */ + + line-height: 30px; +} + +select { + width: 220px; + background-color: #ffffff; + border: 1px solid #cccccc; +} + +select[multiple], +select[size] { + height: auto; +} + +select:focus, +input[type="file"]:focus, +input[type="radio"]:focus, +input[type="checkbox"]:focus { + outline: thin dotted #333; + outline: 5px auto -webkit-focus-ring-color; + outline-offset: -2px; +} + +.uneditable-input, +.uneditable-textarea { + color: #999999; + cursor: not-allowed; + background-color: #fcfcfc; + border-color: #cccccc; + -webkit-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.025); + -moz-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.025); + box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.025); +} + +.uneditable-input { + overflow: hidden; + white-space: nowrap; +} + +.uneditable-textarea { + width: auto; + height: auto; +} + +input:-moz-placeholder, +textarea:-moz-placeholder { + color: #999999; +} + +input:-ms-input-placeholder, +textarea:-ms-input-placeholder { + color: #999999; +} + +input::-webkit-input-placeholder, +textarea::-webkit-input-placeholder { + color: #999999; +} + +.radio, +.checkbox { + min-height: 20px; + padding-left: 20px; +} + +.radio input[type="radio"], +.checkbox input[type="checkbox"] { + float: left; + margin-left: -20px; +} + +.controls > .radio:first-child, +.controls > .checkbox:first-child { + padding-top: 5px; +} + +.radio.inline, +.checkbox.inline { + display: inline-block; + padding-top: 5px; + margin-bottom: 0; + vertical-align: middle; +} + +.radio.inline + .radio.inline, +.checkbox.inline + .checkbox.inline { + margin-left: 10px; +} + +.input-mini { + width: 60px; +} + +.input-small { + width: 90px; +} + +.input-medium { + width: 150px; +} + +.input-large { + width: 210px; +} + +.input-xlarge { + width: 270px; +} + +.input-xxlarge { + width: 530px; +} + +input[class*="span"], +select[class*="span"], +textarea[class*="span"], +.uneditable-input[class*="span"], +.row-fluid input[class*="span"], +.row-fluid select[class*="span"], +.row-fluid textarea[class*="span"], +.row-fluid .uneditable-input[class*="span"] { + float: none; + margin-left: 0; +} + +.input-append input[class*="span"], +.input-append .uneditable-input[class*="span"], +.input-prepend input[class*="span"], +.input-prepend .uneditable-input[class*="span"], +.row-fluid input[class*="span"], +.row-fluid select[class*="span"], +.row-fluid textarea[class*="span"], +.row-fluid .uneditable-input[class*="span"], +.row-fluid .input-prepend [class*="span"], +.row-fluid .input-append [class*="span"] { + display: inline-block; +} + +input, +textarea, +.uneditable-input { + margin-left: 0; +} + +.controls-row [class*="span"] + [class*="span"] { + margin-left: 20px; +} + +input.span12, +textarea.span12, +.uneditable-input.span12 { + width: 926px; +} + +input.span11, +textarea.span11, +.uneditable-input.span11 { + width: 846px; +} + +input.span10, +textarea.span10, +.uneditable-input.span10 { + width: 766px; +} + +input.span9, +textarea.span9, +.uneditable-input.span9 { + width: 686px; +} + +input.span8, +textarea.span8, +.uneditable-input.span8 { + width: 606px; +} + +input.span7, +textarea.span7, +.uneditable-input.span7 { + width: 526px; +} + +input.span6, +textarea.span6, +.uneditable-input.span6 { + width: 446px; +} + +input.span5, +textarea.span5, +.uneditable-input.span5 { + width: 366px; +} + +input.span4, +textarea.span4, +.uneditable-input.span4 { + width: 286px; +} + +input.span3, +textarea.span3, +.uneditable-input.span3 { + width: 206px; +} + +input.span2, +textarea.span2, +.uneditable-input.span2 { + width: 126px; +} + +input.span1, +textarea.span1, +.uneditable-input.span1 { + width: 46px; +} + +.controls-row { + *zoom: 1; +} + +.controls-row:before, +.controls-row:after { + display: table; + line-height: 0; + content: ""; +} + +.controls-row:after { + clear: both; +} + +.controls-row [class*="span"], +.row-fluid .controls-row [class*="span"] { + float: left; +} + +.controls-row .checkbox[class*="span"], +.controls-row .radio[class*="span"] { + padding-top: 5px; +} + +input[disabled], +select[disabled], +textarea[disabled], +input[readonly], +select[readonly], +textarea[readonly] { + cursor: not-allowed; + background-color: #eeeeee; +} + +input[type="radio"][disabled], +input[type="checkbox"][disabled], +input[type="radio"][readonly], +input[type="checkbox"][readonly] { + background-color: transparent; +} + +.control-group.warning .control-label, +.control-group.warning .help-block, +.control-group.warning .help-inline { + color: #c09853; +} + +.control-group.warning .checkbox, +.control-group.warning .radio, +.control-group.warning input, +.control-group.warning select, +.control-group.warning textarea { + color: #c09853; +} + +.control-group.warning input, +.control-group.warning select, +.control-group.warning textarea { + border-color: #c09853; + -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075); + -moz-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075); + box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075); +} + +.control-group.warning input:focus, +.control-group.warning select:focus, +.control-group.warning textarea:focus { + border-color: #a47e3c; + -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #dbc59e; + -moz-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #dbc59e; + box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #dbc59e; +} + +.control-group.warning .input-prepend .add-on, +.control-group.warning .input-append .add-on { + color: #c09853; + background-color: #fcf8e3; + border-color: #c09853; +} + +.control-group.error .control-label, +.control-group.error .help-block, +.control-group.error .help-inline { + color: #b94a48; +} + +.control-group.error .checkbox, +.control-group.error .radio, +.control-group.error input, +.control-group.error select, +.control-group.error textarea { + color: #b94a48; +} + +.control-group.error input, +.control-group.error select, +.control-group.error textarea { + border-color: #b94a48; + -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075); + -moz-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075); + box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075); +} + +.control-group.error input:focus, +.control-group.error select:focus, +.control-group.error textarea:focus { + border-color: #953b39; + -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #d59392; + -moz-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #d59392; + box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #d59392; +} + +.control-group.error .input-prepend .add-on, +.control-group.error .input-append .add-on { + color: #b94a48; + background-color: #f2dede; + border-color: #b94a48; +} + +.control-group.success .control-label, +.control-group.success .help-block, +.control-group.success .help-inline { + color: #468847; +} + +.control-group.success .checkbox, +.control-group.success .radio, +.control-group.success input, +.control-group.success select, +.control-group.success textarea { + color: #468847; +} + +.control-group.success input, +.control-group.success select, +.control-group.success textarea { + border-color: #468847; + -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075); + -moz-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075); + box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075); +} + +.control-group.success input:focus, +.control-group.success select:focus, +.control-group.success textarea:focus { + border-color: #356635; + -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #7aba7b; + -moz-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #7aba7b; + box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #7aba7b; +} + +.control-group.success .input-prepend .add-on, +.control-group.success .input-append .add-on { + color: #468847; + background-color: #dff0d8; + border-color: #468847; +} + +.control-group.info .control-label, +.control-group.info .help-block, +.control-group.info .help-inline { + color: #3a87ad; +} + +.control-group.info .checkbox, +.control-group.info .radio, +.control-group.info input, +.control-group.info select, +.control-group.info textarea { + color: #3a87ad; +} + +.control-group.info input, +.control-group.info select, +.control-group.info textarea { + border-color: #3a87ad; + -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075); + -moz-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075); + box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075); +} + +.control-group.info input:focus, +.control-group.info select:focus, +.control-group.info textarea:focus { + border-color: #2d6987; + -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #7ab5d3; + -moz-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #7ab5d3; + box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #7ab5d3; +} + +.control-group.info .input-prepend .add-on, +.control-group.info .input-append .add-on { + color: #3a87ad; + background-color: #d9edf7; + border-color: #3a87ad; +} + +input:focus:invalid, +textarea:focus:invalid, +select:focus:invalid { + color: #b94a48; + border-color: #ee5f5b; +} + +input:focus:invalid:focus, +textarea:focus:invalid:focus, +select:focus:invalid:focus { + border-color: #e9322d; + -webkit-box-shadow: 0 0 6px #f8b9b7; + -moz-box-shadow: 0 0 6px #f8b9b7; + box-shadow: 0 0 6px #f8b9b7; +} + +.form-actions { + padding: 19px 20px 20px; + margin-top: 20px; + margin-bottom: 20px; + background-color: #f5f5f5; + border-top: 1px solid #e5e5e5; + *zoom: 1; +} + +.form-actions:before, +.form-actions:after { + display: table; + line-height: 0; + content: ""; +} + +.form-actions:after { + clear: both; +} + +.help-block, +.help-inline { + color: #595959; +} + +.help-block { + display: block; + margin-bottom: 10px; +} + +.help-inline { + display: inline-block; + *display: inline; + padding-left: 5px; + vertical-align: middle; + *zoom: 1; +} + +.input-append, +.input-prepend { + display: inline-block; + margin-bottom: 10px; + font-size: 0; + white-space: nowrap; + vertical-align: middle; +} + +.input-append input, +.input-prepend input, +.input-append select, +.input-prepend select, +.input-append .uneditable-input, +.input-prepend .uneditable-input, +.input-append .dropdown-menu, +.input-prepend .dropdown-menu, +.input-append .popover, +.input-prepend .popover { + font-size: 14px; +} + +.input-append input, +.input-prepend input, +.input-append select, +.input-prepend select, +.input-append .uneditable-input, +.input-prepend .uneditable-input { + position: relative; + margin-bottom: 0; + *margin-left: 0; + vertical-align: top; + -webkit-border-radius: 0 4px 4px 0; + -moz-border-radius: 0 4px 4px 0; + border-radius: 0 4px 4px 0; +} + +.input-append input:focus, +.input-prepend input:focus, +.input-append select:focus, +.input-prepend select:focus, +.input-append .uneditable-input:focus, +.input-prepend .uneditable-input:focus { + z-index: 2; +} + +.input-append .add-on, +.input-prepend .add-on { + display: inline-block; + width: auto; + height: 20px; + min-width: 16px; + padding: 4px 5px; + font-size: 14px; + font-weight: normal; + line-height: 20px; + text-align: center; + text-shadow: 0 1px 0 #ffffff; + background-color: #eeeeee; + border: 1px solid #ccc; +} + +.input-append .add-on, +.input-prepend .add-on, +.input-append .btn, +.input-prepend .btn, +.input-append .btn-group > .dropdown-toggle, +.input-prepend .btn-group > .dropdown-toggle { + vertical-align: top; + -webkit-border-radius: 0; + -moz-border-radius: 0; + border-radius: 0; +} + +.input-append .active, +.input-prepend .active { + background-color: #a9dba9; + border-color: #46a546; +} + +.input-prepend .add-on, +.input-prepend .btn { + margin-right: -1px; +} + +.input-prepend .add-on:first-child, +.input-prepend .btn:first-child { + -webkit-border-radius: 4px 0 0 4px; + -moz-border-radius: 4px 0 0 4px; + border-radius: 4px 0 0 4px; +} + +.input-append input, +.input-append select, +.input-append .uneditable-input { + -webkit-border-radius: 4px 0 0 4px; + -moz-border-radius: 4px 0 0 4px; + border-radius: 4px 0 0 4px; +} + +.input-append input + .btn-group .btn:last-child, +.input-append select + .btn-group .btn:last-child, +.input-append .uneditable-input + .btn-group .btn:last-child { + -webkit-border-radius: 0 4px 4px 0; + -moz-border-radius: 0 4px 4px 0; + border-radius: 0 4px 4px 0; +} + +.input-append .add-on, +.input-append .btn, +.input-append .btn-group { + margin-left: -1px; +} + +.input-append .add-on:last-child, +.input-append .btn:last-child, +.input-append .btn-group:last-child > .dropdown-toggle { + -webkit-border-radius: 0 4px 4px 0; + -moz-border-radius: 0 4px 4px 0; + border-radius: 0 4px 4px 0; +} + +.input-prepend.input-append input, +.input-prepend.input-append select, +.input-prepend.input-append .uneditable-input { + -webkit-border-radius: 0; + -moz-border-radius: 0; + border-radius: 0; +} + +.input-prepend.input-append input + .btn-group .btn, +.input-prepend.input-append select + .btn-group .btn, +.input-prepend.input-append .uneditable-input + .btn-group .btn { + -webkit-border-radius: 0 4px 4px 0; + -moz-border-radius: 0 4px 4px 0; + border-radius: 0 4px 4px 0; +} + +.input-prepend.input-append .add-on:first-child, +.input-prepend.input-append .btn:first-child { + margin-right: -1px; + -webkit-border-radius: 4px 0 0 4px; + -moz-border-radius: 4px 0 0 4px; + border-radius: 4px 0 0 4px; +} + +.input-prepend.input-append .add-on:last-child, +.input-prepend.input-append .btn:last-child { + margin-left: -1px; + -webkit-border-radius: 0 4px 4px 0; + -moz-border-radius: 0 4px 4px 0; + border-radius: 0 4px 4px 0; +} + +.input-prepend.input-append .btn-group:first-child { + margin-left: 0; +} + +input.search-query { + padding-right: 14px; + padding-right: 4px \9; + padding-left: 14px; + padding-left: 4px \9; + /* IE7-8 doesn't have border-radius, so don't indent the padding */ + + margin-bottom: 0; + -webkit-border-radius: 15px; + -moz-border-radius: 15px; + border-radius: 15px; +} + +/* Allow for input prepend/append in search forms */ + +.form-search .input-append .search-query, +.form-search .input-prepend .search-query { + -webkit-border-radius: 0; + -moz-border-radius: 0; + border-radius: 0; +} + +.form-search .input-append .search-query { + -webkit-border-radius: 14px 0 0 14px; + -moz-border-radius: 14px 0 0 14px; + border-radius: 14px 0 0 14px; +} + +.form-search .input-append .btn { + -webkit-border-radius: 0 14px 14px 0; + -moz-border-radius: 0 14px 14px 0; + border-radius: 0 14px 14px 0; +} + +.form-search .input-prepend .search-query { + -webkit-border-radius: 0 14px 14px 0; + -moz-border-radius: 0 14px 14px 0; + border-radius: 0 14px 14px 0; +} + +.form-search .input-prepend .btn { + -webkit-border-radius: 14px 0 0 14px; + -moz-border-radius: 14px 0 0 14px; + border-radius: 14px 0 0 14px; +} + +.form-search input, +.form-inline input, +.form-horizontal input, +.form-search textarea, +.form-inline textarea, +.form-horizontal textarea, +.form-search select, +.form-inline select, +.form-horizontal select, +.form-search .help-inline, +.form-inline .help-inline, +.form-horizontal .help-inline, +.form-search .uneditable-input, +.form-inline .uneditable-input, +.form-horizontal .uneditable-input, +.form-search .input-prepend, +.form-inline .input-prepend, +.form-horizontal .input-prepend, +.form-search .input-append, +.form-inline .input-append, +.form-horizontal .input-append { + display: inline-block; + *display: inline; + margin-bottom: 0; + vertical-align: middle; + *zoom: 1; +} + +.form-search .hide, +.form-inline .hide, +.form-horizontal .hide { + display: none; +} + +.form-search label, +.form-inline label, +.form-search .btn-group, +.form-inline .btn-group { + display: inline-block; +} + +.form-search .input-append, +.form-inline .input-append, +.form-search .input-prepend, +.form-inline .input-prepend { + margin-bottom: 0; +} + +.form-search .radio, +.form-search .checkbox, +.form-inline .radio, +.form-inline .checkbox { + padding-left: 0; + margin-bottom: 0; + vertical-align: middle; +} + +.form-search .radio input[type="radio"], +.form-search .checkbox input[type="checkbox"], +.form-inline .radio input[type="radio"], +.form-inline .checkbox input[type="checkbox"] { + float: left; + margin-right: 3px; + margin-left: 0; +} + +.control-group { + margin-bottom: 10px; +} + +legend + .control-group { + margin-top: 20px; + -webkit-margin-top-collapse: separate; +} + +.form-horizontal .control-group { + margin-bottom: 20px; + *zoom: 1; +} + +.form-horizontal .control-group:before, +.form-horizontal .control-group:after { + display: table; + line-height: 0; + content: ""; +} + +.form-horizontal .control-group:after { + clear: both; +} + +.form-horizontal .control-label { + float: left; + width: 160px; + padding-top: 5px; + text-align: right; +} + +.form-horizontal .controls { + *display: inline-block; + *padding-left: 20px; + margin-left: 180px; + *margin-left: 0; +} + +.form-horizontal .controls:first-child { + *padding-left: 180px; +} + +.form-horizontal .help-block { + margin-bottom: 0; +} + +.form-horizontal input + .help-block, +.form-horizontal select + .help-block, +.form-horizontal textarea + .help-block, +.form-horizontal .uneditable-input + .help-block, +.form-horizontal .input-prepend + .help-block, +.form-horizontal .input-append + .help-block { + margin-top: 10px; +} + +.form-horizontal .form-actions { + padding-left: 180px; +} + +table { + max-width: 100%; + background-color: transparent; + border-collapse: collapse; + border-spacing: 0; +} + +.table { + width: 100%; + margin-bottom: 20px; +} + +.table th, +.table td { + padding: 8px; + line-height: 20px; + text-align: left; + vertical-align: top; + border-top: 1px solid #dddddd; +} + +.table th { + font-weight: bold; +} + +.table thead th { + vertical-align: bottom; +} + +.table caption + thead tr:first-child th, +.table caption + thead tr:first-child td, +.table colgroup + thead tr:first-child th, +.table colgroup + thead tr:first-child td, +.table thead:first-child tr:first-child th, +.table thead:first-child tr:first-child td { + border-top: 0; +} + +.table tbody + tbody { + border-top: 2px solid #dddddd; +} + +.table .table { + background-color: #ffffff; +} + +.table-condensed th, +.table-condensed td { + padding: 4px 5px; +} + +.table-bordered { + border: 1px solid #dddddd; + border-collapse: separate; + *border-collapse: collapse; + border-left: 0; + -webkit-border-radius: 4px; + -moz-border-radius: 4px; + border-radius: 4px; +} + +.table-bordered th, +.table-bordered td { + border-left: 1px solid #dddddd; +} + +.table-bordered caption + thead tr:first-child th, +.table-bordered caption + tbody tr:first-child th, +.table-bordered caption + tbody tr:first-child td, +.table-bordered colgroup + thead tr:first-child th, +.table-bordered colgroup + tbody tr:first-child th, +.table-bordered colgroup + tbody tr:first-child td, +.table-bordered thead:first-child tr:first-child th, +.table-bordered tbody:first-child tr:first-child th, +.table-bordered tbody:first-child tr:first-child td { + border-top: 0; +} + +.table-bordered thead:first-child tr:first-child > th:first-child, +.table-bordered tbody:first-child tr:first-child > td:first-child, +.table-bordered tbody:first-child tr:first-child > th:first-child { + -webkit-border-top-left-radius: 4px; + border-top-left-radius: 4px; + -moz-border-radius-topleft: 4px; +} + +.table-bordered thead:first-child tr:first-child > th:last-child, +.table-bordered tbody:first-child tr:first-child > td:last-child, +.table-bordered tbody:first-child tr:first-child > th:last-child { + -webkit-border-top-right-radius: 4px; + border-top-right-radius: 4px; + -moz-border-radius-topright: 4px; +} + +.table-bordered thead:last-child tr:last-child > th:first-child, +.table-bordered tbody:last-child tr:last-child > td:first-child, +.table-bordered tbody:last-child tr:last-child > th:first-child, +.table-bordered tfoot:last-child tr:last-child > td:first-child, +.table-bordered tfoot:last-child tr:last-child > th:first-child { + -webkit-border-bottom-left-radius: 4px; + border-bottom-left-radius: 4px; + -moz-border-radius-bottomleft: 4px; +} + +.table-bordered thead:last-child tr:last-child > th:last-child, +.table-bordered tbody:last-child tr:last-child > td:last-child, +.table-bordered tbody:last-child tr:last-child > th:last-child, +.table-bordered tfoot:last-child tr:last-child > td:last-child, +.table-bordered tfoot:last-child tr:last-child > th:last-child { + -webkit-border-bottom-right-radius: 4px; + border-bottom-right-radius: 4px; + -moz-border-radius-bottomright: 4px; +} + +.table-bordered tfoot + tbody:last-child tr:last-child td:first-child { + -webkit-border-bottom-left-radius: 0; + border-bottom-left-radius: 0; + -moz-border-radius-bottomleft: 0; +} + +.table-bordered tfoot + tbody:last-child tr:last-child td:last-child { + -webkit-border-bottom-right-radius: 0; + border-bottom-right-radius: 0; + -moz-border-radius-bottomright: 0; +} + +.table-bordered caption + thead tr:first-child th:first-child, +.table-bordered caption + tbody tr:first-child td:first-child, +.table-bordered colgroup + thead tr:first-child th:first-child, +.table-bordered colgroup + tbody tr:first-child td:first-child { + -webkit-border-top-left-radius: 4px; + border-top-left-radius: 4px; + -moz-border-radius-topleft: 4px; +} + +.table-bordered caption + thead tr:first-child th:last-child, +.table-bordered caption + tbody tr:first-child td:last-child, +.table-bordered colgroup + thead tr:first-child th:last-child, +.table-bordered colgroup + tbody tr:first-child td:last-child { + -webkit-border-top-right-radius: 4px; + border-top-right-radius: 4px; + -moz-border-radius-topright: 4px; +} + +.table-striped tbody > tr:nth-child(odd) > td, +.table-striped tbody > tr:nth-child(odd) > th { + background-color: #f9f9f9; +} + +.table-hover tbody tr:hover > td, +.table-hover tbody tr:hover > th { + background-color: #f5f5f5; +} + +table td[class*="span"], +table th[class*="span"], +.row-fluid table td[class*="span"], +.row-fluid table th[class*="span"] { + display: table-cell; + float: none; + margin-left: 0; +} + +.table td.span1, +.table th.span1 { + float: none; + width: 44px; + margin-left: 0; +} + +.table td.span2, +.table th.span2 { + float: none; + width: 124px; + margin-left: 0; +} + +.table td.span3, +.table th.span3 { + float: none; + width: 204px; + margin-left: 0; +} + +.table td.span4, +.table th.span4 { + float: none; + width: 284px; + margin-left: 0; +} + +.table td.span5, +.table th.span5 { + float: none; + width: 364px; + margin-left: 0; +} + +.table td.span6, +.table th.span6 { + float: none; + width: 444px; + margin-left: 0; +} + +.table td.span7, +.table th.span7 { + float: none; + width: 524px; + margin-left: 0; +} + +.table td.span8, +.table th.span8 { + float: none; + width: 604px; + margin-left: 0; +} + +.table td.span9, +.table th.span9 { + float: none; + width: 684px; + margin-left: 0; +} + +.table td.span10, +.table th.span10 { + float: none; + width: 764px; + margin-left: 0; +} + +.table td.span11, +.table th.span11 { + float: none; + width: 844px; + margin-left: 0; +} + +.table td.span12, +.table th.span12 { + float: none; + width: 924px; + margin-left: 0; +} + +.table tbody tr.success > td { + background-color: #dff0d8; +} + +.table tbody tr.error > td { + background-color: #f2dede; +} + +.table tbody tr.warning > td { + background-color: #fcf8e3; +} + +.table tbody tr.info > td { + background-color: #d9edf7; +} + +.table-hover tbody tr.success:hover > td { + background-color: #d0e9c6; +} + +.table-hover tbody tr.error:hover > td { + background-color: #ebcccc; +} + +.table-hover tbody tr.warning:hover > td { + background-color: #faf2cc; +} + +.table-hover tbody tr.info:hover > td { + background-color: #c4e3f3; +} + +[class^="icon-"], +[class*=" icon-"] { + display: inline-block; + width: 14px; + height: 14px; + margin-top: 1px; + *margin-right: .3em; + line-height: 14px; + vertical-align: text-top; + background-image: url("../img/glyphicons-halflings.png"); + background-position: 14px 14px; + background-repeat: no-repeat; +} + +/* White icons with optional class, or on hover/focus/active states of certain elements */ + +.icon-white, +.nav-pills > .active > a > [class^="icon-"], +.nav-pills > .active > a > [class*=" icon-"], +.nav-list > .active > a > [class^="icon-"], +.nav-list > .active > a > [class*=" icon-"], +.navbar-inverse .nav > .active > a > [class^="icon-"], +.navbar-inverse .nav > .active > a > [class*=" icon-"], +.dropdown-menu > li > a:hover > [class^="icon-"], +.dropdown-menu > li > a:focus > [class^="icon-"], +.dropdown-menu > li > a:hover > [class*=" icon-"], +.dropdown-menu > li > a:focus > [class*=" icon-"], +.dropdown-menu > .active > a > [class^="icon-"], +.dropdown-menu > .active > a > [class*=" icon-"], +.dropdown-submenu:hover > a > [class^="icon-"], +.dropdown-submenu:focus > a > [class^="icon-"], +.dropdown-submenu:hover > a > [class*=" icon-"], +.dropdown-submenu:focus > a > [class*=" icon-"] { + background-image: url("../img/glyphicons-halflings-white.png"); +} + +.icon-glass { + background-position: 0 0; +} + +.icon-music { + background-position: -24px 0; +} + +.icon-search { + background-position: -48px 0; +} + +.icon-envelope { + background-position: -72px 0; +} + +.icon-heart { + background-position: -96px 0; +} + +.icon-star { + background-position: -120px 0; +} + +.icon-star-empty { + background-position: -144px 0; +} + +.icon-user { + background-position: -168px 0; +} + +.icon-film { + background-position: -192px 0; +} + +.icon-th-large { + background-position: -216px 0; +} + +.icon-th { + background-position: -240px 0; +} + +.icon-th-list { + background-position: -264px 0; +} + +.icon-ok { + background-position: -288px 0; +} + +.icon-remove { + background-position: -312px 0; +} + +.icon-zoom-in { + background-position: -336px 0; +} + +.icon-zoom-out { + background-position: -360px 0; +} + +.icon-off { + background-position: -384px 0; +} + +.icon-signal { + background-position: -408px 0; +} + +.icon-cog { + background-position: -432px 0; +} + +.icon-trash { + background-position: -456px 0; +} + +.icon-home { + background-position: 0 -24px; +} + +.icon-file { + background-position: -24px -24px; +} + +.icon-time { + background-position: -48px -24px; +} + +.icon-road { + background-position: -72px -24px; +} + +.icon-download-alt { + background-position: -96px -24px; +} + +.icon-download { + background-position: -120px -24px; +} + +.icon-upload { + background-position: -144px -24px; +} + +.icon-inbox { + background-position: -168px -24px; +} + +.icon-play-circle { + background-position: -192px -24px; +} + +.icon-repeat { + background-position: -216px -24px; +} + +.icon-refresh { + background-position: -240px -24px; +} + +.icon-list-alt { + background-position: -264px -24px; +} + +.icon-lock { + background-position: -287px -24px; +} + +.icon-flag { + background-position: -312px -24px; +} + +.icon-headphones { + background-position: -336px -24px; +} + +.icon-volume-off { + background-position: -360px -24px; +} + +.icon-volume-down { + background-position: -384px -24px; +} + +.icon-volume-up { + background-position: -408px -24px; +} + +.icon-qrcode { + background-position: -432px -24px; +} + +.icon-barcode { + background-position: -456px -24px; +} + +.icon-tag { + background-position: 0 -48px; +} + +.icon-tags { + background-position: -25px -48px; +} + +.icon-book { + background-position: -48px -48px; +} + +.icon-bookmark { + background-position: -72px -48px; +} + +.icon-print { + background-position: -96px -48px; +} + +.icon-camera { + background-position: -120px -48px; +} + +.icon-font { + background-position: -144px -48px; +} + +.icon-bold { + background-position: -167px -48px; +} + +.icon-italic { + background-position: -192px -48px; +} + +.icon-text-height { + background-position: -216px -48px; +} + +.icon-text-width { + background-position: -240px -48px; +} + +.icon-align-left { + background-position: -264px -48px; +} + +.icon-align-center { + background-position: -288px -48px; +} + +.icon-align-right { + background-position: -312px -48px; +} + +.icon-align-justify { + background-position: -336px -48px; +} + +.icon-list { + background-position: -360px -48px; +} + +.icon-indent-left { + background-position: -384px -48px; +} + +.icon-indent-right { + background-position: -408px -48px; +} + +.icon-facetime-video { + background-position: -432px -48px; +} + +.icon-picture { + background-position: -456px -48px; +} + +.icon-pencil { + background-position: 0 -72px; +} + +.icon-map-marker { + background-position: -24px -72px; +} + +.icon-adjust { + background-position: -48px -72px; +} + +.icon-tint { + background-position: -72px -72px; +} + +.icon-edit { + background-position: -96px -72px; +} + +.icon-share { + background-position: -120px -72px; +} + +.icon-check { + background-position: -144px -72px; +} + +.icon-move { + background-position: -168px -72px; +} + +.icon-step-backward { + background-position: -192px -72px; +} + +.icon-fast-backward { + background-position: -216px -72px; +} + +.icon-backward { + background-position: -240px -72px; +} + +.icon-play { + background-position: -264px -72px; +} + +.icon-pause { + background-position: -288px -72px; +} + +.icon-stop { + background-position: -312px -72px; +} + +.icon-forward { + background-position: -336px -72px; +} + +.icon-fast-forward { + background-position: -360px -72px; +} + +.icon-step-forward { + background-position: -384px -72px; +} + +.icon-eject { + background-position: -408px -72px; +} + +.icon-chevron-left { + background-position: -432px -72px; +} + +.icon-chevron-right { + background-position: -456px -72px; +} + +.icon-plus-sign { + background-position: 0 -96px; +} + +.icon-minus-sign { + background-position: -24px -96px; +} + +.icon-remove-sign { + background-position: -48px -96px; +} + +.icon-ok-sign { + background-position: -72px -96px; +} + +.icon-question-sign { + background-position: -96px -96px; +} + +.icon-info-sign { + background-position: -120px -96px; +} + +.icon-screenshot { + background-position: -144px -96px; +} + +.icon-remove-circle { + background-position: -168px -96px; +} + +.icon-ok-circle { + background-position: -192px -96px; +} + +.icon-ban-circle { + background-position: -216px -96px; +} + +.icon-arrow-left { + background-position: -240px -96px; +} + +.icon-arrow-right { + background-position: -264px -96px; +} + +.icon-arrow-up { + background-position: -289px -96px; +} + +.icon-arrow-down { + background-position: -312px -96px; +} + +.icon-share-alt { + background-position: -336px -96px; +} + +.icon-resize-full { + background-position: -360px -96px; +} + +.icon-resize-small { + background-position: -384px -96px; +} + +.icon-plus { + background-position: -408px -96px; +} + +.icon-minus { + background-position: -433px -96px; +} + +.icon-asterisk { + background-position: -456px -96px; +} + +.icon-exclamation-sign { + background-position: 0 -120px; +} + +.icon-gift { + background-position: -24px -120px; +} + +.icon-leaf { + background-position: -48px -120px; +} + +.icon-fire { + background-position: -72px -120px; +} + +.icon-eye-open { + background-position: -96px -120px; +} + +.icon-eye-close { + background-position: -120px -120px; +} + +.icon-warning-sign { + background-position: -144px -120px; +} + +.icon-plane { + background-position: -168px -120px; +} + +.icon-calendar { + background-position: -192px -120px; +} + +.icon-random { + width: 16px; + background-position: -216px -120px; +} + +.icon-comment { + background-position: -240px -120px; +} + +.icon-magnet { + background-position: -264px -120px; +} + +.icon-chevron-up { + background-position: -288px -120px; +} + +.icon-chevron-down { + background-position: -313px -119px; +} + +.icon-retweet { + background-position: -336px -120px; +} + +.icon-shopping-cart { + background-position: -360px -120px; +} + +.icon-folder-close { + width: 16px; + background-position: -384px -120px; +} + +.icon-folder-open { + width: 16px; + background-position: -408px -120px; +} + +.icon-resize-vertical { + background-position: -432px -119px; +} + +.icon-resize-horizontal { + background-position: -456px -118px; +} + +.icon-hdd { + background-position: 0 -144px; +} + +.icon-bullhorn { + background-position: -24px -144px; +} + +.icon-bell { + background-position: -48px -144px; +} + +.icon-certificate { + background-position: -72px -144px; +} + +.icon-thumbs-up { + background-position: -96px -144px; +} + +.icon-thumbs-down { + background-position: -120px -144px; +} + +.icon-hand-right { + background-position: -144px -144px; +} + +.icon-hand-left { + background-position: -168px -144px; +} + +.icon-hand-up { + background-position: -192px -144px; +} + +.icon-hand-down { + background-position: -216px -144px; +} + +.icon-circle-arrow-right { + background-position: -240px -144px; +} + +.icon-circle-arrow-left { + background-position: -264px -144px; +} + +.icon-circle-arrow-up { + background-position: -288px -144px; +} + +.icon-circle-arrow-down { + background-position: -312px -144px; +} + +.icon-globe { + background-position: -336px -144px; +} + +.icon-wrench { + background-position: -360px -144px; +} + +.icon-tasks { + background-position: -384px -144px; +} + +.icon-filter { + background-position: -408px -144px; +} + +.icon-briefcase { + background-position: -432px -144px; +} + +.icon-fullscreen { + background-position: -456px -144px; +} + +.dropup, +.dropdown { + position: relative; +} + +.dropdown-toggle { + *margin-bottom: -3px; +} + +.dropdown-toggle:active, +.open .dropdown-toggle { + outline: 0; +} + +.caret { + display: inline-block; + width: 0; + height: 0; + vertical-align: top; + border-top: 4px solid #000000; + border-right: 4px solid transparent; + border-left: 4px solid transparent; + content: ""; +} + +.dropdown .caret { + margin-top: 8px; + margin-left: 2px; +} + +.dropdown-menu { + position: absolute; + top: 100%; + left: 0; + z-index: 1000; + display: none; + float: left; + min-width: 160px; + padding: 5px 0; + margin: 2px 0 0; + list-style: none; + background-color: #ffffff; + border: 1px solid #ccc; + border: 1px solid rgba(0, 0, 0, 0.2); + *border-right-width: 2px; + *border-bottom-width: 2px; + -webkit-border-radius: 6px; + -moz-border-radius: 6px; + border-radius: 6px; + -webkit-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2); + -moz-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2); + box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2); + -webkit-background-clip: padding-box; + -moz-background-clip: padding; + background-clip: padding-box; +} + +.dropdown-menu.pull-right { + right: 0; + left: auto; +} + +.dropdown-menu .divider { + *width: 100%; + height: 1px; + margin: 9px 1px; + *margin: -5px 0 5px; + overflow: hidden; + background-color: #e5e5e5; + border-bottom: 1px solid #ffffff; +} + +.dropdown-menu > li > a { + display: block; + padding: 3px 20px; + clear: both; + font-weight: normal; + line-height: 20px; + color: #333333; + white-space: nowrap; +} + +.dropdown-menu > li > a:hover, +.dropdown-menu > li > a:focus, +.dropdown-submenu:hover > a, +.dropdown-submenu:focus > a { + color: #ffffff; + text-decoration: none; + background-color: #0081c2; + background-image: -moz-linear-gradient(top, #0088cc, #0077b3); + background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#0088cc), to(#0077b3)); + background-image: -webkit-linear-gradient(top, #0088cc, #0077b3); + background-image: -o-linear-gradient(top, #0088cc, #0077b3); + background-image: linear-gradient(to bottom, #0088cc, #0077b3); + background-repeat: repeat-x; + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff0088cc', endColorstr='#ff0077b3', GradientType=0); +} + +.dropdown-menu > .active > a, +.dropdown-menu > .active > a:hover, +.dropdown-menu > .active > a:focus { + color: #ffffff; + text-decoration: none; + background-color: #0081c2; + background-image: -moz-linear-gradient(top, #0088cc, #0077b3); + background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#0088cc), to(#0077b3)); + background-image: -webkit-linear-gradient(top, #0088cc, #0077b3); + background-image: -o-linear-gradient(top, #0088cc, #0077b3); + background-image: linear-gradient(to bottom, #0088cc, #0077b3); + background-repeat: repeat-x; + outline: 0; + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff0088cc', endColorstr='#ff0077b3', GradientType=0); +} + +.dropdown-menu > .disabled > a, +.dropdown-menu > .disabled > a:hover, +.dropdown-menu > .disabled > a:focus { + color: #999999; +} + +.dropdown-menu > .disabled > a:hover, +.dropdown-menu > .disabled > a:focus { + text-decoration: none; + cursor: default; + background-color: transparent; + background-image: none; + filter: progid:DXImageTransform.Microsoft.gradient(enabled=false); +} + +.open { + *z-index: 1000; +} + +.open > .dropdown-menu { + display: block; +} + +.dropdown-backdrop { + position: fixed; + top: 0; + right: 0; + bottom: 0; + left: 0; + z-index: 990; +} + +.pull-right > .dropdown-menu { + right: 0; + left: auto; +} + +.dropup .caret, +.navbar-fixed-bottom .dropdown .caret { + border-top: 0; + border-bottom: 4px solid #000000; + content: ""; +} + +.dropup .dropdown-menu, +.navbar-fixed-bottom .dropdown .dropdown-menu { + top: auto; + bottom: 100%; + margin-bottom: 1px; +} + +.dropdown-submenu { + position: relative; +} + +.dropdown-submenu > .dropdown-menu { + top: 0; + left: 100%; + margin-top: -6px; + margin-left: -1px; + -webkit-border-radius: 0 6px 6px 6px; + -moz-border-radius: 0 6px 6px 6px; + border-radius: 0 6px 6px 6px; +} + +.dropdown-submenu:hover > .dropdown-menu { + display: block; +} + +.dropup .dropdown-submenu > .dropdown-menu { + top: auto; + bottom: 0; + margin-top: 0; + margin-bottom: -2px; + -webkit-border-radius: 5px 5px 5px 0; + -moz-border-radius: 5px 5px 5px 0; + border-radius: 5px 5px 5px 0; +} + +.dropdown-submenu > a:after { + display: block; + float: right; + width: 0; + height: 0; + margin-top: 5px; + margin-right: -10px; + border-color: transparent; + border-left-color: #cccccc; + border-style: solid; + border-width: 5px 0 5px 5px; + content: " "; +} + +.dropdown-submenu:hover > a:after { + border-left-color: #ffffff; +} + +.dropdown-submenu.pull-left { + float: none; +} + +.dropdown-submenu.pull-left > .dropdown-menu { + left: -100%; + margin-left: 10px; + -webkit-border-radius: 6px 0 6px 6px; + -moz-border-radius: 6px 0 6px 6px; + border-radius: 6px 0 6px 6px; +} + +.dropdown .dropdown-menu .nav-header { + padding-right: 20px; + padding-left: 20px; +} + +.typeahead { + z-index: 1051; + margin-top: 2px; + -webkit-border-radius: 4px; + -moz-border-radius: 4px; + border-radius: 4px; +} + +.well { + min-height: 20px; + padding: 19px; + margin-bottom: 20px; + background-color: #f5f5f5; + border: 1px solid #e3e3e3; + -webkit-border-radius: 4px; + -moz-border-radius: 4px; + border-radius: 4px; + -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05); + -moz-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05); + box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05); +} + +.well blockquote { + border-color: #ddd; + border-color: rgba(0, 0, 0, 0.15); +} + +.well-large { + padding: 24px; + -webkit-border-radius: 6px; + -moz-border-radius: 6px; + border-radius: 6px; +} + +.well-small { + padding: 9px; + -webkit-border-radius: 3px; + -moz-border-radius: 3px; + border-radius: 3px; +} + +.fade { + opacity: 0; + -webkit-transition: opacity 0.15s linear; + -moz-transition: opacity 0.15s linear; + -o-transition: opacity 0.15s linear; + transition: opacity 0.15s linear; +} + +.fade.in { + opacity: 1; +} + +.collapse { + position: relative; + height: 0; + overflow: hidden; + -webkit-transition: height 0.35s ease; + -moz-transition: height 0.35s ease; + -o-transition: height 0.35s ease; + transition: height 0.35s ease; +} + +.collapse.in { + height: auto; +} + +.close { + float: right; + font-size: 20px; + font-weight: bold; + line-height: 20px; + color: #000000; + text-shadow: 0 1px 0 #ffffff; + opacity: 0.2; + filter: alpha(opacity=20); +} + +.close:hover, +.close:focus { + color: #000000; + text-decoration: none; + cursor: pointer; + opacity: 0.4; + filter: alpha(opacity=40); +} + +button.close { + padding: 0; + cursor: pointer; + background: transparent; + border: 0; + -webkit-appearance: none; +} + +.btn { + display: inline-block; + *display: inline; + padding: 4px 12px; + margin-bottom: 0; + *margin-left: .3em; + font-size: 14px; + line-height: 20px; + color: #333333; + text-align: center; + text-shadow: 0 1px 1px rgba(255, 255, 255, 0.75); + vertical-align: middle; + cursor: pointer; + background-color: #f5f5f5; + *background-color: #e6e6e6; + background-image: -moz-linear-gradient(top, #ffffff, #e6e6e6); + background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#ffffff), to(#e6e6e6)); + background-image: -webkit-linear-gradient(top, #ffffff, #e6e6e6); + background-image: -o-linear-gradient(top, #ffffff, #e6e6e6); + background-image: linear-gradient(to bottom, #ffffff, #e6e6e6); + background-repeat: repeat-x; + border: 1px solid #cccccc; + *border: 0; + border-color: #e6e6e6 #e6e6e6 #bfbfbf; + border-color: rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25); + border-bottom-color: #b3b3b3; + -webkit-border-radius: 4px; + -moz-border-radius: 4px; + border-radius: 4px; + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffffffff', endColorstr='#ffe6e6e6', GradientType=0); + filter: progid:DXImageTransform.Microsoft.gradient(enabled=false); + *zoom: 1; + -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.2), 0 1px 2px rgba(0, 0, 0, 0.05); + -moz-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.2), 0 1px 2px rgba(0, 0, 0, 0.05); + box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.2), 0 1px 2px rgba(0, 0, 0, 0.05); +} + +.btn:hover, +.btn:focus, +.btn:active, +.btn.active, +.btn.disabled, +.btn[disabled] { + color: #333333; + background-color: #e6e6e6; + *background-color: #d9d9d9; +} + +.btn:active, +.btn.active { + background-color: #cccccc \9; +} + +.btn:first-child { + *margin-left: 0; +} + +.btn:hover, +.btn:focus { + color: #333333; + text-decoration: none; + background-position: 0 -15px; + -webkit-transition: background-position 0.1s linear; + -moz-transition: background-position 0.1s linear; + -o-transition: background-position 0.1s linear; + transition: background-position 0.1s linear; +} + +.btn:focus { + outline: thin dotted #333; + outline: 5px auto -webkit-focus-ring-color; + outline-offset: -2px; +} + +.btn.active, +.btn:active { + background-image: none; + outline: 0; + -webkit-box-shadow: inset 0 2px 4px rgba(0, 0, 0, 0.15), 0 1px 2px rgba(0, 0, 0, 0.05); + -moz-box-shadow: inset 0 2px 4px rgba(0, 0, 0, 0.15), 0 1px 2px rgba(0, 0, 0, 0.05); + box-shadow: inset 0 2px 4px rgba(0, 0, 0, 0.15), 0 1px 2px rgba(0, 0, 0, 0.05); +} + +.btn.disabled, +.btn[disabled] { + cursor: default; + background-image: none; + opacity: 0.65; + filter: alpha(opacity=65); + -webkit-box-shadow: none; + -moz-box-shadow: none; + box-shadow: none; +} + +.btn-large { + padding: 11px 19px; + font-size: 17.5px; + -webkit-border-radius: 6px; + -moz-border-radius: 6px; + border-radius: 6px; +} + +.btn-large [class^="icon-"], +.btn-large [class*=" icon-"] { + margin-top: 4px; +} + +.btn-small { + padding: 2px 10px; + font-size: 11.9px; + -webkit-border-radius: 3px; + -moz-border-radius: 3px; + border-radius: 3px; +} + +.btn-small [class^="icon-"], +.btn-small [class*=" icon-"] { + margin-top: 0; +} + +.btn-mini [class^="icon-"], +.btn-mini [class*=" icon-"] { + margin-top: -1px; +} + +.btn-mini { + padding: 0 6px; + font-size: 10.5px; + -webkit-border-radius: 3px; + -moz-border-radius: 3px; + border-radius: 3px; +} + +.btn-block { + display: block; + width: 100%; + padding-right: 0; + padding-left: 0; + -webkit-box-sizing: border-box; + -moz-box-sizing: border-box; + box-sizing: border-box; +} + +.btn-block + .btn-block { + margin-top: 5px; +} + +input[type="submit"].btn-block, +input[type="reset"].btn-block, +input[type="button"].btn-block { + width: 100%; +} + +.btn-primary.active, +.btn-warning.active, +.btn-danger.active, +.btn-success.active, +.btn-info.active, +.btn-inverse.active { + color: rgba(255, 255, 255, 0.75); +} + +.btn-primary { + color: #ffffff; + text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25); + background-color: #006dcc; + *background-color: #0044cc; + background-image: -moz-linear-gradient(top, #0088cc, #0044cc); + background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#0088cc), to(#0044cc)); + background-image: -webkit-linear-gradient(top, #0088cc, #0044cc); + background-image: -o-linear-gradient(top, #0088cc, #0044cc); + background-image: linear-gradient(to bottom, #0088cc, #0044cc); + background-repeat: repeat-x; + border-color: #0044cc #0044cc #002a80; + border-color: rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff0088cc', endColorstr='#ff0044cc', GradientType=0); + filter: progid:DXImageTransform.Microsoft.gradient(enabled=false); +} + +.btn-primary:hover, +.btn-primary:focus, +.btn-primary:active, +.btn-primary.active, +.btn-primary.disabled, +.btn-primary[disabled] { + color: #ffffff; + background-color: #0044cc; + *background-color: #003bb3; +} + +.btn-primary:active, +.btn-primary.active { + background-color: #003399 \9; +} + +.btn-warning { + color: #ffffff; + text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25); + background-color: #faa732; + *background-color: #f89406; + background-image: -moz-linear-gradient(top, #fbb450, #f89406); + background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#fbb450), to(#f89406)); + background-image: -webkit-linear-gradient(top, #fbb450, #f89406); + background-image: -o-linear-gradient(top, #fbb450, #f89406); + background-image: linear-gradient(to bottom, #fbb450, #f89406); + background-repeat: repeat-x; + border-color: #f89406 #f89406 #ad6704; + border-color: rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fffbb450', endColorstr='#fff89406', GradientType=0); + filter: progid:DXImageTransform.Microsoft.gradient(enabled=false); +} + +.btn-warning:hover, +.btn-warning:focus, +.btn-warning:active, +.btn-warning.active, +.btn-warning.disabled, +.btn-warning[disabled] { + color: #ffffff; + background-color: #f89406; + *background-color: #df8505; +} + +.btn-warning:active, +.btn-warning.active { + background-color: #c67605 \9; +} + +.btn-danger { + color: #ffffff; + text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25); + background-color: #da4f49; + *background-color: #bd362f; + background-image: -moz-linear-gradient(top, #ee5f5b, #bd362f); + background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#ee5f5b), to(#bd362f)); + background-image: -webkit-linear-gradient(top, #ee5f5b, #bd362f); + background-image: -o-linear-gradient(top, #ee5f5b, #bd362f); + background-image: linear-gradient(to bottom, #ee5f5b, #bd362f); + background-repeat: repeat-x; + border-color: #bd362f #bd362f #802420; + border-color: rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffee5f5b', endColorstr='#ffbd362f', GradientType=0); + filter: progid:DXImageTransform.Microsoft.gradient(enabled=false); +} + +.btn-danger:hover, +.btn-danger:focus, +.btn-danger:active, +.btn-danger.active, +.btn-danger.disabled, +.btn-danger[disabled] { + color: #ffffff; + background-color: #bd362f; + *background-color: #a9302a; +} + +.btn-danger:active, +.btn-danger.active { + background-color: #942a25 \9; +} + +.btn-success { + color: #ffffff; + text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25); + background-color: #5bb75b; + *background-color: #51a351; + background-image: -moz-linear-gradient(top, #62c462, #51a351); + background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#62c462), to(#51a351)); + background-image: -webkit-linear-gradient(top, #62c462, #51a351); + background-image: -o-linear-gradient(top, #62c462, #51a351); + background-image: linear-gradient(to bottom, #62c462, #51a351); + background-repeat: repeat-x; + border-color: #51a351 #51a351 #387038; + border-color: rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff62c462', endColorstr='#ff51a351', GradientType=0); + filter: progid:DXImageTransform.Microsoft.gradient(enabled=false); +} + +.btn-success:hover, +.btn-success:focus, +.btn-success:active, +.btn-success.active, +.btn-success.disabled, +.btn-success[disabled] { + color: #ffffff; + background-color: #51a351; + *background-color: #499249; +} + +.btn-success:active, +.btn-success.active { + background-color: #408140 \9; +} + +.btn-info { + color: #ffffff; + text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25); + background-color: #49afcd; + *background-color: #2f96b4; + background-image: -moz-linear-gradient(top, #5bc0de, #2f96b4); + background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#5bc0de), to(#2f96b4)); + background-image: -webkit-linear-gradient(top, #5bc0de, #2f96b4); + background-image: -o-linear-gradient(top, #5bc0de, #2f96b4); + background-image: linear-gradient(to bottom, #5bc0de, #2f96b4); + background-repeat: repeat-x; + border-color: #2f96b4 #2f96b4 #1f6377; + border-color: rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5bc0de', endColorstr='#ff2f96b4', GradientType=0); + filter: progid:DXImageTransform.Microsoft.gradient(enabled=false); +} + +.btn-info:hover, +.btn-info:focus, +.btn-info:active, +.btn-info.active, +.btn-info.disabled, +.btn-info[disabled] { + color: #ffffff; + background-color: #2f96b4; + *background-color: #2a85a0; +} + +.btn-info:active, +.btn-info.active { + background-color: #24748c \9; +} + +.btn-inverse { + color: #ffffff; + text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25); + background-color: #363636; + *background-color: #222222; + background-image: -moz-linear-gradient(top, #444444, #222222); + background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#444444), to(#222222)); + background-image: -webkit-linear-gradient(top, #444444, #222222); + background-image: -o-linear-gradient(top, #444444, #222222); + background-image: linear-gradient(to bottom, #444444, #222222); + background-repeat: repeat-x; + border-color: #222222 #222222 #000000; + border-color: rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff444444', endColorstr='#ff222222', GradientType=0); + filter: progid:DXImageTransform.Microsoft.gradient(enabled=false); +} + +.btn-inverse:hover, +.btn-inverse:focus, +.btn-inverse:active, +.btn-inverse.active, +.btn-inverse.disabled, +.btn-inverse[disabled] { + color: #ffffff; + background-color: #222222; + *background-color: #151515; +} + +.btn-inverse:active, +.btn-inverse.active { + background-color: #080808 \9; +} + +button.btn, +input[type="submit"].btn { + *padding-top: 3px; + *padding-bottom: 3px; +} + +button.btn::-moz-focus-inner, +input[type="submit"].btn::-moz-focus-inner { + padding: 0; + border: 0; +} + +button.btn.btn-large, +input[type="submit"].btn.btn-large { + *padding-top: 7px; + *padding-bottom: 7px; +} + +button.btn.btn-small, +input[type="submit"].btn.btn-small { + *padding-top: 3px; + *padding-bottom: 3px; +} + +button.btn.btn-mini, +input[type="submit"].btn.btn-mini { + *padding-top: 1px; + *padding-bottom: 1px; +} + +.btn-link, +.btn-link:active, +.btn-link[disabled] { + background-color: transparent; + background-image: none; + -webkit-box-shadow: none; + -moz-box-shadow: none; + box-shadow: none; +} + +.btn-link { + color: #0088cc; + cursor: pointer; + border-color: transparent; + -webkit-border-radius: 0; + -moz-border-radius: 0; + border-radius: 0; +} + +.btn-link:hover, +.btn-link:focus { + color: #005580; + text-decoration: underline; + background-color: transparent; +} + +.btn-link[disabled]:hover, +.btn-link[disabled]:focus { + color: #333333; + text-decoration: none; +} + +.btn-group { + position: relative; + display: inline-block; + *display: inline; + *margin-left: .3em; + font-size: 0; + white-space: nowrap; + vertical-align: middle; + *zoom: 1; +} + +.btn-group:first-child { + *margin-left: 0; +} + +.btn-group + .btn-group { + margin-left: 5px; +} + +.btn-toolbar { + margin-top: 10px; + margin-bottom: 10px; + font-size: 0; +} + +.btn-toolbar > .btn + .btn, +.btn-toolbar > .btn-group + .btn, +.btn-toolbar > .btn + .btn-group { + margin-left: 5px; +} + +.btn-group > .btn { + position: relative; + -webkit-border-radius: 0; + -moz-border-radius: 0; + border-radius: 0; +} + +.btn-group > .btn + .btn { + margin-left: -1px; +} + +.btn-group > .btn, +.btn-group > .dropdown-menu, +.btn-group > .popover { + font-size: 14px; +} + +.btn-group > .btn-mini { + font-size: 10.5px; +} + +.btn-group > .btn-small { + font-size: 11.9px; +} + +.btn-group > .btn-large { + font-size: 17.5px; +} + +.btn-group > .btn:first-child { + margin-left: 0; + -webkit-border-bottom-left-radius: 4px; + border-bottom-left-radius: 4px; + -webkit-border-top-left-radius: 4px; + border-top-left-radius: 4px; + -moz-border-radius-bottomleft: 4px; + -moz-border-radius-topleft: 4px; +} + +.btn-group > .btn:last-child, +.btn-group > .dropdown-toggle { + -webkit-border-top-right-radius: 4px; + border-top-right-radius: 4px; + -webkit-border-bottom-right-radius: 4px; + border-bottom-right-radius: 4px; + -moz-border-radius-topright: 4px; + -moz-border-radius-bottomright: 4px; +} + +.btn-group > .btn.large:first-child { + margin-left: 0; + -webkit-border-bottom-left-radius: 6px; + border-bottom-left-radius: 6px; + -webkit-border-top-left-radius: 6px; + border-top-left-radius: 6px; + -moz-border-radius-bottomleft: 6px; + -moz-border-radius-topleft: 6px; +} + +.btn-group > .btn.large:last-child, +.btn-group > .large.dropdown-toggle { + -webkit-border-top-right-radius: 6px; + border-top-right-radius: 6px; + -webkit-border-bottom-right-radius: 6px; + border-bottom-right-radius: 6px; + -moz-border-radius-topright: 6px; + -moz-border-radius-bottomright: 6px; +} + +.btn-group > .btn:hover, +.btn-group > .btn:focus, +.btn-group > .btn:active, +.btn-group > .btn.active { + z-index: 2; +} + +.btn-group .dropdown-toggle:active, +.btn-group.open .dropdown-toggle { + outline: 0; +} + +.btn-group > .btn + .dropdown-toggle { + *padding-top: 5px; + padding-right: 8px; + *padding-bottom: 5px; + padding-left: 8px; + -webkit-box-shadow: inset 1px 0 0 rgba(255, 255, 255, 0.125), inset 0 1px 0 rgba(255, 255, 255, 0.2), 0 1px 2px rgba(0, 0, 0, 0.05); + -moz-box-shadow: inset 1px 0 0 rgba(255, 255, 255, 0.125), inset 0 1px 0 rgba(255, 255, 255, 0.2), 0 1px 2px rgba(0, 0, 0, 0.05); + box-shadow: inset 1px 0 0 rgba(255, 255, 255, 0.125), inset 0 1px 0 rgba(255, 255, 255, 0.2), 0 1px 2px rgba(0, 0, 0, 0.05); +} + +.btn-group > .btn-mini + .dropdown-toggle { + *padding-top: 2px; + padding-right: 5px; + *padding-bottom: 2px; + padding-left: 5px; +} + +.btn-group > .btn-small + .dropdown-toggle { + *padding-top: 5px; + *padding-bottom: 4px; +} + +.btn-group > .btn-large + .dropdown-toggle { + *padding-top: 7px; + padding-right: 12px; + *padding-bottom: 7px; + padding-left: 12px; +} + +.btn-group.open .dropdown-toggle { + background-image: none; + -webkit-box-shadow: inset 0 2px 4px rgba(0, 0, 0, 0.15), 0 1px 2px rgba(0, 0, 0, 0.05); + -moz-box-shadow: inset 0 2px 4px rgba(0, 0, 0, 0.15), 0 1px 2px rgba(0, 0, 0, 0.05); + box-shadow: inset 0 2px 4px rgba(0, 0, 0, 0.15), 0 1px 2px rgba(0, 0, 0, 0.05); +} + +.btn-group.open .btn.dropdown-toggle { + background-color: #e6e6e6; +} + +.btn-group.open .btn-primary.dropdown-toggle { + background-color: #0044cc; +} + +.btn-group.open .btn-warning.dropdown-toggle { + background-color: #f89406; +} + +.btn-group.open .btn-danger.dropdown-toggle { + background-color: #bd362f; +} + +.btn-group.open .btn-success.dropdown-toggle { + background-color: #51a351; +} + +.btn-group.open .btn-info.dropdown-toggle { + background-color: #2f96b4; +} + +.btn-group.open .btn-inverse.dropdown-toggle { + background-color: #222222; +} + +.btn .caret { + margin-top: 8px; + margin-left: 0; +} + +.btn-large .caret { + margin-top: 6px; +} + +.btn-large .caret { + border-top-width: 5px; + border-right-width: 5px; + border-left-width: 5px; +} + +.btn-mini .caret, +.btn-small .caret { + margin-top: 8px; +} + +.dropup .btn-large .caret { + border-bottom-width: 5px; +} + +.btn-primary .caret, +.btn-warning .caret, +.btn-danger .caret, +.btn-info .caret, +.btn-success .caret, +.btn-inverse .caret { + border-top-color: #ffffff; + border-bottom-color: #ffffff; +} + +.btn-group-vertical { + display: inline-block; + *display: inline; + /* IE7 inline-block hack */ + + *zoom: 1; +} + +.btn-group-vertical > .btn { + display: block; + float: none; + max-width: 100%; + -webkit-border-radius: 0; + -moz-border-radius: 0; + border-radius: 0; +} + +.btn-group-vertical > .btn + .btn { + margin-top: -1px; + margin-left: 0; +} + +.btn-group-vertical > .btn:first-child { + -webkit-border-radius: 4px 4px 0 0; + -moz-border-radius: 4px 4px 0 0; + border-radius: 4px 4px 0 0; +} + +.btn-group-vertical > .btn:last-child { + -webkit-border-radius: 0 0 4px 4px; + -moz-border-radius: 0 0 4px 4px; + border-radius: 0 0 4px 4px; +} + +.btn-group-vertical > .btn-large:first-child { + -webkit-border-radius: 6px 6px 0 0; + -moz-border-radius: 6px 6px 0 0; + border-radius: 6px 6px 0 0; +} + +.btn-group-vertical > .btn-large:last-child { + -webkit-border-radius: 0 0 6px 6px; + -moz-border-radius: 0 0 6px 6px; + border-radius: 0 0 6px 6px; +} + +.alert { + padding: 8px 35px 8px 14px; + margin-bottom: 20px; + text-shadow: 0 1px 0 rgba(255, 255, 255, 0.5); + background-color: #fcf8e3; + border: 1px solid #fbeed5; + -webkit-border-radius: 4px; + -moz-border-radius: 4px; + border-radius: 4px; +} + +.alert, +.alert h4 { + color: #c09853; +} + +.alert h4 { + margin: 0; +} + +.alert .close { + position: relative; + top: -2px; + right: -21px; + line-height: 20px; +} + +.alert-success { + color: #468847; + background-color: #dff0d8; + border-color: #d6e9c6; +} + +.alert-success h4 { + color: #468847; +} + +.alert-danger, +.alert-error { + color: #b94a48; + background-color: #f2dede; + border-color: #eed3d7; +} + +.alert-danger h4, +.alert-error h4 { + color: #b94a48; +} + +.alert-info { + color: #3a87ad; + background-color: #d9edf7; + border-color: #bce8f1; +} + +.alert-info h4 { + color: #3a87ad; +} + +.alert-block { + padding-top: 14px; + padding-bottom: 14px; +} + +.alert-block > p, +.alert-block > ul { + margin-bottom: 0; +} + +.alert-block p + p { + margin-top: 5px; +} + +.nav { + margin-bottom: 20px; + margin-left: 0; + list-style: none; +} + +.nav > li > a { + display: block; +} + +.nav > li > a:hover, +.nav > li > a:focus { + text-decoration: none; + background-color: #eeeeee; +} + +.nav > li > a > img { + max-width: none; +} + +.nav > .pull-right { + float: right; +} + +.nav-header { + display: block; + padding: 3px 15px; + font-size: 11px; + font-weight: bold; + line-height: 20px; + color: #999999; + text-shadow: 0 1px 0 rgba(255, 255, 255, 0.5); + text-transform: uppercase; +} + +.nav li + .nav-header { + margin-top: 9px; +} + +.nav-list { + padding-right: 15px; + padding-left: 15px; + margin-bottom: 0; +} + +.nav-list > li > a, +.nav-list .nav-header { + margin-right: -15px; + margin-left: -15px; + text-shadow: 0 1px 0 rgba(255, 255, 255, 0.5); +} + +.nav-list > li > a { + padding: 3px 15px; +} + +.nav-list > .active > a, +.nav-list > .active > a:hover, +.nav-list > .active > a:focus { + color: #ffffff; + text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.2); + background-color: #0088cc; +} + +.nav-list [class^="icon-"], +.nav-list [class*=" icon-"] { + margin-right: 2px; +} + +.nav-list .divider { + *width: 100%; + height: 1px; + margin: 9px 1px; + *margin: -5px 0 5px; + overflow: hidden; + background-color: #e5e5e5; + border-bottom: 1px solid #ffffff; +} + +.nav-tabs, +.nav-pills { + *zoom: 1; +} + +.nav-tabs:before, +.nav-pills:before, +.nav-tabs:after, +.nav-pills:after { + display: table; + line-height: 0; + content: ""; +} + +.nav-tabs:after, +.nav-pills:after { + clear: both; +} + +.nav-tabs > li, +.nav-pills > li { + float: left; +} + +.nav-tabs > li > a, +.nav-pills > li > a { + padding-right: 12px; + padding-left: 12px; + margin-right: 2px; + line-height: 14px; +} + +.nav-tabs { + border-bottom: 1px solid #ddd; +} + +.nav-tabs > li { + margin-bottom: -1px; +} + +.nav-tabs > li > a { + padding-top: 8px; + padding-bottom: 8px; + line-height: 20px; + border: 1px solid transparent; + -webkit-border-radius: 4px 4px 0 0; + -moz-border-radius: 4px 4px 0 0; + border-radius: 4px 4px 0 0; +} + +.nav-tabs > li > a:hover, +.nav-tabs > li > a:focus { + border-color: #eeeeee #eeeeee #dddddd; +} + +.nav-tabs > .active > a, +.nav-tabs > .active > a:hover, +.nav-tabs > .active > a:focus { + color: #555555; + cursor: default; + background-color: #ffffff; + border: 1px solid #ddd; + border-bottom-color: transparent; +} + +.nav-pills > li > a { + padding-top: 8px; + padding-bottom: 8px; + margin-top: 2px; + margin-bottom: 2px; + -webkit-border-radius: 5px; + -moz-border-radius: 5px; + border-radius: 5px; +} + +.nav-pills > .active > a, +.nav-pills > .active > a:hover, +.nav-pills > .active > a:focus { + color: #ffffff; + background-color: #0088cc; +} + +.nav-stacked > li { + float: none; +} + +.nav-stacked > li > a { + margin-right: 0; +} + +.nav-tabs.nav-stacked { + border-bottom: 0; +} + +.nav-tabs.nav-stacked > li > a { + border: 1px solid #ddd; + -webkit-border-radius: 0; + -moz-border-radius: 0; + border-radius: 0; +} + +.nav-tabs.nav-stacked > li:first-child > a { + -webkit-border-top-right-radius: 4px; + border-top-right-radius: 4px; + -webkit-border-top-left-radius: 4px; + border-top-left-radius: 4px; + -moz-border-radius-topright: 4px; + -moz-border-radius-topleft: 4px; +} + +.nav-tabs.nav-stacked > li:last-child > a { + -webkit-border-bottom-right-radius: 4px; + border-bottom-right-radius: 4px; + -webkit-border-bottom-left-radius: 4px; + border-bottom-left-radius: 4px; + -moz-border-radius-bottomright: 4px; + -moz-border-radius-bottomleft: 4px; +} + +.nav-tabs.nav-stacked > li > a:hover, +.nav-tabs.nav-stacked > li > a:focus { + z-index: 2; + border-color: #ddd; +} + +.nav-pills.nav-stacked > li > a { + margin-bottom: 3px; +} + +.nav-pills.nav-stacked > li:last-child > a { + margin-bottom: 1px; +} + +.nav-tabs .dropdown-menu { + -webkit-border-radius: 0 0 6px 6px; + -moz-border-radius: 0 0 6px 6px; + border-radius: 0 0 6px 6px; +} + +.nav-pills .dropdown-menu { + -webkit-border-radius: 6px; + -moz-border-radius: 6px; + border-radius: 6px; +} + +.nav .dropdown-toggle .caret { + margin-top: 6px; + border-top-color: #0088cc; + border-bottom-color: #0088cc; +} + +.nav .dropdown-toggle:hover .caret, +.nav .dropdown-toggle:focus .caret { + border-top-color: #005580; + border-bottom-color: #005580; +} + +/* move down carets for tabs */ + +.nav-tabs .dropdown-toggle .caret { + margin-top: 8px; +} + +.nav .active .dropdown-toggle .caret { + border-top-color: #fff; + border-bottom-color: #fff; +} + +.nav-tabs .active .dropdown-toggle .caret { + border-top-color: #555555; + border-bottom-color: #555555; +} + +.nav > .dropdown.active > a:hover, +.nav > .dropdown.active > a:focus { + cursor: pointer; +} + +.nav-tabs .open .dropdown-toggle, +.nav-pills .open .dropdown-toggle, +.nav > li.dropdown.open.active > a:hover, +.nav > li.dropdown.open.active > a:focus { + color: #ffffff; + background-color: #999999; + border-color: #999999; +} + +.nav li.dropdown.open .caret, +.nav li.dropdown.open.active .caret, +.nav li.dropdown.open a:hover .caret, +.nav li.dropdown.open a:focus .caret { + border-top-color: #ffffff; + border-bottom-color: #ffffff; + opacity: 1; + filter: alpha(opacity=100); +} + +.tabs-stacked .open > a:hover, +.tabs-stacked .open > a:focus { + border-color: #999999; +} + +.tabbable { + *zoom: 1; +} + +.tabbable:before, +.tabbable:after { + display: table; + line-height: 0; + content: ""; +} + +.tabbable:after { + clear: both; +} + +.tab-content { + overflow: auto; +} + +.tabs-below > .nav-tabs, +.tabs-right > .nav-tabs, +.tabs-left > .nav-tabs { + border-bottom: 0; +} + +.tab-content > .tab-pane, +.pill-content > .pill-pane { + display: none; +} + +.tab-content > .active, +.pill-content > .active { + display: block; +} + +.tabs-below > .nav-tabs { + border-top: 1px solid #ddd; +} + +.tabs-below > .nav-tabs > li { + margin-top: -1px; + margin-bottom: 0; +} + +.tabs-below > .nav-tabs > li > a { + -webkit-border-radius: 0 0 4px 4px; + -moz-border-radius: 0 0 4px 4px; + border-radius: 0 0 4px 4px; +} + +.tabs-below > .nav-tabs > li > a:hover, +.tabs-below > .nav-tabs > li > a:focus { + border-top-color: #ddd; + border-bottom-color: transparent; +} + +.tabs-below > .nav-tabs > .active > a, +.tabs-below > .nav-tabs > .active > a:hover, +.tabs-below > .nav-tabs > .active > a:focus { + border-color: transparent #ddd #ddd #ddd; +} + +.tabs-left > .nav-tabs > li, +.tabs-right > .nav-tabs > li { + float: none; +} + +.tabs-left > .nav-tabs > li > a, +.tabs-right > .nav-tabs > li > a { + min-width: 74px; + margin-right: 0; + margin-bottom: 3px; +} + +.tabs-left > .nav-tabs { + float: left; + margin-right: 19px; + border-right: 1px solid #ddd; +} + +.tabs-left > .nav-tabs > li > a { + margin-right: -1px; + -webkit-border-radius: 4px 0 0 4px; + -moz-border-radius: 4px 0 0 4px; + border-radius: 4px 0 0 4px; +} + +.tabs-left > .nav-tabs > li > a:hover, +.tabs-left > .nav-tabs > li > a:focus { + border-color: #eeeeee #dddddd #eeeeee #eeeeee; +} + +.tabs-left > .nav-tabs .active > a, +.tabs-left > .nav-tabs .active > a:hover, +.tabs-left > .nav-tabs .active > a:focus { + border-color: #ddd transparent #ddd #ddd; + *border-right-color: #ffffff; +} + +.tabs-right > .nav-tabs { + float: right; + margin-left: 19px; + border-left: 1px solid #ddd; +} + +.tabs-right > .nav-tabs > li > a { + margin-left: -1px; + -webkit-border-radius: 0 4px 4px 0; + -moz-border-radius: 0 4px 4px 0; + border-radius: 0 4px 4px 0; +} + +.tabs-right > .nav-tabs > li > a:hover, +.tabs-right > .nav-tabs > li > a:focus { + border-color: #eeeeee #eeeeee #eeeeee #dddddd; +} + +.tabs-right > .nav-tabs .active > a, +.tabs-right > .nav-tabs .active > a:hover, +.tabs-right > .nav-tabs .active > a:focus { + border-color: #ddd #ddd #ddd transparent; + *border-left-color: #ffffff; +} + +.nav > .disabled > a { + color: #999999; +} + +.nav > .disabled > a:hover, +.nav > .disabled > a:focus { + text-decoration: none; + cursor: default; + background-color: transparent; +} + +.navbar { + *position: relative; + *z-index: 2; + margin-bottom: 20px; + overflow: visible; +} + +.navbar-inner { + min-height: 40px; + padding-right: 20px; + padding-left: 20px; + background-color: #fafafa; + background-image: -moz-linear-gradient(top, #ffffff, #f2f2f2); + background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#ffffff), to(#f2f2f2)); + background-image: -webkit-linear-gradient(top, #ffffff, #f2f2f2); + background-image: -o-linear-gradient(top, #ffffff, #f2f2f2); + background-image: linear-gradient(to bottom, #ffffff, #f2f2f2); + background-repeat: repeat-x; + border: 1px solid #d4d4d4; + -webkit-border-radius: 4px; + -moz-border-radius: 4px; + border-radius: 4px; + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffffffff', endColorstr='#fff2f2f2', GradientType=0); + *zoom: 1; + -webkit-box-shadow: 0 1px 4px rgba(0, 0, 0, 0.065); + -moz-box-shadow: 0 1px 4px rgba(0, 0, 0, 0.065); + box-shadow: 0 1px 4px rgba(0, 0, 0, 0.065); +} + +.navbar-inner:before, +.navbar-inner:after { + display: table; + line-height: 0; + content: ""; +} + +.navbar-inner:after { + clear: both; +} + +.navbar .container { + width: auto; +} + +.nav-collapse.collapse { + height: auto; + overflow: visible; +} + +.navbar .brand { + display: block; + float: left; + padding: 10px 20px 10px; + margin-left: -20px; + font-size: 20px; + font-weight: 200; + color: #777777; + text-shadow: 0 1px 0 #ffffff; +} + +.navbar .brand:hover, +.navbar .brand:focus { + text-decoration: none; +} + +.navbar-text { + margin-bottom: 0; + line-height: 40px; + color: #777777; +} + +.navbar-link { + color: #777777; +} + +.navbar-link:hover, +.navbar-link:focus { + color: #333333; +} + +.navbar .divider-vertical { + height: 40px; + margin: 0 9px; + border-right: 1px solid #ffffff; + border-left: 1px solid #f2f2f2; +} + +.navbar .btn, +.navbar .btn-group { + margin-top: 5px; +} + +.navbar .btn-group .btn, +.navbar .input-prepend .btn, +.navbar .input-append .btn, +.navbar .input-prepend .btn-group, +.navbar .input-append .btn-group { + margin-top: 0; +} + +.navbar-form { + margin-bottom: 0; + *zoom: 1; +} + +.navbar-form:before, +.navbar-form:after { + display: table; + line-height: 0; + content: ""; +} + +.navbar-form:after { + clear: both; +} + +.navbar-form input, +.navbar-form select, +.navbar-form .radio, +.navbar-form .checkbox { + margin-top: 5px; +} + +.navbar-form input, +.navbar-form select, +.navbar-form .btn { + display: inline-block; + margin-bottom: 0; +} + +.navbar-form input[type="image"], +.navbar-form input[type="checkbox"], +.navbar-form input[type="radio"] { + margin-top: 3px; +} + +.navbar-form .input-append, +.navbar-form .input-prepend { + margin-top: 5px; + white-space: nowrap; +} + +.navbar-form .input-append input, +.navbar-form .input-prepend input { + margin-top: 0; +} + +.navbar-search { + position: relative; + float: left; + margin-top: 5px; + margin-bottom: 0; +} + +.navbar-search .search-query { + padding: 4px 14px; + margin-bottom: 0; + font-family: "Helvetica Neue", Helvetica, Arial, sans-serif; + font-size: 13px; + font-weight: normal; + line-height: 1; + -webkit-border-radius: 15px; + -moz-border-radius: 15px; + border-radius: 15px; +} + +.navbar-static-top { + position: static; + margin-bottom: 0; +} + +.navbar-static-top .navbar-inner { + -webkit-border-radius: 0; + -moz-border-radius: 0; + border-radius: 0; +} + +.navbar-fixed-top, +.navbar-fixed-bottom { + position: fixed; + right: 0; + left: 0; + z-index: 1030; + margin-bottom: 0; +} + +.navbar-fixed-top .navbar-inner, +.navbar-static-top .navbar-inner { + border-width: 0 0 1px; +} + +.navbar-fixed-bottom .navbar-inner { + border-width: 1px 0 0; +} + +.navbar-fixed-top .navbar-inner, +.navbar-fixed-bottom .navbar-inner { + padding-right: 0; + padding-left: 0; + -webkit-border-radius: 0; + -moz-border-radius: 0; + border-radius: 0; +} + +.navbar-static-top .container, +.navbar-fixed-top .container, +.navbar-fixed-bottom .container { + width: 940px; +} + +.navbar-fixed-top { + top: 0; +} + +.navbar-fixed-top .navbar-inner, +.navbar-static-top .navbar-inner { + -webkit-box-shadow: 0 1px 10px rgba(0, 0, 0, 0.1); + -moz-box-shadow: 0 1px 10px rgba(0, 0, 0, 0.1); + box-shadow: 0 1px 10px rgba(0, 0, 0, 0.1); +} + +.navbar-fixed-bottom { + bottom: 0; +} + +.navbar-fixed-bottom .navbar-inner { + -webkit-box-shadow: 0 -1px 10px rgba(0, 0, 0, 0.1); + -moz-box-shadow: 0 -1px 10px rgba(0, 0, 0, 0.1); + box-shadow: 0 -1px 10px rgba(0, 0, 0, 0.1); +} + +.navbar .nav { + position: relative; + left: 0; + display: block; + float: left; + margin: 0 10px 0 0; +} + +.navbar .nav.pull-right { + float: right; + margin-right: 0; +} + +.navbar .nav > li { + float: left; +} + +.navbar .nav > li > a { + float: none; + padding: 10px 15px 10px; + color: #777777; + text-decoration: none; + text-shadow: 0 1px 0 #ffffff; +} + +.navbar .nav .dropdown-toggle .caret { + margin-top: 8px; +} + +.navbar .nav > li > a:focus, +.navbar .nav > li > a:hover { + color: #333333; + text-decoration: none; + background-color: transparent; +} + +.navbar .nav > .active > a, +.navbar .nav > .active > a:hover, +.navbar .nav > .active > a:focus { + color: #555555; + text-decoration: none; + background-color: #e5e5e5; + -webkit-box-shadow: inset 0 3px 8px rgba(0, 0, 0, 0.125); + -moz-box-shadow: inset 0 3px 8px rgba(0, 0, 0, 0.125); + box-shadow: inset 0 3px 8px rgba(0, 0, 0, 0.125); +} + +.navbar .btn-navbar { + display: none; + float: right; + padding: 7px 10px; + margin-right: 5px; + margin-left: 5px; + color: #ffffff; + text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25); + background-color: #ededed; + *background-color: #e5e5e5; + background-image: -moz-linear-gradient(top, #f2f2f2, #e5e5e5); + background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#f2f2f2), to(#e5e5e5)); + background-image: -webkit-linear-gradient(top, #f2f2f2, #e5e5e5); + background-image: -o-linear-gradient(top, #f2f2f2, #e5e5e5); + background-image: linear-gradient(to bottom, #f2f2f2, #e5e5e5); + background-repeat: repeat-x; + border-color: #e5e5e5 #e5e5e5 #bfbfbf; + border-color: rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff2f2f2', endColorstr='#ffe5e5e5', GradientType=0); + filter: progid:DXImageTransform.Microsoft.gradient(enabled=false); + -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.075); + -moz-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.075); + box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.075); +} + +.navbar .btn-navbar:hover, +.navbar .btn-navbar:focus, +.navbar .btn-navbar:active, +.navbar .btn-navbar.active, +.navbar .btn-navbar.disabled, +.navbar .btn-navbar[disabled] { + color: #ffffff; + background-color: #e5e5e5; + *background-color: #d9d9d9; +} + +.navbar .btn-navbar:active, +.navbar .btn-navbar.active { + background-color: #cccccc \9; +} + +.navbar .btn-navbar .icon-bar { + display: block; + width: 18px; + height: 2px; + background-color: #f5f5f5; + -webkit-border-radius: 1px; + -moz-border-radius: 1px; + border-radius: 1px; + -webkit-box-shadow: 0 1px 0 rgba(0, 0, 0, 0.25); + -moz-box-shadow: 0 1px 0 rgba(0, 0, 0, 0.25); + box-shadow: 0 1px 0 rgba(0, 0, 0, 0.25); +} + +.btn-navbar .icon-bar + .icon-bar { + margin-top: 3px; +} + +.navbar .nav > li > .dropdown-menu:before { + position: absolute; + top: -7px; + left: 9px; + display: inline-block; + border-right: 7px solid transparent; + border-bottom: 7px solid #ccc; + border-left: 7px solid transparent; + border-bottom-color: rgba(0, 0, 0, 0.2); + content: ''; +} + +.navbar .nav > li > .dropdown-menu:after { + position: absolute; + top: -6px; + left: 10px; + display: inline-block; + border-right: 6px solid transparent; + border-bottom: 6px solid #ffffff; + border-left: 6px solid transparent; + content: ''; +} + +.navbar-fixed-bottom .nav > li > .dropdown-menu:before { + top: auto; + bottom: -7px; + border-top: 7px solid #ccc; + border-bottom: 0; + border-top-color: rgba(0, 0, 0, 0.2); +} + +.navbar-fixed-bottom .nav > li > .dropdown-menu:after { + top: auto; + bottom: -6px; + border-top: 6px solid #ffffff; + border-bottom: 0; +} + +.navbar .nav li.dropdown > a:hover .caret, +.navbar .nav li.dropdown > a:focus .caret { + border-top-color: #333333; + border-bottom-color: #333333; +} + +.navbar .nav li.dropdown.open > .dropdown-toggle, +.navbar .nav li.dropdown.active > .dropdown-toggle, +.navbar .nav li.dropdown.open.active > .dropdown-toggle { + color: #555555; + background-color: #e5e5e5; +} + +.navbar .nav li.dropdown > .dropdown-toggle .caret { + border-top-color: #777777; + border-bottom-color: #777777; +} + +.navbar .nav li.dropdown.open > .dropdown-toggle .caret, +.navbar .nav li.dropdown.active > .dropdown-toggle .caret, +.navbar .nav li.dropdown.open.active > .dropdown-toggle .caret { + border-top-color: #555555; + border-bottom-color: #555555; +} + +.navbar .pull-right > li > .dropdown-menu, +.navbar .nav > li > .dropdown-menu.pull-right { + right: 0; + left: auto; +} + +.navbar .pull-right > li > .dropdown-menu:before, +.navbar .nav > li > .dropdown-menu.pull-right:before { + right: 12px; + left: auto; +} + +.navbar .pull-right > li > .dropdown-menu:after, +.navbar .nav > li > .dropdown-menu.pull-right:after { + right: 13px; + left: auto; +} + +.navbar .pull-right > li > .dropdown-menu .dropdown-menu, +.navbar .nav > li > .dropdown-menu.pull-right .dropdown-menu { + right: 100%; + left: auto; + margin-right: -1px; + margin-left: 0; + -webkit-border-radius: 6px 0 6px 6px; + -moz-border-radius: 6px 0 6px 6px; + border-radius: 6px 0 6px 6px; +} + +.navbar-inverse .navbar-inner { + background-color: #1b1b1b; + background-image: -moz-linear-gradient(top, #222222, #111111); + background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#222222), to(#111111)); + background-image: -webkit-linear-gradient(top, #222222, #111111); + background-image: -o-linear-gradient(top, #222222, #111111); + background-image: linear-gradient(to bottom, #222222, #111111); + background-repeat: repeat-x; + border-color: #252525; + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff222222', endColorstr='#ff111111', GradientType=0); +} + +.navbar-inverse .brand, +.navbar-inverse .nav > li > a { + color: #999999; + text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25); +} + +.navbar-inverse .brand:hover, +.navbar-inverse .nav > li > a:hover, +.navbar-inverse .brand:focus, +.navbar-inverse .nav > li > a:focus { + color: #ffffff; +} + +.navbar-inverse .brand { + color: #999999; +} + +.navbar-inverse .navbar-text { + color: #999999; +} + +.navbar-inverse .nav > li > a:focus, +.navbar-inverse .nav > li > a:hover { + color: #ffffff; + background-color: transparent; +} + +.navbar-inverse .nav .active > a, +.navbar-inverse .nav .active > a:hover, +.navbar-inverse .nav .active > a:focus { + color: #ffffff; + background-color: #111111; +} + +.navbar-inverse .navbar-link { + color: #999999; +} + +.navbar-inverse .navbar-link:hover, +.navbar-inverse .navbar-link:focus { + color: #ffffff; +} + +.navbar-inverse .divider-vertical { + border-right-color: #222222; + border-left-color: #111111; +} + +.navbar-inverse .nav li.dropdown.open > .dropdown-toggle, +.navbar-inverse .nav li.dropdown.active > .dropdown-toggle, +.navbar-inverse .nav li.dropdown.open.active > .dropdown-toggle { + color: #ffffff; + background-color: #111111; +} + +.navbar-inverse .nav li.dropdown > a:hover .caret, +.navbar-inverse .nav li.dropdown > a:focus .caret { + border-top-color: #ffffff; + border-bottom-color: #ffffff; +} + +.navbar-inverse .nav li.dropdown > .dropdown-toggle .caret { + border-top-color: #999999; + border-bottom-color: #999999; +} + +.navbar-inverse .nav li.dropdown.open > .dropdown-toggle .caret, +.navbar-inverse .nav li.dropdown.active > .dropdown-toggle .caret, +.navbar-inverse .nav li.dropdown.open.active > .dropdown-toggle .caret { + border-top-color: #ffffff; + border-bottom-color: #ffffff; +} + +.navbar-inverse .navbar-search .search-query { + color: #ffffff; + background-color: #515151; + border-color: #111111; + -webkit-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1), 0 1px 0 rgba(255, 255, 255, 0.15); + -moz-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1), 0 1px 0 rgba(255, 255, 255, 0.15); + box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1), 0 1px 0 rgba(255, 255, 255, 0.15); + -webkit-transition: none; + -moz-transition: none; + -o-transition: none; + transition: none; +} + +.navbar-inverse .navbar-search .search-query:-moz-placeholder { + color: #cccccc; +} + +.navbar-inverse .navbar-search .search-query:-ms-input-placeholder { + color: #cccccc; +} + +.navbar-inverse .navbar-search .search-query::-webkit-input-placeholder { + color: #cccccc; +} + +.navbar-inverse .navbar-search .search-query:focus, +.navbar-inverse .navbar-search .search-query.focused { + padding: 5px 15px; + color: #333333; + text-shadow: 0 1px 0 #ffffff; + background-color: #ffffff; + border: 0; + outline: 0; + -webkit-box-shadow: 0 0 3px rgba(0, 0, 0, 0.15); + -moz-box-shadow: 0 0 3px rgba(0, 0, 0, 0.15); + box-shadow: 0 0 3px rgba(0, 0, 0, 0.15); +} + +.navbar-inverse .btn-navbar { + color: #ffffff; + text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25); + background-color: #0e0e0e; + *background-color: #040404; + background-image: -moz-linear-gradient(top, #151515, #040404); + background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#151515), to(#040404)); + background-image: -webkit-linear-gradient(top, #151515, #040404); + background-image: -o-linear-gradient(top, #151515, #040404); + background-image: linear-gradient(to bottom, #151515, #040404); + background-repeat: repeat-x; + border-color: #040404 #040404 #000000; + border-color: rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff151515', endColorstr='#ff040404', GradientType=0); + filter: progid:DXImageTransform.Microsoft.gradient(enabled=false); +} + +.navbar-inverse .btn-navbar:hover, +.navbar-inverse .btn-navbar:focus, +.navbar-inverse .btn-navbar:active, +.navbar-inverse .btn-navbar.active, +.navbar-inverse .btn-navbar.disabled, +.navbar-inverse .btn-navbar[disabled] { + color: #ffffff; + background-color: #040404; + *background-color: #000000; +} + +.navbar-inverse .btn-navbar:active, +.navbar-inverse .btn-navbar.active { + background-color: #000000 \9; +} + +.breadcrumb { + padding: 8px 15px; + margin: 0 0 20px; + list-style: none; + background-color: #f5f5f5; + -webkit-border-radius: 4px; + -moz-border-radius: 4px; + border-radius: 4px; +} + +.breadcrumb > li { + display: inline-block; + *display: inline; + text-shadow: 0 1px 0 #ffffff; + *zoom: 1; +} + +.breadcrumb > li > .divider { + padding: 0 5px; + color: #ccc; +} + +.breadcrumb > .active { + color: #999999; +} + +.pagination { + margin: 20px 0; +} + +.pagination ul { + display: inline-block; + *display: inline; + margin-bottom: 0; + margin-left: 0; + -webkit-border-radius: 4px; + -moz-border-radius: 4px; + border-radius: 4px; + *zoom: 1; + -webkit-box-shadow: 0 1px 2px rgba(0, 0, 0, 0.05); + -moz-box-shadow: 0 1px 2px rgba(0, 0, 0, 0.05); + box-shadow: 0 1px 2px rgba(0, 0, 0, 0.05); +} + +.pagination ul > li { + display: inline; +} + +.pagination ul > li > a, +.pagination ul > li > span { + float: left; + padding: 4px 12px; + line-height: 20px; + text-decoration: none; + background-color: #ffffff; + border: 1px solid #dddddd; + border-left-width: 0; +} + +.pagination ul > li > a:hover, +.pagination ul > li > a:focus, +.pagination ul > .active > a, +.pagination ul > .active > span { + background-color: #f5f5f5; +} + +.pagination ul > .active > a, +.pagination ul > .active > span { + color: #999999; + cursor: default; +} + +.pagination ul > .disabled > span, +.pagination ul > .disabled > a, +.pagination ul > .disabled > a:hover, +.pagination ul > .disabled > a:focus { + color: #999999; + cursor: default; + background-color: transparent; +} + +.pagination ul > li:first-child > a, +.pagination ul > li:first-child > span { + border-left-width: 1px; + -webkit-border-bottom-left-radius: 4px; + border-bottom-left-radius: 4px; + -webkit-border-top-left-radius: 4px; + border-top-left-radius: 4px; + -moz-border-radius-bottomleft: 4px; + -moz-border-radius-topleft: 4px; +} + +.pagination ul > li:last-child > a, +.pagination ul > li:last-child > span { + -webkit-border-top-right-radius: 4px; + border-top-right-radius: 4px; + -webkit-border-bottom-right-radius: 4px; + border-bottom-right-radius: 4px; + -moz-border-radius-topright: 4px; + -moz-border-radius-bottomright: 4px; +} + +.pagination-centered { + text-align: center; +} + +.pagination-right { + text-align: right; +} + +.pagination-large ul > li > a, +.pagination-large ul > li > span { + padding: 11px 19px; + font-size: 17.5px; +} + +.pagination-large ul > li:first-child > a, +.pagination-large ul > li:first-child > span { + -webkit-border-bottom-left-radius: 6px; + border-bottom-left-radius: 6px; + -webkit-border-top-left-radius: 6px; + border-top-left-radius: 6px; + -moz-border-radius-bottomleft: 6px; + -moz-border-radius-topleft: 6px; +} + +.pagination-large ul > li:last-child > a, +.pagination-large ul > li:last-child > span { + -webkit-border-top-right-radius: 6px; + border-top-right-radius: 6px; + -webkit-border-bottom-right-radius: 6px; + border-bottom-right-radius: 6px; + -moz-border-radius-topright: 6px; + -moz-border-radius-bottomright: 6px; +} + +.pagination-mini ul > li:first-child > a, +.pagination-small ul > li:first-child > a, +.pagination-mini ul > li:first-child > span, +.pagination-small ul > li:first-child > span { + -webkit-border-bottom-left-radius: 3px; + border-bottom-left-radius: 3px; + -webkit-border-top-left-radius: 3px; + border-top-left-radius: 3px; + -moz-border-radius-bottomleft: 3px; + -moz-border-radius-topleft: 3px; +} + +.pagination-mini ul > li:last-child > a, +.pagination-small ul > li:last-child > a, +.pagination-mini ul > li:last-child > span, +.pagination-small ul > li:last-child > span { + -webkit-border-top-right-radius: 3px; + border-top-right-radius: 3px; + -webkit-border-bottom-right-radius: 3px; + border-bottom-right-radius: 3px; + -moz-border-radius-topright: 3px; + -moz-border-radius-bottomright: 3px; +} + +.pagination-small ul > li > a, +.pagination-small ul > li > span { + padding: 2px 10px; + font-size: 11.9px; +} + +.pagination-mini ul > li > a, +.pagination-mini ul > li > span { + padding: 0 6px; + font-size: 10.5px; +} + +.pager { + margin: 20px 0; + text-align: center; + list-style: none; + *zoom: 1; +} + +.pager:before, +.pager:after { + display: table; + line-height: 0; + content: ""; +} + +.pager:after { + clear: both; +} + +.pager li { + display: inline; +} + +.pager li > a, +.pager li > span { + display: inline-block; + padding: 5px 14px; + background-color: #fff; + border: 1px solid #ddd; + -webkit-border-radius: 15px; + -moz-border-radius: 15px; + border-radius: 15px; +} + +.pager li > a:hover, +.pager li > a:focus { + text-decoration: none; + background-color: #f5f5f5; +} + +.pager .next > a, +.pager .next > span { + float: right; +} + +.pager .previous > a, +.pager .previous > span { + float: left; +} + +.pager .disabled > a, +.pager .disabled > a:hover, +.pager .disabled > a:focus, +.pager .disabled > span { + color: #999999; + cursor: default; + background-color: #fff; +} + +.modal-backdrop { + position: fixed; + top: 0; + right: 0; + bottom: 0; + left: 0; + z-index: 1040; + background-color: #000000; +} + +.modal-backdrop.fade { + opacity: 0; +} + +.modal-backdrop, +.modal-backdrop.fade.in { + opacity: 0.8; + filter: alpha(opacity=80); +} + +.modal { + position: fixed; + top: 10%; + left: 50%; + z-index: 1050; + width: 560px; + margin-left: -280px; + background-color: #ffffff; + border: 1px solid #999; + border: 1px solid rgba(0, 0, 0, 0.3); + *border: 1px solid #999; + -webkit-border-radius: 6px; + -moz-border-radius: 6px; + border-radius: 6px; + outline: none; + -webkit-box-shadow: 0 3px 7px rgba(0, 0, 0, 0.3); + -moz-box-shadow: 0 3px 7px rgba(0, 0, 0, 0.3); + box-shadow: 0 3px 7px rgba(0, 0, 0, 0.3); + -webkit-background-clip: padding-box; + -moz-background-clip: padding-box; + background-clip: padding-box; +} + +.modal.fade { + top: -25%; + -webkit-transition: opacity 0.3s linear, top 0.3s ease-out; + -moz-transition: opacity 0.3s linear, top 0.3s ease-out; + -o-transition: opacity 0.3s linear, top 0.3s ease-out; + transition: opacity 0.3s linear, top 0.3s ease-out; +} + +.modal.fade.in { + top: 10%; +} + +.modal-header { + padding: 9px 15px; + border-bottom: 1px solid #eee; +} + +.modal-header .close { + margin-top: 2px; +} + +.modal-header h3 { + margin: 0; + line-height: 30px; +} + +.modal-body { + position: relative; + max-height: 400px; + padding: 15px; + overflow-y: auto; +} + +.modal-form { + margin-bottom: 0; +} + +.modal-footer { + padding: 14px 15px 15px; + margin-bottom: 0; + text-align: right; + background-color: #f5f5f5; + border-top: 1px solid #ddd; + -webkit-border-radius: 0 0 6px 6px; + -moz-border-radius: 0 0 6px 6px; + border-radius: 0 0 6px 6px; + *zoom: 1; + -webkit-box-shadow: inset 0 1px 0 #ffffff; + -moz-box-shadow: inset 0 1px 0 #ffffff; + box-shadow: inset 0 1px 0 #ffffff; +} + +.modal-footer:before, +.modal-footer:after { + display: table; + line-height: 0; + content: ""; +} + +.modal-footer:after { + clear: both; +} + +.modal-footer .btn + .btn { + margin-bottom: 0; + margin-left: 5px; +} + +.modal-footer .btn-group .btn + .btn { + margin-left: -1px; +} + +.modal-footer .btn-block + .btn-block { + margin-left: 0; +} + +.tooltip { + position: absolute; + z-index: 1030; + display: block; + font-size: 11px; + line-height: 1.4; + opacity: 0; + filter: alpha(opacity=0); + visibility: visible; +} + +.tooltip.in { + opacity: 0.8; + filter: alpha(opacity=80); +} + +.tooltip.top { + padding: 5px 0; + margin-top: -3px; +} + +.tooltip.right { + padding: 0 5px; + margin-left: 3px; +} + +.tooltip.bottom { + padding: 5px 0; + margin-top: 3px; +} + +.tooltip.left { + padding: 0 5px; + margin-left: -3px; +} + +.tooltip-inner { + max-width: 200px; + padding: 8px; + color: #ffffff; + text-align: center; + text-decoration: none; + background-color: #000000; + -webkit-border-radius: 4px; + -moz-border-radius: 4px; + border-radius: 4px; +} + +.tooltip-arrow { + position: absolute; + width: 0; + height: 0; + border-color: transparent; + border-style: solid; +} + +.tooltip.top .tooltip-arrow { + bottom: 0; + left: 50%; + margin-left: -5px; + border-top-color: #000000; + border-width: 5px 5px 0; +} + +.tooltip.right .tooltip-arrow { + top: 50%; + left: 0; + margin-top: -5px; + border-right-color: #000000; + border-width: 5px 5px 5px 0; +} + +.tooltip.left .tooltip-arrow { + top: 50%; + right: 0; + margin-top: -5px; + border-left-color: #000000; + border-width: 5px 0 5px 5px; +} + +.tooltip.bottom .tooltip-arrow { + top: 0; + left: 50%; + margin-left: -5px; + border-bottom-color: #000000; + border-width: 0 5px 5px; +} + +.popover { + position: absolute; + top: 0; + left: 0; + z-index: 1010; + display: none; + max-width: 276px; + padding: 1px; + text-align: left; + white-space: normal; + background-color: #ffffff; + border: 1px solid #ccc; + border: 1px solid rgba(0, 0, 0, 0.2); + -webkit-border-radius: 6px; + -moz-border-radius: 6px; + border-radius: 6px; + -webkit-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2); + -moz-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2); + box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2); + -webkit-background-clip: padding-box; + -moz-background-clip: padding; + background-clip: padding-box; +} + +.popover.top { + margin-top: -10px; +} + +.popover.right { + margin-left: 10px; +} + +.popover.bottom { + margin-top: 10px; +} + +.popover.left { + margin-left: -10px; +} + +.popover-title { + padding: 8px 14px; + margin: 0; + font-size: 14px; + font-weight: normal; + line-height: 18px; + background-color: #f7f7f7; + border-bottom: 1px solid #ebebeb; + -webkit-border-radius: 5px 5px 0 0; + -moz-border-radius: 5px 5px 0 0; + border-radius: 5px 5px 0 0; +} + +.popover-title:empty { + display: none; +} + +.popover-content { + padding: 9px 14px; +} + +.popover .arrow, +.popover .arrow:after { + position: absolute; + display: block; + width: 0; + height: 0; + border-color: transparent; + border-style: solid; +} + +.popover .arrow { + border-width: 11px; +} + +.popover .arrow:after { + border-width: 10px; + content: ""; +} + +.popover.top .arrow { + bottom: -11px; + left: 50%; + margin-left: -11px; + border-top-color: #999; + border-top-color: rgba(0, 0, 0, 0.25); + border-bottom-width: 0; +} + +.popover.top .arrow:after { + bottom: 1px; + margin-left: -10px; + border-top-color: #ffffff; + border-bottom-width: 0; +} + +.popover.right .arrow { + top: 50%; + left: -11px; + margin-top: -11px; + border-right-color: #999; + border-right-color: rgba(0, 0, 0, 0.25); + border-left-width: 0; +} + +.popover.right .arrow:after { + bottom: -10px; + left: 1px; + border-right-color: #ffffff; + border-left-width: 0; +} + +.popover.bottom .arrow { + top: -11px; + left: 50%; + margin-left: -11px; + border-bottom-color: #999; + border-bottom-color: rgba(0, 0, 0, 0.25); + border-top-width: 0; +} + +.popover.bottom .arrow:after { + top: 1px; + margin-left: -10px; + border-bottom-color: #ffffff; + border-top-width: 0; +} + +.popover.left .arrow { + top: 50%; + right: -11px; + margin-top: -11px; + border-left-color: #999; + border-left-color: rgba(0, 0, 0, 0.25); + border-right-width: 0; +} + +.popover.left .arrow:after { + right: 1px; + bottom: -10px; + border-left-color: #ffffff; + border-right-width: 0; +} + +.thumbnails { + margin-left: -20px; + list-style: none; + *zoom: 1; +} + +.thumbnails:before, +.thumbnails:after { + display: table; + line-height: 0; + content: ""; +} + +.thumbnails:after { + clear: both; +} + +.row-fluid .thumbnails { + margin-left: 0; +} + +.thumbnails > li { + float: left; + margin-bottom: 20px; + margin-left: 20px; +} + +.thumbnail { + display: block; + padding: 4px; + line-height: 20px; + border: 1px solid #ddd; + -webkit-border-radius: 4px; + -moz-border-radius: 4px; + border-radius: 4px; + -webkit-box-shadow: 0 1px 3px rgba(0, 0, 0, 0.055); + -moz-box-shadow: 0 1px 3px rgba(0, 0, 0, 0.055); + box-shadow: 0 1px 3px rgba(0, 0, 0, 0.055); + -webkit-transition: all 0.2s ease-in-out; + -moz-transition: all 0.2s ease-in-out; + -o-transition: all 0.2s ease-in-out; + transition: all 0.2s ease-in-out; +} + +a.thumbnail:hover, +a.thumbnail:focus { + border-color: #0088cc; + -webkit-box-shadow: 0 1px 4px rgba(0, 105, 214, 0.25); + -moz-box-shadow: 0 1px 4px rgba(0, 105, 214, 0.25); + box-shadow: 0 1px 4px rgba(0, 105, 214, 0.25); +} + +.thumbnail > img { + display: block; + max-width: 100%; + margin-right: auto; + margin-left: auto; +} + +.thumbnail .caption { + padding: 9px; + color: #555555; +} + +.media, +.media-body { + overflow: hidden; + *overflow: visible; + zoom: 1; +} + +.media, +.media .media { + margin-top: 15px; +} + +.media:first-child { + margin-top: 0; +} + +.media-object { + display: block; +} + +.media-heading { + margin: 0 0 5px; +} + +.media > .pull-left { + margin-right: 10px; +} + +.media > .pull-right { + margin-left: 10px; +} + +.media-list { + margin-left: 0; + list-style: none; +} + +.label, +.badge { + display: inline-block; + padding: 2px 4px; + font-size: 11.844px; + font-weight: bold; + line-height: 14px; + color: #ffffff; + text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25); + white-space: nowrap; + vertical-align: baseline; + background-color: #999999; +} + +.label { + -webkit-border-radius: 3px; + -moz-border-radius: 3px; + border-radius: 3px; +} + +.badge { + padding-right: 9px; + padding-left: 9px; + -webkit-border-radius: 9px; + -moz-border-radius: 9px; + border-radius: 9px; +} + +.label:empty, +.badge:empty { + display: none; +} + +a.label:hover, +a.label:focus, +a.badge:hover, +a.badge:focus { + color: #ffffff; + text-decoration: none; + cursor: pointer; +} + +.label-important, +.badge-important { + background-color: #b94a48; +} + +.label-important[href], +.badge-important[href] { + background-color: #953b39; +} + +.label-warning, +.badge-warning { + background-color: #f89406; +} + +.label-warning[href], +.badge-warning[href] { + background-color: #c67605; +} + +.label-success, +.badge-success { + background-color: #468847; +} + +.label-success[href], +.badge-success[href] { + background-color: #356635; +} + +.label-info, +.badge-info { + background-color: #3a87ad; +} + +.label-info[href], +.badge-info[href] { + background-color: #2d6987; +} + +.label-inverse, +.badge-inverse { + background-color: #333333; +} + +.label-inverse[href], +.badge-inverse[href] { + background-color: #1a1a1a; +} + +.btn .label, +.btn .badge { + position: relative; + top: -1px; +} + +.btn-mini .label, +.btn-mini .badge { + top: 0; +} + +@-webkit-keyframes progress-bar-stripes { + from { + background-position: 40px 0; + } + to { + background-position: 0 0; + } +} + +@-moz-keyframes progress-bar-stripes { + from { + background-position: 40px 0; + } + to { + background-position: 0 0; + } +} + +@-ms-keyframes progress-bar-stripes { + from { + background-position: 40px 0; + } + to { + background-position: 0 0; + } +} + +@-o-keyframes progress-bar-stripes { + from { + background-position: 0 0; + } + to { + background-position: 40px 0; + } +} + +@keyframes progress-bar-stripes { + from { + background-position: 40px 0; + } + to { + background-position: 0 0; + } +} + +.progress { + height: 20px; + margin-bottom: 20px; + overflow: hidden; + background-color: #f7f7f7; + background-image: -moz-linear-gradient(top, #f5f5f5, #f9f9f9); + background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#f5f5f5), to(#f9f9f9)); + background-image: -webkit-linear-gradient(top, #f5f5f5, #f9f9f9); + background-image: -o-linear-gradient(top, #f5f5f5, #f9f9f9); + background-image: linear-gradient(to bottom, #f5f5f5, #f9f9f9); + background-repeat: repeat-x; + -webkit-border-radius: 4px; + -moz-border-radius: 4px; + border-radius: 4px; + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff5f5f5', endColorstr='#fff9f9f9', GradientType=0); + -webkit-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1); + -moz-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1); + box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1); +} + +.progress .bar { + float: left; + width: 0; + height: 100%; + font-size: 12px; + color: #ffffff; + text-align: center; + text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25); + background-color: #0e90d2; + background-image: -moz-linear-gradient(top, #149bdf, #0480be); + background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#149bdf), to(#0480be)); + background-image: -webkit-linear-gradient(top, #149bdf, #0480be); + background-image: -o-linear-gradient(top, #149bdf, #0480be); + background-image: linear-gradient(to bottom, #149bdf, #0480be); + background-repeat: repeat-x; + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff149bdf', endColorstr='#ff0480be', GradientType=0); + -webkit-box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15); + -moz-box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15); + box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15); + -webkit-box-sizing: border-box; + -moz-box-sizing: border-box; + box-sizing: border-box; + -webkit-transition: width 0.6s ease; + -moz-transition: width 0.6s ease; + -o-transition: width 0.6s ease; + transition: width 0.6s ease; +} + +.progress .bar + .bar { + -webkit-box-shadow: inset 1px 0 0 rgba(0, 0, 0, 0.15), inset 0 -1px 0 rgba(0, 0, 0, 0.15); + -moz-box-shadow: inset 1px 0 0 rgba(0, 0, 0, 0.15), inset 0 -1px 0 rgba(0, 0, 0, 0.15); + box-shadow: inset 1px 0 0 rgba(0, 0, 0, 0.15), inset 0 -1px 0 rgba(0, 0, 0, 0.15); +} + +.progress-striped .bar { + background-color: #149bdf; + background-image: -webkit-gradient(linear, 0 100%, 100% 0, color-stop(0.25, rgba(255, 255, 255, 0.15)), color-stop(0.25, transparent), color-stop(0.5, transparent), color-stop(0.5, rgba(255, 255, 255, 0.15)), color-stop(0.75, rgba(255, 255, 255, 0.15)), color-stop(0.75, transparent), to(transparent)); + background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); + background-image: -moz-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); + background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); + background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); + -webkit-background-size: 40px 40px; + -moz-background-size: 40px 40px; + -o-background-size: 40px 40px; + background-size: 40px 40px; +} + +.progress.active .bar { + -webkit-animation: progress-bar-stripes 2s linear infinite; + -moz-animation: progress-bar-stripes 2s linear infinite; + -ms-animation: progress-bar-stripes 2s linear infinite; + -o-animation: progress-bar-stripes 2s linear infinite; + animation: progress-bar-stripes 2s linear infinite; +} + +.progress-danger .bar, +.progress .bar-danger { + background-color: #dd514c; + background-image: -moz-linear-gradient(top, #ee5f5b, #c43c35); + background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#ee5f5b), to(#c43c35)); + background-image: -webkit-linear-gradient(top, #ee5f5b, #c43c35); + background-image: -o-linear-gradient(top, #ee5f5b, #c43c35); + background-image: linear-gradient(to bottom, #ee5f5b, #c43c35); + background-repeat: repeat-x; + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffee5f5b', endColorstr='#ffc43c35', GradientType=0); +} + +.progress-danger.progress-striped .bar, +.progress-striped .bar-danger { + background-color: #ee5f5b; + background-image: -webkit-gradient(linear, 0 100%, 100% 0, color-stop(0.25, rgba(255, 255, 255, 0.15)), color-stop(0.25, transparent), color-stop(0.5, transparent), color-stop(0.5, rgba(255, 255, 255, 0.15)), color-stop(0.75, rgba(255, 255, 255, 0.15)), color-stop(0.75, transparent), to(transparent)); + background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); + background-image: -moz-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); + background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); + background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); +} + +.progress-success .bar, +.progress .bar-success { + background-color: #5eb95e; + background-image: -moz-linear-gradient(top, #62c462, #57a957); + background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#62c462), to(#57a957)); + background-image: -webkit-linear-gradient(top, #62c462, #57a957); + background-image: -o-linear-gradient(top, #62c462, #57a957); + background-image: linear-gradient(to bottom, #62c462, #57a957); + background-repeat: repeat-x; + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff62c462', endColorstr='#ff57a957', GradientType=0); +} + +.progress-success.progress-striped .bar, +.progress-striped .bar-success { + background-color: #62c462; + background-image: -webkit-gradient(linear, 0 100%, 100% 0, color-stop(0.25, rgba(255, 255, 255, 0.15)), color-stop(0.25, transparent), color-stop(0.5, transparent), color-stop(0.5, rgba(255, 255, 255, 0.15)), color-stop(0.75, rgba(255, 255, 255, 0.15)), color-stop(0.75, transparent), to(transparent)); + background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); + background-image: -moz-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); + background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); + background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); +} + +.progress-info .bar, +.progress .bar-info { + background-color: #4bb1cf; + background-image: -moz-linear-gradient(top, #5bc0de, #339bb9); + background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#5bc0de), to(#339bb9)); + background-image: -webkit-linear-gradient(top, #5bc0de, #339bb9); + background-image: -o-linear-gradient(top, #5bc0de, #339bb9); + background-image: linear-gradient(to bottom, #5bc0de, #339bb9); + background-repeat: repeat-x; + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5bc0de', endColorstr='#ff339bb9', GradientType=0); +} + +.progress-info.progress-striped .bar, +.progress-striped .bar-info { + background-color: #5bc0de; + background-image: -webkit-gradient(linear, 0 100%, 100% 0, color-stop(0.25, rgba(255, 255, 255, 0.15)), color-stop(0.25, transparent), color-stop(0.5, transparent), color-stop(0.5, rgba(255, 255, 255, 0.15)), color-stop(0.75, rgba(255, 255, 255, 0.15)), color-stop(0.75, transparent), to(transparent)); + background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); + background-image: -moz-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); + background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); + background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); +} + +.progress-warning .bar, +.progress .bar-warning { + background-color: #faa732; + background-image: -moz-linear-gradient(top, #fbb450, #f89406); + background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#fbb450), to(#f89406)); + background-image: -webkit-linear-gradient(top, #fbb450, #f89406); + background-image: -o-linear-gradient(top, #fbb450, #f89406); + background-image: linear-gradient(to bottom, #fbb450, #f89406); + background-repeat: repeat-x; + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fffbb450', endColorstr='#fff89406', GradientType=0); +} + +.progress-warning.progress-striped .bar, +.progress-striped .bar-warning { + background-color: #fbb450; + background-image: -webkit-gradient(linear, 0 100%, 100% 0, color-stop(0.25, rgba(255, 255, 255, 0.15)), color-stop(0.25, transparent), color-stop(0.5, transparent), color-stop(0.5, rgba(255, 255, 255, 0.15)), color-stop(0.75, rgba(255, 255, 255, 0.15)), color-stop(0.75, transparent), to(transparent)); + background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); + background-image: -moz-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); + background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); + background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); +} + +.accordion { + margin-bottom: 20px; +} + +.accordion-group { + margin-bottom: 2px; + border: 1px solid #e5e5e5; + -webkit-border-radius: 4px; + -moz-border-radius: 4px; + border-radius: 4px; +} + +.accordion-heading { + border-bottom: 0; +} + +.accordion-heading .accordion-toggle { + display: block; + padding: 8px 15px; +} + +.accordion-toggle { + cursor: pointer; +} + +.accordion-inner { + padding: 9px 15px; + border-top: 1px solid #e5e5e5; +} + +.carousel { + position: relative; + margin-bottom: 20px; + line-height: 1; +} + +.carousel-inner { + position: relative; + width: 100%; + overflow: hidden; +} + +.carousel-inner > .item { + position: relative; + display: none; + -webkit-transition: 0.6s ease-in-out left; + -moz-transition: 0.6s ease-in-out left; + -o-transition: 0.6s ease-in-out left; + transition: 0.6s ease-in-out left; +} + +.carousel-inner > .item > img, +.carousel-inner > .item > a > img { + display: block; + line-height: 1; +} + +.carousel-inner > .active, +.carousel-inner > .next, +.carousel-inner > .prev { + display: block; +} + +.carousel-inner > .active { + left: 0; +} + +.carousel-inner > .next, +.carousel-inner > .prev { + position: absolute; + top: 0; + width: 100%; +} + +.carousel-inner > .next { + left: 100%; +} + +.carousel-inner > .prev { + left: -100%; +} + +.carousel-inner > .next.left, +.carousel-inner > .prev.right { + left: 0; +} + +.carousel-inner > .active.left { + left: -100%; +} + +.carousel-inner > .active.right { + left: 100%; +} + +.carousel-control { + position: absolute; + top: 40%; + left: 15px; + width: 40px; + height: 40px; + margin-top: -20px; + font-size: 60px; + font-weight: 100; + line-height: 30px; + color: #ffffff; + text-align: center; + background: #222222; + border: 3px solid #ffffff; + -webkit-border-radius: 23px; + -moz-border-radius: 23px; + border-radius: 23px; + opacity: 0.5; + filter: alpha(opacity=50); +} + +.carousel-control.right { + right: 15px; + left: auto; +} + +.carousel-control:hover, +.carousel-control:focus { + color: #ffffff; + text-decoration: none; + opacity: 0.9; + filter: alpha(opacity=90); +} + +.carousel-indicators { + position: absolute; + top: 15px; + right: 15px; + z-index: 5; + margin: 0; + list-style: none; +} + +.carousel-indicators li { + display: block; + float: left; + width: 10px; + height: 10px; + margin-left: 5px; + text-indent: -999px; + background-color: #ccc; + background-color: rgba(255, 255, 255, 0.25); + border-radius: 5px; +} + +.carousel-indicators .active { + background-color: #fff; +} + +.carousel-caption { + position: absolute; + right: 0; + bottom: 0; + left: 0; + padding: 15px; + background: #333333; + background: rgba(0, 0, 0, 0.75); +} + +.carousel-caption h4, +.carousel-caption p { + line-height: 20px; + color: #ffffff; +} + +.carousel-caption h4 { + margin: 0 0 5px; +} + +.carousel-caption p { + margin-bottom: 0; +} + +.hero-unit { + padding: 60px; + margin-bottom: 30px; + font-size: 18px; + font-weight: 200; + line-height: 30px; + color: inherit; + background-color: #eeeeee; + -webkit-border-radius: 6px; + -moz-border-radius: 6px; + border-radius: 6px; +} + +.hero-unit h1 { + margin-bottom: 0; + font-size: 60px; + line-height: 1; + letter-spacing: -1px; + color: inherit; +} + +.hero-unit li { + line-height: 30px; +} + +.pull-right { + float: right; +} + +.pull-left { + float: left; +} + +.hide { + display: none; +} + +.show { + display: block; +} + +.invisible { + visibility: hidden; +} + +.affix { + position: fixed; +} diff --git a/docs/build/html/_static/bootstrap-2.3.2/css/bootstrap.min.css b/docs/build/html/_static/bootstrap-2.3.2/css/bootstrap.min.css new file mode 100644 index 00000000..b6428e69 --- /dev/null +++ b/docs/build/html/_static/bootstrap-2.3.2/css/bootstrap.min.css @@ -0,0 +1,9 @@ +/*! + * Bootstrap v2.3.2 + * + * Copyright 2012 Twitter, Inc + * Licensed under the Apache License v2.0 + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Designed and built with all the love in the world @twitter by @mdo and @fat. + */.clearfix{*zoom:1}.clearfix:before,.clearfix:after{display:table;line-height:0;content:""}.clearfix:after{clear:both}.hide-text{font:0/0 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25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent)}.accordion{margin-bottom:20px}.accordion-group{margin-bottom:2px;border:1px solid #e5e5e5;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px}.accordion-heading{border-bottom:0}.accordion-heading .accordion-toggle{display:block;padding:8px 15px}.accordion-toggle{cursor:pointer}.accordion-inner{padding:9px 15px;border-top:1px solid #e5e5e5}.carousel{position:relative;margin-bottom:20px;line-height:1}.carousel-inner{position:relative;width:100%;overflow:hidden}.carousel-inner>.item{position:relative;display:none;-webkit-transition:.6s ease-in-out left;-moz-transition:.6s ease-in-out left;-o-transition:.6s ease-in-out left;transition:.6s ease-in-out left}.carousel-inner>.item>img,.carousel-inner>.item>a>img{display:block;line-height:1}.carousel-inner>.active,.carousel-inner>.next,.carousel-inner>.prev{display:block}.carousel-inner>.active{left:0}.carousel-inner>.next,.carousel-inner>.prev{position:absolute;top:0;width:100%}.carousel-inner>.next{left:100%}.carousel-inner>.prev{left:-100%}.carousel-inner>.next.left,.carousel-inner>.prev.right{left:0}.carousel-inner>.active.left{left:-100%}.carousel-inner>.active.right{left:100%}.carousel-control{position:absolute;top:40%;left:15px;width:40px;height:40px;margin-top:-20px;font-size:60px;font-weight:100;line-height:30px;color:#fff;text-align:center;background:#222;border:3px solid #fff;-webkit-border-radius:23px;-moz-border-radius:23px;border-radius:23px;opacity:.5;filter:alpha(opacity=50)}.carousel-control.right{right:15px;left:auto}.carousel-control:hover,.carousel-control:focus{color:#fff;text-decoration:none;opacity:.9;filter:alpha(opacity=90)}.carousel-indicators{position:absolute;top:15px;right:15px;z-index:5;margin:0;list-style:none}.carousel-indicators li{display:block;float:left;width:10px;height:10px;margin-left:5px;text-indent:-999px;background-color:#ccc;background-color:rgba(255,255,255,0.25);border-radius:5px}.carousel-indicators .active{background-color:#fff}.carousel-caption{position:absolute;right:0;bottom:0;left:0;padding:15px;background:#333;background:rgba(0,0,0,0.75)}.carousel-caption h4,.carousel-caption p{line-height:20px;color:#fff}.carousel-caption h4{margin:0 0 5px}.carousel-caption p{margin-bottom:0}.hero-unit{padding:60px;margin-bottom:30px;font-size:18px;font-weight:200;line-height:30px;color:inherit;background-color:#eee;-webkit-border-radius:6px;-moz-border-radius:6px;border-radius:6px}.hero-unit h1{margin-bottom:0;font-size:60px;line-height:1;letter-spacing:-1px;color:inherit}.hero-unit li{line-height:30px}.pull-right{float:right}.pull-left{float:left}.hide{display:none}.show{display:block}.invisible{visibility:hidden}.affix{position:fixed} diff --git a/docs/build/html/_static/bootstrap-2.3.2/js/bootstrap.js b/docs/build/html/_static/bootstrap-2.3.2/js/bootstrap.js new file mode 100644 index 00000000..638bb187 --- /dev/null +++ b/docs/build/html/_static/bootstrap-2.3.2/js/bootstrap.js @@ -0,0 +1,2287 @@ +/* =================================================== + * bootstrap-transition.js v2.3.2 + * http://twitter.github.com/bootstrap/javascript.html#transitions + * =================================================== + * Copyright 2012 Twitter, Inc. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + * ========================================================== */ + + +!function ($) { + + "use strict"; // jshint ;_; + + + /* CSS TRANSITION SUPPORT (http://www.modernizr.com/) + * ======================================================= */ + + $(function () { + + $.support.transition = (function () { + + var transitionEnd = (function () { + + var el = document.createElement('bootstrap') + , transEndEventNames = { + 'WebkitTransition' : 'webkitTransitionEnd' + , 'MozTransition' : 'transitionend' + , 'OTransition' : 'oTransitionEnd otransitionend' + , 'transition' : 'transitionend' + } + , name + + for (name in transEndEventNames){ + if (el.style[name] !== undefined) { + return transEndEventNames[name] + } + } + + }()) + + return transitionEnd && { + end: transitionEnd + } + + })() + + }) + +}(window.$jqTheme || window.jQuery); +/* ========================================================== + * bootstrap-alert.js v2.3.2 + * http://twitter.github.com/bootstrap/javascript.html#alerts + * ========================================================== + * Copyright 2012 Twitter, Inc. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + * ========================================================== */ + + +!function ($) { + + "use strict"; // jshint ;_; + + + /* ALERT CLASS DEFINITION + * ====================== */ + + var dismiss = '[data-dismiss="alert"]' + , Alert = function (el) { + $(el).on('click', dismiss, this.close) + } + + Alert.prototype.close = function (e) { + var $this = $(this) + , selector = $this.attr('data-target') + , $parent + + if (!selector) { + selector = $this.attr('href') + selector = selector && selector.replace(/.*(?=#[^\s]*$)/, '') //strip for ie7 + } + + $parent = $(selector) + + e && e.preventDefault() + + $parent.length || ($parent = $this.hasClass('alert') ? $this : $this.parent()) + + $parent.trigger(e = $.Event('close')) + + if (e.isDefaultPrevented()) return + + $parent.removeClass('in') + + function removeElement() { + $parent + .trigger('closed') + .remove() + } + + $.support.transition && $parent.hasClass('fade') ? + $parent.on($.support.transition.end, removeElement) : + removeElement() + } + + + /* ALERT PLUGIN DEFINITION + * ======================= */ + + var old = $.fn.alert + + $.fn.alert = function (option) { + return this.each(function () { + var $this = $(this) + , data = $this.data('alert') + if (!data) $this.data('alert', (data = new Alert(this))) + if (typeof option == 'string') data[option].call($this) + }) + } + + $.fn.alert.Constructor = Alert + + + /* ALERT NO CONFLICT + * ================= */ + + $.fn.alert.noConflict = function () { + $.fn.alert = old + return this + } + + + /* ALERT DATA-API + * ============== */ + + $(document).on('click.alert.data-api', dismiss, Alert.prototype.close) + +}(window.$jqTheme || window.jQuery); +/* ============================================================ + * bootstrap-button.js v2.3.2 + * http://twitter.github.com/bootstrap/javascript.html#buttons + * ============================================================ + * Copyright 2012 Twitter, Inc. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + * ============================================================ */ + + +!function ($) { + + "use strict"; // jshint ;_; + + + /* BUTTON PUBLIC CLASS DEFINITION + * ============================== */ + + var Button = function (element, options) { + this.$element = $(element) + this.options = $.extend({}, $.fn.button.defaults, options) + } + + Button.prototype.setState = function (state) { + var d = 'disabled' + , $el = this.$element + , data = $el.data() + , val = $el.is('input') ? 'val' : 'html' + + state = state + 'Text' + data.resetText || $el.data('resetText', $el[val]()) + + $el[val](data[state] || this.options[state]) + + // push to event loop to allow forms to submit + setTimeout(function () { + state == 'loadingText' ? + $el.addClass(d).attr(d, d) : + $el.removeClass(d).removeAttr(d) + }, 0) + } + + Button.prototype.toggle = function () { + var $parent = this.$element.closest('[data-toggle="buttons-radio"]') + + $parent && $parent + .find('.active') + .removeClass('active') + + this.$element.toggleClass('active') + } + + + /* BUTTON PLUGIN DEFINITION + * ======================== */ + + var old = $.fn.button + + $.fn.button = function (option) { + return this.each(function () { + var $this = $(this) + , data = $this.data('button') + , options = typeof option == 'object' && option + if (!data) $this.data('button', (data = new Button(this, options))) + if (option == 'toggle') data.toggle() + else if (option) data.setState(option) + }) + } + + $.fn.button.defaults = { + loadingText: 'loading...' + } + + $.fn.button.Constructor = Button + + + /* BUTTON NO CONFLICT + * ================== */ + + $.fn.button.noConflict = function () { + $.fn.button = old + return this + } + + + /* BUTTON DATA-API + * =============== */ + + $(document).on('click.button.data-api', '[data-toggle^=button]', function (e) { + var $btn = $(e.target) + if (!$btn.hasClass('btn')) $btn = $btn.closest('.btn') + $btn.button('toggle') + }) + +}(window.$jqTheme || window.jQuery); +/* ========================================================== + * bootstrap-carousel.js v2.3.2 + * http://twitter.github.com/bootstrap/javascript.html#carousel + * ========================================================== + * Copyright 2012 Twitter, Inc. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + * ========================================================== */ + + +!function ($) { + + "use strict"; // jshint ;_; + + + /* CAROUSEL CLASS DEFINITION + * ========================= */ + + var Carousel = function (element, options) { + this.$element = $(element) + this.$indicators = this.$element.find('.carousel-indicators') + this.options = options + this.options.pause == 'hover' && this.$element + .on('mouseenter', $.proxy(this.pause, this)) + .on('mouseleave', $.proxy(this.cycle, this)) + } + + Carousel.prototype = { + + cycle: function (e) { + if (!e) this.paused = false + if (this.interval) clearInterval(this.interval); + this.options.interval + && !this.paused + && (this.interval = setInterval($.proxy(this.next, this), this.options.interval)) + return this + } + + , getActiveIndex: function () { + this.$active = this.$element.find('.item.active') + this.$items = this.$active.parent().children() + return this.$items.index(this.$active) + } + + , to: function (pos) { + var activeIndex = this.getActiveIndex() + , that = this + + if (pos > (this.$items.length - 1) || pos < 0) return + + if (this.sliding) { + return this.$element.one('slid', function () { + that.to(pos) + }) + } + + if (activeIndex == pos) { + return this.pause().cycle() + } + + return this.slide(pos > activeIndex ? 'next' : 'prev', $(this.$items[pos])) + } + + , pause: function (e) { + if (!e) this.paused = true + if (this.$element.find('.next, .prev').length && $.support.transition.end) { + this.$element.trigger($.support.transition.end) + this.cycle(true) + } + clearInterval(this.interval) + this.interval = null + return this + } + + , next: function () { + if (this.sliding) return + return this.slide('next') + } + + , prev: function () { + if (this.sliding) return + return this.slide('prev') + } + + , slide: function (type, next) { + var $active = this.$element.find('.item.active') + , $next = next || $active[type]() + , isCycling = this.interval + , direction = type == 'next' ? 'left' : 'right' + , fallback = type == 'next' ? 'first' : 'last' + , that = this + , e + + this.sliding = true + + isCycling && this.pause() + + $next = $next.length ? $next : this.$element.find('.item')[fallback]() + + e = $.Event('slide', { + relatedTarget: $next[0] + , direction: direction + }) + + if ($next.hasClass('active')) return + + if (this.$indicators.length) { + this.$indicators.find('.active').removeClass('active') + this.$element.one('slid', function () { + var $nextIndicator = $(that.$indicators.children()[that.getActiveIndex()]) + $nextIndicator && $nextIndicator.addClass('active') + }) + } + + if ($.support.transition && this.$element.hasClass('slide')) { + this.$element.trigger(e) + if (e.isDefaultPrevented()) return + $next.addClass(type) + $next[0].offsetWidth // force reflow + $active.addClass(direction) + $next.addClass(direction) + this.$element.one($.support.transition.end, function () { + $next.removeClass([type, direction].join(' ')).addClass('active') + $active.removeClass(['active', direction].join(' ')) + that.sliding = false + setTimeout(function () { that.$element.trigger('slid') }, 0) + }) + } else { + this.$element.trigger(e) + if (e.isDefaultPrevented()) return + $active.removeClass('active') + $next.addClass('active') + this.sliding = false + this.$element.trigger('slid') + } + + isCycling && this.cycle() + + return this + } + + } + + + /* CAROUSEL PLUGIN DEFINITION + * ========================== */ + + var old = $.fn.carousel + + $.fn.carousel = function (option) { + return this.each(function () { + var $this = $(this) + , data = $this.data('carousel') + , options = $.extend({}, $.fn.carousel.defaults, typeof option == 'object' && option) + , action = typeof option == 'string' ? option : options.slide + if (!data) $this.data('carousel', (data = new Carousel(this, options))) + if (typeof option == 'number') data.to(option) + else if (action) data[action]() + else if (options.interval) data.pause().cycle() + }) + } + + $.fn.carousel.defaults = { + interval: 5000 + , pause: 'hover' + } + + $.fn.carousel.Constructor = Carousel + + + /* CAROUSEL NO CONFLICT + * ==================== */ + + $.fn.carousel.noConflict = function () { + $.fn.carousel = old + return this + } + + /* CAROUSEL DATA-API + * ================= */ + + $(document).on('click.carousel.data-api', '[data-slide], [data-slide-to]', function (e) { + var $this = $(this), href + , $target = $($this.attr('data-target') || (href = $this.attr('href')) && href.replace(/.*(?=#[^\s]+$)/, '')) //strip for ie7 + , options = $.extend({}, $target.data(), $this.data()) + , slideIndex + + $target.carousel(options) + + if (slideIndex = $this.attr('data-slide-to')) { + $target.data('carousel').pause().to(slideIndex).cycle() + } + + e.preventDefault() + }) + +}(window.$jqTheme || window.jQuery); +/* ============================================================= + * bootstrap-collapse.js v2.3.2 + * http://twitter.github.com/bootstrap/javascript.html#collapse + * ============================================================= + * Copyright 2012 Twitter, Inc. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + * ============================================================ */ + + +!function ($) { + + "use strict"; // jshint ;_; + + + /* COLLAPSE PUBLIC CLASS DEFINITION + * ================================ */ + + var Collapse = function (element, options) { + this.$element = $(element) + this.options = $.extend({}, $.fn.collapse.defaults, options) + + if (this.options.parent) { + this.$parent = $(this.options.parent) + } + + this.options.toggle && this.toggle() + } + + Collapse.prototype = { + + constructor: Collapse + + , dimension: function () { + var hasWidth = this.$element.hasClass('width') + return hasWidth ? 'width' : 'height' + } + + , show: function () { + var dimension + , scroll + , actives + , hasData + + if (this.transitioning || this.$element.hasClass('in')) return + + dimension = this.dimension() + scroll = $.camelCase(['scroll', dimension].join('-')) + actives = this.$parent && this.$parent.find('> .accordion-group > .in') + + if (actives && actives.length) { + hasData = actives.data('collapse') + if (hasData && hasData.transitioning) return + actives.collapse('hide') + hasData || actives.data('collapse', null) + } + + this.$element[dimension](0) + this.transition('addClass', $.Event('show'), 'shown') + $.support.transition && this.$element[dimension](this.$element[0][scroll]) + } + + , hide: function () { + var dimension + if (this.transitioning || !this.$element.hasClass('in')) return + dimension = this.dimension() + this.reset(this.$element[dimension]()) + this.transition('removeClass', $.Event('hide'), 'hidden') + this.$element[dimension](0) + } + + , reset: function (size) { + var dimension = this.dimension() + + this.$element + .removeClass('collapse') + [dimension](size || 'auto') + [0].offsetWidth + + this.$element[size !== null ? 'addClass' : 'removeClass']('collapse') + + return this + } + + , transition: function (method, startEvent, completeEvent) { + var that = this + , complete = function () { + if (startEvent.type == 'show') that.reset() + that.transitioning = 0 + that.$element.trigger(completeEvent) + } + + this.$element.trigger(startEvent) + + if (startEvent.isDefaultPrevented()) return + + this.transitioning = 1 + + this.$element[method]('in') + + $.support.transition && this.$element.hasClass('collapse') ? + this.$element.one($.support.transition.end, complete) : + complete() + } + + , toggle: function () { + this[this.$element.hasClass('in') ? 'hide' : 'show']() + } + + } + + + /* COLLAPSE PLUGIN DEFINITION + * ========================== */ + + var old = $.fn.collapse + + $.fn.collapse = function (option) { + return this.each(function () { + var $this = $(this) + , data = $this.data('collapse') + , options = $.extend({}, $.fn.collapse.defaults, $this.data(), typeof option == 'object' && option) + if (!data) $this.data('collapse', (data = new Collapse(this, options))) + if (typeof option == 'string') data[option]() + }) + } + + $.fn.collapse.defaults = { + toggle: true + } + + $.fn.collapse.Constructor = Collapse + + + /* COLLAPSE NO CONFLICT + * ==================== */ + + $.fn.collapse.noConflict = function () { + $.fn.collapse = old + return this + } + + + /* COLLAPSE DATA-API + * ================= */ + + $(document).on('click.collapse.data-api', '[data-toggle=collapse]', function (e) { + var $this = $(this), href + , target = $this.attr('data-target') + || e.preventDefault() + || (href = $this.attr('href')) && href.replace(/.*(?=#[^\s]+$)/, '') //strip for ie7 + , option = $(target).data('collapse') ? 'toggle' : $this.data() + $this[$(target).hasClass('in') ? 'addClass' : 'removeClass']('collapsed') + $(target).collapse(option) + }) + +}(window.$jqTheme || window.jQuery); +/* ============================================================ + * bootstrap-dropdown.js v2.3.2 + * http://twitter.github.com/bootstrap/javascript.html#dropdowns + * ============================================================ + * Copyright 2012 Twitter, Inc. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + * ============================================================ */ + + +!function ($) { + + "use strict"; // jshint ;_; + + + /* DROPDOWN CLASS DEFINITION + * ========================= */ + + var toggle = '[data-toggle=dropdown]' + , Dropdown = function (element) { + var $el = $(element).on('click.dropdown.data-api', this.toggle) + $('html').on('click.dropdown.data-api', function () { + $el.parent().removeClass('open') + }) + } + + Dropdown.prototype = { + + constructor: Dropdown + + , toggle: function (e) { + var $this = $(this) + , $parent + , isActive + + if ($this.is('.disabled, :disabled')) return + + $parent = getParent($this) + + isActive = $parent.hasClass('open') + + clearMenus() + + if (!isActive) { + if ('ontouchstart' in document.documentElement) { + // if mobile we we use a backdrop because click events don't delegate + $('
').insertBefore($(this)).on('click', clearMenus) + } + $parent.toggleClass('open') + } + + $this.focus() + + return false + } + + , keydown: function (e) { + var $this + , $items + , $active + , $parent + , isActive + , index + + if (!/(38|40|27)/.test(e.keyCode)) return + + $this = $(this) + + e.preventDefault() + e.stopPropagation() + + if ($this.is('.disabled, :disabled')) return + + $parent = getParent($this) + + isActive = $parent.hasClass('open') + + if (!isActive || (isActive && e.keyCode == 27)) { + if (e.which == 27) $parent.find(toggle).focus() + return $this.click() + } + + $items = $('[role=menu] li:not(.divider):visible a', $parent) + + if (!$items.length) return + + index = $items.index($items.filter(':focus')) + + if (e.keyCode == 38 && index > 0) index-- // up + if (e.keyCode == 40 && index < $items.length - 1) index++ // down + if (!~index) index = 0 + + $items + .eq(index) + .focus() + } + + } + + function clearMenus() { + $('.dropdown-backdrop').remove() + $(toggle).each(function () { + getParent($(this)).removeClass('open') + }) + } + + function getParent($this) { + var selector = $this.attr('data-target') + , $parent + + if (!selector) { + selector = $this.attr('href') + selector = selector && /#/.test(selector) && selector.replace(/.*(?=#[^\s]*$)/, '') //strip for ie7 + } + + $parent = selector && $(selector) + + if (!$parent || !$parent.length) $parent = $this.parent() + + return $parent + } + + + /* DROPDOWN PLUGIN DEFINITION + * ========================== */ + + var old = $.fn.dropdown + + $.fn.dropdown = function (option) { + return this.each(function () { + var $this = $(this) + , data = $this.data('dropdown') + if (!data) $this.data('dropdown', (data = new Dropdown(this))) + if (typeof option == 'string') data[option].call($this) + }) + } + + $.fn.dropdown.Constructor = Dropdown + + + /* DROPDOWN NO CONFLICT + * ==================== */ + + $.fn.dropdown.noConflict = function () { + $.fn.dropdown = old + return this + } + + + /* APPLY TO STANDARD DROPDOWN ELEMENTS + * =================================== */ + + $(document) + .on('click.dropdown.data-api', clearMenus) + .on('click.dropdown.data-api', '.dropdown form', function (e) { e.stopPropagation() }) + .on('click.dropdown.data-api' , toggle, Dropdown.prototype.toggle) + .on('keydown.dropdown.data-api', toggle + ', [role=menu]' , Dropdown.prototype.keydown) + +}(window.$jqTheme || window.jQuery); +/* ========================================================= + * bootstrap-modal.js v2.3.2 + * http://twitter.github.com/bootstrap/javascript.html#modals + * ========================================================= + * Copyright 2012 Twitter, Inc. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + * ========================================================= */ + + +!function ($) { + + "use strict"; // jshint ;_; + + + /* MODAL CLASS DEFINITION + * ====================== */ + + var Modal = function (element, options) { + this.options = options + this.$element = $(element) + .delegate('[data-dismiss="modal"]', 'click.dismiss.modal', $.proxy(this.hide, this)) + this.options.remote && this.$element.find('.modal-body').load(this.options.remote) + } + + Modal.prototype = { + + constructor: Modal + + , toggle: function () { + return this[!this.isShown ? 'show' : 'hide']() + } + + , show: function () { + var that = this + , e = $.Event('show') + + this.$element.trigger(e) + + if (this.isShown || e.isDefaultPrevented()) return + + this.isShown = true + + this.escape() + + this.backdrop(function () { + var transition = $.support.transition && that.$element.hasClass('fade') + + if (!that.$element.parent().length) { + that.$element.appendTo(document.body) //don't move modals dom position + } + + that.$element.show() + + if (transition) { + that.$element[0].offsetWidth // force reflow + } + + that.$element + .addClass('in') + .attr('aria-hidden', false) + + that.enforceFocus() + + transition ? + that.$element.one($.support.transition.end, function () { that.$element.focus().trigger('shown') }) : + that.$element.focus().trigger('shown') + + }) + } + + , hide: function (e) { + e && e.preventDefault() + + var that = this + + e = $.Event('hide') + + this.$element.trigger(e) + + if (!this.isShown || e.isDefaultPrevented()) return + + this.isShown = false + + this.escape() + + $(document).off('focusin.modal') + + this.$element + .removeClass('in') + .attr('aria-hidden', true) + + $.support.transition && this.$element.hasClass('fade') ? + this.hideWithTransition() : + this.hideModal() + } + + , enforceFocus: function () { + var that = this + $(document).on('focusin.modal', function (e) { + if (that.$element[0] !== e.target && !that.$element.has(e.target).length) { + that.$element.focus() + } + }) + } + + , escape: function () { + var that = this + if (this.isShown && this.options.keyboard) { + this.$element.on('keyup.dismiss.modal', function ( e ) { + e.which == 27 && that.hide() + }) + } else if (!this.isShown) { + this.$element.off('keyup.dismiss.modal') + } + } + + , hideWithTransition: function () { + var that = this + , timeout = setTimeout(function () { + that.$element.off($.support.transition.end) + that.hideModal() + }, 500) + + this.$element.one($.support.transition.end, function () { + clearTimeout(timeout) + that.hideModal() + }) + } + + , hideModal: function () { + var that = this + this.$element.hide() + this.backdrop(function () { + that.removeBackdrop() + that.$element.trigger('hidden') + }) + } + + , removeBackdrop: function () { + this.$backdrop && this.$backdrop.remove() + this.$backdrop = null + } + + , backdrop: function (callback) { + var that = this + , animate = this.$element.hasClass('fade') ? 'fade' : '' + + if (this.isShown && this.options.backdrop) { + var doAnimate = $.support.transition && animate + + this.$backdrop = $('
') + .appendTo(document.body) + + this.$backdrop.click( + this.options.backdrop == 'static' ? + $.proxy(this.$element[0].focus, this.$element[0]) + : $.proxy(this.hide, this) + ) + + if (doAnimate) this.$backdrop[0].offsetWidth // force reflow + + this.$backdrop.addClass('in') + + if (!callback) return + + doAnimate ? + this.$backdrop.one($.support.transition.end, callback) : + callback() + + } else if (!this.isShown && this.$backdrop) { + this.$backdrop.removeClass('in') + + $.support.transition && this.$element.hasClass('fade')? + this.$backdrop.one($.support.transition.end, callback) : + callback() + + } else if (callback) { + callback() + } + } + } + + + /* MODAL PLUGIN DEFINITION + * ======================= */ + + var old = $.fn.modal + + $.fn.modal = function (option) { + return this.each(function () { + var $this = $(this) + , data = $this.data('modal') + , options = $.extend({}, $.fn.modal.defaults, $this.data(), typeof option == 'object' && option) + if (!data) $this.data('modal', (data = new Modal(this, options))) + if (typeof option == 'string') data[option]() + else if (options.show) data.show() + }) + } + + $.fn.modal.defaults = { + backdrop: true + , keyboard: true + , show: true + } + + $.fn.modal.Constructor = Modal + + + /* MODAL NO CONFLICT + * ================= */ + + $.fn.modal.noConflict = function () { + $.fn.modal = old + return this + } + + + /* MODAL DATA-API + * ============== */ + + $(document).on('click.modal.data-api', '[data-toggle="modal"]', function (e) { + var $this = $(this) + , href = $this.attr('href') + , $target = $($this.attr('data-target') || (href && href.replace(/.*(?=#[^\s]+$)/, ''))) //strip for ie7 + , option = $target.data('modal') ? 'toggle' : $.extend({ remote:!/#/.test(href) && href }, $target.data(), $this.data()) + + e.preventDefault() + + $target + .modal(option) + .one('hide', function () { + $this.focus() + }) + }) + +}(window.$jqTheme || window.jQuery); +/* =========================================================== + * bootstrap-tooltip.js v2.3.2 + * http://twitter.github.com/bootstrap/javascript.html#tooltips + * Inspired by the original jQuery.tipsy by Jason Frame + * =========================================================== + * Copyright 2012 Twitter, Inc. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + * ========================================================== */ + + +!function ($) { + + "use strict"; // jshint ;_; + + + /* TOOLTIP PUBLIC CLASS DEFINITION + * =============================== */ + + var Tooltip = function (element, options) { + this.init('tooltip', element, options) + } + + Tooltip.prototype = { + + constructor: Tooltip + + , init: function (type, element, options) { + var eventIn + , eventOut + , triggers + , trigger + , i + + this.type = type + this.$element = $(element) + this.options = this.getOptions(options) + this.enabled = true + + triggers = this.options.trigger.split(' ') + + for (i = triggers.length; i--;) { + trigger = triggers[i] + if (trigger == 'click') { + this.$element.on('click.' + this.type, this.options.selector, $.proxy(this.toggle, this)) + } else if (trigger != 'manual') { + eventIn = trigger == 'hover' ? 'mouseenter' : 'focus' + eventOut = trigger == 'hover' ? 'mouseleave' : 'blur' + this.$element.on(eventIn + '.' + this.type, this.options.selector, $.proxy(this.enter, this)) + this.$element.on(eventOut + '.' + this.type, this.options.selector, $.proxy(this.leave, this)) + } + } + + this.options.selector ? + (this._options = $.extend({}, this.options, { trigger: 'manual', selector: '' })) : + this.fixTitle() + } + + , getOptions: function (options) { + options = $.extend({}, $.fn[this.type].defaults, this.$element.data(), options) + + if (options.delay && typeof options.delay == 'number') { + options.delay = { + show: options.delay + , hide: options.delay + } + } + + return options + } + + , enter: function (e) { + var defaults = $.fn[this.type].defaults + , options = {} + , self + + this._options && $.each(this._options, function (key, value) { + if (defaults[key] != value) options[key] = value + }, this) + + self = $(e.currentTarget)[this.type](options).data(this.type) + + if (!self.options.delay || !self.options.delay.show) return self.show() + + clearTimeout(this.timeout) + self.hoverState = 'in' + this.timeout = setTimeout(function() { + if (self.hoverState == 'in') self.show() + }, self.options.delay.show) + } + + , leave: function (e) { + var self = $(e.currentTarget)[this.type](this._options).data(this.type) + + if (this.timeout) clearTimeout(this.timeout) + if (!self.options.delay || !self.options.delay.hide) return self.hide() + + self.hoverState = 'out' + this.timeout = setTimeout(function() { + if (self.hoverState == 'out') self.hide() + }, self.options.delay.hide) + } + + , show: function () { + var $tip + , pos + , actualWidth + , actualHeight + , placement + , tp + , e = $.Event('show') + + if (this.hasContent() && this.enabled) { + this.$element.trigger(e) + if (e.isDefaultPrevented()) return + $tip = this.tip() + this.setContent() + + if (this.options.animation) { + $tip.addClass('fade') + } + + placement = typeof this.options.placement == 'function' ? + this.options.placement.call(this, $tip[0], this.$element[0]) : + this.options.placement + + $tip + .detach() + .css({ top: 0, left: 0, display: 'block' }) + + this.options.container ? $tip.appendTo(this.options.container) : $tip.insertAfter(this.$element) + + pos = this.getPosition() + + actualWidth = $tip[0].offsetWidth + actualHeight = $tip[0].offsetHeight + + switch (placement) { + case 'bottom': + tp = {top: pos.top + pos.height, left: pos.left + pos.width / 2 - actualWidth / 2} + break + case 'top': + tp = {top: pos.top - actualHeight, left: pos.left + pos.width / 2 - actualWidth / 2} + break + case 'left': + tp = {top: pos.top + pos.height / 2 - actualHeight / 2, left: pos.left - actualWidth} + break + case 'right': + tp = {top: pos.top + pos.height / 2 - actualHeight / 2, left: pos.left + pos.width} + break + } + + this.applyPlacement(tp, placement) + this.$element.trigger('shown') + } + } + + , applyPlacement: function(offset, placement){ + var $tip = this.tip() + , width = $tip[0].offsetWidth + , height = $tip[0].offsetHeight + , actualWidth + , actualHeight + , delta + , replace + + $tip + .offset(offset) + .addClass(placement) + .addClass('in') + + actualWidth = $tip[0].offsetWidth + actualHeight = $tip[0].offsetHeight + + if (placement == 'top' && actualHeight != height) { + offset.top = offset.top + height - actualHeight + replace = true + } + + if (placement == 'bottom' || placement == 'top') { + delta = 0 + + if (offset.left < 0){ + delta = offset.left * -2 + offset.left = 0 + $tip.offset(offset) + actualWidth = $tip[0].offsetWidth + actualHeight = $tip[0].offsetHeight + } + + this.replaceArrow(delta - width + actualWidth, actualWidth, 'left') + } else { + this.replaceArrow(actualHeight - height, actualHeight, 'top') + } + + if (replace) $tip.offset(offset) + } + + , replaceArrow: function(delta, dimension, position){ + this + .arrow() + .css(position, delta ? (50 * (1 - delta / dimension) + "%") : '') + } + + , setContent: function () { + var $tip = this.tip() + , title = this.getTitle() + + $tip.find('.tooltip-inner')[this.options.html ? 'html' : 'text'](title) + $tip.removeClass('fade in top bottom left right') + } + + , hide: function () { + var that = this + , $tip = this.tip() + , e = $.Event('hide') + + this.$element.trigger(e) + if (e.isDefaultPrevented()) return + + $tip.removeClass('in') + + function removeWithAnimation() { + var timeout = setTimeout(function () { + $tip.off($.support.transition.end).detach() + }, 500) + + $tip.one($.support.transition.end, function () { + clearTimeout(timeout) + $tip.detach() + }) + } + + $.support.transition && this.$tip.hasClass('fade') ? + removeWithAnimation() : + $tip.detach() + + this.$element.trigger('hidden') + + return this + } + + , fixTitle: function () { + var $e = this.$element + if ($e.attr('title') || typeof($e.attr('data-original-title')) != 'string') { + $e.attr('data-original-title', $e.attr('title') || '').attr('title', '') + } + } + + , hasContent: function () { + return this.getTitle() + } + + , getPosition: function () { + var el = this.$element[0] + return $.extend({}, (typeof el.getBoundingClientRect == 'function') ? el.getBoundingClientRect() : { + width: el.offsetWidth + , height: el.offsetHeight + }, this.$element.offset()) + } + + , getTitle: function () { + var title + , $e = this.$element + , o = this.options + + title = $e.attr('data-original-title') + || (typeof o.title == 'function' ? o.title.call($e[0]) : o.title) + + return title + } + + , tip: function () { + return this.$tip = this.$tip || $(this.options.template) + } + + , arrow: function(){ + return this.$arrow = this.$arrow || this.tip().find(".tooltip-arrow") + } + + , validate: function () { + if (!this.$element[0].parentNode) { + this.hide() + this.$element = null + this.options = null + } + } + + , enable: function () { + this.enabled = true + } + + , disable: function () { + this.enabled = false + } + + , toggleEnabled: function () { + this.enabled = !this.enabled + } + + , toggle: function (e) { + var self = e ? $(e.currentTarget)[this.type](this._options).data(this.type) : this + self.tip().hasClass('in') ? self.hide() : self.show() + } + + , destroy: function () { + this.hide().$element.off('.' + this.type).removeData(this.type) + } + + } + + + /* TOOLTIP PLUGIN DEFINITION + * ========================= */ + + var old = $.fn.tooltip + + $.fn.tooltip = function ( option ) { + return this.each(function () { + var $this = $(this) + , data = $this.data('tooltip') + , options = typeof option == 'object' && option + if (!data) $this.data('tooltip', (data = new Tooltip(this, options))) + if (typeof option == 'string') data[option]() + }) + } + + $.fn.tooltip.Constructor = Tooltip + + $.fn.tooltip.defaults = { + animation: true + , placement: 'top' + , selector: false + , template: '
' + , trigger: 'hover focus' + , title: '' + , delay: 0 + , html: false + , container: false + } + + + /* TOOLTIP NO CONFLICT + * =================== */ + + $.fn.tooltip.noConflict = function () { + $.fn.tooltip = old + return this + } + +}(window.$jqTheme || window.jQuery); +/* =========================================================== + * bootstrap-popover.js v2.3.2 + * http://twitter.github.com/bootstrap/javascript.html#popovers + * =========================================================== + * Copyright 2012 Twitter, Inc. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + * =========================================================== */ + + +!function ($) { + + "use strict"; // jshint ;_; + + + /* POPOVER PUBLIC CLASS DEFINITION + * =============================== */ + + var Popover = function (element, options) { + this.init('popover', element, options) + } + + + /* NOTE: POPOVER EXTENDS BOOTSTRAP-TOOLTIP.js + ========================================== */ + + Popover.prototype = $.extend({}, $.fn.tooltip.Constructor.prototype, { + + constructor: Popover + + , setContent: function () { + var $tip = this.tip() + , title = this.getTitle() + , content = this.getContent() + + $tip.find('.popover-title')[this.options.html ? 'html' : 'text'](title) + $tip.find('.popover-content')[this.options.html ? 'html' : 'text'](content) + + $tip.removeClass('fade top bottom left right in') + } + + , hasContent: function () { + return this.getTitle() || this.getContent() + } + + , getContent: function () { + var content + , $e = this.$element + , o = this.options + + content = (typeof o.content == 'function' ? o.content.call($e[0]) : o.content) + || $e.attr('data-content') + + return content + } + + , tip: function () { + if (!this.$tip) { + this.$tip = $(this.options.template) + } + return this.$tip + } + + , destroy: function () { + this.hide().$element.off('.' + this.type).removeData(this.type) + } + + }) + + + /* POPOVER PLUGIN DEFINITION + * ======================= */ + + var old = $.fn.popover + + $.fn.popover = function (option) { + return this.each(function () { + var $this = $(this) + , data = $this.data('popover') + , options = typeof option == 'object' && option + if (!data) $this.data('popover', (data = new Popover(this, options))) + if (typeof option == 'string') data[option]() + }) + } + + $.fn.popover.Constructor = Popover + + $.fn.popover.defaults = $.extend({} , $.fn.tooltip.defaults, { + placement: 'right' + , trigger: 'click' + , content: '' + , template: '

' + }) + + + /* POPOVER NO CONFLICT + * =================== */ + + $.fn.popover.noConflict = function () { + $.fn.popover = old + return this + } + +}(window.$jqTheme || window.jQuery); +/* ============================================================= + * bootstrap-scrollspy.js v2.3.2 + * http://twitter.github.com/bootstrap/javascript.html#scrollspy + * ============================================================= + * Copyright 2012 Twitter, Inc. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + * ============================================================== */ + + +!function ($) { + + "use strict"; // jshint ;_; + + + /* SCROLLSPY CLASS DEFINITION + * ========================== */ + + function ScrollSpy(element, options) { + var process = $.proxy(this.process, this) + , $element = $(element).is('body') ? $(window) : $(element) + , href + this.options = $.extend({}, $.fn.scrollspy.defaults, options) + this.$scrollElement = $element.on('scroll.scroll-spy.data-api', process) + this.selector = (this.options.target + || ((href = $(element).attr('href')) && href.replace(/.*(?=#[^\s]+$)/, '')) //strip for ie7 + || '') + ' .nav li > a' + this.$body = $('body') + this.refresh() + this.process() + } + + ScrollSpy.prototype = { + + constructor: ScrollSpy + + , refresh: function () { + var self = this + , $targets + + this.offsets = $([]) + this.targets = $([]) + + $targets = this.$body + .find(this.selector) + .map(function () { + var $el = $(this) + , href = $el.data('target') || $el.attr('href') + , $href = /^#\w/.test(href) && $(href) + return ( $href + && $href.length + && [[ $href.position().top + (!$.isWindow(self.$scrollElement.get(0)) && self.$scrollElement.scrollTop()), href ]] ) || null + }) + .sort(function (a, b) { return a[0] - b[0] }) + .each(function () { + self.offsets.push(this[0]) + self.targets.push(this[1]) + }) + } + + , process: function () { + var scrollTop = this.$scrollElement.scrollTop() + this.options.offset + , scrollHeight = this.$scrollElement[0].scrollHeight || this.$body[0].scrollHeight + , maxScroll = scrollHeight - this.$scrollElement.height() + , offsets = this.offsets + , targets = this.targets + , activeTarget = this.activeTarget + , i + + if (scrollTop >= maxScroll) { + return activeTarget != (i = targets.last()[0]) + && this.activate ( i ) + } + + for (i = offsets.length; i--;) { + activeTarget != targets[i] + && scrollTop >= offsets[i] + && (!offsets[i + 1] || scrollTop <= offsets[i + 1]) + && this.activate( targets[i] ) + } + } + + , activate: function (target) { + var active + , selector + + this.activeTarget = target + + $(this.selector) + .parent('.active') + .removeClass('active') + + selector = this.selector + + '[data-target="' + target + '"],' + + this.selector + '[href="' + target + '"]' + + active = $(selector) + .parent('li') + .addClass('active') + + if (active.parent('.dropdown-menu').length) { + active = active.closest('li.dropdown').addClass('active') + } + + active.trigger('activate') + } + + } + + + /* SCROLLSPY PLUGIN DEFINITION + * =========================== */ + + var old = $.fn.scrollspy + + $.fn.scrollspy = function (option) { + return this.each(function () { + var $this = $(this) + , data = $this.data('scrollspy') + , options = typeof option == 'object' && option + if (!data) $this.data('scrollspy', (data = new ScrollSpy(this, options))) + if (typeof option == 'string') data[option]() + }) + } + + $.fn.scrollspy.Constructor = ScrollSpy + + $.fn.scrollspy.defaults = { + offset: 10 + } + + + /* SCROLLSPY NO CONFLICT + * ===================== */ + + $.fn.scrollspy.noConflict = function () { + $.fn.scrollspy = old + return this + } + + + /* SCROLLSPY DATA-API + * ================== */ + + $(window).on('load', function () { + $('[data-spy="scroll"]').each(function () { + var $spy = $(this) + $spy.scrollspy($spy.data()) + }) + }) + +}(window.$jqTheme || window.jQuery); +/* ======================================================== + * bootstrap-tab.js v2.3.2 + * http://twitter.github.com/bootstrap/javascript.html#tabs + * ======================================================== + * Copyright 2012 Twitter, Inc. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + * ======================================================== */ + + +!function ($) { + + "use strict"; // jshint ;_; + + + /* TAB CLASS DEFINITION + * ==================== */ + + var Tab = function (element) { + this.element = $(element) + } + + Tab.prototype = { + + constructor: Tab + + , show: function () { + var $this = this.element + , $ul = $this.closest('ul:not(.dropdown-menu)') + , selector = $this.attr('data-target') + , previous + , $target + , e + + if (!selector) { + selector = $this.attr('href') + selector = selector && selector.replace(/.*(?=#[^\s]*$)/, '') //strip for ie7 + } + + if ( $this.parent('li').hasClass('active') ) return + + previous = $ul.find('.active:last a')[0] + + e = $.Event('show', { + relatedTarget: previous + }) + + $this.trigger(e) + + if (e.isDefaultPrevented()) return + + $target = $(selector) + + this.activate($this.parent('li'), $ul) + this.activate($target, $target.parent(), function () { + $this.trigger({ + type: 'shown' + , relatedTarget: previous + }) + }) + } + + , activate: function ( element, container, callback) { + var $active = container.find('> .active') + , transition = callback + && $.support.transition + && $active.hasClass('fade') + + function next() { + $active + .removeClass('active') + .find('> .dropdown-menu > .active') + .removeClass('active') + + element.addClass('active') + + if (transition) { + element[0].offsetWidth // reflow for transition + element.addClass('in') + } else { + element.removeClass('fade') + } + + if ( element.parent('.dropdown-menu') ) { + element.closest('li.dropdown').addClass('active') + } + + callback && callback() + } + + transition ? + $active.one($.support.transition.end, next) : + next() + + $active.removeClass('in') + } + } + + + /* TAB PLUGIN DEFINITION + * ===================== */ + + var old = $.fn.tab + + $.fn.tab = function ( option ) { + return this.each(function () { + var $this = $(this) + , data = $this.data('tab') + if (!data) $this.data('tab', (data = new Tab(this))) + if (typeof option == 'string') data[option]() + }) + } + + $.fn.tab.Constructor = Tab + + + /* TAB NO CONFLICT + * =============== */ + + $.fn.tab.noConflict = function () { + $.fn.tab = old + return this + } + + + /* TAB DATA-API + * ============ */ + + $(document).on('click.tab.data-api', '[data-toggle="tab"], [data-toggle="pill"]', function (e) { + e.preventDefault() + $(this).tab('show') + }) + +}(window.$jqTheme || window.jQuery); +/* ============================================================= + * bootstrap-typeahead.js v2.3.2 + * http://twitter.github.com/bootstrap/javascript.html#typeahead + * ============================================================= + * Copyright 2012 Twitter, Inc. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + * ============================================================ */ + + +!function($){ + + "use strict"; // jshint ;_; + + + /* TYPEAHEAD PUBLIC CLASS DEFINITION + * ================================= */ + + var Typeahead = function (element, options) { + this.$element = $(element) + this.options = $.extend({}, $.fn.typeahead.defaults, options) + this.matcher = this.options.matcher || this.matcher + this.sorter = this.options.sorter || this.sorter + this.highlighter = this.options.highlighter || this.highlighter + this.updater = this.options.updater || this.updater + this.source = this.options.source + this.$menu = $(this.options.menu) + this.shown = false + this.listen() + } + + Typeahead.prototype = { + + constructor: Typeahead + + , select: function () { + var val = this.$menu.find('.active').attr('data-value') + this.$element + .val(this.updater(val)) + .change() + return this.hide() + } + + , updater: function (item) { + return item + } + + , show: function () { + var pos = $.extend({}, this.$element.position(), { + height: this.$element[0].offsetHeight + }) + + this.$menu + .insertAfter(this.$element) + .css({ + top: pos.top + pos.height + , left: pos.left + }) + .show() + + this.shown = true + return this + } + + , hide: function () { + this.$menu.hide() + this.shown = false + return this + } + + , lookup: function (event) { + var items + + this.query = this.$element.val() + + if (!this.query || this.query.length < this.options.minLength) { + return this.shown ? this.hide() : this + } + + items = $.isFunction(this.source) ? this.source(this.query, $.proxy(this.process, this)) : this.source + + return items ? this.process(items) : this + } + + , process: function (items) { + var that = this + + items = $.grep(items, function (item) { + return that.matcher(item) + }) + + items = this.sorter(items) + + if (!items.length) { + return this.shown ? this.hide() : this + } + + return this.render(items.slice(0, this.options.items)).show() + } + + , matcher: function (item) { + return ~item.toLowerCase().indexOf(this.query.toLowerCase()) + } + + , sorter: function (items) { + var beginswith = [] + , caseSensitive = [] + , caseInsensitive = [] + , item + + while (item = items.shift()) { + if (!item.toLowerCase().indexOf(this.query.toLowerCase())) beginswith.push(item) + else if (~item.indexOf(this.query)) caseSensitive.push(item) + else caseInsensitive.push(item) + } + + return beginswith.concat(caseSensitive, caseInsensitive) + } + + , highlighter: function (item) { + var query = this.query.replace(/[\-\[\]{}()*+?.,\\\^$|#\s]/g, '\\$&') + return item.replace(new RegExp('(' + query + ')', 'ig'), function ($1, match) { + return '' + match + '' + }) + } + + , render: function (items) { + var that = this + + items = $(items).map(function (i, item) { + i = $(that.options.item).attr('data-value', item) + i.find('a').html(that.highlighter(item)) + return i[0] + }) + + items.first().addClass('active') + this.$menu.html(items) + return this + } + + , next: function (event) { + var active = this.$menu.find('.active').removeClass('active') + , next = active.next() + + if (!next.length) { + next = $(this.$menu.find('li')[0]) + } + + next.addClass('active') + } + + , prev: function (event) { + var active = this.$menu.find('.active').removeClass('active') + , prev = active.prev() + + if (!prev.length) { + prev = this.$menu.find('li').last() + } + + prev.addClass('active') + } + + , listen: function () { + this.$element + .on('focus', $.proxy(this.focus, this)) + .on('blur', $.proxy(this.blur, this)) + .on('keypress', $.proxy(this.keypress, this)) + .on('keyup', $.proxy(this.keyup, this)) + + if (this.eventSupported('keydown')) { + this.$element.on('keydown', $.proxy(this.keydown, this)) + } + + this.$menu + .on('click', $.proxy(this.click, this)) + .on('mouseenter', 'li', $.proxy(this.mouseenter, this)) + .on('mouseleave', 'li', $.proxy(this.mouseleave, this)) + } + + , eventSupported: function(eventName) { + var isSupported = eventName in this.$element + if (!isSupported) { + this.$element.setAttribute(eventName, 'return;') + isSupported = typeof this.$element[eventName] === 'function' + } + return isSupported + } + + , move: function (e) { + if (!this.shown) return + + switch(e.keyCode) { + case 9: // tab + case 13: // enter + case 27: // escape + e.preventDefault() + break + + case 38: // up arrow + e.preventDefault() + this.prev() + break + + case 40: // down arrow + e.preventDefault() + this.next() + break + } + + e.stopPropagation() + } + + , keydown: function (e) { + this.suppressKeyPressRepeat = ~$.inArray(e.keyCode, [40,38,9,13,27]) + this.move(e) + } + + , keypress: function (e) { + if (this.suppressKeyPressRepeat) return + this.move(e) + } + + , keyup: function (e) { + switch(e.keyCode) { + case 40: // down arrow + case 38: // up arrow + case 16: // shift + case 17: // ctrl + case 18: // alt + break + + case 9: // tab + case 13: // enter + if (!this.shown) return + this.select() + break + + case 27: // escape + if (!this.shown) return + this.hide() + break + + default: + this.lookup() + } + + e.stopPropagation() + e.preventDefault() + } + + , focus: function (e) { + this.focused = true + } + + , blur: function (e) { + this.focused = false + if (!this.mousedover && this.shown) this.hide() + } + + , click: function (e) { + e.stopPropagation() + e.preventDefault() + this.select() + this.$element.focus() + } + + , mouseenter: function (e) { + this.mousedover = true + this.$menu.find('.active').removeClass('active') + $(e.currentTarget).addClass('active') + } + + , mouseleave: function (e) { + this.mousedover = false + if (!this.focused && this.shown) this.hide() + } + + } + + + /* TYPEAHEAD PLUGIN DEFINITION + * =========================== */ + + var old = $.fn.typeahead + + $.fn.typeahead = function (option) { + return this.each(function () { + var $this = $(this) + , data = $this.data('typeahead') + , options = typeof option == 'object' && option + if (!data) $this.data('typeahead', (data = new Typeahead(this, options))) + if (typeof option == 'string') data[option]() + }) + } + + $.fn.typeahead.defaults = { + source: [] + , items: 8 + , menu: '
    ' + , item: '
    • ' + , minLength: 1 + } + + $.fn.typeahead.Constructor = Typeahead + + + /* TYPEAHEAD NO CONFLICT + * =================== */ + + $.fn.typeahead.noConflict = function () { + $.fn.typeahead = old + return this + } + + + /* TYPEAHEAD DATA-API + * ================== */ + + $(document).on('focus.typeahead.data-api', '[data-provide="typeahead"]', function (e) { + var $this = $(this) + if ($this.data('typeahead')) return + $this.typeahead($this.data()) + }) + +}(window.$jqTheme || window.jQuery); +/* ========================================================== + * bootstrap-affix.js v2.3.2 + * http://twitter.github.com/bootstrap/javascript.html#affix + * ========================================================== + * Copyright 2012 Twitter, Inc. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + * ========================================================== */ + + +!function ($) { + + "use strict"; // jshint ;_; + + + /* AFFIX CLASS DEFINITION + * ====================== */ + + var Affix = function (element, options) { + this.options = $.extend({}, $.fn.affix.defaults, options) + this.$window = $(window) + .on('scroll.affix.data-api', $.proxy(this.checkPosition, this)) + .on('click.affix.data-api', $.proxy(function () { setTimeout($.proxy(this.checkPosition, this), 1) }, this)) + this.$element = $(element) + this.checkPosition() + } + + Affix.prototype.checkPosition = function () { + if (!this.$element.is(':visible')) return + + var scrollHeight = $(document).height() + , scrollTop = this.$window.scrollTop() + , position = this.$element.offset() + , offset = this.options.offset + , offsetBottom = offset.bottom + , offsetTop = offset.top + , reset = 'affix affix-top affix-bottom' + , affix + + if (typeof offset != 'object') offsetBottom = offsetTop = offset + if (typeof offsetTop == 'function') offsetTop = offset.top() + if (typeof offsetBottom == 'function') offsetBottom = offset.bottom() + + affix = this.unpin != null && (scrollTop + this.unpin <= position.top) ? + false : offsetBottom != null && (position.top + this.$element.height() >= scrollHeight - offsetBottom) ? + 'bottom' : offsetTop != null && scrollTop <= offsetTop ? + 'top' : false + + if (this.affixed === affix) return + + this.affixed = affix + this.unpin = affix == 'bottom' ? position.top - scrollTop : null + + this.$element.removeClass(reset).addClass('affix' + (affix ? '-' + affix : '')) + } + + + /* AFFIX PLUGIN DEFINITION + * ======================= */ + + var old = $.fn.affix + + $.fn.affix = function (option) { + return this.each(function () { + var $this = $(this) + , data = $this.data('affix') + , options = typeof option == 'object' && option + if (!data) $this.data('affix', (data = new Affix(this, options))) + if (typeof option == 'string') data[option]() + }) + } + + $.fn.affix.Constructor = Affix + + $.fn.affix.defaults = { + offset: 0 + } + + + /* AFFIX NO CONFLICT + * ================= */ + + $.fn.affix.noConflict = function () { + $.fn.affix = old + return this + } + + + /* AFFIX DATA-API + * ============== */ + + $(window).on('load', function () { + $('[data-spy="affix"]').each(function () { + var $spy = $(this) + , data = $spy.data() + + data.offset = data.offset || {} + + data.offsetBottom && (data.offset.bottom = data.offsetBottom) + data.offsetTop && (data.offset.top = data.offsetTop) + + $spy.affix(data) + }) + }) + + +}(window.$jqTheme || window.jQuery); diff --git a/docs/build/html/_static/bootstrap-2.3.2/js/bootstrap.min.js b/docs/build/html/_static/bootstrap-2.3.2/js/bootstrap.min.js new file mode 100644 index 00000000..3a3394bd --- /dev/null +++ b/docs/build/html/_static/bootstrap-2.3.2/js/bootstrap.min.js @@ -0,0 +1,6 @@ +/** +* Bootstrap.js v2.3.2 by @fat & @mdo +* Copyright 2012 Twitter, Inc. +* http://www.apache.org/licenses/LICENSE-2.0.txt +*/ +!function(e){"use strict";e(function(){e.support.transition=function(){var e=function(){var e=document.createElement("bootstrap"),t={WebkitTransition:"webkitTransitionEnd",MozTransition:"transitionend",OTransition:"oTransitionEnd otransitionend",transition:"transitionend"},n;for(n in t)if(e.style[n]!==undefined)return t[n]}();return e&&{end:e}}()})}(window.$jqTheme||window.jQuery),!function(e){"use strict";var t='[data-dismiss="alert"]',n=function(n){e(n).on("click",t,this.close)};n.prototype.close=function(t){function 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rgba(0, 0, 0, 0.125); + box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125); +} +.btn-default.disabled, +.btn-primary.disabled, +.btn-success.disabled, +.btn-info.disabled, +.btn-warning.disabled, +.btn-danger.disabled, +.btn-default[disabled], +.btn-primary[disabled], +.btn-success[disabled], +.btn-info[disabled], +.btn-warning[disabled], +.btn-danger[disabled], +fieldset[disabled] .btn-default, +fieldset[disabled] .btn-primary, +fieldset[disabled] .btn-success, +fieldset[disabled] .btn-info, +fieldset[disabled] .btn-warning, +fieldset[disabled] .btn-danger { + -webkit-box-shadow: none; + box-shadow: none; +} +.btn-default .badge, +.btn-primary .badge, +.btn-success .badge, +.btn-info .badge, +.btn-warning .badge, +.btn-danger .badge { + text-shadow: none; +} +.btn:active, +.btn.active { + background-image: none; +} +.btn-default { + background-image: -webkit-linear-gradient(top, #fff 0%, #e0e0e0 100%); + background-image: -o-linear-gradient(top, #fff 0%, #e0e0e0 100%); + background-image: -webkit-gradient(linear, left top, left bottom, from(#fff), to(#e0e0e0)); + background-image: linear-gradient(to bottom, #fff 0%, #e0e0e0 100%); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffffffff', endColorstr='#ffe0e0e0', GradientType=0); + filter: progid:DXImageTransform.Microsoft.gradient(enabled = false); + background-repeat: repeat-x; + border-color: #dbdbdb; + text-shadow: 0 1px 0 #fff; + border-color: #ccc; +} +.btn-default:hover, +.btn-default:focus { + background-color: #e0e0e0; + background-position: 0 -15px; +} +.btn-default:active, +.btn-default.active { + background-color: #e0e0e0; + border-color: #dbdbdb; +} +.btn-default.disabled, +.btn-default[disabled], +fieldset[disabled] .btn-default, +.btn-default.disabled:hover, +.btn-default[disabled]:hover, +fieldset[disabled] .btn-default:hover, +.btn-default.disabled:focus, +.btn-default[disabled]:focus, +fieldset[disabled] .btn-default:focus, +.btn-default.disabled.focus, +.btn-default[disabled].focus, +fieldset[disabled] .btn-default.focus, +.btn-default.disabled:active, +.btn-default[disabled]:active, +fieldset[disabled] .btn-default:active, +.btn-default.disabled.active, +.btn-default[disabled].active, +fieldset[disabled] .btn-default.active { + background-color: #e0e0e0; + background-image: none; +} +.btn-primary { + background-image: -webkit-linear-gradient(top, #337ab7 0%, #265a88 100%); + background-image: -o-linear-gradient(top, #337ab7 0%, #265a88 100%); + background-image: -webkit-gradient(linear, left top, left bottom, from(#337ab7), to(#265a88)); + background-image: linear-gradient(to bottom, #337ab7 0%, #265a88 100%); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff265a88', GradientType=0); + filter: progid:DXImageTransform.Microsoft.gradient(enabled = false); + background-repeat: repeat-x; + border-color: #245580; +} +.btn-primary:hover, +.btn-primary:focus { + background-color: #265a88; + background-position: 0 -15px; +} +.btn-primary:active, +.btn-primary.active { + background-color: #265a88; + border-color: #245580; +} +.btn-primary.disabled, +.btn-primary[disabled], +fieldset[disabled] .btn-primary, +.btn-primary.disabled:hover, +.btn-primary[disabled]:hover, +fieldset[disabled] .btn-primary:hover, +.btn-primary.disabled:focus, +.btn-primary[disabled]:focus, +fieldset[disabled] .btn-primary:focus, +.btn-primary.disabled.focus, +.btn-primary[disabled].focus, +fieldset[disabled] .btn-primary.focus, +.btn-primary.disabled:active, +.btn-primary[disabled]:active, +fieldset[disabled] .btn-primary:active, +.btn-primary.disabled.active, +.btn-primary[disabled].active, +fieldset[disabled] .btn-primary.active { + background-color: #265a88; + background-image: none; +} +.btn-success { + background-image: -webkit-linear-gradient(top, #5cb85c 0%, #419641 100%); + background-image: -o-linear-gradient(top, #5cb85c 0%, #419641 100%); + background-image: -webkit-gradient(linear, left top, left bottom, from(#5cb85c), to(#419641)); + background-image: linear-gradient(to bottom, #5cb85c 0%, #419641 100%); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5cb85c', endColorstr='#ff419641', GradientType=0); + filter: progid:DXImageTransform.Microsoft.gradient(enabled = false); + background-repeat: repeat-x; + border-color: #3e8f3e; +} +.btn-success:hover, +.btn-success:focus { + background-color: #419641; + background-position: 0 -15px; +} +.btn-success:active, +.btn-success.active { + background-color: #419641; + border-color: #3e8f3e; +} +.btn-success.disabled, +.btn-success[disabled], +fieldset[disabled] .btn-success, +.btn-success.disabled:hover, +.btn-success[disabled]:hover, +fieldset[disabled] .btn-success:hover, +.btn-success.disabled:focus, +.btn-success[disabled]:focus, +fieldset[disabled] .btn-success:focus, +.btn-success.disabled.focus, +.btn-success[disabled].focus, +fieldset[disabled] .btn-success.focus, +.btn-success.disabled:active, +.btn-success[disabled]:active, +fieldset[disabled] .btn-success:active, +.btn-success.disabled.active, +.btn-success[disabled].active, +fieldset[disabled] .btn-success.active { + background-color: #419641; + background-image: none; +} +.btn-info { + background-image: -webkit-linear-gradient(top, #5bc0de 0%, #2aabd2 100%); + background-image: -o-linear-gradient(top, #5bc0de 0%, #2aabd2 100%); + background-image: -webkit-gradient(linear, left top, left bottom, from(#5bc0de), to(#2aabd2)); + background-image: linear-gradient(to bottom, #5bc0de 0%, #2aabd2 100%); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5bc0de', endColorstr='#ff2aabd2', GradientType=0); + filter: progid:DXImageTransform.Microsoft.gradient(enabled = false); + background-repeat: repeat-x; + border-color: #28a4c9; +} +.btn-info:hover, +.btn-info:focus { + background-color: #2aabd2; + background-position: 0 -15px; +} +.btn-info:active, +.btn-info.active { + background-color: #2aabd2; + border-color: #28a4c9; +} +.btn-info.disabled, +.btn-info[disabled], +fieldset[disabled] .btn-info, +.btn-info.disabled:hover, +.btn-info[disabled]:hover, +fieldset[disabled] .btn-info:hover, +.btn-info.disabled:focus, +.btn-info[disabled]:focus, +fieldset[disabled] .btn-info:focus, +.btn-info.disabled.focus, +.btn-info[disabled].focus, +fieldset[disabled] .btn-info.focus, +.btn-info.disabled:active, +.btn-info[disabled]:active, +fieldset[disabled] .btn-info:active, +.btn-info.disabled.active, +.btn-info[disabled].active, +fieldset[disabled] .btn-info.active { + background-color: #2aabd2; + background-image: none; +} +.btn-warning { + background-image: -webkit-linear-gradient(top, #f0ad4e 0%, #eb9316 100%); + background-image: -o-linear-gradient(top, #f0ad4e 0%, #eb9316 100%); + background-image: -webkit-gradient(linear, left top, left bottom, from(#f0ad4e), to(#eb9316)); + background-image: linear-gradient(to bottom, #f0ad4e 0%, #eb9316 100%); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff0ad4e', endColorstr='#ffeb9316', GradientType=0); + filter: progid:DXImageTransform.Microsoft.gradient(enabled = false); + background-repeat: repeat-x; + border-color: #e38d13; +} +.btn-warning:hover, +.btn-warning:focus { + background-color: #eb9316; + background-position: 0 -15px; +} +.btn-warning:active, +.btn-warning.active { + background-color: #eb9316; + border-color: #e38d13; +} +.btn-warning.disabled, +.btn-warning[disabled], +fieldset[disabled] .btn-warning, +.btn-warning.disabled:hover, +.btn-warning[disabled]:hover, +fieldset[disabled] .btn-warning:hover, +.btn-warning.disabled:focus, +.btn-warning[disabled]:focus, +fieldset[disabled] .btn-warning:focus, +.btn-warning.disabled.focus, +.btn-warning[disabled].focus, +fieldset[disabled] .btn-warning.focus, +.btn-warning.disabled:active, +.btn-warning[disabled]:active, +fieldset[disabled] .btn-warning:active, +.btn-warning.disabled.active, +.btn-warning[disabled].active, +fieldset[disabled] .btn-warning.active { + background-color: #eb9316; + background-image: none; +} +.btn-danger { + background-image: -webkit-linear-gradient(top, #d9534f 0%, #c12e2a 100%); + background-image: -o-linear-gradient(top, #d9534f 0%, #c12e2a 100%); + background-image: -webkit-gradient(linear, left top, left bottom, from(#d9534f), to(#c12e2a)); + background-image: linear-gradient(to bottom, #d9534f 0%, #c12e2a 100%); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9534f', endColorstr='#ffc12e2a', GradientType=0); + filter: progid:DXImageTransform.Microsoft.gradient(enabled = false); + background-repeat: repeat-x; + border-color: #b92c28; +} +.btn-danger:hover, +.btn-danger:focus { + background-color: #c12e2a; + background-position: 0 -15px; +} +.btn-danger:active, +.btn-danger.active { + background-color: #c12e2a; + border-color: #b92c28; +} +.btn-danger.disabled, +.btn-danger[disabled], +fieldset[disabled] .btn-danger, +.btn-danger.disabled:hover, +.btn-danger[disabled]:hover, +fieldset[disabled] .btn-danger:hover, +.btn-danger.disabled:focus, +.btn-danger[disabled]:focus, +fieldset[disabled] .btn-danger:focus, +.btn-danger.disabled.focus, +.btn-danger[disabled].focus, +fieldset[disabled] .btn-danger.focus, +.btn-danger.disabled:active, +.btn-danger[disabled]:active, +fieldset[disabled] .btn-danger:active, +.btn-danger.disabled.active, +.btn-danger[disabled].active, +fieldset[disabled] .btn-danger.active { + background-color: #c12e2a; + background-image: none; +} +.thumbnail, +.img-thumbnail { + -webkit-box-shadow: 0 1px 2px rgba(0, 0, 0, 0.075); + box-shadow: 0 1px 2px rgba(0, 0, 0, 0.075); +} +.dropdown-menu > li > a:hover, +.dropdown-menu > li > a:focus { + background-image: -webkit-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%); + background-image: -o-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%); + background-image: -webkit-gradient(linear, left top, left bottom, from(#f5f5f5), to(#e8e8e8)); + background-image: linear-gradient(to bottom, #f5f5f5 0%, #e8e8e8 100%); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff5f5f5', endColorstr='#ffe8e8e8', GradientType=0); + background-repeat: repeat-x; + background-color: #e8e8e8; +} +.dropdown-menu > .active > a, +.dropdown-menu > .active > a:hover, +.dropdown-menu > .active > a:focus { + background-image: -webkit-linear-gradient(top, #337ab7 0%, #2e6da4 100%); + background-image: -o-linear-gradient(top, #337ab7 0%, #2e6da4 100%); + background-image: -webkit-gradient(linear, left top, left bottom, from(#337ab7), to(#2e6da4)); + background-image: linear-gradient(to bottom, #337ab7 0%, #2e6da4 100%); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2e6da4', GradientType=0); + background-repeat: repeat-x; + background-color: #2e6da4; +} +.navbar-default { + background-image: -webkit-linear-gradient(top, #ffffff 0%, #f8f8f8 100%); + background-image: -o-linear-gradient(top, #ffffff 0%, #f8f8f8 100%); + background-image: -webkit-gradient(linear, left top, left bottom, from(#ffffff), to(#f8f8f8)); + background-image: linear-gradient(to bottom, #ffffff 0%, #f8f8f8 100%); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffffffff', endColorstr='#fff8f8f8', GradientType=0); + background-repeat: repeat-x; + filter: progid:DXImageTransform.Microsoft.gradient(enabled = false); + border-radius: 4px; + -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.15), 0 1px 5px rgba(0, 0, 0, 0.075); + box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.15), 0 1px 5px rgba(0, 0, 0, 0.075); +} +.navbar-default .navbar-nav > .open > a, +.navbar-default .navbar-nav > .active > a { + background-image: -webkit-linear-gradient(top, #dbdbdb 0%, #e2e2e2 100%); + background-image: -o-linear-gradient(top, #dbdbdb 0%, #e2e2e2 100%); + background-image: -webkit-gradient(linear, left top, left bottom, from(#dbdbdb), to(#e2e2e2)); + background-image: linear-gradient(to bottom, #dbdbdb 0%, #e2e2e2 100%); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffdbdbdb', endColorstr='#ffe2e2e2', GradientType=0); + background-repeat: repeat-x; + -webkit-box-shadow: inset 0 3px 9px rgba(0, 0, 0, 0.075); + box-shadow: inset 0 3px 9px rgba(0, 0, 0, 0.075); +} +.navbar-brand, +.navbar-nav > li > a { + text-shadow: 0 1px 0 rgba(255, 255, 255, 0.25); +} +.navbar-inverse { + background-image: -webkit-linear-gradient(top, #3c3c3c 0%, #222 100%); + background-image: -o-linear-gradient(top, #3c3c3c 0%, #222 100%); + background-image: -webkit-gradient(linear, left top, left bottom, from(#3c3c3c), to(#222)); + background-image: linear-gradient(to bottom, #3c3c3c 0%, #222 100%); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff3c3c3c', endColorstr='#ff222222', GradientType=0); + background-repeat: repeat-x; + filter: progid:DXImageTransform.Microsoft.gradient(enabled = false); + border-radius: 4px; +} +.navbar-inverse .navbar-nav > .open > a, +.navbar-inverse .navbar-nav > .active > a { + background-image: -webkit-linear-gradient(top, #080808 0%, #0f0f0f 100%); + background-image: -o-linear-gradient(top, #080808 0%, #0f0f0f 100%); + background-image: -webkit-gradient(linear, left top, left bottom, from(#080808), to(#0f0f0f)); + background-image: linear-gradient(to bottom, #080808 0%, #0f0f0f 100%); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff080808', endColorstr='#ff0f0f0f', GradientType=0); + background-repeat: repeat-x; + -webkit-box-shadow: inset 0 3px 9px rgba(0, 0, 0, 0.25); + box-shadow: inset 0 3px 9px rgba(0, 0, 0, 0.25); +} +.navbar-inverse .navbar-brand, +.navbar-inverse .navbar-nav > li > a { + text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25); +} +.navbar-static-top, +.navbar-fixed-top, +.navbar-fixed-bottom { + border-radius: 0; +} +@media (max-width: 767px) { + .navbar .navbar-nav .open .dropdown-menu > .active > a, + .navbar .navbar-nav .open .dropdown-menu > .active > a:hover, + .navbar .navbar-nav .open .dropdown-menu > .active > a:focus { + color: #fff; + background-image: -webkit-linear-gradient(top, #337ab7 0%, #2e6da4 100%); + background-image: -o-linear-gradient(top, #337ab7 0%, #2e6da4 100%); + background-image: -webkit-gradient(linear, left top, left bottom, from(#337ab7), to(#2e6da4)); + background-image: linear-gradient(to bottom, #337ab7 0%, #2e6da4 100%); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2e6da4', GradientType=0); + background-repeat: repeat-x; + } +} +.alert { + text-shadow: 0 1px 0 rgba(255, 255, 255, 0.2); + -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.25), 0 1px 2px rgba(0, 0, 0, 0.05); + box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.25), 0 1px 2px rgba(0, 0, 0, 0.05); +} +.alert-success { + background-image: -webkit-linear-gradient(top, #dff0d8 0%, #c8e5bc 100%); + background-image: -o-linear-gradient(top, #dff0d8 0%, #c8e5bc 100%); + background-image: -webkit-gradient(linear, left top, left bottom, from(#dff0d8), to(#c8e5bc)); + background-image: linear-gradient(to bottom, #dff0d8 0%, #c8e5bc 100%); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffdff0d8', endColorstr='#ffc8e5bc', GradientType=0); + background-repeat: repeat-x; + border-color: #b2dba1; +} +.alert-info { + background-image: -webkit-linear-gradient(top, #d9edf7 0%, #b9def0 100%); + background-image: -o-linear-gradient(top, #d9edf7 0%, #b9def0 100%); + background-image: -webkit-gradient(linear, left top, left bottom, from(#d9edf7), to(#b9def0)); + background-image: linear-gradient(to bottom, #d9edf7 0%, #b9def0 100%); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9edf7', endColorstr='#ffb9def0', GradientType=0); + background-repeat: repeat-x; + border-color: #9acfea; +} +.alert-warning { + background-image: -webkit-linear-gradient(top, #fcf8e3 0%, #f8efc0 100%); + background-image: -o-linear-gradient(top, #fcf8e3 0%, #f8efc0 100%); + background-image: -webkit-gradient(linear, left top, left bottom, from(#fcf8e3), to(#f8efc0)); + background-image: linear-gradient(to bottom, #fcf8e3 0%, #f8efc0 100%); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fffcf8e3', endColorstr='#fff8efc0', GradientType=0); + background-repeat: repeat-x; + border-color: #f5e79e; +} +.alert-danger { + background-image: -webkit-linear-gradient(top, #f2dede 0%, #e7c3c3 100%); + background-image: -o-linear-gradient(top, #f2dede 0%, #e7c3c3 100%); + background-image: -webkit-gradient(linear, left top, left bottom, from(#f2dede), to(#e7c3c3)); + background-image: linear-gradient(to bottom, #f2dede 0%, #e7c3c3 100%); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff2dede', endColorstr='#ffe7c3c3', GradientType=0); + background-repeat: repeat-x; + border-color: #dca7a7; +} +.progress { + background-image: -webkit-linear-gradient(top, #ebebeb 0%, #f5f5f5 100%); + background-image: -o-linear-gradient(top, #ebebeb 0%, #f5f5f5 100%); + background-image: -webkit-gradient(linear, left top, left bottom, from(#ebebeb), to(#f5f5f5)); + background-image: linear-gradient(to bottom, #ebebeb 0%, #f5f5f5 100%); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffebebeb', endColorstr='#fff5f5f5', GradientType=0); + background-repeat: repeat-x; +} +.progress-bar { + background-image: -webkit-linear-gradient(top, #337ab7 0%, #286090 100%); + background-image: -o-linear-gradient(top, #337ab7 0%, #286090 100%); + background-image: -webkit-gradient(linear, left top, left bottom, from(#337ab7), to(#286090)); + background-image: linear-gradient(to bottom, #337ab7 0%, #286090 100%); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff286090', GradientType=0); + background-repeat: repeat-x; +} +.progress-bar-success { + background-image: -webkit-linear-gradient(top, #5cb85c 0%, #449d44 100%); + background-image: -o-linear-gradient(top, #5cb85c 0%, #449d44 100%); + background-image: -webkit-gradient(linear, left top, left bottom, from(#5cb85c), to(#449d44)); + background-image: linear-gradient(to bottom, #5cb85c 0%, #449d44 100%); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5cb85c', endColorstr='#ff449d44', GradientType=0); + background-repeat: repeat-x; +} +.progress-bar-info { + background-image: -webkit-linear-gradient(top, #5bc0de 0%, #31b0d5 100%); + background-image: -o-linear-gradient(top, #5bc0de 0%, #31b0d5 100%); + background-image: -webkit-gradient(linear, left top, left bottom, from(#5bc0de), to(#31b0d5)); + background-image: linear-gradient(to bottom, #5bc0de 0%, #31b0d5 100%); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5bc0de', endColorstr='#ff31b0d5', GradientType=0); + background-repeat: repeat-x; +} +.progress-bar-warning { + background-image: -webkit-linear-gradient(top, #f0ad4e 0%, #ec971f 100%); + background-image: -o-linear-gradient(top, #f0ad4e 0%, #ec971f 100%); + background-image: -webkit-gradient(linear, left top, left bottom, from(#f0ad4e), to(#ec971f)); + background-image: linear-gradient(to bottom, #f0ad4e 0%, #ec971f 100%); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff0ad4e', endColorstr='#ffec971f', GradientType=0); + background-repeat: repeat-x; +} +.progress-bar-danger { + background-image: -webkit-linear-gradient(top, #d9534f 0%, #c9302c 100%); + background-image: -o-linear-gradient(top, #d9534f 0%, #c9302c 100%); + background-image: -webkit-gradient(linear, left top, left bottom, from(#d9534f), to(#c9302c)); + background-image: linear-gradient(to bottom, #d9534f 0%, #c9302c 100%); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9534f', endColorstr='#ffc9302c', GradientType=0); + background-repeat: repeat-x; +} +.progress-bar-striped { + background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); + background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); + background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); +} +.list-group { + border-radius: 4px; + -webkit-box-shadow: 0 1px 2px rgba(0, 0, 0, 0.075); + box-shadow: 0 1px 2px rgba(0, 0, 0, 0.075); +} +.list-group-item.active, +.list-group-item.active:hover, +.list-group-item.active:focus { + text-shadow: 0 -1px 0 #286090; + background-image: -webkit-linear-gradient(top, #337ab7 0%, #2b669a 100%); + background-image: -o-linear-gradient(top, #337ab7 0%, #2b669a 100%); + background-image: -webkit-gradient(linear, left top, left bottom, from(#337ab7), to(#2b669a)); + background-image: linear-gradient(to bottom, #337ab7 0%, #2b669a 100%); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2b669a', GradientType=0); + background-repeat: repeat-x; + border-color: #2b669a; +} +.list-group-item.active .badge, +.list-group-item.active:hover .badge, +.list-group-item.active:focus .badge { + text-shadow: none; +} +.panel { + -webkit-box-shadow: 0 1px 2px rgba(0, 0, 0, 0.05); + box-shadow: 0 1px 2px rgba(0, 0, 0, 0.05); +} +.panel-default > .panel-heading { + background-image: -webkit-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%); + background-image: -o-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%); + background-image: -webkit-gradient(linear, left top, left bottom, from(#f5f5f5), to(#e8e8e8)); + background-image: linear-gradient(to bottom, #f5f5f5 0%, #e8e8e8 100%); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff5f5f5', endColorstr='#ffe8e8e8', GradientType=0); + background-repeat: repeat-x; +} +.panel-primary > .panel-heading { + background-image: -webkit-linear-gradient(top, #337ab7 0%, #2e6da4 100%); + background-image: -o-linear-gradient(top, #337ab7 0%, #2e6da4 100%); + background-image: -webkit-gradient(linear, left top, left bottom, from(#337ab7), to(#2e6da4)); + background-image: linear-gradient(to bottom, #337ab7 0%, #2e6da4 100%); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2e6da4', GradientType=0); + background-repeat: repeat-x; +} +.panel-success > .panel-heading { + background-image: -webkit-linear-gradient(top, #dff0d8 0%, #d0e9c6 100%); + background-image: -o-linear-gradient(top, #dff0d8 0%, #d0e9c6 100%); + background-image: -webkit-gradient(linear, left top, left bottom, from(#dff0d8), to(#d0e9c6)); + background-image: linear-gradient(to bottom, #dff0d8 0%, #d0e9c6 100%); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffdff0d8', endColorstr='#ffd0e9c6', GradientType=0); + background-repeat: repeat-x; +} +.panel-info > .panel-heading { + background-image: -webkit-linear-gradient(top, #d9edf7 0%, #c4e3f3 100%); + background-image: -o-linear-gradient(top, #d9edf7 0%, #c4e3f3 100%); + background-image: -webkit-gradient(linear, left top, left bottom, from(#d9edf7), to(#c4e3f3)); + background-image: linear-gradient(to bottom, #d9edf7 0%, #c4e3f3 100%); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9edf7', endColorstr='#ffc4e3f3', GradientType=0); + background-repeat: repeat-x; +} +.panel-warning > .panel-heading { + background-image: -webkit-linear-gradient(top, #fcf8e3 0%, #faf2cc 100%); + background-image: -o-linear-gradient(top, #fcf8e3 0%, #faf2cc 100%); + background-image: -webkit-gradient(linear, left top, left bottom, from(#fcf8e3), to(#faf2cc)); + background-image: linear-gradient(to bottom, #fcf8e3 0%, #faf2cc 100%); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fffcf8e3', endColorstr='#fffaf2cc', GradientType=0); + background-repeat: repeat-x; +} +.panel-danger > .panel-heading { + background-image: -webkit-linear-gradient(top, #f2dede 0%, #ebcccc 100%); + background-image: -o-linear-gradient(top, #f2dede 0%, #ebcccc 100%); + background-image: -webkit-gradient(linear, left top, left bottom, from(#f2dede), to(#ebcccc)); + background-image: linear-gradient(to bottom, #f2dede 0%, #ebcccc 100%); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff2dede', endColorstr='#ffebcccc', GradientType=0); + background-repeat: repeat-x; +} +.well { + background-image: -webkit-linear-gradient(top, #e8e8e8 0%, #f5f5f5 100%); + background-image: -o-linear-gradient(top, #e8e8e8 0%, #f5f5f5 100%); + background-image: -webkit-gradient(linear, left top, left bottom, from(#e8e8e8), to(#f5f5f5)); + background-image: linear-gradient(to bottom, #e8e8e8 0%, #f5f5f5 100%); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffe8e8e8', endColorstr='#fff5f5f5', GradientType=0); + background-repeat: repeat-x; + border-color: #dcdcdc; + -webkit-box-shadow: inset 0 1px 3px rgba(0, 0, 0, 0.05), 0 1px 0 rgba(255, 255, 255, 0.1); + box-shadow: inset 0 1px 3px rgba(0, 0, 0, 0.05), 0 1px 0 rgba(255, 255, 255, 0.1); +} +/*# sourceMappingURL=bootstrap-theme.css.map */ \ No newline at end of file diff --git a/docs/build/html/_static/bootstrap-3.4.1/css/bootstrap-theme.css.map b/docs/build/html/_static/bootstrap-3.4.1/css/bootstrap-theme.css.map new file mode 100644 index 00000000..949d0973 --- /dev/null +++ b/docs/build/html/_static/bootstrap-3.4.1/css/bootstrap-theme.css.map @@ -0,0 +1 @@ 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* Bootstrap v3.4.1 (https://getbootstrap.com/)\n * Copyright 2011-2019 Twitter, Inc.\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)\n */\n.btn-default,\n.btn-primary,\n.btn-success,\n.btn-info,\n.btn-warning,\n.btn-danger {\n text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.2);\n -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.15), 0 1px 1px rgba(0, 0, 0, 0.075);\n box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.15), 0 1px 1px rgba(0, 0, 0, 0.075);\n}\n.btn-default:active,\n.btn-primary:active,\n.btn-success:active,\n.btn-info:active,\n.btn-warning:active,\n.btn-danger:active,\n.btn-default.active,\n.btn-primary.active,\n.btn-success.active,\n.btn-info.active,\n.btn-warning.active,\n.btn-danger.active {\n -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n}\n.btn-default.disabled,\n.btn-primary.disabled,\n.btn-success.disabled,\n.btn-info.disabled,\n.btn-warning.disabled,\n.btn-danger.disabled,\n.btn-default[disabled],\n.btn-primary[disabled],\n.btn-success[disabled],\n.btn-info[disabled],\n.btn-warning[disabled],\n.btn-danger[disabled],\nfieldset[disabled] .btn-default,\nfieldset[disabled] .btn-primary,\nfieldset[disabled] .btn-success,\nfieldset[disabled] .btn-info,\nfieldset[disabled] .btn-warning,\nfieldset[disabled] .btn-danger {\n -webkit-box-shadow: none;\n box-shadow: none;\n}\n.btn-default .badge,\n.btn-primary .badge,\n.btn-success .badge,\n.btn-info .badge,\n.btn-warning .badge,\n.btn-danger .badge {\n text-shadow: none;\n}\n.btn:active,\n.btn.active {\n background-image: none;\n}\n.btn-default {\n background-image: -webkit-linear-gradient(top, #fff 0%, #e0e0e0 100%);\n background-image: -o-linear-gradient(top, #fff 0%, #e0e0e0 100%);\n background-image: linear-gradient(to bottom, #fff 0%, #e0e0e0 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffffffff', endColorstr='#ffe0e0e0', GradientType=0);\n filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n background-repeat: repeat-x;\n border-color: #dbdbdb;\n text-shadow: 0 1px 0 #fff;\n border-color: #ccc;\n}\n.btn-default:hover,\n.btn-default:focus {\n background-color: #e0e0e0;\n background-position: 0 -15px;\n}\n.btn-default:active,\n.btn-default.active {\n background-color: #e0e0e0;\n border-color: #dbdbdb;\n}\n.btn-default.disabled,\n.btn-default[disabled],\nfieldset[disabled] .btn-default,\n.btn-default.disabled:hover,\n.btn-default[disabled]:hover,\nfieldset[disabled] .btn-default:hover,\n.btn-default.disabled:focus,\n.btn-default[disabled]:focus,\nfieldset[disabled] .btn-default:focus,\n.btn-default.disabled.focus,\n.btn-default[disabled].focus,\nfieldset[disabled] .btn-default.focus,\n.btn-default.disabled:active,\n.btn-default[disabled]:active,\nfieldset[disabled] .btn-default:active,\n.btn-default.disabled.active,\n.btn-default[disabled].active,\nfieldset[disabled] .btn-default.active {\n background-color: #e0e0e0;\n background-image: none;\n}\n.btn-primary {\n background-image: -webkit-linear-gradient(top, #337ab7 0%, #265a88 100%);\n background-image: -o-linear-gradient(top, #337ab7 0%, #265a88 100%);\n background-image: linear-gradient(to bottom, #337ab7 0%, #265a88 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff265a88', GradientType=0);\n filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n background-repeat: repeat-x;\n border-color: #245580;\n}\n.btn-primary:hover,\n.btn-primary:focus {\n background-color: #265a88;\n background-position: 0 -15px;\n}\n.btn-primary:active,\n.btn-primary.active {\n background-color: #265a88;\n border-color: #245580;\n}\n.btn-primary.disabled,\n.btn-primary[disabled],\nfieldset[disabled] .btn-primary,\n.btn-primary.disabled:hover,\n.btn-primary[disabled]:hover,\nfieldset[disabled] .btn-primary:hover,\n.btn-primary.disabled:focus,\n.btn-primary[disabled]:focus,\nfieldset[disabled] .btn-primary:focus,\n.btn-primary.disabled.focus,\n.btn-primary[disabled].focus,\nfieldset[disabled] .btn-primary.focus,\n.btn-primary.disabled:active,\n.btn-primary[disabled]:active,\nfieldset[disabled] .btn-primary:active,\n.btn-primary.disabled.active,\n.btn-primary[disabled].active,\nfieldset[disabled] .btn-primary.active {\n background-color: #265a88;\n background-image: none;\n}\n.btn-success {\n background-image: -webkit-linear-gradient(top, #5cb85c 0%, #419641 100%);\n background-image: -o-linear-gradient(top, #5cb85c 0%, #419641 100%);\n background-image: linear-gradient(to bottom, #5cb85c 0%, #419641 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5cb85c', endColorstr='#ff419641', GradientType=0);\n filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n background-repeat: repeat-x;\n border-color: #3e8f3e;\n}\n.btn-success:hover,\n.btn-success:focus {\n background-color: #419641;\n background-position: 0 -15px;\n}\n.btn-success:active,\n.btn-success.active {\n background-color: #419641;\n border-color: #3e8f3e;\n}\n.btn-success.disabled,\n.btn-success[disabled],\nfieldset[disabled] .btn-success,\n.btn-success.disabled:hover,\n.btn-success[disabled]:hover,\nfieldset[disabled] .btn-success:hover,\n.btn-success.disabled:focus,\n.btn-success[disabled]:focus,\nfieldset[disabled] .btn-success:focus,\n.btn-success.disabled.focus,\n.btn-success[disabled].focus,\nfieldset[disabled] .btn-success.focus,\n.btn-success.disabled:active,\n.btn-success[disabled]:active,\nfieldset[disabled] .btn-success:active,\n.btn-success.disabled.active,\n.btn-success[disabled].active,\nfieldset[disabled] .btn-success.active {\n background-color: #419641;\n background-image: none;\n}\n.btn-info {\n background-image: -webkit-linear-gradient(top, #5bc0de 0%, #2aabd2 100%);\n background-image: -o-linear-gradient(top, #5bc0de 0%, #2aabd2 100%);\n background-image: linear-gradient(to bottom, #5bc0de 0%, #2aabd2 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5bc0de', endColorstr='#ff2aabd2', GradientType=0);\n filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n background-repeat: repeat-x;\n border-color: #28a4c9;\n}\n.btn-info:hover,\n.btn-info:focus {\n background-color: #2aabd2;\n background-position: 0 -15px;\n}\n.btn-info:active,\n.btn-info.active {\n background-color: #2aabd2;\n border-color: #28a4c9;\n}\n.btn-info.disabled,\n.btn-info[disabled],\nfieldset[disabled] .btn-info,\n.btn-info.disabled:hover,\n.btn-info[disabled]:hover,\nfieldset[disabled] .btn-info:hover,\n.btn-info.disabled:focus,\n.btn-info[disabled]:focus,\nfieldset[disabled] .btn-info:focus,\n.btn-info.disabled.focus,\n.btn-info[disabled].focus,\nfieldset[disabled] .btn-info.focus,\n.btn-info.disabled:active,\n.btn-info[disabled]:active,\nfieldset[disabled] .btn-info:active,\n.btn-info.disabled.active,\n.btn-info[disabled].active,\nfieldset[disabled] .btn-info.active {\n background-color: #2aabd2;\n background-image: none;\n}\n.btn-warning {\n background-image: -webkit-linear-gradient(top, #f0ad4e 0%, #eb9316 100%);\n background-image: -o-linear-gradient(top, #f0ad4e 0%, #eb9316 100%);\n background-image: linear-gradient(to bottom, #f0ad4e 0%, #eb9316 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff0ad4e', endColorstr='#ffeb9316', GradientType=0);\n filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n background-repeat: repeat-x;\n border-color: #e38d13;\n}\n.btn-warning:hover,\n.btn-warning:focus {\n background-color: #eb9316;\n background-position: 0 -15px;\n}\n.btn-warning:active,\n.btn-warning.active {\n background-color: #eb9316;\n border-color: #e38d13;\n}\n.btn-warning.disabled,\n.btn-warning[disabled],\nfieldset[disabled] .btn-warning,\n.btn-warning.disabled:hover,\n.btn-warning[disabled]:hover,\nfieldset[disabled] .btn-warning:hover,\n.btn-warning.disabled:focus,\n.btn-warning[disabled]:focus,\nfieldset[disabled] .btn-warning:focus,\n.btn-warning.disabled.focus,\n.btn-warning[disabled].focus,\nfieldset[disabled] .btn-warning.focus,\n.btn-warning.disabled:active,\n.btn-warning[disabled]:active,\nfieldset[disabled] .btn-warning:active,\n.btn-warning.disabled.active,\n.btn-warning[disabled].active,\nfieldset[disabled] .btn-warning.active {\n background-color: #eb9316;\n background-image: none;\n}\n.btn-danger {\n background-image: -webkit-linear-gradient(top, #d9534f 0%, #c12e2a 100%);\n background-image: -o-linear-gradient(top, #d9534f 0%, #c12e2a 100%);\n background-image: linear-gradient(to bottom, #d9534f 0%, #c12e2a 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9534f', endColorstr='#ffc12e2a', GradientType=0);\n filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n background-repeat: repeat-x;\n border-color: #b92c28;\n}\n.btn-danger:hover,\n.btn-danger:focus {\n background-color: #c12e2a;\n background-position: 0 -15px;\n}\n.btn-danger:active,\n.btn-danger.active {\n background-color: #c12e2a;\n border-color: #b92c28;\n}\n.btn-danger.disabled,\n.btn-danger[disabled],\nfieldset[disabled] .btn-danger,\n.btn-danger.disabled:hover,\n.btn-danger[disabled]:hover,\nfieldset[disabled] .btn-danger:hover,\n.btn-danger.disabled:focus,\n.btn-danger[disabled]:focus,\nfieldset[disabled] .btn-danger:focus,\n.btn-danger.disabled.focus,\n.btn-danger[disabled].focus,\nfieldset[disabled] .btn-danger.focus,\n.btn-danger.disabled:active,\n.btn-danger[disabled]:active,\nfieldset[disabled] .btn-danger:active,\n.btn-danger.disabled.active,\n.btn-danger[disabled].active,\nfieldset[disabled] .btn-danger.active {\n background-color: #c12e2a;\n background-image: none;\n}\n.thumbnail,\n.img-thumbnail {\n -webkit-box-shadow: 0 1px 2px rgba(0, 0, 0, 0.075);\n box-shadow: 0 1px 2px rgba(0, 0, 0, 0.075);\n}\n.dropdown-menu > li > a:hover,\n.dropdown-menu > li > a:focus {\n background-image: -webkit-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%);\n background-image: -o-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%);\n background-image: linear-gradient(to bottom, #f5f5f5 0%, #e8e8e8 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff5f5f5', endColorstr='#ffe8e8e8', GradientType=0);\n background-repeat: repeat-x;\n background-color: #e8e8e8;\n}\n.dropdown-menu > .active > a,\n.dropdown-menu > .active > a:hover,\n.dropdown-menu > .active > a:focus {\n background-image: -webkit-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n background-image: -o-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n background-image: linear-gradient(to bottom, #337ab7 0%, #2e6da4 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2e6da4', GradientType=0);\n background-repeat: repeat-x;\n background-color: #2e6da4;\n}\n.navbar-default {\n background-image: -webkit-linear-gradient(top, #ffffff 0%, #f8f8f8 100%);\n background-image: -o-linear-gradient(top, #ffffff 0%, #f8f8f8 100%);\n background-image: linear-gradient(to bottom, #ffffff 0%, #f8f8f8 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffffffff', endColorstr='#fff8f8f8', GradientType=0);\n background-repeat: repeat-x;\n filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n border-radius: 4px;\n -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.15), 0 1px 5px rgba(0, 0, 0, 0.075);\n box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.15), 0 1px 5px rgba(0, 0, 0, 0.075);\n}\n.navbar-default .navbar-nav > .open > a,\n.navbar-default .navbar-nav > .active > a {\n background-image: -webkit-linear-gradient(top, #dbdbdb 0%, #e2e2e2 100%);\n background-image: -o-linear-gradient(top, #dbdbdb 0%, #e2e2e2 100%);\n background-image: linear-gradient(to bottom, #dbdbdb 0%, #e2e2e2 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffdbdbdb', endColorstr='#ffe2e2e2', GradientType=0);\n background-repeat: repeat-x;\n -webkit-box-shadow: inset 0 3px 9px rgba(0, 0, 0, 0.075);\n box-shadow: inset 0 3px 9px rgba(0, 0, 0, 0.075);\n}\n.navbar-brand,\n.navbar-nav > li > a {\n text-shadow: 0 1px 0 rgba(255, 255, 255, 0.25);\n}\n.navbar-inverse {\n background-image: -webkit-linear-gradient(top, #3c3c3c 0%, #222 100%);\n background-image: -o-linear-gradient(top, #3c3c3c 0%, #222 100%);\n background-image: linear-gradient(to bottom, #3c3c3c 0%, #222 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff3c3c3c', endColorstr='#ff222222', GradientType=0);\n background-repeat: repeat-x;\n filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n border-radius: 4px;\n}\n.navbar-inverse .navbar-nav > .open > a,\n.navbar-inverse .navbar-nav > .active > a {\n background-image: -webkit-linear-gradient(top, #080808 0%, #0f0f0f 100%);\n background-image: -o-linear-gradient(top, #080808 0%, #0f0f0f 100%);\n background-image: linear-gradient(to bottom, #080808 0%, #0f0f0f 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff080808', endColorstr='#ff0f0f0f', GradientType=0);\n background-repeat: repeat-x;\n -webkit-box-shadow: inset 0 3px 9px rgba(0, 0, 0, 0.25);\n box-shadow: inset 0 3px 9px rgba(0, 0, 0, 0.25);\n}\n.navbar-inverse .navbar-brand,\n.navbar-inverse .navbar-nav > li > a {\n text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25);\n}\n.navbar-static-top,\n.navbar-fixed-top,\n.navbar-fixed-bottom {\n border-radius: 0;\n}\n@media (max-width: 767px) {\n .navbar .navbar-nav .open .dropdown-menu > .active > a,\n .navbar .navbar-nav .open .dropdown-menu > .active > a:hover,\n .navbar .navbar-nav .open .dropdown-menu > .active > a:focus {\n color: #fff;\n background-image: -webkit-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n background-image: -o-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n background-image: linear-gradient(to bottom, #337ab7 0%, #2e6da4 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2e6da4', GradientType=0);\n background-repeat: repeat-x;\n }\n}\n.alert {\n text-shadow: 0 1px 0 rgba(255, 255, 255, 0.2);\n -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.25), 0 1px 2px rgba(0, 0, 0, 0.05);\n box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.25), 0 1px 2px rgba(0, 0, 0, 0.05);\n}\n.alert-success {\n background-image: -webkit-linear-gradient(top, #dff0d8 0%, #c8e5bc 100%);\n background-image: -o-linear-gradient(top, #dff0d8 0%, #c8e5bc 100%);\n background-image: linear-gradient(to bottom, #dff0d8 0%, #c8e5bc 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffdff0d8', endColorstr='#ffc8e5bc', GradientType=0);\n background-repeat: repeat-x;\n border-color: #b2dba1;\n}\n.alert-info {\n background-image: -webkit-linear-gradient(top, #d9edf7 0%, #b9def0 100%);\n background-image: -o-linear-gradient(top, #d9edf7 0%, #b9def0 100%);\n background-image: linear-gradient(to bottom, #d9edf7 0%, #b9def0 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9edf7', endColorstr='#ffb9def0', GradientType=0);\n background-repeat: repeat-x;\n border-color: #9acfea;\n}\n.alert-warning {\n background-image: -webkit-linear-gradient(top, #fcf8e3 0%, #f8efc0 100%);\n background-image: -o-linear-gradient(top, #fcf8e3 0%, #f8efc0 100%);\n background-image: linear-gradient(to bottom, #fcf8e3 0%, #f8efc0 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fffcf8e3', endColorstr='#fff8efc0', GradientType=0);\n background-repeat: repeat-x;\n border-color: #f5e79e;\n}\n.alert-danger {\n background-image: -webkit-linear-gradient(top, #f2dede 0%, #e7c3c3 100%);\n background-image: -o-linear-gradient(top, #f2dede 0%, #e7c3c3 100%);\n background-image: linear-gradient(to bottom, #f2dede 0%, #e7c3c3 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff2dede', endColorstr='#ffe7c3c3', GradientType=0);\n background-repeat: repeat-x;\n border-color: #dca7a7;\n}\n.progress {\n background-image: -webkit-linear-gradient(top, #ebebeb 0%, #f5f5f5 100%);\n background-image: -o-linear-gradient(top, #ebebeb 0%, #f5f5f5 100%);\n background-image: linear-gradient(to bottom, #ebebeb 0%, #f5f5f5 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffebebeb', endColorstr='#fff5f5f5', GradientType=0);\n background-repeat: repeat-x;\n}\n.progress-bar {\n background-image: -webkit-linear-gradient(top, #337ab7 0%, #286090 100%);\n background-image: -o-linear-gradient(top, #337ab7 0%, #286090 100%);\n background-image: linear-gradient(to bottom, #337ab7 0%, #286090 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff286090', GradientType=0);\n background-repeat: repeat-x;\n}\n.progress-bar-success {\n background-image: -webkit-linear-gradient(top, #5cb85c 0%, #449d44 100%);\n background-image: -o-linear-gradient(top, #5cb85c 0%, #449d44 100%);\n background-image: linear-gradient(to bottom, #5cb85c 0%, #449d44 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5cb85c', endColorstr='#ff449d44', GradientType=0);\n background-repeat: repeat-x;\n}\n.progress-bar-info {\n background-image: -webkit-linear-gradient(top, #5bc0de 0%, #31b0d5 100%);\n background-image: -o-linear-gradient(top, #5bc0de 0%, #31b0d5 100%);\n background-image: linear-gradient(to bottom, #5bc0de 0%, #31b0d5 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5bc0de', endColorstr='#ff31b0d5', GradientType=0);\n background-repeat: repeat-x;\n}\n.progress-bar-warning {\n background-image: -webkit-linear-gradient(top, #f0ad4e 0%, #ec971f 100%);\n background-image: -o-linear-gradient(top, #f0ad4e 0%, #ec971f 100%);\n background-image: linear-gradient(to bottom, #f0ad4e 0%, #ec971f 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff0ad4e', endColorstr='#ffec971f', GradientType=0);\n background-repeat: repeat-x;\n}\n.progress-bar-danger {\n background-image: -webkit-linear-gradient(top, #d9534f 0%, #c9302c 100%);\n background-image: -o-linear-gradient(top, #d9534f 0%, #c9302c 100%);\n background-image: linear-gradient(to bottom, #d9534f 0%, #c9302c 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9534f', endColorstr='#ffc9302c', GradientType=0);\n background-repeat: repeat-x;\n}\n.progress-bar-striped {\n background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n}\n.list-group {\n border-radius: 4px;\n -webkit-box-shadow: 0 1px 2px rgba(0, 0, 0, 0.075);\n box-shadow: 0 1px 2px rgba(0, 0, 0, 0.075);\n}\n.list-group-item.active,\n.list-group-item.active:hover,\n.list-group-item.active:focus {\n text-shadow: 0 -1px 0 #286090;\n background-image: -webkit-linear-gradient(top, #337ab7 0%, #2b669a 100%);\n background-image: -o-linear-gradient(top, #337ab7 0%, #2b669a 100%);\n background-image: linear-gradient(to bottom, #337ab7 0%, #2b669a 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2b669a', GradientType=0);\n background-repeat: repeat-x;\n border-color: #2b669a;\n}\n.list-group-item.active .badge,\n.list-group-item.active:hover .badge,\n.list-group-item.active:focus .badge {\n text-shadow: none;\n}\n.panel {\n -webkit-box-shadow: 0 1px 2px rgba(0, 0, 0, 0.05);\n box-shadow: 0 1px 2px rgba(0, 0, 0, 0.05);\n}\n.panel-default > .panel-heading {\n background-image: -webkit-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%);\n background-image: -o-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%);\n background-image: linear-gradient(to bottom, #f5f5f5 0%, #e8e8e8 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff5f5f5', endColorstr='#ffe8e8e8', GradientType=0);\n background-repeat: repeat-x;\n}\n.panel-primary > .panel-heading {\n background-image: -webkit-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n background-image: -o-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n background-image: linear-gradient(to bottom, #337ab7 0%, #2e6da4 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2e6da4', GradientType=0);\n background-repeat: repeat-x;\n}\n.panel-success > .panel-heading {\n background-image: -webkit-linear-gradient(top, #dff0d8 0%, #d0e9c6 100%);\n background-image: -o-linear-gradient(top, #dff0d8 0%, #d0e9c6 100%);\n background-image: linear-gradient(to bottom, #dff0d8 0%, #d0e9c6 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffdff0d8', endColorstr='#ffd0e9c6', GradientType=0);\n background-repeat: repeat-x;\n}\n.panel-info > .panel-heading {\n background-image: -webkit-linear-gradient(top, #d9edf7 0%, #c4e3f3 100%);\n background-image: -o-linear-gradient(top, #d9edf7 0%, #c4e3f3 100%);\n background-image: linear-gradient(to bottom, #d9edf7 0%, #c4e3f3 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9edf7', endColorstr='#ffc4e3f3', GradientType=0);\n background-repeat: repeat-x;\n}\n.panel-warning > .panel-heading {\n background-image: -webkit-linear-gradient(top, #fcf8e3 0%, #faf2cc 100%);\n background-image: -o-linear-gradient(top, #fcf8e3 0%, #faf2cc 100%);\n background-image: linear-gradient(to bottom, #fcf8e3 0%, #faf2cc 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fffcf8e3', endColorstr='#fffaf2cc', GradientType=0);\n background-repeat: repeat-x;\n}\n.panel-danger > .panel-heading {\n background-image: -webkit-linear-gradient(top, #f2dede 0%, #ebcccc 100%);\n background-image: -o-linear-gradient(top, #f2dede 0%, #ebcccc 100%);\n background-image: linear-gradient(to bottom, #f2dede 0%, #ebcccc 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff2dede', endColorstr='#ffebcccc', GradientType=0);\n background-repeat: repeat-x;\n}\n.well {\n background-image: -webkit-linear-gradient(top, #e8e8e8 0%, #f5f5f5 100%);\n background-image: -o-linear-gradient(top, #e8e8e8 0%, #f5f5f5 100%);\n background-image: linear-gradient(to bottom, #e8e8e8 0%, #f5f5f5 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffe8e8e8', endColorstr='#fff5f5f5', GradientType=0);\n background-repeat: repeat-x;\n border-color: #dcdcdc;\n -webkit-box-shadow: inset 0 1px 3px rgba(0, 0, 0, 0.05), 0 1px 0 rgba(255, 255, 255, 0.1);\n box-shadow: inset 0 1px 3px rgba(0, 0, 0, 0.05), 0 1px 0 rgba(255, 255, 255, 0.1);\n}\n/*# sourceMappingURL=bootstrap-theme.css.map */","// stylelint-disable selector-no-qualifying-type, selector-max-compound-selectors\n\n/*!\n * Bootstrap v3.4.1 (https://getbootstrap.com/)\n * Copyright 2011-2019 Twitter, Inc.\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)\n */\n\n//\n// Load core variables and mixins\n// --------------------------------------------------\n\n@import \"variables.less\";\n@import \"mixins.less\";\n\n\n//\n// Buttons\n// --------------------------------------------------\n\n// Common styles\n.btn-default,\n.btn-primary,\n.btn-success,\n.btn-info,\n.btn-warning,\n.btn-danger {\n text-shadow: 0 -1px 0 rgba(0, 0, 0, .2);\n @shadow: inset 0 1px 0 rgba(255, 255, 255, .15), 0 1px 1px rgba(0, 0, 0, .075);\n .box-shadow(@shadow);\n\n // Reset the shadow\n &:active,\n &.active {\n .box-shadow(inset 0 3px 5px rgba(0, 0, 0, .125));\n }\n\n &.disabled,\n &[disabled],\n fieldset[disabled] & {\n .box-shadow(none);\n }\n\n .badge {\n text-shadow: none;\n }\n}\n\n// Mixin for generating new styles\n.btn-styles(@btn-color: #555) {\n #gradient > .vertical(@start-color: @btn-color; @end-color: darken(@btn-color, 12%));\n .reset-filter(); // Disable gradients for IE9 because filter bleeds through rounded corners; see https://github.com/twbs/bootstrap/issues/10620\n background-repeat: repeat-x;\n border-color: darken(@btn-color, 14%);\n\n &:hover,\n &:focus {\n background-color: darken(@btn-color, 12%);\n background-position: 0 -15px;\n }\n\n &:active,\n &.active {\n background-color: darken(@btn-color, 12%);\n border-color: darken(@btn-color, 14%);\n }\n\n &.disabled,\n &[disabled],\n fieldset[disabled] & {\n &,\n &:hover,\n &:focus,\n &.focus,\n &:active,\n &.active {\n background-color: darken(@btn-color, 12%);\n background-image: none;\n }\n }\n}\n\n// Common styles\n.btn {\n // Remove the gradient for the pressed/active state\n &:active,\n &.active {\n background-image: none;\n }\n}\n\n// Apply the mixin to the buttons\n.btn-default {\n .btn-styles(@btn-default-bg);\n text-shadow: 0 1px 0 #fff;\n border-color: #ccc;\n}\n.btn-primary { .btn-styles(@btn-primary-bg); }\n.btn-success { .btn-styles(@btn-success-bg); }\n.btn-info { .btn-styles(@btn-info-bg); }\n.btn-warning { .btn-styles(@btn-warning-bg); }\n.btn-danger { .btn-styles(@btn-danger-bg); }\n\n\n//\n// Images\n// --------------------------------------------------\n\n.thumbnail,\n.img-thumbnail {\n .box-shadow(0 1px 2px rgba(0, 0, 0, .075));\n}\n\n\n//\n// Dropdowns\n// --------------------------------------------------\n\n.dropdown-menu > li > a:hover,\n.dropdown-menu > li > a:focus {\n #gradient > .vertical(@start-color: @dropdown-link-hover-bg; @end-color: darken(@dropdown-link-hover-bg, 5%));\n background-color: darken(@dropdown-link-hover-bg, 5%);\n}\n.dropdown-menu > .active > a,\n.dropdown-menu > .active > a:hover,\n.dropdown-menu > .active > a:focus {\n #gradient > .vertical(@start-color: @dropdown-link-active-bg; @end-color: darken(@dropdown-link-active-bg, 5%));\n background-color: darken(@dropdown-link-active-bg, 5%);\n}\n\n\n//\n// Navbar\n// --------------------------------------------------\n\n// Default navbar\n.navbar-default {\n #gradient > .vertical(@start-color: lighten(@navbar-default-bg, 10%); @end-color: @navbar-default-bg);\n .reset-filter(); // Remove gradient in IE<10 to fix bug where dropdowns don't get triggered\n border-radius: @navbar-border-radius;\n @shadow: inset 0 1px 0 rgba(255, 255, 255, .15), 0 1px 5px rgba(0, 0, 0, .075);\n .box-shadow(@shadow);\n\n .navbar-nav > .open > a,\n .navbar-nav > .active > a {\n #gradient > .vertical(@start-color: darken(@navbar-default-link-active-bg, 5%); @end-color: darken(@navbar-default-link-active-bg, 2%));\n .box-shadow(inset 0 3px 9px rgba(0, 0, 0, .075));\n }\n}\n.navbar-brand,\n.navbar-nav > li > a {\n text-shadow: 0 1px 0 rgba(255, 255, 255, .25);\n}\n\n// Inverted navbar\n.navbar-inverse {\n #gradient > .vertical(@start-color: lighten(@navbar-inverse-bg, 10%); @end-color: @navbar-inverse-bg);\n .reset-filter(); // Remove gradient in IE<10 to fix bug where dropdowns don't get triggered; see https://github.com/twbs/bootstrap/issues/10257\n border-radius: @navbar-border-radius;\n .navbar-nav > .open > a,\n .navbar-nav > .active > a {\n #gradient > .vertical(@start-color: @navbar-inverse-link-active-bg; @end-color: lighten(@navbar-inverse-link-active-bg, 2.5%));\n .box-shadow(inset 0 3px 9px rgba(0, 0, 0, .25));\n }\n\n .navbar-brand,\n .navbar-nav > li > a {\n text-shadow: 0 -1px 0 rgba(0, 0, 0, .25);\n }\n}\n\n// Undo rounded corners in static and fixed navbars\n.navbar-static-top,\n.navbar-fixed-top,\n.navbar-fixed-bottom {\n border-radius: 0;\n}\n\n// Fix active state of dropdown items in collapsed mode\n@media (max-width: @grid-float-breakpoint-max) {\n .navbar .navbar-nav .open .dropdown-menu > .active > a {\n &,\n &:hover,\n &:focus {\n color: #fff;\n #gradient > .vertical(@start-color: @dropdown-link-active-bg; @end-color: darken(@dropdown-link-active-bg, 5%));\n }\n }\n}\n\n\n//\n// Alerts\n// --------------------------------------------------\n\n// Common styles\n.alert {\n text-shadow: 0 1px 0 rgba(255, 255, 255, .2);\n @shadow: inset 0 1px 0 rgba(255, 255, 255, .25), 0 1px 2px rgba(0, 0, 0, .05);\n .box-shadow(@shadow);\n}\n\n// Mixin for generating new styles\n.alert-styles(@color) {\n #gradient > .vertical(@start-color: @color; @end-color: darken(@color, 7.5%));\n border-color: darken(@color, 15%);\n}\n\n// Apply the mixin to the alerts\n.alert-success { .alert-styles(@alert-success-bg); }\n.alert-info { .alert-styles(@alert-info-bg); }\n.alert-warning { .alert-styles(@alert-warning-bg); }\n.alert-danger { .alert-styles(@alert-danger-bg); }\n\n\n//\n// Progress bars\n// --------------------------------------------------\n\n// Give the progress background some depth\n.progress {\n #gradient > .vertical(@start-color: darken(@progress-bg, 4%); @end-color: @progress-bg)\n}\n\n// Mixin for generating new styles\n.progress-bar-styles(@color) {\n #gradient > .vertical(@start-color: @color; @end-color: darken(@color, 10%));\n}\n\n// Apply the mixin to the progress bars\n.progress-bar { .progress-bar-styles(@progress-bar-bg); }\n.progress-bar-success { .progress-bar-styles(@progress-bar-success-bg); }\n.progress-bar-info { .progress-bar-styles(@progress-bar-info-bg); }\n.progress-bar-warning { .progress-bar-styles(@progress-bar-warning-bg); }\n.progress-bar-danger { .progress-bar-styles(@progress-bar-danger-bg); }\n\n// Reset the striped class because our mixins don't do multiple gradients and\n// the above custom styles override the new `.progress-bar-striped` in v3.2.0.\n.progress-bar-striped {\n #gradient > .striped();\n}\n\n\n//\n// List groups\n// --------------------------------------------------\n\n.list-group {\n border-radius: @border-radius-base;\n .box-shadow(0 1px 2px rgba(0, 0, 0, .075));\n}\n.list-group-item.active,\n.list-group-item.active:hover,\n.list-group-item.active:focus {\n text-shadow: 0 -1px 0 darken(@list-group-active-bg, 10%);\n #gradient > .vertical(@start-color: @list-group-active-bg; @end-color: darken(@list-group-active-bg, 7.5%));\n border-color: darken(@list-group-active-border, 7.5%);\n\n .badge {\n text-shadow: none;\n }\n}\n\n\n//\n// Panels\n// --------------------------------------------------\n\n// Common styles\n.panel {\n .box-shadow(0 1px 2px rgba(0, 0, 0, .05));\n}\n\n// Mixin for generating new styles\n.panel-heading-styles(@color) {\n #gradient > .vertical(@start-color: @color; @end-color: darken(@color, 5%));\n}\n\n// Apply the mixin to the panel headings only\n.panel-default > .panel-heading { .panel-heading-styles(@panel-default-heading-bg); }\n.panel-primary > .panel-heading { .panel-heading-styles(@panel-primary-heading-bg); }\n.panel-success > .panel-heading { .panel-heading-styles(@panel-success-heading-bg); }\n.panel-info > .panel-heading { .panel-heading-styles(@panel-info-heading-bg); }\n.panel-warning > .panel-heading { .panel-heading-styles(@panel-warning-heading-bg); }\n.panel-danger > .panel-heading { .panel-heading-styles(@panel-danger-heading-bg); }\n\n\n//\n// Wells\n// --------------------------------------------------\n\n.well {\n #gradient > .vertical(@start-color: darken(@well-bg, 5%); @end-color: @well-bg);\n border-color: darken(@well-bg, 10%);\n @shadow: inset 0 1px 3px rgba(0, 0, 0, .05), 0 1px 0 rgba(255, 255, 255, .1);\n .box-shadow(@shadow);\n}\n","// stylelint-disable indentation, property-no-vendor-prefix, selector-no-vendor-prefix\n\n// Vendor Prefixes\n//\n// All vendor mixins are deprecated as of v3.2.0 due to the introduction of\n// Autoprefixer in our Gruntfile. They have been removed in v4.\n\n// - Animations\n// - Backface visibility\n// - Box shadow\n// - Box sizing\n// - Content columns\n// - Hyphens\n// - Placeholder text\n// - Transformations\n// - Transitions\n// - User Select\n\n\n// Animations\n.animation(@animation) {\n -webkit-animation: @animation;\n -o-animation: @animation;\n animation: @animation;\n}\n.animation-name(@name) {\n -webkit-animation-name: @name;\n animation-name: @name;\n}\n.animation-duration(@duration) {\n -webkit-animation-duration: @duration;\n animation-duration: @duration;\n}\n.animation-timing-function(@timing-function) {\n -webkit-animation-timing-function: @timing-function;\n animation-timing-function: @timing-function;\n}\n.animation-delay(@delay) {\n -webkit-animation-delay: @delay;\n animation-delay: @delay;\n}\n.animation-iteration-count(@iteration-count) {\n -webkit-animation-iteration-count: @iteration-count;\n animation-iteration-count: @iteration-count;\n}\n.animation-direction(@direction) {\n -webkit-animation-direction: @direction;\n animation-direction: @direction;\n}\n.animation-fill-mode(@fill-mode) {\n -webkit-animation-fill-mode: @fill-mode;\n animation-fill-mode: @fill-mode;\n}\n\n// Backface visibility\n// Prevent browsers from flickering when using CSS 3D transforms.\n// Default value is `visible`, but can be changed to `hidden`\n\n.backface-visibility(@visibility) {\n -webkit-backface-visibility: @visibility;\n -moz-backface-visibility: @visibility;\n backface-visibility: @visibility;\n}\n\n// Drop shadows\n//\n// Note: Deprecated `.box-shadow()` as of v3.1.0 since all of Bootstrap's\n// supported browsers that have box shadow capabilities now support it.\n\n.box-shadow(@shadow) {\n -webkit-box-shadow: @shadow; // iOS <4.3 & Android <4.1\n box-shadow: @shadow;\n}\n\n// Box sizing\n.box-sizing(@boxmodel) {\n -webkit-box-sizing: @boxmodel;\n -moz-box-sizing: @boxmodel;\n box-sizing: @boxmodel;\n}\n\n// CSS3 Content Columns\n.content-columns(@column-count; @column-gap: @grid-gutter-width) {\n -webkit-column-count: @column-count;\n -moz-column-count: @column-count;\n column-count: @column-count;\n -webkit-column-gap: @column-gap;\n -moz-column-gap: @column-gap;\n column-gap: @column-gap;\n}\n\n// Optional hyphenation\n.hyphens(@mode: auto) {\n -webkit-hyphens: @mode;\n -moz-hyphens: @mode;\n -ms-hyphens: @mode; // IE10+\n -o-hyphens: @mode;\n hyphens: @mode;\n word-wrap: break-word;\n}\n\n// Placeholder text\n.placeholder(@color: @input-color-placeholder) {\n // Firefox\n &::-moz-placeholder {\n color: @color;\n opacity: 1; // Override Firefox's unusual default opacity; see https://github.com/twbs/bootstrap/pull/11526\n }\n &:-ms-input-placeholder { color: @color; } // Internet Explorer 10+\n &::-webkit-input-placeholder { color: @color; } // Safari and Chrome\n}\n\n// Transformations\n.scale(@ratio) {\n -webkit-transform: scale(@ratio);\n -ms-transform: scale(@ratio); // IE9 only\n -o-transform: scale(@ratio);\n transform: scale(@ratio);\n}\n.scale(@ratioX; @ratioY) {\n -webkit-transform: scale(@ratioX, @ratioY);\n -ms-transform: scale(@ratioX, @ratioY); // IE9 only\n -o-transform: scale(@ratioX, @ratioY);\n transform: scale(@ratioX, @ratioY);\n}\n.scaleX(@ratio) {\n -webkit-transform: scaleX(@ratio);\n -ms-transform: scaleX(@ratio); // IE9 only\n -o-transform: scaleX(@ratio);\n transform: scaleX(@ratio);\n}\n.scaleY(@ratio) {\n -webkit-transform: scaleY(@ratio);\n -ms-transform: scaleY(@ratio); // IE9 only\n -o-transform: scaleY(@ratio);\n transform: scaleY(@ratio);\n}\n.skew(@x; @y) {\n -webkit-transform: skewX(@x) skewY(@y);\n -ms-transform: skewX(@x) skewY(@y); // See https://github.com/twbs/bootstrap/issues/4885; IE9+\n -o-transform: skewX(@x) skewY(@y);\n transform: skewX(@x) skewY(@y);\n}\n.translate(@x; @y) {\n -webkit-transform: translate(@x, @y);\n -ms-transform: translate(@x, @y); // IE9 only\n -o-transform: translate(@x, @y);\n transform: translate(@x, @y);\n}\n.translate3d(@x; @y; @z) {\n -webkit-transform: translate3d(@x, @y, @z);\n transform: translate3d(@x, @y, @z);\n}\n.rotate(@degrees) {\n -webkit-transform: rotate(@degrees);\n -ms-transform: rotate(@degrees); // IE9 only\n -o-transform: rotate(@degrees);\n transform: rotate(@degrees);\n}\n.rotateX(@degrees) {\n -webkit-transform: rotateX(@degrees);\n -ms-transform: rotateX(@degrees); // IE9 only\n -o-transform: rotateX(@degrees);\n transform: rotateX(@degrees);\n}\n.rotateY(@degrees) {\n -webkit-transform: rotateY(@degrees);\n -ms-transform: rotateY(@degrees); // IE9 only\n -o-transform: rotateY(@degrees);\n transform: rotateY(@degrees);\n}\n.perspective(@perspective) {\n -webkit-perspective: @perspective;\n -moz-perspective: @perspective;\n perspective: @perspective;\n}\n.perspective-origin(@perspective) {\n -webkit-perspective-origin: @perspective;\n -moz-perspective-origin: @perspective;\n perspective-origin: @perspective;\n}\n.transform-origin(@origin) {\n -webkit-transform-origin: @origin;\n -moz-transform-origin: @origin;\n -ms-transform-origin: @origin; // IE9 only\n transform-origin: @origin;\n}\n\n\n// Transitions\n\n.transition(@transition) {\n -webkit-transition: @transition;\n -o-transition: @transition;\n transition: @transition;\n}\n.transition-property(@transition-property) {\n -webkit-transition-property: @transition-property;\n transition-property: @transition-property;\n}\n.transition-delay(@transition-delay) {\n -webkit-transition-delay: @transition-delay;\n transition-delay: @transition-delay;\n}\n.transition-duration(@transition-duration) {\n -webkit-transition-duration: @transition-duration;\n transition-duration: @transition-duration;\n}\n.transition-timing-function(@timing-function) {\n -webkit-transition-timing-function: @timing-function;\n transition-timing-function: @timing-function;\n}\n.transition-transform(@transition) {\n -webkit-transition: -webkit-transform @transition;\n -moz-transition: -moz-transform @transition;\n -o-transition: -o-transform @transition;\n transition: transform @transition;\n}\n\n\n// User select\n// For selecting text on the page\n\n.user-select(@select) {\n -webkit-user-select: @select;\n -moz-user-select: @select;\n -ms-user-select: @select; // IE10+\n user-select: @select;\n}\n","// stylelint-disable value-no-vendor-prefix, selector-max-id\n\n#gradient {\n\n // Horizontal gradient, from left to right\n //\n // Creates two color stops, start and end, by specifying a color and position for each color stop.\n // Color stops are not available in IE9 and below.\n .horizontal(@start-color: #555; @end-color: #333; @start-percent: 0%; @end-percent: 100%) {\n background-image: -webkit-linear-gradient(left, @start-color @start-percent, @end-color @end-percent); // Safari 5.1-6, Chrome 10+\n background-image: -o-linear-gradient(left, @start-color @start-percent, @end-color @end-percent); // Opera 12\n background-image: linear-gradient(to right, @start-color @start-percent, @end-color @end-percent); // Standard, IE10, Firefox 16+, Opera 12.10+, Safari 7+, Chrome 26+\n filter: e(%(\"progid:DXImageTransform.Microsoft.gradient(startColorstr='%d', endColorstr='%d', GradientType=1)\", argb(@start-color), argb(@end-color))); // IE9 and down\n background-repeat: repeat-x;\n }\n\n // Vertical gradient, from top to bottom\n //\n // Creates two color stops, start and end, by specifying a color and position for each color stop.\n // Color stops are not available in IE9 and below.\n .vertical(@start-color: #555; @end-color: #333; @start-percent: 0%; @end-percent: 100%) {\n background-image: -webkit-linear-gradient(top, @start-color @start-percent, @end-color @end-percent); // Safari 5.1-6, Chrome 10+\n background-image: -o-linear-gradient(top, @start-color @start-percent, @end-color @end-percent); // Opera 12\n background-image: linear-gradient(to bottom, @start-color @start-percent, @end-color @end-percent); // Standard, IE10, Firefox 16+, Opera 12.10+, Safari 7+, Chrome 26+\n filter: e(%(\"progid:DXImageTransform.Microsoft.gradient(startColorstr='%d', endColorstr='%d', GradientType=0)\", argb(@start-color), argb(@end-color))); // IE9 and down\n background-repeat: repeat-x;\n }\n\n .directional(@start-color: #555; @end-color: #333; @deg: 45deg) {\n background-image: -webkit-linear-gradient(@deg, @start-color, @end-color); // Safari 5.1-6, Chrome 10+\n background-image: -o-linear-gradient(@deg, @start-color, @end-color); // Opera 12\n background-image: linear-gradient(@deg, @start-color, @end-color); // Standard, IE10, Firefox 16+, Opera 12.10+, Safari 7+, Chrome 26+\n background-repeat: repeat-x;\n }\n .horizontal-three-colors(@start-color: #00b3ee; @mid-color: #7a43b6; @color-stop: 50%; @end-color: #c3325f) {\n background-image: -webkit-linear-gradient(left, @start-color, @mid-color @color-stop, @end-color);\n background-image: -o-linear-gradient(left, @start-color, @mid-color @color-stop, @end-color);\n background-image: linear-gradient(to right, @start-color, @mid-color @color-stop, @end-color);\n filter: e(%(\"progid:DXImageTransform.Microsoft.gradient(startColorstr='%d', endColorstr='%d', GradientType=1)\", argb(@start-color), argb(@end-color))); // IE9 and down, gets no color-stop at all for proper fallback\n background-repeat: no-repeat;\n }\n .vertical-three-colors(@start-color: #00b3ee; @mid-color: #7a43b6; @color-stop: 50%; @end-color: #c3325f) {\n background-image: -webkit-linear-gradient(@start-color, @mid-color @color-stop, @end-color);\n background-image: -o-linear-gradient(@start-color, @mid-color @color-stop, @end-color);\n background-image: linear-gradient(@start-color, @mid-color @color-stop, @end-color);\n filter: e(%(\"progid:DXImageTransform.Microsoft.gradient(startColorstr='%d', endColorstr='%d', GradientType=0)\", argb(@start-color), argb(@end-color))); // IE9 and down, gets no color-stop at all for proper fallback\n background-repeat: no-repeat;\n }\n .radial(@inner-color: #555; @outer-color: #333) {\n background-image: -webkit-radial-gradient(circle, @inner-color, @outer-color);\n background-image: radial-gradient(circle, @inner-color, @outer-color);\n background-repeat: no-repeat;\n }\n .striped(@color: rgba(255, 255, 255, .15); @angle: 45deg) {\n background-image: -webkit-linear-gradient(@angle, @color 25%, transparent 25%, transparent 50%, @color 50%, @color 75%, transparent 75%, transparent);\n background-image: -o-linear-gradient(@angle, @color 25%, transparent 25%, transparent 50%, @color 50%, @color 75%, transparent 75%, transparent);\n background-image: linear-gradient(@angle, @color 25%, transparent 25%, transparent 50%, @color 50%, @color 75%, transparent 75%, transparent);\n }\n}\n","// Reset filters for IE\n//\n// When you need to remove a gradient background, do not forget to use this to reset\n// the IE filter for IE9 and below.\n\n.reset-filter() {\n filter: e(%(\"progid:DXImageTransform.Microsoft.gradient(enabled = false)\"));\n}\n"]} \ No newline at end of file diff --git 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endColorstr='#ffc12e2a', GradientType=0);\n filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n background-repeat: repeat-x;\n border-color: #b92c28;\n}\n.btn-danger:hover,\n.btn-danger:focus {\n background-color: #c12e2a;\n background-position: 0 -15px;\n}\n.btn-danger:active,\n.btn-danger.active {\n background-color: #c12e2a;\n border-color: #b92c28;\n}\n.btn-danger.disabled,\n.btn-danger[disabled],\nfieldset[disabled] .btn-danger,\n.btn-danger.disabled:hover,\n.btn-danger[disabled]:hover,\nfieldset[disabled] .btn-danger:hover,\n.btn-danger.disabled:focus,\n.btn-danger[disabled]:focus,\nfieldset[disabled] .btn-danger:focus,\n.btn-danger.disabled.focus,\n.btn-danger[disabled].focus,\nfieldset[disabled] .btn-danger.focus,\n.btn-danger.disabled:active,\n.btn-danger[disabled]:active,\nfieldset[disabled] .btn-danger:active,\n.btn-danger.disabled.active,\n.btn-danger[disabled].active,\nfieldset[disabled] .btn-danger.active {\n background-color: #c12e2a;\n background-image: none;\n}\n.thumbnail,\n.img-thumbnail {\n -webkit-box-shadow: 0 1px 2px rgba(0, 0, 0, 0.075);\n box-shadow: 0 1px 2px rgba(0, 0, 0, 0.075);\n}\n.dropdown-menu > li > a:hover,\n.dropdown-menu > li > a:focus {\n background-image: -webkit-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%);\n background-image: -o-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%);\n background-image: linear-gradient(to bottom, #f5f5f5 0%, #e8e8e8 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff5f5f5', endColorstr='#ffe8e8e8', GradientType=0);\n background-repeat: repeat-x;\n background-color: #e8e8e8;\n}\n.dropdown-menu > .active > a,\n.dropdown-menu > .active > a:hover,\n.dropdown-menu > .active > a:focus {\n background-image: -webkit-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n background-image: -o-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n background-image: linear-gradient(to bottom, #337ab7 0%, #2e6da4 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2e6da4', GradientType=0);\n background-repeat: repeat-x;\n background-color: #2e6da4;\n}\n.navbar-default {\n background-image: -webkit-linear-gradient(top, #ffffff 0%, #f8f8f8 100%);\n background-image: -o-linear-gradient(top, #ffffff 0%, #f8f8f8 100%);\n background-image: linear-gradient(to bottom, #ffffff 0%, #f8f8f8 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffffffff', endColorstr='#fff8f8f8', GradientType=0);\n background-repeat: repeat-x;\n filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n border-radius: 4px;\n -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.15), 0 1px 5px rgba(0, 0, 0, 0.075);\n box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.15), 0 1px 5px rgba(0, 0, 0, 0.075);\n}\n.navbar-default .navbar-nav > .open > a,\n.navbar-default .navbar-nav > .active > a {\n background-image: -webkit-linear-gradient(top, #dbdbdb 0%, #e2e2e2 100%);\n background-image: -o-linear-gradient(top, #dbdbdb 0%, #e2e2e2 100%);\n background-image: linear-gradient(to bottom, #dbdbdb 0%, #e2e2e2 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffdbdbdb', endColorstr='#ffe2e2e2', GradientType=0);\n background-repeat: repeat-x;\n -webkit-box-shadow: inset 0 3px 9px rgba(0, 0, 0, 0.075);\n box-shadow: inset 0 3px 9px rgba(0, 0, 0, 0.075);\n}\n.navbar-brand,\n.navbar-nav > li > a {\n text-shadow: 0 1px 0 rgba(255, 255, 255, 0.25);\n}\n.navbar-inverse {\n background-image: -webkit-linear-gradient(top, #3c3c3c 0%, #222 100%);\n background-image: -o-linear-gradient(top, #3c3c3c 0%, #222 100%);\n background-image: linear-gradient(to bottom, #3c3c3c 0%, #222 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff3c3c3c', endColorstr='#ff222222', GradientType=0);\n background-repeat: repeat-x;\n filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n border-radius: 4px;\n}\n.navbar-inverse .navbar-nav > .open > a,\n.navbar-inverse .navbar-nav > .active > a {\n background-image: -webkit-linear-gradient(top, #080808 0%, #0f0f0f 100%);\n background-image: -o-linear-gradient(top, #080808 0%, #0f0f0f 100%);\n background-image: linear-gradient(to bottom, #080808 0%, #0f0f0f 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff080808', endColorstr='#ff0f0f0f', GradientType=0);\n background-repeat: repeat-x;\n -webkit-box-shadow: inset 0 3px 9px rgba(0, 0, 0, 0.25);\n box-shadow: inset 0 3px 9px rgba(0, 0, 0, 0.25);\n}\n.navbar-inverse .navbar-brand,\n.navbar-inverse .navbar-nav > li > a {\n text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25);\n}\n.navbar-static-top,\n.navbar-fixed-top,\n.navbar-fixed-bottom {\n border-radius: 0;\n}\n@media (max-width: 767px) {\n .navbar .navbar-nav .open .dropdown-menu > .active > a,\n .navbar .navbar-nav .open .dropdown-menu > .active > a:hover,\n .navbar .navbar-nav .open .dropdown-menu > .active > a:focus {\n color: #fff;\n background-image: -webkit-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n background-image: -o-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n background-image: linear-gradient(to bottom, #337ab7 0%, #2e6da4 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2e6da4', GradientType=0);\n background-repeat: repeat-x;\n }\n}\n.alert {\n text-shadow: 0 1px 0 rgba(255, 255, 255, 0.2);\n -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.25), 0 1px 2px rgba(0, 0, 0, 0.05);\n box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.25), 0 1px 2px rgba(0, 0, 0, 0.05);\n}\n.alert-success {\n background-image: -webkit-linear-gradient(top, #dff0d8 0%, #c8e5bc 100%);\n background-image: -o-linear-gradient(top, #dff0d8 0%, #c8e5bc 100%);\n background-image: linear-gradient(to bottom, #dff0d8 0%, #c8e5bc 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffdff0d8', endColorstr='#ffc8e5bc', GradientType=0);\n background-repeat: repeat-x;\n border-color: #b2dba1;\n}\n.alert-info {\n background-image: -webkit-linear-gradient(top, #d9edf7 0%, #b9def0 100%);\n background-image: -o-linear-gradient(top, #d9edf7 0%, #b9def0 100%);\n background-image: linear-gradient(to bottom, #d9edf7 0%, #b9def0 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9edf7', endColorstr='#ffb9def0', GradientType=0);\n background-repeat: repeat-x;\n border-color: #9acfea;\n}\n.alert-warning {\n background-image: -webkit-linear-gradient(top, #fcf8e3 0%, #f8efc0 100%);\n background-image: -o-linear-gradient(top, #fcf8e3 0%, #f8efc0 100%);\n background-image: linear-gradient(to bottom, #fcf8e3 0%, #f8efc0 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fffcf8e3', endColorstr='#fff8efc0', GradientType=0);\n background-repeat: repeat-x;\n border-color: #f5e79e;\n}\n.alert-danger {\n background-image: -webkit-linear-gradient(top, #f2dede 0%, #e7c3c3 100%);\n background-image: -o-linear-gradient(top, #f2dede 0%, #e7c3c3 100%);\n background-image: linear-gradient(to bottom, #f2dede 0%, #e7c3c3 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff2dede', endColorstr='#ffe7c3c3', GradientType=0);\n background-repeat: repeat-x;\n border-color: #dca7a7;\n}\n.progress {\n background-image: -webkit-linear-gradient(top, #ebebeb 0%, #f5f5f5 100%);\n background-image: -o-linear-gradient(top, #ebebeb 0%, #f5f5f5 100%);\n background-image: linear-gradient(to bottom, #ebebeb 0%, #f5f5f5 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffebebeb', endColorstr='#fff5f5f5', GradientType=0);\n background-repeat: repeat-x;\n}\n.progress-bar {\n background-image: -webkit-linear-gradient(top, #337ab7 0%, #286090 100%);\n background-image: -o-linear-gradient(top, #337ab7 0%, #286090 100%);\n background-image: linear-gradient(to bottom, #337ab7 0%, #286090 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff286090', GradientType=0);\n background-repeat: repeat-x;\n}\n.progress-bar-success {\n background-image: -webkit-linear-gradient(top, #5cb85c 0%, #449d44 100%);\n background-image: -o-linear-gradient(top, #5cb85c 0%, #449d44 100%);\n background-image: linear-gradient(to bottom, #5cb85c 0%, #449d44 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5cb85c', endColorstr='#ff449d44', GradientType=0);\n background-repeat: repeat-x;\n}\n.progress-bar-info {\n background-image: -webkit-linear-gradient(top, #5bc0de 0%, #31b0d5 100%);\n background-image: -o-linear-gradient(top, #5bc0de 0%, #31b0d5 100%);\n background-image: linear-gradient(to bottom, #5bc0de 0%, #31b0d5 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5bc0de', endColorstr='#ff31b0d5', GradientType=0);\n background-repeat: repeat-x;\n}\n.progress-bar-warning {\n background-image: -webkit-linear-gradient(top, #f0ad4e 0%, #ec971f 100%);\n background-image: -o-linear-gradient(top, #f0ad4e 0%, #ec971f 100%);\n background-image: linear-gradient(to bottom, #f0ad4e 0%, #ec971f 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff0ad4e', endColorstr='#ffec971f', GradientType=0);\n background-repeat: repeat-x;\n}\n.progress-bar-danger {\n background-image: -webkit-linear-gradient(top, #d9534f 0%, #c9302c 100%);\n background-image: -o-linear-gradient(top, #d9534f 0%, #c9302c 100%);\n background-image: linear-gradient(to bottom, #d9534f 0%, #c9302c 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9534f', endColorstr='#ffc9302c', GradientType=0);\n background-repeat: repeat-x;\n}\n.progress-bar-striped {\n background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n}\n.list-group {\n border-radius: 4px;\n -webkit-box-shadow: 0 1px 2px rgba(0, 0, 0, 0.075);\n box-shadow: 0 1px 2px rgba(0, 0, 0, 0.075);\n}\n.list-group-item.active,\n.list-group-item.active:hover,\n.list-group-item.active:focus {\n text-shadow: 0 -1px 0 #286090;\n background-image: -webkit-linear-gradient(top, #337ab7 0%, #2b669a 100%);\n background-image: -o-linear-gradient(top, #337ab7 0%, #2b669a 100%);\n background-image: linear-gradient(to bottom, #337ab7 0%, #2b669a 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2b669a', GradientType=0);\n background-repeat: repeat-x;\n border-color: #2b669a;\n}\n.list-group-item.active .badge,\n.list-group-item.active:hover .badge,\n.list-group-item.active:focus .badge {\n text-shadow: none;\n}\n.panel {\n -webkit-box-shadow: 0 1px 2px rgba(0, 0, 0, 0.05);\n box-shadow: 0 1px 2px rgba(0, 0, 0, 0.05);\n}\n.panel-default > .panel-heading {\n background-image: -webkit-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%);\n background-image: -o-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%);\n background-image: linear-gradient(to bottom, #f5f5f5 0%, #e8e8e8 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff5f5f5', endColorstr='#ffe8e8e8', GradientType=0);\n background-repeat: repeat-x;\n}\n.panel-primary > .panel-heading {\n background-image: -webkit-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n background-image: -o-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n background-image: linear-gradient(to bottom, #337ab7 0%, #2e6da4 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2e6da4', GradientType=0);\n background-repeat: repeat-x;\n}\n.panel-success > .panel-heading {\n background-image: -webkit-linear-gradient(top, #dff0d8 0%, #d0e9c6 100%);\n background-image: -o-linear-gradient(top, #dff0d8 0%, #d0e9c6 100%);\n background-image: linear-gradient(to bottom, #dff0d8 0%, #d0e9c6 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffdff0d8', endColorstr='#ffd0e9c6', GradientType=0);\n background-repeat: repeat-x;\n}\n.panel-info > .panel-heading {\n background-image: -webkit-linear-gradient(top, #d9edf7 0%, #c4e3f3 100%);\n background-image: -o-linear-gradient(top, #d9edf7 0%, #c4e3f3 100%);\n background-image: linear-gradient(to bottom, #d9edf7 0%, #c4e3f3 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9edf7', endColorstr='#ffc4e3f3', GradientType=0);\n background-repeat: repeat-x;\n}\n.panel-warning > .panel-heading {\n background-image: -webkit-linear-gradient(top, #fcf8e3 0%, #faf2cc 100%);\n background-image: -o-linear-gradient(top, #fcf8e3 0%, #faf2cc 100%);\n background-image: linear-gradient(to bottom, #fcf8e3 0%, #faf2cc 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fffcf8e3', endColorstr='#fffaf2cc', GradientType=0);\n background-repeat: repeat-x;\n}\n.panel-danger > .panel-heading {\n background-image: -webkit-linear-gradient(top, #f2dede 0%, #ebcccc 100%);\n background-image: -o-linear-gradient(top, #f2dede 0%, #ebcccc 100%);\n background-image: linear-gradient(to bottom, #f2dede 0%, #ebcccc 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff2dede', endColorstr='#ffebcccc', GradientType=0);\n background-repeat: repeat-x;\n}\n.well {\n background-image: -webkit-linear-gradient(top, #e8e8e8 0%, #f5f5f5 100%);\n background-image: -o-linear-gradient(top, #e8e8e8 0%, #f5f5f5 100%);\n background-image: linear-gradient(to bottom, #e8e8e8 0%, #f5f5f5 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffe8e8e8', endColorstr='#fff5f5f5', GradientType=0);\n background-repeat: repeat-x;\n border-color: #dcdcdc;\n -webkit-box-shadow: inset 0 1px 3px rgba(0, 0, 0, 0.05), 0 1px 0 rgba(255, 255, 255, 0.1);\n box-shadow: inset 0 1px 3px rgba(0, 0, 0, 0.05), 0 1px 0 rgba(255, 255, 255, 0.1);\n}\n/*# sourceMappingURL=bootstrap-theme.css.map */","/*!\n * Bootstrap v3.4.1 (https://getbootstrap.com/)\n * Copyright 2011-2019 Twitter, Inc.\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)\n */\n.btn-default,\n.btn-primary,\n.btn-success,\n.btn-info,\n.btn-warning,\n.btn-danger {\n text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.2);\n -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.15), 0 1px 1px rgba(0, 0, 0, 0.075);\n box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.15), 0 1px 1px rgba(0, 0, 0, 0.075);\n}\n.btn-default:active,\n.btn-primary:active,\n.btn-success:active,\n.btn-info:active,\n.btn-warning:active,\n.btn-danger:active,\n.btn-default.active,\n.btn-primary.active,\n.btn-success.active,\n.btn-info.active,\n.btn-warning.active,\n.btn-danger.active {\n -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n}\n.btn-default.disabled,\n.btn-primary.disabled,\n.btn-success.disabled,\n.btn-info.disabled,\n.btn-warning.disabled,\n.btn-danger.disabled,\n.btn-default[disabled],\n.btn-primary[disabled],\n.btn-success[disabled],\n.btn-info[disabled],\n.btn-warning[disabled],\n.btn-danger[disabled],\nfieldset[disabled] .btn-default,\nfieldset[disabled] .btn-primary,\nfieldset[disabled] .btn-success,\nfieldset[disabled] .btn-info,\nfieldset[disabled] .btn-warning,\nfieldset[disabled] .btn-danger {\n -webkit-box-shadow: none;\n box-shadow: none;\n}\n.btn-default .badge,\n.btn-primary .badge,\n.btn-success .badge,\n.btn-info .badge,\n.btn-warning .badge,\n.btn-danger .badge {\n text-shadow: none;\n}\n.btn:active,\n.btn.active {\n background-image: none;\n}\n.btn-default {\n background-image: -webkit-linear-gradient(top, #fff 0%, #e0e0e0 100%);\n background-image: -o-linear-gradient(top, #fff 0%, #e0e0e0 100%);\n background-image: -webkit-gradient(linear, left top, left bottom, from(#fff), to(#e0e0e0));\n background-image: linear-gradient(to bottom, #fff 0%, #e0e0e0 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffffffff', endColorstr='#ffe0e0e0', GradientType=0);\n filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n background-repeat: repeat-x;\n border-color: #dbdbdb;\n text-shadow: 0 1px 0 #fff;\n border-color: #ccc;\n}\n.btn-default:hover,\n.btn-default:focus {\n background-color: #e0e0e0;\n background-position: 0 -15px;\n}\n.btn-default:active,\n.btn-default.active {\n background-color: #e0e0e0;\n border-color: #dbdbdb;\n}\n.btn-default.disabled,\n.btn-default[disabled],\nfieldset[disabled] .btn-default,\n.btn-default.disabled:hover,\n.btn-default[disabled]:hover,\nfieldset[disabled] .btn-default:hover,\n.btn-default.disabled:focus,\n.btn-default[disabled]:focus,\nfieldset[disabled] .btn-default:focus,\n.btn-default.disabled.focus,\n.btn-default[disabled].focus,\nfieldset[disabled] .btn-default.focus,\n.btn-default.disabled:active,\n.btn-default[disabled]:active,\nfieldset[disabled] .btn-default:active,\n.btn-default.disabled.active,\n.btn-default[disabled].active,\nfieldset[disabled] .btn-default.active {\n background-color: #e0e0e0;\n background-image: none;\n}\n.btn-primary {\n background-image: -webkit-linear-gradient(top, #337ab7 0%, #265a88 100%);\n background-image: -o-linear-gradient(top, #337ab7 0%, #265a88 100%);\n background-image: -webkit-gradient(linear, left top, left bottom, from(#337ab7), to(#265a88));\n background-image: linear-gradient(to bottom, #337ab7 0%, #265a88 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff265a88', GradientType=0);\n filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n background-repeat: repeat-x;\n border-color: #245580;\n}\n.btn-primary:hover,\n.btn-primary:focus {\n background-color: #265a88;\n background-position: 0 -15px;\n}\n.btn-primary:active,\n.btn-primary.active {\n background-color: #265a88;\n border-color: #245580;\n}\n.btn-primary.disabled,\n.btn-primary[disabled],\nfieldset[disabled] .btn-primary,\n.btn-primary.disabled:hover,\n.btn-primary[disabled]:hover,\nfieldset[disabled] .btn-primary:hover,\n.btn-primary.disabled:focus,\n.btn-primary[disabled]:focus,\nfieldset[disabled] .btn-primary:focus,\n.btn-primary.disabled.focus,\n.btn-primary[disabled].focus,\nfieldset[disabled] .btn-primary.focus,\n.btn-primary.disabled:active,\n.btn-primary[disabled]:active,\nfieldset[disabled] .btn-primary:active,\n.btn-primary.disabled.active,\n.btn-primary[disabled].active,\nfieldset[disabled] .btn-primary.active {\n background-color: #265a88;\n background-image: none;\n}\n.btn-success {\n background-image: -webkit-linear-gradient(top, #5cb85c 0%, #419641 100%);\n background-image: -o-linear-gradient(top, #5cb85c 0%, #419641 100%);\n background-image: -webkit-gradient(linear, left top, left bottom, from(#5cb85c), to(#419641));\n background-image: linear-gradient(to bottom, #5cb85c 0%, #419641 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5cb85c', endColorstr='#ff419641', GradientType=0);\n filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n background-repeat: repeat-x;\n border-color: #3e8f3e;\n}\n.btn-success:hover,\n.btn-success:focus {\n background-color: #419641;\n background-position: 0 -15px;\n}\n.btn-success:active,\n.btn-success.active {\n background-color: #419641;\n border-color: #3e8f3e;\n}\n.btn-success.disabled,\n.btn-success[disabled],\nfieldset[disabled] .btn-success,\n.btn-success.disabled:hover,\n.btn-success[disabled]:hover,\nfieldset[disabled] .btn-success:hover,\n.btn-success.disabled:focus,\n.btn-success[disabled]:focus,\nfieldset[disabled] .btn-success:focus,\n.btn-success.disabled.focus,\n.btn-success[disabled].focus,\nfieldset[disabled] .btn-success.focus,\n.btn-success.disabled:active,\n.btn-success[disabled]:active,\nfieldset[disabled] .btn-success:active,\n.btn-success.disabled.active,\n.btn-success[disabled].active,\nfieldset[disabled] .btn-success.active {\n background-color: #419641;\n background-image: none;\n}\n.btn-info {\n background-image: -webkit-linear-gradient(top, #5bc0de 0%, #2aabd2 100%);\n background-image: -o-linear-gradient(top, #5bc0de 0%, #2aabd2 100%);\n background-image: -webkit-gradient(linear, left top, left bottom, from(#5bc0de), to(#2aabd2));\n background-image: linear-gradient(to bottom, #5bc0de 0%, #2aabd2 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5bc0de', endColorstr='#ff2aabd2', GradientType=0);\n filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n background-repeat: repeat-x;\n border-color: #28a4c9;\n}\n.btn-info:hover,\n.btn-info:focus {\n background-color: #2aabd2;\n background-position: 0 -15px;\n}\n.btn-info:active,\n.btn-info.active {\n background-color: #2aabd2;\n border-color: #28a4c9;\n}\n.btn-info.disabled,\n.btn-info[disabled],\nfieldset[disabled] .btn-info,\n.btn-info.disabled:hover,\n.btn-info[disabled]:hover,\nfieldset[disabled] .btn-info:hover,\n.btn-info.disabled:focus,\n.btn-info[disabled]:focus,\nfieldset[disabled] .btn-info:focus,\n.btn-info.disabled.focus,\n.btn-info[disabled].focus,\nfieldset[disabled] .btn-info.focus,\n.btn-info.disabled:active,\n.btn-info[disabled]:active,\nfieldset[disabled] .btn-info:active,\n.btn-info.disabled.active,\n.btn-info[disabled].active,\nfieldset[disabled] .btn-info.active {\n background-color: #2aabd2;\n background-image: none;\n}\n.btn-warning {\n background-image: -webkit-linear-gradient(top, #f0ad4e 0%, #eb9316 100%);\n background-image: -o-linear-gradient(top, #f0ad4e 0%, #eb9316 100%);\n background-image: -webkit-gradient(linear, left top, left bottom, from(#f0ad4e), to(#eb9316));\n background-image: linear-gradient(to bottom, #f0ad4e 0%, #eb9316 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff0ad4e', endColorstr='#ffeb9316', GradientType=0);\n filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n background-repeat: repeat-x;\n border-color: #e38d13;\n}\n.btn-warning:hover,\n.btn-warning:focus {\n background-color: #eb9316;\n background-position: 0 -15px;\n}\n.btn-warning:active,\n.btn-warning.active {\n background-color: #eb9316;\n border-color: #e38d13;\n}\n.btn-warning.disabled,\n.btn-warning[disabled],\nfieldset[disabled] .btn-warning,\n.btn-warning.disabled:hover,\n.btn-warning[disabled]:hover,\nfieldset[disabled] .btn-warning:hover,\n.btn-warning.disabled:focus,\n.btn-warning[disabled]:focus,\nfieldset[disabled] .btn-warning:focus,\n.btn-warning.disabled.focus,\n.btn-warning[disabled].focus,\nfieldset[disabled] .btn-warning.focus,\n.btn-warning.disabled:active,\n.btn-warning[disabled]:active,\nfieldset[disabled] .btn-warning:active,\n.btn-warning.disabled.active,\n.btn-warning[disabled].active,\nfieldset[disabled] .btn-warning.active {\n background-color: #eb9316;\n background-image: none;\n}\n.btn-danger {\n background-image: -webkit-linear-gradient(top, #d9534f 0%, #c12e2a 100%);\n background-image: -o-linear-gradient(top, #d9534f 0%, #c12e2a 100%);\n background-image: -webkit-gradient(linear, left top, left bottom, from(#d9534f), to(#c12e2a));\n background-image: linear-gradient(to bottom, #d9534f 0%, #c12e2a 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9534f', endColorstr='#ffc12e2a', GradientType=0);\n filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n background-repeat: repeat-x;\n border-color: #b92c28;\n}\n.btn-danger:hover,\n.btn-danger:focus {\n background-color: #c12e2a;\n background-position: 0 -15px;\n}\n.btn-danger:active,\n.btn-danger.active {\n background-color: #c12e2a;\n border-color: #b92c28;\n}\n.btn-danger.disabled,\n.btn-danger[disabled],\nfieldset[disabled] .btn-danger,\n.btn-danger.disabled:hover,\n.btn-danger[disabled]:hover,\nfieldset[disabled] .btn-danger:hover,\n.btn-danger.disabled:focus,\n.btn-danger[disabled]:focus,\nfieldset[disabled] .btn-danger:focus,\n.btn-danger.disabled.focus,\n.btn-danger[disabled].focus,\nfieldset[disabled] .btn-danger.focus,\n.btn-danger.disabled:active,\n.btn-danger[disabled]:active,\nfieldset[disabled] .btn-danger:active,\n.btn-danger.disabled.active,\n.btn-danger[disabled].active,\nfieldset[disabled] .btn-danger.active {\n background-color: #c12e2a;\n background-image: none;\n}\n.thumbnail,\n.img-thumbnail {\n -webkit-box-shadow: 0 1px 2px rgba(0, 0, 0, 0.075);\n box-shadow: 0 1px 2px rgba(0, 0, 0, 0.075);\n}\n.dropdown-menu > li > a:hover,\n.dropdown-menu > li > a:focus {\n background-image: -webkit-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%);\n background-image: -o-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%);\n background-image: -webkit-gradient(linear, left top, left bottom, from(#f5f5f5), to(#e8e8e8));\n background-image: linear-gradient(to bottom, #f5f5f5 0%, #e8e8e8 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff5f5f5', endColorstr='#ffe8e8e8', GradientType=0);\n background-repeat: repeat-x;\n background-color: #e8e8e8;\n}\n.dropdown-menu > .active > a,\n.dropdown-menu > .active > a:hover,\n.dropdown-menu > .active > a:focus {\n background-image: -webkit-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n background-image: -o-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n background-image: -webkit-gradient(linear, left top, left bottom, from(#337ab7), to(#2e6da4));\n background-image: linear-gradient(to bottom, #337ab7 0%, #2e6da4 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2e6da4', GradientType=0);\n background-repeat: repeat-x;\n background-color: #2e6da4;\n}\n.navbar-default {\n background-image: -webkit-linear-gradient(top, #ffffff 0%, #f8f8f8 100%);\n background-image: -o-linear-gradient(top, #ffffff 0%, #f8f8f8 100%);\n background-image: -webkit-gradient(linear, left top, left bottom, from(#ffffff), to(#f8f8f8));\n background-image: linear-gradient(to bottom, #ffffff 0%, #f8f8f8 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffffffff', endColorstr='#fff8f8f8', GradientType=0);\n background-repeat: repeat-x;\n filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n border-radius: 4px;\n -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.15), 0 1px 5px rgba(0, 0, 0, 0.075);\n box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.15), 0 1px 5px rgba(0, 0, 0, 0.075);\n}\n.navbar-default .navbar-nav > .open > a,\n.navbar-default .navbar-nav > .active > a {\n background-image: -webkit-linear-gradient(top, #dbdbdb 0%, #e2e2e2 100%);\n background-image: -o-linear-gradient(top, #dbdbdb 0%, #e2e2e2 100%);\n background-image: -webkit-gradient(linear, left top, left bottom, from(#dbdbdb), to(#e2e2e2));\n background-image: linear-gradient(to bottom, #dbdbdb 0%, #e2e2e2 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffdbdbdb', endColorstr='#ffe2e2e2', GradientType=0);\n background-repeat: repeat-x;\n -webkit-box-shadow: inset 0 3px 9px rgba(0, 0, 0, 0.075);\n box-shadow: inset 0 3px 9px rgba(0, 0, 0, 0.075);\n}\n.navbar-brand,\n.navbar-nav > li > a {\n text-shadow: 0 1px 0 rgba(255, 255, 255, 0.25);\n}\n.navbar-inverse {\n background-image: -webkit-linear-gradient(top, #3c3c3c 0%, #222 100%);\n background-image: -o-linear-gradient(top, #3c3c3c 0%, #222 100%);\n background-image: -webkit-gradient(linear, left top, left bottom, from(#3c3c3c), to(#222));\n background-image: linear-gradient(to bottom, #3c3c3c 0%, #222 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff3c3c3c', endColorstr='#ff222222', GradientType=0);\n background-repeat: repeat-x;\n filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n border-radius: 4px;\n}\n.navbar-inverse .navbar-nav > .open > a,\n.navbar-inverse .navbar-nav > .active > a {\n background-image: -webkit-linear-gradient(top, #080808 0%, #0f0f0f 100%);\n background-image: -o-linear-gradient(top, #080808 0%, #0f0f0f 100%);\n background-image: -webkit-gradient(linear, left top, left bottom, from(#080808), to(#0f0f0f));\n background-image: linear-gradient(to bottom, #080808 0%, #0f0f0f 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff080808', endColorstr='#ff0f0f0f', GradientType=0);\n background-repeat: repeat-x;\n -webkit-box-shadow: inset 0 3px 9px rgba(0, 0, 0, 0.25);\n box-shadow: inset 0 3px 9px rgba(0, 0, 0, 0.25);\n}\n.navbar-inverse .navbar-brand,\n.navbar-inverse .navbar-nav > li > a {\n text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25);\n}\n.navbar-static-top,\n.navbar-fixed-top,\n.navbar-fixed-bottom {\n border-radius: 0;\n}\n@media (max-width: 767px) {\n .navbar .navbar-nav .open .dropdown-menu > .active > a,\n .navbar .navbar-nav .open .dropdown-menu > .active > a:hover,\n .navbar .navbar-nav .open .dropdown-menu > .active > a:focus {\n color: #fff;\n background-image: -webkit-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n background-image: -o-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n background-image: -webkit-gradient(linear, left top, left bottom, from(#337ab7), to(#2e6da4));\n background-image: linear-gradient(to bottom, #337ab7 0%, #2e6da4 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2e6da4', GradientType=0);\n background-repeat: repeat-x;\n }\n}\n.alert {\n text-shadow: 0 1px 0 rgba(255, 255, 255, 0.2);\n -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.25), 0 1px 2px rgba(0, 0, 0, 0.05);\n box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.25), 0 1px 2px rgba(0, 0, 0, 0.05);\n}\n.alert-success {\n background-image: -webkit-linear-gradient(top, #dff0d8 0%, #c8e5bc 100%);\n background-image: -o-linear-gradient(top, #dff0d8 0%, #c8e5bc 100%);\n background-image: -webkit-gradient(linear, left top, left bottom, from(#dff0d8), to(#c8e5bc));\n background-image: linear-gradient(to bottom, #dff0d8 0%, #c8e5bc 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffdff0d8', endColorstr='#ffc8e5bc', GradientType=0);\n background-repeat: repeat-x;\n border-color: #b2dba1;\n}\n.alert-info {\n background-image: -webkit-linear-gradient(top, #d9edf7 0%, #b9def0 100%);\n background-image: -o-linear-gradient(top, #d9edf7 0%, #b9def0 100%);\n background-image: -webkit-gradient(linear, left top, left bottom, from(#d9edf7), to(#b9def0));\n background-image: linear-gradient(to bottom, #d9edf7 0%, #b9def0 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9edf7', endColorstr='#ffb9def0', GradientType=0);\n background-repeat: repeat-x;\n border-color: #9acfea;\n}\n.alert-warning {\n background-image: -webkit-linear-gradient(top, #fcf8e3 0%, #f8efc0 100%);\n background-image: -o-linear-gradient(top, #fcf8e3 0%, #f8efc0 100%);\n background-image: -webkit-gradient(linear, left top, left bottom, from(#fcf8e3), to(#f8efc0));\n background-image: linear-gradient(to bottom, #fcf8e3 0%, #f8efc0 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fffcf8e3', endColorstr='#fff8efc0', GradientType=0);\n background-repeat: repeat-x;\n border-color: #f5e79e;\n}\n.alert-danger {\n background-image: -webkit-linear-gradient(top, #f2dede 0%, #e7c3c3 100%);\n background-image: -o-linear-gradient(top, #f2dede 0%, #e7c3c3 100%);\n background-image: -webkit-gradient(linear, left top, left bottom, from(#f2dede), to(#e7c3c3));\n background-image: linear-gradient(to bottom, #f2dede 0%, #e7c3c3 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff2dede', endColorstr='#ffe7c3c3', GradientType=0);\n background-repeat: repeat-x;\n border-color: #dca7a7;\n}\n.progress {\n background-image: -webkit-linear-gradient(top, #ebebeb 0%, #f5f5f5 100%);\n background-image: -o-linear-gradient(top, #ebebeb 0%, #f5f5f5 100%);\n background-image: -webkit-gradient(linear, left top, left bottom, from(#ebebeb), to(#f5f5f5));\n background-image: linear-gradient(to bottom, #ebebeb 0%, #f5f5f5 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffebebeb', endColorstr='#fff5f5f5', GradientType=0);\n background-repeat: repeat-x;\n}\n.progress-bar {\n background-image: -webkit-linear-gradient(top, #337ab7 0%, #286090 100%);\n background-image: -o-linear-gradient(top, #337ab7 0%, #286090 100%);\n background-image: -webkit-gradient(linear, left top, left bottom, from(#337ab7), to(#286090));\n background-image: linear-gradient(to bottom, #337ab7 0%, #286090 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff286090', GradientType=0);\n background-repeat: repeat-x;\n}\n.progress-bar-success {\n background-image: -webkit-linear-gradient(top, #5cb85c 0%, #449d44 100%);\n background-image: -o-linear-gradient(top, #5cb85c 0%, #449d44 100%);\n background-image: -webkit-gradient(linear, left top, left bottom, from(#5cb85c), to(#449d44));\n background-image: linear-gradient(to bottom, #5cb85c 0%, #449d44 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5cb85c', endColorstr='#ff449d44', GradientType=0);\n background-repeat: repeat-x;\n}\n.progress-bar-info {\n background-image: -webkit-linear-gradient(top, #5bc0de 0%, #31b0d5 100%);\n background-image: -o-linear-gradient(top, #5bc0de 0%, #31b0d5 100%);\n background-image: -webkit-gradient(linear, left top, left bottom, from(#5bc0de), to(#31b0d5));\n background-image: linear-gradient(to bottom, #5bc0de 0%, #31b0d5 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5bc0de', endColorstr='#ff31b0d5', GradientType=0);\n background-repeat: repeat-x;\n}\n.progress-bar-warning {\n background-image: -webkit-linear-gradient(top, #f0ad4e 0%, #ec971f 100%);\n background-image: -o-linear-gradient(top, #f0ad4e 0%, #ec971f 100%);\n background-image: -webkit-gradient(linear, left top, left bottom, from(#f0ad4e), to(#ec971f));\n background-image: linear-gradient(to bottom, #f0ad4e 0%, #ec971f 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff0ad4e', endColorstr='#ffec971f', GradientType=0);\n background-repeat: repeat-x;\n}\n.progress-bar-danger {\n background-image: -webkit-linear-gradient(top, #d9534f 0%, #c9302c 100%);\n background-image: -o-linear-gradient(top, #d9534f 0%, #c9302c 100%);\n background-image: -webkit-gradient(linear, left top, left bottom, from(#d9534f), to(#c9302c));\n background-image: linear-gradient(to bottom, #d9534f 0%, #c9302c 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9534f', endColorstr='#ffc9302c', GradientType=0);\n background-repeat: repeat-x;\n}\n.progress-bar-striped {\n background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n}\n.list-group {\n border-radius: 4px;\n -webkit-box-shadow: 0 1px 2px rgba(0, 0, 0, 0.075);\n box-shadow: 0 1px 2px rgba(0, 0, 0, 0.075);\n}\n.list-group-item.active,\n.list-group-item.active:hover,\n.list-group-item.active:focus {\n text-shadow: 0 -1px 0 #286090;\n background-image: -webkit-linear-gradient(top, #337ab7 0%, #2b669a 100%);\n background-image: -o-linear-gradient(top, #337ab7 0%, #2b669a 100%);\n background-image: -webkit-gradient(linear, left top, left bottom, from(#337ab7), to(#2b669a));\n background-image: linear-gradient(to bottom, #337ab7 0%, #2b669a 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2b669a', GradientType=0);\n background-repeat: repeat-x;\n border-color: #2b669a;\n}\n.list-group-item.active .badge,\n.list-group-item.active:hover .badge,\n.list-group-item.active:focus .badge {\n text-shadow: none;\n}\n.panel {\n -webkit-box-shadow: 0 1px 2px rgba(0, 0, 0, 0.05);\n box-shadow: 0 1px 2px rgba(0, 0, 0, 0.05);\n}\n.panel-default > .panel-heading {\n background-image: -webkit-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%);\n background-image: -o-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%);\n background-image: -webkit-gradient(linear, left top, left bottom, from(#f5f5f5), to(#e8e8e8));\n background-image: linear-gradient(to bottom, #f5f5f5 0%, #e8e8e8 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff5f5f5', endColorstr='#ffe8e8e8', GradientType=0);\n background-repeat: repeat-x;\n}\n.panel-primary > .panel-heading {\n background-image: -webkit-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n background-image: -o-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n background-image: -webkit-gradient(linear, left top, left bottom, from(#337ab7), to(#2e6da4));\n background-image: linear-gradient(to bottom, #337ab7 0%, #2e6da4 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2e6da4', GradientType=0);\n background-repeat: repeat-x;\n}\n.panel-success > .panel-heading {\n background-image: -webkit-linear-gradient(top, #dff0d8 0%, #d0e9c6 100%);\n background-image: -o-linear-gradient(top, #dff0d8 0%, #d0e9c6 100%);\n background-image: -webkit-gradient(linear, left top, left bottom, from(#dff0d8), to(#d0e9c6));\n background-image: linear-gradient(to bottom, #dff0d8 0%, #d0e9c6 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffdff0d8', endColorstr='#ffd0e9c6', GradientType=0);\n background-repeat: repeat-x;\n}\n.panel-info > .panel-heading {\n background-image: -webkit-linear-gradient(top, #d9edf7 0%, #c4e3f3 100%);\n background-image: -o-linear-gradient(top, #d9edf7 0%, #c4e3f3 100%);\n background-image: -webkit-gradient(linear, left top, left bottom, from(#d9edf7), to(#c4e3f3));\n background-image: linear-gradient(to bottom, #d9edf7 0%, #c4e3f3 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9edf7', endColorstr='#ffc4e3f3', GradientType=0);\n background-repeat: repeat-x;\n}\n.panel-warning > .panel-heading {\n background-image: -webkit-linear-gradient(top, #fcf8e3 0%, #faf2cc 100%);\n background-image: -o-linear-gradient(top, #fcf8e3 0%, #faf2cc 100%);\n background-image: -webkit-gradient(linear, left top, left bottom, from(#fcf8e3), to(#faf2cc));\n background-image: linear-gradient(to bottom, #fcf8e3 0%, #faf2cc 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fffcf8e3', endColorstr='#fffaf2cc', GradientType=0);\n background-repeat: repeat-x;\n}\n.panel-danger > .panel-heading {\n background-image: -webkit-linear-gradient(top, #f2dede 0%, #ebcccc 100%);\n background-image: -o-linear-gradient(top, #f2dede 0%, #ebcccc 100%);\n background-image: -webkit-gradient(linear, left top, left bottom, from(#f2dede), to(#ebcccc));\n background-image: linear-gradient(to bottom, #f2dede 0%, #ebcccc 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff2dede', endColorstr='#ffebcccc', GradientType=0);\n background-repeat: repeat-x;\n}\n.well {\n background-image: -webkit-linear-gradient(top, #e8e8e8 0%, #f5f5f5 100%);\n background-image: -o-linear-gradient(top, #e8e8e8 0%, #f5f5f5 100%);\n background-image: -webkit-gradient(linear, left top, left bottom, from(#e8e8e8), to(#f5f5f5));\n background-image: linear-gradient(to bottom, #e8e8e8 0%, #f5f5f5 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffe8e8e8', endColorstr='#fff5f5f5', GradientType=0);\n background-repeat: repeat-x;\n border-color: #dcdcdc;\n -webkit-box-shadow: inset 0 1px 3px rgba(0, 0, 0, 0.05), 0 1px 0 rgba(255, 255, 255, 0.1);\n box-shadow: inset 0 1px 3px rgba(0, 0, 0, 0.05), 0 1px 0 rgba(255, 255, 255, 0.1);\n}\n/*# sourceMappingURL=bootstrap-theme.css.map */","// stylelint-disable selector-no-qualifying-type, selector-max-compound-selectors\n\n/*!\n * Bootstrap v3.4.1 (https://getbootstrap.com/)\n * Copyright 2011-2019 Twitter, Inc.\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)\n */\n\n//\n// Load core variables and mixins\n// --------------------------------------------------\n\n@import \"variables.less\";\n@import \"mixins.less\";\n\n\n//\n// Buttons\n// --------------------------------------------------\n\n// Common styles\n.btn-default,\n.btn-primary,\n.btn-success,\n.btn-info,\n.btn-warning,\n.btn-danger {\n text-shadow: 0 -1px 0 rgba(0, 0, 0, .2);\n @shadow: inset 0 1px 0 rgba(255, 255, 255, .15), 0 1px 1px rgba(0, 0, 0, .075);\n .box-shadow(@shadow);\n\n // Reset the shadow\n &:active,\n &.active {\n .box-shadow(inset 0 3px 5px rgba(0, 0, 0, .125));\n }\n\n &.disabled,\n &[disabled],\n fieldset[disabled] & {\n .box-shadow(none);\n }\n\n .badge {\n text-shadow: none;\n }\n}\n\n// Mixin for generating new styles\n.btn-styles(@btn-color: #555) {\n #gradient > .vertical(@start-color: @btn-color; @end-color: darken(@btn-color, 12%));\n .reset-filter(); // Disable gradients for IE9 because filter bleeds through rounded corners; see https://github.com/twbs/bootstrap/issues/10620\n background-repeat: repeat-x;\n border-color: darken(@btn-color, 14%);\n\n &:hover,\n &:focus {\n background-color: darken(@btn-color, 12%);\n background-position: 0 -15px;\n }\n\n &:active,\n &.active {\n background-color: darken(@btn-color, 12%);\n border-color: darken(@btn-color, 14%);\n }\n\n &.disabled,\n &[disabled],\n fieldset[disabled] & {\n &,\n &:hover,\n &:focus,\n &.focus,\n &:active,\n &.active {\n background-color: darken(@btn-color, 12%);\n background-image: none;\n }\n }\n}\n\n// Common styles\n.btn {\n // Remove the gradient for the pressed/active state\n &:active,\n &.active {\n background-image: none;\n }\n}\n\n// Apply the mixin to the buttons\n.btn-default {\n .btn-styles(@btn-default-bg);\n text-shadow: 0 1px 0 #fff;\n border-color: #ccc;\n}\n.btn-primary { .btn-styles(@btn-primary-bg); }\n.btn-success { .btn-styles(@btn-success-bg); }\n.btn-info { .btn-styles(@btn-info-bg); }\n.btn-warning { .btn-styles(@btn-warning-bg); }\n.btn-danger { .btn-styles(@btn-danger-bg); }\n\n\n//\n// Images\n// --------------------------------------------------\n\n.thumbnail,\n.img-thumbnail {\n .box-shadow(0 1px 2px rgba(0, 0, 0, .075));\n}\n\n\n//\n// Dropdowns\n// --------------------------------------------------\n\n.dropdown-menu > li > a:hover,\n.dropdown-menu > li > a:focus {\n #gradient > .vertical(@start-color: @dropdown-link-hover-bg; @end-color: darken(@dropdown-link-hover-bg, 5%));\n background-color: darken(@dropdown-link-hover-bg, 5%);\n}\n.dropdown-menu > .active > a,\n.dropdown-menu > .active > a:hover,\n.dropdown-menu > .active > a:focus {\n #gradient > .vertical(@start-color: @dropdown-link-active-bg; @end-color: darken(@dropdown-link-active-bg, 5%));\n background-color: darken(@dropdown-link-active-bg, 5%);\n}\n\n\n//\n// Navbar\n// --------------------------------------------------\n\n// Default navbar\n.navbar-default {\n #gradient > .vertical(@start-color: lighten(@navbar-default-bg, 10%); @end-color: @navbar-default-bg);\n .reset-filter(); // Remove gradient in IE<10 to fix bug where dropdowns don't get triggered\n border-radius: @navbar-border-radius;\n @shadow: inset 0 1px 0 rgba(255, 255, 255, .15), 0 1px 5px rgba(0, 0, 0, .075);\n .box-shadow(@shadow);\n\n .navbar-nav > .open > a,\n .navbar-nav > .active > a {\n #gradient > .vertical(@start-color: darken(@navbar-default-link-active-bg, 5%); @end-color: darken(@navbar-default-link-active-bg, 2%));\n .box-shadow(inset 0 3px 9px rgba(0, 0, 0, .075));\n }\n}\n.navbar-brand,\n.navbar-nav > li > a {\n text-shadow: 0 1px 0 rgba(255, 255, 255, .25);\n}\n\n// Inverted navbar\n.navbar-inverse {\n #gradient > .vertical(@start-color: lighten(@navbar-inverse-bg, 10%); @end-color: @navbar-inverse-bg);\n .reset-filter(); // Remove gradient in IE<10 to fix bug where dropdowns don't get triggered; see https://github.com/twbs/bootstrap/issues/10257\n border-radius: @navbar-border-radius;\n .navbar-nav > .open > a,\n .navbar-nav > .active > a {\n #gradient > .vertical(@start-color: @navbar-inverse-link-active-bg; @end-color: lighten(@navbar-inverse-link-active-bg, 2.5%));\n .box-shadow(inset 0 3px 9px rgba(0, 0, 0, .25));\n }\n\n .navbar-brand,\n .navbar-nav > li > a {\n text-shadow: 0 -1px 0 rgba(0, 0, 0, .25);\n }\n}\n\n// Undo rounded corners in static and fixed navbars\n.navbar-static-top,\n.navbar-fixed-top,\n.navbar-fixed-bottom {\n border-radius: 0;\n}\n\n// Fix active state of dropdown items in collapsed mode\n@media (max-width: @grid-float-breakpoint-max) {\n .navbar .navbar-nav .open .dropdown-menu > .active > a {\n &,\n &:hover,\n &:focus {\n color: #fff;\n #gradient > .vertical(@start-color: @dropdown-link-active-bg; @end-color: darken(@dropdown-link-active-bg, 5%));\n }\n }\n}\n\n\n//\n// Alerts\n// --------------------------------------------------\n\n// Common styles\n.alert {\n text-shadow: 0 1px 0 rgba(255, 255, 255, .2);\n @shadow: inset 0 1px 0 rgba(255, 255, 255, .25), 0 1px 2px rgba(0, 0, 0, .05);\n .box-shadow(@shadow);\n}\n\n// Mixin for generating new styles\n.alert-styles(@color) {\n #gradient > .vertical(@start-color: @color; @end-color: darken(@color, 7.5%));\n border-color: darken(@color, 15%);\n}\n\n// Apply the mixin to the alerts\n.alert-success { .alert-styles(@alert-success-bg); }\n.alert-info { .alert-styles(@alert-info-bg); }\n.alert-warning { .alert-styles(@alert-warning-bg); }\n.alert-danger { .alert-styles(@alert-danger-bg); }\n\n\n//\n// Progress bars\n// --------------------------------------------------\n\n// Give the progress background some depth\n.progress {\n #gradient > .vertical(@start-color: darken(@progress-bg, 4%); @end-color: @progress-bg)\n}\n\n// Mixin for generating new styles\n.progress-bar-styles(@color) {\n #gradient > .vertical(@start-color: @color; @end-color: darken(@color, 10%));\n}\n\n// Apply the mixin to the progress bars\n.progress-bar { .progress-bar-styles(@progress-bar-bg); }\n.progress-bar-success { .progress-bar-styles(@progress-bar-success-bg); }\n.progress-bar-info { .progress-bar-styles(@progress-bar-info-bg); }\n.progress-bar-warning { .progress-bar-styles(@progress-bar-warning-bg); }\n.progress-bar-danger { .progress-bar-styles(@progress-bar-danger-bg); }\n\n// Reset the striped class because our mixins don't do multiple gradients and\n// the above custom styles override the new `.progress-bar-striped` in v3.2.0.\n.progress-bar-striped {\n #gradient > .striped();\n}\n\n\n//\n// List groups\n// --------------------------------------------------\n\n.list-group {\n border-radius: @border-radius-base;\n .box-shadow(0 1px 2px rgba(0, 0, 0, .075));\n}\n.list-group-item.active,\n.list-group-item.active:hover,\n.list-group-item.active:focus {\n text-shadow: 0 -1px 0 darken(@list-group-active-bg, 10%);\n #gradient > .vertical(@start-color: @list-group-active-bg; @end-color: darken(@list-group-active-bg, 7.5%));\n border-color: darken(@list-group-active-border, 7.5%);\n\n .badge {\n text-shadow: none;\n }\n}\n\n\n//\n// Panels\n// --------------------------------------------------\n\n// Common styles\n.panel {\n .box-shadow(0 1px 2px rgba(0, 0, 0, .05));\n}\n\n// Mixin for generating new styles\n.panel-heading-styles(@color) {\n #gradient > .vertical(@start-color: @color; @end-color: darken(@color, 5%));\n}\n\n// Apply the mixin to the panel headings only\n.panel-default > .panel-heading { .panel-heading-styles(@panel-default-heading-bg); }\n.panel-primary > .panel-heading { .panel-heading-styles(@panel-primary-heading-bg); }\n.panel-success > .panel-heading { .panel-heading-styles(@panel-success-heading-bg); }\n.panel-info > .panel-heading { .panel-heading-styles(@panel-info-heading-bg); }\n.panel-warning > .panel-heading { .panel-heading-styles(@panel-warning-heading-bg); }\n.panel-danger > .panel-heading { .panel-heading-styles(@panel-danger-heading-bg); }\n\n\n//\n// Wells\n// --------------------------------------------------\n\n.well {\n #gradient > .vertical(@start-color: darken(@well-bg, 5%); @end-color: @well-bg);\n border-color: darken(@well-bg, 10%);\n @shadow: inset 0 1px 3px rgba(0, 0, 0, .05), 0 1px 0 rgba(255, 255, 255, .1);\n .box-shadow(@shadow);\n}\n","// stylelint-disable indentation, property-no-vendor-prefix, selector-no-vendor-prefix\n\n// Vendor Prefixes\n//\n// All vendor mixins are deprecated as of v3.2.0 due to the introduction of\n// Autoprefixer in our Gruntfile. They have been removed in v4.\n\n// - Animations\n// - Backface visibility\n// - Box shadow\n// - Box sizing\n// - Content columns\n// - Hyphens\n// - Placeholder text\n// - Transformations\n// - Transitions\n// - User Select\n\n\n// Animations\n.animation(@animation) {\n -webkit-animation: @animation;\n -o-animation: @animation;\n animation: @animation;\n}\n.animation-name(@name) {\n -webkit-animation-name: @name;\n animation-name: @name;\n}\n.animation-duration(@duration) {\n -webkit-animation-duration: @duration;\n animation-duration: @duration;\n}\n.animation-timing-function(@timing-function) {\n -webkit-animation-timing-function: @timing-function;\n animation-timing-function: @timing-function;\n}\n.animation-delay(@delay) {\n -webkit-animation-delay: @delay;\n animation-delay: @delay;\n}\n.animation-iteration-count(@iteration-count) {\n -webkit-animation-iteration-count: @iteration-count;\n animation-iteration-count: @iteration-count;\n}\n.animation-direction(@direction) {\n -webkit-animation-direction: @direction;\n animation-direction: @direction;\n}\n.animation-fill-mode(@fill-mode) {\n -webkit-animation-fill-mode: @fill-mode;\n animation-fill-mode: @fill-mode;\n}\n\n// Backface visibility\n// Prevent browsers from flickering when using CSS 3D transforms.\n// Default value is `visible`, but can be changed to `hidden`\n\n.backface-visibility(@visibility) {\n -webkit-backface-visibility: @visibility;\n -moz-backface-visibility: @visibility;\n backface-visibility: @visibility;\n}\n\n// Drop shadows\n//\n// Note: Deprecated `.box-shadow()` as of v3.1.0 since all of Bootstrap's\n// supported browsers that have box shadow capabilities now support it.\n\n.box-shadow(@shadow) {\n -webkit-box-shadow: @shadow; // iOS <4.3 & Android <4.1\n box-shadow: @shadow;\n}\n\n// Box sizing\n.box-sizing(@boxmodel) {\n -webkit-box-sizing: @boxmodel;\n -moz-box-sizing: @boxmodel;\n box-sizing: @boxmodel;\n}\n\n// CSS3 Content Columns\n.content-columns(@column-count; @column-gap: @grid-gutter-width) {\n -webkit-column-count: @column-count;\n -moz-column-count: @column-count;\n column-count: @column-count;\n -webkit-column-gap: @column-gap;\n -moz-column-gap: @column-gap;\n column-gap: @column-gap;\n}\n\n// Optional hyphenation\n.hyphens(@mode: auto) {\n -webkit-hyphens: @mode;\n -moz-hyphens: @mode;\n -ms-hyphens: @mode; // IE10+\n -o-hyphens: @mode;\n hyphens: @mode;\n word-wrap: break-word;\n}\n\n// Placeholder text\n.placeholder(@color: @input-color-placeholder) {\n // Firefox\n &::-moz-placeholder {\n color: @color;\n opacity: 1; // Override Firefox's unusual default opacity; see https://github.com/twbs/bootstrap/pull/11526\n }\n &:-ms-input-placeholder { color: @color; } // Internet Explorer 10+\n &::-webkit-input-placeholder { color: @color; } // Safari and Chrome\n}\n\n// Transformations\n.scale(@ratio) {\n -webkit-transform: scale(@ratio);\n -ms-transform: scale(@ratio); // IE9 only\n -o-transform: scale(@ratio);\n transform: scale(@ratio);\n}\n.scale(@ratioX; @ratioY) {\n -webkit-transform: scale(@ratioX, @ratioY);\n -ms-transform: scale(@ratioX, @ratioY); // IE9 only\n -o-transform: scale(@ratioX, @ratioY);\n transform: scale(@ratioX, @ratioY);\n}\n.scaleX(@ratio) {\n -webkit-transform: scaleX(@ratio);\n -ms-transform: scaleX(@ratio); // IE9 only\n -o-transform: scaleX(@ratio);\n transform: scaleX(@ratio);\n}\n.scaleY(@ratio) {\n -webkit-transform: scaleY(@ratio);\n -ms-transform: scaleY(@ratio); // IE9 only\n -o-transform: scaleY(@ratio);\n transform: scaleY(@ratio);\n}\n.skew(@x; @y) {\n -webkit-transform: skewX(@x) skewY(@y);\n -ms-transform: skewX(@x) skewY(@y); // See https://github.com/twbs/bootstrap/issues/4885; IE9+\n -o-transform: skewX(@x) skewY(@y);\n transform: skewX(@x) skewY(@y);\n}\n.translate(@x; @y) {\n -webkit-transform: translate(@x, @y);\n -ms-transform: translate(@x, @y); // IE9 only\n -o-transform: translate(@x, @y);\n transform: translate(@x, @y);\n}\n.translate3d(@x; @y; @z) {\n -webkit-transform: translate3d(@x, @y, @z);\n transform: translate3d(@x, @y, @z);\n}\n.rotate(@degrees) {\n -webkit-transform: rotate(@degrees);\n -ms-transform: rotate(@degrees); // IE9 only\n -o-transform: rotate(@degrees);\n transform: rotate(@degrees);\n}\n.rotateX(@degrees) {\n -webkit-transform: rotateX(@degrees);\n -ms-transform: rotateX(@degrees); // IE9 only\n -o-transform: rotateX(@degrees);\n transform: rotateX(@degrees);\n}\n.rotateY(@degrees) {\n -webkit-transform: rotateY(@degrees);\n -ms-transform: rotateY(@degrees); // IE9 only\n -o-transform: rotateY(@degrees);\n transform: rotateY(@degrees);\n}\n.perspective(@perspective) {\n -webkit-perspective: @perspective;\n -moz-perspective: @perspective;\n perspective: @perspective;\n}\n.perspective-origin(@perspective) {\n -webkit-perspective-origin: @perspective;\n -moz-perspective-origin: @perspective;\n perspective-origin: @perspective;\n}\n.transform-origin(@origin) {\n -webkit-transform-origin: @origin;\n -moz-transform-origin: @origin;\n -ms-transform-origin: @origin; // IE9 only\n transform-origin: @origin;\n}\n\n\n// Transitions\n\n.transition(@transition) {\n -webkit-transition: @transition;\n -o-transition: @transition;\n transition: @transition;\n}\n.transition-property(@transition-property) {\n -webkit-transition-property: @transition-property;\n transition-property: @transition-property;\n}\n.transition-delay(@transition-delay) {\n -webkit-transition-delay: @transition-delay;\n transition-delay: @transition-delay;\n}\n.transition-duration(@transition-duration) {\n -webkit-transition-duration: @transition-duration;\n transition-duration: @transition-duration;\n}\n.transition-timing-function(@timing-function) {\n -webkit-transition-timing-function: @timing-function;\n transition-timing-function: @timing-function;\n}\n.transition-transform(@transition) {\n -webkit-transition: -webkit-transform @transition;\n -moz-transition: -moz-transform @transition;\n -o-transition: -o-transform @transition;\n transition: transform @transition;\n}\n\n\n// User select\n// For selecting text on the page\n\n.user-select(@select) {\n -webkit-user-select: @select;\n -moz-user-select: @select;\n -ms-user-select: @select; // IE10+\n user-select: @select;\n}\n","// stylelint-disable value-no-vendor-prefix, selector-max-id\n\n#gradient {\n\n // Horizontal gradient, from left to right\n //\n // Creates two color stops, start and end, by specifying a color and position for each color stop.\n // Color stops are not available in IE9 and below.\n .horizontal(@start-color: #555; @end-color: #333; @start-percent: 0%; @end-percent: 100%) {\n background-image: -webkit-linear-gradient(left, @start-color @start-percent, @end-color @end-percent); // Safari 5.1-6, Chrome 10+\n background-image: -o-linear-gradient(left, @start-color @start-percent, @end-color @end-percent); // Opera 12\n background-image: linear-gradient(to right, @start-color @start-percent, @end-color @end-percent); // Standard, IE10, Firefox 16+, Opera 12.10+, Safari 7+, Chrome 26+\n filter: e(%(\"progid:DXImageTransform.Microsoft.gradient(startColorstr='%d', endColorstr='%d', GradientType=1)\", argb(@start-color), argb(@end-color))); // IE9 and down\n background-repeat: repeat-x;\n }\n\n // Vertical gradient, from top to bottom\n //\n // Creates two color stops, start and end, by specifying a color and position for each color stop.\n // Color stops are not available in IE9 and below.\n .vertical(@start-color: #555; @end-color: #333; @start-percent: 0%; @end-percent: 100%) {\n background-image: -webkit-linear-gradient(top, @start-color @start-percent, @end-color @end-percent); // Safari 5.1-6, Chrome 10+\n background-image: -o-linear-gradient(top, @start-color @start-percent, @end-color @end-percent); // Opera 12\n background-image: linear-gradient(to bottom, @start-color @start-percent, @end-color @end-percent); // Standard, IE10, Firefox 16+, Opera 12.10+, Safari 7+, Chrome 26+\n filter: e(%(\"progid:DXImageTransform.Microsoft.gradient(startColorstr='%d', endColorstr='%d', GradientType=0)\", argb(@start-color), argb(@end-color))); // IE9 and down\n background-repeat: repeat-x;\n }\n\n .directional(@start-color: #555; @end-color: #333; @deg: 45deg) {\n background-image: -webkit-linear-gradient(@deg, @start-color, @end-color); // Safari 5.1-6, Chrome 10+\n background-image: -o-linear-gradient(@deg, @start-color, @end-color); // Opera 12\n background-image: linear-gradient(@deg, @start-color, @end-color); // Standard, IE10, Firefox 16+, Opera 12.10+, Safari 7+, Chrome 26+\n background-repeat: repeat-x;\n }\n .horizontal-three-colors(@start-color: #00b3ee; @mid-color: #7a43b6; @color-stop: 50%; @end-color: #c3325f) {\n background-image: -webkit-linear-gradient(left, @start-color, @mid-color @color-stop, @end-color);\n background-image: -o-linear-gradient(left, @start-color, @mid-color @color-stop, @end-color);\n background-image: linear-gradient(to right, @start-color, @mid-color @color-stop, @end-color);\n filter: e(%(\"progid:DXImageTransform.Microsoft.gradient(startColorstr='%d', endColorstr='%d', GradientType=1)\", argb(@start-color), argb(@end-color))); // IE9 and down, gets no color-stop at all for proper fallback\n background-repeat: no-repeat;\n }\n .vertical-three-colors(@start-color: #00b3ee; @mid-color: #7a43b6; @color-stop: 50%; @end-color: #c3325f) {\n background-image: -webkit-linear-gradient(@start-color, @mid-color @color-stop, @end-color);\n background-image: -o-linear-gradient(@start-color, @mid-color @color-stop, @end-color);\n background-image: linear-gradient(@start-color, @mid-color @color-stop, @end-color);\n filter: e(%(\"progid:DXImageTransform.Microsoft.gradient(startColorstr='%d', endColorstr='%d', GradientType=0)\", argb(@start-color), argb(@end-color))); // IE9 and down, gets no color-stop at all for proper fallback\n background-repeat: no-repeat;\n }\n .radial(@inner-color: #555; @outer-color: #333) {\n background-image: -webkit-radial-gradient(circle, @inner-color, @outer-color);\n background-image: radial-gradient(circle, @inner-color, @outer-color);\n background-repeat: no-repeat;\n }\n .striped(@color: rgba(255, 255, 255, .15); @angle: 45deg) {\n background-image: -webkit-linear-gradient(@angle, @color 25%, transparent 25%, transparent 50%, @color 50%, @color 75%, transparent 75%, transparent);\n background-image: -o-linear-gradient(@angle, @color 25%, transparent 25%, transparent 50%, @color 50%, @color 75%, transparent 75%, transparent);\n background-image: linear-gradient(@angle, @color 25%, transparent 25%, transparent 50%, @color 50%, @color 75%, transparent 75%, transparent);\n }\n}\n","// Reset filters for IE\n//\n// When you need to remove a gradient background, do not forget to use this to reset\n// the IE filter for IE9 and below.\n\n.reset-filter() {\n filter: e(%(\"progid:DXImageTransform.Microsoft.gradient(enabled = false)\"));\n}\n"]} \ No newline at end of file diff --git a/docs/build/html/_static/bootstrap-3.4.1/css/bootstrap.css b/docs/build/html/_static/bootstrap-3.4.1/css/bootstrap.css new file mode 100644 index 00000000..fcab4155 --- /dev/null +++ b/docs/build/html/_static/bootstrap-3.4.1/css/bootstrap.css @@ -0,0 +1,6834 @@ +/*! + * Bootstrap v3.4.1 (https://getbootstrap.com/) + * Copyright 2011-2019 Twitter, Inc. + * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE) + */ +/*! normalize.css v3.0.3 | MIT License | github.com/necolas/normalize.css */ +html { + font-family: sans-serif; + -ms-text-size-adjust: 100%; + -webkit-text-size-adjust: 100%; +} +body { + margin: 0; +} +article, +aside, +details, +figcaption, +figure, +footer, +header, +hgroup, +main, +menu, +nav, +section, +summary { + display: block; +} +audio, +canvas, +progress, +video { + display: inline-block; + vertical-align: baseline; +} +audio:not([controls]) { + display: none; + height: 0; +} +[hidden], +template { + display: none; +} +a { + background-color: transparent; +} +a:active, +a:hover { + outline: 0; +} +abbr[title] { + border-bottom: none; + text-decoration: underline; + -webkit-text-decoration: underline dotted; + -moz-text-decoration: underline dotted; + text-decoration: underline dotted; +} +b, +strong { + font-weight: bold; +} +dfn { + font-style: italic; +} +h1 { + font-size: 2em; + margin: 0.67em 0; +} +mark { + background: #ff0; + color: #000; +} +small { + font-size: 80%; +} +sub, +sup { + font-size: 75%; + line-height: 0; + position: relative; + vertical-align: baseline; +} +sup { + top: -0.5em; +} +sub { + bottom: -0.25em; +} +img { + border: 0; +} +svg:not(:root) { + overflow: hidden; +} +figure { + margin: 1em 40px; +} +hr { + -webkit-box-sizing: content-box; + -moz-box-sizing: content-box; + box-sizing: content-box; + height: 0; +} +pre { + overflow: auto; +} +code, +kbd, +pre, +samp { + font-family: monospace, monospace; + font-size: 1em; +} +button, +input, +optgroup, +select, +textarea { + color: inherit; + font: inherit; + margin: 0; +} +button { + overflow: visible; +} +button, +select { + text-transform: none; +} +button, +html input[type="button"], +input[type="reset"], +input[type="submit"] { + -webkit-appearance: button; + cursor: pointer; +} +button[disabled], +html input[disabled] { + cursor: default; +} +button::-moz-focus-inner, +input::-moz-focus-inner { + border: 0; + padding: 0; +} +input { + line-height: normal; +} +input[type="checkbox"], +input[type="radio"] { + -webkit-box-sizing: border-box; + -moz-box-sizing: border-box; + box-sizing: border-box; + padding: 0; +} +input[type="number"]::-webkit-inner-spin-button, +input[type="number"]::-webkit-outer-spin-button { + height: auto; +} +input[type="search"] { + -webkit-appearance: textfield; + -webkit-box-sizing: content-box; + -moz-box-sizing: content-box; + box-sizing: content-box; +} +input[type="search"]::-webkit-search-cancel-button, +input[type="search"]::-webkit-search-decoration { + -webkit-appearance: none; +} +fieldset { + border: 1px solid #c0c0c0; + margin: 0 2px; + padding: 0.35em 0.625em 0.75em; +} +legend { + border: 0; + padding: 0; +} +textarea { + overflow: auto; +} +optgroup { + font-weight: bold; +} +table { + border-collapse: collapse; + border-spacing: 0; +} +td, +th { + padding: 0; +} +/*! Source: https://github.com/h5bp/html5-boilerplate/blob/master/src/css/main.css */ +@media print { + *, + *:before, + *:after { + color: #000 !important; + text-shadow: none !important; + background: transparent !important; + -webkit-box-shadow: none !important; + box-shadow: none !important; + } + a, + a:visited { + text-decoration: underline; + } + a[href]:after { + content: " (" attr(href) ")"; + } + abbr[title]:after { + content: " (" attr(title) ")"; + } + a[href^="#"]:after, + a[href^="javascript:"]:after { + content: ""; + } + pre, + blockquote { + border: 1px solid #999; + page-break-inside: avoid; + } + thead { + display: table-header-group; + } + tr, + img { + page-break-inside: avoid; + } + img { + max-width: 100% !important; + } + p, + h2, + h3 { + orphans: 3; + widows: 3; + } + h2, + h3 { + page-break-after: avoid; + } + .navbar { + display: none; + } + .btn > .caret, + .dropup > .btn > .caret { + border-top-color: #000 !important; + } + .label { + border: 1px solid #000; + } + .table { + border-collapse: collapse !important; + } + .table td, + .table th { + background-color: #fff !important; + } + .table-bordered th, + .table-bordered td { + border: 1px solid #ddd !important; + } +} +@font-face { + font-family: "Glyphicons Halflings"; + src: url("../fonts/glyphicons-halflings-regular.eot"); + src: url("../fonts/glyphicons-halflings-regular.eot?#iefix") format("embedded-opentype"), url("../fonts/glyphicons-halflings-regular.woff2") format("woff2"), url("../fonts/glyphicons-halflings-regular.woff") format("woff"), url("../fonts/glyphicons-halflings-regular.ttf") format("truetype"), url("../fonts/glyphicons-halflings-regular.svg#glyphicons_halflingsregular") format("svg"); +} +.glyphicon { + position: relative; + top: 1px; + display: inline-block; + font-family: "Glyphicons Halflings"; + font-style: normal; + font-weight: 400; + line-height: 1; + -webkit-font-smoothing: antialiased; + -moz-osx-font-smoothing: grayscale; +} +.glyphicon-asterisk:before { + content: "\002a"; +} +.glyphicon-plus:before { + content: "\002b"; +} +.glyphicon-euro:before, +.glyphicon-eur:before { + content: "\20ac"; +} +.glyphicon-minus:before { + content: "\2212"; +} +.glyphicon-cloud:before { + content: "\2601"; +} +.glyphicon-envelope:before { + content: "\2709"; +} +.glyphicon-pencil:before { + content: "\270f"; +} +.glyphicon-glass:before { + content: "\e001"; +} +.glyphicon-music:before { + content: "\e002"; +} +.glyphicon-search:before { + content: "\e003"; +} +.glyphicon-heart:before { + content: "\e005"; +} +.glyphicon-star:before { + content: "\e006"; +} +.glyphicon-star-empty:before { + content: "\e007"; +} +.glyphicon-user:before { + content: "\e008"; +} +.glyphicon-film:before { + content: "\e009"; +} +.glyphicon-th-large:before { + content: "\e010"; +} +.glyphicon-th:before { + content: "\e011"; +} +.glyphicon-th-list:before { + content: "\e012"; +} +.glyphicon-ok:before { + content: "\e013"; +} +.glyphicon-remove:before { + content: "\e014"; +} +.glyphicon-zoom-in:before { + content: "\e015"; +} +.glyphicon-zoom-out:before { + content: "\e016"; +} +.glyphicon-off:before { + content: "\e017"; +} +.glyphicon-signal:before { + content: "\e018"; +} +.glyphicon-cog:before { + content: "\e019"; +} +.glyphicon-trash:before { + content: "\e020"; +} +.glyphicon-home:before { + content: "\e021"; +} +.glyphicon-file:before { + content: "\e022"; +} +.glyphicon-time:before { + content: "\e023"; +} +.glyphicon-road:before { + content: "\e024"; +} +.glyphicon-download-alt:before { + content: "\e025"; +} +.glyphicon-download:before { + content: "\e026"; +} +.glyphicon-upload:before { + content: "\e027"; +} +.glyphicon-inbox:before { + content: "\e028"; +} +.glyphicon-play-circle:before { + content: "\e029"; +} +.glyphicon-repeat:before { + content: "\e030"; +} +.glyphicon-refresh:before { + content: "\e031"; +} +.glyphicon-list-alt:before { + content: "\e032"; +} +.glyphicon-lock:before { + content: "\e033"; +} +.glyphicon-flag:before { + content: "\e034"; +} +.glyphicon-headphones:before { + content: "\e035"; +} +.glyphicon-volume-off:before { + content: "\e036"; +} +.glyphicon-volume-down:before { + content: "\e037"; +} +.glyphicon-volume-up:before { + content: "\e038"; +} +.glyphicon-qrcode:before { + content: "\e039"; +} +.glyphicon-barcode:before { + content: "\e040"; +} +.glyphicon-tag:before { + content: "\e041"; +} +.glyphicon-tags:before { + content: "\e042"; +} +.glyphicon-book:before { + content: "\e043"; +} +.glyphicon-bookmark:before { + content: "\e044"; +} +.glyphicon-print:before { + content: "\e045"; +} +.glyphicon-camera:before { + content: "\e046"; +} +.glyphicon-font:before { + content: "\e047"; +} +.glyphicon-bold:before { + content: "\e048"; +} +.glyphicon-italic:before { + content: "\e049"; +} +.glyphicon-text-height:before { + content: "\e050"; +} +.glyphicon-text-width:before { + content: "\e051"; +} +.glyphicon-align-left:before { + content: "\e052"; +} +.glyphicon-align-center:before { + content: "\e053"; +} +.glyphicon-align-right:before { + content: "\e054"; +} +.glyphicon-align-justify:before { + content: "\e055"; +} +.glyphicon-list:before { + content: "\e056"; +} +.glyphicon-indent-left:before { + content: "\e057"; +} +.glyphicon-indent-right:before { + content: "\e058"; +} +.glyphicon-facetime-video:before { + content: "\e059"; +} +.glyphicon-picture:before { + content: "\e060"; +} +.glyphicon-map-marker:before { + content: "\e062"; +} +.glyphicon-adjust:before { + content: "\e063"; +} +.glyphicon-tint:before { + content: "\e064"; +} +.glyphicon-edit:before { + content: "\e065"; +} +.glyphicon-share:before { + content: "\e066"; +} +.glyphicon-check:before { + content: "\e067"; +} +.glyphicon-move:before { + content: "\e068"; +} +.glyphicon-step-backward:before { + content: "\e069"; +} +.glyphicon-fast-backward:before { + content: "\e070"; +} +.glyphicon-backward:before { + content: "\e071"; +} +.glyphicon-play:before { + content: "\e072"; +} +.glyphicon-pause:before { + content: "\e073"; +} +.glyphicon-stop:before { + content: "\e074"; +} +.glyphicon-forward:before { + content: "\e075"; +} +.glyphicon-fast-forward:before { + content: "\e076"; +} +.glyphicon-step-forward:before { + content: "\e077"; +} +.glyphicon-eject:before { + content: "\e078"; +} +.glyphicon-chevron-left:before { + content: "\e079"; +} +.glyphicon-chevron-right:before { + content: "\e080"; +} +.glyphicon-plus-sign:before { + content: "\e081"; +} +.glyphicon-minus-sign:before { + content: "\e082"; +} +.glyphicon-remove-sign:before { + content: "\e083"; +} +.glyphicon-ok-sign:before { + content: "\e084"; +} +.glyphicon-question-sign:before { + content: "\e085"; +} +.glyphicon-info-sign:before { + content: "\e086"; +} +.glyphicon-screenshot:before { + content: "\e087"; +} +.glyphicon-remove-circle:before { + content: "\e088"; +} +.glyphicon-ok-circle:before { + content: "\e089"; +} +.glyphicon-ban-circle:before { + content: "\e090"; +} +.glyphicon-arrow-left:before { + content: "\e091"; +} +.glyphicon-arrow-right:before { + content: "\e092"; +} +.glyphicon-arrow-up:before { + content: "\e093"; +} +.glyphicon-arrow-down:before { + content: "\e094"; +} +.glyphicon-share-alt:before { + content: "\e095"; +} +.glyphicon-resize-full:before { + content: "\e096"; +} +.glyphicon-resize-small:before { + content: "\e097"; +} +.glyphicon-exclamation-sign:before { + content: "\e101"; +} +.glyphicon-gift:before { + content: "\e102"; +} +.glyphicon-leaf:before { + content: "\e103"; +} +.glyphicon-fire:before { + content: "\e104"; +} +.glyphicon-eye-open:before { + content: "\e105"; +} +.glyphicon-eye-close:before { + content: "\e106"; +} +.glyphicon-warning-sign:before { + content: "\e107"; +} +.glyphicon-plane:before { + content: "\e108"; +} +.glyphicon-calendar:before { + content: "\e109"; +} +.glyphicon-random:before { + content: "\e110"; +} +.glyphicon-comment:before { + content: "\e111"; +} +.glyphicon-magnet:before { + content: "\e112"; +} +.glyphicon-chevron-up:before { + content: "\e113"; +} +.glyphicon-chevron-down:before { + content: "\e114"; +} +.glyphicon-retweet:before { + content: "\e115"; +} +.glyphicon-shopping-cart:before { + content: "\e116"; +} +.glyphicon-folder-close:before { + content: "\e117"; +} +.glyphicon-folder-open:before { + content: "\e118"; +} +.glyphicon-resize-vertical:before { + content: "\e119"; +} +.glyphicon-resize-horizontal:before { + content: "\e120"; +} +.glyphicon-hdd:before { + content: "\e121"; +} +.glyphicon-bullhorn:before { + content: "\e122"; +} +.glyphicon-bell:before { + content: "\e123"; +} +.glyphicon-certificate:before { + content: "\e124"; +} +.glyphicon-thumbs-up:before { + content: "\e125"; +} +.glyphicon-thumbs-down:before { + content: "\e126"; +} +.glyphicon-hand-right:before { + content: "\e127"; +} +.glyphicon-hand-left:before { + content: "\e128"; +} +.glyphicon-hand-up:before { + content: "\e129"; +} +.glyphicon-hand-down:before { + content: "\e130"; +} +.glyphicon-circle-arrow-right:before { + content: "\e131"; +} +.glyphicon-circle-arrow-left:before { + content: "\e132"; +} +.glyphicon-circle-arrow-up:before { + content: "\e133"; +} +.glyphicon-circle-arrow-down:before { + content: "\e134"; +} +.glyphicon-globe:before { + content: "\e135"; +} +.glyphicon-wrench:before { + content: "\e136"; +} +.glyphicon-tasks:before { + content: "\e137"; +} +.glyphicon-filter:before { + content: "\e138"; +} +.glyphicon-briefcase:before { + content: "\e139"; +} +.glyphicon-fullscreen:before { + content: "\e140"; +} +.glyphicon-dashboard:before { + content: "\e141"; +} +.glyphicon-paperclip:before { + content: "\e142"; +} +.glyphicon-heart-empty:before { + content: "\e143"; +} +.glyphicon-link:before { + content: "\e144"; +} +.glyphicon-phone:before { + content: "\e145"; +} +.glyphicon-pushpin:before { + content: "\e146"; +} +.glyphicon-usd:before { + content: "\e148"; +} +.glyphicon-gbp:before { + content: "\e149"; +} +.glyphicon-sort:before { + content: "\e150"; +} +.glyphicon-sort-by-alphabet:before { + content: "\e151"; +} +.glyphicon-sort-by-alphabet-alt:before { + content: "\e152"; +} +.glyphicon-sort-by-order:before { + content: "\e153"; +} +.glyphicon-sort-by-order-alt:before { + content: "\e154"; +} +.glyphicon-sort-by-attributes:before { + content: "\e155"; +} +.glyphicon-sort-by-attributes-alt:before { + content: "\e156"; +} +.glyphicon-unchecked:before { + content: "\e157"; +} +.glyphicon-expand:before { + content: "\e158"; +} +.glyphicon-collapse-down:before { + content: "\e159"; +} +.glyphicon-collapse-up:before { + content: "\e160"; +} +.glyphicon-log-in:before { + content: "\e161"; +} +.glyphicon-flash:before { + content: "\e162"; +} +.glyphicon-log-out:before { + content: "\e163"; +} +.glyphicon-new-window:before { + content: "\e164"; +} +.glyphicon-record:before { + content: "\e165"; +} +.glyphicon-save:before { + content: "\e166"; +} +.glyphicon-open:before { + content: "\e167"; +} +.glyphicon-saved:before { + content: "\e168"; +} +.glyphicon-import:before { + content: "\e169"; +} +.glyphicon-export:before { + content: "\e170"; +} +.glyphicon-send:before { + content: "\e171"; +} +.glyphicon-floppy-disk:before { + content: "\e172"; +} +.glyphicon-floppy-saved:before { + content: "\e173"; +} +.glyphicon-floppy-remove:before { + content: "\e174"; +} +.glyphicon-floppy-save:before { + content: "\e175"; +} +.glyphicon-floppy-open:before { + content: "\e176"; +} +.glyphicon-credit-card:before { + content: "\e177"; +} +.glyphicon-transfer:before { + content: "\e178"; +} +.glyphicon-cutlery:before { + content: "\e179"; +} +.glyphicon-header:before { + content: "\e180"; +} +.glyphicon-compressed:before { + content: "\e181"; +} +.glyphicon-earphone:before { + content: "\e182"; +} +.glyphicon-phone-alt:before { + content: "\e183"; +} +.glyphicon-tower:before { + content: "\e184"; +} +.glyphicon-stats:before { + content: "\e185"; +} +.glyphicon-sd-video:before { + content: "\e186"; +} +.glyphicon-hd-video:before { + content: "\e187"; +} +.glyphicon-subtitles:before { + content: "\e188"; +} +.glyphicon-sound-stereo:before { + content: "\e189"; +} +.glyphicon-sound-dolby:before { + content: "\e190"; +} +.glyphicon-sound-5-1:before { + content: "\e191"; +} +.glyphicon-sound-6-1:before { + content: "\e192"; +} +.glyphicon-sound-7-1:before { + content: "\e193"; +} +.glyphicon-copyright-mark:before { + content: "\e194"; +} +.glyphicon-registration-mark:before { + content: "\e195"; +} +.glyphicon-cloud-download:before { + content: "\e197"; +} +.glyphicon-cloud-upload:before { + content: "\e198"; +} +.glyphicon-tree-conifer:before { + content: "\e199"; +} +.glyphicon-tree-deciduous:before { + content: "\e200"; +} +.glyphicon-cd:before { + content: "\e201"; +} +.glyphicon-save-file:before { + content: "\e202"; +} +.glyphicon-open-file:before { + content: "\e203"; +} +.glyphicon-level-up:before { + content: "\e204"; +} +.glyphicon-copy:before { + content: "\e205"; +} +.glyphicon-paste:before { + content: "\e206"; +} +.glyphicon-alert:before { + content: "\e209"; +} +.glyphicon-equalizer:before { + content: "\e210"; +} +.glyphicon-king:before { + content: "\e211"; +} +.glyphicon-queen:before { + content: "\e212"; +} +.glyphicon-pawn:before { + content: "\e213"; +} +.glyphicon-bishop:before { + content: "\e214"; +} +.glyphicon-knight:before { + content: "\e215"; +} +.glyphicon-baby-formula:before { + content: "\e216"; +} +.glyphicon-tent:before { + content: "\26fa"; +} +.glyphicon-blackboard:before { + content: "\e218"; +} +.glyphicon-bed:before { + content: "\e219"; +} +.glyphicon-apple:before { + content: "\f8ff"; +} +.glyphicon-erase:before { + content: "\e221"; +} +.glyphicon-hourglass:before { + content: "\231b"; +} +.glyphicon-lamp:before { + content: "\e223"; +} +.glyphicon-duplicate:before { + content: "\e224"; +} +.glyphicon-piggy-bank:before { + content: "\e225"; +} +.glyphicon-scissors:before { + content: "\e226"; +} +.glyphicon-bitcoin:before { + content: "\e227"; +} +.glyphicon-btc:before { + content: "\e227"; +} +.glyphicon-xbt:before { + content: "\e227"; +} +.glyphicon-yen:before { + content: "\00a5"; +} +.glyphicon-jpy:before { + content: "\00a5"; +} +.glyphicon-ruble:before { + content: "\20bd"; +} +.glyphicon-rub:before { + content: "\20bd"; +} +.glyphicon-scale:before { + content: "\e230"; +} +.glyphicon-ice-lolly:before { + content: "\e231"; +} +.glyphicon-ice-lolly-tasted:before { + content: "\e232"; +} +.glyphicon-education:before { + content: "\e233"; +} +.glyphicon-option-horizontal:before { + content: "\e234"; +} +.glyphicon-option-vertical:before { + content: "\e235"; +} +.glyphicon-menu-hamburger:before { + content: "\e236"; +} +.glyphicon-modal-window:before { + content: "\e237"; +} +.glyphicon-oil:before { + content: "\e238"; +} +.glyphicon-grain:before { + content: "\e239"; +} +.glyphicon-sunglasses:before { + content: "\e240"; +} +.glyphicon-text-size:before { + content: "\e241"; +} +.glyphicon-text-color:before { + content: "\e242"; +} +.glyphicon-text-background:before { + content: "\e243"; +} +.glyphicon-object-align-top:before { + content: "\e244"; +} +.glyphicon-object-align-bottom:before { + content: "\e245"; +} +.glyphicon-object-align-horizontal:before { + content: "\e246"; +} +.glyphicon-object-align-left:before { + content: "\e247"; +} +.glyphicon-object-align-vertical:before { + content: "\e248"; +} +.glyphicon-object-align-right:before { + content: "\e249"; +} +.glyphicon-triangle-right:before { + content: "\e250"; +} +.glyphicon-triangle-left:before { + content: "\e251"; +} +.glyphicon-triangle-bottom:before { + content: "\e252"; +} +.glyphicon-triangle-top:before { + content: "\e253"; +} +.glyphicon-console:before { + content: "\e254"; +} +.glyphicon-superscript:before { + content: "\e255"; +} +.glyphicon-subscript:before { + content: "\e256"; +} +.glyphicon-menu-left:before { + content: "\e257"; +} +.glyphicon-menu-right:before { + content: "\e258"; +} +.glyphicon-menu-down:before { + content: "\e259"; +} +.glyphicon-menu-up:before { + content: "\e260"; +} +* { + -webkit-box-sizing: border-box; + -moz-box-sizing: border-box; + box-sizing: border-box; +} +*:before, +*:after { + -webkit-box-sizing: border-box; + -moz-box-sizing: border-box; + box-sizing: border-box; +} +html { + font-size: 10px; + -webkit-tap-highlight-color: rgba(0, 0, 0, 0); +} +body { + font-family: "Helvetica Neue", Helvetica, Arial, sans-serif; + font-size: 14px; + line-height: 1.42857143; + color: #333333; + background-color: #fff; +} +input, +button, +select, +textarea { + font-family: inherit; + font-size: inherit; + line-height: inherit; +} +a { + color: #337ab7; + text-decoration: none; +} +a:hover, +a:focus { + color: #23527c; + text-decoration: underline; +} +a:focus { + outline: 5px auto -webkit-focus-ring-color; + outline-offset: -2px; +} +figure { + margin: 0; +} +img { + vertical-align: middle; +} +.img-responsive, +.thumbnail > img, +.thumbnail a > img, +.carousel-inner > .item > img, +.carousel-inner > .item > a > img { + display: block; + max-width: 100%; + height: auto; +} +.img-rounded { + border-radius: 6px; +} +.img-thumbnail { + padding: 4px; + line-height: 1.42857143; + background-color: #fff; + border: 1px solid #ddd; + border-radius: 4px; + -webkit-transition: all 0.2s ease-in-out; + -o-transition: all 0.2s ease-in-out; + transition: all 0.2s ease-in-out; + display: inline-block; + max-width: 100%; + height: auto; +} +.img-circle { + border-radius: 50%; +} +hr { + margin-top: 20px; + margin-bottom: 20px; + border: 0; + border-top: 1px solid #eeeeee; +} +.sr-only { + position: absolute; + width: 1px; + height: 1px; + padding: 0; + margin: -1px; + overflow: hidden; + clip: rect(0, 0, 0, 0); + border: 0; +} +.sr-only-focusable:active, +.sr-only-focusable:focus { + position: static; + width: auto; + height: auto; + margin: 0; + overflow: visible; + clip: auto; +} +[role="button"] { + cursor: pointer; +} +h1, +h2, +h3, +h4, +h5, +h6, +.h1, +.h2, +.h3, +.h4, +.h5, +.h6 { + font-family: inherit; + font-weight: 500; + line-height: 1.1; + color: inherit; +} +h1 small, +h2 small, +h3 small, +h4 small, +h5 small, +h6 small, +.h1 small, +.h2 small, +.h3 small, +.h4 small, +.h5 small, +.h6 small, +h1 .small, +h2 .small, +h3 .small, +h4 .small, +h5 .small, +h6 .small, +.h1 .small, +.h2 .small, +.h3 .small, +.h4 .small, +.h5 .small, +.h6 .small { + font-weight: 400; + line-height: 1; + color: #777777; +} +h1, +.h1, +h2, +.h2, +h3, +.h3 { + margin-top: 20px; + margin-bottom: 10px; +} +h1 small, +.h1 small, +h2 small, +.h2 small, +h3 small, +.h3 small, +h1 .small, +.h1 .small, +h2 .small, +.h2 .small, +h3 .small, +.h3 .small { + font-size: 65%; +} +h4, +.h4, +h5, +.h5, +h6, +.h6 { + margin-top: 10px; + margin-bottom: 10px; +} +h4 small, +.h4 small, +h5 small, +.h5 small, +h6 small, +.h6 small, +h4 .small, +.h4 .small, +h5 .small, +.h5 .small, +h6 .small, +.h6 .small { + font-size: 75%; +} +h1, +.h1 { + font-size: 36px; +} +h2, +.h2 { + font-size: 30px; +} +h3, +.h3 { + font-size: 24px; +} +h4, +.h4 { + font-size: 18px; +} +h5, +.h5 { + font-size: 14px; +} +h6, +.h6 { + font-size: 12px; +} +p { + margin: 0 0 10px; +} +.lead { + margin-bottom: 20px; + font-size: 16px; + font-weight: 300; + line-height: 1.4; +} +@media (min-width: 768px) { + .lead { + font-size: 21px; + } +} +small, +.small { + font-size: 85%; +} +mark, +.mark { + padding: 0.2em; + background-color: #fcf8e3; +} +.text-left { + text-align: left; +} +.text-right { + text-align: right; +} +.text-center { + text-align: center; +} +.text-justify { + text-align: justify; +} +.text-nowrap { + white-space: nowrap; +} +.text-lowercase { + text-transform: lowercase; +} +.text-uppercase { + text-transform: uppercase; +} +.text-capitalize { + text-transform: capitalize; +} +.text-muted { + color: #777777; +} +.text-primary { + color: #337ab7; +} +a.text-primary:hover, +a.text-primary:focus { + color: #286090; +} +.text-success { + color: #3c763d; +} +a.text-success:hover, +a.text-success:focus { + color: #2b542c; +} +.text-info { + color: #31708f; +} +a.text-info:hover, +a.text-info:focus { + color: #245269; +} +.text-warning { + color: #8a6d3b; +} +a.text-warning:hover, +a.text-warning:focus { + color: #66512c; +} +.text-danger { + color: #a94442; +} +a.text-danger:hover, +a.text-danger:focus { + color: #843534; +} +.bg-primary { + color: #fff; + background-color: #337ab7; +} +a.bg-primary:hover, +a.bg-primary:focus { + background-color: #286090; +} +.bg-success { + background-color: #dff0d8; +} +a.bg-success:hover, +a.bg-success:focus { + background-color: #c1e2b3; +} +.bg-info { + background-color: #d9edf7; +} +a.bg-info:hover, +a.bg-info:focus { + background-color: #afd9ee; +} +.bg-warning { + background-color: #fcf8e3; +} +a.bg-warning:hover, +a.bg-warning:focus { + background-color: #f7ecb5; +} +.bg-danger { + background-color: #f2dede; +} +a.bg-danger:hover, +a.bg-danger:focus { + background-color: #e4b9b9; +} +.page-header { + padding-bottom: 9px; + margin: 40px 0 20px; + border-bottom: 1px solid #eeeeee; +} +ul, +ol { + margin-top: 0; + margin-bottom: 10px; +} +ul ul, +ol ul, +ul ol, +ol ol { + margin-bottom: 0; +} +.list-unstyled { + padding-left: 0; + list-style: none; +} +.list-inline { + padding-left: 0; + list-style: none; + margin-left: -5px; +} +.list-inline > li { + display: inline-block; + padding-right: 5px; + padding-left: 5px; +} +dl { + margin-top: 0; + margin-bottom: 20px; +} +dt, +dd { + line-height: 1.42857143; +} +dt { + font-weight: 700; +} +dd { + margin-left: 0; +} +@media (min-width: 768px) { + .dl-horizontal dt { + float: left; + width: 160px; + clear: left; + text-align: right; + overflow: hidden; + text-overflow: ellipsis; + white-space: nowrap; + } + .dl-horizontal dd { + margin-left: 180px; + } +} +abbr[title], +abbr[data-original-title] { + cursor: help; +} +.initialism { + font-size: 90%; + text-transform: uppercase; +} +blockquote { + padding: 10px 20px; + margin: 0 0 20px; + font-size: 17.5px; + border-left: 5px solid #eeeeee; +} +blockquote p:last-child, +blockquote ul:last-child, +blockquote ol:last-child { + margin-bottom: 0; +} +blockquote footer, +blockquote small, +blockquote .small { + display: block; + font-size: 80%; + line-height: 1.42857143; + color: #777777; +} +blockquote footer:before, +blockquote small:before, +blockquote .small:before { + content: "\2014 \00A0"; +} +.blockquote-reverse, +blockquote.pull-right { + padding-right: 15px; + padding-left: 0; + text-align: right; + border-right: 5px solid #eeeeee; + border-left: 0; +} +.blockquote-reverse footer:before, +blockquote.pull-right footer:before, +.blockquote-reverse small:before, +blockquote.pull-right small:before, +.blockquote-reverse .small:before, +blockquote.pull-right .small:before { + content: ""; +} +.blockquote-reverse footer:after, +blockquote.pull-right footer:after, +.blockquote-reverse small:after, +blockquote.pull-right small:after, +.blockquote-reverse .small:after, +blockquote.pull-right .small:after { + content: "\00A0 \2014"; +} +address { + margin-bottom: 20px; + font-style: normal; + line-height: 1.42857143; +} +code, +kbd, +pre, +samp { + font-family: Menlo, Monaco, Consolas, "Courier New", monospace; +} +code { + padding: 2px 4px; + font-size: 90%; + color: #c7254e; + background-color: #f9f2f4; + border-radius: 4px; +} +kbd { + padding: 2px 4px; + font-size: 90%; + color: #fff; + background-color: #333; + border-radius: 3px; + -webkit-box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25); + box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25); +} +kbd kbd { + padding: 0; + font-size: 100%; + font-weight: 700; + -webkit-box-shadow: none; + box-shadow: none; +} +pre { + display: block; + padding: 9.5px; + margin: 0 0 10px; + font-size: 13px; + line-height: 1.42857143; + color: #333333; + word-break: break-all; + word-wrap: break-word; + background-color: #f5f5f5; + border: 1px solid #ccc; + border-radius: 4px; +} +pre code { + padding: 0; + font-size: inherit; + color: inherit; + white-space: pre-wrap; + background-color: transparent; + border-radius: 0; +} +.pre-scrollable { + max-height: 340px; + overflow-y: scroll; +} +.container { + padding-right: 15px; + padding-left: 15px; + margin-right: auto; + margin-left: auto; +} +@media (min-width: 768px) { + .container { + width: 750px; + } +} +@media (min-width: 992px) { + .container { + width: 970px; + } +} +@media (min-width: 1200px) { + .container { + width: 1170px; + } +} +.container-fluid { + padding-right: 15px; + padding-left: 15px; + margin-right: auto; + margin-left: auto; +} +.row { + margin-right: -15px; + margin-left: -15px; +} +.row-no-gutters { + margin-right: 0; + margin-left: 0; +} +.row-no-gutters [class*="col-"] { + padding-right: 0; + padding-left: 0; +} +.col-xs-1, +.col-sm-1, +.col-md-1, +.col-lg-1, +.col-xs-2, +.col-sm-2, +.col-md-2, +.col-lg-2, +.col-xs-3, +.col-sm-3, +.col-md-3, +.col-lg-3, +.col-xs-4, +.col-sm-4, +.col-md-4, +.col-lg-4, +.col-xs-5, +.col-sm-5, +.col-md-5, +.col-lg-5, +.col-xs-6, +.col-sm-6, +.col-md-6, +.col-lg-6, +.col-xs-7, +.col-sm-7, +.col-md-7, +.col-lg-7, +.col-xs-8, +.col-sm-8, +.col-md-8, +.col-lg-8, +.col-xs-9, +.col-sm-9, +.col-md-9, +.col-lg-9, +.col-xs-10, +.col-sm-10, +.col-md-10, +.col-lg-10, +.col-xs-11, +.col-sm-11, +.col-md-11, +.col-lg-11, +.col-xs-12, +.col-sm-12, +.col-md-12, +.col-lg-12 { + position: relative; + min-height: 1px; + padding-right: 15px; + padding-left: 15px; +} +.col-xs-1, +.col-xs-2, +.col-xs-3, +.col-xs-4, +.col-xs-5, +.col-xs-6, +.col-xs-7, +.col-xs-8, +.col-xs-9, +.col-xs-10, +.col-xs-11, +.col-xs-12 { + float: left; +} +.col-xs-12 { + width: 100%; +} +.col-xs-11 { + width: 91.66666667%; +} +.col-xs-10 { + width: 83.33333333%; +} +.col-xs-9 { + width: 75%; +} +.col-xs-8 { + width: 66.66666667%; +} +.col-xs-7 { + width: 58.33333333%; +} +.col-xs-6 { + width: 50%; +} +.col-xs-5 { + width: 41.66666667%; +} +.col-xs-4 { + width: 33.33333333%; +} +.col-xs-3 { + width: 25%; +} +.col-xs-2 { + width: 16.66666667%; +} +.col-xs-1 { + width: 8.33333333%; +} +.col-xs-pull-12 { + right: 100%; +} +.col-xs-pull-11 { + right: 91.66666667%; +} +.col-xs-pull-10 { + right: 83.33333333%; +} +.col-xs-pull-9 { + right: 75%; +} +.col-xs-pull-8 { + right: 66.66666667%; +} +.col-xs-pull-7 { + right: 58.33333333%; +} +.col-xs-pull-6 { + right: 50%; +} +.col-xs-pull-5 { + right: 41.66666667%; +} +.col-xs-pull-4 { + right: 33.33333333%; +} +.col-xs-pull-3 { + right: 25%; +} +.col-xs-pull-2 { + right: 16.66666667%; +} +.col-xs-pull-1 { + right: 8.33333333%; +} +.col-xs-pull-0 { + right: auto; +} +.col-xs-push-12 { + left: 100%; +} +.col-xs-push-11 { + left: 91.66666667%; +} +.col-xs-push-10 { + left: 83.33333333%; +} +.col-xs-push-9 { + left: 75%; +} +.col-xs-push-8 { + left: 66.66666667%; +} +.col-xs-push-7 { + left: 58.33333333%; +} +.col-xs-push-6 { + left: 50%; +} +.col-xs-push-5 { + left: 41.66666667%; +} +.col-xs-push-4 { + left: 33.33333333%; +} +.col-xs-push-3 { + left: 25%; +} +.col-xs-push-2 { + left: 16.66666667%; +} +.col-xs-push-1 { + left: 8.33333333%; +} +.col-xs-push-0 { + left: auto; +} +.col-xs-offset-12 { + margin-left: 100%; +} +.col-xs-offset-11 { + margin-left: 91.66666667%; +} +.col-xs-offset-10 { + margin-left: 83.33333333%; +} +.col-xs-offset-9 { + margin-left: 75%; +} +.col-xs-offset-8 { + margin-left: 66.66666667%; +} +.col-xs-offset-7 { + margin-left: 58.33333333%; +} +.col-xs-offset-6 { + margin-left: 50%; +} +.col-xs-offset-5 { + margin-left: 41.66666667%; +} +.col-xs-offset-4 { + margin-left: 33.33333333%; +} +.col-xs-offset-3 { + margin-left: 25%; +} +.col-xs-offset-2 { + margin-left: 16.66666667%; +} +.col-xs-offset-1 { + margin-left: 8.33333333%; +} +.col-xs-offset-0 { + margin-left: 0%; +} +@media (min-width: 768px) { + .col-sm-1, + .col-sm-2, + .col-sm-3, + .col-sm-4, + .col-sm-5, + .col-sm-6, + .col-sm-7, + .col-sm-8, + .col-sm-9, + .col-sm-10, + .col-sm-11, + .col-sm-12 { + float: left; + } + .col-sm-12 { + width: 100%; + } + .col-sm-11 { + width: 91.66666667%; + } + .col-sm-10 { + width: 83.33333333%; + } + .col-sm-9 { + width: 75%; + } + .col-sm-8 { + width: 66.66666667%; + } + .col-sm-7 { + width: 58.33333333%; + } + .col-sm-6 { + width: 50%; + } + .col-sm-5 { + width: 41.66666667%; + } + .col-sm-4 { + width: 33.33333333%; + } + .col-sm-3 { + width: 25%; + } + .col-sm-2 { + width: 16.66666667%; + } + .col-sm-1 { + width: 8.33333333%; + } + .col-sm-pull-12 { + right: 100%; + } + .col-sm-pull-11 { + right: 91.66666667%; + } + .col-sm-pull-10 { + right: 83.33333333%; + } + .col-sm-pull-9 { + right: 75%; + } + .col-sm-pull-8 { + right: 66.66666667%; + } + .col-sm-pull-7 { + right: 58.33333333%; + } + .col-sm-pull-6 { + right: 50%; + } + .col-sm-pull-5 { + right: 41.66666667%; + } + .col-sm-pull-4 { + right: 33.33333333%; + } + .col-sm-pull-3 { + right: 25%; + } + .col-sm-pull-2 { + right: 16.66666667%; + } + .col-sm-pull-1 { + right: 8.33333333%; + } + .col-sm-pull-0 { + right: auto; + } + .col-sm-push-12 { + left: 100%; + } + .col-sm-push-11 { + left: 91.66666667%; + } + .col-sm-push-10 { + left: 83.33333333%; + } + .col-sm-push-9 { + left: 75%; + } + .col-sm-push-8 { + left: 66.66666667%; + } + .col-sm-push-7 { + left: 58.33333333%; + } + .col-sm-push-6 { + left: 50%; + } + .col-sm-push-5 { + left: 41.66666667%; + } + .col-sm-push-4 { + left: 33.33333333%; + } + .col-sm-push-3 { + left: 25%; + } + .col-sm-push-2 { + left: 16.66666667%; + } + .col-sm-push-1 { + left: 8.33333333%; + } + .col-sm-push-0 { + left: auto; + } + .col-sm-offset-12 { + margin-left: 100%; + } + .col-sm-offset-11 { + margin-left: 91.66666667%; + } + .col-sm-offset-10 { + margin-left: 83.33333333%; + } + .col-sm-offset-9 { + margin-left: 75%; + } + .col-sm-offset-8 { + margin-left: 66.66666667%; + } + .col-sm-offset-7 { + margin-left: 58.33333333%; + } + .col-sm-offset-6 { + margin-left: 50%; + } + .col-sm-offset-5 { + margin-left: 41.66666667%; + } + .col-sm-offset-4 { + margin-left: 33.33333333%; + } + .col-sm-offset-3 { + margin-left: 25%; + } + .col-sm-offset-2 { + margin-left: 16.66666667%; + } + .col-sm-offset-1 { + margin-left: 8.33333333%; + } + .col-sm-offset-0 { + margin-left: 0%; + } +} +@media (min-width: 992px) { + .col-md-1, + .col-md-2, + .col-md-3, + .col-md-4, + .col-md-5, + .col-md-6, + .col-md-7, + .col-md-8, + .col-md-9, + .col-md-10, + .col-md-11, + .col-md-12 { + float: left; + } + .col-md-12 { + width: 100%; + } + .col-md-11 { + width: 91.66666667%; + } + .col-md-10 { + width: 83.33333333%; + } + .col-md-9 { + width: 75%; + } + .col-md-8 { + width: 66.66666667%; + } + .col-md-7 { + width: 58.33333333%; + } + .col-md-6 { + width: 50%; + } + .col-md-5 { + width: 41.66666667%; + } + .col-md-4 { + width: 33.33333333%; + } + .col-md-3 { + width: 25%; + } + .col-md-2 { + width: 16.66666667%; + } + .col-md-1 { + width: 8.33333333%; + } + .col-md-pull-12 { + right: 100%; + } + .col-md-pull-11 { + right: 91.66666667%; + } + .col-md-pull-10 { + right: 83.33333333%; + } + .col-md-pull-9 { + right: 75%; + } + .col-md-pull-8 { + right: 66.66666667%; + } + .col-md-pull-7 { + right: 58.33333333%; + } + .col-md-pull-6 { + right: 50%; + } + .col-md-pull-5 { + right: 41.66666667%; + } + .col-md-pull-4 { + right: 33.33333333%; + } + .col-md-pull-3 { + right: 25%; + } + .col-md-pull-2 { + right: 16.66666667%; + } + .col-md-pull-1 { + right: 8.33333333%; + } + .col-md-pull-0 { + right: auto; + } + .col-md-push-12 { + left: 100%; + } + .col-md-push-11 { + left: 91.66666667%; + } + .col-md-push-10 { + left: 83.33333333%; + } + .col-md-push-9 { + left: 75%; + } + .col-md-push-8 { + left: 66.66666667%; + } + .col-md-push-7 { + left: 58.33333333%; + } + .col-md-push-6 { + left: 50%; + } + .col-md-push-5 { + left: 41.66666667%; + } + .col-md-push-4 { + left: 33.33333333%; + } + .col-md-push-3 { + left: 25%; + } + .col-md-push-2 { + left: 16.66666667%; + } + .col-md-push-1 { + left: 8.33333333%; + } + .col-md-push-0 { + left: auto; + } + .col-md-offset-12 { + margin-left: 100%; + } + .col-md-offset-11 { + margin-left: 91.66666667%; + } + .col-md-offset-10 { + margin-left: 83.33333333%; + } + .col-md-offset-9 { + margin-left: 75%; + } + .col-md-offset-8 { + margin-left: 66.66666667%; + } + .col-md-offset-7 { + margin-left: 58.33333333%; + } + .col-md-offset-6 { + margin-left: 50%; + } + .col-md-offset-5 { + margin-left: 41.66666667%; + } + .col-md-offset-4 { + margin-left: 33.33333333%; + } + .col-md-offset-3 { + margin-left: 25%; + } + .col-md-offset-2 { + margin-left: 16.66666667%; + } + .col-md-offset-1 { + margin-left: 8.33333333%; + } + .col-md-offset-0 { + margin-left: 0%; + } +} +@media (min-width: 1200px) { + .col-lg-1, + .col-lg-2, + .col-lg-3, + .col-lg-4, + .col-lg-5, + .col-lg-6, + .col-lg-7, + .col-lg-8, + .col-lg-9, + .col-lg-10, + .col-lg-11, + .col-lg-12 { + float: left; + } + .col-lg-12 { + width: 100%; + } + .col-lg-11 { + width: 91.66666667%; + } + .col-lg-10 { + width: 83.33333333%; + } + .col-lg-9 { + width: 75%; + } + .col-lg-8 { + width: 66.66666667%; + } + .col-lg-7 { + width: 58.33333333%; + } + .col-lg-6 { + width: 50%; + } + .col-lg-5 { + width: 41.66666667%; + } + .col-lg-4 { + width: 33.33333333%; + } + .col-lg-3 { + width: 25%; + } + .col-lg-2 { + width: 16.66666667%; + } + .col-lg-1 { + width: 8.33333333%; + } + .col-lg-pull-12 { + right: 100%; + } + .col-lg-pull-11 { + right: 91.66666667%; + } + .col-lg-pull-10 { + right: 83.33333333%; + } + .col-lg-pull-9 { + right: 75%; + } + .col-lg-pull-8 { + right: 66.66666667%; + } + .col-lg-pull-7 { + right: 58.33333333%; + } + .col-lg-pull-6 { + right: 50%; + } + .col-lg-pull-5 { + right: 41.66666667%; + } + .col-lg-pull-4 { + right: 33.33333333%; + } + .col-lg-pull-3 { + right: 25%; + } + .col-lg-pull-2 { + right: 16.66666667%; + } + .col-lg-pull-1 { + right: 8.33333333%; + } + .col-lg-pull-0 { + right: auto; + } + .col-lg-push-12 { + left: 100%; + } + .col-lg-push-11 { + left: 91.66666667%; + } + .col-lg-push-10 { + left: 83.33333333%; + } + .col-lg-push-9 { + left: 75%; + } + .col-lg-push-8 { + left: 66.66666667%; + } + .col-lg-push-7 { + left: 58.33333333%; + } + .col-lg-push-6 { + left: 50%; + } + .col-lg-push-5 { + left: 41.66666667%; + } + .col-lg-push-4 { + left: 33.33333333%; + } + .col-lg-push-3 { + left: 25%; + } + .col-lg-push-2 { + left: 16.66666667%; + } + .col-lg-push-1 { + left: 8.33333333%; + } + .col-lg-push-0 { + left: auto; + } + .col-lg-offset-12 { + margin-left: 100%; + } + .col-lg-offset-11 { + margin-left: 91.66666667%; + } + .col-lg-offset-10 { + margin-left: 83.33333333%; + } + .col-lg-offset-9 { + margin-left: 75%; + } + .col-lg-offset-8 { + margin-left: 66.66666667%; + } + .col-lg-offset-7 { + margin-left: 58.33333333%; + } + .col-lg-offset-6 { + margin-left: 50%; + } + .col-lg-offset-5 { + margin-left: 41.66666667%; + } + .col-lg-offset-4 { + margin-left: 33.33333333%; + } + .col-lg-offset-3 { + margin-left: 25%; + } + .col-lg-offset-2 { + margin-left: 16.66666667%; + } + .col-lg-offset-1 { + margin-left: 8.33333333%; + } + .col-lg-offset-0 { + margin-left: 0%; + } +} +table { + background-color: transparent; +} +table col[class*="col-"] { + position: static; + display: table-column; + float: none; +} +table td[class*="col-"], +table th[class*="col-"] { + position: static; + display: table-cell; + float: none; +} +caption { + padding-top: 8px; + padding-bottom: 8px; + color: #777777; + text-align: left; +} +th { + text-align: left; +} +.table { + width: 100%; + max-width: 100%; + margin-bottom: 20px; +} +.table > thead > tr > th, +.table > tbody > tr > th, +.table > tfoot > tr > th, +.table > thead > tr > td, +.table > tbody > tr > td, +.table > tfoot > tr > td { + padding: 8px; + line-height: 1.42857143; + vertical-align: top; + border-top: 1px solid #ddd; +} +.table > thead > tr > th { + vertical-align: bottom; + border-bottom: 2px solid #ddd; +} +.table > caption + thead > tr:first-child > th, +.table > colgroup + thead > tr:first-child > th, +.table > thead:first-child > tr:first-child > th, +.table > caption + thead > tr:first-child > td, +.table > colgroup + thead > tr:first-child > td, +.table > thead:first-child > tr:first-child > td { + border-top: 0; +} +.table > tbody + tbody { + border-top: 2px solid #ddd; +} +.table .table { + background-color: #fff; +} +.table-condensed > thead > tr > th, +.table-condensed > tbody > tr > th, +.table-condensed > tfoot > tr > th, +.table-condensed > thead > tr > td, +.table-condensed > tbody > tr > td, +.table-condensed > tfoot > tr > td { + padding: 5px; +} +.table-bordered { + border: 1px solid #ddd; +} +.table-bordered > thead > tr > th, +.table-bordered > tbody > tr > th, +.table-bordered > tfoot > tr > th, +.table-bordered > thead > tr > td, +.table-bordered > tbody > tr > td, +.table-bordered > tfoot > tr > td { + border: 1px solid #ddd; +} +.table-bordered > thead > tr > th, +.table-bordered > thead > tr > td { + border-bottom-width: 2px; +} +.table-striped > tbody > tr:nth-of-type(odd) { + background-color: #f9f9f9; +} +.table-hover > tbody > tr:hover { + background-color: #f5f5f5; +} +.table > thead > tr > td.active, +.table > tbody > tr > td.active, +.table > tfoot > tr > td.active, +.table > thead > tr > th.active, +.table > tbody > tr > th.active, +.table > tfoot > tr > th.active, +.table > thead > tr.active > td, +.table > tbody > tr.active > td, +.table > tfoot > tr.active > td, +.table > thead > tr.active > th, +.table > tbody > tr.active > th, +.table > tfoot > tr.active > th { + background-color: #f5f5f5; +} +.table-hover > tbody > tr > td.active:hover, +.table-hover > tbody > tr > th.active:hover, +.table-hover > tbody > tr.active:hover > td, +.table-hover > tbody > tr:hover > .active, +.table-hover > tbody > tr.active:hover > th { + background-color: #e8e8e8; +} +.table > thead > tr > td.success, +.table > tbody > tr > td.success, +.table > tfoot > tr > td.success, +.table > thead > tr > th.success, +.table > tbody > tr > th.success, +.table > tfoot > tr > th.success, +.table > thead > tr.success > td, +.table > tbody > tr.success > td, +.table > tfoot > tr.success > td, +.table > thead > tr.success > th, +.table > tbody > tr.success > th, +.table > tfoot > tr.success > th { + background-color: #dff0d8; +} +.table-hover > tbody > tr > td.success:hover, +.table-hover > tbody > tr > th.success:hover, +.table-hover > tbody > tr.success:hover > td, +.table-hover > tbody > tr:hover > .success, +.table-hover > tbody > tr.success:hover > th { + background-color: #d0e9c6; +} +.table > thead > tr > td.info, +.table > tbody > tr > td.info, +.table > tfoot > tr > td.info, +.table > thead > tr > th.info, +.table > tbody > tr > th.info, +.table > tfoot > tr > th.info, +.table > thead > tr.info > td, +.table > tbody > tr.info > td, +.table > tfoot > tr.info > td, +.table > thead > tr.info > th, +.table > tbody > tr.info > th, +.table > tfoot > tr.info > th { + background-color: #d9edf7; +} +.table-hover > tbody > tr > td.info:hover, +.table-hover > tbody > tr > th.info:hover, +.table-hover > tbody > tr.info:hover > td, +.table-hover > tbody > tr:hover > .info, +.table-hover > tbody > tr.info:hover > th { + background-color: #c4e3f3; +} +.table > thead > tr > td.warning, +.table > tbody > tr > td.warning, +.table > tfoot > tr > td.warning, +.table > thead > tr > th.warning, +.table > tbody > tr > th.warning, +.table > tfoot > tr > th.warning, +.table > thead > tr.warning > td, +.table > tbody > tr.warning > td, +.table > tfoot > tr.warning > td, +.table > thead > tr.warning > th, +.table > tbody > tr.warning > th, +.table > tfoot > tr.warning > th { + background-color: #fcf8e3; +} +.table-hover > tbody > tr > td.warning:hover, +.table-hover > tbody > tr > th.warning:hover, +.table-hover > tbody > tr.warning:hover > td, +.table-hover > tbody > tr:hover > .warning, +.table-hover > tbody > tr.warning:hover > th { + background-color: #faf2cc; +} +.table > thead > tr > td.danger, +.table > tbody > tr > td.danger, +.table > tfoot > tr > td.danger, +.table > thead > tr > th.danger, +.table > tbody > tr > th.danger, +.table > tfoot > tr > th.danger, +.table > thead > tr.danger > td, +.table > tbody > tr.danger > td, +.table > tfoot > tr.danger > td, +.table > thead > tr.danger > th, +.table > tbody > tr.danger > th, +.table > tfoot > tr.danger > th { + background-color: #f2dede; +} +.table-hover > tbody > tr > td.danger:hover, +.table-hover > tbody > tr > th.danger:hover, +.table-hover > tbody > tr.danger:hover > td, +.table-hover > tbody > tr:hover > .danger, +.table-hover > tbody > tr.danger:hover > th { + background-color: #ebcccc; +} +.table-responsive { + min-height: 0.01%; + overflow-x: auto; +} +@media screen and (max-width: 767px) { + .table-responsive { + width: 100%; + margin-bottom: 15px; + overflow-y: hidden; + -ms-overflow-style: -ms-autohiding-scrollbar; + border: 1px solid #ddd; + } + .table-responsive > .table { + margin-bottom: 0; + } + .table-responsive > .table > thead > tr > th, + .table-responsive > .table > tbody > tr > th, + .table-responsive > .table > tfoot > tr > th, + .table-responsive > .table > thead > tr > td, + .table-responsive > .table > tbody > tr > td, + .table-responsive > .table > tfoot > tr > td { + white-space: nowrap; + } + .table-responsive > .table-bordered { + border: 0; + } + .table-responsive > .table-bordered > thead > tr > th:first-child, + .table-responsive > .table-bordered > tbody > tr > th:first-child, + .table-responsive > .table-bordered > tfoot > tr > th:first-child, + .table-responsive > .table-bordered > thead > tr > td:first-child, + .table-responsive > .table-bordered > tbody > tr > td:first-child, + .table-responsive > .table-bordered > tfoot > tr > td:first-child { + border-left: 0; + } + .table-responsive > .table-bordered > thead > tr > th:last-child, + .table-responsive > .table-bordered > tbody > tr > th:last-child, + .table-responsive > .table-bordered > tfoot > tr > th:last-child, + .table-responsive > .table-bordered > thead > tr > td:last-child, + .table-responsive > .table-bordered > tbody > tr > td:last-child, + .table-responsive > .table-bordered > tfoot > tr > td:last-child { + border-right: 0; + } + .table-responsive > .table-bordered > tbody > tr:last-child > th, + .table-responsive > .table-bordered > tfoot > tr:last-child > th, + .table-responsive > .table-bordered > tbody > tr:last-child > td, + .table-responsive > .table-bordered > tfoot > tr:last-child > td { + border-bottom: 0; + } +} +fieldset { + min-width: 0; + padding: 0; + margin: 0; + border: 0; +} +legend { + display: block; + width: 100%; + padding: 0; + margin-bottom: 20px; + font-size: 21px; + line-height: inherit; + color: #333333; + border: 0; + border-bottom: 1px solid #e5e5e5; +} +label { + display: inline-block; + max-width: 100%; + margin-bottom: 5px; + font-weight: 700; +} +input[type="search"] { + -webkit-box-sizing: border-box; + -moz-box-sizing: border-box; + box-sizing: border-box; + -webkit-appearance: none; + -moz-appearance: none; + appearance: none; +} +input[type="radio"], +input[type="checkbox"] { + margin: 4px 0 0; + margin-top: 1px \9; + line-height: normal; +} +input[type="radio"][disabled], +input[type="checkbox"][disabled], +input[type="radio"].disabled, +input[type="checkbox"].disabled, +fieldset[disabled] input[type="radio"], +fieldset[disabled] input[type="checkbox"] { + cursor: not-allowed; +} +input[type="file"] { + display: block; +} +input[type="range"] { + display: block; + width: 100%; +} +select[multiple], +select[size] { + height: auto; +} +input[type="file"]:focus, +input[type="radio"]:focus, +input[type="checkbox"]:focus { + outline: 5px auto -webkit-focus-ring-color; + outline-offset: -2px; +} +output { + display: block; + padding-top: 7px; + font-size: 14px; + line-height: 1.42857143; + color: #555555; +} +.form-control { + display: block; + width: 100%; + height: 34px; + padding: 6px 12px; + font-size: 14px; + line-height: 1.42857143; + color: #555555; + background-color: #fff; + background-image: none; + border: 1px solid #ccc; + border-radius: 4px; + -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075); + box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075); + -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s; + -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s; + -webkit-transition: border-color ease-in-out .15s, -webkit-box-shadow ease-in-out .15s; + transition: border-color ease-in-out .15s, -webkit-box-shadow ease-in-out .15s; + transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s; + transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s, -webkit-box-shadow ease-in-out .15s; +} +.form-control:focus { + border-color: #66afe9; + outline: 0; + -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, .075), 0 0 8px rgba(102, 175, 233, 0.6); + box-shadow: inset 0 1px 1px rgba(0, 0, 0, .075), 0 0 8px rgba(102, 175, 233, 0.6); +} +.form-control::-moz-placeholder { + color: #999; + opacity: 1; +} +.form-control:-ms-input-placeholder { + color: #999; +} +.form-control::-webkit-input-placeholder { + color: #999; +} +.form-control::-ms-expand { + background-color: transparent; + border: 0; +} +.form-control[disabled], +.form-control[readonly], +fieldset[disabled] .form-control { + background-color: #eeeeee; + opacity: 1; +} +.form-control[disabled], +fieldset[disabled] .form-control { + cursor: not-allowed; +} +textarea.form-control { + height: auto; +} +@media screen and (-webkit-min-device-pixel-ratio: 0) { + input[type="date"].form-control, + input[type="time"].form-control, + input[type="datetime-local"].form-control, + input[type="month"].form-control { + line-height: 34px; + } + input[type="date"].input-sm, + input[type="time"].input-sm, + input[type="datetime-local"].input-sm, + input[type="month"].input-sm, + .input-group-sm input[type="date"], + .input-group-sm input[type="time"], + .input-group-sm input[type="datetime-local"], + .input-group-sm input[type="month"] { + line-height: 30px; + } + input[type="date"].input-lg, + input[type="time"].input-lg, + input[type="datetime-local"].input-lg, + input[type="month"].input-lg, + .input-group-lg input[type="date"], + .input-group-lg input[type="time"], + .input-group-lg input[type="datetime-local"], + .input-group-lg input[type="month"] { + line-height: 46px; + } +} +.form-group { + margin-bottom: 15px; +} +.radio, +.checkbox { + position: relative; + display: block; + margin-top: 10px; + margin-bottom: 10px; +} +.radio.disabled label, +.checkbox.disabled label, +fieldset[disabled] .radio label, +fieldset[disabled] .checkbox label { + cursor: not-allowed; +} +.radio label, +.checkbox label { + min-height: 20px; + padding-left: 20px; + margin-bottom: 0; + font-weight: 400; + cursor: pointer; +} +.radio input[type="radio"], +.radio-inline input[type="radio"], +.checkbox input[type="checkbox"], +.checkbox-inline input[type="checkbox"] { + position: absolute; + margin-top: 4px \9; + margin-left: -20px; +} +.radio + .radio, +.checkbox + .checkbox { + margin-top: -5px; +} +.radio-inline, +.checkbox-inline { + position: relative; + display: inline-block; + padding-left: 20px; + margin-bottom: 0; + font-weight: 400; + vertical-align: middle; + cursor: pointer; +} +.radio-inline.disabled, +.checkbox-inline.disabled, +fieldset[disabled] .radio-inline, +fieldset[disabled] .checkbox-inline { + cursor: not-allowed; +} +.radio-inline + .radio-inline, +.checkbox-inline + .checkbox-inline { + margin-top: 0; + margin-left: 10px; +} +.form-control-static { + min-height: 34px; + padding-top: 7px; + padding-bottom: 7px; + margin-bottom: 0; +} +.form-control-static.input-lg, +.form-control-static.input-sm { + padding-right: 0; + padding-left: 0; +} +.input-sm { + height: 30px; + padding: 5px 10px; + font-size: 12px; + line-height: 1.5; + border-radius: 3px; +} +select.input-sm { + height: 30px; + line-height: 30px; +} +textarea.input-sm, +select[multiple].input-sm { + height: auto; +} +.form-group-sm .form-control { + height: 30px; + padding: 5px 10px; + font-size: 12px; + line-height: 1.5; + border-radius: 3px; +} +.form-group-sm select.form-control { + height: 30px; + line-height: 30px; +} +.form-group-sm textarea.form-control, +.form-group-sm select[multiple].form-control { + height: auto; +} +.form-group-sm .form-control-static { + height: 30px; + min-height: 32px; + padding: 6px 10px; + font-size: 12px; + line-height: 1.5; +} +.input-lg { + height: 46px; + padding: 10px 16px; + font-size: 18px; + line-height: 1.3333333; + border-radius: 6px; +} +select.input-lg { + height: 46px; + line-height: 46px; +} +textarea.input-lg, +select[multiple].input-lg { + height: auto; +} +.form-group-lg .form-control { + height: 46px; + padding: 10px 16px; + font-size: 18px; + line-height: 1.3333333; + border-radius: 6px; +} +.form-group-lg select.form-control { + height: 46px; + line-height: 46px; +} +.form-group-lg textarea.form-control, +.form-group-lg select[multiple].form-control { + height: auto; +} +.form-group-lg .form-control-static { + height: 46px; + min-height: 38px; + padding: 11px 16px; + font-size: 18px; + line-height: 1.3333333; +} +.has-feedback { + position: relative; +} +.has-feedback .form-control { + padding-right: 42.5px; +} +.form-control-feedback { + position: absolute; + top: 0; + right: 0; + z-index: 2; + display: block; + width: 34px; + height: 34px; + line-height: 34px; + text-align: center; + pointer-events: none; +} +.input-lg + .form-control-feedback, +.input-group-lg + .form-control-feedback, +.form-group-lg .form-control + .form-control-feedback { + width: 46px; + height: 46px; + line-height: 46px; +} +.input-sm + .form-control-feedback, +.input-group-sm + .form-control-feedback, +.form-group-sm .form-control + .form-control-feedback { + width: 30px; + height: 30px; + line-height: 30px; +} +.has-success .help-block, +.has-success .control-label, +.has-success .radio, +.has-success .checkbox, +.has-success .radio-inline, +.has-success .checkbox-inline, +.has-success.radio label, +.has-success.checkbox label, +.has-success.radio-inline label, +.has-success.checkbox-inline label { + color: #3c763d; +} +.has-success .form-control { + border-color: #3c763d; + -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075); + box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075); +} +.has-success .form-control:focus { + border-color: #2b542c; + -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168; + box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168; +} +.has-success .input-group-addon { + color: #3c763d; + background-color: #dff0d8; + border-color: #3c763d; +} +.has-success .form-control-feedback { + color: #3c763d; +} +.has-warning .help-block, +.has-warning .control-label, +.has-warning .radio, +.has-warning .checkbox, +.has-warning .radio-inline, +.has-warning .checkbox-inline, +.has-warning.radio label, +.has-warning.checkbox label, +.has-warning.radio-inline label, +.has-warning.checkbox-inline label { + color: #8a6d3b; +} +.has-warning .form-control { + border-color: #8a6d3b; + -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075); + box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075); +} +.has-warning .form-control:focus { + border-color: #66512c; + -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b; + box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b; +} +.has-warning .input-group-addon { + color: #8a6d3b; + background-color: #fcf8e3; + border-color: #8a6d3b; +} +.has-warning .form-control-feedback { + color: #8a6d3b; +} +.has-error .help-block, +.has-error .control-label, +.has-error .radio, +.has-error .checkbox, +.has-error .radio-inline, +.has-error .checkbox-inline, +.has-error.radio label, +.has-error.checkbox label, +.has-error.radio-inline label, +.has-error.checkbox-inline label { + color: #a94442; +} +.has-error .form-control { + border-color: #a94442; + -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075); + box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075); +} +.has-error .form-control:focus { + border-color: #843534; + -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483; + box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483; +} +.has-error .input-group-addon { + color: #a94442; + background-color: #f2dede; + border-color: #a94442; +} +.has-error .form-control-feedback { + color: #a94442; +} +.has-feedback label ~ .form-control-feedback { + top: 25px; +} +.has-feedback label.sr-only ~ .form-control-feedback { + top: 0; +} +.help-block { + display: block; + margin-top: 5px; + margin-bottom: 10px; + color: #737373; +} +@media (min-width: 768px) { + .form-inline .form-group { + display: inline-block; + margin-bottom: 0; + vertical-align: middle; + } + .form-inline .form-control { + display: inline-block; + width: auto; + vertical-align: middle; + } + .form-inline .form-control-static { + display: inline-block; + } + .form-inline .input-group { + display: inline-table; + vertical-align: middle; + } + .form-inline .input-group .input-group-addon, + .form-inline .input-group .input-group-btn, + .form-inline .input-group .form-control { + width: auto; + } + .form-inline .input-group > .form-control { + width: 100%; + } + .form-inline .control-label { + margin-bottom: 0; + vertical-align: middle; + } + .form-inline .radio, + .form-inline .checkbox { + display: inline-block; + margin-top: 0; + margin-bottom: 0; + vertical-align: middle; + } + .form-inline .radio label, + .form-inline .checkbox label { + padding-left: 0; + } + .form-inline .radio input[type="radio"], + .form-inline .checkbox input[type="checkbox"] { + position: relative; + margin-left: 0; + } + .form-inline .has-feedback .form-control-feedback { + top: 0; + } +} +.form-horizontal .radio, +.form-horizontal .checkbox, +.form-horizontal .radio-inline, +.form-horizontal .checkbox-inline { + padding-top: 7px; + margin-top: 0; + margin-bottom: 0; +} +.form-horizontal .radio, +.form-horizontal .checkbox { + min-height: 27px; +} +.form-horizontal .form-group { + margin-right: -15px; + margin-left: -15px; +} +@media (min-width: 768px) { + .form-horizontal .control-label { + padding-top: 7px; + margin-bottom: 0; + text-align: right; + } +} +.form-horizontal .has-feedback .form-control-feedback { + right: 15px; +} +@media (min-width: 768px) { + .form-horizontal .form-group-lg .control-label { + padding-top: 11px; + font-size: 18px; + } +} +@media (min-width: 768px) { + .form-horizontal .form-group-sm .control-label { + padding-top: 6px; + font-size: 12px; + } +} +.btn { + display: inline-block; + margin-bottom: 0; + font-weight: normal; + text-align: center; + white-space: nowrap; + vertical-align: middle; + -ms-touch-action: manipulation; + touch-action: manipulation; + cursor: pointer; + background-image: none; + border: 1px solid transparent; + padding: 6px 12px; + font-size: 14px; + line-height: 1.42857143; + border-radius: 4px; + -webkit-user-select: none; + -moz-user-select: none; + -ms-user-select: none; + user-select: none; +} +.btn:focus, +.btn:active:focus, +.btn.active:focus, +.btn.focus, +.btn:active.focus, +.btn.active.focus { + outline: 5px auto -webkit-focus-ring-color; + outline-offset: -2px; +} +.btn:hover, +.btn:focus, +.btn.focus { + color: #333; + text-decoration: none; +} +.btn:active, +.btn.active { + background-image: none; + outline: 0; + -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125); + box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125); +} +.btn.disabled, +.btn[disabled], +fieldset[disabled] .btn { + cursor: not-allowed; + filter: alpha(opacity=65); + opacity: 0.65; + -webkit-box-shadow: none; + box-shadow: none; +} +a.btn.disabled, +fieldset[disabled] a.btn { + pointer-events: none; +} +.btn-default { + color: #333; + background-color: #fff; + border-color: #ccc; +} +.btn-default:focus, +.btn-default.focus { + color: #333; + background-color: #e6e6e6; + border-color: #8c8c8c; +} +.btn-default:hover { + color: #333; + background-color: #e6e6e6; + border-color: #adadad; +} +.btn-default:active, +.btn-default.active, +.open > .dropdown-toggle.btn-default { + color: #333; + background-color: #e6e6e6; + background-image: none; + border-color: #adadad; +} +.btn-default:active:hover, +.btn-default.active:hover, +.open > .dropdown-toggle.btn-default:hover, +.btn-default:active:focus, +.btn-default.active:focus, +.open > .dropdown-toggle.btn-default:focus, +.btn-default:active.focus, +.btn-default.active.focus, +.open > .dropdown-toggle.btn-default.focus { + color: #333; + background-color: #d4d4d4; + border-color: #8c8c8c; +} +.btn-default.disabled:hover, +.btn-default[disabled]:hover, +fieldset[disabled] .btn-default:hover, +.btn-default.disabled:focus, +.btn-default[disabled]:focus, +fieldset[disabled] .btn-default:focus, +.btn-default.disabled.focus, +.btn-default[disabled].focus, +fieldset[disabled] .btn-default.focus { + background-color: #fff; + border-color: #ccc; +} +.btn-default .badge { + color: #fff; + background-color: #333; +} +.btn-primary { + color: #fff; + background-color: #337ab7; + border-color: #2e6da4; +} +.btn-primary:focus, +.btn-primary.focus { + color: #fff; + background-color: #286090; + border-color: #122b40; +} +.btn-primary:hover { + color: #fff; + background-color: #286090; + border-color: #204d74; +} +.btn-primary:active, +.btn-primary.active, +.open > .dropdown-toggle.btn-primary { + color: #fff; + background-color: #286090; + background-image: none; + border-color: #204d74; +} +.btn-primary:active:hover, +.btn-primary.active:hover, +.open > .dropdown-toggle.btn-primary:hover, +.btn-primary:active:focus, +.btn-primary.active:focus, +.open > .dropdown-toggle.btn-primary:focus, +.btn-primary:active.focus, +.btn-primary.active.focus, +.open > .dropdown-toggle.btn-primary.focus { + color: #fff; + background-color: #204d74; + border-color: #122b40; +} +.btn-primary.disabled:hover, +.btn-primary[disabled]:hover, +fieldset[disabled] .btn-primary:hover, +.btn-primary.disabled:focus, +.btn-primary[disabled]:focus, +fieldset[disabled] .btn-primary:focus, +.btn-primary.disabled.focus, +.btn-primary[disabled].focus, +fieldset[disabled] .btn-primary.focus { + background-color: #337ab7; + border-color: #2e6da4; +} +.btn-primary .badge { + color: #337ab7; + background-color: #fff; +} +.btn-success { + color: #fff; + background-color: #5cb85c; + border-color: #4cae4c; +} +.btn-success:focus, +.btn-success.focus { + color: #fff; + background-color: #449d44; + border-color: #255625; +} +.btn-success:hover { + color: #fff; + background-color: #449d44; + border-color: #398439; +} +.btn-success:active, +.btn-success.active, +.open > .dropdown-toggle.btn-success { + color: #fff; + background-color: #449d44; + background-image: none; + border-color: #398439; +} +.btn-success:active:hover, +.btn-success.active:hover, +.open > .dropdown-toggle.btn-success:hover, +.btn-success:active:focus, +.btn-success.active:focus, +.open > .dropdown-toggle.btn-success:focus, +.btn-success:active.focus, +.btn-success.active.focus, +.open > .dropdown-toggle.btn-success.focus { + color: #fff; + background-color: #398439; + border-color: #255625; +} +.btn-success.disabled:hover, +.btn-success[disabled]:hover, +fieldset[disabled] .btn-success:hover, +.btn-success.disabled:focus, +.btn-success[disabled]:focus, +fieldset[disabled] .btn-success:focus, +.btn-success.disabled.focus, +.btn-success[disabled].focus, +fieldset[disabled] .btn-success.focus { + background-color: #5cb85c; + border-color: #4cae4c; +} +.btn-success .badge { + color: #5cb85c; + background-color: #fff; +} +.btn-info { + color: #fff; + background-color: #5bc0de; + border-color: #46b8da; +} +.btn-info:focus, +.btn-info.focus { + color: #fff; + background-color: #31b0d5; + border-color: #1b6d85; +} +.btn-info:hover { + color: #fff; + background-color: #31b0d5; + border-color: #269abc; +} +.btn-info:active, +.btn-info.active, +.open > .dropdown-toggle.btn-info { + color: #fff; + background-color: #31b0d5; + background-image: none; + border-color: #269abc; +} +.btn-info:active:hover, +.btn-info.active:hover, +.open > .dropdown-toggle.btn-info:hover, +.btn-info:active:focus, +.btn-info.active:focus, +.open > .dropdown-toggle.btn-info:focus, +.btn-info:active.focus, +.btn-info.active.focus, +.open > .dropdown-toggle.btn-info.focus { + color: #fff; + background-color: #269abc; + border-color: #1b6d85; +} +.btn-info.disabled:hover, +.btn-info[disabled]:hover, +fieldset[disabled] .btn-info:hover, +.btn-info.disabled:focus, +.btn-info[disabled]:focus, +fieldset[disabled] .btn-info:focus, +.btn-info.disabled.focus, +.btn-info[disabled].focus, +fieldset[disabled] .btn-info.focus { + background-color: #5bc0de; + border-color: #46b8da; +} +.btn-info .badge { + color: #5bc0de; + background-color: #fff; +} +.btn-warning { + color: #fff; + background-color: #f0ad4e; + border-color: #eea236; +} +.btn-warning:focus, +.btn-warning.focus { + color: #fff; + background-color: #ec971f; + border-color: #985f0d; +} +.btn-warning:hover { + color: #fff; + background-color: #ec971f; + border-color: #d58512; +} +.btn-warning:active, +.btn-warning.active, +.open > .dropdown-toggle.btn-warning { + color: #fff; + background-color: #ec971f; + background-image: none; + border-color: #d58512; +} +.btn-warning:active:hover, +.btn-warning.active:hover, +.open > .dropdown-toggle.btn-warning:hover, +.btn-warning:active:focus, +.btn-warning.active:focus, +.open > .dropdown-toggle.btn-warning:focus, +.btn-warning:active.focus, +.btn-warning.active.focus, +.open > .dropdown-toggle.btn-warning.focus { + color: #fff; + background-color: #d58512; + border-color: #985f0d; +} +.btn-warning.disabled:hover, +.btn-warning[disabled]:hover, +fieldset[disabled] .btn-warning:hover, +.btn-warning.disabled:focus, +.btn-warning[disabled]:focus, +fieldset[disabled] .btn-warning:focus, +.btn-warning.disabled.focus, +.btn-warning[disabled].focus, +fieldset[disabled] .btn-warning.focus { + background-color: #f0ad4e; + border-color: #eea236; +} +.btn-warning .badge { + color: #f0ad4e; + background-color: #fff; +} +.btn-danger { + color: #fff; + background-color: #d9534f; + border-color: #d43f3a; +} +.btn-danger:focus, +.btn-danger.focus { + color: #fff; + background-color: #c9302c; + border-color: #761c19; +} +.btn-danger:hover { + color: #fff; + background-color: #c9302c; + border-color: #ac2925; +} +.btn-danger:active, +.btn-danger.active, +.open > .dropdown-toggle.btn-danger { + color: #fff; + background-color: #c9302c; + background-image: none; + border-color: #ac2925; +} +.btn-danger:active:hover, +.btn-danger.active:hover, +.open > .dropdown-toggle.btn-danger:hover, +.btn-danger:active:focus, +.btn-danger.active:focus, +.open > .dropdown-toggle.btn-danger:focus, +.btn-danger:active.focus, +.btn-danger.active.focus, +.open > .dropdown-toggle.btn-danger.focus { + color: #fff; + background-color: #ac2925; + border-color: #761c19; +} +.btn-danger.disabled:hover, +.btn-danger[disabled]:hover, +fieldset[disabled] .btn-danger:hover, +.btn-danger.disabled:focus, +.btn-danger[disabled]:focus, +fieldset[disabled] .btn-danger:focus, +.btn-danger.disabled.focus, +.btn-danger[disabled].focus, +fieldset[disabled] .btn-danger.focus { + background-color: #d9534f; + border-color: #d43f3a; +} +.btn-danger .badge { + color: #d9534f; + background-color: #fff; +} +.btn-link { + font-weight: 400; + color: #337ab7; + border-radius: 0; +} +.btn-link, +.btn-link:active, +.btn-link.active, +.btn-link[disabled], +fieldset[disabled] .btn-link { + background-color: transparent; + -webkit-box-shadow: none; + box-shadow: none; +} +.btn-link, +.btn-link:hover, +.btn-link:focus, +.btn-link:active { + border-color: transparent; +} +.btn-link:hover, +.btn-link:focus { + color: #23527c; + text-decoration: underline; + background-color: transparent; +} +.btn-link[disabled]:hover, +fieldset[disabled] .btn-link:hover, +.btn-link[disabled]:focus, +fieldset[disabled] .btn-link:focus { + color: #777777; + text-decoration: none; +} +.btn-lg, +.btn-group-lg > .btn { + padding: 10px 16px; + font-size: 18px; + line-height: 1.3333333; + border-radius: 6px; +} +.btn-sm, +.btn-group-sm > .btn { + padding: 5px 10px; + font-size: 12px; + line-height: 1.5; + border-radius: 3px; +} +.btn-xs, +.btn-group-xs > .btn { + padding: 1px 5px; + font-size: 12px; + line-height: 1.5; + border-radius: 3px; +} +.btn-block { + display: block; + width: 100%; +} +.btn-block + .btn-block { + margin-top: 5px; +} +input[type="submit"].btn-block, +input[type="reset"].btn-block, +input[type="button"].btn-block { + width: 100%; +} +.fade { + opacity: 0; + -webkit-transition: opacity 0.15s linear; + -o-transition: opacity 0.15s linear; + transition: opacity 0.15s linear; +} +.fade.in { + opacity: 1; +} +.collapse { + display: none; +} +.collapse.in { + display: block; +} +tr.collapse.in { + display: table-row; +} +tbody.collapse.in { + display: table-row-group; +} +.collapsing { + position: relative; + height: 0; + overflow: hidden; + -webkit-transition-property: height, visibility; + -o-transition-property: height, visibility; + transition-property: height, visibility; + -webkit-transition-duration: 0.35s; + -o-transition-duration: 0.35s; + transition-duration: 0.35s; + -webkit-transition-timing-function: ease; + -o-transition-timing-function: ease; + transition-timing-function: ease; +} +.caret { + display: inline-block; + width: 0; + height: 0; + margin-left: 2px; + vertical-align: middle; + border-top: 4px dashed; + border-top: 4px solid \9; + border-right: 4px solid transparent; + border-left: 4px solid transparent; +} +.dropup, +.dropdown { + position: relative; +} +.dropdown-toggle:focus { + outline: 0; +} +.dropdown-menu { + position: absolute; + top: 100%; + left: 0; + z-index: 1000; + display: none; + float: left; + min-width: 160px; + padding: 5px 0; + margin: 2px 0 0; + font-size: 14px; + text-align: left; + list-style: none; + background-color: #fff; + background-clip: padding-box; + border: 1px solid #ccc; + border: 1px solid rgba(0, 0, 0, 0.15); + border-radius: 4px; + -webkit-box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175); + box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175); +} +.dropdown-menu.pull-right { + right: 0; + left: auto; +} +.dropdown-menu .divider { + height: 1px; + margin: 9px 0; + overflow: hidden; + background-color: #e5e5e5; +} +.dropdown-menu > li > a { + display: block; + padding: 3px 20px; + clear: both; + font-weight: 400; + line-height: 1.42857143; + color: #333333; + white-space: nowrap; +} +.dropdown-menu > li > a:hover, +.dropdown-menu > li > a:focus { + color: #262626; + text-decoration: none; + background-color: #f5f5f5; +} +.dropdown-menu > .active > a, +.dropdown-menu > .active > a:hover, +.dropdown-menu > .active > a:focus { + color: #fff; + text-decoration: none; + background-color: #337ab7; + outline: 0; +} +.dropdown-menu > .disabled > a, +.dropdown-menu > .disabled > a:hover, +.dropdown-menu > .disabled > a:focus { + color: #777777; +} +.dropdown-menu > .disabled > a:hover, +.dropdown-menu > .disabled > a:focus { + text-decoration: none; + cursor: not-allowed; + background-color: transparent; + background-image: none; + filter: progid:DXImageTransform.Microsoft.gradient(enabled = false); +} +.open > .dropdown-menu { + display: block; +} +.open > a { + outline: 0; +} +.dropdown-menu-right { + right: 0; + left: auto; +} +.dropdown-menu-left { + right: auto; + left: 0; +} +.dropdown-header { + display: block; + padding: 3px 20px; + font-size: 12px; + line-height: 1.42857143; + color: #777777; + white-space: nowrap; +} +.dropdown-backdrop { + position: fixed; + top: 0; + right: 0; + bottom: 0; + left: 0; + z-index: 990; +} +.pull-right > .dropdown-menu { + right: 0; + left: auto; +} +.dropup .caret, +.navbar-fixed-bottom .dropdown .caret { + content: ""; + border-top: 0; + border-bottom: 4px dashed; + border-bottom: 4px solid \9; +} +.dropup .dropdown-menu, +.navbar-fixed-bottom .dropdown .dropdown-menu { + top: auto; + bottom: 100%; + margin-bottom: 2px; +} +@media (min-width: 768px) { + .navbar-right .dropdown-menu { + right: 0; + left: auto; + } + .navbar-right .dropdown-menu-left { + right: auto; + left: 0; + } +} +.btn-group, +.btn-group-vertical { + position: relative; + display: inline-block; + vertical-align: middle; +} +.btn-group > .btn, +.btn-group-vertical > .btn { + position: relative; + float: left; +} +.btn-group > .btn:hover, +.btn-group-vertical > .btn:hover, +.btn-group > .btn:focus, +.btn-group-vertical > .btn:focus, +.btn-group > .btn:active, +.btn-group-vertical > .btn:active, +.btn-group > .btn.active, +.btn-group-vertical > .btn.active { + z-index: 2; +} +.btn-group .btn + .btn, +.btn-group .btn + .btn-group, +.btn-group .btn-group + .btn, +.btn-group .btn-group + .btn-group { + margin-left: -1px; +} +.btn-toolbar { + margin-left: -5px; +} +.btn-toolbar .btn, +.btn-toolbar .btn-group, +.btn-toolbar .input-group { + float: left; +} +.btn-toolbar > .btn, +.btn-toolbar > .btn-group, +.btn-toolbar > .input-group { + margin-left: 5px; +} +.btn-group > .btn:not(:first-child):not(:last-child):not(.dropdown-toggle) { + border-radius: 0; +} +.btn-group > .btn:first-child { + margin-left: 0; +} +.btn-group > .btn:first-child:not(:last-child):not(.dropdown-toggle) { + border-top-right-radius: 0; + border-bottom-right-radius: 0; +} +.btn-group > .btn:last-child:not(:first-child), +.btn-group > .dropdown-toggle:not(:first-child) { + border-top-left-radius: 0; + border-bottom-left-radius: 0; +} +.btn-group > .btn-group { + float: left; +} +.btn-group > .btn-group:not(:first-child):not(:last-child) > .btn { + border-radius: 0; +} +.btn-group > .btn-group:first-child:not(:last-child) > .btn:last-child, +.btn-group > .btn-group:first-child:not(:last-child) > .dropdown-toggle { + border-top-right-radius: 0; + border-bottom-right-radius: 0; +} +.btn-group > .btn-group:last-child:not(:first-child) > .btn:first-child { + border-top-left-radius: 0; + border-bottom-left-radius: 0; +} +.btn-group .dropdown-toggle:active, +.btn-group.open .dropdown-toggle { + outline: 0; +} +.btn-group > .btn + .dropdown-toggle { + padding-right: 8px; + padding-left: 8px; +} +.btn-group > .btn-lg + .dropdown-toggle { + padding-right: 12px; + padding-left: 12px; +} +.btn-group.open .dropdown-toggle { + -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125); + box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125); +} +.btn-group.open .dropdown-toggle.btn-link { + -webkit-box-shadow: none; + box-shadow: none; +} +.btn .caret { + margin-left: 0; +} +.btn-lg .caret { + border-width: 5px 5px 0; + border-bottom-width: 0; +} +.dropup .btn-lg .caret { + border-width: 0 5px 5px; +} +.btn-group-vertical > .btn, +.btn-group-vertical > .btn-group, +.btn-group-vertical > .btn-group > .btn { + display: block; + float: none; + width: 100%; + max-width: 100%; +} +.btn-group-vertical > .btn-group > .btn { + float: none; +} +.btn-group-vertical > .btn + .btn, +.btn-group-vertical > .btn + .btn-group, +.btn-group-vertical > .btn-group + .btn, +.btn-group-vertical > .btn-group + .btn-group { + margin-top: -1px; + margin-left: 0; +} +.btn-group-vertical > .btn:not(:first-child):not(:last-child) { + border-radius: 0; +} +.btn-group-vertical > .btn:first-child:not(:last-child) { + border-top-left-radius: 4px; + border-top-right-radius: 4px; + border-bottom-right-radius: 0; + border-bottom-left-radius: 0; +} +.btn-group-vertical > .btn:last-child:not(:first-child) { + border-top-left-radius: 0; + border-top-right-radius: 0; + border-bottom-right-radius: 4px; + border-bottom-left-radius: 4px; +} +.btn-group-vertical > .btn-group:not(:first-child):not(:last-child) > .btn { + border-radius: 0; +} +.btn-group-vertical > .btn-group:first-child:not(:last-child) > .btn:last-child, +.btn-group-vertical > .btn-group:first-child:not(:last-child) > .dropdown-toggle { + border-bottom-right-radius: 0; + border-bottom-left-radius: 0; +} +.btn-group-vertical > .btn-group:last-child:not(:first-child) > .btn:first-child { + border-top-left-radius: 0; + border-top-right-radius: 0; +} +.btn-group-justified { + display: table; + width: 100%; + table-layout: fixed; + border-collapse: separate; +} +.btn-group-justified > .btn, +.btn-group-justified > .btn-group { + display: table-cell; + float: none; + width: 1%; +} +.btn-group-justified > .btn-group .btn { + width: 100%; +} +.btn-group-justified > .btn-group .dropdown-menu { + left: auto; +} +[data-toggle="buttons"] > .btn input[type="radio"], +[data-toggle="buttons"] > .btn-group > .btn input[type="radio"], +[data-toggle="buttons"] > .btn input[type="checkbox"], +[data-toggle="buttons"] > .btn-group > .btn input[type="checkbox"] { + position: absolute; + clip: rect(0, 0, 0, 0); + pointer-events: none; +} +.input-group { + position: relative; + display: table; + border-collapse: separate; +} +.input-group[class*="col-"] { + float: none; + padding-right: 0; + padding-left: 0; +} +.input-group .form-control { + position: relative; + z-index: 2; + float: left; + width: 100%; + margin-bottom: 0; +} +.input-group .form-control:focus { + z-index: 3; +} +.input-group-lg > .form-control, +.input-group-lg > .input-group-addon, +.input-group-lg > .input-group-btn > .btn { + height: 46px; + padding: 10px 16px; + font-size: 18px; + line-height: 1.3333333; + border-radius: 6px; +} +select.input-group-lg > .form-control, +select.input-group-lg > .input-group-addon, +select.input-group-lg > .input-group-btn > .btn { + height: 46px; + line-height: 46px; +} +textarea.input-group-lg > .form-control, +textarea.input-group-lg > .input-group-addon, +textarea.input-group-lg > .input-group-btn > .btn, +select[multiple].input-group-lg > .form-control, +select[multiple].input-group-lg > .input-group-addon, +select[multiple].input-group-lg > .input-group-btn > .btn { + height: auto; +} +.input-group-sm > .form-control, +.input-group-sm > .input-group-addon, +.input-group-sm > .input-group-btn > .btn { + height: 30px; + padding: 5px 10px; + font-size: 12px; + line-height: 1.5; + border-radius: 3px; +} +select.input-group-sm > .form-control, +select.input-group-sm > .input-group-addon, +select.input-group-sm > .input-group-btn > .btn { + height: 30px; + line-height: 30px; +} +textarea.input-group-sm > .form-control, +textarea.input-group-sm > .input-group-addon, +textarea.input-group-sm > .input-group-btn > .btn, +select[multiple].input-group-sm > .form-control, +select[multiple].input-group-sm > .input-group-addon, +select[multiple].input-group-sm > .input-group-btn > .btn { + height: auto; +} +.input-group-addon, +.input-group-btn, +.input-group .form-control { + display: table-cell; +} +.input-group-addon:not(:first-child):not(:last-child), +.input-group-btn:not(:first-child):not(:last-child), +.input-group .form-control:not(:first-child):not(:last-child) { + border-radius: 0; +} +.input-group-addon, +.input-group-btn { + width: 1%; + white-space: nowrap; + vertical-align: middle; +} +.input-group-addon { + padding: 6px 12px; + font-size: 14px; + font-weight: 400; + line-height: 1; + color: #555555; + text-align: center; + background-color: #eeeeee; + border: 1px solid #ccc; + border-radius: 4px; +} +.input-group-addon.input-sm { + padding: 5px 10px; + font-size: 12px; + border-radius: 3px; +} +.input-group-addon.input-lg { + padding: 10px 16px; + font-size: 18px; + border-radius: 6px; +} +.input-group-addon input[type="radio"], +.input-group-addon input[type="checkbox"] { + margin-top: 0; +} +.input-group .form-control:first-child, +.input-group-addon:first-child, +.input-group-btn:first-child > .btn, +.input-group-btn:first-child > .btn-group > .btn, +.input-group-btn:first-child > .dropdown-toggle, +.input-group-btn:last-child > .btn:not(:last-child):not(.dropdown-toggle), +.input-group-btn:last-child > .btn-group:not(:last-child) > .btn { + border-top-right-radius: 0; + border-bottom-right-radius: 0; +} +.input-group-addon:first-child { + border-right: 0; +} +.input-group .form-control:last-child, +.input-group-addon:last-child, +.input-group-btn:last-child > .btn, +.input-group-btn:last-child > .btn-group > .btn, +.input-group-btn:last-child > .dropdown-toggle, +.input-group-btn:first-child > .btn:not(:first-child), +.input-group-btn:first-child > .btn-group:not(:first-child) > .btn { + border-top-left-radius: 0; + border-bottom-left-radius: 0; +} +.input-group-addon:last-child { + border-left: 0; +} +.input-group-btn { + position: relative; + font-size: 0; + white-space: nowrap; +} +.input-group-btn > .btn { + position: relative; +} +.input-group-btn > .btn + .btn { + margin-left: -1px; +} +.input-group-btn > .btn:hover, +.input-group-btn > .btn:focus, +.input-group-btn > .btn:active { + z-index: 2; +} +.input-group-btn:first-child > .btn, +.input-group-btn:first-child > .btn-group { + margin-right: -1px; +} +.input-group-btn:last-child > .btn, +.input-group-btn:last-child > .btn-group { + z-index: 2; + margin-left: -1px; +} +.nav { + padding-left: 0; + margin-bottom: 0; + list-style: none; +} +.nav > li { + position: relative; + display: block; +} +.nav > li > a { + position: relative; + display: block; + padding: 10px 15px; +} +.nav > li > a:hover, +.nav > li > a:focus { + text-decoration: none; + background-color: #eeeeee; +} +.nav > li.disabled > a { + color: #777777; +} +.nav > li.disabled > a:hover, +.nav > li.disabled > a:focus { + color: #777777; + text-decoration: none; + cursor: not-allowed; + background-color: transparent; +} +.nav .open > a, +.nav .open > a:hover, +.nav .open > a:focus { + background-color: #eeeeee; + border-color: #337ab7; +} +.nav .nav-divider { + height: 1px; + margin: 9px 0; + overflow: hidden; + background-color: #e5e5e5; +} +.nav > li > a > img { + max-width: none; +} +.nav-tabs { + border-bottom: 1px solid #ddd; +} +.nav-tabs > li { + float: left; + margin-bottom: -1px; +} +.nav-tabs > li > a { + margin-right: 2px; + line-height: 1.42857143; + border: 1px solid transparent; + border-radius: 4px 4px 0 0; +} +.nav-tabs > li > a:hover { + border-color: #eeeeee #eeeeee #ddd; +} +.nav-tabs > li.active > a, +.nav-tabs > li.active > a:hover, +.nav-tabs > li.active > a:focus { + color: #555555; + cursor: default; + background-color: #fff; + border: 1px solid #ddd; + border-bottom-color: transparent; +} +.nav-tabs.nav-justified { + width: 100%; + border-bottom: 0; +} +.nav-tabs.nav-justified > li { + float: none; +} +.nav-tabs.nav-justified > li > a { + margin-bottom: 5px; + text-align: center; +} +.nav-tabs.nav-justified > .dropdown .dropdown-menu { + top: auto; + left: auto; +} +@media (min-width: 768px) { + .nav-tabs.nav-justified > li { + display: table-cell; + width: 1%; + } + .nav-tabs.nav-justified > li > a { + margin-bottom: 0; + } +} +.nav-tabs.nav-justified > li > a { + margin-right: 0; + border-radius: 4px; +} +.nav-tabs.nav-justified > .active > a, +.nav-tabs.nav-justified > .active > a:hover, +.nav-tabs.nav-justified > .active > a:focus { + border: 1px solid #ddd; +} +@media (min-width: 768px) { + .nav-tabs.nav-justified > li > a { + border-bottom: 1px solid #ddd; + border-radius: 4px 4px 0 0; + } + .nav-tabs.nav-justified > .active > a, + .nav-tabs.nav-justified > .active > a:hover, + .nav-tabs.nav-justified > .active > a:focus { + border-bottom-color: #fff; + } +} +.nav-pills > li { + float: left; +} +.nav-pills > li > a { + border-radius: 4px; +} +.nav-pills > li + li { + margin-left: 2px; +} +.nav-pills > li.active > a, +.nav-pills > li.active > a:hover, +.nav-pills > li.active > a:focus { + color: #fff; + background-color: #337ab7; +} +.nav-stacked > li { + float: none; +} +.nav-stacked > li + li { + margin-top: 2px; + margin-left: 0; +} +.nav-justified { + width: 100%; +} +.nav-justified > li { + float: none; +} +.nav-justified > li > a { + margin-bottom: 5px; + text-align: center; +} +.nav-justified > .dropdown .dropdown-menu { + top: auto; + left: auto; +} +@media (min-width: 768px) { + .nav-justified > li { + display: table-cell; + width: 1%; + } + .nav-justified > li > a { + margin-bottom: 0; + } +} +.nav-tabs-justified { + border-bottom: 0; +} +.nav-tabs-justified > li > a { + margin-right: 0; + border-radius: 4px; +} +.nav-tabs-justified > .active > a, +.nav-tabs-justified > .active > a:hover, +.nav-tabs-justified > .active > a:focus { + border: 1px solid #ddd; +} +@media (min-width: 768px) { + .nav-tabs-justified > li > a { + border-bottom: 1px solid #ddd; + border-radius: 4px 4px 0 0; + } + .nav-tabs-justified > .active > a, + .nav-tabs-justified > .active > a:hover, + .nav-tabs-justified > .active > a:focus { + border-bottom-color: #fff; + } +} +.tab-content > .tab-pane { + display: none; +} +.tab-content > .active { + display: block; +} +.nav-tabs .dropdown-menu { + margin-top: -1px; + border-top-left-radius: 0; + border-top-right-radius: 0; +} +.navbar { + position: relative; + min-height: 50px; + margin-bottom: 20px; + border: 1px solid transparent; +} +@media (min-width: 768px) { + .navbar { + border-radius: 4px; + } +} +@media (min-width: 768px) { + .navbar-header { + float: left; + } +} +.navbar-collapse { + padding-right: 15px; + padding-left: 15px; + overflow-x: visible; + border-top: 1px solid transparent; + -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1); + box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1); + -webkit-overflow-scrolling: touch; +} +.navbar-collapse.in { + overflow-y: auto; +} +@media (min-width: 768px) { + .navbar-collapse { + width: auto; + border-top: 0; + -webkit-box-shadow: none; + box-shadow: none; + } + .navbar-collapse.collapse { + display: block !important; + height: auto !important; + padding-bottom: 0; + overflow: visible !important; + } + .navbar-collapse.in { + overflow-y: visible; + } + .navbar-fixed-top .navbar-collapse, + .navbar-static-top .navbar-collapse, + .navbar-fixed-bottom .navbar-collapse { + padding-right: 0; + padding-left: 0; + } +} +.navbar-fixed-top, +.navbar-fixed-bottom { + position: fixed; + right: 0; + left: 0; + z-index: 1030; +} +.navbar-fixed-top .navbar-collapse, +.navbar-fixed-bottom .navbar-collapse { + max-height: 340px; +} +@media (max-device-width: 480px) and (orientation: landscape) { + .navbar-fixed-top .navbar-collapse, + .navbar-fixed-bottom .navbar-collapse { + max-height: 200px; + } +} +@media (min-width: 768px) { + .navbar-fixed-top, + .navbar-fixed-bottom { + border-radius: 0; + } +} +.navbar-fixed-top { + top: 0; + border-width: 0 0 1px; +} +.navbar-fixed-bottom { + bottom: 0; + margin-bottom: 0; + border-width: 1px 0 0; +} +.container > .navbar-header, +.container-fluid > .navbar-header, +.container > .navbar-collapse, +.container-fluid > .navbar-collapse { + margin-right: -15px; + margin-left: -15px; +} +@media (min-width: 768px) { + .container > .navbar-header, + .container-fluid > .navbar-header, + .container > .navbar-collapse, + .container-fluid > .navbar-collapse { + margin-right: 0; + margin-left: 0; + } +} +.navbar-static-top { + z-index: 1000; + border-width: 0 0 1px; +} +@media (min-width: 768px) { + .navbar-static-top { + border-radius: 0; + } +} +.navbar-brand { + float: left; + height: 50px; + padding: 15px 15px; + font-size: 18px; + line-height: 20px; +} +.navbar-brand:hover, +.navbar-brand:focus { + text-decoration: none; +} +.navbar-brand > img { + display: block; +} +@media (min-width: 768px) { + .navbar > .container .navbar-brand, + .navbar > .container-fluid .navbar-brand { + margin-left: -15px; + } +} +.navbar-toggle { + position: relative; + float: right; + padding: 9px 10px; + margin-right: 15px; + margin-top: 8px; + margin-bottom: 8px; + background-color: transparent; + background-image: none; + border: 1px solid transparent; + border-radius: 4px; +} +.navbar-toggle:focus { + outline: 0; +} +.navbar-toggle .icon-bar { + display: block; + width: 22px; + height: 2px; + border-radius: 1px; +} +.navbar-toggle .icon-bar + .icon-bar { + margin-top: 4px; +} +@media (min-width: 768px) { + .navbar-toggle { + display: none; + } +} +.navbar-nav { + margin: 7.5px -15px; +} +.navbar-nav > li > a { + padding-top: 10px; + padding-bottom: 10px; + line-height: 20px; +} +@media (max-width: 767px) { + .navbar-nav .open .dropdown-menu { + position: static; + float: none; + width: auto; + margin-top: 0; + background-color: transparent; + border: 0; + -webkit-box-shadow: none; + box-shadow: none; + } + .navbar-nav .open .dropdown-menu > li > a, + .navbar-nav .open .dropdown-menu .dropdown-header { + padding: 5px 15px 5px 25px; + } + .navbar-nav .open .dropdown-menu > li > a { + line-height: 20px; + } + .navbar-nav .open .dropdown-menu > li > a:hover, + .navbar-nav .open .dropdown-menu > li > a:focus { + background-image: none; + } +} +@media (min-width: 768px) { + .navbar-nav { + float: left; + margin: 0; + } + .navbar-nav > li { + float: left; + } + .navbar-nav > li > a { + padding-top: 15px; + padding-bottom: 15px; + } +} +.navbar-form { + padding: 10px 15px; + margin-right: -15px; + margin-left: -15px; + border-top: 1px solid transparent; + border-bottom: 1px solid transparent; + -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1); + box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1); + margin-top: 8px; + margin-bottom: 8px; +} +@media (min-width: 768px) { + .navbar-form .form-group { + display: inline-block; + margin-bottom: 0; + vertical-align: middle; + } + .navbar-form .form-control { + display: inline-block; + width: auto; + vertical-align: middle; + } + .navbar-form .form-control-static { + display: inline-block; + } + .navbar-form .input-group { + display: inline-table; + vertical-align: middle; + } + .navbar-form .input-group .input-group-addon, + .navbar-form .input-group .input-group-btn, + .navbar-form .input-group .form-control { + width: auto; + } + .navbar-form .input-group > .form-control { + width: 100%; + } + .navbar-form .control-label { + margin-bottom: 0; + vertical-align: middle; + } + .navbar-form .radio, + .navbar-form .checkbox { + display: inline-block; + margin-top: 0; + margin-bottom: 0; + vertical-align: middle; + } + .navbar-form .radio label, + .navbar-form .checkbox label { + padding-left: 0; + } + .navbar-form .radio input[type="radio"], + .navbar-form .checkbox input[type="checkbox"] { + position: relative; + margin-left: 0; + } + .navbar-form .has-feedback .form-control-feedback { + top: 0; + } +} +@media (max-width: 767px) { + .navbar-form .form-group { + margin-bottom: 5px; + } + .navbar-form .form-group:last-child { + margin-bottom: 0; + } +} +@media (min-width: 768px) { + .navbar-form { + width: auto; + padding-top: 0; + padding-bottom: 0; + margin-right: 0; + margin-left: 0; + border: 0; + -webkit-box-shadow: none; + box-shadow: none; + } +} +.navbar-nav > li > .dropdown-menu { + margin-top: 0; + border-top-left-radius: 0; + border-top-right-radius: 0; +} +.navbar-fixed-bottom .navbar-nav > li > .dropdown-menu { + margin-bottom: 0; + border-top-left-radius: 4px; + border-top-right-radius: 4px; + border-bottom-right-radius: 0; + border-bottom-left-radius: 0; +} +.navbar-btn { + margin-top: 8px; + margin-bottom: 8px; +} +.navbar-btn.btn-sm { + margin-top: 10px; + margin-bottom: 10px; +} +.navbar-btn.btn-xs { + margin-top: 14px; + margin-bottom: 14px; +} +.navbar-text { + margin-top: 15px; + margin-bottom: 15px; +} +@media (min-width: 768px) { + .navbar-text { + float: left; + margin-right: 15px; + margin-left: 15px; + } +} +@media (min-width: 768px) { + .navbar-left { + float: left !important; + } + .navbar-right { + float: right !important; + margin-right: -15px; + } + .navbar-right ~ .navbar-right { + margin-right: 0; + } +} +.navbar-default { + background-color: #f8f8f8; + border-color: #e7e7e7; +} +.navbar-default .navbar-brand { + color: #777; +} +.navbar-default .navbar-brand:hover, +.navbar-default .navbar-brand:focus { + color: #5e5e5e; + background-color: transparent; +} +.navbar-default .navbar-text { + color: #777; +} +.navbar-default .navbar-nav > li > a { + color: #777; +} +.navbar-default .navbar-nav > li > a:hover, +.navbar-default .navbar-nav > li > a:focus { + color: #333; + background-color: transparent; +} +.navbar-default .navbar-nav > .active > a, +.navbar-default .navbar-nav > .active > a:hover, +.navbar-default .navbar-nav > .active > a:focus { + color: #555; + background-color: #e7e7e7; +} +.navbar-default .navbar-nav > .disabled > a, +.navbar-default .navbar-nav > .disabled > a:hover, +.navbar-default .navbar-nav > .disabled > a:focus { + color: #ccc; + background-color: transparent; +} +.navbar-default .navbar-nav > .open > a, +.navbar-default .navbar-nav > .open > a:hover, +.navbar-default .navbar-nav > .open > a:focus { + color: #555; + background-color: #e7e7e7; +} +@media (max-width: 767px) { + .navbar-default .navbar-nav .open .dropdown-menu > li > a { + color: #777; + } + .navbar-default .navbar-nav .open .dropdown-menu > li > a:hover, + .navbar-default .navbar-nav .open .dropdown-menu > li > a:focus { + color: #333; + background-color: transparent; + } + .navbar-default .navbar-nav .open .dropdown-menu > .active > a, + .navbar-default .navbar-nav .open .dropdown-menu > .active > a:hover, + .navbar-default .navbar-nav .open .dropdown-menu > .active > a:focus { + color: #555; + background-color: #e7e7e7; + } + .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a, + .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:hover, + .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:focus { + color: #ccc; + background-color: transparent; + } +} +.navbar-default .navbar-toggle { + border-color: #ddd; +} +.navbar-default .navbar-toggle:hover, +.navbar-default .navbar-toggle:focus { + background-color: #ddd; +} +.navbar-default .navbar-toggle .icon-bar { + background-color: #888; +} +.navbar-default .navbar-collapse, +.navbar-default .navbar-form { + border-color: #e7e7e7; +} +.navbar-default .navbar-link { + color: #777; +} +.navbar-default .navbar-link:hover { + color: #333; +} +.navbar-default .btn-link { + color: #777; +} +.navbar-default .btn-link:hover, +.navbar-default .btn-link:focus { + color: #333; +} +.navbar-default .btn-link[disabled]:hover, +fieldset[disabled] .navbar-default .btn-link:hover, +.navbar-default .btn-link[disabled]:focus, +fieldset[disabled] .navbar-default .btn-link:focus { + color: #ccc; +} +.navbar-inverse { + background-color: #222; + border-color: #080808; +} +.navbar-inverse .navbar-brand { + color: #9d9d9d; +} +.navbar-inverse .navbar-brand:hover, +.navbar-inverse .navbar-brand:focus { + color: #fff; + background-color: transparent; +} +.navbar-inverse .navbar-text { + color: #9d9d9d; +} +.navbar-inverse .navbar-nav > li > a { + color: #9d9d9d; +} +.navbar-inverse .navbar-nav > li > a:hover, +.navbar-inverse .navbar-nav > li > a:focus { + color: #fff; + background-color: transparent; +} +.navbar-inverse .navbar-nav > .active > a, +.navbar-inverse .navbar-nav > .active > a:hover, +.navbar-inverse .navbar-nav > .active > a:focus { + color: #fff; + background-color: #080808; +} +.navbar-inverse .navbar-nav > .disabled > a, +.navbar-inverse .navbar-nav > .disabled > a:hover, +.navbar-inverse .navbar-nav > .disabled > a:focus { + color: #444; + background-color: transparent; +} +.navbar-inverse .navbar-nav > .open > a, +.navbar-inverse .navbar-nav > .open > a:hover, +.navbar-inverse .navbar-nav > .open > a:focus { + color: #fff; + background-color: #080808; +} +@media (max-width: 767px) { + .navbar-inverse .navbar-nav .open .dropdown-menu > .dropdown-header { + border-color: #080808; + } + .navbar-inverse .navbar-nav .open .dropdown-menu .divider { + background-color: #080808; + } + .navbar-inverse .navbar-nav .open .dropdown-menu > li > a { + color: #9d9d9d; + } + .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:hover, + .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:focus { + color: #fff; + background-color: transparent; + } + .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a, + .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:hover, + .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:focus { + color: #fff; + background-color: #080808; + } + .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a, + .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:hover, + .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:focus { + color: #444; + background-color: transparent; + } +} +.navbar-inverse .navbar-toggle { + border-color: #333; +} +.navbar-inverse .navbar-toggle:hover, +.navbar-inverse .navbar-toggle:focus { + background-color: #333; +} +.navbar-inverse .navbar-toggle .icon-bar { + background-color: #fff; +} +.navbar-inverse .navbar-collapse, +.navbar-inverse .navbar-form { + border-color: #101010; +} +.navbar-inverse .navbar-link { + color: #9d9d9d; +} +.navbar-inverse .navbar-link:hover { + color: #fff; +} +.navbar-inverse .btn-link { + color: #9d9d9d; +} +.navbar-inverse .btn-link:hover, +.navbar-inverse .btn-link:focus { + color: #fff; +} +.navbar-inverse .btn-link[disabled]:hover, +fieldset[disabled] .navbar-inverse .btn-link:hover, +.navbar-inverse .btn-link[disabled]:focus, +fieldset[disabled] .navbar-inverse .btn-link:focus { + color: #444; +} +.breadcrumb { + padding: 8px 15px; + margin-bottom: 20px; + list-style: none; + background-color: #f5f5f5; + border-radius: 4px; +} +.breadcrumb > li { + display: inline-block; +} +.breadcrumb > li + li:before { + padding: 0 5px; + color: #ccc; + content: "/\00a0"; +} +.breadcrumb > .active { + color: #777777; +} +.pagination { + display: inline-block; + padding-left: 0; + margin: 20px 0; + border-radius: 4px; +} +.pagination > li { + display: inline; +} +.pagination > li > a, +.pagination > li > span { + position: relative; + float: left; + padding: 6px 12px; + margin-left: -1px; + line-height: 1.42857143; + color: #337ab7; + text-decoration: none; + background-color: #fff; + border: 1px solid #ddd; +} +.pagination > li > a:hover, +.pagination > li > span:hover, +.pagination > li > a:focus, +.pagination > li > span:focus { + z-index: 2; + color: #23527c; + background-color: #eeeeee; + border-color: #ddd; +} +.pagination > li:first-child > a, +.pagination > li:first-child > span { + margin-left: 0; + border-top-left-radius: 4px; + border-bottom-left-radius: 4px; +} +.pagination > li:last-child > a, +.pagination > li:last-child > span { + border-top-right-radius: 4px; + border-bottom-right-radius: 4px; +} +.pagination > .active > a, +.pagination > .active > span, +.pagination > .active > a:hover, +.pagination > .active > span:hover, +.pagination > .active > a:focus, +.pagination > .active > span:focus { + z-index: 3; + color: #fff; + cursor: default; + background-color: #337ab7; + border-color: #337ab7; +} +.pagination > .disabled > span, +.pagination > .disabled > span:hover, +.pagination > .disabled > span:focus, +.pagination > .disabled > a, +.pagination > .disabled > a:hover, +.pagination > .disabled > a:focus { + color: #777777; + cursor: not-allowed; + background-color: #fff; + border-color: #ddd; +} +.pagination-lg > li > a, +.pagination-lg > li > span { + padding: 10px 16px; + font-size: 18px; + line-height: 1.3333333; +} +.pagination-lg > li:first-child > a, +.pagination-lg > li:first-child > span { + border-top-left-radius: 6px; + border-bottom-left-radius: 6px; +} +.pagination-lg > li:last-child > a, +.pagination-lg > li:last-child > span { + border-top-right-radius: 6px; + border-bottom-right-radius: 6px; +} +.pagination-sm > li > a, +.pagination-sm > li > span { + padding: 5px 10px; + font-size: 12px; + line-height: 1.5; +} +.pagination-sm > li:first-child > a, +.pagination-sm > li:first-child > span { + border-top-left-radius: 3px; + border-bottom-left-radius: 3px; +} +.pagination-sm > li:last-child > a, +.pagination-sm > li:last-child > span { + border-top-right-radius: 3px; + border-bottom-right-radius: 3px; +} +.pager { + padding-left: 0; + margin: 20px 0; + text-align: center; + list-style: none; +} +.pager li { + display: inline; +} +.pager li > a, +.pager li > span { + display: inline-block; + padding: 5px 14px; + background-color: #fff; + border: 1px solid #ddd; + border-radius: 15px; +} +.pager li > a:hover, +.pager li > a:focus { + text-decoration: none; + background-color: #eeeeee; +} +.pager .next > a, +.pager .next > span { + float: right; +} +.pager .previous > a, +.pager .previous > span { + float: left; +} +.pager .disabled > a, +.pager .disabled > a:hover, +.pager .disabled > a:focus, +.pager .disabled > span { + color: #777777; + cursor: not-allowed; + background-color: #fff; +} +.label { + display: inline; + padding: 0.2em 0.6em 0.3em; + font-size: 75%; + font-weight: 700; + line-height: 1; + color: #fff; + text-align: center; + white-space: nowrap; + vertical-align: baseline; + border-radius: 0.25em; +} +a.label:hover, +a.label:focus { + color: #fff; + text-decoration: none; + cursor: pointer; +} +.label:empty { + display: none; +} +.btn .label { + position: relative; + top: -1px; +} +.label-default { + background-color: #777777; +} +.label-default[href]:hover, +.label-default[href]:focus { + background-color: #5e5e5e; +} +.label-primary { + background-color: #337ab7; +} +.label-primary[href]:hover, +.label-primary[href]:focus { + background-color: #286090; +} +.label-success { + background-color: #5cb85c; +} +.label-success[href]:hover, +.label-success[href]:focus { + background-color: #449d44; +} +.label-info { + background-color: #5bc0de; +} +.label-info[href]:hover, +.label-info[href]:focus { + background-color: #31b0d5; +} +.label-warning { + background-color: #f0ad4e; +} +.label-warning[href]:hover, +.label-warning[href]:focus { + background-color: #ec971f; +} +.label-danger { + background-color: #d9534f; +} +.label-danger[href]:hover, +.label-danger[href]:focus { + background-color: #c9302c; +} +.badge { + display: inline-block; + min-width: 10px; + padding: 3px 7px; + font-size: 12px; + font-weight: bold; + line-height: 1; + color: #fff; + text-align: center; + white-space: nowrap; + vertical-align: middle; + background-color: #777777; + border-radius: 10px; +} +.badge:empty { + display: none; +} +.btn .badge { + position: relative; + top: -1px; +} +.btn-xs .badge, +.btn-group-xs > .btn .badge { + top: 0; + padding: 1px 5px; +} +a.badge:hover, +a.badge:focus { + color: #fff; + text-decoration: none; + cursor: pointer; +} +.list-group-item.active > .badge, +.nav-pills > .active > a > .badge { + color: #337ab7; + background-color: #fff; +} +.list-group-item > .badge { + float: right; +} +.list-group-item > .badge + .badge { + margin-right: 5px; +} +.nav-pills > li > a > .badge { + margin-left: 3px; +} +.jumbotron { + padding-top: 30px; + padding-bottom: 30px; + margin-bottom: 30px; + color: inherit; + background-color: #eeeeee; +} +.jumbotron h1, +.jumbotron .h1 { + color: inherit; +} +.jumbotron p { + margin-bottom: 15px; + font-size: 21px; + font-weight: 200; +} +.jumbotron > hr { + border-top-color: #d5d5d5; +} +.container .jumbotron, +.container-fluid .jumbotron { + padding-right: 15px; + padding-left: 15px; + border-radius: 6px; +} +.jumbotron .container { + max-width: 100%; +} +@media screen and (min-width: 768px) { + .jumbotron { + padding-top: 48px; + padding-bottom: 48px; + } + .container .jumbotron, + .container-fluid .jumbotron { + padding-right: 60px; + padding-left: 60px; + } + .jumbotron h1, + .jumbotron .h1 { + font-size: 63px; + } +} +.thumbnail { + display: block; + padding: 4px; + margin-bottom: 20px; + line-height: 1.42857143; + background-color: #fff; + border: 1px solid #ddd; + border-radius: 4px; + -webkit-transition: border 0.2s ease-in-out; + -o-transition: border 0.2s ease-in-out; + transition: border 0.2s ease-in-out; +} +.thumbnail > img, +.thumbnail a > img { + margin-right: auto; + margin-left: auto; +} +a.thumbnail:hover, +a.thumbnail:focus, +a.thumbnail.active { + border-color: #337ab7; +} +.thumbnail .caption { + padding: 9px; + color: #333333; +} +.alert { + padding: 15px; + margin-bottom: 20px; + border: 1px solid transparent; + border-radius: 4px; +} +.alert h4 { + margin-top: 0; + color: inherit; +} +.alert .alert-link { + font-weight: bold; +} +.alert > p, +.alert > ul { + margin-bottom: 0; +} +.alert > p + p { + margin-top: 5px; +} +.alert-dismissable, +.alert-dismissible { + padding-right: 35px; +} +.alert-dismissable .close, +.alert-dismissible .close { + position: relative; + top: -2px; + right: -21px; + color: inherit; +} +.alert-success { + color: #3c763d; + background-color: #dff0d8; + border-color: #d6e9c6; +} +.alert-success hr { + border-top-color: #c9e2b3; +} +.alert-success .alert-link { + color: #2b542c; +} +.alert-info { + color: #31708f; + background-color: #d9edf7; + border-color: #bce8f1; +} +.alert-info hr { + border-top-color: #a6e1ec; +} +.alert-info .alert-link { + color: #245269; +} +.alert-warning { + color: #8a6d3b; + background-color: #fcf8e3; + border-color: #faebcc; +} +.alert-warning hr { + border-top-color: #f7e1b5; +} +.alert-warning .alert-link { + color: #66512c; +} +.alert-danger { + color: #a94442; + background-color: #f2dede; + border-color: #ebccd1; +} +.alert-danger hr { + border-top-color: #e4b9c0; +} +.alert-danger .alert-link { + color: #843534; +} +@-webkit-keyframes progress-bar-stripes { + from { + background-position: 40px 0; + } + to { + background-position: 0 0; + } +} +@-o-keyframes progress-bar-stripes { + from { + background-position: 40px 0; + } + to { + background-position: 0 0; + } +} +@keyframes progress-bar-stripes { + from { + background-position: 40px 0; + } + to { + background-position: 0 0; + } +} +.progress { + height: 20px; + margin-bottom: 20px; + overflow: hidden; + background-color: #f5f5f5; + border-radius: 4px; + -webkit-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1); + box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1); +} +.progress-bar { + float: left; + width: 0%; + height: 100%; + font-size: 12px; + line-height: 20px; + color: #fff; + text-align: center; + background-color: #337ab7; + -webkit-box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15); + box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15); + -webkit-transition: width 0.6s ease; + -o-transition: width 0.6s ease; + transition: width 0.6s ease; +} +.progress-striped .progress-bar, +.progress-bar-striped { + background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); + background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); + background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); + -webkit-background-size: 40px 40px; + background-size: 40px 40px; +} +.progress.active .progress-bar, +.progress-bar.active { + -webkit-animation: progress-bar-stripes 2s linear infinite; + -o-animation: progress-bar-stripes 2s linear infinite; + animation: progress-bar-stripes 2s linear infinite; +} +.progress-bar-success { + background-color: #5cb85c; +} +.progress-striped .progress-bar-success { + background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); + background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); + background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); +} +.progress-bar-info { + background-color: #5bc0de; +} +.progress-striped .progress-bar-info { + background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); + background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); + background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); +} +.progress-bar-warning { + background-color: #f0ad4e; +} +.progress-striped .progress-bar-warning { + background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); + background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); + background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); +} +.progress-bar-danger { + background-color: #d9534f; +} +.progress-striped .progress-bar-danger { + background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); + background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); + background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); +} +.media { + margin-top: 15px; +} +.media:first-child { + margin-top: 0; +} +.media, +.media-body { + overflow: hidden; + zoom: 1; +} +.media-body { + width: 10000px; +} +.media-object { + display: block; +} +.media-object.img-thumbnail { + max-width: none; +} +.media-right, +.media > .pull-right { + padding-left: 10px; +} +.media-left, +.media > .pull-left { + padding-right: 10px; +} +.media-left, +.media-right, +.media-body { + display: table-cell; + vertical-align: top; +} +.media-middle { + vertical-align: middle; +} +.media-bottom { + vertical-align: bottom; +} +.media-heading { + margin-top: 0; + margin-bottom: 5px; +} +.media-list { + padding-left: 0; + list-style: none; +} +.list-group { + padding-left: 0; + margin-bottom: 20px; +} +.list-group-item { + position: relative; + display: block; + padding: 10px 15px; + margin-bottom: -1px; + background-color: #fff; + border: 1px solid #ddd; +} +.list-group-item:first-child { + border-top-left-radius: 4px; + border-top-right-radius: 4px; +} +.list-group-item:last-child { + margin-bottom: 0; + border-bottom-right-radius: 4px; + border-bottom-left-radius: 4px; +} +.list-group-item.disabled, +.list-group-item.disabled:hover, +.list-group-item.disabled:focus { + color: #777777; + cursor: not-allowed; + background-color: #eeeeee; +} +.list-group-item.disabled .list-group-item-heading, +.list-group-item.disabled:hover .list-group-item-heading, +.list-group-item.disabled:focus .list-group-item-heading { + color: inherit; +} +.list-group-item.disabled .list-group-item-text, +.list-group-item.disabled:hover .list-group-item-text, +.list-group-item.disabled:focus .list-group-item-text { + color: #777777; +} +.list-group-item.active, +.list-group-item.active:hover, +.list-group-item.active:focus { + z-index: 2; + color: #fff; + background-color: #337ab7; + border-color: #337ab7; +} +.list-group-item.active .list-group-item-heading, +.list-group-item.active:hover .list-group-item-heading, +.list-group-item.active:focus .list-group-item-heading, +.list-group-item.active .list-group-item-heading > small, +.list-group-item.active:hover .list-group-item-heading > small, +.list-group-item.active:focus .list-group-item-heading > small, +.list-group-item.active .list-group-item-heading > .small, +.list-group-item.active:hover .list-group-item-heading > .small, +.list-group-item.active:focus .list-group-item-heading > .small { + color: inherit; +} +.list-group-item.active .list-group-item-text, +.list-group-item.active:hover .list-group-item-text, +.list-group-item.active:focus .list-group-item-text { + color: #c7ddef; +} +a.list-group-item, +button.list-group-item { + color: #555; +} +a.list-group-item .list-group-item-heading, +button.list-group-item .list-group-item-heading { + color: #333; +} +a.list-group-item:hover, +button.list-group-item:hover, +a.list-group-item:focus, +button.list-group-item:focus { + color: #555; + text-decoration: none; + background-color: #f5f5f5; +} +button.list-group-item { + width: 100%; + text-align: left; +} +.list-group-item-success { + color: #3c763d; + background-color: #dff0d8; +} +a.list-group-item-success, +button.list-group-item-success { + color: #3c763d; +} +a.list-group-item-success .list-group-item-heading, +button.list-group-item-success .list-group-item-heading { + color: inherit; +} +a.list-group-item-success:hover, +button.list-group-item-success:hover, +a.list-group-item-success:focus, +button.list-group-item-success:focus { + color: #3c763d; + background-color: #d0e9c6; +} +a.list-group-item-success.active, +button.list-group-item-success.active, +a.list-group-item-success.active:hover, +button.list-group-item-success.active:hover, +a.list-group-item-success.active:focus, +button.list-group-item-success.active:focus { + color: #fff; + background-color: #3c763d; + border-color: #3c763d; +} +.list-group-item-info { + color: #31708f; + background-color: #d9edf7; +} +a.list-group-item-info, +button.list-group-item-info { + color: #31708f; +} +a.list-group-item-info .list-group-item-heading, +button.list-group-item-info .list-group-item-heading { + color: inherit; +} +a.list-group-item-info:hover, +button.list-group-item-info:hover, +a.list-group-item-info:focus, +button.list-group-item-info:focus { + color: #31708f; + background-color: #c4e3f3; +} +a.list-group-item-info.active, +button.list-group-item-info.active, +a.list-group-item-info.active:hover, +button.list-group-item-info.active:hover, +a.list-group-item-info.active:focus, +button.list-group-item-info.active:focus { + color: #fff; + background-color: #31708f; + border-color: #31708f; +} +.list-group-item-warning { + color: #8a6d3b; + background-color: #fcf8e3; +} +a.list-group-item-warning, +button.list-group-item-warning { + color: #8a6d3b; +} +a.list-group-item-warning .list-group-item-heading, +button.list-group-item-warning .list-group-item-heading { + color: inherit; +} +a.list-group-item-warning:hover, +button.list-group-item-warning:hover, +a.list-group-item-warning:focus, +button.list-group-item-warning:focus { + color: #8a6d3b; + background-color: #faf2cc; +} +a.list-group-item-warning.active, +button.list-group-item-warning.active, +a.list-group-item-warning.active:hover, +button.list-group-item-warning.active:hover, +a.list-group-item-warning.active:focus, +button.list-group-item-warning.active:focus { + color: #fff; + background-color: #8a6d3b; + border-color: #8a6d3b; +} +.list-group-item-danger { + color: #a94442; + background-color: #f2dede; +} +a.list-group-item-danger, +button.list-group-item-danger { + color: #a94442; +} +a.list-group-item-danger .list-group-item-heading, +button.list-group-item-danger .list-group-item-heading { + color: inherit; +} +a.list-group-item-danger:hover, +button.list-group-item-danger:hover, +a.list-group-item-danger:focus, +button.list-group-item-danger:focus { + color: #a94442; + background-color: #ebcccc; +} +a.list-group-item-danger.active, +button.list-group-item-danger.active, +a.list-group-item-danger.active:hover, +button.list-group-item-danger.active:hover, +a.list-group-item-danger.active:focus, +button.list-group-item-danger.active:focus { + color: #fff; + background-color: #a94442; + border-color: #a94442; +} +.list-group-item-heading { + margin-top: 0; + margin-bottom: 5px; +} +.list-group-item-text { + margin-bottom: 0; + line-height: 1.3; +} +.panel { + margin-bottom: 20px; + background-color: #fff; + border: 1px solid transparent; + border-radius: 4px; + -webkit-box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05); + box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05); +} +.panel-body { + padding: 15px; +} +.panel-heading { + padding: 10px 15px; + border-bottom: 1px solid transparent; + border-top-left-radius: 3px; + border-top-right-radius: 3px; +} +.panel-heading > .dropdown .dropdown-toggle { + color: inherit; +} +.panel-title { + margin-top: 0; + margin-bottom: 0; + font-size: 16px; + color: inherit; +} +.panel-title > a, +.panel-title > small, +.panel-title > .small, +.panel-title > small > a, +.panel-title > .small > a { + color: inherit; +} +.panel-footer { + padding: 10px 15px; + background-color: #f5f5f5; + border-top: 1px solid #ddd; + border-bottom-right-radius: 3px; + border-bottom-left-radius: 3px; +} +.panel > .list-group, +.panel > .panel-collapse > .list-group { + margin-bottom: 0; +} +.panel > .list-group .list-group-item, +.panel > .panel-collapse > .list-group .list-group-item { + border-width: 1px 0; + border-radius: 0; +} +.panel > .list-group:first-child .list-group-item:first-child, +.panel > .panel-collapse > .list-group:first-child .list-group-item:first-child { + border-top: 0; + border-top-left-radius: 3px; + border-top-right-radius: 3px; +} +.panel > .list-group:last-child .list-group-item:last-child, +.panel > .panel-collapse > .list-group:last-child .list-group-item:last-child { + border-bottom: 0; + border-bottom-right-radius: 3px; + border-bottom-left-radius: 3px; +} +.panel > .panel-heading + .panel-collapse > .list-group .list-group-item:first-child { + border-top-left-radius: 0; + border-top-right-radius: 0; +} +.panel-heading + .list-group .list-group-item:first-child { + border-top-width: 0; +} +.list-group + .panel-footer { + border-top-width: 0; +} +.panel > .table, +.panel > .table-responsive > .table, +.panel > .panel-collapse > .table { + margin-bottom: 0; +} +.panel > .table caption, +.panel > .table-responsive > .table caption, +.panel > .panel-collapse > .table caption { + padding-right: 15px; + padding-left: 15px; +} +.panel > .table:first-child, +.panel > .table-responsive:first-child > .table:first-child { + border-top-left-radius: 3px; + border-top-right-radius: 3px; +} +.panel > .table:first-child > thead:first-child > tr:first-child, +.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child, +.panel > .table:first-child > tbody:first-child > tr:first-child, +.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child { + border-top-left-radius: 3px; + border-top-right-radius: 3px; +} +.panel > .table:first-child > thead:first-child > tr:first-child td:first-child, +.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:first-child, +.panel > .table:first-child > tbody:first-child > tr:first-child td:first-child, +.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:first-child, +.panel > .table:first-child > thead:first-child > tr:first-child th:first-child, +.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:first-child, +.panel > .table:first-child > tbody:first-child > tr:first-child th:first-child, +.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:first-child { + border-top-left-radius: 3px; +} +.panel > .table:first-child > thead:first-child > tr:first-child td:last-child, +.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:last-child, +.panel > .table:first-child > tbody:first-child > tr:first-child td:last-child, +.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:last-child, +.panel > .table:first-child > thead:first-child > tr:first-child th:last-child, +.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:last-child, +.panel > .table:first-child > tbody:first-child > tr:first-child th:last-child, +.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:last-child { + border-top-right-radius: 3px; +} +.panel > .table:last-child, +.panel > .table-responsive:last-child > .table:last-child { + border-bottom-right-radius: 3px; + border-bottom-left-radius: 3px; +} +.panel > .table:last-child > tbody:last-child > tr:last-child, +.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child, +.panel > .table:last-child > tfoot:last-child > tr:last-child, +.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child { + border-bottom-right-radius: 3px; + border-bottom-left-radius: 3px; +} +.panel > .table:last-child > tbody:last-child > tr:last-child td:first-child, +.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:first-child, +.panel > .table:last-child > tfoot:last-child > tr:last-child td:first-child, +.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:first-child, +.panel > .table:last-child > tbody:last-child > tr:last-child th:first-child, +.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:first-child, +.panel > .table:last-child > tfoot:last-child > tr:last-child th:first-child, +.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:first-child { + border-bottom-left-radius: 3px; +} +.panel > .table:last-child > tbody:last-child > tr:last-child td:last-child, +.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:last-child, +.panel > .table:last-child > tfoot:last-child > tr:last-child td:last-child, +.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:last-child, +.panel > .table:last-child > tbody:last-child > tr:last-child th:last-child, +.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:last-child, +.panel > .table:last-child > tfoot:last-child > tr:last-child th:last-child, +.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:last-child { + border-bottom-right-radius: 3px; +} +.panel > .panel-body + .table, +.panel > .panel-body + .table-responsive, +.panel > .table + .panel-body, +.panel > .table-responsive + .panel-body { + border-top: 1px solid #ddd; +} +.panel > .table > tbody:first-child > tr:first-child th, +.panel > .table > tbody:first-child > tr:first-child td { + border-top: 0; +} +.panel > .table-bordered, +.panel > .table-responsive > .table-bordered { + border: 0; +} +.panel > .table-bordered > thead > tr > th:first-child, +.panel > .table-responsive > .table-bordered > thead > tr > th:first-child, +.panel > .table-bordered > tbody > tr > th:first-child, +.panel > .table-responsive > .table-bordered > tbody > tr > th:first-child, +.panel > .table-bordered > tfoot > tr > th:first-child, +.panel > .table-responsive > .table-bordered > tfoot > tr > th:first-child, +.panel > .table-bordered > thead > tr > td:first-child, +.panel > .table-responsive > .table-bordered > thead > tr > td:first-child, +.panel > .table-bordered > tbody > tr > td:first-child, +.panel > .table-responsive > .table-bordered > tbody > tr > td:first-child, +.panel > .table-bordered > tfoot > tr > td:first-child, +.panel > .table-responsive > .table-bordered > tfoot > tr > td:first-child { + border-left: 0; +} +.panel > .table-bordered > thead > tr > th:last-child, +.panel > .table-responsive > .table-bordered > thead > tr > th:last-child, +.panel > .table-bordered > tbody > tr > th:last-child, +.panel > .table-responsive > .table-bordered > tbody > tr > th:last-child, +.panel > .table-bordered > tfoot > tr > th:last-child, +.panel > .table-responsive > .table-bordered > tfoot > tr > th:last-child, +.panel > .table-bordered > thead > tr > td:last-child, +.panel > .table-responsive > .table-bordered > thead > tr > td:last-child, +.panel > .table-bordered > tbody > tr > td:last-child, +.panel > .table-responsive > .table-bordered > tbody > tr > td:last-child, +.panel > .table-bordered > tfoot > tr > td:last-child, +.panel > .table-responsive > .table-bordered > tfoot > tr > td:last-child { + border-right: 0; +} +.panel > .table-bordered > thead > tr:first-child > td, +.panel > .table-responsive > .table-bordered > thead > tr:first-child > td, +.panel > .table-bordered > tbody > tr:first-child > td, +.panel > .table-responsive > .table-bordered > tbody > tr:first-child > td, +.panel > .table-bordered > thead > tr:first-child > th, +.panel > .table-responsive > .table-bordered > thead > tr:first-child > th, +.panel > .table-bordered > tbody > tr:first-child > th, +.panel > .table-responsive > .table-bordered > tbody > tr:first-child > th { + border-bottom: 0; +} +.panel > .table-bordered > tbody > tr:last-child > td, +.panel > .table-responsive > .table-bordered > tbody > tr:last-child > td, +.panel > .table-bordered > tfoot > tr:last-child > td, +.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > td, +.panel > .table-bordered > tbody > tr:last-child > th, +.panel > .table-responsive > .table-bordered > tbody > tr:last-child > th, +.panel > .table-bordered > tfoot > tr:last-child > th, +.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > th { + border-bottom: 0; +} +.panel > .table-responsive { + margin-bottom: 0; + border: 0; +} +.panel-group { + margin-bottom: 20px; +} +.panel-group .panel { + margin-bottom: 0; + border-radius: 4px; +} +.panel-group .panel + .panel { + margin-top: 5px; +} +.panel-group .panel-heading { + border-bottom: 0; +} +.panel-group .panel-heading + .panel-collapse > .panel-body, +.panel-group .panel-heading + .panel-collapse > .list-group { + border-top: 1px solid #ddd; +} +.panel-group .panel-footer { + border-top: 0; +} +.panel-group .panel-footer + .panel-collapse .panel-body { + border-bottom: 1px solid #ddd; +} +.panel-default { + border-color: #ddd; +} +.panel-default > .panel-heading { + color: #333333; + background-color: #f5f5f5; + border-color: #ddd; +} +.panel-default > .panel-heading + .panel-collapse > .panel-body { + border-top-color: #ddd; +} +.panel-default > .panel-heading .badge { + color: #f5f5f5; + background-color: #333333; +} +.panel-default > .panel-footer + .panel-collapse > .panel-body { + border-bottom-color: #ddd; +} +.panel-primary { + border-color: #337ab7; +} +.panel-primary > .panel-heading { + color: #fff; + background-color: #337ab7; + border-color: #337ab7; +} +.panel-primary > .panel-heading + .panel-collapse > .panel-body { + border-top-color: #337ab7; +} +.panel-primary > .panel-heading .badge { + color: #337ab7; + background-color: #fff; +} +.panel-primary > .panel-footer + .panel-collapse > .panel-body { + border-bottom-color: #337ab7; +} +.panel-success { + border-color: #d6e9c6; +} +.panel-success > .panel-heading { + color: #3c763d; + background-color: #dff0d8; + border-color: #d6e9c6; +} +.panel-success > .panel-heading + .panel-collapse > .panel-body { + border-top-color: #d6e9c6; +} +.panel-success > .panel-heading .badge { + color: #dff0d8; + background-color: #3c763d; +} +.panel-success > .panel-footer + .panel-collapse > .panel-body { + border-bottom-color: #d6e9c6; +} +.panel-info { + border-color: #bce8f1; +} +.panel-info > .panel-heading { + color: #31708f; + background-color: #d9edf7; + border-color: #bce8f1; +} +.panel-info > .panel-heading + .panel-collapse > .panel-body { + border-top-color: #bce8f1; +} +.panel-info > .panel-heading .badge { + color: #d9edf7; + background-color: #31708f; +} +.panel-info > .panel-footer + .panel-collapse > .panel-body { + border-bottom-color: #bce8f1; +} +.panel-warning { + border-color: #faebcc; +} +.panel-warning > .panel-heading { + color: #8a6d3b; + background-color: #fcf8e3; + border-color: #faebcc; +} +.panel-warning > .panel-heading + .panel-collapse > .panel-body { + border-top-color: #faebcc; +} +.panel-warning > .panel-heading .badge { + color: #fcf8e3; + background-color: #8a6d3b; +} +.panel-warning > .panel-footer + .panel-collapse > .panel-body { + border-bottom-color: #faebcc; +} +.panel-danger { + border-color: #ebccd1; +} +.panel-danger > .panel-heading { + color: #a94442; + background-color: #f2dede; + border-color: #ebccd1; +} +.panel-danger > .panel-heading + .panel-collapse > .panel-body { + border-top-color: #ebccd1; +} +.panel-danger > .panel-heading .badge { + color: #f2dede; + background-color: #a94442; +} +.panel-danger > .panel-footer + .panel-collapse > .panel-body { + border-bottom-color: #ebccd1; +} +.embed-responsive { + position: relative; + display: block; + height: 0; + padding: 0; + overflow: hidden; +} +.embed-responsive .embed-responsive-item, +.embed-responsive iframe, +.embed-responsive embed, +.embed-responsive object, +.embed-responsive video { + position: absolute; + top: 0; + bottom: 0; + left: 0; + width: 100%; + height: 100%; + border: 0; +} +.embed-responsive-16by9 { + padding-bottom: 56.25%; +} +.embed-responsive-4by3 { + padding-bottom: 75%; +} +.well { + min-height: 20px; + padding: 19px; + margin-bottom: 20px; + background-color: #f5f5f5; + border: 1px solid #e3e3e3; + border-radius: 4px; + -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05); + box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05); +} +.well blockquote { + border-color: #ddd; + border-color: rgba(0, 0, 0, 0.15); +} +.well-lg { + padding: 24px; + border-radius: 6px; +} +.well-sm { + padding: 9px; + border-radius: 3px; +} +.close { + float: right; + font-size: 21px; + font-weight: bold; + line-height: 1; + color: #000; + text-shadow: 0 1px 0 #fff; + filter: alpha(opacity=20); + opacity: 0.2; +} +.close:hover, +.close:focus { + color: #000; + text-decoration: none; + cursor: pointer; + filter: alpha(opacity=50); + opacity: 0.5; +} +button.close { + padding: 0; + cursor: pointer; + background: transparent; + border: 0; + -webkit-appearance: none; + -moz-appearance: none; + appearance: none; +} +.modal-open { + overflow: hidden; +} +.modal { + position: fixed; + top: 0; + right: 0; + bottom: 0; + left: 0; + z-index: 1050; + display: none; + overflow: hidden; + -webkit-overflow-scrolling: touch; + outline: 0; +} +.modal.fade .modal-dialog { + -webkit-transform: translate(0, -25%); + -ms-transform: translate(0, -25%); + -o-transform: translate(0, -25%); + transform: translate(0, -25%); + -webkit-transition: -webkit-transform 0.3s ease-out; + -o-transition: -o-transform 0.3s ease-out; + transition: -webkit-transform 0.3s ease-out; + transition: transform 0.3s ease-out; + transition: transform 0.3s ease-out, -webkit-transform 0.3s ease-out, -o-transform 0.3s ease-out; +} +.modal.in .modal-dialog { + -webkit-transform: translate(0, 0); + -ms-transform: translate(0, 0); + -o-transform: translate(0, 0); + transform: translate(0, 0); +} +.modal-open .modal { + overflow-x: hidden; + overflow-y: auto; +} +.modal-dialog { + position: relative; + width: auto; + margin: 10px; +} +.modal-content { + position: relative; + background-color: #fff; + background-clip: padding-box; + border: 1px solid #999; + border: 1px solid rgba(0, 0, 0, 0.2); + border-radius: 6px; + -webkit-box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5); + box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5); + outline: 0; +} +.modal-backdrop { + position: fixed; + top: 0; + right: 0; + bottom: 0; + left: 0; + z-index: 1040; + background-color: #000; +} +.modal-backdrop.fade { + filter: alpha(opacity=0); + opacity: 0; +} +.modal-backdrop.in { + filter: alpha(opacity=50); + opacity: 0.5; +} +.modal-header { + padding: 15px; + border-bottom: 1px solid #e5e5e5; +} +.modal-header .close { + margin-top: -2px; +} +.modal-title { + margin: 0; + line-height: 1.42857143; +} +.modal-body { + position: relative; + padding: 15px; +} +.modal-footer { + padding: 15px; + text-align: right; + border-top: 1px solid #e5e5e5; +} +.modal-footer .btn + .btn { + margin-bottom: 0; + margin-left: 5px; +} +.modal-footer .btn-group .btn + .btn { + margin-left: -1px; +} +.modal-footer .btn-block + .btn-block { + margin-left: 0; +} +.modal-scrollbar-measure { + position: absolute; + top: -9999px; + width: 50px; + height: 50px; + overflow: scroll; +} +@media (min-width: 768px) { + .modal-dialog { + width: 600px; + margin: 30px auto; + } + .modal-content { + -webkit-box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5); + box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5); + } + .modal-sm { + width: 300px; + } +} +@media (min-width: 992px) { + .modal-lg { + width: 900px; + } +} +.tooltip { + position: absolute; + z-index: 1070; + display: block; + font-family: "Helvetica Neue", Helvetica, Arial, sans-serif; + font-style: normal; + font-weight: 400; + line-height: 1.42857143; + line-break: auto; + text-align: left; + text-align: start; + text-decoration: none; + text-shadow: none; + text-transform: none; + letter-spacing: normal; + word-break: normal; + word-spacing: normal; + word-wrap: normal; + white-space: normal; + font-size: 12px; + filter: alpha(opacity=0); + opacity: 0; +} +.tooltip.in { + filter: alpha(opacity=90); + opacity: 0.9; +} +.tooltip.top { + padding: 5px 0; + margin-top: -3px; +} +.tooltip.right { + padding: 0 5px; + margin-left: 3px; +} +.tooltip.bottom { + padding: 5px 0; + margin-top: 3px; +} +.tooltip.left { + padding: 0 5px; + margin-left: -3px; +} +.tooltip.top .tooltip-arrow { + bottom: 0; + left: 50%; + margin-left: -5px; + border-width: 5px 5px 0; + border-top-color: #000; +} +.tooltip.top-left .tooltip-arrow { + right: 5px; + bottom: 0; + margin-bottom: -5px; + border-width: 5px 5px 0; + border-top-color: #000; +} +.tooltip.top-right .tooltip-arrow { + bottom: 0; + left: 5px; + margin-bottom: -5px; + border-width: 5px 5px 0; + border-top-color: #000; +} +.tooltip.right .tooltip-arrow { + top: 50%; + left: 0; + margin-top: -5px; + border-width: 5px 5px 5px 0; + border-right-color: #000; +} +.tooltip.left .tooltip-arrow { + top: 50%; + right: 0; + margin-top: -5px; + border-width: 5px 0 5px 5px; + border-left-color: #000; +} +.tooltip.bottom .tooltip-arrow { + top: 0; + left: 50%; + margin-left: -5px; + border-width: 0 5px 5px; + border-bottom-color: #000; +} +.tooltip.bottom-left .tooltip-arrow { + top: 0; + right: 5px; + margin-top: -5px; + border-width: 0 5px 5px; + border-bottom-color: #000; +} +.tooltip.bottom-right .tooltip-arrow { + top: 0; + left: 5px; + margin-top: -5px; + border-width: 0 5px 5px; + border-bottom-color: #000; +} +.tooltip-inner { + max-width: 200px; + padding: 3px 8px; + color: #fff; + text-align: center; + background-color: #000; + border-radius: 4px; +} +.tooltip-arrow { + position: absolute; + width: 0; + height: 0; + border-color: transparent; + border-style: solid; +} +.popover { + position: absolute; + top: 0; + left: 0; + z-index: 1060; + display: none; + max-width: 276px; + padding: 1px; + font-family: "Helvetica Neue", Helvetica, Arial, sans-serif; + font-style: normal; + font-weight: 400; + line-height: 1.42857143; + line-break: auto; + text-align: left; + text-align: start; + text-decoration: none; + text-shadow: none; + text-transform: none; + letter-spacing: normal; + word-break: normal; + word-spacing: normal; + word-wrap: normal; + white-space: normal; + font-size: 14px; + background-color: #fff; + background-clip: padding-box; + border: 1px solid #ccc; + border: 1px solid rgba(0, 0, 0, 0.2); + border-radius: 6px; + -webkit-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2); + box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2); +} +.popover.top { + margin-top: -10px; +} +.popover.right { + margin-left: 10px; +} +.popover.bottom { + margin-top: 10px; +} +.popover.left { + margin-left: -10px; +} +.popover > .arrow { + border-width: 11px; +} +.popover > .arrow, +.popover > .arrow:after { + position: absolute; + display: block; + width: 0; + height: 0; + border-color: transparent; + border-style: solid; +} +.popover > .arrow:after { + content: ""; + border-width: 10px; +} +.popover.top > .arrow { + bottom: -11px; + left: 50%; + margin-left: -11px; + border-top-color: #999999; + border-top-color: rgba(0, 0, 0, 0.25); + border-bottom-width: 0; +} +.popover.top > .arrow:after { + bottom: 1px; + margin-left: -10px; + content: " "; + border-top-color: #fff; + border-bottom-width: 0; +} +.popover.right > .arrow { + top: 50%; + left: -11px; + margin-top: -11px; + border-right-color: #999999; + border-right-color: rgba(0, 0, 0, 0.25); + border-left-width: 0; +} +.popover.right > .arrow:after { + bottom: -10px; + left: 1px; + content: " "; + border-right-color: #fff; + border-left-width: 0; +} +.popover.bottom > .arrow { + top: -11px; + left: 50%; + margin-left: -11px; + border-top-width: 0; + border-bottom-color: #999999; + border-bottom-color: rgba(0, 0, 0, 0.25); +} +.popover.bottom > .arrow:after { + top: 1px; + margin-left: -10px; + content: " "; + border-top-width: 0; + border-bottom-color: #fff; +} +.popover.left > .arrow { + top: 50%; + right: -11px; + margin-top: -11px; + border-right-width: 0; + border-left-color: #999999; + border-left-color: rgba(0, 0, 0, 0.25); +} +.popover.left > .arrow:after { + right: 1px; + bottom: -10px; + content: " "; + border-right-width: 0; + border-left-color: #fff; +} +.popover-title { + padding: 8px 14px; + margin: 0; + font-size: 14px; + background-color: #f7f7f7; + border-bottom: 1px solid #ebebeb; + border-radius: 5px 5px 0 0; +} +.popover-content { + padding: 9px 14px; +} +.carousel { + position: relative; +} +.carousel-inner { + position: relative; + width: 100%; + overflow: hidden; +} +.carousel-inner > .item { + position: relative; + display: none; + -webkit-transition: 0.6s ease-in-out left; + -o-transition: 0.6s ease-in-out left; + transition: 0.6s ease-in-out left; +} +.carousel-inner > .item > img, +.carousel-inner > .item > a > img { + line-height: 1; +} +@media all and (transform-3d), (-webkit-transform-3d) { + .carousel-inner > .item { + -webkit-transition: -webkit-transform 0.6s ease-in-out; + -o-transition: -o-transform 0.6s ease-in-out; + transition: -webkit-transform 0.6s ease-in-out; + transition: transform 0.6s ease-in-out; + transition: transform 0.6s ease-in-out, -webkit-transform 0.6s ease-in-out, -o-transform 0.6s ease-in-out; + -webkit-backface-visibility: hidden; + backface-visibility: hidden; + -webkit-perspective: 1000px; + perspective: 1000px; + } + .carousel-inner > .item.next, + .carousel-inner > .item.active.right { + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + left: 0; + } + .carousel-inner > .item.prev, + .carousel-inner > .item.active.left { + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + left: 0; + } + .carousel-inner > .item.next.left, + .carousel-inner > .item.prev.right, + .carousel-inner > .item.active { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + left: 0; + } +} +.carousel-inner > .active, +.carousel-inner > .next, +.carousel-inner > .prev { + display: block; +} +.carousel-inner > .active { + left: 0; +} +.carousel-inner > .next, +.carousel-inner > .prev { + position: absolute; + top: 0; + width: 100%; +} +.carousel-inner > .next { + left: 100%; +} +.carousel-inner > .prev { + left: -100%; +} +.carousel-inner > .next.left, +.carousel-inner > .prev.right { + left: 0; +} +.carousel-inner > .active.left { + left: -100%; +} +.carousel-inner > .active.right { + left: 100%; +} +.carousel-control { + position: absolute; + top: 0; + bottom: 0; + left: 0; + width: 15%; + font-size: 20px; + color: #fff; + text-align: center; + text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6); + background-color: rgba(0, 0, 0, 0); + filter: alpha(opacity=50); + opacity: 0.5; +} +.carousel-control.left { + background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%); + background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%); + background-image: -webkit-gradient(linear, left top, right top, from(rgba(0, 0, 0, 0.5)), to(rgba(0, 0, 0, 0.0001))); + background-image: linear-gradient(to right, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#80000000', endColorstr='#00000000', GradientType=1); + background-repeat: repeat-x; +} +.carousel-control.right { + right: 0; + left: auto; + background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%); + background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%); + background-image: -webkit-gradient(linear, left top, right top, from(rgba(0, 0, 0, 0.0001)), to(rgba(0, 0, 0, 0.5))); + background-image: linear-gradient(to right, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#00000000', endColorstr='#80000000', GradientType=1); + background-repeat: repeat-x; +} +.carousel-control:hover, +.carousel-control:focus { + color: #fff; + text-decoration: none; + outline: 0; + filter: alpha(opacity=90); + opacity: 0.9; +} +.carousel-control .icon-prev, +.carousel-control .icon-next, +.carousel-control .glyphicon-chevron-left, +.carousel-control .glyphicon-chevron-right { + position: absolute; + top: 50%; + z-index: 5; + display: inline-block; + margin-top: -10px; +} +.carousel-control .icon-prev, +.carousel-control .glyphicon-chevron-left { + left: 50%; + margin-left: -10px; +} +.carousel-control .icon-next, +.carousel-control .glyphicon-chevron-right { + right: 50%; + margin-right: -10px; +} +.carousel-control .icon-prev, +.carousel-control .icon-next { + width: 20px; + height: 20px; + font-family: serif; + line-height: 1; +} +.carousel-control .icon-prev:before { + content: "\2039"; +} +.carousel-control .icon-next:before { + content: "\203a"; +} +.carousel-indicators { + position: absolute; + bottom: 10px; + left: 50%; + z-index: 15; + width: 60%; + padding-left: 0; + margin-left: -30%; + text-align: center; + list-style: none; +} +.carousel-indicators li { + display: inline-block; + width: 10px; + height: 10px; + margin: 1px; + text-indent: -999px; + cursor: pointer; + background-color: #000 \9; + background-color: rgba(0, 0, 0, 0); + border: 1px solid #fff; + border-radius: 10px; +} +.carousel-indicators .active { + width: 12px; + height: 12px; + margin: 0; + background-color: #fff; +} +.carousel-caption { + position: absolute; + right: 15%; + bottom: 20px; + left: 15%; + z-index: 10; + padding-top: 20px; + padding-bottom: 20px; + color: #fff; + text-align: center; + text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6); +} +.carousel-caption .btn { + text-shadow: none; +} +@media screen and (min-width: 768px) { + .carousel-control .glyphicon-chevron-left, + .carousel-control .glyphicon-chevron-right, + .carousel-control .icon-prev, + .carousel-control .icon-next { + width: 30px; + height: 30px; + margin-top: -10px; + font-size: 30px; + } + .carousel-control .glyphicon-chevron-left, + .carousel-control .icon-prev { + margin-left: -10px; + } + .carousel-control .glyphicon-chevron-right, + .carousel-control .icon-next { + margin-right: -10px; + } + .carousel-caption { + right: 20%; + left: 20%; + padding-bottom: 30px; + } + .carousel-indicators { + bottom: 20px; + } +} +.clearfix:before, +.clearfix:after, +.dl-horizontal dd:before, +.dl-horizontal dd:after, +.container:before, +.container:after, +.container-fluid:before, +.container-fluid:after, +.row:before, +.row:after, +.form-horizontal .form-group:before, +.form-horizontal .form-group:after, +.btn-toolbar:before, +.btn-toolbar:after, +.btn-group-vertical > .btn-group:before, +.btn-group-vertical > .btn-group:after, +.nav:before, +.nav:after, +.navbar:before, +.navbar:after, +.navbar-header:before, +.navbar-header:after, +.navbar-collapse:before, +.navbar-collapse:after, +.pager:before, +.pager:after, +.panel-body:before, +.panel-body:after, +.modal-header:before, +.modal-header:after, +.modal-footer:before, +.modal-footer:after { + display: table; + content: " "; +} +.clearfix:after, +.dl-horizontal dd:after, +.container:after, +.container-fluid:after, +.row:after, +.form-horizontal .form-group:after, +.btn-toolbar:after, +.btn-group-vertical > .btn-group:after, +.nav:after, +.navbar:after, +.navbar-header:after, +.navbar-collapse:after, +.pager:after, +.panel-body:after, +.modal-header:after, +.modal-footer:after { + clear: both; +} +.center-block { + display: block; + margin-right: auto; + margin-left: auto; +} +.pull-right { + float: right !important; +} +.pull-left { + float: left !important; +} +.hide { + display: none !important; +} +.show { + display: block !important; +} +.invisible { + visibility: hidden; +} +.text-hide { + font: 0/0 a; + color: transparent; + text-shadow: none; + background-color: transparent; + border: 0; +} +.hidden { + display: none !important; +} +.affix { + position: fixed; +} +@-ms-viewport { + width: device-width; +} +.visible-xs, +.visible-sm, +.visible-md, +.visible-lg { + display: none !important; +} +.visible-xs-block, +.visible-xs-inline, +.visible-xs-inline-block, +.visible-sm-block, +.visible-sm-inline, +.visible-sm-inline-block, +.visible-md-block, +.visible-md-inline, +.visible-md-inline-block, +.visible-lg-block, +.visible-lg-inline, +.visible-lg-inline-block { + display: none !important; +} +@media (max-width: 767px) { + .visible-xs { + display: block !important; + } + table.visible-xs { + display: table !important; + } + tr.visible-xs { + display: table-row !important; + } + th.visible-xs, + td.visible-xs { + display: table-cell !important; + } +} +@media (max-width: 767px) { + .visible-xs-block { + display: block !important; + } +} +@media (max-width: 767px) { + .visible-xs-inline { + display: inline !important; + } +} +@media (max-width: 767px) { + .visible-xs-inline-block { + display: inline-block !important; + } +} +@media (min-width: 768px) and (max-width: 991px) { + .visible-sm { + display: block !important; + } + table.visible-sm { + display: table !important; + } + tr.visible-sm { + display: table-row !important; + } + th.visible-sm, + td.visible-sm { + display: table-cell !important; + } +} +@media (min-width: 768px) and (max-width: 991px) { + .visible-sm-block { + display: block !important; + } +} +@media (min-width: 768px) and (max-width: 991px) { + .visible-sm-inline { + display: inline !important; + } +} +@media (min-width: 768px) and (max-width: 991px) { + .visible-sm-inline-block { + display: inline-block !important; + } +} +@media (min-width: 992px) and (max-width: 1199px) { + .visible-md { + display: block !important; + } + table.visible-md { + display: table !important; + } + tr.visible-md { + display: table-row !important; + } + th.visible-md, + td.visible-md { + display: table-cell !important; + } +} +@media (min-width: 992px) and (max-width: 1199px) { + .visible-md-block { + display: block !important; + } +} +@media (min-width: 992px) and (max-width: 1199px) { + .visible-md-inline { + display: inline !important; + } +} +@media (min-width: 992px) and (max-width: 1199px) { + .visible-md-inline-block { + display: inline-block !important; + } +} +@media (min-width: 1200px) { + .visible-lg { + display: block !important; + } + table.visible-lg { + display: table !important; + } + tr.visible-lg { + display: table-row !important; + } + th.visible-lg, + td.visible-lg { + display: table-cell !important; + } +} +@media (min-width: 1200px) { + .visible-lg-block { + display: block !important; + } +} +@media (min-width: 1200px) { + .visible-lg-inline { + display: inline !important; + } +} +@media (min-width: 1200px) { + .visible-lg-inline-block { + display: inline-block !important; + } +} +@media (max-width: 767px) { + .hidden-xs { + display: none !important; + } +} +@media (min-width: 768px) and (max-width: 991px) { + .hidden-sm { + display: none !important; + } +} +@media (min-width: 992px) and (max-width: 1199px) { + .hidden-md { + display: none !important; + } +} +@media (min-width: 1200px) { + .hidden-lg { + display: none !important; + } +} +.visible-print { + display: none !important; +} +@media print { + .visible-print { + display: block !important; + } + table.visible-print { + display: table !important; + } + tr.visible-print { + display: table-row !important; + } + th.visible-print, + td.visible-print { + display: table-cell !important; + } +} +.visible-print-block { + display: none !important; +} +@media print { + .visible-print-block { + display: block !important; + } +} +.visible-print-inline { + display: none !important; +} +@media print { + .visible-print-inline { + display: inline !important; + } +} +.visible-print-inline-block { + display: none !important; +} +@media print { + .visible-print-inline-block { + display: inline-block !important; + } +} +@media print { + .hidden-print { + display: none !important; + } +} +/*# sourceMappingURL=bootstrap.css.map */ \ No newline at end of file diff --git a/docs/build/html/_static/bootstrap-3.4.1/css/bootstrap.css.map b/docs/build/html/_static/bootstrap-3.4.1/css/bootstrap.css.map new file mode 100644 index 00000000..caac3e61 --- /dev/null +++ b/docs/build/html/_static/bootstrap-3.4.1/css/bootstrap.css.map @@ -0,0 +1 @@ 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0.67em 0;\n}\nmark {\n background: #ff0;\n color: #000;\n}\nsmall {\n font-size: 80%;\n}\nsub,\nsup {\n font-size: 75%;\n line-height: 0;\n position: relative;\n vertical-align: baseline;\n}\nsup {\n top: -0.5em;\n}\nsub {\n bottom: -0.25em;\n}\nimg {\n border: 0;\n}\nsvg:not(:root) {\n overflow: hidden;\n}\nfigure {\n margin: 1em 40px;\n}\nhr {\n box-sizing: content-box;\n height: 0;\n}\npre {\n overflow: auto;\n}\ncode,\nkbd,\npre,\nsamp {\n font-family: monospace, monospace;\n font-size: 1em;\n}\nbutton,\ninput,\noptgroup,\nselect,\ntextarea {\n color: inherit;\n font: inherit;\n margin: 0;\n}\nbutton {\n overflow: visible;\n}\nbutton,\nselect {\n text-transform: none;\n}\nbutton,\nhtml input[type=\"button\"],\ninput[type=\"reset\"],\ninput[type=\"submit\"] {\n -webkit-appearance: button;\n cursor: pointer;\n}\nbutton[disabled],\nhtml input[disabled] {\n cursor: default;\n}\nbutton::-moz-focus-inner,\ninput::-moz-focus-inner {\n border: 0;\n padding: 0;\n}\ninput {\n line-height: normal;\n}\ninput[type=\"checkbox\"],\ninput[type=\"radio\"] {\n box-sizing: border-box;\n padding: 0;\n}\ninput[type=\"number\"]::-webkit-inner-spin-button,\ninput[type=\"number\"]::-webkit-outer-spin-button {\n height: auto;\n}\ninput[type=\"search\"] {\n -webkit-appearance: textfield;\n box-sizing: content-box;\n}\ninput[type=\"search\"]::-webkit-search-cancel-button,\ninput[type=\"search\"]::-webkit-search-decoration {\n -webkit-appearance: none;\n}\nfieldset {\n border: 1px solid #c0c0c0;\n margin: 0 2px;\n padding: 0.35em 0.625em 0.75em;\n}\nlegend {\n border: 0;\n padding: 0;\n}\ntextarea {\n overflow: auto;\n}\noptgroup {\n font-weight: bold;\n}\ntable {\n border-collapse: collapse;\n border-spacing: 0;\n}\ntd,\nth {\n padding: 0;\n}\n/*! Source: https://github.com/h5bp/html5-boilerplate/blob/master/src/css/main.css */\n@media print {\n *,\n *:before,\n *:after {\n color: #000 !important;\n text-shadow: none !important;\n background: transparent !important;\n box-shadow: none !important;\n }\n a,\n a:visited {\n text-decoration: underline;\n }\n a[href]:after {\n content: \" (\" attr(href) \")\";\n }\n abbr[title]:after {\n content: \" (\" attr(title) \")\";\n }\n a[href^=\"#\"]:after,\n a[href^=\"javascript:\"]:after {\n content: \"\";\n }\n pre,\n blockquote {\n border: 1px solid #999;\n page-break-inside: avoid;\n }\n thead {\n display: table-header-group;\n }\n tr,\n img {\n page-break-inside: avoid;\n }\n img {\n max-width: 100% !important;\n }\n p,\n h2,\n h3 {\n orphans: 3;\n widows: 3;\n }\n h2,\n h3 {\n page-break-after: avoid;\n }\n .navbar {\n display: none;\n }\n .btn > .caret,\n .dropup > .btn > .caret {\n border-top-color: #000 !important;\n }\n .label {\n border: 1px solid #000;\n }\n .table {\n border-collapse: collapse !important;\n }\n .table td,\n .table th {\n background-color: #fff !important;\n }\n .table-bordered th,\n .table-bordered td {\n border: 1px solid #ddd !important;\n }\n}\n@font-face {\n font-family: \"Glyphicons Halflings\";\n src: url(\"../fonts/glyphicons-halflings-regular.eot\");\n src: url(\"../fonts/glyphicons-halflings-regular.eot?#iefix\") format(\"embedded-opentype\"), url(\"../fonts/glyphicons-halflings-regular.woff2\") format(\"woff2\"), url(\"../fonts/glyphicons-halflings-regular.woff\") format(\"woff\"), url(\"../fonts/glyphicons-halflings-regular.ttf\") format(\"truetype\"), url(\"../fonts/glyphicons-halflings-regular.svg#glyphicons_halflingsregular\") format(\"svg\");\n}\n.glyphicon {\n position: relative;\n top: 1px;\n display: inline-block;\n font-family: \"Glyphicons Halflings\";\n font-style: normal;\n font-weight: 400;\n line-height: 1;\n -webkit-font-smoothing: antialiased;\n -moz-osx-font-smoothing: grayscale;\n}\n.glyphicon-asterisk:before {\n content: \"\\002a\";\n}\n.glyphicon-plus:before {\n content: \"\\002b\";\n}\n.glyphicon-euro:before,\n.glyphicon-eur:before {\n content: \"\\20ac\";\n}\n.glyphicon-minus:before {\n content: \"\\2212\";\n}\n.glyphicon-cloud:before {\n content: \"\\2601\";\n}\n.glyphicon-envelope:before {\n content: \"\\2709\";\n}\n.glyphicon-pencil:before {\n content: \"\\270f\";\n}\n.glyphicon-glass:before {\n content: \"\\e001\";\n}\n.glyphicon-music:before {\n content: \"\\e002\";\n}\n.glyphicon-search:before {\n content: \"\\e003\";\n}\n.glyphicon-heart:before {\n content: \"\\e005\";\n}\n.glyphicon-star:before {\n content: \"\\e006\";\n}\n.glyphicon-star-empty:before {\n content: \"\\e007\";\n}\n.glyphicon-user:before {\n content: \"\\e008\";\n}\n.glyphicon-film:before {\n content: \"\\e009\";\n}\n.glyphicon-th-large:before {\n content: \"\\e010\";\n}\n.glyphicon-th:before {\n content: \"\\e011\";\n}\n.glyphicon-th-list:before {\n content: \"\\e012\";\n}\n.glyphicon-ok:before {\n content: \"\\e013\";\n}\n.glyphicon-remove:before {\n content: \"\\e014\";\n}\n.glyphicon-zoom-in:before {\n content: \"\\e015\";\n}\n.glyphicon-zoom-out:before {\n content: \"\\e016\";\n}\n.glyphicon-off:before {\n content: \"\\e017\";\n}\n.glyphicon-signal:before {\n content: \"\\e018\";\n}\n.glyphicon-cog:before {\n content: \"\\e019\";\n}\n.glyphicon-trash:before {\n content: \"\\e020\";\n}\n.glyphicon-home:before {\n content: \"\\e021\";\n}\n.glyphicon-file:before {\n content: \"\\e022\";\n}\n.glyphicon-time:before {\n content: \"\\e023\";\n}\n.glyphicon-road:before {\n content: \"\\e024\";\n}\n.glyphicon-download-alt:before {\n content: \"\\e025\";\n}\n.glyphicon-download:before {\n content: \"\\e026\";\n}\n.glyphicon-upload:before {\n content: \"\\e027\";\n}\n.glyphicon-inbox:before {\n content: \"\\e028\";\n}\n.glyphicon-play-circle:before {\n content: \"\\e029\";\n}\n.glyphicon-repeat:before {\n content: \"\\e030\";\n}\n.glyphicon-refresh:before {\n content: \"\\e031\";\n}\n.glyphicon-list-alt:before {\n content: \"\\e032\";\n}\n.glyphicon-lock:before {\n content: \"\\e033\";\n}\n.glyphicon-flag:before {\n content: \"\\e034\";\n}\n.glyphicon-headphones:before {\n content: \"\\e035\";\n}\n.glyphicon-volume-off:before {\n content: \"\\e036\";\n}\n.glyphicon-volume-down:before {\n content: \"\\e037\";\n}\n.glyphicon-volume-up:before {\n content: \"\\e038\";\n}\n.glyphicon-qrcode:before {\n content: \"\\e039\";\n}\n.glyphicon-barcode:before {\n content: \"\\e040\";\n}\n.glyphicon-tag:before {\n content: \"\\e041\";\n}\n.glyphicon-tags:before {\n content: \"\\e042\";\n}\n.glyphicon-book:before {\n content: \"\\e043\";\n}\n.glyphicon-bookmark:before {\n content: \"\\e044\";\n}\n.glyphicon-print:before {\n content: \"\\e045\";\n}\n.glyphicon-camera:before {\n content: \"\\e046\";\n}\n.glyphicon-font:before {\n content: \"\\e047\";\n}\n.glyphicon-bold:before {\n content: \"\\e048\";\n}\n.glyphicon-italic:before {\n content: \"\\e049\";\n}\n.glyphicon-text-height:before {\n content: \"\\e050\";\n}\n.glyphicon-text-width:before {\n content: \"\\e051\";\n}\n.glyphicon-align-left:before {\n content: \"\\e052\";\n}\n.glyphicon-align-center:before {\n content: \"\\e053\";\n}\n.glyphicon-align-right:before {\n content: \"\\e054\";\n}\n.glyphicon-align-justify:before {\n content: \"\\e055\";\n}\n.glyphicon-list:before {\n content: \"\\e056\";\n}\n.glyphicon-indent-left:before {\n content: \"\\e057\";\n}\n.glyphicon-indent-right:before {\n content: \"\\e058\";\n}\n.glyphicon-facetime-video:before {\n content: \"\\e059\";\n}\n.glyphicon-picture:before {\n content: \"\\e060\";\n}\n.glyphicon-map-marker:before {\n content: \"\\e062\";\n}\n.glyphicon-adjust:before {\n content: \"\\e063\";\n}\n.glyphicon-tint:before {\n content: \"\\e064\";\n}\n.glyphicon-edit:before {\n content: \"\\e065\";\n}\n.glyphicon-share:before {\n content: \"\\e066\";\n}\n.glyphicon-check:before {\n content: \"\\e067\";\n}\n.glyphicon-move:before {\n content: \"\\e068\";\n}\n.glyphicon-step-backward:before {\n content: \"\\e069\";\n}\n.glyphicon-fast-backward:before {\n content: \"\\e070\";\n}\n.glyphicon-backward:before {\n content: \"\\e071\";\n}\n.glyphicon-play:before {\n content: \"\\e072\";\n}\n.glyphicon-pause:before {\n content: \"\\e073\";\n}\n.glyphicon-stop:before {\n content: \"\\e074\";\n}\n.glyphicon-forward:before {\n content: \"\\e075\";\n}\n.glyphicon-fast-forward:before {\n content: \"\\e076\";\n}\n.glyphicon-step-forward:before {\n content: \"\\e077\";\n}\n.glyphicon-eject:before {\n content: \"\\e078\";\n}\n.glyphicon-chevron-left:before {\n content: \"\\e079\";\n}\n.glyphicon-chevron-right:before {\n content: \"\\e080\";\n}\n.glyphicon-plus-sign:before {\n content: \"\\e081\";\n}\n.glyphicon-minus-sign:before {\n content: \"\\e082\";\n}\n.glyphicon-remove-sign:before {\n content: \"\\e083\";\n}\n.glyphicon-ok-sign:before {\n content: \"\\e084\";\n}\n.glyphicon-question-sign:before {\n content: \"\\e085\";\n}\n.glyphicon-info-sign:before {\n content: \"\\e086\";\n}\n.glyphicon-screenshot:before {\n content: \"\\e087\";\n}\n.glyphicon-remove-circle:before {\n content: \"\\e088\";\n}\n.glyphicon-ok-circle:before {\n content: \"\\e089\";\n}\n.glyphicon-ban-circle:before {\n content: \"\\e090\";\n}\n.glyphicon-arrow-left:before {\n content: \"\\e091\";\n}\n.glyphicon-arrow-right:before {\n content: \"\\e092\";\n}\n.glyphicon-arrow-up:before {\n content: \"\\e093\";\n}\n.glyphicon-arrow-down:before {\n content: \"\\e094\";\n}\n.glyphicon-share-alt:before {\n content: \"\\e095\";\n}\n.glyphicon-resize-full:before {\n content: \"\\e096\";\n}\n.glyphicon-resize-small:before {\n content: \"\\e097\";\n}\n.glyphicon-exclamation-sign:before {\n content: \"\\e101\";\n}\n.glyphicon-gift:before {\n content: \"\\e102\";\n}\n.glyphicon-leaf:before {\n content: \"\\e103\";\n}\n.glyphicon-fire:before {\n content: \"\\e104\";\n}\n.glyphicon-eye-open:before {\n content: \"\\e105\";\n}\n.glyphicon-eye-close:before {\n content: \"\\e106\";\n}\n.glyphicon-warning-sign:before {\n content: \"\\e107\";\n}\n.glyphicon-plane:before {\n content: \"\\e108\";\n}\n.glyphicon-calendar:before {\n content: \"\\e109\";\n}\n.glyphicon-random:before {\n content: \"\\e110\";\n}\n.glyphicon-comment:before {\n content: \"\\e111\";\n}\n.glyphicon-magnet:before {\n content: \"\\e112\";\n}\n.glyphicon-chevron-up:before {\n content: \"\\e113\";\n}\n.glyphicon-chevron-down:before {\n content: \"\\e114\";\n}\n.glyphicon-retweet:before {\n content: \"\\e115\";\n}\n.glyphicon-shopping-cart:before {\n content: \"\\e116\";\n}\n.glyphicon-folder-close:before {\n content: \"\\e117\";\n}\n.glyphicon-folder-open:before {\n content: \"\\e118\";\n}\n.glyphicon-resize-vertical:before {\n content: \"\\e119\";\n}\n.glyphicon-resize-horizontal:before {\n content: \"\\e120\";\n}\n.glyphicon-hdd:before {\n content: \"\\e121\";\n}\n.glyphicon-bullhorn:before {\n content: \"\\e122\";\n}\n.glyphicon-bell:before {\n content: \"\\e123\";\n}\n.glyphicon-certificate:before {\n content: \"\\e124\";\n}\n.glyphicon-thumbs-up:before {\n content: \"\\e125\";\n}\n.glyphicon-thumbs-down:before {\n content: \"\\e126\";\n}\n.glyphicon-hand-right:before {\n content: \"\\e127\";\n}\n.glyphicon-hand-left:before {\n content: \"\\e128\";\n}\n.glyphicon-hand-up:before {\n content: \"\\e129\";\n}\n.glyphicon-hand-down:before {\n content: \"\\e130\";\n}\n.glyphicon-circle-arrow-right:before {\n content: \"\\e131\";\n}\n.glyphicon-circle-arrow-left:before {\n content: \"\\e132\";\n}\n.glyphicon-circle-arrow-up:before {\n content: \"\\e133\";\n}\n.glyphicon-circle-arrow-down:before {\n content: \"\\e134\";\n}\n.glyphicon-globe:before {\n content: \"\\e135\";\n}\n.glyphicon-wrench:before {\n content: \"\\e136\";\n}\n.glyphicon-tasks:before {\n content: \"\\e137\";\n}\n.glyphicon-filter:before {\n content: \"\\e138\";\n}\n.glyphicon-briefcase:before {\n content: \"\\e139\";\n}\n.glyphicon-fullscreen:before {\n content: \"\\e140\";\n}\n.glyphicon-dashboard:before {\n content: \"\\e141\";\n}\n.glyphicon-paperclip:before {\n content: \"\\e142\";\n}\n.glyphicon-heart-empty:before {\n content: \"\\e143\";\n}\n.glyphicon-link:before {\n content: \"\\e144\";\n}\n.glyphicon-phone:before {\n content: \"\\e145\";\n}\n.glyphicon-pushpin:before {\n content: \"\\e146\";\n}\n.glyphicon-usd:before {\n content: \"\\e148\";\n}\n.glyphicon-gbp:before {\n content: \"\\e149\";\n}\n.glyphicon-sort:before {\n content: \"\\e150\";\n}\n.glyphicon-sort-by-alphabet:before {\n content: \"\\e151\";\n}\n.glyphicon-sort-by-alphabet-alt:before {\n content: \"\\e152\";\n}\n.glyphicon-sort-by-order:before {\n content: \"\\e153\";\n}\n.glyphicon-sort-by-order-alt:before {\n content: \"\\e154\";\n}\n.glyphicon-sort-by-attributes:before {\n content: \"\\e155\";\n}\n.glyphicon-sort-by-attributes-alt:before {\n content: \"\\e156\";\n}\n.glyphicon-unchecked:before {\n content: \"\\e157\";\n}\n.glyphicon-expand:before {\n content: \"\\e158\";\n}\n.glyphicon-collapse-down:before {\n content: \"\\e159\";\n}\n.glyphicon-collapse-up:before {\n content: \"\\e160\";\n}\n.glyphicon-log-in:before {\n content: \"\\e161\";\n}\n.glyphicon-flash:before {\n content: \"\\e162\";\n}\n.glyphicon-log-out:before {\n content: \"\\e163\";\n}\n.glyphicon-new-window:before {\n content: \"\\e164\";\n}\n.glyphicon-record:before {\n content: \"\\e165\";\n}\n.glyphicon-save:before {\n content: \"\\e166\";\n}\n.glyphicon-open:before {\n content: \"\\e167\";\n}\n.glyphicon-saved:before {\n content: \"\\e168\";\n}\n.glyphicon-import:before {\n content: \"\\e169\";\n}\n.glyphicon-export:before {\n content: \"\\e170\";\n}\n.glyphicon-send:before {\n content: \"\\e171\";\n}\n.glyphicon-floppy-disk:before {\n content: \"\\e172\";\n}\n.glyphicon-floppy-saved:before {\n content: \"\\e173\";\n}\n.glyphicon-floppy-remove:before {\n content: \"\\e174\";\n}\n.glyphicon-floppy-save:before {\n content: \"\\e175\";\n}\n.glyphicon-floppy-open:before {\n content: \"\\e176\";\n}\n.glyphicon-credit-card:before {\n content: \"\\e177\";\n}\n.glyphicon-transfer:before {\n content: \"\\e178\";\n}\n.glyphicon-cutlery:before {\n content: \"\\e179\";\n}\n.glyphicon-header:before {\n content: \"\\e180\";\n}\n.glyphicon-compressed:before {\n content: \"\\e181\";\n}\n.glyphicon-earphone:before {\n content: \"\\e182\";\n}\n.glyphicon-phone-alt:before {\n content: \"\\e183\";\n}\n.glyphicon-tower:before {\n content: \"\\e184\";\n}\n.glyphicon-stats:before {\n content: \"\\e185\";\n}\n.glyphicon-sd-video:before {\n content: \"\\e186\";\n}\n.glyphicon-hd-video:before {\n content: \"\\e187\";\n}\n.glyphicon-subtitles:before {\n content: \"\\e188\";\n}\n.glyphicon-sound-stereo:before {\n content: \"\\e189\";\n}\n.glyphicon-sound-dolby:before {\n content: \"\\e190\";\n}\n.glyphicon-sound-5-1:before {\n content: \"\\e191\";\n}\n.glyphicon-sound-6-1:before {\n content: \"\\e192\";\n}\n.glyphicon-sound-7-1:before {\n content: \"\\e193\";\n}\n.glyphicon-copyright-mark:before {\n content: \"\\e194\";\n}\n.glyphicon-registration-mark:before {\n content: \"\\e195\";\n}\n.glyphicon-cloud-download:before {\n content: \"\\e197\";\n}\n.glyphicon-cloud-upload:before {\n content: \"\\e198\";\n}\n.glyphicon-tree-conifer:before {\n content: \"\\e199\";\n}\n.glyphicon-tree-deciduous:before {\n content: \"\\e200\";\n}\n.glyphicon-cd:before {\n content: \"\\e201\";\n}\n.glyphicon-save-file:before {\n content: \"\\e202\";\n}\n.glyphicon-open-file:before {\n content: \"\\e203\";\n}\n.glyphicon-level-up:before {\n content: \"\\e204\";\n}\n.glyphicon-copy:before {\n content: \"\\e205\";\n}\n.glyphicon-paste:before {\n content: \"\\e206\";\n}\n.glyphicon-alert:before {\n content: \"\\e209\";\n}\n.glyphicon-equalizer:before {\n content: \"\\e210\";\n}\n.glyphicon-king:before {\n content: \"\\e211\";\n}\n.glyphicon-queen:before {\n content: \"\\e212\";\n}\n.glyphicon-pawn:before {\n content: \"\\e213\";\n}\n.glyphicon-bishop:before {\n content: \"\\e214\";\n}\n.glyphicon-knight:before {\n content: \"\\e215\";\n}\n.glyphicon-baby-formula:before {\n content: \"\\e216\";\n}\n.glyphicon-tent:before {\n content: \"\\26fa\";\n}\n.glyphicon-blackboard:before {\n content: \"\\e218\";\n}\n.glyphicon-bed:before {\n content: \"\\e219\";\n}\n.glyphicon-apple:before {\n content: \"\\f8ff\";\n}\n.glyphicon-erase:before {\n content: \"\\e221\";\n}\n.glyphicon-hourglass:before {\n content: \"\\231b\";\n}\n.glyphicon-lamp:before {\n content: \"\\e223\";\n}\n.glyphicon-duplicate:before {\n content: \"\\e224\";\n}\n.glyphicon-piggy-bank:before {\n content: \"\\e225\";\n}\n.glyphicon-scissors:before {\n content: \"\\e226\";\n}\n.glyphicon-bitcoin:before {\n content: \"\\e227\";\n}\n.glyphicon-btc:before {\n content: \"\\e227\";\n}\n.glyphicon-xbt:before {\n content: \"\\e227\";\n}\n.glyphicon-yen:before {\n content: \"\\00a5\";\n}\n.glyphicon-jpy:before {\n content: \"\\00a5\";\n}\n.glyphicon-ruble:before {\n content: \"\\20bd\";\n}\n.glyphicon-rub:before {\n content: \"\\20bd\";\n}\n.glyphicon-scale:before {\n content: \"\\e230\";\n}\n.glyphicon-ice-lolly:before {\n content: \"\\e231\";\n}\n.glyphicon-ice-lolly-tasted:before {\n content: \"\\e232\";\n}\n.glyphicon-education:before {\n content: \"\\e233\";\n}\n.glyphicon-option-horizontal:before {\n content: \"\\e234\";\n}\n.glyphicon-option-vertical:before {\n content: \"\\e235\";\n}\n.glyphicon-menu-hamburger:before {\n content: \"\\e236\";\n}\n.glyphicon-modal-window:before {\n content: \"\\e237\";\n}\n.glyphicon-oil:before {\n content: \"\\e238\";\n}\n.glyphicon-grain:before {\n content: \"\\e239\";\n}\n.glyphicon-sunglasses:before {\n content: \"\\e240\";\n}\n.glyphicon-text-size:before {\n content: \"\\e241\";\n}\n.glyphicon-text-color:before {\n content: \"\\e242\";\n}\n.glyphicon-text-background:before {\n content: \"\\e243\";\n}\n.glyphicon-object-align-top:before {\n content: \"\\e244\";\n}\n.glyphicon-object-align-bottom:before {\n content: \"\\e245\";\n}\n.glyphicon-object-align-horizontal:before {\n content: \"\\e246\";\n}\n.glyphicon-object-align-left:before {\n content: \"\\e247\";\n}\n.glyphicon-object-align-vertical:before {\n content: \"\\e248\";\n}\n.glyphicon-object-align-right:before {\n content: \"\\e249\";\n}\n.glyphicon-triangle-right:before {\n content: \"\\e250\";\n}\n.glyphicon-triangle-left:before {\n content: \"\\e251\";\n}\n.glyphicon-triangle-bottom:before {\n content: \"\\e252\";\n}\n.glyphicon-triangle-top:before {\n content: \"\\e253\";\n}\n.glyphicon-console:before {\n content: \"\\e254\";\n}\n.glyphicon-superscript:before {\n content: \"\\e255\";\n}\n.glyphicon-subscript:before {\n content: \"\\e256\";\n}\n.glyphicon-menu-left:before {\n content: \"\\e257\";\n}\n.glyphicon-menu-right:before {\n content: \"\\e258\";\n}\n.glyphicon-menu-down:before {\n content: \"\\e259\";\n}\n.glyphicon-menu-up:before {\n content: \"\\e260\";\n}\n* {\n -webkit-box-sizing: border-box;\n -moz-box-sizing: border-box;\n box-sizing: border-box;\n}\n*:before,\n*:after {\n -webkit-box-sizing: border-box;\n -moz-box-sizing: border-box;\n box-sizing: border-box;\n}\nhtml {\n font-size: 10px;\n -webkit-tap-highlight-color: rgba(0, 0, 0, 0);\n}\nbody {\n font-family: \"Helvetica Neue\", Helvetica, Arial, sans-serif;\n font-size: 14px;\n line-height: 1.42857143;\n color: #333333;\n background-color: #fff;\n}\ninput,\nbutton,\nselect,\ntextarea {\n font-family: inherit;\n font-size: inherit;\n line-height: inherit;\n}\na {\n color: #337ab7;\n text-decoration: none;\n}\na:hover,\na:focus {\n color: #23527c;\n text-decoration: underline;\n}\na:focus {\n outline: 5px auto -webkit-focus-ring-color;\n outline-offset: -2px;\n}\nfigure {\n margin: 0;\n}\nimg {\n vertical-align: middle;\n}\n.img-responsive,\n.thumbnail > img,\n.thumbnail a > img,\n.carousel-inner > .item > img,\n.carousel-inner > .item > a > img {\n display: block;\n max-width: 100%;\n height: auto;\n}\n.img-rounded {\n border-radius: 6px;\n}\n.img-thumbnail {\n padding: 4px;\n line-height: 1.42857143;\n background-color: #fff;\n border: 1px solid #ddd;\n border-radius: 4px;\n -webkit-transition: all 0.2s ease-in-out;\n -o-transition: all 0.2s ease-in-out;\n transition: all 0.2s ease-in-out;\n display: inline-block;\n max-width: 100%;\n height: auto;\n}\n.img-circle {\n border-radius: 50%;\n}\nhr {\n margin-top: 20px;\n margin-bottom: 20px;\n border: 0;\n border-top: 1px solid #eeeeee;\n}\n.sr-only {\n position: absolute;\n width: 1px;\n height: 1px;\n padding: 0;\n margin: -1px;\n overflow: hidden;\n clip: rect(0, 0, 0, 0);\n border: 0;\n}\n.sr-only-focusable:active,\n.sr-only-focusable:focus {\n position: static;\n width: auto;\n height: auto;\n margin: 0;\n overflow: visible;\n clip: auto;\n}\n[role=\"button\"] {\n cursor: pointer;\n}\nh1,\nh2,\nh3,\nh4,\nh5,\nh6,\n.h1,\n.h2,\n.h3,\n.h4,\n.h5,\n.h6 {\n font-family: inherit;\n font-weight: 500;\n line-height: 1.1;\n color: inherit;\n}\nh1 small,\nh2 small,\nh3 small,\nh4 small,\nh5 small,\nh6 small,\n.h1 small,\n.h2 small,\n.h3 small,\n.h4 small,\n.h5 small,\n.h6 small,\nh1 .small,\nh2 .small,\nh3 .small,\nh4 .small,\nh5 .small,\nh6 .small,\n.h1 .small,\n.h2 .small,\n.h3 .small,\n.h4 .small,\n.h5 .small,\n.h6 .small {\n font-weight: 400;\n line-height: 1;\n color: #777777;\n}\nh1,\n.h1,\nh2,\n.h2,\nh3,\n.h3 {\n margin-top: 20px;\n margin-bottom: 10px;\n}\nh1 small,\n.h1 small,\nh2 small,\n.h2 small,\nh3 small,\n.h3 small,\nh1 .small,\n.h1 .small,\nh2 .small,\n.h2 .small,\nh3 .small,\n.h3 .small {\n font-size: 65%;\n}\nh4,\n.h4,\nh5,\n.h5,\nh6,\n.h6 {\n margin-top: 10px;\n margin-bottom: 10px;\n}\nh4 small,\n.h4 small,\nh5 small,\n.h5 small,\nh6 small,\n.h6 small,\nh4 .small,\n.h4 .small,\nh5 .small,\n.h5 .small,\nh6 .small,\n.h6 .small {\n font-size: 75%;\n}\nh1,\n.h1 {\n font-size: 36px;\n}\nh2,\n.h2 {\n font-size: 30px;\n}\nh3,\n.h3 {\n font-size: 24px;\n}\nh4,\n.h4 {\n font-size: 18px;\n}\nh5,\n.h5 {\n font-size: 14px;\n}\nh6,\n.h6 {\n font-size: 12px;\n}\np {\n margin: 0 0 10px;\n}\n.lead {\n margin-bottom: 20px;\n font-size: 16px;\n font-weight: 300;\n line-height: 1.4;\n}\n@media (min-width: 768px) {\n .lead {\n font-size: 21px;\n }\n}\nsmall,\n.small {\n font-size: 85%;\n}\nmark,\n.mark {\n padding: 0.2em;\n background-color: #fcf8e3;\n}\n.text-left {\n text-align: left;\n}\n.text-right {\n text-align: right;\n}\n.text-center {\n text-align: center;\n}\n.text-justify {\n text-align: justify;\n}\n.text-nowrap {\n white-space: nowrap;\n}\n.text-lowercase {\n text-transform: lowercase;\n}\n.text-uppercase {\n text-transform: uppercase;\n}\n.text-capitalize {\n text-transform: capitalize;\n}\n.text-muted {\n color: #777777;\n}\n.text-primary {\n color: #337ab7;\n}\na.text-primary:hover,\na.text-primary:focus {\n color: #286090;\n}\n.text-success {\n color: #3c763d;\n}\na.text-success:hover,\na.text-success:focus {\n color: #2b542c;\n}\n.text-info {\n color: #31708f;\n}\na.text-info:hover,\na.text-info:focus {\n color: #245269;\n}\n.text-warning {\n color: #8a6d3b;\n}\na.text-warning:hover,\na.text-warning:focus {\n color: #66512c;\n}\n.text-danger {\n color: #a94442;\n}\na.text-danger:hover,\na.text-danger:focus {\n color: #843534;\n}\n.bg-primary {\n color: #fff;\n background-color: #337ab7;\n}\na.bg-primary:hover,\na.bg-primary:focus {\n background-color: #286090;\n}\n.bg-success {\n background-color: #dff0d8;\n}\na.bg-success:hover,\na.bg-success:focus {\n background-color: #c1e2b3;\n}\n.bg-info {\n background-color: #d9edf7;\n}\na.bg-info:hover,\na.bg-info:focus {\n background-color: #afd9ee;\n}\n.bg-warning {\n background-color: #fcf8e3;\n}\na.bg-warning:hover,\na.bg-warning:focus {\n background-color: #f7ecb5;\n}\n.bg-danger {\n background-color: #f2dede;\n}\na.bg-danger:hover,\na.bg-danger:focus {\n background-color: #e4b9b9;\n}\n.page-header {\n padding-bottom: 9px;\n margin: 40px 0 20px;\n border-bottom: 1px solid #eeeeee;\n}\nul,\nol {\n margin-top: 0;\n margin-bottom: 10px;\n}\nul ul,\nol ul,\nul ol,\nol ol {\n margin-bottom: 0;\n}\n.list-unstyled {\n padding-left: 0;\n list-style: none;\n}\n.list-inline {\n padding-left: 0;\n list-style: none;\n margin-left: -5px;\n}\n.list-inline > li {\n display: inline-block;\n padding-right: 5px;\n padding-left: 5px;\n}\ndl {\n margin-top: 0;\n margin-bottom: 20px;\n}\ndt,\ndd {\n line-height: 1.42857143;\n}\ndt {\n font-weight: 700;\n}\ndd {\n margin-left: 0;\n}\n@media (min-width: 768px) {\n .dl-horizontal dt {\n float: left;\n width: 160px;\n clear: left;\n text-align: right;\n overflow: hidden;\n text-overflow: ellipsis;\n white-space: nowrap;\n }\n .dl-horizontal dd {\n margin-left: 180px;\n }\n}\nabbr[title],\nabbr[data-original-title] {\n cursor: help;\n}\n.initialism {\n font-size: 90%;\n text-transform: uppercase;\n}\nblockquote {\n padding: 10px 20px;\n margin: 0 0 20px;\n font-size: 17.5px;\n border-left: 5px solid #eeeeee;\n}\nblockquote p:last-child,\nblockquote ul:last-child,\nblockquote ol:last-child {\n margin-bottom: 0;\n}\nblockquote footer,\nblockquote small,\nblockquote .small {\n display: block;\n font-size: 80%;\n line-height: 1.42857143;\n color: #777777;\n}\nblockquote footer:before,\nblockquote small:before,\nblockquote .small:before {\n content: \"\\2014 \\00A0\";\n}\n.blockquote-reverse,\nblockquote.pull-right {\n padding-right: 15px;\n padding-left: 0;\n text-align: right;\n border-right: 5px solid #eeeeee;\n border-left: 0;\n}\n.blockquote-reverse footer:before,\nblockquote.pull-right footer:before,\n.blockquote-reverse small:before,\nblockquote.pull-right small:before,\n.blockquote-reverse .small:before,\nblockquote.pull-right .small:before {\n content: \"\";\n}\n.blockquote-reverse footer:after,\nblockquote.pull-right footer:after,\n.blockquote-reverse small:after,\nblockquote.pull-right small:after,\n.blockquote-reverse .small:after,\nblockquote.pull-right .small:after {\n content: \"\\00A0 \\2014\";\n}\naddress {\n margin-bottom: 20px;\n font-style: normal;\n line-height: 1.42857143;\n}\ncode,\nkbd,\npre,\nsamp {\n font-family: Menlo, Monaco, Consolas, \"Courier New\", monospace;\n}\ncode {\n padding: 2px 4px;\n font-size: 90%;\n color: #c7254e;\n background-color: #f9f2f4;\n border-radius: 4px;\n}\nkbd {\n padding: 2px 4px;\n font-size: 90%;\n color: #fff;\n background-color: #333;\n border-radius: 3px;\n box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);\n}\nkbd kbd {\n padding: 0;\n font-size: 100%;\n font-weight: 700;\n box-shadow: none;\n}\npre {\n display: block;\n padding: 9.5px;\n margin: 0 0 10px;\n font-size: 13px;\n line-height: 1.42857143;\n color: #333333;\n word-break: break-all;\n word-wrap: break-word;\n background-color: #f5f5f5;\n border: 1px solid #ccc;\n border-radius: 4px;\n}\npre code {\n padding: 0;\n font-size: inherit;\n color: inherit;\n white-space: pre-wrap;\n background-color: transparent;\n border-radius: 0;\n}\n.pre-scrollable {\n max-height: 340px;\n overflow-y: scroll;\n}\n.container {\n padding-right: 15px;\n padding-left: 15px;\n margin-right: auto;\n margin-left: auto;\n}\n@media (min-width: 768px) {\n .container {\n width: 750px;\n }\n}\n@media (min-width: 992px) {\n .container {\n width: 970px;\n }\n}\n@media (min-width: 1200px) {\n .container {\n width: 1170px;\n }\n}\n.container-fluid {\n padding-right: 15px;\n padding-left: 15px;\n margin-right: auto;\n margin-left: auto;\n}\n.row {\n margin-right: -15px;\n margin-left: -15px;\n}\n.row-no-gutters {\n margin-right: 0;\n margin-left: 0;\n}\n.row-no-gutters [class*=\"col-\"] {\n padding-right: 0;\n padding-left: 0;\n}\n.col-xs-1,\n.col-sm-1,\n.col-md-1,\n.col-lg-1,\n.col-xs-2,\n.col-sm-2,\n.col-md-2,\n.col-lg-2,\n.col-xs-3,\n.col-sm-3,\n.col-md-3,\n.col-lg-3,\n.col-xs-4,\n.col-sm-4,\n.col-md-4,\n.col-lg-4,\n.col-xs-5,\n.col-sm-5,\n.col-md-5,\n.col-lg-5,\n.col-xs-6,\n.col-sm-6,\n.col-md-6,\n.col-lg-6,\n.col-xs-7,\n.col-sm-7,\n.col-md-7,\n.col-lg-7,\n.col-xs-8,\n.col-sm-8,\n.col-md-8,\n.col-lg-8,\n.col-xs-9,\n.col-sm-9,\n.col-md-9,\n.col-lg-9,\n.col-xs-10,\n.col-sm-10,\n.col-md-10,\n.col-lg-10,\n.col-xs-11,\n.col-sm-11,\n.col-md-11,\n.col-lg-11,\n.col-xs-12,\n.col-sm-12,\n.col-md-12,\n.col-lg-12 {\n position: relative;\n min-height: 1px;\n padding-right: 15px;\n padding-left: 15px;\n}\n.col-xs-1,\n.col-xs-2,\n.col-xs-3,\n.col-xs-4,\n.col-xs-5,\n.col-xs-6,\n.col-xs-7,\n.col-xs-8,\n.col-xs-9,\n.col-xs-10,\n.col-xs-11,\n.col-xs-12 {\n float: left;\n}\n.col-xs-12 {\n width: 100%;\n}\n.col-xs-11 {\n width: 91.66666667%;\n}\n.col-xs-10 {\n width: 83.33333333%;\n}\n.col-xs-9 {\n width: 75%;\n}\n.col-xs-8 {\n width: 66.66666667%;\n}\n.col-xs-7 {\n width: 58.33333333%;\n}\n.col-xs-6 {\n width: 50%;\n}\n.col-xs-5 {\n width: 41.66666667%;\n}\n.col-xs-4 {\n width: 33.33333333%;\n}\n.col-xs-3 {\n width: 25%;\n}\n.col-xs-2 {\n width: 16.66666667%;\n}\n.col-xs-1 {\n width: 8.33333333%;\n}\n.col-xs-pull-12 {\n right: 100%;\n}\n.col-xs-pull-11 {\n right: 91.66666667%;\n}\n.col-xs-pull-10 {\n right: 83.33333333%;\n}\n.col-xs-pull-9 {\n right: 75%;\n}\n.col-xs-pull-8 {\n right: 66.66666667%;\n}\n.col-xs-pull-7 {\n right: 58.33333333%;\n}\n.col-xs-pull-6 {\n right: 50%;\n}\n.col-xs-pull-5 {\n right: 41.66666667%;\n}\n.col-xs-pull-4 {\n right: 33.33333333%;\n}\n.col-xs-pull-3 {\n right: 25%;\n}\n.col-xs-pull-2 {\n right: 16.66666667%;\n}\n.col-xs-pull-1 {\n right: 8.33333333%;\n}\n.col-xs-pull-0 {\n right: auto;\n}\n.col-xs-push-12 {\n left: 100%;\n}\n.col-xs-push-11 {\n left: 91.66666667%;\n}\n.col-xs-push-10 {\n left: 83.33333333%;\n}\n.col-xs-push-9 {\n left: 75%;\n}\n.col-xs-push-8 {\n left: 66.66666667%;\n}\n.col-xs-push-7 {\n left: 58.33333333%;\n}\n.col-xs-push-6 {\n left: 50%;\n}\n.col-xs-push-5 {\n left: 41.66666667%;\n}\n.col-xs-push-4 {\n left: 33.33333333%;\n}\n.col-xs-push-3 {\n left: 25%;\n}\n.col-xs-push-2 {\n left: 16.66666667%;\n}\n.col-xs-push-1 {\n left: 8.33333333%;\n}\n.col-xs-push-0 {\n left: auto;\n}\n.col-xs-offset-12 {\n margin-left: 100%;\n}\n.col-xs-offset-11 {\n margin-left: 91.66666667%;\n}\n.col-xs-offset-10 {\n margin-left: 83.33333333%;\n}\n.col-xs-offset-9 {\n margin-left: 75%;\n}\n.col-xs-offset-8 {\n margin-left: 66.66666667%;\n}\n.col-xs-offset-7 {\n margin-left: 58.33333333%;\n}\n.col-xs-offset-6 {\n margin-left: 50%;\n}\n.col-xs-offset-5 {\n margin-left: 41.66666667%;\n}\n.col-xs-offset-4 {\n margin-left: 33.33333333%;\n}\n.col-xs-offset-3 {\n margin-left: 25%;\n}\n.col-xs-offset-2 {\n margin-left: 16.66666667%;\n}\n.col-xs-offset-1 {\n margin-left: 8.33333333%;\n}\n.col-xs-offset-0 {\n margin-left: 0%;\n}\n@media (min-width: 768px) {\n .col-sm-1,\n .col-sm-2,\n .col-sm-3,\n .col-sm-4,\n .col-sm-5,\n .col-sm-6,\n .col-sm-7,\n .col-sm-8,\n .col-sm-9,\n .col-sm-10,\n .col-sm-11,\n .col-sm-12 {\n float: left;\n }\n .col-sm-12 {\n width: 100%;\n }\n .col-sm-11 {\n width: 91.66666667%;\n }\n .col-sm-10 {\n width: 83.33333333%;\n }\n .col-sm-9 {\n width: 75%;\n }\n .col-sm-8 {\n width: 66.66666667%;\n }\n .col-sm-7 {\n width: 58.33333333%;\n }\n .col-sm-6 {\n width: 50%;\n }\n .col-sm-5 {\n width: 41.66666667%;\n }\n .col-sm-4 {\n width: 33.33333333%;\n }\n .col-sm-3 {\n width: 25%;\n }\n .col-sm-2 {\n width: 16.66666667%;\n }\n .col-sm-1 {\n width: 8.33333333%;\n }\n .col-sm-pull-12 {\n right: 100%;\n }\n .col-sm-pull-11 {\n right: 91.66666667%;\n }\n .col-sm-pull-10 {\n right: 83.33333333%;\n }\n .col-sm-pull-9 {\n right: 75%;\n }\n .col-sm-pull-8 {\n right: 66.66666667%;\n }\n .col-sm-pull-7 {\n right: 58.33333333%;\n }\n .col-sm-pull-6 {\n right: 50%;\n }\n .col-sm-pull-5 {\n right: 41.66666667%;\n }\n .col-sm-pull-4 {\n right: 33.33333333%;\n }\n .col-sm-pull-3 {\n right: 25%;\n }\n .col-sm-pull-2 {\n right: 16.66666667%;\n }\n .col-sm-pull-1 {\n right: 8.33333333%;\n }\n .col-sm-pull-0 {\n right: auto;\n }\n .col-sm-push-12 {\n left: 100%;\n }\n .col-sm-push-11 {\n left: 91.66666667%;\n }\n .col-sm-push-10 {\n left: 83.33333333%;\n }\n .col-sm-push-9 {\n left: 75%;\n }\n .col-sm-push-8 {\n left: 66.66666667%;\n }\n .col-sm-push-7 {\n left: 58.33333333%;\n }\n .col-sm-push-6 {\n left: 50%;\n }\n .col-sm-push-5 {\n left: 41.66666667%;\n }\n .col-sm-push-4 {\n left: 33.33333333%;\n }\n .col-sm-push-3 {\n left: 25%;\n }\n .col-sm-push-2 {\n left: 16.66666667%;\n }\n .col-sm-push-1 {\n left: 8.33333333%;\n }\n .col-sm-push-0 {\n left: auto;\n }\n .col-sm-offset-12 {\n margin-left: 100%;\n }\n .col-sm-offset-11 {\n margin-left: 91.66666667%;\n }\n .col-sm-offset-10 {\n margin-left: 83.33333333%;\n }\n .col-sm-offset-9 {\n margin-left: 75%;\n }\n .col-sm-offset-8 {\n margin-left: 66.66666667%;\n }\n .col-sm-offset-7 {\n margin-left: 58.33333333%;\n }\n .col-sm-offset-6 {\n margin-left: 50%;\n }\n .col-sm-offset-5 {\n margin-left: 41.66666667%;\n }\n .col-sm-offset-4 {\n margin-left: 33.33333333%;\n }\n .col-sm-offset-3 {\n margin-left: 25%;\n }\n .col-sm-offset-2 {\n margin-left: 16.66666667%;\n }\n .col-sm-offset-1 {\n margin-left: 8.33333333%;\n }\n .col-sm-offset-0 {\n margin-left: 0%;\n }\n}\n@media (min-width: 992px) {\n .col-md-1,\n .col-md-2,\n .col-md-3,\n .col-md-4,\n .col-md-5,\n .col-md-6,\n .col-md-7,\n .col-md-8,\n .col-md-9,\n .col-md-10,\n .col-md-11,\n .col-md-12 {\n float: left;\n }\n .col-md-12 {\n width: 100%;\n }\n .col-md-11 {\n width: 91.66666667%;\n }\n .col-md-10 {\n width: 83.33333333%;\n }\n .col-md-9 {\n width: 75%;\n }\n .col-md-8 {\n width: 66.66666667%;\n }\n .col-md-7 {\n width: 58.33333333%;\n }\n .col-md-6 {\n width: 50%;\n }\n .col-md-5 {\n width: 41.66666667%;\n }\n .col-md-4 {\n width: 33.33333333%;\n }\n .col-md-3 {\n width: 25%;\n }\n .col-md-2 {\n width: 16.66666667%;\n }\n .col-md-1 {\n width: 8.33333333%;\n }\n .col-md-pull-12 {\n right: 100%;\n }\n .col-md-pull-11 {\n right: 91.66666667%;\n }\n .col-md-pull-10 {\n right: 83.33333333%;\n }\n .col-md-pull-9 {\n right: 75%;\n }\n .col-md-pull-8 {\n right: 66.66666667%;\n }\n .col-md-pull-7 {\n right: 58.33333333%;\n }\n .col-md-pull-6 {\n right: 50%;\n }\n .col-md-pull-5 {\n right: 41.66666667%;\n }\n .col-md-pull-4 {\n right: 33.33333333%;\n }\n .col-md-pull-3 {\n right: 25%;\n }\n .col-md-pull-2 {\n right: 16.66666667%;\n }\n .col-md-pull-1 {\n right: 8.33333333%;\n }\n .col-md-pull-0 {\n right: auto;\n }\n .col-md-push-12 {\n left: 100%;\n }\n .col-md-push-11 {\n left: 91.66666667%;\n }\n .col-md-push-10 {\n left: 83.33333333%;\n }\n .col-md-push-9 {\n left: 75%;\n }\n .col-md-push-8 {\n left: 66.66666667%;\n }\n .col-md-push-7 {\n left: 58.33333333%;\n }\n .col-md-push-6 {\n left: 50%;\n }\n .col-md-push-5 {\n left: 41.66666667%;\n }\n .col-md-push-4 {\n left: 33.33333333%;\n }\n .col-md-push-3 {\n left: 25%;\n }\n .col-md-push-2 {\n left: 16.66666667%;\n }\n .col-md-push-1 {\n left: 8.33333333%;\n }\n .col-md-push-0 {\n left: auto;\n }\n .col-md-offset-12 {\n margin-left: 100%;\n }\n .col-md-offset-11 {\n margin-left: 91.66666667%;\n }\n .col-md-offset-10 {\n margin-left: 83.33333333%;\n }\n .col-md-offset-9 {\n margin-left: 75%;\n }\n .col-md-offset-8 {\n margin-left: 66.66666667%;\n }\n .col-md-offset-7 {\n margin-left: 58.33333333%;\n }\n .col-md-offset-6 {\n margin-left: 50%;\n }\n .col-md-offset-5 {\n margin-left: 41.66666667%;\n }\n .col-md-offset-4 {\n margin-left: 33.33333333%;\n }\n .col-md-offset-3 {\n margin-left: 25%;\n }\n .col-md-offset-2 {\n margin-left: 16.66666667%;\n }\n .col-md-offset-1 {\n margin-left: 8.33333333%;\n }\n .col-md-offset-0 {\n margin-left: 0%;\n }\n}\n@media (min-width: 1200px) {\n .col-lg-1,\n .col-lg-2,\n .col-lg-3,\n .col-lg-4,\n .col-lg-5,\n .col-lg-6,\n .col-lg-7,\n .col-lg-8,\n .col-lg-9,\n .col-lg-10,\n .col-lg-11,\n .col-lg-12 {\n float: left;\n }\n .col-lg-12 {\n width: 100%;\n }\n .col-lg-11 {\n width: 91.66666667%;\n }\n .col-lg-10 {\n width: 83.33333333%;\n }\n .col-lg-9 {\n width: 75%;\n }\n .col-lg-8 {\n width: 66.66666667%;\n }\n .col-lg-7 {\n width: 58.33333333%;\n }\n .col-lg-6 {\n width: 50%;\n }\n .col-lg-5 {\n width: 41.66666667%;\n }\n .col-lg-4 {\n width: 33.33333333%;\n }\n .col-lg-3 {\n width: 25%;\n }\n .col-lg-2 {\n width: 16.66666667%;\n }\n .col-lg-1 {\n width: 8.33333333%;\n }\n .col-lg-pull-12 {\n right: 100%;\n }\n .col-lg-pull-11 {\n right: 91.66666667%;\n }\n .col-lg-pull-10 {\n right: 83.33333333%;\n }\n .col-lg-pull-9 {\n right: 75%;\n }\n .col-lg-pull-8 {\n right: 66.66666667%;\n }\n .col-lg-pull-7 {\n right: 58.33333333%;\n }\n .col-lg-pull-6 {\n right: 50%;\n }\n .col-lg-pull-5 {\n right: 41.66666667%;\n }\n .col-lg-pull-4 {\n right: 33.33333333%;\n }\n .col-lg-pull-3 {\n right: 25%;\n }\n .col-lg-pull-2 {\n right: 16.66666667%;\n }\n .col-lg-pull-1 {\n right: 8.33333333%;\n }\n .col-lg-pull-0 {\n right: auto;\n }\n .col-lg-push-12 {\n left: 100%;\n }\n .col-lg-push-11 {\n left: 91.66666667%;\n }\n .col-lg-push-10 {\n left: 83.33333333%;\n }\n .col-lg-push-9 {\n left: 75%;\n }\n .col-lg-push-8 {\n left: 66.66666667%;\n }\n .col-lg-push-7 {\n left: 58.33333333%;\n }\n .col-lg-push-6 {\n left: 50%;\n }\n .col-lg-push-5 {\n left: 41.66666667%;\n }\n .col-lg-push-4 {\n left: 33.33333333%;\n }\n .col-lg-push-3 {\n left: 25%;\n }\n .col-lg-push-2 {\n left: 16.66666667%;\n }\n .col-lg-push-1 {\n left: 8.33333333%;\n }\n .col-lg-push-0 {\n left: auto;\n }\n .col-lg-offset-12 {\n margin-left: 100%;\n }\n .col-lg-offset-11 {\n margin-left: 91.66666667%;\n }\n .col-lg-offset-10 {\n margin-left: 83.33333333%;\n }\n .col-lg-offset-9 {\n margin-left: 75%;\n }\n .col-lg-offset-8 {\n margin-left: 66.66666667%;\n }\n .col-lg-offset-7 {\n margin-left: 58.33333333%;\n }\n .col-lg-offset-6 {\n margin-left: 50%;\n }\n .col-lg-offset-5 {\n margin-left: 41.66666667%;\n }\n .col-lg-offset-4 {\n margin-left: 33.33333333%;\n }\n .col-lg-offset-3 {\n margin-left: 25%;\n }\n .col-lg-offset-2 {\n margin-left: 16.66666667%;\n }\n .col-lg-offset-1 {\n margin-left: 8.33333333%;\n }\n .col-lg-offset-0 {\n margin-left: 0%;\n }\n}\ntable {\n background-color: transparent;\n}\ntable col[class*=\"col-\"] {\n position: static;\n display: table-column;\n float: none;\n}\ntable td[class*=\"col-\"],\ntable th[class*=\"col-\"] {\n position: static;\n display: table-cell;\n float: none;\n}\ncaption {\n padding-top: 8px;\n padding-bottom: 8px;\n color: #777777;\n text-align: left;\n}\nth {\n text-align: left;\n}\n.table {\n width: 100%;\n max-width: 100%;\n margin-bottom: 20px;\n}\n.table > thead > tr > th,\n.table > tbody > tr > th,\n.table > tfoot > tr > th,\n.table > thead > tr > td,\n.table > tbody > tr > td,\n.table > tfoot > tr > td {\n padding: 8px;\n line-height: 1.42857143;\n vertical-align: top;\n border-top: 1px solid #ddd;\n}\n.table > thead > tr > th {\n vertical-align: bottom;\n border-bottom: 2px solid #ddd;\n}\n.table > caption + thead > tr:first-child > th,\n.table > colgroup + thead > tr:first-child > th,\n.table > thead:first-child > tr:first-child > th,\n.table > caption + thead > tr:first-child > td,\n.table > colgroup + thead > tr:first-child > td,\n.table > thead:first-child > tr:first-child > td {\n border-top: 0;\n}\n.table > tbody + tbody {\n border-top: 2px solid #ddd;\n}\n.table .table {\n background-color: #fff;\n}\n.table-condensed > thead > tr > th,\n.table-condensed > tbody > tr > th,\n.table-condensed > tfoot > tr > th,\n.table-condensed > thead > tr > td,\n.table-condensed > tbody > tr > td,\n.table-condensed > tfoot > tr > td {\n padding: 5px;\n}\n.table-bordered {\n border: 1px solid #ddd;\n}\n.table-bordered > thead > tr > th,\n.table-bordered > tbody > tr > th,\n.table-bordered > tfoot > tr > th,\n.table-bordered > thead > tr > td,\n.table-bordered > tbody > tr > td,\n.table-bordered > tfoot > tr > td {\n border: 1px solid #ddd;\n}\n.table-bordered > thead > tr > th,\n.table-bordered > thead > tr > td {\n border-bottom-width: 2px;\n}\n.table-striped > tbody > tr:nth-of-type(odd) {\n background-color: #f9f9f9;\n}\n.table-hover > tbody > tr:hover {\n background-color: #f5f5f5;\n}\n.table > thead > tr > td.active,\n.table > tbody > tr > td.active,\n.table > tfoot > tr > td.active,\n.table > thead > tr > th.active,\n.table > tbody > tr > th.active,\n.table > tfoot > tr > th.active,\n.table > thead > tr.active > td,\n.table > tbody > tr.active > td,\n.table > tfoot > tr.active > td,\n.table > thead > tr.active > th,\n.table > tbody > tr.active > th,\n.table > tfoot > tr.active > th {\n background-color: #f5f5f5;\n}\n.table-hover > tbody > tr > td.active:hover,\n.table-hover > tbody > tr > th.active:hover,\n.table-hover > tbody > tr.active:hover > td,\n.table-hover > tbody > tr:hover > .active,\n.table-hover > tbody > tr.active:hover > th {\n background-color: #e8e8e8;\n}\n.table > thead > tr > td.success,\n.table > tbody > tr > td.success,\n.table > tfoot > tr > td.success,\n.table > thead > tr > th.success,\n.table > tbody > tr > th.success,\n.table > tfoot > tr > th.success,\n.table > thead > tr.success > td,\n.table > tbody > tr.success > td,\n.table > tfoot > tr.success > td,\n.table > thead > tr.success > th,\n.table > tbody > tr.success > th,\n.table > tfoot > tr.success > th {\n background-color: #dff0d8;\n}\n.table-hover > tbody > tr > td.success:hover,\n.table-hover > tbody > tr > th.success:hover,\n.table-hover > tbody > tr.success:hover > td,\n.table-hover > tbody > tr:hover > .success,\n.table-hover > tbody > tr.success:hover > th {\n background-color: #d0e9c6;\n}\n.table > thead > tr > td.info,\n.table > tbody > tr > td.info,\n.table > tfoot > tr > td.info,\n.table > thead > tr > th.info,\n.table > tbody > tr > th.info,\n.table > tfoot > tr > th.info,\n.table > thead > tr.info > td,\n.table > tbody > tr.info > td,\n.table > tfoot > tr.info > td,\n.table > thead > tr.info > th,\n.table > tbody > tr.info > th,\n.table > tfoot > tr.info > th {\n background-color: #d9edf7;\n}\n.table-hover > tbody > tr > td.info:hover,\n.table-hover > tbody > tr > th.info:hover,\n.table-hover > tbody > tr.info:hover > td,\n.table-hover > tbody > tr:hover > .info,\n.table-hover > tbody > tr.info:hover > th {\n background-color: #c4e3f3;\n}\n.table > thead > tr > td.warning,\n.table > tbody > tr > td.warning,\n.table > tfoot > tr > td.warning,\n.table > thead > tr > th.warning,\n.table > tbody > tr > th.warning,\n.table > tfoot > tr > th.warning,\n.table > thead > tr.warning > td,\n.table > tbody > tr.warning > td,\n.table > tfoot > tr.warning > td,\n.table > thead > tr.warning > th,\n.table > tbody > tr.warning > th,\n.table > tfoot > tr.warning > th {\n background-color: #fcf8e3;\n}\n.table-hover > tbody > tr > td.warning:hover,\n.table-hover > tbody > tr > th.warning:hover,\n.table-hover > tbody > tr.warning:hover > td,\n.table-hover > tbody > tr:hover > .warning,\n.table-hover > tbody > tr.warning:hover > th {\n background-color: #faf2cc;\n}\n.table > thead > tr > td.danger,\n.table > tbody > tr > td.danger,\n.table > tfoot > tr > td.danger,\n.table > thead > tr > th.danger,\n.table > tbody > tr > th.danger,\n.table > tfoot > tr > th.danger,\n.table > thead > tr.danger > td,\n.table > tbody > tr.danger > td,\n.table > tfoot > tr.danger > td,\n.table > thead > tr.danger > th,\n.table > tbody > tr.danger > th,\n.table > tfoot > tr.danger > th {\n background-color: #f2dede;\n}\n.table-hover > tbody > tr > td.danger:hover,\n.table-hover > tbody > tr > th.danger:hover,\n.table-hover > tbody > tr.danger:hover > td,\n.table-hover > tbody > tr:hover > .danger,\n.table-hover > tbody > tr.danger:hover > th {\n background-color: #ebcccc;\n}\n.table-responsive {\n min-height: 0.01%;\n overflow-x: auto;\n}\n@media screen and (max-width: 767px) {\n .table-responsive {\n width: 100%;\n margin-bottom: 15px;\n overflow-y: hidden;\n -ms-overflow-style: -ms-autohiding-scrollbar;\n border: 1px solid #ddd;\n }\n .table-responsive > .table {\n margin-bottom: 0;\n }\n .table-responsive > .table > thead > tr > th,\n .table-responsive > .table > tbody > tr > th,\n .table-responsive > .table > tfoot > tr > th,\n .table-responsive > .table > thead > tr > td,\n .table-responsive > .table > tbody > tr > td,\n .table-responsive > .table > tfoot > tr > td {\n white-space: nowrap;\n }\n .table-responsive > .table-bordered {\n border: 0;\n }\n .table-responsive > .table-bordered > thead > tr > th:first-child,\n .table-responsive > .table-bordered > tbody > tr > th:first-child,\n .table-responsive > .table-bordered > tfoot > tr > th:first-child,\n .table-responsive > .table-bordered > thead > tr > td:first-child,\n .table-responsive > .table-bordered > tbody > tr > td:first-child,\n .table-responsive > .table-bordered > tfoot > tr > td:first-child {\n border-left: 0;\n }\n .table-responsive > .table-bordered > thead > tr > th:last-child,\n .table-responsive > .table-bordered > tbody > tr > th:last-child,\n .table-responsive > .table-bordered > tfoot > tr > th:last-child,\n .table-responsive > .table-bordered > thead > tr > td:last-child,\n .table-responsive > .table-bordered > tbody > tr > td:last-child,\n .table-responsive > .table-bordered > tfoot > tr > td:last-child {\n border-right: 0;\n }\n .table-responsive > .table-bordered > tbody > tr:last-child > th,\n .table-responsive > .table-bordered > tfoot > tr:last-child > th,\n .table-responsive > .table-bordered > tbody > tr:last-child > td,\n .table-responsive > .table-bordered > tfoot > tr:last-child > td {\n border-bottom: 0;\n }\n}\nfieldset {\n min-width: 0;\n padding: 0;\n margin: 0;\n border: 0;\n}\nlegend {\n display: block;\n width: 100%;\n padding: 0;\n margin-bottom: 20px;\n font-size: 21px;\n line-height: inherit;\n color: #333333;\n border: 0;\n border-bottom: 1px solid #e5e5e5;\n}\nlabel {\n display: inline-block;\n max-width: 100%;\n margin-bottom: 5px;\n font-weight: 700;\n}\ninput[type=\"search\"] {\n -webkit-box-sizing: border-box;\n -moz-box-sizing: border-box;\n box-sizing: border-box;\n -webkit-appearance: none;\n appearance: none;\n}\ninput[type=\"radio\"],\ninput[type=\"checkbox\"] {\n margin: 4px 0 0;\n margin-top: 1px \\9;\n line-height: normal;\n}\ninput[type=\"radio\"][disabled],\ninput[type=\"checkbox\"][disabled],\ninput[type=\"radio\"].disabled,\ninput[type=\"checkbox\"].disabled,\nfieldset[disabled] input[type=\"radio\"],\nfieldset[disabled] input[type=\"checkbox\"] {\n cursor: not-allowed;\n}\ninput[type=\"file\"] {\n display: block;\n}\ninput[type=\"range\"] {\n display: block;\n width: 100%;\n}\nselect[multiple],\nselect[size] {\n height: auto;\n}\ninput[type=\"file\"]:focus,\ninput[type=\"radio\"]:focus,\ninput[type=\"checkbox\"]:focus {\n outline: 5px auto -webkit-focus-ring-color;\n outline-offset: -2px;\n}\noutput {\n display: block;\n padding-top: 7px;\n font-size: 14px;\n line-height: 1.42857143;\n color: #555555;\n}\n.form-control {\n display: block;\n width: 100%;\n height: 34px;\n padding: 6px 12px;\n font-size: 14px;\n line-height: 1.42857143;\n color: #555555;\n background-color: #fff;\n background-image: none;\n border: 1px solid #ccc;\n border-radius: 4px;\n -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);\n box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);\n -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;\n -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;\n transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;\n}\n.form-control:focus {\n border-color: #66afe9;\n outline: 0;\n -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, .075), 0 0 8px rgba(102, 175, 233, 0.6);\n box-shadow: inset 0 1px 1px rgba(0, 0, 0, .075), 0 0 8px rgba(102, 175, 233, 0.6);\n}\n.form-control::-moz-placeholder {\n color: #999;\n opacity: 1;\n}\n.form-control:-ms-input-placeholder {\n color: #999;\n}\n.form-control::-webkit-input-placeholder {\n color: #999;\n}\n.form-control::-ms-expand {\n background-color: transparent;\n border: 0;\n}\n.form-control[disabled],\n.form-control[readonly],\nfieldset[disabled] .form-control {\n background-color: #eeeeee;\n opacity: 1;\n}\n.form-control[disabled],\nfieldset[disabled] .form-control {\n cursor: not-allowed;\n}\ntextarea.form-control {\n height: auto;\n}\n@media screen and (-webkit-min-device-pixel-ratio: 0) {\n input[type=\"date\"].form-control,\n input[type=\"time\"].form-control,\n input[type=\"datetime-local\"].form-control,\n input[type=\"month\"].form-control {\n line-height: 34px;\n }\n input[type=\"date\"].input-sm,\n input[type=\"time\"].input-sm,\n input[type=\"datetime-local\"].input-sm,\n input[type=\"month\"].input-sm,\n .input-group-sm input[type=\"date\"],\n .input-group-sm input[type=\"time\"],\n .input-group-sm input[type=\"datetime-local\"],\n .input-group-sm input[type=\"month\"] {\n line-height: 30px;\n }\n input[type=\"date\"].input-lg,\n input[type=\"time\"].input-lg,\n input[type=\"datetime-local\"].input-lg,\n input[type=\"month\"].input-lg,\n .input-group-lg input[type=\"date\"],\n .input-group-lg input[type=\"time\"],\n .input-group-lg input[type=\"datetime-local\"],\n .input-group-lg input[type=\"month\"] {\n line-height: 46px;\n }\n}\n.form-group {\n margin-bottom: 15px;\n}\n.radio,\n.checkbox {\n position: relative;\n display: block;\n margin-top: 10px;\n margin-bottom: 10px;\n}\n.radio.disabled label,\n.checkbox.disabled label,\nfieldset[disabled] .radio label,\nfieldset[disabled] .checkbox label {\n cursor: not-allowed;\n}\n.radio label,\n.checkbox label {\n min-height: 20px;\n padding-left: 20px;\n margin-bottom: 0;\n font-weight: 400;\n cursor: pointer;\n}\n.radio input[type=\"radio\"],\n.radio-inline input[type=\"radio\"],\n.checkbox input[type=\"checkbox\"],\n.checkbox-inline input[type=\"checkbox\"] {\n position: absolute;\n margin-top: 4px \\9;\n margin-left: -20px;\n}\n.radio + .radio,\n.checkbox + .checkbox {\n margin-top: -5px;\n}\n.radio-inline,\n.checkbox-inline {\n position: relative;\n display: inline-block;\n padding-left: 20px;\n margin-bottom: 0;\n font-weight: 400;\n vertical-align: middle;\n cursor: pointer;\n}\n.radio-inline.disabled,\n.checkbox-inline.disabled,\nfieldset[disabled] .radio-inline,\nfieldset[disabled] .checkbox-inline {\n cursor: not-allowed;\n}\n.radio-inline + .radio-inline,\n.checkbox-inline + .checkbox-inline {\n margin-top: 0;\n margin-left: 10px;\n}\n.form-control-static {\n min-height: 34px;\n padding-top: 7px;\n padding-bottom: 7px;\n margin-bottom: 0;\n}\n.form-control-static.input-lg,\n.form-control-static.input-sm {\n padding-right: 0;\n padding-left: 0;\n}\n.input-sm {\n height: 30px;\n padding: 5px 10px;\n font-size: 12px;\n line-height: 1.5;\n border-radius: 3px;\n}\nselect.input-sm {\n height: 30px;\n line-height: 30px;\n}\ntextarea.input-sm,\nselect[multiple].input-sm {\n height: auto;\n}\n.form-group-sm .form-control {\n height: 30px;\n padding: 5px 10px;\n font-size: 12px;\n line-height: 1.5;\n border-radius: 3px;\n}\n.form-group-sm select.form-control {\n height: 30px;\n line-height: 30px;\n}\n.form-group-sm textarea.form-control,\n.form-group-sm select[multiple].form-control {\n height: auto;\n}\n.form-group-sm .form-control-static {\n height: 30px;\n min-height: 32px;\n padding: 6px 10px;\n font-size: 12px;\n line-height: 1.5;\n}\n.input-lg {\n height: 46px;\n padding: 10px 16px;\n font-size: 18px;\n line-height: 1.3333333;\n border-radius: 6px;\n}\nselect.input-lg {\n height: 46px;\n line-height: 46px;\n}\ntextarea.input-lg,\nselect[multiple].input-lg {\n height: auto;\n}\n.form-group-lg .form-control {\n height: 46px;\n padding: 10px 16px;\n font-size: 18px;\n line-height: 1.3333333;\n border-radius: 6px;\n}\n.form-group-lg select.form-control {\n height: 46px;\n line-height: 46px;\n}\n.form-group-lg textarea.form-control,\n.form-group-lg select[multiple].form-control {\n height: auto;\n}\n.form-group-lg .form-control-static {\n height: 46px;\n min-height: 38px;\n padding: 11px 16px;\n font-size: 18px;\n line-height: 1.3333333;\n}\n.has-feedback {\n position: relative;\n}\n.has-feedback .form-control {\n padding-right: 42.5px;\n}\n.form-control-feedback {\n position: absolute;\n top: 0;\n right: 0;\n z-index: 2;\n display: block;\n width: 34px;\n height: 34px;\n line-height: 34px;\n text-align: center;\n pointer-events: none;\n}\n.input-lg + .form-control-feedback,\n.input-group-lg + .form-control-feedback,\n.form-group-lg .form-control + .form-control-feedback {\n width: 46px;\n height: 46px;\n line-height: 46px;\n}\n.input-sm + .form-control-feedback,\n.input-group-sm + .form-control-feedback,\n.form-group-sm .form-control + .form-control-feedback {\n width: 30px;\n height: 30px;\n line-height: 30px;\n}\n.has-success .help-block,\n.has-success .control-label,\n.has-success .radio,\n.has-success .checkbox,\n.has-success .radio-inline,\n.has-success .checkbox-inline,\n.has-success.radio label,\n.has-success.checkbox label,\n.has-success.radio-inline label,\n.has-success.checkbox-inline label {\n color: #3c763d;\n}\n.has-success .form-control {\n border-color: #3c763d;\n -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);\n box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);\n}\n.has-success .form-control:focus {\n border-color: #2b542c;\n -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;\n box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;\n}\n.has-success .input-group-addon {\n color: #3c763d;\n background-color: #dff0d8;\n border-color: #3c763d;\n}\n.has-success .form-control-feedback {\n color: #3c763d;\n}\n.has-warning .help-block,\n.has-warning .control-label,\n.has-warning .radio,\n.has-warning .checkbox,\n.has-warning .radio-inline,\n.has-warning .checkbox-inline,\n.has-warning.radio label,\n.has-warning.checkbox label,\n.has-warning.radio-inline label,\n.has-warning.checkbox-inline label {\n color: #8a6d3b;\n}\n.has-warning .form-control {\n border-color: #8a6d3b;\n -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);\n box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);\n}\n.has-warning .form-control:focus {\n border-color: #66512c;\n -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;\n box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;\n}\n.has-warning .input-group-addon {\n color: #8a6d3b;\n background-color: #fcf8e3;\n border-color: #8a6d3b;\n}\n.has-warning .form-control-feedback {\n color: #8a6d3b;\n}\n.has-error .help-block,\n.has-error .control-label,\n.has-error .radio,\n.has-error .checkbox,\n.has-error .radio-inline,\n.has-error .checkbox-inline,\n.has-error.radio label,\n.has-error.checkbox label,\n.has-error.radio-inline label,\n.has-error.checkbox-inline label {\n color: #a94442;\n}\n.has-error .form-control {\n border-color: #a94442;\n -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);\n box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);\n}\n.has-error .form-control:focus {\n border-color: #843534;\n -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;\n box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;\n}\n.has-error .input-group-addon {\n color: #a94442;\n background-color: #f2dede;\n border-color: #a94442;\n}\n.has-error .form-control-feedback {\n color: #a94442;\n}\n.has-feedback label ~ .form-control-feedback {\n top: 25px;\n}\n.has-feedback label.sr-only ~ .form-control-feedback {\n top: 0;\n}\n.help-block {\n display: block;\n margin-top: 5px;\n margin-bottom: 10px;\n color: #737373;\n}\n@media (min-width: 768px) {\n .form-inline .form-group {\n display: inline-block;\n margin-bottom: 0;\n vertical-align: middle;\n }\n .form-inline .form-control {\n display: inline-block;\n width: auto;\n vertical-align: middle;\n }\n .form-inline .form-control-static {\n display: inline-block;\n }\n .form-inline .input-group {\n display: inline-table;\n vertical-align: middle;\n }\n .form-inline .input-group .input-group-addon,\n .form-inline .input-group .input-group-btn,\n .form-inline .input-group .form-control {\n width: auto;\n }\n .form-inline .input-group > .form-control {\n width: 100%;\n }\n .form-inline .control-label {\n margin-bottom: 0;\n vertical-align: middle;\n }\n .form-inline .radio,\n .form-inline .checkbox {\n display: inline-block;\n margin-top: 0;\n margin-bottom: 0;\n vertical-align: middle;\n }\n .form-inline .radio label,\n .form-inline .checkbox label {\n padding-left: 0;\n }\n .form-inline .radio input[type=\"radio\"],\n .form-inline .checkbox input[type=\"checkbox\"] {\n position: relative;\n margin-left: 0;\n }\n .form-inline .has-feedback .form-control-feedback {\n top: 0;\n }\n}\n.form-horizontal .radio,\n.form-horizontal .checkbox,\n.form-horizontal .radio-inline,\n.form-horizontal .checkbox-inline {\n padding-top: 7px;\n margin-top: 0;\n margin-bottom: 0;\n}\n.form-horizontal .radio,\n.form-horizontal .checkbox {\n min-height: 27px;\n}\n.form-horizontal .form-group {\n margin-right: -15px;\n margin-left: -15px;\n}\n@media (min-width: 768px) {\n .form-horizontal .control-label {\n padding-top: 7px;\n margin-bottom: 0;\n text-align: right;\n }\n}\n.form-horizontal .has-feedback .form-control-feedback {\n right: 15px;\n}\n@media (min-width: 768px) {\n .form-horizontal .form-group-lg .control-label {\n padding-top: 11px;\n font-size: 18px;\n }\n}\n@media (min-width: 768px) {\n .form-horizontal .form-group-sm .control-label {\n padding-top: 6px;\n font-size: 12px;\n }\n}\n.btn {\n display: inline-block;\n margin-bottom: 0;\n font-weight: normal;\n text-align: center;\n white-space: nowrap;\n vertical-align: middle;\n touch-action: manipulation;\n cursor: pointer;\n background-image: none;\n border: 1px solid transparent;\n padding: 6px 12px;\n font-size: 14px;\n line-height: 1.42857143;\n border-radius: 4px;\n -webkit-user-select: none;\n -moz-user-select: none;\n -ms-user-select: none;\n user-select: none;\n}\n.btn:focus,\n.btn:active:focus,\n.btn.active:focus,\n.btn.focus,\n.btn:active.focus,\n.btn.active.focus {\n outline: 5px auto -webkit-focus-ring-color;\n outline-offset: -2px;\n}\n.btn:hover,\n.btn:focus,\n.btn.focus {\n color: #333;\n text-decoration: none;\n}\n.btn:active,\n.btn.active {\n background-image: none;\n outline: 0;\n -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n}\n.btn.disabled,\n.btn[disabled],\nfieldset[disabled] .btn {\n cursor: not-allowed;\n filter: alpha(opacity=65);\n opacity: 0.65;\n -webkit-box-shadow: none;\n box-shadow: none;\n}\na.btn.disabled,\nfieldset[disabled] a.btn {\n pointer-events: none;\n}\n.btn-default {\n color: #333;\n background-color: #fff;\n border-color: #ccc;\n}\n.btn-default:focus,\n.btn-default.focus {\n color: #333;\n background-color: #e6e6e6;\n border-color: #8c8c8c;\n}\n.btn-default:hover {\n color: #333;\n background-color: #e6e6e6;\n border-color: #adadad;\n}\n.btn-default:active,\n.btn-default.active,\n.open > .dropdown-toggle.btn-default {\n color: #333;\n background-color: #e6e6e6;\n background-image: none;\n border-color: #adadad;\n}\n.btn-default:active:hover,\n.btn-default.active:hover,\n.open > .dropdown-toggle.btn-default:hover,\n.btn-default:active:focus,\n.btn-default.active:focus,\n.open > .dropdown-toggle.btn-default:focus,\n.btn-default:active.focus,\n.btn-default.active.focus,\n.open > .dropdown-toggle.btn-default.focus {\n color: #333;\n background-color: #d4d4d4;\n border-color: #8c8c8c;\n}\n.btn-default.disabled:hover,\n.btn-default[disabled]:hover,\nfieldset[disabled] .btn-default:hover,\n.btn-default.disabled:focus,\n.btn-default[disabled]:focus,\nfieldset[disabled] .btn-default:focus,\n.btn-default.disabled.focus,\n.btn-default[disabled].focus,\nfieldset[disabled] .btn-default.focus {\n background-color: #fff;\n border-color: #ccc;\n}\n.btn-default .badge {\n color: #fff;\n background-color: #333;\n}\n.btn-primary {\n color: #fff;\n background-color: #337ab7;\n border-color: #2e6da4;\n}\n.btn-primary:focus,\n.btn-primary.focus {\n color: #fff;\n background-color: #286090;\n border-color: #122b40;\n}\n.btn-primary:hover {\n color: #fff;\n background-color: #286090;\n border-color: #204d74;\n}\n.btn-primary:active,\n.btn-primary.active,\n.open > .dropdown-toggle.btn-primary {\n color: #fff;\n background-color: #286090;\n background-image: none;\n border-color: #204d74;\n}\n.btn-primary:active:hover,\n.btn-primary.active:hover,\n.open > .dropdown-toggle.btn-primary:hover,\n.btn-primary:active:focus,\n.btn-primary.active:focus,\n.open > .dropdown-toggle.btn-primary:focus,\n.btn-primary:active.focus,\n.btn-primary.active.focus,\n.open > .dropdown-toggle.btn-primary.focus {\n color: #fff;\n background-color: #204d74;\n border-color: #122b40;\n}\n.btn-primary.disabled:hover,\n.btn-primary[disabled]:hover,\nfieldset[disabled] .btn-primary:hover,\n.btn-primary.disabled:focus,\n.btn-primary[disabled]:focus,\nfieldset[disabled] .btn-primary:focus,\n.btn-primary.disabled.focus,\n.btn-primary[disabled].focus,\nfieldset[disabled] .btn-primary.focus {\n background-color: #337ab7;\n border-color: #2e6da4;\n}\n.btn-primary .badge {\n color: #337ab7;\n background-color: #fff;\n}\n.btn-success {\n color: #fff;\n background-color: #5cb85c;\n border-color: #4cae4c;\n}\n.btn-success:focus,\n.btn-success.focus {\n color: #fff;\n background-color: #449d44;\n border-color: #255625;\n}\n.btn-success:hover {\n color: #fff;\n background-color: #449d44;\n border-color: #398439;\n}\n.btn-success:active,\n.btn-success.active,\n.open > .dropdown-toggle.btn-success {\n color: #fff;\n background-color: #449d44;\n background-image: none;\n border-color: #398439;\n}\n.btn-success:active:hover,\n.btn-success.active:hover,\n.open > .dropdown-toggle.btn-success:hover,\n.btn-success:active:focus,\n.btn-success.active:focus,\n.open > .dropdown-toggle.btn-success:focus,\n.btn-success:active.focus,\n.btn-success.active.focus,\n.open > .dropdown-toggle.btn-success.focus {\n color: #fff;\n background-color: #398439;\n border-color: #255625;\n}\n.btn-success.disabled:hover,\n.btn-success[disabled]:hover,\nfieldset[disabled] .btn-success:hover,\n.btn-success.disabled:focus,\n.btn-success[disabled]:focus,\nfieldset[disabled] .btn-success:focus,\n.btn-success.disabled.focus,\n.btn-success[disabled].focus,\nfieldset[disabled] .btn-success.focus {\n background-color: #5cb85c;\n border-color: #4cae4c;\n}\n.btn-success .badge {\n color: #5cb85c;\n background-color: #fff;\n}\n.btn-info {\n color: #fff;\n background-color: #5bc0de;\n border-color: #46b8da;\n}\n.btn-info:focus,\n.btn-info.focus {\n color: #fff;\n background-color: #31b0d5;\n border-color: #1b6d85;\n}\n.btn-info:hover {\n color: #fff;\n background-color: #31b0d5;\n border-color: #269abc;\n}\n.btn-info:active,\n.btn-info.active,\n.open > .dropdown-toggle.btn-info {\n color: #fff;\n background-color: #31b0d5;\n background-image: none;\n border-color: #269abc;\n}\n.btn-info:active:hover,\n.btn-info.active:hover,\n.open > .dropdown-toggle.btn-info:hover,\n.btn-info:active:focus,\n.btn-info.active:focus,\n.open > .dropdown-toggle.btn-info:focus,\n.btn-info:active.focus,\n.btn-info.active.focus,\n.open > .dropdown-toggle.btn-info.focus {\n color: #fff;\n background-color: #269abc;\n border-color: #1b6d85;\n}\n.btn-info.disabled:hover,\n.btn-info[disabled]:hover,\nfieldset[disabled] .btn-info:hover,\n.btn-info.disabled:focus,\n.btn-info[disabled]:focus,\nfieldset[disabled] .btn-info:focus,\n.btn-info.disabled.focus,\n.btn-info[disabled].focus,\nfieldset[disabled] .btn-info.focus {\n background-color: #5bc0de;\n border-color: #46b8da;\n}\n.btn-info .badge {\n color: #5bc0de;\n background-color: #fff;\n}\n.btn-warning {\n color: #fff;\n background-color: #f0ad4e;\n border-color: #eea236;\n}\n.btn-warning:focus,\n.btn-warning.focus {\n color: #fff;\n background-color: #ec971f;\n border-color: #985f0d;\n}\n.btn-warning:hover {\n color: #fff;\n background-color: #ec971f;\n border-color: #d58512;\n}\n.btn-warning:active,\n.btn-warning.active,\n.open > .dropdown-toggle.btn-warning {\n color: #fff;\n background-color: #ec971f;\n background-image: none;\n border-color: #d58512;\n}\n.btn-warning:active:hover,\n.btn-warning.active:hover,\n.open > .dropdown-toggle.btn-warning:hover,\n.btn-warning:active:focus,\n.btn-warning.active:focus,\n.open > .dropdown-toggle.btn-warning:focus,\n.btn-warning:active.focus,\n.btn-warning.active.focus,\n.open > .dropdown-toggle.btn-warning.focus {\n color: #fff;\n background-color: #d58512;\n border-color: #985f0d;\n}\n.btn-warning.disabled:hover,\n.btn-warning[disabled]:hover,\nfieldset[disabled] .btn-warning:hover,\n.btn-warning.disabled:focus,\n.btn-warning[disabled]:focus,\nfieldset[disabled] .btn-warning:focus,\n.btn-warning.disabled.focus,\n.btn-warning[disabled].focus,\nfieldset[disabled] .btn-warning.focus {\n background-color: #f0ad4e;\n border-color: #eea236;\n}\n.btn-warning .badge {\n color: #f0ad4e;\n background-color: #fff;\n}\n.btn-danger {\n color: #fff;\n background-color: #d9534f;\n border-color: #d43f3a;\n}\n.btn-danger:focus,\n.btn-danger.focus {\n color: #fff;\n background-color: #c9302c;\n border-color: #761c19;\n}\n.btn-danger:hover {\n color: #fff;\n background-color: #c9302c;\n border-color: #ac2925;\n}\n.btn-danger:active,\n.btn-danger.active,\n.open > .dropdown-toggle.btn-danger {\n color: #fff;\n background-color: #c9302c;\n background-image: none;\n border-color: #ac2925;\n}\n.btn-danger:active:hover,\n.btn-danger.active:hover,\n.open > .dropdown-toggle.btn-danger:hover,\n.btn-danger:active:focus,\n.btn-danger.active:focus,\n.open > .dropdown-toggle.btn-danger:focus,\n.btn-danger:active.focus,\n.btn-danger.active.focus,\n.open > .dropdown-toggle.btn-danger.focus {\n color: #fff;\n background-color: #ac2925;\n border-color: #761c19;\n}\n.btn-danger.disabled:hover,\n.btn-danger[disabled]:hover,\nfieldset[disabled] .btn-danger:hover,\n.btn-danger.disabled:focus,\n.btn-danger[disabled]:focus,\nfieldset[disabled] .btn-danger:focus,\n.btn-danger.disabled.focus,\n.btn-danger[disabled].focus,\nfieldset[disabled] .btn-danger.focus {\n background-color: #d9534f;\n border-color: #d43f3a;\n}\n.btn-danger .badge {\n color: #d9534f;\n background-color: #fff;\n}\n.btn-link {\n font-weight: 400;\n color: #337ab7;\n border-radius: 0;\n}\n.btn-link,\n.btn-link:active,\n.btn-link.active,\n.btn-link[disabled],\nfieldset[disabled] .btn-link {\n background-color: transparent;\n -webkit-box-shadow: none;\n box-shadow: none;\n}\n.btn-link,\n.btn-link:hover,\n.btn-link:focus,\n.btn-link:active {\n border-color: transparent;\n}\n.btn-link:hover,\n.btn-link:focus {\n color: #23527c;\n text-decoration: underline;\n background-color: transparent;\n}\n.btn-link[disabled]:hover,\nfieldset[disabled] .btn-link:hover,\n.btn-link[disabled]:focus,\nfieldset[disabled] .btn-link:focus {\n color: #777777;\n text-decoration: none;\n}\n.btn-lg,\n.btn-group-lg > .btn {\n padding: 10px 16px;\n font-size: 18px;\n line-height: 1.3333333;\n border-radius: 6px;\n}\n.btn-sm,\n.btn-group-sm > .btn {\n padding: 5px 10px;\n font-size: 12px;\n line-height: 1.5;\n border-radius: 3px;\n}\n.btn-xs,\n.btn-group-xs > .btn {\n padding: 1px 5px;\n font-size: 12px;\n line-height: 1.5;\n border-radius: 3px;\n}\n.btn-block {\n display: block;\n width: 100%;\n}\n.btn-block + .btn-block {\n margin-top: 5px;\n}\ninput[type=\"submit\"].btn-block,\ninput[type=\"reset\"].btn-block,\ninput[type=\"button\"].btn-block {\n width: 100%;\n}\n.fade {\n opacity: 0;\n -webkit-transition: opacity 0.15s linear;\n -o-transition: opacity 0.15s linear;\n transition: opacity 0.15s linear;\n}\n.fade.in {\n opacity: 1;\n}\n.collapse {\n display: none;\n}\n.collapse.in {\n display: block;\n}\ntr.collapse.in {\n display: table-row;\n}\ntbody.collapse.in {\n display: table-row-group;\n}\n.collapsing {\n position: relative;\n height: 0;\n overflow: hidden;\n -webkit-transition-property: height, visibility;\n transition-property: height, visibility;\n -webkit-transition-duration: 0.35s;\n transition-duration: 0.35s;\n -webkit-transition-timing-function: ease;\n transition-timing-function: ease;\n}\n.caret {\n display: inline-block;\n width: 0;\n height: 0;\n margin-left: 2px;\n vertical-align: middle;\n border-top: 4px dashed;\n border-top: 4px solid \\9;\n border-right: 4px solid transparent;\n border-left: 4px solid transparent;\n}\n.dropup,\n.dropdown {\n position: relative;\n}\n.dropdown-toggle:focus {\n outline: 0;\n}\n.dropdown-menu {\n position: absolute;\n top: 100%;\n left: 0;\n z-index: 1000;\n display: none;\n float: left;\n min-width: 160px;\n padding: 5px 0;\n margin: 2px 0 0;\n font-size: 14px;\n text-align: left;\n list-style: none;\n background-color: #fff;\n background-clip: padding-box;\n border: 1px solid #ccc;\n border: 1px solid rgba(0, 0, 0, 0.15);\n border-radius: 4px;\n -webkit-box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\n box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\n}\n.dropdown-menu.pull-right {\n right: 0;\n left: auto;\n}\n.dropdown-menu .divider {\n height: 1px;\n margin: 9px 0;\n overflow: hidden;\n background-color: #e5e5e5;\n}\n.dropdown-menu > li > a {\n display: block;\n padding: 3px 20px;\n clear: both;\n font-weight: 400;\n line-height: 1.42857143;\n color: #333333;\n white-space: nowrap;\n}\n.dropdown-menu > li > a:hover,\n.dropdown-menu > li > a:focus {\n color: #262626;\n text-decoration: none;\n background-color: #f5f5f5;\n}\n.dropdown-menu > .active > a,\n.dropdown-menu > .active > a:hover,\n.dropdown-menu > .active > a:focus {\n color: #fff;\n text-decoration: none;\n background-color: #337ab7;\n outline: 0;\n}\n.dropdown-menu > .disabled > a,\n.dropdown-menu > .disabled > a:hover,\n.dropdown-menu > .disabled > a:focus {\n color: #777777;\n}\n.dropdown-menu > .disabled > a:hover,\n.dropdown-menu > .disabled > a:focus {\n text-decoration: none;\n cursor: not-allowed;\n background-color: transparent;\n background-image: none;\n filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n}\n.open > .dropdown-menu {\n display: block;\n}\n.open > a {\n outline: 0;\n}\n.dropdown-menu-right {\n right: 0;\n left: auto;\n}\n.dropdown-menu-left {\n right: auto;\n left: 0;\n}\n.dropdown-header {\n display: block;\n padding: 3px 20px;\n font-size: 12px;\n line-height: 1.42857143;\n color: #777777;\n white-space: nowrap;\n}\n.dropdown-backdrop {\n position: fixed;\n top: 0;\n right: 0;\n bottom: 0;\n left: 0;\n z-index: 990;\n}\n.pull-right > .dropdown-menu {\n right: 0;\n left: auto;\n}\n.dropup .caret,\n.navbar-fixed-bottom .dropdown .caret {\n content: \"\";\n border-top: 0;\n border-bottom: 4px dashed;\n border-bottom: 4px solid \\9;\n}\n.dropup .dropdown-menu,\n.navbar-fixed-bottom .dropdown .dropdown-menu {\n top: auto;\n bottom: 100%;\n margin-bottom: 2px;\n}\n@media (min-width: 768px) {\n .navbar-right .dropdown-menu {\n right: 0;\n left: auto;\n }\n .navbar-right .dropdown-menu-left {\n right: auto;\n left: 0;\n }\n}\n.btn-group,\n.btn-group-vertical {\n position: relative;\n display: inline-block;\n vertical-align: middle;\n}\n.btn-group > .btn,\n.btn-group-vertical > .btn {\n position: relative;\n float: left;\n}\n.btn-group > .btn:hover,\n.btn-group-vertical > .btn:hover,\n.btn-group > .btn:focus,\n.btn-group-vertical > .btn:focus,\n.btn-group > .btn:active,\n.btn-group-vertical > .btn:active,\n.btn-group > .btn.active,\n.btn-group-vertical > .btn.active {\n z-index: 2;\n}\n.btn-group .btn + .btn,\n.btn-group .btn + .btn-group,\n.btn-group .btn-group + .btn,\n.btn-group .btn-group + .btn-group {\n margin-left: -1px;\n}\n.btn-toolbar {\n margin-left: -5px;\n}\n.btn-toolbar .btn,\n.btn-toolbar .btn-group,\n.btn-toolbar .input-group {\n float: left;\n}\n.btn-toolbar > .btn,\n.btn-toolbar > .btn-group,\n.btn-toolbar > .input-group {\n margin-left: 5px;\n}\n.btn-group > .btn:not(:first-child):not(:last-child):not(.dropdown-toggle) {\n border-radius: 0;\n}\n.btn-group > .btn:first-child {\n margin-left: 0;\n}\n.btn-group > .btn:first-child:not(:last-child):not(.dropdown-toggle) {\n border-top-right-radius: 0;\n border-bottom-right-radius: 0;\n}\n.btn-group > .btn:last-child:not(:first-child),\n.btn-group > .dropdown-toggle:not(:first-child) {\n border-top-left-radius: 0;\n border-bottom-left-radius: 0;\n}\n.btn-group > .btn-group {\n float: left;\n}\n.btn-group > .btn-group:not(:first-child):not(:last-child) > .btn {\n border-radius: 0;\n}\n.btn-group > .btn-group:first-child:not(:last-child) > .btn:last-child,\n.btn-group > .btn-group:first-child:not(:last-child) > .dropdown-toggle {\n border-top-right-radius: 0;\n border-bottom-right-radius: 0;\n}\n.btn-group > .btn-group:last-child:not(:first-child) > .btn:first-child {\n border-top-left-radius: 0;\n border-bottom-left-radius: 0;\n}\n.btn-group .dropdown-toggle:active,\n.btn-group.open .dropdown-toggle {\n outline: 0;\n}\n.btn-group > .btn + .dropdown-toggle {\n padding-right: 8px;\n padding-left: 8px;\n}\n.btn-group > .btn-lg + .dropdown-toggle {\n padding-right: 12px;\n padding-left: 12px;\n}\n.btn-group.open .dropdown-toggle {\n -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n}\n.btn-group.open .dropdown-toggle.btn-link {\n -webkit-box-shadow: none;\n box-shadow: none;\n}\n.btn .caret {\n margin-left: 0;\n}\n.btn-lg .caret {\n border-width: 5px 5px 0;\n border-bottom-width: 0;\n}\n.dropup .btn-lg .caret {\n border-width: 0 5px 5px;\n}\n.btn-group-vertical > .btn,\n.btn-group-vertical > .btn-group,\n.btn-group-vertical > .btn-group > .btn {\n display: block;\n float: none;\n width: 100%;\n max-width: 100%;\n}\n.btn-group-vertical > .btn-group > .btn {\n float: none;\n}\n.btn-group-vertical > .btn + .btn,\n.btn-group-vertical > .btn + .btn-group,\n.btn-group-vertical > .btn-group + .btn,\n.btn-group-vertical > .btn-group + .btn-group {\n margin-top: -1px;\n margin-left: 0;\n}\n.btn-group-vertical > .btn:not(:first-child):not(:last-child) {\n border-radius: 0;\n}\n.btn-group-vertical > .btn:first-child:not(:last-child) {\n border-top-left-radius: 4px;\n border-top-right-radius: 4px;\n border-bottom-right-radius: 0;\n border-bottom-left-radius: 0;\n}\n.btn-group-vertical > .btn:last-child:not(:first-child) {\n border-top-left-radius: 0;\n border-top-right-radius: 0;\n border-bottom-right-radius: 4px;\n border-bottom-left-radius: 4px;\n}\n.btn-group-vertical > .btn-group:not(:first-child):not(:last-child) > .btn {\n border-radius: 0;\n}\n.btn-group-vertical > .btn-group:first-child:not(:last-child) > .btn:last-child,\n.btn-group-vertical > .btn-group:first-child:not(:last-child) > .dropdown-toggle {\n border-bottom-right-radius: 0;\n border-bottom-left-radius: 0;\n}\n.btn-group-vertical > .btn-group:last-child:not(:first-child) > .btn:first-child {\n border-top-left-radius: 0;\n border-top-right-radius: 0;\n}\n.btn-group-justified {\n display: table;\n width: 100%;\n table-layout: fixed;\n border-collapse: separate;\n}\n.btn-group-justified > .btn,\n.btn-group-justified > .btn-group {\n display: table-cell;\n float: none;\n width: 1%;\n}\n.btn-group-justified > .btn-group .btn {\n width: 100%;\n}\n.btn-group-justified > .btn-group .dropdown-menu {\n left: auto;\n}\n[data-toggle=\"buttons\"] > .btn input[type=\"radio\"],\n[data-toggle=\"buttons\"] > .btn-group > .btn input[type=\"radio\"],\n[data-toggle=\"buttons\"] > .btn input[type=\"checkbox\"],\n[data-toggle=\"buttons\"] > .btn-group > .btn input[type=\"checkbox\"] {\n position: absolute;\n clip: rect(0, 0, 0, 0);\n pointer-events: none;\n}\n.input-group {\n position: relative;\n display: table;\n border-collapse: separate;\n}\n.input-group[class*=\"col-\"] {\n float: none;\n padding-right: 0;\n padding-left: 0;\n}\n.input-group .form-control {\n position: relative;\n z-index: 2;\n float: left;\n width: 100%;\n margin-bottom: 0;\n}\n.input-group .form-control:focus {\n z-index: 3;\n}\n.input-group-lg > .form-control,\n.input-group-lg > .input-group-addon,\n.input-group-lg > .input-group-btn > .btn {\n height: 46px;\n padding: 10px 16px;\n font-size: 18px;\n line-height: 1.3333333;\n border-radius: 6px;\n}\nselect.input-group-lg > .form-control,\nselect.input-group-lg > .input-group-addon,\nselect.input-group-lg > .input-group-btn > .btn {\n height: 46px;\n line-height: 46px;\n}\ntextarea.input-group-lg > .form-control,\ntextarea.input-group-lg > .input-group-addon,\ntextarea.input-group-lg > .input-group-btn > .btn,\nselect[multiple].input-group-lg > .form-control,\nselect[multiple].input-group-lg > .input-group-addon,\nselect[multiple].input-group-lg > .input-group-btn > .btn {\n height: auto;\n}\n.input-group-sm > .form-control,\n.input-group-sm > .input-group-addon,\n.input-group-sm > .input-group-btn > .btn {\n height: 30px;\n padding: 5px 10px;\n font-size: 12px;\n line-height: 1.5;\n border-radius: 3px;\n}\nselect.input-group-sm > .form-control,\nselect.input-group-sm > .input-group-addon,\nselect.input-group-sm > .input-group-btn > .btn {\n height: 30px;\n line-height: 30px;\n}\ntextarea.input-group-sm > .form-control,\ntextarea.input-group-sm > .input-group-addon,\ntextarea.input-group-sm > .input-group-btn > .btn,\nselect[multiple].input-group-sm > .form-control,\nselect[multiple].input-group-sm > .input-group-addon,\nselect[multiple].input-group-sm > .input-group-btn > .btn {\n height: auto;\n}\n.input-group-addon,\n.input-group-btn,\n.input-group .form-control {\n display: table-cell;\n}\n.input-group-addon:not(:first-child):not(:last-child),\n.input-group-btn:not(:first-child):not(:last-child),\n.input-group .form-control:not(:first-child):not(:last-child) {\n border-radius: 0;\n}\n.input-group-addon,\n.input-group-btn {\n width: 1%;\n white-space: nowrap;\n vertical-align: middle;\n}\n.input-group-addon {\n padding: 6px 12px;\n font-size: 14px;\n font-weight: 400;\n line-height: 1;\n color: #555555;\n text-align: center;\n background-color: #eeeeee;\n border: 1px solid #ccc;\n border-radius: 4px;\n}\n.input-group-addon.input-sm {\n padding: 5px 10px;\n font-size: 12px;\n border-radius: 3px;\n}\n.input-group-addon.input-lg {\n padding: 10px 16px;\n font-size: 18px;\n border-radius: 6px;\n}\n.input-group-addon input[type=\"radio\"],\n.input-group-addon input[type=\"checkbox\"] {\n margin-top: 0;\n}\n.input-group .form-control:first-child,\n.input-group-addon:first-child,\n.input-group-btn:first-child > .btn,\n.input-group-btn:first-child > .btn-group > .btn,\n.input-group-btn:first-child > .dropdown-toggle,\n.input-group-btn:last-child > .btn:not(:last-child):not(.dropdown-toggle),\n.input-group-btn:last-child > .btn-group:not(:last-child) > .btn {\n border-top-right-radius: 0;\n border-bottom-right-radius: 0;\n}\n.input-group-addon:first-child {\n border-right: 0;\n}\n.input-group .form-control:last-child,\n.input-group-addon:last-child,\n.input-group-btn:last-child > .btn,\n.input-group-btn:last-child > .btn-group > .btn,\n.input-group-btn:last-child > .dropdown-toggle,\n.input-group-btn:first-child > .btn:not(:first-child),\n.input-group-btn:first-child > .btn-group:not(:first-child) > .btn {\n border-top-left-radius: 0;\n border-bottom-left-radius: 0;\n}\n.input-group-addon:last-child {\n border-left: 0;\n}\n.input-group-btn {\n position: relative;\n font-size: 0;\n white-space: nowrap;\n}\n.input-group-btn > .btn {\n position: relative;\n}\n.input-group-btn > .btn + .btn {\n margin-left: -1px;\n}\n.input-group-btn > .btn:hover,\n.input-group-btn > .btn:focus,\n.input-group-btn > .btn:active {\n z-index: 2;\n}\n.input-group-btn:first-child > .btn,\n.input-group-btn:first-child > .btn-group {\n margin-right: -1px;\n}\n.input-group-btn:last-child > .btn,\n.input-group-btn:last-child > .btn-group {\n z-index: 2;\n margin-left: -1px;\n}\n.nav {\n padding-left: 0;\n margin-bottom: 0;\n list-style: none;\n}\n.nav > li {\n position: relative;\n display: block;\n}\n.nav > li > a {\n position: relative;\n display: block;\n padding: 10px 15px;\n}\n.nav > li > a:hover,\n.nav > li > a:focus {\n text-decoration: none;\n background-color: #eeeeee;\n}\n.nav > li.disabled > a {\n color: #777777;\n}\n.nav > li.disabled > a:hover,\n.nav > li.disabled > a:focus {\n color: #777777;\n text-decoration: none;\n cursor: not-allowed;\n background-color: transparent;\n}\n.nav .open > a,\n.nav .open > a:hover,\n.nav .open > a:focus {\n background-color: #eeeeee;\n border-color: #337ab7;\n}\n.nav .nav-divider {\n height: 1px;\n margin: 9px 0;\n overflow: hidden;\n background-color: #e5e5e5;\n}\n.nav > li > a > img {\n max-width: none;\n}\n.nav-tabs {\n border-bottom: 1px solid #ddd;\n}\n.nav-tabs > li {\n float: left;\n margin-bottom: -1px;\n}\n.nav-tabs > li > a {\n margin-right: 2px;\n line-height: 1.42857143;\n border: 1px solid transparent;\n border-radius: 4px 4px 0 0;\n}\n.nav-tabs > li > a:hover {\n border-color: #eeeeee #eeeeee #ddd;\n}\n.nav-tabs > li.active > a,\n.nav-tabs > li.active > a:hover,\n.nav-tabs > li.active > a:focus {\n color: #555555;\n cursor: default;\n background-color: #fff;\n border: 1px solid #ddd;\n border-bottom-color: transparent;\n}\n.nav-tabs.nav-justified {\n width: 100%;\n border-bottom: 0;\n}\n.nav-tabs.nav-justified > li {\n float: none;\n}\n.nav-tabs.nav-justified > li > a {\n margin-bottom: 5px;\n text-align: center;\n}\n.nav-tabs.nav-justified > .dropdown .dropdown-menu {\n top: auto;\n left: auto;\n}\n@media (min-width: 768px) {\n .nav-tabs.nav-justified > li {\n display: table-cell;\n width: 1%;\n }\n .nav-tabs.nav-justified > li > a {\n margin-bottom: 0;\n }\n}\n.nav-tabs.nav-justified > li > a {\n margin-right: 0;\n border-radius: 4px;\n}\n.nav-tabs.nav-justified > .active > a,\n.nav-tabs.nav-justified > .active > a:hover,\n.nav-tabs.nav-justified > .active > a:focus {\n border: 1px solid #ddd;\n}\n@media (min-width: 768px) {\n .nav-tabs.nav-justified > li > a {\n border-bottom: 1px solid #ddd;\n border-radius: 4px 4px 0 0;\n }\n .nav-tabs.nav-justified > .active > a,\n .nav-tabs.nav-justified > .active > a:hover,\n .nav-tabs.nav-justified > .active > a:focus {\n border-bottom-color: #fff;\n }\n}\n.nav-pills > li {\n float: left;\n}\n.nav-pills > li > a {\n border-radius: 4px;\n}\n.nav-pills > li + li {\n margin-left: 2px;\n}\n.nav-pills > li.active > a,\n.nav-pills > li.active > a:hover,\n.nav-pills > li.active > a:focus {\n color: #fff;\n background-color: #337ab7;\n}\n.nav-stacked > li {\n float: none;\n}\n.nav-stacked > li + li {\n margin-top: 2px;\n margin-left: 0;\n}\n.nav-justified {\n width: 100%;\n}\n.nav-justified > li {\n float: none;\n}\n.nav-justified > li > a {\n margin-bottom: 5px;\n text-align: center;\n}\n.nav-justified > .dropdown .dropdown-menu {\n top: auto;\n left: auto;\n}\n@media (min-width: 768px) {\n .nav-justified > li {\n display: table-cell;\n width: 1%;\n }\n .nav-justified > li > a {\n margin-bottom: 0;\n }\n}\n.nav-tabs-justified {\n border-bottom: 0;\n}\n.nav-tabs-justified > li > a {\n margin-right: 0;\n border-radius: 4px;\n}\n.nav-tabs-justified > .active > a,\n.nav-tabs-justified > .active > a:hover,\n.nav-tabs-justified > .active > a:focus {\n border: 1px solid #ddd;\n}\n@media (min-width: 768px) {\n .nav-tabs-justified > li > a {\n border-bottom: 1px solid #ddd;\n border-radius: 4px 4px 0 0;\n }\n .nav-tabs-justified > .active > a,\n .nav-tabs-justified > .active > a:hover,\n .nav-tabs-justified > .active > a:focus {\n border-bottom-color: #fff;\n }\n}\n.tab-content > .tab-pane {\n display: none;\n}\n.tab-content > .active {\n display: block;\n}\n.nav-tabs .dropdown-menu {\n margin-top: -1px;\n border-top-left-radius: 0;\n border-top-right-radius: 0;\n}\n.navbar {\n position: relative;\n min-height: 50px;\n margin-bottom: 20px;\n border: 1px solid transparent;\n}\n@media (min-width: 768px) {\n .navbar {\n border-radius: 4px;\n }\n}\n@media (min-width: 768px) {\n .navbar-header {\n float: left;\n }\n}\n.navbar-collapse {\n padding-right: 15px;\n padding-left: 15px;\n overflow-x: visible;\n border-top: 1px solid transparent;\n box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1);\n -webkit-overflow-scrolling: touch;\n}\n.navbar-collapse.in {\n overflow-y: auto;\n}\n@media (min-width: 768px) {\n .navbar-collapse {\n width: auto;\n border-top: 0;\n box-shadow: none;\n }\n .navbar-collapse.collapse {\n display: block !important;\n height: auto !important;\n padding-bottom: 0;\n overflow: visible !important;\n }\n .navbar-collapse.in {\n overflow-y: visible;\n }\n .navbar-fixed-top .navbar-collapse,\n .navbar-static-top .navbar-collapse,\n .navbar-fixed-bottom .navbar-collapse {\n padding-right: 0;\n padding-left: 0;\n }\n}\n.navbar-fixed-top,\n.navbar-fixed-bottom {\n position: fixed;\n right: 0;\n left: 0;\n z-index: 1030;\n}\n.navbar-fixed-top .navbar-collapse,\n.navbar-fixed-bottom .navbar-collapse {\n max-height: 340px;\n}\n@media (max-device-width: 480px) and (orientation: landscape) {\n .navbar-fixed-top .navbar-collapse,\n .navbar-fixed-bottom .navbar-collapse {\n max-height: 200px;\n }\n}\n@media (min-width: 768px) {\n .navbar-fixed-top,\n .navbar-fixed-bottom {\n border-radius: 0;\n }\n}\n.navbar-fixed-top {\n top: 0;\n border-width: 0 0 1px;\n}\n.navbar-fixed-bottom {\n bottom: 0;\n margin-bottom: 0;\n border-width: 1px 0 0;\n}\n.container > .navbar-header,\n.container-fluid > .navbar-header,\n.container > .navbar-collapse,\n.container-fluid > .navbar-collapse {\n margin-right: -15px;\n margin-left: -15px;\n}\n@media (min-width: 768px) {\n .container > .navbar-header,\n .container-fluid > .navbar-header,\n .container > .navbar-collapse,\n .container-fluid > .navbar-collapse {\n margin-right: 0;\n margin-left: 0;\n }\n}\n.navbar-static-top {\n z-index: 1000;\n border-width: 0 0 1px;\n}\n@media (min-width: 768px) {\n .navbar-static-top {\n border-radius: 0;\n }\n}\n.navbar-brand {\n float: left;\n height: 50px;\n padding: 15px 15px;\n font-size: 18px;\n line-height: 20px;\n}\n.navbar-brand:hover,\n.navbar-brand:focus {\n text-decoration: none;\n}\n.navbar-brand > img {\n display: block;\n}\n@media (min-width: 768px) {\n .navbar > .container .navbar-brand,\n .navbar > .container-fluid .navbar-brand {\n margin-left: -15px;\n }\n}\n.navbar-toggle {\n position: relative;\n float: right;\n padding: 9px 10px;\n margin-right: 15px;\n margin-top: 8px;\n margin-bottom: 8px;\n background-color: transparent;\n background-image: none;\n border: 1px solid transparent;\n border-radius: 4px;\n}\n.navbar-toggle:focus {\n outline: 0;\n}\n.navbar-toggle .icon-bar {\n display: block;\n width: 22px;\n height: 2px;\n border-radius: 1px;\n}\n.navbar-toggle .icon-bar + .icon-bar {\n margin-top: 4px;\n}\n@media (min-width: 768px) {\n .navbar-toggle {\n display: none;\n }\n}\n.navbar-nav {\n margin: 7.5px -15px;\n}\n.navbar-nav > li > a {\n padding-top: 10px;\n padding-bottom: 10px;\n line-height: 20px;\n}\n@media (max-width: 767px) {\n .navbar-nav .open .dropdown-menu {\n position: static;\n float: none;\n width: auto;\n margin-top: 0;\n background-color: transparent;\n border: 0;\n box-shadow: none;\n }\n .navbar-nav .open .dropdown-menu > li > a,\n .navbar-nav .open .dropdown-menu .dropdown-header {\n padding: 5px 15px 5px 25px;\n }\n .navbar-nav .open .dropdown-menu > li > a {\n line-height: 20px;\n }\n .navbar-nav .open .dropdown-menu > li > a:hover,\n .navbar-nav .open .dropdown-menu > li > a:focus {\n background-image: none;\n }\n}\n@media (min-width: 768px) {\n .navbar-nav {\n float: left;\n margin: 0;\n }\n .navbar-nav > li {\n float: left;\n }\n .navbar-nav > li > a {\n padding-top: 15px;\n padding-bottom: 15px;\n }\n}\n.navbar-form {\n padding: 10px 15px;\n margin-right: -15px;\n margin-left: -15px;\n border-top: 1px solid transparent;\n border-bottom: 1px solid transparent;\n -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);\n box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);\n margin-top: 8px;\n margin-bottom: 8px;\n}\n@media (min-width: 768px) {\n .navbar-form .form-group {\n display: inline-block;\n margin-bottom: 0;\n vertical-align: middle;\n }\n .navbar-form .form-control {\n display: inline-block;\n width: auto;\n vertical-align: middle;\n }\n .navbar-form .form-control-static {\n display: inline-block;\n }\n .navbar-form .input-group {\n display: inline-table;\n vertical-align: middle;\n }\n .navbar-form .input-group .input-group-addon,\n .navbar-form .input-group .input-group-btn,\n .navbar-form .input-group .form-control {\n width: auto;\n }\n .navbar-form .input-group > .form-control {\n width: 100%;\n }\n .navbar-form .control-label {\n margin-bottom: 0;\n vertical-align: middle;\n }\n .navbar-form .radio,\n .navbar-form .checkbox {\n display: inline-block;\n margin-top: 0;\n margin-bottom: 0;\n vertical-align: middle;\n }\n .navbar-form .radio label,\n .navbar-form .checkbox label {\n padding-left: 0;\n }\n .navbar-form .radio input[type=\"radio\"],\n .navbar-form .checkbox input[type=\"checkbox\"] {\n position: relative;\n margin-left: 0;\n }\n .navbar-form .has-feedback .form-control-feedback {\n top: 0;\n }\n}\n@media (max-width: 767px) {\n .navbar-form .form-group {\n margin-bottom: 5px;\n }\n .navbar-form .form-group:last-child {\n margin-bottom: 0;\n }\n}\n@media (min-width: 768px) {\n .navbar-form {\n width: auto;\n padding-top: 0;\n padding-bottom: 0;\n margin-right: 0;\n margin-left: 0;\n border: 0;\n -webkit-box-shadow: none;\n box-shadow: none;\n }\n}\n.navbar-nav > li > .dropdown-menu {\n margin-top: 0;\n border-top-left-radius: 0;\n border-top-right-radius: 0;\n}\n.navbar-fixed-bottom .navbar-nav > li > .dropdown-menu {\n margin-bottom: 0;\n border-top-left-radius: 4px;\n border-top-right-radius: 4px;\n border-bottom-right-radius: 0;\n border-bottom-left-radius: 0;\n}\n.navbar-btn {\n margin-top: 8px;\n margin-bottom: 8px;\n}\n.navbar-btn.btn-sm {\n margin-top: 10px;\n margin-bottom: 10px;\n}\n.navbar-btn.btn-xs {\n margin-top: 14px;\n margin-bottom: 14px;\n}\n.navbar-text {\n margin-top: 15px;\n margin-bottom: 15px;\n}\n@media (min-width: 768px) {\n .navbar-text {\n float: left;\n margin-right: 15px;\n margin-left: 15px;\n }\n}\n@media (min-width: 768px) {\n .navbar-left {\n float: left !important;\n }\n .navbar-right {\n float: right !important;\n margin-right: -15px;\n }\n .navbar-right ~ .navbar-right {\n margin-right: 0;\n }\n}\n.navbar-default {\n background-color: #f8f8f8;\n border-color: #e7e7e7;\n}\n.navbar-default .navbar-brand {\n color: #777;\n}\n.navbar-default .navbar-brand:hover,\n.navbar-default .navbar-brand:focus {\n color: #5e5e5e;\n background-color: transparent;\n}\n.navbar-default .navbar-text {\n color: #777;\n}\n.navbar-default .navbar-nav > li > a {\n color: #777;\n}\n.navbar-default .navbar-nav > li > a:hover,\n.navbar-default .navbar-nav > li > a:focus {\n color: #333;\n background-color: transparent;\n}\n.navbar-default .navbar-nav > .active > a,\n.navbar-default .navbar-nav > .active > a:hover,\n.navbar-default .navbar-nav > .active > a:focus {\n color: #555;\n background-color: #e7e7e7;\n}\n.navbar-default .navbar-nav > .disabled > a,\n.navbar-default .navbar-nav > .disabled > a:hover,\n.navbar-default .navbar-nav > .disabled > a:focus {\n color: #ccc;\n background-color: transparent;\n}\n.navbar-default .navbar-nav > .open > a,\n.navbar-default .navbar-nav > .open > a:hover,\n.navbar-default .navbar-nav > .open > a:focus {\n color: #555;\n background-color: #e7e7e7;\n}\n@media (max-width: 767px) {\n .navbar-default .navbar-nav .open .dropdown-menu > li > a {\n color: #777;\n }\n .navbar-default .navbar-nav .open .dropdown-menu > li > a:hover,\n .navbar-default .navbar-nav .open .dropdown-menu > li > a:focus {\n color: #333;\n background-color: transparent;\n }\n .navbar-default .navbar-nav .open .dropdown-menu > .active > a,\n .navbar-default .navbar-nav .open .dropdown-menu > .active > a:hover,\n .navbar-default .navbar-nav .open .dropdown-menu > .active > a:focus {\n color: #555;\n background-color: #e7e7e7;\n }\n .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a,\n .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:hover,\n .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:focus {\n color: #ccc;\n background-color: transparent;\n }\n}\n.navbar-default .navbar-toggle {\n border-color: #ddd;\n}\n.navbar-default .navbar-toggle:hover,\n.navbar-default .navbar-toggle:focus {\n background-color: #ddd;\n}\n.navbar-default .navbar-toggle .icon-bar {\n background-color: #888;\n}\n.navbar-default .navbar-collapse,\n.navbar-default .navbar-form {\n border-color: #e7e7e7;\n}\n.navbar-default .navbar-link {\n color: #777;\n}\n.navbar-default .navbar-link:hover {\n color: #333;\n}\n.navbar-default .btn-link {\n color: #777;\n}\n.navbar-default .btn-link:hover,\n.navbar-default .btn-link:focus {\n color: #333;\n}\n.navbar-default .btn-link[disabled]:hover,\nfieldset[disabled] .navbar-default .btn-link:hover,\n.navbar-default .btn-link[disabled]:focus,\nfieldset[disabled] .navbar-default .btn-link:focus {\n color: #ccc;\n}\n.navbar-inverse {\n background-color: #222;\n border-color: #080808;\n}\n.navbar-inverse .navbar-brand {\n color: #9d9d9d;\n}\n.navbar-inverse .navbar-brand:hover,\n.navbar-inverse .navbar-brand:focus {\n color: #fff;\n background-color: transparent;\n}\n.navbar-inverse .navbar-text {\n color: #9d9d9d;\n}\n.navbar-inverse .navbar-nav > li > a {\n color: #9d9d9d;\n}\n.navbar-inverse .navbar-nav > li > a:hover,\n.navbar-inverse .navbar-nav > li > a:focus {\n color: #fff;\n background-color: transparent;\n}\n.navbar-inverse .navbar-nav > .active > a,\n.navbar-inverse .navbar-nav > .active > a:hover,\n.navbar-inverse .navbar-nav > .active > a:focus {\n color: #fff;\n background-color: #080808;\n}\n.navbar-inverse .navbar-nav > .disabled > a,\n.navbar-inverse .navbar-nav > .disabled > a:hover,\n.navbar-inverse .navbar-nav > .disabled > a:focus {\n color: #444;\n background-color: transparent;\n}\n.navbar-inverse .navbar-nav > .open > a,\n.navbar-inverse .navbar-nav > .open > a:hover,\n.navbar-inverse .navbar-nav > .open > a:focus {\n color: #fff;\n background-color: #080808;\n}\n@media (max-width: 767px) {\n .navbar-inverse .navbar-nav .open .dropdown-menu > .dropdown-header {\n border-color: #080808;\n }\n .navbar-inverse .navbar-nav .open .dropdown-menu .divider {\n background-color: #080808;\n }\n .navbar-inverse .navbar-nav .open .dropdown-menu > li > a {\n color: #9d9d9d;\n }\n .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:hover,\n .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:focus {\n color: #fff;\n background-color: transparent;\n }\n .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a,\n .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:hover,\n .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:focus {\n color: #fff;\n background-color: #080808;\n }\n .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a,\n .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:hover,\n .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:focus {\n color: #444;\n background-color: transparent;\n }\n}\n.navbar-inverse .navbar-toggle {\n border-color: #333;\n}\n.navbar-inverse .navbar-toggle:hover,\n.navbar-inverse .navbar-toggle:focus {\n background-color: #333;\n}\n.navbar-inverse .navbar-toggle .icon-bar {\n background-color: #fff;\n}\n.navbar-inverse .navbar-collapse,\n.navbar-inverse .navbar-form {\n border-color: #101010;\n}\n.navbar-inverse .navbar-link {\n color: #9d9d9d;\n}\n.navbar-inverse .navbar-link:hover {\n color: #fff;\n}\n.navbar-inverse .btn-link {\n color: #9d9d9d;\n}\n.navbar-inverse .btn-link:hover,\n.navbar-inverse .btn-link:focus {\n color: #fff;\n}\n.navbar-inverse .btn-link[disabled]:hover,\nfieldset[disabled] .navbar-inverse .btn-link:hover,\n.navbar-inverse .btn-link[disabled]:focus,\nfieldset[disabled] .navbar-inverse .btn-link:focus {\n color: #444;\n}\n.breadcrumb {\n padding: 8px 15px;\n margin-bottom: 20px;\n list-style: none;\n background-color: #f5f5f5;\n border-radius: 4px;\n}\n.breadcrumb > li {\n display: inline-block;\n}\n.breadcrumb > li + li:before {\n padding: 0 5px;\n color: #ccc;\n content: \"/\\00a0\";\n}\n.breadcrumb > .active {\n color: #777777;\n}\n.pagination {\n display: inline-block;\n padding-left: 0;\n margin: 20px 0;\n border-radius: 4px;\n}\n.pagination > li {\n display: inline;\n}\n.pagination > li > a,\n.pagination > li > span {\n position: relative;\n float: left;\n padding: 6px 12px;\n margin-left: -1px;\n line-height: 1.42857143;\n color: #337ab7;\n text-decoration: none;\n background-color: #fff;\n border: 1px solid #ddd;\n}\n.pagination > li > a:hover,\n.pagination > li > span:hover,\n.pagination > li > a:focus,\n.pagination > li > span:focus {\n z-index: 2;\n color: #23527c;\n background-color: #eeeeee;\n border-color: #ddd;\n}\n.pagination > li:first-child > a,\n.pagination > li:first-child > span {\n margin-left: 0;\n border-top-left-radius: 4px;\n border-bottom-left-radius: 4px;\n}\n.pagination > li:last-child > a,\n.pagination > li:last-child > span {\n border-top-right-radius: 4px;\n border-bottom-right-radius: 4px;\n}\n.pagination > .active > a,\n.pagination > .active > span,\n.pagination > .active > a:hover,\n.pagination > .active > span:hover,\n.pagination > .active > a:focus,\n.pagination > .active > span:focus {\n z-index: 3;\n color: #fff;\n cursor: default;\n background-color: #337ab7;\n border-color: #337ab7;\n}\n.pagination > .disabled > span,\n.pagination > .disabled > span:hover,\n.pagination > .disabled > span:focus,\n.pagination > .disabled > a,\n.pagination > .disabled > a:hover,\n.pagination > .disabled > a:focus {\n color: #777777;\n cursor: not-allowed;\n background-color: #fff;\n border-color: #ddd;\n}\n.pagination-lg > li > a,\n.pagination-lg > li > span {\n padding: 10px 16px;\n font-size: 18px;\n line-height: 1.3333333;\n}\n.pagination-lg > li:first-child > a,\n.pagination-lg > li:first-child > span {\n border-top-left-radius: 6px;\n border-bottom-left-radius: 6px;\n}\n.pagination-lg > li:last-child > a,\n.pagination-lg > li:last-child > span {\n border-top-right-radius: 6px;\n border-bottom-right-radius: 6px;\n}\n.pagination-sm > li > a,\n.pagination-sm > li > span {\n padding: 5px 10px;\n font-size: 12px;\n line-height: 1.5;\n}\n.pagination-sm > li:first-child > a,\n.pagination-sm > li:first-child > span {\n border-top-left-radius: 3px;\n border-bottom-left-radius: 3px;\n}\n.pagination-sm > li:last-child > a,\n.pagination-sm > li:last-child > span {\n border-top-right-radius: 3px;\n border-bottom-right-radius: 3px;\n}\n.pager {\n padding-left: 0;\n margin: 20px 0;\n text-align: center;\n list-style: none;\n}\n.pager li {\n display: inline;\n}\n.pager li > a,\n.pager li > span {\n display: inline-block;\n padding: 5px 14px;\n background-color: #fff;\n border: 1px solid #ddd;\n border-radius: 15px;\n}\n.pager li > a:hover,\n.pager li > a:focus {\n text-decoration: none;\n background-color: #eeeeee;\n}\n.pager .next > a,\n.pager .next > span {\n float: right;\n}\n.pager .previous > a,\n.pager .previous > span {\n float: left;\n}\n.pager .disabled > a,\n.pager .disabled > a:hover,\n.pager .disabled > a:focus,\n.pager .disabled > span {\n color: #777777;\n cursor: not-allowed;\n background-color: #fff;\n}\n.label {\n display: inline;\n padding: 0.2em 0.6em 0.3em;\n font-size: 75%;\n font-weight: 700;\n line-height: 1;\n color: #fff;\n text-align: center;\n white-space: nowrap;\n vertical-align: baseline;\n border-radius: 0.25em;\n}\na.label:hover,\na.label:focus {\n color: #fff;\n text-decoration: none;\n cursor: pointer;\n}\n.label:empty {\n display: none;\n}\n.btn .label {\n position: relative;\n top: -1px;\n}\n.label-default {\n background-color: #777777;\n}\n.label-default[href]:hover,\n.label-default[href]:focus {\n background-color: #5e5e5e;\n}\n.label-primary {\n background-color: #337ab7;\n}\n.label-primary[href]:hover,\n.label-primary[href]:focus {\n background-color: #286090;\n}\n.label-success {\n background-color: #5cb85c;\n}\n.label-success[href]:hover,\n.label-success[href]:focus {\n background-color: #449d44;\n}\n.label-info {\n background-color: #5bc0de;\n}\n.label-info[href]:hover,\n.label-info[href]:focus {\n background-color: #31b0d5;\n}\n.label-warning {\n background-color: #f0ad4e;\n}\n.label-warning[href]:hover,\n.label-warning[href]:focus {\n background-color: #ec971f;\n}\n.label-danger {\n background-color: #d9534f;\n}\n.label-danger[href]:hover,\n.label-danger[href]:focus {\n background-color: #c9302c;\n}\n.badge {\n display: inline-block;\n min-width: 10px;\n padding: 3px 7px;\n font-size: 12px;\n font-weight: bold;\n line-height: 1;\n color: #fff;\n text-align: center;\n white-space: nowrap;\n vertical-align: middle;\n background-color: #777777;\n border-radius: 10px;\n}\n.badge:empty {\n display: none;\n}\n.btn .badge {\n position: relative;\n top: -1px;\n}\n.btn-xs .badge,\n.btn-group-xs > .btn .badge {\n top: 0;\n padding: 1px 5px;\n}\na.badge:hover,\na.badge:focus {\n color: #fff;\n text-decoration: none;\n cursor: pointer;\n}\n.list-group-item.active > .badge,\n.nav-pills > .active > a > .badge {\n color: #337ab7;\n background-color: #fff;\n}\n.list-group-item > .badge {\n float: right;\n}\n.list-group-item > .badge + .badge {\n margin-right: 5px;\n}\n.nav-pills > li > a > .badge {\n margin-left: 3px;\n}\n.jumbotron {\n padding-top: 30px;\n padding-bottom: 30px;\n margin-bottom: 30px;\n color: inherit;\n background-color: #eeeeee;\n}\n.jumbotron h1,\n.jumbotron .h1 {\n color: inherit;\n}\n.jumbotron p {\n margin-bottom: 15px;\n font-size: 21px;\n font-weight: 200;\n}\n.jumbotron > hr {\n border-top-color: #d5d5d5;\n}\n.container .jumbotron,\n.container-fluid .jumbotron {\n padding-right: 15px;\n padding-left: 15px;\n border-radius: 6px;\n}\n.jumbotron .container {\n max-width: 100%;\n}\n@media screen and (min-width: 768px) {\n .jumbotron {\n padding-top: 48px;\n padding-bottom: 48px;\n }\n .container .jumbotron,\n .container-fluid .jumbotron {\n padding-right: 60px;\n padding-left: 60px;\n }\n .jumbotron h1,\n .jumbotron .h1 {\n font-size: 63px;\n }\n}\n.thumbnail {\n display: block;\n padding: 4px;\n margin-bottom: 20px;\n line-height: 1.42857143;\n background-color: #fff;\n border: 1px solid #ddd;\n border-radius: 4px;\n -webkit-transition: border 0.2s ease-in-out;\n -o-transition: border 0.2s ease-in-out;\n transition: border 0.2s ease-in-out;\n}\n.thumbnail > img,\n.thumbnail a > img {\n margin-right: auto;\n margin-left: auto;\n}\na.thumbnail:hover,\na.thumbnail:focus,\na.thumbnail.active {\n border-color: #337ab7;\n}\n.thumbnail .caption {\n padding: 9px;\n color: #333333;\n}\n.alert {\n padding: 15px;\n margin-bottom: 20px;\n border: 1px solid transparent;\n border-radius: 4px;\n}\n.alert h4 {\n margin-top: 0;\n color: inherit;\n}\n.alert .alert-link {\n font-weight: bold;\n}\n.alert > p,\n.alert > ul {\n margin-bottom: 0;\n}\n.alert > p + p {\n margin-top: 5px;\n}\n.alert-dismissable,\n.alert-dismissible {\n padding-right: 35px;\n}\n.alert-dismissable .close,\n.alert-dismissible .close {\n position: relative;\n top: -2px;\n right: -21px;\n color: inherit;\n}\n.alert-success {\n color: #3c763d;\n background-color: #dff0d8;\n border-color: #d6e9c6;\n}\n.alert-success hr {\n border-top-color: #c9e2b3;\n}\n.alert-success .alert-link {\n color: #2b542c;\n}\n.alert-info {\n color: #31708f;\n background-color: #d9edf7;\n border-color: #bce8f1;\n}\n.alert-info hr {\n border-top-color: #a6e1ec;\n}\n.alert-info .alert-link {\n color: #245269;\n}\n.alert-warning {\n color: #8a6d3b;\n background-color: #fcf8e3;\n border-color: #faebcc;\n}\n.alert-warning hr {\n border-top-color: #f7e1b5;\n}\n.alert-warning .alert-link {\n color: #66512c;\n}\n.alert-danger {\n color: #a94442;\n background-color: #f2dede;\n border-color: #ebccd1;\n}\n.alert-danger hr {\n border-top-color: #e4b9c0;\n}\n.alert-danger .alert-link {\n color: #843534;\n}\n@-webkit-keyframes progress-bar-stripes {\n from {\n background-position: 40px 0;\n }\n to {\n background-position: 0 0;\n }\n}\n@keyframes progress-bar-stripes {\n from {\n background-position: 40px 0;\n }\n to {\n background-position: 0 0;\n }\n}\n.progress {\n height: 20px;\n margin-bottom: 20px;\n overflow: hidden;\n background-color: #f5f5f5;\n border-radius: 4px;\n -webkit-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);\n box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);\n}\n.progress-bar {\n float: left;\n width: 0%;\n height: 100%;\n font-size: 12px;\n line-height: 20px;\n color: #fff;\n text-align: center;\n background-color: #337ab7;\n -webkit-box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);\n box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);\n -webkit-transition: width 0.6s ease;\n -o-transition: width 0.6s ease;\n transition: width 0.6s ease;\n}\n.progress-striped .progress-bar,\n.progress-bar-striped {\n background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n background-size: 40px 40px;\n}\n.progress.active .progress-bar,\n.progress-bar.active {\n -webkit-animation: progress-bar-stripes 2s linear infinite;\n -o-animation: progress-bar-stripes 2s linear infinite;\n animation: progress-bar-stripes 2s linear infinite;\n}\n.progress-bar-success {\n background-color: #5cb85c;\n}\n.progress-striped .progress-bar-success {\n background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n}\n.progress-bar-info {\n background-color: #5bc0de;\n}\n.progress-striped .progress-bar-info {\n background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n}\n.progress-bar-warning {\n background-color: #f0ad4e;\n}\n.progress-striped .progress-bar-warning {\n background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n}\n.progress-bar-danger {\n background-color: #d9534f;\n}\n.progress-striped .progress-bar-danger {\n background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n}\n.media {\n margin-top: 15px;\n}\n.media:first-child {\n margin-top: 0;\n}\n.media,\n.media-body {\n overflow: hidden;\n zoom: 1;\n}\n.media-body {\n width: 10000px;\n}\n.media-object {\n display: block;\n}\n.media-object.img-thumbnail {\n max-width: none;\n}\n.media-right,\n.media > .pull-right {\n padding-left: 10px;\n}\n.media-left,\n.media > .pull-left {\n padding-right: 10px;\n}\n.media-left,\n.media-right,\n.media-body {\n display: table-cell;\n vertical-align: top;\n}\n.media-middle {\n vertical-align: middle;\n}\n.media-bottom {\n vertical-align: bottom;\n}\n.media-heading {\n margin-top: 0;\n margin-bottom: 5px;\n}\n.media-list {\n padding-left: 0;\n list-style: none;\n}\n.list-group {\n padding-left: 0;\n margin-bottom: 20px;\n}\n.list-group-item {\n position: relative;\n display: block;\n padding: 10px 15px;\n margin-bottom: -1px;\n background-color: #fff;\n border: 1px solid #ddd;\n}\n.list-group-item:first-child {\n border-top-left-radius: 4px;\n border-top-right-radius: 4px;\n}\n.list-group-item:last-child {\n margin-bottom: 0;\n border-bottom-right-radius: 4px;\n border-bottom-left-radius: 4px;\n}\n.list-group-item.disabled,\n.list-group-item.disabled:hover,\n.list-group-item.disabled:focus {\n color: #777777;\n cursor: not-allowed;\n background-color: #eeeeee;\n}\n.list-group-item.disabled .list-group-item-heading,\n.list-group-item.disabled:hover .list-group-item-heading,\n.list-group-item.disabled:focus .list-group-item-heading {\n color: inherit;\n}\n.list-group-item.disabled .list-group-item-text,\n.list-group-item.disabled:hover .list-group-item-text,\n.list-group-item.disabled:focus .list-group-item-text {\n color: #777777;\n}\n.list-group-item.active,\n.list-group-item.active:hover,\n.list-group-item.active:focus {\n z-index: 2;\n color: #fff;\n background-color: #337ab7;\n border-color: #337ab7;\n}\n.list-group-item.active .list-group-item-heading,\n.list-group-item.active:hover .list-group-item-heading,\n.list-group-item.active:focus .list-group-item-heading,\n.list-group-item.active .list-group-item-heading > small,\n.list-group-item.active:hover .list-group-item-heading > small,\n.list-group-item.active:focus .list-group-item-heading > small,\n.list-group-item.active .list-group-item-heading > .small,\n.list-group-item.active:hover .list-group-item-heading > .small,\n.list-group-item.active:focus .list-group-item-heading > .small {\n color: inherit;\n}\n.list-group-item.active .list-group-item-text,\n.list-group-item.active:hover .list-group-item-text,\n.list-group-item.active:focus .list-group-item-text {\n color: #c7ddef;\n}\na.list-group-item,\nbutton.list-group-item {\n color: #555;\n}\na.list-group-item .list-group-item-heading,\nbutton.list-group-item .list-group-item-heading {\n color: #333;\n}\na.list-group-item:hover,\nbutton.list-group-item:hover,\na.list-group-item:focus,\nbutton.list-group-item:focus {\n color: #555;\n text-decoration: none;\n background-color: #f5f5f5;\n}\nbutton.list-group-item {\n width: 100%;\n text-align: left;\n}\n.list-group-item-success {\n color: #3c763d;\n background-color: #dff0d8;\n}\na.list-group-item-success,\nbutton.list-group-item-success {\n color: #3c763d;\n}\na.list-group-item-success .list-group-item-heading,\nbutton.list-group-item-success .list-group-item-heading {\n color: inherit;\n}\na.list-group-item-success:hover,\nbutton.list-group-item-success:hover,\na.list-group-item-success:focus,\nbutton.list-group-item-success:focus {\n color: #3c763d;\n background-color: #d0e9c6;\n}\na.list-group-item-success.active,\nbutton.list-group-item-success.active,\na.list-group-item-success.active:hover,\nbutton.list-group-item-success.active:hover,\na.list-group-item-success.active:focus,\nbutton.list-group-item-success.active:focus {\n color: #fff;\n background-color: #3c763d;\n border-color: #3c763d;\n}\n.list-group-item-info {\n color: #31708f;\n background-color: #d9edf7;\n}\na.list-group-item-info,\nbutton.list-group-item-info {\n color: #31708f;\n}\na.list-group-item-info .list-group-item-heading,\nbutton.list-group-item-info .list-group-item-heading {\n color: inherit;\n}\na.list-group-item-info:hover,\nbutton.list-group-item-info:hover,\na.list-group-item-info:focus,\nbutton.list-group-item-info:focus {\n color: #31708f;\n background-color: #c4e3f3;\n}\na.list-group-item-info.active,\nbutton.list-group-item-info.active,\na.list-group-item-info.active:hover,\nbutton.list-group-item-info.active:hover,\na.list-group-item-info.active:focus,\nbutton.list-group-item-info.active:focus {\n color: #fff;\n background-color: #31708f;\n border-color: #31708f;\n}\n.list-group-item-warning {\n color: #8a6d3b;\n background-color: #fcf8e3;\n}\na.list-group-item-warning,\nbutton.list-group-item-warning {\n color: #8a6d3b;\n}\na.list-group-item-warning .list-group-item-heading,\nbutton.list-group-item-warning .list-group-item-heading {\n color: inherit;\n}\na.list-group-item-warning:hover,\nbutton.list-group-item-warning:hover,\na.list-group-item-warning:focus,\nbutton.list-group-item-warning:focus {\n color: #8a6d3b;\n background-color: #faf2cc;\n}\na.list-group-item-warning.active,\nbutton.list-group-item-warning.active,\na.list-group-item-warning.active:hover,\nbutton.list-group-item-warning.active:hover,\na.list-group-item-warning.active:focus,\nbutton.list-group-item-warning.active:focus {\n color: #fff;\n background-color: #8a6d3b;\n border-color: #8a6d3b;\n}\n.list-group-item-danger {\n color: #a94442;\n background-color: #f2dede;\n}\na.list-group-item-danger,\nbutton.list-group-item-danger {\n color: #a94442;\n}\na.list-group-item-danger .list-group-item-heading,\nbutton.list-group-item-danger .list-group-item-heading {\n color: inherit;\n}\na.list-group-item-danger:hover,\nbutton.list-group-item-danger:hover,\na.list-group-item-danger:focus,\nbutton.list-group-item-danger:focus {\n color: #a94442;\n background-color: #ebcccc;\n}\na.list-group-item-danger.active,\nbutton.list-group-item-danger.active,\na.list-group-item-danger.active:hover,\nbutton.list-group-item-danger.active:hover,\na.list-group-item-danger.active:focus,\nbutton.list-group-item-danger.active:focus {\n color: #fff;\n background-color: #a94442;\n border-color: #a94442;\n}\n.list-group-item-heading {\n margin-top: 0;\n margin-bottom: 5px;\n}\n.list-group-item-text {\n margin-bottom: 0;\n line-height: 1.3;\n}\n.panel {\n margin-bottom: 20px;\n background-color: #fff;\n border: 1px solid transparent;\n border-radius: 4px;\n -webkit-box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);\n box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);\n}\n.panel-body {\n padding: 15px;\n}\n.panel-heading {\n padding: 10px 15px;\n border-bottom: 1px solid transparent;\n border-top-left-radius: 3px;\n border-top-right-radius: 3px;\n}\n.panel-heading > .dropdown .dropdown-toggle {\n color: inherit;\n}\n.panel-title {\n margin-top: 0;\n margin-bottom: 0;\n font-size: 16px;\n color: inherit;\n}\n.panel-title > a,\n.panel-title > small,\n.panel-title > .small,\n.panel-title > small > a,\n.panel-title > .small > a {\n color: inherit;\n}\n.panel-footer {\n padding: 10px 15px;\n background-color: #f5f5f5;\n border-top: 1px solid #ddd;\n border-bottom-right-radius: 3px;\n border-bottom-left-radius: 3px;\n}\n.panel > .list-group,\n.panel > .panel-collapse > .list-group {\n margin-bottom: 0;\n}\n.panel > .list-group .list-group-item,\n.panel > .panel-collapse > .list-group .list-group-item {\n border-width: 1px 0;\n border-radius: 0;\n}\n.panel > .list-group:first-child .list-group-item:first-child,\n.panel > .panel-collapse > .list-group:first-child .list-group-item:first-child {\n border-top: 0;\n border-top-left-radius: 3px;\n border-top-right-radius: 3px;\n}\n.panel > .list-group:last-child .list-group-item:last-child,\n.panel > .panel-collapse > .list-group:last-child .list-group-item:last-child {\n border-bottom: 0;\n border-bottom-right-radius: 3px;\n border-bottom-left-radius: 3px;\n}\n.panel > .panel-heading + .panel-collapse > .list-group .list-group-item:first-child {\n border-top-left-radius: 0;\n border-top-right-radius: 0;\n}\n.panel-heading + .list-group .list-group-item:first-child {\n border-top-width: 0;\n}\n.list-group + .panel-footer {\n border-top-width: 0;\n}\n.panel > .table,\n.panel > .table-responsive > .table,\n.panel > .panel-collapse > .table {\n margin-bottom: 0;\n}\n.panel > .table caption,\n.panel > .table-responsive > .table caption,\n.panel > .panel-collapse > .table caption {\n padding-right: 15px;\n padding-left: 15px;\n}\n.panel > .table:first-child,\n.panel > .table-responsive:first-child > .table:first-child {\n border-top-left-radius: 3px;\n border-top-right-radius: 3px;\n}\n.panel > .table:first-child > thead:first-child > tr:first-child,\n.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child,\n.panel > .table:first-child > tbody:first-child > tr:first-child,\n.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child {\n border-top-left-radius: 3px;\n border-top-right-radius: 3px;\n}\n.panel > .table:first-child > thead:first-child > tr:first-child td:first-child,\n.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:first-child,\n.panel > .table:first-child > tbody:first-child > tr:first-child td:first-child,\n.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:first-child,\n.panel > .table:first-child > thead:first-child > tr:first-child th:first-child,\n.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:first-child,\n.panel > .table:first-child > tbody:first-child > tr:first-child th:first-child,\n.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:first-child {\n border-top-left-radius: 3px;\n}\n.panel > .table:first-child > thead:first-child > tr:first-child td:last-child,\n.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:last-child,\n.panel > .table:first-child > tbody:first-child > tr:first-child td:last-child,\n.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:last-child,\n.panel > .table:first-child > thead:first-child > tr:first-child th:last-child,\n.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:last-child,\n.panel > .table:first-child > tbody:first-child > tr:first-child th:last-child,\n.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:last-child {\n border-top-right-radius: 3px;\n}\n.panel > .table:last-child,\n.panel > .table-responsive:last-child > .table:last-child {\n border-bottom-right-radius: 3px;\n border-bottom-left-radius: 3px;\n}\n.panel > .table:last-child > tbody:last-child > tr:last-child,\n.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child,\n.panel > .table:last-child > tfoot:last-child > tr:last-child,\n.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child {\n border-bottom-right-radius: 3px;\n border-bottom-left-radius: 3px;\n}\n.panel > .table:last-child > tbody:last-child > tr:last-child td:first-child,\n.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:first-child,\n.panel > .table:last-child > tfoot:last-child > tr:last-child td:first-child,\n.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:first-child,\n.panel > .table:last-child > tbody:last-child > tr:last-child th:first-child,\n.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:first-child,\n.panel > .table:last-child > tfoot:last-child > tr:last-child th:first-child,\n.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:first-child {\n border-bottom-left-radius: 3px;\n}\n.panel > .table:last-child > tbody:last-child > tr:last-child td:last-child,\n.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:last-child,\n.panel > .table:last-child > tfoot:last-child > tr:last-child td:last-child,\n.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:last-child,\n.panel > .table:last-child > tbody:last-child > tr:last-child th:last-child,\n.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:last-child,\n.panel > .table:last-child > tfoot:last-child > tr:last-child th:last-child,\n.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:last-child {\n border-bottom-right-radius: 3px;\n}\n.panel > .panel-body + .table,\n.panel > .panel-body + .table-responsive,\n.panel > .table + .panel-body,\n.panel > .table-responsive + .panel-body {\n border-top: 1px solid #ddd;\n}\n.panel > .table > tbody:first-child > tr:first-child th,\n.panel > .table > tbody:first-child > tr:first-child td {\n border-top: 0;\n}\n.panel > .table-bordered,\n.panel > .table-responsive > .table-bordered {\n border: 0;\n}\n.panel > .table-bordered > thead > tr > th:first-child,\n.panel > .table-responsive > .table-bordered > thead > tr > th:first-child,\n.panel > .table-bordered > tbody > tr > th:first-child,\n.panel > .table-responsive > .table-bordered > tbody > tr > th:first-child,\n.panel > .table-bordered > tfoot > tr > th:first-child,\n.panel > .table-responsive > .table-bordered > tfoot > tr > th:first-child,\n.panel > .table-bordered > thead > tr > td:first-child,\n.panel > .table-responsive > .table-bordered > thead > tr > td:first-child,\n.panel > .table-bordered > tbody > tr > td:first-child,\n.panel > .table-responsive > .table-bordered > tbody > tr > td:first-child,\n.panel > .table-bordered > tfoot > tr > td:first-child,\n.panel > .table-responsive > .table-bordered > tfoot > tr > td:first-child {\n border-left: 0;\n}\n.panel > .table-bordered > thead > tr > th:last-child,\n.panel > .table-responsive > .table-bordered > thead > tr > th:last-child,\n.panel > .table-bordered > tbody > tr > th:last-child,\n.panel > .table-responsive > .table-bordered > tbody > tr > th:last-child,\n.panel > .table-bordered > tfoot > tr > th:last-child,\n.panel > .table-responsive > .table-bordered > tfoot > tr > th:last-child,\n.panel > .table-bordered > thead > tr > td:last-child,\n.panel > .table-responsive > .table-bordered > thead > tr > td:last-child,\n.panel > .table-bordered > tbody > tr > td:last-child,\n.panel > .table-responsive > .table-bordered > tbody > tr > td:last-child,\n.panel > .table-bordered > tfoot > tr > td:last-child,\n.panel > .table-responsive > .table-bordered > tfoot > tr > td:last-child {\n border-right: 0;\n}\n.panel > .table-bordered > thead > tr:first-child > td,\n.panel > .table-responsive > .table-bordered > thead > tr:first-child > td,\n.panel > .table-bordered > tbody > tr:first-child > td,\n.panel > .table-responsive > .table-bordered > tbody > tr:first-child > td,\n.panel > .table-bordered > thead > tr:first-child > th,\n.panel > .table-responsive > .table-bordered > thead > tr:first-child > th,\n.panel > .table-bordered > tbody > tr:first-child > th,\n.panel > .table-responsive > .table-bordered > tbody > tr:first-child > th {\n border-bottom: 0;\n}\n.panel > .table-bordered > tbody > tr:last-child > td,\n.panel > .table-responsive > .table-bordered > tbody > tr:last-child > td,\n.panel > .table-bordered > tfoot > tr:last-child > td,\n.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > td,\n.panel > .table-bordered > tbody > tr:last-child > th,\n.panel > .table-responsive > .table-bordered > tbody > tr:last-child > th,\n.panel > .table-bordered > tfoot > tr:last-child > th,\n.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > th {\n border-bottom: 0;\n}\n.panel > .table-responsive {\n margin-bottom: 0;\n border: 0;\n}\n.panel-group {\n margin-bottom: 20px;\n}\n.panel-group .panel {\n margin-bottom: 0;\n border-radius: 4px;\n}\n.panel-group .panel + .panel {\n margin-top: 5px;\n}\n.panel-group .panel-heading {\n border-bottom: 0;\n}\n.panel-group .panel-heading + .panel-collapse > .panel-body,\n.panel-group .panel-heading + .panel-collapse > .list-group {\n border-top: 1px solid #ddd;\n}\n.panel-group .panel-footer {\n border-top: 0;\n}\n.panel-group .panel-footer + .panel-collapse .panel-body {\n border-bottom: 1px solid #ddd;\n}\n.panel-default {\n border-color: #ddd;\n}\n.panel-default > .panel-heading {\n color: #333333;\n background-color: #f5f5f5;\n border-color: #ddd;\n}\n.panel-default > .panel-heading + .panel-collapse > .panel-body {\n border-top-color: #ddd;\n}\n.panel-default > .panel-heading .badge {\n color: #f5f5f5;\n background-color: #333333;\n}\n.panel-default > .panel-footer + .panel-collapse > .panel-body {\n border-bottom-color: #ddd;\n}\n.panel-primary {\n border-color: #337ab7;\n}\n.panel-primary > .panel-heading {\n color: #fff;\n background-color: #337ab7;\n border-color: #337ab7;\n}\n.panel-primary > .panel-heading + .panel-collapse > .panel-body {\n border-top-color: #337ab7;\n}\n.panel-primary > .panel-heading .badge {\n color: #337ab7;\n background-color: #fff;\n}\n.panel-primary > .panel-footer + .panel-collapse > .panel-body {\n border-bottom-color: #337ab7;\n}\n.panel-success {\n border-color: #d6e9c6;\n}\n.panel-success > .panel-heading {\n color: #3c763d;\n background-color: #dff0d8;\n border-color: #d6e9c6;\n}\n.panel-success > .panel-heading + .panel-collapse > .panel-body {\n border-top-color: #d6e9c6;\n}\n.panel-success > .panel-heading .badge {\n color: #dff0d8;\n background-color: #3c763d;\n}\n.panel-success > .panel-footer + .panel-collapse > .panel-body {\n border-bottom-color: #d6e9c6;\n}\n.panel-info {\n border-color: #bce8f1;\n}\n.panel-info > .panel-heading {\n color: #31708f;\n background-color: #d9edf7;\n border-color: #bce8f1;\n}\n.panel-info > .panel-heading + .panel-collapse > .panel-body {\n border-top-color: #bce8f1;\n}\n.panel-info > .panel-heading .badge {\n color: #d9edf7;\n background-color: #31708f;\n}\n.panel-info > .panel-footer + .panel-collapse > .panel-body {\n border-bottom-color: #bce8f1;\n}\n.panel-warning {\n border-color: #faebcc;\n}\n.panel-warning > .panel-heading {\n color: #8a6d3b;\n background-color: #fcf8e3;\n border-color: #faebcc;\n}\n.panel-warning > .panel-heading + .panel-collapse > .panel-body {\n border-top-color: #faebcc;\n}\n.panel-warning > .panel-heading .badge {\n color: #fcf8e3;\n background-color: #8a6d3b;\n}\n.panel-warning > .panel-footer + .panel-collapse > .panel-body {\n border-bottom-color: #faebcc;\n}\n.panel-danger {\n border-color: #ebccd1;\n}\n.panel-danger > .panel-heading {\n color: #a94442;\n background-color: #f2dede;\n border-color: #ebccd1;\n}\n.panel-danger > .panel-heading + .panel-collapse > .panel-body {\n border-top-color: #ebccd1;\n}\n.panel-danger > .panel-heading .badge {\n color: #f2dede;\n background-color: #a94442;\n}\n.panel-danger > .panel-footer + .panel-collapse > .panel-body {\n border-bottom-color: #ebccd1;\n}\n.embed-responsive {\n position: relative;\n display: block;\n height: 0;\n padding: 0;\n overflow: hidden;\n}\n.embed-responsive .embed-responsive-item,\n.embed-responsive iframe,\n.embed-responsive embed,\n.embed-responsive object,\n.embed-responsive video {\n position: absolute;\n top: 0;\n bottom: 0;\n left: 0;\n width: 100%;\n height: 100%;\n border: 0;\n}\n.embed-responsive-16by9 {\n padding-bottom: 56.25%;\n}\n.embed-responsive-4by3 {\n padding-bottom: 75%;\n}\n.well {\n min-height: 20px;\n padding: 19px;\n margin-bottom: 20px;\n background-color: #f5f5f5;\n border: 1px solid #e3e3e3;\n border-radius: 4px;\n -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);\n box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);\n}\n.well blockquote {\n border-color: #ddd;\n border-color: rgba(0, 0, 0, 0.15);\n}\n.well-lg {\n padding: 24px;\n border-radius: 6px;\n}\n.well-sm {\n padding: 9px;\n border-radius: 3px;\n}\n.close {\n float: right;\n font-size: 21px;\n font-weight: bold;\n line-height: 1;\n color: #000;\n text-shadow: 0 1px 0 #fff;\n filter: alpha(opacity=20);\n opacity: 0.2;\n}\n.close:hover,\n.close:focus {\n color: #000;\n text-decoration: none;\n cursor: pointer;\n filter: alpha(opacity=50);\n opacity: 0.5;\n}\nbutton.close {\n padding: 0;\n cursor: pointer;\n background: transparent;\n border: 0;\n -webkit-appearance: none;\n appearance: none;\n}\n.modal-open {\n overflow: hidden;\n}\n.modal {\n position: fixed;\n top: 0;\n right: 0;\n bottom: 0;\n left: 0;\n z-index: 1050;\n display: none;\n overflow: hidden;\n -webkit-overflow-scrolling: touch;\n outline: 0;\n}\n.modal.fade .modal-dialog {\n -webkit-transform: translate(0, -25%);\n -ms-transform: translate(0, -25%);\n -o-transform: translate(0, -25%);\n transform: translate(0, -25%);\n -webkit-transition: -webkit-transform 0.3s ease-out;\n -moz-transition: -moz-transform 0.3s ease-out;\n -o-transition: -o-transform 0.3s ease-out;\n transition: transform 0.3s ease-out;\n}\n.modal.in .modal-dialog {\n -webkit-transform: translate(0, 0);\n -ms-transform: translate(0, 0);\n -o-transform: translate(0, 0);\n transform: translate(0, 0);\n}\n.modal-open .modal {\n overflow-x: hidden;\n overflow-y: auto;\n}\n.modal-dialog {\n position: relative;\n width: auto;\n margin: 10px;\n}\n.modal-content {\n position: relative;\n background-color: #fff;\n background-clip: padding-box;\n border: 1px solid #999;\n border: 1px solid rgba(0, 0, 0, 0.2);\n border-radius: 6px;\n -webkit-box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);\n box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);\n outline: 0;\n}\n.modal-backdrop {\n position: fixed;\n top: 0;\n right: 0;\n bottom: 0;\n left: 0;\n z-index: 1040;\n background-color: #000;\n}\n.modal-backdrop.fade {\n filter: alpha(opacity=0);\n opacity: 0;\n}\n.modal-backdrop.in {\n filter: alpha(opacity=50);\n opacity: 0.5;\n}\n.modal-header {\n padding: 15px;\n border-bottom: 1px solid #e5e5e5;\n}\n.modal-header .close {\n margin-top: -2px;\n}\n.modal-title {\n margin: 0;\n line-height: 1.42857143;\n}\n.modal-body {\n position: relative;\n padding: 15px;\n}\n.modal-footer {\n padding: 15px;\n text-align: right;\n border-top: 1px solid #e5e5e5;\n}\n.modal-footer .btn + .btn {\n margin-bottom: 0;\n margin-left: 5px;\n}\n.modal-footer .btn-group .btn + .btn {\n margin-left: -1px;\n}\n.modal-footer .btn-block + .btn-block {\n margin-left: 0;\n}\n.modal-scrollbar-measure {\n position: absolute;\n top: -9999px;\n width: 50px;\n height: 50px;\n overflow: scroll;\n}\n@media (min-width: 768px) {\n .modal-dialog {\n width: 600px;\n margin: 30px auto;\n }\n .modal-content {\n -webkit-box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);\n box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);\n }\n .modal-sm {\n width: 300px;\n }\n}\n@media (min-width: 992px) {\n .modal-lg {\n width: 900px;\n }\n}\n.tooltip {\n position: absolute;\n z-index: 1070;\n display: block;\n font-family: \"Helvetica Neue\", Helvetica, Arial, sans-serif;\n font-style: normal;\n font-weight: 400;\n line-height: 1.42857143;\n line-break: auto;\n text-align: left;\n text-align: start;\n text-decoration: none;\n text-shadow: none;\n text-transform: none;\n letter-spacing: normal;\n word-break: normal;\n word-spacing: normal;\n word-wrap: normal;\n white-space: normal;\n font-size: 12px;\n filter: alpha(opacity=0);\n opacity: 0;\n}\n.tooltip.in {\n filter: alpha(opacity=90);\n opacity: 0.9;\n}\n.tooltip.top {\n padding: 5px 0;\n margin-top: -3px;\n}\n.tooltip.right {\n padding: 0 5px;\n margin-left: 3px;\n}\n.tooltip.bottom {\n padding: 5px 0;\n margin-top: 3px;\n}\n.tooltip.left {\n padding: 0 5px;\n margin-left: -3px;\n}\n.tooltip.top .tooltip-arrow {\n bottom: 0;\n left: 50%;\n margin-left: -5px;\n border-width: 5px 5px 0;\n border-top-color: #000;\n}\n.tooltip.top-left .tooltip-arrow {\n right: 5px;\n bottom: 0;\n margin-bottom: -5px;\n border-width: 5px 5px 0;\n border-top-color: #000;\n}\n.tooltip.top-right .tooltip-arrow {\n bottom: 0;\n left: 5px;\n margin-bottom: -5px;\n border-width: 5px 5px 0;\n border-top-color: #000;\n}\n.tooltip.right .tooltip-arrow {\n top: 50%;\n left: 0;\n margin-top: -5px;\n border-width: 5px 5px 5px 0;\n border-right-color: #000;\n}\n.tooltip.left .tooltip-arrow {\n top: 50%;\n right: 0;\n margin-top: -5px;\n border-width: 5px 0 5px 5px;\n border-left-color: #000;\n}\n.tooltip.bottom .tooltip-arrow {\n top: 0;\n left: 50%;\n margin-left: -5px;\n border-width: 0 5px 5px;\n border-bottom-color: #000;\n}\n.tooltip.bottom-left .tooltip-arrow {\n top: 0;\n right: 5px;\n margin-top: -5px;\n border-width: 0 5px 5px;\n border-bottom-color: #000;\n}\n.tooltip.bottom-right .tooltip-arrow {\n top: 0;\n left: 5px;\n margin-top: -5px;\n border-width: 0 5px 5px;\n border-bottom-color: #000;\n}\n.tooltip-inner {\n max-width: 200px;\n padding: 3px 8px;\n color: #fff;\n text-align: center;\n background-color: #000;\n border-radius: 4px;\n}\n.tooltip-arrow {\n position: absolute;\n width: 0;\n height: 0;\n border-color: transparent;\n border-style: solid;\n}\n.popover {\n position: absolute;\n top: 0;\n left: 0;\n z-index: 1060;\n display: none;\n max-width: 276px;\n padding: 1px;\n font-family: \"Helvetica Neue\", Helvetica, Arial, sans-serif;\n font-style: normal;\n font-weight: 400;\n line-height: 1.42857143;\n line-break: auto;\n text-align: left;\n text-align: start;\n text-decoration: none;\n text-shadow: none;\n text-transform: none;\n letter-spacing: normal;\n word-break: normal;\n word-spacing: normal;\n word-wrap: normal;\n white-space: normal;\n font-size: 14px;\n background-color: #fff;\n background-clip: padding-box;\n border: 1px solid #ccc;\n border: 1px solid rgba(0, 0, 0, 0.2);\n border-radius: 6px;\n -webkit-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);\n box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);\n}\n.popover.top {\n margin-top: -10px;\n}\n.popover.right {\n margin-left: 10px;\n}\n.popover.bottom {\n margin-top: 10px;\n}\n.popover.left {\n margin-left: -10px;\n}\n.popover > .arrow {\n border-width: 11px;\n}\n.popover > .arrow,\n.popover > .arrow:after {\n position: absolute;\n display: block;\n width: 0;\n height: 0;\n border-color: transparent;\n border-style: solid;\n}\n.popover > .arrow:after {\n content: \"\";\n border-width: 10px;\n}\n.popover.top > .arrow {\n bottom: -11px;\n left: 50%;\n margin-left: -11px;\n border-top-color: #999999;\n border-top-color: rgba(0, 0, 0, 0.25);\n border-bottom-width: 0;\n}\n.popover.top > .arrow:after {\n bottom: 1px;\n margin-left: -10px;\n content: \" \";\n border-top-color: #fff;\n border-bottom-width: 0;\n}\n.popover.right > .arrow {\n top: 50%;\n left: -11px;\n margin-top: -11px;\n border-right-color: #999999;\n border-right-color: rgba(0, 0, 0, 0.25);\n border-left-width: 0;\n}\n.popover.right > .arrow:after {\n bottom: -10px;\n left: 1px;\n content: \" \";\n border-right-color: #fff;\n border-left-width: 0;\n}\n.popover.bottom > .arrow {\n top: -11px;\n left: 50%;\n margin-left: -11px;\n border-top-width: 0;\n border-bottom-color: #999999;\n border-bottom-color: rgba(0, 0, 0, 0.25);\n}\n.popover.bottom > .arrow:after {\n top: 1px;\n margin-left: -10px;\n content: \" \";\n border-top-width: 0;\n border-bottom-color: #fff;\n}\n.popover.left > .arrow {\n top: 50%;\n right: -11px;\n margin-top: -11px;\n border-right-width: 0;\n border-left-color: #999999;\n border-left-color: rgba(0, 0, 0, 0.25);\n}\n.popover.left > .arrow:after {\n right: 1px;\n bottom: -10px;\n content: \" \";\n border-right-width: 0;\n border-left-color: #fff;\n}\n.popover-title {\n padding: 8px 14px;\n margin: 0;\n font-size: 14px;\n background-color: #f7f7f7;\n border-bottom: 1px solid #ebebeb;\n border-radius: 5px 5px 0 0;\n}\n.popover-content {\n padding: 9px 14px;\n}\n.carousel {\n position: relative;\n}\n.carousel-inner {\n position: relative;\n width: 100%;\n overflow: hidden;\n}\n.carousel-inner > .item {\n position: relative;\n display: none;\n -webkit-transition: 0.6s ease-in-out left;\n -o-transition: 0.6s ease-in-out left;\n transition: 0.6s ease-in-out left;\n}\n.carousel-inner > .item > img,\n.carousel-inner > .item > a > img {\n line-height: 1;\n}\n@media all and (transform-3d), (-webkit-transform-3d) {\n .carousel-inner > .item {\n -webkit-transition: -webkit-transform 0.6s ease-in-out;\n -moz-transition: -moz-transform 0.6s ease-in-out;\n -o-transition: -o-transform 0.6s ease-in-out;\n transition: transform 0.6s ease-in-out;\n -webkit-backface-visibility: hidden;\n -moz-backface-visibility: hidden;\n backface-visibility: hidden;\n -webkit-perspective: 1000px;\n -moz-perspective: 1000px;\n perspective: 1000px;\n }\n .carousel-inner > .item.next,\n .carousel-inner > .item.active.right {\n -webkit-transform: translate3d(100%, 0, 0);\n transform: translate3d(100%, 0, 0);\n left: 0;\n }\n .carousel-inner > .item.prev,\n .carousel-inner > .item.active.left {\n -webkit-transform: translate3d(-100%, 0, 0);\n transform: translate3d(-100%, 0, 0);\n left: 0;\n }\n .carousel-inner > .item.next.left,\n .carousel-inner > .item.prev.right,\n .carousel-inner > .item.active {\n -webkit-transform: translate3d(0, 0, 0);\n transform: translate3d(0, 0, 0);\n left: 0;\n }\n}\n.carousel-inner > .active,\n.carousel-inner > .next,\n.carousel-inner > .prev {\n display: block;\n}\n.carousel-inner > .active {\n left: 0;\n}\n.carousel-inner > .next,\n.carousel-inner > .prev {\n position: absolute;\n top: 0;\n width: 100%;\n}\n.carousel-inner > .next {\n left: 100%;\n}\n.carousel-inner > .prev {\n left: -100%;\n}\n.carousel-inner > .next.left,\n.carousel-inner > .prev.right {\n left: 0;\n}\n.carousel-inner > .active.left {\n left: -100%;\n}\n.carousel-inner > .active.right {\n left: 100%;\n}\n.carousel-control {\n position: absolute;\n top: 0;\n bottom: 0;\n left: 0;\n width: 15%;\n font-size: 20px;\n color: #fff;\n text-align: center;\n text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);\n background-color: rgba(0, 0, 0, 0);\n filter: alpha(opacity=50);\n opacity: 0.5;\n}\n.carousel-control.left {\n background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);\n background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);\n background-image: linear-gradient(to right, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#80000000', endColorstr='#00000000', GradientType=1);\n background-repeat: repeat-x;\n}\n.carousel-control.right {\n right: 0;\n left: auto;\n background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);\n background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);\n background-image: linear-gradient(to right, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);\n filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#00000000', endColorstr='#80000000', GradientType=1);\n background-repeat: repeat-x;\n}\n.carousel-control:hover,\n.carousel-control:focus {\n color: #fff;\n text-decoration: none;\n outline: 0;\n filter: alpha(opacity=90);\n opacity: 0.9;\n}\n.carousel-control .icon-prev,\n.carousel-control .icon-next,\n.carousel-control .glyphicon-chevron-left,\n.carousel-control .glyphicon-chevron-right {\n position: absolute;\n top: 50%;\n z-index: 5;\n display: inline-block;\n margin-top: -10px;\n}\n.carousel-control .icon-prev,\n.carousel-control .glyphicon-chevron-left {\n left: 50%;\n margin-left: -10px;\n}\n.carousel-control .icon-next,\n.carousel-control .glyphicon-chevron-right {\n right: 50%;\n margin-right: -10px;\n}\n.carousel-control .icon-prev,\n.carousel-control .icon-next {\n width: 20px;\n height: 20px;\n font-family: serif;\n line-height: 1;\n}\n.carousel-control .icon-prev:before {\n content: \"\\2039\";\n}\n.carousel-control .icon-next:before {\n content: \"\\203a\";\n}\n.carousel-indicators {\n position: absolute;\n bottom: 10px;\n left: 50%;\n z-index: 15;\n width: 60%;\n padding-left: 0;\n margin-left: -30%;\n text-align: center;\n list-style: none;\n}\n.carousel-indicators li {\n display: inline-block;\n width: 10px;\n height: 10px;\n margin: 1px;\n text-indent: -999px;\n cursor: pointer;\n background-color: #000 \\9;\n background-color: rgba(0, 0, 0, 0);\n border: 1px solid #fff;\n border-radius: 10px;\n}\n.carousel-indicators .active {\n width: 12px;\n height: 12px;\n margin: 0;\n background-color: #fff;\n}\n.carousel-caption {\n position: absolute;\n right: 15%;\n bottom: 20px;\n left: 15%;\n z-index: 10;\n padding-top: 20px;\n padding-bottom: 20px;\n color: #fff;\n text-align: center;\n text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);\n}\n.carousel-caption .btn {\n text-shadow: none;\n}\n@media screen and (min-width: 768px) {\n .carousel-control .glyphicon-chevron-left,\n .carousel-control .glyphicon-chevron-right,\n .carousel-control .icon-prev,\n .carousel-control .icon-next {\n width: 30px;\n height: 30px;\n margin-top: -10px;\n font-size: 30px;\n }\n .carousel-control .glyphicon-chevron-left,\n .carousel-control .icon-prev {\n margin-left: -10px;\n }\n .carousel-control .glyphicon-chevron-right,\n .carousel-control .icon-next {\n margin-right: -10px;\n }\n .carousel-caption {\n right: 20%;\n left: 20%;\n padding-bottom: 30px;\n }\n .carousel-indicators {\n bottom: 20px;\n }\n}\n.clearfix:before,\n.clearfix:after,\n.dl-horizontal dd:before,\n.dl-horizontal dd:after,\n.container:before,\n.container:after,\n.container-fluid:before,\n.container-fluid:after,\n.row:before,\n.row:after,\n.form-horizontal .form-group:before,\n.form-horizontal .form-group:after,\n.btn-toolbar:before,\n.btn-toolbar:after,\n.btn-group-vertical > .btn-group:before,\n.btn-group-vertical > .btn-group:after,\n.nav:before,\n.nav:after,\n.navbar:before,\n.navbar:after,\n.navbar-header:before,\n.navbar-header:after,\n.navbar-collapse:before,\n.navbar-collapse:after,\n.pager:before,\n.pager:after,\n.panel-body:before,\n.panel-body:after,\n.modal-header:before,\n.modal-header:after,\n.modal-footer:before,\n.modal-footer:after {\n display: table;\n content: \" \";\n}\n.clearfix:after,\n.dl-horizontal dd:after,\n.container:after,\n.container-fluid:after,\n.row:after,\n.form-horizontal .form-group:after,\n.btn-toolbar:after,\n.btn-group-vertical > .btn-group:after,\n.nav:after,\n.navbar:after,\n.navbar-header:after,\n.navbar-collapse:after,\n.pager:after,\n.panel-body:after,\n.modal-header:after,\n.modal-footer:after {\n clear: both;\n}\n.center-block {\n display: block;\n margin-right: auto;\n margin-left: auto;\n}\n.pull-right {\n float: right !important;\n}\n.pull-left {\n float: left !important;\n}\n.hide {\n display: none !important;\n}\n.show {\n display: block !important;\n}\n.invisible {\n visibility: hidden;\n}\n.text-hide {\n font: 0/0 a;\n color: transparent;\n text-shadow: none;\n background-color: transparent;\n border: 0;\n}\n.hidden {\n display: none !important;\n}\n.affix {\n position: fixed;\n}\n@-ms-viewport {\n width: device-width;\n}\n.visible-xs,\n.visible-sm,\n.visible-md,\n.visible-lg {\n display: none !important;\n}\n.visible-xs-block,\n.visible-xs-inline,\n.visible-xs-inline-block,\n.visible-sm-block,\n.visible-sm-inline,\n.visible-sm-inline-block,\n.visible-md-block,\n.visible-md-inline,\n.visible-md-inline-block,\n.visible-lg-block,\n.visible-lg-inline,\n.visible-lg-inline-block {\n display: none !important;\n}\n@media (max-width: 767px) {\n .visible-xs {\n display: block !important;\n }\n table.visible-xs {\n display: table !important;\n }\n tr.visible-xs {\n display: table-row !important;\n }\n th.visible-xs,\n td.visible-xs {\n display: table-cell !important;\n }\n}\n@media (max-width: 767px) {\n .visible-xs-block {\n display: block !important;\n }\n}\n@media (max-width: 767px) {\n .visible-xs-inline {\n display: inline !important;\n }\n}\n@media (max-width: 767px) {\n .visible-xs-inline-block {\n display: inline-block !important;\n }\n}\n@media (min-width: 768px) and (max-width: 991px) {\n .visible-sm {\n display: block !important;\n }\n table.visible-sm {\n display: table !important;\n }\n tr.visible-sm {\n display: table-row !important;\n }\n th.visible-sm,\n td.visible-sm {\n display: table-cell !important;\n }\n}\n@media (min-width: 768px) and (max-width: 991px) {\n .visible-sm-block {\n display: block !important;\n }\n}\n@media (min-width: 768px) and (max-width: 991px) {\n .visible-sm-inline {\n display: inline !important;\n }\n}\n@media (min-width: 768px) and (max-width: 991px) {\n .visible-sm-inline-block {\n display: inline-block !important;\n }\n}\n@media (min-width: 992px) and (max-width: 1199px) {\n .visible-md {\n display: block !important;\n }\n table.visible-md {\n display: table !important;\n }\n tr.visible-md {\n display: table-row !important;\n }\n th.visible-md,\n td.visible-md {\n display: table-cell !important;\n }\n}\n@media (min-width: 992px) and (max-width: 1199px) {\n .visible-md-block {\n display: block !important;\n }\n}\n@media (min-width: 992px) and (max-width: 1199px) {\n .visible-md-inline {\n display: inline !important;\n }\n}\n@media (min-width: 992px) and (max-width: 1199px) {\n .visible-md-inline-block {\n display: inline-block !important;\n }\n}\n@media (min-width: 1200px) {\n .visible-lg {\n display: block !important;\n }\n table.visible-lg {\n display: table !important;\n }\n tr.visible-lg {\n display: table-row !important;\n }\n th.visible-lg,\n td.visible-lg {\n display: table-cell !important;\n }\n}\n@media (min-width: 1200px) {\n .visible-lg-block {\n display: block !important;\n }\n}\n@media (min-width: 1200px) {\n .visible-lg-inline {\n display: inline !important;\n }\n}\n@media (min-width: 1200px) {\n .visible-lg-inline-block {\n display: inline-block !important;\n }\n}\n@media (max-width: 767px) {\n .hidden-xs {\n display: none !important;\n }\n}\n@media (min-width: 768px) and (max-width: 991px) {\n .hidden-sm {\n display: none !important;\n }\n}\n@media (min-width: 992px) and (max-width: 1199px) {\n .hidden-md {\n display: none !important;\n }\n}\n@media (min-width: 1200px) {\n .hidden-lg {\n display: none !important;\n }\n}\n.visible-print {\n display: none !important;\n}\n@media print {\n .visible-print {\n display: block !important;\n }\n table.visible-print {\n display: table !important;\n }\n tr.visible-print {\n display: table-row !important;\n }\n th.visible-print,\n td.visible-print {\n display: table-cell !important;\n }\n}\n.visible-print-block {\n display: none !important;\n}\n@media print {\n .visible-print-block {\n display: block !important;\n }\n}\n.visible-print-inline {\n display: none !important;\n}\n@media print {\n .visible-print-inline {\n display: inline !important;\n }\n}\n.visible-print-inline-block {\n display: none !important;\n}\n@media print {\n .visible-print-inline-block {\n display: inline-block !important;\n }\n}\n@media print {\n .hidden-print {\n display: none !important;\n }\n}\n/*# sourceMappingURL=bootstrap.css.map */","// stylelint-disable\n\n/*! normalize.css v3.0.3 | MIT License | github.com/necolas/normalize.css */\n\n//\n// 1. Set default font family to sans-serif.\n// 2. Prevent iOS and IE text size adjust after device orientation change,\n// without disabling user zoom.\n//\n\nhtml {\n font-family: sans-serif; // 1\n -ms-text-size-adjust: 100%; // 2\n -webkit-text-size-adjust: 100%; // 2\n}\n\n//\n// Remove default margin.\n//\n\nbody {\n margin: 0;\n}\n\n// HTML5 display definitions\n// ==========================================================================\n\n//\n// Correct `block` display not defined for any HTML5 element in IE 8/9.\n// Correct `block` display not defined for `details` or `summary` in IE 10/11\n// and Firefox.\n// Correct `block` display not defined for `main` in IE 11.\n//\n\narticle,\naside,\ndetails,\nfigcaption,\nfigure,\nfooter,\nheader,\nhgroup,\nmain,\nmenu,\nnav,\nsection,\nsummary {\n display: block;\n}\n\n//\n// 1. Correct `inline-block` display not defined in IE 8/9.\n// 2. Normalize vertical alignment of `progress` in Chrome, Firefox, and Opera.\n//\n\naudio,\ncanvas,\nprogress,\nvideo {\n display: inline-block; // 1\n vertical-align: baseline; // 2\n}\n\n//\n// Prevent modern browsers from displaying `audio` without controls.\n// Remove excess height in iOS 5 devices.\n//\n\naudio:not([controls]) {\n display: none;\n height: 0;\n}\n\n//\n// Address `[hidden]` styling not present in IE 8/9/10.\n// Hide the `template` element in IE 8/9/10/11, Safari, and Firefox < 22.\n//\n\n[hidden],\ntemplate {\n display: none;\n}\n\n// Links\n// ==========================================================================\n\n//\n// Remove the gray background color from active links in IE 10.\n//\n\na {\n background-color: transparent;\n}\n\n//\n// Improve readability of focused elements when they are also in an\n// active/hover state.\n//\n\na:active,\na:hover {\n outline: 0;\n}\n\n// Text-level semantics\n// ==========================================================================\n\n//\n// 1. Remove the bottom border in Chrome 57- and Firefox 39-.\n// 2. Add the correct text decoration in Chrome, Edge, IE, Opera, and Safari.\n//\n\nabbr[title] {\n border-bottom: none; // 1\n text-decoration: underline; // 2\n text-decoration: underline dotted; // 2\n}\n\n//\n// Address style set to `bolder` in Firefox 4+, Safari, and Chrome.\n//\n\nb,\nstrong {\n font-weight: bold;\n}\n\n//\n// Address styling not present in Safari and Chrome.\n//\n\ndfn {\n font-style: italic;\n}\n\n//\n// Address variable `h1` font-size and margin within `section` and `article`\n// contexts in Firefox 4+, Safari, and Chrome.\n//\n\nh1 {\n font-size: 2em;\n margin: 0.67em 0;\n}\n\n//\n// Address styling not present in IE 8/9.\n//\n\nmark {\n background: #ff0;\n color: #000;\n}\n\n//\n// Address inconsistent and variable font size in all browsers.\n//\n\nsmall {\n font-size: 80%;\n}\n\n//\n// Prevent `sub` and `sup` affecting `line-height` in all browsers.\n//\n\nsub,\nsup {\n font-size: 75%;\n line-height: 0;\n position: relative;\n vertical-align: baseline;\n}\n\nsup {\n top: -0.5em;\n}\n\nsub {\n bottom: -0.25em;\n}\n\n// Embedded content\n// ==========================================================================\n\n//\n// Remove border when inside `a` element in IE 8/9/10.\n//\n\nimg {\n border: 0;\n}\n\n//\n// Correct overflow not hidden in IE 9/10/11.\n//\n\nsvg:not(:root) {\n overflow: hidden;\n}\n\n// Grouping content\n// ==========================================================================\n\n//\n// Address margin not present in IE 8/9 and Safari.\n//\n\nfigure {\n margin: 1em 40px;\n}\n\n//\n// Address differences between Firefox and other browsers.\n//\n\nhr {\n box-sizing: content-box;\n height: 0;\n}\n\n//\n// Contain overflow in all browsers.\n//\n\npre {\n overflow: auto;\n}\n\n//\n// Address odd `em`-unit font size rendering in all browsers.\n//\n\ncode,\nkbd,\npre,\nsamp {\n font-family: monospace, monospace;\n font-size: 1em;\n}\n\n// Forms\n// ==========================================================================\n\n//\n// Known limitation: by default, Chrome and Safari on OS X allow very limited\n// styling of `select`, unless a `border` property is set.\n//\n\n//\n// 1. Correct color not being inherited.\n// Known issue: affects color of disabled elements.\n// 2. Correct font properties not being inherited.\n// 3. Address margins set differently in Firefox 4+, Safari, and Chrome.\n//\n\nbutton,\ninput,\noptgroup,\nselect,\ntextarea {\n color: inherit; // 1\n font: inherit; // 2\n margin: 0; // 3\n}\n\n//\n// Address `overflow` set to `hidden` in IE 8/9/10/11.\n//\n\nbutton {\n overflow: visible;\n}\n\n//\n// Address inconsistent `text-transform` inheritance for `button` and `select`.\n// All other form control elements do not inherit `text-transform` values.\n// Correct `button` style inheritance in Firefox, IE 8/9/10/11, and Opera.\n// Correct `select` style inheritance in Firefox.\n//\n\nbutton,\nselect {\n text-transform: none;\n}\n\n//\n// 1. Avoid the WebKit bug in Android 4.0.* where (2) destroys native `audio`\n// and `video` controls.\n// 2. Correct inability to style clickable `input` types in iOS.\n// 3. Improve usability and consistency of cursor style between image-type\n// `input` and others.\n//\n\nbutton,\nhtml input[type=\"button\"], // 1\ninput[type=\"reset\"],\ninput[type=\"submit\"] {\n -webkit-appearance: button; // 2\n cursor: pointer; // 3\n}\n\n//\n// Re-set default cursor for disabled elements.\n//\n\nbutton[disabled],\nhtml input[disabled] {\n cursor: default;\n}\n\n//\n// Remove inner padding and border in Firefox 4+.\n//\n\nbutton::-moz-focus-inner,\ninput::-moz-focus-inner {\n border: 0;\n padding: 0;\n}\n\n//\n// Address Firefox 4+ setting `line-height` on `input` using `!important` in\n// the UA stylesheet.\n//\n\ninput {\n line-height: normal;\n}\n\n//\n// It's recommended that you don't attempt to style these elements.\n// Firefox's implementation doesn't respect box-sizing, padding, or width.\n//\n// 1. Address box sizing set to `content-box` in IE 8/9/10.\n// 2. Remove excess padding in IE 8/9/10.\n//\n\ninput[type=\"checkbox\"],\ninput[type=\"radio\"] {\n box-sizing: border-box; // 1\n padding: 0; // 2\n}\n\n//\n// Fix the cursor style for Chrome's increment/decrement buttons. For certain\n// `font-size` values of the `input`, it causes the cursor style of the\n// decrement button to change from `default` to `text`.\n//\n\ninput[type=\"number\"]::-webkit-inner-spin-button,\ninput[type=\"number\"]::-webkit-outer-spin-button {\n height: auto;\n}\n\n//\n// 1. Address `appearance` set to `searchfield` in Safari and Chrome.\n// 2. Address `box-sizing` set to `border-box` in Safari and Chrome.\n//\n\ninput[type=\"search\"] {\n -webkit-appearance: textfield; // 1\n box-sizing: content-box; //2\n}\n\n//\n// Remove inner padding and search cancel button in Safari and Chrome on OS X.\n// Safari (but not Chrome) clips the cancel button when the search input has\n// padding (and `textfield` appearance).\n//\n\ninput[type=\"search\"]::-webkit-search-cancel-button,\ninput[type=\"search\"]::-webkit-search-decoration {\n -webkit-appearance: none;\n}\n\n//\n// Define consistent border, margin, and padding.\n//\n\nfieldset {\n border: 1px solid #c0c0c0;\n margin: 0 2px;\n padding: 0.35em 0.625em 0.75em;\n}\n\n//\n// 1. Correct `color` not being inherited in IE 8/9/10/11.\n// 2. Remove padding so people aren't caught out if they zero out fieldsets.\n//\n\nlegend {\n border: 0; // 1\n padding: 0; // 2\n}\n\n//\n// Remove default vertical scrollbar in IE 8/9/10/11.\n//\n\ntextarea {\n overflow: auto;\n}\n\n//\n// Don't inherit the `font-weight` (applied by a rule above).\n// NOTE: the default cannot safely be changed in Chrome and Safari on OS X.\n//\n\noptgroup {\n font-weight: bold;\n}\n\n// Tables\n// ==========================================================================\n\n//\n// Remove most spacing between table cells.\n//\n\ntable {\n border-collapse: collapse;\n border-spacing: 0;\n}\n\ntd,\nth {\n padding: 0;\n}\n","// stylelint-disable declaration-no-important, selector-no-qualifying-type\n\n/*! Source: https://github.com/h5bp/html5-boilerplate/blob/master/src/css/main.css */\n\n// ==========================================================================\n// Print styles.\n// Inlined to avoid the additional HTTP request: h5bp.com/r\n// ==========================================================================\n\n@media print {\n *,\n *:before,\n *:after {\n color: #000 !important; // Black prints faster: h5bp.com/s\n text-shadow: none !important;\n background: transparent !important;\n box-shadow: none !important;\n }\n\n a,\n a:visited {\n text-decoration: underline;\n }\n\n a[href]:after {\n content: \" (\" attr(href) \")\";\n }\n\n abbr[title]:after {\n content: \" (\" attr(title) \")\";\n }\n\n // Don't show links that are fragment identifiers,\n // or use the `javascript:` pseudo protocol\n a[href^=\"#\"]:after,\n a[href^=\"javascript:\"]:after {\n content: \"\";\n }\n\n pre,\n blockquote {\n border: 1px solid #999;\n page-break-inside: avoid;\n }\n\n thead {\n display: table-header-group; // h5bp.com/t\n }\n\n tr,\n img {\n page-break-inside: avoid;\n }\n\n img {\n max-width: 100% !important;\n }\n\n p,\n h2,\n h3 {\n orphans: 3;\n widows: 3;\n }\n\n h2,\n h3 {\n page-break-after: avoid;\n }\n\n // Bootstrap specific changes start\n\n // Bootstrap components\n .navbar {\n display: none;\n }\n .btn,\n .dropup > .btn {\n > .caret {\n border-top-color: #000 !important;\n }\n }\n .label {\n border: 1px solid #000;\n }\n\n .table {\n border-collapse: collapse !important;\n\n td,\n th {\n background-color: #fff !important;\n }\n }\n .table-bordered {\n th,\n td {\n border: 1px solid #ddd !important;\n }\n }\n}\n","// stylelint-disable value-list-comma-newline-after, value-list-comma-space-after, indentation, declaration-colon-newline-after, font-family-no-missing-generic-family-keyword\n\n//\n// Glyphicons for Bootstrap\n//\n// Since icons are fonts, they can be placed anywhere text is placed and are\n// thus automatically sized to match the surrounding child. To use, create an\n// inline element with the appropriate classes, like so:\n//\n// Star\n\n// Import the fonts\n@font-face {\n font-family: \"Glyphicons Halflings\";\n src: url(\"@{icon-font-path}@{icon-font-name}.eot\");\n src: url(\"@{icon-font-path}@{icon-font-name}.eot?#iefix\") format(\"embedded-opentype\"),\n url(\"@{icon-font-path}@{icon-font-name}.woff2\") format(\"woff2\"),\n url(\"@{icon-font-path}@{icon-font-name}.woff\") format(\"woff\"),\n url(\"@{icon-font-path}@{icon-font-name}.ttf\") format(\"truetype\"),\n url(\"@{icon-font-path}@{icon-font-name}.svg#@{icon-font-svg-id}\") format(\"svg\");\n}\n\n// Catchall baseclass\n.glyphicon {\n position: relative;\n top: 1px;\n display: inline-block;\n font-family: \"Glyphicons Halflings\";\n font-style: normal;\n font-weight: 400;\n line-height: 1;\n -webkit-font-smoothing: antialiased;\n -moz-osx-font-smoothing: grayscale;\n}\n\n// Individual icons\n.glyphicon-asterisk { &:before { content: \"\\002a\"; } }\n.glyphicon-plus { &:before { content: \"\\002b\"; } }\n.glyphicon-euro,\n.glyphicon-eur { &:before { content: \"\\20ac\"; } }\n.glyphicon-minus { &:before { content: \"\\2212\"; } }\n.glyphicon-cloud { &:before { content: \"\\2601\"; } }\n.glyphicon-envelope { &:before { content: \"\\2709\"; } }\n.glyphicon-pencil { &:before { content: \"\\270f\"; } }\n.glyphicon-glass { &:before { content: \"\\e001\"; } }\n.glyphicon-music { &:before { content: \"\\e002\"; } }\n.glyphicon-search { &:before { content: \"\\e003\"; } }\n.glyphicon-heart { &:before { content: \"\\e005\"; } }\n.glyphicon-star { &:before { content: \"\\e006\"; } }\n.glyphicon-star-empty { &:before { content: \"\\e007\"; } }\n.glyphicon-user { &:before { content: \"\\e008\"; } }\n.glyphicon-film { &:before { content: \"\\e009\"; } }\n.glyphicon-th-large { &:before { content: \"\\e010\"; } }\n.glyphicon-th { &:before { content: \"\\e011\"; } }\n.glyphicon-th-list { &:before { content: \"\\e012\"; } }\n.glyphicon-ok { &:before { content: \"\\e013\"; } }\n.glyphicon-remove { &:before { content: \"\\e014\"; } }\n.glyphicon-zoom-in { &:before { content: \"\\e015\"; } }\n.glyphicon-zoom-out { &:before { content: \"\\e016\"; } }\n.glyphicon-off { &:before { content: \"\\e017\"; } }\n.glyphicon-signal { &:before { content: \"\\e018\"; } }\n.glyphicon-cog { &:before { content: \"\\e019\"; } }\n.glyphicon-trash { &:before { content: \"\\e020\"; } }\n.glyphicon-home { &:before { content: \"\\e021\"; } }\n.glyphicon-file { &:before { content: \"\\e022\"; } }\n.glyphicon-time { &:before { content: \"\\e023\"; } }\n.glyphicon-road { &:before { content: \"\\e024\"; } }\n.glyphicon-download-alt { &:before { content: \"\\e025\"; } }\n.glyphicon-download { &:before { content: \"\\e026\"; } }\n.glyphicon-upload { &:before { content: \"\\e027\"; } }\n.glyphicon-inbox { &:before { content: \"\\e028\"; } }\n.glyphicon-play-circle { &:before { content: \"\\e029\"; } }\n.glyphicon-repeat { &:before { content: \"\\e030\"; } }\n.glyphicon-refresh { &:before { content: \"\\e031\"; } }\n.glyphicon-list-alt { &:before { content: \"\\e032\"; } }\n.glyphicon-lock { &:before { content: \"\\e033\"; } }\n.glyphicon-flag { &:before { content: \"\\e034\"; } }\n.glyphicon-headphones { &:before { content: \"\\e035\"; } }\n.glyphicon-volume-off { &:before { content: \"\\e036\"; } }\n.glyphicon-volume-down { &:before { content: \"\\e037\"; } }\n.glyphicon-volume-up { &:before { content: \"\\e038\"; } }\n.glyphicon-qrcode { &:before { content: \"\\e039\"; } }\n.glyphicon-barcode { &:before { content: \"\\e040\"; } }\n.glyphicon-tag { &:before { content: \"\\e041\"; } }\n.glyphicon-tags { &:before { content: \"\\e042\"; } }\n.glyphicon-book { &:before { content: \"\\e043\"; } }\n.glyphicon-bookmark { &:before { content: \"\\e044\"; } }\n.glyphicon-print { &:before { content: \"\\e045\"; } }\n.glyphicon-camera { &:before { content: \"\\e046\"; } }\n.glyphicon-font { &:before { content: \"\\e047\"; } }\n.glyphicon-bold { &:before { content: \"\\e048\"; } }\n.glyphicon-italic { &:before { content: \"\\e049\"; } }\n.glyphicon-text-height { &:before { content: \"\\e050\"; } }\n.glyphicon-text-width { &:before { content: \"\\e051\"; } }\n.glyphicon-align-left { &:before { content: \"\\e052\"; } }\n.glyphicon-align-center { &:before { content: \"\\e053\"; } }\n.glyphicon-align-right { &:before { content: \"\\e054\"; } }\n.glyphicon-align-justify { &:before { content: \"\\e055\"; } }\n.glyphicon-list { &:before { content: \"\\e056\"; } }\n.glyphicon-indent-left { &:before { content: \"\\e057\"; } }\n.glyphicon-indent-right { &:before { content: \"\\e058\"; } }\n.glyphicon-facetime-video { &:before { content: \"\\e059\"; } }\n.glyphicon-picture { &:before { content: \"\\e060\"; } }\n.glyphicon-map-marker { &:before { content: \"\\e062\"; } }\n.glyphicon-adjust { &:before { content: \"\\e063\"; } }\n.glyphicon-tint { &:before { content: \"\\e064\"; } }\n.glyphicon-edit { &:before { content: \"\\e065\"; } }\n.glyphicon-share { &:before { content: \"\\e066\"; } }\n.glyphicon-check { &:before { content: \"\\e067\"; } }\n.glyphicon-move { &:before { content: \"\\e068\"; } }\n.glyphicon-step-backward { &:before { content: \"\\e069\"; } }\n.glyphicon-fast-backward { &:before { content: \"\\e070\"; } }\n.glyphicon-backward { &:before { content: \"\\e071\"; } }\n.glyphicon-play { &:before { content: \"\\e072\"; } }\n.glyphicon-pause { &:before { content: \"\\e073\"; } }\n.glyphicon-stop { &:before { content: \"\\e074\"; } }\n.glyphicon-forward { &:before { content: \"\\e075\"; } }\n.glyphicon-fast-forward { &:before { content: \"\\e076\"; } }\n.glyphicon-step-forward { &:before { content: \"\\e077\"; } }\n.glyphicon-eject { &:before { content: \"\\e078\"; } }\n.glyphicon-chevron-left { &:before { content: \"\\e079\"; } }\n.glyphicon-chevron-right { &:before { content: \"\\e080\"; } }\n.glyphicon-plus-sign { &:before { content: \"\\e081\"; } }\n.glyphicon-minus-sign { &:before { content: \"\\e082\"; } }\n.glyphicon-remove-sign { &:before { content: \"\\e083\"; } }\n.glyphicon-ok-sign { &:before { content: \"\\e084\"; } }\n.glyphicon-question-sign { &:before { content: \"\\e085\"; } }\n.glyphicon-info-sign { &:before { content: \"\\e086\"; } }\n.glyphicon-screenshot { &:before { content: \"\\e087\"; } }\n.glyphicon-remove-circle { &:before { content: \"\\e088\"; } }\n.glyphicon-ok-circle { &:before { content: \"\\e089\"; } }\n.glyphicon-ban-circle { &:before { content: \"\\e090\"; } }\n.glyphicon-arrow-left { &:before { content: \"\\e091\"; } }\n.glyphicon-arrow-right { &:before { content: \"\\e092\"; } }\n.glyphicon-arrow-up { &:before { content: \"\\e093\"; } }\n.glyphicon-arrow-down { &:before { content: \"\\e094\"; } }\n.glyphicon-share-alt { &:before { content: \"\\e095\"; } }\n.glyphicon-resize-full { &:before { content: \"\\e096\"; } }\n.glyphicon-resize-small { &:before { content: \"\\e097\"; } }\n.glyphicon-exclamation-sign { &:before { content: \"\\e101\"; } }\n.glyphicon-gift { &:before { content: \"\\e102\"; } }\n.glyphicon-leaf { &:before { content: \"\\e103\"; } }\n.glyphicon-fire { &:before { content: \"\\e104\"; } }\n.glyphicon-eye-open { &:before { content: \"\\e105\"; } }\n.glyphicon-eye-close { &:before { content: \"\\e106\"; } }\n.glyphicon-warning-sign { &:before { content: \"\\e107\"; } }\n.glyphicon-plane { &:before { content: \"\\e108\"; } }\n.glyphicon-calendar { &:before { content: \"\\e109\"; } }\n.glyphicon-random { &:before { content: \"\\e110\"; } }\n.glyphicon-comment { &:before { content: \"\\e111\"; } }\n.glyphicon-magnet { &:before { content: \"\\e112\"; } }\n.glyphicon-chevron-up { &:before { content: \"\\e113\"; } }\n.glyphicon-chevron-down { &:before { content: \"\\e114\"; } }\n.glyphicon-retweet { &:before { content: \"\\e115\"; } }\n.glyphicon-shopping-cart { &:before { content: \"\\e116\"; } }\n.glyphicon-folder-close { &:before { content: \"\\e117\"; } }\n.glyphicon-folder-open { &:before { content: \"\\e118\"; } }\n.glyphicon-resize-vertical { &:before { content: \"\\e119\"; } }\n.glyphicon-resize-horizontal { &:before { content: \"\\e120\"; } }\n.glyphicon-hdd { &:before { content: \"\\e121\"; } }\n.glyphicon-bullhorn { &:before { content: \"\\e122\"; } }\n.glyphicon-bell { &:before { content: \"\\e123\"; } }\n.glyphicon-certificate { &:before { content: \"\\e124\"; } }\n.glyphicon-thumbs-up { &:before { content: \"\\e125\"; } }\n.glyphicon-thumbs-down { &:before { content: \"\\e126\"; } }\n.glyphicon-hand-right { &:before { content: \"\\e127\"; } }\n.glyphicon-hand-left { &:before { content: \"\\e128\"; } }\n.glyphicon-hand-up { &:before { content: \"\\e129\"; } }\n.glyphicon-hand-down { &:before { content: \"\\e130\"; } }\n.glyphicon-circle-arrow-right { &:before { content: \"\\e131\"; } }\n.glyphicon-circle-arrow-left { &:before { content: \"\\e132\"; } }\n.glyphicon-circle-arrow-up { &:before { content: \"\\e133\"; } }\n.glyphicon-circle-arrow-down { &:before { content: \"\\e134\"; } }\n.glyphicon-globe { &:before { content: \"\\e135\"; } }\n.glyphicon-wrench { &:before { content: \"\\e136\"; } }\n.glyphicon-tasks { &:before { content: \"\\e137\"; } }\n.glyphicon-filter { &:before { content: \"\\e138\"; } }\n.glyphicon-briefcase { &:before { content: \"\\e139\"; } }\n.glyphicon-fullscreen { &:before { content: \"\\e140\"; } }\n.glyphicon-dashboard { &:before { content: \"\\e141\"; } }\n.glyphicon-paperclip { &:before { content: \"\\e142\"; } }\n.glyphicon-heart-empty { &:before { content: \"\\e143\"; } }\n.glyphicon-link { &:before { content: \"\\e144\"; } }\n.glyphicon-phone { &:before { content: \"\\e145\"; } }\n.glyphicon-pushpin { &:before { content: \"\\e146\"; } }\n.glyphicon-usd { &:before { content: \"\\e148\"; } }\n.glyphicon-gbp { &:before { content: \"\\e149\"; } }\n.glyphicon-sort { &:before { content: \"\\e150\"; } }\n.glyphicon-sort-by-alphabet { &:before { content: \"\\e151\"; } }\n.glyphicon-sort-by-alphabet-alt { &:before { content: \"\\e152\"; } }\n.glyphicon-sort-by-order { &:before { content: \"\\e153\"; } }\n.glyphicon-sort-by-order-alt { &:before { content: \"\\e154\"; } }\n.glyphicon-sort-by-attributes { &:before { content: \"\\e155\"; } }\n.glyphicon-sort-by-attributes-alt { &:before { content: \"\\e156\"; } }\n.glyphicon-unchecked { &:before { content: \"\\e157\"; } }\n.glyphicon-expand { &:before { content: \"\\e158\"; } }\n.glyphicon-collapse-down { &:before { content: \"\\e159\"; } }\n.glyphicon-collapse-up { &:before { content: \"\\e160\"; } }\n.glyphicon-log-in { &:before { content: \"\\e161\"; } }\n.glyphicon-flash { &:before { content: \"\\e162\"; } }\n.glyphicon-log-out { &:before { content: \"\\e163\"; } }\n.glyphicon-new-window { &:before { content: \"\\e164\"; } }\n.glyphicon-record { &:before { content: \"\\e165\"; } }\n.glyphicon-save { &:before { content: \"\\e166\"; } }\n.glyphicon-open { &:before { content: \"\\e167\"; } }\n.glyphicon-saved { &:before { content: \"\\e168\"; } }\n.glyphicon-import { &:before { content: \"\\e169\"; } }\n.glyphicon-export { &:before { content: \"\\e170\"; } }\n.glyphicon-send { &:before { content: \"\\e171\"; } }\n.glyphicon-floppy-disk { &:before { content: \"\\e172\"; } }\n.glyphicon-floppy-saved { &:before { content: \"\\e173\"; } }\n.glyphicon-floppy-remove { &:before { content: \"\\e174\"; } }\n.glyphicon-floppy-save { &:before { content: \"\\e175\"; } }\n.glyphicon-floppy-open { &:before { content: \"\\e176\"; } }\n.glyphicon-credit-card { &:before { content: \"\\e177\"; } }\n.glyphicon-transfer { &:before { content: \"\\e178\"; } }\n.glyphicon-cutlery { &:before { content: \"\\e179\"; } }\n.glyphicon-header { &:before { content: \"\\e180\"; } }\n.glyphicon-compressed { &:before { content: \"\\e181\"; } }\n.glyphicon-earphone { &:before { content: \"\\e182\"; } }\n.glyphicon-phone-alt { &:before { content: \"\\e183\"; } }\n.glyphicon-tower { &:before { content: \"\\e184\"; } }\n.glyphicon-stats { &:before { content: \"\\e185\"; } }\n.glyphicon-sd-video { &:before { content: \"\\e186\"; } }\n.glyphicon-hd-video { &:before { content: \"\\e187\"; } }\n.glyphicon-subtitles { &:before { content: \"\\e188\"; } }\n.glyphicon-sound-stereo { &:before { content: \"\\e189\"; } }\n.glyphicon-sound-dolby { &:before { content: \"\\e190\"; } }\n.glyphicon-sound-5-1 { &:before { content: \"\\e191\"; } }\n.glyphicon-sound-6-1 { &:before { content: \"\\e192\"; } }\n.glyphicon-sound-7-1 { &:before { content: \"\\e193\"; } }\n.glyphicon-copyright-mark { &:before { content: \"\\e194\"; } }\n.glyphicon-registration-mark { &:before { content: \"\\e195\"; } }\n.glyphicon-cloud-download { &:before { content: \"\\e197\"; } }\n.glyphicon-cloud-upload { &:before { content: \"\\e198\"; } }\n.glyphicon-tree-conifer { &:before { content: \"\\e199\"; } }\n.glyphicon-tree-deciduous { &:before { content: \"\\e200\"; } }\n.glyphicon-cd { &:before { content: \"\\e201\"; } }\n.glyphicon-save-file { &:before { content: \"\\e202\"; } }\n.glyphicon-open-file { &:before { content: \"\\e203\"; } }\n.glyphicon-level-up { &:before { content: \"\\e204\"; } }\n.glyphicon-copy { &:before { content: \"\\e205\"; } }\n.glyphicon-paste { &:before { content: \"\\e206\"; } }\n// The following 2 Glyphicons are omitted for the time being because\n// they currently use Unicode codepoints that are outside the\n// Basic Multilingual Plane (BMP). Older buggy versions of WebKit can't handle\n// non-BMP codepoints in CSS string escapes, and thus can't display these two icons.\n// Notably, the bug affects some older versions of the Android Browser.\n// More info: https://github.com/twbs/bootstrap/issues/10106\n// .glyphicon-door { &:before { content: \"\\1f6aa\"; } }\n// .glyphicon-key { &:before { content: \"\\1f511\"; } }\n.glyphicon-alert { &:before { content: \"\\e209\"; } }\n.glyphicon-equalizer { &:before { content: \"\\e210\"; } }\n.glyphicon-king { &:before { content: \"\\e211\"; } }\n.glyphicon-queen { &:before { content: \"\\e212\"; } }\n.glyphicon-pawn { &:before { content: \"\\e213\"; } }\n.glyphicon-bishop { &:before { content: \"\\e214\"; } }\n.glyphicon-knight { &:before { content: \"\\e215\"; } }\n.glyphicon-baby-formula { &:before { content: \"\\e216\"; } }\n.glyphicon-tent { &:before { content: \"\\26fa\"; } }\n.glyphicon-blackboard { &:before { content: \"\\e218\"; } }\n.glyphicon-bed { &:before { content: \"\\e219\"; } }\n.glyphicon-apple { &:before { content: \"\\f8ff\"; } }\n.glyphicon-erase { &:before { content: \"\\e221\"; } }\n.glyphicon-hourglass { &:before { content: \"\\231b\"; } }\n.glyphicon-lamp { &:before { content: \"\\e223\"; } }\n.glyphicon-duplicate { &:before { content: \"\\e224\"; } }\n.glyphicon-piggy-bank { &:before { content: \"\\e225\"; } }\n.glyphicon-scissors { &:before { content: \"\\e226\"; } }\n.glyphicon-bitcoin { &:before { content: \"\\e227\"; } }\n.glyphicon-btc { &:before { content: \"\\e227\"; } }\n.glyphicon-xbt { &:before { content: \"\\e227\"; } }\n.glyphicon-yen { &:before { content: \"\\00a5\"; } }\n.glyphicon-jpy { &:before { content: \"\\00a5\"; } }\n.glyphicon-ruble { &:before { content: \"\\20bd\"; } }\n.glyphicon-rub { &:before { content: \"\\20bd\"; } }\n.glyphicon-scale { &:before { content: \"\\e230\"; } }\n.glyphicon-ice-lolly { &:before { content: \"\\e231\"; } }\n.glyphicon-ice-lolly-tasted { &:before { content: \"\\e232\"; } }\n.glyphicon-education { &:before { content: \"\\e233\"; } }\n.glyphicon-option-horizontal { &:before { content: \"\\e234\"; } }\n.glyphicon-option-vertical { &:before { content: \"\\e235\"; } }\n.glyphicon-menu-hamburger { &:before { content: \"\\e236\"; } }\n.glyphicon-modal-window { &:before { content: \"\\e237\"; } }\n.glyphicon-oil { &:before { content: \"\\e238\"; } }\n.glyphicon-grain { &:before { content: \"\\e239\"; } }\n.glyphicon-sunglasses { &:before { content: \"\\e240\"; } }\n.glyphicon-text-size { &:before { content: \"\\e241\"; } }\n.glyphicon-text-color { &:before { content: \"\\e242\"; } }\n.glyphicon-text-background { &:before { content: \"\\e243\"; } }\n.glyphicon-object-align-top { &:before { content: \"\\e244\"; } }\n.glyphicon-object-align-bottom { &:before { content: \"\\e245\"; } }\n.glyphicon-object-align-horizontal{ &:before { content: \"\\e246\"; } }\n.glyphicon-object-align-left { &:before { content: \"\\e247\"; } }\n.glyphicon-object-align-vertical { &:before { content: \"\\e248\"; } }\n.glyphicon-object-align-right { &:before { content: \"\\e249\"; } }\n.glyphicon-triangle-right { &:before { content: \"\\e250\"; } }\n.glyphicon-triangle-left { &:before { content: \"\\e251\"; } }\n.glyphicon-triangle-bottom { &:before { content: \"\\e252\"; } }\n.glyphicon-triangle-top { &:before { content: \"\\e253\"; } }\n.glyphicon-console { &:before { content: \"\\e254\"; } }\n.glyphicon-superscript { &:before { content: \"\\e255\"; } }\n.glyphicon-subscript { &:before { content: \"\\e256\"; } }\n.glyphicon-menu-left { &:before { content: \"\\e257\"; } }\n.glyphicon-menu-right { &:before { content: \"\\e258\"; } }\n.glyphicon-menu-down { &:before { content: \"\\e259\"; } }\n.glyphicon-menu-up { &:before { content: \"\\e260\"; } }\n","//\n// Scaffolding\n// --------------------------------------------------\n\n\n// Reset the box-sizing\n//\n// Heads up! This reset may cause conflicts with some third-party widgets.\n// For recommendations on resolving such conflicts, see\n// https://getbootstrap.com/docs/3.4/getting-started/#third-box-sizing\n* {\n .box-sizing(border-box);\n}\n*:before,\n*:after {\n .box-sizing(border-box);\n}\n\n\n// Body reset\n\nhtml {\n font-size: 10px;\n -webkit-tap-highlight-color: rgba(0, 0, 0, 0);\n}\n\nbody {\n font-family: @font-family-base;\n font-size: @font-size-base;\n line-height: @line-height-base;\n color: @text-color;\n background-color: @body-bg;\n}\n\n// Reset fonts for relevant elements\ninput,\nbutton,\nselect,\ntextarea {\n font-family: inherit;\n font-size: inherit;\n line-height: inherit;\n}\n\n\n// Links\n\na {\n color: @link-color;\n text-decoration: none;\n\n &:hover,\n &:focus {\n color: @link-hover-color;\n text-decoration: @link-hover-decoration;\n }\n\n &:focus {\n .tab-focus();\n }\n}\n\n\n// Figures\n//\n// We reset this here because previously Normalize had no `figure` margins. This\n// ensures we don't break anyone's use of the element.\n\nfigure {\n margin: 0;\n}\n\n\n// Images\n\nimg {\n vertical-align: middle;\n}\n\n// Responsive images (ensure images don't scale beyond their parents)\n.img-responsive {\n .img-responsive();\n}\n\n// Rounded corners\n.img-rounded {\n border-radius: @border-radius-large;\n}\n\n// Image thumbnails\n//\n// Heads up! This is mixin-ed into thumbnails.less for `.thumbnail`.\n.img-thumbnail {\n padding: @thumbnail-padding;\n line-height: @line-height-base;\n background-color: @thumbnail-bg;\n border: 1px solid @thumbnail-border;\n border-radius: @thumbnail-border-radius;\n .transition(all .2s ease-in-out);\n\n // Keep them at most 100% wide\n .img-responsive(inline-block);\n}\n\n// Perfect circle\n.img-circle {\n border-radius: 50%; // set radius in percents\n}\n\n\n// Horizontal rules\n\nhr {\n margin-top: @line-height-computed;\n margin-bottom: @line-height-computed;\n border: 0;\n border-top: 1px solid @hr-border;\n}\n\n\n// Only display content to screen readers\n//\n// See: https://a11yproject.com/posts/how-to-hide-content\n\n.sr-only {\n position: absolute;\n width: 1px;\n height: 1px;\n padding: 0;\n margin: -1px;\n overflow: hidden;\n clip: rect(0, 0, 0, 0);\n border: 0;\n}\n\n// Use in conjunction with .sr-only to only display content when it's focused.\n// Useful for \"Skip to main content\" links; see https://www.w3.org/TR/2013/NOTE-WCAG20-TECHS-20130905/G1\n// Credit: HTML5 Boilerplate\n\n.sr-only-focusable {\n &:active,\n &:focus {\n position: static;\n width: auto;\n height: auto;\n margin: 0;\n overflow: visible;\n clip: auto;\n }\n}\n\n\n// iOS \"clickable elements\" fix for role=\"button\"\n//\n// Fixes \"clickability\" issue (and more generally, the firing of events such as focus as well)\n// for traditionally non-focusable elements with role=\"button\"\n// see https://developer.mozilla.org/en-US/docs/Web/Events/click#Safari_Mobile\n\n[role=\"button\"] {\n cursor: pointer;\n}\n","// stylelint-disable indentation, property-no-vendor-prefix, selector-no-vendor-prefix\n\n// Vendor Prefixes\n//\n// All vendor mixins are deprecated as of v3.2.0 due to the introduction of\n// Autoprefixer in our Gruntfile. They have been removed in v4.\n\n// - Animations\n// - Backface visibility\n// - Box shadow\n// - Box sizing\n// - Content columns\n// - Hyphens\n// - Placeholder text\n// - Transformations\n// - Transitions\n// - User Select\n\n\n// Animations\n.animation(@animation) {\n -webkit-animation: @animation;\n -o-animation: @animation;\n animation: @animation;\n}\n.animation-name(@name) {\n -webkit-animation-name: @name;\n animation-name: @name;\n}\n.animation-duration(@duration) {\n -webkit-animation-duration: @duration;\n animation-duration: @duration;\n}\n.animation-timing-function(@timing-function) {\n -webkit-animation-timing-function: @timing-function;\n animation-timing-function: @timing-function;\n}\n.animation-delay(@delay) {\n -webkit-animation-delay: @delay;\n animation-delay: @delay;\n}\n.animation-iteration-count(@iteration-count) {\n -webkit-animation-iteration-count: @iteration-count;\n animation-iteration-count: @iteration-count;\n}\n.animation-direction(@direction) {\n -webkit-animation-direction: @direction;\n animation-direction: @direction;\n}\n.animation-fill-mode(@fill-mode) {\n -webkit-animation-fill-mode: @fill-mode;\n animation-fill-mode: @fill-mode;\n}\n\n// Backface visibility\n// Prevent browsers from flickering when using CSS 3D transforms.\n// Default value is `visible`, but can be changed to `hidden`\n\n.backface-visibility(@visibility) {\n -webkit-backface-visibility: @visibility;\n -moz-backface-visibility: @visibility;\n backface-visibility: @visibility;\n}\n\n// Drop shadows\n//\n// Note: Deprecated `.box-shadow()` as of v3.1.0 since all of Bootstrap's\n// supported browsers that have box shadow capabilities now support it.\n\n.box-shadow(@shadow) {\n -webkit-box-shadow: @shadow; // iOS <4.3 & Android <4.1\n box-shadow: @shadow;\n}\n\n// Box sizing\n.box-sizing(@boxmodel) {\n -webkit-box-sizing: @boxmodel;\n -moz-box-sizing: @boxmodel;\n box-sizing: @boxmodel;\n}\n\n// CSS3 Content Columns\n.content-columns(@column-count; @column-gap: @grid-gutter-width) {\n -webkit-column-count: @column-count;\n -moz-column-count: @column-count;\n column-count: @column-count;\n -webkit-column-gap: @column-gap;\n -moz-column-gap: @column-gap;\n column-gap: @column-gap;\n}\n\n// Optional hyphenation\n.hyphens(@mode: auto) {\n -webkit-hyphens: @mode;\n -moz-hyphens: @mode;\n -ms-hyphens: @mode; // IE10+\n -o-hyphens: @mode;\n hyphens: @mode;\n word-wrap: break-word;\n}\n\n// Placeholder text\n.placeholder(@color: @input-color-placeholder) {\n // Firefox\n &::-moz-placeholder {\n color: @color;\n opacity: 1; // Override Firefox's unusual default opacity; see https://github.com/twbs/bootstrap/pull/11526\n }\n &:-ms-input-placeholder { color: @color; } // Internet Explorer 10+\n &::-webkit-input-placeholder { color: @color; } // Safari and Chrome\n}\n\n// Transformations\n.scale(@ratio) {\n -webkit-transform: scale(@ratio);\n -ms-transform: scale(@ratio); // IE9 only\n -o-transform: scale(@ratio);\n transform: scale(@ratio);\n}\n.scale(@ratioX; @ratioY) {\n -webkit-transform: scale(@ratioX, @ratioY);\n -ms-transform: scale(@ratioX, @ratioY); // IE9 only\n -o-transform: scale(@ratioX, @ratioY);\n transform: scale(@ratioX, @ratioY);\n}\n.scaleX(@ratio) {\n -webkit-transform: scaleX(@ratio);\n -ms-transform: scaleX(@ratio); // IE9 only\n -o-transform: scaleX(@ratio);\n transform: scaleX(@ratio);\n}\n.scaleY(@ratio) {\n -webkit-transform: scaleY(@ratio);\n -ms-transform: scaleY(@ratio); // IE9 only\n -o-transform: scaleY(@ratio);\n transform: scaleY(@ratio);\n}\n.skew(@x; @y) {\n -webkit-transform: skewX(@x) skewY(@y);\n -ms-transform: skewX(@x) skewY(@y); // See https://github.com/twbs/bootstrap/issues/4885; IE9+\n -o-transform: skewX(@x) skewY(@y);\n transform: skewX(@x) skewY(@y);\n}\n.translate(@x; @y) {\n -webkit-transform: translate(@x, @y);\n -ms-transform: translate(@x, @y); // IE9 only\n -o-transform: translate(@x, @y);\n transform: translate(@x, @y);\n}\n.translate3d(@x; @y; @z) {\n -webkit-transform: translate3d(@x, @y, @z);\n transform: translate3d(@x, @y, @z);\n}\n.rotate(@degrees) {\n -webkit-transform: rotate(@degrees);\n -ms-transform: rotate(@degrees); // IE9 only\n -o-transform: rotate(@degrees);\n transform: rotate(@degrees);\n}\n.rotateX(@degrees) {\n -webkit-transform: rotateX(@degrees);\n -ms-transform: rotateX(@degrees); // IE9 only\n -o-transform: rotateX(@degrees);\n transform: rotateX(@degrees);\n}\n.rotateY(@degrees) {\n -webkit-transform: rotateY(@degrees);\n -ms-transform: rotateY(@degrees); // IE9 only\n -o-transform: rotateY(@degrees);\n transform: rotateY(@degrees);\n}\n.perspective(@perspective) {\n -webkit-perspective: @perspective;\n -moz-perspective: @perspective;\n perspective: @perspective;\n}\n.perspective-origin(@perspective) {\n -webkit-perspective-origin: @perspective;\n -moz-perspective-origin: @perspective;\n perspective-origin: @perspective;\n}\n.transform-origin(@origin) {\n -webkit-transform-origin: @origin;\n -moz-transform-origin: @origin;\n -ms-transform-origin: @origin; // IE9 only\n transform-origin: @origin;\n}\n\n\n// Transitions\n\n.transition(@transition) {\n -webkit-transition: @transition;\n -o-transition: @transition;\n transition: @transition;\n}\n.transition-property(@transition-property) {\n -webkit-transition-property: @transition-property;\n transition-property: @transition-property;\n}\n.transition-delay(@transition-delay) {\n -webkit-transition-delay: @transition-delay;\n transition-delay: @transition-delay;\n}\n.transition-duration(@transition-duration) {\n -webkit-transition-duration: @transition-duration;\n transition-duration: @transition-duration;\n}\n.transition-timing-function(@timing-function) {\n -webkit-transition-timing-function: @timing-function;\n transition-timing-function: @timing-function;\n}\n.transition-transform(@transition) {\n -webkit-transition: -webkit-transform @transition;\n -moz-transition: -moz-transform @transition;\n -o-transition: -o-transform @transition;\n transition: transform @transition;\n}\n\n\n// User select\n// For selecting text on the page\n\n.user-select(@select) {\n -webkit-user-select: @select;\n -moz-user-select: @select;\n -ms-user-select: @select; // IE10+\n user-select: @select;\n}\n","// WebKit-style focus\n\n.tab-focus() {\n // WebKit-specific. Other browsers will keep their default outline style.\n // (Initially tried to also force default via `outline: initial`,\n // but that seems to erroneously remove the outline in Firefox altogether.)\n outline: 5px auto -webkit-focus-ring-color;\n outline-offset: -2px;\n}\n","// stylelint-disable media-feature-name-no-vendor-prefix, media-feature-parentheses-space-inside, media-feature-name-no-unknown, indentation, at-rule-name-space-after\n\n// Responsive image\n//\n// Keep images from scaling beyond the width of their parents.\n.img-responsive(@display: block) {\n display: @display;\n max-width: 100%; // Part 1: Set a maximum relative to the parent\n height: auto; // Part 2: Scale the height according to the width, otherwise you get stretching\n}\n\n\n// Retina image\n//\n// Short retina mixin for setting background-image and -size. Note that the\n// spelling of `min--moz-device-pixel-ratio` is intentional.\n.img-retina(@file-1x; @file-2x; @width-1x; @height-1x) {\n background-image: url(\"@{file-1x}\");\n\n @media\n only screen and (-webkit-min-device-pixel-ratio: 2),\n only screen and ( min--moz-device-pixel-ratio: 2),\n only screen and ( -o-min-device-pixel-ratio: 2/1),\n only screen and ( min-device-pixel-ratio: 2),\n only screen and ( min-resolution: 192dpi),\n only screen and ( min-resolution: 2dppx) {\n background-image: url(\"@{file-2x}\");\n background-size: @width-1x @height-1x;\n }\n}\n","// stylelint-disable selector-list-comma-newline-after, selector-no-qualifying-type\n\n//\n// Typography\n// --------------------------------------------------\n\n\n// Headings\n// -------------------------\n\nh1, h2, h3, h4, h5, h6,\n.h1, .h2, .h3, .h4, .h5, .h6 {\n font-family: @headings-font-family;\n font-weight: @headings-font-weight;\n line-height: @headings-line-height;\n color: @headings-color;\n\n small,\n .small {\n font-weight: 400;\n line-height: 1;\n color: @headings-small-color;\n }\n}\n\nh1, .h1,\nh2, .h2,\nh3, .h3 {\n margin-top: @line-height-computed;\n margin-bottom: (@line-height-computed / 2);\n\n small,\n .small {\n font-size: 65%;\n }\n}\nh4, .h4,\nh5, .h5,\nh6, .h6 {\n margin-top: (@line-height-computed / 2);\n margin-bottom: (@line-height-computed / 2);\n\n small,\n .small {\n font-size: 75%;\n }\n}\n\nh1, .h1 { font-size: @font-size-h1; }\nh2, .h2 { font-size: @font-size-h2; }\nh3, .h3 { font-size: @font-size-h3; }\nh4, .h4 { font-size: @font-size-h4; }\nh5, .h5 { font-size: @font-size-h5; }\nh6, .h6 { font-size: @font-size-h6; }\n\n\n// Body text\n// -------------------------\n\np {\n margin: 0 0 (@line-height-computed / 2);\n}\n\n.lead {\n margin-bottom: @line-height-computed;\n font-size: floor((@font-size-base * 1.15));\n font-weight: 300;\n line-height: 1.4;\n\n @media (min-width: @screen-sm-min) {\n font-size: (@font-size-base * 1.5);\n }\n}\n\n\n// Emphasis & misc\n// -------------------------\n\n// Ex: (12px small font / 14px base font) * 100% = about 85%\nsmall,\n.small {\n font-size: floor((100% * @font-size-small / @font-size-base));\n}\n\nmark,\n.mark {\n padding: .2em;\n background-color: @state-warning-bg;\n}\n\n// Alignment\n.text-left { text-align: left; }\n.text-right { text-align: right; }\n.text-center { text-align: center; }\n.text-justify { text-align: justify; }\n.text-nowrap { white-space: nowrap; }\n\n// Transformation\n.text-lowercase { text-transform: lowercase; }\n.text-uppercase { text-transform: uppercase; }\n.text-capitalize { text-transform: capitalize; }\n\n// Contextual colors\n.text-muted {\n color: @text-muted;\n}\n.text-primary {\n .text-emphasis-variant(@brand-primary);\n}\n.text-success {\n .text-emphasis-variant(@state-success-text);\n}\n.text-info {\n .text-emphasis-variant(@state-info-text);\n}\n.text-warning {\n .text-emphasis-variant(@state-warning-text);\n}\n.text-danger {\n .text-emphasis-variant(@state-danger-text);\n}\n\n// Contextual backgrounds\n// For now we'll leave these alongside the text classes until v4 when we can\n// safely shift things around (per SemVer rules).\n.bg-primary {\n // Given the contrast here, this is the only class to have its color inverted\n // automatically.\n color: #fff;\n .bg-variant(@brand-primary);\n}\n.bg-success {\n .bg-variant(@state-success-bg);\n}\n.bg-info {\n .bg-variant(@state-info-bg);\n}\n.bg-warning {\n .bg-variant(@state-warning-bg);\n}\n.bg-danger {\n .bg-variant(@state-danger-bg);\n}\n\n\n// Page header\n// -------------------------\n\n.page-header {\n padding-bottom: ((@line-height-computed / 2) - 1);\n margin: (@line-height-computed * 2) 0 @line-height-computed;\n border-bottom: 1px solid @page-header-border-color;\n}\n\n\n// Lists\n// -------------------------\n\n// Unordered and Ordered lists\nul,\nol {\n margin-top: 0;\n margin-bottom: (@line-height-computed / 2);\n ul,\n ol {\n margin-bottom: 0;\n }\n}\n\n// List options\n\n// Unstyled keeps list items block level, just removes default browser padding and list-style\n.list-unstyled {\n padding-left: 0;\n list-style: none;\n}\n\n// Inline turns list items into inline-block\n.list-inline {\n .list-unstyled();\n margin-left: -5px;\n\n > li {\n display: inline-block;\n padding-right: 5px;\n padding-left: 5px;\n }\n}\n\n// Description Lists\ndl {\n margin-top: 0; // Remove browser default\n margin-bottom: @line-height-computed;\n}\ndt,\ndd {\n line-height: @line-height-base;\n}\ndt {\n font-weight: 700;\n}\ndd {\n margin-left: 0; // Undo browser default\n}\n\n// Horizontal description lists\n//\n// Defaults to being stacked without any of the below styles applied, until the\n// grid breakpoint is reached (default of ~768px).\n\n.dl-horizontal {\n dd {\n &:extend(.clearfix all); // Clear the floated `dt` if an empty `dd` is present\n }\n\n @media (min-width: @dl-horizontal-breakpoint) {\n dt {\n float: left;\n width: (@dl-horizontal-offset - 20);\n clear: left;\n text-align: right;\n .text-overflow();\n }\n dd {\n margin-left: @dl-horizontal-offset;\n }\n }\n}\n\n\n// Misc\n// -------------------------\n\n// Abbreviations and acronyms\n// Add data-* attribute to help out our tooltip plugin, per https://github.com/twbs/bootstrap/issues/5257\nabbr[title],\nabbr[data-original-title] {\n cursor: help;\n}\n\n.initialism {\n font-size: 90%;\n .text-uppercase();\n}\n\n// Blockquotes\nblockquote {\n padding: (@line-height-computed / 2) @line-height-computed;\n margin: 0 0 @line-height-computed;\n font-size: @blockquote-font-size;\n border-left: 5px solid @blockquote-border-color;\n\n p,\n ul,\n ol {\n &:last-child {\n margin-bottom: 0;\n }\n }\n\n // Note: Deprecated small and .small as of v3.1.0\n // Context: https://github.com/twbs/bootstrap/issues/11660\n footer,\n small,\n .small {\n display: block;\n font-size: 80%; // back to default font-size\n line-height: @line-height-base;\n color: @blockquote-small-color;\n\n &:before {\n content: \"\\2014 \\00A0\"; // em dash, nbsp\n }\n }\n}\n\n// Opposite alignment of blockquote\n//\n// Heads up: `blockquote.pull-right` has been deprecated as of v3.1.0.\n.blockquote-reverse,\nblockquote.pull-right {\n padding-right: 15px;\n padding-left: 0;\n text-align: right;\n border-right: 5px solid @blockquote-border-color;\n border-left: 0;\n\n // Account for citation\n footer,\n small,\n .small {\n &:before { content: \"\"; }\n &:after {\n content: \"\\00A0 \\2014\"; // nbsp, em dash\n }\n }\n}\n\n// Addresses\naddress {\n margin-bottom: @line-height-computed;\n font-style: normal;\n line-height: @line-height-base;\n}\n","// Typography\n\n.text-emphasis-variant(@color) {\n color: @color;\n a&:hover,\n a&:focus {\n color: darken(@color, 10%);\n }\n}\n","// Contextual backgrounds\n\n.bg-variant(@color) {\n background-color: @color;\n a&:hover,\n a&:focus {\n background-color: darken(@color, 10%);\n }\n}\n","// Text overflow\n// Requires inline-block or block for proper styling\n\n.text-overflow() {\n overflow: hidden;\n text-overflow: ellipsis;\n white-space: nowrap;\n}\n","//\n// Code (inline and block)\n// --------------------------------------------------\n\n\n// Inline and block code styles\ncode,\nkbd,\npre,\nsamp {\n font-family: @font-family-monospace;\n}\n\n// Inline code\ncode {\n padding: 2px 4px;\n font-size: 90%;\n color: @code-color;\n background-color: @code-bg;\n border-radius: @border-radius-base;\n}\n\n// User input typically entered via keyboard\nkbd {\n padding: 2px 4px;\n font-size: 90%;\n color: @kbd-color;\n background-color: @kbd-bg;\n border-radius: @border-radius-small;\n box-shadow: inset 0 -1px 0 rgba(0, 0, 0, .25);\n\n kbd {\n padding: 0;\n font-size: 100%;\n font-weight: 700;\n box-shadow: none;\n }\n}\n\n// Blocks of code\npre {\n display: block;\n padding: ((@line-height-computed - 1) / 2);\n margin: 0 0 (@line-height-computed / 2);\n font-size: (@font-size-base - 1); // 14px to 13px\n line-height: @line-height-base;\n color: @pre-color;\n word-break: break-all;\n word-wrap: break-word;\n background-color: @pre-bg;\n border: 1px solid @pre-border-color;\n border-radius: @border-radius-base;\n\n // Account for some code outputs that place code tags in pre tags\n code {\n padding: 0;\n font-size: inherit;\n color: inherit;\n white-space: pre-wrap;\n background-color: transparent;\n border-radius: 0;\n }\n}\n\n// Enable scrollable blocks of code\n.pre-scrollable {\n max-height: @pre-scrollable-max-height;\n overflow-y: scroll;\n}\n","//\n// Grid system\n// --------------------------------------------------\n\n\n// Container widths\n//\n// Set the container width, and override it for fixed navbars in media queries.\n\n.container {\n .container-fixed();\n\n @media (min-width: @screen-sm-min) {\n width: @container-sm;\n }\n @media (min-width: @screen-md-min) {\n width: @container-md;\n }\n @media (min-width: @screen-lg-min) {\n width: @container-lg;\n }\n}\n\n\n// Fluid container\n//\n// Utilizes the mixin meant for fixed width containers, but without any defined\n// width for fluid, full width layouts.\n\n.container-fluid {\n .container-fixed();\n}\n\n\n// Row\n//\n// Rows contain and clear the floats of your columns.\n\n.row {\n .make-row();\n}\n\n.row-no-gutters {\n margin-right: 0;\n margin-left: 0;\n\n [class*=\"col-\"] {\n padding-right: 0;\n padding-left: 0;\n }\n}\n\n\n// Columns\n//\n// Common styles for small and large grid columns\n\n.make-grid-columns();\n\n\n// Extra small grid\n//\n// Columns, offsets, pushes, and pulls for extra small devices like\n// smartphones.\n\n.make-grid(xs);\n\n\n// Small grid\n//\n// Columns, offsets, pushes, and pulls for the small device range, from phones\n// to tablets.\n\n@media (min-width: @screen-sm-min) {\n .make-grid(sm);\n}\n\n\n// Medium grid\n//\n// Columns, offsets, pushes, and pulls for the desktop device range.\n\n@media (min-width: @screen-md-min) {\n .make-grid(md);\n}\n\n\n// Large grid\n//\n// Columns, offsets, pushes, and pulls for the large desktop device range.\n\n@media (min-width: @screen-lg-min) {\n .make-grid(lg);\n}\n","// Grid system\n//\n// Generate semantic grid columns with these mixins.\n\n// Centered container element\n.container-fixed(@gutter: @grid-gutter-width) {\n padding-right: ceil((@gutter / 2));\n padding-left: floor((@gutter / 2));\n margin-right: auto;\n margin-left: auto;\n &:extend(.clearfix all);\n}\n\n// Creates a wrapper for a series of columns\n.make-row(@gutter: @grid-gutter-width) {\n margin-right: floor((@gutter / -2));\n margin-left: ceil((@gutter / -2));\n &:extend(.clearfix all);\n}\n\n// Generate the extra small columns\n.make-xs-column(@columns; @gutter: @grid-gutter-width) {\n position: relative;\n float: left;\n width: percentage((@columns / @grid-columns));\n min-height: 1px;\n padding-right: (@gutter / 2);\n padding-left: (@gutter / 2);\n}\n.make-xs-column-offset(@columns) {\n margin-left: percentage((@columns / @grid-columns));\n}\n.make-xs-column-push(@columns) {\n left: percentage((@columns / @grid-columns));\n}\n.make-xs-column-pull(@columns) {\n right: percentage((@columns / @grid-columns));\n}\n\n// Generate the small columns\n.make-sm-column(@columns; @gutter: @grid-gutter-width) {\n position: relative;\n min-height: 1px;\n padding-right: (@gutter / 2);\n padding-left: (@gutter / 2);\n\n @media (min-width: @screen-sm-min) {\n float: left;\n width: percentage((@columns / @grid-columns));\n }\n}\n.make-sm-column-offset(@columns) {\n @media (min-width: @screen-sm-min) {\n margin-left: percentage((@columns / @grid-columns));\n }\n}\n.make-sm-column-push(@columns) {\n @media (min-width: @screen-sm-min) {\n left: percentage((@columns / @grid-columns));\n }\n}\n.make-sm-column-pull(@columns) {\n @media (min-width: @screen-sm-min) {\n right: percentage((@columns / @grid-columns));\n }\n}\n\n// Generate the medium columns\n.make-md-column(@columns; @gutter: @grid-gutter-width) {\n position: relative;\n min-height: 1px;\n padding-right: (@gutter / 2);\n padding-left: (@gutter / 2);\n\n @media (min-width: @screen-md-min) {\n float: left;\n width: percentage((@columns / @grid-columns));\n }\n}\n.make-md-column-offset(@columns) {\n @media (min-width: @screen-md-min) {\n margin-left: percentage((@columns / @grid-columns));\n }\n}\n.make-md-column-push(@columns) {\n @media (min-width: @screen-md-min) {\n left: percentage((@columns / @grid-columns));\n }\n}\n.make-md-column-pull(@columns) {\n @media (min-width: @screen-md-min) {\n right: percentage((@columns / @grid-columns));\n }\n}\n\n// Generate the large columns\n.make-lg-column(@columns; @gutter: @grid-gutter-width) {\n position: relative;\n min-height: 1px;\n padding-right: (@gutter / 2);\n padding-left: (@gutter / 2);\n\n @media (min-width: @screen-lg-min) {\n float: left;\n width: percentage((@columns / @grid-columns));\n }\n}\n.make-lg-column-offset(@columns) {\n @media (min-width: @screen-lg-min) {\n margin-left: percentage((@columns / @grid-columns));\n }\n}\n.make-lg-column-push(@columns) {\n @media (min-width: @screen-lg-min) {\n left: percentage((@columns / @grid-columns));\n }\n}\n.make-lg-column-pull(@columns) {\n @media (min-width: @screen-lg-min) {\n right: percentage((@columns / @grid-columns));\n }\n}\n","// Framework grid generation\n//\n// Used only by Bootstrap to generate the correct number of grid classes given\n// any value of `@grid-columns`.\n\n.make-grid-columns() {\n // Common styles for all sizes of grid columns, widths 1-12\n .col(@index) { // initial\n @item: ~\".col-xs-@{index}, .col-sm-@{index}, .col-md-@{index}, .col-lg-@{index}\";\n .col((@index + 1), @item);\n }\n .col(@index, @list) when (@index =< @grid-columns) { // general; \"=<\" isn't a typo\n @item: ~\".col-xs-@{index}, .col-sm-@{index}, .col-md-@{index}, .col-lg-@{index}\";\n .col((@index + 1), ~\"@{list}, @{item}\");\n }\n .col(@index, @list) when (@index > @grid-columns) { // terminal\n @{list} {\n position: relative;\n // Prevent columns from collapsing when empty\n min-height: 1px;\n // Inner gutter via padding\n padding-right: floor((@grid-gutter-width / 2));\n padding-left: ceil((@grid-gutter-width / 2));\n }\n }\n .col(1); // kickstart it\n}\n\n.float-grid-columns(@class) {\n .col(@index) { // initial\n @item: ~\".col-@{class}-@{index}\";\n .col((@index + 1), @item);\n }\n .col(@index, @list) when (@index =< @grid-columns) { // general\n @item: ~\".col-@{class}-@{index}\";\n .col((@index + 1), ~\"@{list}, @{item}\");\n }\n .col(@index, @list) when (@index > @grid-columns) { // terminal\n @{list} {\n float: left;\n }\n }\n .col(1); // kickstart it\n}\n\n.calc-grid-column(@index, @class, @type) when (@type = width) and (@index > 0) {\n .col-@{class}-@{index} {\n width: percentage((@index / @grid-columns));\n }\n}\n.calc-grid-column(@index, @class, @type) when (@type = push) and (@index > 0) {\n .col-@{class}-push-@{index} {\n left: percentage((@index / @grid-columns));\n }\n}\n.calc-grid-column(@index, @class, @type) when (@type = push) and (@index = 0) {\n .col-@{class}-push-0 {\n left: auto;\n }\n}\n.calc-grid-column(@index, @class, @type) when (@type = pull) and (@index > 0) {\n .col-@{class}-pull-@{index} {\n right: percentage((@index / @grid-columns));\n }\n}\n.calc-grid-column(@index, @class, @type) when (@type = pull) and (@index = 0) {\n .col-@{class}-pull-0 {\n right: auto;\n }\n}\n.calc-grid-column(@index, @class, @type) when (@type = offset) {\n .col-@{class}-offset-@{index} {\n margin-left: percentage((@index / @grid-columns));\n }\n}\n\n// Basic looping in LESS\n.loop-grid-columns(@index, @class, @type) when (@index >= 0) {\n .calc-grid-column(@index, @class, @type);\n // next iteration\n .loop-grid-columns((@index - 1), @class, @type);\n}\n\n// Create grid for specific class\n.make-grid(@class) {\n .float-grid-columns(@class);\n .loop-grid-columns(@grid-columns, @class, width);\n .loop-grid-columns(@grid-columns, @class, pull);\n .loop-grid-columns(@grid-columns, @class, push);\n .loop-grid-columns(@grid-columns, @class, offset);\n}\n","// stylelint-disable selector-max-type, selector-max-compound-selectors, selector-no-qualifying-type\n\n//\n// Tables\n// --------------------------------------------------\n\n\ntable {\n background-color: @table-bg;\n\n // Table cell sizing\n //\n // Reset default table behavior\n\n col[class*=\"col-\"] {\n position: static; // Prevent border hiding in Firefox and IE9-11 (see https://github.com/twbs/bootstrap/issues/11623)\n display: table-column;\n float: none;\n }\n\n td,\n th {\n &[class*=\"col-\"] {\n position: static; // Prevent border hiding in Firefox and IE9-11 (see https://github.com/twbs/bootstrap/issues/11623)\n display: table-cell;\n float: none;\n }\n }\n}\n\ncaption {\n padding-top: @table-cell-padding;\n padding-bottom: @table-cell-padding;\n color: @text-muted;\n text-align: left;\n}\n\nth {\n text-align: left;\n}\n\n\n// Baseline styles\n\n.table {\n width: 100%;\n max-width: 100%;\n margin-bottom: @line-height-computed;\n // Cells\n > thead,\n > tbody,\n > tfoot {\n > tr {\n > th,\n > td {\n padding: @table-cell-padding;\n line-height: @line-height-base;\n vertical-align: top;\n border-top: 1px solid @table-border-color;\n }\n }\n }\n // Bottom align for column headings\n > thead > tr > th {\n vertical-align: bottom;\n border-bottom: 2px solid @table-border-color;\n }\n // Remove top border from thead by default\n > caption + thead,\n > colgroup + thead,\n > thead:first-child {\n > tr:first-child {\n > th,\n > td {\n border-top: 0;\n }\n }\n }\n // Account for multiple tbody instances\n > tbody + tbody {\n border-top: 2px solid @table-border-color;\n }\n\n // Nesting\n .table {\n background-color: @body-bg;\n }\n}\n\n\n// Condensed table w/ half padding\n\n.table-condensed {\n > thead,\n > tbody,\n > tfoot {\n > tr {\n > th,\n > td {\n padding: @table-condensed-cell-padding;\n }\n }\n }\n}\n\n\n// Bordered version\n//\n// Add borders all around the table and between all the columns.\n\n.table-bordered {\n border: 1px solid @table-border-color;\n > thead,\n > tbody,\n > tfoot {\n > tr {\n > th,\n > td {\n border: 1px solid @table-border-color;\n }\n }\n }\n > thead > tr {\n > th,\n > td {\n border-bottom-width: 2px;\n }\n }\n}\n\n\n// Zebra-striping\n//\n// Default zebra-stripe styles (alternating gray and transparent backgrounds)\n\n.table-striped {\n > tbody > tr:nth-of-type(odd) {\n background-color: @table-bg-accent;\n }\n}\n\n\n// Hover effect\n//\n// Placed here since it has to come after the potential zebra striping\n\n.table-hover {\n > tbody > tr:hover {\n background-color: @table-bg-hover;\n }\n}\n\n\n// Table backgrounds\n//\n// Exact selectors below required to override `.table-striped` and prevent\n// inheritance to nested tables.\n\n// Generate the contextual variants\n.table-row-variant(active; @table-bg-active);\n.table-row-variant(success; @state-success-bg);\n.table-row-variant(info; @state-info-bg);\n.table-row-variant(warning; @state-warning-bg);\n.table-row-variant(danger; @state-danger-bg);\n\n\n// Responsive tables\n//\n// Wrap your tables in `.table-responsive` and we'll make them mobile friendly\n// by enabling horizontal scrolling. Only applies <768px. Everything above that\n// will display normally.\n\n.table-responsive {\n min-height: .01%; // Workaround for IE9 bug (see https://github.com/twbs/bootstrap/issues/14837)\n overflow-x: auto;\n\n @media screen and (max-width: @screen-xs-max) {\n width: 100%;\n margin-bottom: (@line-height-computed * .75);\n overflow-y: hidden;\n -ms-overflow-style: -ms-autohiding-scrollbar;\n border: 1px solid @table-border-color;\n\n // Tighten up spacing\n > .table {\n margin-bottom: 0;\n\n // Ensure the content doesn't wrap\n > thead,\n > tbody,\n > tfoot {\n > tr {\n > th,\n > td {\n white-space: nowrap;\n }\n }\n }\n }\n\n // Special overrides for the bordered tables\n > .table-bordered {\n border: 0;\n\n // Nuke the appropriate borders so that the parent can handle them\n > thead,\n > tbody,\n > tfoot {\n > tr {\n > th:first-child,\n > td:first-child {\n border-left: 0;\n }\n > th:last-child,\n > td:last-child {\n border-right: 0;\n }\n }\n }\n\n // Only nuke the last row's bottom-border in `tbody` and `tfoot` since\n // chances are there will be only one `tr` in a `thead` and that would\n // remove the border altogether.\n > tbody,\n > tfoot {\n > tr:last-child {\n > th,\n > td {\n border-bottom: 0;\n }\n }\n }\n\n }\n }\n}\n","// Tables\n\n.table-row-variant(@state; @background) {\n // Exact selectors below required to override `.table-striped` and prevent\n // inheritance to nested tables.\n .table > thead > tr,\n .table > tbody > tr,\n .table > tfoot > tr {\n > td.@{state},\n > th.@{state},\n &.@{state} > td,\n &.@{state} > th {\n background-color: @background;\n }\n }\n\n // Hover states for `.table-hover`\n // Note: this is not available for cells or rows within `thead` or `tfoot`.\n .table-hover > tbody > tr {\n > td.@{state}:hover,\n > th.@{state}:hover,\n &.@{state}:hover > td,\n &:hover > .@{state},\n &.@{state}:hover > th {\n background-color: darken(@background, 5%);\n }\n }\n}\n","// stylelint-disable selector-no-qualifying-type, property-no-vendor-prefix, media-feature-name-no-vendor-prefix\n\n//\n// Forms\n// --------------------------------------------------\n\n\n// Normalize non-controls\n//\n// Restyle and baseline non-control form elements.\n\nfieldset {\n // Chrome and Firefox set a `min-width: min-content;` on fieldsets,\n // so we reset that to ensure it behaves more like a standard block element.\n // See https://github.com/twbs/bootstrap/issues/12359.\n min-width: 0;\n padding: 0;\n margin: 0;\n border: 0;\n}\n\nlegend {\n display: block;\n width: 100%;\n padding: 0;\n margin-bottom: @line-height-computed;\n font-size: (@font-size-base * 1.5);\n line-height: inherit;\n color: @legend-color;\n border: 0;\n border-bottom: 1px solid @legend-border-color;\n}\n\nlabel {\n display: inline-block;\n max-width: 100%; // Force IE8 to wrap long content (see https://github.com/twbs/bootstrap/issues/13141)\n margin-bottom: 5px;\n font-weight: 700;\n}\n\n\n// Normalize form controls\n//\n// While most of our form styles require extra classes, some basic normalization\n// is required to ensure optimum display with or without those classes to better\n// address browser inconsistencies.\n\ninput[type=\"search\"] {\n // Override content-box in Normalize (* isn't specific enough)\n .box-sizing(border-box);\n\n // Search inputs in iOS\n //\n // This overrides the extra rounded corners on search inputs in iOS so that our\n // `.form-control` class can properly style them. Note that this cannot simply\n // be added to `.form-control` as it's not specific enough. For details, see\n // https://github.com/twbs/bootstrap/issues/11586.\n -webkit-appearance: none;\n appearance: none;\n}\n\n// Position radios and checkboxes better\ninput[type=\"radio\"],\ninput[type=\"checkbox\"] {\n margin: 4px 0 0;\n margin-top: 1px \\9; // IE8-9\n line-height: normal;\n\n // Apply same disabled cursor tweak as for inputs\n // Some special care is needed because