From c30b3f2296cc8f600ca675bcb6916ecb9971a730 Mon Sep 17 00:00:00 2001 From: w-bonelli Date: Sat, 25 Nov 2023 19:29:33 -0500 Subject: [PATCH 01/47] ci(release): update to development version 3.6.0.dev0 --- CITATION.cff | 2 +- README.md | 18 ++++++++++-------- code.json | 4 ++-- docs/PyPI_release.md | 16 +++++++++------- flopy/DISCLAIMER.md | 14 ++++++++------ flopy/version.py | 4 ++-- version.txt | 2 +- 7 files changed, 33 insertions(+), 27 deletions(-) diff --git a/CITATION.cff b/CITATION.cff index 9b28a2660a..ad55e35739 100644 --- a/CITATION.cff +++ b/CITATION.cff @@ -3,7 +3,7 @@ message: If you use this software, please cite both the article from preferred-c references, and the software itself. type: software title: FloPy -version: 3.5.0 +version: 3.6.0.dev0 date-released: '2023-11-25' doi: 10.5066/F7BK19FH abstract: A Python package to create, run, and post-process MODFLOW-based models. diff --git a/README.md b/README.md index 148a295596..fbfb1020dc 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,7 @@ flopy3 -### Version 3.5.0 +### Version 3.6.0.dev0 (preliminary) [![flopy continuous integration](https://github.com/modflowpy/flopy/actions/workflows/commit.yml/badge.svg?branch=develop)](https://github.com/modflowpy/flopy/actions/workflows/commit.yml) [![Read the Docs](https://github.com/modflowpy/flopy/actions/workflows/rtd.yml/badge.svg?branch=develop)](https://github.com/modflowpy/flopy/actions/workflows/rtd.yml) @@ -142,7 +142,7 @@ How to Cite ##### ***Software/Code citation for FloPy:*** -[Bakker, Mark, Post, Vincent, Hughes, J. D., Langevin, C. D., White, J. T., Leaf, A. T., Paulinski, S. R., Bellino, J. C., Morway, E. D., Toews, M. W., Larsen, J. D., Fienen, M. N., Starn, J. J., Brakenhoff, D. A., and Bonelli, W. P., 2023, FloPy v3.5.0: U.S. Geological Survey Software Release, 25 November 2023, https://doi.org/10.5066/F7BK19FH](https://doi.org/10.5066/F7BK19FH) +[Bakker, Mark, Post, Vincent, Hughes, J. D., Langevin, C. D., White, J. T., Leaf, A. T., Paulinski, S. R., Bellino, J. C., Morway, E. D., Toews, M. W., Larsen, J. D., Fienen, M. N., Starn, J. J., Brakenhoff, D. A., and Bonelli, W. P., 2023, FloPy v3.6.0.dev0 (preliminary): U.S. Geological Survey Software Release, 25 November 2023, https://doi.org/10.5066/F7BK19FH](https://doi.org/10.5066/F7BK19FH) Additional FloPy Related Publications @@ -167,10 +167,12 @@ MODFLOW Resources Disclaimer ---------- -This software is provided "as is" and "as-available", and makes no -representations or warranties of any kind concerning the software, whether -express, implied, statutory, or other. This includes, without limitation, -warranties of title, merchantability, fitness for a particular purpose, -non-infringement, absence of latent or other defects, accuracy, or the -presence or absence of errors, whether or not known or discoverable. +This software is preliminary or provisional and is subject to revision. It is +being provided to meet the need for timely best science. This software is +provided "as is" and "as-available", and makes no representations or warranties +of any kind concerning the software, whether express, implied, statutory, or +other. This includes, without limitation, warranties of title, +merchantability, fitness for a particular purpose, non-infringement, absence +of latent or other defects, accuracy, or the presence or absence of errors, +whether or not known or discoverable. diff --git a/code.json b/code.json index 127269ee7d..6bda7fb79e 100644 --- a/code.json +++ b/code.json @@ -1,6 +1,6 @@ [ { - "status": "Release", + "status": "Preliminary", "languages": [ "python" ], @@ -29,7 +29,7 @@ "downloadURL": "https://code.usgs.gov/usgs/modflow/flopy/archive/master.zip", "vcs": "git", "laborHours": -1, - "version": "3.5.0", + "version": "3.6.0.dev0", "date": { "metadataLastUpdated": "2023-11-25" }, diff --git a/docs/PyPI_release.md b/docs/PyPI_release.md index daef4656a8..79a5592967 100644 --- a/docs/PyPI_release.md +++ b/docs/PyPI_release.md @@ -30,16 +30,18 @@ How to Cite *Software/Code citation for FloPy:* -[Bakker, Mark, Post, Vincent, Hughes, J. D., Langevin, C. D., White, J. T., Leaf, A. T., Paulinski, S. R., Bellino, J. C., Morway, E. D., Toews, M. W., Larsen, J. D., Fienen, M. N., Starn, J. J., Brakenhoff, D. A., and Bonelli, W. P., 2023, FloPy v3.5.0: U.S. Geological Survey Software Release, 25 November 2023, https://doi.org/10.5066/F7BK19FH](https://doi.org/10.5066/F7BK19FH) +[Bakker, Mark, Post, Vincent, Hughes, J. D., Langevin, C. D., White, J. T., Leaf, A. T., Paulinski, S. R., Bellino, J. C., Morway, E. D., Toews, M. W., Larsen, J. D., Fienen, M. N., Starn, J. J., Brakenhoff, D. A., and Bonelli, W. P., 2023, FloPy v3.6.0.dev0 (preliminary): U.S. Geological Survey Software Release, 25 November 2023, https://doi.org/10.5066/F7BK19FH](https://doi.org/10.5066/F7BK19FH) Disclaimer ---------- -This software is provided "as is" and "as-available", and makes no -representations or warranties of any kind concerning the software, whether -express, implied, statutory, or other. This includes, without limitation, -warranties of title, merchantability, fitness for a particular purpose, -non-infringement, absence of latent or other defects, accuracy, or the -presence or absence of errors, whether or not known or discoverable. +This software is preliminary or provisional and is subject to revision. It is +being provided to meet the need for timely best science. This software is +provided "as is" and "as-available", and makes no representations or warranties +of any kind concerning the software, whether express, implied, statutory, or +other. This includes, without limitation, warranties of title, +merchantability, fitness for a particular purpose, non-infringement, absence +of latent or other defects, accuracy, or the presence or absence of errors, +whether or not known or discoverable. diff --git a/flopy/DISCLAIMER.md b/flopy/DISCLAIMER.md index 0e68af88f7..81ba20d032 100644 --- a/flopy/DISCLAIMER.md +++ b/flopy/DISCLAIMER.md @@ -1,9 +1,11 @@ Disclaimer ---------- -This software is provided "as is" and "as-available", and makes no -representations or warranties of any kind concerning the software, whether -express, implied, statutory, or other. This includes, without limitation, -warranties of title, merchantability, fitness for a particular purpose, -non-infringement, absence of latent or other defects, accuracy, or the -presence or absence of errors, whether or not known or discoverable. +This software is preliminary or provisional and is subject to revision. It is +being provided to meet the need for timely best science. This software is +provided "as is" and "as-available", and makes no representations or warranties +of any kind concerning the software, whether express, implied, statutory, or +other. This includes, without limitation, warranties of title, +merchantability, fitness for a particular purpose, non-infringement, absence +of latent or other defects, accuracy, or the presence or absence of errors, +whether or not known or discoverable. diff --git a/flopy/version.py b/flopy/version.py index cd9f5f4593..1be1bc98ec 100644 --- a/flopy/version.py +++ b/flopy/version.py @@ -1,3 +1,3 @@ -# flopy version file automatically created using update_version.py on November 25, 2023 15:44:45 +# flopy version file automatically created using update_version.py on November 25, 2023 19:28:31 -__version__ = "3.5.0" +__version__ = "3.6.0.dev0" diff --git a/version.txt b/version.txt index e5b820341f..c05b82dd81 100644 --- a/version.txt +++ b/version.txt @@ -1 +1 @@ -3.5.0 \ No newline at end of file +3.6.0.dev0 \ No newline at end of file From c63bfcaaf5611f3482e00af51e589c7a90ce9e09 Mon Sep 17 00:00:00 2001 From: wpbonelli Date: Sat, 25 Nov 2023 22:32:42 -0500 Subject: [PATCH 02/47] docs(readme): update core/optional dependencies (#2019) * list pandas dependency * minor phrasing updates * interactive get-modflow --- .docs/md/optional_dependencies.md | 2 +- README.md | 16 ++++++++++++---- 2 files changed, 13 insertions(+), 5 deletions(-) diff --git a/.docs/md/optional_dependencies.md b/.docs/md/optional_dependencies.md index bf70055cbd..8f9ae69551 100644 --- a/.docs/md/optional_dependencies.md +++ b/.docs/md/optional_dependencies.md @@ -1,6 +1,6 @@ # Optional dependencies -Additional dependencies to use optional FloPy helper methods are listed below. These may be installed with `pip install flopy[optional]`. +Dependencies for optional features are listed below. These may be installed with `pip install flopy[optional]`. | Method | Python Package | |:-------------------------------------------------------------------------------------|:-------------------------------------------------------------------------| diff --git a/README.md b/README.md index fbfb1020dc..ad2f2c0341 100644 --- a/README.md +++ b/README.md @@ -32,9 +32,17 @@ Documentation Installation ----------------------------------------------- -FloPy requires **Python** 3.8 (or higher), **NumPy** 1.15.0 (or higher), and **matplotlib** 1.4.0 (or higher). Dependencies for optional FloPy methods are summarized [here](.docs/optional_dependencies.md). +FloPy requires **Python** 3.8+ with: -To install FloPy type: +``` +numpy >=1.15.0 +matplotlib >=1.4.0 +pandas >=2.0.0 +``` + +Dependencies for optional features are summarized [here](.docs/optional_dependencies.md). + +To install type: conda install -c conda-forge flopy @@ -47,9 +55,9 @@ The release candidate version can also be installed from the git repository usin After FloPy is installed, MODFLOW and related programs can be installed using the command: - get-modflow :flopy + get-modflow : -See [documentation](.docs/md/get_modflow.md) for more information. +See the [docs](.docs/md/get_modflow.md) for more information. Getting Started From b3510e99b062ba9e950c68db4df95e87375a1ab8 Mon Sep 17 00:00:00 2001 From: wpbonelli Date: Thu, 30 Nov 2023 11:31:10 -0500 Subject: [PATCH 03/47] fix(gridgen): fix add_refinement_feature() shapefile support (#2022) * previously erroneously added ".shp" to caller-provided shapefile names * raise error if features is not a filename or list of geometries * correct/expand docstring * add test case --- autotest/test_gridgen.py | 64 +++++++++++++++++++++- autotest/test_mf6.py | 112 ++++++++++++++++++++++++--------------- flopy/utils/gridgen.py | 16 +++--- 3 files changed, 143 insertions(+), 49 deletions(-) diff --git a/autotest/test_gridgen.py b/autotest/test_gridgen.py index 4063e86ff0..c76bb5dd7d 100644 --- a/autotest/test_gridgen.py +++ b/autotest/test_gridgen.py @@ -1,6 +1,6 @@ import os from pathlib import Path -from shutil import which +from shutil import copyfile, which import matplotlib.pyplot as plt import numpy as np @@ -11,6 +11,7 @@ from modflow_devtools.misc import has_pkg import flopy +from flopy.discretization.vertexgrid import VertexGrid from flopy.utils.gridgen import Gridgen @@ -25,6 +26,67 @@ def test_ctor_accepts_path_or_string(function_tmpdir): assert g.model_ws == function_tmpdir +def base_grid(): + Lx = 100.0 + Ly = 100.0 + nlay = 2 + nrow = 51 + ncol = 51 + delr = Lx / ncol + delc = Ly / nrow + h0 = 10 + h1 = 5 + top = h0 + botm = np.zeros((nlay, nrow, ncol), dtype=np.float32) + botm[1, :, :] = -10.0 + ms = flopy.modflow.Modflow(rotation=-20.0) + dis = flopy.modflow.ModflowDis( + ms, + nlay=nlay, + nrow=nrow, + ncol=ncol, + delr=delr, + delc=delc, + top=top, + botm=botm, + ) + return ms.modelgrid + + +@requires_exe("gridgen") +def test_add_refinement_feature_accepts_filename(function_tmpdir): + # same as 1st grid in .docs/Notebooks/gridgen_example.py + grid = base_grid() + + # create initial refined grid (writing refinement + # feature shapefile to the workspace) + g1 = Gridgen(grid, model_ws=function_tmpdir) + g1.add_refinement_features( + [[[(0, 0), (0, 60), (40, 80), (60, 0), (0, 0)]]], + "polygon", + 1, + range(grid.nlay), + ) + g1.build() + g1 = VertexGrid(**g1.get_gridprops_vertexgrid()) + # g1.plot() + # g1.show() + + # recreate gridgen object, using shapefile from the + # first run + g2 = Gridgen(grid, model_ws=function_tmpdir) + g2.add_refinement_features("rf0.shp", "polygon", 1, range(grid.nlay)) + g2.build() + g2 = VertexGrid(**g2.get_gridprops_vertexgrid()) + # g2.plot() + # plt.show() + + assert g1.nnodes > grid.nnodes + assert g1.ncpl != grid.ncpl + assert g1.ncpl == g2.ncpl + assert g1.nnodes == g2.nnodes + + @pytest.mark.slow @requires_exe("mf6", "gridgen") @requires_pkg("shapely") diff --git a/autotest/test_mf6.py b/autotest/test_mf6.py index 0bf3832f21..487a98a526 100644 --- a/autotest/test_mf6.py +++ b/autotest/test_mf6.py @@ -257,15 +257,15 @@ def to_os_sep(s): def test_load_and_run_sim_when_namefile_uses_filenames( function_tmpdir, example_data_path ): - ws = function_tmpdir / "ws" - ml_name = "freyberg" - nam_name = "mfsim.nam" - nam_path = ws / nam_name - copytree(example_data_path / f"mf6-{ml_name}", ws) + # copy model input files to temp workspace + model_name = "mf6-freyberg" + workspace = function_tmpdir / model_name + copytree(example_data_path / model_name, workspace) - sim = MFSimulation.load(nam_name, sim_ws=ws) + # load, check and run simulation + sim = MFSimulation.load(sim_ws=workspace) sim.check() - success, buff = sim.run_simulation(report=True) + success, _ = sim.run_simulation(report=True) assert success @@ -273,26 +273,28 @@ def test_load_and_run_sim_when_namefile_uses_filenames( def test_load_and_run_sim_when_namefile_uses_abs_paths( function_tmpdir, example_data_path ): - ws = function_tmpdir / "ws" - ml_name = "freyberg" - nam_name = "mfsim.nam" - nam_path = ws / nam_name - copytree(example_data_path / f"mf6-{ml_name}", ws) - - with set_dir(ws): + # copy model input files to temp workspace + model_name = "freyberg" + workspace = function_tmpdir / "ws" + copytree(example_data_path / f"mf6-{model_name}", workspace) + + # sub abs paths into namefile + with set_dir(workspace): + nam_path = workspace / "mfsim.nam" lines = open(nam_path).readlines() with open(nam_path, "w") as f: for l in lines: - pattern = f"{ml_name}." + pattern = f"{model_name}." if pattern in l: l = l.replace( - pattern, str(ws.absolute()) + os.sep + pattern + pattern, str(workspace.absolute()) + os.sep + pattern ) f.write(l) - sim = MFSimulation.load(nam_name, sim_ws=ws) + # load, check and run simulation + sim = MFSimulation.load(sim_ws=workspace) sim.check() - success, buff = sim.run_simulation(report=True) + success, _ = sim.run_simulation(report=True) assert success @@ -301,40 +303,53 @@ def test_load_and_run_sim_when_namefile_uses_abs_paths( def test_load_sim_when_namefile_uses_rel_paths( function_tmpdir, example_data_path, sep ): - ws = function_tmpdir / "ws" - ml_name = "freyberg" - nam_name = "mfsim.nam" - nam_path = ws / nam_name - copytree(example_data_path / f"mf6-{ml_name}", ws) - - with set_dir(ws): + # copy model input files to temp workspace + model_name = "freyberg" + workspace = function_tmpdir / "ws" + copytree(example_data_path / f"mf6-{model_name}", workspace) + + # sub rel paths into namefile + with set_dir(workspace): + nam_path = workspace / "mfsim.nam" lines = open(nam_path).readlines() with open(nam_path, "w") as f: for l in lines: - pattern = f"{ml_name}." + pattern = f"{model_name}." if pattern in l: if sep == "win": l = to_win_sep( l.replace( - pattern, "../" + ws.name + "/" + ml_name + "." + pattern, + "../" + + workspace.name + + "/" + + model_name + + ".", ) ) else: l = to_posix_sep( l.replace( - pattern, "../" + ws.name + "/" + ml_name + "." + pattern, + "../" + + workspace.name + + "/" + + model_name + + ".", ) ) f.write(l) - sim = MFSimulation.load(nam_name, sim_ws=ws) + # load and check simulation + sim = MFSimulation.load(sim_ws=workspace) sim.check() # don't run simulation with Windows sep on Linux or Mac if sep == "win" and platform.system() != "Windows": return - success, buff = sim.run_simulation(report=True) + # run simulation + success, _ = sim.run_simulation(report=True) assert success @@ -343,36 +358,49 @@ def test_load_sim_when_namefile_uses_rel_paths( def test_write_simulation_always_writes_posix_path_separators( function_tmpdir, example_data_path, sep ): - ws = function_tmpdir / "ws" - ml_name = "freyberg" - nam_name = "mfsim.nam" - nam_path = ws / nam_name - copytree(example_data_path / f"mf6-{ml_name}", ws) - - with set_dir(ws): + # copy model input files to temp workspace + model_name = "freyberg" + workspace = function_tmpdir / "ws" + copytree(example_data_path / f"mf6-{model_name}", workspace) + + # use OS-specific path separators + with set_dir(workspace): + nam_path = workspace / "mfsim.nam" lines = open(nam_path).readlines() with open(nam_path, "w") as f: for l in lines: - pattern = f"{ml_name}." + pattern = f"{model_name}." if pattern in l: if sep == "win": l = to_win_sep( l.replace( - pattern, "../" + ws.name + "/" + ml_name + "." + pattern, + "../" + + workspace.name + + "/" + + model_name + + ".", ) ) else: l = to_posix_sep( l.replace( - pattern, "../" + ws.name + "/" + ml_name + "." + pattern, + "../" + + workspace.name + + "/" + + model_name + + ".", ) ) f.write(l) - sim = MFSimulation.load(nam_name, sim_ws=ws) + # load and write simulation + sim = MFSimulation.load(sim_ws=workspace) sim.write_simulation() - lines = open(ws / "mfsim.nam").readlines() + # make sure posix separators were written + lines = open(workspace / "mfsim.nam").readlines() assert all("\\" not in l for l in lines) diff --git a/flopy/utils/gridgen.py b/flopy/utils/gridgen.py index 0e6596c292..bccebd6fe4 100644 --- a/flopy/utils/gridgen.py +++ b/flopy/utils/gridgen.py @@ -406,9 +406,9 @@ def add_refinement_features(self, features, featuretype, level, layers): """ Parameters ---------- - features : str, list, or collection object + features : str or array-like features can be - a string containing the name of a shapefile + a str, the name of a shapefile in the workspace a list of points, lines, or polygons flopy.utils.geometry.Collection object a list of flopy.utils.geometry objects @@ -435,15 +435,19 @@ def add_refinement_features(self, features, featuretype, level, layers): # Create shapefile or set shapefile to feature rfname = f"rf{len(self._rfdict)}" - if isinstance(features, list): + if isinstance(features, str): + shapefile = features + elif isinstance(features, (list, tuple, np.ndarray)): rfname_w_path = os.path.join(self.model_ws, rfname) features_to_shapefile(features, featuretype, rfname_w_path) - shapefile = rfname + shapefile = f"{rfname}.shp" else: - shapefile = features + raise ValueError( + f"Features must be str (shapefile name) or array-like (of geometries)" + ) self._rfdict[rfname] = [shapefile, featuretype, level] - sn = os.path.join(self.model_ws, f"{shapefile}.shp") + sn = os.path.join(self.model_ws, shapefile) assert os.path.isfile(sn), f"Shapefile does not exist: {sn}" for k in layers: From 0f33a22f1a01a46949cbb56b61bf41a0c73d78f2 Mon Sep 17 00:00:00 2001 From: Mike Taves Date: Fri, 1 Dec 2023 16:10:45 +1300 Subject: [PATCH 04/47] refactor(.gitattributes): Configure github-linguist exclusions (#2023) --- .gitattributes | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/.gitattributes b/.gitattributes index 21543a50ab..a22b7eb1de 100644 --- a/.gitattributes +++ b/.gitattributes @@ -17,5 +17,7 @@ examples/data/** binary .docs/groundwater_paper/uspb/** binary -# Exclude example data folder -examples/data/** linguist-documentation +# Configure github-linguist exclusions +*.bas -linguist-detectable +.docs/** linguist-documentation +docs/** linguist-documentation From 51109751cf0f6c4ebfbc70ccf0ba0ced7fabd4b8 Mon Sep 17 00:00:00 2001 From: wpbonelli Date: Mon, 4 Dec 2023 14:55:09 -0500 Subject: [PATCH 05/47] fix(gridgen): support arbitrary path-like for shapefiles (#2026) * allow specifying features by shapefile filename (str) or pathlike * resolve shapefiles paths relative to workspace in gridgen config * remove unneeded shutil import from gridgen notebook * use ValueError instead of Exception where appropriate --- .docs/Notebooks/gridgen_example.py | 1 - autotest/test_gridgen.py | 135 ++++++++++++++++++++------- flopy/utils/gridgen.py | 145 ++++++++++++++++------------- 3 files changed, 179 insertions(+), 102 deletions(-) diff --git a/.docs/Notebooks/gridgen_example.py b/.docs/Notebooks/gridgen_example.py index c02616408d..bcca0f08e1 100644 --- a/.docs/Notebooks/gridgen_example.py +++ b/.docs/Notebooks/gridgen_example.py @@ -25,7 +25,6 @@ # + import os -import shutil import sys from tempfile import TemporaryDirectory diff --git a/autotest/test_gridgen.py b/autotest/test_gridgen.py index c76bb5dd7d..3eedb0cc8d 100644 --- a/autotest/test_gridgen.py +++ b/autotest/test_gridgen.py @@ -1,6 +1,6 @@ import os from pathlib import Path -from shutil import copyfile, which +from shutil import which import matplotlib.pyplot as plt import numpy as np @@ -11,12 +11,13 @@ from modflow_devtools.misc import has_pkg import flopy +from flopy.discretization.unstructuredgrid import UnstructuredGrid from flopy.discretization.vertexgrid import VertexGrid from flopy.utils.gridgen import Gridgen @requires_exe("gridgen") -def test_ctor_accepts_path_or_string(function_tmpdir): +def test_ctor_accepts_path_or_string_model_ws(function_tmpdir): grid = GridCases().structured_small() g = Gridgen(grid, model_ws=function_tmpdir) @@ -26,12 +27,15 @@ def test_ctor_accepts_path_or_string(function_tmpdir): assert g.model_ws == function_tmpdir -def base_grid(): +def get_structured_grid(): + """Get a small version of the first grid in: + .docs/Notebooks/gridgen_example.py""" + Lx = 100.0 Ly = 100.0 nlay = 2 - nrow = 51 - ncol = 51 + nrow = 11 + ncol = 11 delr = Lx / ncol delc = Ly / nrow h0 = 10 @@ -54,37 +58,96 @@ def base_grid(): @requires_exe("gridgen") -def test_add_refinement_feature_accepts_filename(function_tmpdir): - # same as 1st grid in .docs/Notebooks/gridgen_example.py - grid = base_grid() - - # create initial refined grid (writing refinement - # feature shapefile to the workspace) - g1 = Gridgen(grid, model_ws=function_tmpdir) - g1.add_refinement_features( - [[[(0, 0), (0, 60), (40, 80), (60, 0), (0, 0)]]], - "polygon", - 1, - range(grid.nlay), - ) - g1.build() - g1 = VertexGrid(**g1.get_gridprops_vertexgrid()) - # g1.plot() - # g1.show() - - # recreate gridgen object, using shapefile from the - # first run - g2 = Gridgen(grid, model_ws=function_tmpdir) - g2.add_refinement_features("rf0.shp", "polygon", 1, range(grid.nlay)) - g2.build() - g2 = VertexGrid(**g2.get_gridprops_vertexgrid()) - # g2.plot() - # plt.show() - - assert g1.nnodes > grid.nnodes - assert g1.ncpl != grid.ncpl - assert g1.ncpl == g2.ncpl - assert g1.nnodes == g2.nnodes +# GRIDGEN seems not to like paths containing "[" or "]", as +# function_tmpdir does with parametrization, do it manually +# @pytest.mark.parametrize("grid_type", ["vertex", "unstructured"]) +def test_add_active_domain(function_tmpdir): # , grid_type): + bgrid = get_structured_grid() + + # test providing active domain various ways + for grid_type in ["vertex", "unstructured"]: + grids = [] + for feature in [ + [[[(0, 0), (0, 60), (40, 80), (60, 0), (0, 0)]]], + function_tmpdir / "ad0.shp", + function_tmpdir / "ad0", + "ad0.shp", + "ad0", + ]: + print( + "Testing add_active_domain() for", + grid_type, + "grid with features", + feature, + ) + gridgen = Gridgen(bgrid, model_ws=function_tmpdir) + gridgen.add_active_domain( + feature, + range(bgrid.nlay), + ) + gridgen.build() + grid = ( + VertexGrid(**gridgen.get_gridprops_vertexgrid()) + if grid_type == "vertex" + else UnstructuredGrid( + **gridgen.get_gridprops_unstructuredgrid() + ) + ) + grid.plot() + grids.append(grid) + # plt.show() + + assert grid.nnodes < bgrid.nnodes + assert not np.array_equal(grid.ncpl, bgrid.ncpl) + assert all(np.array_equal(grid.ncpl, g.ncpl) for g in grids) + assert all(grid.nnodes == g.nnodes for g in grids) + + +@requires_exe("gridgen") +# GRIDGEN seems not to like paths containing "[" or "]", as +# function_tmpdir does with parametrization, do it manually +# @pytest.mark.parametrize("grid_type", ["vertex", "unstructured"]) +def test_add_refinement_feature(function_tmpdir): # , grid_type): + bgrid = get_structured_grid() + + # test providing refinement feature various ways + for grid_type in ["vertex", "unstructured"]: + grids = [] + for features in [ + [[[(0, 0), (0, 60), (40, 80), (60, 0), (0, 0)]]], + function_tmpdir / "rf0.shp", + function_tmpdir / "rf0", + "rf0.shp", + "rf0", + ]: + print( + "Testing add_refinement_feature() for", + grid_type, + "grid with features", + features, + ) + gridgen = Gridgen(bgrid, model_ws=function_tmpdir) + gridgen.add_refinement_features( + features, + "polygon", + 1, + range(bgrid.nlay), + ) + gridgen.build() + grid = ( + VertexGrid(**gridgen.get_gridprops_vertexgrid()) + if grid_type == "vertex" + else UnstructuredGrid( + **gridgen.get_gridprops_unstructuredgrid() + ) + ) + grid.plot() + # plt.show() + + assert grid.nnodes > bgrid.nnodes + assert not np.array_equal(grid.ncpl, bgrid.ncpl) + assert all(np.array_equal(grid.ncpl, g.ncpl) for g in grids) + assert all(grid.nnodes == g.nnodes for g in grids) @pytest.mark.slow diff --git a/flopy/utils/gridgen.py b/flopy/utils/gridgen.py index bccebd6fe4..d8033b25f9 100644 --- a/flopy/utils/gridgen.py +++ b/flopy/utils/gridgen.py @@ -13,6 +13,7 @@ from ..mfusg.mfusgdisu import MfUsgDisU from ..modflow import ModflowDis from ..utils import import_optional_dependency +from ..utils.flopy_io import relpath_safe from .util_array import Util2d # read1d, # todo @@ -57,7 +58,7 @@ def features_to_shapefile( featuretype : str Must be 'point', 'line', 'linestring', or 'polygon' filename : str or PathLike - Path of the shapefile to write + The shapefile to write (extension is optional) Returns ------- @@ -79,7 +80,7 @@ def features_to_shapefile( "linestring", "polygon", ]: - raise Exception(f"Unrecognized feature type: {featuretype}") + raise ValueError(f"Unrecognized feature type: {featuretype}") if featuretype.lower() in ("line", "linestring"): wr = shapefile.Writer(str(filename), shapeType=shapefile.POLYLINE) @@ -255,10 +256,9 @@ def __init__( # Set default surface interpolation for all surfaces (nlay + 1) surface_interpolation = surface_interpolation.upper() if surface_interpolation not in ["INTERPOLATE", "REPLICATE"]: - raise Exception( - "Error. Unknown surface interpolation method: " - "{}. Must be INTERPOLATE or " - "REPLICATE".format(surface_interpolation) + raise ValueError( + f"Unknown surface interpolation method {surface_interpolation}, " + "expected 'INTERPOLATE' or 'REPLICATE'" ) self.surface_interpolation = [ surface_interpolation for k in range(self.nlay + 1) @@ -284,9 +284,7 @@ def __init__( # Set up a blank _refinement_features list with empty list for # each layer self._rfdict = {} - self._refinement_features = [] - for k in range(self.nlay): - self._refinement_features.append([]) + self._refinement_features = [[] for _ in range(self.nlay)] # Set up blank _elev and _elev_extent dictionaries self._asciigrid_dict = {} @@ -317,10 +315,10 @@ def set_surface_interpolation( assert 0 <= isurf <= self.nlay + 1 type = type.upper() if type not in ["INTERPOLATE", "REPLICATE", "ASCIIGRID"]: - raise Exception( - "Error. Unknown surface interpolation type: " - "{}. Must be INTERPOLATE or " - "REPLICATE".format(type) + raise ValueError( + "Unknown surface interpolation type " + f"{type}, expected 'INTERPOLATE'," + "'REPLICATE', or 'ASCIIGRID'" ) else: self.surface_interpolation[isurf] = type @@ -328,16 +326,14 @@ def set_surface_interpolation( if type == "ASCIIGRID": if isinstance(elev, np.ndarray): if elev_extent is None: - raise Exception( - "Error. ASCIIGRID was specified but " - "elev_extent was not." + raise ValueError( + "ASCIIGRID was specified but elev_extent was not." ) try: xmin, xmax, ymin, ymax = elev_extent except: - raise Exception( - "Cannot cast elev_extent into xmin, xmax, " - "ymin, ymax: {}".format(elev_extent) + raise ValueError( + f"Cannot unpack elev_extent as tuple (xmin, xmax, ymin, ymax): {elev_extent}" ) nm = f"_gridgen.lay{isurf}.asc" @@ -347,31 +343,41 @@ def set_surface_interpolation( elif isinstance(elev, str): if not os.path.isfile(os.path.join(self.model_ws, elev)): - raise Exception( - "Error. elev is not a valid file: " - "{}".format(os.path.join(self.model_ws, elev)) + raise ValueError( + f"Elevation file not found: {os.path.join(self.model_ws, elev)}" ) self._asciigrid_dict[isurf] = elev else: - raise Exception( - "Error. ASCIIGRID was specified but " - "elev was not specified as a numpy ndarray or" - "valid asciigrid file." + raise ValueError( + "ASCIIGRID was specified but elevation was not provided as a numpy ndarray or asciigrid file." ) + def resolve_shapefile_path(self, p): + def _resolve(p): + # try expanding absolute path + path = Path(p).expanduser().absolute() + # try looking in workspace + return path if path.is_file() else self.model_ws / p + + path = _resolve(p) + path = ( + path if path.is_file() else _resolve(Path(p).with_suffix(".shp")) + ) + return path if path.is_file() else None + def add_active_domain(self, feature, layers): """ Parameters ---------- - feature : str or list + feature : str, path-like or array-like feature can be: - a string containing the name of a polygon - a list of polygons - flopy.utils.geometry.Collection object of Polygons - shapely.geometry.Collection object of Polygons - geojson.GeometryCollection object of Polygons - list of shapefile.Shape objects - shapefile.Shapes object + a shapefile name (str) or Pathlike + a list of polygons + a flopy.utils.geometry.Collection object of Polygons + a shapely.geometry.Collection object of Polygons + a geojson.GeometryCollection object of Polygons + a list of shapefile.Shape objects + a shapefile.Shapes object layers : list A list of layers (zero based) for which this active domain applies. @@ -385,37 +391,43 @@ def add_active_domain(self, feature, layers): self.nodes = 0 self.nja = 0 - # Create shapefile or set shapefile to feature - adname = f"ad{len(self._addict)}" - if isinstance(feature, list): - # Create a shapefile - adname_w_path = os.path.join(self.model_ws, adname) - features_to_shapefile(feature, "polygon", adname_w_path) - shapefile = adname + # expand shapefile path or create one from polygon feature + if isinstance(feature, (str, os.PathLike)): + shapefile_path = self.resolve_shapefile_path(feature) + elif isinstance(feature, (list, tuple, np.ndarray)): + shapefile_path = self.model_ws / f"ad{len(self._addict)}.shp" + features_to_shapefile(feature, "polygon", shapefile_path) else: - shapefile = feature + raise ValueError( + f"Feature must be a pathlike (shapefile) or array-like of geometries" + ) - self._addict[adname] = shapefile - sn = os.path.join(self.model_ws, f"{shapefile}.shp") - assert os.path.isfile(sn), f"Shapefile does not exist: {sn}" + # make sure shapefile exists + assert ( + shapefile_path and shapefile_path.is_file() + ), f"Shapefile does not exist: {shapefile_path}" + # store shapefile info + self._addict[shapefile_path.stem] = relpath_safe( + shapefile_path, self.model_ws + ) for k in layers: - self._active_domain[k] = adname + self._active_domain[k] = shapefile_path.stem def add_refinement_features(self, features, featuretype, level, layers): """ Parameters ---------- - features : str or array-like + features : str, path-like or array-like features can be - a str, the name of a shapefile in the workspace + a shapefile name (str) or Pathlike a list of points, lines, or polygons - flopy.utils.geometry.Collection object + a flopy.utils.geometry.Collection object a list of flopy.utils.geometry objects - shapely.geometry.Collection object - geojson.GeometryCollection object + a shapely.geometry.Collection object + a geojson.GeometryCollection object a list of shapefile.Shape objects - shapefile.Shapes object + a shapefile.Shapes object featuretype : str Must be either 'point', 'line', or 'polygon' level : int @@ -434,24 +446,29 @@ def add_refinement_features(self, features, featuretype, level, layers): self.nja = 0 # Create shapefile or set shapefile to feature - rfname = f"rf{len(self._rfdict)}" - if isinstance(features, str): - shapefile = features + if isinstance(features, (str, os.PathLike)): + shapefile_path = self.resolve_shapefile_path(features) elif isinstance(features, (list, tuple, np.ndarray)): - rfname_w_path = os.path.join(self.model_ws, rfname) - features_to_shapefile(features, featuretype, rfname_w_path) - shapefile = f"{rfname}.shp" + shapefile_path = self.model_ws / f"rf{len(self._rfdict)}.shp" + features_to_shapefile(features, featuretype, shapefile_path) else: raise ValueError( - f"Features must be str (shapefile name) or array-like (of geometries)" + f"Features must be a pathlike (shapefile) or array-like of geometries" ) - self._rfdict[rfname] = [shapefile, featuretype, level] - sn = os.path.join(self.model_ws, shapefile) - assert os.path.isfile(sn), f"Shapefile does not exist: {sn}" + # make sure shapefile exists + assert ( + shapefile_path and shapefile_path.is_file() + ), f"Shapefile does not exist: {shapefile_path}" + # store shapefile info + self._rfdict[shapefile_path.stem] = [ + relpath_safe(shapefile_path, self.model_ws), + featuretype, + level, + ] for k in layers: - self._refinement_features[k].append(rfname) + self._refinement_features[k].append(shapefile_path.stem) def build(self, verbose=False): """ @@ -664,8 +681,6 @@ def export(self, verbose=False): buff, ) - return - def plot( self, ax=None, From 788a8df62b1519a621c2721bec12f75cfb11a8d7 Mon Sep 17 00:00:00 2001 From: scottrp <45947939+scottrp@users.noreply.github.com> Date: Mon, 4 Dec 2023 12:05:54 -0800 Subject: [PATCH 06/47] fix(subpackages): fixed detection issue of subpackages in some filein records (#2025) --- autotest/test_mf6.py | 32 ++++++++++++++++++++++++++++++++ flopy/mf6/mfpackage.py | 1 - 2 files changed, 32 insertions(+), 1 deletion(-) diff --git a/autotest/test_mf6.py b/autotest/test_mf6.py index 487a98a526..5e848a2f68 100644 --- a/autotest/test_mf6.py +++ b/autotest/test_mf6.py @@ -49,6 +49,7 @@ ModflowNam, ModflowTdis, ModflowUtllaktab, + ModflowUtlspca, ) from flopy.mf6.coordinates.modeldimensions import ( DataDimensions, @@ -2230,6 +2231,37 @@ def test_multi_model(function_tmpdir): assert fi_out[1][2] is None assert fi_out[2][2] == "MIXED" + spca1 = ModflowUtlspca( + gwt2, + filename="gwt_model_1.rch1.spc", + print_input=True + ) + spca2 = ModflowUtlspca( + gwt2, + filename="gwt_model_1.rch2.spc", + print_input=False + ) + spca3 = ModflowUtlspca( + gwt2, + filename="gwt_model_1.rch3.spc", + print_input=True + ) + spca4 = ModflowUtlspca( + gwt2, + filename="gwt_model_1.rch4.spc", + print_input=True + ) + + # test writing and loading spca packages + sim2.write_simulation() + sim3 = MFSimulation.load(sim_ws=sim2.sim_path) + gwt3 = sim3.get_model("gwt_model_1") + spc1 = gwt3.get_package("gwt_model_1.rch1.spc") + assert isinstance(spc1, ModflowUtlspca) + assert spc1.print_input.get_data() is True + spc2 = gwt3.get_package("gwt_model_1.rch2.spc") + assert spc2.print_input.get_data() is not True + # create a new gwt model sourcerecarray = [("WEL-1", "AUX", "CONCENTRATION")] gwt_2 = get_gwt_model( diff --git a/flopy/mf6/mfpackage.py b/flopy/mf6/mfpackage.py index 747f1f6919..d7dcaabcea 100644 --- a/flopy/mf6/mfpackage.py +++ b/flopy/mf6/mfpackage.py @@ -1225,7 +1225,6 @@ def _get_package_info(self, dataset): ) return package_info_list - return None return None def _add_to_info_list( From c223c97679fff95f4f6010ebe59625564712b960 Mon Sep 17 00:00:00 2001 From: wpbonelli Date: Tue, 5 Dec 2023 11:59:03 -0500 Subject: [PATCH 07/47] test: mark gridgen tests needing pyshp (#2028) --- autotest/test_gridgen.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/autotest/test_gridgen.py b/autotest/test_gridgen.py index 3eedb0cc8d..a45bd3498c 100644 --- a/autotest/test_gridgen.py +++ b/autotest/test_gridgen.py @@ -58,6 +58,7 @@ def get_structured_grid(): @requires_exe("gridgen") +@requires_pkg("shapefile") # GRIDGEN seems not to like paths containing "[" or "]", as # function_tmpdir does with parametrization, do it manually # @pytest.mark.parametrize("grid_type", ["vertex", "unstructured"]) @@ -104,6 +105,7 @@ def test_add_active_domain(function_tmpdir): # , grid_type): @requires_exe("gridgen") +@requires_pkg("shapefile") # GRIDGEN seems not to like paths containing "[" or "]", as # function_tmpdir does with parametrization, do it manually # @pytest.mark.parametrize("grid_type", ["vertex", "unstructured"]) From a8800396b987e676bf0710a9d52a8cdce7b4d13f Mon Sep 17 00:00:00 2001 From: scottrp <45947939+scottrp@users.noreply.github.com> Date: Tue, 5 Dec 2023 14:02:44 -0800 Subject: [PATCH 08/47] fix(recarrays with cellid): fixes bug when setting data as recarrays with cellids (#2029) * fix(subpackages): fixed detection issue of subpackages in some filein records * fix(recarray cellid): fixed problem when setting data with a recarray with layer/row/column fields (instead of cellid tuple) * fix * fix --- autotest/test_mf6.py | 53 +++++++++++++++++------- flopy/mf6/coordinates/modeldimensions.py | 8 ++-- flopy/mf6/data/mfdatastorage.py | 12 +++++- 3 files changed, 52 insertions(+), 21 deletions(-) diff --git a/autotest/test_mf6.py b/autotest/test_mf6.py index 5e848a2f68..080c939301 100644 --- a/autotest/test_mf6.py +++ b/autotest/test_mf6.py @@ -1685,12 +1685,41 @@ def test_sfr_connections(function_tmpdir, example_data_path): # reload simulation sim2 = MFSimulation.load(sim_ws=sim_ws) - sim.set_all_data_external() - sim.write_simulation() - success, buff = sim.run_simulation() + sim2.set_all_data_external() + sim2.write_simulation() + success, buff = sim2.run_simulation() assert ( success - ), f"simulation {sim.name} did not run after being reloaded" + ), f"simulation {sim2.name} did not run after being reloaded" + + # test sfr recarray data + model2 = sim2.get_model() + sfr2 = model2.get_package("sfr") + sfr_pd = sfr2.packagedata + rec_data = [ + (0, 0, 0, 0, 1.0, 1.0, 0.01, 10.0, 1.0, 1.0, 1.0, 1, 1.0, 0), + (1, 0, 1, 0, 1.0, 1.0, 0.01, 10.0, 1.0, 1.0, 1.0, 2, 1.0, 0), + ] + rec_type = [ + ("ifno", int), + ("layer", int), + ("row", int), + ("column", int), + ("rlen", float), + ("rwid", float), + ("rgrd", float), + ("rtp", float), + ("rbth", float), + ("rhk", float), + ("man", float), + ("nconn", int), + ("ustrf", float), + ("nvd", int), + ] + pkg_data = np.rec.array(rec_data, rec_type) + sfr_pd.set_record({"data": pkg_data}) + data = sfr_pd.get_data() + assert data[0][1] == (0, 0, 0) @requires_exe("mf6") @@ -2232,24 +2261,16 @@ def test_multi_model(function_tmpdir): assert fi_out[2][2] == "MIXED" spca1 = ModflowUtlspca( - gwt2, - filename="gwt_model_1.rch1.spc", - print_input=True + gwt2, filename="gwt_model_1.rch1.spc", print_input=True ) spca2 = ModflowUtlspca( - gwt2, - filename="gwt_model_1.rch2.spc", - print_input=False + gwt2, filename="gwt_model_1.rch2.spc", print_input=False ) spca3 = ModflowUtlspca( - gwt2, - filename="gwt_model_1.rch3.spc", - print_input=True + gwt2, filename="gwt_model_1.rch3.spc", print_input=True ) spca4 = ModflowUtlspca( - gwt2, - filename="gwt_model_1.rch4.spc", - print_input=True + gwt2, filename="gwt_model_1.rch4.spc", print_input=True ) # test writing and loading spca packages diff --git a/flopy/mf6/coordinates/modeldimensions.py b/flopy/mf6/coordinates/modeldimensions.py index c41003592b..5b9460ecf8 100644 --- a/flopy/mf6/coordinates/modeldimensions.py +++ b/flopy/mf6/coordinates/modeldimensions.py @@ -615,10 +615,10 @@ def _resolve_data_item_shape( if data is None: if ( self.simulation_data.verbosity_level.value - >= VerbosityLevel.normal.value + >= VerbosityLevel.verbose.value ): print( - "WARNING: Unable to resolve " + "INFORMATION: Unable to resolve " "dimension of {} based on shape " '"{}".'.format( data_item_struct.path, item[0] @@ -651,10 +651,10 @@ def _resolve_data_item_shape( else: if ( self.simulation_data.verbosity_level.value - >= VerbosityLevel.normal.value + >= VerbosityLevel.verbose.value ): print( - "WARNING: Unable to resolve " + "INFORMATION: Unable to resolve " "dimension of {} based on shape " '"{}".'.format( data_item_struct.path, item[0] diff --git a/flopy/mf6/data/mfdatastorage.py b/flopy/mf6/data/mfdatastorage.py index fa0836076e..8fef1c2b7e 100644 --- a/flopy/mf6/data/mfdatastorage.py +++ b/flopy/mf6/data/mfdatastorage.py @@ -1276,6 +1276,10 @@ def store_internal( self.layer_storage.first_item().data_storage_type = ( DataStorageType.internal_array ) + if data is None or isinstance(data, np.recarray): + if not self.tuple_cellids(data): + # fix data so cellid is a single tuple + data = self.make_tuple_cellids(data.tolist()) if data is None or isinstance(data, np.recarray): if self._simulation_data.verify_data and check_data: self._verify_list(data) @@ -1602,9 +1606,15 @@ def make_tuple_cellids(self, data): return new_data def tuple_cellids(self, data): + if data is None or len(data) == 0: + return True for data_entry, cellid in zip(data[0], self.recarray_cellid_list): if cellid: - if isinstance(data_entry, int): + if ( + isinstance(data_entry, int) + or isinstance(data_entry, np.int32) + or isinstance(data_entry, np.int64) + ): # cellid is stored in separate columns in the recarray # (eg: one column for layer one column for row and # one columne for column) From 9c6c2343373261c989a223a6390d2718f4ceb3f7 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Wed, 6 Dec 2023 21:25:36 -0500 Subject: [PATCH 09/47] chore(deps): bump actions/setup-python from 4 to 5 (#2030) --- .github/workflows/benchmark.yml | 2 +- .github/workflows/commit.yml | 6 +++--- .github/workflows/mf6.yml | 2 +- .github/workflows/optional.yml | 2 +- .github/workflows/release.yml | 4 ++-- .github/workflows/rtd.yml | 2 +- 6 files changed, 9 insertions(+), 9 deletions(-) diff --git a/.github/workflows/benchmark.yml b/.github/workflows/benchmark.yml index d7a849614e..63fb87ce69 100644 --- a/.github/workflows/benchmark.yml +++ b/.github/workflows/benchmark.yml @@ -80,7 +80,7 @@ jobs: uses: actions/checkout@v4 - name: Setup Python - uses: actions/setup-python@v4 + uses: actions/setup-python@v5 with: python-version: 3.12 cache: 'pip' diff --git a/.github/workflows/commit.yml b/.github/workflows/commit.yml index d151a4319d..000cb68952 100644 --- a/.github/workflows/commit.yml +++ b/.github/workflows/commit.yml @@ -18,7 +18,7 @@ jobs: uses: actions/checkout@v4 - name: Setup Python - uses: actions/setup-python@v4 + uses: actions/setup-python@v5 with: python-version: 3.8 cache: 'pip' @@ -50,7 +50,7 @@ jobs: uses: actions/checkout@v4 - name: Setup Python - uses: actions/setup-python@v4 + uses: actions/setup-python@v5 with: python-version: 3.8 cache: 'pip' @@ -108,7 +108,7 @@ jobs: uses: actions/checkout@v4 - name: Setup Python - uses: actions/setup-python@v4 + uses: actions/setup-python@v5 with: python-version: ${{ env.PYTHON_VERSION }} cache: 'pip' diff --git a/.github/workflows/mf6.yml b/.github/workflows/mf6.yml index b48b02f753..4489c41b22 100644 --- a/.github/workflows/mf6.yml +++ b/.github/workflows/mf6.yml @@ -25,7 +25,7 @@ jobs: uses: actions/checkout@v4 - name: Setup Python - uses: actions/setup-python@v4 + uses: actions/setup-python@v5 with: python-version: 3.9 cache: 'pip' diff --git a/.github/workflows/optional.yml b/.github/workflows/optional.yml index ee29136542..ca4040b8a1 100644 --- a/.github/workflows/optional.yml +++ b/.github/workflows/optional.yml @@ -25,7 +25,7 @@ jobs: uses: actions/checkout@v4 - name: Setup Python - uses: actions/setup-python@v4 + uses: actions/setup-python@v5 with: python-version: ${{ env.PYTHON_VERSION }} cache: 'pip' diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml index 2377832112..0d96f26b7f 100644 --- a/.github/workflows/release.yml +++ b/.github/workflows/release.yml @@ -25,7 +25,7 @@ jobs: fetch-depth: 0 - name: Setup Python - uses: actions/setup-python@v4 + uses: actions/setup-python@v5 with: python-version: 3.8 cache: 'pip' @@ -211,7 +211,7 @@ jobs: ref: master - name: Setup Python - uses: actions/setup-python@v4 + uses: actions/setup-python@v5 with: python-version: 3.8 cache: 'pip' diff --git a/.github/workflows/rtd.yml b/.github/workflows/rtd.yml index f7e8c3be0d..af6cc0749b 100644 --- a/.github/workflows/rtd.yml +++ b/.github/workflows/rtd.yml @@ -33,7 +33,7 @@ jobs: echo $GITHUB_EVENT_NAME - name: Setup Python - uses: actions/setup-python@v4 + uses: actions/setup-python@v5 with: python-version: 3.8 cache: 'pip' From 44abb51b4fb2034d94d82cf686f44c3ddf238a1f Mon Sep 17 00:00:00 2001 From: wpbonelli Date: Thu, 7 Dec 2023 14:51:55 -0500 Subject: [PATCH 10/47] feat(Mf6Splitter): preserve MFSimulation version & exe_name (#2033) --- flopy/mf6/utils/model_splitter.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/flopy/mf6/utils/model_splitter.py b/flopy/mf6/utils/model_splitter.py index c5eafd46ae..fc8f8c0e5a 100644 --- a/flopy/mf6/utils/model_splitter.py +++ b/flopy/mf6/utils/model_splitter.py @@ -3262,7 +3262,9 @@ def split_model(self, array): self._remap_nodes(array) if self._new_sim is None: - self._new_sim = modflow.MFSimulation() + self._new_sim = modflow.MFSimulation( + version=self._sim.version, exe_name=self._sim.exe_name + ) self._create_sln_tdis() nam_options = {} From 5a4533bf115dc4876a811b11d87d353ae01da8ea Mon Sep 17 00:00:00 2001 From: Joshua Larsen Date: Thu, 7 Dec 2023 14:29:20 -0800 Subject: [PATCH 11/47] update(remap_array): trap for None type idomain (#2034) * reset mfarray value for idomain to constant 1 if idomain is unspecified --- autotest/test_model_splitter.py | 109 ++++++++++++++++++++++++++++++ flopy/mf6/utils/model_splitter.py | 5 +- 2 files changed, 113 insertions(+), 1 deletion(-) diff --git a/autotest/test_model_splitter.py b/autotest/test_model_splitter.py index f7dca705e5..453a6ca167 100644 --- a/autotest/test_model_splitter.py +++ b/autotest/test_model_splitter.py @@ -582,3 +582,112 @@ def test_transient_array(function_tmpdir): "storage package transient dictionary " + f"does not match for model '{name}'" ) + + +@requires_exe("mf6") +def test_idomain_none(function_tmpdir): + name = "id_test" + sim_path = function_tmpdir + new_sim_path = function_tmpdir / f"{name}_split_model" + + tdis_data = [ + (0., 1, 1.0), + (300000., 1, 1.0), + (36500., 10, 1.5), + (300000, 1, 1.0), + ] + + nper = len(tdis_data) + nlay, nrow, ncol = 3, 21, 20 + xlen, ylen = 10000., 10500. + delc = ylen / nrow + delr = xlen / ncol + + top = 400. + botm = [220., 200., 0] + K11 = [50., 0.01, 200.] + K33 = [10., 0.01, 20.] + Ss, Sy = 0.0001, 0.1 + H_east = 320. + recharge = 0.005 + idomain = None + + sim = flopy.mf6.MFSimulation(sim_name=name, sim_ws=sim_path) + tdis = flopy.mf6.ModflowTdis( + sim, nper=nper, perioddata=tdis_data, time_units="days" + ) + ims = flopy.mf6.ModflowIms( + sim, + complexity="simple", + print_option="all", + outer_dvclose=1e-6, + inner_dvclose=1e-6 + ) + + gwf = flopy.mf6.ModflowGwf(sim, modelname=name, save_flows=True) + dis = flopy.mf6.ModflowGwfdis( + gwf, + nlay=nlay, + nrow=nrow, + ncol=ncol, + delr=delr, + delc=delc, + top=top, + botm=botm, + length_units="meters", + idomain=idomain + ) + npf = flopy.mf6.ModflowGwfnpf( + gwf, icelltype=1, save_specific_discharge=True, k=K11, k33=K33 + ) + sto = flopy.mf6.ModflowGwfsto( + gwf, + iconvert=1, + ss=Ss, + sy=Sy, + steady_state={0: True, 3: True}, + transient={2: True} + ) + ic = flopy.mf6.ModflowGwfic(gwf, strt=top) + oc = flopy.mf6.ModflowGwfoc( + gwf, + head_filerecord=f"{name}.hds", + budget_filerecord=f"{name}.cbc", + saverecord={0: [("head", "all"), ("budget", "all")]} + ) + rch = flopy.mf6.ModflowGwfrcha(gwf, recharge=recharge) + + chd_spd = [(0, i, ncol - 1, H_east) for i in range(nrow)] + chd = flopy.mf6.ModflowGwfchd(gwf, stress_period_data=chd_spd) + + well_spd = { + 1: [(0, 10, 9, -75000.)], + 2: [ + (0, 10, 9, -75000.), + (2, 12, 4, -100000.) + ], + } + wel = flopy.mf6.ModflowGwfwel(gwf, stress_period_data=well_spd) + sim.write_simulation() + sim.run_simulation() + + ms = Mf6Splitter(sim) + sarr = ms.optimize_splitting_mask(3) + new_sim = ms.split_model(sarr) + new_sim.set_sim_path(new_sim_path) + new_sim.write_simulation() + new_sim.run_simulation() + + kstpkper = (9, 2) + head = gwf.output.head().get_data(kstpkper=kstpkper) + head_dict = {} + for idx, modelname in enumerate(new_sim.model_names): + mnum = int(modelname.split("_")[-1]) + h = new_sim.get_model(modelname).output.head().get_data( + kstpkper=kstpkper) + head_dict[mnum] = h + new_head = ms.reconstruct_array(head_dict) + + err_msg = "Heads from original and split models do not match" + np.testing.assert_allclose(new_head, head, atol=1e-07, err_msg=err_msg) + diff --git a/flopy/mf6/utils/model_splitter.py b/flopy/mf6/utils/model_splitter.py index fc8f8c0e5a..9777a7d88f 100644 --- a/flopy/mf6/utils/model_splitter.py +++ b/flopy/mf6/utils/model_splitter.py @@ -1128,7 +1128,10 @@ def _remap_array(self, item, mfarray, mapped_data, **kwargs): fnames = kwargs.pop("fnames", None) if not hasattr(mfarray, "size"): if mfarray.array is None: - return mapped_data + if item == "idomain": + mfarray.set_data(1) + else: + return mapped_data how = [ i.data_storage_type.value From 24dd8b8e69b2baa0c9bf7f2ade9fe8831b98afbd Mon Sep 17 00:00:00 2001 From: wpbonelli Date: Fri, 8 Dec 2023 08:18:30 -0500 Subject: [PATCH 12/47] test(MF6Splitter): mark test_idomain_none requiring pymetis (#2035) --- autotest/test_model_splitter.py | 42 ++++++++++++++++----------------- 1 file changed, 21 insertions(+), 21 deletions(-) diff --git a/autotest/test_model_splitter.py b/autotest/test_model_splitter.py index 453a6ca167..82e2ecd62e 100644 --- a/autotest/test_model_splitter.py +++ b/autotest/test_model_splitter.py @@ -585,30 +585,31 @@ def test_transient_array(function_tmpdir): @requires_exe("mf6") +@requires_pkg("pymetis") def test_idomain_none(function_tmpdir): name = "id_test" sim_path = function_tmpdir new_sim_path = function_tmpdir / f"{name}_split_model" tdis_data = [ - (0., 1, 1.0), - (300000., 1, 1.0), - (36500., 10, 1.5), + (0.0, 1, 1.0), + (300000.0, 1, 1.0), + (36500.0, 10, 1.5), (300000, 1, 1.0), ] nper = len(tdis_data) nlay, nrow, ncol = 3, 21, 20 - xlen, ylen = 10000., 10500. + xlen, ylen = 10000.0, 10500.0 delc = ylen / nrow delr = xlen / ncol - top = 400. - botm = [220., 200., 0] - K11 = [50., 0.01, 200.] - K33 = [10., 0.01, 20.] + top = 400.0 + botm = [220.0, 200.0, 0] + K11 = [50.0, 0.01, 200.0] + K33 = [10.0, 0.01, 20.0] Ss, Sy = 0.0001, 0.1 - H_east = 320. + H_east = 320.0 recharge = 0.005 idomain = None @@ -621,7 +622,7 @@ def test_idomain_none(function_tmpdir): complexity="simple", print_option="all", outer_dvclose=1e-6, - inner_dvclose=1e-6 + inner_dvclose=1e-6, ) gwf = flopy.mf6.ModflowGwf(sim, modelname=name, save_flows=True) @@ -635,7 +636,7 @@ def test_idomain_none(function_tmpdir): top=top, botm=botm, length_units="meters", - idomain=idomain + idomain=idomain, ) npf = flopy.mf6.ModflowGwfnpf( gwf, icelltype=1, save_specific_discharge=True, k=K11, k33=K33 @@ -646,14 +647,14 @@ def test_idomain_none(function_tmpdir): ss=Ss, sy=Sy, steady_state={0: True, 3: True}, - transient={2: True} + transient={2: True}, ) ic = flopy.mf6.ModflowGwfic(gwf, strt=top) oc = flopy.mf6.ModflowGwfoc( gwf, head_filerecord=f"{name}.hds", budget_filerecord=f"{name}.cbc", - saverecord={0: [("head", "all"), ("budget", "all")]} + saverecord={0: [("head", "all"), ("budget", "all")]}, ) rch = flopy.mf6.ModflowGwfrcha(gwf, recharge=recharge) @@ -661,11 +662,8 @@ def test_idomain_none(function_tmpdir): chd = flopy.mf6.ModflowGwfchd(gwf, stress_period_data=chd_spd) well_spd = { - 1: [(0, 10, 9, -75000.)], - 2: [ - (0, 10, 9, -75000.), - (2, 12, 4, -100000.) - ], + 1: [(0, 10, 9, -75000.0)], + 2: [(0, 10, 9, -75000.0), (2, 12, 4, -100000.0)], } wel = flopy.mf6.ModflowGwfwel(gwf, stress_period_data=well_spd) sim.write_simulation() @@ -683,11 +681,13 @@ def test_idomain_none(function_tmpdir): head_dict = {} for idx, modelname in enumerate(new_sim.model_names): mnum = int(modelname.split("_")[-1]) - h = new_sim.get_model(modelname).output.head().get_data( - kstpkper=kstpkper) + h = ( + new_sim.get_model(modelname) + .output.head() + .get_data(kstpkper=kstpkper) + ) head_dict[mnum] = h new_head = ms.reconstruct_array(head_dict) err_msg = "Heads from original and split models do not match" np.testing.assert_allclose(new_head, head, atol=1e-07, err_msg=err_msg) - From 66b18624f78f36acd587c5a5bdcd90503397c3d1 Mon Sep 17 00:00:00 2001 From: wpbonelli Date: Fri, 8 Dec 2023 11:24:18 -0500 Subject: [PATCH 13/47] refactor(mbase): append not prepend flopy bindir to PATH (#2037) --- flopy/mbase.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/flopy/mbase.py b/flopy/mbase.py index 086b026d0c..bf47d3edea 100644 --- a/flopy/mbase.py +++ b/flopy/mbase.py @@ -33,7 +33,7 @@ flopy_bin = os.path.expandvars(r"%LOCALAPPDATA%\flopy\bin") else: flopy_bin = os.path.join(os.path.expanduser("~"), ".local/share/flopy/bin") -os.environ["PATH"] = flopy_bin + os.path.pathsep + os.environ.get("PATH", "") +os.environ["PATH"] = os.environ.get("PATH", "") + os.path.pathsep + flopy_bin ## Global variables # Multiplier for individual array elements in integer and real arrays read by From 4e22216ef2cb175d31d5433167f2b95c04396626 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Thu, 14 Dec 2023 12:21:19 -0500 Subject: [PATCH 14/47] chore(deps): bump dawidd6/action-download-artifact from 2 to 3 (#2042) --- .github/workflows/release.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml index 0d96f26b7f..ca701a23b5 100644 --- a/.github/workflows/release.yml +++ b/.github/workflows/release.yml @@ -175,7 +175,7 @@ jobs: # actions/download-artifact won't look at previous workflow runs but we need to in order to get changelog - name: Download artifacts - uses: dawidd6/action-download-artifact@v2 + uses: dawidd6/action-download-artifact@v3 - name: Draft release env: From 836d310723f148c71553058c2d8fb189b530116b Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Fri, 15 Dec 2023 00:01:16 -0500 Subject: [PATCH 15/47] chore(deps): bump actions/upload-artifact from 3 to 4 (#2044) --- .github/workflows/benchmark.yml | 6 +++--- .github/workflows/commit.yml | 4 ++-- .github/workflows/examples.yml | 2 +- .github/workflows/optional.yml | 4 ++-- .github/workflows/regression.yml | 2 +- .github/workflows/release.yml | 6 +++--- .github/workflows/rtd.yml | 2 +- 7 files changed, 13 insertions(+), 13 deletions(-) diff --git a/.github/workflows/benchmark.yml b/.github/workflows/benchmark.yml index 63fb87ce69..e882fe306a 100644 --- a/.github/workflows/benchmark.yml +++ b/.github/workflows/benchmark.yml @@ -53,14 +53,14 @@ jobs: GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} - name: Upload failed benchmark artifact - uses: actions/upload-artifact@v3 + uses: actions/upload-artifact@v4 if: failure() with: name: failed-benchmark-${{ matrix.os }}-${{ matrix.python-version }}-${{ github.run_id }} path: autotest/.failed/** - name: Upload benchmark result artifact - uses: actions/upload-artifact@v3 + uses: actions/upload-artifact@v4 with: name: benchmarks-${{ matrix.os }}-${{ matrix.python-version }}-${{ github.run_id }} path: autotest/.benchmarks/**/*.json @@ -131,7 +131,7 @@ jobs: GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} - name: Upload benchmark results - uses: actions/upload-artifact@v3 + uses: actions/upload-artifact@v4 with: name: benchmarks-${{ github.run_id }} path: | diff --git a/.github/workflows/commit.yml b/.github/workflows/commit.yml index 000cb68952..b549d7e640 100644 --- a/.github/workflows/commit.yml +++ b/.github/workflows/commit.yml @@ -130,7 +130,7 @@ jobs: GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} - name: Upload failed test outputs - uses: actions/upload-artifact@v3 + uses: actions/upload-artifact@v4 if: failure() with: name: failed-smoke-${{ runner.os }}-${{ env.PYTHON_VERSION }} @@ -199,7 +199,7 @@ jobs: GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} - name: Upload failed test outputs - uses: actions/upload-artifact@v3 + uses: actions/upload-artifact@v4 if: failure() with: name: failed-${{ matrix.os }}-${{ matrix.python-version }} diff --git a/.github/workflows/examples.yml b/.github/workflows/examples.yml index 5540c9f0cc..d021a66a53 100644 --- a/.github/workflows/examples.yml +++ b/.github/workflows/examples.yml @@ -74,7 +74,7 @@ jobs: GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} - name: Upload failed test outputs - uses: actions/upload-artifact@v3 + uses: actions/upload-artifact@v4 if: failure() with: name: failed-example-${{ matrix.os }}-${{ matrix.python-version }} diff --git a/.github/workflows/optional.yml b/.github/workflows/optional.yml index ca4040b8a1..e5a1637746 100644 --- a/.github/workflows/optional.yml +++ b/.github/workflows/optional.yml @@ -52,7 +52,7 @@ jobs: fi - name: Upload removed dependencies log - uses: actions/upload-artifact@v3 + uses: actions/upload-artifact@v4 with: name: smoke-test-removed-dependencies path: ./removed_dependencies.txt @@ -67,7 +67,7 @@ jobs: GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} - name: Upload failed test outputs - uses: actions/upload-artifact@v3 + uses: actions/upload-artifact@v4 if: failure() with: name: failed-smoke-${{ runner.os }}-${{ env.PYTHON_VERSION }} diff --git a/.github/workflows/regression.yml b/.github/workflows/regression.yml index b11c9d9d5c..7bbc672fe1 100644 --- a/.github/workflows/regression.yml +++ b/.github/workflows/regression.yml @@ -58,7 +58,7 @@ jobs: GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} - name: Upload failed test outputs - uses: actions/upload-artifact@v3 + uses: actions/upload-artifact@v4 if: failure() with: name: failed-regression-${{ matrix.os }}-${{ matrix.python-version }} diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml index ca701a23b5..70c9602ac5 100644 --- a/.github/workflows/release.yml +++ b/.github/workflows/release.yml @@ -73,7 +73,7 @@ jobs: GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} - name: Upload failed test outputs - uses: actions/upload-artifact@v3 + uses: actions/upload-artifact@v4 if: failure() with: name: failed-${{ matrix.os }}-${{ matrix.python-version }} @@ -111,7 +111,7 @@ jobs: sed -i '1i # Changelog' $clog - name: Upload changelog - uses: actions/upload-artifact@v3 + uses: actions/upload-artifact@v4 with: name: changelog path: CHANGELOG.md @@ -231,7 +231,7 @@ jobs: run: twine check --strict dist/* - name: Upload package - uses: actions/upload-artifact@v3 + uses: actions/upload-artifact@v4 with: name: dist path: dist diff --git a/.github/workflows/rtd.yml b/.github/workflows/rtd.yml index af6cc0749b..fe3f7a98f5 100644 --- a/.github/workflows/rtd.yml +++ b/.github/workflows/rtd.yml @@ -77,7 +77,7 @@ jobs: - name: Upload notebooks artifact for ReadtheDocs if: github.repository_owner == 'modflowpy' && github.event_name == 'push' && runner.os == 'Linux' - uses: actions/upload-artifact@v3 + uses: actions/upload-artifact@v4 with: name: notebooks-for-${{ github.sha }} path: .docs/Notebooks/*.ipynb From 37a5e6cc29352f71d6cc3cec5eb4b057550db0cd Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Fri, 15 Dec 2023 00:01:30 -0500 Subject: [PATCH 16/47] chore(deps): bump actions/download-artifact from 3 to 4 (#2045) --- .github/workflows/benchmark.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/benchmark.yml b/.github/workflows/benchmark.yml index e882fe306a..12fd54a1f9 100644 --- a/.github/workflows/benchmark.yml +++ b/.github/workflows/benchmark.yml @@ -92,7 +92,7 @@ jobs: pip install numpy pandas matplotlib seaborn - name: Download all artifacts - uses: actions/download-artifact@v3 + uses: actions/download-artifact@v4 with: path: autotest/.benchmarks From 02a2f91e802185fd6b31929f99e31fecbb41c499 Mon Sep 17 00:00:00 2001 From: scottrp <45947939+scottrp@users.noreply.github.com> Date: Mon, 18 Dec 2023 08:48:52 -0800 Subject: [PATCH 17/47] feat(set all data external options): additional parameters added (#2041) * feat(set all data external options): parameters added "binary" and "base_name" parameters added to set_all_data_external * feat(set all external binary): doc update * feat(set all ext options) --- .docs/Notebooks/mf6_data_tutorial08.py | 15 ++++-- autotest/regression/test_mf6.py | 27 +++++++++++ flopy/mf6/data/mfdata.py | 12 ++--- flopy/mf6/data/mfdataarray.py | 42 +++++++++-------- flopy/mf6/data/mfdatalist.py | 32 ++++++------- flopy/mf6/data/mfdataplist.py | 63 +++++++++++++------------- flopy/mf6/data/mfdatascalar.py | 10 ++-- flopy/mf6/mfmodel.py | 17 ++++++- flopy/mf6/mfpackage.py | 57 ++++++++++++++++++----- flopy/mf6/mfsimbase.py | 38 ++++++++++++++-- flopy/mf6/utils/model_splitter.py | 4 +- 11 files changed, 212 insertions(+), 105 deletions(-) diff --git a/.docs/Notebooks/mf6_data_tutorial08.py b/.docs/Notebooks/mf6_data_tutorial08.py index c26578d0ff..c88dd0b10e 100644 --- a/.docs/Notebooks/mf6_data_tutorial08.py +++ b/.docs/Notebooks/mf6_data_tutorial08.py @@ -1,20 +1,21 @@ # --- # jupyter: # jupytext: +# notebook_metadata_filter: metadata # text_representation: # extension: .py # format_name: light -# format_version: "1.5" -# jupytext_version: 1.5.1 +# format_version: '1.5' +# jupytext_version: 1.14.4 # kernelspec: -# display_name: Python 3 +# display_name: Python 3 (ipykernel) # language: python # name: python3 # metadata: # section: mf6 # --- -# # MODFLOW 6: Data Storage Information and Performance Optimization +# # MODFLOW 6: External Files, Binary Data, and Performance Optimization # # This tutorial shows the different options for storing MODFLOW data in FloPy. # Interaction with a FloPy MODFLOW 6 model is different from other models, @@ -36,7 +37,7 @@ # This tutorial focuses on the different storage options for MODFLOW data and # how to optimize data storage read/write speed. -# ## Introduction to Data Storage Information +# ## Introduction to Data Storage Options # MODFLOW array and list data can either be stored internally or externally in # text or binary files. Additionally array data can have a factor applied to # them and can have a format flag/code to define how these data will be @@ -215,6 +216,10 @@ print(f"New binary flag for stress period 1: {spd_record[0]['binary']}") print(f"New filename for stress period 2: {spd_record[1]['filename']}") +# An alternative to individually setting each file to external is to call the set_all_files_external method (there is also a set_all_files_internal method to do the opposite). While this requires less code, it does not give you the ability to set the names of each individual external file. By setting the binary attribute to True, flopy will store data to binary files wherever possible. + +sim.set_all_data_external(binary=True) + # ## Optimizing FloPy Performance # # By default FloPy will perform a number of verification checks on your data diff --git a/autotest/regression/test_mf6.py b/autotest/regression/test_mf6.py index 2dfa44f8bd..9cc7db1878 100644 --- a/autotest/regression/test_mf6.py +++ b/autotest/regression/test_mf6.py @@ -4240,7 +4240,34 @@ def test045_lake1ss_table(function_tmpdir, example_data_path): save_folder = function_tmpdir / "save" save_folder.mkdir() sim.set_sim_path(save_folder) + sim.set_all_data_external( + external_data_folder="test_folder", + base_name="ext_file", + binary=True, + ) sim.write_simulation() + # verify external files were written + ext_folder = os.path.join(save_folder, "test_folder") + files_to_check = [ + "ext_file_lakeex1b.dis_botm_layer1.bin", + "ext_file_lakeex1b.dis_botm_layer2.bin", + "ext_file_lakeex1b.dis_botm_layer3.bin", + "ext_file_lakeex1b.dis_botm_layer4.bin", + "ext_file_lakeex1b.dis_botm_layer5.bin", + "ext_file_lakeex1b.npf_k_layer1.bin", + "ext_file_lakeex1b.npf_k_layer5.bin", + "ext_file_lakeex1b.chd_stress_period_data_1.bin", + "ext_file_lakeex1b.lak_connectiondata.txt", + "ext_file_lakeex1b.lak_packagedata.txt", + "ext_file_lakeex1b.lak_perioddata_1.txt", + "ext_file_lakeex1b_table.ref_table.txt", + "ext_file_lakeex1b.evt_depth_1.bin", + "ext_file_lakeex1b.evt_rate_1.bin", + "ext_file_lakeex1b.evt_surface_1.bin", + ] + for file in files_to_check: + data_file_path = os.path.join(ext_folder, file) + assert os.path.exists(data_file_path) # run simulation success, buff = sim.run_simulation() diff --git a/flopy/mf6/data/mfdata.py b/flopy/mf6/data/mfdata.py index 2aafe39f07..2f992d8a8f 100644 --- a/flopy/mf6/data/mfdata.py +++ b/flopy/mf6/data/mfdata.py @@ -251,7 +251,7 @@ def __init__( self._data_type = structure.type self._keyword = "" if self._simulation_data is not None: - self._data_dimensions = DataDimensions(dimensions, structure) + self.data_dimensions = DataDimensions(dimensions, structure) # build a unique path in the simulation dictionary self._org_path = self._path index = 0 @@ -380,13 +380,13 @@ def layer_shape(self): layers = [] layer_dims = self.structure.data_item_structures[0].layer_dims if len(layer_dims) == 1: - layers.append(self._data_dimensions.get_model_grid().num_layers()) + layers.append(self.data_dimensions.get_model_grid().num_layers()) else: for layer in layer_dims: if layer == "nlay": # get the layer size from the model grid try: - model_grid = self._data_dimensions.get_model_grid() + model_grid = self.data_dimensions.get_model_grid() except Exception as ex: type_, value_, traceback_ = sys.exc_info() raise MFDataException( @@ -521,13 +521,13 @@ def _get_constant_formatting_string( const_val, data_type, self._simulation_data, - self._data_dimensions, + self.data_dimensions, verify_data=self._simulation_data.verify_data, ) return f"{sim_data.indent_string.join(const_format)}{suffix}" def _get_aux_var_name(self, aux_var_index): - aux_var_names = self._data_dimensions.package_dim.get_aux_variables() + aux_var_names = self.data_dimensions.package_dim.get_aux_variables() # TODO: Verify that this works for multi-dimensional layering return aux_var_names[0][aux_var_index[0] + 1] @@ -608,7 +608,7 @@ def _get_external_formatting_str( self, fname, factor, binary, iprn, data_type, ext_file_action ): file_mgmt = self._simulation_data.mfpath - model_name = self._data_dimensions.package_dim.model_dim[0].model_name + model_name = self.data_dimensions.package_dim.model_dim[0].model_name ext_file_path = file_mgmt.get_updated_path( fname, model_name, ext_file_action ) diff --git a/flopy/mf6/data/mfdataarray.py b/flopy/mf6/data/mfdataarray.py index 51f47bf0c3..2825747a33 100644 --- a/flopy/mf6/data/mfdataarray.py +++ b/flopy/mf6/data/mfdataarray.py @@ -348,7 +348,7 @@ def supports_layered(self): """ try: - model_grid = self._data_dimensions.get_model_grid() + model_grid = self.data_dimensions.get_model_grid() except Exception as ex: type_, value_, traceback_ = sys.exc_info() raise MFDataException( @@ -381,7 +381,7 @@ def set_layered_data(self, layered_data): """ if layered_data is True and self.structure.layered is False: if ( - self._data_dimensions.get_model_grid().grid_type() + self.data_dimensions.get_model_grid().grid_type() == DiscretizationType.DISU ): comment = f"Layered option not available for unstructured grid. {self._path}" @@ -430,7 +430,7 @@ def make_layered(self): ) else: if ( - self._data_dimensions.get_model_grid().grid_type() + self.data_dimensions.get_model_grid().grid_type() == DiscretizationType.DISU ): comment = f"Layered option not available for unstructured grid. {self._path}" @@ -482,6 +482,7 @@ def store_as_external_file( Whether to replace an existing external file. check_data : bool Verify data prior to storing + """ storage = self._get_storage_obj() if storage is None: @@ -861,11 +862,11 @@ def _set_record(self, data_record): ) type_, value_, traceback_ = sys.exc_info() raise MFDataException( - self._data_dimensions.structure.get_model(), - self._data_dimensions.structure.get_package(), - self._data_dimensions.structure.path, + self.data_dimensions.structure.get_model(), + self.data_dimensions.structure.get_package(), + self.data_dimensions.structure.path, "setting record", - self._data_dimensions.structure.name, + self.data_dimensions.structure.name, inspect.stack()[0][3], type_, value_, @@ -933,7 +934,7 @@ def _set_data( # handle special case of aux variables in an array self.layered = True aux_var_names = ( - self._data_dimensions.package_dim.get_aux_variables() + self.data_dimensions.package_dim.get_aux_variables() ) if len(aux_data) == len(aux_var_names[0]) - 1: for layer, aux_var_data in enumerate(aux_data): @@ -980,11 +981,11 @@ def _set_data( ) type_, value_, traceback_ = sys.exc_info() raise MFDataException( - self._data_dimensions.structure.get_model(), - self._data_dimensions.structure.get_package(), - self._data_dimensions.structure.path, + self.data_dimensions.structure.get_model(), + self.data_dimensions.structure.get_package(), + self.data_dimensions.structure.path, "setting aux variables", - self._data_dimensions.structure.name, + self.data_dimensions.structure.name, inspect.stack()[0][3], type_, value_, @@ -1064,7 +1065,7 @@ def load( self._resync() if self.structure.layered: try: - model_grid = self._data_dimensions.get_model_grid() + model_grid = self.data_dimensions.get_model_grid() except Exception as ex: type_, value_, traceback_ = sys.exc_info() raise MFDataException( @@ -1101,7 +1102,7 @@ def load( else: file_access = MFFileAccessArray( self.structure, - self._data_dimensions, + self.data_dimensions, self._simulation_data, self._path, self._current_key, @@ -1272,7 +1273,7 @@ def _new_storage( return DataStorage( self._simulation_data, self._model_or_sim, - self._data_dimensions, + self.data_dimensions, self._get_file_entry, DataStorageType.internal_array, DataStructureType.ndarray, @@ -1284,7 +1285,7 @@ def _new_storage( return DataStorage( self._simulation_data, self._model_or_sim, - self._data_dimensions, + self.data_dimensions, self._get_file_entry, DataStorageType.internal_array, DataStructureType.ndarray, @@ -1402,7 +1403,7 @@ def _get_file_entry_layer( self._simulation_data.debug, ex, ) - package_dim = self._data_dimensions.package_dim + package_dim = self.data_dimensions.package_dim model_name = package_dim.model_dim[0].model_name self._simulation_data.mfpath.add_ext_file(file_path, model_name) return file_entry @@ -1430,7 +1431,7 @@ def _get_data_layer_string(self, layer, data_indent): ) file_access = MFFileAccessArray( self.structure, - self._data_dimensions, + self.data_dimensions, self._simulation_data, self._path, self._current_key, @@ -1683,6 +1684,7 @@ def store_as_external_file( Whether to replace an existing external file. check_data : bool Verify data prior to storing + """ # store each stress period in separate file(s) for sp in self._data_storage.keys(): @@ -1803,7 +1805,7 @@ def get_record(self, key=None): """ if self._data_storage is not None and len(self._data_storage) > 0: if key is None: - sim_time = self._data_dimensions.package_dim.model_dim[ + sim_time = self.data_dimensions.package_dim.model_dim[ 0 ].simulation_time num_sp = sim_time.get_num_stress_periods() @@ -1825,7 +1827,7 @@ def get_data(self, key=None, apply_mult=True, **kwargs): """ if self._data_storage is not None and len(self._data_storage) > 0: if key is None: - sim_time = self._data_dimensions.package_dim.model_dim[ + sim_time = self.data_dimensions.package_dim.model_dim[ 0 ].simulation_time num_sp = sim_time.get_num_stress_periods() diff --git a/flopy/mf6/data/mfdatalist.py b/flopy/mf6/data/mfdatalist.py index efb545bc5d..d1e4e123bb 100644 --- a/flopy/mf6/data/mfdatalist.py +++ b/flopy/mf6/data/mfdatalist.py @@ -142,7 +142,7 @@ def to_array(self, kper=0, mask=False): for a selected stress period. The dictionary keys are the MFDataList dtype names for the stress period data.""" sarr = self.get_data(key=kper) - model_grid = self._data_dimensions.get_model_grid() + model_grid = self.data_dimensions.get_model_grid() return list_to_array(sarr, model_grid, kper, mask) def new_simulation(self, sim_data): @@ -761,7 +761,7 @@ def _get_file_entry( ): try: # freeze model grid to boost performance - self._data_dimensions.lock() + self.data_dimensions.lock() # init indent = self._simulation_data.indent_string file_entry = [] @@ -872,7 +872,7 @@ def _get_file_entry( self._crnt_line_num += 1 # unfreeze model grid - self._data_dimensions.unlock() + self.data_dimensions.unlock() return "".join(file_entry) def _get_file_entry_record( @@ -913,7 +913,7 @@ def _get_file_entry_record( ex, ) else: - data_dim = self._data_dimensions + data_dim = self.data_dimensions data_line = data_complete[mflist_line] for data_item in data_set.data_item_structures: if data_item.is_aux: @@ -931,7 +931,7 @@ def _get_file_entry_record( data_val, data_item.type, self._simulation_data, - self._data_dimensions, + self.data_dimensions, data_item.is_cellid, data_item.possible_cellid, data_item, @@ -1028,7 +1028,7 @@ def _get_file_entry_record( model_num = DatumUtil.cellid_model_num( data_item, self.structure.model_data, - self._data_dimensions.package_dim.model_dim, + self.data_dimensions.package_dim.model_dim, ) model_grid = data_dim.get_model_grid(model_num) cellid_size = ( @@ -1180,7 +1180,7 @@ def _get_file_entry_record( data_line[data_index], k_data_item.type, self._simulation_data, - self._data_dimensions, + self.data_dimensions, k_data_item.is_cellid, k_data_item.possible_cellid, k_data_item, @@ -1244,7 +1244,7 @@ def _get_file_entry_record( data_val, DatumType.string, self._simulation_data, - self._data_dimensions, + self.data_dimensions, False, data_item=data_item, verify_data=self._simulation_data.verify_data, @@ -1257,7 +1257,7 @@ def _get_file_entry_record( data_val, data_item.type, self._simulation_data, - self._data_dimensions, + self.data_dimensions, data_item.is_cellid, data_item.possible_cellid, data_item, @@ -1369,7 +1369,7 @@ def load( else: file_access = MFFileAccessList( self.structure, - self._data_dimensions, + self.data_dimensions, self._simulation_data, self._path, self._current_key, @@ -1383,7 +1383,7 @@ def _new_storage(self, stress_period=0): return DataStorage( self._simulation_data, self._model_or_sim, - self._data_dimensions, + self.data_dimensions, self._get_file_entry, DataStorageType.internal_array, DataStructureType.recarray, @@ -1546,8 +1546,8 @@ def data(self): @property def masked_4D_arrays(self): """Returns list data as a masked 4D array.""" - model_grid = self._data_dimensions.get_model_grid() - nper = self._data_dimensions.package_dim.model_dim[ + model_grid = self.data_dimensions.get_model_grid() + nper = self.data_dimensions.package_dim.model_dim[ 0 ].simulation_time.get_num_stress_periods() # get the first kper @@ -1593,8 +1593,8 @@ def masked_4D_arrays(self): def masked_4D_arrays_itr(self): """Returns list data as an iterator of a masked 4D array.""" - model_grid = self._data_dimensions.get_model_grid() - nper = self._data_dimensions.package_dim.model_dim[ + model_grid = self.data_dimensions.get_model_grid() + nper = self.data_dimensions.package_dim.model_dim[ 0 ].simulation_time.get_num_stress_periods() # get the first kper @@ -1796,7 +1796,7 @@ def get_data(self, key=None, apply_mult=False, **kwargs): if key is None: if "array" in kwargs: output = [] - sim_time = self._data_dimensions.package_dim.model_dim[ + sim_time = self.data_dimensions.package_dim.model_dim[ 0 ].simulation_time num_sp = sim_time.get_num_stress_periods() diff --git a/flopy/mf6/data/mfdataplist.py b/flopy/mf6/data/mfdataplist.py index 508c3412f6..95460bf288 100644 --- a/flopy/mf6/data/mfdataplist.py +++ b/flopy/mf6/data/mfdataplist.py @@ -222,7 +222,7 @@ def _process_open_close_line(self, arr_line, store=True): Process open/close line extracting the multiplier, print format, binary flag, data file path, and any comments """ - data_dim = self._data_dimensions + data_dim = self.data_dimensions ( multiplier, print_format, @@ -310,10 +310,10 @@ def _get_cellid_size(self, data_item_name): """get the number of spatial coordinates used in the cellid""" model_num = datautil.DatumUtil.cellid_model_num( data_item_name, - self._data_dimensions.structure.model_data, - self._data_dimensions.package_dim.model_dim, + self.data_dimensions.structure.model_data, + self.data_dimensions.package_dim.model_dim, ) - model_grid = self._data_dimensions.get_model_grid(model_num=model_num) + model_grid = self.data_dimensions.get_model_grid(model_num=model_num) return model_grid.get_num_spatial_coordinates() def _build_data_header(self): @@ -330,7 +330,7 @@ def _build_data_header(self): s_type = pandas.StringDtype f_type = np.float64 i_type = np.int64 - data_dim = self._data_dimensions + data_dim = self.data_dimensions # loop through data structure definition information for data_item, index in zip( self.structure.data_item_structures, @@ -651,11 +651,11 @@ def set_data(self, data, autofill=False, check_data=True, append=False): ) type_, value_, traceback_ = sys.exc_info() raise MFDataException( - self._data_dimensions.structure.get_model(), - self._data_dimensions.structure.get_package(), - self._data_dimensions.structure.path, + self.data_dimensions.structure.get_model(), + self.data_dimensions.structure.get_package(), + self.data_dimensions.structure.path, "setting list data", - self._data_dimensions.structure.name, + self.data_dimensions.structure.name, inspect.stack()[0][3], type_, value_, @@ -692,11 +692,11 @@ def set_data(self, data, autofill=False, check_data=True, append=False): ) type_, value_, traceback_ = sys.exc_info() raise MFDataException( - self._data_dimensions.structure.get_model(), - self._data_dimensions.structure.get_package(), - self._data_dimensions.structure.path, + self.data_dimensions.structure.get_model(), + self.data_dimensions.structure.get_package(), + self.data_dimensions.structure.path, "setting list data", - self._data_dimensions.structure.name, + self.data_dimensions.structure.name, inspect.stack()[0][3], type_, value_, @@ -713,11 +713,11 @@ def set_data(self, data, autofill=False, check_data=True, append=False): ) type_, value_, traceback_ = sys.exc_info() raise MFDataException( - self._data_dimensions.structure.get_model(), - self._data_dimensions.structure.get_package(), - self._data_dimensions.structure.path, + self.data_dimensions.structure.get_model(), + self.data_dimensions.structure.get_package(), + self.data_dimensions.structure.path, "setting list data", - self._data_dimensions.structure.name, + self.data_dimensions.structure.name, inspect.stack()[0][3], type_, value_, @@ -772,7 +772,7 @@ def to_array(self, kper=0, mask=False): for a selected stress period. The dictionary keys are the MFDataList dtype names for the stress period data.""" sarr = self.get_data(key=kper) - model_grid = self._data_dimensions.get_model_grid() + model_grid = self.data_dimensions.get_model_grid() return list_to_array(sarr, model_grid, kper, mask) def set_record(self, record, autofill=False, check_data=True): @@ -798,20 +798,20 @@ def set_record(self, record, autofill=False, check_data=True): if "binary" in record: if ( record["binary"] - and self._data_dimensions.package_dim.boundnames() + and self.data_dimensions.package_dim.boundnames() ): message = ( "Unable to store list data ({}) to a binary " "file when using boundnames" - ".".format(self._data_dimensions.structure.name) + ".".format(self.data_dimensions.structure.name) ) type_, value_, traceback_ = sys.exc_info() raise MFDataException( - self._data_dimensions.structure.get_model(), - self._data_dimensions.structure.get_package(), - self._data_dimensions.structure.path, + self.data_dimensions.structure.get_model(), + self.data_dimensions.structure.get_package(), + self.data_dimensions.structure.path, "writing list data to binary file", - self._data_dimensions.structure.name, + self.data_dimensions.structure.name, inspect.stack()[0][3], type_, value_, @@ -1159,7 +1159,7 @@ def _read_text_data(self, fd_data_file, first_line, external_file=False): None, True, self.path, - self._data_dimensions.package_dim, + self.data_dimensions.package_dim, self._package, self._block, ) @@ -1181,7 +1181,7 @@ def _save_binary_data(self, fd_data_file, data): # write file_access = MFFileAccessList( self.structure, - self._data_dimensions, + self.data_dimensions, self._simulation_data, self._path, self._current_key, @@ -1224,7 +1224,7 @@ def _load_external_data(self, data_storage): if data_storage.binary: file_access = MFFileAccessList( self.structure, - self._data_dimensions, + self.data_dimensions, self._simulation_data, self._path, self._current_key, @@ -1441,7 +1441,7 @@ def _resolve_ext_file_path(self, data_storage): returned the resolved relative path of external file in "data_storage" """ # pathing to external file - data_dim = self._data_dimensions + data_dim = self.data_dimensions model_name = data_dim.package_dim.model_dim[0].model_name fp_relative = data_storage.fname if model_name is not None and fp_relative is not None: @@ -1985,7 +1985,6 @@ def store_as_external_file( Whether to replace an existing external file. check_data : bool Verify data prior to storing - """ self._cache_model_grid = True for sp in self._data_storage.keys(): @@ -2125,7 +2124,7 @@ def get_data(self, key=None, apply_mult=False, dataframe=False, **kwargs): if key is None: if "array" in kwargs: output = [] - sim_time = self._data_dimensions.package_dim.model_dim[ + sim_time = self.data_dimensions.package_dim.model_dim[ 0 ].simulation_time num_sp = sim_time.get_num_stress_periods() @@ -2201,8 +2200,8 @@ def set_data(self, data, key=None, autofill=False): def masked_4D_arrays_itr(self): """Returns list data as an iterator of a masked 4D array.""" - model_grid = self._data_dimensions.get_model_grid() - nper = self._data_dimensions.package_dim.model_dim[ + model_grid = self.data_dimensions.get_model_grid() + nper = self.data_dimensions.package_dim.model_dim[ 0 ].simulation_time.get_num_stress_periods() # get the first kper diff --git a/flopy/mf6/data/mfdatascalar.py b/flopy/mf6/data/mfdatascalar.py index 88db11d061..ca6e7e63a6 100644 --- a/flopy/mf6/data/mfdatascalar.py +++ b/flopy/mf6/data/mfdatascalar.py @@ -191,7 +191,7 @@ def set_data(self, data): data_struct = self.structure.data_item_structures[0] try: converted_data = convert_data( - data, self._data_dimensions, self._data_type, data_struct + data, self.data_dimensions, self._data_type, data_struct ) except Exception as ex: type_, value_, traceback_ = sys.exc_info() @@ -479,7 +479,7 @@ def get_file_entry( current_data, self._data_type, self._simulation_data, - self._data_dimensions, + self.data_dimensions, data_item=data_item, ) ) @@ -555,7 +555,7 @@ def get_file_entry( data, self._data_type, self._simulation_data, - self._data_dimensions, + self.data_dimensions, data_item=data_item, verify_data=self._simulation_data.verify_data, ) @@ -635,7 +635,7 @@ def load( self._resync() file_access = MFFileAccessScalar( self.structure, - self._data_dimensions, + self.data_dimensions, self._simulation_data, self._path, self._current_key, @@ -653,7 +653,7 @@ def _new_storage(self, stress_period=0): return DataStorage( self._simulation_data, self._model_or_sim, - self._data_dimensions, + self.data_dimensions, self.get_file_entry, DataStorageType.internal_array, DataStructureType.scalar, diff --git a/flopy/mf6/mfmodel.py b/flopy/mf6/mfmodel.py index 54ce7f9e8e..00e9d260da 100644 --- a/flopy/mf6/mfmodel.py +++ b/flopy/mf6/mfmodel.py @@ -1601,7 +1601,11 @@ def rename_all_packages(self, name): ) def set_all_data_external( - self, check_data=True, external_data_folder=None + self, + check_data=True, + external_data_folder=None, + base_name=None, + binary=False, ): """Sets the model's list and array data to be stored externally. @@ -1614,10 +1618,19 @@ def set_all_data_external( Folder, relative to the simulation path or model relative path (see use_model_relative_path parameter), where external data will be stored + base_name: str + Base file name prefix for all files + binary: bool + Whether file will be stored as binary """ for package in self.packagelist: - package.set_all_data_external(check_data, external_data_folder) + package.set_all_data_external( + check_data, + external_data_folder, + base_name, + binary, + ) def set_all_data_internal(self, check_data=True): """Sets the model's list and array data to be stored externally. diff --git a/flopy/mf6/mfpackage.py b/flopy/mf6/mfpackage.py index d7dcaabcea..6f3ed087f2 100644 --- a/flopy/mf6/mfpackage.py +++ b/flopy/mf6/mfpackage.py @@ -1314,7 +1314,11 @@ def header_exists(self, key, data_path=None): return False def set_all_data_external( - self, base_name, check_data=True, external_data_folder=None + self, + base_name, + check_data=True, + external_data_folder=None, + binary=False, ): """Sets the block's list and array data to be stored externally, base_name is external file name's prefix, check_data determines @@ -1328,21 +1332,31 @@ def set_all_data_external( Whether to do data error checking. external_data_folder Folder where external data will be stored + binary: bool + Whether file will be stored as binary """ for key, dataset in self.datasets.items(): + lst_data = isinstance(dataset, mfdatalist.MFList) or isinstance( + dataset, mfdataplist.MFPandasList + ) if ( isinstance(dataset, mfdataarray.MFArray) - or ( - ( - isinstance(dataset, mfdatalist.MFList) - or isinstance(dataset, mfdataplist.MFPandasList) - ) - and dataset.structure.type == DatumType.recarray - ) + or (lst_data and dataset.structure.type == DatumType.recarray) and dataset.enabled ): - file_path = f"{base_name}_{dataset.structure.name}.txt" + if not binary or ( + lst_data + and ( + dataset.data_dimensions.package_dim.boundnames() + or not dataset.structure.basic_item + ) + ): + ext = "txt" + binary = False + else: + ext = "bin" + file_path = f"{base_name}_{dataset.structure.name}.{ext}" replace_existing_external = False if external_data_folder is not None: # get simulation root path @@ -1367,6 +1381,7 @@ def set_all_data_external( file_path, replace_existing_external=replace_existing_external, check_data=check_data, + binary=binary, ) def set_all_data_internal(self, check_data=True): @@ -2687,7 +2702,11 @@ def set_model_relative_path(self, model_ws): package.set_model_relative_path(model_ws) def set_all_data_external( - self, check_data=True, external_data_folder=None + self, + check_data=True, + external_data_folder=None, + base_name=None, + binary=False, ): """Sets the package's list and array data to be stored externally. @@ -2697,16 +2716,30 @@ def set_all_data_external( Determine if data error checking is enabled external_data_folder Folder where external data will be stored + base_name: str + Base file name prefix for all files + binary: bool + Whether file will be stored as binary """ # set blocks for key, block in self.blocks.items(): file_name = os.path.split(self.filename)[1] + if base_name is not None: + file_name = f"{base_name}_{file_name}" block.set_all_data_external( - file_name, check_data, external_data_folder + file_name, + check_data, + external_data_folder, + binary, ) # set sub-packages for package in self._packagelist: - package.set_all_data_external(check_data, external_data_folder) + package.set_all_data_external( + check_data, + external_data_folder, + base_name, + binary, + ) def set_all_data_internal(self, check_data=True): """Sets the package's list and array data to be stored internally. diff --git a/flopy/mf6/mfsimbase.py b/flopy/mf6/mfsimbase.py index f5f806d700..898e42836e 100644 --- a/flopy/mf6/mfsimbase.py +++ b/flopy/mf6/mfsimbase.py @@ -1445,7 +1445,11 @@ def rename_all_packages(self, name): model.rename_all_packages(name) def set_all_data_external( - self, check_data=True, external_data_folder=None + self, + check_data=True, + external_data_folder=None, + base_name=None, + binary=False, ): """Sets the simulation's list and array data to be stored externally. @@ -1458,20 +1462,44 @@ def set_all_data_external( Path relative to the simulation path or model relative path (see use_model_relative_path parameter), where external data will be stored + base_name: str + Base file name prefix for all files + binary: bool + Whether file will be stored as binary """ # copy any files whose paths have changed self.simulation_data.mfpath.copy_files() # set data external for all packages in all models for model in self._models.values(): - model.set_all_data_external(check_data, external_data_folder) + model.set_all_data_external( + check_data, + external_data_folder, + base_name, + binary, + ) # set data external for solution packages for package in self._solution_files.values(): - package.set_all_data_external(check_data, external_data_folder) + package.set_all_data_external( + check_data, + external_data_folder, + base_name, + binary, + ) # set data external for other packages for package in self._other_files.values(): - package.set_all_data_external(check_data, external_data_folder) + package.set_all_data_external( + check_data, + external_data_folder, + base_name, + binary, + ) for package in self._exchange_files.values(): - package.set_all_data_external(check_data, external_data_folder) + package.set_all_data_external( + check_data, + external_data_folder, + base_name, + binary, + ) def set_all_data_internal(self, check_data=True): # set data external for all packages in all models diff --git a/flopy/mf6/utils/model_splitter.py b/flopy/mf6/utils/model_splitter.py index 9777a7d88f..f3b3bfd37c 100644 --- a/flopy/mf6/utils/model_splitter.py +++ b/flopy/mf6/utils/model_splitter.py @@ -2920,7 +2920,7 @@ def _remap_package(self, package, ismvr=False): value.structure, True, value.path, - value._data_dimensions.package_dim, + value.data_dimensions.package_dim, value._package, value._block, ) @@ -2941,7 +2941,7 @@ def _remap_package(self, package, ismvr=False): None, True, value.path, - value._data_dimensions.package_dim, + value.data_dimensions.package_dim, value._package, value._block, ) From a53cda7ff8f724dfc362b432ac9be8c98cc04165 Mon Sep 17 00:00:00 2001 From: wpbonelli Date: Fri, 22 Dec 2023 13:43:20 -0500 Subject: [PATCH 18/47] feat(PRT): add conversion/plotting utils for MF6 particle tracking models (#1753) * to_coords() and to_prt() methods on particle data classes * to_[mp7/prt]_[pathlines/endpoints]() conversion functions * support plotting PRT pathlines in map/cross-section plots * add basic tests for flopy.utils.geometry.point_in_polygon * remove duplicate/parallel verts from voronoi grids (courtesy aprovost-usgs) * work in progress, will evolve as mf6 PRT is developed --- autotest/test_binaryfile.py | 2 - autotest/test_particledata.py | 738 +++++++++++++++++++++++++- autotest/test_plot_particle_tracks.py | 185 +++++++ autotest/test_plotutil.py | 311 +++++++++++ autotest/test_util_geometry.py | 62 ++- flopy/modpath/mp7particledata.py | 492 ++++++++++++++--- flopy/plot/crosssection.py | 108 +++- flopy/plot/map.py | 82 ++- flopy/plot/plotutil.py | 349 ++++++++++++ flopy/utils/binaryfile.py | 4 +- flopy/utils/voronoi.py | 44 +- 11 files changed, 2251 insertions(+), 126 deletions(-) create mode 100644 autotest/test_plotutil.py diff --git a/autotest/test_binaryfile.py b/autotest/test_binaryfile.py index 995344a49d..4559fdf364 100644 --- a/autotest/test_binaryfile.py +++ b/autotest/test_binaryfile.py @@ -1,4 +1,3 @@ -import os from itertools import repeat import numpy as np @@ -15,7 +14,6 @@ CellBudgetFile, HeadFile, HeadUFile, - UcnFile, Util2d, ) from flopy.utils.binaryfile import ( diff --git a/autotest/test_particledata.py b/autotest/test_particledata.py index 1f5bdc85fd..8840ef42da 100644 --- a/autotest/test_particledata.py +++ b/autotest/test_particledata.py @@ -1,8 +1,51 @@ +from functools import reduce +from itertools import chain + +import matplotlib.pyplot as plt import numpy as np +import pandas as pd +import pytest +from autotest.test_grid_cases import GridCases + +import flopy +from flopy.discretization import StructuredGrid +from flopy.mf6.modflow.mfsimulation import MFSimulation +from flopy.modflow.mf import Modflow +from flopy.modflow.mfdis import ModflowDis +from flopy.modpath import ( + CellDataType, + FaceDataType, + LRCParticleData, + Modpath7, + Modpath7Bas, + Modpath7Sim, + NodeParticleData, + ParticleData, + ParticleGroupNodeTemplate, +) +from flopy.utils.modpathfile import PathlineFile + +# utilities + + +def get_nn(grid: StructuredGrid, k, i, j): + return k * grid.nrow * grid.ncol + i * grid.ncol + j + + +def flatten(a): + return [ + [ + *chain.from_iterable( + xx if isinstance(xx, tuple) else [xx] for xx in x + ) + ] + for x in a + ] + + +# test constructors -from flopy.modpath import ParticleData -structured_plocs = [(1, 1, 1), (1, 1, 2)] structured_dtype = np.dtype( [ ("k", " Iterator[tuple]: + """ + Compute global particle coordinates on the given grid. + + Parameters + ---------- + grid : The grid on which to locate particle release points. + + Returns + ------- + Generates coordinate tuples (x, y, z) + """ + + def cvt_xy(p, vs): + mn, mx = min(vs), max(vs) + span = mx - mn + return mn + span * p + + if grid.grid_type == "structured": + if not hasattr(self.particledata, "k"): + raise ValueError( + f"Particle representation is not structured but grid is" + ) + + def cvt_z(p, k, i, j): + mn, mx = ( + grid.botm[k, i, j], + grid.top[i, j] if k == 0 else grid.botm[k - 1, i, j], + ) + span = mx - mn + return mn + span * p + + def convert(row) -> Tuple[float, float, float]: + verts = grid.get_cell_vertices(row.i, row.j) + xs, ys = list(zip(*verts)) + return [ + cvt_xy(row.localx, xs), + cvt_xy(row.localy, ys), + cvt_z(row.localz, row.k, row.i, row.j), + ] + + else: + if hasattr(self.particledata, "k"): + raise ValueError( + f"Particle representation is structured but grid is not" + ) + + def cvt_z(p, nn): + k, j = grid.get_lni([nn])[0] + mn, mx = ( + grid.botm[k, j], + grid.top[j] if k == 0 else grid.botm[k - 1, j], + ) + span = mx - mn + return mn + span * p + + def convert(row) -> Tuple[float, float, float]: + verts = grid.get_cell_vertices(row.node) + xs, ys = list(zip(*verts)) + return [ + cvt_xy(row.localx, xs), + cvt_xy(row.localy, ys), + cvt_z(row.localz, row.node), + ] + + for t in self.particledata.itertuples(): + yield convert(t) + + def to_prp(self, grid) -> Iterator[tuple]: + """ + Convert particle data to PRT particle release point (PRP) + package data entries for the given grid. A model grid is + required because MODPATH supports several ways to specify + particle release locations by cell ID and subdivision info + or local coordinates, but PRT expects global coordinates. + + Parameters + ---------- + grid : The grid on which to locate particle release points. + + Returns + ------- + Generates PRT particle release point (PRP) package + data tuples: release point index, k, [i,] j, x, y, z. + If the grid is not structured, i is omitted and j is + the within-layer cell index for vertex grids. + """ + + for i, (t, c) in enumerate( + zip( + self.particledata.itertuples(index=False), + self.to_coords(grid), + ) + ): + row = [i] # release point index (irpt) + if "node" in self.particledata: + k, j = grid.get_lni([t.node])[0] + row.extend([(k, j)]) + else: + row.extend([t.k, t.i, t.j]) + row.extend(c) + yield tuple(row) def _get_dtype(self, structured, particleid): """ @@ -421,7 +521,7 @@ def _fmt_string(self): """ fmts = [] - for field in self.particledata.dtype.descr: + for field in self.dtype.descr: vtype = field[1][1].lower() if vtype == "i" or vtype == "b": fmts.append("{:9d}") @@ -542,7 +642,6 @@ def __init__( self.columndivisions5 = columndivisions5 self.rowdivisions6 = rowdivisions6 self.columndivisions6 = columndivisions6 - return def write(self, f=None): """ @@ -637,7 +736,6 @@ def __init__( self.columncelldivisions = columncelldivisions self.rowcelldivisions = rowcelldivisions self.layercelldivisions = layercelldivisions - return def write(self, f=None): """ @@ -668,45 +766,206 @@ def write(self, f=None): ) f.write(line) - return + +def get_release_points(subdivisiondata, grid, k=None, i=None, j=None, nn=None): + if nn is None and (k is None or i is None or j is None): + raise ValueError( + f"A cell (node) must be specified by indices (for structured grids) or node number (for vertex/unstructured)" + ) + + rpts = [] + template = [k, i, j] if nn is None else [nn] + + # get cell coords and span in each dimension + if not (k is None or i is None or j is None): + verts = grid.get_cell_vertices(i, j) + minz, maxz = grid.botm[k, i, j], grid.top[i, j] + elif nn is not None: + verts = grid.get_cell_vertices(nn) + if grid.grid_type == "structured": + k, i, j = grid.get_lrc([nn])[0] + minz, maxz = ( + grid.botm[k, i, j], + grid.top[i, j] if k == 0 else grid.botm[k - 1, i, j], + ) + else: + k, j = grid.get_lni([nn])[0] + minz, maxz = ( + grid.botm[k, j], + grid.top[j] if k == 0 else grid.botm[k - 1, j], + ) + else: + raise ValueError( + f"A cell (node) must be specified by indices (for structured grids) or node number (for vertex/unstructured)" + ) + xs, ys = list(zip(*verts)) + minx, maxx = min(xs), max(xs) + miny, maxy = min(ys), max(ys) + xspan = maxx - minx + yspan = maxy - miny + zspan = maxz - minz + + if isinstance(subdivisiondata, FaceDataType): + # x1 (west) + if ( + subdivisiondata.verticaldivisions1 > 0 + and subdivisiondata.horizontaldivisions1 > 0 + ): + yincr = yspan / subdivisiondata.horizontaldivisions1 + ylocs = [ + (miny + (yincr * 0.5) + (yincr * d)) + for d in range(subdivisiondata.horizontaldivisions1) + ] + zincr = zspan / subdivisiondata.verticaldivisions1 + zlocs = [ + (minz + (zincr * 0.5) + (zincr * d)) + for d in range(subdivisiondata.verticaldivisions1) + ] + prod = list(product(*[ylocs, zlocs])) + rpts = rpts + [template + [minx, p[0], p[1]] for p in prod] + + # x2 (east) + if ( + subdivisiondata.verticaldivisions2 > 0 + and subdivisiondata.horizontaldivisions2 > 0 + ): + yincr = yspan / subdivisiondata.horizontaldivisions2 + ylocs = [ + (miny + (yincr * 0.5) + (yincr * d)) + for d in range(subdivisiondata.horizontaldivisions2) + ] + zincr = zspan / subdivisiondata.verticaldivisions2 + zlocs = [ + (minz + (zincr * 0.5) + (zincr * d)) + for d in range(subdivisiondata.verticaldivisions2) + ] + prod = list(product(*[ylocs, zlocs])) + rpts = rpts + [template + [maxx, p[0], p[1]] for p in prod] + + # y1 (south) + if ( + subdivisiondata.verticaldivisions3 > 0 + and subdivisiondata.horizontaldivisions3 > 0 + ): + xincr = xspan / subdivisiondata.horizontaldivisions3 + xlocs = [ + (minx + (xincr * 0.5) + (xincr * rd)) + for rd in range(subdivisiondata.horizontaldivisions3) + ] + zincr = zspan / subdivisiondata.verticaldivisions3 + zlocs = [ + (minz + (zincr * 0.5) + (zincr * d)) + for d in range(subdivisiondata.verticaldivisions3) + ] + prod = list(product(*[xlocs, zlocs])) + rpts = rpts + [template + [p[0], miny, p[1]] for p in prod] + + # y2 (north) + if ( + subdivisiondata.verticaldivisions4 > 0 + and subdivisiondata.horizontaldivisions4 > 0 + ): + xincr = xspan / subdivisiondata.horizontaldivisions4 + xlocs = [ + (minx + (xincr * 0.5) + (xincr * rd)) + for rd in range(subdivisiondata.horizontaldivisions4) + ] + zincr = zspan / subdivisiondata.verticaldivisions4 + zlocs = [ + (minz + (zincr * 0.5) + (zincr * d)) + for d in range(subdivisiondata.verticaldivisions4) + ] + prod = list(product(*[xlocs, zlocs])) + rpts = rpts + [template + [p[0], maxy, p[1]] for p in prod] + + # z1 (bottom) + if ( + subdivisiondata.rowdivisions5 > 0 + and subdivisiondata.columndivisions5 > 0 + ): + xincr = xspan / subdivisiondata.columndivisions5 + xlocs = [ + (minx + (xincr * 0.5) + (xincr * rd)) + for rd in range(subdivisiondata.columndivisions5) + ] + yincr = yspan / subdivisiondata.rowdivisions5 + ylocs = [ + (miny + (yincr * 0.5) + (yincr * rd)) + for rd in range(subdivisiondata.rowdivisions5) + ] + prod = list(product(*[xlocs, ylocs])) + rpts = rpts + [template + [p[0], p[1], minz] for p in prod] + + # z2 (top) + if ( + subdivisiondata.rowdivisions6 > 0 + and subdivisiondata.columndivisions6 > 0 + ): + xincr = xspan / subdivisiondata.columndivisions6 + xlocs = [ + (minx + (xincr * 0.5) + (xincr * rd)) + for rd in range(subdivisiondata.columndivisions6) + ] + yincr = yspan / subdivisiondata.rowdivisions6 + ylocs = [ + (miny + (yincr * 0.5) + (yincr * rd)) + for rd in range(subdivisiondata.rowdivisions6) + ] + prod = list(product(*[xlocs, ylocs])) + rpts = rpts + [template + [p[0], p[1], maxz] for p in prod] + elif isinstance(subdivisiondata, CellDataType): + xincr = xspan / subdivisiondata.columncelldivisions + xlocs = [ + (minx + (xincr * 0.5) + (xincr * rd)) + for rd in range(subdivisiondata.columncelldivisions) + ] + yincr = yspan / subdivisiondata.rowcelldivisions + ylocs = [ + (miny + (yincr * 0.5) + (yincr * d)) + for d in range(subdivisiondata.rowcelldivisions) + ] + zincr = zspan / subdivisiondata.layercelldivisions + zlocs = [ + (minz + (zincr * 0.5) + (zincr * d)) + for d in range(subdivisiondata.layercelldivisions) + ] + prod = list(product(*[xlocs, ylocs, zlocs])) + rpts = rpts + [template + [p[0], p[1], p[2]] for p in prod] + else: + raise ValueError( + f"Unsupported subdivision data type: {type(subdivisiondata)}" + ) + + return rpts class LRCParticleData: """ - Layer, row, column particle data template class to create MODPATH 7 - particle location input style 2 on cell faces (templatesubdivisiontype = 1) - and/or in cells (templatesubdivisiontype = 2). Particle locations for this - template are specified by layer, row, column regions. + MODPATH 7 particle release location template class for particle input style 2. + Assigns particles to locations on cell faces (templatesubdivisiontype=1) and/or + in cells (templatesubdivisiontype=2) for cells specified by (layer, row, column). Parameters ---------- - subdivisiondata : FaceDataType, CellDataType or list of FaceDataType - and/or CellDataType types - FaceDataType, CellDataType, or a list of FaceDataType and/or - CellDataTypes that are used to create one or more particle templates - in a particle group. If subdivisiondata is None, a default CellDataType - with 27 particles per cell will be created (default is None). - lrcregions : list of lists tuples or np.ndarrays - Layer, row, column (zero-based) regions with particles created using - the specified template parameters. A region is defined as a list/tuple - of minlayer, minrow, mincolumn, maxlayer, maxrow, maxcolumn values. - If subdivisiondata is a list, a list/tuple or array of layer, row, - column regions with the same length as subdivision data must be - provided. If lrcregions is None, particles will be placed in - the first model cell (default is None). + subdivisiondata : FaceDataType, CellDataType or array-like of such, optional + Particle template(s) defining how particles are arranged within each cell. + If None, defaults to CellDataType with 27 particles per cell (default is None). + lrcregions : array-like of array-like, optional + 0-based regions (minlayer, minrow, mincolumn, maxlayer, maxrow, maxcolumn). + If subdivisiondata is array-like, regions must be the same length. + If None, particles are placed in the first model cell (default is None). Examples -------- >>> import flopy - >>> pg = flopy.modpath.LRCParticleData(lrcregions=[0, 0, 0, 3, 10, 10]) + >>> pg = flopy.modpath.LRCParticleData(lrcregions=[[0, 0, 0, 3, 10, 10]]) """ def __init__(self, subdivisiondata=None, lrcregions=None): """ Class constructor - """ self.name = "LRCParticleData" @@ -729,7 +988,7 @@ def __init__(self, subdivisiondata=None, lrcregions=None): ) # validate lrcregions data - if isinstance(lrcregions, (list, tuple)): + if isinstance(lrcregions, (list, tuple, np.ndarray)): # determine if the list or tuple contains lists or tuples alllsttup = all( isinstance(el, (list, tuple, np.ndarray)) for el in lrcregions @@ -780,7 +1039,6 @@ def __init__(self, subdivisiondata=None, lrcregions=None): self.totalcellregioncount = totalcellregioncount self.subdivisiondata = subdivisiondata self.lrcregions = lrcregions - return def write(self, f=None): """ @@ -805,46 +1063,112 @@ def write(self, f=None): # item 2 f.write(f"{self.particletemplatecount} {self.totalcellregioncount}\n") - for sd, lrcregion in zip(self.subdivisiondata, self.lrcregions): + for sd, region in zip(self.subdivisiondata, self.lrcregions): # item 3 f.write( - f"{sd.templatesubdivisiontype} {lrcregion.shape[0]} {sd.drape}\n" + f"{sd.templatesubdivisiontype} {region.shape[0]} {sd.drape}\n" ) # item 4 or 5 sd.write(f) # item 6 - for row in lrcregion: + for row in region: line = "" for lrc in row: line += f"{lrc + 1} " line += "\n" f.write(line) - return + def to_coords(self, grid) -> Iterator[tuple]: + """ + Compute global particle coordinates on the given grid. + + Parameters + ---------- + grid : The grid on which to locate particle release points. + + Returns + ------- + Generator of coordinate tuples (x, y, z) + """ + + for region in self.lrcregions: + for row in region: + mink, mini, minj, maxk, maxi, maxj = row + for k in range(mink, maxk + 1): + for i in range(mini, maxi + 1): + for j in range(minj, maxj + 1): + for sd in self.subdivisiondata: + for rpt in get_release_points( + sd, grid, k, i, j + ): + yield (rpt[3], rpt[4], rpt[5]) + + def to_prp(self, grid) -> Iterator[tuple]: + """ + Convert particle data to PRT particle release point (PRP) + package data entries for the given grid. A model grid is + required because MODPATH supports several ways to specify + particle release locations by cell ID and subdivision info + or local coordinates, but PRT expects global coordinates. + + Parameters + ---------- + grid : The grid on which to locate particle release points. + + Returns + ------- + Generates PRT particle release point (PRP) package + data tuples: release point index, k, i, j, x, y, z + """ + + if grid.grid_type != "structured": + raise ValueError( + f"Particle representation is structured but grid is not" + ) + + irpt_offset = 0 + for region in self.lrcregions: + for row in region: + mink, mini, minj, maxk, maxi, maxj = row + for k in range(mink, maxk + 1): + for i in range(mini, maxi + 1): + for j in range(minj, maxj + 1): + for sd in self.subdivisiondata: + for irpt, rpt in enumerate( + get_release_points(sd, grid, k, i, j) + ): + assert rpt[0] == k + assert rpt[1] == i + assert rpt[2] == j + yield ( + irpt_offset + irpt, + k, + i, + j, + rpt[3], + rpt[4], + rpt[5], + ) + irpt_offset += irpt + 1 class NodeParticleData: """ - Node particle data template class to create MODPATH 7 particle location - input style 3 on cell faces (templatesubdivisiontype = 1) and/or in cells - (templatesubdivisiontype = 2). Particle locations for this template are - specified by nodes. + MODPATH 7 particle release location template class for particle input style 3. + Assigns particles to locations on cell faces (templatesubdivisiontype=1) and/or + in cells (templatesubdivisiontype=2) for cells specified by node number Parameters ---------- - subdivisiondata : FaceDataType, CellDataType or list of FaceDataType - and/or CellDataType types - FaceDataType, CellDataType, or a list of FaceDataType and/or - CellDataTypes that are used to create one or more particle templates - in a particle group. If subdivisiondata is None, a default CellDataType - with 27 particles per cell will be created (default is None). - nodes : int, list of ints, tuple of ints, or np.ndarray - Nodes (zero-based) with particles created using the specified template - parameters. If subdivisiondata is a list, a list of nodes with the same - length as subdivision data must be provided. If nodes is None, - particles will be placed in the first model cell (default is None). + subdivisiondata : FaceDataType, CellDataType array-like of such, optional + Particle template(s) defining how particles are arranged within each cell. + If None, defaults to CellDataType with 27 particles per cell (default is None). + nodes : int or array-like of ints, optional + 0-based node numbers. If subdivisiondata is array-like, nodes must be array- + like of the same length. If None, particles are placed in the first model cell + (default is None). Examples -------- @@ -892,10 +1216,10 @@ def __init__(self, subdivisiondata=None, nodes=None): if len(nodes.shape) == 1: nodes = nodes.reshape(1, nodes.shape[0]) # convert to a list of numpy arrays - t = [] - for idx in range(nodes.shape[0]): - t.append(np.array(nodes[idx, :], dtype=np.int32)) - nodes = t + nodes = [ + np.array(nodes[i, :], dtype=np.int32) + for i in range(nodes.shape[0]) + ] elif isinstance(nodes, (list, tuple)): # convert a single list/tuple to a list of tuples if only one # entry in subdivisiondata @@ -939,7 +1263,6 @@ def __init__(self, subdivisiondata=None, nodes=None): self.totalcellcount = totalcellcount self.subdivisiondata = subdivisiondata self.nodedata = nodes - return def write(self, f=None): """ @@ -985,4 +1308,53 @@ def write(self, f=None): line += "\n" f.write(line) - return + def to_coords(self, grid) -> Iterator[tuple]: + """ + Compute global particle coordinates on the given grid. + + Parameters + ---------- + grid : The grid on which to locate particle release points. + + Returns + ------- + Generator of coordinate tuples (x, y, z) + """ + + for sd in self.subdivisiondata: + for nd in self.nodedata: + rpts = get_release_points(sd, grid, nn=int(nd[0])) + for i, rpt in enumerate(rpts): + yield (rpt[1], rpt[2], rpt[3]) + + def to_prp(self, grid) -> Iterator[tuple]: + """ + Convert particle data to PRT particle release point (PRP) + package data entries for the given grid. A model grid is + required because MODPATH supports several ways to specify + particle release locations by cell ID and subdivision info + or local coordinates, but PRT expects global coordinates. + + Parameters + ---------- + grid : The grid on which to locate particle release points. + + Returns + ------- + Generator of PRT particle release point (PRP) package + data tuples: release point index, k, j, x, y, z + """ + + for sd in self.subdivisiondata: + for nd in self.nodedata: + rpts = get_release_points(sd, grid, nn=int(nd[0])) + for irpt, rpt in enumerate(rpts): + row = [irpt] + if grid.grid_type == "structured": + k, i, j = grid.get_lrc([rpt[0]])[0] + row.extend([k, i, j]) + else: + k, j = grid.get_lni([rpt[0]])[0] + row.extend([(k, j)]) + row.extend([rpt[1], rpt[2], rpt[3]]) + yield tuple(row) diff --git a/flopy/plot/crosssection.py b/flopy/plot/crosssection.py index 4ac019a0c0..1aac6c685d 100644 --- a/flopy/plot/crosssection.py +++ b/flopy/plot/crosssection.py @@ -6,10 +6,12 @@ import numpy as np import pandas as pd from matplotlib.patches import Polygon +from numpy.lib.recfunctions import stack_arrays from ..utils import geometry, import_optional_dependency from ..utils.geospatial_utils import GeoSpatialUtil from . import plotutil +from .plotutil import to_mp7_endpoints, to_mp7_pathlines warnings.simplefilter("always", PendingDeprecationWarning) @@ -1058,15 +1060,27 @@ def plot_pathline( self, pl, travel_time=None, method="cell", head=None, **kwargs ): """ - Plot the MODPATH pathlines + Plot particle pathlines. Compatible with MODFLOW 6 PRT particle track + data format, or MODPATH 6 or 7 pathline data format. Parameters ---------- - pl : list of rec arrays or a single rec array - rec array or list of rec arrays is data returned from - modpathfile PathlineFile get_data() or get_alldata() - methods. Data in rec array is 'x', 'y', 'z', 'time', - 'k', and 'particleid'. + pl : list of recarrays or dataframes, or a single recarray or dataframe + Particle pathline data. If a list of recarrays or dataframes, + each must contain the path of only a single particle. If just + one recarray or dataframe, it should contain the paths of all + particles. The flopy.utils.modpathfile.PathlineFile.get_data() + or get_alldata() return value may be passed directly as this + argument. + + For MODPATH 6 or 7 pathlines, columns must include 'x', 'y', 'z', + 'time', 'k', and 'particleid'. Additional columns are ignored. + + For MODFLOW 6 PRT pathlines, columns must include 'x', 'y', 'z', + 't', 'trelease', 'imdl', 'iprp', 'irpt', and 'ilay'. Additional + columns are ignored. Note that MODFLOW 6 PRT does not assign to + particles a unique ID, but infers particle identity from 'imdl', + 'iprp', 'irpt', and 'trelease' combos (i.e. via composite key). travel_time : float or str travel_time is a travel time selection for the displayed pathlines. If a float is passed then pathlines with times @@ -1090,32 +1104,40 @@ def plot_pathline( Returns ------- lc : matplotlib.collections.LineCollection - + The pathlines added to the plot. """ from matplotlib.collections import LineCollection - # make sure pathlines is a list + # make sure pl is a list if not isinstance(pl, list): - pids = np.unique(pl["particleid"]) - if len(pids) > 1: - pl = [pl[pl["particleid"] == pid] for pid in pids] - else: - pl = [pl] + if not isinstance(pl, (np.ndarray, pd.DataFrame)): + raise TypeError( + "Pathline data must be a list of recarrays or dataframes, " + f"or a single recarray or dataframe, got {type(pl)}" + ) + pl = [pl] - # make sure each element in pl is a recarray + # convert prt to mp7 format pl = [ - p.to_records(index=False) if isinstance(p, pd.DataFrame) else p + to_mp7_pathlines( + p.to_records(index=False) if isinstance(p, pd.DataFrame) else p + ) for p in pl ] + # merge pathlines then split on particleid + pls = stack_arrays(pl, asrecarray=True, usemask=False) + pids = np.unique(pls["particleid"]) + pl = [pls[pls["particleid"] == pid] for pid in pids] + + # configure plot settings marker = kwargs.pop("marker", None) markersize = kwargs.pop("markersize", None) markersize = kwargs.pop("ms", markersize) markercolor = kwargs.pop("markercolor", None) markerevery = kwargs.pop("markerevery", 1) ax = kwargs.pop("ax", self.ax) - if "colors" not in kwargs: kwargs["colors"] = "0.5" @@ -1180,7 +1202,7 @@ def plot_timeseries( self, ts, travel_time=None, method="cell", head=None, **kwargs ): """ - Plot the MODPATH timeseries. + Plot the MODPATH timeseries. Not compatible with MODFLOW 6 PRT. Parameters ---------- @@ -1225,22 +1247,64 @@ def plot_endpoint( **kwargs, ): """ + Plot particle endpoints. Compatible with MODFLOW 6 PRT particle + track data format, or MODPATH 6 or 7 endpoint data format. Parameters ---------- - + ep : recarray or dataframe + A numpy recarray with the endpoint particle data from the + MODPATH endpoint file. + + For MODFLOW 6 PRT pathlines, columns must include 'x', 'y', 'z', + 't', 'trelease', 'imdl', 'iprp', 'irpt', and 'ilay'. Additional + columns are ignored. Note that MODFLOW 6 PRT does not assign to + particles a unique ID, but infers particle identity from 'imdl', + 'iprp', 'irpt', and 'trelease' combos (i.e. via composite key). + direction : str + String defining if starting or ending particle locations should be + considered. (default is 'ending') + selection : tuple + tuple that defines the zero-base layer, row, column location + (l, r, c) to use to make a selection of particle endpoints. + The selection could be a well location to determine capture zone + for the well. If selection is None, all particle endpoints for + the user-sepcified direction will be plotted. (default is None) + selection_direction : str + String defining is a selection should be made on starting or + ending particle locations. If selection is not None and + selection_direction is None, the selection direction will be set + to the opposite of direction. (default is None) + + kwargs : ax, c, s or size, colorbar, colorbar_label, shrink. The + remaining kwargs are passed into the matplotlib scatter + method. If colorbar is True a colorbar will be added to the plot. + If colorbar_label is passed in and colorbar is True then + colorbar_label will be passed to the colorbar set_label() + method. If shrink is passed in and colorbar is True then + the colorbar size will be set using shrink. Returns ------- + sp : matplotlib.collections.PathCollection + The PathCollection added to the plot. """ - ax = kwargs.pop("ax", self.ax) - # colorbar kwargs + # convert ep to recarray if needed + if isinstance(ep, pd.DataFrame): + ep = ep.to_records(index=False) + + # convert ep from prt to mp7 format if needed + if "t" in ep.dtype.names: + from .plotutil import to_mp7_endpoints + + ep = to_mp7_endpoints(ep) + + # configure plot settings + ax = kwargs.pop("ax", self.ax) createcb = kwargs.pop("colorbar", False) colorbar_label = kwargs.pop("colorbar_label", "Endpoint Time") shrink = float(kwargs.pop("shrink", 1.0)) - - # marker kwargs s = kwargs.pop("s", np.sqrt(50)) s = float(kwargs.pop("size", s)) ** 2.0 diff --git a/flopy/plot/map.py b/flopy/plot/map.py index 27a7ab76db..30d278c10d 100644 --- a/flopy/plot/map.py +++ b/flopy/plot/map.py @@ -6,9 +6,11 @@ import pandas as pd from matplotlib.collections import LineCollection, PathCollection from matplotlib.path import Path +from numpy.lib.recfunctions import stack_arrays from ..utils import geometry from . import plotutil +from .plotutil import to_mp7_endpoints, to_mp7_pathlines warnings.simplefilter("always", PendingDeprecationWarning) @@ -700,7 +702,8 @@ def plot_vector( def plot_pathline(self, pl, travel_time=None, **kwargs): """ - Plot MODPATH pathlines. + Plot particle pathlines. Compatible with MODFLOW 6 PRT particle track + data format, or MODPATH 6 or 7 pathline data format. Parameters ---------- @@ -708,11 +711,18 @@ def plot_pathline(self, pl, travel_time=None, **kwargs): Particle pathline data. If a list of recarrays or dataframes, each must contain the path of only a single particle. If just one recarray or dataframe, it should contain the paths of all - particles. Pathline data returned from PathlineFile.get_data() - or get_alldata() can be passed directly as this argument. Data - columns should be 'x', 'y', 'z', 'time', 'k', and 'particleid' - at minimum. Additional columns are ignored. The 'particleid' - column must be unique to each particle path. + particles. The flopy.utils.modpathfile.PathlineFile.get_data() + or get_alldata() return value may be passed directly as this + argument. + + For MODPATH 6 or 7 pathlines, columns must include 'x', 'y', 'z', + 'time', 'k', and 'particleid'. Additional columns are ignored. + + For MODFLOW 6 PRT pathlines, columns must include 'x', 'y', 'z', + 't', 'trelease', 'imdl', 'iprp', 'irpt', and 'ilay'. Additional + columns are ignored. Note that MODFLOW 6 PRT does not assign to + particles a unique ID, but infers particle identity from 'imdl', + 'iprp', 'irpt', and 'trelease' combos (i.e. via composite key). travel_time : float or str Travel time selection. If a float, then pathlines with total time less than or equal to the given value are plotted. If a @@ -733,19 +743,29 @@ def plot_pathline(self, pl, travel_time=None, **kwargs): from matplotlib.collections import LineCollection - # make sure pathlines is a list + # make sure pl is a list if not isinstance(pl, list): - pids = np.unique(pl["particleid"]) - if len(pids) > 1: - pl = [pl[pl["particleid"] == pid] for pid in pids] - else: - pl = [pl] + if not isinstance(pl, (np.ndarray, pd.DataFrame)): + raise TypeError( + "Pathline data must be a list of recarrays or dataframes, " + f"or a single recarray or dataframe, got {type(pl)}" + ) + pl = [pl] + # convert prt to mp7 format pl = [ - p.to_records(index=False) if isinstance(p, pd.DataFrame) else p + to_mp7_pathlines( + p.to_records(index=False) if isinstance(p, pd.DataFrame) else p + ) for p in pl ] + # merge pathlines then split on particleid + pls = stack_arrays(pl, asrecarray=True, usemask=False) + pids = np.unique(pls["particleid"]) + pl = [pls[pls["particleid"] == pid] for pid in pids] + + # configure layer if "layer" in kwargs: kon = kwargs.pop("layer") if isinstance(kon, bytes): @@ -758,19 +778,21 @@ def plot_pathline(self, pl, travel_time=None, **kwargs): else: kon = self.layer + # configure plot settings marker = kwargs.pop("marker", None) markersize = kwargs.pop("markersize", None) markersize = kwargs.pop("ms", markersize) markercolor = kwargs.pop("markercolor", None) markerevery = kwargs.pop("markerevery", 1) ax = kwargs.pop("ax", self.ax) - if "colors" not in kwargs: kwargs["colors"] = "0.5" + # compose pathlines linecol = [] markers = [] for p in pl: + # filter by travel time tp = plotutil.filter_modpath_by_travel_time(p, travel_time) # transform data! @@ -781,8 +803,10 @@ def plot_pathline(self, pl, travel_time=None, **kwargs): self.mg.yoffset, self.mg.angrot_radians, ) + # build polyline array arr = np.vstack((x0r, y0r)).T + # select based on layer if kon >= 0: kk = p["k"].copy().reshape(p.shape[0], 1) @@ -790,7 +814,8 @@ def plot_pathline(self, pl, travel_time=None, **kwargs): arr = np.ma.masked_where((kk != kon), arr) else: arr = np.ma.asarray(arr) - # append line to linecol if there is some unmasked segment + + # append pathline if there are any unmasked segments if not arr.mask.all(): linecol.append(arr) if not arr.mask.all(): @@ -799,6 +824,7 @@ def plot_pathline(self, pl, travel_time=None, **kwargs): for xy in arr[::markerevery]: if not np.all(xy.mask): markers.append(xy) + # create line collection lc = None if len(linecol) > 0: @@ -815,13 +841,15 @@ def plot_pathline(self, pl, travel_time=None, **kwargs): ms=markersize, ) + # set axis limits ax.set_xlim(self.extent[0], self.extent[1]) ax.set_ylim(self.extent[2], self.extent[3]) + return lc def plot_timeseries(self, ts, travel_time=None, **kwargs): """ - Plot MODPATH timeseries. + Plot MODPATH 6 or 7 timeseries. Incompatible with MODFLOW 6 PRT. Parameters ---------- @@ -865,13 +893,20 @@ def plot_endpoint( **kwargs, ): """ - Plot MODPATH endpoints. + Plot particle endpoints. Compatible with MODFLOW 6 PRT particle + track data format, or MODPATH 6 or 7 endpoint data format. Parameters ---------- ep : recarray or dataframe A numpy recarray with the endpoint particle data from the - MODPATH endpoint file + MODPATH endpoint file. + + For MODFLOW 6 PRT pathlines, columns must include 'x', 'y', 'z', + 't', 'trelease', 'imdl', 'iprp', 'irpt', and 'ilay'. Additional + columns are ignored. Note that MODFLOW 6 PRT does not assign to + particles a unique ID, but infers particle identity from 'imdl', + 'iprp', 'irpt', and 'trelease' combos (i.e. via composite key). direction : str String defining if starting or ending particle locations should be considered. (default is 'ending') @@ -902,6 +937,17 @@ def plot_endpoint( """ + # convert ep to recarray if needed + if isinstance(ep, pd.DataFrame): + ep = ep.to_records(index=False) + + # convert ep from prt to mp7 format if needed + if "t" in ep.dtype.names: + from .plotutil import to_mp7_endpoints + + ep = to_mp7_endpoints(ep) + + # parse selection options ax = kwargs.pop("ax", self.ax) tep, _, xp, yp = plotutil.parse_modpath_selection_options( ep, direction, selection, selection_direction diff --git a/flopy/plot/plotutil.py b/flopy/plot/plotutil.py index 52001cbd87..b862331693 100644 --- a/flopy/plot/plotutil.py +++ b/flopy/plot/plotutil.py @@ -6,10 +6,12 @@ """ import os import warnings +from itertools import repeat from typing import Union import matplotlib.pyplot as plt import numpy as np +import pandas as pd from ..datbase import DataInterface, DataType from ..utils import Util3d, import_optional_dependency @@ -2591,3 +2593,350 @@ def parse_modpath_selection_options( tep = ep.copy() return tep, istart, xp, yp + + +# define minimum expected fields +_mp7_pathline_fields = ["x", "y", "z", "time", "k", "particleid"] +_prt_pathline_fields = [ + "x", + "y", + "z", + "t", + "trelease", + "imdl", + "iprp", + "irpt", + "ilay", +] + + +def to_mp7_pathlines( + data: Union[np.recarray, pd.DataFrame] +) -> Union[np.recarray, pd.DataFrame]: + """ + Convert MODFLOW 6 PRT pathline data to MODPATH 7 pathline format. + + Parameters + ---------- + data : np.recarray or pd.DataFrame + MODFLOW 6 PRT pathline data + + Returns + ------- + np.recarray or pd.DataFrame (consistent with input type) + """ + + # determine return type + ret_type = type(data) + + # convert to dataframe if needed + if not isinstance(data, pd.DataFrame): + data = pd.DataFrame(data) + + # check format + dt = data.dtypes + if not ( + all(n in dt for n in _mp7_pathline_fields) + or all(n in dt for n in _prt_pathline_fields) + ): + raise ValueError( + "Pathline data must contain all of the following columns: " + f"{_mp7_pathline_fields} for MODPATH 7, or " + f"{_prt_pathline_fields} for MODFLOW 6 PRT" + ) + + # return early if already in MP7 format + if "t" not in dt: + return ( + data if ret_type == pd.DataFrame else data.to_records(index=False) + ) + + # assign a unique particle index column incrementing an integer + # for each unique combination of irpt, iprp, imdl, and trelease + data = data.sort_values(["imdl", "iprp", "irpt", "trelease"]) + particles = data.groupby(["imdl", "iprp", "irpt", "trelease"]) + seqn_key = "sequencenumber" + data[seqn_key] = particles.ngroup() + + # convert to recarray + data = data.to_records(index=False) + + # define mp7 dtype + mp7_dtypes = np.dtype( + [ + ("particleid", np.int32), # same as sequencenumber + ("particlegroup", np.int32), + ( + seqn_key, + np.int32, + ), # mp7 sequencenumber (globally unique auto-generated ID) + ( + "particleidloc", + np.int32, + ), # mp7 particle ID (unique within a group, user-assigned or autogenerated) + ("time", np.float32), + ("x", np.float32), + ("y", np.float32), + ("z", np.float32), + ("k", np.int32), + ("node", np.int32), + ("xloc", np.float32), + ("yloc", np.float32), + ("zloc", np.float32), + ("stressperiod", np.int32), + ("timestep", np.int32), + ] + ) + + # build mp7 format recarray + ret = np.core.records.fromarrays( + [ + data[seqn_key], + data["iprp"], + data[seqn_key], + data["irpt"], + data["t"], + data["x"], + data["y"], + data["z"], + data["ilay"], + data["icell"], + # todo local coords (xloc, yloc, zloc) + np.zeros(data.shape[0]), + np.zeros(data.shape[0]), + np.zeros(data.shape[0]), + data["kper"], + data["kstp"], + ], + dtype=mp7_dtypes, + ) + + return pd.DataFrame(ret) if ret_type == pd.DataFrame else ret + + +def to_mp7_endpoints( + data: Union[np.recarray, pd.DataFrame] +) -> Union[np.recarray, pd.DataFrame]: + """ + Convert MODFLOW 6 PRT pathline data to MODPATH 7 endpoint format. + + Parameters + ---------- + data : np.recarray or pd.DataFrame + MODFLOW 6 PRT pathline data + + Returns + ------- + np.recarray or pd.DataFrame (consistent with input type) + """ + + # determine return type + ret_type = type(data) + + # convert to dataframe if needed + if isinstance(data, np.recarray): + data = pd.DataFrame(data) + + # assign a unique particle index column incrementing an integer + # for each unique combination of irpt, iprp, imdl, and trelease + data = data.sort_values(["imdl", "iprp", "irpt", "trelease"]) + particles = data.groupby(["imdl", "iprp", "irpt", "trelease"]) + seqn_key = "sequencenumber" + data[seqn_key] = particles.ngroup() + + # select startpoints and endpoints, sorting by sequencenumber + startpts = ( + data.sort_values("t").groupby(seqn_key).head(1).sort_values(seqn_key) + ) + endpts = ( + data.sort_values("t").groupby(seqn_key).tail(1).sort_values(seqn_key) + ) + + # add columns for + pairings = [ + # initial coordinates + ("x0", "x"), + ("y0", "y"), + ("z0", "z"), + # initial zone + ("zone0", "izone"), + # initial node number + ("node0", "icell"), + # initial layer + ("k0", "ilay"), + ] + conditions = [ + startpts[seqn_key].eq(row[seqn_key]) for _, row in startpts.iterrows() + ] + for fl, fr in pairings: + endpts[fl] = np.select(conditions, startpts[fr].to_numpy()) + + # convert to recarray + endpts = endpts.to_records(index=False) + + # define mp7 dtype + mp7_dtype = np.dtype( + [ + ( + "particleid", + np.int32, + ), # mp7 sequencenumber (globally unique auto-generated ID) + ("particlegroup", np.int32), + ( + "particleidloc", + np.int32, + ), # mp7 particle ID (unique within a group, user-assigned or autogenerated) + ("status", np.int32), + ("time0", np.float32), + ("time", np.float32), + ("node0", np.int32), + ("k0", np.int32), + ("xloc0", np.float32), + ("yloc0", np.float32), + ("zloc0", np.float32), + ("x0", np.float32), + ("y0", np.float32), + ("z0", np.float32), + ("zone0", np.int32), + ("initialcellface", np.int32), + ("node", np.int32), + ("k", np.int32), + ("xloc", np.float32), + ("yloc", np.float32), + ("zloc", np.float32), + ("x", np.float32), + ("y", np.float32), + ("z", np.float32), + ("zone", np.int32), + ("cellface", np.int32), + ] + ) + + # build mp7 format recarray + ret = np.core.records.fromarrays( + [ + endpts["sequencenumber"], + endpts["iprp"], + endpts["irpt"], + endpts["istatus"], + endpts["trelease"], + endpts["t"], + endpts["node0"], + endpts["k0"], + # todo initial local coords (xloc0, yloc0, zloc0) + np.zeros(endpts.shape[0]), + np.zeros(endpts.shape[0]), + np.zeros(endpts.shape[0]), + endpts["x0"], + endpts["y0"], + endpts["z0"], + endpts["zone0"], + np.zeros(endpts.shape[0]), # todo initial cell face? + endpts["icell"], + endpts["ilay"], + # todo local coords (xloc, yloc, zloc) + np.zeros(endpts.shape[0]), + np.zeros(endpts.shape[0]), + np.zeros(endpts.shape[0]), + endpts["x"], + endpts["y"], + endpts["z"], + endpts["izone"], + np.zeros(endpts.shape[0]), # todo cell face? + ], + dtype=mp7_dtype, + ) + + return pd.DataFrame(ret) if ret_type == pd.DataFrame else ret + + +def to_prt_pathlines( + data: Union[np.recarray, pd.DataFrame] +) -> Union[np.recarray, pd.DataFrame]: + """ + Convert MODPATH 7 pathline or endpoint data to MODFLOW 6 PRT pathline format. + + Parameters + ---------- + data : np.recarray or pd.DataFrame + MODPATH 7 pathline or endpoint data + + Returns + ------- + np.recarray or pd.DataFrame (consistent with input type) + """ + + # determine return type + ret_type = type(data) + + # convert to dataframe if needed + if isinstance(data, np.recarray): + data = pd.DataFrame(data) + + # check format + dt = data.dtypes + if not ( + all(n in dt for n in _mp7_pathline_fields) + or all(n in dt for n in _prt_pathline_fields) + ): + raise ValueError( + "Pathline data must contain all of the following columns: " + f"{_mp7_pathline_fields} for MODPATH 7, or " + f"{_prt_pathline_fields} for MODFLOW 6 PRT" + ) + + # return early if already in PRT format + if "t" in dt: + return ( + data if ret_type == pd.DataFrame else data.to_records(index=False) + ) + + # convert to recarray + data = data.to_records(index=False) + + # define prt dtype + prt_dtypes = np.dtype( + [ + ("kper", np.int32), + ("kstp", np.int32), + ("imdl", np.int32), + ("iprp", np.int32), + ("irpt", np.int32), + ("ilay", np.int32), + ("icell", np.int32), + ("izone", np.int32), + ("istatus", np.int32), + ("ireason", np.int32), + ("trelease", np.float32), + ("t", np.float32), + ("x", np.float32), + ("y", np.float32), + ("z", np.float32), + ("name", str), + ] + ) + + # build prt format recarray + ret = np.core.records.fromarrays( + [ + data["stressperiod"], + data["timestep"], + np.zeros(data.shape[0]), + data["particlegroup"], + data["sequencenumber"], + data["k"], + data["node"], + np.zeros(data.shape[0]), # todo izone? + np.zeros(data.shape[0]), # todo istatus? + np.zeros(data.shape[0]), # todo ireason? + np.zeros(data.shape[0]), # todo trelease? + data["time"], + data["x"], + data["y"], + data["z"], + np.zeros(data.shape[0]), + ], + dtype=prt_dtypes, + ) + + return pd.DataFrame(ret) if ret_type == pd.DataFrame else ret diff --git a/flopy/utils/binaryfile.py b/flopy/utils/binaryfile.py index 8ac1416ae4..d818af9e3e 100644 --- a/flopy/utils/binaryfile.py +++ b/flopy/utils/binaryfile.py @@ -11,7 +11,7 @@ import os import warnings from pathlib import Path -from typing import Optional, Union +from typing import List, Optional, Union import numpy as np @@ -1577,7 +1577,7 @@ def get_data( text=None, paknam=None, full3D=False, - ): + ) -> Union[List, np.ndarray]: """ Get data from the binary budget file. diff --git a/flopy/utils/voronoi.py b/flopy/utils/voronoi.py index ddc512081f..6756e98162 100644 --- a/flopy/utils/voronoi.py +++ b/flopy/utils/voronoi.py @@ -1,3 +1,6 @@ +from math import sqrt +from typing import Iterator, Tuple + import numpy as np from .cvfdutil import get_disv_gridprops @@ -5,7 +8,9 @@ from .utl_import import import_optional_dependency -def get_sorted_vertices(icell_vertices, vertices): +def get_sorted_vertices( + icell_vertices, vertices, verbose=False +) -> Iterator[Tuple[float, int]]: centroid = vertices[icell_vertices].mean(axis=0) tlist = [] for i, iv in enumerate(icell_vertices): @@ -13,8 +18,39 @@ def get_sorted_vertices(icell_vertices, vertices): dx = x - centroid[0] dy = y - centroid[1] tlist.append((np.arctan2(-dy, dx), iv)) + + # convert to dictionary and back again to weed out duplicate angles, + # which it's assumed indicate vertices with duplicate coordinates + tlist = list(dict(tlist).items()) tlist.sort() - return [iv for angl, iv in tlist] + + # weed out (near-)180-degree-angle vertices, which presumably should + # occur only along the outer boundary of the domain + for i, (angl1, iv1) in enumerate(tlist): + (angl0, iv0) = tlist[(i - 1) % len(tlist)] + (angl2, iv2) = tlist[(i + 1) % len(tlist)] + x0, y0 = vertices[iv0] + x1, y1 = vertices[iv1] + x2, y2 = vertices[iv2] + s0x = x0 - x1 + s0y = y0 - y1 + s0mag = sqrt(s0x * s0x + s0y * s0y) + s2x = x2 - x1 + s2y = y2 - y1 + s2mag = sqrt(s2x * s2x + s2y * s2y) + sinang = (s0x * s2y - s0y * s2x) / (s0mag * s2mag) + + # check for near-180 angle by checking for a small magnitude for + # sine of the angle and a negative dot product for the two edge vectors + # emanating from the vertex (to distinguish from a near-zero angle); + # might be a more efficient way; tolerance for |sin(angle)| is + # hardwired to arbitrary value of 0.00001 + if abs(sinang) < 0.00001 and s0x * s2x + s0y * s2y < 0: + if verbose: + print("Omitting ", x1, y1, sinang) + continue + + yield iv1 def get_valid_faces(vor): @@ -196,7 +232,9 @@ def tri2vor(tri, **kwargs): vor_verts = np.array(vor_verts) for icell in range(len(vor_iverts)): iverts_cell = vor_iverts[icell] - vor_iverts[icell] = get_sorted_vertices(iverts_cell, vor_verts) + vor_iverts[icell] = list( + get_sorted_vertices(iverts_cell, vor_verts) + ) return vor_verts, vor_iverts From 5a3047ea58a0f0e6cb3060537e5c64d8e63b7e6d Mon Sep 17 00:00:00 2001 From: wpbonelli Date: Sun, 24 Dec 2023 11:06:21 -0500 Subject: [PATCH 19/47] test(particledata): mark test requiring pyshp (#2051) --- autotest/test_particledata.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/autotest/test_particledata.py b/autotest/test_particledata.py index 8840ef42da..48c8d28dd0 100644 --- a/autotest/test_particledata.py +++ b/autotest/test_particledata.py @@ -6,6 +6,7 @@ import pandas as pd import pytest from autotest.test_grid_cases import GridCases +from modflow_devtools.markers import requires_pkg import flopy from flopy.discretization import StructuredGrid @@ -635,6 +636,7 @@ def test_nodeparticledata_to_prp_dis_1_per_face(): assert len(rpts) == num_cells * 6 +@requires_pkg("shapefile") def test_nodeparticledata_prp_disv_big(function_tmpdir): Lx = 10000.0 Ly = 10500.0 From 96ede0db6c3ce82f566b3e32259cd007f8181db3 Mon Sep 17 00:00:00 2001 From: wpbonelli Date: Wed, 27 Dec 2023 22:47:55 -0500 Subject: [PATCH 20/47] docs(readme): fix broken links, default to latest rtd (#2054) * fix broken links * link to RTD instead of github where possible * consistently link to latest ReadTheDocs (previously mixed stable/latest) --- README.md | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/README.md b/README.md index ad2f2c0341..5eb9c45666 100644 --- a/README.md +++ b/README.md @@ -20,14 +20,14 @@ Introduction ----------------------------------------------- -FloPy includes support for [MODFLOW 6](docs/mf6.md), MODFLOW-2005, MODFLOW-NWT, MODFLOW-USG, and MODFLOW-2000. Other supported MODFLOW-based models include MODPATH (version 6 and 7), MT3DMS, MT3D-USGS, and SEAWAT. +FloPy includes support for [MODFLOW 6](https://github.com/MODFLOW-USGS/modflow6), MODFLOW-2005, MODFLOW-NWT, MODFLOW-USG, and MODFLOW-2000. Other supported MODFLOW-based models include MODPATH (version 6 and 7), MT3DMS, MT3D-USGS, and SEAWAT. For general modeling issues, please consult a modeling forum, such as the [MODFLOW Users Group](https://groups.google.com/forum/#!forum/modflow). Other MODFLOW resources are listed in the [MODFLOW Resources](https://github.com/modflowpy/flopy#modflow-resources) section. Documentation ----------------------------------------------- -* [Latest release](https://flopy.readthedocs.io) -* [Current release candidate](https://flopy.readthedocs.io/en/latest/) +* [Latest release](https://flopy.readthedocs.io/en/stable) +* [Current release candidate](https://flopy.readthedocs.io/en/latest) Installation ----------------------------------------------- @@ -40,7 +40,7 @@ matplotlib >=1.4.0 pandas >=2.0.0 ``` -Dependencies for optional features are summarized [here](.docs/optional_dependencies.md). +Dependencies for optional features are summarized [here](https://flopy.readthedocs.io/en/latest/md/optional_dependencies.html). To install type: @@ -57,7 +57,7 @@ After FloPy is installed, MODFLOW and related programs can be installed using th get-modflow : -See the [docs](.docs/md/get_modflow.md) for more information. +See the [docs](https://flopy.readthedocs.io/en/latest/md/get_modflow.html) for more information. Getting Started @@ -104,9 +104,9 @@ pmv.plot_vector(qx, qy, normalize=True, color="white") Additional FloPy Resources ------------------------------------------------ -- [FloPy tutorials](https://flopy.readthedocs.io/en/stable/tutorials.html) and scripts demonstrating the use of FloPy to run and post-process MODFLOW-based models. +- [FloPy tutorials](https://flopy.readthedocs.io/en/latest/tutorials.html) and scripts demonstrating the use of FloPy to run and post-process MODFLOW-based models. -- [FloPy example notebooks](https://flopy.readthedocs.io/en/stable/notebooks.html) demonstrating the use of FloPy pre- and post-processing capabilities with a variety of MODFLOW-based models. +- [FloPy example notebooks](https://flopy.readthedocs.io/en/latest/notebooks.html) demonstrating the use of FloPy pre- and post-processing capabilities with a variety of MODFLOW-based models. - [MODFLOW 6 example problems](https://modflow6-examples.readthedocs.io/en/latest/) demonstrating FloPy use to create, run, and post-process MODFLOW 6 models. @@ -114,7 +114,7 @@ Additional FloPy Resources - A table of the supported and proposed model checks implemented in FloPy is available in [docs/model_checks.md](docs/model_checks.md) on the github repo. -- A summary of changes in each FloPy version is available in [docs/version_changes.md](docs/version_changes.md) on the github repo. +- A summary of changes in each FloPy version is available in [docs/version_changes.md](https://flopy.readthedocs.io/en/latest/md/version_changes.html) on the github repo. Questions ------------------------------------------------ From 3101838c6976a1c33ae653b7c2c72571759fde21 Mon Sep 17 00:00:00 2001 From: wpbonelli Date: Tue, 16 Jan 2024 08:20:59 -0500 Subject: [PATCH 21/47] docs(examples): fix language re: supported MF6 models (#2060) --- .docs/Notebooks/mf6_simple_model_example.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.docs/Notebooks/mf6_simple_model_example.py b/.docs/Notebooks/mf6_simple_model_example.py index 6c7da6deb4..5a4ca037ef 100644 --- a/.docs/Notebooks/mf6_simple_model_example.py +++ b/.docs/Notebooks/mf6_simple_model_example.py @@ -65,7 +65,7 @@ # One big difference between MODFLOW 6 and previous MODFLOW versions is that MODFLOW 6 is based on the concept of a simulation. A simulation consists of the following: # # * Temporal discretization (TDIS) -# * One or more models (GWF is the only model supported at present) +# * One or more models (e.g. GWF, GWT) # * Zero or more exchanges (instructions for how models are coupled) # * Solutions # From 6899553828725a302e23b5ec787cea481ce85d59 Mon Sep 17 00:00:00 2001 From: Martin Vonk <66305055+martinvonk@users.noreply.github.com> Date: Wed, 17 Jan 2024 17:27:09 +0100 Subject: [PATCH 22/47] feat: add static methods to read gridgen quadtreegrid files (#2061) * add methods to read gridgen files * change back local imports * isort * fix black and typo * use os.path.join instead of pathlib * fix some more typos * close #2059 --- flopy/utils/gridgen.py | 474 +++++++++++++++++++++++++++-------------- 1 file changed, 310 insertions(+), 164 deletions(-) diff --git a/flopy/utils/gridgen.py b/flopy/utils/gridgen.py index d8033b25f9..2aa1eea18f 100644 --- a/flopy/utils/gridgen.py +++ b/flopy/utils/gridgen.py @@ -2,7 +2,7 @@ import subprocess import warnings from pathlib import Path -from typing import Union +from typing import List, Union import numpy as np @@ -399,7 +399,7 @@ def add_active_domain(self, feature, layers): features_to_shapefile(feature, "polygon", shapefile_path) else: raise ValueError( - f"Feature must be a pathlike (shapefile) or array-like of geometries" + "Feature must be a pathlike (shapefile) or array-like of geometries" ) # make sure shapefile exists @@ -453,7 +453,7 @@ def add_refinement_features(self, features, featuretype, level, layers): features_to_shapefile(features, featuretype, shapefile_path) else: raise ValueError( - f"Features must be a pathlike (shapefile) or array-like of geometries" + "Features must be a pathlike (shapefile) or array-like of geometries" ) # make sure shapefile exists @@ -526,10 +526,9 @@ def build(self, verbose=False): self._mkvertdict() # read and save nodelay array to self - fname = os.path.join(self.model_ws, "qtg.nodesperlay.dat") - f = open(fname, "r") - self.nodelay = read1d(f, self.nodelay) - f.close() + self.nodelay = self.read_qtg_nodesperlay_dat( + model_ws=self.model_ws, nlay=self.nlay + ) # Create a recarray of the grid polygon shapefile shapename = os.path.join(self.model_ws, "qtgrid") @@ -761,25 +760,7 @@ def get_nod_recarray(self): Recarray representation of the node file with zero-based indexing """ - - # nodes, nlay, ivsd, itmuni, lenuni, idsymrd, laycbd - fname = os.path.join(self.model_ws, "qtg.nod") - f = open(fname, "r") - dt = np.dtype( - [ - ("node", int), - ("layer", int), - ("x", float), - ("y", float), - ("z", float), - ("dx", float), - ("dy", float), - ("dz", float), - ] - ) - node_ra = np.genfromtxt(fname, dtype=dt, skip_header=1) - node_ra["layer"] -= 1 - node_ra["node"] -= 1 + node_ra = self.read_qtg_nod(model_ws=self.model_ws, nodes_only=False) return node_ra def get_disu( @@ -824,12 +805,7 @@ def get_disu( """ # nodes, nlay, ivsd, itmuni, lenuni, idsymrd, laycbd - fname = os.path.join(self.model_ws, "qtg.nod") - f = open(fname, "r") - line = f.readline() - ll = line.strip().split() - nodes = int(ll.pop(0)) - f.close() + nodes = self.read_qtg_nod(model_ws=self.model_ws, nodes_only=True) nlay = self.nlay ivsd = 0 idsymrd = 0 @@ -839,20 +815,16 @@ def get_disu( self.nodes = nodes # nodelay - nodelay = np.empty((nlay), dtype=int) - fname = os.path.join(self.model_ws, "qtg.nodesperlay.dat") - f = open(fname, "r") - nodelay = read1d(f, nodelay) - f.close() + nodelay = self.read_qtg_nodesperlay_dat( + model_ws=self.model_ws, nlay=nlay + ) # top top = [0] * nlay for k in range(nlay): - fname = os.path.join(self.model_ws, f"quadtreegrid.top{k + 1}.dat") - f = open(fname, "r") - tpk = np.empty((nodelay[k]), dtype=np.float32) - tpk = read1d(f, tpk) - f.close() + tpk = self.read_quadtreegrid_top_dat( + model_ws=self.model_ws, nodelay=nodelay, lay=k + ) if tpk.min() == tpk.max(): tpk = tpk.min() else: @@ -868,11 +840,9 @@ def get_disu( # bot bot = [0] * nlay for k in range(nlay): - fname = os.path.join(self.model_ws, f"quadtreegrid.bot{k + 1}.dat") - f = open(fname, "r") - btk = np.empty((nodelay[k]), dtype=np.float32) - btk = read1d(f, btk) - f.close() + btk = self.read_quadtreegrid_bot_dat( + model_ws=self.model_ws, nodelay=nodelay, lay=k + ) if btk.min() == btk.max(): btk = btk.min() else: @@ -887,11 +857,7 @@ def get_disu( # area area = [0] * nlay - fname = os.path.join(self.model_ws, "qtg.area.dat") - f = open(fname, "r") - anodes = np.empty((nodes), dtype=np.float32) - anodes = read1d(f, anodes) - f.close() + anodes = self.read_qtg_area_dat(model_ws=self.model_ws, nodes=nodes) istart = 0 for k in range(nlay): istop = istart + nodelay[k] @@ -910,54 +876,33 @@ def get_disu( istart = istop # iac - iac = np.empty((nodes), dtype=int) - fname = os.path.join(self.model_ws, "qtg.iac.dat") - f = open(fname, "r") - iac = read1d(f, iac) - f.close() - + iac = self.read_qtg_iac_dat(model_ws=self.model_ws, nodes=nodes) # Calculate njag and save as nja to self - njag = iac.sum() - self.nja = njag + nja = iac.sum() + self.nja = nja # ja -- this is being read is as one-based, which is also what is # expected by the ModflowDisu constructor - ja = np.empty((njag), dtype=int) - fname = os.path.join(self.model_ws, "qtg.ja.dat") - f = open(fname, "r") - ja = read1d(f, ja) - f.close() + ja = self.read_qtg_ja_dat(model_ws=self.model_ws, nja=nja) # ivc - fldr = np.empty((njag), dtype=int) - fname = os.path.join(self.model_ws, "qtg.fldr.dat") - f = open(fname, "r") - fldr = read1d(f, fldr) + fldr = self.read_qtg_fldr_dat(model_ws=self.model_ws, nja=nja) ivc = np.where(abs(fldr) == 3, 1, 0) - f.close() cl1 = None cl2 = None # cl12 - cl12 = np.empty((njag), dtype=np.float32) - fname = os.path.join(self.model_ws, "qtg.c1.dat") - f = open(fname, "r") - cl12 = read1d(f, cl12) - f.close() + cl12 = self.read_qtg_cl_dat(model_ws=self.model_ws, nja=nja) # fahl - fahl = np.empty((njag), dtype=np.float32) - fname = os.path.join(self.model_ws, "qtg.fahl.dat") - f = open(fname, "r") - fahl = read1d(f, fahl) - f.close() + fahl = self.read_qtg_fahl_dat(model_ws=self.model_ws, nja=nja) # create dis object instance disu = MfUsgDisU( model, nodes=nodes, nlay=nlay, - njag=njag, + njag=nja, ivsd=ivsd, nper=nper, itmuni=itmuni, @@ -981,7 +926,7 @@ def get_disu( steady=steady, ) - # return dis object instance + # return disu object instance return disu def get_nodes(self): @@ -993,12 +938,7 @@ def get_nodes(self): nodes : int """ - fname = os.path.join(self.model_ws, "qtg.nod") - f = open(fname, "r") - line = f.readline() - ll = line.strip().split() - nodes = int(ll.pop(0)) - f.close() + nodes = self.read_qtg_nod(model_ws=self.model_ws, nodes_only=True) return nodes def get_nlay(self): @@ -1024,11 +964,9 @@ def get_nodelay(self): """ nlay = self.get_nlay() - nodelay = np.empty((nlay), dtype=int) - fname = os.path.join(self.model_ws, "qtg.nodesperlay.dat") - f = open(fname, "r") - nodelay = read1d(f, nodelay) - f.close() + nodelay = self.read_qtg_nodesperlay_dat( + model_ws=self.model_ws, nlay=nlay + ) return nodelay def get_top(self): @@ -1048,11 +986,9 @@ def get_top(self): istart = 0 for k in range(nlay): istop = istart + nodelay[k] - fname = os.path.join(self.model_ws, f"quadtreegrid.top{k + 1}.dat") - f = open(fname, "r") - tpk = np.empty((nodelay[k]), dtype=np.float32) - tpk = read1d(f, tpk) - f.close() + tpk = self.read_quadtreegrid_top_dat( + model_ws=self.model_ws, nodelay=nodelay, lay=k + ) top[istart:istop] = tpk istart = istop return top @@ -1074,11 +1010,11 @@ def get_bot(self): istart = 0 for k in range(nlay): istop = istart + nodelay[k] - fname = os.path.join(self.model_ws, f"quadtreegrid.bot{k + 1}.dat") - f = open(fname, "r") - btk = np.empty((nodelay[k]), dtype=np.float32) - btk = read1d(f, btk) - f.close() + btk = self.read_quadtreegrid_bot_dat( + model_ws=self.model_ws, + nodelay=nodelay, + lay=k, + ) bot[istart:istop] = btk istart = istop return bot @@ -1094,11 +1030,7 @@ def get_area(self): """ nodes = self.get_nodes() - fname = os.path.join(self.model_ws, "qtg.area.dat") - f = open(fname, "r") - area = np.empty((nodes), dtype=np.float32) - area = read1d(f, area) - f.close() + area = self.read_qtg_area_dat(model_ws=self.model_ws, nodes=nodes) return area def get_iac(self): @@ -1112,11 +1044,7 @@ def get_iac(self): """ nodes = self.get_nodes() - iac = np.empty((nodes), dtype=int) - fname = os.path.join(self.model_ws, "qtg.iac.dat") - f = open(fname, "r") - iac = read1d(f, iac) - f.close() + iac = self.read_qtg_iac_dat(model_ws=self.model_ws, nodes=nodes) return iac def get_ja(self, nja=None): @@ -1138,12 +1066,7 @@ def get_ja(self, nja=None): if nja is None: iac = self.get_iac() nja = iac.sum() - ja = np.empty((nja), dtype=int) - fname = os.path.join(self.model_ws, "qtg.ja.dat") - f = open(fname, "r") - ja = read1d(f, ja) - ja -= 1 - f.close() + ja = self.read_qtg_ja_dat(model_ws=self.model_ws, nja=nja) return ja def get_fldr(self): @@ -1159,12 +1082,8 @@ def get_fldr(self): """ iac = self.get_iac() - njag = iac.sum() - fldr = np.empty((njag), dtype=int) - fname = os.path.join(self.model_ws, "qtg.fldr.dat") - f = open(fname, "r") - fldr = read1d(f, fldr) - f.close() + nja = iac.sum() + fldr = self.read_qtg_fldr_dat(model_ws=self.model_ws, nja=nja) return fldr def get_ivc(self, fldr=None): @@ -1186,9 +1105,7 @@ def get_ivc(self, fldr=None): """ if fldr is None: fldr = self.get_fldr() - ivc = np.zeros(fldr.shape, dtype=int) - idx = abs(fldr) == 3 - ivc[idx] = 1 + ivc = np.where(abs(fldr) == 3, 1, 0) return ivc def get_ihc(self, nodelay=None, ia=None, fldr=None): @@ -1197,6 +1114,12 @@ def get_ihc(self, nodelay=None, ia=None, fldr=None): Parameters ---------- + nodelay : ndarray + Number of nodes in each layer. If None, then it is read from + gridgen output. + ia : ndarray + Starting location of a row in the matrix. If None, + then it is read from gridgen output. fldr : ndarray Flow direction indicator array. If None, then it is read from gridgen output. @@ -1249,12 +1172,8 @@ def get_cl12(self): """ iac = self.get_iac() - njag = iac.sum() - cl12 = np.empty((njag), dtype=np.float32) - fname = os.path.join(self.model_ws, "qtg.c1.dat") - f = open(fname, "r") - cl12 = read1d(f, cl12) - f.close() + nja = iac.sum() + cl12 = self.read_qtg_cl_dat(model_ws=self.model_ws, nja=nja) return cl12 def get_fahl(self): @@ -1270,12 +1189,9 @@ def get_fahl(self): """ iac = self.get_iac() - njag = iac.sum() - fahl = np.empty((njag), dtype=np.float32) - fname = os.path.join(self.model_ws, "qtg.fahl.dat") - f = open(fname, "r") - fahl = read1d(f, fahl) - f.close() + nja = iac.sum() + fahl = self.read_qtg_fahl_dat(model_ws=self.model_ws, nja=nja) + return fahl def get_hwva(self, ja=None, ihc=None, fahl=None, top=None, bot=None): @@ -1443,8 +1359,8 @@ def get_gridprops_disu5(self): nodes = self.get_nodes() nlay = self.get_nlay() iac = self.get_iac() - njag = iac.sum() - ja = self.get_ja(njag) + nja = iac.sum() + ja = self.get_ja(nja) nodelay = self.get_nodelay() top = self.get_top() top = self.gridarray_to_flopyusg_gridarray(nodelay, top) @@ -1459,7 +1375,7 @@ def get_gridprops_disu5(self): gridprops["nodes"] = nodes gridprops["nlay"] = nlay - gridprops["njag"] = njag + gridprops["njag"] = nja gridprops["ivsd"] = 0 gridprops["idsymrd"] = 0 gridprops["iac"] = iac @@ -1515,12 +1431,12 @@ def get_gridprops_disu6(self, repair_asymmetry=True): iac = self.get_iac() gridprops["iac"] = iac - # Calculate njag and save as nja to self - njag = iac.sum() - gridprops["nja"] = njag + # Calculate nja and save as nja to self + nja = iac.sum() + gridprops["nja"] = nja # ja - ja = self.get_ja(njag) + ja = self.get_ja(nja) gridprops["ja"] = ja # cl12 @@ -1962,27 +1878,12 @@ def _mkvertdict(self): None """ - shapefile = import_optional_dependency("shapefile") - # ensure there are active leaf cells from gridgen - fname = os.path.join(self.model_ws, "qtg.nod") - if not os.path.isfile(fname): - raise Exception( - f"File {fname} should have been created by gridgen." - ) - f = open(fname, "r") - line = f.readline() - ll = line.strip().split() - nodes = int(ll[0]) + nodes = self.read_qtg_nod(model_ws=self.model_ws, nodes_only=True) if nodes == 0: raise Exception("Gridgen resulted in no active cells.") - # ensure shape file was created by gridgen - fname = os.path.join(self.model_ws, "qtgrid.shp") - assert os.path.isfile(fname), "gridgen shape file does not exist" - - # read vertices from shapefile - sf = shapefile.Reader(fname) + sf = self.read_qtgrid_shp(model_ws=self.model_ws) shapes = sf.shapes() fields = sf.fields attributes = [l[0] for l in fields[1:]] @@ -1992,3 +1893,248 @@ def _mkvertdict(self): nodenumber = int(records[i][idx]) - 1 self._vertdict[nodenumber] = shapes[i].points return + + @staticmethod + def read_qtg_nod( + model_ws: Union[str, os.PathLike], nodes_only: bool = False + ): + """Read qtg.nod file + + Parameters + ---------- + model_ws : Union[str, os.PathLike] + Directory where file is stored + nodes_only : bool, optional + Read only the number of nodes from file, by default False which + reads the entire file + + Returns + ------- + int or numpy recarray + + """ + + fname = os.path.join(model_ws, "qtg.nod") + + with open(fname, "r") as f: + if nodes_only: + line = f.readline() + ll = line.strip().split() + nodes = int(ll[0]) + else: + dt = np.dtype( + [ + ("node", int), + ("layer", int), + ("x", float), + ("y", float), + ("z", float), + ("dx", float), + ("dy", float), + ("dz", float), + ] + ) + nodes = np.genfromtxt(fname, dtype=dt, skip_header=1) + nodes["layer"] -= 1 + nodes["node"] -= 1 + return nodes + + @staticmethod + def read_qtgrid_shp(model_ws: Union[str, os.PathLike]): + """Read qtgrid.shp file + + Parameters + ---------- + model_ws : Union[str, os.PathLike] + Directory where file is stored + + Returns + ------- + shapefile + """ + shapefile = import_optional_dependency("shapefile") + + # ensure shape file was created by gridgen + fname = os.path.join(model_ws, "qtgrid.shp") + # read vertices from shapefile + return shapefile.Reader(fname) + + @staticmethod + def read_qtg_nodesperlay_dat(model_ws: Union[str, os.PathLike], nlay: int): + """Read qtgrid.shp file + + Parameters + ---------- + model_ws : Union[str, os.PathLike] + Directory where file is stored + nlay : int + Number of layers + + Returns + ------- + np.ndarray + """ + fname = os.path.join(model_ws, "qtg.nodesperlay.dat") + with open(fname, "r") as f: + return read1d(f=f, a=np.empty((nlay), dtype=int)) + + @staticmethod + def read_quadtreegrid_top_dat( + model_ws: Union[str, os.PathLike], nodelay: List[int], lay: int + ): + """Read quadtreegrid.top_.dat file + + Parameters + ---------- + model_ws : Union[str, os.PathLike] + Directory where file is stored + nodelay : list[int] + Number of nodes in each layer + lay : int + Layer + + Returns + ------- + np.ndarray + """ + fname = os.path.join(model_ws, f"quadtreegrid.top{lay + 1}.dat") + with open(fname, "r") as f: + return read1d(f=f, a=np.empty((nodelay[lay]), dtype=np.float32)) + + @staticmethod + def read_quadtreegrid_bot_dat( + model_ws: Union[str, os.PathLike], nodelay: List[int], lay: int + ): + """Read quadtreegrid.bot_.dat file + + Parameters + ---------- + model_ws : Union[str, os.PathLike] + Directory where file is stored + nodelay : list[int] + Number of nodes in each layer + lay : int + Layer + + Returns + ------- + np.ndarray + """ + fname = os.path.join(model_ws, f"quadtreegrid.bot{lay + 1}.dat") + with open(fname, "r") as f: + return read1d(f=f, a=np.empty((nodelay[lay]), dtype=np.float32)) + + @staticmethod + def read_qtg_area_dat(model_ws: Union[str, os.PathLike], nodes: int): + """Read qtg.area.dat file + + Parameters + ---------- + model_ws : Union[str, os.PathLike] + Directory where file is stored + nodes : int + Number of nodes + + Returns + ------- + np.ndarray + """ + fname = os.path.join(model_ws, "qtg.area.dat") + with open(fname, "r") as f: + return read1d(f=f, a=np.empty((nodes), dtype=np.float32)) + + @staticmethod + def read_qtg_iac_dat(model_ws: Union[str, os.PathLike], nodes: int): + """Read qtg.iac.dat file + + Parameters + ---------- + model_ws : Union[str, os.PathLike] + Directory where file is stored + nodes : int + Number of nodes + + Returns + ------- + np.ndarray + """ + fname = os.path.join(model_ws, "qtg.iac.dat") + with open(fname, "r") as f: + return read1d(f=f, a=np.empty((nodes), dtype=int)) + + @staticmethod + def read_qtg_ja_dat(model_ws: Union[str, os.PathLike], nja: int): + """Read qtg.ja.dat file + + Parameters + ---------- + model_ws : Union[str, os.PathLike] + Directory where file is stored + nja : int + Number of connections + + Returns + ------- + np.ndarray + """ + fname = os.path.join(model_ws, "qtg.ja.dat") + with open(fname, "r") as f: + ja = read1d(f=f, a=np.empty((nja), dtype=int)) - 1 + return ja + + @staticmethod + def read_qtg_fldr_dat(model_ws: Union[str, os.PathLike], nja: int): + """Read qtg.fldr.dat file + + Parameters + ---------- + model_ws : Union[str, os.PathLike] + Directory where file is stored + nja : int + Number of connections + + Returns + ------- + np.ndarray + """ + fname = os.path.join(model_ws, "qtg.fldr.dat") + with open(fname, "r") as f: + return read1d(f=f, a=np.empty((nja), dtype=int)) + + @staticmethod + def read_qtg_cl_dat(model_ws: Union[str, os.PathLike], nja: int): + """Read qtg.c1.dat file + + Parameters + ---------- + model_ws : Union[str, os.PathLike] + Directory where file is stored + nja : int + Number of connections + + Returns + ------- + np.ndarray + """ + fname = os.path.join(model_ws, "qtg.c1.dat") + with open(fname, "r") as f: + return read1d(f=f, a=np.empty((nja), dtype=np.float32)) + + @staticmethod + def read_qtg_fahl_dat(model_ws: Union[str, os.PathLike], nja: int): + """Read qtg.fahl.dat file + + Parameters + ---------- + model_ws : Union[str, os.PathLike] + Directory where file is stored + nja : int + Number of connections + + Returns + ------- + np.ndarray + """ + fname = os.path.join(model_ws, "qtg.fahl.dat") + with open(fname, "r") as f: + return read1d(f=f, a=np.empty((nja), dtype=np.float32)) From 97da3961f531b26001e8cf55db0de45fc41befad Mon Sep 17 00:00:00 2001 From: scottrp <45947939+scottrp@users.noreply.github.com> Date: Wed, 17 Jan 2024 08:45:37 -0800 Subject: [PATCH 23/47] fix(data storage): added numpy type check for consistent integer and float sizes (32-bit vs 64-bit) (#2062) * fix(data storage): added numpy type check for consistent integer and float sizes * fix(numpy type check) --- flopy/mf6/data/mfdatastorage.py | 10 ++++++++++ 1 file changed, 10 insertions(+) diff --git a/flopy/mf6/data/mfdatastorage.py b/flopy/mf6/data/mfdatastorage.py index 8fef1c2b7e..eaf916d4ab 100644 --- a/flopy/mf6/data/mfdatastorage.py +++ b/flopy/mf6/data/mfdatastorage.py @@ -1407,6 +1407,16 @@ def store_internal( message, self._simulation_data.debug, ) + data_type = self.data_dimensions.structure.get_datum_type(True) + dt = self.layer_storage[layer].internal_data.dtype + if dt != data_type: + self.layer_storage[ + layer + ].internal_data = self.layer_storage[ + layer + ].internal_data.astype( + data_type + ) if not preserve_record: self.layer_storage[layer].factor = multiplier self.layer_storage[layer].iprn = print_format From 9318d62fd2283c688403b411d840fe3e7e23e160 Mon Sep 17 00:00:00 2001 From: wpbonelli Date: Mon, 22 Jan 2024 13:08:32 -0500 Subject: [PATCH 24/47] docs(rtd): various cleanup (#2066) * fix tab title to FloPy -- FloPy documentation * remove link to empty/broken search page from main.rst * update version in main.rst to 6.5.0.dev0 * update copyright year in conf.py to 2024 --- .docs/conf.py | 4 ++-- .docs/main.rst | 6 ++++-- 2 files changed, 6 insertions(+), 4 deletions(-) diff --git a/.docs/conf.py b/.docs/conf.py index 0113ff54c1..a88ef3b9ab 100644 --- a/.docs/conf.py +++ b/.docs/conf.py @@ -105,8 +105,8 @@ os.system(" ".join(cmd)) # -- Project information ----------------------------------------------------- -project = "FloPy Documentation" -copyright = f"2022, {__author__}" +project = "FloPy" +copyright = f"2024, {__author__}" author = __author__ # The version. diff --git a/.docs/main.rst b/.docs/main.rst index 8b4fb30a27..8dc3de0b0e 100644 --- a/.docs/main.rst +++ b/.docs/main.rst @@ -3,9 +3,12 @@ You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. +FloPy +===== + .. image:: _images/flopylogo.png -**Documentation for version 3.5.0.dev0** +**Documentation for version 3.6.0.dev0** Documentation is generated with Sphinx from the `FloPy repository `_. @@ -29,4 +32,3 @@ Indices and tables * :ref:`genindex` * :ref:`modindex` -* :ref:`search` From a017b77493482124c2f9a635bad19a0c0dfed8c9 Mon Sep 17 00:00:00 2001 From: scottrp <45947939+scottrp@users.noreply.github.com> Date: Mon, 22 Jan 2024 13:17:15 -0800 Subject: [PATCH 25/47] fix(obs package loading): fixed problem with loading multiple continuous blocks (#2058) (#2064) --- autotest/regression/test_mf6.py | 13 +++++++++++++ .../data/mf6/test005_advgw_tidal/AdvGW_tidal.obs | 5 +++++ flopy/mf6/data/mffileaccess.py | 2 +- 3 files changed, 19 insertions(+), 1 deletion(-) diff --git a/autotest/regression/test_mf6.py b/autotest/regression/test_mf6.py index 9cc7db1878..b5e5b28e07 100644 --- a/autotest/regression/test_mf6.py +++ b/autotest/regression/test_mf6.py @@ -3783,6 +3783,19 @@ def test005_advgw_tidal(function_tmpdir, example_data_path): names = ghb.ts.time_series_namerecord.get_data() assert names[0][0] == "tides" + # test obs blocks + obs_pkg = model.get_package("obs-1") + cont_mfl = obs_pkg.continuous + cont_data = cont_mfl.get_data() + assert len(cont_data) == 2 + assert "head_hydrographs.csv" in cont_data + assert "gwf-advtidal.obs.flow.csv" in cont_data + flow = cont_data["gwf-advtidal.obs.flow.csv"] + assert flow[0][0] == "icf1" + assert flow[0][1] == "flow-ja-face" + assert flow[0][2] == (2, 4, 6) + assert flow[0][3] == (2, 4, 7) + # add a stress period beyond nper spd = ghb.stress_period_data.get_data() spd[20] = copy.deepcopy(spd[0]) diff --git a/examples/data/mf6/test005_advgw_tidal/AdvGW_tidal.obs b/examples/data/mf6/test005_advgw_tidal/AdvGW_tidal.obs index 1e674f415b..12a240e935 100644 --- a/examples/data/mf6/test005_advgw_tidal/AdvGW_tidal.obs +++ b/examples/data/mf6/test005_advgw_tidal/AdvGW_tidal.obs @@ -7,3 +7,8 @@ BEGIN CONTINUOUS FILEOUT head_hydrographs.csv open/close AdvGW_tidal.head.cont.opncls END CONTINUOUS FILEOUT head_hydrographs.csv +BEGIN continuous FILEOUT gwf-advtidal.obs.flow.csv + icf1 flow-ja-face 3 5 7 3 5 8 +END continuous FILEOUT gwf-advtidal.obs.flow.csv + + diff --git a/flopy/mf6/data/mffileaccess.py b/flopy/mf6/data/mffileaccess.py index 0e109e75bb..e1ab9bbb05 100644 --- a/flopy/mf6/data/mffileaccess.py +++ b/flopy/mf6/data/mffileaccess.py @@ -1356,7 +1356,7 @@ def read_list_data_from_file( if store_internal: # store as rec array storage.store_internal( - data_loaded, None, False, current_key + data_loaded, None, False, key=current_key ) storage.data_dimensions.unlock() return [False, line, data_line] From 56482fc6d6bebc7c634873272b8308461d77ef40 Mon Sep 17 00:00:00 2001 From: wpbonelli Date: Tue, 23 Jan 2024 21:20:09 -0500 Subject: [PATCH 26/47] docs: fix pdf build (cell fmt in mf_error_tutorial01.py) (#2069) --- .docs/Notebooks/mf_error_tutorial01.py | 15 ++------------- 1 file changed, 2 insertions(+), 13 deletions(-) diff --git a/.docs/Notebooks/mf_error_tutorial01.py b/.docs/Notebooks/mf_error_tutorial01.py index 63365aac52..94851c8786 100644 --- a/.docs/Notebooks/mf_error_tutorial01.py +++ b/.docs/Notebooks/mf_error_tutorial01.py @@ -21,13 +21,7 @@ import sys from tempfile import TemporaryDirectory -# run installed version of flopy or add local path -try: - import flopy -except: - fpth = os.path.abspath(os.path.join("..", "..")) - sys.path.append(fpth) - import flopy +import flopy print(sys.version) print(f"flopy version: {flopy.__version__}") @@ -83,22 +77,17 @@ m.check(f=os.path.join(workspace, "checksummary.csv")) -# + -summary_pth = os.path.join(workspace, "checksummary.csv") - try: import pandas as pd - + summary_pth = os.path.join(workspace, "checksummary.csv") df = pd.read_csv(summary_pth) except: df = open(summary_pth).readlines() df -# - # #### checking on `write_input()` # checking is also performed by default when `write_input()` is called at the package or model level. Checking on write is performed with the same `verbose` setting as specified for the model. However, if errors or warnings are encountered and `level=1` (default) or higher, a screen message notifies the user of the errors. # # By default, the checks performed on `load()` and `write_input()` save results to a summary file, which is named after the packge or the model. -# + pycharm={"name": "#%%\n"} m.write_input() From 40512442a6340991fe5ce75866cb20ee67ca4073 Mon Sep 17 00:00:00 2001 From: wpbonelli Date: Wed, 24 Jan 2024 11:43:48 -0500 Subject: [PATCH 27/47] docs(rtd): pin nbconvert < 7.14 (#2070) * workaround nbconvert / nbsphinx error affecting pdf build --- autotest/test_notebooks.py | 1 - pyproject.toml | 1 + 2 files changed, 1 insertion(+), 1 deletion(-) diff --git a/autotest/test_notebooks.py b/autotest/test_notebooks.py index 17967c9280..68e24b65cb 100644 --- a/autotest/test_notebooks.py +++ b/autotest/test_notebooks.py @@ -1,5 +1,4 @@ import re -from pathlib import Path from pprint import pprint import pytest diff --git a/pyproject.toml b/pyproject.toml index bb5ebb487b..f232d0fa6c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -83,6 +83,7 @@ doc = [ "ipython[kernel]", "jupytext", "myst-parser", + "nbconvert <7.14.0", "nbsphinx", "PyYAML", "rtds-action", From ea73e0d2f52cf22511c211ea4f5dd5b0a96be69b Mon Sep 17 00:00:00 2001 From: wpbonelli Date: Thu, 25 Jan 2024 16:05:58 -0500 Subject: [PATCH 28/47] fix(particledata): support 1D numpy array for partlocs (#2074) --- autotest/test_particledata.py | 70 ++++++++++++++++++++++++++++++++ flopy/modpath/mp7particledata.py | 9 +++- 2 files changed, 77 insertions(+), 2 deletions(-) diff --git a/autotest/test_particledata.py b/autotest/test_particledata.py index 48c8d28dd0..fa9b2c5fd9 100644 --- a/autotest/test_particledata.py +++ b/autotest/test_particledata.py @@ -59,6 +59,16 @@ def flatten(a): ("drape", " Date: Thu, 25 Jan 2024 16:58:10 -0500 Subject: [PATCH 29/47] refactor(pyproject.toml): add dev dependency group (#2075) --- DEVELOPER.md | 8 ++++---- pyproject.toml | 1 + 2 files changed, 5 insertions(+), 4 deletions(-) diff --git a/DEVELOPER.md b/DEVELOPER.md index 195f4a9d30..1461f93c47 100644 --- a/DEVELOPER.md +++ b/DEVELOPER.md @@ -63,9 +63,9 @@ Then install `flopy` and core dependencies from the project root: pip install . -The `flopy` package has a number of [optional dependencies](.docs/optional_dependencies.md), as well as extra dependencies required for linting, testing, and building documentation. Extra dependencies are listed in the `test`, `lint`, `optional`, and `doc` groups under the `[project.optional-dependencies]` section in `pyproject.toml`. Core, linting, testing and optional dependencies are included in the Conda environment in `etc/environment.yml`. Only core dependencies are included in the PyPI package — to install extra dependency groups with pip, use `pip install ".[]"`. For instance, to install all extra dependency groups: +The `flopy` package has a number of [optional dependencies](.docs/optional_dependencies.md), as well as extra dependencies required for linting, testing, and building documentation. Extra dependencies are listed in the `test`, `lint`, `optional`, and `doc` groups under the `[project.optional-dependencies]` section in `pyproject.toml`. Core, linting, testing and optional dependencies are included in the Conda environment in `etc/environment.yml`. Only core dependencies are included in the PyPI package — to install extra dependency groups with pip, use `pip install ".[]"`. For instance, to install all development dependencies: - pip install ".[test, lint, optional, doc]" + pip install ".[dev]" Alternatively, with Anaconda or Miniconda: @@ -169,10 +169,10 @@ jupytext --from py --to ipynb path/to/notebook Notebook scripts can be run like any other Python script. To run `.ipynb` notebooks, you will need `jupyter` installed (`jupyter` is included with the `test` optional dependency group in `pyproject.toml`). Some of the notebooks use [optional dependencies](.docs/optional_dependencies.md) as well. -To install jupyter and optional dependencies at once: +To install all development dependencies at once, including jupyter and all optional packages: ```shell -pip install ".[test, optional]" +pip install ".[dev]" ``` To start a local Jupyter notebook server, run: diff --git a/pyproject.toml b/pyproject.toml index f232d0fa6c..a7304055fb 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -36,6 +36,7 @@ dependencies = [ dynamic = ["version", "readme"] [project.optional-dependencies] +dev = ["flopy[lint,test,optional,doc]"] lint = [ "black", "cffconvert", From 1ab25fe1cd9b55a5128eaade60bd09122f82d096 Mon Sep 17 00:00:00 2001 From: Joshua Larsen Date: Fri, 26 Jan 2024 08:34:17 -0800 Subject: [PATCH 30/47] fix(tri2vor): remove invalid geometries from voronoi nodes (#2076) * fix(tri2vor): remove invalid geometries from voronoi nodes * remove zero length, one vertex (point), and two vertex (line) geometries from list of nodes * linting --- flopy/utils/voronoi.py | 134 ++++++++++++++++++++++------------------- 1 file changed, 71 insertions(+), 63 deletions(-) diff --git a/flopy/utils/voronoi.py b/flopy/utils/voronoi.py index 6756e98162..a3adfe0c6e 100644 --- a/flopy/utils/voronoi.py +++ b/flopy/utils/voronoi.py @@ -171,72 +171,81 @@ def tri2vor(tri, **kwargs): # step 1 -- go through voronoi ridge vertices # and add valid vertices to vor_verts and to the # vor_iverts incidence list - if True: - for ips, irvs in zip(ridge_points, ridge_vertices): - ip0, ip1 = ips - irv0, irv1 = irvs - if irv0 >= 0: - point_in_domain = vor_vert_indomain[irv0] - if point_in_domain: - ivert = idx_vertindex[irv0] - if ivert not in vor_iverts[ip0]: - vor_iverts[ip0].append(ivert) - if ivert not in vor_iverts[ip1]: - vor_iverts[ip1].append(ivert) - if irv1 >= 0: - point_in_domain = vor_vert_indomain[irv1] - if point_in_domain: - ivert = idx_vertindex[irv1] - if ivert not in vor_iverts[ip0]: - vor_iverts[ip0].append(ivert) - if ivert not in vor_iverts[ip1]: - vor_iverts[ip1].append(ivert) + for ips, irvs in zip(ridge_points, ridge_vertices): + ip0, ip1 = ips + irv0, irv1 = irvs + if irv0 >= 0: + point_in_domain = vor_vert_indomain[irv0] + if point_in_domain: + ivert = idx_vertindex[irv0] + if ivert not in vor_iverts[ip0]: + vor_iverts[ip0].append(ivert) + if ivert not in vor_iverts[ip1]: + vor_iverts[ip1].append(ivert) + if irv1 >= 0: + point_in_domain = vor_vert_indomain[irv1] + if point_in_domain: + ivert = idx_vertindex[irv1] + if ivert not in vor_iverts[ip0]: + vor_iverts[ip0].append(ivert) + if ivert not in vor_iverts[ip1]: + vor_iverts[ip1].append(ivert) # step 2 -- along the edge, add points - if True: - # Count number of boundary markers that correspond to the outer - # polygon domain or to holes. These segments will be used to add - # new vertices for edge cells. - nexterior_boundary_markers = len(tri._polygons[0]) - for ihole in range(nholes): - polygon = tri._polygons[ihole + 1] - nexterior_boundary_markers += len(polygon) - idx = (tri_edge["boundary_marker"] > 0) & ( - tri_edge["boundary_marker"] <= nexterior_boundary_markers - ) - inewvert = len(vor_verts) - for _, ip0, ip1, _ in tri_edge[idx]: - midpoint = tri_verts[[ip0, ip1]].mean(axis=0) - px, py = midpoint - vor_verts.append((px, py)) - - # add midpoint to each voronoi cell - vor_iverts[ip0].append(inewvert) - vor_iverts[ip1].append(inewvert) - inewvert += 1 - - # add ip0 triangle vertex to voronoi cell - px, py = tri_verts[ip0] - vor_verts.append((px, py)) - vor_iverts[ip0].append(inewvert) - inewvert += 1 - - # add ip1 triangle vertex to voronoi cell - px, py = tri_verts[ip1] - vor_verts.append((px, py)) - vor_iverts[ip1].append(inewvert) - inewvert += 1 + # Count number of boundary markers that correspond to the outer + # polygon domain or to holes. These segments will be used to add + # new vertices for edge cells. + nexterior_boundary_markers = len(tri._polygons[0]) + for ihole in range(nholes): + polygon = tri._polygons[ihole + 1] + nexterior_boundary_markers += len(polygon) + idx = (tri_edge["boundary_marker"] > 0) & ( + tri_edge["boundary_marker"] <= nexterior_boundary_markers + ) + inewvert = len(vor_verts) + for _, ip0, ip1, _ in tri_edge[idx]: + midpoint = tri_verts[[ip0, ip1]].mean(axis=0) + px, py = midpoint + vor_verts.append((px, py)) + + # add midpoint to each voronoi cell + vor_iverts[ip0].append(inewvert) + vor_iverts[ip1].append(inewvert) + inewvert += 1 + + # add ip0 triangle vertex to voronoi cell + px, py = tri_verts[ip0] + vor_verts.append((px, py)) + vor_iverts[ip0].append(inewvert) + inewvert += 1 + + # add ip1 triangle vertex to voronoi cell + px, py = tri_verts[ip1] + vor_verts.append((px, py)) + vor_iverts[ip1].append(inewvert) + inewvert += 1 # Last step -- sort vertices in correct order - if True: - vor_verts = np.array(vor_verts) - for icell in range(len(vor_iverts)): - iverts_cell = vor_iverts[icell] - vor_iverts[icell] = list( - get_sorted_vertices(iverts_cell, vor_verts) - ) + vor_verts = np.array(vor_verts) + for icell in range(len(vor_iverts)): + iverts_cell = vor_iverts[icell] + vor_iverts[icell] = list(get_sorted_vertices(iverts_cell, vor_verts)) + + # remove empty polygons/iverts, point, and line freatures + # and their associated xy centers + points = list(tri.verts) + pop_list = [] + for icell, ivlist in enumerate(vor_iverts): + if len(ivlist) < 3: + pop_list.append(icell) + + for icell in pop_list[::-1]: + vor_iverts.pop(icell) + points.pop(icell) + + points = np.array(points) - return vor_verts, vor_iverts + return vor_verts, vor_iverts, points class VoronoiGrid: @@ -270,8 +279,7 @@ def __init__(self, tri, **kwargs): from .triangle import Triangle if isinstance(tri, Triangle): - points = tri.verts - verts, iverts = tri2vor(tri, **kwargs) + verts, iverts, points = tri2vor(tri, **kwargs) else: raise TypeError( "The tri argument must be of type flopy.utils.Triangle" From f8eac0feafd981d84367128a0fdf8e7e1789fa9b Mon Sep 17 00:00:00 2001 From: Joshua Larsen Date: Fri, 26 Jan 2024 08:35:25 -0800 Subject: [PATCH 31/47] update(GeoSpatialCollection): add support for GeoDataFrame objects (#2063) * update(GeoSpatialCollection): add support for geopandas GeoDataFrame objects * update test_geospatial_util.py to include GeoDataFrame tests * add geopandas as optional dependency * linting * * Added geo_dataframe property to grid objects * Added convert_grid method to grid objects * linting * add ignore_holes flag to add_polygon --- autotest/test_geospatial_util.py | 14 +++-- autotest/test_grid.py | 68 +++++++++++++++++++++++- autotest/test_grid_cases.py | 36 +++++++------ flopy/discretization/grid.py | 35 ++++++++++++ flopy/discretization/structuredgrid.py | 38 +++++++++++++ flopy/discretization/unstructuredgrid.py | 43 +++++++++++++++ flopy/discretization/vertexgrid.py | 43 +++++++++++++++ flopy/utils/geospatial_utils.py | 30 +++++++++++ flopy/utils/triangle.py | 12 +++-- pyproject.toml | 1 + 10 files changed, 294 insertions(+), 26 deletions(-) diff --git a/autotest/test_geospatial_util.py b/autotest/test_geospatial_util.py index 3ac9f42a9a..2d0508c1ed 100644 --- a/autotest/test_geospatial_util.py +++ b/autotest/test_geospatial_util.py @@ -360,7 +360,7 @@ def test_multilinestring(multilinestring): assert gi1 == gi2, "GeoSpatialUtil multilinestring conversion error" -@requires_pkg("shapely", "geojson") +@requires_pkg("shapely", "geojson", "geopandas") def test_polygon_collection(polygon, poly_w_hole, multipolygon): col = [ Shape.from_geojson(polygon), @@ -377,8 +377,9 @@ def test_polygon_collection(polygon, poly_w_hole, multipolygon): points = gc1.points geojson = gc1.geojson fp_geo = gc1.flopy_geometry + gdf = gc1.geo_dataframe - collections = [shp, shply, points, geojson, fp_geo] + collections = [shp, shply, points, geojson, fp_geo, gdf] for col in collections: gc2 = GeoSpatialCollection(col, shapetype) @@ -410,8 +411,9 @@ def test_point_collection(point, multipoint): points = gc1.points geojson = gc1.geojson fp_geo = gc1.flopy_geometry + gdf = gc1.geo_dataframe - collections = [shp, shply, points, geojson, fp_geo] + collections = [shp, shply, points, geojson, fp_geo, gdf] for col in collections: gc2 = GeoSpatialCollection(col, shapetype) gi2 = [i.flopy_geometry.__geo_interface__ for i in gc2] @@ -439,8 +441,9 @@ def test_linestring_collection(linestring, multilinestring): points = gc1.points geojson = gc1.geojson fp_geo = gc1.flopy_geometry + gdf = gc1.geo_dataframe - collections = [shp, shply, points, geojson, fp_geo] + collections = [shp, shply, points, geojson, fp_geo, gdf] for col in collections: gc2 = GeoSpatialCollection(col, shapetype) gi2 = [i.flopy_geometry.__geo_interface__ for i in gc2] @@ -485,8 +488,9 @@ def test_mixed_collection( points = gc1.points geojson = gc1.geojson fp_geo = gc1.flopy_geometry + gdf = gc1.geo_dataframe - collections = [shp, shply, lshply, points, geojson, fp_geo] + collections = [shp, shply, lshply, points, geojson, fp_geo, gdf] for col in collections: gc2 = GeoSpatialCollection(col, shapetype) diff --git a/autotest/test_grid.py b/autotest/test_grid.py index 214018777e..523441514f 100644 --- a/autotest/test_grid.py +++ b/autotest/test_grid.py @@ -4,6 +4,7 @@ from contextlib import nullcontext from warnings import warn +import geopandas import matplotlib import numpy as np import pytest @@ -1233,13 +1234,13 @@ def test_vertex_neighbors(vertex_grid): def test_unstructured_neighbors(unstructured_grid): rook_neighbors = unstructured_grid.neighbors(5) - assert np.allclose(rook_neighbors, [0, 10, 1, 2, 3, 7, 12]) + assert np.allclose(rook_neighbors, [0, 10, 1, 6, 11, 2, 7, 12]) queen_neighbors = unstructured_grid.neighbors( 5, method="queen", reset=True ) assert np.allclose( - queen_neighbors, [0, 10, 1, 6, 11, 2, 3, 4, 7, 8, 12, 13] + queen_neighbors, [0, 10, 1, 6, 11, 2, 3, 7, 8, 12, 13] ) @@ -1300,3 +1301,66 @@ def test_get_lni_unstructured(grid): ) ) assert csum[layer] + i == nn + + +def test_structured_convert(structured_grid): + factor = 3 + new_grid = structured_grid.convert_grid(factor=factor) + + xf = np.sum(new_grid.xvertices) / np.sum(structured_grid.xvertices) + yf = np.sum(new_grid.yvertices) / np.sum(structured_grid.yvertices) + zf = np.sum(new_grid.zvertices) / np.sum(structured_grid.zvertices) + if xf != factor or yf != factor or zf != factor: + raise AssertionError( + "structured grid conversion is not returning proper vertices" + ) + + +def test_vertex_convert(vertex_grid): + factor = 3 + new_grid = vertex_grid.convert_grid(factor=factor) + + xf = np.sum(new_grid.xvertices) / np.sum(vertex_grid.xvertices) + yf = np.sum(new_grid.yvertices) / np.sum(vertex_grid.yvertices) + zf = np.sum(new_grid.zvertices) / np.sum(vertex_grid.zvertices) + if xf != factor or yf != factor or zf != factor: + raise AssertionError( + "structured grid conversion is not returning proper vertices" + ) + + +def test_unstructured_convert(unstructured_grid): + factor = 3 + new_grid = unstructured_grid.convert_grid(factor=factor) + + xf = np.sum(new_grid.xvertices) / np.sum(unstructured_grid.xvertices) + yf = np.sum(new_grid.yvertices) / np.sum(unstructured_grid.yvertices) + zf = np.sum(new_grid.zvertices) / np.sum(unstructured_grid.zvertices) + if xf != factor or yf != factor or zf != factor: + raise AssertionError( + "structured grid conversion is not returning proper vertices" + ) + + +@requires_pkg("geopandas") +def test_geo_dataframe(structured_grid, vertex_grid, unstructured_grid): + grids = ( + structured_grid, + vertex_grid, + unstructured_grid + ) + + for grid in grids: + gdf = grid.geo_dataframe + if not isinstance(gdf, geopandas.GeoDataFrame): + raise TypeError("geo_dataframe not returning GeoDataFrame object") + + geoms = gdf.geometry.values + for node, geom in enumerate(geoms): + coords = geom.exterior.coords + cv = grid.get_cell_vertices(node) + for coord in coords: + if coord not in cv: + raise AssertionError( + f"Cell vertices incorrect for node={node}" + ) diff --git a/autotest/test_grid_cases.py b/autotest/test_grid_cases.py index 2721754726..1db81a37e4 100644 --- a/autotest/test_grid_cases.py +++ b/autotest/test_grid_cases.py @@ -11,6 +11,7 @@ def structured_small(self): delc = 1.0 * np.ones(nrow, dtype=float) delr = 1.0 * np.ones(ncol, dtype=float) top = 10.0 * np.ones((nrow, ncol), dtype=float) + idomain = np.ones((nlay, nrow, ncol), dtype=int) botm = np.zeros((nlay, nrow, ncol), dtype=float) botm[0, :, :] = 5.0 botm[1, :, :] = 0.0 @@ -23,6 +24,7 @@ def structured_small(self): delr=delr, top=top, botm=botm, + idomain=idomain ) def structured_cbd_small(self): @@ -81,6 +83,7 @@ def vertex_small(self): [3, 1.5, 1.5, 4, 4, 5, 8, 7], [4, 0.5, 0.5, 4, 6, 7, 10, 9], ] + idomain = np.ones((nlay, ncpl), dtype=int) top = np.ones(ncpl, dtype=float) * 10.0 botm = np.zeros((nlay, ncpl), dtype=float) botm[0, :] = 5.0 @@ -93,6 +96,7 @@ def vertex_small(self): cell2d=cell2d, top=top, botm=botm, + idomain=idomain ) def unstructured_small(self): @@ -112,21 +116,21 @@ def unstructured_small(self): [10, 1.0, 0.0], ] iverts = [ - [0, 0, 1, 4, 3], - [1, 1, 2, 5, 4], - [2, 3, 4, 7, 6], - [3, 4, 5, 8, 7], - [4, 6, 7, 10, 9], - [5, 0, 1, 4, 3], - [6, 1, 2, 5, 4], - [7, 3, 4, 7, 6], - [8, 4, 5, 8, 7], - [9, 6, 7, 10, 9], - [10, 0, 1, 4, 3], - [11, 1, 2, 5, 4], - [12, 3, 4, 7, 6], - [13, 4, 5, 8, 7], - [14, 6, 7, 10, 9], + [0, 1, 4, 3], + [1, 2, 5, 4], + [3, 4, 7, 6], + [4, 5, 8, 7], + [6, 7, 10, 9], + [0, 1, 4, 3], + [1, 2, 5, 4], + [3, 4, 7, 6], + [4, 5, 8, 7], + [6, 7, 10, 9], + [0, 1, 4, 3], + [1, 2, 5, 4], + [3, 4, 7, 6], + [4, 5, 8, 7], + [6, 7, 10, 9], ] xcenters = [ 0.5, @@ -142,6 +146,7 @@ def unstructured_small(self): 1.5, 0.5, ] + idomain = np.ones((nlay, 5), dtype=int) top = np.ones((nlay, 5), dtype=float) top[0, :] = 10.0 top[1, :] = 5.0 @@ -159,6 +164,7 @@ def unstructured_small(self): ncpl=ncpl, top=top.flatten(), botm=botm.flatten(), + idomain=idomain.flatten() ) def unstructured_medium(self): diff --git a/flopy/discretization/grid.py b/flopy/discretization/grid.py index 0fe69caf55..6d845e8cd6 100644 --- a/flopy/discretization/grid.py +++ b/flopy/discretization/grid.py @@ -618,6 +618,41 @@ def xyzvertices(self): def cross_section_vertices(self): return self.xyzvertices[0], self.xyzvertices[1] + def geo_dataframe(self, polys): + """ + Method returns a geopandas GeoDataFrame of the Grid + + Returns + ------- + GeoDataFrame + """ + from ..utils.geospatial_utils import GeoSpatialCollection + + gc = GeoSpatialCollection( + polys, shapetype=["Polygon" for _ in range(len(polys))] + ) + gdf = gc.geo_dataframe + if self.crs is not None: + gdf = gdf.set_crs(crs=self.crs) + + return gdf + + def convert_grid(self, factor): + """ + Method to scale the model grid based on user supplied scale factors + + Parameters + ---------- + factor + + Returns + ------- + Grid object + """ + raise NotImplementedError( + "convert_grid must be defined in the child class" + ) + def _set_neighbors(self, reset=False, method="rook"): """ Method to calculate neighbors via shared edges or shared vertices diff --git a/flopy/discretization/structuredgrid.py b/flopy/discretization/structuredgrid.py index c850fa303d..4c943f979f 100644 --- a/flopy/discretization/structuredgrid.py +++ b/flopy/discretization/structuredgrid.py @@ -774,6 +774,44 @@ def map_polygons(self): return self._polygons + @property + def geo_dataframe(self): + """ + Returns a geopandas GeoDataFrame of the model grid + + Returns + ------- + GeoDataFrame + """ + polys = [[list(zip(*i))] for i in zip(*self.cross_section_vertices)] + gdf = super().geo_dataframe(polys) + return gdf + + def convert_grid(self, factor): + """ + Method to scale the model grid based on user supplied scale factors + + Parameters + ---------- + factor + + Returns + ------- + Grid object + """ + if super().is_complete: + return StructuredGrid( + delc=self.delc * factor, + delr=self.delr * factor, + top=self.top * factor, + botm=self.botm * factor, + idomain=self.idomain, + ) + else: + raise AssertionError( + "Grid is not complete and cannot be converted" + ) + ############### ### Methods ### ############### diff --git a/flopy/discretization/unstructuredgrid.py b/flopy/discretization/unstructuredgrid.py index 2ebef4f9ff..27d4db69f5 100644 --- a/flopy/discretization/unstructuredgrid.py +++ b/flopy/discretization/unstructuredgrid.py @@ -553,6 +553,49 @@ def map_polygons(self): return copy.copy(self._polygons) + @property + def geo_dataframe(self): + """ + Returns a geopandas GeoDataFrame of the model grid + + Returns + ------- + GeoDataFrame + """ + polys = [[self.get_cell_vertices(nn)] for nn in range(self.nnodes)] + gdf = super().geo_dataframe(polys) + return gdf + + def convert_grid(self, factor): + """ + Method to scale the model grid based on user supplied scale factors + + Parameters + ---------- + factor + + Returns + ------- + Grid object + """ + if self.is_complete: + return UnstructuredGrid( + vertices=[ + [i[0], i[1] * factor, i[2] * factor] + for i in self._vertices + ], + iverts=self._iverts, + xcenters=self._xc * factor, + ycenters=self._yc * factor, + top=self.top * factor, + botm=self.botm * factor, + idomain=self.idomain, + ) + else: + raise AssertionError( + "Grid is not complete and cannot be converted" + ) + def intersect(self, x, y, z=None, local=False, forgive=False): """ Get the CELL2D number of a point with coordinates x and y diff --git a/flopy/discretization/vertexgrid.py b/flopy/discretization/vertexgrid.py index f22aec2960..44641ccb91 100644 --- a/flopy/discretization/vertexgrid.py +++ b/flopy/discretization/vertexgrid.py @@ -289,6 +289,49 @@ def map_polygons(self): return copy.copy(self._polygons) + @property + def geo_dataframe(self): + """ + Returns a geopandas GeoDataFrame of the model grid + + Returns + ------- + GeoDataFrame + """ + polys = [[self.get_cell_vertices(nn)] for nn in range(self.ncpl)] + gdf = super().geo_dataframe(polys) + return gdf + + def convert_grid(self, factor): + """ + Method to scale the model grid based on user supplied scale factors + + Parameters + ---------- + factor + + Returns + ------- + Grid object + """ + if self.is_complete: + return VertexGrid( + vertices=[ + [i[0], i[1] * factor, i[2] * factor] + for i in self._vertices + ], + cell2d=[ + [i[0], i[1] * factor, i[2] * factor] + i[3:] + for i in self._cell2d + ], + top=self.top * factor, + botm=self.botm * factor, + ) + else: + raise AssertionError( + "Grid is not complete and cannot be converted" + ) + def intersect(self, x, y, z=None, local=False, forgive=False): """ Get the CELL2D number of a point with coordinates x and y diff --git a/flopy/utils/geospatial_utils.py b/flopy/utils/geospatial_utils.py index 4cd5620a8b..7e9457f71d 100644 --- a/flopy/utils/geospatial_utils.py +++ b/flopy/utils/geospatial_utils.py @@ -263,6 +263,8 @@ def __init__(self, obj, shapetype=None): self.__shapefile = import_optional_dependency( "shapefile", errors="silent" ) + gpd = import_optional_dependency("geopandas", errors="silent") + shapely_geo = import_optional_dependency( "shapely.geometry", errors="silent" ) @@ -275,6 +277,7 @@ def __init__(self, obj, shapetype=None): self._flopy_geometry = None self._points = None self.__shapetype = None + self.__attributes = None if isinstance(obj, Collection): for shape in obj: @@ -361,6 +364,16 @@ def __init__(self, obj, shapetype=None): for geom in obj.geoms: self.__collection.append(GeoSpatialUtil(geom)) + if gpd is not None: + if isinstance(obj, gpd.GeoDataFrame): + self.__attributes = {} + for geom in obj.geometry.values: + self.__collection.append(GeoSpatialUtil(geom)) + + for k in list(obj): + if k != "geometry": + self.__attributes[k] = obj[k].values + if not self.__collection: raise AssertionError( f"Reader is not installed for collection type: {type(obj)}" @@ -419,6 +432,23 @@ def shapely(self): ) return self._shapely + @property + def geo_dataframe(self): + """ + Property that returns a geopandas DataFrame + + Returns + ------- + geopandas.GeoDataFrame + """ + gpd = import_optional_dependency("geopandas") + data = {"geometry": self.shapely.geoms} + if self.__attributes is not None: + for k, v in self.__attributes.items(): + data[k] = v + gdf = gpd.GeoDataFrame(data) + return gdf + @property def geojson(self): """ diff --git a/flopy/utils/triangle.py b/flopy/utils/triangle.py index 9d7c5bb7b4..a0d86d18f0 100644 --- a/flopy/utils/triangle.py +++ b/flopy/utils/triangle.py @@ -58,7 +58,7 @@ def __init__( self.additional_args = additional_args self._initialize_vars() - def add_polygon(self, polygon): + def add_polygon(self, polygon, ignore_holes=False): """ Add a polygon @@ -72,6 +72,9 @@ def add_polygon(self, polygon): shapely Polygon object shapefile Polygon shape flopy.utils.geometry.Polygon object + ignore_holes : bool + method to ignore holes in polygon and only use the exterior + coordinates Returns ------- @@ -86,9 +89,10 @@ def add_polygon(self, polygon): if polygon[0][0] == polygon[0][-1]: polygon[0] = polygon[0][:-1] self._polygons.append(polygon[0]) - if len(polygon) > 1: - for hole in polygon[1:]: - self.add_hole(hole) + if not ignore_holes: + if len(polygon) > 1: + for hole in polygon[1:]: + self.add_hole(hole) def add_hole(self, hole): """ diff --git a/pyproject.toml b/pyproject.toml index a7304055fb..0bceeb856b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -65,6 +65,7 @@ optional = [ "descartes", "fiona", "geojson", + "geopandas", "imageio", "netcdf4", "pymetis ; platform_system != 'Windows'", From 92853a95f6d38b73e561e3e155d92b75b93afb5d Mon Sep 17 00:00:00 2001 From: Joshua Larsen Date: Wed, 31 Jan 2024 16:56:00 -0800 Subject: [PATCH 32/47] update(contour_array): add tri_mask kwarg to parameters (#2078) * move `tri_mask` kwarg to parameters * update docstrings for `tri_mask` kwarg * re-lint with new version of black (v24.1.1) * pin pytest < 8.0.0 (temporarily) --- flopy/__init__.py | 1 + flopy/export/netcdf.py | 6 ++-- flopy/export/shapefile_utils.py | 1 + flopy/mbase.py | 1 + flopy/mf6/data/mfdatastorage.py | 34 +++++++++++------------ flopy/mf6/data/mffileaccess.py | 6 ++-- flopy/mf6/data/mfstructure.py | 19 +++++++------ flopy/mf6/mfbase.py | 1 + flopy/mf6/mfmodel.py | 6 ++-- flopy/mf6/mfpackage.py | 18 ++++++------ flopy/mf6/utils/createpackages.py | 1 + flopy/mf6/utils/model_splitter.py | 46 +++++++++++++++++++------------ flopy/mf6/utils/output_util.py | 1 - flopy/mf6/utils/reference.py | 1 + flopy/mfusg/__init__.py | 1 + flopy/mfusg/cln_dtypes.py | 1 + flopy/mfusg/mfusg.py | 1 + flopy/mfusg/mfusgbcf.py | 1 + flopy/mfusg/mfusgdisu.py | 1 + flopy/mfusg/mfusggnc.py | 1 + flopy/mfusg/mfusglpf.py | 1 + flopy/mfusg/mfusgwel.py | 1 - flopy/modflow/mfbas.py | 6 ++-- flopy/modflow/mfde4.py | 1 + flopy/modflow/mfdis.py | 1 + flopy/modflow/mfdrn.py | 1 + flopy/modflow/mfdrt.py | 1 + flopy/modflow/mfevt.py | 1 + flopy/modflow/mffhb.py | 1 + flopy/modflow/mfgage.py | 1 + flopy/modflow/mfghb.py | 1 + flopy/modflow/mfgmg.py | 1 + flopy/modflow/mfhfb.py | 1 + flopy/modflow/mfhyd.py | 1 + flopy/modflow/mflak.py | 1 + flopy/modflow/mflmt.py | 1 + flopy/modflow/mflpf.py | 1 + flopy/modflow/mfmlt.py | 1 + flopy/modflow/mfmnw2.py | 20 +++++++------- flopy/modflow/mfnwt.py | 1 + flopy/modflow/mfoc.py | 1 + flopy/modflow/mfpar.py | 1 + flopy/modflow/mfpcg.py | 1 + flopy/modflow/mfpcgn.py | 1 + flopy/modflow/mfpks.py | 1 + flopy/modflow/mfpval.py | 1 + flopy/modflow/mfrch.py | 1 + flopy/modflow/mfriv.py | 1 + flopy/modflow/mfsfr2.py | 8 ++++-- flopy/modflow/mfsip.py | 1 + flopy/modflow/mfsor.py | 1 + flopy/modflow/mfstr.py | 1 + flopy/modflow/mfsub.py | 1 + flopy/modflow/mfswi2.py | 1 + flopy/modflow/mfswr1.py | 1 + flopy/modflow/mfswt.py | 1 + flopy/modflow/mfupw.py | 1 + flopy/modflow/mfwel.py | 1 + flopy/modflow/mfzon.py | 1 + flopy/modpath/mp6bas.py | 1 + flopy/modpath/mp6sim.py | 1 + flopy/modpath/mp7bas.py | 1 + flopy/modpath/mp7particledata.py | 1 + flopy/modpath/mp7sim.py | 1 + flopy/pakbase.py | 9 ++++-- flopy/plot/__init__.py | 1 + flopy/plot/map.py | 7 +++-- flopy/plot/plotutil.py | 1 + flopy/utils/__init__.py | 1 + flopy/utils/binaryfile.py | 7 +++-- flopy/utils/check.py | 8 ++++-- flopy/utils/crs.py | 1 + flopy/utils/datafile.py | 1 + flopy/utils/flopy_io.py | 1 + flopy/utils/geometry.py | 1 + flopy/utils/gridutil.py | 1 + flopy/utils/mfreadnam.py | 1 + flopy/utils/mtlistfile.py | 1 + flopy/utils/util_array.py | 13 +++++---- flopy/utils/util_list.py | 1 + pyproject.toml | 2 +- 81 files changed, 182 insertions(+), 98 deletions(-) diff --git a/flopy/__init__.py b/flopy/__init__.py index 36158da596..6eb8fc5411 100644 --- a/flopy/__init__.py +++ b/flopy/__init__.py @@ -19,6 +19,7 @@ contribute. """ + # See CITATION.cff for authors __author__ = "FloPy Team" diff --git a/flopy/export/netcdf.py b/flopy/export/netcdf.py index 4310f92501..2caba116d3 100644 --- a/flopy/export/netcdf.py +++ b/flopy/export/netcdf.py @@ -249,9 +249,9 @@ def __init__( } for n, v in spatial_attribs.items(): self.global_attributes["flopy_sr_" + n] = v - self.global_attributes[ - "start_datetime" - ] = self.model_time.start_datetime + self.global_attributes["start_datetime"] = ( + self.model_time.start_datetime + ) self.fillvalue = FILLVALUE diff --git a/flopy/export/shapefile_utils.py b/flopy/export/shapefile_utils.py index 41a6180ceb..b32df38ec2 100644 --- a/flopy/export/shapefile_utils.py +++ b/flopy/export/shapefile_utils.py @@ -2,6 +2,7 @@ Module for exporting and importing flopy model attributes """ + import copy import json import os diff --git a/flopy/mbase.py b/flopy/mbase.py index bf47d3edea..a412851378 100644 --- a/flopy/mbase.py +++ b/flopy/mbase.py @@ -4,6 +4,7 @@ all of the other models inherit from. """ + import abc import copy import os diff --git a/flopy/mf6/data/mfdatastorage.py b/flopy/mf6/data/mfdatastorage.py index eaf916d4ab..4285b908ec 100644 --- a/flopy/mf6/data/mfdatastorage.py +++ b/flopy/mf6/data/mfdatastorage.py @@ -1372,16 +1372,16 @@ def store_internal( # convert numbers to be multiplied by the original factor data = data * adjustment if const: - self.layer_storage[ - layer - ].data_storage_type = DataStorageType.internal_constant + self.layer_storage[layer].data_storage_type = ( + DataStorageType.internal_constant + ) self.layer_storage[layer].data_const_value = [ mfdatautil.get_first_val(data) ] else: - self.layer_storage[ - layer - ].data_storage_type = DataStorageType.internal_array + self.layer_storage[layer].data_storage_type = ( + DataStorageType.internal_array + ) try: self.layer_storage[layer].internal_data = np.reshape( data, dimensions @@ -1410,12 +1410,10 @@ def store_internal( data_type = self.data_dimensions.structure.get_datum_type(True) dt = self.layer_storage[layer].internal_data.dtype if dt != data_type: - self.layer_storage[ - layer - ].internal_data = self.layer_storage[ - layer - ].internal_data.astype( - data_type + self.layer_storage[layer].internal_data = ( + self.layer_storage[layer].internal_data.astype( + data_type + ) ) if not preserve_record: self.layer_storage[layer].factor = multiplier @@ -1804,9 +1802,9 @@ def store_external( if self._calc_data_size(data, 2) == 1 and data_size > 1: # constant data, need to expand self.layer_storage[layer_new].data_const_value = data - self.layer_storage[ - layer_new - ].data_storage_type = DataStorageType.internal_constant + self.layer_storage[layer_new].data_storage_type = ( + DataStorageType.internal_constant + ) data = self._fill_const_layer(layer) elif isinstance(data, list): data = self._to_ndarray(data, layer) @@ -1863,9 +1861,9 @@ def set_ext_file_attributes(self, layer, file_path, print_format, binary): self.layer_storage[layer].fname = file_path self.layer_storage[layer].iprn = print_format self.layer_storage[layer].binary = binary - self.layer_storage[ - layer - ].data_storage_type = DataStorageType.external_file + self.layer_storage[layer].data_storage_type = ( + DataStorageType.external_file + ) def point_to_existing_external_file(self, arr_line, layer): ( diff --git a/flopy/mf6/data/mffileaccess.py b/flopy/mf6/data/mffileaccess.py index e1ab9bbb05..a68a78a07c 100644 --- a/flopy/mf6/data/mffileaccess.py +++ b/flopy/mf6/data/mffileaccess.py @@ -1802,9 +1802,9 @@ def load_list_line( keyword_data_item.type = ( DatumType.string ) - self._temp_dict[ - data_item.name - ] = keyword_data_item + self._temp_dict[data_item.name] = ( + keyword_data_item + ) ( data_index, more_data_expected, diff --git a/flopy/mf6/data/mfstructure.py b/flopy/mf6/data/mfstructure.py index e194f14b66..576cb21483 100644 --- a/flopy/mf6/data/mfstructure.py +++ b/flopy/mf6/data/mfstructure.py @@ -3,6 +3,7 @@ """ + import ast import keyword import os @@ -275,9 +276,9 @@ def get_block_structure_dict(self, path, common, model_file, block_parent): current_block.add_dataset(block_dataset_struct) else: new_data_item_struct.block_type = block_type - dataset_items_in_block[ - new_data_item_struct.name - ] = new_data_item_struct + dataset_items_in_block[new_data_item_struct.name] = ( + new_data_item_struct + ) # if data item belongs to existing dataset(s) item_location_found = False @@ -585,9 +586,9 @@ def get_block_structure_dict(self, path, common, model_file, block_parent): current_block.add_dataset(block_dataset_struct) else: new_data_item_struct.block_type = block_type - dataset_items_in_block[ - new_data_item_struct.name - ] = new_data_item_struct + dataset_items_in_block[new_data_item_struct.name] = ( + new_data_item_struct + ) # if data item belongs to existing dataset(s) item_location_found = False @@ -651,9 +652,9 @@ def get_block_structure_dict(self, path, common, model_file, block_parent): key, val, ) in new_data_item_struct.keystring_dict.items(): - keystring_items_needed_dict[ - key - ] = new_data_item_struct + keystring_items_needed_dict[key] = ( + new_data_item_struct + ) # if data set does not exist if not item_location_found: diff --git a/flopy/mf6/mfbase.py b/flopy/mf6/mfbase.py index 0a9b7a335c..3bdc6eba50 100644 --- a/flopy/mf6/mfbase.py +++ b/flopy/mf6/mfbase.py @@ -1,4 +1,5 @@ """ Base classes for Modflow 6 """ + import copy import inspect import os diff --git a/flopy/mf6/mfmodel.py b/flopy/mf6/mfmodel.py index 00e9d260da..9745ec8109 100644 --- a/flopy/mf6/mfmodel.py +++ b/flopy/mf6/mfmodel.py @@ -907,9 +907,9 @@ def inspect_cells( # call the package's "inspect_cells" method package_output = pp.inspect_cells(cell_list, stress_period) if len(package_output) > 0: - output_by_package[ - f"{pp.package_name} package" - ] = package_output + output_by_package[f"{pp.package_name} package"] = ( + package_output + ) # get dependent variable if inspect_dependent_var: try: diff --git a/flopy/mf6/mfpackage.py b/flopy/mf6/mfpackage.py index 6f3ed087f2..004a8ed77a 100644 --- a/flopy/mf6/mfpackage.py +++ b/flopy/mf6/mfpackage.py @@ -109,9 +109,9 @@ def __init__( "blk_post_comment", ) if self.blk_trailing_comment_path not in simulation_data.mfdata: - simulation_data.mfdata[ - self.blk_trailing_comment_path - ] = MFComment("", "", simulation_data, 0) + simulation_data.mfdata[self.blk_trailing_comment_path] = ( + MFComment("", "", simulation_data, 0) + ) if self.blk_post_comment_path not in simulation_data.mfdata: simulation_data.mfdata[self.blk_post_comment_path] = MFComment( "\n", "", simulation_data, 0 @@ -856,9 +856,9 @@ def load(self, block_header, fd, strict=True): aux_vars = self._container_package.auxiliary.get_data() if aux_vars is not None: for var_name in list(aux_vars[0])[1:]: - self.datasets_keyword[ - (var_name,) - ] = self._container_package.aux.structure + self.datasets_keyword[(var_name,)] = ( + self._container_package.aux.structure + ) comments = [] @@ -2838,9 +2838,9 @@ def is_valid(self): def _load_blocks(self, fd_input_file, strict=True, max_blocks=sys.maxsize): # init - self._simulation_data.mfdata[ - self.path + ("pkg_hdr_comments",) - ] = MFComment("", self.path, self._simulation_data) + self._simulation_data.mfdata[self.path + ("pkg_hdr_comments",)] = ( + MFComment("", self.path, self._simulation_data) + ) self.post_block_comments = MFComment( "", self.path, self._simulation_data ) diff --git a/flopy/mf6/utils/createpackages.py b/flopy/mf6/utils/createpackages.py index b891e6524a..539361784d 100644 --- a/flopy/mf6/utils/createpackages.py +++ b/flopy/mf6/utils/createpackages.py @@ -80,6 +80,7 @@ files, the package classes, and updated init.py that createpackages.py created. """ + import datetime import os import textwrap diff --git a/flopy/mf6/utils/model_splitter.py b/flopy/mf6/utils/model_splitter.py index f3b3bfd37c..65582f390e 100644 --- a/flopy/mf6/utils/model_splitter.py +++ b/flopy/mf6/utils/model_splitter.py @@ -2299,9 +2299,11 @@ def _remap_obs(self, package, mapped_data, remapper, pkg_type=None): remaps = remapper[idt] idx = np.where(idtype == idt) new_cellid1[idx] = [ - remaps[i][-1] + 1 - if isinstance(i, int) - else i + ( + remaps[i][-1] + 1 + if isinstance(i, int) + else i + ) for i in obsid[idx] ] new_model1[idx] = [ @@ -2311,9 +2313,11 @@ def _remap_obs(self, package, mapped_data, remapper, pkg_type=None): else: new_cellid1 = np.array( [ - remapper[i][-1] + 1 - if isinstance(i, int) - else i + ( + remapper[i][-1] + 1 + if isinstance(i, int) + else i + ) for i in obsid ], dtype=object, @@ -2409,9 +2413,11 @@ def _remap_obs(self, package, mapped_data, remapper, pkg_type=None): ] if self._modelgrid.grid_type == "structured": cellid2 = [ - (0, cid[1], cid[2]) - if cid is not None - else None + ( + (0, cid[1], cid[2]) + if cid is not None + else None + ) for cid in cellid2 ] else: @@ -2497,17 +2503,21 @@ def _remap_obs(self, package, mapped_data, remapper, pkg_type=None): remaps = remapper[idt] idx = np.where(idtype == idt) new_cellid2[idx] = [ - remaps[i][-1] + 1 - if isinstance(i, int) - else i + ( + remaps[i][-1] + 1 + if isinstance(i, int) + else i + ) for i in obsid[idx] ] else: new_cellid2 = np.array( [ - remapper[i][-1] + 1 - if isinstance(i, int) - else i + ( + remapper[i][-1] + 1 + if isinstance(i, int) + else i + ) for i in obsid ], dtype=object, @@ -2886,9 +2896,9 @@ def _remap_package(self, package, ismvr=False): ) else: for mkey in self._model_dict.keys(): - mapped_data[mkey][ - item - ] = self._ivert_vert_remap[mkey][item] + mapped_data[mkey][item] = ( + self._ivert_vert_remap[mkey][item] + ) mapped_data[mkey]["nvert"] = len( self._ivert_vert_remap[mkey][item] ) diff --git a/flopy/mf6/utils/output_util.py b/flopy/mf6/utils/output_util.py index f224ca5634..e2d87fb91b 100644 --- a/flopy/mf6/utils/output_util.py +++ b/flopy/mf6/utils/output_util.py @@ -14,7 +14,6 @@ class MF6Output: - """ A class that uses meta programming to get output diff --git a/flopy/mf6/utils/reference.py b/flopy/mf6/utils/reference.py index 5efc3e5ddd..1f472b505b 100644 --- a/flopy/mf6/utils/reference.py +++ b/flopy/mf6/utils/reference.py @@ -2,6 +2,7 @@ Module spatial referencing for flopy model objects """ + import numpy as np diff --git a/flopy/mfusg/__init__.py b/flopy/mfusg/__init__.py index 5bd255e44c..6790a64896 100644 --- a/flopy/mfusg/__init__.py +++ b/flopy/mfusg/__init__.py @@ -1,4 +1,5 @@ """Initialize MfUsg.""" + from .cln_dtypes import MfUsgClnDtypes from .mfusg import MfUsg from .mfusgbcf import MfUsgBcf diff --git a/flopy/mfusg/cln_dtypes.py b/flopy/mfusg/cln_dtypes.py index 73c50d7cbf..aac2e9a6f6 100644 --- a/flopy/mfusg/cln_dtypes.py +++ b/flopy/mfusg/cln_dtypes.py @@ -1,4 +1,5 @@ """Mfusg CLN dtype class.""" + import numpy as np diff --git a/flopy/mfusg/mfusg.py b/flopy/mfusg/mfusg.py index 8142202c40..9c01130a0e 100644 --- a/flopy/mfusg/mfusg.py +++ b/flopy/mfusg/mfusg.py @@ -1,4 +1,5 @@ """Mfusg module.""" + import os from inspect import getfullargspec from typing import Union diff --git a/flopy/mfusg/mfusgbcf.py b/flopy/mfusg/mfusgbcf.py index fcd99d4729..ea85670e35 100644 --- a/flopy/mfusg/mfusgbcf.py +++ b/flopy/mfusg/mfusgbcf.py @@ -4,6 +4,7 @@ Contains the MfUsgBcf class. Note that the user can access the MfUsgBcf class as `flopy.mfusg.MfUsgBcf`. """ + import numpy as np from ..modflow import ModflowBcf diff --git a/flopy/mfusg/mfusgdisu.py b/flopy/mfusg/mfusgdisu.py index 298e893168..14fad62c11 100644 --- a/flopy/mfusg/mfusgdisu.py +++ b/flopy/mfusg/mfusgdisu.py @@ -2,6 +2,7 @@ mfdisu module. Contains the MfUsgDisU class. Note that the user can access the MfUsgDisU class as `flopy.mfusg.MfUsgDisU`. """ + import numpy as np from ..discretization.unstructuredgrid import UnstructuredGrid diff --git a/flopy/mfusg/mfusggnc.py b/flopy/mfusg/mfusggnc.py index dc2a0003dd..32be0b7bbb 100644 --- a/flopy/mfusg/mfusggnc.py +++ b/flopy/mfusg/mfusggnc.py @@ -5,6 +5,7 @@ Contains the MfUsgGnc class. Note that the user can access the MfUsgGnc class as `flopy.mfusg.MfUsgGnc`. """ + import numpy as np from ..modflow.mfparbc import ModflowParBc as mfparbc diff --git a/flopy/mfusg/mfusglpf.py b/flopy/mfusg/mfusglpf.py index 42476656d1..5e416f121a 100644 --- a/flopy/mfusg/mfusglpf.py +++ b/flopy/mfusg/mfusglpf.py @@ -8,6 +8,7 @@ MODFLOW Guide `_. """ + import numpy as np from ..modflow.mflpf import ModflowLpf diff --git a/flopy/mfusg/mfusgwel.py b/flopy/mfusg/mfusgwel.py index 47ecc26d49..bb3ca0bbe6 100644 --- a/flopy/mfusg/mfusgwel.py +++ b/flopy/mfusg/mfusgwel.py @@ -9,7 +9,6 @@ `_. """ - from ..modflow.mfwel import ModflowWel from ..utils import MfList from .mfusg import MfUsg diff --git a/flopy/modflow/mfbas.py b/flopy/modflow/mfbas.py index fd87af5ff6..97c8464415 100644 --- a/flopy/modflow/mfbas.py +++ b/flopy/modflow/mfbas.py @@ -193,9 +193,9 @@ def check(self, f=None, verbose=True, level=1, checktype=None): neighbors = chk.get_neighbors(self.ibound.array) if isinstance(neighbors, np.ndarray): - neighbors[ - np.isnan(neighbors) - ] = 0 # set neighbors at edges to 0 (inactive) + neighbors[np.isnan(neighbors)] = ( + 0 # set neighbors at edges to 0 (inactive) + ) chk.values( self.ibound.array, (self.ibound.array > 0) & np.all(neighbors < 1, axis=0), diff --git a/flopy/modflow/mfde4.py b/flopy/modflow/mfde4.py index 11d4df5ade..8de92d3466 100644 --- a/flopy/modflow/mfde4.py +++ b/flopy/modflow/mfde4.py @@ -7,6 +7,7 @@ `_. """ + from ..pakbase import Package diff --git a/flopy/modflow/mfdis.py b/flopy/modflow/mfdis.py index a146eeb8d0..541d710df4 100644 --- a/flopy/modflow/mfdis.py +++ b/flopy/modflow/mfdis.py @@ -7,6 +7,7 @@ `_. """ + import warnings import numpy as np diff --git a/flopy/modflow/mfdrn.py b/flopy/modflow/mfdrn.py index 9c3a64f432..7e83553ee2 100644 --- a/flopy/modflow/mfdrn.py +++ b/flopy/modflow/mfdrn.py @@ -7,6 +7,7 @@ `_. """ + import numpy as np from ..pakbase import Package diff --git a/flopy/modflow/mfdrt.py b/flopy/modflow/mfdrt.py index 425f6d873d..f165381a3f 100644 --- a/flopy/modflow/mfdrt.py +++ b/flopy/modflow/mfdrt.py @@ -7,6 +7,7 @@ `_. """ + import numpy as np from ..pakbase import Package diff --git a/flopy/modflow/mfevt.py b/flopy/modflow/mfevt.py index 3cd1ad6855..f3e92f3f0a 100644 --- a/flopy/modflow/mfevt.py +++ b/flopy/modflow/mfevt.py @@ -7,6 +7,7 @@ `_. """ + import numpy as np from ..pakbase import Package diff --git a/flopy/modflow/mffhb.py b/flopy/modflow/mffhb.py index 9ea0c88f44..b29ffadff3 100644 --- a/flopy/modflow/mffhb.py +++ b/flopy/modflow/mffhb.py @@ -7,6 +7,7 @@ `_. """ + import numpy as np import pandas as pd diff --git a/flopy/modflow/mfgage.py b/flopy/modflow/mfgage.py index 48953cd0de..ba2463ff2a 100644 --- a/flopy/modflow/mfgage.py +++ b/flopy/modflow/mfgage.py @@ -7,6 +7,7 @@ `_. """ + import os import numpy as np diff --git a/flopy/modflow/mfghb.py b/flopy/modflow/mfghb.py index fb9ed02116..4ba6d2935d 100644 --- a/flopy/modflow/mfghb.py +++ b/flopy/modflow/mfghb.py @@ -7,6 +7,7 @@ `_. """ + import numpy as np from ..pakbase import Package diff --git a/flopy/modflow/mfgmg.py b/flopy/modflow/mfgmg.py index de2e583288..9987e42f40 100644 --- a/flopy/modflow/mfgmg.py +++ b/flopy/modflow/mfgmg.py @@ -7,6 +7,7 @@ `_. """ + from ..pakbase import Package diff --git a/flopy/modflow/mfhfb.py b/flopy/modflow/mfhfb.py index 4ce69223de..19f30fbee1 100644 --- a/flopy/modflow/mfhfb.py +++ b/flopy/modflow/mfhfb.py @@ -7,6 +7,7 @@ `_. """ + import numpy as np from numpy.lib.recfunctions import stack_arrays diff --git a/flopy/modflow/mfhyd.py b/flopy/modflow/mfhyd.py index a2301bc1a4..29af549886 100644 --- a/flopy/modflow/mfhyd.py +++ b/flopy/modflow/mfhyd.py @@ -7,6 +7,7 @@ `_. """ + import numpy as np import pandas as pd diff --git a/flopy/modflow/mflak.py b/flopy/modflow/mflak.py index e8a05730fe..cde1952d74 100644 --- a/flopy/modflow/mflak.py +++ b/flopy/modflow/mflak.py @@ -7,6 +7,7 @@ `_. """ + import numpy as np from ..pakbase import Package diff --git a/flopy/modflow/mflmt.py b/flopy/modflow/mflmt.py index 91bcfb62dd..c7b6ce940b 100644 --- a/flopy/modflow/mflmt.py +++ b/flopy/modflow/mflmt.py @@ -7,6 +7,7 @@ `_. """ + import os from ..pakbase import Package diff --git a/flopy/modflow/mflpf.py b/flopy/modflow/mflpf.py index dd2e589150..397f7f79f6 100644 --- a/flopy/modflow/mflpf.py +++ b/flopy/modflow/mflpf.py @@ -7,6 +7,7 @@ `_. """ + import numpy as np from ..pakbase import Package diff --git a/flopy/modflow/mfmlt.py b/flopy/modflow/mfmlt.py index ea9a0144f7..6a84519b1c 100644 --- a/flopy/modflow/mfmlt.py +++ b/flopy/modflow/mfmlt.py @@ -7,6 +7,7 @@ `_. """ + import numpy as np from ..pakbase import Package diff --git a/flopy/modflow/mfmnw2.py b/flopy/modflow/mfmnw2.py index fd8f1d764f..2df6478716 100644 --- a/flopy/modflow/mfmnw2.py +++ b/flopy/modflow/mfmnw2.py @@ -1633,10 +1633,10 @@ def make_stress_period_data(self, mnwobjs): stress_period_data = {} for per, itmp in enumerate(self.itmp): if itmp > 0: - stress_period_data[ - per - ] = ModflowMnw2.get_empty_stress_period_data( - itmp, aux_names=self.aux + stress_period_data[per] = ( + ModflowMnw2.get_empty_stress_period_data( + itmp, aux_names=self.aux + ) ) i = 0 for mnw in mnwobjs: @@ -1651,9 +1651,9 @@ def make_stress_period_data(self, mnwobjs): ] stress_period_data[per]["wellid"][i - 1] = mnw.wellid for n in names: - stress_period_data[per][n][ - i - 1 - ] = mnw.stress_period_data[n][per] + stress_period_data[per][n][i - 1] = ( + mnw.stress_period_data[n][per] + ) stress_period_data[per].sort(order="wellid") if i < itmp: raise ItmpError(itmp, i) @@ -1696,9 +1696,9 @@ def export(self, f, **kwargs): for per in self.stress_period_data.data.keys(): for col in todrop: inds = self.stress_period_data[per].wellid == wellid - self.stress_period_data[per][col][ - inds - ] = self.node_data[wellnd][col] + self.stress_period_data[per][col][inds] = ( + self.node_data[wellnd][col] + ) self.node_data_MfList = self.node_data_MfList.drop(todrop) """ todrop = {'qfrcmx', 'qfrcmn'} diff --git a/flopy/modflow/mfnwt.py b/flopy/modflow/mfnwt.py index cbe3f199c8..52b3e4ddb3 100644 --- a/flopy/modflow/mfnwt.py +++ b/flopy/modflow/mfnwt.py @@ -7,6 +7,7 @@ `_. """ + from ..pakbase import Package diff --git a/flopy/modflow/mfoc.py b/flopy/modflow/mfoc.py index e955b2fa70..820fd729df 100644 --- a/flopy/modflow/mfoc.py +++ b/flopy/modflow/mfoc.py @@ -7,6 +7,7 @@ `_. """ + import os from ..pakbase import Package diff --git a/flopy/modflow/mfpar.py b/flopy/modflow/mfpar.py index 331bc9657f..d866977b0b 100644 --- a/flopy/modflow/mfpar.py +++ b/flopy/modflow/mfpar.py @@ -4,6 +4,7 @@ """ + import numpy as np from .mfmlt import ModflowMlt diff --git a/flopy/modflow/mfpcg.py b/flopy/modflow/mfpcg.py index 1c660e9002..2b2ee78d24 100644 --- a/flopy/modflow/mfpcg.py +++ b/flopy/modflow/mfpcg.py @@ -7,6 +7,7 @@ `_. """ + from ..pakbase import Package from ..utils.flopy_io import line_parse diff --git a/flopy/modflow/mfpcgn.py b/flopy/modflow/mfpcgn.py index a5bf52ffe0..21c4e2eff8 100644 --- a/flopy/modflow/mfpcgn.py +++ b/flopy/modflow/mfpcgn.py @@ -7,6 +7,7 @@ `_. """ + from ..pakbase import Package diff --git a/flopy/modflow/mfpks.py b/flopy/modflow/mfpks.py index 0d3d49abd7..905c33e654 100644 --- a/flopy/modflow/mfpks.py +++ b/flopy/modflow/mfpks.py @@ -3,6 +3,7 @@ the ModflowPks class as `flopy.modflow.ModflowPks`. """ + from ..pakbase import Package diff --git a/flopy/modflow/mfpval.py b/flopy/modflow/mfpval.py index 08f12d2718..151cf46a36 100644 --- a/flopy/modflow/mfpval.py +++ b/flopy/modflow/mfpval.py @@ -7,6 +7,7 @@ `_. """ + from ..pakbase import Package diff --git a/flopy/modflow/mfrch.py b/flopy/modflow/mfrch.py index 70861a9c4e..2e1ad8deca 100644 --- a/flopy/modflow/mfrch.py +++ b/flopy/modflow/mfrch.py @@ -7,6 +7,7 @@ `_. """ + import numpy as np from ..modflow.mfparbc import ModflowParBc as mfparbc diff --git a/flopy/modflow/mfriv.py b/flopy/modflow/mfriv.py index 7cbdf57c3f..7ab5800007 100644 --- a/flopy/modflow/mfriv.py +++ b/flopy/modflow/mfriv.py @@ -7,6 +7,7 @@ `_. """ + import numpy as np from ..pakbase import Package diff --git a/flopy/modflow/mfsfr2.py b/flopy/modflow/mfsfr2.py index bc030770be..fad587b07d 100644 --- a/flopy/modflow/mfsfr2.py +++ b/flopy/modflow/mfsfr2.py @@ -1369,9 +1369,11 @@ def get_slopes( } slopes = np.array( [ - (elev[i] - dnelev[i]) / dist[i] - if dnelev[i] != -9999 - else default_slope + ( + (elev[i] - dnelev[i]) / dist[i] + if dnelev[i] != -9999 + else default_slope + ) for i in rd.reachID ] ) diff --git a/flopy/modflow/mfsip.py b/flopy/modflow/mfsip.py index 157d250449..096a0c7a55 100644 --- a/flopy/modflow/mfsip.py +++ b/flopy/modflow/mfsip.py @@ -7,6 +7,7 @@ `_. """ + from ..pakbase import Package diff --git a/flopy/modflow/mfsor.py b/flopy/modflow/mfsor.py index 088ecff667..720bfc36d5 100644 --- a/flopy/modflow/mfsor.py +++ b/flopy/modflow/mfsor.py @@ -7,6 +7,7 @@ `_. """ + from ..pakbase import Package diff --git a/flopy/modflow/mfstr.py b/flopy/modflow/mfstr.py index 07cb545f49..d7a5aaf52b 100644 --- a/flopy/modflow/mfstr.py +++ b/flopy/modflow/mfstr.py @@ -7,6 +7,7 @@ `_. """ + import numpy as np import pandas as pd diff --git a/flopy/modflow/mfsub.py b/flopy/modflow/mfsub.py index 0453ed2a91..3a76639cf5 100644 --- a/flopy/modflow/mfsub.py +++ b/flopy/modflow/mfsub.py @@ -7,6 +7,7 @@ `_. """ + import numpy as np from ..pakbase import Package diff --git a/flopy/modflow/mfswi2.py b/flopy/modflow/mfswi2.py index 63acd3b947..dfe4de9f98 100644 --- a/flopy/modflow/mfswi2.py +++ b/flopy/modflow/mfswi2.py @@ -5,6 +5,7 @@ MODFLOW Guide `_. """ + import numpy as np from ..pakbase import Package diff --git a/flopy/modflow/mfswr1.py b/flopy/modflow/mfswr1.py index bae254e055..9e6c815cc5 100644 --- a/flopy/modflow/mfswr1.py +++ b/flopy/modflow/mfswr1.py @@ -7,6 +7,7 @@ `_. """ + from ..pakbase import Package diff --git a/flopy/modflow/mfswt.py b/flopy/modflow/mfswt.py index 8c9e67f757..a769be0f3e 100644 --- a/flopy/modflow/mfswt.py +++ b/flopy/modflow/mfswt.py @@ -7,6 +7,7 @@ `_. """ + import numpy as np from ..pakbase import Package diff --git a/flopy/modflow/mfupw.py b/flopy/modflow/mfupw.py index e26097ff1d..35da223f3b 100644 --- a/flopy/modflow/mfupw.py +++ b/flopy/modflow/mfupw.py @@ -7,6 +7,7 @@ `_. """ + import numpy as np from ..pakbase import Package diff --git a/flopy/modflow/mfwel.py b/flopy/modflow/mfwel.py index c9e82d3b82..e1326721c8 100644 --- a/flopy/modflow/mfwel.py +++ b/flopy/modflow/mfwel.py @@ -7,6 +7,7 @@ `_. """ + import numpy as np from ..pakbase import Package diff --git a/flopy/modflow/mfzon.py b/flopy/modflow/mfzon.py index f2e323bfad..891840d6b1 100644 --- a/flopy/modflow/mfzon.py +++ b/flopy/modflow/mfzon.py @@ -7,6 +7,7 @@ `_. """ + import numpy as np from ..pakbase import Package diff --git a/flopy/modpath/mp6bas.py b/flopy/modpath/mp6bas.py index 7e320c20d6..e15f7192df 100644 --- a/flopy/modpath/mp6bas.py +++ b/flopy/modpath/mp6bas.py @@ -7,6 +7,7 @@ `_. """ + import numpy as np from ..pakbase import Package diff --git a/flopy/modpath/mp6sim.py b/flopy/modpath/mp6sim.py index 1900b40c6d..8fc9c817d4 100644 --- a/flopy/modpath/mp6sim.py +++ b/flopy/modpath/mp6sim.py @@ -7,6 +7,7 @@ `_. """ + import numpy as np import pandas as pd diff --git a/flopy/modpath/mp7bas.py b/flopy/modpath/mp7bas.py index a79e424810..8126499d36 100644 --- a/flopy/modpath/mp7bas.py +++ b/flopy/modpath/mp7bas.py @@ -2,6 +2,7 @@ mp7bas module. Contains the Modpath7Bas class. """ + import numpy as np from ..pakbase import Package diff --git a/flopy/modpath/mp7particledata.py b/flopy/modpath/mp7particledata.py index 73c63e11d8..e388a128be 100644 --- a/flopy/modpath/mp7particledata.py +++ b/flopy/modpath/mp7particledata.py @@ -4,6 +4,7 @@ """ + from itertools import product from typing import Generator, Iterator, Tuple diff --git a/flopy/modpath/mp7sim.py b/flopy/modpath/mp7sim.py index 37c92d20e0..0a561f2e6e 100644 --- a/flopy/modpath/mp7sim.py +++ b/flopy/modpath/mp7sim.py @@ -7,6 +7,7 @@ `_. """ + from enum import Enum import numpy as np diff --git a/flopy/pakbase.py b/flopy/pakbase.py index c7b4297d07..27fb1592df 100644 --- a/flopy/pakbase.py +++ b/flopy/pakbase.py @@ -4,6 +4,7 @@ all of the other packages inherit from. """ + import abc import os import webbrowser as wb @@ -383,9 +384,11 @@ def _check_storage(self, chk, storage_coeff): if "laytyp" in self.__dict__: inds = np.array( [ - True - if l > 0 or l < 0 and "THICKSTRT" in self.options - else False + ( + True + if l > 0 or l < 0 and "THICKSTRT" in self.options + else False + ) for l in self.laytyp ] ) diff --git a/flopy/plot/__init__.py b/flopy/plot/__init__.py index fa436e3a68..90473aee1e 100644 --- a/flopy/plot/__init__.py +++ b/flopy/plot/__init__.py @@ -20,6 +20,7 @@ -------- """ + from .crosssection import PlotCrossSection from .map import PlotMapView from .plotutil import ( diff --git a/flopy/plot/map.py b/flopy/plot/map.py index 30d278c10d..93d272ec02 100644 --- a/flopy/plot/map.py +++ b/flopy/plot/map.py @@ -156,7 +156,7 @@ def plot_array(self, a, masked_values=None, **kwargs): ax.set_ylim(self.extent[2], self.extent[3]) return collection - def contour_array(self, a, masked_values=None, **kwargs): + def contour_array(self, a, masked_values=None, tri_mask=False, **kwargs): """ Contour an array on the grid. By default the top layer is contoured. To select a different layer, specify the @@ -171,6 +171,10 @@ def contour_array(self, a, masked_values=None, **kwargs): Array to plot. masked_values : iterable of floats, ints Values to mask. + tri_mask : bool + Boolean flag that masks triangulation and contouring + by nearest grid neighbors. This flag is useful for contouring + on unstructured model domains that have holes in the grid. **kwargs : dictionary keyword arguments passed to matplotlib.pyplot.pcolormesh @@ -197,7 +201,6 @@ def contour_array(self, a, masked_values=None, **kwargs): ax = kwargs.pop("ax", self.ax) filled = kwargs.pop("filled", False) plot_triplot = kwargs.pop("plot_triplot", False) - tri_mask = kwargs.pop("tri_mask", False) if "colors" in kwargs.keys(): if "cmap" in kwargs.keys(): diff --git a/flopy/plot/plotutil.py b/flopy/plot/plotutil.py index b862331693..a5efaee53d 100644 --- a/flopy/plot/plotutil.py +++ b/flopy/plot/plotutil.py @@ -4,6 +4,7 @@ shapefiles are also included. """ + import os import warnings from itertools import repeat diff --git a/flopy/utils/__init__.py b/flopy/utils/__init__.py index 76ba6d6930..cbab04dd9b 100644 --- a/flopy/utils/__init__.py +++ b/flopy/utils/__init__.py @@ -20,6 +20,7 @@ -------- """ + from .utl_import import import_optional_dependency # isort:skip from . import get_modflow as get_modflow_module from .binaryfile import ( diff --git a/flopy/utils/binaryfile.py b/flopy/utils/binaryfile.py index d818af9e3e..414a387987 100644 --- a/flopy/utils/binaryfile.py +++ b/flopy/utils/binaryfile.py @@ -8,6 +8,7 @@ * CellBudgetFile (Binary cell-by-cell flow file) """ + import os import warnings from pathlib import Path @@ -1262,9 +1263,9 @@ def _build_index(self): self.nlay = np.abs(header["nlay"]) # store record and byte position mapping - self.recorddict[ - tuple(header) - ] = ipos # store the position right after header2 + self.recorddict[tuple(header)] = ( + ipos # store the position right after header2 + ) self.recordarray.append(header) self.iposarray.append( ipos diff --git a/flopy/utils/check.py b/flopy/utils/check.py index 5b401375b3..69f8c2ba5f 100644 --- a/flopy/utils/check.py +++ b/flopy/utils/check.py @@ -561,9 +561,11 @@ def summarize(self, scrub: bool = False): packages = self.summary_array.package desc = self.summary_array.desc self.summary_array["desc"] = [ - f"\r {packages[i]} package: {d.strip()}" - if packages[i] != "model" - else d + ( + f"\r {packages[i]} package: {d.strip()}" + if packages[i] != "model" + else d + ) for i, d in enumerate(desc) ] diff --git a/flopy/utils/crs.py b/flopy/utils/crs.py index 63fd90e84a..a2009d62d0 100644 --- a/flopy/utils/crs.py +++ b/flopy/utils/crs.py @@ -1,5 +1,6 @@ """Utilities related to coordinate reference system handling. """ + import warnings from pathlib import Path diff --git a/flopy/utils/datafile.py b/flopy/utils/datafile.py index 5c5d3dc811..6541d4ba60 100644 --- a/flopy/utils/datafile.py +++ b/flopy/utils/datafile.py @@ -3,6 +3,7 @@ abstract classes that should not be directly accessed. """ + import os from pathlib import Path from typing import Union diff --git a/flopy/utils/flopy_io.py b/flopy/utils/flopy_io.py index 17078dabb7..caa8532ed8 100644 --- a/flopy/utils/flopy_io.py +++ b/flopy/utils/flopy_io.py @@ -1,6 +1,7 @@ """ Module for input/output utilities """ + import os import platform import sys diff --git a/flopy/utils/geometry.py b/flopy/utils/geometry.py index fd3aa6561f..d22990f8a8 100644 --- a/flopy/utils/geometry.py +++ b/flopy/utils/geometry.py @@ -1,6 +1,7 @@ """ Container objects for working with geometric information """ + import numpy as np from ..utils import import_optional_dependency diff --git a/flopy/utils/gridutil.py b/flopy/utils/gridutil.py index e1e6f146e5..bd428c8fe2 100644 --- a/flopy/utils/gridutil.py +++ b/flopy/utils/gridutil.py @@ -1,6 +1,7 @@ """ Grid utilities """ + from math import floor from typing import Collection, Iterable, List, Sequence, Tuple, Union diff --git a/flopy/utils/mfreadnam.py b/flopy/utils/mfreadnam.py index b96ff5e50a..47ab6da507 100644 --- a/flopy/utils/mfreadnam.py +++ b/flopy/utils/mfreadnam.py @@ -7,6 +7,7 @@ `_. """ + import os from os import PathLike from pathlib import Path, PurePosixPath, PureWindowsPath diff --git a/flopy/utils/mtlistfile.py b/flopy/utils/mtlistfile.py index af682bc7a4..5faf5eb3fc 100644 --- a/flopy/utils/mtlistfile.py +++ b/flopy/utils/mtlistfile.py @@ -3,6 +3,7 @@ mt3d(usgs) run. Also includes support for SFT budget. """ + import re import warnings diff --git a/flopy/utils/util_array.py b/flopy/utils/util_array.py index bee5f31e1b..18923e8aa9 100644 --- a/flopy/utils/util_array.py +++ b/flopy/utils/util_array.py @@ -5,6 +5,7 @@ instantiate these classes directly. """ + # from future.utils import with_metaclass import copy @@ -2646,11 +2647,13 @@ def array2string(shape, data, fortran_format="(FREE)", python_format=None): # write the array to a string len_data = data.size str_fmt_data = [ - output_fmt.format(d) + "\n" - if (((i + 1) % column_length == 0.0) and (i != 0 or ncol == 1)) - or ((i + 1 == ncol) and (ncol != 1)) - or (i + 1 == len_data) - else output_fmt.format(d) + ( + output_fmt.format(d) + "\n" + if (((i + 1) % column_length == 0.0) and (i != 0 or ncol == 1)) + or ((i + 1 == ncol) and (ncol != 1)) + or (i + 1 == len_data) + else output_fmt.format(d) + ) for i, d in enumerate(data.flatten()) ] s = "".join(str_fmt_data) diff --git a/flopy/utils/util_list.py b/flopy/utils/util_list.py index 3eae337906..dad0b7a5da 100644 --- a/flopy/utils/util_list.py +++ b/flopy/utils/util_list.py @@ -7,6 +7,7 @@ some more info """ + import os import warnings diff --git a/pyproject.toml b/pyproject.toml index 0bceeb856b..576b33047a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -52,7 +52,7 @@ test = [ "jupyter", "jupytext", "modflow-devtools", - "pytest", + "pytest < 8.0.0", "pytest-benchmark", "pytest-cases", "pytest-cov", From d0c5dbc1607f09fb00074de1b029850459af5bb5 Mon Sep 17 00:00:00 2001 From: wpbonelli Date: Thu, 1 Feb 2024 10:26:27 -0500 Subject: [PATCH 33/47] test: drop pytest-cases dependency, mark tests needing geopandas (#2077) * remove pytest-cases from testing dependencies * refactor mp6 tests without pytest-cases * refactor grid tests without pytest-cases * mark tests requiring geopandas * add .DS_Store to .gitignore --- .docs/Notebooks/mf_error_tutorial01.py | 1 + .../mf_watertable_recharge_example.py | 7 +- .gitignore | 5 +- autotest/test_copy.py | 1 + autotest/test_geospatial_util.py | 6 +- autotest/test_get_modflow.py | 9 +- autotest/test_grid.py | 49 ++- autotest/test_grid_cases.py | 225 ++++++----- autotest/test_mfnwt.py | 7 +- autotest/test_mnw.py | 16 +- autotest/test_mp6.py | 244 +++++++++--- autotest/test_mp6_cases.py | 297 -------------- etc/environment.yml | 1 - .../expected_output/AdvGW_tidal.cbc | Bin 0 -> 13416552 bytes .../expected_output/AdvGW_tidal.hds | Bin 0 -> 1355916 bytes .../data/mf6/test005_advgw_tidal/tides.txt | 365 ++++++++++++++++++ pyproject.toml | 3 +- scripts/update_version.py | 6 +- 18 files changed, 731 insertions(+), 511 deletions(-) delete mode 100644 autotest/test_mp6_cases.py create mode 100644 examples/data/mf6/test005_advgw_tidal/expected_output/AdvGW_tidal.cbc create mode 100644 examples/data/mf6/test005_advgw_tidal/expected_output/AdvGW_tidal.hds create mode 100644 examples/data/mf6/test005_advgw_tidal/tides.txt diff --git a/.docs/Notebooks/mf_error_tutorial01.py b/.docs/Notebooks/mf_error_tutorial01.py index 94851c8786..367b5775fc 100644 --- a/.docs/Notebooks/mf_error_tutorial01.py +++ b/.docs/Notebooks/mf_error_tutorial01.py @@ -79,6 +79,7 @@ try: import pandas as pd + summary_pth = os.path.join(workspace, "checksummary.csv") df = pd.read_csv(summary_pth) except: diff --git a/.docs/Notebooks/mf_watertable_recharge_example.py b/.docs/Notebooks/mf_watertable_recharge_example.py index 814e2f6faa..e357d66665 100644 --- a/.docs/Notebooks/mf_watertable_recharge_example.py +++ b/.docs/Notebooks/mf_watertable_recharge_example.py @@ -66,12 +66,7 @@ def analytical_water_table_solution(h1, h2, z, R, K, L, x): # x -= dx b1 = h1 - z b2 = h2 - z - h = ( - np.sqrt( - b1**2 - (x / L) * (b1**2 - b2**2) + (R * x / K) * (L - x) - ) - + z - ) + h = np.sqrt(b1**2 - (x / L) * (b1**2 - b2**2) + (R * x / K) * (L - x)) + z return h diff --git a/.gitignore b/.gitignore index 3f1996eb74..fea24ed341 100644 --- a/.gitignore +++ b/.gitignore @@ -97,4 +97,7 @@ venv app # IDE files -.vscode \ No newline at end of file +.vscode + +# mac files +**.DS_Store \ No newline at end of file diff --git a/autotest/test_copy.py b/autotest/test_copy.py index ee8cdf9264..476a560ab5 100644 --- a/autotest/test_copy.py +++ b/autotest/test_copy.py @@ -1,5 +1,6 @@ """Test copying of flopy objects. """ + import copy import inspect diff --git a/autotest/test_geospatial_util.py b/autotest/test_geospatial_util.py index 2d0508c1ed..d029334fd0 100644 --- a/autotest/test_geospatial_util.py +++ b/autotest/test_geospatial_util.py @@ -397,7 +397,7 @@ def test_polygon_collection(polygon, poly_w_hole, multipolygon): assert is_equal, "GeoSpatialCollection Polygon conversion error" -@requires_pkg("shapely", "geojson") +@requires_pkg("shapely", "geojson", "geopandas") def test_point_collection(point, multipoint): col = [Shape.from_geojson(point), Shape.from_geojson(multipoint)] @@ -427,7 +427,7 @@ def test_point_collection(point, multipoint): ) -@requires_pkg("shapely", "geojson") +@requires_pkg("shapely", "geojson", "geopandas") def test_linestring_collection(linestring, multilinestring): col = [Shape.from_geojson(linestring), Shape.from_geojson(multilinestring)] @@ -457,7 +457,7 @@ def test_linestring_collection(linestring, multilinestring): ) -@requires_pkg("shapely", "geojson") +@requires_pkg("shapely", "geojson", "geopandas") def test_mixed_collection( polygon, poly_w_hole, diff --git a/autotest/test_get_modflow.py b/autotest/test_get_modflow.py index 3228dce218..ca161a04d7 100644 --- a/autotest/test_get_modflow.py +++ b/autotest/test_get_modflow.py @@ -1,4 +1,5 @@ """Test get-modflow utility.""" + import os import platform import sys @@ -20,9 +21,11 @@ flopy_dir = get_project_root_path() get_modflow_script = flopy_dir / "flopy" / "utils" / "get_modflow.py" bindir_options = { - "flopy": Path(expandvars(r"%LOCALAPPDATA%\flopy")) / "bin" - if system() == "Windows" - else Path.home() / ".local" / "share" / "flopy" / "bin", + "flopy": ( + Path(expandvars(r"%LOCALAPPDATA%\flopy")) / "bin" + if system() == "Windows" + else Path.home() / ".local" / "share" / "flopy" / "bin" + ), "python": Path(sys.prefix) / ("Scripts" if system() == "Windows" else "bin"), "home": Path.home() / ".local" / "bin", diff --git a/autotest/test_grid.py b/autotest/test_grid.py index 523441514f..d6c89f2334 100644 --- a/autotest/test_grid.py +++ b/autotest/test_grid.py @@ -4,7 +4,6 @@ from contextlib import nullcontext from warnings import warn -import geopandas import matplotlib import numpy as np import pytest @@ -14,11 +13,11 @@ from matplotlib import pyplot as plt from modflow_devtools.markers import requires_exe, requires_pkg from modflow_devtools.misc import has_pkg -from pytest_cases import parametrize_with_cases from flopy.discretization import StructuredGrid, UnstructuredGrid, VertexGrid from flopy.mf6 import MFSimulation from flopy.modflow import Modflow, ModflowDis +from flopy.utils import import_optional_dependency from flopy.utils.crs import get_authority_crs from flopy.utils.cvfdutil import gridlist_to_disv_gridprops, to_cvfd from flopy.utils.triangle import Triangle @@ -1090,7 +1089,17 @@ def test_voronoi_vertex_grid(function_tmpdir): @flaky @requires_exe("triangle") @requires_pkg("shapely", "scipy") -@parametrize_with_cases("grid_info", cases=GridCases, prefix="voronoi") +@pytest.mark.parametrize( + "grid_info", + [ + GridCases.voronoi_polygon(), + GridCases.voronoi_rectangle(), + GridCases.voronoi_circle(), + GridCases.voronoi_nested_circles(), + GridCases.voronoi_polygons(), + GridCases.voronoi_many_polygons(), + ], +) def test_voronoi_grid(request, function_tmpdir, grid_info): name = ( request.node.name.replace("/", "_") @@ -1239,13 +1248,11 @@ def test_unstructured_neighbors(unstructured_grid): queen_neighbors = unstructured_grid.neighbors( 5, method="queen", reset=True ) - assert np.allclose( - queen_neighbors, [0, 10, 1, 6, 11, 2, 3, 7, 8, 12, 13] - ) + assert np.allclose(queen_neighbors, [0, 10, 1, 6, 11, 2, 3, 7, 8, 12, 13]) -@parametrize_with_cases("grid", cases=GridCases, prefix="structured_cbd") -def test_structured_ncb_thickness(grid): +def test_structured_ncb_thickness(): + grid = GridCases.structured_cbd_small() thickness = grid.cell_thickness assert thickness.shape[0] == grid.nlay + np.count_nonzero( @@ -1267,7 +1274,9 @@ def test_structured_ncb_thickness(grid): ), "saturated_thickness is not properly indexing confining beds" -@parametrize_with_cases("grid", cases=GridCases, prefix="unstructured") +@pytest.mark.parametrize( + "grid", [GridCases.unstructured_small(), GridCases.unstructured_medium()] +) def test_unstructured_iverts(grid): iverts = grid.iverts assert not any( @@ -1275,21 +1284,30 @@ def test_unstructured_iverts(grid): ), "None type should not be returned in iverts list" -@parametrize_with_cases("grid", cases=GridCases, prefix="structured") +@pytest.mark.parametrize( + "grid", [GridCases.structured_small(), GridCases.structured_cbd_small()] +) def test_get_lni_structured(grid): for nn in range(0, grid.nnodes): layer, i = grid.get_lni([nn])[0] assert layer * grid.ncpl + i == nn -@parametrize_with_cases("grid", cases=GridCases, prefix="vertex") +@pytest.mark.parametrize( + "grid", + [ + GridCases.vertex_small(), + ], +) def test_get_lni_vertex(grid): for nn in range(0, grid.nnodes): layer, i = grid.get_lni([nn])[0] assert layer * grid.ncpl + i == nn -@parametrize_with_cases("grid", cases=GridCases, prefix="unstructured") +@pytest.mark.parametrize( + "grid", [GridCases.unstructured_small(), GridCases.unstructured_medium()] +) def test_get_lni_unstructured(grid): for nn in range(0, grid.nnodes): layer, i = grid.get_lni([nn])[0] @@ -1344,11 +1362,8 @@ def test_unstructured_convert(unstructured_grid): @requires_pkg("geopandas") def test_geo_dataframe(structured_grid, vertex_grid, unstructured_grid): - grids = ( - structured_grid, - vertex_grid, - unstructured_grid - ) + geopandas = import_optional_dependency("geopandas") + grids = (structured_grid, vertex_grid, unstructured_grid) for grid in grids: gdf = grid.geo_dataframe diff --git a/autotest/test_grid_cases.py b/autotest/test_grid_cases.py index 1db81a37e4..00c778a29c 100644 --- a/autotest/test_grid_cases.py +++ b/autotest/test_grid_cases.py @@ -1,3 +1,6 @@ +from pathlib import Path +from tempfile import TemporaryDirectory + import numpy as np from flopy.discretization import StructuredGrid, UnstructuredGrid, VertexGrid @@ -6,7 +9,8 @@ class GridCases: - def structured_small(self): + @staticmethod + def structured_small(): nlay, nrow, ncol = 3, 2, 3 delc = 1.0 * np.ones(nrow, dtype=float) delr = 1.0 * np.ones(ncol, dtype=float) @@ -24,10 +28,11 @@ def structured_small(self): delr=delr, top=top, botm=botm, - idomain=idomain + idomain=idomain, ) - def structured_cbd_small(self): + @staticmethod + def structured_cbd_small(): nlay = 3 nrow = ncol = 15 laycbd = np.array([1, 2, 0], dtype=int) @@ -61,7 +66,8 @@ def structured_cbd_small(self): laycbd=laycbd, ) - def vertex_small(self): + @staticmethod + def vertex_small(): nlay, ncpl = 3, 5 vertices = [ [0, 0.0, 3.0], @@ -96,10 +102,11 @@ def vertex_small(self): cell2d=cell2d, top=top, botm=botm, - idomain=idomain + idomain=idomain, ) - def unstructured_small(self): + @staticmethod + def unstructured_small(): nlay = 3 ncpl = [5, 5, 5] vertices = [ @@ -164,10 +171,11 @@ def unstructured_small(self): ncpl=ncpl, top=top.flatten(), botm=botm.flatten(), - idomain=idomain.flatten() + idomain=idomain.flatten(), ) - def unstructured_medium(self): + @staticmethod + def unstructured_medium(): iverts = [ [4, 3, 2, 1, 0, None], [7, 0, 1, 6, 5, None], @@ -211,7 +219,8 @@ def unstructured_medium(self): return UnstructuredGrid(verts, iverts, ncpl=[len(iverts)]) - def voronoi_polygon(self, function_tmpdir): + @staticmethod + def voronoi_polygon(): ncpl = 3803 domain = [ [1831.381546, 6335.543757], @@ -237,18 +246,20 @@ def voronoi_polygon(self, function_tmpdir): max_area = 100.0**2 angle = 30 - tri = Triangle( - maximum_area=max_area, angle=angle, model_ws=str(function_tmpdir) - ) - tri.add_polygon(poly) - tri.build(verbose=False) - vor = VoronoiGrid(tri) - gridprops = vor.get_gridprops_vertexgrid() - grid = VertexGrid(**gridprops, nlay=1) + with TemporaryDirectory() as tempdir: + tri = Triangle( + maximum_area=max_area, angle=angle, model_ws=str(Path(tempdir)) + ) + tri.add_polygon(poly) + tri.build(verbose=False) + vor = VoronoiGrid(tri) + gridprops = vor.get_gridprops_vertexgrid() + grid = VertexGrid(**gridprops, nlay=1) return ncpl, vor, gridprops, grid - def voronoi_rectangle(self, function_tmpdir): + @staticmethod + def voronoi_rectangle(): ncpl = 1679 xmin = 0.0 xmax = 2.0 @@ -260,18 +271,20 @@ def voronoi_rectangle(self, function_tmpdir): max_area = 0.001 angle = 30 - tri = Triangle( - maximum_area=max_area, angle=angle, model_ws=str(function_tmpdir) - ) - tri.add_polygon(poly) - tri.build(verbose=False) - vor = VoronoiGrid(tri) - gridprops = vor.get_gridprops_vertexgrid() - grid = VertexGrid(**gridprops, nlay=1) + with TemporaryDirectory() as tempdir: + tri = Triangle( + maximum_area=max_area, angle=angle, model_ws=str(Path(tempdir)) + ) + tri.add_polygon(poly) + tri.build(verbose=False) + vor = VoronoiGrid(tri) + gridprops = vor.get_gridprops_vertexgrid() + grid = VertexGrid(**gridprops, nlay=1) return ncpl, vor, gridprops, grid - def voronoi_circle(self, function_tmpdir): + @staticmethod + def voronoi_circle(): ncpl = 538 theta = np.arange(0.0, 2 * np.pi, 0.2) radius = 100.0 @@ -281,18 +294,20 @@ def voronoi_circle(self, function_tmpdir): max_area = 50 angle = 30 - tri = Triangle( - maximum_area=max_area, angle=angle, model_ws=str(function_tmpdir) - ) - tri.add_polygon(poly) - tri.build(verbose=False) - vor = VoronoiGrid(tri) - gridprops = vor.get_gridprops_vertexgrid() - grid = VertexGrid(**gridprops, nlay=1) + with TemporaryDirectory() as tempdir: + tri = Triangle( + maximum_area=max_area, angle=angle, model_ws=str(Path(tempdir)) + ) + tri.add_polygon(poly) + tri.build(verbose=False) + vor = VoronoiGrid(tri) + gridprops = vor.get_gridprops_vertexgrid() + grid = VertexGrid(**gridprops, nlay=1) return ncpl, vor, gridprops, grid - def voronoi_nested_circles(self, function_tmpdir): + @staticmethod + def voronoi_nested_circles(): ncpl = 300 theta = np.arange(0.0, 2 * np.pi, 0.2) @@ -311,86 +326,92 @@ def voronoi_nested_circles(self, function_tmpdir): max_area = 100 angle = 30 - tri = Triangle( - maximum_area=max_area, angle=angle, model_ws=str(function_tmpdir) - ) - for poly in polys: - tri.add_polygon(poly) - tri.add_hole((25, 25)) - tri.build(verbose=False) - vor = VoronoiGrid(tri) - gridprops = vor.get_gridprops_vertexgrid() - grid = VertexGrid(**gridprops, nlay=1) + with TemporaryDirectory() as tempdir: + tri = Triangle( + maximum_area=max_area, angle=angle, model_ws=str(Path(tempdir)) + ) + for poly in polys: + tri.add_polygon(poly) + tri.add_hole((25, 25)) + tri.build(verbose=False) + vor = VoronoiGrid(tri) + gridprops = vor.get_gridprops_vertexgrid() + grid = VertexGrid(**gridprops, nlay=1) return ncpl, vor, gridprops, grid - def voronoi_polygons(self, function_tmpdir): + @staticmethod + def voronoi_polygons(): ncpl = 410 active_domain = [(0, 0), (100, 0), (100, 100), (0, 100)] area1 = [(10, 10), (40, 10), (40, 40), (10, 40)] area2 = [(60, 60), (80, 60), (80, 80), (60, 80)] - tri = Triangle(angle=30, model_ws=str(function_tmpdir)) - tri.add_polygon(active_domain) - tri.add_polygon(area1) - tri.add_polygon(area2) - tri.add_region( - (1, 1), 0, maximum_area=100 - ) # point inside active domain - tri.add_region((11, 11), 1, maximum_area=10) # point inside area1 - tri.add_region((61, 61), 2, maximum_area=3) # point inside area2 - tri.build(verbose=False) - vor = VoronoiGrid(tri) - gridprops = vor.get_gridprops_vertexgrid() - grid = VertexGrid(**gridprops, nlay=1) + + with TemporaryDirectory() as tempdir: + tri = Triangle(angle=30, model_ws=str(Path(tempdir))) + tri.add_polygon(active_domain) + tri.add_polygon(area1) + tri.add_polygon(area2) + tri.add_region( + (1, 1), 0, maximum_area=100 + ) # point inside active domain + tri.add_region((11, 11), 1, maximum_area=10) # point inside area1 + tri.add_region((61, 61), 2, maximum_area=3) # point inside area2 + tri.build(verbose=False) + vor = VoronoiGrid(tri) + gridprops = vor.get_gridprops_vertexgrid() + grid = VertexGrid(**gridprops, nlay=1) return ncpl, vor, gridprops, grid - def voronoi_many_polygons(self, function_tmpdir): + @staticmethod + def voronoi_many_polygons(): ncpl = 1305 active_domain = [(0, 0), (100, 0), (100, 100), (0, 100)] area1 = [(10, 10), (40, 10), (40, 40), (10, 40)] area2 = [(70, 70), (90, 70), (90, 90), (70, 90)] - tri = Triangle(angle=30, model_ws=str(function_tmpdir)) - - # requirement that active_domain is first polygon to be added - tri.add_polygon(active_domain) - - # requirement that any holes be added next - theta = np.arange(0.0, 2 * np.pi, 0.2) - radius = 10.0 - x = radius * np.cos(theta) + 50.0 - y = radius * np.sin(theta) + 70.0 - circle_poly0 = [(x, y) for x, y in zip(x, y)] - tri.add_polygon(circle_poly0) - tri.add_hole((50, 70)) - - # Add a polygon to force cells to conform to it - theta = np.arange(0.0, 2 * np.pi, 0.2) - radius = 10.0 - x = radius * np.cos(theta) + 70.0 - y = radius * np.sin(theta) + 20.0 - circle_poly1 = [(x, y) for x, y in zip(x, y)] - tri.add_polygon(circle_poly1) - # tri.add_hole((70, 20)) - - # add line through domain to force conforming cells - line = [(x, x) for x in np.linspace(11, 89, 100)] - tri.add_polygon(line) - - # then regions and other polygons should follow - tri.add_polygon(area1) - tri.add_polygon(area2) - tri.add_region( - (1, 1), 0, maximum_area=100 - ) # point inside active domain - tri.add_region((11, 11), 1, maximum_area=10) # point inside area1 - tri.add_region((70, 70), 2, maximum_area=1) # point inside area2 - - tri.build(verbose=False) - - vor = VoronoiGrid(tri) - gridprops = vor.get_gridprops_vertexgrid() - grid = VertexGrid(**gridprops, nlay=1) + with TemporaryDirectory() as tempdir: + tri = Triangle(angle=30, model_ws=str(Path(tempdir))) + + # requirement that active_domain is first polygon to be added + tri.add_polygon(active_domain) + + # requirement that any holes be added next + theta = np.arange(0.0, 2 * np.pi, 0.2) + radius = 10.0 + x = radius * np.cos(theta) + 50.0 + y = radius * np.sin(theta) + 70.0 + circle_poly0 = [(x, y) for x, y in zip(x, y)] + tri.add_polygon(circle_poly0) + tri.add_hole((50, 70)) + + # Add a polygon to force cells to conform to it + theta = np.arange(0.0, 2 * np.pi, 0.2) + radius = 10.0 + x = radius * np.cos(theta) + 70.0 + y = radius * np.sin(theta) + 20.0 + circle_poly1 = [(x, y) for x, y in zip(x, y)] + tri.add_polygon(circle_poly1) + # tri.add_hole((70, 20)) + + # add line through domain to force conforming cells + line = [(x, x) for x in np.linspace(11, 89, 100)] + tri.add_polygon(line) + + # then regions and other polygons should follow + tri.add_polygon(area1) + tri.add_polygon(area2) + tri.add_region( + (1, 1), 0, maximum_area=100 + ) # point inside active domain + tri.add_region((11, 11), 1, maximum_area=10) # point inside area1 + tri.add_region((70, 70), 2, maximum_area=1) # point inside area2 + + tri.build(verbose=False) + + vor = VoronoiGrid(tri) + gridprops = vor.get_gridprops_vertexgrid() + grid = VertexGrid(**gridprops, nlay=1) return ncpl, vor, gridprops, grid diff --git a/autotest/test_mfnwt.py b/autotest/test_mfnwt.py index 0366dc3529..b45f0fd116 100644 --- a/autotest/test_mfnwt.py +++ b/autotest/test_mfnwt.py @@ -24,12 +24,7 @@ def analytical_water_table_solution(h1, h2, z, R, K, L, x): h = np.zeros((x.shape[0]), float) b1 = h1 - z b2 = h2 - z - h = ( - np.sqrt( - b1**2 - (x / L) * (b1**2 - b2**2) + (R * x / K) * (L - x) - ) - + z - ) + h = np.sqrt(b1**2 - (x / L) * (b1**2 - b2**2) + (R * x / K) * (L - x)) + z return h diff --git a/autotest/test_mnw.py b/autotest/test_mnw.py index f50036dcdb..20ec79188c 100644 --- a/autotest/test_mnw.py +++ b/autotest/test_mnw.py @@ -349,12 +349,16 @@ def test_mnw2_create_file(function_tmpdir, dataframe): wellids[i], nnodes=nlayers[i], nper=len(stress_period_data.index), - node_data=node_data.to_records(index=False) - if not dataframe - else node_data, - stress_period_data=stress_period_data.to_records(index=False) - if not dataframe - else stress_period_data, + node_data=( + node_data.to_records(index=False) + if not dataframe + else node_data + ), + stress_period_data=( + stress_period_data.to_records(index=False) + if not dataframe + else stress_period_data + ), ) wells.append(wl) diff --git a/autotest/test_mp6.py b/autotest/test_mp6.py index 545ffe70d1..e9f3e59b98 100644 --- a/autotest/test_mp6.py +++ b/autotest/test_mp6.py @@ -1,14 +1,14 @@ import os import shutil +from pprint import pformat +from types import SimpleNamespace import matplotlib.pyplot as plt import numpy as np import pytest from autotest.conftest import get_example_data_path -from autotest.test_mp6_cases import Mp6Cases1, Mp6Cases2 from modflow_devtools.markers import requires_exe, requires_pkg from numpy.lib.recfunctions import repack_fields -from pytest_cases import parametrize_with_cases import flopy from flopy.discretization import StructuredGrid @@ -534,15 +534,126 @@ def eval_timeseries(file): ) +def get_mf2005_model(name, ws, alt=False): + nrow = 3 + ncol = 4 + nlay = 2 + nper = 1 + l1_ibound = np.array( + [[[-1, -1, -1, -1], [-1, 1, 1, -1], [-1, -1, -1, -1]]] + ) + l2_ibound = np.ones((1, nrow, ncol)) + l2_ibound_alt = np.ones((1, nrow, ncol)) + l2_ibound_alt[0, 0, 0] = 0 + bt1 = np.ones((1, nrow, ncol)) + 5 + bt2 = np.ones((1, nrow, ncol)) + 3 + ctx = SimpleNamespace( + nrow=nrow, + ncol=ncol, + nlay=nlay, + nper=nper, + l1_ibound=l1_ibound, + l2_ibound=l2_ibound, + l2_ibound_alt=l2_ibound_alt, + ibound=np.concatenate( + (l1_ibound, l2_ibound_alt if alt else l2_ibound), axis=0 + ), + laytype=[0, 0 if alt else 1], + hnoflow=-888, + hdry=-777, + top=np.zeros((1, nrow, ncol)) + 10, + bt1=bt1, + bt2=bt2, + botm=np.concatenate((bt1, bt2), axis=0), + ipakcb=740, + ) + + # create modflow model + m = flopy.modflow.Modflow( + modelname=name + ("alt" if alt else ""), + namefile_ext="nam", + version="mf2005", + exe_name="mf2005", + model_ws=ws, + ) + + # dis + dis = flopy.modflow.ModflowDis( + model=m, + nlay=nlay, + nrow=nrow, + ncol=ncol, + nper=nper, + delr=1.0, + delc=1.0, + laycbd=0, + top=ctx.top, + botm=ctx.botm, + perlen=1, + nstp=1, + tsmult=1, + steady=True, + ) + + # bas + bas = flopy.modflow.ModflowBas( + model=m, + ibound=ctx.ibound, + strt=10, + ifrefm=True, + ixsec=False, + ichflg=False, + stoper=None, + hnoflo=ctx.hnoflow, + extension="bas", + unitnumber=None, + filenames=None, + ) + # lpf + lpf = flopy.modflow.ModflowLpf( + model=m, + ipakcb=ctx.ipakcb, + laytyp=ctx.laytype, + hk=10, + vka=10, + hdry=ctx.hdry, + ) + + # well + wel = flopy.modflow.ModflowWel( + model=m, + ipakcb=ctx.ipakcb, + stress_period_data={0: [[1, 1, 1, -5.0]]}, + ) + + flopy.modflow.ModflowPcg( + m, hclose=0.001, rclose=0.001, mxiter=150, iter1=30 + ) + + ocspd = {} + for p in range(nper): + ocspd[(p, 0)] = ["save head", "save budget"] + ocspd[(0, 0)] = [ + "save head", + "save budget", + ] # pretty sure it just uses the last for everything + flopy.modflow.ModflowOc(m, stress_period_data=ocspd) + + return m, ctx + + @requires_exe("mf2005", "mp6") -@parametrize_with_cases("ml", cases=Mp6Cases1) -def test_data_pass_no_modflow(ml): +@pytest.mark.parametrize("alt", [True, False]) +def test_data_pass_no_modflow(function_tmpdir, alt): """ test that user can pass and create a mp model without an accompanying modflow model - Returns - ------- - """ + + ml, ctx = get_mf2005_model("data_pass", function_tmpdir, alt) + ml.write_input() + success, buff = ml.run_model() + assert success, pformat(buff) + dis_file = f"{ml.name}.dis" bud_file = f"{ml.name}.cbc" hd_file = f"{ml.name}.hds" @@ -568,30 +679,30 @@ def test_data_pass_no_modflow(ml): assert mp.budget_file == bud_file assert mp.dis_file == dis_file assert mp.nrow_ncol_nlay_nper == ( - Mp6Cases1.nrow, - Mp6Cases1.ncol, - Mp6Cases1.nlay, - Mp6Cases1.nper, + ctx.nrow, + ctx.ncol, + ctx.nlay, + ctx.nper, ) mpbas = flopy.modpath.Modpath6Bas( mp, - hnoflo=Mp6Cases1.hnoflow, - hdry=Mp6Cases1.hdry, + hnoflo=ctx.hnoflow, + hdry=ctx.hdry, def_face_ct=0, bud_label=None, def_iface=None, - laytyp=Mp6Cases1.laytype[ml.name], - ibound=Mp6Cases1.ibound[ml.name], + laytyp=ctx.laytype, + ibound=ctx.ibound, prsity=0.30, prsityCB=0.30, extension="mpbas", unitnumber=86, ) # test layertype is created correctly - assert np.isclose(mpbas.laytyp.array, Mp6Cases1.laytype[ml.name]).all() + assert np.isclose(mpbas.laytyp.array, ctx.laytype).all() # test ibound is pulled from modflow model - assert np.isclose(mpbas.ibound.array, Mp6Cases1.ibound[ml.name]).all() + assert np.isclose(mpbas.ibound.array, ctx.ibound).all() sim = flopy.modpath.Modpath6Sim(model=mp) stl = flopy.modpath.mp6sim.StartingLocationsFile(model=mp) @@ -609,14 +720,17 @@ def test_data_pass_no_modflow(ml): @requires_exe("mf2005", "mp6") -@parametrize_with_cases("ml", cases=Mp6Cases1) -def test_data_pass_with_modflow(ml): +@pytest.mark.parametrize("alt", [True, False]) +def test_data_pass_with_modflow(function_tmpdir, alt): """ test that user specified head files etc. are preferred over files from the modflow model - Returns - ------- - """ + + ml, ctx = get_mf2005_model("data_pass", function_tmpdir, alt) + ml.write_input() + success, buff = ml.run_model() + assert success, pformat(buff) + dis_file = f"{ml.name}.dis" bud_file = f"{ml.name}.cbc" hd_file = f"{ml.name}.hds" @@ -642,21 +756,21 @@ def test_data_pass_with_modflow(ml): assert mp.budget_file == bud_file assert mp.dis_file == dis_file assert mp.nrow_ncol_nlay_nper == ( - Mp6Cases1.nrow, - Mp6Cases1.ncol, - Mp6Cases1.nlay, - Mp6Cases1.nper, + ctx.nrow, + ctx.ncol, + ctx.nlay, + ctx.nper, ) mpbas = flopy.modpath.Modpath6Bas( mp, - hnoflo=Mp6Cases1.hnoflow, - hdry=Mp6Cases1.hdry, + hnoflo=ctx.hnoflow, + hdry=ctx.hdry, def_face_ct=0, bud_label=None, def_iface=None, - laytyp=Mp6Cases1.laytype[ml.name], - ibound=Mp6Cases1.ibound[ml.name], + laytyp=ctx.laytype, + ibound=ctx.ibound, prsity=0.30, prsityCB=0.30, extension="mpbas", @@ -664,9 +778,9 @@ def test_data_pass_with_modflow(ml): ) # test layertype is created correctly! - assert np.isclose(mpbas.laytyp.array, Mp6Cases1.laytype[ml.name]).all() + assert np.isclose(mpbas.laytyp.array, ctx.laytype).all() # test ibound is pulled from modflow model - assert np.isclose(mpbas.ibound.array, Mp6Cases1.ibound[ml.name]).all() + assert np.isclose(mpbas.ibound.array, ctx.ibound).all() sim = flopy.modpath.Modpath6Sim(model=mp) stl = flopy.modpath.mp6sim.StartingLocationsFile(model=mp) @@ -684,14 +798,17 @@ def test_data_pass_with_modflow(ml): @requires_exe("mf2005", "mp6") -@parametrize_with_cases("ml", cases=Mp6Cases1) -def test_just_from_model(ml): +@pytest.mark.parametrize("alt", [True, False]) +def test_just_from_model(function_tmpdir, alt): """ test that user specified head files etc. are preferred over files from the modflow model - Returns - ------- - """ + + ml, ctx = get_mf2005_model("data_pass", function_tmpdir, alt) + ml.write_input() + success, buff = ml.run_model() + assert success, pformat(buff) + dis_file = f"{ml.name}.dis" bud_file = f"{ml.name}.cbc" hd_file = f"{ml.name}.hds" @@ -717,16 +834,16 @@ def test_just_from_model(ml): assert mp.budget_file == bud_file assert mp.dis_file == dis_file assert mp.nrow_ncol_nlay_nper == ( - Mp6Cases1.nrow, - Mp6Cases1.ncol, - Mp6Cases1.nlay, - Mp6Cases1.nper, + ctx.nrow, + ctx.ncol, + ctx.nlay, + ctx.nper, ) mpbas = flopy.modpath.Modpath6Bas( mp, - hnoflo=Mp6Cases1.hnoflow, - hdry=Mp6Cases1.hdry, + hnoflo=ctx.hnoflow, + hdry=ctx.hdry, def_face_ct=0, bud_label=None, def_iface=None, @@ -738,10 +855,10 @@ def test_just_from_model(ml): unitnumber=86, ) # test layertype is created correctly! - assert np.isclose(mpbas.laytyp.array, Mp6Cases1.laytype[ml.name]).all() + assert np.isclose(mpbas.laytyp.array, ctx.laytype).all() # test ibound is pulled from modflow model - assert np.isclose(mpbas.ibound.array, Mp6Cases1.ibound[ml.name]).all() + assert np.isclose(mpbas.ibound.array, ctx.ibound).all() sim = flopy.modpath.Modpath6Sim(model=mp) stl = flopy.modpath.mp6sim.StartingLocationsFile(model=mp) @@ -758,9 +875,9 @@ def test_just_from_model(ml): assert success -def make_mp_model(nm, m, ws, use_pandas): +def get_mp6_model(m, ctx, name, ws, use_pandas): mp = flopy.modpath.Modpath6( - modelname=nm, + modelname=name, simfile_ext="mpsim", namefile_ext="mpnam", version="modpath", @@ -778,13 +895,13 @@ def make_mp_model(nm, m, ws, use_pandas): mpbas = flopy.modpath.Modpath6Bas( mp, - hnoflo=Mp6Cases2.hnoflow, - hdry=Mp6Cases2.hdry, + hnoflo=ctx.hnoflow, + hdry=ctx.hdry, def_face_ct=0, bud_label=None, def_iface=None, - laytyp=Mp6Cases2.laytype["mf1"], - ibound=Mp6Cases2.ibound["mf1"], + laytyp=ctx.laytype, + ibound=ctx.ibound, prsity=0.30, prsityCB=0.30, extension="mpbas", @@ -803,31 +920,30 @@ def make_mp_model(nm, m, ws, use_pandas): stldata[1]["xloc0"] = 0.1 stldata[1]["yloc0"] = 0.2 stl.data = stldata + return mp @requires_exe("mf2005") -@parametrize_with_cases("ml", cases=Mp6Cases2) -def test_mp_wpandas_wo_pandas(ml): - """ - test that user can pass and create a mp model without an accompanying modflow model - Returns - ------- - - """ +def test_mp_pandas(function_tmpdir): + name = "mp_pandas" + ml, ctx = get_mf2005_model(name, function_tmpdir) + ml.write_input() + success, _ = ml.run_model() + assert success - mp_pandas = make_mp_model("pandas", ml, ml.model_ws, use_pandas=True) - mp_no_pandas = make_mp_model( - "no_pandas", ml, ml.model_ws, use_pandas=False + mp_pandas = get_mp6_model(ml, ctx, name, function_tmpdir, use_pandas=True) + mp_no_pandas = get_mp6_model( + ml, ctx, name, function_tmpdir, use_pandas=False ) mp_no_pandas.write_input() success, buff = mp_no_pandas.run_model() - assert success + assert success, pformat(buff) mp_pandas.write_input() success, buff = mp_pandas.run_model() - assert success + assert success, pformat(buff) # read the two files and ensure they are identical with open(mp_pandas.get_package("loc").fn_path) as f: diff --git a/autotest/test_mp6_cases.py b/autotest/test_mp6_cases.py deleted file mode 100644 index ceae0a672c..0000000000 --- a/autotest/test_mp6_cases.py +++ /dev/null @@ -1,297 +0,0 @@ -import numpy as np - -import flopy - - -class Mp6Cases1: - nrow = 3 - ncol = 4 - nlay = 2 - nper = 1 - l1_ibound = np.array( - [[[-1, -1, -1, -1], [-1, 1, 1, -1], [-1, -1, -1, -1]]] - ) - l2_ibound = np.ones((1, nrow, ncol)) - l2_ibound_alt = np.ones((1, nrow, ncol)) - l2_ibound_alt[0, 0, 0] = 0 - ibound = { - "mf1": np.concatenate( - (l1_ibound, l2_ibound), axis=0 - ), # constant heads around model on top row - "mf2": np.concatenate( - (l1_ibound, l2_ibound_alt), axis=0 - ), # constant heads around model on top row - } - laytype = {"mf1": [0, 1], "mf2": [0, 0]} - hnoflow = -888 - hdry = -777 - top = np.zeros((1, nrow, ncol)) + 10 - bt1 = np.ones((1, nrow, ncol)) + 5 - bt2 = np.ones((1, nrow, ncol)) + 3 - botm = np.concatenate((bt1, bt2), axis=0) - ipakcb = 740 - - def case_1(self, function_tmpdir): - m = flopy.modflow.Modflow( - modelname="mf1", - namefile_ext="nam", - version="mf2005", - exe_name="mf2005", - model_ws=function_tmpdir, - ) - - # dis - dis = flopy.modflow.ModflowDis( - model=m, - nlay=self.nlay, - nrow=self.nrow, - ncol=self.ncol, - nper=self.nper, - delr=1.0, - delc=1.0, - laycbd=0, - top=self.top, - botm=self.botm, - perlen=1, - nstp=1, - tsmult=1, - steady=True, - ) - - # bas - bas = flopy.modflow.ModflowBas( - model=m, - ibound=self.ibound[m.name], - strt=10, - ifrefm=True, - ixsec=False, - ichflg=False, - stoper=None, - hnoflo=self.hnoflow, - extension="bas", - unitnumber=None, - filenames=None, - ) - # lpf - lpf = flopy.modflow.ModflowLpf( - model=m, - ipakcb=self.ipakcb, - laytyp=self.laytype[m.name], - hk=10, - vka=10, - hdry=self.hdry, - ) - - # well - wel = flopy.modflow.ModflowWel( - model=m, - ipakcb=self.ipakcb, - stress_period_data={0: [[1, 1, 1, -5.0]]}, - ) - - flopy.modflow.ModflowPcg( - m, - hclose=0.001, - rclose=0.001, - mxiter=150, - iter1=30, - ) - - ocspd = {} - for p in range(self.nper): - ocspd[(p, 0)] = ["save head", "save budget"] - ocspd[(0, 0)] = [ - "save head", - "save budget", - ] # pretty sure it just uses the last for everything - flopy.modflow.ModflowOc(m, stress_period_data=ocspd) - - m.write_input() - success, buff = m.run_model() - assert success - return m - - def case_2(self, function_tmpdir): - m = flopy.modflow.Modflow( - modelname="mf2", - namefile_ext="nam", - version="mf2005", - exe_name="mf2005", - model_ws=function_tmpdir, - ) - - # dis - dis = flopy.modflow.ModflowDis( - model=m, - nlay=self.nlay, - nrow=self.nrow, - ncol=self.ncol, - nper=self.nper, - delr=1.0, - delc=1.0, - laycbd=0, - top=self.top, - botm=self.botm, - perlen=1, - nstp=1, - tsmult=1, - steady=True, - ) - - # bas - bas = flopy.modflow.ModflowBas( - model=m, - ibound=self.ibound[m.name], - strt=10, - ifrefm=True, - ixsec=False, - ichflg=False, - stoper=None, - hnoflo=self.hnoflow, - extension="bas", - unitnumber=None, - filenames=None, - ) - # lpf - lpf = flopy.modflow.ModflowLpf( - model=m, - ipakcb=self.ipakcb, - laytyp=self.laytype[m.name], - hk=10, - vka=10, - hdry=self.hdry, - ) - - # well - wel = flopy.modflow.ModflowWel( - model=m, - ipakcb=self.ipakcb, - stress_period_data={0: [[1, 1, 1, -5.0]]}, - ) - - flopy.modflow.ModflowPcg( - m, - hclose=0.001, - rclose=0.001, - mxiter=150, - iter1=30, - ) - - ocspd = {} - for p in range(self.nper): - ocspd[(p, 0)] = ["save head", "save budget"] - ocspd[(0, 0)] = [ - "save head", - "save budget", - ] # pretty sure it just uses the last for everything - flopy.modflow.ModflowOc(m, stress_period_data=ocspd) - - m.write_input() - success, buff = m.run_model() - assert success - return m - - -class Mp6Cases2: - nrow = 3 - ncol = 4 - nlay = 2 - nper = 1 - l1_ibound = np.array( - [[[-1, -1, -1, -1], [-1, 1, 1, -1], [-1, -1, -1, -1]]] - ) - l2_ibound = np.ones((1, nrow, ncol)) - l2_ibound_alt = np.ones((1, nrow, ncol)) - l2_ibound_alt[0, 0, 0] = 0 - ibound = { - "mf1": np.concatenate( - (l1_ibound, l2_ibound), axis=0 - ), # constant heads around model on top row - } - laytype = { - "mf1": [0, 1], - } - hnoflow = -888 - hdry = -777 - top = np.zeros((1, nrow, ncol)) + 10 - bt1 = np.ones((1, nrow, ncol)) + 5 - bt2 = np.ones((1, nrow, ncol)) + 3 - botm = np.concatenate((bt1, bt2), axis=0) - ipakcb = 740 - - def case_1(self, function_tmpdir): - m = flopy.modflow.Modflow( - modelname=f"mf1", - namefile_ext="nam", - version="mf2005", - exe_name="mf2005", - model_ws=function_tmpdir, - ) - - # dis - dis = flopy.modflow.ModflowDis( - model=m, - nlay=self.nlay, - nrow=self.nrow, - ncol=self.ncol, - nper=self.nper, - delr=1.0, - delc=1.0, - laycbd=0, - top=self.top, - botm=self.botm, - perlen=1, - nstp=1, - tsmult=1, - steady=True, - ) - - # bas - bas = flopy.modflow.ModflowBas( - model=m, - ibound=self.ibound[m.name], - strt=10, - ifrefm=True, - ixsec=False, - ichflg=False, - stoper=None, - hnoflo=self.hnoflow, - extension="bas", - unitnumber=None, - filenames=None, - ) - # lpf - lpf = flopy.modflow.ModflowLpf( - model=m, - ipakcb=self.ipakcb, - laytyp=self.laytype[m.name], - hk=10, - vka=10, - hdry=self.hdry, - ) - - # well - wel = flopy.modflow.ModflowWel( - model=m, - ipakcb=self.ipakcb, - stress_period_data={0: [[1, 1, 1, -5.0]]}, - ) - - flopy.modflow.ModflowPcg( - m, hclose=0.001, rclose=0.001, mxiter=150, iter1=30 - ) - - ocspd = {} - for p in range(self.nper): - ocspd[(p, 0)] = ["save head", "save budget"] - ocspd[(0, 0)] = [ - "save head", - "save budget", - ] # pretty sure it just uses the last for everything - flopy.modflow.ModflowOc(m, stress_period_data=ocspd) - - m.write_input() - success, buff = m.run_model() - assert success - - return m diff --git a/etc/environment.yml b/etc/environment.yml index a5a8b3cdc4..01f3f86010 100644 --- a/etc/environment.yml +++ b/etc/environment.yml @@ -25,7 +25,6 @@ dependencies: - modflow-devtools - pytest - 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