From 7d22b10dc33cb2205e0740894836125d4b7c9452 Mon Sep 17 00:00:00 2001 From: GrimFe <69858810+GrimFe@users.noreply.github.com> Date: Wed, 28 Aug 2024 10:24:33 +0200 Subject: [PATCH] Parsing MF35 in ERRORR output (#332) * read_mf33 with mf parameter * Errorr.get_cov works with MF 35 * test fix * test fix * removed dll and reverted constants.py * adjusted some docstrings and circular calls --------- Co-authored-by: Luca Fiorito --- sandy/constants.py | 1 - sandy/errorr.py | 112 ++++++++++++------ ...U3TLJ5LCYWAHUEDVVXS.gfortran-win_amd64.dll | Bin 667535 -> 0 bytes 3 files changed, 76 insertions(+), 37 deletions(-) delete mode 100644 sandy/librwfortra.HNMZAH7GGM6VMU3TLJ5LCYWAHUEDVVXS.gfortran-win_amd64.dll diff --git a/sandy/constants.py b/sandy/constants.py index c117613d..b142f5f2 100644 --- a/sandy/constants.py +++ b/sandy/constants.py @@ -9,4 +9,3 @@ # source: P. J. Mohr and B. N. Taylor, "The 1998 CODATA Recommended Values # of the Fundamental Physics Constants", Version 3.1 Amn = 1.00866491578 - \ No newline at end of file diff --git a/sandy/errorr.py b/sandy/errorr.py index 0f828354..f55ff9f7 100644 --- a/sandy/errorr.py +++ b/sandy/errorr.py @@ -1,10 +1,11 @@ import pandas as pd import numpy as np import logging -import pytest -import sandy -from sandy.core.endf6 import _FormattedFile +from .core.endf6 import _FormattedFile +from .core.cov import CategoryCov +from .core.xs import Xs +from .core.records import read_cont, read_list __author__ = "Luca Fiorito" __all__ = [ @@ -30,8 +31,7 @@ class Errorr(_FormattedFile): def get_energy_grid(self, **kwargs): """ - Extract breaks of multi-group energy grid from ERRORR - output file. + Extract breaks of multi-group energy grid from ERRORR output file. Parameters ---------- @@ -41,10 +41,12 @@ def get_energy_grid(self, **kwargs): Returns ------- `np.array` - The energy grid of the `sandy.Errorr` object. + The energy grid of the :obj:`~sandy.errorr.Errorr` object. Examples -------- + + >>> import sandy >>> e6 = sandy.get_endf6_file("jeff_33", "xs", 10010) >>> ek = sandy.energy_grids.CASMO12 >>> err = e6.get_errorr(errorr_kws=dict(ek=ek), err=1)['errorr33'] @@ -66,6 +68,8 @@ def get_xs(self, **kwargs): Examples -------- + + >>> import sandy >>> e6 = sandy.get_endf6_file("jeff_33", "xs", 10010) >>> ek = sandy.energy_grids.CASMO12 >>> err = e6.get_errorr(err=1, errorr_kws=dict(ek=ek))['errorr33'] @@ -128,19 +132,19 @@ def get_xs(self, **kwargs): for mat, mf, mt in self.filter_by(listmf=[3], listmt=listmt_, listmat=listmat_).data: - mf1 = sandy.errorr.read_mf1(self, mat) + mf1 = read_mf1(self, mat) egn = pd.IntervalIndex.from_breaks(mf1["EG"]) - mf3 = sandy.errorr.read_mf3(self, mat, mt) + mf3 = read_mf3(self, mat, mt) columns = pd.MultiIndex.from_tuples([(mat, mt)], names=["MAT", "MT"]) index = pd.Index(egn, name="E") data.append(pd.DataFrame(mf3["XS"], index=index, columns=columns)) data = pd.concat(data, axis=1).fillna(0) - return sandy.Xs(data) + return Xs(data) def get_cov(self, mts=None): """ - Extract cross section/nubar covariance from :obj: `sandy.Errorr` instance. + Extract cross section/nubar covariance from :obj:`~sandy.errorr.Errorr` instance. Parameters ---------- @@ -155,12 +159,15 @@ def get_cov(self, mts=None): Returns ------- - :obj: `sandy.CategoryCov` - xs/nubar covariance matrix for all cross section/nubar - MAT/MT in ERRORR file. + :obj:`~sandy.core.cov.CategoryCov` + xs/nubar/pfns covariance matrix for all MAT/MT in ERRORR file. Examples -------- + + Read cross section covariance matrix for simple case (H1). + + >>> import sandy, pytest >>> e6 = sandy.get_endf6_file("jeff_33", "xs", 10010) >>> err = e6.get_errorr(errorr_kws=dict(ek=[1e-2, 1e1, 2e7]), err=1, temperature=0.1)['errorr33'] >>> datamg = err.get_cov().data @@ -178,7 +185,9 @@ def get_cov(self, mts=None): This example shows the cross correlation among two MT taken from a cross section covariance matrix (MF=33) with 3 energy groups at high - energy. There is no correlation in the last two groups. + energy. + There is no correlation in the last two groups. + >>> tape = sandy.get_endf6_file("jeff_33", "xs", 641530) >>> out = tape.get_errorr(err=1, errorr33_kws=dict(irespr=0, mt=[1, 51, 52],ek=[1e7,2e7,2.4e7, 2.8e7])) >>> cov = out["errorr33"].get_cov().data @@ -189,7 +198,31 @@ def get_cov(self, mts=None): (20000000.0, 24000000.0] 6.81128e-02 0.00000e+00 0.00000e+00 (24000000.0, 28000000.0] 7.52293e-02 0.00000e+00 0.00000e+00 + This example shows functioning of the `get_cov` method with `MF=31`, `MF=33` and `MF=35`. + The first case if for `MF=31`. + + >>> import numpy as np + >>> e6 = sandy.get_endf6_file("jeff_33", "xs", 922350) + >>> err = e6.get_errorr(errorr_kws=dict(ek=[1e-2, 1e1, 2e7]), groupr_kws=dict(ek=[1e-2, 1e1, 2e7]), err=1, xs=False, chi=False, nubar=True, mubar=False)['errorr31'] + >>> datamg = err.get_cov().data + >>> np.testing.assert_equal(datamg.values, [[3.153674e-05, 1.413344e-05],[1.413344e-05, 1.643044e-05]]) + + The second case if for `MF=33`. + + >>> e6 = sandy.get_endf6_file("jeff_33", "xs", 922350) + >>> err = e6.get_errorr(errorr_kws=dict(ek=[1e-2, 1e1, 2e7]), err=1, xs=True, chi=False, nubar=False, mubar=False)['errorr33'] + >>> datamg = err.get_cov().data + >>> np.testing.assert_equal(datamg.loc[(9228, 1), (9228, 1)].values, [[2.060002e-04, 6.686222e-08],[6.686222e-08, 7.581125e-05]]) + + The third case if for `MF=35`. + + >>> e6 = sandy.get_endf6_file("jeff_33", "xs", 922350) + >>> err = e6.get_errorr(errorr_kws=dict(ek=[1e-2, 1e1, 2e7]), groupr_kws=dict(ek=[1e-2, 1e1, 2e7]), err=1, xs=False, chi=True, nubar=False, mubar=False)['errorr35'] + >>> datamg = err.get_cov().data + >>> np.testing.assert_equal(datamg.values, [[1.750390e-03, 4.450283e-08],[4.450283e-08, 1.622930e-10]]) + Test selecting only specific MT's. + >>> err = sandy.get_endf6_file("jeff_33", "xs", 10010).get_errorr(err=1)["errorr33"] >>> cov = err.get_cov() >>> np.testing.assert_array_equal(cov.data.index.get_level_values("MT").unique(), [1, 2, 102]) @@ -202,7 +235,7 @@ def get_cov(self, mts=None): eg = pd.IntervalIndex.from_breaks(eg) # multigroup # initialize global cov matrix with all MAT, MT - ix = pd.DataFrame(self.filter_by(listmf=[31, 33]).data.keys(), + ix = pd.DataFrame(self.filter_by(listmf=[31, 33, 35]).data.keys(), columns=["MAT", "MF", "MT"])[["MAT", "MT"]] ix["IMIN"] = ix.index * eg.size ix["IMAX"] = (ix.index + 1) * eg.size @@ -211,8 +244,8 @@ def get_cov(self, mts=None): c = np.zeros((nsize, nsize)) # Fill matrix - for mat, mf, mt in self.filter_by(listmf=[31, 33]).data: - mf33 = sandy.errorr.read_mf33(self, mat, mt) + for mat, mf, mt in self.filter_by(listmf=[31, 33, 35]).data: + mf33 = read_mf33(self, mat, mt, 33 if mf == 31 else mf) for mt1, cov in mf33["COVS"].items(): ivals = ix.query("MAT==@mat & MT==@mt").squeeze() @@ -234,26 +267,26 @@ def get_cov(self, mts=None): mask = idx.get_level_values("MT").isin(mts) if not mask.any(): raise ValueError("No requested MT number was found in ERRORR file") - out = sandy.CategoryCov(c[mask][:, mask], index=idx[mask], columns=idx[mask]) + out = CategoryCov(c[mask][:, mask], index=idx[mask], columns=idx[mask]) notfound = set(mts) - set(idx.get_level_values("MT")) if notfound: logging.warning(f"The following MT's were not found in ERRORR file: {notfound}") else: - out = sandy.CategoryCov(c, index=idx, columns=idx) + out = CategoryCov(c, index=idx, columns=idx) return out def read_mf1(tape, mat): """ - Parse MAT/MF=1/MT=451 section from `sandy.Errorr` object and return + Parse MAT/MF=1/MT=451 section from :obj:`~sandy.errorr.Errorr` object and return structured content in nested dcitionaries. Parameters ---------- - tape : `sandy.Errorr` + tape : :obj:`~sandy.errorr.Errorr` endf6 object containing requested section mat : `int` MAT number @@ -272,14 +305,14 @@ def read_mf1(tape, mat): "MT": mt, } i = 0 - C, i = sandy.read_cont(df, i) + C, i = read_cont(df, i) add = { "ZA": C.C1, "AWR": C.C2, "LRP": C.N1, } out.update(add) - L, i = sandy.read_list(df, i) + L, i = read_list(df, i) add = { "EG": np.array(L.B), } @@ -289,13 +322,13 @@ def read_mf1(tape, mat): def read_mf3(tape, mat, mt): """ - Parse MAT/MF=33/MT section from `sandy.Errorr` object and return + Parse MAT/MF=33/MT section from :obj:`~sandy.errorr.Errorr` object and return structured content in nested dcitionaries. Parameters ---------- - tape : `sandy.Errorr` - endf6 object containing requested section + tape : :obj:`~sandy.errorr.Errorr` + ERRORR object containing requested section mat : `int` MAT number mt : `int` @@ -314,7 +347,7 @@ def read_mf3(tape, mat, mt): "MT": mt, } i = 0 - L, i = sandy.read_list(df, i) + L, i = read_list(df, i) add = { "XS": np.array(L.B), } @@ -322,26 +355,33 @@ def read_mf3(tape, mat, mt): return out -def read_mf33(tape, mat, mt): +def read_mf33(tape, mat, mt, mf=33): """ - Parse MAT/MF=33/MT section from `sandy.Errorr` object and return + Parse MAT/MF=33/MT section from :obj:`~sandy.errorr.Errorr` object and return structured content in nested dcitionaries. Parameters ---------- - tape : `sandy.Errorr` - endf6 object containing requested section + tape : :obj:`~sandy.error.Errorr` + ERRORR object containing requested section mat : `int` MAT number mt : `int` MT number + mf : `int`, optional + MF number. Default is `33`. + + Notes + ----- + .. note: ERRORR sections for nubar and xs are all given by NJOY in `MF=33`. + For PFNS, `MF=35` is used. + Independently, all sections can be parse by this function. Returns ------- out : `dict` - Content of the ENDF-6 tape structured as nested `dict`. + Content of the ERRORR tape structured as nested `dict`. """ - mf = 33 df = tape._get_section_df(mat, mf, mt) out = { "MAT": mat, @@ -349,7 +389,7 @@ def read_mf33(tape, mat, mt): "MT": mt, } i = 0 - C, i = sandy.read_cont(df, i) + C, i = read_cont(df, i) add = { "ZA": C.C1, "AWR": C.C2, @@ -357,12 +397,12 @@ def read_mf33(tape, mat, mt): out.update(add) reaction_pairs = {} for rp in range(C.N2): # number of reaction pairs - C, i = sandy.read_cont(df, i) + C, i = read_cont(df, i) MT1 = C.L2 NG = C.N2 M = np.zeros((NG, NG)) while True: - L, i = sandy.read_list(df, i) + L, i = read_list(df, i) NGCOL = L.L1 GROW = L.N2 GCOL = L.L2 diff --git a/sandy/librwfortra.HNMZAH7GGM6VMU3TLJ5LCYWAHUEDVVXS.gfortran-win_amd64.dll b/sandy/librwfortra.HNMZAH7GGM6VMU3TLJ5LCYWAHUEDVVXS.gfortran-win_amd64.dll deleted file mode 100644 index 0b90ec3646cf8fb1ed2cf180d687e66b15be3101..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 667535 zcmeFadwf*Yx%fSk3uF}BL5T$~CA3i!uf$7BDwG+S=pLO>tf(lcv|!YVH=Kyp3rS~2 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