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url: https://conda.anaconda.org/conda-forge/win-64/zlib-ng-2.2.2-he0c23c2_0.conda - sha256: 90c6e86dc30a1f768fd5b131464644bedd4ebd52e80e75595066cd37facf6b01 - md5: ba337fbdf9bdfe84ed0030329069d405 - depends: - - ucrt >=10.0.20348.0 - - vc >=14.2,<15 - - vc14_runtime >=14.29.30139 - license: Zlib - license_family: Other - size: 108763 - timestamp: 1726591296481 - kind: conda name: zstandard version: 0.23.0 diff --git a/pixi.toml b/pixi.toml index c117bc68..fe40a9b4 100644 --- a/pixi.toml +++ b/pixi.toml @@ -20,6 +20,7 @@ build-imod-coupler = "rm -rf dist && pyinstaller imod_coupler/__main__.py --name netCDF4 = "*" loguru = "*" numpy = "<2.0" +imod = "*" pip = "*" pydantic = "2.*" pyinstaller = "*" @@ -28,11 +29,6 @@ scipy = "*" tomli = "*" tomli-w = "*" xmipy = "*" -filelock = "*" -geopandas = "*" -pandamesh = "*" -rioxarray = "*" -xugrid = ">=0.11.0" #[pypi-dependencies] #ribasim = {git = "https://github.com/Deltares/Ribasim.git/#subdirectory=python/ribasim"} @@ -43,12 +39,10 @@ install-ribasim-python = "pip install git+https://github.com/Deltares/Ribasim.gi install-ribasim-testmodels = "pip install git+https://github.com/Deltares/Ribasim.git/#subdirectory=python/ribasim_testmodels" install-primod = "pip install --no-deps --editable pre-processing" install-metaswap-testmodels = "svn checkout https://repos.deltares.nl/repos/DSCTestbench/trunk/cases/e150_metaswap/f00_common/c00_common/LHM2016_v01vrz .imod_collector/e150_metaswap" -install-imod = "pip install git+https://github.com/Deltares/imod-python.git@msw_refactoring_feature_branch" install-imod-collector = "python scripts/download_imod_collector.py" install-imod-collector-regression = "python scripts/download_imod_collector.py regression" generate-env-file = "python scripts/generate_env_file.py" install = { depends_on = [ - "install-imod", "install-minimal", "install-ribasim-testmodels", "install-primod", diff --git a/pre-processing/primod/driver_coupling/ribameta.py b/pre-processing/primod/driver_coupling/ribameta.py index 8a43fe2b..7371fc2f 100644 --- a/pre-processing/primod/driver_coupling/ribameta.py +++ b/pre-processing/primod/driver_coupling/ribameta.py @@ -66,7 +66,6 @@ def derive_mapping( self.ribasim_basin_definition, like=svat.isel(subunit=0, drop=True), column="node_id", - fill=-1, ) elif isinstance(self.ribasim_basin_definition, xr.DataArray): gridded_basin = self.ribasim_basin_definition @@ -92,7 +91,6 @@ def derive_mapping( self.ribasim_user_demand_definition, like=svat.isel(subunit=0, drop=True), column="node_id", - fill=-1, ) elif isinstance(self.ribasim_user_demand_definition, xr.DataArray): gridded_user_demand = self.ribasim_user_demand_definition diff --git a/pre-processing/primod/driver_coupling/ribamod.py b/pre-processing/primod/driver_coupling/ribamod.py index b419075f..79cabdcc 100644 --- a/pre-processing/primod/driver_coupling/ribamod.py +++ b/pre-processing/primod/driver_coupling/ribamod.py @@ -80,7 +80,6 @@ def write_exchanges( basin_definition, like=dis["idomain"].isel(layer=0, drop=True), column="node_id", - fill=-1, ) basin_dataset = xr.Dataset( {key: gridded_basin for key in self.mf6_packages} diff --git a/pre-processing/primod/mapping/wel_svat_mapping.py b/pre-processing/primod/mapping/wel_svat_mapping.py index bfe19f05..5cfd6466 100644 --- a/pre-processing/primod/mapping/wel_svat_mapping.py +++ b/pre-processing/primod/mapping/wel_svat_mapping.py @@ -4,7 +4,7 @@ import numpy as np import pandas as pd import xarray as xr -from imod.mf6.mf6_wel_adapter import Mf6Wel +from imod import mf6 from imod.msw.fixed_format import VariableMetaData from numpy.typing import NDArray @@ -38,7 +38,9 @@ class WellSvatMapping(MetaModMapping): _with_subunit = ("wel_id", "svat", "layer") _to_fill = ("free",) - def __init__(self, svat: xr.DataArray, well: Mf6Wel, index: NDArray[Int]): + def __init__( + self, svat: xr.DataArray, well: mf6.WellDisStructured, index: NDArray[Int] + ): super().__init__() self.index = index self.well = well @@ -53,14 +55,10 @@ def _create_well_id( """ Get modflow indices, svats, and layer number for the wells """ - well_cellid = self.well["cellid"] - if len(well_cellid.coords["dim_cellid"]) != 3: - raise TypeError("Coupling to unstructured grids is not supported.") - # Convert to Python's 0-based index - well_layer = well_cellid.sel(dim_cellid="layer").data - well_row = well_cellid.sel(dim_cellid="row").data - 1 - well_column = well_cellid.sel(dim_cellid="column").data - 1 + well_row = self.well["row"] - 1 + well_column = self.well["column"] - 1 + well_layer = self.well["layer"] n_subunit = svat["subunit"].size @@ -73,7 +71,7 @@ def _create_well_id( layer = np.tile(well_layer, (n_subunit, 1)) layer_1d = layer[well_active] - well_id = well_cellid.coords["ncellid"] + 1 + well_id = self.well.dataset.coords["index"] + 1 well_id_1d = np.tile(well_id, (n_subunit, 1))[well_active] return (well_id_1d, well_svat_1d, layer_1d) diff --git a/tests/fixtures/common.py b/tests/fixtures/common.py index f59c488d..f74c0aa5 100644 --- a/tests/fixtures/common.py +++ b/tests/fixtures/common.py @@ -1,7 +1,7 @@ import numpy as np import pandas as pd import xarray as xr -from imod.mf6.mf6_wel_adapter import Mf6Wel, cellid_from_arrays__structured +from imod import mf6 from numpy import float64, int_ from numpy.typing import NDArray @@ -34,7 +34,7 @@ def get_times() -> pd.DatetimeIndex: def create_wells( nrow: int, ncol: int, idomain: xr.DataArray, wel_layer: int | None = None -) -> Mf6Wel: +) -> mf6.WellDisStructured: """ Create wells, deactivate inactive cells. This function wouldn't be necessary if iMOD Python had a package to specify wells based on grids. @@ -59,17 +59,15 @@ def create_wells( rate = np.zeros(ix_active.shape) layer = np.full_like(ix_active, wel_layer) - index = np.arange(ncol * nrow)[~to_deactivate] - cellid = cellid_from_arrays__structured( - layer=layer, row=iy_active, column=ix_active + return mf6.WellDisStructured( + layer=layer, row=iy_active, column=ix_active, rate=rate ) - rate_da = xr.DataArray(rate, coords={"index": index}, dims=("index",)) - return Mf6Wel(cellid=cellid, rate=rate_da) - -def create_wells_max_layer(nrow: int, ncol: int, idomain: xr.DataArray) -> Mf6Wel: +def create_wells_max_layer( + nrow: int, ncol: int, idomain: xr.DataArray +) -> mf6.WellDisStructured: """ Create wells in deepest layer of MODFLOW 6 model """ diff --git a/tests/fixtures/fixture_metaswap.py b/tests/fixtures/fixture_metaswap.py index c65c991a..42c14101 100644 --- a/tests/fixtures/fixture_metaswap.py +++ b/tests/fixtures/fixture_metaswap.py @@ -5,7 +5,6 @@ import pytest_cases import xarray as xr from imod import mf6, msw -from imod.mf6.mf6_wel_adapter import Mf6Wel from numpy import nan from .common import create_wells, get_times, grid_sizes @@ -15,7 +14,7 @@ def metaswap_model( times: list[pd.date_range], area: xr.DataArray, active: xr.DataArray, - well: Mf6Wel, + well: mf6.WellDisStructured, dis: mf6.StructuredDiscretization, unsaturated_database: str, ) -> msw.MetaSwapModel: diff --git a/tests/fixtures/fixture_ribametamod.py b/tests/fixtures/fixture_ribametamod.py index 5c3c8e01..f432b0b3 100644 --- a/tests/fixtures/fixture_ribametamod.py +++ b/tests/fixtures/fixture_ribametamod.py @@ -17,7 +17,7 @@ def make_msw_model( idomain = gwf["GWF_1"]["dis"]["idomain"] if "layer" in idomain.dims: - idomain_layer1 = idomain.sel(layer=1, drop=True) + idomain_layer1 = idomain.sel(layer=1) if nsubunits is None: nsubunits = xr.ones_like(idomain) diff --git a/tests/test_imod_coupler/test_metamod.py b/tests/test_imod_coupler/test_metamod.py index 181d0e08..ac7d343b 100644 --- a/tests/test_imod_coupler/test_metamod.py +++ b/tests/test_imod_coupler/test_metamod.py @@ -209,7 +209,6 @@ def test_metamod_regression( subprocess.run( [imod_coupler_exec_regression, tmp_path_reg / metamod_model._toml_name], check=True, - capture_output=True, ) # Read Modflow 6 output diff --git a/tests/test_primod/test_wel_svat_mapping.py b/tests/test_primod/test_wel_svat_mapping.py index fffc9cba..65f673a9 100644 --- a/tests/test_primod/test_wel_svat_mapping.py +++ b/tests/test_primod/test_wel_svat_mapping.py @@ -3,7 +3,7 @@ import numpy as np import xarray as xr -from imod.mf6.mf6_wel_adapter import Mf6Wel, cellid_from_arrays__structured +from imod import mf6 from numpy.testing import assert_equal from primod.mapping.wel_svat_mapping import WellSvatMapping @@ -34,12 +34,14 @@ def test_simple_model(fixed_format_parser): index = (svat != 0).to_numpy().ravel() # Well - cellid = cellid_from_arrays__structured( - layer=[3, 2, 1], row=[1, 2, 3], column=[2, 2, 2] - ) - well_rate = xr.DataArray([-5.0] * 3, coords={"index": [0, 1, 2]}, dims=("index",)) - well = Mf6Wel( - cellid=cellid, + well_layer = [3, 2, 1] + well_row = [1, 2, 3] + well_column = [2, 2, 2] + well_rate = [-5.0] * 3 + well = mf6.WellDisStructured( + layer=well_layer, + row=well_row, + column=well_column, rate=well_rate, ) @@ -81,10 +83,14 @@ def test_simple_model_1_subunit(fixed_format_parser): index = (svat != 0).to_numpy().ravel() # Well - cellid = cellid_from_arrays__structured(layer=[3, 2], row=[1, 3], column=[2, 2]) - well_rate = xr.DataArray([-5.0] * 2, coords={"index": [0, 1]}, dims=("index",)) - well = Mf6Wel( - cellid=cellid, + well_layer = [3, 2] + well_row = [1, 3] + well_column = [2, 2] + well_rate = [-5.0] * 2 + well = mf6.WellDisStructured( + layer=well_layer, + row=well_row, + column=well_column, rate=well_rate, ) @@ -135,14 +141,14 @@ def test_simple_model_inactive(fixed_format_parser): index = (svat != 0).to_numpy().ravel() # Well - cellid = cellid_from_arrays__structured( - layer=[1, 3, 2, 1], row=[1, 1, 2, 3], column=[1, 2, 2, 2] - ) - well_rate = xr.DataArray( - [-5.0] * 4, coords={"index": [0, 1, 2, 3]}, dims=("index",) - ) - well = Mf6Wel( - cellid=cellid, + well_layer = [1, 3, 2, 1] + well_row = [1, 1, 2, 3] + well_column = [1, 2, 2, 2] + well_rate = [-5.0] * 4 + well = mf6.WellDisStructured( + layer=well_layer, + row=well_row, + column=well_column, rate=well_rate, )