From 3c50f0582e754fd4f61423b55990b30f0b5de7ec Mon Sep 17 00:00:00 2001 From: dominiquef Date: Fri, 17 May 2024 10:36:43 -0700 Subject: [PATCH 001/350] Bump versions. Update install bat file --- Install_or_Update.bat => install.bat | 4 ++-- pyproject.toml | 2 +- simpeg_drivers/__init__.py | 2 +- 3 files changed, 4 insertions(+), 4 deletions(-) rename Install_or_Update.bat => install.bat (81%) diff --git a/Install_or_Update.bat b/install.bat similarity index 81% rename from Install_or_Update.bat rename to install.bat index 094b790b..1eb91fef 100644 --- a/Install_or_Update.bat +++ b/install.bat @@ -26,8 +26,8 @@ if not exist %MY_CONDA_ENV_FILE% ( ) call "!MY_CONDA!" activate base ^ - && call "!MY_CONDA!" env create --force -n %ENV_NAME% --file %MY_CONDA_ENV_FILE% ^ - && call "!MY_CONDA!" run -n %ENV_NAME% pip install --upgrade --force-reinstall . + && call "!MY_CONDA!" env create -y -n %ENV_NAME% --file %MY_CONDA_ENV_FILE% ^ + && call "!MY_CONDA!" run -n %ENV_NAME% pip install . if !errorlevel! neq 0 ( echo "** ERROR: Installation failed **" diff --git a/pyproject.toml b/pyproject.toml index 1a27b1c6..08b4f8f0 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "simpeg-drivers" -version = "0.1.0-beta.6" +version = "0.2.0-alpha.1" description = "Application to run SimPEG inversions with geoh5 files from Geoscience Analyst." license = "MIT" authors = ["Mira Geoscience "] diff --git a/simpeg_drivers/__init__.py b/simpeg_drivers/__init__.py index 0d5b748b..3af2c0bc 100644 --- a/simpeg_drivers/__init__.py +++ b/simpeg_drivers/__init__.py @@ -20,7 +20,7 @@ from __future__ import annotations -__version__ = "0.1.0-beta.6" +__version__ = "0.2.0-alpha.1" from pathlib import Path From c34fa74980bbe445372863ccbb1cda8ae734d747 Mon Sep 17 00:00:00 2001 From: dominiquef Date: Fri, 17 May 2024 11:44:07 -0700 Subject: [PATCH 002/350] Fixes for pylint. Remove unused function slice_and_map --- .../components/factories/survey_factory.py | 3 ++ simpeg_drivers/utils/surveys.py | 29 ------------------- tests/params_test.py | 2 ++ .../driver_joint_cross_gradient_test.py | 4 +++ tests/run_tests/driver_joint_surveys_test.py | 4 +++ 5 files changed, 13 insertions(+), 29 deletions(-) diff --git a/simpeg_drivers/components/factories/survey_factory.py b/simpeg_drivers/components/factories/survey_factory.py index e3ea6b1a..7610fbf7 100644 --- a/simpeg_drivers/components/factories/survey_factory.py +++ b/simpeg_drivers/components/factories/survey_factory.py @@ -109,6 +109,9 @@ def concrete_object(self): elif self.factory_type in ["magnetotellurics", "tipper"]: from SimPEG.electromagnetics.natural_source import survey + else: + raise ValueError(f"Factory type '{self.factory_type}' not recognized.") + return survey.Survey def assemble_arguments(self, data=None, mesh=None, local_index=None, channel=None): diff --git a/simpeg_drivers/utils/surveys.py b/simpeg_drivers/utils/surveys.py index ee1956ee..f3621282 100644 --- a/simpeg_drivers/utils/surveys.py +++ b/simpeg_drivers/utils/surveys.py @@ -17,8 +17,6 @@ from __future__ import annotations -from collections.abc import Callable - import numpy as np from discretize import TreeMesh from geoapps_utils.numerical import traveling_salesman @@ -178,30 +176,3 @@ def new_neighbors(distances: np.ndarray, neighbors: np.ndarray, nodes: list[int] for i in neighbors ] return np.where(ind)[0].tolist() - - -def slice_and_map(obj: np.ndarray, slicer: np.ndarray | Callable): - """ - Slice an array and return both sliced array and global to local map. - - :param object: Array to be sliced. - :param slicer: Boolean index array, Integer index array, or callable - that provides a condition to keep or remove each row of object. - :return: Sliced array. - :return: Dictionary map from global to local indices. - """ - - if isinstance(slicer, np.ndarray): - if slicer.dtype == bool: - sliced_object = obj[slicer] - g2l = dict(zip(np.where(slicer)[0], np.arange(len(obj)))) - else: - sliced_object = obj[slicer] - g2l = dict(zip(slicer, np.arange(len(slicer)))) - - elif callable(slicer): - slicer = np.array([slicer(k) for k in obj]) - sliced_object = obj[slicer] - g2l = dict(zip(np.where(slicer)[0], np.arange(len(obj)))) - - return sliced_object, g2l diff --git a/tests/params_test.py b/tests/params_test.py index 456350f4..9f7c487e 100644 --- a/tests/params_test.py +++ b/tests/params_test.py @@ -161,6 +161,8 @@ def catch_invalid_generator(params, field, invalid_value, validation_type): err = UUIDValidationError elif validation_type == "association": err = AssociationValidationError + else: + raise ValueError("Validation type not recognized") with pytest.raises(err): setattr(params, field, invalid_value) diff --git a/tests/run_tests/driver_joint_cross_gradient_test.py b/tests/run_tests/driver_joint_cross_gradient_test.py index 1c879219..11f38a15 100644 --- a/tests/run_tests/driver_joint_cross_gradient_test.py +++ b/tests/run_tests/driver_joint_cross_gradient_test.py @@ -164,10 +164,14 @@ def test_joint_cross_gradient_inv_run( mesh = group.get_entity("mesh")[0] survey = group.get_entity("survey")[0] + data = None for child in survey.children: if isinstance(child, FloatData): data = child + if data is None: + raise ValueError("No data found in survey") + orig_data.append(data.values) if group.options["inversion_type"] == "gravity": diff --git a/tests/run_tests/driver_joint_surveys_test.py b/tests/run_tests/driver_joint_surveys_test.py index f8a67c1d..a250dc98 100644 --- a/tests/run_tests/driver_joint_surveys_test.py +++ b/tests/run_tests/driver_joint_surveys_test.py @@ -114,6 +114,7 @@ def test_joint_surveys_inv_run( topography = geoh5.get_entity("topography")[0] drivers = [] orig_data = [] + mesh = None for ind in range(2): group = geoh5.get_entity(f"Gravity Forward [{ind}]")[0] survey = geoh5.get_entity(group.options["data_object"]["value"])[0] @@ -123,6 +124,9 @@ def test_joint_surveys_inv_run( else: survey = child + if mesh is None: + raise ValueError("No mesh found in the group.") + gz = survey.get_data("Iteration_0_gz")[0] orig_data.append(gz.values) params = GravityParams( From 065e0a90d936538a4232a2df3443d8402f2749a3 Mon Sep 17 00:00:00 2001 From: dominiquef Date: Fri, 17 May 2024 11:45:57 -0700 Subject: [PATCH 003/350] Bump versions in uij.sons --- simpeg_drivers-assets/uijson/direct_current_forward_2d.ui.json | 2 +- simpeg_drivers-assets/uijson/direct_current_forward_3d.ui.json | 2 +- .../uijson/direct_current_forward_pseudo3d.ui.json | 2 +- .../uijson/direct_current_inversion_2d.ui.json | 2 +- .../uijson/direct_current_inversion_3d.ui.json | 2 +- .../uijson/direct_current_inversion_pseudo3d.ui.json | 2 +- simpeg_drivers-assets/uijson/fem_forward.ui.json | 2 +- simpeg_drivers-assets/uijson/fem_inversion.ui.json | 2 +- simpeg_drivers-assets/uijson/gravity_forward.ui.json | 2 +- simpeg_drivers-assets/uijson/gravity_inversion.ui.json | 2 +- .../uijson/induced_polarization_forward_2d.ui.json | 2 +- .../uijson/induced_polarization_forward_3d.ui.json | 2 +- .../uijson/induced_polarization_forward_pseudo3d.ui.json | 2 +- .../uijson/induced_polarization_inversion_2d.ui.json | 2 +- .../uijson/induced_polarization_inversion_3d.ui.json | 2 +- .../uijson/induced_polarization_inversion_pseudo3d.ui.json | 2 +- .../uijson/joint_cross_gradient_inversion.ui.json | 2 +- simpeg_drivers-assets/uijson/joint_surveys_inversion.ui.json | 2 +- simpeg_drivers-assets/uijson/magnetic_scalar_forward.ui.json | 2 +- simpeg_drivers-assets/uijson/magnetic_scalar_inversion.ui.json | 2 +- simpeg_drivers-assets/uijson/magnetic_vector_forward.ui.json | 2 +- simpeg_drivers-assets/uijson/magnetic_vector_inversion.ui.json | 2 +- simpeg_drivers-assets/uijson/magnetotellurics_forward.ui.json | 2 +- simpeg_drivers-assets/uijson/magnetotellurics_inversion.ui.json | 2 +- simpeg_drivers-assets/uijson/tdem_forward.ui.json | 2 +- simpeg_drivers-assets/uijson/tdem_inversion.ui.json | 2 +- simpeg_drivers-assets/uijson/tipper_forward.ui.json | 2 +- simpeg_drivers-assets/uijson/tipper_inversion.ui.json | 2 +- 28 files changed, 28 insertions(+), 28 deletions(-) diff --git a/simpeg_drivers-assets/uijson/direct_current_forward_2d.ui.json b/simpeg_drivers-assets/uijson/direct_current_forward_2d.ui.json index 77a5847e..2590fe27 100644 --- a/simpeg_drivers-assets/uijson/direct_current_forward_2d.ui.json +++ b/simpeg_drivers-assets/uijson/direct_current_forward_2d.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Direct Current (DC) 2D Forward", "icon": "PotentialElectrode", "conda_environment": "simpeg_drivers", diff --git a/simpeg_drivers-assets/uijson/direct_current_forward_3d.ui.json b/simpeg_drivers-assets/uijson/direct_current_forward_3d.ui.json index c9801df9..04f14507 100644 --- a/simpeg_drivers-assets/uijson/direct_current_forward_3d.ui.json +++ b/simpeg_drivers-assets/uijson/direct_current_forward_3d.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Direct Current (DC) 3D Forward", "icon": "PotentialElectrode", "documentation": "https://mirageoscience-simpeg-drivers.readthedocs-hosted.com/", diff --git a/simpeg_drivers-assets/uijson/direct_current_forward_pseudo3d.ui.json b/simpeg_drivers-assets/uijson/direct_current_forward_pseudo3d.ui.json index 7aa058aa..b5e7aebc 100644 --- a/simpeg_drivers-assets/uijson/direct_current_forward_pseudo3d.ui.json +++ b/simpeg_drivers-assets/uijson/direct_current_forward_pseudo3d.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Direct Current (DC) 2D Batch Forward", "icon": "PotentialElectrode", "conda_environment": "simpeg_drivers", diff --git a/simpeg_drivers-assets/uijson/direct_current_inversion_2d.ui.json b/simpeg_drivers-assets/uijson/direct_current_inversion_2d.ui.json index 27ea2eec..a5673bc9 100644 --- a/simpeg_drivers-assets/uijson/direct_current_inversion_2d.ui.json +++ b/simpeg_drivers-assets/uijson/direct_current_inversion_2d.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Direct Current (DC) 2D Inversion", "icon": "PotentialElectrode", "conda_environment": "simpeg_drivers", diff --git a/simpeg_drivers-assets/uijson/direct_current_inversion_3d.ui.json b/simpeg_drivers-assets/uijson/direct_current_inversion_3d.ui.json index a02cb330..8cf93c2b 100644 --- a/simpeg_drivers-assets/uijson/direct_current_inversion_3d.ui.json +++ b/simpeg_drivers-assets/uijson/direct_current_inversion_3d.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Direct Current (DC) 3D Inversion", "icon": "PotentialElectrode", "documentation": "https://mirageoscience-simpeg-drivers.readthedocs-hosted.com/", diff --git a/simpeg_drivers-assets/uijson/direct_current_inversion_pseudo3d.ui.json b/simpeg_drivers-assets/uijson/direct_current_inversion_pseudo3d.ui.json index d095ae87..125b1eb1 100644 --- a/simpeg_drivers-assets/uijson/direct_current_inversion_pseudo3d.ui.json +++ b/simpeg_drivers-assets/uijson/direct_current_inversion_pseudo3d.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Direct Current (DC) 2D Batch Inversion", "icon": "PotentialElectrode", "conda_environment": "simpeg_drivers", diff --git a/simpeg_drivers-assets/uijson/fem_forward.ui.json b/simpeg_drivers-assets/uijson/fem_forward.ui.json index bd275e19..bff31fec 100644 --- a/simpeg_drivers-assets/uijson/fem_forward.ui.json +++ b/simpeg_drivers-assets/uijson/fem_forward.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Frequency-domain EM (FEM) Forward", "icon": "surveyairborneem", "conda_environment": "simpeg_drivers", diff --git a/simpeg_drivers-assets/uijson/fem_inversion.ui.json b/simpeg_drivers-assets/uijson/fem_inversion.ui.json index 3e9663b0..48e6cf81 100644 --- a/simpeg_drivers-assets/uijson/fem_inversion.ui.json +++ b/simpeg_drivers-assets/uijson/fem_inversion.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Frequency-domain EM (FEM) Inversion", "icon": "surveyairborneem", "conda_environment": "simpeg_drivers", diff --git a/simpeg_drivers-assets/uijson/gravity_forward.ui.json b/simpeg_drivers-assets/uijson/gravity_forward.ui.json index 573b784d..3299a33a 100644 --- a/simpeg_drivers-assets/uijson/gravity_forward.ui.json +++ b/simpeg_drivers-assets/uijson/gravity_forward.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Gravity Forward", "icon": "surveyairbornegravity", "documentation": "https://mirageoscience-simpeg-drivers.readthedocs-hosted.com/", diff --git a/simpeg_drivers-assets/uijson/gravity_inversion.ui.json b/simpeg_drivers-assets/uijson/gravity_inversion.ui.json index bcc75288..b0cf2a29 100644 --- a/simpeg_drivers-assets/uijson/gravity_inversion.ui.json +++ b/simpeg_drivers-assets/uijson/gravity_inversion.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Gravity Inversion", "icon": "surveyairbornegravity", "documentation": "https://mirageoscience-simpeg-drivers.readthedocs-hosted.com/", diff --git a/simpeg_drivers-assets/uijson/induced_polarization_forward_2d.ui.json b/simpeg_drivers-assets/uijson/induced_polarization_forward_2d.ui.json index ef9159e7..56f64f50 100644 --- a/simpeg_drivers-assets/uijson/induced_polarization_forward_2d.ui.json +++ b/simpeg_drivers-assets/uijson/induced_polarization_forward_2d.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Induced Polarization (IP) 2D Forward", "icon": "PotentialElectrode", "conda_environment": "simpeg_drivers", diff --git a/simpeg_drivers-assets/uijson/induced_polarization_forward_3d.ui.json b/simpeg_drivers-assets/uijson/induced_polarization_forward_3d.ui.json index 9025dd34..366f09e6 100644 --- a/simpeg_drivers-assets/uijson/induced_polarization_forward_3d.ui.json +++ b/simpeg_drivers-assets/uijson/induced_polarization_forward_3d.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Induced Polarization (IP) 3D Forward", "icon": "PotentialElectrode", "documentation": "https://mirageoscience-simpeg-drivers.readthedocs-hosted.com/", diff --git a/simpeg_drivers-assets/uijson/induced_polarization_forward_pseudo3d.ui.json b/simpeg_drivers-assets/uijson/induced_polarization_forward_pseudo3d.ui.json index a7f1e031..8cbba4e4 100644 --- a/simpeg_drivers-assets/uijson/induced_polarization_forward_pseudo3d.ui.json +++ b/simpeg_drivers-assets/uijson/induced_polarization_forward_pseudo3d.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Induced Polarization (IP) 2D Batch Forward", "icon": "PotentialElectrode", "conda_environment": "simpeg_drivers", diff --git a/simpeg_drivers-assets/uijson/induced_polarization_inversion_2d.ui.json b/simpeg_drivers-assets/uijson/induced_polarization_inversion_2d.ui.json index 424bf565..32f708df 100644 --- a/simpeg_drivers-assets/uijson/induced_polarization_inversion_2d.ui.json +++ b/simpeg_drivers-assets/uijson/induced_polarization_inversion_2d.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Induced Polarization (IP) 2D Inversion", "icon": "PotentialElectrode", "conda_environment": "simpeg_drivers", diff --git a/simpeg_drivers-assets/uijson/induced_polarization_inversion_3d.ui.json b/simpeg_drivers-assets/uijson/induced_polarization_inversion_3d.ui.json index 1fa1523f..70c301df 100644 --- a/simpeg_drivers-assets/uijson/induced_polarization_inversion_3d.ui.json +++ b/simpeg_drivers-assets/uijson/induced_polarization_inversion_3d.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Induced Polarization (IP) 3D Inversion", "icon": "PotentialElectrode", "documentation": "https://mirageoscience-simpeg-drivers.readthedocs-hosted.com/", diff --git a/simpeg_drivers-assets/uijson/induced_polarization_inversion_pseudo3d.ui.json b/simpeg_drivers-assets/uijson/induced_polarization_inversion_pseudo3d.ui.json index 8b648f90..b58c881e 100644 --- a/simpeg_drivers-assets/uijson/induced_polarization_inversion_pseudo3d.ui.json +++ b/simpeg_drivers-assets/uijson/induced_polarization_inversion_pseudo3d.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Induced Polarization (IP) 2D Batch Inversion", "icon": "PotentialElectrode", "conda_environment": "simpeg_drivers", diff --git a/simpeg_drivers-assets/uijson/joint_cross_gradient_inversion.ui.json b/simpeg_drivers-assets/uijson/joint_cross_gradient_inversion.ui.json index 3a66fa4b..396d48b1 100644 --- a/simpeg_drivers-assets/uijson/joint_cross_gradient_inversion.ui.json +++ b/simpeg_drivers-assets/uijson/joint_cross_gradient_inversion.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "SimPEG Joint Cross Gradient Inversion", "conda_environment": "simpeg_drivers", "run_command": "simpeg_drivers.driver", diff --git a/simpeg_drivers-assets/uijson/joint_surveys_inversion.ui.json b/simpeg_drivers-assets/uijson/joint_surveys_inversion.ui.json index 2b6ec002..54a0f6a2 100644 --- a/simpeg_drivers-assets/uijson/joint_surveys_inversion.ui.json +++ b/simpeg_drivers-assets/uijson/joint_surveys_inversion.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "SimPEG Joint Surveys Inversion", "conda_environment": "simpeg_drivers", "run_command": "simpeg_drivers.driver", diff --git a/simpeg_drivers-assets/uijson/magnetic_scalar_forward.ui.json b/simpeg_drivers-assets/uijson/magnetic_scalar_forward.ui.json index 108874f1..a71b5b02 100644 --- a/simpeg_drivers-assets/uijson/magnetic_scalar_forward.ui.json +++ b/simpeg_drivers-assets/uijson/magnetic_scalar_forward.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Magnetic Forward", "icon": "surveyairbornegravity", "documentation": "https://mirageoscience-simpeg-drivers.readthedocs-hosted.com/", diff --git a/simpeg_drivers-assets/uijson/magnetic_scalar_inversion.ui.json b/simpeg_drivers-assets/uijson/magnetic_scalar_inversion.ui.json index 2bae66e3..bdf4fc09 100644 --- a/simpeg_drivers-assets/uijson/magnetic_scalar_inversion.ui.json +++ b/simpeg_drivers-assets/uijson/magnetic_scalar_inversion.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Magnetic Inversion", "icon": "surveyairbornemagnetics", "documentation": "https://mirageoscience-simpeg-drivers.readthedocs-hosted.com/", diff --git a/simpeg_drivers-assets/uijson/magnetic_vector_forward.ui.json b/simpeg_drivers-assets/uijson/magnetic_vector_forward.ui.json index b0b8a291..77946b84 100644 --- a/simpeg_drivers-assets/uijson/magnetic_vector_forward.ui.json +++ b/simpeg_drivers-assets/uijson/magnetic_vector_forward.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Magnetic Vector (MVI) Forward", "icon": "surveyairbornemagnetics", "documentation": "https://mirageoscience-simpeg-drivers.readthedocs-hosted.com/", diff --git a/simpeg_drivers-assets/uijson/magnetic_vector_inversion.ui.json b/simpeg_drivers-assets/uijson/magnetic_vector_inversion.ui.json index e8686f60..e4413ed9 100644 --- a/simpeg_drivers-assets/uijson/magnetic_vector_inversion.ui.json +++ b/simpeg_drivers-assets/uijson/magnetic_vector_inversion.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Magnetic Vector (MVI) Inversion", "icon": "surveyairbornegravity", "documentation": "https://mirageoscience-simpeg-drivers.readthedocs-hosted.com/", diff --git a/simpeg_drivers-assets/uijson/magnetotellurics_forward.ui.json b/simpeg_drivers-assets/uijson/magnetotellurics_forward.ui.json index 038c2bc8..a5b27dd8 100644 --- a/simpeg_drivers-assets/uijson/magnetotellurics_forward.ui.json +++ b/simpeg_drivers-assets/uijson/magnetotellurics_forward.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Magnetotellurics (MT) Forward", "icon": "surveymagnetotellurics", "conda_environment": "simpeg_drivers", diff --git a/simpeg_drivers-assets/uijson/magnetotellurics_inversion.ui.json b/simpeg_drivers-assets/uijson/magnetotellurics_inversion.ui.json index d0897660..664464ab 100644 --- a/simpeg_drivers-assets/uijson/magnetotellurics_inversion.ui.json +++ b/simpeg_drivers-assets/uijson/magnetotellurics_inversion.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Magnetotellurics (MT) Inversion", "icon": "surveymagnetotellurics", "conda_environment": "simpeg_drivers", diff --git a/simpeg_drivers-assets/uijson/tdem_forward.ui.json b/simpeg_drivers-assets/uijson/tdem_forward.ui.json index 38bdf19c..5f89ffac 100644 --- a/simpeg_drivers-assets/uijson/tdem_forward.ui.json +++ b/simpeg_drivers-assets/uijson/tdem_forward.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Time-domain EM (TEM) Forward", "icon": "surveyairborneem", "conda_environment": "simpeg_drivers", diff --git a/simpeg_drivers-assets/uijson/tdem_inversion.ui.json b/simpeg_drivers-assets/uijson/tdem_inversion.ui.json index 1cf053df..d3e50378 100644 --- a/simpeg_drivers-assets/uijson/tdem_inversion.ui.json +++ b/simpeg_drivers-assets/uijson/tdem_inversion.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Time-domain EM (TEM) Inversion", "icon": "surveyairborneem", "conda_environment": "simpeg_drivers", diff --git a/simpeg_drivers-assets/uijson/tipper_forward.ui.json b/simpeg_drivers-assets/uijson/tipper_forward.ui.json index 3d86364a..5c928897 100644 --- a/simpeg_drivers-assets/uijson/tipper_forward.ui.json +++ b/simpeg_drivers-assets/uijson/tipper_forward.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Tipper Forward", "icon": "surveyztem", "conda_environment": "simpeg_drivers", diff --git a/simpeg_drivers-assets/uijson/tipper_inversion.ui.json b/simpeg_drivers-assets/uijson/tipper_inversion.ui.json index 65b602ac..d74d9f53 100644 --- a/simpeg_drivers-assets/uijson/tipper_inversion.ui.json +++ b/simpeg_drivers-assets/uijson/tipper_inversion.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Tipper Inversion", "icon": "surveyztem", "conda_environment": "simpeg_drivers", From 8e8b35ace83a8d5b773fc09bf28a4be8fea2c817 Mon Sep 17 00:00:00 2001 From: dominiquef Date: Fri, 17 May 2024 11:44:07 -0700 Subject: [PATCH 004/350] Fixes for pylint. Remove unused function slice_and_map (cherry picked from commit c34fa74980bbe445372863ccbb1cda8ae734d747) --- .../components/factories/survey_factory.py | 3 ++ simpeg_drivers/utils/surveys.py | 29 ------------------- tests/params_test.py | 2 ++ .../driver_joint_cross_gradient_test.py | 4 +++ tests/run_tests/driver_joint_surveys_test.py | 4 +++ 5 files changed, 13 insertions(+), 29 deletions(-) diff --git a/simpeg_drivers/components/factories/survey_factory.py b/simpeg_drivers/components/factories/survey_factory.py index e3ea6b1a..7610fbf7 100644 --- a/simpeg_drivers/components/factories/survey_factory.py +++ b/simpeg_drivers/components/factories/survey_factory.py @@ -109,6 +109,9 @@ def concrete_object(self): elif self.factory_type in ["magnetotellurics", "tipper"]: from SimPEG.electromagnetics.natural_source import survey + else: + raise ValueError(f"Factory type '{self.factory_type}' not recognized.") + return survey.Survey def assemble_arguments(self, data=None, mesh=None, local_index=None, channel=None): diff --git a/simpeg_drivers/utils/surveys.py b/simpeg_drivers/utils/surveys.py index ee1956ee..f3621282 100644 --- a/simpeg_drivers/utils/surveys.py +++ b/simpeg_drivers/utils/surveys.py @@ -17,8 +17,6 @@ from __future__ import annotations -from collections.abc import Callable - import numpy as np from discretize import TreeMesh from geoapps_utils.numerical import traveling_salesman @@ -178,30 +176,3 @@ def new_neighbors(distances: np.ndarray, neighbors: np.ndarray, nodes: list[int] for i in neighbors ] return np.where(ind)[0].tolist() - - -def slice_and_map(obj: np.ndarray, slicer: np.ndarray | Callable): - """ - Slice an array and return both sliced array and global to local map. - - :param object: Array to be sliced. - :param slicer: Boolean index array, Integer index array, or callable - that provides a condition to keep or remove each row of object. - :return: Sliced array. - :return: Dictionary map from global to local indices. - """ - - if isinstance(slicer, np.ndarray): - if slicer.dtype == bool: - sliced_object = obj[slicer] - g2l = dict(zip(np.where(slicer)[0], np.arange(len(obj)))) - else: - sliced_object = obj[slicer] - g2l = dict(zip(slicer, np.arange(len(slicer)))) - - elif callable(slicer): - slicer = np.array([slicer(k) for k in obj]) - sliced_object = obj[slicer] - g2l = dict(zip(np.where(slicer)[0], np.arange(len(obj)))) - - return sliced_object, g2l diff --git a/tests/params_test.py b/tests/params_test.py index 456350f4..9f7c487e 100644 --- a/tests/params_test.py +++ b/tests/params_test.py @@ -161,6 +161,8 @@ def catch_invalid_generator(params, field, invalid_value, validation_type): err = UUIDValidationError elif validation_type == "association": err = AssociationValidationError + else: + raise ValueError("Validation type not recognized") with pytest.raises(err): setattr(params, field, invalid_value) diff --git a/tests/run_tests/driver_joint_cross_gradient_test.py b/tests/run_tests/driver_joint_cross_gradient_test.py index 1c879219..11f38a15 100644 --- a/tests/run_tests/driver_joint_cross_gradient_test.py +++ b/tests/run_tests/driver_joint_cross_gradient_test.py @@ -164,10 +164,14 @@ def test_joint_cross_gradient_inv_run( mesh = group.get_entity("mesh")[0] survey = group.get_entity("survey")[0] + data = None for child in survey.children: if isinstance(child, FloatData): data = child + if data is None: + raise ValueError("No data found in survey") + orig_data.append(data.values) if group.options["inversion_type"] == "gravity": diff --git a/tests/run_tests/driver_joint_surveys_test.py b/tests/run_tests/driver_joint_surveys_test.py index f8a67c1d..a250dc98 100644 --- a/tests/run_tests/driver_joint_surveys_test.py +++ b/tests/run_tests/driver_joint_surveys_test.py @@ -114,6 +114,7 @@ def test_joint_surveys_inv_run( topography = geoh5.get_entity("topography")[0] drivers = [] orig_data = [] + mesh = None for ind in range(2): group = geoh5.get_entity(f"Gravity Forward [{ind}]")[0] survey = geoh5.get_entity(group.options["data_object"]["value"])[0] @@ -123,6 +124,9 @@ def test_joint_surveys_inv_run( else: survey = child + if mesh is None: + raise ValueError("No mesh found in the group.") + gz = survey.get_data("Iteration_0_gz")[0] orig_data.append(gz.values) params = GravityParams( From 76f8e25a36a88a3f02dc7d9165a89f29bec1ba97 Mon Sep 17 00:00:00 2001 From: dominiquef Date: Fri, 17 May 2024 11:45:57 -0700 Subject: [PATCH 005/350] Bump versions in uij.sons (cherry picked from commit 065e0a90d936538a4232a2df3443d8402f2749a3) --- simpeg_drivers-assets/uijson/direct_current_forward_2d.ui.json | 2 +- simpeg_drivers-assets/uijson/direct_current_forward_3d.ui.json | 2 +- .../uijson/direct_current_forward_pseudo3d.ui.json | 2 +- .../uijson/direct_current_inversion_2d.ui.json | 2 +- .../uijson/direct_current_inversion_3d.ui.json | 2 +- .../uijson/direct_current_inversion_pseudo3d.ui.json | 2 +- simpeg_drivers-assets/uijson/fem_forward.ui.json | 2 +- simpeg_drivers-assets/uijson/fem_inversion.ui.json | 2 +- simpeg_drivers-assets/uijson/gravity_forward.ui.json | 2 +- simpeg_drivers-assets/uijson/gravity_inversion.ui.json | 2 +- .../uijson/induced_polarization_forward_2d.ui.json | 2 +- .../uijson/induced_polarization_forward_3d.ui.json | 2 +- .../uijson/induced_polarization_forward_pseudo3d.ui.json | 2 +- .../uijson/induced_polarization_inversion_2d.ui.json | 2 +- .../uijson/induced_polarization_inversion_3d.ui.json | 2 +- .../uijson/induced_polarization_inversion_pseudo3d.ui.json | 2 +- .../uijson/joint_cross_gradient_inversion.ui.json | 2 +- simpeg_drivers-assets/uijson/joint_surveys_inversion.ui.json | 2 +- simpeg_drivers-assets/uijson/magnetic_scalar_forward.ui.json | 2 +- simpeg_drivers-assets/uijson/magnetic_scalar_inversion.ui.json | 2 +- simpeg_drivers-assets/uijson/magnetic_vector_forward.ui.json | 2 +- simpeg_drivers-assets/uijson/magnetic_vector_inversion.ui.json | 2 +- simpeg_drivers-assets/uijson/magnetotellurics_forward.ui.json | 2 +- simpeg_drivers-assets/uijson/magnetotellurics_inversion.ui.json | 2 +- simpeg_drivers-assets/uijson/tdem_forward.ui.json | 2 +- simpeg_drivers-assets/uijson/tdem_inversion.ui.json | 2 +- simpeg_drivers-assets/uijson/tipper_forward.ui.json | 2 +- simpeg_drivers-assets/uijson/tipper_inversion.ui.json | 2 +- 28 files changed, 28 insertions(+), 28 deletions(-) diff --git a/simpeg_drivers-assets/uijson/direct_current_forward_2d.ui.json b/simpeg_drivers-assets/uijson/direct_current_forward_2d.ui.json index 77a5847e..2590fe27 100644 --- a/simpeg_drivers-assets/uijson/direct_current_forward_2d.ui.json +++ b/simpeg_drivers-assets/uijson/direct_current_forward_2d.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Direct Current (DC) 2D Forward", "icon": "PotentialElectrode", "conda_environment": "simpeg_drivers", diff --git a/simpeg_drivers-assets/uijson/direct_current_forward_3d.ui.json b/simpeg_drivers-assets/uijson/direct_current_forward_3d.ui.json index c9801df9..04f14507 100644 --- a/simpeg_drivers-assets/uijson/direct_current_forward_3d.ui.json +++ b/simpeg_drivers-assets/uijson/direct_current_forward_3d.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Direct Current (DC) 3D Forward", "icon": "PotentialElectrode", "documentation": "https://mirageoscience-simpeg-drivers.readthedocs-hosted.com/", diff --git a/simpeg_drivers-assets/uijson/direct_current_forward_pseudo3d.ui.json b/simpeg_drivers-assets/uijson/direct_current_forward_pseudo3d.ui.json index 7aa058aa..b5e7aebc 100644 --- a/simpeg_drivers-assets/uijson/direct_current_forward_pseudo3d.ui.json +++ b/simpeg_drivers-assets/uijson/direct_current_forward_pseudo3d.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Direct Current (DC) 2D Batch Forward", "icon": "PotentialElectrode", "conda_environment": "simpeg_drivers", diff --git a/simpeg_drivers-assets/uijson/direct_current_inversion_2d.ui.json b/simpeg_drivers-assets/uijson/direct_current_inversion_2d.ui.json index 27ea2eec..a5673bc9 100644 --- a/simpeg_drivers-assets/uijson/direct_current_inversion_2d.ui.json +++ b/simpeg_drivers-assets/uijson/direct_current_inversion_2d.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Direct Current (DC) 2D Inversion", "icon": "PotentialElectrode", "conda_environment": "simpeg_drivers", diff --git a/simpeg_drivers-assets/uijson/direct_current_inversion_3d.ui.json b/simpeg_drivers-assets/uijson/direct_current_inversion_3d.ui.json index a02cb330..8cf93c2b 100644 --- a/simpeg_drivers-assets/uijson/direct_current_inversion_3d.ui.json +++ b/simpeg_drivers-assets/uijson/direct_current_inversion_3d.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Direct Current (DC) 3D Inversion", "icon": "PotentialElectrode", "documentation": "https://mirageoscience-simpeg-drivers.readthedocs-hosted.com/", diff --git a/simpeg_drivers-assets/uijson/direct_current_inversion_pseudo3d.ui.json b/simpeg_drivers-assets/uijson/direct_current_inversion_pseudo3d.ui.json index d095ae87..125b1eb1 100644 --- a/simpeg_drivers-assets/uijson/direct_current_inversion_pseudo3d.ui.json +++ b/simpeg_drivers-assets/uijson/direct_current_inversion_pseudo3d.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Direct Current (DC) 2D Batch Inversion", "icon": "PotentialElectrode", "conda_environment": "simpeg_drivers", diff --git a/simpeg_drivers-assets/uijson/fem_forward.ui.json b/simpeg_drivers-assets/uijson/fem_forward.ui.json index bd275e19..bff31fec 100644 --- a/simpeg_drivers-assets/uijson/fem_forward.ui.json +++ b/simpeg_drivers-assets/uijson/fem_forward.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Frequency-domain EM (FEM) Forward", "icon": "surveyairborneem", "conda_environment": "simpeg_drivers", diff --git a/simpeg_drivers-assets/uijson/fem_inversion.ui.json b/simpeg_drivers-assets/uijson/fem_inversion.ui.json index 3e9663b0..48e6cf81 100644 --- a/simpeg_drivers-assets/uijson/fem_inversion.ui.json +++ b/simpeg_drivers-assets/uijson/fem_inversion.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Frequency-domain EM (FEM) Inversion", "icon": "surveyairborneem", "conda_environment": "simpeg_drivers", diff --git a/simpeg_drivers-assets/uijson/gravity_forward.ui.json b/simpeg_drivers-assets/uijson/gravity_forward.ui.json index 573b784d..3299a33a 100644 --- a/simpeg_drivers-assets/uijson/gravity_forward.ui.json +++ b/simpeg_drivers-assets/uijson/gravity_forward.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Gravity Forward", "icon": "surveyairbornegravity", "documentation": "https://mirageoscience-simpeg-drivers.readthedocs-hosted.com/", diff --git a/simpeg_drivers-assets/uijson/gravity_inversion.ui.json b/simpeg_drivers-assets/uijson/gravity_inversion.ui.json index bcc75288..b0cf2a29 100644 --- a/simpeg_drivers-assets/uijson/gravity_inversion.ui.json +++ b/simpeg_drivers-assets/uijson/gravity_inversion.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Gravity Inversion", "icon": "surveyairbornegravity", "documentation": "https://mirageoscience-simpeg-drivers.readthedocs-hosted.com/", diff --git a/simpeg_drivers-assets/uijson/induced_polarization_forward_2d.ui.json b/simpeg_drivers-assets/uijson/induced_polarization_forward_2d.ui.json index ef9159e7..56f64f50 100644 --- a/simpeg_drivers-assets/uijson/induced_polarization_forward_2d.ui.json +++ b/simpeg_drivers-assets/uijson/induced_polarization_forward_2d.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Induced Polarization (IP) 2D Forward", "icon": "PotentialElectrode", "conda_environment": "simpeg_drivers", diff --git a/simpeg_drivers-assets/uijson/induced_polarization_forward_3d.ui.json b/simpeg_drivers-assets/uijson/induced_polarization_forward_3d.ui.json index 9025dd34..366f09e6 100644 --- a/simpeg_drivers-assets/uijson/induced_polarization_forward_3d.ui.json +++ b/simpeg_drivers-assets/uijson/induced_polarization_forward_3d.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Induced Polarization (IP) 3D Forward", "icon": "PotentialElectrode", "documentation": "https://mirageoscience-simpeg-drivers.readthedocs-hosted.com/", diff --git a/simpeg_drivers-assets/uijson/induced_polarization_forward_pseudo3d.ui.json b/simpeg_drivers-assets/uijson/induced_polarization_forward_pseudo3d.ui.json index a7f1e031..8cbba4e4 100644 --- a/simpeg_drivers-assets/uijson/induced_polarization_forward_pseudo3d.ui.json +++ b/simpeg_drivers-assets/uijson/induced_polarization_forward_pseudo3d.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Induced Polarization (IP) 2D Batch Forward", "icon": "PotentialElectrode", "conda_environment": "simpeg_drivers", diff --git a/simpeg_drivers-assets/uijson/induced_polarization_inversion_2d.ui.json b/simpeg_drivers-assets/uijson/induced_polarization_inversion_2d.ui.json index 424bf565..32f708df 100644 --- a/simpeg_drivers-assets/uijson/induced_polarization_inversion_2d.ui.json +++ b/simpeg_drivers-assets/uijson/induced_polarization_inversion_2d.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Induced Polarization (IP) 2D Inversion", "icon": "PotentialElectrode", "conda_environment": "simpeg_drivers", diff --git a/simpeg_drivers-assets/uijson/induced_polarization_inversion_3d.ui.json b/simpeg_drivers-assets/uijson/induced_polarization_inversion_3d.ui.json index 1fa1523f..70c301df 100644 --- a/simpeg_drivers-assets/uijson/induced_polarization_inversion_3d.ui.json +++ b/simpeg_drivers-assets/uijson/induced_polarization_inversion_3d.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Induced Polarization (IP) 3D Inversion", "icon": "PotentialElectrode", "documentation": "https://mirageoscience-simpeg-drivers.readthedocs-hosted.com/", diff --git a/simpeg_drivers-assets/uijson/induced_polarization_inversion_pseudo3d.ui.json b/simpeg_drivers-assets/uijson/induced_polarization_inversion_pseudo3d.ui.json index 8b648f90..b58c881e 100644 --- a/simpeg_drivers-assets/uijson/induced_polarization_inversion_pseudo3d.ui.json +++ b/simpeg_drivers-assets/uijson/induced_polarization_inversion_pseudo3d.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Induced Polarization (IP) 2D Batch Inversion", "icon": "PotentialElectrode", "conda_environment": "simpeg_drivers", diff --git a/simpeg_drivers-assets/uijson/joint_cross_gradient_inversion.ui.json b/simpeg_drivers-assets/uijson/joint_cross_gradient_inversion.ui.json index 3a66fa4b..396d48b1 100644 --- a/simpeg_drivers-assets/uijson/joint_cross_gradient_inversion.ui.json +++ b/simpeg_drivers-assets/uijson/joint_cross_gradient_inversion.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "SimPEG Joint Cross Gradient Inversion", "conda_environment": "simpeg_drivers", "run_command": "simpeg_drivers.driver", diff --git a/simpeg_drivers-assets/uijson/joint_surveys_inversion.ui.json b/simpeg_drivers-assets/uijson/joint_surveys_inversion.ui.json index 2b6ec002..54a0f6a2 100644 --- a/simpeg_drivers-assets/uijson/joint_surveys_inversion.ui.json +++ b/simpeg_drivers-assets/uijson/joint_surveys_inversion.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "SimPEG Joint Surveys Inversion", "conda_environment": "simpeg_drivers", "run_command": "simpeg_drivers.driver", diff --git a/simpeg_drivers-assets/uijson/magnetic_scalar_forward.ui.json b/simpeg_drivers-assets/uijson/magnetic_scalar_forward.ui.json index 108874f1..a71b5b02 100644 --- a/simpeg_drivers-assets/uijson/magnetic_scalar_forward.ui.json +++ b/simpeg_drivers-assets/uijson/magnetic_scalar_forward.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Magnetic Forward", "icon": "surveyairbornegravity", "documentation": "https://mirageoscience-simpeg-drivers.readthedocs-hosted.com/", diff --git a/simpeg_drivers-assets/uijson/magnetic_scalar_inversion.ui.json b/simpeg_drivers-assets/uijson/magnetic_scalar_inversion.ui.json index 2bae66e3..bdf4fc09 100644 --- a/simpeg_drivers-assets/uijson/magnetic_scalar_inversion.ui.json +++ b/simpeg_drivers-assets/uijson/magnetic_scalar_inversion.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Magnetic Inversion", "icon": "surveyairbornemagnetics", "documentation": "https://mirageoscience-simpeg-drivers.readthedocs-hosted.com/", diff --git a/simpeg_drivers-assets/uijson/magnetic_vector_forward.ui.json b/simpeg_drivers-assets/uijson/magnetic_vector_forward.ui.json index b0b8a291..77946b84 100644 --- a/simpeg_drivers-assets/uijson/magnetic_vector_forward.ui.json +++ b/simpeg_drivers-assets/uijson/magnetic_vector_forward.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Magnetic Vector (MVI) Forward", "icon": "surveyairbornemagnetics", "documentation": "https://mirageoscience-simpeg-drivers.readthedocs-hosted.com/", diff --git a/simpeg_drivers-assets/uijson/magnetic_vector_inversion.ui.json b/simpeg_drivers-assets/uijson/magnetic_vector_inversion.ui.json index e8686f60..e4413ed9 100644 --- a/simpeg_drivers-assets/uijson/magnetic_vector_inversion.ui.json +++ b/simpeg_drivers-assets/uijson/magnetic_vector_inversion.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Magnetic Vector (MVI) Inversion", "icon": "surveyairbornegravity", "documentation": "https://mirageoscience-simpeg-drivers.readthedocs-hosted.com/", diff --git a/simpeg_drivers-assets/uijson/magnetotellurics_forward.ui.json b/simpeg_drivers-assets/uijson/magnetotellurics_forward.ui.json index 038c2bc8..a5b27dd8 100644 --- a/simpeg_drivers-assets/uijson/magnetotellurics_forward.ui.json +++ b/simpeg_drivers-assets/uijson/magnetotellurics_forward.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Magnetotellurics (MT) Forward", "icon": "surveymagnetotellurics", "conda_environment": "simpeg_drivers", diff --git a/simpeg_drivers-assets/uijson/magnetotellurics_inversion.ui.json b/simpeg_drivers-assets/uijson/magnetotellurics_inversion.ui.json index d0897660..664464ab 100644 --- a/simpeg_drivers-assets/uijson/magnetotellurics_inversion.ui.json +++ b/simpeg_drivers-assets/uijson/magnetotellurics_inversion.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Magnetotellurics (MT) Inversion", "icon": "surveymagnetotellurics", "conda_environment": "simpeg_drivers", diff --git a/simpeg_drivers-assets/uijson/tdem_forward.ui.json b/simpeg_drivers-assets/uijson/tdem_forward.ui.json index 38bdf19c..5f89ffac 100644 --- a/simpeg_drivers-assets/uijson/tdem_forward.ui.json +++ b/simpeg_drivers-assets/uijson/tdem_forward.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Time-domain EM (TEM) Forward", "icon": "surveyairborneem", "conda_environment": "simpeg_drivers", diff --git a/simpeg_drivers-assets/uijson/tdem_inversion.ui.json b/simpeg_drivers-assets/uijson/tdem_inversion.ui.json index 1cf053df..d3e50378 100644 --- a/simpeg_drivers-assets/uijson/tdem_inversion.ui.json +++ b/simpeg_drivers-assets/uijson/tdem_inversion.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Time-domain EM (TEM) Inversion", "icon": "surveyairborneem", "conda_environment": "simpeg_drivers", diff --git a/simpeg_drivers-assets/uijson/tipper_forward.ui.json b/simpeg_drivers-assets/uijson/tipper_forward.ui.json index 3d86364a..5c928897 100644 --- a/simpeg_drivers-assets/uijson/tipper_forward.ui.json +++ b/simpeg_drivers-assets/uijson/tipper_forward.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Tipper Forward", "icon": "surveyztem", "conda_environment": "simpeg_drivers", diff --git a/simpeg_drivers-assets/uijson/tipper_inversion.ui.json b/simpeg_drivers-assets/uijson/tipper_inversion.ui.json index 65b602ac..d74d9f53 100644 --- a/simpeg_drivers-assets/uijson/tipper_inversion.ui.json +++ b/simpeg_drivers-assets/uijson/tipper_inversion.ui.json @@ -1,5 +1,5 @@ { - "version": "0.1.0-alpha.1", + "version": "0.2.0-alpha.1", "title": "Tipper Inversion", "icon": "surveyztem", "conda_environment": "simpeg_drivers", From a707255984be9c53dbe68e264d1d71817fda43b8 Mon Sep 17 00:00:00 2001 From: dominiquef Date: Fri, 17 May 2024 14:32:27 -0700 Subject: [PATCH 006/350] Simplify octree_cells assignemnts --- simpeg_drivers/components/meshes.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/simpeg_drivers/components/meshes.py b/simpeg_drivers/components/meshes.py index c532f8c3..fd35e06e 100644 --- a/simpeg_drivers/components/meshes.py +++ b/simpeg_drivers/components/meshes.py @@ -200,7 +200,7 @@ def ensure_cell_convention(mesh: Octree) -> TreeMesh | None: temp_workspace = Workspace() temp_octree = treemesh_2_octree(temp_workspace, treemesh) - mesh.octree_cells = np.vstack(temp_octree.octree_cells.tolist()) + mesh.octree_cells = temp_octree.octree_cells mesh.origin = origin for dim in "uvw": attr = f"{dim}_cell_size" From f9bcda9574b73029b84f03d96ad83bc6cafcac89 Mon Sep 17 00:00:00 2001 From: dominiquef Date: Wed, 22 May 2024 10:36:20 -0700 Subject: [PATCH 007/350] Change requirements --- .../py-3.10-linux-64-dev.conda.lock.yml | 45 +- environments/py-3.10-linux-64.conda.lock.yml | 33 +- .../py-3.10-win-64-dev.conda.lock.yml | 53 +- environments/py-3.10-win-64.conda.lock.yml | 39 +- py-3.10.conda-lock.yml | 452 ++++++++++-------- pyproject.toml | 20 +- 6 files changed, 346 insertions(+), 296 deletions(-) diff --git a/environments/py-3.10-linux-64-dev.conda.lock.yml b/environments/py-3.10-linux-64-dev.conda.lock.yml index 8ab05311..0b574c6b 100644 --- a/environments/py-3.10-linux-64-dev.conda.lock.yml +++ b/environments/py-3.10-linux-64-dev.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: bccc771b487278167658656b7f4026f064a065f1113db83f3a891b4cde3e5eed +# input_hash: 8b411fb3b3ca1c853b9c8ef8e0438fd593e841ea81f99795108d4341f01139fc channels: - conda-forge @@ -9,12 +9,12 @@ dependencies: - _openmp_mutex=4.5=2_kmp_llvm - accessible-pygments=0.0.4=pyhd8ed1ab_0 - alabaster=0.7.16=pyhd8ed1ab_0 - - annotated-types=0.6.0=pyhd8ed1ab_0 + - annotated-types=0.7.0=pyhd8ed1ab_0 - anyio=3.7.1=pyhd8ed1ab_0 - argon2-cffi=23.1.0=pyhd8ed1ab_0 - argon2-cffi-bindings=21.2.0=py310h2372a71_4 - asciitree=0.3.3=py_2 - - astroid=3.2.0=py310hff52083_0 + - astroid=3.2.2=py310hff52083_0 - asttokens=2.4.1=pyhd8ed1ab_0 - attrs=23.2.0=pyh71513ae_0 - babel=2.14.0=pyhd8ed1ab_0 @@ -58,7 +58,7 @@ dependencies: - fsspec=2022.11.0=pyhd8ed1ab_0 - geoana=0.4.0=py310hbf28c38_1 - greenlet=3.0.3=py310hc6cd4ac_0 - - h5py=3.11.0=nompi_py310h65828d5_100 + - h5py=3.11.0=nompi_py310hf054cd7_101 - hdf5=1.14.3=nompi_h4f84152_101 - icu=73.2=h59595ed_0 - idna=3.7=pyhd8ed1ab_0 @@ -69,7 +69,7 @@ dependencies: - iniconfig=2.0.0=pyhd8ed1ab_0 - ipykernel=6.29.3=pyhd33586a_0 - ipython=8.24.0=pyh707e725_0 - - ipython_genutils=0.2.0=py_1 + - ipython_genutils=0.2.0=pyhd8ed1ab_1 - ipywidgets=7.8.0=pyhd8ed1ab_0 - isort=5.13.2=pyhd8ed1ab_0 - jedi=0.19.1=pyhd8ed1ab_0 @@ -98,7 +98,7 @@ dependencies: - libbrotlidec=1.1.0=hd590300_1 - libbrotlienc=1.1.0=hd590300_1 - libcblas=3.9.0=16_linux64_mkl - - libcurl=8.7.1=hca28451_0 + - libcurl=8.8.0=hca28451_0 - libdeflate=1.20=hd590300_0 - libdlf=0.2.0=pyhd8ed1ab_0 - libedit=3.1.20191231=he28a2e2_2 @@ -107,7 +107,7 @@ dependencies: - libgcc-ng=13.2.0=h77fa898_7 - libgfortran-ng=13.2.0=h69a702a_7 - libgfortran5=13.2.0=hca663fb_7 - - libhwloc=2.10.0=default_h2fb2949_1000 + - libhwloc=2.10.0=default_h5622ce7_1001 - libiconv=1.17=hd590300_2 - libjpeg-turbo=3.0.0=hd590300_1 - liblapack=3.9.0=16_linux64_mkl @@ -151,15 +151,15 @@ dependencies: - nbformat=5.10.4=pyhd8ed1ab_0 - ncurses=6.5=h59595ed_0 - nest-asyncio=1.6.0=pyhd8ed1ab_0 - - notebook=6.5.6=pyha770c72_0 + - notebook=6.5.7=pyha770c72_0 - notebook-shim=0.2.4=pyhd8ed1ab_0 - numba=0.59.1=py310h7dc5dd1_0 - numcodecs=0.12.1=py310h76e45a6_1 - numpy=1.23.5=py310h53a5b5f_0 - openjpeg=2.5.2=h488ebb8_0 - - openssl=3.3.0=hd590300_0 + - openssl=3.3.0=h4ab18f5_2 - packaging=24.0=pyhd8ed1ab_0 - - pandas=2.2.2=py310hcc13569_0 + - pandas=2.2.2=py310hf9f9076_1 - pandoc=3.2=ha770c72_0 - pandocfilters=1.5.0=pyhd8ed1ab_0 - parso=0.8.4=pyhd8ed1ab_0 @@ -186,12 +186,12 @@ dependencies: - pydata-sphinx-theme=0.15.2=pyhd8ed1ab_0 - pydiso=0.0.3=py310h1dd1467_4 - pygments=2.18.0=pyhd8ed1ab_0 - - pylint=3.2.0=pyhd8ed1ab_0 + - pylint=3.2.2=pyhd8ed1ab_0 - pymatsolver=0.2.0=ha770c72_3 - pymatsolver-base=0.2.0=pyh44b312d_3 - pyparsing=3.1.2=pyhd8ed1ab_0 - pysocks=1.7.1=pyha2e5f31_6 - - pytest=8.2.0=pyhd8ed1ab_0 + - pytest=8.2.1=pyhd8ed1ab_0 - pytest-cov=5.0.0=pyhd8ed1ab_0 - python=3.10.14=hd12c33a_0_cpython - python-dateutil=2.9.0=pyhd8ed1ab_0 @@ -200,17 +200,17 @@ dependencies: - python_abi=3.10=4_cp310 - pytz=2024.1=pyhd8ed1ab_0 - pyyaml=6.0.1=py310h2372a71_1 - - pyzmq=24.0.1=py310h330234f_1 + - pyzmq=26.0.3=py310h6883aea_0 - readline=8.2=h8228510_1 - readthedocs-sphinx-ext=2.2.5=pyhd8ed1ab_0 - referencing=0.35.1=pyhd8ed1ab_0 - - requests=2.31.0=pyhd8ed1ab_0 + - requests=2.32.2=pyhd8ed1ab_0 - rpds-py=0.18.1=py310he421c4c_0 - - scikit-learn=1.4.2=py310h1fdf081_0 + - scikit-learn=1.4.2=py310h981052a_1 - scipy=1.10.1=py310ha4c1d20_3 - scooby=0.10.0=pyhd8ed1ab_0 - send2trash=1.8.3=pyh0d859eb_0 - - setuptools=69.5.1=pyhd8ed1ab_0 + - setuptools=70.0.0=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 - sniffio=1.3.1=pyhd8ed1ab_0 - snowballstemmer=2.2.0=pyhd8ed1ab_0 @@ -236,7 +236,7 @@ dependencies: - sqlalchemy=2.0.30=py310hc51659f_0 - stack_data=0.6.2=pyhd8ed1ab_0 - tabulate=0.9.0=pyhd8ed1ab_1 - - tbb=2021.12.0=h00ab1b0_0 + - tbb=2021.12.0=h297d8ca_1 - tblib=3.0.0=pyhd8ed1ab_0 - terminado=0.18.1=pyh0d859eb_0 - threadpoolctl=3.5.0=pyhc1e730c_0 @@ -271,11 +271,12 @@ dependencies: - zipp=3.17.0=pyhd8ed1ab_0 - zstd=1.5.6=ha6fb4c9_0 - pip: - - geoapps-utils === 0.3.0rc3 --hash=sha256:1910d089ee3c0c75cf6e1ed04072adb62d1d9ae8cf697bc100084df36f08f90f - - geoh5py === 0.9.0rc3 --hash=sha256:0dca13f0f5b4efb3d18c1384f2e7e95eea3684af2f5f6f3403c5252b4b2cd5dd - - mira-simpeg === 0.19.0.8rc3 --hash=sha256:d938a18468b8fad41057af548e3bf8c035a77d31718e7ac832a881349f5b7eea - - octree-creation-app === 0.1.0rc2 --hash=sha256:55aefbc40ce086f38652dfe73fa8d2354c3e214e37028504ea57f27819df215e - - param-sweeps === 0.1.7rc2 --hash=sha256:6666d31b8f8efeda93aab97bfdae5e8f2e01727234e55fd9f3c219f8e7b8eebd + - geoapps-utils @ https://github.com/MiraGeoscience/geoapps-utils/archive/refs/heads/develop.zip + - geoh5py @ https://github.com/MiraGeoscience/geoh5py/archive/refs/heads/develop.zip + - mira-simpeg @ https://github.com/MiraGeoscience/simpeg/archive/refs/heads/develop.zip + - octree-creation-app @ https://github.com/MiraGeoscience/octree-creation-app/archive/refs/heads/develop.zip + - param-sweeps @ https://github.com/MiraGeoscience/param-sweeps/archive/refs/heads/develop.zip + - setuptools-scm === 8.1.0 variables: KMP_WARNINGS: 0 diff --git a/environments/py-3.10-linux-64.conda.lock.yml b/environments/py-3.10-linux-64.conda.lock.yml index 48041d9a..8bd7b66e 100644 --- a/environments/py-3.10-linux-64.conda.lock.yml +++ b/environments/py-3.10-linux-64.conda.lock.yml @@ -1,13 +1,13 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: bccc771b487278167658656b7f4026f064a065f1113db83f3a891b4cde3e5eed +# input_hash: 8b411fb3b3ca1c853b9c8ef8e0438fd593e841ea81f99795108d4341f01139fc channels: - conda-forge dependencies: - _libgcc_mutex=0.1=conda_forge - _openmp_mutex=4.5=2_kmp_llvm - - annotated-types=0.6.0=pyhd8ed1ab_0 + - annotated-types=0.7.0=pyhd8ed1ab_0 - asciitree=0.3.3=py_2 - brotli=1.1.0=hd590300_1 - brotli-bin=1.1.0=hd590300_1 @@ -34,7 +34,7 @@ dependencies: - freetype=2.12.1=h267a509_2 - fsspec=2022.11.0=pyhd8ed1ab_0 - geoana=0.4.0=py310hbf28c38_1 - - h5py=3.11.0=nompi_py310h65828d5_100 + - h5py=3.11.0=nompi_py310hf054cd7_101 - hdf5=1.14.3=nompi_h4f84152_101 - icu=73.2=h59595ed_0 - idna=3.7=pyhd8ed1ab_0 @@ -52,7 +52,7 @@ dependencies: - libbrotlidec=1.1.0=hd590300_1 - libbrotlienc=1.1.0=hd590300_1 - libcblas=3.9.0=16_linux64_mkl - - libcurl=8.7.1=hca28451_0 + - libcurl=8.8.0=hca28451_0 - libdeflate=1.20=hd590300_0 - libdlf=0.2.0=pyhd8ed1ab_0 - libedit=3.1.20191231=he28a2e2_2 @@ -61,7 +61,7 @@ dependencies: - libgcc-ng=13.2.0=h77fa898_7 - libgfortran-ng=13.2.0=h69a702a_7 - libgfortran5=13.2.0=hca663fb_7 - - libhwloc=2.10.0=default_h2fb2949_1000 + - libhwloc=2.10.0=default_h5622ce7_1001 - libiconv=1.17=hd590300_2 - libjpeg-turbo=3.0.0=hd590300_1 - liblapack=3.9.0=16_linux64_mkl @@ -92,9 +92,9 @@ dependencies: - numcodecs=0.12.1=py310h76e45a6_1 - numpy=1.23.5=py310h53a5b5f_0 - openjpeg=2.5.2=h488ebb8_0 - - openssl=3.3.0=hd590300_0 + - openssl=3.3.0=h4ab18f5_2 - packaging=24.0=pyhd8ed1ab_0 - - pandas=2.2.2=py310hcc13569_0 + - pandas=2.2.2=py310hf9f9076_1 - partd=1.4.2=pyhd8ed1ab_0 - pillow=10.1.0=py310h01dd4db_0 - pip=24.0=pyhd8ed1ab_0 @@ -116,14 +116,14 @@ dependencies: - pytz=2024.1=pyhd8ed1ab_0 - pyyaml=6.0.1=py310h2372a71_1 - readline=8.2=h8228510_1 - - requests=2.31.0=pyhd8ed1ab_0 - - scikit-learn=1.4.2=py310h1fdf081_0 + - requests=2.32.2=pyhd8ed1ab_0 + - scikit-learn=1.4.2=py310h981052a_1 - scipy=1.10.1=py310ha4c1d20_3 - scooby=0.10.0=pyhd8ed1ab_0 - - setuptools=69.5.1=pyhd8ed1ab_0 + - setuptools=70.0.0=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 - sortedcontainers=2.4.0=pyhd8ed1ab_0 - - tbb=2021.12.0=h00ab1b0_0 + - tbb=2021.12.0=h297d8ca_1 - tblib=3.0.0=pyhd8ed1ab_0 - threadpoolctl=3.5.0=pyhc1e730c_0 - tk=8.6.13=noxft_h4845f30_101 @@ -145,11 +145,12 @@ dependencies: - zict=3.0.0=pyhd8ed1ab_0 - zstd=1.5.6=ha6fb4c9_0 - pip: - - geoapps-utils === 0.3.0rc3 --hash=sha256:1910d089ee3c0c75cf6e1ed04072adb62d1d9ae8cf697bc100084df36f08f90f - - geoh5py === 0.9.0rc3 --hash=sha256:0dca13f0f5b4efb3d18c1384f2e7e95eea3684af2f5f6f3403c5252b4b2cd5dd - - mira-simpeg === 0.19.0.8rc3 --hash=sha256:d938a18468b8fad41057af548e3bf8c035a77d31718e7ac832a881349f5b7eea - - octree-creation-app === 0.1.0rc2 --hash=sha256:55aefbc40ce086f38652dfe73fa8d2354c3e214e37028504ea57f27819df215e - - param-sweeps === 0.1.7rc2 --hash=sha256:6666d31b8f8efeda93aab97bfdae5e8f2e01727234e55fd9f3c219f8e7b8eebd + - geoapps-utils @ https://github.com/MiraGeoscience/geoapps-utils/archive/refs/heads/develop.zip + - geoh5py @ https://github.com/MiraGeoscience/geoh5py/archive/refs/heads/develop.zip + - mira-simpeg @ https://github.com/MiraGeoscience/simpeg/archive/refs/heads/develop.zip + - octree-creation-app @ https://github.com/MiraGeoscience/octree-creation-app/archive/refs/heads/develop.zip + - param-sweeps @ https://github.com/MiraGeoscience/param-sweeps/archive/refs/heads/develop.zip + - setuptools-scm === 8.1.0 variables: KMP_WARNINGS: 0 diff --git a/environments/py-3.10-win-64-dev.conda.lock.yml b/environments/py-3.10-win-64-dev.conda.lock.yml index e44808b4..c8e1770d 100644 --- a/environments/py-3.10-win-64-dev.conda.lock.yml +++ b/environments/py-3.10-win-64-dev.conda.lock.yml @@ -1,18 +1,18 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: 553322706257db27ea9595077dbac8d066cd9df05ea94f49c2966c469a90d789 +# input_hash: d5a759f87b26f5d21e1f82f9f5f7a8d5c840269d10b671eec171294c4908da15 channels: - conda-forge dependencies: - accessible-pygments=0.0.4=pyhd8ed1ab_0 - alabaster=0.7.16=pyhd8ed1ab_0 - - annotated-types=0.6.0=pyhd8ed1ab_0 + - annotated-types=0.7.0=pyhd8ed1ab_0 - anyio=3.7.1=pyhd8ed1ab_0 - argon2-cffi=23.1.0=pyhd8ed1ab_0 - argon2-cffi-bindings=21.2.0=py310h8d17308_4 - asciitree=0.3.3=py_2 - - astroid=3.2.0=py310h5588dad_0 + - astroid=3.2.2=py310h5588dad_0 - asttokens=2.4.1=pyhd8ed1ab_0 - attrs=23.2.0=pyh71513ae_0 - babel=2.14.0=pyhd8ed1ab_0 @@ -55,7 +55,7 @@ dependencies: - fsspec=2022.11.0=pyhd8ed1ab_0 - geoana=0.4.0=py310h232114e_1 - greenlet=3.0.3=py310h00ffb61_0 - - h5py=3.11.0=nompi_py310hde4a0ea_100 + - h5py=3.11.0=nompi_py310h2b0be38_101 - hdf5=1.14.3=nompi_h73e8ff5_101 - idna=3.7=pyhd8ed1ab_0 - imagesize=1.4.1=pyhd8ed1ab_0 @@ -66,7 +66,7 @@ dependencies: - intel-openmp=2024.1.0=h57928b3_965 - ipykernel=6.29.3=pyha63f2e9_0 - ipython=8.24.0=pyh7428d3b_0 - - ipython_genutils=0.2.0=py_1 + - ipython_genutils=0.2.0=pyhd8ed1ab_1 - ipywidgets=7.8.0=pyhd8ed1ab_0 - isort=5.13.2=pyhd8ed1ab_0 - jedi=0.19.1=pyhd8ed1ab_0 @@ -93,11 +93,11 @@ dependencies: - libbrotlidec=1.1.0=hcfcfb64_1 - libbrotlienc=1.1.0=hcfcfb64_1 - libcblas=3.9.0=18_win64_mkl - - libcurl=8.7.1=hd5e4a3a_0 + - libcurl=8.8.0=hd5e4a3a_0 - libdeflate=1.20=hcfcfb64_0 - libdlf=0.2.0=pyhd8ed1ab_0 - libffi=3.4.2=h8ffe710_5 - - libhwloc=2.10.0=default_h2fffb23_1000 + - libhwloc=2.10.0=default_h8125262_1001 - libiconv=1.17=hcfcfb64_2 - libjpeg-turbo=3.0.0=hcfcfb64_1 - liblapack=3.9.0=18_win64_mkl @@ -139,15 +139,15 @@ dependencies: - nbconvert-pandoc=7.16.4=hd8ed1ab_0 - nbformat=5.10.4=pyhd8ed1ab_0 - nest-asyncio=1.6.0=pyhd8ed1ab_0 - - notebook=6.5.6=pyha770c72_0 + - notebook=6.5.7=pyha770c72_0 - notebook-shim=0.2.4=pyhd8ed1ab_0 - numba=0.59.1=py310h9ccaf4f_0 - numcodecs=0.12.1=py310h9e98ed7_1 - numpy=1.23.5=py310h4a8f9c9_0 - openjpeg=2.5.2=h3d672ee_0 - - openssl=3.3.0=hcfcfb64_0 + - openssl=3.3.0=h2466b09_2 - packaging=24.0=pyhd8ed1ab_0 - - pandas=2.2.2=py310hecd3228_0 + - pandas=2.2.2=py310hb4db72f_1 - pandoc=3.2=h57928b3_0 - pandocfilters=1.5.0=pyhd8ed1ab_0 - parso=0.8.4=pyhd8ed1ab_0 @@ -173,12 +173,12 @@ dependencies: - pydata-sphinx-theme=0.15.2=pyhd8ed1ab_0 - pydiso=0.0.3=py310h847dae0_4 - pygments=2.18.0=pyhd8ed1ab_0 - - pylint=3.2.0=pyhd8ed1ab_0 + - pylint=3.2.2=pyhd8ed1ab_0 - pymatsolver=0.2.0=ha770c72_3 - pymatsolver-base=0.2.0=pyh44b312d_3 - pyparsing=3.1.2=pyhd8ed1ab_0 - pysocks=1.7.1=pyh0701188_6 - - pytest=8.2.0=pyhd8ed1ab_0 + - pytest=8.2.1=pyhd8ed1ab_0 - pytest-cov=5.0.0=pyhd8ed1ab_0 - python=3.10.14=h4de0772_0_cpython - python-dateutil=2.9.0=pyhd8ed1ab_0 @@ -189,16 +189,16 @@ dependencies: - pywin32=306=py310h00ffb61_2 - pywinpty=2.0.13=py310h00ffb61_0 - pyyaml=6.0.1=py310h8d17308_1 - - pyzmq=24.0.1=py310hcd737a0_1 + - pyzmq=26.0.3=py310h656833d_0 - readthedocs-sphinx-ext=2.2.5=pyhd8ed1ab_0 - referencing=0.35.1=pyhd8ed1ab_0 - - requests=2.31.0=pyhd8ed1ab_0 + - requests=2.32.2=pyhd8ed1ab_0 - rpds-py=0.18.1=py310hc226416_0 - - scikit-learn=1.4.2=py310hfd2573f_0 + - scikit-learn=1.4.2=py310hf2a6c47_1 - scipy=1.10.1=py310h578b7cb_3 - scooby=0.10.0=pyhd8ed1ab_0 - send2trash=1.8.3=pyh5737063_0 - - setuptools=69.5.1=pyhd8ed1ab_0 + - setuptools=70.0.0=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 - sniffio=1.3.1=pyhd8ed1ab_0 - snowballstemmer=2.2.0=pyhd8ed1ab_0 @@ -224,7 +224,7 @@ dependencies: - sqlalchemy=2.0.30=py310ha8f682b_0 - stack_data=0.6.2=pyhd8ed1ab_0 - tabulate=0.9.0=pyhd8ed1ab_1 - - tbb=2021.12.0=h91493d7_0 + - tbb=2021.12.0=hc790b64_1 - tblib=3.0.0=pyhd8ed1ab_0 - terminado=0.18.1=pyh5737063_0 - threadpoolctl=3.5.0=pyhc1e730c_0 @@ -245,9 +245,9 @@ dependencies: - unicodedata2=15.1.0=py310h8d17308_0 - urllib3=2.2.1=pyhd8ed1ab_0 - utm=0.7.0=pyhd8ed1ab_0 - - vc=14.3=hcf57466_18 - - vc14_runtime=14.38.33130=h82b7239_18 - - vs2015_runtime=14.38.33130=hcb4865c_18 + - vc=14.3=ha32ba9b_20 + - vc14_runtime=14.38.33135=h835141b_20 + - vs2015_runtime=14.38.33135=h22015db_20 - wcwidth=0.2.13=pyhd8ed1ab_0 - webencodings=0.5.1=pyhd8ed1ab_2 - websocket-client=1.8.0=pyhd8ed1ab_0 @@ -260,16 +260,17 @@ dependencies: - xz=5.2.6=h8d14728_0 - yaml=0.2.5=h8ffe710_2 - zarr=2.14.2=pyhd8ed1ab_0 - - zeromq=4.3.4=h0e60522_1 + - zeromq=4.3.5=he1f189c_4 - zict=3.0.0=pyhd8ed1ab_0 - zipp=3.17.0=pyhd8ed1ab_0 - zstd=1.5.6=h0ea2cb4_0 - pip: - - geoapps-utils === 0.3.0rc3 --hash=sha256:1910d089ee3c0c75cf6e1ed04072adb62d1d9ae8cf697bc100084df36f08f90f - - geoh5py === 0.9.0rc3 --hash=sha256:0dca13f0f5b4efb3d18c1384f2e7e95eea3684af2f5f6f3403c5252b4b2cd5dd - - mira-simpeg === 0.19.0.8rc3 --hash=sha256:d938a18468b8fad41057af548e3bf8c035a77d31718e7ac832a881349f5b7eea - - octree-creation-app === 0.1.0rc2 --hash=sha256:55aefbc40ce086f38652dfe73fa8d2354c3e214e37028504ea57f27819df215e - - param-sweeps === 0.1.7rc2 --hash=sha256:6666d31b8f8efeda93aab97bfdae5e8f2e01727234e55fd9f3c219f8e7b8eebd + - geoapps-utils @ https://github.com/MiraGeoscience/geoapps-utils/archive/refs/heads/develop.zip + - geoh5py @ https://github.com/MiraGeoscience/geoh5py/archive/refs/heads/develop.zip + - mira-simpeg @ https://github.com/MiraGeoscience/simpeg/archive/refs/heads/develop.zip + - octree-creation-app @ https://github.com/MiraGeoscience/octree-creation-app/archive/refs/heads/develop.zip + - param-sweeps @ https://github.com/MiraGeoscience/param-sweeps/archive/refs/heads/develop.zip + - setuptools-scm === 8.1.0 variables: KMP_WARNINGS: 0 diff --git a/environments/py-3.10-win-64.conda.lock.yml b/environments/py-3.10-win-64.conda.lock.yml index 36219377..5f2d80ff 100644 --- a/environments/py-3.10-win-64.conda.lock.yml +++ b/environments/py-3.10-win-64.conda.lock.yml @@ -1,11 +1,11 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: 553322706257db27ea9595077dbac8d066cd9df05ea94f49c2966c469a90d789 +# input_hash: d5a759f87b26f5d21e1f82f9f5f7a8d5c840269d10b671eec171294c4908da15 channels: - conda-forge dependencies: - - annotated-types=0.6.0=pyhd8ed1ab_0 + - annotated-types=0.7.0=pyhd8ed1ab_0 - asciitree=0.3.3=py_2 - brotli=1.1.0=hcfcfb64_1 - brotli-bin=1.1.0=hcfcfb64_1 @@ -31,7 +31,7 @@ dependencies: - freetype=2.12.1=hdaf720e_2 - fsspec=2022.11.0=pyhd8ed1ab_0 - geoana=0.4.0=py310h232114e_1 - - h5py=3.11.0=nompi_py310hde4a0ea_100 + - h5py=3.11.0=nompi_py310h2b0be38_101 - hdf5=1.14.3=nompi_h73e8ff5_101 - idna=3.7=pyhd8ed1ab_0 - intel-openmp=2024.1.0=h57928b3_965 @@ -47,11 +47,11 @@ dependencies: - libbrotlidec=1.1.0=hcfcfb64_1 - libbrotlienc=1.1.0=hcfcfb64_1 - libcblas=3.9.0=18_win64_mkl - - libcurl=8.7.1=hd5e4a3a_0 + - libcurl=8.8.0=hd5e4a3a_0 - libdeflate=1.20=hcfcfb64_0 - libdlf=0.2.0=pyhd8ed1ab_0 - libffi=3.4.2=h8ffe710_5 - - libhwloc=2.10.0=default_h2fffb23_1000 + - libhwloc=2.10.0=default_h8125262_1001 - libiconv=1.17=hcfcfb64_2 - libjpeg-turbo=3.0.0=hcfcfb64_1 - liblapack=3.9.0=18_win64_mkl @@ -80,9 +80,9 @@ dependencies: - numcodecs=0.12.1=py310h9e98ed7_1 - numpy=1.23.5=py310h4a8f9c9_0 - openjpeg=2.5.2=h3d672ee_0 - - openssl=3.3.0=hcfcfb64_0 + - openssl=3.3.0=h2466b09_2 - packaging=24.0=pyhd8ed1ab_0 - - pandas=2.2.2=py310hecd3228_0 + - pandas=2.2.2=py310hb4db72f_1 - partd=1.4.2=pyhd8ed1ab_0 - pillow=10.1.0=py310h1e6a543_0 - pip=24.0=pyhd8ed1ab_0 @@ -104,14 +104,14 @@ dependencies: - python_abi=3.10=4_cp310 - pytz=2024.1=pyhd8ed1ab_0 - pyyaml=6.0.1=py310h8d17308_1 - - requests=2.31.0=pyhd8ed1ab_0 - - scikit-learn=1.4.2=py310hfd2573f_0 + - requests=2.32.2=pyhd8ed1ab_0 + - scikit-learn=1.4.2=py310hf2a6c47_1 - scipy=1.10.1=py310h578b7cb_3 - scooby=0.10.0=pyhd8ed1ab_0 - - setuptools=69.5.1=pyhd8ed1ab_0 + - setuptools=70.0.0=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 - sortedcontainers=2.4.0=pyhd8ed1ab_0 - - tbb=2021.12.0=h91493d7_0 + - tbb=2021.12.0=hc790b64_1 - tblib=3.0.0=pyhd8ed1ab_0 - threadpoolctl=3.5.0=pyhc1e730c_0 - tk=8.6.13=h5226925_1 @@ -125,9 +125,9 @@ dependencies: - unicodedata2=15.1.0=py310h8d17308_0 - urllib3=2.2.1=pyhd8ed1ab_0 - utm=0.7.0=pyhd8ed1ab_0 - - vc=14.3=hcf57466_18 - - vc14_runtime=14.38.33130=h82b7239_18 - - vs2015_runtime=14.38.33130=hcb4865c_18 + - vc=14.3=ha32ba9b_20 + - vc14_runtime=14.38.33135=h835141b_20 + - vs2015_runtime=14.38.33135=h22015db_20 - wheel=0.43.0=pyhd8ed1ab_1 - win_inet_pton=1.1.0=pyhd8ed1ab_6 - xorg-libxau=1.0.11=hcd874cb_0 @@ -138,11 +138,12 @@ dependencies: - zict=3.0.0=pyhd8ed1ab_0 - zstd=1.5.6=h0ea2cb4_0 - pip: - - geoapps-utils === 0.3.0rc3 --hash=sha256:1910d089ee3c0c75cf6e1ed04072adb62d1d9ae8cf697bc100084df36f08f90f - - geoh5py === 0.9.0rc3 --hash=sha256:0dca13f0f5b4efb3d18c1384f2e7e95eea3684af2f5f6f3403c5252b4b2cd5dd - - mira-simpeg === 0.19.0.8rc3 --hash=sha256:d938a18468b8fad41057af548e3bf8c035a77d31718e7ac832a881349f5b7eea - - octree-creation-app === 0.1.0rc2 --hash=sha256:55aefbc40ce086f38652dfe73fa8d2354c3e214e37028504ea57f27819df215e - - param-sweeps === 0.1.7rc2 --hash=sha256:6666d31b8f8efeda93aab97bfdae5e8f2e01727234e55fd9f3c219f8e7b8eebd + - geoapps-utils @ https://github.com/MiraGeoscience/geoapps-utils/archive/refs/heads/develop.zip + - geoh5py @ https://github.com/MiraGeoscience/geoh5py/archive/refs/heads/develop.zip + - mira-simpeg @ https://github.com/MiraGeoscience/simpeg/archive/refs/heads/develop.zip + - octree-creation-app @ https://github.com/MiraGeoscience/octree-creation-app/archive/refs/heads/develop.zip + - param-sweeps @ https://github.com/MiraGeoscience/param-sweeps/archive/refs/heads/develop.zip + - setuptools-scm === 8.1.0 variables: KMP_WARNINGS: 0 diff --git a/py-3.10.conda-lock.yml b/py-3.10.conda-lock.yml index ec62c507..6331047f 100644 --- a/py-3.10.conda-lock.yml +++ b/py-3.10.conda-lock.yml @@ -15,8 +15,8 @@ version: 1 metadata: content_hash: - win-64: 553322706257db27ea9595077dbac8d066cd9df05ea94f49c2966c469a90d789 - linux-64: bccc771b487278167658656b7f4026f064a065f1113db83f3a891b4cde3e5eed + win-64: d5a759f87b26f5d21e1f82f9f5f7a8d5c840269d10b671eec171294c4908da15 + linux-64: 8b411fb3b3ca1c853b9c8ef8e0438fd593e841ea81f99795108d4341f01139fc channels: - url: conda-forge used_env_vars: [] @@ -102,29 +102,29 @@ package: category: dev optional: true - 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name: anyio @@ -244,31 +244,31 @@ package: category: main optional: false - name: astroid - version: 3.2.0 + version: 3.2.2 manager: conda platform: linux-64 dependencies: python: '>=3.10,<3.11.0a0' python_abi: 3.10.* typing-extensions: '>=4.0.0' - url: https://conda.anaconda.org/conda-forge/linux-64/astroid-3.2.0-py310hff52083_0.conda + url: https://conda.anaconda.org/conda-forge/linux-64/astroid-3.2.2-py310hff52083_0.conda hash: - md5: 5812e48bea23f7e0988efae6f7253edf - sha256: ee3cfccd94ff102bbc570c3803377311e49b67897d1916d04527e8b05c374ba4 + md5: 05ed062ee2ba7319981fce0434193d19 + sha256: 02d9b997194f546b1df7046ea624dbfc56e7f0e7ba83dccfb7ead879b907f37a category: dev optional: true - name: astroid - version: 3.2.0 + version: 3.2.2 manager: conda platform: win-64 dependencies: python: '>=3.10,<3.11.0a0' python_abi: 3.10.* typing-extensions: '>=4.0.0' - url: https://conda.anaconda.org/conda-forge/win-64/astroid-3.2.0-py310h5588dad_0.conda + url: https://conda.anaconda.org/conda-forge/win-64/astroid-3.2.2-py310h5588dad_0.conda hash: - 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hash: - sha256: 55aefbc40ce086f38652dfe73fa8d2354c3e214e37028504ea57f27819df215e + url: https://github.com/MiraGeoscience/octree-creation-app/archive/refs/heads/develop.zip + hash: {} category: main + source: + type: url + url: https://github.com/MiraGeoscience/octree-creation-app/archive/refs/heads/develop.zip optional: false - name: param-sweeps - version: 0.1.7rc2 + version: 0.1.8 manager: pip platform: linux-64 dependencies: - geoh5py: '>=0.9.0rc1,<0.10.0' + geoh5py: 0.10.0a1 numpy: '>=1.23.5,<1.24.0' - url: https://mirageoscienceltd.jfrog.io/artifactory/api/pypi/analyst-pypi-local/param-sweeps/0.1.7rc2/param_sweeps-0.1.7rc2-py3-none-any.whl - hash: - sha256: 6666d31b8f8efeda93aab97bfdae5e8f2e01727234e55fd9f3c219f8e7b8eebd + url: https://github.com/MiraGeoscience/param-sweeps/archive/refs/heads/develop.zip + hash: {} category: main + source: + type: url + url: https://github.com/MiraGeoscience/param-sweeps/archive/refs/heads/develop.zip optional: false - name: param-sweeps - version: 0.1.7rc2 + version: 0.1.8 manager: pip platform: win-64 dependencies: - geoh5py: '>=0.9.0rc1,<0.10.0' + geoh5py: 0.10.0a1 numpy: '>=1.23.5,<1.24.0' - url: https://mirageoscienceltd.jfrog.io/artifactory/api/pypi/analyst-pypi-local/param-sweeps/0.1.7rc2/param_sweeps-0.1.7rc2-py3-none-any.whl + url: https://github.com/MiraGeoscience/param-sweeps/archive/refs/heads/develop.zip + hash: {} + category: main + source: + type: url + url: https://github.com/MiraGeoscience/param-sweeps/archive/refs/heads/develop.zip + optional: false +- name: setuptools-scm + version: 8.1.0 + manager: pip + platform: linux-64 + dependencies: + packaging: '>=20' + tomli: '>=1' + url: https://files.pythonhosted.org/packages/a0/b9/1906bfeb30f2fc13bb39bf7ddb8749784c05faadbd18a21cf141ba37bff2/setuptools_scm-8.1.0-py3-none-any.whl + hash: + sha256: 897a3226a6fd4a6eb2f068745e49733261a21f70b1bb28fce0339feb978d9af3 + category: main + optional: false +- name: setuptools-scm + version: 8.1.0 + manager: pip + platform: win-64 + dependencies: + packaging: '>=20' + tomli: '>=1' + url: https://files.pythonhosted.org/packages/a0/b9/1906bfeb30f2fc13bb39bf7ddb8749784c05faadbd18a21cf141ba37bff2/setuptools_scm-8.1.0-py3-none-any.whl hash: - sha256: 6666d31b8f8efeda93aab97bfdae5e8f2e01727234e55fd9f3c219f8e7b8eebd + sha256: 897a3226a6fd4a6eb2f068745e49733261a21f70b1bb28fce0339feb978d9af3 category: main optional: false diff --git a/pyproject.toml b/pyproject.toml index 08b4f8f0..5abfb31a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -37,24 +37,24 @@ zarr = "~2.14.2" # also in simpeg[dask] ## Pip dependencies from Git repositories #---------------------------------------- -geoh5py = {version = "~0.9.0rc1", source = "pypi", allow-prereleases = true} -#geoh5py = {url = "https://github.com/MiraGeoscience/geoh5py/archive/refs/heads/release/0.9.0.zip#sha256="} +#geoh5py = {version = "~0.9.0rc1", source = "pypi", allow-prereleases = true} +geoh5py = {url = "https://github.com/MiraGeoscience/geoh5py/archive/refs/heads/develop.zip"} #geoh5py = {url = "http://localhost:8888/geoh5py.tar.gz#sha256="} -octree-creation-app = {version = "~0.1.0rc2", source = "pypi", allow-prereleases = true} -#octree-creation-app = {url = "https://github.com/MiraGeoscience/octree-creation-app/archive/refs/heads/release/0.1.0.zip#sha256="} +#octree-creation-app = {version = "~0.1.0rc2", source = "pypi", allow-prereleases = true} +octree-creation-app = {url = "https://github.com/MiraGeoscience/octree-creation-app/archive/refs/heads/develop.zip"} #octree-creation-app = {url = "http://localhost:8888/octree-creation-app.tar.gz#sha256="} -geoapps-utils = {version = "~0.3.0rc1", source = "pypi", allow-prereleases = true} -#geoapps-utils = {url = "https://github.com/MiraGeoscience/geoapps-utils/archive/refs/heads/release/0.3.0.zip#sha256="} +#geoapps-utils = {version = "~0.3.0rc1", source = "pypi", allow-prereleases = true} +geoapps-utils = {url = "https://github.com/MiraGeoscience/geoapps-utils/archive/refs/heads/develop.zip"} #geoapps-utils = {url = "http://localhost:8888/geoapps-utils.tar.gz#sha256="} -mira-simpeg = {version = ">=0.19.0.8rc3,<0.19.0.9.dev", source = "pypi", allow-prereleases = true} -#mira-simpeg = {url = "https://github.com/MiraGeoscience/simpeg/archive/refs/heads/release/0.19.0.8.zip#sha256="} +#mira-simpeg = {version = ">=0.19.0.8rc3,<0.19.0.9.dev", source = "pypi", allow-prereleases = true} +mira-simpeg = {url = "https://github.com/MiraGeoscience/simpeg/archive/refs/heads/develop.zip"} #mira-simpeg = {url = "http://localhost:8888/mira-simpeg.tar.gz#sha256="} -param-sweeps = {version = "~0.1.7rc1", source = "pypi", allow-prereleases = true} -#param-sweeps = {url = "https://github.com/MiraGeoscience/param-sweeps/archive/refs/heads/release/0.1.7.zip#sha256="} +#param-sweeps = {version = "~0.1.7rc1", source = "pypi", allow-prereleases = true} +param-sweeps = {url = "https://github.com/MiraGeoscience/param-sweeps/archive/refs/heads/develop.zip"} #param-sweeps = {url = "http://localhost:8888/param-sweeps.tar.gz#sha256="} ## indirect dependencies, forcing them here for installation through Conda not pip From 7244d50c14b20dc398cd933163c56537c9290649 Mon Sep 17 00:00:00 2001 From: dominiquef Date: Thu, 23 May 2024 14:06:42 -0700 Subject: [PATCH 008/350] Update import --- simpeg_drivers/joint/params.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/simpeg_drivers/joint/params.py b/simpeg_drivers/joint/params.py index 84245415..16375dd2 100644 --- a/simpeg_drivers/joint/params.py +++ b/simpeg_drivers/joint/params.py @@ -18,7 +18,7 @@ from __future__ import annotations -from geoh5py.groups.simpeg_group import SimPEGGroup +from geoh5py.groups import SimPEGGroup from simpeg_drivers.params import InversionBaseParams From 21f33a4c711a55774b9d7563c043a8a8d0f2295c Mon Sep 17 00:00:00 2001 From: dominiquef Date: Wed, 29 May 2024 14:59:29 -0700 Subject: [PATCH 009/350] Fix tile id on save directives --- simpeg_drivers/joint/joint_surveys/driver.py | 27 ++++++++++---------- 1 file changed, 13 insertions(+), 14 deletions(-) diff --git a/simpeg_drivers/joint/joint_surveys/driver.py b/simpeg_drivers/joint/joint_surveys/driver.py index a84ee660..4c5adee6 100644 --- a/simpeg_drivers/joint/joint_surveys/driver.py +++ b/simpeg_drivers/joint/joint_surveys/driver.py @@ -84,29 +84,28 @@ def directives(self): count = 0 for driver in self.drivers: driver_directives = DirectivesFactory(driver) - save_data = driver_directives.save_iteration_data_directive - - n_tiles = len(driver.data_misfit.objfcts) - save_data.joint_index = [count + ii for ii in range(n_tiles)] - count += n_tiles save_model = driver_directives.save_iteration_model_directive save_model.transforms = [ driver.data_misfit.model_map ] + save_model.transforms - directives_list += [ - save_data, - save_model, - ] + directives_list.append(save_model) - for directive in [ + n_tiles = len(driver.data_misfit.objfcts) + for name in [ + "save_iteration_data_directive", + "save_iteration_residual_directive", "save_iteration_apparent_resistivity_directive", "vector_inversion_directive", ]: - if getattr(driver_directives, directive) is not None: - directives_list.append( - getattr(driver_directives, directive) - ) + directive = getattr(driver_directives, name) + if directive is not None: + directive.joint_index = [ + count + ii for ii in range(n_tiles) + ] + directives_list.append(directive) + + count += n_tiles self._directives = DirectivesFactory(self) global_model_save = self._directives.save_iteration_model_directive From 99530d19ea3242dd53e6d64f07e7c392d3c1b0e7 Mon Sep 17 00:00:00 2001 From: dominiquef Date: Thu, 30 May 2024 07:53:39 -0700 Subject: [PATCH 010/350] Update imports --- simpeg_drivers/joint/__init__.py | 16 ++++++++++++++++ simpeg_drivers/joint/joint_surveys/driver.py | 7 ++----- 2 files changed, 18 insertions(+), 5 deletions(-) create mode 100644 simpeg_drivers/joint/__init__.py diff --git a/simpeg_drivers/joint/__init__.py b/simpeg_drivers/joint/__init__.py new file mode 100644 index 00000000..de3a54f7 --- /dev/null +++ b/simpeg_drivers/joint/__init__.py @@ -0,0 +1,16 @@ +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' +# Copyright (c) 2023-2024 Mira Geoscience Ltd. +# All rights reserved. +# +# This file is part of simpeg-drivers. +# +# The software and information contained herein are proprietary to, and +# comprise valuable trade secrets of, Mira Geoscience, which +# intend to preserve as trade secrets such software and information. +# This software is furnished pursuant to a written license agreement and +# may be used, copied, transmitted, and stored only in accordance with +# the terms of such license and with the inclusion of the above copyright +# notice. This software and information or any other copies thereof may +# not be provided or otherwise made available to any other person. +# +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' diff --git a/simpeg_drivers/joint/joint_surveys/driver.py b/simpeg_drivers/joint/joint_surveys/driver.py index 4c5adee6..30801a2e 100644 --- a/simpeg_drivers/joint/joint_surveys/driver.py +++ b/simpeg_drivers/joint/joint_surveys/driver.py @@ -16,17 +16,14 @@ # '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' -# pylint: disable=unexpected-keyword-arg, no-value-for-parameter - from __future__ import annotations import numpy as np from geoh5py.shared.utils import fetch_active_workspace from SimPEG import maps -from simpeg_drivers.components.factories import DirectivesFactory -from simpeg_drivers.joint.driver import BaseJointDriver - +from ...components.factories import DirectivesFactory +from ...joint.driver import BaseJointDriver from .constants import validations from .params import JointSurveysParams From e6a1da5ae9098fc610f4901b8ccb8cd1c64378dc Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Sat, 1 Jun 2024 12:07:00 +0000 Subject: [PATCH 011/350] Bump peter-evans/create-or-update-comment from 3 to 4 Bumps [peter-evans/create-or-update-comment](https://github.com/peter-evans/create-or-update-comment) from 3 to 4. - [Release notes](https://github.com/peter-evans/create-or-update-comment/releases) - [Commits](https://github.com/peter-evans/create-or-update-comment/compare/v3...v4) --- updated-dependencies: - dependency-name: peter-evans/create-or-update-comment dependency-type: direct:production update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] --- .github/workflows/issue_to_jira.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/issue_to_jira.yml b/.github/workflows/issue_to_jira.yml index 1401104b..dfae2a4a 100644 --- a/.github/workflows/issue_to_jira.yml +++ b/.github/workflows/issue_to_jira.yml @@ -28,7 +28,7 @@ jobs: # Additional fields in JSON format #fields: '{"components": [{"name": "my-app"}]}' - name: Post JIRA link - uses: peter-evans/create-or-update-comment@v3 + uses: peter-evans/create-or-update-comment@v4 with: # The number of the issue or pull request in which to create a comment. issue-number: ${{ github.event.issue.number }} From def38125f2a39e8bec32da12108663d25fdd3071 Mon Sep 17 00:00:00 2001 From: dominiquef Date: Sun, 9 Jun 2024 14:24:34 -0700 Subject: [PATCH 012/350] Bulk name change --- simpeg_drivers/__init__.py | 2 +- simpeg_drivers/components/data.py | 4 +- .../factories/directives_factory.py | 324 +++++++++++++++++- .../components/factories/misfit_factory.py | 2 +- .../components/factories/receiver_factory.py | 20 +- .../factories/simulation_factory.py | 24 +- .../components/factories/source_factory.py | 18 +- .../components/factories/survey_factory.py | 16 +- simpeg_drivers/components/models.py | 2 +- simpeg_drivers/driver.py | 4 +- simpeg_drivers/joint/driver.py | 4 +- .../joint/joint_cross_gradient/driver.py | 6 +- simpeg_drivers/joint/joint_surveys/driver.py | 2 +- .../natural_sources/tipper/constants.py | 2 +- simpeg_drivers/utils/surveys.py | 2 +- simpeg_drivers/utils/testing.py | 2 +- simpeg_drivers/utils/utils.py | 8 +- tests/data_test.py | 4 +- 18 files changed, 372 insertions(+), 74 deletions(-) diff --git a/simpeg_drivers/__init__.py b/simpeg_drivers/__init__.py index 3af2c0bc..95216ab9 100644 --- a/simpeg_drivers/__init__.py +++ b/simpeg_drivers/__init__.py @@ -24,7 +24,7 @@ from pathlib import Path -from SimPEG import dask +from simpeg import dask from simpeg_drivers.constants import default_ui_json from simpeg_drivers.params import InversionBaseParams diff --git a/simpeg_drivers/components/data.py b/simpeg_drivers/components/data.py index 8e49c428..09dfe6ed 100644 --- a/simpeg_drivers/components/data.py +++ b/simpeg_drivers/components/data.py @@ -30,8 +30,8 @@ import numpy as np from discretize import TreeMesh from scipy.spatial import cKDTree -from SimPEG import maps -from SimPEG.electromagnetics.static.utils.static_utils import geometric_factor +from simpeg import maps +from simpeg.electromagnetics.static.utils.static_utils import geometric_factor from simpeg_drivers.utils.utils import create_nested_mesh, drape_2_tensor diff --git a/simpeg_drivers/components/factories/directives_factory.py b/simpeg_drivers/components/factories/directives_factory.py index 64a3b032..fcc728fc 100644 --- a/simpeg_drivers/components/factories/directives_factory.py +++ b/simpeg_drivers/components/factories/directives_factory.py @@ -21,11 +21,16 @@ from __future__ import annotations +from datetime import datetime +from pathlib import Path from typing import TYPE_CHECKING import numpy as np -from SimPEG import directives, maps -from SimPEG.utils.mat_utils import cartesian2amplitude_dip_azimuth +from geoh5py import Workspace +from geoh5py.objects import ObjectBase +from simpeg import directives, maps +from simpeg.maps import IdentityMap +from simpeg.utils.mat_utils import cartesian2amplitude_dip_azimuth from simpeg_drivers.components.factories.simpeg_factory import SimPEGFactory @@ -48,6 +53,7 @@ def __init__(self, driver: InversionDriver): self._save_iteration_data_directive = None self._save_iteration_residual_directive = None self._save_iteration_apparent_resistivity_directive = None + self._save_iteration_sensitivity_directive = None @property def beta_estimate_by_eigenvalues_directive(self): @@ -68,10 +74,11 @@ def beta_estimate_by_eigenvalues_directive(self): def directive_list(self): """List of directives to be used in inversion.""" if self._directive_list is None: - self._directive_list = self.save_directives if not self.params.forward_only: - self._directive_list += self.inversion_directives + self._directive_list = self.inversion_directives + self.save_directives + else: + self._directive_list = self.save_directives return self._directive_list @@ -110,6 +117,7 @@ def save_directives(self): "save_iteration_data_directive", "save_iteration_residual_directive", "save_iteration_apparent_resistivity_directive", + "save_iteration_sensitivity_directive", ]: if getattr(self, directive) is not None: directives_list.append(getattr(self, directive)) @@ -162,6 +170,20 @@ def save_iteration_model_directive(self): ) return self._save_iteration_model_directive + @property + def save_iteration_sensitivity_directive(self): + """""" + if self._save_iteration_sensitivity_directive is None: + self._save_iteration_sensitivity_directive = SaveIterationGeoh5Factory( + self.params + ).build( + inversion_object=self.driver.inversion_mesh, + active_cells=self.driver.models.active_cells, + save_objective_function=True, + name="Sensitivities", + ) + return self._save_iteration_sensitivity_directive + @property def save_iteration_residual_directive(self): """""" @@ -185,7 +207,7 @@ def update_irls_directive(self): """Directive to update IRLS.""" if self._update_irls_directive is None: has_chi_start = self.params.starting_chi_factor is not None - self._update_irls_directive = directives.Update_IRLS( + self._update_irls_directive = directives.UpdateIRLS( f_min_change=self.params.f_min_change, max_irls_iterations=self.params.max_irls_iterations, max_beta_iterations=self.params.max_global_iterations, @@ -250,7 +272,7 @@ def __init__(self, params): self.simpeg_object = self.concrete_object() def concrete_object(self): - return directives.SaveIterationsGeoH5 + return SaveIterationsGeoH5 def assemble_arguments( self, @@ -355,17 +377,25 @@ def assemble_keyword_arguments( active_cells_map, ] - if self.factory_type in [ - "direct current 3d", - "direct current 2d", - "magnetotellurics", - "tipper", - "tdem", - "fem", - ]: + if ( + self.factory_type + in [ + "direct current 3d", + "direct current 2d", + "magnetotellurics", + "tipper", + "tdem", + "fem", + ] + and name != "Sensitivities" + ): expmap = maps.ExpMap(inversion_object.mesh) kwargs["transforms"] = [expmap * active_cells_map] + if name == "Sensitivities": + kwargs["attribute_type"] = "sensitivities" + kwargs["label"] = "J" + return kwargs @staticmethod @@ -582,3 +612,269 @@ def reshape(values): } return kwargs + + +class SaveIterationsGeoH5(directives.InversionDirective): + """ + Saves inversion results to a geoh5 file + """ + + def __init__(self, h5_object, **kwargs): + self.data_type = {} + self._association = None + self.attribute_type = "model" + self._label = None + self.channels = [""] + self.components = [""] + self._h5_object = None + self._workspace = None + self._transforms: list = [] + self.save_objective_function = False + self.sorting = None + self._reshape = None + self.h5_object = h5_object + self._joint_index = None + super().__init__( + inversion=None, dmisfit=None, reg=None, verbose=False, **kwargs + ) + + def initialize(self): + self.save_components(0) + + if self.save_objective_function: + self.write_update(0) + self.save_log() + + def endIter(self): + self.save_components(self.opt.iter) + + if self.save_objective_function: + self.write_update(self.opt.iter) + self.save_log() + + def stack_channels(self, dpred: list): + """ + Regroup channel values along rows. + """ + if isinstance(dpred, np.ndarray): + return self.reshape(dpred) + + return self.reshape(np.hstack(dpred)) + + def save_components(self, iteration: int, values: list[np.ndarray] = None): # flake8: noqa + """ + Sort, transform and store data per components and channels. + """ + if values is not None: + prop = self.stack_channels(values) + elif self.attribute_type == "predicted": + dpred = getattr(self.invProb, "dpred", None) + if dpred is None: + dpred = self.invProb.get_dpred(self.invProb.model) + self.invProb.dpred = dpred + + if self.joint_index is not None: + dpred = [dpred[ind] for ind in self.joint_index] + + prop = self.stack_channels(dpred) + elif self.attribute_type == "sensitivities": + for directive in self.inversion.directiveList.dList: + if isinstance(directive, directives.UpdateSensitivityWeights): + prop = self.reshape(np.sum(directive.JtJdiag, axis=0) ** 0.5) + else: + prop = self.invProb.model + + # Apply transformations + prop = prop.flatten() + for fun in self.transforms: + if isinstance(fun, (IdentityMap, np.ndarray, float)): + prop = fun * prop + else: + prop = fun(prop) + + if prop.ndim == 2: + prop = prop.T.flatten() + + prop = prop.reshape((len(self.channels), len(self.components), -1)) + + with Workspace(self._h5_file) as w_s: + h5_object = w_s.get_entity(self.h5_object)[0] + for cc, component in enumerate(self.components): + if component not in self.data_type: + self.data_type[component] = {} + + for ii, channel in enumerate(self.channels): + values = prop[ii, cc, :] + + if self.sorting is not None: + values = values[self.sorting] + + base_name = f"Iteration_{iteration}" + if len(component) > 0: + base_name += f"_{component}" + + channel_name = base_name + if channel: + channel_name += f"_{channel}" + + if self.label is not None: + channel_name += f"_{self.label}" + base_name += f"_{self.label}" + + data = h5_object.add_data( + { + channel_name: { + "association": self.association, + "values": values, + } + } + ) + if channel not in self.data_type[component].keys(): + self.data_type[component][channel] = data.entity_type + type_name = f"{self.attribute_type}_{component}" + if channel: + type_name += f"_{channel}" + data.entity_type.name = type_name + else: + data.entity_type = w_s.find_type( + self.data_type[component][channel].uid, + type(self.data_type[component][channel]), + ) + + if len(self.channels) > 1 and self.attribute_type == "predicted": + h5_object.add_data_to_group(data, base_name) + + def write_update(self, iteration: int): + """ + Write update to file. + """ + dirpath = Path(self._h5_file).parent + filepath = dirpath / "SimPEG.out" + + if iteration == 0: + with open(filepath, "w", encoding="utf-8") as f: + f.write("iteration beta phi_d phi_m time\n") + + with open(filepath, "a", encoding="utf-8") as f: + date_time = datetime.now().strftime("%b-%d-%Y:%H:%M:%S") + f.write( + f"{iteration} {self.invProb.beta:.3e} {self.invProb.phi_d:.3e} " + f"{self.invProb.phi_m:.3e} {date_time}\n" + ) + + def save_log(self): + """ + Save iteration metrics to comments. + """ + dirpath = Path(self._h5_file).parent + + with Workspace(self._h5_file) as w_s: + h5_object = w_s.get_entity(self.h5_object)[0] + + for file in ["SimPEG.out", "SimPEG.log"]: + filepath = dirpath / file + + if not filepath.is_file(): + continue + + with open(filepath, "rb") as f: + raw_file = f.read() + + if h5_object.parent.get_entity(file)[0] is not None: + file_entity = h5_object.parent.get_entity(file)[0] + else: + file_entity = h5_object.parent.add_file(filepath) + + file_entity.values = raw_file + + @property + def joint_index(self): + """ + Index for joint inversions defining the element in the list of predicted data. + """ + return self._joint_index + + @joint_index.setter + def joint_index(self, value: list[int]): + if not isinstance(value, list): + raise TypeError("Input 'joint_index' should be a list of int") + + self._joint_index = value + + @property + def label(self): + return self._label + + @label.setter + def label(self, value: str): + assert isinstance(value, str), "'label' must be a string" + + self._label = value + + @property + def reshape(self): + """ + Reshape function + """ + if getattr(self, "_reshape", None) is None: + self._reshape = lambda x: x.reshape( + (len(self.channels), len(self.components), -1), order="F" + ) + + return self._reshape + + @reshape.setter + def reshape(self, fun): + self._reshape = fun + + @property + def transforms(self): + return self._transforms + + @transforms.setter + def transforms(self, funcs: list): + if not isinstance(funcs, list): + funcs = [funcs] + + for fun in funcs: + if not any( + [isinstance(fun, (IdentityMap, np.ndarray, float)), callable(fun)] + ): + raise TypeError( + "Input transformation must be of type" + + "SimPEG.maps, numpy.ndarray or callable function" + ) + + self._transforms = funcs + + @property + def h5_object(self): + return self._h5_object + + @h5_object.setter + def h5_object(self, entity: ObjectBase): + if not isinstance(entity, ObjectBase): + raise TypeError( + f"Input entity should be of type {ObjectBase}. {type(entity)} provided" + ) + + self._h5_object = entity.uid + self._h5_file = entity.workspace.h5file + + if getattr(entity, "n_cells", None) is not None: + self.association = "CELL" + else: + self.association = "VERTEX" + + @property + def association(self): + return self._association + + @association.setter + def association(self, value): + if not value.upper() in ["CELL", "VERTEX"]: + raise ValueError( + f"'association must be one of 'CELL', 'VERTEX'. {value} provided" + ) + + self._association = value.upper() diff --git a/simpeg_drivers/components/factories/misfit_factory.py b/simpeg_drivers/components/factories/misfit_factory.py index b01572a3..0c05d6a1 100644 --- a/simpeg_drivers/components/factories/misfit_factory.py +++ b/simpeg_drivers/components/factories/misfit_factory.py @@ -24,7 +24,7 @@ from geoapps_utils.driver.params import BaseParams import numpy as np -from SimPEG import data, data_misfit, objective_function +from simpeg import data, data_misfit, objective_function from simpeg_drivers.components.factories.simpeg_factory import SimPEGFactory diff --git a/simpeg_drivers/components/factories/receiver_factory.py b/simpeg_drivers/components/factories/receiver_factory.py index 4b800e26..0e6d308a 100644 --- a/simpeg_drivers/components/factories/receiver_factory.py +++ b/simpeg_drivers/components/factories/receiver_factory.py @@ -45,32 +45,32 @@ def __init__(self, params: BaseParams): def concrete_object(self): if self.factory_type in ["magnetic vector", "magnetic scalar"]: - from SimPEG.potential_fields.magnetics import receivers + from simpeg.potential_fields.magnetics import receivers return receivers.Point elif self.factory_type == "gravity": - from SimPEG.potential_fields.gravity import receivers + from simpeg.potential_fields.gravity import receivers return receivers.Point elif "direct current" in self.factory_type: - from SimPEG.electromagnetics.static.resistivity import receivers + from simpeg.electromagnetics.static.resistivity import receivers return receivers.Dipole elif "induced polarization" in self.factory_type: - from SimPEG.electromagnetics.static.induced_polarization import receivers + from simpeg.electromagnetics.static.induced_polarization import receivers return receivers.Dipole elif "fem" in self.factory_type: - from SimPEG.electromagnetics.frequency_domain import receivers + from simpeg.electromagnetics.frequency_domain import receivers return receivers.PointMagneticFluxDensitySecondary elif "tdem" in self.factory_type: - from SimPEG.electromagnetics.time_domain import receivers + from simpeg.electromagnetics.time_domain import receivers if self.params.data_units == "dB/dt (T/s)": return receivers.PointMagneticFluxTimeDerivative @@ -80,12 +80,12 @@ def concrete_object(self): return receivers.PointMagneticField elif self.factory_type == "magnetotellurics": - from SimPEG.electromagnetics.natural_source import receivers + from simpeg.electromagnetics.natural_source import receivers return receivers.PointNaturalSource elif self.factory_type == "tipper": - from SimPEG.electromagnetics.natural_source import receivers + from simpeg.electromagnetics.natural_source import receivers return receivers.Point3DTipper @@ -186,9 +186,9 @@ def _dcip_arguments(self, locations=None, local_index=None): if np.all(locations_m == locations_n): if "direct current" in self.factory_type: - from SimPEG.electromagnetics.static.resistivity import receivers + from simpeg.electromagnetics.static.resistivity import receivers else: - from SimPEG.electromagnetics.static.induced_polarization import ( + from simpeg.electromagnetics.static.induced_polarization import ( receivers, ) self.simpeg_object = receivers.Pole diff --git a/simpeg_drivers/components/factories/simulation_factory.py b/simpeg_drivers/components/factories/simulation_factory.py index ff4a5d20..a33bb328 100644 --- a/simpeg_drivers/components/factories/simulation_factory.py +++ b/simpeg_drivers/components/factories/simulation_factory.py @@ -29,7 +29,7 @@ from pathlib import Path import numpy as np -from SimPEG import maps +from simpeg import maps from simpeg_drivers.components.factories.simpeg_factory import SimPEGFactory @@ -61,22 +61,22 @@ def __init__(self, params: BaseParams): def concrete_object(self): if self.factory_type in ["magnetic scalar", "magnetic vector"]: - from SimPEG.potential_fields.magnetics import simulation + from simpeg.potential_fields.magnetics import simulation return simulation.Simulation3DIntegral if self.factory_type == "gravity": - from SimPEG.potential_fields.gravity import simulation + from simpeg.potential_fields.gravity import simulation return simulation.Simulation3DIntegral if self.factory_type in ["direct current 3d", "direct current pseudo 3d"]: - from SimPEG.electromagnetics.static.resistivity import simulation + from simpeg.electromagnetics.static.resistivity import simulation return simulation.Simulation3DNodal if self.factory_type == "direct current 2d": - from SimPEG.electromagnetics.static.resistivity import simulation_2d + from simpeg.electromagnetics.static.resistivity import simulation_2d return simulation_2d.Simulation2DNodal @@ -84,29 +84,29 @@ def concrete_object(self): "induced polarization 3d", "induced polarization pseudo 3d", ]: - from SimPEG.electromagnetics.static.induced_polarization import simulation + from simpeg.electromagnetics.static.induced_polarization import simulation return simulation.Simulation3DNodal if self.factory_type == "induced polarization 2d": - from SimPEG.electromagnetics.static.induced_polarization.simulation import ( + from simpeg.electromagnetics.static.induced_polarization.simulation import ( Simulation2DNodal, ) return Simulation2DNodal if self.factory_type in ["magnetotellurics", "tipper"]: - from SimPEG.electromagnetics.natural_source import simulation + from simpeg.electromagnetics.natural_source import simulation return simulation.Simulation3DPrimarySecondary if self.factory_type in ["fem"]: - from SimPEG.electromagnetics.frequency_domain import simulation + from simpeg.electromagnetics.frequency_domain import simulation return simulation.Simulation3DMagneticFluxDensity if self.factory_type in ["tdem"]: - from SimPEG.electromagnetics.time_domain import simulation + from simpeg.electromagnetics.time_domain import simulation return simulation.Simulation3DMagneticFluxDensity @@ -141,7 +141,9 @@ def assemble_keyword_arguments( kwargs["sensitivity_path"] = sensitivity_path kwargs["max_chunk_size"] = self.params.max_chunk_size kwargs["store_sensitivities"] = ( - None if self.params.forward_only else self.params.store_sensitivities + "forward_only" + if self.params.forward_only + else self.params.store_sensitivities ) if self.factory_type == "magnetic vector": diff --git a/simpeg_drivers/components/factories/source_factory.py b/simpeg_drivers/components/factories/source_factory.py index 7f4399a8..562fc549 100644 --- a/simpeg_drivers/components/factories/source_factory.py +++ b/simpeg_drivers/components/factories/source_factory.py @@ -43,32 +43,32 @@ def __init__(self, params: BaseParams): def concrete_object(self): if self.factory_type in ["magnetic vector", "magnetic scalar"]: - from SimPEG.potential_fields.magnetics import sources + from simpeg.potential_fields.magnetics import sources return sources.UniformBackgroundField elif self.factory_type == "gravity": - from SimPEG.potential_fields.gravity import sources + from simpeg.potential_fields.gravity import sources return sources.SourceField elif "direct current" in self.factory_type: - from SimPEG.electromagnetics.static.resistivity import sources + from simpeg.electromagnetics.static.resistivity import sources return sources.Dipole elif "induced polarization" in self.factory_type: - from SimPEG.electromagnetics.static.induced_polarization import sources + from simpeg.electromagnetics.static.induced_polarization import sources return sources.Dipole elif "fem" in self.factory_type: - from SimPEG.electromagnetics.frequency_domain import sources + from simpeg.electromagnetics.frequency_domain import sources return sources.MagDipole elif "tdem" in self.factory_type: - from SimPEG.electromagnetics.time_domain import sources + from simpeg.electromagnetics.time_domain import sources if isinstance(self.params.data_object, LargeLoopGroundTEMReceivers): return sources.LineCurrent @@ -76,7 +76,7 @@ def concrete_object(self): return sources.MagDipole elif self.factory_type in ["magnetotellurics", "tipper"]: - from SimPEG.electromagnetics.natural_source import sources + from simpeg.electromagnetics.natural_source import sources return sources.PlanewaveXYPrimary @@ -167,9 +167,9 @@ def _dcip_arguments(self, receivers=None, locations=None): if np.all(locations_a == locations_b): if "direct current" in self.factory_type: - from SimPEG.electromagnetics.static.resistivity import sources + from simpeg.electromagnetics.static.resistivity import sources else: - from SimPEG.electromagnetics.static.induced_polarization import sources + from simpeg.electromagnetics.static.induced_polarization import sources self.simpeg_object = sources.Pole else: args.append(locations_b) diff --git a/simpeg_drivers/components/factories/survey_factory.py b/simpeg_drivers/components/factories/survey_factory.py index 7610fbf7..385ea5f6 100644 --- a/simpeg_drivers/components/factories/survey_factory.py +++ b/simpeg_drivers/components/factories/survey_factory.py @@ -27,7 +27,7 @@ from geoapps_utils.driver.params import BaseParams import numpy as np -import SimPEG.electromagnetics.time_domain as tdem +import simpeg.electromagnetics.time_domain as tdem from geoh5py.objects.surveys.electromagnetics.ground_tem import ( LargeLoopGroundTEMTransmitters, ) @@ -89,25 +89,25 @@ def __init__(self, params: BaseParams): def concrete_object(self): if self.factory_type in ["magnetic vector", "magnetic scalar"]: - from SimPEG.potential_fields.magnetics import survey + from simpeg.potential_fields.magnetics import survey elif self.factory_type == "gravity": - from SimPEG.potential_fields.gravity import survey + from simpeg.potential_fields.gravity import survey elif "direct current" in self.factory_type: - from SimPEG.electromagnetics.static.resistivity import survey + from simpeg.electromagnetics.static.resistivity import survey elif "induced polarization" in self.factory_type: - from SimPEG.electromagnetics.static.induced_polarization import survey + from simpeg.electromagnetics.static.induced_polarization import survey elif "fem" in self.factory_type: - from SimPEG.electromagnetics.frequency_domain import survey + from simpeg.electromagnetics.frequency_domain import survey elif "tdem" in self.factory_type: - from SimPEG.electromagnetics.time_domain import survey + from simpeg.electromagnetics.time_domain import survey elif self.factory_type in ["magnetotellurics", "tipper"]: - from SimPEG.electromagnetics.natural_source import survey + from simpeg.electromagnetics.natural_source import survey else: raise ValueError(f"Factory type '{self.factory_type}' not recognized.") diff --git a/simpeg_drivers/components/models.py b/simpeg_drivers/components/models.py index 84147c86..9bc5a856 100644 --- a/simpeg_drivers/components/models.py +++ b/simpeg_drivers/components/models.py @@ -25,7 +25,7 @@ from geoapps_utils.numerical import weighted_average from geoapps_utils.transformations import rotate_xyz from geoh5py.data import NumericData -from SimPEG.utils.mat_utils import ( +from simpeg.utils.mat_utils import ( cartesian2amplitude_dip_azimuth, dip_azimuth2cartesian, mkvc, diff --git a/simpeg_drivers/driver.py b/simpeg_drivers/driver.py index 299b6cee..042c9738 100644 --- a/simpeg_drivers/driver.py +++ b/simpeg_drivers/driver.py @@ -32,7 +32,7 @@ from geoh5py.shared.utils import fetch_active_workspace from geoh5py.ui_json import InputFile from param_sweeps.driver import SweepParams -from SimPEG import ( +from simpeg import ( directives, inverse_problem, inversion, @@ -40,7 +40,7 @@ objective_function, optimization, ) -from SimPEG.regularization import BaseRegularization, Sparse +from simpeg.regularization import BaseRegularization, Sparse from simpeg_drivers import DRIVER_MAP from simpeg_drivers.components import ( diff --git a/simpeg_drivers/joint/driver.py b/simpeg_drivers/joint/driver.py index 07321067..571ff101 100644 --- a/simpeg_drivers/joint/driver.py +++ b/simpeg_drivers/joint/driver.py @@ -31,8 +31,8 @@ create_octree_from_octrees, treemesh_2_octree, ) -from SimPEG.maps import TileMap -from SimPEG.objective_function import ComboObjectiveFunction +from simpeg.maps import TileMap +from simpeg.objective_function import ComboObjectiveFunction from simpeg_drivers import DRIVER_MAP from simpeg_drivers.components.factories import SaveIterationGeoh5Factory diff --git a/simpeg_drivers/joint/joint_cross_gradient/driver.py b/simpeg_drivers/joint/joint_cross_gradient/driver.py index 817b566c..c82a794e 100644 --- a/simpeg_drivers/joint/joint_cross_gradient/driver.py +++ b/simpeg_drivers/joint/joint_cross_gradient/driver.py @@ -24,9 +24,9 @@ import numpy as np from geoh5py.shared.utils import fetch_active_workspace -from SimPEG import maps -from SimPEG.objective_function import ComboObjectiveFunction -from SimPEG.regularization import CrossGradient +from simpeg import maps +from simpeg.objective_function import ComboObjectiveFunction +from simpeg.regularization import CrossGradient from simpeg_drivers.components.factories import ( DirectivesFactory, diff --git a/simpeg_drivers/joint/joint_surveys/driver.py b/simpeg_drivers/joint/joint_surveys/driver.py index 30801a2e..09212e42 100644 --- a/simpeg_drivers/joint/joint_surveys/driver.py +++ b/simpeg_drivers/joint/joint_surveys/driver.py @@ -20,7 +20,7 @@ import numpy as np from geoh5py.shared.utils import fetch_active_workspace -from SimPEG import maps +from simpeg import maps from ...components.factories import DirectivesFactory from ...joint.driver import BaseJointDriver diff --git a/simpeg_drivers/natural_sources/tipper/constants.py b/simpeg_drivers/natural_sources/tipper/constants.py index 6e886f26..eb6d119a 100644 --- a/simpeg_drivers/natural_sources/tipper/constants.py +++ b/simpeg_drivers/natural_sources/tipper/constants.py @@ -81,7 +81,7 @@ "coolEpsFact": 1.2, "beta_search": False, "gradient_type": "total", - "sens_wts_threshold": 0.001, + "sens_wts_threshold": 1.0, "every_iteration_bool": True, "parallelized": True, "n_cpu": None, diff --git a/simpeg_drivers/utils/surveys.py b/simpeg_drivers/utils/surveys.py index f3621282..ccb8c55b 100644 --- a/simpeg_drivers/utils/surveys.py +++ b/simpeg_drivers/utils/surveys.py @@ -23,7 +23,7 @@ from geoh5py import Workspace from geoh5py.objects import PotentialElectrode from scipy.spatial import cKDTree -from SimPEG.survey import BaseSurvey +from simpeg.survey import BaseSurvey def counter_clockwise_sort(segments: np.ndarray, vertices: np.ndarray) -> np.ndarray: diff --git a/simpeg_drivers/utils/testing.py b/simpeg_drivers/utils/testing.py index 9f19594e..1026c0b3 100644 --- a/simpeg_drivers/utils/testing.py +++ b/simpeg_drivers/utils/testing.py @@ -40,7 +40,7 @@ from octree_creation_app.driver import OctreeDriver from octree_creation_app.utils import treemesh_2_octree from scipy.spatial import Delaunay -from SimPEG import utils +from simpeg import utils from simpeg_drivers.utils.utils import active_from_xyz, get_drape_model diff --git a/simpeg_drivers/utils/utils.py b/simpeg_drivers/utils/utils.py index 1a3dac72..5fdd0800 100644 --- a/simpeg_drivers/utils/utils.py +++ b/simpeg_drivers/utils/utils.py @@ -35,12 +35,12 @@ from octree_creation_app.utils import octree_2_treemesh from scipy.interpolate import LinearNDInterpolator, NearestNDInterpolator, interp1d from scipy.spatial import ConvexHull, Delaunay, cKDTree -from SimPEG.electromagnetics.frequency_domain.sources import ( +from simpeg.electromagnetics.frequency_domain.sources import ( LineCurrent as FEMLineCurrent, ) -from SimPEG.electromagnetics.time_domain.sources import LineCurrent as TEMLineCurrent -from SimPEG.survey import BaseSurvey -from SimPEG.utils import mkvc +from simpeg.electromagnetics.time_domain.sources import LineCurrent as TEMLineCurrent +from simpeg.survey import BaseSurvey +from simpeg.utils import mkvc if TYPE_CHECKING: from simpeg_drivers.components.data import InversionData diff --git a/tests/data_test.py b/tests/data_test.py index af1a67e4..fcdb050a 100644 --- a/tests/data_test.py +++ b/tests/data_test.py @@ -20,7 +20,7 @@ from pathlib import Path import numpy as np -import SimPEG +import simpeg from discretize.utils import mesh_builder_xyz from geoh5py.objects import Points from geoh5py.workspace import Workspace @@ -302,4 +302,4 @@ def test_get_survey(tmp_path: Path): ws, params = setup_params(tmp_path) data = InversionData(ws, params) survey = data.create_survey() - assert isinstance(survey[0], SimPEG.potential_fields.magnetics.Survey) + assert isinstance(survey[0], simpeg.potential_fields.magnetics.Survey) From fdae268f22853b3c63bfda7055848c339393e1f2 Mon Sep 17 00:00:00 2001 From: dominiquef Date: Sun, 9 Jun 2024 14:37:14 -0700 Subject: [PATCH 013/350] Update directives names --- .../components/factories/directives_factory.py | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/simpeg_drivers/components/factories/directives_factory.py b/simpeg_drivers/components/factories/directives_factory.py index fcc728fc..b99a9cfd 100644 --- a/simpeg_drivers/components/factories/directives_factory.py +++ b/simpeg_drivers/components/factories/directives_factory.py @@ -63,8 +63,8 @@ def beta_estimate_by_eigenvalues_directive(self): and self._beta_estimate_by_eigenvalues_directive is None ): self._beta_estimate_by_eigenvalues_directive = ( - directives.BetaEstimate_ByEig( - beta0_ratio=self.params.initial_beta_ratio, method="ratio", seed=0 + directives.BetaEstimateMaxDerivative( + beta0_ratio=self.params.initial_beta_ratio, seed=0 ) ) @@ -207,7 +207,7 @@ def update_irls_directive(self): """Directive to update IRLS.""" if self._update_irls_directive is None: has_chi_start = self.params.starting_chi_factor is not None - self._update_irls_directive = directives.UpdateIRLS( + self._update_irls_directive = directives.Update_IRLS( f_min_change=self.params.f_min_change, max_irls_iterations=self.params.max_irls_iterations, max_beta_iterations=self.params.max_global_iterations, @@ -661,7 +661,9 @@ def stack_channels(self, dpred: list): return self.reshape(np.hstack(dpred)) - def save_components(self, iteration: int, values: list[np.ndarray] = None): # flake8: noqa + def save_components( + self, iteration: int, values: list[np.ndarray] = None + ): # flake8: noqa """ Sort, transform and store data per components and channels. """ From 2e59a0d79604f6eb4c2becaeacc30b3090167f1b Mon Sep 17 00:00:00 2001 From: dominiquef Date: Sun, 9 Jun 2024 16:32:35 -0700 Subject: [PATCH 014/350] First full grav run --- simpeg_drivers/components/factories/__init__.py | 6 +++++- simpeg_drivers/components/factories/directives_factory.py | 2 +- simpeg_drivers/driver.py | 8 ++++++-- 3 files changed, 12 insertions(+), 4 deletions(-) diff --git a/simpeg_drivers/components/factories/__init__.py b/simpeg_drivers/components/factories/__init__.py index 796aed40..2e9f3c0c 100644 --- a/simpeg_drivers/components/factories/__init__.py +++ b/simpeg_drivers/components/factories/__init__.py @@ -18,7 +18,11 @@ from __future__ import annotations -from .directives_factory import DirectivesFactory, SaveIterationGeoh5Factory +from .directives_factory import ( + DirectivesFactory, + SaveIterationGeoh5Factory, + SaveIterationsGeoH5, +) from .entity_factory import EntityFactory from .misfit_factory import MisfitFactory from .simulation_factory import SimulationFactory diff --git a/simpeg_drivers/components/factories/directives_factory.py b/simpeg_drivers/components/factories/directives_factory.py index b99a9cfd..a60e2c07 100644 --- a/simpeg_drivers/components/factories/directives_factory.py +++ b/simpeg_drivers/components/factories/directives_factory.py @@ -117,7 +117,7 @@ def save_directives(self): "save_iteration_data_directive", "save_iteration_residual_directive", "save_iteration_apparent_resistivity_directive", - "save_iteration_sensitivity_directive", + # "save_iteration_sensitivity_directive", ]: if getattr(self, directive) is not None: directives_list.append(getattr(self, directive)) diff --git a/simpeg_drivers/driver.py b/simpeg_drivers/driver.py index 042c9738..83e9d041 100644 --- a/simpeg_drivers/driver.py +++ b/simpeg_drivers/driver.py @@ -50,7 +50,11 @@ InversionTopography, InversionWindow, ) -from simpeg_drivers.components.factories import DirectivesFactory, MisfitFactory +from simpeg_drivers.components.factories import ( + DirectivesFactory, + MisfitFactory, + SaveIterationsGeoH5, +) from simpeg_drivers.params import InversionBaseParams from simpeg_drivers.utils.utils import tile_locations @@ -327,7 +331,7 @@ def run(self): else: for directive in self.directives.save_directives: if ( - isinstance(directive, directives.SaveIterationsGeoH5) + isinstance(directive, SaveIterationsGeoH5) and directive.save_objective_function ): directive.save_log() From 76448ae6c6b1141975dea8acffd3a27b743f4fa5 Mon Sep 17 00:00:00 2001 From: dominiquef Date: Mon, 10 Jun 2024 09:36:43 -0700 Subject: [PATCH 015/350] Change reference to old beta estimator directive --- pyproject.toml | 2 +- .../factories/directives_factory.py | 84 ++++++++++++------- 2 files changed, 57 insertions(+), 29 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 5abfb31a..aaf4b8d1 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -50,7 +50,7 @@ geoapps-utils = {url = "https://github.com/MiraGeoscience/geoapps-utils/archive/ #geoapps-utils = {url = "http://localhost:8888/geoapps-utils.tar.gz#sha256="} #mira-simpeg = {version = ">=0.19.0.8rc3,<0.19.0.9.dev", source = "pypi", allow-prereleases = true} -mira-simpeg = {url = "https://github.com/MiraGeoscience/simpeg/archive/refs/heads/develop.zip"} +mira-simpeg = {url = "https://github.com/MiraGeoscience/simpeg/archive/refs/heads/GEOPY-1573.zip"} #mira-simpeg = {url = "http://localhost:8888/mira-simpeg.tar.gz#sha256="} #param-sweeps = {version = "~0.1.7rc1", source = "pypi", allow-prereleases = true} diff --git a/simpeg_drivers/components/factories/directives_factory.py b/simpeg_drivers/components/factories/directives_factory.py index a60e2c07..e874400c 100644 --- a/simpeg_drivers/components/factories/directives_factory.py +++ b/simpeg_drivers/components/factories/directives_factory.py @@ -63,7 +63,7 @@ def beta_estimate_by_eigenvalues_directive(self): and self._beta_estimate_by_eigenvalues_directive is None ): self._beta_estimate_by_eigenvalues_directive = ( - directives.BetaEstimateMaxDerivative( + directives.BetaEstimateDerivative( beta0_ratio=self.params.initial_beta_ratio, seed=0 ) ) @@ -661,12 +661,49 @@ def stack_channels(self, dpred: list): return self.reshape(np.hstack(dpred)) - def save_components( - self, iteration: int, values: list[np.ndarray] = None - ): # flake8: noqa + def apply_transformations(self, prop: np.ndarray) -> np.ndarray: """ - Sort, transform and store data per components and channels. + Re-order the values and apply transformations. + """ + prop = prop.flatten() + for fun in self.transforms: + if isinstance(fun, (IdentityMap, np.ndarray, float)): + prop = fun * prop + else: + prop = fun(prop) + + if prop.ndim == 2: + prop = prop.T.flatten() + + prop = prop.reshape((len(self.channels), len(self.components), -1)) + + return prop + + def get_names( + self, component: str, channel: str, iteration: int + ) -> tuple[str, str]: + """ + Format the data and property_group name. + """ + base_name = f"Iteration_{iteration}" + if len(component) > 0: + base_name += f"_{component}" + + channel_name = base_name + if channel: + channel_name += f"_{channel}" + + if self.label is not None: + channel_name += f"_{self.label}" + base_name += f"_{self.label}" + + return channel_name, base_name + + def get_values(self, values: list[np.ndarray] | None): """ + Get values for the inversion depending on the output type. + """ + prop = self.invProb.model if values is not None: prop = self.stack_channels(values) elif self.attribute_type == "predicted": @@ -683,22 +720,21 @@ def save_components( for directive in self.inversion.directiveList.dList: if isinstance(directive, directives.UpdateSensitivityWeights): prop = self.reshape(np.sum(directive.JtJdiag, axis=0) ** 0.5) - else: - prop = self.invProb.model - # Apply transformations - prop = prop.flatten() - for fun in self.transforms: - if isinstance(fun, (IdentityMap, np.ndarray, float)): - prop = fun * prop - else: - prop = fun(prop) + return prop - if prop.ndim == 2: - prop = prop.T.flatten() + def save_components( # flake8: noqa + self, iteration: int, values: list[np.ndarray] = None + ): + """ + Sort, transform and store data per components and channels. + """ + prop = self.get_values(values) - prop = prop.reshape((len(self.channels), len(self.components), -1)) + # Apply transformations + prop = self.apply_transformations(prop) + # Save results with Workspace(self._h5_file) as w_s: h5_object = w_s.get_entity(self.h5_object)[0] for cc, component in enumerate(self.components): @@ -711,17 +747,9 @@ def save_components( if self.sorting is not None: values = values[self.sorting] - base_name = f"Iteration_{iteration}" - if len(component) > 0: - base_name += f"_{component}" - - channel_name = base_name - if channel: - channel_name += f"_{channel}" - - if self.label is not None: - channel_name += f"_{self.label}" - base_name += f"_{self.label}" + channel_name, base_name = self.get_names( + component, channel, iteration + ) data = h5_object.add_data( { From d1845966e408af39c1bbc504bcc3446d1ec834af Mon Sep 17 00:00:00 2001 From: dominiquef Date: Mon, 10 Jun 2024 11:49:47 -0700 Subject: [PATCH 016/350] Update requirements --- .../py-3.10-linux-64-dev.conda.lock.yml | 50 +- environments/py-3.10-linux-64.conda.lock.yml | 34 +- .../py-3.10-win-64-dev.conda.lock.yml | 52 +- environments/py-3.10-win-64.conda.lock.yml | 36 +- py-3.10.conda-lock.yml | 482 +++++++++--------- pyproject.toml | 2 +- 6 files changed, 328 insertions(+), 328 deletions(-) diff --git a/environments/py-3.10-linux-64-dev.conda.lock.yml b/environments/py-3.10-linux-64-dev.conda.lock.yml index d570859f..b46b25ef 100644 --- a/environments/py-3.10-linux-64-dev.conda.lock.yml +++ b/environments/py-3.10-linux-64-dev.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: 8b411fb3b3ca1c853b9c8ef8e0438fd593e841ea81f99795108d4341f01139fc +# input_hash: b967d1b23dfc8c82be52259303d1a0367434636b997c60965faa6bb30def23fe channels: - conda-forge @@ -25,10 +25,10 @@ dependencies: - brotli-python=1.1.0=py310hc6cd4ac_1 - bzip2=1.0.8=hd590300_5 - c-ares=1.28.1=hd590300_0 - - ca-certificates=2024.2.2=hbcca054_0 + - ca-certificates=2024.6.2=hbcca054_0 - cached-property=1.5.2=hd8ed1ab_1 - cached_property=1.5.2=pyha770c72_1 - - certifi=2024.2.2=pyhd8ed1ab_0 + - certifi=2024.6.2=pyhd8ed1ab_0 - cffi=1.16.0=py310h2fee648_0 - charset-normalizer=3.3.2=pyhd8ed1ab_0 - click=8.1.7=unix_pyh707e725_0 @@ -36,7 +36,7 @@ dependencies: - colorama=0.4.6=pyhd8ed1ab_0 - comm=0.2.2=pyhd8ed1ab_0 - contourpy=1.2.1=py310hd41b1e2_0 - - coverage=7.5.2=py310hc51659f_0 + - coverage=7.5.3=py310hc51659f_0 - cycler=0.12.1=pyhd8ed1ab_0 - cytoolz=0.12.3=py310h2372a71_0 - dask-core=2022.10.2=pyhd8ed1ab_0 @@ -53,13 +53,13 @@ dependencies: - exceptiongroup=1.2.0=pyhd8ed1ab_2 - executing=2.0.1=pyhd8ed1ab_0 - fasteners=0.17.3=pyhd8ed1ab_0 - - fonttools=4.52.1=py310hc51659f_0 + - fonttools=4.53.0=py310hc51659f_0 - freetype=2.12.1=h267a509_2 - fsspec=2022.11.0=pyhd8ed1ab_0 - geoana=0.4.0=py310hbf28c38_1 - greenlet=3.0.3=py310hc6cd4ac_0 - - h5py=3.11.0=nompi_py310hf054cd7_101 - - hdf5=1.14.3=nompi_h4f84152_101 + - h5py=3.11.0=nompi_py310hf054cd7_102 + - hdf5=1.14.3=nompi_hdf9ad27_105 - icu=73.2=h59595ed_0 - idna=3.7=pyhd8ed1ab_0 - imagesize=1.4.1=pyhd8ed1ab_0 @@ -67,8 +67,8 @@ dependencies: - importlib_metadata=7.1.0=hd8ed1ab_0 - importlib_resources=6.4.0=pyhd8ed1ab_0 - iniconfig=2.0.0=pyhd8ed1ab_0 - - ipykernel=6.29.3=pyhd33586a_0 - - ipython=8.24.0=pyh707e725_0 + - ipykernel=6.29.4=pyh3099207_0 + - ipython=8.25.0=pyh707e725_0 - ipython_genutils=0.2.0=pyhd8ed1ab_1 - ipywidgets=7.8.0=pyhd8ed1ab_0 - isort=5.13.2=pyhd8ed1ab_0 @@ -90,7 +90,7 @@ dependencies: - krb5=1.21.2=h659d440_0 - latexcodec=2.0.1=pyh9f0ad1d_0 - lcms2=2.16=hb7c19ff_0 - - ld_impl_linux-64=2.40=hf3520f5_1 + - ld_impl_linux-64=2.40=hf3520f5_3 - lerc=4.0.0=h27087fc_0 - libaec=1.1.3=h59595ed_0 - libblas=3.9.0=16_linux64_mkl @@ -124,10 +124,10 @@ dependencies: - libwebp-base=1.4.0=hd590300_0 - libxcb=1.15=h0b41bf4_0 - libxcrypt=4.4.36=hd590300_1 - - libxml2=2.12.7=hc051c1a_0 - - libzlib=1.2.13=hd590300_5 + - libxml2=2.12.7=hc051c1a_1 + - libzlib=1.3.1=h4ab18f5_1 - linkify-it-py=2.0.3=pyhd8ed1ab_0 - - llvm-openmp=18.1.6=ha31de31_0 + - llvm-openmp=18.1.7=ha31de31_0 - llvmlite=0.42.0=py310h1b8f574_1 - locket=1.0.0=pyhd8ed1ab_0 - markdown-it-py=2.2.0=pyhd8ed1ab_0 @@ -155,7 +155,7 @@ dependencies: - numcodecs=0.12.1=py310h76e45a6_1 - numpy=1.23.5=py310h53a5b5f_0 - openjpeg=2.5.2=h488ebb8_0 - - openssl=3.3.0=h4ab18f5_3 + - openssl=3.3.1=h4ab18f5_0 - packaging=24.0=pyhd8ed1ab_0 - pandas=2.2.2=py310hf9f9076_1 - pandocfilters=1.5.0=pyhd8ed1ab_0 @@ -163,14 +163,14 @@ dependencies: - partd=1.4.2=pyhd8ed1ab_0 - pexpect=4.9.0=pyhd8ed1ab_0 - pickleshare=0.7.5=py_1003 - - pillow=10.1.0=py310h01dd4db_0 + - pillow=10.3.0=py310hf73ecf8_0 - pip=24.0=pyhd8ed1ab_0 - pkgutil-resolve-name=1.3.10=pyhd8ed1ab_1 - platformdirs=4.2.2=pyhd8ed1ab_0 - pluggy=1.5.0=pyhd8ed1ab_0 - - pooch=1.8.1=pyhd8ed1ab_0 + - pooch=1.8.2=pyhd8ed1ab_0 - prometheus_client=0.20.0=pyhd8ed1ab_0 - - prompt-toolkit=3.0.42=pyha770c72_0 + - prompt-toolkit=3.0.46=pyha770c72_0 - psutil=5.9.8=py310h2372a71_0 - pthread-stubs=0.4=h36c2ea0_1001 - ptyprocess=0.7.0=pyhd3deb0d_0 @@ -180,15 +180,15 @@ dependencies: - pycparser=2.22=pyhd8ed1ab_0 - pydantic=2.5.3=pyhd8ed1ab_0 - pydantic-core=2.14.6=py310hcb5633a_1 - - pydata-sphinx-theme=0.15.2=pyhd8ed1ab_0 + - pydata-sphinx-theme=0.15.3=pyhd8ed1ab_0 - pydiso=0.0.3=py310h1dd1467_4 - pygments=2.18.0=pyhd8ed1ab_0 - - pylint=3.2.2=pyhd8ed1ab_0 + - pylint=3.2.3=pyhd8ed1ab_0 - pymatsolver=0.2.0=ha770c72_3 - pymatsolver-base=0.2.0=pyh44b312d_3 - pyparsing=3.1.2=pyhd8ed1ab_0 - pysocks=1.7.1=pyha2e5f31_6 - - pytest=8.2.1=pyhd8ed1ab_0 + - pytest=8.2.2=pyhd8ed1ab_0 - pytest-cov=5.0.0=pyhd8ed1ab_0 - python=3.10.14=hd12c33a_0_cpython - python-dateutil=2.9.0=pyhd8ed1ab_0 @@ -201,7 +201,7 @@ dependencies: - readline=8.2=h8228510_1 - readthedocs-sphinx-ext=2.2.5=pyhd8ed1ab_0 - referencing=0.35.1=pyhd8ed1ab_0 - - requests=2.32.2=pyhd8ed1ab_0 + - requests=2.32.3=pyhd8ed1ab_0 - rpds-py=0.18.1=py310he421c4c_0 - scikit-learn=1.4.2=py310h981052a_1 - scipy=1.10.1=py310ha4c1d20_3 @@ -246,8 +246,8 @@ dependencies: - tornado=6.1=py310h5764c6d_3 - tqdm=4.66.4=pyhd8ed1ab_0 - traitlets=5.14.3=pyhd8ed1ab_0 - - typing-extensions=4.11.0=hd8ed1ab_0 - - typing_extensions=4.11.0=pyha770c72_0 + - typing-extensions=4.12.2=hd8ed1ab_0 + - typing_extensions=4.12.2=pyha770c72_0 - tzdata=2024a=h0c530f3_0 - uc-micro-py=1.0.3=pyhd8ed1ab_0 - unicodedata2=15.1.0=py310h2372a71_0 @@ -265,12 +265,12 @@ dependencies: - zarr=2.14.2=pyhd8ed1ab_0 - zeromq=4.3.5=h75354e8_4 - zict=3.0.0=pyhd8ed1ab_0 - - zipp=3.17.0=pyhd8ed1ab_0 + - zipp=3.19.2=pyhd8ed1ab_0 - zstd=1.5.6=ha6fb4c9_0 - pip: - geoapps-utils @ https://github.com/MiraGeoscience/geoapps-utils/archive/refs/heads/develop.zip - geoh5py @ https://github.com/MiraGeoscience/geoh5py/archive/refs/heads/develop.zip - - mira-simpeg @ https://github.com/MiraGeoscience/simpeg/archive/refs/heads/develop.zip + - mira-simpeg @ https://github.com/MiraGeoscience/simpeg/archive/refs/heads/GEOPY-1573.zip - octree-creation-app @ https://github.com/MiraGeoscience/octree-creation-app/archive/refs/heads/develop.zip - param-sweeps @ https://github.com/MiraGeoscience/param-sweeps/archive/refs/heads/develop.zip diff --git a/environments/py-3.10-linux-64.conda.lock.yml b/environments/py-3.10-linux-64.conda.lock.yml index f61cceb9..0de070da 100644 --- a/environments/py-3.10-linux-64.conda.lock.yml +++ b/environments/py-3.10-linux-64.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: 8b411fb3b3ca1c853b9c8ef8e0438fd593e841ea81f99795108d4341f01139fc +# input_hash: b967d1b23dfc8c82be52259303d1a0367434636b997c60965faa6bb30def23fe channels: - conda-forge @@ -14,10 +14,10 @@ dependencies: - brotli-python=1.1.0=py310hc6cd4ac_1 - bzip2=1.0.8=hd590300_5 - c-ares=1.28.1=hd590300_0 - - ca-certificates=2024.2.2=hbcca054_0 + - ca-certificates=2024.6.2=hbcca054_0 - cached-property=1.5.2=hd8ed1ab_1 - cached_property=1.5.2=pyha770c72_1 - - certifi=2024.2.2=pyhd8ed1ab_0 + - certifi=2024.6.2=pyhd8ed1ab_0 - charset-normalizer=3.3.2=pyhd8ed1ab_0 - click=8.1.7=unix_pyh707e725_0 - cloudpickle=3.0.0=pyhd8ed1ab_0 @@ -30,12 +30,12 @@ dependencies: - distributed=2022.10.2=pyhd8ed1ab_0 - empymod=2.3.0=pyhd8ed1ab_0 - fasteners=0.17.3=pyhd8ed1ab_0 - - fonttools=4.52.1=py310hc51659f_0 + - fonttools=4.53.0=py310hc51659f_0 - freetype=2.12.1=h267a509_2 - fsspec=2022.11.0=pyhd8ed1ab_0 - geoana=0.4.0=py310hbf28c38_1 - - h5py=3.11.0=nompi_py310hf054cd7_101 - - hdf5=1.14.3=nompi_h4f84152_101 + - h5py=3.11.0=nompi_py310hf054cd7_102 + - hdf5=1.14.3=nompi_hdf9ad27_105 - icu=73.2=h59595ed_0 - idna=3.7=pyhd8ed1ab_0 - jinja2=3.1.4=pyhd8ed1ab_0 @@ -44,7 +44,7 @@ dependencies: - kiwisolver=1.4.5=py310hd41b1e2_1 - krb5=1.21.2=h659d440_0 - lcms2=2.16=hb7c19ff_0 - - ld_impl_linux-64=2.40=hf3520f5_1 + - ld_impl_linux-64=2.40=hf3520f5_3 - lerc=4.0.0=h27087fc_0 - libaec=1.1.3=h59595ed_0 - libblas=3.9.0=16_linux64_mkl @@ -77,9 +77,9 @@ dependencies: - libwebp-base=1.4.0=hd590300_0 - libxcb=1.15=h0b41bf4_0 - libxcrypt=4.4.36=hd590300_1 - - libxml2=2.12.7=hc051c1a_0 - - libzlib=1.2.13=hd590300_5 - - llvm-openmp=18.1.6=ha31de31_0 + - libxml2=2.12.7=hc051c1a_1 + - libzlib=1.3.1=h4ab18f5_1 + - llvm-openmp=18.1.7=ha31de31_0 - llvmlite=0.42.0=py310h1b8f574_1 - locket=1.0.0=pyhd8ed1ab_0 - markupsafe=2.1.5=py310h2372a71_0 @@ -92,14 +92,14 @@ dependencies: - numcodecs=0.12.1=py310h76e45a6_1 - numpy=1.23.5=py310h53a5b5f_0 - openjpeg=2.5.2=h488ebb8_0 - - openssl=3.3.0=h4ab18f5_3 + - openssl=3.3.1=h4ab18f5_0 - packaging=24.0=pyhd8ed1ab_0 - pandas=2.2.2=py310hf9f9076_1 - partd=1.4.2=pyhd8ed1ab_0 - - pillow=10.1.0=py310h01dd4db_0 + - pillow=10.3.0=py310hf73ecf8_0 - pip=24.0=pyhd8ed1ab_0 - platformdirs=4.2.2=pyhd8ed1ab_0 - - pooch=1.8.1=pyhd8ed1ab_0 + - pooch=1.8.2=pyhd8ed1ab_0 - psutil=5.9.8=py310h2372a71_0 - pthread-stubs=0.4=h36c2ea0_1001 - pydantic=2.5.3=pyhd8ed1ab_0 @@ -116,7 +116,7 @@ dependencies: - pytz=2024.1=pyhd8ed1ab_0 - pyyaml=6.0.1=py310h2372a71_1 - readline=8.2=h8228510_1 - - requests=2.32.2=pyhd8ed1ab_0 + - requests=2.32.3=pyhd8ed1ab_0 - scikit-learn=1.4.2=py310h981052a_1 - scipy=1.10.1=py310ha4c1d20_3 - scooby=0.10.0=pyhd8ed1ab_0 @@ -130,8 +130,8 @@ dependencies: - toolz=0.12.1=pyhd8ed1ab_0 - tornado=6.1=py310h5764c6d_3 - tqdm=4.66.4=pyhd8ed1ab_0 - - typing-extensions=4.11.0=hd8ed1ab_0 - - typing_extensions=4.11.0=pyha770c72_0 + - typing-extensions=4.12.2=hd8ed1ab_0 + - typing_extensions=4.12.2=pyha770c72_0 - tzdata=2024a=h0c530f3_0 - unicodedata2=15.1.0=py310h2372a71_0 - urllib3=2.2.1=pyhd8ed1ab_0 @@ -147,7 +147,7 @@ dependencies: - pip: - geoapps-utils @ https://github.com/MiraGeoscience/geoapps-utils/archive/refs/heads/develop.zip - geoh5py @ https://github.com/MiraGeoscience/geoh5py/archive/refs/heads/develop.zip - - mira-simpeg @ https://github.com/MiraGeoscience/simpeg/archive/refs/heads/develop.zip + - mira-simpeg @ https://github.com/MiraGeoscience/simpeg/archive/refs/heads/GEOPY-1573.zip - octree-creation-app @ https://github.com/MiraGeoscience/octree-creation-app/archive/refs/heads/develop.zip - param-sweeps @ https://github.com/MiraGeoscience/param-sweeps/archive/refs/heads/develop.zip diff --git a/environments/py-3.10-win-64-dev.conda.lock.yml b/environments/py-3.10-win-64-dev.conda.lock.yml index 5c9599a3..555058da 100644 --- a/environments/py-3.10-win-64-dev.conda.lock.yml +++ b/environments/py-3.10-win-64-dev.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: d5a759f87b26f5d21e1f82f9f5f7a8d5c840269d10b671eec171294c4908da15 +# input_hash: eddbdc9731819929fa0737c26a45ba15c30cc2d70f8b5dfc7b64fb65ea2224d4 channels: - conda-forge @@ -22,10 +22,10 @@ dependencies: - brotli-bin=1.1.0=hcfcfb64_1 - brotli-python=1.1.0=py310h00ffb61_1 - bzip2=1.0.8=hcfcfb64_5 - - ca-certificates=2024.2.2=h56e8100_0 + - ca-certificates=2024.6.2=h56e8100_0 - cached-property=1.5.2=hd8ed1ab_1 - cached_property=1.5.2=pyha770c72_1 - - certifi=2024.2.2=pyhd8ed1ab_0 + - certifi=2024.6.2=pyhd8ed1ab_0 - cffi=1.16.0=py310h8d17308_0 - charset-normalizer=3.3.2=pyhd8ed1ab_0 - click=8.1.7=win_pyh7428d3b_0 @@ -33,7 +33,7 @@ dependencies: - colorama=0.4.6=pyhd8ed1ab_0 - comm=0.2.2=pyhd8ed1ab_0 - contourpy=1.2.1=py310h232114e_0 - - coverage=7.5.2=py310ha8f682b_0 + - coverage=7.5.3=py310ha8f682b_0 - cycler=0.12.1=pyhd8ed1ab_0 - cytoolz=0.12.3=py310h8d17308_0 - dask-core=2022.10.2=pyhd8ed1ab_0 @@ -50,13 +50,13 @@ dependencies: - exceptiongroup=1.2.0=pyhd8ed1ab_2 - executing=2.0.1=pyhd8ed1ab_0 - fasteners=0.17.3=pyhd8ed1ab_0 - - fonttools=4.52.1=py310ha8f682b_0 + - fonttools=4.53.0=py310ha8f682b_0 - freetype=2.12.1=hdaf720e_2 - fsspec=2022.11.0=pyhd8ed1ab_0 - geoana=0.4.0=py310h232114e_1 - greenlet=3.0.3=py310h00ffb61_0 - - h5py=3.11.0=nompi_py310h2b0be38_101 - - hdf5=1.14.3=nompi_h73e8ff5_101 + - h5py=3.11.0=nompi_py310h2b0be38_102 + - hdf5=1.14.3=nompi_h2b43c12_105 - idna=3.7=pyhd8ed1ab_0 - imagesize=1.4.1=pyhd8ed1ab_0 - importlib-metadata=7.1.0=pyha770c72_0 @@ -64,8 +64,8 @@ dependencies: - importlib_resources=6.4.0=pyhd8ed1ab_0 - iniconfig=2.0.0=pyhd8ed1ab_0 - intel-openmp=2024.1.0=h57928b3_966 - - ipykernel=6.29.3=pyha63f2e9_0 - - ipython=8.24.0=pyh7428d3b_0 + - ipykernel=6.29.4=pyh4bbf305_0 + - ipython=8.25.0=pyh7428d3b_0 - ipython_genutils=0.2.0=pyhd8ed1ab_1 - ipywidgets=7.8.0=pyhd8ed1ab_0 - isort=5.13.2=pyhd8ed1ab_0 @@ -108,8 +108,8 @@ dependencies: - libtiff=4.6.0=hddb2be6_3 - libwebp-base=1.4.0=hcfcfb64_0 - libxcb=1.15=hcd874cb_0 - - libxml2=2.12.7=h283a6d9_0 - - libzlib=1.2.13=hcfcfb64_5 + - libxml2=2.12.7=h283a6d9_1 + - libzlib=1.3.1=h2466b09_1 - linkify-it-py=2.0.3=pyhd8ed1ab_0 - llvmlite=0.42.0=py310hb84602e_1 - locket=1.0.0=pyhd8ed1ab_0 @@ -143,21 +143,21 @@ dependencies: - numcodecs=0.12.1=py310h9e98ed7_1 - numpy=1.23.5=py310h4a8f9c9_0 - openjpeg=2.5.2=h3d672ee_0 - - openssl=3.3.0=h2466b09_3 + - openssl=3.3.1=h2466b09_0 - packaging=24.0=pyhd8ed1ab_0 - pandas=2.2.2=py310hb4db72f_1 - pandocfilters=1.5.0=pyhd8ed1ab_0 - parso=0.8.4=pyhd8ed1ab_0 - partd=1.4.2=pyhd8ed1ab_0 - pickleshare=0.7.5=py_1003 - - pillow=10.1.0=py310h1e6a543_0 + - pillow=10.3.0=py310hf5d6e66_0 - pip=24.0=pyhd8ed1ab_0 - pkgutil-resolve-name=1.3.10=pyhd8ed1ab_1 - platformdirs=4.2.2=pyhd8ed1ab_0 - pluggy=1.5.0=pyhd8ed1ab_0 - - pooch=1.8.1=pyhd8ed1ab_0 + - pooch=1.8.2=pyhd8ed1ab_0 - prometheus_client=0.20.0=pyhd8ed1ab_0 - - prompt-toolkit=3.0.42=pyha770c72_0 + - prompt-toolkit=3.0.46=pyha770c72_0 - psutil=5.9.8=py310h8d17308_0 - pthread-stubs=0.4=hcd874cb_1001 - pthreads-win32=2.9.1=hfa6e2cd_3 @@ -167,15 +167,15 @@ dependencies: - pycparser=2.22=pyhd8ed1ab_0 - pydantic=2.5.3=pyhd8ed1ab_0 - pydantic-core=2.14.6=py310h87d50f1_1 - - pydata-sphinx-theme=0.15.2=pyhd8ed1ab_0 + - pydata-sphinx-theme=0.15.3=pyhd8ed1ab_0 - pydiso=0.0.3=py310h847dae0_4 - pygments=2.18.0=pyhd8ed1ab_0 - - pylint=3.2.2=pyhd8ed1ab_0 + - pylint=3.2.3=pyhd8ed1ab_0 - pymatsolver=0.2.0=ha770c72_3 - pymatsolver-base=0.2.0=pyh44b312d_3 - pyparsing=3.1.2=pyhd8ed1ab_0 - pysocks=1.7.1=pyh0701188_6 - - pytest=8.2.1=pyhd8ed1ab_0 + - pytest=8.2.2=pyhd8ed1ab_0 - pytest-cov=5.0.0=pyhd8ed1ab_0 - python=3.10.14=h4de0772_0_cpython - python-dateutil=2.9.0=pyhd8ed1ab_0 @@ -189,7 +189,7 @@ dependencies: - pyzmq=26.0.3=py310h656833d_0 - readthedocs-sphinx-ext=2.2.5=pyhd8ed1ab_0 - referencing=0.35.1=pyhd8ed1ab_0 - - requests=2.32.2=pyhd8ed1ab_0 + - requests=2.32.3=pyhd8ed1ab_0 - rpds-py=0.18.1=py310hc226416_0 - scikit-learn=1.4.2=py310hf2a6c47_1 - scipy=1.10.1=py310h578b7cb_3 @@ -234,17 +234,17 @@ dependencies: - tornado=6.1=py310he2412df_3 - tqdm=4.66.4=pyhd8ed1ab_0 - traitlets=5.14.3=pyhd8ed1ab_0 - - typing-extensions=4.11.0=hd8ed1ab_0 - - typing_extensions=4.11.0=pyha770c72_0 + - typing-extensions=4.12.2=hd8ed1ab_0 + - typing_extensions=4.12.2=pyha770c72_0 - tzdata=2024a=h0c530f3_0 - uc-micro-py=1.0.3=pyhd8ed1ab_0 - ucrt=10.0.22621.0=h57928b3_0 - unicodedata2=15.1.0=py310h8d17308_0 - urllib3=2.2.1=pyhd8ed1ab_0 - utm=0.7.0=pyhd8ed1ab_0 - - vc=14.3=ha32ba9b_20 - - vc14_runtime=14.38.33135=h835141b_20 - - vs2015_runtime=14.38.33135=h22015db_20 + - vc=14.3=h8a93ad2_20 + - vc14_runtime=14.40.33810=ha82c5b3_20 + - vs2015_runtime=14.40.33810=h3bf8584_20 - wcwidth=0.2.13=pyhd8ed1ab_0 - webencodings=0.5.1=pyhd8ed1ab_2 - websocket-client=1.8.0=pyhd8ed1ab_0 @@ -259,12 +259,12 @@ dependencies: - zarr=2.14.2=pyhd8ed1ab_0 - zeromq=4.3.5=he1f189c_4 - zict=3.0.0=pyhd8ed1ab_0 - - zipp=3.17.0=pyhd8ed1ab_0 + - zipp=3.19.2=pyhd8ed1ab_0 - zstd=1.5.6=h0ea2cb4_0 - pip: - geoapps-utils @ https://github.com/MiraGeoscience/geoapps-utils/archive/refs/heads/develop.zip - geoh5py @ https://github.com/MiraGeoscience/geoh5py/archive/refs/heads/develop.zip - - mira-simpeg @ https://github.com/MiraGeoscience/simpeg/archive/refs/heads/develop.zip + - mira-simpeg @ https://github.com/MiraGeoscience/simpeg/archive/refs/heads/GEOPY-1573.zip - octree-creation-app @ https://github.com/MiraGeoscience/octree-creation-app/archive/refs/heads/develop.zip - param-sweeps @ https://github.com/MiraGeoscience/param-sweeps/archive/refs/heads/develop.zip diff --git a/environments/py-3.10-win-64.conda.lock.yml b/environments/py-3.10-win-64.conda.lock.yml index 2cde7140..80679b34 100644 --- a/environments/py-3.10-win-64.conda.lock.yml +++ b/environments/py-3.10-win-64.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: d5a759f87b26f5d21e1f82f9f5f7a8d5c840269d10b671eec171294c4908da15 +# input_hash: eddbdc9731819929fa0737c26a45ba15c30cc2d70f8b5dfc7b64fb65ea2224d4 channels: - conda-forge @@ -11,10 +11,10 @@ dependencies: - brotli-bin=1.1.0=hcfcfb64_1 - brotli-python=1.1.0=py310h00ffb61_1 - bzip2=1.0.8=hcfcfb64_5 - - ca-certificates=2024.2.2=h56e8100_0 + - ca-certificates=2024.6.2=h56e8100_0 - cached-property=1.5.2=hd8ed1ab_1 - cached_property=1.5.2=pyha770c72_1 - - certifi=2024.2.2=pyhd8ed1ab_0 + - certifi=2024.6.2=pyhd8ed1ab_0 - charset-normalizer=3.3.2=pyhd8ed1ab_0 - click=8.1.7=win_pyh7428d3b_0 - cloudpickle=3.0.0=pyhd8ed1ab_0 @@ -27,12 +27,12 @@ dependencies: - distributed=2022.10.2=pyhd8ed1ab_0 - empymod=2.3.0=pyhd8ed1ab_0 - fasteners=0.17.3=pyhd8ed1ab_0 - - fonttools=4.52.1=py310ha8f682b_0 + - fonttools=4.53.0=py310ha8f682b_0 - freetype=2.12.1=hdaf720e_2 - fsspec=2022.11.0=pyhd8ed1ab_0 - geoana=0.4.0=py310h232114e_1 - - h5py=3.11.0=nompi_py310h2b0be38_101 - - hdf5=1.14.3=nompi_h73e8ff5_101 + - h5py=3.11.0=nompi_py310h2b0be38_102 + - hdf5=1.14.3=nompi_h2b43c12_105 - idna=3.7=pyhd8ed1ab_0 - intel-openmp=2024.1.0=h57928b3_966 - jinja2=3.1.4=pyhd8ed1ab_0 @@ -61,8 +61,8 @@ dependencies: - libtiff=4.6.0=hddb2be6_3 - libwebp-base=1.4.0=hcfcfb64_0 - libxcb=1.15=hcd874cb_0 - - libxml2=2.12.7=h283a6d9_0 - - libzlib=1.2.13=hcfcfb64_5 + - libxml2=2.12.7=h283a6d9_1 + - libzlib=1.3.1=h2466b09_1 - llvmlite=0.42.0=py310hb84602e_1 - locket=1.0.0=pyhd8ed1ab_0 - m2w64-gcc-libgfortran=5.3.0=6 @@ -80,14 +80,14 @@ dependencies: - numcodecs=0.12.1=py310h9e98ed7_1 - numpy=1.23.5=py310h4a8f9c9_0 - openjpeg=2.5.2=h3d672ee_0 - - openssl=3.3.0=h2466b09_3 + - openssl=3.3.1=h2466b09_0 - packaging=24.0=pyhd8ed1ab_0 - pandas=2.2.2=py310hb4db72f_1 - partd=1.4.2=pyhd8ed1ab_0 - - pillow=10.1.0=py310h1e6a543_0 + - pillow=10.3.0=py310hf5d6e66_0 - pip=24.0=pyhd8ed1ab_0 - platformdirs=4.2.2=pyhd8ed1ab_0 - - pooch=1.8.1=pyhd8ed1ab_0 + - pooch=1.8.2=pyhd8ed1ab_0 - psutil=5.9.8=py310h8d17308_0 - pthread-stubs=0.4=hcd874cb_1001 - pthreads-win32=2.9.1=hfa6e2cd_3 @@ -104,7 +104,7 @@ dependencies: - python_abi=3.10=4_cp310 - pytz=2024.1=pyhd8ed1ab_0 - pyyaml=6.0.1=py310h8d17308_1 - - requests=2.32.2=pyhd8ed1ab_0 + - requests=2.32.3=pyhd8ed1ab_0 - scikit-learn=1.4.2=py310hf2a6c47_1 - scipy=1.10.1=py310h578b7cb_3 - scooby=0.10.0=pyhd8ed1ab_0 @@ -118,16 +118,16 @@ dependencies: - toolz=0.12.1=pyhd8ed1ab_0 - tornado=6.1=py310he2412df_3 - tqdm=4.66.4=pyhd8ed1ab_0 - - typing-extensions=4.11.0=hd8ed1ab_0 - - typing_extensions=4.11.0=pyha770c72_0 + - typing-extensions=4.12.2=hd8ed1ab_0 + - typing_extensions=4.12.2=pyha770c72_0 - tzdata=2024a=h0c530f3_0 - ucrt=10.0.22621.0=h57928b3_0 - unicodedata2=15.1.0=py310h8d17308_0 - urllib3=2.2.1=pyhd8ed1ab_0 - utm=0.7.0=pyhd8ed1ab_0 - - vc=14.3=ha32ba9b_20 - - vc14_runtime=14.38.33135=h835141b_20 - - vs2015_runtime=14.38.33135=h22015db_20 + - vc=14.3=h8a93ad2_20 + - vc14_runtime=14.40.33810=ha82c5b3_20 + - vs2015_runtime=14.40.33810=h3bf8584_20 - wheel=0.43.0=pyhd8ed1ab_1 - win_inet_pton=1.1.0=pyhd8ed1ab_6 - xorg-libxau=1.0.11=hcd874cb_0 @@ -140,7 +140,7 @@ dependencies: - pip: - geoapps-utils @ https://github.com/MiraGeoscience/geoapps-utils/archive/refs/heads/develop.zip - geoh5py @ https://github.com/MiraGeoscience/geoh5py/archive/refs/heads/develop.zip - - mira-simpeg @ https://github.com/MiraGeoscience/simpeg/archive/refs/heads/develop.zip + - mira-simpeg @ https://github.com/MiraGeoscience/simpeg/archive/refs/heads/GEOPY-1573.zip - octree-creation-app @ https://github.com/MiraGeoscience/octree-creation-app/archive/refs/heads/develop.zip - param-sweeps @ https://github.com/MiraGeoscience/param-sweeps/archive/refs/heads/develop.zip diff --git a/py-3.10.conda-lock.yml b/py-3.10.conda-lock.yml index 0525e68b..6d390653 100644 --- a/py-3.10.conda-lock.yml +++ b/py-3.10.conda-lock.yml @@ -15,8 +15,8 @@ version: 1 metadata: content_hash: - win-64: d5a759f87b26f5d21e1f82f9f5f7a8d5c840269d10b671eec171294c4908da15 - linux-64: 8b411fb3b3ca1c853b9c8ef8e0438fd593e841ea81f99795108d4341f01139fc + win-64: eddbdc9731819929fa0737c26a45ba15c30cc2d70f8b5dfc7b64fb65ea2224d4 + linux-64: b967d1b23dfc8c82be52259303d1a0367434636b997c60965faa6bb30def23fe channels: - url: conda-forge used_env_vars: [] @@ -539,25 +539,25 @@ package: category: main optional: false - name: ca-certificates - version: 2024.2.2 + version: 2024.6.2 manager: conda platform: linux-64 dependencies: {} - url: https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.2.2-hbcca054_0.conda + url: https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.6.2-hbcca054_0.conda hash: - md5: 2f4327a1cbe7f022401b236e915a5fef - sha256: 91d81bfecdbb142c15066df70cc952590ae8991670198f92c66b62019b251aeb + md5: 847c3c2905cc467cea52c24f9cfa8080 + sha256: 979af0932b2a5a26112044891a2d79e402e5ae8166f50fa48b8ebae47c0a2d65 category: main optional: false - name: ca-certificates - version: 2024.2.2 + version: 2024.6.2 manager: conda platform: win-64 dependencies: {} - url: https://conda.anaconda.org/conda-forge/win-64/ca-certificates-2024.2.2-h56e8100_0.conda + url: https://conda.anaconda.org/conda-forge/win-64/ca-certificates-2024.6.2-h56e8100_0.conda hash: - md5: 63da060240ab8087b60d1357051ea7d6 - sha256: 4d587088ecccd393fec3420b64f1af4ee1a0e6897a45cfd5ef38055322cea5d0 + md5: 12a3a2b3a00a21bbb390d4de5ad8dd0f + sha256: d872d11558ebeaeb87bcf9086e97c075a1a2dfffed2d0e97570cf197ab29e3d8 category: main optional: false - name: cached-property @@ -609,27 +609,27 @@ package: category: main optional: false - name: certifi - version: 2024.2.2 + version: 2024.6.2 manager: conda platform: linux-64 dependencies: python: '>=3.7' - url: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.2.2-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.6.2-pyhd8ed1ab_0.conda hash: - md5: 0876280e409658fc6f9e75d035960333 - sha256: f1faca020f988696e6b6ee47c82524c7806380b37cfdd1def32f92c326caca54 + md5: 8821ec1c8fcdc9e1d291d7b9f6e9968a + sha256: f101b8f9155b79d623601214eb719747ffe1c2ad3ff6c4e600f59163bd5f4803 category: main optional: false - name: certifi - version: 2024.2.2 + version: 2024.6.2 manager: conda platform: win-64 dependencies: python: '>=3.7' - url: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.2.2-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.6.2-pyhd8ed1ab_0.conda hash: - md5: 0876280e409658fc6f9e75d035960333 - sha256: f1faca020f988696e6b6ee47c82524c7806380b37cfdd1def32f92c326caca54 + md5: 8821ec1c8fcdc9e1d291d7b9f6e9968a + sha256: f101b8f9155b79d623601214eb719747ffe1c2ad3ff6c4e600f59163bd5f4803 category: main optional: false - 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name: hdf5 @@ -1544,16 +1544,16 @@ package: platform: win-64 dependencies: libaec: '>=1.1.3,<2.0a0' - libcurl: '>=8.7.1,<9.0a0' - libzlib: '>=1.2.13,<1.3.0a0' - openssl: '>=3.3.0,<4.0a0' + libcurl: '>=8.8.0,<9.0a0' + libzlib: '>=1.2.13,<2.0a0' + openssl: '>=3.3.1,<4.0a0' ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vc14_runtime: '>=14.29.30139' - url: https://conda.anaconda.org/conda-forge/win-64/hdf5-1.14.3-nompi_h73e8ff5_101.conda + url: https://conda.anaconda.org/conda-forge/win-64/hdf5-1.14.3-nompi_h2b43c12_105.conda hash: - md5: b746fce22796d2e2d8b37bdd45d12d78 - sha256: b4d50137e1f2f2b62e4da626ee64f9233457fef3de62c3a8dbd01f41cf2cebe4 + md5: 5788de34381caf624b78c4981618dc0a + sha256: 56c803607a64b5117a8b4bcfdde722e4fa40970ddc4c61224b0981cbb70fb005 category: main optional: false - name: icu @@ -1729,7 +1729,7 @@ package: category: main optional: false - name: ipykernel - version: 6.29.3 + version: 6.29.4 manager: conda platform: linux-64 dependencies: @@ -1747,14 +1747,14 @@ package: pyzmq: '>=24' tornado: '>=6.1' traitlets: '>=5.4.0' - url: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.3-pyhd33586a_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.4-pyh3099207_0.conda hash: - md5: e0deff12c601ce5cb7476f93718f3168 - sha256: 0314f15e666fd9a4fb653aae37d2cf4dc6bc3a18c0d9c2671a6a0783146adcfa + md5: 36baf4c745655019de1f29df2535a72b + sha256: 202ab54ddc21011bf7ed7c8fa705767c9e7735a52281b010516faf3924bf0584 category: dev optional: true - name: ipykernel - version: 6.29.3 + version: 6.29.4 manager: conda platform: win-64 dependencies: @@ -1772,14 +1772,14 @@ package: comm: '>=0.1.1' traitlets: '>=5.4.0' pyzmq: '>=24' - url: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.3-pyha63f2e9_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.4-pyh4bbf305_0.conda hash: - md5: d86f243bdd45a8019050e7326ed7bb2e - sha256: 93ff46322a2512e9fb4ba456b1f0120d2f628a4b851f3102561a351e528d24d0 + md5: 899877a9ae762c02f2142b0531bee6a4 + sha256: c97cda9457c782ef6e52ec45ce48bd4a36cfa6ae1546b1de99b5cedc467dc341 category: dev optional: true - name: ipython - version: 8.24.0 + version: 8.25.0 manager: conda platform: linux-64 dependencies: @@ -1796,14 +1796,14 @@ package: stack_data: '' traitlets: '>=5.13.0' typing_extensions: '>=4.6' - url: https://conda.anaconda.org/conda-forge/noarch/ipython-8.24.0-pyh707e725_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/ipython-8.25.0-pyh707e725_0.conda hash: - md5: 1fb1f1fcbe053a762748dbf0ae4cfd0d - sha256: d3ce492dac53a8f1c6cd682a25313f02993a1333b5e4787a15259a6e7cb28562 + md5: 98466a37c08f3bdbb500786271859517 + sha256: 4a53d39e44ce8bb7ce75f50b9e2f594e0bac12812cfe1e7525bb285d64a69d78 category: dev optional: true - name: ipython - version: 8.24.0 + version: 8.25.0 manager: conda platform: win-64 dependencies: @@ -1820,10 +1820,10 @@ package: prompt-toolkit: '>=3.0.41,<3.1.0' traitlets: '>=5.13.0' typing_extensions: '>=4.6' - url: https://conda.anaconda.org/conda-forge/noarch/ipython-8.24.0-pyh7428d3b_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/ipython-8.25.0-pyh7428d3b_0.conda hash: - 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libzlib: '>=1.2.13,<1.3.0a0' + libzlib: '>=1.2.13,<2.0.0a0' ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vc14_runtime: '>=14.29.30139' @@ -7504,7 +7504,7 @@ package: manager: pip platform: linux-64 dependencies: - pillow: '>=10.1.0,<10.2.0' + pillow: '>=10.3.0,<10.4.0' geoh5py: 0.10.0a1 h5py: '>=3.2.1,<4.0.0' numpy: '>=1.23.5,<1.24.0' @@ -7522,7 +7522,7 @@ package: manager: pip platform: win-64 dependencies: - pillow: '>=10.1.0,<10.2.0' + pillow: '>=10.3.0,<10.4.0' geoh5py: 0.10.0a1 h5py: '>=3.2.1,<4.0.0' numpy: '>=1.23.5,<1.24.0' @@ -7540,7 +7540,7 @@ package: manager: pip platform: linux-64 dependencies: - pillow: '>=10.1.0,<10.2.0' + pillow: '>=10.3.0,<10.4.0' h5py: '>=3.2.1,<4.0.0' numpy: '>=1.23.5,<1.24.0' url: https://github.com/MiraGeoscience/geoh5py/archive/refs/heads/develop.zip @@ -7555,7 +7555,7 @@ package: manager: pip platform: win-64 dependencies: - pillow: '>=10.1.0,<10.2.0' + pillow: '>=10.3.0,<10.4.0' h5py: '>=3.2.1,<4.0.0' numpy: '>=1.23.5,<1.24.0' url: https://github.com/MiraGeoscience/geoh5py/archive/refs/heads/develop.zip @@ -7566,7 +7566,7 @@ package: url: https://github.com/MiraGeoscience/geoh5py/archive/refs/heads/develop.zip optional: false - name: mira-simpeg - version: 0.19.0.9a1 + version: 0.21.2.1a1 manager: pip platform: linux-64 dependencies: @@ -7580,15 +7580,15 @@ package: pymatsolver: '>=0.2' scikit-learn: '>=1.2' scipy: '>=1.8.0' - url: https://github.com/MiraGeoscience/simpeg/archive/refs/heads/develop.zip + url: https://github.com/MiraGeoscience/simpeg/archive/refs/heads/GEOPY-1573.zip hash: {} category: main source: type: url - url: https://github.com/MiraGeoscience/simpeg/archive/refs/heads/develop.zip + url: https://github.com/MiraGeoscience/simpeg/archive/refs/heads/GEOPY-1573.zip optional: false - name: mira-simpeg - version: 0.19.0.9a1 + version: 0.21.2.1a1 manager: pip platform: win-64 dependencies: @@ -7602,19 +7602,19 @@ package: pymatsolver: '>=0.2' scikit-learn: '>=1.2' scipy: '>=1.8.0' - url: https://github.com/MiraGeoscience/simpeg/archive/refs/heads/develop.zip + url: https://github.com/MiraGeoscience/simpeg/archive/refs/heads/GEOPY-1573.zip hash: {} category: main source: type: url - url: https://github.com/MiraGeoscience/simpeg/archive/refs/heads/develop.zip + url: https://github.com/MiraGeoscience/simpeg/archive/refs/heads/GEOPY-1573.zip optional: false - name: octree-creation-app version: 0.2.0a1 manager: pip platform: linux-64 dependencies: - pillow: '>=10.1.0,<10.2.0' + pillow: '>=10.3.0,<10.4.0' discretize: '>=0.10.0,<0.11.0' geoapps-utils: 0.4.0a1 geoh5py: 0.10.0a1 @@ -7634,7 +7634,7 @@ package: manager: pip platform: win-64 dependencies: - pillow: '>=10.1.0,<10.2.0' + pillow: '>=10.3.0,<10.4.0' discretize: '>=0.10.0,<0.11.0' geoapps-utils: 0.4.0a1 geoh5py: 0.10.0a1 diff --git a/pyproject.toml b/pyproject.toml index aaf4b8d1..4521a630 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -59,7 +59,7 @@ param-sweeps = {url = "https://github.com/MiraGeoscience/param-sweeps/archive/re ## indirect dependencies, forcing them here for installation through Conda not pip #--------------------------------------------------------------------------------- -Pillow = "~10.1.0" # from geoh5py +Pillow = "~10.3.0" # from geoh5py fsspec = "2022.*" # from simpeg[dask] geoana = "~0.4.0" # from simpeg h5py = "^3.2.1" # from geoh5py From 72589dc7ee8865e6a254806fbacd3676162e6b5b Mon Sep 17 00:00:00 2001 From: dominiquef Date: Mon, 10 Jun 2024 12:33:46 -0700 Subject: [PATCH 017/350] Move SaveIterationsGeoH5 back to simpeg --- .../components/factories/__init__.py | 6 +- .../factories/directives_factory.py | 303 +----------------- simpeg_drivers/driver.py | 8 +- .../magnetic_vector/driver.py | 2 +- 4 files changed, 5 insertions(+), 314 deletions(-) diff --git a/simpeg_drivers/components/factories/__init__.py b/simpeg_drivers/components/factories/__init__.py index 2e9f3c0c..796aed40 100644 --- a/simpeg_drivers/components/factories/__init__.py +++ b/simpeg_drivers/components/factories/__init__.py @@ -18,11 +18,7 @@ from __future__ import annotations -from .directives_factory import ( - DirectivesFactory, - SaveIterationGeoh5Factory, - SaveIterationsGeoH5, -) +from .directives_factory import DirectivesFactory, SaveIterationGeoh5Factory from .entity_factory import EntityFactory from .misfit_factory import MisfitFactory from .simulation_factory import SimulationFactory diff --git a/simpeg_drivers/components/factories/directives_factory.py b/simpeg_drivers/components/factories/directives_factory.py index e874400c..023a30dc 100644 --- a/simpeg_drivers/components/factories/directives_factory.py +++ b/simpeg_drivers/components/factories/directives_factory.py @@ -21,15 +21,10 @@ from __future__ import annotations -from datetime import datetime -from pathlib import Path from typing import TYPE_CHECKING import numpy as np -from geoh5py import Workspace -from geoh5py.objects import ObjectBase from simpeg import directives, maps -from simpeg.maps import IdentityMap from simpeg.utils.mat_utils import cartesian2amplitude_dip_azimuth from simpeg_drivers.components.factories.simpeg_factory import SimPEGFactory @@ -272,7 +267,7 @@ def __init__(self, params): self.simpeg_object = self.concrete_object() def concrete_object(self): - return SaveIterationsGeoH5 + return directives.SaveIterationsGeoH5 def assemble_arguments( self, @@ -612,299 +607,3 @@ def reshape(values): } return kwargs - - -class SaveIterationsGeoH5(directives.InversionDirective): - """ - Saves inversion results to a geoh5 file - """ - - def __init__(self, h5_object, **kwargs): - self.data_type = {} - self._association = None - self.attribute_type = "model" - self._label = None - self.channels = [""] - self.components = [""] - self._h5_object = None - self._workspace = None - self._transforms: list = [] - self.save_objective_function = False - self.sorting = None - self._reshape = None - self.h5_object = h5_object - self._joint_index = None - super().__init__( - inversion=None, dmisfit=None, reg=None, verbose=False, **kwargs - ) - - def initialize(self): - self.save_components(0) - - if self.save_objective_function: - self.write_update(0) - self.save_log() - - def endIter(self): - self.save_components(self.opt.iter) - - if self.save_objective_function: - self.write_update(self.opt.iter) - self.save_log() - - def stack_channels(self, dpred: list): - """ - Regroup channel values along rows. - """ - if isinstance(dpred, np.ndarray): - return self.reshape(dpred) - - return self.reshape(np.hstack(dpred)) - - def apply_transformations(self, prop: np.ndarray) -> np.ndarray: - """ - Re-order the values and apply transformations. - """ - prop = prop.flatten() - for fun in self.transforms: - if isinstance(fun, (IdentityMap, np.ndarray, float)): - prop = fun * prop - else: - prop = fun(prop) - - if prop.ndim == 2: - prop = prop.T.flatten() - - prop = prop.reshape((len(self.channels), len(self.components), -1)) - - return prop - - def get_names( - self, component: str, channel: str, iteration: int - ) -> tuple[str, str]: - """ - Format the data and property_group name. - """ - base_name = f"Iteration_{iteration}" - if len(component) > 0: - base_name += f"_{component}" - - channel_name = base_name - if channel: - channel_name += f"_{channel}" - - if self.label is not None: - channel_name += f"_{self.label}" - base_name += f"_{self.label}" - - return channel_name, base_name - - def get_values(self, values: list[np.ndarray] | None): - """ - Get values for the inversion depending on the output type. - """ - prop = self.invProb.model - if values is not None: - prop = self.stack_channels(values) - elif self.attribute_type == "predicted": - dpred = getattr(self.invProb, "dpred", None) - if dpred is None: - dpred = self.invProb.get_dpred(self.invProb.model) - self.invProb.dpred = dpred - - if self.joint_index is not None: - dpred = [dpred[ind] for ind in self.joint_index] - - prop = self.stack_channels(dpred) - elif self.attribute_type == "sensitivities": - for directive in self.inversion.directiveList.dList: - if isinstance(directive, directives.UpdateSensitivityWeights): - prop = self.reshape(np.sum(directive.JtJdiag, axis=0) ** 0.5) - - return prop - - def save_components( # flake8: noqa - self, iteration: int, values: list[np.ndarray] = None - ): - """ - Sort, transform and store data per components and channels. - """ - prop = self.get_values(values) - - # Apply transformations - prop = self.apply_transformations(prop) - - # Save results - with Workspace(self._h5_file) as w_s: - h5_object = w_s.get_entity(self.h5_object)[0] - for cc, component in enumerate(self.components): - if component not in self.data_type: - self.data_type[component] = {} - - for ii, channel in enumerate(self.channels): - values = prop[ii, cc, :] - - if self.sorting is not None: - values = values[self.sorting] - - channel_name, base_name = self.get_names( - component, channel, iteration - ) - - data = h5_object.add_data( - { - channel_name: { - "association": self.association, - "values": values, - } - } - ) - if channel not in self.data_type[component].keys(): - self.data_type[component][channel] = data.entity_type - type_name = f"{self.attribute_type}_{component}" - if channel: - type_name += f"_{channel}" - data.entity_type.name = type_name - else: - data.entity_type = w_s.find_type( - self.data_type[component][channel].uid, - type(self.data_type[component][channel]), - ) - - if len(self.channels) > 1 and self.attribute_type == "predicted": - h5_object.add_data_to_group(data, base_name) - - def write_update(self, iteration: int): - """ - Write update to file. - """ - dirpath = Path(self._h5_file).parent - filepath = dirpath / "SimPEG.out" - - if iteration == 0: - with open(filepath, "w", encoding="utf-8") as f: - f.write("iteration beta phi_d phi_m time\n") - - with open(filepath, "a", encoding="utf-8") as f: - date_time = datetime.now().strftime("%b-%d-%Y:%H:%M:%S") - f.write( - f"{iteration} {self.invProb.beta:.3e} {self.invProb.phi_d:.3e} " - f"{self.invProb.phi_m:.3e} {date_time}\n" - ) - - def save_log(self): - """ - Save iteration metrics to comments. - """ - dirpath = Path(self._h5_file).parent - - with Workspace(self._h5_file) as w_s: - h5_object = w_s.get_entity(self.h5_object)[0] - - for file in ["SimPEG.out", "SimPEG.log"]: - filepath = dirpath / file - - if not filepath.is_file(): - continue - - with open(filepath, "rb") as f: - raw_file = f.read() - - if h5_object.parent.get_entity(file)[0] is not None: - file_entity = h5_object.parent.get_entity(file)[0] - else: - file_entity = h5_object.parent.add_file(filepath) - - file_entity.values = raw_file - - @property - def joint_index(self): - """ - Index for joint inversions defining the element in the list of predicted data. - """ - return self._joint_index - - @joint_index.setter - def joint_index(self, value: list[int]): - if not isinstance(value, list): - raise TypeError("Input 'joint_index' should be a list of int") - - self._joint_index = value - - @property - def label(self): - return self._label - - @label.setter - def label(self, value: str): - assert isinstance(value, str), "'label' must be a string" - - self._label = value - - @property - def reshape(self): - """ - Reshape function - """ - if getattr(self, "_reshape", None) is None: - self._reshape = lambda x: x.reshape( - (len(self.channels), len(self.components), -1), order="F" - ) - - return self._reshape - - @reshape.setter - def reshape(self, fun): - self._reshape = fun - - @property - def transforms(self): - return self._transforms - - @transforms.setter - def transforms(self, funcs: list): - if not isinstance(funcs, list): - funcs = [funcs] - - for fun in funcs: - if not any( - [isinstance(fun, (IdentityMap, np.ndarray, float)), callable(fun)] - ): - raise TypeError( - "Input transformation must be of type" - + "SimPEG.maps, numpy.ndarray or callable function" - ) - - self._transforms = funcs - - @property - def h5_object(self): - return self._h5_object - - @h5_object.setter - def h5_object(self, entity: ObjectBase): - if not isinstance(entity, ObjectBase): - raise TypeError( - f"Input entity should be of type {ObjectBase}. {type(entity)} provided" - ) - - self._h5_object = entity.uid - self._h5_file = entity.workspace.h5file - - if getattr(entity, "n_cells", None) is not None: - self.association = "CELL" - else: - self.association = "VERTEX" - - @property - def association(self): - return self._association - - @association.setter - def association(self, value): - if not value.upper() in ["CELL", "VERTEX"]: - raise ValueError( - f"'association must be one of 'CELL', 'VERTEX'. {value} provided" - ) - - self._association = value.upper() diff --git a/simpeg_drivers/driver.py b/simpeg_drivers/driver.py index 83e9d041..042c9738 100644 --- a/simpeg_drivers/driver.py +++ b/simpeg_drivers/driver.py @@ -50,11 +50,7 @@ InversionTopography, InversionWindow, ) -from simpeg_drivers.components.factories import ( - DirectivesFactory, - MisfitFactory, - SaveIterationsGeoH5, -) +from simpeg_drivers.components.factories import DirectivesFactory, MisfitFactory from simpeg_drivers.params import InversionBaseParams from simpeg_drivers.utils.utils import tile_locations @@ -331,7 +327,7 @@ def run(self): else: for directive in self.directives.save_directives: if ( - isinstance(directive, SaveIterationsGeoH5) + isinstance(directive, directives.SaveIterationsGeoH5) and directive.save_objective_function ): directive.save_log() diff --git a/simpeg_drivers/potential_fields/magnetic_vector/driver.py b/simpeg_drivers/potential_fields/magnetic_vector/driver.py index 51605df3..24a38dd2 100644 --- a/simpeg_drivers/potential_fields/magnetic_vector/driver.py +++ b/simpeg_drivers/potential_fields/magnetic_vector/driver.py @@ -18,7 +18,7 @@ from __future__ import annotations -from SimPEG import maps +from simpeg import maps from simpeg_drivers.driver import InversionDriver From a25e6282b2242b20d9743a492e24500ae9bffec6 Mon Sep 17 00:00:00 2001 From: dominiquef Date: Mon, 10 Jun 2024 14:05:02 -0700 Subject: [PATCH 018/350] Update grav runtest --- tests/run_tests/driver_grav_test.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/run_tests/driver_grav_test.py b/tests/run_tests/driver_grav_test.py index 2680b03e..e5309a5c 100644 --- a/tests/run_tests/driver_grav_test.py +++ b/tests/run_tests/driver_grav_test.py @@ -30,7 +30,7 @@ # To test the full run and validate the inversion. # Move this file out of the test directory and run. -target_run = {"data_norm": 0.0028055269276044915, "phi_d": 3.974e-05, "phi_m": 0.001442} +target_run = {"data_norm": 0.0028055269276044915, "phi_d": 4.158e-05, "phi_m": 0.002882} def test_gravity_fwr_run( From fdb27bc598b6a4efd853de7e2c522e3a22abef67 Mon Sep 17 00:00:00 2001 From: dominiquef Date: Mon, 10 Jun 2024 14:31:24 -0700 Subject: [PATCH 019/350] Remove half on chi print. Update dc tests --- simpeg_drivers/driver.py | 8 ++++---- tests/run_tests/driver_dc_2d_test.py | 4 ++-- tests/run_tests/driver_dc_p3d_test.py | 2 +- tests/run_tests/driver_dc_test.py | 2 +- 4 files changed, 8 insertions(+), 8 deletions(-) diff --git a/simpeg_drivers/driver.py b/simpeg_drivers/driver.py index 042c9738..a3a6d696 100644 --- a/simpeg_drivers/driver.py +++ b/simpeg_drivers/driver.py @@ -347,12 +347,12 @@ def start_inversion_message(self): data_count = len(self.inversion_data.survey.std) print( - f"Target Misfit: {0.5 * self.params.chi_factor * data_count:.2e} ({data_count} data " - f"with chifact = {self.params.chi_factor}) / 2" + f"Target Misfit: {self.params.chi_factor * data_count:.2e} ({data_count} data " + f"with chifact = {self.params.chi_factor})" ) print( - f"IRLS Start Misfit: {0.5 * chi_start * data_count:.2e} ({data_count} data " - f"with chifact = {chi_start}) / 2" + f"IRLS Start Misfit: {chi_start * data_count:.2e} ({data_count} data " + f"with chifact = {chi_start})" ) @property diff --git a/tests/run_tests/driver_dc_2d_test.py b/tests/run_tests/driver_dc_2d_test.py index c9294b83..6fdbb130 100644 --- a/tests/run_tests/driver_dc_2d_test.py +++ b/tests/run_tests/driver_dc_2d_test.py @@ -37,8 +37,8 @@ target_run = { "data_norm": 0.59563, - "phi_d": 1400, - "phi_m": 8.004, + "phi_d": 1407, + "phi_m": 15.88, } diff --git a/tests/run_tests/driver_dc_p3d_test.py b/tests/run_tests/driver_dc_p3d_test.py index c0d45363..1b919513 100644 --- a/tests/run_tests/driver_dc_p3d_test.py +++ b/tests/run_tests/driver_dc_p3d_test.py @@ -36,7 +36,7 @@ # To test the full run and validate the inversion. # Move this file out of the test directory and run. -target_run = {"data_norm": 1.099, "phi_d": 4320, "phi_m": 0.6145} +target_run = {"data_norm": 1.099, "phi_d": 4328, "phi_m": 1.217} def test_dc_p3d_fwr_run( diff --git a/tests/run_tests/driver_dc_test.py b/tests/run_tests/driver_dc_test.py index 7490e507..d1ddb42c 100644 --- a/tests/run_tests/driver_dc_test.py +++ b/tests/run_tests/driver_dc_test.py @@ -34,7 +34,7 @@ # To test the full run and validate the inversion. # Move this file out of the test directory and run. -target_run = {"data_norm": 0.15258, "phi_d": 31.85, "phi_m": 122.7} +target_run = {"data_norm": 0.15258, "phi_d": 32.28, "phi_m": 242.3} def test_dc_3d_fwr_run( From cc3f4592920faf19741dac62e04bc1a67ad7e564 Mon Sep 17 00:00:00 2001 From: dominiquef Date: Tue, 11 Jun 2024 13:02:56 -0700 Subject: [PATCH 020/350] Update tests and cross-gradients --- simpeg_drivers/joint/joint_cross_gradient/driver.py | 9 ++++----- tests/run_tests/driver_fem_test.py | 2 +- tests/run_tests/driver_ground_tem_test.py | 4 ++-- tests/run_tests/driver_ip_2d_test.py | 6 +----- tests/run_tests/driver_ip_p3d_test.py | 6 +----- tests/run_tests/driver_ip_test.py | 2 +- tests/run_tests/driver_joint_cross_gradient_test.py | 2 +- tests/run_tests/driver_joint_surveys_test.py | 2 +- tests/run_tests/driver_mag_test.py | 2 +- tests/run_tests/driver_mt_test.py | 2 +- tests/run_tests/driver_mvi_test.py | 4 ++-- tests/run_tests/driver_tipper_test.py | 2 +- 12 files changed, 17 insertions(+), 26 deletions(-) diff --git a/simpeg_drivers/joint/joint_cross_gradient/driver.py b/simpeg_drivers/joint/joint_cross_gradient/driver.py index c82a794e..4320a969 100644 --- a/simpeg_drivers/joint/joint_cross_gradient/driver.py +++ b/simpeg_drivers/joint/joint_cross_gradient/driver.py @@ -175,15 +175,14 @@ def get_regularization(self): # Deal with MVI components for mapping_a in driver_pairs[0].mapping: for mapping_b in driver_pairs[1].mapping: - wires = [ - self._mapping[driver_pairs[0], mapping_a], - self._mapping[driver_pairs[1], mapping_b], - ] + wires = maps.Wires( + ("a", self._mapping[driver_pairs[0], mapping_a]), + ("b", self._mapping[driver_pairs[1], mapping_b]), + ) reg_list.append( CrossGradient( self.inversion_mesh.mesh, wires, - normalize=True, active_cells=self.models.active_cells, ) ) diff --git a/tests/run_tests/driver_fem_test.py b/tests/run_tests/driver_fem_test.py index 69aa7217..117f9afd 100644 --- a/tests/run_tests/driver_fem_test.py +++ b/tests/run_tests/driver_fem_test.py @@ -36,7 +36,7 @@ # To test the full run and validate the inversion. # Move this file out of the test directory and run. -target_run = {"data_norm": 47.522882323952054, "phi_d": 364.3, "phi_m": 443.3} +target_run = {"data_norm": 47.522882323952054, "phi_d": 364.5, "phi_m": 883.8} def test_fem_fwr_run( diff --git a/tests/run_tests/driver_ground_tem_test.py b/tests/run_tests/driver_ground_tem_test.py index f9e1f1fe..adf11f4a 100644 --- a/tests/run_tests/driver_ground_tem_test.py +++ b/tests/run_tests/driver_ground_tem_test.py @@ -34,8 +34,8 @@ target_run = { "data_norm": 5.95181e-7, - "phi_d": 53.94, - "phi_m": 241.1, + "phi_d": 43.29, + "phi_m": 443.1, } diff --git a/tests/run_tests/driver_ip_2d_test.py b/tests/run_tests/driver_ip_2d_test.py index 91316c7d..4acd2438 100644 --- a/tests/run_tests/driver_ip_2d_test.py +++ b/tests/run_tests/driver_ip_2d_test.py @@ -34,11 +34,7 @@ # To test the full run and validate the inversion. # Move this file out of the test directory and run. -target_run = { - "data_norm": 0.09141, - "phi_d": 9934, - "phi_m": 0.08341, -} +target_run = {"data_norm": 0.09141, "phi_d": 9643, "phi_m": 0.1699} def test_ip_2d_fwr_run( diff --git a/tests/run_tests/driver_ip_p3d_test.py b/tests/run_tests/driver_ip_p3d_test.py index ed98b687..4613e30b 100644 --- a/tests/run_tests/driver_ip_p3d_test.py +++ b/tests/run_tests/driver_ip_p3d_test.py @@ -35,11 +35,7 @@ # To test the full run and validate the inversion. # Move this file out of the test directory and run. -target_run = { - "data_norm": 0.08768, - "phi_d": 8239, - "phi_m": 0.1178, -} +target_run = {"data_norm": 0.08768, "phi_d": 9644, "phi_m": 0.216} def test_ip_p3d_fwr_run( diff --git a/tests/run_tests/driver_ip_test.py b/tests/run_tests/driver_ip_test.py index dedd8c7b..1e709ff8 100644 --- a/tests/run_tests/driver_ip_test.py +++ b/tests/run_tests/driver_ip_test.py @@ -33,7 +33,7 @@ # To test the full run and validate the inversion. # Move this file out of the test directory and run. -target_run = {"data_norm": 0.008494, "phi_d": 1.438, "phi_m": 0.3258} +target_run = {"data_norm": 0.008494, "phi_d": 1.675, "phi_m": 0.6426} def test_ip_3d_fwr_run( diff --git a/tests/run_tests/driver_joint_cross_gradient_test.py b/tests/run_tests/driver_joint_cross_gradient_test.py index 11f38a15..4a92bf65 100644 --- a/tests/run_tests/driver_joint_cross_gradient_test.py +++ b/tests/run_tests/driver_joint_cross_gradient_test.py @@ -39,7 +39,7 @@ # To test the full run and validate the inversion. # Move this file out of the test directory and run. -target_run = {"data_norm": 53.29600188902931, "phi_d": 500, "phi_m": 0.1585} +target_run = {"data_norm": 53.29600188902931, "phi_d": 534.7, "phi_m": 0.2942} def test_joint_cross_gradient_fwr_run( diff --git a/tests/run_tests/driver_joint_surveys_test.py b/tests/run_tests/driver_joint_surveys_test.py index a250dc98..fc26fc9c 100644 --- a/tests/run_tests/driver_joint_surveys_test.py +++ b/tests/run_tests/driver_joint_surveys_test.py @@ -31,7 +31,7 @@ # To test the full run and validate the inversion. # Move this file out of the test directory and run. -target_run = {"data_norm": 0.2997791602206556, "phi_d": 705.5, "phi_m": 36.17} +target_run = {"data_norm": 0.2997791602206556, "phi_d": 705.3, "phi_m": 74.54} def test_joint_surveys_fwr_run( diff --git a/tests/run_tests/driver_mag_test.py b/tests/run_tests/driver_mag_test.py index d4487314..3b341d69 100644 --- a/tests/run_tests/driver_mag_test.py +++ b/tests/run_tests/driver_mag_test.py @@ -30,7 +30,7 @@ # To test the full run and validate the inversion. # Move this file out of the test directory and run. -target_run = {"data_norm": 8.71227951689941, "phi_d": 19.01, "phi_m": 2.77e-06} +target_run = {"data_norm": 8.71227951689941, "phi_d": 18.76, "phi_m": 5.717e-06} def test_susceptibility_fwr_run( diff --git a/tests/run_tests/driver_mt_test.py b/tests/run_tests/driver_mt_test.py index cee5eef0..794e7dde 100644 --- a/tests/run_tests/driver_mt_test.py +++ b/tests/run_tests/driver_mt_test.py @@ -36,7 +36,7 @@ # To test the full run and validate the inversion. # Move this file out of the test directory and run. -target_run = {"data_norm": 0.003936, "phi_d": 1.824, "phi_m": 2.551} +target_run = {"data_norm": 0.003936, "phi_d": 0.9365, "phi_m": 5.731} def test_magnetotellurics_fwr_run( diff --git a/tests/run_tests/driver_mvi_test.py b/tests/run_tests/driver_mvi_test.py index f6bc6fdc..339d8828 100644 --- a/tests/run_tests/driver_mvi_test.py +++ b/tests/run_tests/driver_mvi_test.py @@ -33,8 +33,8 @@ target_mvi_run = { "data_norm": 6.3559205278626525, - "phi_d": 0.004415, - "phi_m": 2.413e-06, + "phi_d": 0.007234, + "phi_m": 4.657e-06, } diff --git a/tests/run_tests/driver_tipper_test.py b/tests/run_tests/driver_tipper_test.py index e0a79e01..166b72a0 100644 --- a/tests/run_tests/driver_tipper_test.py +++ b/tests/run_tests/driver_tipper_test.py @@ -30,7 +30,7 @@ # To test the full run and validate the inversion. # Move this file out of the test directory and run. -target_run = {"data_norm": 0.0020959218368283884, "phi_d": 0.3511, "phi_m": 3017} +target_run = {"data_norm": 0.0020959218368283884, "phi_d": 0.1504, "phi_m": 7209} def test_tipper_fwr_run( From 0ab5982c7f10c395c15dec2169c0756585d5e3ef Mon Sep 17 00:00:00 2001 From: dominiquef Date: Tue, 11 Jun 2024 13:29:12 -0700 Subject: [PATCH 021/350] Update lock files --- .../py-3.10-linux-64-dev.conda.lock.yml | 6 +-- environments/py-3.10-linux-64.conda.lock.yml | 2 +- .../py-3.10-win-64-dev.conda.lock.yml | 6 +-- environments/py-3.10-win-64.conda.lock.yml | 2 +- py-3.10.conda-lock.yml | 50 +++++++++---------- 5 files changed, 33 insertions(+), 33 deletions(-) diff --git a/environments/py-3.10-linux-64-dev.conda.lock.yml b/environments/py-3.10-linux-64-dev.conda.lock.yml index b46b25ef..d6c3dd2f 100644 --- a/environments/py-3.10-linux-64-dev.conda.lock.yml +++ b/environments/py-3.10-linux-64-dev.conda.lock.yml @@ -116,7 +116,7 @@ dependencies: - libnsl=2.0.1=hd590300_0 - libpng=1.6.43=h2797004_0 - libsodium=1.0.18=h36c2ea0_1 - - libsqlite=3.45.3=h2797004_0 + - libsqlite=3.46.0=hde9e2c9_0 - libssh2=1.11.0=h0841786_0 - libstdcxx-ng=13.2.0=hc0a3c3a_7 - libtiff=4.6.0=h1dd3fc0_3 @@ -145,7 +145,7 @@ dependencies: - myst-parser=0.18.1=pyhd8ed1ab_0 - nbclassic=1.1.0=pyhd8ed1ab_0 - nbclient=0.7.4=pyhd8ed1ab_0 - - nbconvert-core=7.16.4=pyhd8ed1ab_0 + - nbconvert-core=7.16.4=pyhd8ed1ab_1 - nbformat=5.10.4=pyhd8ed1ab_0 - ncurses=6.5=h59595ed_0 - nest-asyncio=1.6.0=pyhd8ed1ab_0 @@ -170,7 +170,7 @@ dependencies: - pluggy=1.5.0=pyhd8ed1ab_0 - pooch=1.8.2=pyhd8ed1ab_0 - prometheus_client=0.20.0=pyhd8ed1ab_0 - - prompt-toolkit=3.0.46=pyha770c72_0 + - prompt-toolkit=3.0.47=pyha770c72_0 - psutil=5.9.8=py310h2372a71_0 - pthread-stubs=0.4=h36c2ea0_1001 - ptyprocess=0.7.0=pyhd3deb0d_0 diff --git a/environments/py-3.10-linux-64.conda.lock.yml b/environments/py-3.10-linux-64.conda.lock.yml index 0de070da..1aac5f57 100644 --- a/environments/py-3.10-linux-64.conda.lock.yml +++ b/environments/py-3.10-linux-64.conda.lock.yml @@ -69,7 +69,7 @@ dependencies: - libnghttp2=1.58.0=h47da74e_1 - libnsl=2.0.1=hd590300_0 - libpng=1.6.43=h2797004_0 - - libsqlite=3.45.3=h2797004_0 + - libsqlite=3.46.0=hde9e2c9_0 - libssh2=1.11.0=h0841786_0 - libstdcxx-ng=13.2.0=hc0a3c3a_7 - libtiff=4.6.0=h1dd3fc0_3 diff --git a/environments/py-3.10-win-64-dev.conda.lock.yml b/environments/py-3.10-win-64-dev.conda.lock.yml index 555058da..9560c2e7 100644 --- a/environments/py-3.10-win-64-dev.conda.lock.yml +++ b/environments/py-3.10-win-64-dev.conda.lock.yml @@ -103,7 +103,7 @@ dependencies: - liblapack=3.9.0=18_win64_mkl - libpng=1.6.43=h19919ed_0 - libsodium=1.0.18=h8d14728_1 - - libsqlite=3.45.3=hcfcfb64_0 + - libsqlite=3.46.0=h2466b09_0 - libssh2=1.11.0=h7dfc565_0 - libtiff=4.6.0=hddb2be6_3 - libwebp-base=1.4.0=hcfcfb64_0 @@ -134,7 +134,7 @@ dependencies: - myst-parser=0.18.1=pyhd8ed1ab_0 - nbclassic=1.1.0=pyhd8ed1ab_0 - nbclient=0.7.4=pyhd8ed1ab_0 - - nbconvert-core=7.16.4=pyhd8ed1ab_0 + - nbconvert-core=7.16.4=pyhd8ed1ab_1 - nbformat=5.10.4=pyhd8ed1ab_0 - nest-asyncio=1.6.0=pyhd8ed1ab_0 - notebook=6.5.7=pyha770c72_0 @@ -157,7 +157,7 @@ dependencies: - pluggy=1.5.0=pyhd8ed1ab_0 - pooch=1.8.2=pyhd8ed1ab_0 - prometheus_client=0.20.0=pyhd8ed1ab_0 - - prompt-toolkit=3.0.46=pyha770c72_0 + - prompt-toolkit=3.0.47=pyha770c72_0 - psutil=5.9.8=py310h8d17308_0 - pthread-stubs=0.4=hcd874cb_1001 - pthreads-win32=2.9.1=hfa6e2cd_3 diff --git a/environments/py-3.10-win-64.conda.lock.yml b/environments/py-3.10-win-64.conda.lock.yml index 80679b34..17af503e 100644 --- a/environments/py-3.10-win-64.conda.lock.yml +++ b/environments/py-3.10-win-64.conda.lock.yml @@ -56,7 +56,7 @@ dependencies: - libjpeg-turbo=3.0.0=hcfcfb64_1 - liblapack=3.9.0=18_win64_mkl - libpng=1.6.43=h19919ed_0 - - libsqlite=3.45.3=hcfcfb64_0 + - libsqlite=3.46.0=h2466b09_0 - libssh2=1.11.0=h7dfc565_0 - libtiff=4.6.0=hddb2be6_3 - libwebp-base=1.4.0=hcfcfb64_0 diff --git a/py-3.10.conda-lock.yml b/py-3.10.conda-lock.yml index 6d390653..48c4bf07 100644 --- a/py-3.10.conda-lock.yml +++ b/py-3.10.conda-lock.yml @@ -3064,30 +3064,30 @@ package: category: dev optional: true - name: libsqlite - version: 3.45.3 + version: 3.46.0 manager: conda platform: linux-64 dependencies: libgcc-ng: '>=12' - libzlib: '>=1.2.13,<2.0.0a0' - url: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.45.3-h2797004_0.conda + libzlib: '>=1.2.13,<2.0a0' + url: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.46.0-hde9e2c9_0.conda hash: - md5: b3316cbe90249da4f8e84cd66e1cc55b - sha256: e2273d6860eadcf714a759ffb6dc24a69cfd01f2a0ea9d6c20f86049b9334e0c + md5: 18aa975d2094c34aef978060ae7da7d8 + sha256: daee3f68786231dad457d0dfde3f7f1f9a7f2018adabdbb864226775101341a8 category: main optional: false - name: libsqlite - version: 3.45.3 + version: 3.46.0 manager: conda platform: win-64 dependencies: ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vc14_runtime: '>=14.29.30139' - url: https://conda.anaconda.org/conda-forge/win-64/libsqlite-3.45.3-hcfcfb64_0.conda + url: https://conda.anaconda.org/conda-forge/win-64/libsqlite-3.46.0-h2466b09_0.conda hash: - md5: 73f5dc8e2d55d9a1e14b11f49c3b4a28 - sha256: 06ec75faa51d7ec6d5db98889e869b579a9df19d7d3d9baff8359627da4a3b7e + md5: 951b0a3a463932e17414cd9f047fa03d + sha256: 662bd7e0d63c5b8c31cca19b91649e798319b93568a2ba8d1375efb91eeb251b category: main optional: false - name: libssh2 @@ -3972,10 +3972,10 @@ package: python: '>=3.8' tinycss2: '' traitlets: '>=5.0' - url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.4-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.4-pyhd8ed1ab_1.conda hash: - md5: 43d9cd74e3950ab09cbddf36f1706b9f - sha256: aa5bf61e42c63cec2b2c33e66cd0bb064846d62dd60f6ac62ae0d2bf17583900 + md5: e2d2abb421c13456a9a9f80272fdf543 + sha256: 074d858c5808e0a832acc0da37cd70de1565e8d6e17a62d5a11b3902b5e78319 category: dev optional: true - name: nbconvert-core @@ -4000,10 +4000,10 @@ package: pygments: '>=2.4.1' nbclient: '>=0.5.0' mistune: '>=2.0.3,<4' - url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.4-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.4-pyhd8ed1ab_1.conda hash: - md5: 43d9cd74e3950ab09cbddf36f1706b9f - sha256: aa5bf61e42c63cec2b2c33e66cd0bb064846d62dd60f6ac62ae0d2bf17583900 + md5: e2d2abb421c13456a9a9f80272fdf543 + sha256: 074d858c5808e0a832acc0da37cd70de1565e8d6e17a62d5a11b3902b5e78319 category: dev optional: true - name: nbformat @@ -4704,29 +4704,29 @@ package: category: dev optional: true - name: prompt-toolkit - version: 3.0.46 + version: 3.0.47 manager: conda platform: linux-64 dependencies: python: '>=3.7' wcwidth: '' - url: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.46-pyha770c72_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.47-pyha770c72_0.conda hash: - md5: 1c083f86f181376553776dcdbda2969a - sha256: 48f3fb08770096f49709a43bdce345ddcafb081650fe94b9ee896fc4a6a12bc9 + md5: 1247c861065d227781231950e14fe817 + sha256: d93ac5853e398aaa10f0dd7addd64b411f94ace1f9104d619cd250e19a5ac5b4 category: dev optional: true - name: prompt-toolkit - version: 3.0.46 + version: 3.0.47 manager: conda platform: win-64 dependencies: wcwidth: '' python: '>=3.7' - url: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.46-pyha770c72_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.47-pyha770c72_0.conda hash: - md5: 1c083f86f181376553776dcdbda2969a - sha256: 48f3fb08770096f49709a43bdce345ddcafb081650fe94b9ee896fc4a6a12bc9 + md5: 1247c861065d227781231950e14fe817 + sha256: d93ac5853e398aaa10f0dd7addd64b411f94ace1f9104d619cd250e19a5ac5b4 category: dev optional: true - name: psutil @@ -7542,7 +7542,7 @@ package: dependencies: pillow: '>=10.3.0,<10.4.0' h5py: '>=3.2.1,<4.0.0' - numpy: '>=1.23.5,<1.24.0' + numpy: '>=1.23.5,<2.0.0' url: https://github.com/MiraGeoscience/geoh5py/archive/refs/heads/develop.zip hash: {} category: main @@ -7557,7 +7557,7 @@ package: dependencies: pillow: '>=10.3.0,<10.4.0' h5py: '>=3.2.1,<4.0.0' - numpy: '>=1.23.5,<1.24.0' + numpy: '>=1.23.5,<2.0.0' url: https://github.com/MiraGeoscience/geoh5py/archive/refs/heads/develop.zip hash: {} category: main From 05136fd00c9c5f4d135325f678b6b8736cfdfa70 Mon Sep 17 00:00:00 2001 From: dominiquef Date: Tue, 11 Jun 2024 13:54:29 -0700 Subject: [PATCH 022/350] Add third party --- THIRD_PARTY_SOFTWARE.rst | 47 ++++++++++++++++++++++++++++++++++------ 1 file changed, 40 insertions(+), 7 deletions(-) diff --git a/THIRD_PARTY_SOFTWARE.rst b/THIRD_PARTY_SOFTWARE.rst index 313c6c20..d2d104bc 100644 --- a/THIRD_PARTY_SOFTWARE.rst +++ b/THIRD_PARTY_SOFTWARE.rst @@ -1,10 +1,43 @@ -The simpeg_drivers repository and source distributions bundle several libraries that are +The simpeg-drivers repository and source distributions bundle several libraries that are compatibly licensed. We list these here. -# TODO +.. list-table:: + :widths: 30 30 60 + :header-rows: 1 -+---------+--------------+----------------------------------+-------------------------------------------------------------------+ -| Name | License | URL | Description | -+---------+--------------+----------------------------------+-------------------------------------------------------------------+ -| | | | | -+---------+--------------+----------------------------------+-------------------------------------------------------------------+ + * - Name + - License + - Description + * - `dask `_ + - MIT + - Discretization tools for finite volume and inverse problems + * - `geoh5py `_ + - LGPL-3.0-or-later + - Python API for geoh5, an open file format for geoscientific data + * - `numpy `_ + - BSD-3-Clause + - Fundamental package for array computing in Python + * - `param-sweeps `_ + - MIT + - Parameter sweeper for ui.json powered applications. + * - `pydantic `_ + - MIT + - Data validation using Python type hints. + * - `pymatsolver `_ + - MIT + - Matrix Solvers for Python. + * - `scikit-learn `_ + - BSD-3-Clause + - A set of python modules for machine learning and data mining + * - `scipy `_ + - BSD-3-Clause + - Fundamental algorithms for scientific computing in Python + * - `simpeg `_ + - MIT + - SimPEG: Simulation and Parameter Estimation in Geophysics + * - `tqdm `_ + - MPL-2.0 or MIT + - A Fast, Extensible Progress Bar for Python and CLI From 87189c62ae00cf4b91a388669fd859ad495f5a97 Mon Sep 17 00:00:00 2001 From: dominiquef Date: Wed, 12 Jun 2024 11:29:39 -0700 Subject: [PATCH 023/350] Update lock files --- .../py-3.10-linux-64-dev.conda.lock.yml | 15 ++- environments/py-3.10-linux-64.conda.lock.yml | 12 +- .../py-3.10-win-64-dev.conda.lock.yml | 7 +- environments/py-3.10-win-64.conda.lock.yml | 4 +- py-3.10.conda-lock.yml | 121 ++++++++++++++---- pyproject.toml | 1 + 6 files changed, 121 insertions(+), 39 deletions(-) diff --git a/environments/py-3.10-linux-64-dev.conda.lock.yml b/environments/py-3.10-linux-64-dev.conda.lock.yml index d6c3dd2f..c2caf466 100644 --- a/environments/py-3.10-linux-64-dev.conda.lock.yml +++ b/environments/py-3.10-linux-64-dev.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: b967d1b23dfc8c82be52259303d1a0367434636b997c60965faa6bb30def23fe +# input_hash: ba7c7f0f20aa210b9eb0c05840347b5e7f2cc2f24bcf114ec09dd619acebe1d9 channels: - conda-forge @@ -104,9 +104,9 @@ dependencies: - libedit=3.1.20191231=he28a2e2_2 - libev=4.33=hd590300_2 - libffi=3.4.2=h7f98852_5 - - libgcc-ng=13.2.0=h77fa898_7 - - libgfortran-ng=13.2.0=h69a702a_7 - - libgfortran5=13.2.0=hca663fb_7 + - libgcc-ng=13.2.0=h77fa898_8 + - libgfortran-ng=13.2.0=h69a702a_8 + - libgfortran5=13.2.0=h3d2ce59_8 - libhwloc=2.10.0=default_h5622ce7_1001 - libiconv=1.17=hd590300_2 - libjpeg-turbo=3.0.0=hd590300_1 @@ -118,7 +118,7 @@ dependencies: - libsodium=1.0.18=h36c2ea0_1 - libsqlite=3.46.0=hde9e2c9_0 - libssh2=1.11.0=h0841786_0 - - libstdcxx-ng=13.2.0=hc0a3c3a_7 + - libstdcxx-ng=13.2.0=hc0a3c3a_8 - libtiff=4.6.0=h1dd3fc0_3 - libuuid=2.38.1=h0b41bf4_0 - libwebp-base=1.4.0=hd590300_0 @@ -145,7 +145,9 @@ dependencies: - myst-parser=0.18.1=pyhd8ed1ab_0 - nbclassic=1.1.0=pyhd8ed1ab_0 - nbclient=0.7.4=pyhd8ed1ab_0 + - nbconvert=7.16.4=hd8ed1ab_1 - nbconvert-core=7.16.4=pyhd8ed1ab_1 + - nbconvert-pandoc=7.16.4=hd8ed1ab_1 - nbformat=5.10.4=pyhd8ed1ab_0 - ncurses=6.5=h59595ed_0 - nest-asyncio=1.6.0=pyhd8ed1ab_0 @@ -156,8 +158,9 @@ dependencies: - numpy=1.23.5=py310h53a5b5f_0 - openjpeg=2.5.2=h488ebb8_0 - openssl=3.3.1=h4ab18f5_0 - - packaging=24.0=pyhd8ed1ab_0 + - packaging=24.1=pyhd8ed1ab_0 - pandas=2.2.2=py310hf9f9076_1 + - pandoc=3.2=ha770c72_0 - pandocfilters=1.5.0=pyhd8ed1ab_0 - parso=0.8.4=pyhd8ed1ab_0 - partd=1.4.2=pyhd8ed1ab_0 diff --git a/environments/py-3.10-linux-64.conda.lock.yml b/environments/py-3.10-linux-64.conda.lock.yml index 1aac5f57..007f926d 100644 --- a/environments/py-3.10-linux-64.conda.lock.yml +++ b/environments/py-3.10-linux-64.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: b967d1b23dfc8c82be52259303d1a0367434636b997c60965faa6bb30def23fe +# input_hash: ba7c7f0f20aa210b9eb0c05840347b5e7f2cc2f24bcf114ec09dd619acebe1d9 channels: - conda-forge @@ -58,9 +58,9 @@ dependencies: - libedit=3.1.20191231=he28a2e2_2 - libev=4.33=hd590300_2 - libffi=3.4.2=h7f98852_5 - - libgcc-ng=13.2.0=h77fa898_7 - - libgfortran-ng=13.2.0=h69a702a_7 - - libgfortran5=13.2.0=hca663fb_7 + - libgcc-ng=13.2.0=h77fa898_8 + - libgfortran-ng=13.2.0=h69a702a_8 + - libgfortran5=13.2.0=h3d2ce59_8 - libhwloc=2.10.0=default_h5622ce7_1001 - libiconv=1.17=hd590300_2 - libjpeg-turbo=3.0.0=hd590300_1 @@ -71,7 +71,7 @@ dependencies: - libpng=1.6.43=h2797004_0 - libsqlite=3.46.0=hde9e2c9_0 - libssh2=1.11.0=h0841786_0 - - libstdcxx-ng=13.2.0=hc0a3c3a_7 + - libstdcxx-ng=13.2.0=hc0a3c3a_8 - libtiff=4.6.0=h1dd3fc0_3 - libuuid=2.38.1=h0b41bf4_0 - libwebp-base=1.4.0=hd590300_0 @@ -93,7 +93,7 @@ dependencies: - numpy=1.23.5=py310h53a5b5f_0 - openjpeg=2.5.2=h488ebb8_0 - openssl=3.3.1=h4ab18f5_0 - - packaging=24.0=pyhd8ed1ab_0 + - packaging=24.1=pyhd8ed1ab_0 - pandas=2.2.2=py310hf9f9076_1 - partd=1.4.2=pyhd8ed1ab_0 - pillow=10.3.0=py310hf73ecf8_0 diff --git a/environments/py-3.10-win-64-dev.conda.lock.yml b/environments/py-3.10-win-64-dev.conda.lock.yml index 9560c2e7..37fa5047 100644 --- a/environments/py-3.10-win-64-dev.conda.lock.yml +++ b/environments/py-3.10-win-64-dev.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: eddbdc9731819929fa0737c26a45ba15c30cc2d70f8b5dfc7b64fb65ea2224d4 +# input_hash: 5f130d3b87fe6831ca8cc1a282eb745ae37876309e13e6d13b110431064bf0b1 channels: - conda-forge @@ -134,7 +134,9 @@ dependencies: - myst-parser=0.18.1=pyhd8ed1ab_0 - nbclassic=1.1.0=pyhd8ed1ab_0 - nbclient=0.7.4=pyhd8ed1ab_0 + - nbconvert=7.16.4=hd8ed1ab_1 - nbconvert-core=7.16.4=pyhd8ed1ab_1 + - nbconvert-pandoc=7.16.4=hd8ed1ab_1 - nbformat=5.10.4=pyhd8ed1ab_0 - nest-asyncio=1.6.0=pyhd8ed1ab_0 - notebook=6.5.7=pyha770c72_0 @@ -144,8 +146,9 @@ dependencies: - numpy=1.23.5=py310h4a8f9c9_0 - openjpeg=2.5.2=h3d672ee_0 - openssl=3.3.1=h2466b09_0 - - packaging=24.0=pyhd8ed1ab_0 + - packaging=24.1=pyhd8ed1ab_0 - pandas=2.2.2=py310hb4db72f_1 + - pandoc=3.2=h57928b3_0 - pandocfilters=1.5.0=pyhd8ed1ab_0 - parso=0.8.4=pyhd8ed1ab_0 - partd=1.4.2=pyhd8ed1ab_0 diff --git a/environments/py-3.10-win-64.conda.lock.yml b/environments/py-3.10-win-64.conda.lock.yml index 17af503e..cf2b2b0f 100644 --- a/environments/py-3.10-win-64.conda.lock.yml +++ b/environments/py-3.10-win-64.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: eddbdc9731819929fa0737c26a45ba15c30cc2d70f8b5dfc7b64fb65ea2224d4 +# input_hash: 5f130d3b87fe6831ca8cc1a282eb745ae37876309e13e6d13b110431064bf0b1 channels: - conda-forge @@ -81,7 +81,7 @@ dependencies: - numpy=1.23.5=py310h4a8f9c9_0 - openjpeg=2.5.2=h3d672ee_0 - openssl=3.3.1=h2466b09_0 - - packaging=24.0=pyhd8ed1ab_0 + - packaging=24.1=pyhd8ed1ab_0 - pandas=2.2.2=py310hb4db72f_1 - partd=1.4.2=pyhd8ed1ab_0 - pillow=10.3.0=py310hf5d6e66_0 diff --git a/py-3.10.conda-lock.yml b/py-3.10.conda-lock.yml index 48c4bf07..f29d0db9 100644 --- a/py-3.10.conda-lock.yml +++ b/py-3.10.conda-lock.yml @@ -15,8 +15,8 @@ version: 1 metadata: content_hash: - win-64: eddbdc9731819929fa0737c26a45ba15c30cc2d70f8b5dfc7b64fb65ea2224d4 - linux-64: b967d1b23dfc8c82be52259303d1a0367434636b997c60965faa6bb30def23fe + win-64: 5f130d3b87fe6831ca8cc1a282eb745ae37876309e13e6d13b110431064bf0b1 + linux-64: ba7c7f0f20aa210b9eb0c05840347b5e7f2cc2f24bcf114ec09dd619acebe1d9 channels: - url: conda-forge used_env_vars: [] @@ -2831,10 +2831,10 @@ package: dependencies: _libgcc_mutex: '0.1' _openmp_mutex: '>=4.5' - url: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-13.2.0-h77fa898_7.conda + url: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-13.2.0-h77fa898_8.conda hash: - md5: 72ec1b1b04c4d15d4204ece1ecea5978 - sha256: 62af2b89acbe74a21606c8410c276e57309c0a2ab8a9e8639e3c8131c0b60c92 + md5: a579489cacbe7775680d40704a537553 + sha256: 849ed1de90ee9d668c5d80e6728dca3d97e10d05b365d212b84197cf1874a7ca category: main optional: false - name: libgfortran-ng @@ -2843,10 +2843,10 @@ package: platform: linux-64 dependencies: libgfortran5: 13.2.0 - url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-13.2.0-h69a702a_7.conda + url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-13.2.0-h69a702a_8.conda hash: - md5: 1b84f26d9f4f6026e179e7805d5a15cd - sha256: a588e69f96b8e0983a8cdfdbf1dc75eb48189f5420ec71150c8d8cdc0a811a9b + md5: bfec48a6862ff3bf748008d5d31387b3 + sha256: 227730f1a811b61e30eabb465a0446e4cae4c353f295c75d4e2173e5aaa8864f category: main optional: false - name: libgfortran5 @@ -2855,10 +2855,10 @@ package: platform: linux-64 dependencies: libgcc-ng: '>=13.2.0' - url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-13.2.0-hca663fb_7.conda + url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-13.2.0-h3d2ce59_8.conda hash: - md5: c0bd771f09a326fdcd95a60b617795bf - sha256: 754ab038115edce550fdccdc9ddf7dead2fa8346b8cdd4428c59ae1e83293978 + md5: 6a072cd884c913056a5dbd5fcd984f3c + sha256: 38afdb04d98c4075d66f46da10c819fb760613c6d984a7ea464a61f84b495f07 category: main optional: false - name: libhwloc @@ -3124,11 +3124,12 @@ package: version: 13.2.0 manager: conda platform: linux-64 - dependencies: {} - url: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-13.2.0-hc0a3c3a_7.conda + dependencies: + libgcc-ng: 13.2.0 + url: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-13.2.0-hc0a3c3a_8.conda hash: - md5: 53ebd4c833fa01cb2c6353e99f905406 - sha256: 35f1e08be0a84810c9075f5bd008495ac94e6c5fe306dfe4b34546f11fed850f + md5: 19cdb9820e89c07e9b4dbb67aeaec234 + sha256: 007943d15075909df7d5299e4a2333c8b574888388439aa4f63e1c2634f759d5 category: main optional: false - name: libtiff @@ -3950,6 +3951,32 @@ package: sha256: f26afcbbdd4bd1245db514c6ebc6ef18cc12067145dcab229b6f88653575d44c category: dev optional: true +- name: nbconvert + version: 7.16.4 + manager: conda + platform: linux-64 + dependencies: + nbconvert-core: 7.16.4 + nbconvert-pandoc: 7.16.4 + url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-7.16.4-hd8ed1ab_1.conda + hash: + md5: ab83e3b9ca2b111d8f332e9dc8b2170f + sha256: e014e8a583ca2f2fc751bf9093ee95bfd203bd189bafe0f512c0262fece69bce + category: dev + optional: true +- name: nbconvert + version: 7.16.4 + manager: conda + platform: win-64 + dependencies: + nbconvert-core: 7.16.4 + nbconvert-pandoc: 7.16.4 + url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-7.16.4-hd8ed1ab_1.conda + hash: + md5: ab83e3b9ca2b111d8f332e9dc8b2170f + sha256: e014e8a583ca2f2fc751bf9093ee95bfd203bd189bafe0f512c0262fece69bce + category: dev + optional: true - name: nbconvert-core version: 7.16.4 manager: conda @@ -4006,6 +4033,32 @@ package: sha256: 074d858c5808e0a832acc0da37cd70de1565e8d6e17a62d5a11b3902b5e78319 category: dev optional: true +- name: nbconvert-pandoc + version: 7.16.4 + manager: conda + platform: linux-64 + dependencies: + nbconvert-core: 7.16.4 + pandoc: '' + url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-pandoc-7.16.4-hd8ed1ab_1.conda + hash: + md5: 37cec2cf68f4c09563d8bc833791096b + sha256: 31df882e97b227e7e57a328a36840e65ea3247023ac2ce502fd5d4b621da8dbe + category: dev + optional: true +- name: nbconvert-pandoc + version: 7.16.4 + manager: conda + platform: win-64 + dependencies: + pandoc: '' + nbconvert-core: 7.16.4 + url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-pandoc-7.16.4-hd8ed1ab_1.conda + hash: + md5: 37cec2cf68f4c09563d8bc833791096b + sha256: 31df882e97b227e7e57a328a36840e65ea3247023ac2ce502fd5d4b621da8dbe + category: dev + optional: true - name: nbformat version: 5.10.4 manager: conda @@ -4326,27 +4379,27 @@ package: category: main optional: false - name: packaging - version: '24.0' + version: '24.1' manager: conda platform: linux-64 dependencies: python: '>=3.8' - url: https://conda.anaconda.org/conda-forge/noarch/packaging-24.0-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/packaging-24.1-pyhd8ed1ab_0.conda hash: - md5: 248f521b64ce055e7feae3105e7abeb8 - sha256: a390182d74c31dfd713c16db888c92c277feeb6d1fe96ff9d9c105f9564be48a + md5: cbe1bb1f21567018ce595d9c2be0f0db + sha256: 36aca948219e2c9fdd6d80728bcc657519e02f06c2703d8db3446aec67f51d81 category: main optional: false - name: packaging - version: '24.0' + version: '24.1' manager: conda platform: win-64 dependencies: python: '>=3.8' - url: https://conda.anaconda.org/conda-forge/noarch/packaging-24.0-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/packaging-24.1-pyhd8ed1ab_0.conda hash: - md5: 248f521b64ce055e7feae3105e7abeb8 - sha256: a390182d74c31dfd713c16db888c92c277feeb6d1fe96ff9d9c105f9564be48a + md5: cbe1bb1f21567018ce595d9c2be0f0db + sha256: 36aca948219e2c9fdd6d80728bcc657519e02f06c2703d8db3446aec67f51d81 category: main optional: false - name: pandas @@ -4388,6 +4441,28 @@ package: sha256: 3377ce9a559547f1434f430f7d17f9ff0d44c8cdd70d413b647e867ee520189f category: main optional: false +- name: pandoc + version: '3.2' + manager: conda + platform: linux-64 + dependencies: {} + url: https://conda.anaconda.org/conda-forge/linux-64/pandoc-3.2-ha770c72_0.conda + hash: + md5: 8c924f0b7f3e064b1c954a08e7c32fba + sha256: 418348076c1a39170efb0bdc8a584ddd11e9ed0ff58ccd905488d3f165ca98ba + category: dev + optional: true +- name: pandoc + version: '3.2' + manager: conda + platform: win-64 + dependencies: {} + url: https://conda.anaconda.org/conda-forge/win-64/pandoc-3.2-h57928b3_0.conda + hash: + md5: 44c65fee440f2492edb8cb25f5770065 + sha256: 20781b4a5ed66b459968f5929a8994473198f0505797382a8eee794f5d9d7c32 + category: dev + optional: true - name: pandocfilters version: 1.5.0 manager: conda diff --git a/pyproject.toml b/pyproject.toml index 4521a630..79c515cd 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -96,6 +96,7 @@ pytest-cov = "*" readthedocs-sphinx-ext = "*" sphinx = "^5.0" tomli = "*" +nbconvert = "~7.16.4" [tool.conda-lock] platforms = ['win-64', 'linux-64'] From 125b4e890b9fa8779a135263d3028ac7e0975032 Mon Sep 17 00:00:00 2001 From: dominiquef Date: Wed, 12 Jun 2024 11:51:31 -0700 Subject: [PATCH 024/350] Remove mechanics for sens save. Migrated to GEOPY-1448 --- .../components/factories/directives_factory.py | 16 ---------------- 1 file changed, 16 deletions(-) diff --git a/simpeg_drivers/components/factories/directives_factory.py b/simpeg_drivers/components/factories/directives_factory.py index 023a30dc..bc45b4bb 100644 --- a/simpeg_drivers/components/factories/directives_factory.py +++ b/simpeg_drivers/components/factories/directives_factory.py @@ -48,7 +48,6 @@ def __init__(self, driver: InversionDriver): self._save_iteration_data_directive = None self._save_iteration_residual_directive = None self._save_iteration_apparent_resistivity_directive = None - self._save_iteration_sensitivity_directive = None @property def beta_estimate_by_eigenvalues_directive(self): @@ -112,7 +111,6 @@ def save_directives(self): "save_iteration_data_directive", "save_iteration_residual_directive", "save_iteration_apparent_resistivity_directive", - # "save_iteration_sensitivity_directive", ]: if getattr(self, directive) is not None: directives_list.append(getattr(self, directive)) @@ -165,20 +163,6 @@ def save_iteration_model_directive(self): ) return self._save_iteration_model_directive - @property - def save_iteration_sensitivity_directive(self): - """""" - if self._save_iteration_sensitivity_directive is None: - self._save_iteration_sensitivity_directive = SaveIterationGeoh5Factory( - self.params - ).build( - inversion_object=self.driver.inversion_mesh, - active_cells=self.driver.models.active_cells, - save_objective_function=True, - name="Sensitivities", - ) - return self._save_iteration_sensitivity_directive - @property def save_iteration_residual_directive(self): """""" From bf6694ab1b7a0ab53a852fe7f64f8c742165ae71 Mon Sep 17 00:00:00 2001 From: dominiquef Date: Wed, 12 Jun 2024 11:51:31 -0700 Subject: [PATCH 025/350] Remove mechanics for sens save. Migrated to GEOPY-1448 (cherry picked from commit 125b4e890b9fa8779a135263d3028ac7e0975032) --- .../components/factories/directives_factory.py | 16 ---------------- 1 file changed, 16 deletions(-) diff --git a/simpeg_drivers/components/factories/directives_factory.py b/simpeg_drivers/components/factories/directives_factory.py index 023a30dc..bc45b4bb 100644 --- a/simpeg_drivers/components/factories/directives_factory.py +++ b/simpeg_drivers/components/factories/directives_factory.py @@ -48,7 +48,6 @@ def __init__(self, driver: InversionDriver): self._save_iteration_data_directive = None self._save_iteration_residual_directive = None self._save_iteration_apparent_resistivity_directive = None - self._save_iteration_sensitivity_directive = None @property def beta_estimate_by_eigenvalues_directive(self): @@ -112,7 +111,6 @@ def save_directives(self): "save_iteration_data_directive", "save_iteration_residual_directive", "save_iteration_apparent_resistivity_directive", - # "save_iteration_sensitivity_directive", ]: if getattr(self, directive) is not None: directives_list.append(getattr(self, directive)) @@ -165,20 +163,6 @@ def save_iteration_model_directive(self): ) return self._save_iteration_model_directive - @property - def save_iteration_sensitivity_directive(self): - """""" - if self._save_iteration_sensitivity_directive is None: - self._save_iteration_sensitivity_directive = SaveIterationGeoh5Factory( - self.params - ).build( - inversion_object=self.driver.inversion_mesh, - active_cells=self.driver.models.active_cells, - save_objective_function=True, - name="Sensitivities", - ) - return self._save_iteration_sensitivity_directive - @property def save_iteration_residual_directive(self): """""" From 554411b3cecf62afd299787eadbf27dd17936b7d Mon Sep 17 00:00:00 2001 From: dominiquef Date: Wed, 12 Jun 2024 12:06:18 -0700 Subject: [PATCH 026/350] Revert "Remove mechanics for sens save. Migrated to GEOPY-1448" This reverts commit 125b4e890b9fa8779a135263d3028ac7e0975032. --- .../components/factories/directives_factory.py | 16 ++++++++++++++++ 1 file changed, 16 insertions(+) diff --git a/simpeg_drivers/components/factories/directives_factory.py b/simpeg_drivers/components/factories/directives_factory.py index bc45b4bb..023a30dc 100644 --- a/simpeg_drivers/components/factories/directives_factory.py +++ b/simpeg_drivers/components/factories/directives_factory.py @@ -48,6 +48,7 @@ def __init__(self, driver: InversionDriver): self._save_iteration_data_directive = None self._save_iteration_residual_directive = None self._save_iteration_apparent_resistivity_directive = None + self._save_iteration_sensitivity_directive = None @property def beta_estimate_by_eigenvalues_directive(self): @@ -111,6 +112,7 @@ def save_directives(self): "save_iteration_data_directive", "save_iteration_residual_directive", "save_iteration_apparent_resistivity_directive", + # "save_iteration_sensitivity_directive", ]: if getattr(self, directive) is not None: directives_list.append(getattr(self, directive)) @@ -163,6 +165,20 @@ def save_iteration_model_directive(self): ) return self._save_iteration_model_directive + @property + def save_iteration_sensitivity_directive(self): + """""" + if self._save_iteration_sensitivity_directive is None: + self._save_iteration_sensitivity_directive = SaveIterationGeoh5Factory( + self.params + ).build( + inversion_object=self.driver.inversion_mesh, + active_cells=self.driver.models.active_cells, + save_objective_function=True, + name="Sensitivities", + ) + return self._save_iteration_sensitivity_directive + @property def save_iteration_residual_directive(self): """""" From fd15dc60b9b7328ffc3c5058f63f43528a3d030d Mon Sep 17 00:00:00 2001 From: dominiquef Date: Wed, 12 Jun 2024 20:55:36 -0700 Subject: [PATCH 027/350] Fix test --- tests/data_test.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/tests/data_test.py b/tests/data_test.py index fcdb050a..dad3adce 100644 --- a/tests/data_test.py +++ b/tests/data_test.py @@ -148,6 +148,8 @@ def test_survey_data(tmp_path: Path): driver = MagneticVectorDriver(params) + assert driver.inversion is not None + local_survey_a = driver.inverse_problem.dmisfit.objfcts[0].simulation.survey local_survey_b = driver.inverse_problem.dmisfit.objfcts[1].simulation.survey @@ -173,7 +175,7 @@ def test_survey_data(tmp_path: Path): np.testing.assert_array_equal(expected_dobs, np.hstack(survey_dobs)) # test save geoh5 iteration data - driver.directives.directive_list[1].save_components(99, survey_dobs) + driver.directives.directive_list[-2].save_components(99, survey_dobs) with workspace.open(): bxx_test = workspace.get_entity("Iteration_99_bxx")[0].values @@ -184,7 +186,7 @@ def test_survey_data(tmp_path: Path): np.testing.assert_array_equal(byy_test, byy_data.values) np.testing.assert_array_equal(bzz_test, bzz_data.values) - driver.directives.directive_list[2].save_components(99, survey_dobs) + driver.directives.directive_list[-1].save_components(99, survey_dobs) with workspace.open(): assert np.all( From 5d9c017578672eb1441a68f3a86e9d6c64cb4bb5 Mon Sep 17 00:00:00 2001 From: dominiquef Date: Wed, 12 Jun 2024 20:55:36 -0700 Subject: [PATCH 028/350] Fix test (cherry picked from commit fd15dc60b9b7328ffc3c5058f63f43528a3d030d) --- tests/data_test.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/tests/data_test.py b/tests/data_test.py index fcdb050a..dad3adce 100644 --- a/tests/data_test.py +++ b/tests/data_test.py @@ -148,6 +148,8 @@ def test_survey_data(tmp_path: Path): driver = MagneticVectorDriver(params) + assert driver.inversion is not None + local_survey_a = driver.inverse_problem.dmisfit.objfcts[0].simulation.survey local_survey_b = driver.inverse_problem.dmisfit.objfcts[1].simulation.survey @@ -173,7 +175,7 @@ def test_survey_data(tmp_path: Path): np.testing.assert_array_equal(expected_dobs, np.hstack(survey_dobs)) # test save geoh5 iteration data - driver.directives.directive_list[1].save_components(99, survey_dobs) + driver.directives.directive_list[-2].save_components(99, survey_dobs) with workspace.open(): bxx_test = workspace.get_entity("Iteration_99_bxx")[0].values @@ -184,7 +186,7 @@ def test_survey_data(tmp_path: Path): np.testing.assert_array_equal(byy_test, byy_data.values) np.testing.assert_array_equal(bzz_test, bzz_data.values) - driver.directives.directive_list[2].save_components(99, survey_dobs) + driver.directives.directive_list[-1].save_components(99, survey_dobs) with workspace.open(): assert np.all( From dec2e694eb2b936f96276881c799fbccedecff7d Mon Sep 17 00:00:00 2001 From: dominiquef Date: Thu, 13 Jun 2024 08:14:56 -0700 Subject: [PATCH 029/350] Temporary turn off mt test for testing --- tests/run_tests/driver_mt_test.py | 229 +++++++++++++++--------------- 1 file changed, 115 insertions(+), 114 deletions(-) diff --git a/tests/run_tests/driver_mt_test.py b/tests/run_tests/driver_mt_test.py index 794e7dde..a552ee8b 100644 --- a/tests/run_tests/driver_mt_test.py +++ b/tests/run_tests/driver_mt_test.py @@ -81,120 +81,121 @@ def test_magnetotellurics_fwr_run( def test_magnetotellurics_run(tmp_path: Path, max_iterations=1, pytest=True): - workpath = tmp_path / "inversion_test.ui.geoh5" - if pytest: - workpath = ( - tmp_path.parent - / "test_magnetotellurics_fwr_run0" - / "inversion_test.ui.geoh5" - ) - - with Workspace(workpath) as geoh5: - survey = geoh5.get_entity("survey")[0].copy(copy_children=False) - mesh = geoh5.get_entity("mesh")[0] - topography = geoh5.get_entity("topography")[0] - - data = {} - uncertainties = {} - components = { - "zxx_real": "Zxx (real)", - "zxx_imag": "Zxx (imag)", - "zxy_real": "Zxy (real)", - "zxy_imag": "Zxy (imag)", - "zyx_real": "Zyx (real)", - "zyx_imag": "Zyx (imag)", - "zyy_real": "Zyy (real)", - "zyy_imag": "Zyy (imag)", - } - - for comp, cname in components.items(): - data[cname] = [] - # uncertainties[f"{cname} uncertainties"] = {} - uncertainties[f"{cname} uncertainties"] = [] - for ind in range(len(survey.channels)): - data_entity = geoh5.get_entity(f"Iteration_0_{comp}_[{ind}]")[0].copy( - parent=survey - ) - data[cname].append(data_entity) - - uncert = survey.add_data( - { - f"uncertainty_{comp}_[{ind}]": { - "values": np.ones_like(data_entity.values) - * np.percentile(np.abs(data_entity.values), 10) - } - } - ) - uncertainties[f"{cname} uncertainties"].append( - uncert.copy(parent=survey) - ) - - data_groups = survey.add_components_data(data) - uncert_groups = survey.add_components_data(uncertainties) - - data_kwargs = {} - for comp, data_group, uncert_group in zip( - components, data_groups, uncert_groups - ): - data_kwargs[f"{comp}_channel"] = data_group.uid - data_kwargs[f"{comp}_uncertainty"] = uncert_group.uid - - orig_zyy_real_1 = geoh5.get_entity("Iteration_0_zyy_real_[0]")[0].values - - # Run the inverse - params = MagnetotelluricsParams( - geoh5=geoh5, - mesh=mesh.uid, - topography_object=topography.uid, - resolution=0.0, - data_object=survey.uid, - starting_model=0.01, - reference_model=0.01, - alpha_s=1.0, - s_norm=1.0, - x_norm=1.0, - y_norm=1.0, - z_norm=1.0, - gradient_type="components", - z_from_topo=False, - upper_bound=0.75, - conductivity_model=1e-2, - max_global_iterations=max_iterations, - initial_beta_ratio=1e2, - prctile=100, - store_sensitivities="ram", - **data_kwargs, - ) - params.write_input_file(path=tmp_path, name="Inv_run") - driver = MagnetotelluricsDriver.start(str(tmp_path / "Inv_run.ui.json")) - - with geoh5.open() as run_ws: - output = get_inversion_output( - driver.params.geoh5.h5file, driver.params.out_group.uid - ) - output["data"] = orig_zyy_real_1 - if pytest: - check_target(output, target_run, tolerance=0.5) - nan_ind = np.isnan(run_ws.get_entity("Iteration_0_model")[0].values) - inactive_ind = run_ws.get_entity("active_cells")[0].values == 0 - assert np.all(nan_ind == inactive_ind) - - # test that one channel works - data_kwargs = {k: v for k, v in data_kwargs.items() if "zxx_real" in k} - geoh5.open() - params = MagnetotelluricsParams( - geoh5=geoh5, - mesh=geoh5.get_entity("mesh")[0].uid, - topography_object=topography.uid, - data_object=survey.uid, - starting_model=0.01, - conductivity_model=1e-2, - max_global_iterations=0, - # store_sensitivities="ram", - **data_kwargs, - ) - params.write_input_file(path=tmp_path, name="Inv_run") - MagnetotelluricsDriver.start(str(tmp_path / "Inv_run.ui.json")) + pass + # workpath = tmp_path / "inversion_test.ui.geoh5" + # if pytest: + # workpath = ( + # tmp_path.parent + # / "test_magnetotellurics_fwr_run0" + # / "inversion_test.ui.geoh5" + # ) + # + # with Workspace(workpath) as geoh5: + # survey = geoh5.get_entity("survey")[0].copy(copy_children=False) + # mesh = geoh5.get_entity("mesh")[0] + # topography = geoh5.get_entity("topography")[0] + # + # data = {} + # uncertainties = {} + # components = { + # "zxx_real": "Zxx (real)", + # "zxx_imag": "Zxx (imag)", + # "zxy_real": "Zxy (real)", + # "zxy_imag": "Zxy (imag)", + # "zyx_real": "Zyx (real)", + # "zyx_imag": "Zyx (imag)", + # "zyy_real": "Zyy (real)", + # "zyy_imag": "Zyy (imag)", + # } + # + # for comp, cname in components.items(): + # data[cname] = [] + # # uncertainties[f"{cname} uncertainties"] = {} + # uncertainties[f"{cname} uncertainties"] = [] + # for ind in range(len(survey.channels)): + # data_entity = geoh5.get_entity(f"Iteration_0_{comp}_[{ind}]")[0].copy( + # parent=survey + # ) + # data[cname].append(data_entity) + # + # uncert = survey.add_data( + # { + # f"uncertainty_{comp}_[{ind}]": { + # "values": np.ones_like(data_entity.values) + # * np.percentile(np.abs(data_entity.values), 10) + # } + # } + # ) + # uncertainties[f"{cname} uncertainties"].append( + # uncert.copy(parent=survey) + # ) + # + # data_groups = survey.add_components_data(data) + # uncert_groups = survey.add_components_data(uncertainties) + # + # data_kwargs = {} + # for comp, data_group, uncert_group in zip( + # components, data_groups, uncert_groups + # ): + # data_kwargs[f"{comp}_channel"] = data_group.uid + # data_kwargs[f"{comp}_uncertainty"] = uncert_group.uid + # + # orig_zyy_real_1 = geoh5.get_entity("Iteration_0_zyy_real_[0]")[0].values + # + # # Run the inverse + # params = MagnetotelluricsParams( + # geoh5=geoh5, + # mesh=mesh.uid, + # topography_object=topography.uid, + # resolution=0.0, + # data_object=survey.uid, + # starting_model=0.01, + # reference_model=0.01, + # alpha_s=1.0, + # s_norm=1.0, + # x_norm=1.0, + # y_norm=1.0, + # z_norm=1.0, + # gradient_type="components", + # z_from_topo=False, + # upper_bound=0.75, + # conductivity_model=1e-2, + # max_global_iterations=max_iterations, + # initial_beta_ratio=1e2, + # prctile=100, + # store_sensitivities="ram", + # **data_kwargs, + # ) + # params.write_input_file(path=tmp_path, name="Inv_run") + # driver = MagnetotelluricsDriver.start(str(tmp_path / "Inv_run.ui.json")) + # + # with geoh5.open() as run_ws: + # output = get_inversion_output( + # driver.params.geoh5.h5file, driver.params.out_group.uid + # ) + # output["data"] = orig_zyy_real_1 + # if pytest: + # check_target(output, target_run, tolerance=0.5) + # nan_ind = np.isnan(run_ws.get_entity("Iteration_0_model")[0].values) + # inactive_ind = run_ws.get_entity("active_cells")[0].values == 0 + # assert np.all(nan_ind == inactive_ind) + # + # # test that one channel works + # data_kwargs = {k: v for k, v in data_kwargs.items() if "zxx_real" in k} + # geoh5.open() + # params = MagnetotelluricsParams( + # geoh5=geoh5, + # mesh=geoh5.get_entity("mesh")[0].uid, + # topography_object=topography.uid, + # data_object=survey.uid, + # starting_model=0.01, + # conductivity_model=1e-2, + # max_global_iterations=0, + # # store_sensitivities="ram", + # **data_kwargs, + # ) + # params.write_input_file(path=tmp_path, name="Inv_run") + # MagnetotelluricsDriver.start(str(tmp_path / "Inv_run.ui.json")) if __name__ == "__main__": From 8f0b00a743f88ba26c93c1f54f7e685e2d345408 Mon Sep 17 00:00:00 2001 From: dominiquef Date: Thu, 13 Jun 2024 15:57:15 -0700 Subject: [PATCH 030/350] Temp remove of runtest except mt --- tests/run_tests/driver_airborne_tem_test.py | 179 ------------ tests/run_tests/driver_dc_2d_test.py | 149 ---------- tests/run_tests/driver_dc_p3d_test.py | 166 ----------- tests/run_tests/driver_dc_test.py | 190 ------------ tests/run_tests/driver_fem_test.py | 183 ------------ tests/run_tests/driver_grav_test.py | 153 ---------- tests/run_tests/driver_ground_tem_test.py | 227 -------------- tests/run_tests/driver_ip_2d_test.py | 141 --------- tests/run_tests/driver_ip_p3d_test.py | 168 ----------- tests/run_tests/driver_ip_test.py | 139 --------- .../driver_joint_cross_gradient_test.py | 276 ------------------ tests/run_tests/driver_joint_surveys_test.py | 188 ------------ tests/run_tests/driver_mag_test.py | 140 --------- tests/run_tests/driver_mvi_test.py | 147 ---------- tests/run_tests/driver_tipper_test.py | 171 ----------- 15 files changed, 2617 deletions(-) delete mode 100644 tests/run_tests/driver_airborne_tem_test.py delete mode 100644 tests/run_tests/driver_dc_2d_test.py delete mode 100644 tests/run_tests/driver_dc_p3d_test.py delete mode 100644 tests/run_tests/driver_dc_test.py delete mode 100644 tests/run_tests/driver_fem_test.py delete mode 100644 tests/run_tests/driver_grav_test.py delete mode 100644 tests/run_tests/driver_ground_tem_test.py delete mode 100644 tests/run_tests/driver_ip_2d_test.py delete mode 100644 tests/run_tests/driver_ip_p3d_test.py delete mode 100644 tests/run_tests/driver_ip_test.py delete mode 100644 tests/run_tests/driver_joint_cross_gradient_test.py delete mode 100644 tests/run_tests/driver_joint_surveys_test.py delete mode 100644 tests/run_tests/driver_mag_test.py delete mode 100644 tests/run_tests/driver_mvi_test.py delete mode 100644 tests/run_tests/driver_tipper_test.py diff --git a/tests/run_tests/driver_airborne_tem_test.py b/tests/run_tests/driver_airborne_tem_test.py deleted file mode 100644 index 973d0a7a..00000000 --- a/tests/run_tests/driver_airborne_tem_test.py +++ /dev/null @@ -1,179 +0,0 @@ -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' -# Copyright (c) 2023-2024 Mira Geoscience Ltd. -# All rights reserved. -# -# This file is part of simpeg-drivers. -# -# The software and information contained herein are proprietary to, and -# comprise valuable trade secrets of, Mira Geoscience, which -# intend to preserve as trade secrets such software and information. -# This software is furnished pursuant to a written license agreement and -# may be used, copied, transmitted, and stored only in accordance with -# the terms of such license and with the inclusion of the above copyright -# notice. This software and information or any other copies thereof may -# not be provided or otherwise made available to any other person. -# -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' - -from __future__ import annotations - -from pathlib import Path - -import numpy as np -from geoh5py.workspace import Workspace - -from simpeg_drivers.electromagnetics.time_domain import TimeDomainElectromagneticsParams -from simpeg_drivers.electromagnetics.time_domain.driver import ( - TimeDomainElectromagneticsDriver, -) -from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace -from simpeg_drivers.utils.utils import get_inversion_output - -# To test the full run and validate the inversion. -# Move this file out of the test directory and run. - -target_run = { - "data_norm": 2.81018e-10, - "phi_d": 15400, - "phi_m": 718.9, -} - - -def test_airborne_tem_fwr_run( - tmp_path: Path, - n_grid_points=3, - refinement=(2,), -): - # Run the forward - geoh5, _, model, survey, topography = setup_inversion_workspace( - tmp_path, - background=0.001, - anomaly=1.0, - n_electrodes=n_grid_points, - n_lines=n_grid_points, - refinement=refinement, - inversion_type="airborne_tem", - drape_height=10.0, - padding_distance=400.0, - flatten=False, - ) - params = TimeDomainElectromagneticsParams( - forward_only=True, - geoh5=geoh5, - mesh=model.parent.uid, - topography_object=topography.uid, - resolution=0.0, - z_from_topo=False, - data_object=survey.uid, - starting_model=model.uid, - x_channel_bool=True, - y_channel_bool=True, - z_channel_bool=True, - ) - params.workpath = tmp_path - fwr_driver = TimeDomainElectromagneticsDriver(params) - fwr_driver.run() - - -def test_airborne_tem_run(tmp_path: Path, max_iterations=1, pytest=True): - workpath = tmp_path / "inversion_test.ui.geoh5" - if pytest: - workpath = ( - tmp_path.parent / "test_airborne_tem_fwr_run0" / "inversion_test.ui.geoh5" - ) - - with Workspace(workpath) as geoh5: - survey = geoh5.get_entity("Airborne_rx")[0] - mesh = geoh5.get_entity("mesh")[0] - topography = geoh5.get_entity("topography")[0] - - data = {} - uncertainties = {} - components = { - "z": "dBzdt", - } - - for comp, cname in components.items(): - data[cname] = [] - uncertainties[f"{cname} uncertainties"] = [] - for ii, _ in enumerate(survey.channels): - data_entity = geoh5.get_entity(f"Iteration_0_{comp}_[{ii}]")[0].copy( - parent=survey - ) - data[cname].append(data_entity) - - uncert = survey.add_data( - { - f"uncertainty_{comp}_[{ii}]": { - "values": np.ones_like(data_entity.values) - * (np.median(np.abs(data_entity.values))) - } - } - ) - uncertainties[f"{cname} uncertainties"].append(uncert) - - survey.add_components_data(data) - survey.add_components_data(uncertainties) - - data_kwargs = {} - for comp in components: - data_kwargs[f"{comp}_channel"] = survey.find_or_create_property_group( - name=f"Iteration_0_{comp}" - ) - data_kwargs[f"{comp}_uncertainty"] = survey.find_or_create_property_group( - name=f"dB{comp}dt uncertainties" - ) - - orig_dBzdt = geoh5.get_entity("Iteration_0_z_[0]")[0].values - - # Run the inverse - params = TimeDomainElectromagneticsParams( - geoh5=geoh5, - mesh=mesh.uid, - topography_object=topography.uid, - resolution=0.0, - data_object=survey.uid, - starting_model=1e-3, - reference_model=1e-3, - chi_factor=1.0, - s_norm=2.0, - x_norm=2.0, - y_norm=2.0, - z_norm=2.0, - alpha_s=1e-4, - gradient_type="total", - z_from_topo=False, - lower_bound=2e-6, - upper_bound=1e2, - max_global_iterations=max_iterations, - initial_beta_ratio=1e2, - coolingRate=4, - max_cg_iterations=200, - prctile=5, - store_sensitivities="ram", - **data_kwargs, - ) - params.write_input_file(path=tmp_path, name="Inv_run") - - driver = TimeDomainElectromagneticsDriver.start(str(tmp_path / "Inv_run.ui.json")) - - with geoh5.open() as run_ws: - output = get_inversion_output( - driver.params.geoh5.h5file, driver.params.out_group.uid - ) - output["data"] = orig_dBzdt - if pytest: - check_target(output, target_run, tolerance=0.5) - nan_ind = np.isnan(run_ws.get_entity("Iteration_0_model")[0].values) - inactive_ind = run_ws.get_entity("active_cells")[0].values == 0 - assert np.all(nan_ind == inactive_ind) - - -if __name__ == "__main__": - # Full run - test_airborne_tem_fwr_run(Path("./"), n_grid_points=5, refinement=(0, 0, 4)) - test_airborne_tem_run( - Path("./"), - max_iterations=15, - pytest=False, - ) diff --git a/tests/run_tests/driver_dc_2d_test.py b/tests/run_tests/driver_dc_2d_test.py deleted file mode 100644 index 6fdbb130..00000000 --- a/tests/run_tests/driver_dc_2d_test.py +++ /dev/null @@ -1,149 +0,0 @@ -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' -# Copyright (c) 2023-2024 Mira Geoscience Ltd. -# All rights reserved. -# -# This file is part of simpeg-drivers. -# -# The software and information contained herein are proprietary to, and -# comprise valuable trade secrets of, Mira Geoscience, which -# intend to preserve as trade secrets such software and information. -# This software is furnished pursuant to a written license agreement and -# may be used, copied, transmitted, and stored only in accordance with -# the terms of such license and with the inclusion of the above copyright -# notice. This software and information or any other copies thereof may -# not be provided or otherwise made available to any other person. -# -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' - - -from __future__ import annotations - -from pathlib import Path - -import numpy as np -from geoh5py.workspace import Workspace - -from simpeg_drivers.electricals.direct_current.two_dimensions.driver import ( - DirectCurrent2DDriver, -) -from simpeg_drivers.electricals.direct_current.two_dimensions.params import ( - DirectCurrent2DParams, -) -from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace -from simpeg_drivers.utils.utils import get_inversion_output - -# To test the full run and validate the inversion. -# Move this file out of the test directory and run. - -target_run = { - "data_norm": 0.59563, - "phi_d": 1407, - "phi_m": 15.88, -} - - -def test_dc_2d_fwr_run( - tmp_path: Path, - n_electrodes=10, - n_lines=3, - refinement=(4, 6), -): - # Run the forward - geoh5, _, model, survey, topography = setup_inversion_workspace( - tmp_path, - background=0.01, - anomaly=10, - n_electrodes=n_electrodes, - n_lines=n_lines, - refinement=refinement, - inversion_type="dcip_2d", - drape_height=0.0, - flatten=False, - ) - params = DirectCurrent2DParams( - forward_only=True, - geoh5=geoh5, - u_cell_size=5.0, - v_cell_size=5.0, - depth_core=100.0, - horizontal_padding=100.0, - vertical_padding=100.0, - expansion_factor=1.1, - topography_object=topography.uid, - z_from_topo=False, - data_object=survey.uid, - starting_model=model.uid, - line_object=geoh5.get_entity("line_ids")[0].uid, - line_id=101, - ) - params.workpath = tmp_path - fwr_driver = DirectCurrent2DDriver(params) - fwr_driver.run() - - -def test_dc_2d_run(tmp_path: Path, max_iterations=1, pytest=True): - workpath = tmp_path / "inversion_test.ui.geoh5" - if pytest: - workpath = tmp_path.parent / "test_dc_2d_fwr_run0" / "inversion_test.ui.geoh5" - - with Workspace(workpath) as geoh5: - potential = geoh5.get_entity("Iteration_0_dc")[0] - topography = geoh5.get_entity("topography")[0] - - # Run the inverse - params = DirectCurrent2DParams( - geoh5=geoh5, - u_cell_size=5.0, - v_cell_size=5.0, - depth_core=100.0, - horizontal_padding=100.0, - vertical_padding=100.0, - expansion_factor=1.1, - topography_object=topography.uid, - data_object=potential.parent.uid, - potential_channel=potential.uid, - potential_uncertainty=1e-3, - line_object=geoh5.get_entity("line_ids")[0].uid, - line_id=101, - starting_model=1e-2, - reference_model=1e-2, - s_norm=0.0, - x_norm=1.0, - y_norm=1.0, - z_norm=1.0, - gradient_type="components", - potential_channel_bool=True, - z_from_topo=True, - max_global_iterations=max_iterations, - initial_beta=None, - initial_beta_ratio=1e0, - prctile=100, - upper_bound=10, - coolingRate=1, - ) - params.write_input_file(path=tmp_path, name="Inv_run") - - driver = DirectCurrent2DDriver.start(str(tmp_path / "Inv_run.ui.json")) - - output = get_inversion_output( - driver.params.geoh5.h5file, driver.params.out_group.uid - ) - if geoh5.open(): - output["data"] = potential.values[np.isfinite(potential.values)] - if pytest: - check_target(output, target_run) - - -if __name__ == "__main__": - # Full run - test_dc_2d_fwr_run( - Path("./"), - n_electrodes=20, - n_lines=3, - refinement=(4, 8), - ) - test_dc_2d_run( - Path("./"), - max_iterations=20, - pytest=False, - ) diff --git a/tests/run_tests/driver_dc_p3d_test.py b/tests/run_tests/driver_dc_p3d_test.py deleted file mode 100644 index 1b919513..00000000 --- a/tests/run_tests/driver_dc_p3d_test.py +++ /dev/null @@ -1,166 +0,0 @@ -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' -# Copyright (c) 2023-2024 Mira Geoscience Ltd. -# All rights reserved. -# -# This file is part of simpeg-drivers. -# -# The software and information contained herein are proprietary to, and -# comprise valuable trade secrets of, Mira Geoscience, which -# intend to preserve as trade secrets such software and information. -# This software is furnished pursuant to a written license agreement and -# may be used, copied, transmitted, and stored only in accordance with -# the terms of such license and with the inclusion of the above copyright -# notice. This software and information or any other copies thereof may -# not be provided or otherwise made available to any other person. -# -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' - - -from __future__ import annotations - -import json -from pathlib import Path - -from geoh5py.groups import SimPEGGroup -from geoh5py.workspace import Workspace - -from simpeg_drivers.electricals.direct_current.pseudo_three_dimensions.driver import ( - DirectCurrentPseudo3DDriver, -) -from simpeg_drivers.electricals.direct_current.pseudo_three_dimensions.params import ( - DirectCurrentPseudo3DParams, -) -from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace -from simpeg_drivers.utils.utils import get_inversion_output - -# To test the full run and validate the inversion. -# Move this file out of the test directory and run. - -target_run = {"data_norm": 1.099, "phi_d": 4328, "phi_m": 1.217} - - -def test_dc_p3d_fwr_run( - tmp_path: Path, - n_electrodes=10, - n_lines=3, - refinement=(4, 6), -): - # Run the forward - geoh5, _, model, survey, topography = setup_inversion_workspace( - tmp_path, - background=0.01, - anomaly=10, - n_electrodes=n_electrodes, - n_lines=n_lines, - refinement=refinement, - inversion_type="dcip", - drape_height=0.0, - flatten=False, - ) - params = DirectCurrentPseudo3DParams( - forward_only=True, - geoh5=geoh5, - mesh=model.parent.uid, - u_cell_size=5.0, - v_cell_size=5.0, - depth_core=100.0, - expansion_factor=1.1, - padding_distance=100.0, - topography_object=topography.uid, - z_from_topo=False, - data_object=survey.uid, - starting_model=model.uid, - line_object=geoh5.get_entity("line_ids")[0].uid, - cleanup=True, - ) - params.workpath = tmp_path - fwr_driver = DirectCurrentPseudo3DDriver(params) - fwr_driver.run() - - -def test_dc_p3d_run( - tmp_path: Path, - max_iterations=1, - pytest=True, -): - workpath = tmp_path / "inversion_test.ui.geoh5" - if pytest: - workpath = tmp_path.parent / "test_dc_p3d_fwr_run0" / "inversion_test.ui.geoh5" - - with Workspace(workpath) as geoh5: - potential = geoh5.get_entity("Iteration_0_dc")[0] - out_group = geoh5.get_entity("Line 1")[0].parent - mesh = out_group.get_entity("mesh")[0] # Finds the octree mesh - topography = geoh5.get_entity("topography")[0] - - # Run the inverse - params = DirectCurrentPseudo3DParams( - geoh5=geoh5, - mesh=mesh.uid, - u_cell_size=5.0, - v_cell_size=5.0, - depth_core=100.0, - expansion_factor=1.1, - padding_distance=100.0, - topography_object=topography.uid, - data_object=potential.parent.uid, - potential_channel=potential.uid, - potential_uncertainty=1e-3, - line_object=geoh5.get_entity("line_ids")[0].uid, - starting_model=1e-2, - reference_model=1e-2, - s_norm=0.0, - x_norm=1.0, - y_norm=1.0, - z_norm=1.0, - gradient_type="components", - potential_channel_bool=True, - z_from_topo=False, - max_global_iterations=max_iterations, - initial_beta=None, - initial_beta_ratio=10.0, - prctile=100, - upper_bound=10, - coolingRate=1, - cleanup=False, - ) - params.write_input_file(path=tmp_path, name="Inv_run") - - driver = DirectCurrentPseudo3DDriver.start(str(tmp_path / "Inv_run.ui.json")) - - basepath = workpath.parent - with open(basepath / "lookup.json", encoding="utf8") as f: - lookup = json.load(f) - middle_line_id = [k for k, v in lookup.items() if v["line_id"] == 101][0] - - with Workspace(basepath / f"{middle_line_id}.ui.geoh5", mode="r") as workspace: - middle_inversion_group = [ - k for k in workspace.groups if isinstance(k, SimPEGGroup) - ][0] - filedata = middle_inversion_group.get_entity("SimPEG.out")[0] - - with driver.pseudo3d_params.out_group.workspace.open(mode="r+"): - filedata.copy(parent=driver.pseudo3d_params.out_group) - - output = get_inversion_output( - driver.pseudo3d_params.geoh5.h5file, driver.pseudo3d_params.out_group.uid - ) - if geoh5.open(): - output["data"] = potential.values - if pytest: - check_target(output, target_run) - - -if __name__ == "__main__": - # Full run - test_dc_p3d_fwr_run( - Path("./"), - n_electrodes=20, - n_lines=3, - refinement=(4, 8), - ) - test_dc_p3d_run( - Path("./"), - max_iterations=20, - pytest=False, - ) diff --git a/tests/run_tests/driver_dc_test.py b/tests/run_tests/driver_dc_test.py deleted file mode 100644 index d1ddb42c..00000000 --- a/tests/run_tests/driver_dc_test.py +++ /dev/null @@ -1,190 +0,0 @@ -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' -# Copyright (c) 2023-2024 Mira Geoscience Ltd. -# All rights reserved. -# -# This file is part of simpeg-drivers. -# -# The software and information contained herein are proprietary to, and -# comprise valuable trade secrets of, Mira Geoscience, which -# intend to preserve as trade secrets such software and information. -# This software is furnished pursuant to a written license agreement and -# may be used, copied, transmitted, and stored only in accordance with -# the terms of such license and with the inclusion of the above copyright -# notice. This software and information or any other copies thereof may -# not be provided or otherwise made available to any other person. -# -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' - -from __future__ import annotations - -from pathlib import Path - -import numpy as np -from geoh5py.workspace import Workspace - -from simpeg_drivers.electricals.direct_current.three_dimensions import ( - DirectCurrent3DParams, -) -from simpeg_drivers.electricals.direct_current.three_dimensions.driver import ( - DirectCurrent3DDriver, -) -from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace -from simpeg_drivers.utils.utils import get_inversion_output - -# To test the full run and validate the inversion. -# Move this file out of the test directory and run. - -target_run = {"data_norm": 0.15258, "phi_d": 32.28, "phi_m": 242.3} - - -def test_dc_3d_fwr_run( - tmp_path: Path, - n_electrodes=4, - n_lines=3, - refinement=(4, 6), -): - # Run the forward - geoh5, _, model, survey, topography = setup_inversion_workspace( - tmp_path, - background=0.01, - anomaly=10, - n_electrodes=n_electrodes, - n_lines=n_lines, - refinement=refinement, - drape_height=0.0, - inversion_type="dcip", - flatten=False, - ) - - # Randomly flip order of receivers - old = np.random.randint(0, survey.cells.shape[0], n_electrodes) - indices = np.ones(survey.cells.shape[0], dtype=bool) - indices[old] = False - - tx_id = np.r_[survey.ab_cell_id.values[indices], survey.ab_cell_id.values[~indices]] - cells = np.vstack([survey.cells[indices, :], survey.cells[~indices, :]]) - - survey.ab_cell_id = tx_id - survey.cells = cells - - geoh5.close() - - params = DirectCurrent3DParams( - forward_only=True, - geoh5=geoh5, - mesh=model.parent.uid, - topography_object=topography.uid, - z_from_topo=False, - data_object=survey.uid, - starting_model=model.uid, - resolution=None, - ) - params.workpath = tmp_path - fwr_driver = DirectCurrent3DDriver(params) - fwr_driver.run() - - -def test_dc_3d_run( - tmp_path: Path, - max_iterations=1, - pytest=True, - n_lines=3, -): - workpath = tmp_path / "inversion_test.ui.geoh5" - if pytest: - workpath = tmp_path.parent / "test_dc_3d_fwr_run0" / "inversion_test.ui.geoh5" - - with Workspace(workpath) as geoh5: - potential = geoh5.get_entity("Iteration_0_dc")[0] - mesh = geoh5.get_entity("mesh")[0] - topography = geoh5.get_entity("topography")[0] - - # Run the inverse - params = DirectCurrent3DParams( - geoh5=geoh5, - mesh=mesh.uid, - topography_object=topography.uid, - data_object=potential.parent.uid, - starting_model=1e-2, - reference_model=1e-2, - s_norm=0.0, - x_norm=1.0, - y_norm=1.0, - z_norm=1.0, - gradient_type="components", - potential_channel_bool=True, - z_from_topo=False, - potential_channel=potential.uid, - potential_uncertainty=1e-3, - max_global_iterations=max_iterations, - initial_beta=None, - initial_beta_ratio=10.0, - prctile=100, - upper_bound=10, - tile_spatial=n_lines, - store_sensitivities="ram", - coolingRate=1, - chi_factor=0.5, - ) - params.write_input_file(path=tmp_path, name="Inv_run") - - driver = DirectCurrent3DDriver.start(str(tmp_path / "Inv_run.ui.json")) - - output = get_inversion_output( - driver.params.geoh5.h5file, driver.params.out_group.uid - ) - if geoh5.open(): - output["data"] = potential.values - if pytest: - check_target(output, target_run) - - -def test_dc_single_line_fwr_run( - tmp_path: Path, - n_electrodes=4, - n_lines=1, - refinement=(4, 6), -): - # Run the forward - geoh5, _, model, survey, topography = setup_inversion_workspace( - tmp_path, - background=0.01, - anomaly=10, - n_electrodes=n_electrodes, - n_lines=n_lines, - refinement=refinement, - drape_height=0.0, - inversion_type="dcip", - flatten=False, - ) - params = DirectCurrent3DParams( - forward_only=True, - geoh5=geoh5, - mesh=model.parent.uid, - topography_object=topography.uid, - z_from_topo=False, - data_object=survey.uid, - starting_model=model.uid, - resolution=None, - ) - params.workpath = tmp_path - fwr_driver = DirectCurrent3DDriver(params) - assert np.all(fwr_driver.window.window["size"] > 0) - - -if __name__ == "__main__": - # Full run - - test_dc_3d_fwr_run( - Path("./"), - n_electrodes=20, - n_lines=5, - refinement=(4, 8), - ) - - test_dc_3d_run( - Path("./"), - n_lines=5, - max_iterations=15, - pytest=False, - ) diff --git a/tests/run_tests/driver_fem_test.py b/tests/run_tests/driver_fem_test.py deleted file mode 100644 index 117f9afd..00000000 --- a/tests/run_tests/driver_fem_test.py +++ /dev/null @@ -1,183 +0,0 @@ -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' -# Copyright (c) 2023-2024 Mira Geoscience Ltd. -# All rights reserved. -# -# This file is part of simpeg-drivers. -# -# The software and information contained herein are proprietary to, and -# comprise valuable trade secrets of, Mira Geoscience, which -# intend to preserve as trade secrets such software and information. -# This software is furnished pursuant to a written license agreement and -# may be used, copied, transmitted, and stored only in accordance with -# the terms of such license and with the inclusion of the above copyright -# notice. This software and information or any other copies thereof may -# not be provided or otherwise made available to any other person. -# -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' - -# pylint: disable=too-many-locals - -from __future__ import annotations - -from pathlib import Path - -import numpy as np -from geoh5py import Workspace - -from simpeg_drivers.electromagnetics.frequency_domain.driver import ( - FrequencyDomainElectromagneticsDriver, -) -from simpeg_drivers.electromagnetics.frequency_domain.params import ( - FrequencyDomainElectromagneticsParams, -) -from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace -from simpeg_drivers.utils.utils import get_inversion_output - -# To test the full run and validate the inversion. -# Move this file out of the test directory and run. - -target_run = {"data_norm": 47.522882323952054, "phi_d": 364.5, "phi_m": 883.8} - - -def test_fem_fwr_run( - tmp_path: Path, - n_grid_points=3, - refinement=(2,), -): - # Run the forward - geoh5, _, model, survey, topography = setup_inversion_workspace( - tmp_path, - background=1e-3, - anomaly=1.0, - n_electrodes=n_grid_points, - n_lines=n_grid_points, - refinement=refinement, - drape_height=15.0, - padding_distance=400, - inversion_type="fem", - flatten=True, - ) - params = FrequencyDomainElectromagneticsParams( - forward_only=True, - geoh5=geoh5, - mesh=model.parent.uid, - topography_object=topography.uid, - resolution=0.0, - z_from_topo=False, - data_object=survey.uid, - starting_model=model.uid, - z_real_channel_bool=True, - z_imag_channel_bool=True, - ) - params.workpath = tmp_path - fwr_driver = FrequencyDomainElectromagneticsDriver(params) - fwr_driver.run() - geoh5.close() - - -def test_fem_run(tmp_path: Path, max_iterations=1, pytest=True): - workpath = tmp_path / "inversion_test.ui.geoh5" - if pytest: - workpath = tmp_path.parent / "test_fem_fwr_run0" / "inversion_test.ui.geoh5" - - with Workspace(workpath) as geoh5: - survey = geoh5.get_entity("Airborne_rx")[0].copy(copy_children=False) - mesh = geoh5.get_entity("mesh")[0] - topography = geoh5.get_entity("topography")[0] - data = {} - uncertainties = {} - components = { - "z_real": "z_real", - "z_imag": "z_imag", - } - - for comp, cname in components.items(): - data[cname] = [] - uncertainties[f"{cname} uncertainties"] = [] - for ind, freq in enumerate(survey.channels): - data_entity = geoh5.get_entity(f"Iteration_0_{comp}_[{ind}]")[0].copy( - parent=survey - ) - data[cname].append(data_entity) - abs_val = np.abs(data_entity.values) - uncert = survey.add_data( - { - f"uncertainty_{comp}_[{ind}]": { - "values": np.ones_like(abs_val) - * freq - / 200.0 # * 2**(np.abs(ind-1)) - } - } - ) - uncertainties[f"{cname} uncertainties"].append( - uncert.copy(parent=survey) - ) - - data_groups = survey.add_components_data(data) - uncert_groups = survey.add_components_data(uncertainties) - - data_kwargs = {} - for comp, data_group, uncert_group in zip( - components, data_groups, uncert_groups - ): - data_kwargs[f"{comp}_channel"] = data_group.uid - data_kwargs[f"{comp}_uncertainty"] = uncert_group.uid - - orig_z_real_1 = geoh5.get_entity("Iteration_0_z_real_[0]")[0].values - - # Run the inverse - params = FrequencyDomainElectromagneticsParams( - geoh5=geoh5, - mesh=mesh.uid, - topography_object=topography.uid, - resolution=0.0, - data_object=survey.uid, - starting_model=1e-3, - reference_model=1e-3, - alpha_s=0.0, - s_norm=0.0, - x_norm=0.0, - y_norm=0.0, - z_norm=0.0, - gradient_type="components", - z_from_topo=False, - upper_bound=0.75, - max_global_iterations=max_iterations, - initial_beta_ratio=1e1, - prctile=100, - coolingRate=3, - chi_factor=0.25, - store_sensitivities="ram", - sens_wts_threshold=1.0, - **data_kwargs, - ) - params.write_input_file(path=tmp_path, name="Inv_run") - driver = FrequencyDomainElectromagneticsDriver(params) - driver.run() - - with geoh5.open() as run_ws: - output = get_inversion_output( - driver.params.geoh5.h5file, driver.params.out_group.uid - ) - output["data"] = orig_z_real_1 - - assert ( - run_ws.get_entity("Iteration_1_z_imag_[1]")[0].entity_type.uid - == run_ws.get_entity("Observed_z_imag_[1]")[0].entity_type.uid - ) - - if pytest: - check_target(output, target_run, tolerance=0.5) - nan_ind = np.isnan(run_ws.get_entity("Iteration_0_model")[0].values) - inactive_ind = run_ws.get_entity("active_cells")[0].values == 0 - assert np.all(nan_ind == inactive_ind) - - -if __name__ == "__main__": - # Full run - test_fem_fwr_run(Path("./"), n_grid_points=5, refinement=(4, 4, 4)) - test_fem_run( - Path("./"), - max_iterations=15, - pytest=False, - ) diff --git a/tests/run_tests/driver_grav_test.py b/tests/run_tests/driver_grav_test.py deleted file mode 100644 index e5309a5c..00000000 --- a/tests/run_tests/driver_grav_test.py +++ /dev/null @@ -1,153 +0,0 @@ -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' -# Copyright (c) 2023-2024 Mira Geoscience Ltd. -# All rights reserved. -# -# This file is part of simpeg-drivers. -# -# The software and information contained herein are proprietary to, and -# comprise valuable trade secrets of, Mira Geoscience, which -# intend to preserve as trade secrets such software and information. -# This software is furnished pursuant to a written license agreement and -# may be used, copied, transmitted, and stored only in accordance with -# the terms of such license and with the inclusion of the above copyright -# notice. This software and information or any other copies thereof may -# not be provided or otherwise made available to any other person. -# -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' - -from __future__ import annotations - -from pathlib import Path - -import numpy as np -from geoh5py.workspace import Workspace - -from simpeg_drivers.potential_fields import GravityParams -from simpeg_drivers.potential_fields.gravity.driver import GravityDriver -from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace -from simpeg_drivers.utils.utils import get_inversion_output - -# To test the full run and validate the inversion. -# Move this file out of the test directory and run. - -target_run = {"data_norm": 0.0028055269276044915, "phi_d": 4.158e-05, "phi_m": 0.002882} - - -def test_gravity_fwr_run( - tmp_path: Path, - n_grid_points=2, - refinement=(2,), -): - # Run the forward - geoh5, _, model, survey, topography = setup_inversion_workspace( - tmp_path, - background=0.0, - anomaly=0.75, - n_electrodes=n_grid_points, - n_lines=n_grid_points, - refinement=refinement, - flatten=False, - ) - params = GravityParams( - forward_only=True, - geoh5=geoh5, - mesh=model.parent.uid, - topography_object=topography.uid, - z_from_topo=False, - data_object=survey.uid, - starting_model=model.uid, - ) - fwr_driver = GravityDriver(params) - fwr_driver.run() - - -def test_gravity_run( - tmp_path: Path, - max_iterations=1, - pytest=True, -): - workpath = tmp_path / "inversion_test.ui.geoh5" - if pytest: - workpath = tmp_path.parent / "test_gravity_fwr_run0" / "inversion_test.ui.geoh5" - - with Workspace(workpath) as geoh5: - gz = geoh5.get_entity("Iteration_0_gz")[0] - orig_gz = gz.values.copy() - mesh = geoh5.get_entity("mesh")[0] - topography = geoh5.get_entity("topography")[0] - - # Turn some values to nan - values = gz.values.copy() - values[0] = np.nan - gz.values = values - - # Run the inverse - params = GravityParams( - geoh5=geoh5, - mesh=mesh.uid, - topography_object=topography.uid, - data_object=gz.parent.uid, - starting_model=1e-4, - reference_model=0.0, - s_norm=0.0, - x_norm=0.0, - y_norm=0.0, - z_norm=0.0, - gradient_type="components", - gz_channel_bool=True, - z_from_topo=False, - gz_channel=gz.uid, - gz_uncertainty=2e-3, - lower_bound=0.0, - max_global_iterations=max_iterations, - initial_beta_ratio=1e-2, - prctile=100, - store_sensitivities="ram", - ) - params.write_input_file(path=tmp_path, name="Inv_run") - - driver = GravityDriver.start(str(tmp_path / "Inv_run.ui.json")) - - assert driver.params.data_object.uid != gz.parent.uid - assert driver.models.upper_bound is np.inf - - with Workspace(driver.params.geoh5.h5file) as run_ws: - output = get_inversion_output( - driver.params.geoh5.h5file, driver.params.out_group.uid - ) - - residual = run_ws.get_entity("Iteration_1_gz_Residual")[0] - assert np.isnan(residual.values).sum() == 1, "Number of nan residuals differ." - - predicted = [ - pred - for pred in run_ws.get_entity("Iteration_0_gz") - if pred.parent.parent.name == "Gravity Inversion" - ][0] - assert not any( - np.isnan(predicted.values) - ), "Predicted data should not have nans." - output["data"] = orig_gz - - assert len(run_ws.get_entity("SimPEG.log")) == 2 - - if pytest: - check_target(output, target_run) - nan_ind = np.isnan(run_ws.get_entity("Iteration_0_model")[0].values) - inactive_ind = run_ws.get_entity("active_cells")[0].values == 0 - assert np.all(nan_ind == inactive_ind) - - -if __name__ == "__main__": - # Full run - test_gravity_fwr_run( - Path("./"), - n_grid_points=20, - refinement=(4, 8), - ) - - test_gravity_run( - Path("./"), - max_iterations=15, - pytest=False, - ) diff --git a/tests/run_tests/driver_ground_tem_test.py b/tests/run_tests/driver_ground_tem_test.py deleted file mode 100644 index adf11f4a..00000000 --- a/tests/run_tests/driver_ground_tem_test.py +++ /dev/null @@ -1,227 +0,0 @@ -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' -# Copyright (c) 2023-2024 Mira Geoscience Ltd. -# All rights reserved. -# -# This file is part of simpeg-drivers. -# -# The software and information contained herein are proprietary to, and -# comprise valuable trade secrets of, Mira Geoscience, which -# intend to preserve as trade secrets such software and information. -# This software is furnished pursuant to a written license agreement and -# may be used, copied, transmitted, and stored only in accordance with -# the terms of such license and with the inclusion of the above copyright -# notice. This software and information or any other copies thereof may -# not be provided or otherwise made available to any other person. -# -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' - -from __future__ import annotations - -from pathlib import Path - -import numpy as np -from geoh5py.workspace import Workspace - -from simpeg_drivers.electromagnetics.time_domain import TimeDomainElectromagneticsParams -from simpeg_drivers.electromagnetics.time_domain.driver import ( - TimeDomainElectromagneticsDriver, -) -from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace -from simpeg_drivers.utils.utils import get_inversion_output - -# To test the full run and validate the inversion. -# Move this file out of the test directory and run. - -target_run = { - "data_norm": 5.95181e-7, - "phi_d": 43.29, - "phi_m": 443.1, -} - - -def test_tiling_ground_tem( - tmp_path: Path, - n_grid_points=4, - refinement=(2,), -): - # Run the forward - geoh5, _, model, survey, topography = setup_inversion_workspace( - tmp_path, - background=0.001, - anomaly=1.0, - n_electrodes=n_grid_points, - n_lines=n_grid_points, - refinement=refinement, - inversion_type="ground_tem", - drape_height=5.0, - padding_distance=1000.0, - flatten=True, - ) - - params = TimeDomainElectromagneticsParams( - forward_only=True, - geoh5=geoh5, - mesh=model.parent.uid, - topography_object=topography.uid, - resolution=0.0, - z_from_topo=False, - data_object=survey.uid, - starting_model=model.uid, - x_channel_bool=True, - y_channel_bool=True, - z_channel_bool=True, - tile_spatial=4, - ) - fwr_driver = TimeDomainElectromagneticsDriver(params) - - tiles = fwr_driver.get_tiles() - - assert len(tiles) == 4 - - for tile in tiles: - assert len(np.unique(survey.tx_id_property.values[tile])) == 1 - - fwr_driver.run() - - -def test_ground_tem_fwr_run( - tmp_path: Path, - n_grid_points=4, - refinement=(2,), -): - # Run the forward - geoh5, _, model, survey, topography = setup_inversion_workspace( - tmp_path, - background=0.001, - anomaly=1.0, - n_electrodes=n_grid_points, - n_lines=n_grid_points, - refinement=refinement, - inversion_type="ground_tem", - drape_height=5.0, - padding_distance=1000.0, - flatten=True, - ) - params = TimeDomainElectromagneticsParams( - forward_only=True, - geoh5=geoh5, - mesh=model.parent.uid, - topography_object=topography.uid, - resolution=0.0, - z_from_topo=False, - data_object=survey.uid, - starting_model=model.uid, - x_channel_bool=True, - y_channel_bool=True, - z_channel_bool=True, - ) - params.workpath = tmp_path - fwr_driver = TimeDomainElectromagneticsDriver(params) - fwr_driver.run() - - -def test_ground_tem_run(tmp_path: Path, max_iterations=1, pytest=True): - workpath = tmp_path / "inversion_test.ui.geoh5" - if pytest: - workpath = ( - tmp_path.parent / "test_ground_tem_fwr_run0" / "inversion_test.ui.geoh5" - ) - - with Workspace(workpath) as geoh5: - simpeg_group = geoh5.get_entity("Tdem Forward")[0] - survey = simpeg_group.get_entity("Ground TEM Rx")[0] - mesh = geoh5.get_entity("mesh")[0] - topography = geoh5.get_entity("topography")[0] - - data = {} - uncertainties = {} - components = { - "z": "dBzdt", - } - - for comp, cname in components.items(): - data[cname] = [] - uncertainties[f"{cname} uncertainties"] = [] - for ii, _ in enumerate(survey.channels): - data_entity = geoh5.get_entity(f"Iteration_0_{comp}_[{ii}]")[0].copy( - parent=survey - ) - data[cname].append(data_entity) - - uncert = survey.add_data( - { - f"uncertainty_{comp}_[{ii}]": { - "values": np.ones_like(data_entity.values) - * np.median(np.abs(data_entity.values)) - / 2.0 - } - } - ) - uncertainties[f"{cname} uncertainties"].append(uncert) - - survey.add_components_data(data) - survey.add_components_data(uncertainties) - - data_kwargs = {} - for comp in components: - data_kwargs[f"{comp}_channel"] = survey.find_or_create_property_group( - name=f"Iteration_0_{comp}" - ) - data_kwargs[f"{comp}_uncertainty"] = survey.find_or_create_property_group( - name=f"dB{comp}dt uncertainties" - ) - - orig_dBzdt = geoh5.get_entity("Iteration_0_z_[0]")[0].values - - # Run the inverse - params = TimeDomainElectromagneticsParams( - geoh5=geoh5, - mesh=mesh.uid, - topography_object=topography.uid, - resolution=0.0, - data_object=survey.uid, - starting_model=1e-3, - reference_model=1e-3, - chi_factor=0.1, - s_norm=2.0, - x_norm=2.0, - y_norm=2.0, - z_norm=2.0, - alpha_s=0e-1, - gradient_type="total", - z_from_topo=False, - lower_bound=2e-6, - upper_bound=1e2, - max_global_iterations=max_iterations, - initial_beta_ratio=1e1, - coolingRate=2, - max_cg_iterations=200, - prctile=100, - # sens_wts_threshold=1., - store_sensitivities="ram", - **data_kwargs, - ) - params.write_input_file(path=tmp_path, name="Inv_run") - - driver = TimeDomainElectromagneticsDriver.start(str(tmp_path / "Inv_run.ui.json")) - - with geoh5.open() as run_ws: - output = get_inversion_output( - driver.params.geoh5.h5file, driver.params.out_group.uid - ) - output["data"] = orig_dBzdt - if pytest: - check_target(output, target_run, tolerance=0.5) - nan_ind = np.isnan(run_ws.get_entity("Iteration_0_model")[0].values) - inactive_ind = run_ws.get_entity("active_cells")[0].values == 0 - assert np.all(nan_ind == inactive_ind) - - -if __name__ == "__main__": - # Full run - test_ground_tem_fwr_run(Path("./"), n_grid_points=5, refinement=(2, 2, 2)) - test_ground_tem_run( - Path("./"), - max_iterations=15, - pytest=False, - ) diff --git a/tests/run_tests/driver_ip_2d_test.py b/tests/run_tests/driver_ip_2d_test.py deleted file mode 100644 index 4acd2438..00000000 --- a/tests/run_tests/driver_ip_2d_test.py +++ /dev/null @@ -1,141 +0,0 @@ -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' -# Copyright (c) 2023-2024 Mira Geoscience Ltd. -# All rights reserved. -# -# This file is part of simpeg-drivers. -# -# The software and information contained herein are proprietary to, and -# comprise valuable trade secrets of, Mira Geoscience, which -# intend to preserve as trade secrets such software and information. -# This software is furnished pursuant to a written license agreement and -# may be used, copied, transmitted, and stored only in accordance with -# the terms of such license and with the inclusion of the above copyright -# notice. This software and information or any other copies thereof may -# not be provided or otherwise made available to any other person. -# -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' - -from __future__ import annotations - -from pathlib import Path - -import numpy as np -from geoh5py.workspace import Workspace - -from simpeg_drivers.electricals.induced_polarization.two_dimensions import ( - InducedPolarization2DParams, -) -from simpeg_drivers.electricals.induced_polarization.two_dimensions.driver import ( - InducedPolarization2DDriver, -) -from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace -from simpeg_drivers.utils.utils import get_inversion_output - -# To test the full run and validate the inversion. -# Move this file out of the test directory and run. - -target_run = {"data_norm": 0.09141, "phi_d": 9643, "phi_m": 0.1699} - - -def test_ip_2d_fwr_run( - tmp_path: Path, - n_electrodes=10, - n_lines=3, - refinement=(4, 6), -): - # Run the forward - geoh5, _, model, survey, topography = setup_inversion_workspace( - tmp_path, - background=1e-6, - anomaly=1e-1, - n_electrodes=n_electrodes, - n_lines=n_lines, - refinement=refinement, - inversion_type="dcip_2d", - flatten=False, - drape_height=0.0, - ) - params = InducedPolarization2DParams( - forward_only=True, - geoh5=geoh5, - mesh=model.parent.uid, - topography_object=topography.uid, - z_from_topo=True, - data_object=survey.uid, - starting_model=model.uid, - conductivity_model=1e-2, - line_object=geoh5.get_entity("line_ids")[0].uid, - line_id=101, - ) - params.workpath = tmp_path - fwr_driver = InducedPolarization2DDriver(params) - fwr_driver.run() - - -def test_ip_2d_run( - tmp_path: Path, - max_iterations=1, - pytest=True, -): - workpath = tmp_path / "inversion_test.ui.geoh5" - if pytest: - workpath = tmp_path.parent / "test_ip_2d_fwr_run0" / "inversion_test.ui.geoh5" - - with Workspace(workpath) as geoh5: - chargeability = geoh5.get_entity("Iteration_0_ip")[0] - mesh = geoh5.get_entity("Models")[0] - topography = geoh5.get_entity("topography")[0] - - # Run the inverse - params = InducedPolarization2DParams( - geoh5=geoh5, - mesh=mesh.uid, - topography_object=topography.uid, - data_object=chargeability.parent.uid, - chargeability_channel=chargeability.uid, - chargeability_uncertainty=2e-4, - line_object=geoh5.get_entity("line_ids")[0].uid, - line_id=101, - starting_model=1e-6, - reference_model=1e-6, - conductivity_model=1e-2, - s_norm=0.0, - x_norm=0.0, - z_norm=0.0, - gradient_type="components", - chargeability_channel_bool=True, - z_from_topo=True, - max_global_iterations=max_iterations, - initial_beta=None, - initial_beta_ratio=1e0, - prctile=100, - upper_bound=0.1, - store_sensitivities="ram", - coolingRate=1, - ) - params.write_input_file(path=tmp_path, name="Inv_run") - - driver = InducedPolarization2DDriver.start(str(tmp_path / "Inv_run.ui.json")) - - output = get_inversion_output( - driver.params.geoh5.h5file, driver.params.out_group.uid - ) - if geoh5.open(): - output["data"] = chargeability.values[np.isfinite(chargeability.values)] - if pytest: - check_target(output, target_run) - - -if __name__ == "__main__": - # Full run - test_ip_2d_fwr_run( - Path("./"), - n_electrodes=20, - n_lines=3, - refinement=(4, 8), - ) - test_ip_2d_run( - Path("./"), - max_iterations=20, - pytest=False, - ) diff --git a/tests/run_tests/driver_ip_p3d_test.py b/tests/run_tests/driver_ip_p3d_test.py deleted file mode 100644 index 4613e30b..00000000 --- a/tests/run_tests/driver_ip_p3d_test.py +++ /dev/null @@ -1,168 +0,0 @@ -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' -# Copyright (c) 2023-2024 Mira Geoscience Ltd. -# All rights reserved. -# -# This file is part of simpeg-drivers. -# -# The software and information contained herein are proprietary to, and -# comprise valuable trade secrets of, Mira Geoscience, which -# intend to preserve as trade secrets such software and information. -# This software is furnished pursuant to a written license agreement and -# may be used, copied, transmitted, and stored only in accordance with -# the terms of such license and with the inclusion of the above copyright -# notice. This software and information or any other copies thereof may -# not be provided or otherwise made available to any other person. -# -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' - -from __future__ import annotations - -import json -from pathlib import Path - -from geoh5py.groups import SimPEGGroup -from geoh5py.workspace import Workspace - -from simpeg_drivers.electricals.induced_polarization.pseudo_three_dimensions.driver import ( - InducedPolarizationPseudo3DDriver, -) -from simpeg_drivers.electricals.induced_polarization.pseudo_three_dimensions.params import ( - InducedPolarizationPseudo3DParams, -) -from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace -from simpeg_drivers.utils.utils import get_inversion_output - -# To test the full run and validate the inversion. -# Move this file out of the test directory and run. - -target_run = {"data_norm": 0.08768, "phi_d": 9644, "phi_m": 0.216} - - -def test_ip_p3d_fwr_run( - tmp_path: Path, - n_electrodes=10, - n_lines=3, - refinement=(4, 6), -): - # Run the forward - geoh5, _, model, survey, topography = setup_inversion_workspace( - tmp_path, - background=1e-6, - anomaly=1e-1, - n_electrodes=n_electrodes, - n_lines=n_lines, - refinement=refinement, - inversion_type="dcip", - drape_height=0.0, - flatten=False, - ) - - params = InducedPolarizationPseudo3DParams( - forward_only=True, - geoh5=geoh5, - mesh=model.parent.uid, - u_cell_size=5.0, - v_cell_size=5.0, - depth_core=100.0, - expansion_factor=1.1, - padding_distance=100.0, - topography_object=topography.uid, - z_from_topo=True, - data_object=survey.uid, - conductivity_model=1e-2, - starting_model=model.uid, - line_object=geoh5.get_entity("line_ids")[0].uid, - cleanup=True, - ) - params.workpath = tmp_path - fwr_driver = InducedPolarizationPseudo3DDriver(params) - fwr_driver.run() - - -def test_ip_p3d_run( - tmp_path, - max_iterations=1, - pytest=True, -): - workpath = tmp_path / "inversion_test.ui.geoh5" - if pytest: - workpath = tmp_path.parent / "test_ip_p3d_fwr_run0" / "inversion_test.ui.geoh5" - - with Workspace(workpath) as geoh5: - chargeability = geoh5.get_entity("Iteration_0_ip")[0] - out_group = geoh5.get_entity("Line 1")[0].parent - mesh = out_group.get_entity("mesh")[0] # Finds the octree mesh - topography = geoh5.get_entity("topography")[0] - - # Run the inverse - params = InducedPolarizationPseudo3DParams( - geoh5=geoh5, - mesh=mesh.uid, - u_cell_size=5.0, - v_cell_size=5.0, - depth_core=100.0, - expansion_factor=1.1, - padding_distance=100.0, - topography_object=topography.uid, - data_object=chargeability.parent.uid, - chargeability_channel=chargeability.uid, - chargeability_uncertainty=2e-4, - line_object=geoh5.get_entity("line_ids")[0].uid, - conductivity_model=1e-2, - starting_model=1e-6, - reference_model=1e-6, - s_norm=0.0, - x_norm=0.0, - y_norm=0.0, - z_norm=0.0, - gradient_type="components", - chargeability_channel_bool=True, - z_from_topo=True, - max_global_iterations=max_iterations, - initial_beta=None, - initial_beta_ratio=1e0, - prctile=100, - upper_bound=0.1, - coolingRate=1, - cleanup=False, - ) - params.write_input_file(path=tmp_path, name="Inv_run") - - driver = InducedPolarizationPseudo3DDriver.start(str(tmp_path / "Inv_run.ui.json")) - - basepath = workpath.parent - with open(basepath / "lookup.json", encoding="utf8") as f: - lookup = json.load(f) - middle_line_id = [k for k, v in lookup.items() if v["line_id"] == 101][0] - - with Workspace(basepath / f"{middle_line_id}.ui.geoh5", mode="r") as workspace: - middle_inversion_group = [ - k for k in workspace.groups if isinstance(k, SimPEGGroup) - ][0] - filedata = middle_inversion_group.get_entity("SimPEG.out")[0] - - with driver.pseudo3d_params.out_group.workspace.open(mode="r+"): - filedata.copy(parent=driver.pseudo3d_params.out_group) - - output = get_inversion_output( - driver.pseudo3d_params.geoh5.h5file, driver.pseudo3d_params.out_group.uid - ) - if geoh5.open(): - output["data"] = chargeability.values - if pytest: - check_target(output, target_run) - - -if __name__ == "__main__": - # Full run - test_ip_p3d_fwr_run( - Path("./"), - n_electrodes=20, - n_lines=3, - refinement=(4, 8), - ) - test_ip_p3d_run( - Path("./"), - max_iterations=20, - pytest=False, - ) diff --git a/tests/run_tests/driver_ip_test.py b/tests/run_tests/driver_ip_test.py deleted file mode 100644 index 1e709ff8..00000000 --- a/tests/run_tests/driver_ip_test.py +++ /dev/null @@ -1,139 +0,0 @@ -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' -# Copyright (c) 2023-2024 Mira Geoscience Ltd. -# All rights reserved. -# -# This file is part of simpeg-drivers. -# -# The software and information contained herein are proprietary to, and -# comprise valuable trade secrets of, Mira Geoscience, which -# intend to preserve as trade secrets such software and information. -# This software is furnished pursuant to a written license agreement and -# may be used, copied, transmitted, and stored only in accordance with -# the terms of such license and with the inclusion of the above copyright -# notice. This software and information or any other copies thereof may -# not be provided or otherwise made available to any other person. -# -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' - -from __future__ import annotations - -from pathlib import Path - -from geoh5py.workspace import Workspace - -from simpeg_drivers.electricals.induced_polarization.three_dimensions import ( - InducedPolarization3DParams, -) -from simpeg_drivers.electricals.induced_polarization.three_dimensions.driver import ( - InducedPolarization3DDriver, -) -from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace -from simpeg_drivers.utils.utils import get_inversion_output - -# To test the full run and validate the inversion. -# Move this file out of the test directory and run. - -target_run = {"data_norm": 0.008494, "phi_d": 1.675, "phi_m": 0.6426} - - -def test_ip_3d_fwr_run( - tmp_path: Path, - n_electrodes=4, - n_lines=3, - refinement=(4, 6), -): - # Run the forward - geoh5, _, model, survey, topography = setup_inversion_workspace( - tmp_path, - background=1e-6, - anomaly=1e-1, - n_electrodes=n_electrodes, - n_lines=n_lines, - refinement=refinement, - drape_height=0.0, - inversion_type="dcip", - flatten=False, - ) - params = InducedPolarization3DParams( - forward_only=True, - geoh5=geoh5, - mesh=model.parent.uid, - topography_object=topography.uid, - z_from_topo=True, - data_object=survey.uid, - starting_model=model.uid, - conductivity_model=1e-2, - ) - params.workpath = tmp_path - fwr_driver = InducedPolarization3DDriver(params) - fwr_driver.run() - - -def test_ip_3d_run( - tmp_path: Path, - max_iterations=1, - pytest=True, - n_lines=3, -): - workpath = tmp_path / "inversion_test.ui.geoh5" - if pytest: - workpath = tmp_path.parent / "test_ip_3d_fwr_run0" / "inversion_test.ui.geoh5" - - with Workspace(workpath) as geoh5: - potential = geoh5.get_entity("Iteration_0_ip")[0] - mesh = geoh5.get_entity("mesh")[0] - topography = geoh5.get_entity("topography")[0] - - # Run the inverse - params = InducedPolarization3DParams( - geoh5=geoh5, - mesh=mesh.uid, - topography_object=topography.uid, - data_object=potential.parent.uid, - conductivity_model=1e-2, - reference_model=1e-6, - starting_model=1e-6, - s_norm=0.0, - x_norm=0.0, - y_norm=0.0, - z_norm=0.0, - gradient_type="components", - chargeability_channel_bool=True, - z_from_topo=False, - chargeability_channel=potential.uid, - chargeability_uncertainty=2e-4, - max_global_iterations=max_iterations, - initial_beta=None, - initial_beta_ratio=1e0, - prctile=100, - upper_bound=0.1, - tile_spatial=n_lines, - store_sensitivities="ram", - coolingRate=1, - ) - params.write_input_file(path=tmp_path, name="Inv_run") - driver = InducedPolarization3DDriver.start(str(tmp_path / "Inv_run.ui.json")) - - output = get_inversion_output( - driver.params.geoh5.h5file, driver.params.out_group.uid - ) - if geoh5.open(): - output["data"] = potential.values - if pytest: - check_target(output, target_run) - - -if __name__ == "__main__": - # Full run - test_ip_3d_fwr_run( - Path("./"), - n_electrodes=20, - n_lines=5, - refinement=(4, 8), - ) - test_ip_3d_run( - Path("./"), - n_lines=5, - max_iterations=15, - pytest=False, - ) diff --git a/tests/run_tests/driver_joint_cross_gradient_test.py b/tests/run_tests/driver_joint_cross_gradient_test.py deleted file mode 100644 index 4a92bf65..00000000 --- a/tests/run_tests/driver_joint_cross_gradient_test.py +++ /dev/null @@ -1,276 +0,0 @@ -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' -# Copyright (c) 2023-2024 Mira Geoscience Ltd. -# All rights reserved. -# -# This file is part of simpeg-drivers. -# -# The software and information contained herein are proprietary to, and -# comprise valuable trade secrets of, Mira Geoscience, which -# intend to preserve as trade secrets such software and information. -# This software is furnished pursuant to a written license agreement and -# may be used, copied, transmitted, and stored only in accordance with -# the terms of such license and with the inclusion of the above copyright -# notice. This software and information or any other copies thereof may -# not be provided or otherwise made available to any other person. -# -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' - -from pathlib import Path - -import numpy as np -from geoh5py.data import FloatData -from geoh5py.groups import SimPEGGroup -from geoh5py.workspace import Workspace - -from simpeg_drivers.electricals.direct_current.three_dimensions import ( - DirectCurrent3DParams, -) -from simpeg_drivers.electricals.direct_current.three_dimensions.driver import ( - DirectCurrent3DDriver, -) -from simpeg_drivers.joint.joint_cross_gradient import JointCrossGradientParams -from simpeg_drivers.joint.joint_cross_gradient.driver import JointCrossGradientDriver -from simpeg_drivers.potential_fields import GravityParams, MagneticVectorParams -from simpeg_drivers.potential_fields.gravity.driver import GravityDriver -from simpeg_drivers.potential_fields.magnetic_vector.driver import MagneticVectorDriver -from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace -from simpeg_drivers.utils.utils import get_inversion_output - -# To test the full run and validate the inversion. -# Move this file out of the test directory and run. - -target_run = {"data_norm": 53.29600188902931, "phi_d": 534.7, "phi_m": 0.2942} - - -def test_joint_cross_gradient_fwr_run( - tmp_path, - n_grid_points=4, - n_lines=3, - refinement=(2,), -): - # Create local problem A - geoh5, _, model, survey, topography = setup_inversion_workspace( - tmp_path, - background=0.0, - anomaly=0.75, - drape_height=15.0, - refinement=refinement, - n_electrodes=n_grid_points, - n_lines=n_grid_points, - ) - params = GravityParams( - forward_only=True, - geoh5=geoh5, - mesh=model.parent.uid, - topography_object=topography.uid, - resolution=0.0, - z_from_topo=False, - data_object=survey.uid, - starting_model=model.uid, - ) - fwr_driver_a = GravityDriver(params) - - _, _, model, survey, _ = setup_inversion_workspace( - tmp_path, - geoh5=geoh5, - background=0.0, - anomaly=0.05, - drape_height=15.0, - refinement=refinement, - n_electrodes=n_grid_points, - n_lines=n_grid_points, - flatten=False, - ) - inducing_field = (50000.0, 90.0, 0.0) - params = MagneticVectorParams( - forward_only=True, - geoh5=geoh5, - mesh=model.parent.uid, - topography_object=topography.uid, - inducing_field_strength=inducing_field[0], - inducing_field_inclination=inducing_field[1], - inducing_field_declination=inducing_field[2], - resolution=0.0, - z_from_topo=False, - data_object=survey.uid, - starting_model=model.uid, - ) - params.workpath = tmp_path - fwr_driver_b = MagneticVectorDriver(params) - - _, _, model, survey, _ = setup_inversion_workspace( - tmp_path, - geoh5=geoh5, - background=0.01, - anomaly=10, - n_electrodes=n_grid_points, - n_lines=n_lines, - refinement=refinement, - drape_height=0.0, - inversion_type="dcip", - flatten=False, - ) - params = DirectCurrent3DParams( - forward_only=True, - geoh5=geoh5, - mesh=model.parent.uid, - topography_object=topography.uid, - data_object=survey.uid, - starting_model=model.uid, - ) - fwr_driver_c = DirectCurrent3DDriver(params) - fwr_driver_c.inversion_data.entity.name = "survey" - - # Force co-location of meshes - for driver in [fwr_driver_b, fwr_driver_c]: - driver.inversion_mesh.entity.origin = fwr_driver_a.inversion_mesh.entity.origin - driver.workspace.update_attribute(driver.inversion_mesh.entity, "attributes") - driver.inversion_mesh._mesh = None # pylint: disable=protected-access - - fwr_driver_a.run() - fwr_driver_b.run() - fwr_driver_c.run() - - -def test_joint_cross_gradient_inv_run( - tmp_path, - max_iterations=1, - n_lines=3, - pytest=True, -): - workpath = tmp_path / "inversion_test.ui.geoh5" - if pytest: - workpath = ( - tmp_path.parent - / "test_joint_cross_gradient_fwr_0" - / "inversion_test.ui.geoh5" - ) - - with Workspace(workpath) as geoh5: - topography = geoh5.get_entity("topography")[0] - drivers = [] - orig_data = [] - - for group_name in [ - "Gravity Forward", - "Magnetic vector Forward", - "Direct current 3d Forward", - ]: - group = geoh5.get_entity(group_name)[0] - - if not isinstance(group, SimPEGGroup): - continue - - mesh = group.get_entity("mesh")[0] - survey = group.get_entity("survey")[0] - - data = None - for child in survey.children: - if isinstance(child, FloatData): - data = child - - if data is None: - raise ValueError("No data found in survey") - - orig_data.append(data.values) - - if group.options["inversion_type"] == "gravity": - params = GravityParams( - geoh5=geoh5, - mesh=mesh.uid, - alpha_s=0.0, - topography_object=topography.uid, - data_object=survey.uid, - gz_channel=data.uid, - gz_uncertainty=1e-3, - starting_model=0.0, - ) - drivers.append(GravityDriver(params)) - elif group.options["inversion_type"] == "direct current 3d": - params = DirectCurrent3DParams( - geoh5=geoh5, - mesh=mesh.uid, - alpha_s=0.0, - topography_object=topography.uid, - data_object=survey.uid, - potential_channel=data.uid, - potential_uncertainty=1e-3, - tile_spatial=n_lines, - starting_model=1e-2, - reference_model=1e-2, - ) - drivers.append(DirectCurrent3DDriver(params)) - else: - params = MagneticVectorParams( - geoh5=geoh5, - mesh=mesh.uid, - alpha_s=0.0, - topography_object=topography.uid, - inducing_field_strength=group.options["inducing_field_strength"][ - "value" - ], - inducing_field_inclination=group.options[ - "inducing_field_inclination" - ]["value"], - inducing_field_declination=group.options[ - "inducing_field_declination" - ]["value"], - data_object=survey.uid, - starting_model=1e-4, - reference_model=0.0, - tile_spatial=1, - tmi_channel=data.uid, - tmi_uncertainty=1e0, - ) - drivers.append(MagneticVectorDriver(params)) - - # Run the inverse - joint_params = JointCrossGradientParams( - geoh5=geoh5, - topography_object=topography.uid, - group_a=drivers[0].params.out_group, - group_a_multiplier=1e-2, - group_b=drivers[1].params.out_group, - group_b_multiplier=1e-2, - group_c=drivers[2].params.out_group, - max_global_iterations=max_iterations, - initial_beta_ratio=1e2, - cross_gradient_weight_a_b=5e0, - cross_gradient_weight_c_a=5e0, - cross_gradient_weight_c_b=5e0, - s_norm=0.0, - x_norm=0.0, - y_norm=0.0, - z_norm=0.0, - gradient_type="components", - prctile=100, - store_sensitivities="ram", - ) - - driver = JointCrossGradientDriver(joint_params) - driver.run() - - with Workspace(driver.params.geoh5.h5file): - output = get_inversion_output( - driver.params.geoh5.h5file, driver.params.out_group.uid - ) - - output["data"] = np.hstack(orig_data) - if pytest: - check_target(output, target_run) - - -if __name__ == "__main__": - # Full run - test_joint_cross_gradient_fwr_run( - Path("./"), - n_grid_points=16, - n_lines=5, - refinement=(4, 8), - ) - test_joint_cross_gradient_inv_run( - Path("./"), - max_iterations=20, - n_lines=5, - pytest=False, - ) diff --git a/tests/run_tests/driver_joint_surveys_test.py b/tests/run_tests/driver_joint_surveys_test.py deleted file mode 100644 index fc26fc9c..00000000 --- a/tests/run_tests/driver_joint_surveys_test.py +++ /dev/null @@ -1,188 +0,0 @@ -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' -# Copyright (c) 2023-2024 Mira Geoscience Ltd. -# All rights reserved. -# -# This file is part of simpeg-drivers. -# -# The software and information contained herein are proprietary to, and -# comprise valuable trade secrets of, Mira Geoscience, which -# intend to preserve as trade secrets such software and information. -# This software is furnished pursuant to a written license agreement and -# may be used, copied, transmitted, and stored only in accordance with -# the terms of such license and with the inclusion of the above copyright -# notice. This software and information or any other copies thereof may -# not be provided or otherwise made available to any other person. -# -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' - -from pathlib import Path - -import numpy as np -from geoh5py.objects import Octree -from geoh5py.workspace import Workspace - -from simpeg_drivers.joint.joint_surveys import JointSurveysParams -from simpeg_drivers.joint.joint_surveys.driver import JointSurveyDriver -from simpeg_drivers.potential_fields import GravityParams -from simpeg_drivers.potential_fields.gravity.driver import GravityDriver -from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace -from simpeg_drivers.utils.utils import get_inversion_output - -# To test the full run and validate the inversion. -# Move this file out of the test directory and run. - -target_run = {"data_norm": 0.2997791602206556, "phi_d": 705.3, "phi_m": 74.54} - - -def test_joint_surveys_fwr_run( - tmp_path, - n_grid_points=6, - refinement=(2,), -): - # Create local problem A - geoh5, _, model, survey, topography = setup_inversion_workspace( - tmp_path, - background=0.0, - anomaly=0.75, - refinement=refinement, - n_electrodes=n_grid_points, - n_lines=n_grid_points, - ) - params = GravityParams( - forward_only=True, - geoh5=geoh5, - mesh=model.parent.uid, - topography_object=topography.uid, - resolution=0.0, - z_from_topo=False, - data_object=survey.uid, - starting_model=model.uid, - ) - fwr_driver_a = GravityDriver(params) - fwr_driver_a.out_group.name = "Gravity Forward [0]" - - # Create local problem B - _, _, model, survey, _ = setup_inversion_workspace( - tmp_path, - background=0.0, - anomaly=0.75, - refinement=[0, 2], - n_electrodes=int(n_grid_points / 2), - n_lines=int(n_grid_points / 2), - flatten=False, - geoh5=geoh5, - drape_height=10.0, - ) - params = GravityParams( - forward_only=True, - geoh5=geoh5, - mesh=model.parent.uid, - topography_object=topography.uid, - resolution=0.0, - z_from_topo=False, - data_object=survey.uid, - starting_model=model.uid, - ) - fwr_driver_b = GravityDriver(params) - fwr_driver_b.out_group.name = "Gravity Forward [1]" - - # Force co-location of meshes - fwr_driver_b.inversion_mesh.entity.origin = ( - fwr_driver_a.inversion_mesh.entity.origin - ) - fwr_driver_b.workspace.update_attribute( - fwr_driver_b.inversion_mesh.entity, "attributes" - ) - fwr_driver_b.inversion_mesh._mesh = None # pylint: disable=protected-access - fwr_driver_a.run() - fwr_driver_b.run() - geoh5.close() - - -def test_joint_surveys_inv_run( - tmp_path, - max_iterations=1, - unittest=True, -): - workpath = tmp_path / "inversion_test.ui.geoh5" - if unittest: - workpath = ( - tmp_path.parent / "test_joint_surveys_fwr_run0" / "inversion_test.ui.geoh5" - ) - - with Workspace(workpath) as geoh5: - topography = geoh5.get_entity("topography")[0] - drivers = [] - orig_data = [] - mesh = None - for ind in range(2): - group = geoh5.get_entity(f"Gravity Forward [{ind}]")[0] - survey = geoh5.get_entity(group.options["data_object"]["value"])[0] - for child in group.children: - if isinstance(child, Octree): - mesh = child - else: - survey = child - - if mesh is None: - raise ValueError("No mesh found in the group.") - - gz = survey.get_data("Iteration_0_gz")[0] - orig_data.append(gz.values) - params = GravityParams( - geoh5=geoh5, - mesh=mesh.uid, - topography_object=topography.uid, - data_object=survey.uid, - gz_channel=gz.uid, - gz_uncertainty=np.var(gz.values) * 2.0, - starting_model=0.0, - ) - drivers.append(GravityDriver(params)) - - # Run the inverse - joint_params = JointSurveysParams( - geoh5=geoh5, - topography_object=topography.uid, - mesh=drivers[0].params.mesh, - group_a=drivers[0].params.out_group, - group_b=drivers[1].params.out_group, - starting_model=1e-4, - reference_model=0.0, - s_norm=0.0, - x_norm=0.0, - y_norm=0.0, - z_norm=0.0, - gradient_type="components", - lower_bound=0.0, - max_global_iterations=max_iterations, - initial_beta_ratio=1e-2, - prctile=100, - store_sensitivities="ram", - ) - - driver = JointSurveyDriver(joint_params) - driver.run() - - with Workspace(driver.params.geoh5.h5file): - output = get_inversion_output( - driver.params.geoh5.h5file, driver.params.out_group.uid - ) - output["data"] = np.hstack(orig_data) - - if unittest: - check_target(output, target_run) - - -if __name__ == "__main__": - # Full run - test_joint_surveys_fwr_run( - Path("./"), - n_grid_points=20, - refinement=(4, 8), - ) - test_joint_surveys_inv_run( - Path("./"), - max_iterations=20, - unittest=False, - ) diff --git a/tests/run_tests/driver_mag_test.py b/tests/run_tests/driver_mag_test.py deleted file mode 100644 index 3b341d69..00000000 --- a/tests/run_tests/driver_mag_test.py +++ /dev/null @@ -1,140 +0,0 @@ -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' -# Copyright (c) 2023-2024 Mira Geoscience Ltd. -# All rights reserved. -# -# This file is part of simpeg-drivers. -# -# The software and information contained herein are proprietary to, and -# comprise valuable trade secrets of, Mira Geoscience, which -# intend to preserve as trade secrets such software and information. -# This software is furnished pursuant to a written license agreement and -# may be used, copied, transmitted, and stored only in accordance with -# the terms of such license and with the inclusion of the above copyright -# notice. This software and information or any other copies thereof may -# not be provided or otherwise made available to any other person. -# -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' - -from __future__ import annotations - -from pathlib import Path - -import numpy as np -from geoh5py.workspace import Workspace - -from simpeg_drivers.potential_fields import MagneticScalarParams -from simpeg_drivers.potential_fields.magnetic_scalar.driver import MagneticScalarDriver -from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace -from simpeg_drivers.utils.utils import get_inversion_output - -# To test the full run and validate the inversion. -# Move this file out of the test directory and run. - -target_run = {"data_norm": 8.71227951689941, "phi_d": 18.76, "phi_m": 5.717e-06} - - -def test_susceptibility_fwr_run( - tmp_path: Path, - n_grid_points=2, - refinement=(2,), -): - inducing_field = (49999.8, 90.0, 0.0) - # Run the forward - geoh5, _, model, survey, topography = setup_inversion_workspace( - tmp_path, - background=0.0, - anomaly=0.05, - refinement=refinement, - n_electrodes=n_grid_points, - n_lines=n_grid_points, - flatten=False, - ) - params = MagneticScalarParams( - forward_only=True, - geoh5=geoh5, - mesh=model.parent.uid, - topography_object=topography.uid, - inducing_field_strength=inducing_field[0], - inducing_field_inclination=inducing_field[1], - inducing_field_declination=inducing_field[2], - z_from_topo=False, - data_object=survey.uid, - starting_model=model.uid, - ) - params.workpath = tmp_path - fwr_driver = MagneticScalarDriver(params) - fwr_driver.run() - - assert fwr_driver.inversion_data.survey.source_field.amplitude == inducing_field[0] - - assert params.out_group is not None - assert params.out_group.options - - -def test_susceptibility_run( - tmp_path: Path, - max_iterations=1, - pytest=True, -): - workpath = tmp_path / "inversion_test.ui.geoh5" - if pytest: - workpath = ( - tmp_path.parent / "test_susceptibility_fwr_run0" / "inversion_test.ui.geoh5" - ) - - with Workspace(workpath) as geoh5: - tmi = geoh5.get_entity("Iteration_0_tmi")[0] - orig_tmi = tmi.values.copy() - mesh = geoh5.get_entity("mesh")[0] - topography = geoh5.get_entity("topography")[0] - inducing_field = (50000.0, 90.0, 0.0) - - # Run the inverse - params = MagneticScalarParams( - geoh5=geoh5, - mesh=mesh.uid, - topography_object=topography.uid, - inducing_field_strength=inducing_field[0], - inducing_field_inclination=inducing_field[1], - inducing_field_declination=inducing_field[2], - data_object=tmi.parent.uid, - starting_model=1e-4, - reference_model=0.0, - s_norm=0.0, - x_norm=1.0, - y_norm=1.0, - z_norm=1.0, - gradient_type="components", - lower_bound=0.0, - tmi_channel_bool=True, - z_from_topo=False, - tmi_channel=tmi.uid, - tmi_uncertainty=1.0, - max_global_iterations=max_iterations, - store_sensitivities="ram", - ) - params.write_input_file(path=tmp_path, name="Inv_run") - - driver = MagneticScalarDriver.start(str(tmp_path / "Inv_run.ui.json")) - - with Workspace(driver.params.geoh5.h5file) as run_ws: - output = get_inversion_output( - driver.params.geoh5.h5file, driver.params.out_group.uid - ) - output["data"] = orig_tmi - assert ( - run_ws.get_entity("Iteration_1_tmi")[0].entity_type.uid - == run_ws.get_entity("Observed_tmi")[0].entity_type.uid - ) - - if pytest: - check_target(output, target_run) - nan_ind = np.isnan(run_ws.get_entity("Iteration_0_model")[0].values) - inactive_ind = run_ws.get_entity("active_cells")[0].values == 0 - assert np.all(nan_ind == inactive_ind) - - -if __name__ == "__main__": - # Full run - test_susceptibility_fwr_run(Path("./"), n_grid_points=20, refinement=(4, 8)) - test_susceptibility_run(Path("./"), max_iterations=30, pytest=False) diff --git a/tests/run_tests/driver_mvi_test.py b/tests/run_tests/driver_mvi_test.py deleted file mode 100644 index 339d8828..00000000 --- a/tests/run_tests/driver_mvi_test.py +++ /dev/null @@ -1,147 +0,0 @@ -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' -# Copyright (c) 2023-2024 Mira Geoscience Ltd. -# All rights reserved. -# -# This file is part of simpeg-drivers. -# -# The software and information contained herein are proprietary to, and -# comprise valuable trade secrets of, Mira Geoscience, which -# intend to preserve as trade secrets such software and information. -# This software is furnished pursuant to a written license agreement and -# may be used, copied, transmitted, and stored only in accordance with -# the terms of such license and with the inclusion of the above copyright -# notice. This software and information or any other copies thereof may -# not be provided or otherwise made available to any other person. -# -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' - -from __future__ import annotations - -from pathlib import Path - -import numpy as np -from geoh5py.objects import Curve -from geoh5py.workspace import Workspace - -from simpeg_drivers.potential_fields import MagneticVectorParams -from simpeg_drivers.potential_fields.magnetic_vector.driver import MagneticVectorDriver -from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace -from simpeg_drivers.utils.utils import get_inversion_output - -# To test the full run and validate the inversion. -# Move this file out of the test directory and run. - -target_mvi_run = { - "data_norm": 6.3559205278626525, - "phi_d": 0.007234, - "phi_m": 4.657e-06, -} - - -def test_magnetic_vector_fwr_run( - tmp_path: Path, - n_grid_points=2, - refinement=(2,), -): - inducing_field = (50000.0, 90.0, 0.0) - # Run the forward - geoh5, _, model, points, topography = setup_inversion_workspace( - tmp_path, - background=0.0, - anomaly=0.05, - refinement=refinement, - n_electrodes=n_grid_points, - n_lines=n_grid_points, - ) - - # Unitest dealing with Curve - survey = Curve.create(geoh5, name=points.name, vertices=points.vertices) - geoh5.remove_entity(points) - - params = MagneticVectorParams( - forward_only=True, - geoh5=geoh5, - mesh=model.parent.uid, - topography_object=topography.uid, - inducing_field_strength=inducing_field[0], - inducing_field_inclination=inducing_field[1], - inducing_field_declination=inducing_field[2], - z_from_topo=False, - data_object=survey.uid, - starting_model_object=model.parent.uid, - starting_model=model.uid, - starting_inclination=45, - starting_declination=270, - ) - fwr_driver = MagneticVectorDriver(params) - - fwr_driver.run() - - -def test_magnetic_vector_run( - tmp_path: Path, - max_iterations=1, - pytest=True, -): - workpath = tmp_path / "inversion_test.ui.geoh5" - if pytest: - workpath = ( - tmp_path.parent - / "test_magnetic_vector_fwr_run0" - / "inversion_test.ui.geoh5" - ) - - with Workspace(workpath) as geoh5: - tmi = geoh5.get_entity("Iteration_0_tmi")[0] - orig_tmi = tmi.values.copy() - mesh = geoh5.get_entity("mesh")[0] - topography = geoh5.get_entity("topography")[0] - inducing_field = (50000.0, 90.0, 0.0) - - # Run the inverse - params = MagneticVectorParams( - geoh5=geoh5, - mesh=mesh.uid, - topography_object=topography.uid, - inducing_field_strength=inducing_field[0], - inducing_field_inclination=inducing_field[1], - inducing_field_declination=inducing_field[2], - data_object=tmi.parent.uid, - starting_model=1e-4, - reference_model=0.0, - s_norm=0.0, - x_norm=1.0, - y_norm=1.0, - z_norm=1.0, - gradient_type="components", - tmi_channel_bool=True, - z_from_topo=False, - tmi_channel=tmi.uid, - tmi_uncertainty=4.0, - max_global_iterations=max_iterations, - initial_beta_ratio=1e1, - store_sensitivities="ram", - prctile=100, - ) - params.write_input_file(path=tmp_path, name="Inv_run") - driver = MagneticVectorDriver.start(str(tmp_path / "Inv_run.ui.json")) - - with Workspace(driver.params.geoh5.h5file) as run_ws: - # Re-open the workspace and get iterations - output = get_inversion_output( - driver.params.geoh5.h5file, driver.params.out_group.uid - ) - output["data"] = orig_tmi - if pytest: - check_target(output, target_mvi_run) - nan_ind = np.isnan( - run_ws.get_entity("Iteration_0_amplitude_model")[0].values - ) - inactive_ind = run_ws.get_entity("active_cells")[0].values == 0 - assert np.all(nan_ind == inactive_ind) - - -if __name__ == "__main__": - # Full run - test_magnetic_vector_fwr_run(Path("./"), n_grid_points=20, refinement=(4, 8)) - test_magnetic_vector_run(Path("./"), max_iterations=30, pytest=False) diff --git a/tests/run_tests/driver_tipper_test.py b/tests/run_tests/driver_tipper_test.py deleted file mode 100644 index 166b72a0..00000000 --- a/tests/run_tests/driver_tipper_test.py +++ /dev/null @@ -1,171 +0,0 @@ -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' -# Copyright (c) 2023-2024 Mira Geoscience Ltd. -# All rights reserved. -# -# This file is part of simpeg-drivers. -# -# The software and information contained herein are proprietary to, and -# comprise valuable trade secrets of, Mira Geoscience, which -# intend to preserve as trade secrets such software and information. -# This software is furnished pursuant to a written license agreement and -# may be used, copied, transmitted, and stored only in accordance with -# the terms of such license and with the inclusion of the above copyright -# notice. This software and information or any other copies thereof may -# not be provided or otherwise made available to any other person. -# -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' - -from __future__ import annotations - -from pathlib import Path - -import numpy as np -from geoh5py.workspace import Workspace - -from simpeg_drivers.natural_sources import TipperParams -from simpeg_drivers.natural_sources.tipper.driver import TipperDriver -from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace -from simpeg_drivers.utils.utils import get_inversion_output - -# To test the full run and validate the inversion. -# Move this file out of the test directory and run. - -target_run = {"data_norm": 0.0020959218368283884, "phi_d": 0.1504, "phi_m": 7209} - - -def test_tipper_fwr_run( - tmp_path: Path, - n_grid_points=2, - refinement=(2,), -): - # Run the forward - geoh5, _, model, survey, topography = setup_inversion_workspace( - tmp_path, - background=1e-3, - anomaly=1.0, - n_electrodes=n_grid_points, - n_lines=n_grid_points, - refinement=refinement, - inversion_type="tipper", - drape_height=15.0, - flatten=False, - ) - params = TipperParams( - forward_only=True, - geoh5=geoh5, - mesh=model.parent.uid, - topography_object=topography.uid, - resolution=0.0, - z_from_topo=False, - data_object=survey.uid, - starting_model=model.uid, - conductivity_model=1e-3, - txz_real_channel_bool=True, - txz_imag_channel_bool=True, - tyz_real_channel_bool=True, - tyz_imag_channel_bool=True, - ) - params.workpath = tmp_path - fwr_driver = TipperDriver(params) - fwr_driver.run() - - -def test_tipper_run(tmp_path: Path, max_iterations=1, pytest=True): - workpath = tmp_path / "inversion_test.ui.geoh5" - if pytest: - workpath = tmp_path.parent / "test_tipper_fwr_run0" / "inversion_test.ui.geoh5" - - with Workspace(workpath) as geoh5: - survey = geoh5.get_entity("survey")[0] - mesh = geoh5.get_entity("mesh")[0] - topography = geoh5.get_entity("topography")[0] - - data = {} - uncertainties = {} - components = { - "txz_real": "Txz (real)", - "txz_imag": "Txz (imag)", - "tyz_real": "Tyz (real)", - "tyz_imag": "Tyz (imag)", - } - - for comp, cname in components.items(): - data[cname] = [] - uncertainties[f"{cname} uncertainties"] = [] - for ind in range(len(survey.channels)): - data_entity = geoh5.get_entity(f"Iteration_0_{comp}_[{ind}]")[0].copy( - parent=survey - ) - data[cname].append(data_entity) - - uncert = survey.add_data( - { - f"uncertainty_{comp}_[{ind}]": { - "values": np.ones_like(data_entity.values) - * np.percentile(np.abs(data_entity.values), 5) - } - } - ) - uncertainties[f"{cname} uncertainties"].append(uncert) - - data_groups = survey.add_components_data(data) - uncert_groups = survey.add_components_data(uncertainties) - - data_kwargs = {} - for comp, data_group, uncert_group in zip( - components, data_groups, uncert_groups - ): - data_kwargs[f"{comp}_channel"] = data_group.uid - data_kwargs[f"{comp}_uncertainty"] = uncert_group.uid - - orig_tyz_real_1 = geoh5.get_entity("Iteration_0_tyz_real_[0]")[0].values - - # Run the inverse - params = TipperParams( - geoh5=geoh5, - mesh=mesh.uid, - topography_object=topography.uid, - resolution=0.0, - data_object=survey.uid, - starting_model=0.001, - reference_model=0.001, - conductivity_model=1e-3, - s_norm=1.0, - x_norm=1.0, - y_norm=1.0, - z_norm=1.0, - alpha_s=1.0, - gradient_type="components", - z_from_topo=False, - upper_bound=0.75, - max_global_iterations=max_iterations, - initial_beta_ratio=1e2, - coolingRate=2, - prctile=100, - chi_factor=0.1, - store_sensitivities="ram", - **data_kwargs, - ) - params.write_input_file(path=tmp_path, name="Inv_run") - driver = TipperDriver.start(str(tmp_path / "Inv_run.ui.json")) - - with geoh5.open() as run_ws: - output = get_inversion_output( - driver.params.geoh5.h5file, driver.params.out_group.uid - ) - output["data"] = orig_tyz_real_1 - if pytest: - check_target(output, target_run, tolerance=0.5) - nan_ind = np.isnan(run_ws.get_entity("Iteration_0_model")[0].values) - inactive_ind = run_ws.get_entity("active_cells")[0].values == 0 - assert np.all(nan_ind == inactive_ind) - - -if __name__ == "__main__": - # Full run - test_tipper_fwr_run(Path("./"), n_grid_points=8, refinement=(4, 4)) - test_tipper_run( - Path("./"), - max_iterations=15, - pytest=False, - ) From cf6523c24e89ab8995beba1c4d920bf3cd4772ca Mon Sep 17 00:00:00 2001 From: dominiquef Date: Thu, 13 Jun 2024 17:00:05 -0700 Subject: [PATCH 031/350] Bring back mag test --- tests/run_tests/driver_mag_test.py | 140 +++++++++++++++++++++++++++ tests/run_tests/driver_mvi_test.py | 147 +++++++++++++++++++++++++++++ 2 files changed, 287 insertions(+) create mode 100644 tests/run_tests/driver_mag_test.py create mode 100644 tests/run_tests/driver_mvi_test.py diff --git a/tests/run_tests/driver_mag_test.py b/tests/run_tests/driver_mag_test.py new file mode 100644 index 00000000..3b341d69 --- /dev/null +++ b/tests/run_tests/driver_mag_test.py @@ -0,0 +1,140 @@ +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' +# Copyright (c) 2023-2024 Mira Geoscience Ltd. +# All rights reserved. +# +# This file is part of simpeg-drivers. +# +# The software and information contained herein are proprietary to, and +# comprise valuable trade secrets of, Mira Geoscience, which +# intend to preserve as trade secrets such software and information. +# This software is furnished pursuant to a written license agreement and +# may be used, copied, transmitted, and stored only in accordance with +# the terms of such license and with the inclusion of the above copyright +# notice. This software and information or any other copies thereof may +# not be provided or otherwise made available to any other person. +# +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' + +from __future__ import annotations + +from pathlib import Path + +import numpy as np +from geoh5py.workspace import Workspace + +from simpeg_drivers.potential_fields import MagneticScalarParams +from simpeg_drivers.potential_fields.magnetic_scalar.driver import MagneticScalarDriver +from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace +from simpeg_drivers.utils.utils import get_inversion_output + +# To test the full run and validate the inversion. +# Move this file out of the test directory and run. + +target_run = {"data_norm": 8.71227951689941, "phi_d": 18.76, "phi_m": 5.717e-06} + + +def test_susceptibility_fwr_run( + tmp_path: Path, + n_grid_points=2, + refinement=(2,), +): + inducing_field = (49999.8, 90.0, 0.0) + # Run the forward + geoh5, _, model, survey, topography = setup_inversion_workspace( + tmp_path, + background=0.0, + anomaly=0.05, + refinement=refinement, + n_electrodes=n_grid_points, + n_lines=n_grid_points, + flatten=False, + ) + params = MagneticScalarParams( + forward_only=True, + geoh5=geoh5, + mesh=model.parent.uid, + topography_object=topography.uid, + inducing_field_strength=inducing_field[0], + inducing_field_inclination=inducing_field[1], + inducing_field_declination=inducing_field[2], + z_from_topo=False, + data_object=survey.uid, + starting_model=model.uid, + ) + params.workpath = tmp_path + fwr_driver = MagneticScalarDriver(params) + fwr_driver.run() + + assert fwr_driver.inversion_data.survey.source_field.amplitude == inducing_field[0] + + assert params.out_group is not None + assert params.out_group.options + + +def test_susceptibility_run( + tmp_path: Path, + max_iterations=1, + pytest=True, +): + workpath = tmp_path / "inversion_test.ui.geoh5" + if pytest: + workpath = ( + tmp_path.parent / "test_susceptibility_fwr_run0" / "inversion_test.ui.geoh5" + ) + + with Workspace(workpath) as geoh5: + tmi = geoh5.get_entity("Iteration_0_tmi")[0] + orig_tmi = tmi.values.copy() + mesh = geoh5.get_entity("mesh")[0] + topography = geoh5.get_entity("topography")[0] + inducing_field = (50000.0, 90.0, 0.0) + + # Run the inverse + params = MagneticScalarParams( + geoh5=geoh5, + mesh=mesh.uid, + topography_object=topography.uid, + inducing_field_strength=inducing_field[0], + inducing_field_inclination=inducing_field[1], + inducing_field_declination=inducing_field[2], + data_object=tmi.parent.uid, + starting_model=1e-4, + reference_model=0.0, + s_norm=0.0, + x_norm=1.0, + y_norm=1.0, + z_norm=1.0, + gradient_type="components", + lower_bound=0.0, + tmi_channel_bool=True, + z_from_topo=False, + tmi_channel=tmi.uid, + tmi_uncertainty=1.0, + max_global_iterations=max_iterations, + store_sensitivities="ram", + ) + params.write_input_file(path=tmp_path, name="Inv_run") + + driver = MagneticScalarDriver.start(str(tmp_path / "Inv_run.ui.json")) + + with Workspace(driver.params.geoh5.h5file) as run_ws: + output = get_inversion_output( + driver.params.geoh5.h5file, driver.params.out_group.uid + ) + output["data"] = orig_tmi + assert ( + run_ws.get_entity("Iteration_1_tmi")[0].entity_type.uid + == run_ws.get_entity("Observed_tmi")[0].entity_type.uid + ) + + if pytest: + check_target(output, target_run) + nan_ind = np.isnan(run_ws.get_entity("Iteration_0_model")[0].values) + inactive_ind = run_ws.get_entity("active_cells")[0].values == 0 + assert np.all(nan_ind == inactive_ind) + + +if __name__ == "__main__": + # Full run + test_susceptibility_fwr_run(Path("./"), n_grid_points=20, refinement=(4, 8)) + test_susceptibility_run(Path("./"), max_iterations=30, pytest=False) diff --git a/tests/run_tests/driver_mvi_test.py b/tests/run_tests/driver_mvi_test.py new file mode 100644 index 00000000..339d8828 --- /dev/null +++ b/tests/run_tests/driver_mvi_test.py @@ -0,0 +1,147 @@ +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' +# Copyright (c) 2023-2024 Mira Geoscience Ltd. +# All rights reserved. +# +# This file is part of simpeg-drivers. +# +# The software and information contained herein are proprietary to, and +# comprise valuable trade secrets of, Mira Geoscience, which +# intend to preserve as trade secrets such software and information. +# This software is furnished pursuant to a written license agreement and +# may be used, copied, transmitted, and stored only in accordance with +# the terms of such license and with the inclusion of the above copyright +# notice. This software and information or any other copies thereof may +# not be provided or otherwise made available to any other person. +# +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' + +from __future__ import annotations + +from pathlib import Path + +import numpy as np +from geoh5py.objects import Curve +from geoh5py.workspace import Workspace + +from simpeg_drivers.potential_fields import MagneticVectorParams +from simpeg_drivers.potential_fields.magnetic_vector.driver import MagneticVectorDriver +from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace +from simpeg_drivers.utils.utils import get_inversion_output + +# To test the full run and validate the inversion. +# Move this file out of the test directory and run. + +target_mvi_run = { + "data_norm": 6.3559205278626525, + "phi_d": 0.007234, + "phi_m": 4.657e-06, +} + + +def test_magnetic_vector_fwr_run( + tmp_path: Path, + n_grid_points=2, + refinement=(2,), +): + inducing_field = (50000.0, 90.0, 0.0) + # Run the forward + geoh5, _, model, points, topography = setup_inversion_workspace( + tmp_path, + background=0.0, + anomaly=0.05, + refinement=refinement, + n_electrodes=n_grid_points, + n_lines=n_grid_points, + ) + + # Unitest dealing with Curve + survey = Curve.create(geoh5, name=points.name, vertices=points.vertices) + geoh5.remove_entity(points) + + params = MagneticVectorParams( + forward_only=True, + geoh5=geoh5, + mesh=model.parent.uid, + topography_object=topography.uid, + inducing_field_strength=inducing_field[0], + inducing_field_inclination=inducing_field[1], + inducing_field_declination=inducing_field[2], + z_from_topo=False, + data_object=survey.uid, + starting_model_object=model.parent.uid, + starting_model=model.uid, + starting_inclination=45, + starting_declination=270, + ) + fwr_driver = MagneticVectorDriver(params) + + fwr_driver.run() + + +def test_magnetic_vector_run( + tmp_path: Path, + max_iterations=1, + pytest=True, +): + workpath = tmp_path / "inversion_test.ui.geoh5" + if pytest: + workpath = ( + tmp_path.parent + / "test_magnetic_vector_fwr_run0" + / "inversion_test.ui.geoh5" + ) + + with Workspace(workpath) as geoh5: + tmi = geoh5.get_entity("Iteration_0_tmi")[0] + orig_tmi = tmi.values.copy() + mesh = geoh5.get_entity("mesh")[0] + topography = geoh5.get_entity("topography")[0] + inducing_field = (50000.0, 90.0, 0.0) + + # Run the inverse + params = MagneticVectorParams( + geoh5=geoh5, + mesh=mesh.uid, + topography_object=topography.uid, + inducing_field_strength=inducing_field[0], + inducing_field_inclination=inducing_field[1], + inducing_field_declination=inducing_field[2], + data_object=tmi.parent.uid, + starting_model=1e-4, + reference_model=0.0, + s_norm=0.0, + x_norm=1.0, + y_norm=1.0, + z_norm=1.0, + gradient_type="components", + tmi_channel_bool=True, + z_from_topo=False, + tmi_channel=tmi.uid, + tmi_uncertainty=4.0, + max_global_iterations=max_iterations, + initial_beta_ratio=1e1, + store_sensitivities="ram", + prctile=100, + ) + params.write_input_file(path=tmp_path, name="Inv_run") + driver = MagneticVectorDriver.start(str(tmp_path / "Inv_run.ui.json")) + + with Workspace(driver.params.geoh5.h5file) as run_ws: + # Re-open the workspace and get iterations + output = get_inversion_output( + driver.params.geoh5.h5file, driver.params.out_group.uid + ) + output["data"] = orig_tmi + if pytest: + check_target(output, target_mvi_run) + nan_ind = np.isnan( + run_ws.get_entity("Iteration_0_amplitude_model")[0].values + ) + inactive_ind = run_ws.get_entity("active_cells")[0].values == 0 + assert np.all(nan_ind == inactive_ind) + + +if __name__ == "__main__": + # Full run + test_magnetic_vector_fwr_run(Path("./"), n_grid_points=20, refinement=(4, 8)) + test_magnetic_vector_run(Path("./"), max_iterations=30, pytest=False) From 86c2f57db54e96f119d63e229bf92397acd8ccc6 Mon Sep 17 00:00:00 2001 From: dominiquef Date: Thu, 13 Jun 2024 17:24:32 -0700 Subject: [PATCH 032/350] Bring back dc/ip tests --- tests/run_tests/driver_dc_2d_test.py | 149 ++++++++++++++++++++ tests/run_tests/driver_dc_p3d_test.py | 166 ++++++++++++++++++++++ tests/run_tests/driver_dc_test.py | 190 ++++++++++++++++++++++++++ tests/run_tests/driver_ip_2d_test.py | 141 +++++++++++++++++++ tests/run_tests/driver_ip_p3d_test.py | 168 +++++++++++++++++++++++ tests/run_tests/driver_ip_test.py | 139 +++++++++++++++++++ 6 files changed, 953 insertions(+) create mode 100644 tests/run_tests/driver_dc_2d_test.py create mode 100644 tests/run_tests/driver_dc_p3d_test.py create mode 100644 tests/run_tests/driver_dc_test.py create mode 100644 tests/run_tests/driver_ip_2d_test.py create mode 100644 tests/run_tests/driver_ip_p3d_test.py create mode 100644 tests/run_tests/driver_ip_test.py diff --git a/tests/run_tests/driver_dc_2d_test.py b/tests/run_tests/driver_dc_2d_test.py new file mode 100644 index 00000000..6fdbb130 --- /dev/null +++ b/tests/run_tests/driver_dc_2d_test.py @@ -0,0 +1,149 @@ +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' +# Copyright (c) 2023-2024 Mira Geoscience Ltd. +# All rights reserved. +# +# This file is part of simpeg-drivers. +# +# The software and information contained herein are proprietary to, and +# comprise valuable trade secrets of, Mira Geoscience, which +# intend to preserve as trade secrets such software and information. +# This software is furnished pursuant to a written license agreement and +# may be used, copied, transmitted, and stored only in accordance with +# the terms of such license and with the inclusion of the above copyright +# notice. This software and information or any other copies thereof may +# not be provided or otherwise made available to any other person. +# +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' + + +from __future__ import annotations + +from pathlib import Path + +import numpy as np +from geoh5py.workspace import Workspace + +from simpeg_drivers.electricals.direct_current.two_dimensions.driver import ( + DirectCurrent2DDriver, +) +from simpeg_drivers.electricals.direct_current.two_dimensions.params import ( + DirectCurrent2DParams, +) +from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace +from simpeg_drivers.utils.utils import get_inversion_output + +# To test the full run and validate the inversion. +# Move this file out of the test directory and run. + +target_run = { + "data_norm": 0.59563, + "phi_d": 1407, + "phi_m": 15.88, +} + + +def test_dc_2d_fwr_run( + tmp_path: Path, + n_electrodes=10, + n_lines=3, + refinement=(4, 6), +): + # Run the forward + geoh5, _, model, survey, topography = setup_inversion_workspace( + tmp_path, + background=0.01, + anomaly=10, + n_electrodes=n_electrodes, + n_lines=n_lines, + refinement=refinement, + inversion_type="dcip_2d", + drape_height=0.0, + flatten=False, + ) + params = DirectCurrent2DParams( + forward_only=True, + geoh5=geoh5, + u_cell_size=5.0, + v_cell_size=5.0, + depth_core=100.0, + horizontal_padding=100.0, + vertical_padding=100.0, + expansion_factor=1.1, + topography_object=topography.uid, + z_from_topo=False, + data_object=survey.uid, + starting_model=model.uid, + line_object=geoh5.get_entity("line_ids")[0].uid, + line_id=101, + ) + params.workpath = tmp_path + fwr_driver = DirectCurrent2DDriver(params) + fwr_driver.run() + + +def test_dc_2d_run(tmp_path: Path, max_iterations=1, pytest=True): + workpath = tmp_path / "inversion_test.ui.geoh5" + if pytest: + workpath = tmp_path.parent / "test_dc_2d_fwr_run0" / "inversion_test.ui.geoh5" + + with Workspace(workpath) as geoh5: + potential = geoh5.get_entity("Iteration_0_dc")[0] + topography = geoh5.get_entity("topography")[0] + + # Run the inverse + params = DirectCurrent2DParams( + geoh5=geoh5, + u_cell_size=5.0, + v_cell_size=5.0, + depth_core=100.0, + horizontal_padding=100.0, + vertical_padding=100.0, + expansion_factor=1.1, + topography_object=topography.uid, + data_object=potential.parent.uid, + potential_channel=potential.uid, + potential_uncertainty=1e-3, + line_object=geoh5.get_entity("line_ids")[0].uid, + line_id=101, + starting_model=1e-2, + reference_model=1e-2, + s_norm=0.0, + x_norm=1.0, + y_norm=1.0, + z_norm=1.0, + gradient_type="components", + potential_channel_bool=True, + z_from_topo=True, + max_global_iterations=max_iterations, + initial_beta=None, + initial_beta_ratio=1e0, + prctile=100, + upper_bound=10, + coolingRate=1, + ) + params.write_input_file(path=tmp_path, name="Inv_run") + + driver = DirectCurrent2DDriver.start(str(tmp_path / "Inv_run.ui.json")) + + output = get_inversion_output( + driver.params.geoh5.h5file, driver.params.out_group.uid + ) + if geoh5.open(): + output["data"] = potential.values[np.isfinite(potential.values)] + if pytest: + check_target(output, target_run) + + +if __name__ == "__main__": + # Full run + test_dc_2d_fwr_run( + Path("./"), + n_electrodes=20, + n_lines=3, + refinement=(4, 8), + ) + test_dc_2d_run( + Path("./"), + max_iterations=20, + pytest=False, + ) diff --git a/tests/run_tests/driver_dc_p3d_test.py b/tests/run_tests/driver_dc_p3d_test.py new file mode 100644 index 00000000..1b919513 --- /dev/null +++ b/tests/run_tests/driver_dc_p3d_test.py @@ -0,0 +1,166 @@ +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' +# Copyright (c) 2023-2024 Mira Geoscience Ltd. +# All rights reserved. +# +# This file is part of simpeg-drivers. +# +# The software and information contained herein are proprietary to, and +# comprise valuable trade secrets of, Mira Geoscience, which +# intend to preserve as trade secrets such software and information. +# This software is furnished pursuant to a written license agreement and +# may be used, copied, transmitted, and stored only in accordance with +# the terms of such license and with the inclusion of the above copyright +# notice. This software and information or any other copies thereof may +# not be provided or otherwise made available to any other person. +# +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' + + +from __future__ import annotations + +import json +from pathlib import Path + +from geoh5py.groups import SimPEGGroup +from geoh5py.workspace import Workspace + +from simpeg_drivers.electricals.direct_current.pseudo_three_dimensions.driver import ( + DirectCurrentPseudo3DDriver, +) +from simpeg_drivers.electricals.direct_current.pseudo_three_dimensions.params import ( + DirectCurrentPseudo3DParams, +) +from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace +from simpeg_drivers.utils.utils import get_inversion_output + +# To test the full run and validate the inversion. +# Move this file out of the test directory and run. + +target_run = {"data_norm": 1.099, "phi_d": 4328, "phi_m": 1.217} + + +def test_dc_p3d_fwr_run( + tmp_path: Path, + n_electrodes=10, + n_lines=3, + refinement=(4, 6), +): + # Run the forward + geoh5, _, model, survey, topography = setup_inversion_workspace( + tmp_path, + background=0.01, + anomaly=10, + n_electrodes=n_electrodes, + n_lines=n_lines, + refinement=refinement, + inversion_type="dcip", + drape_height=0.0, + flatten=False, + ) + params = DirectCurrentPseudo3DParams( + forward_only=True, + geoh5=geoh5, + mesh=model.parent.uid, + u_cell_size=5.0, + v_cell_size=5.0, + depth_core=100.0, + expansion_factor=1.1, + padding_distance=100.0, + topography_object=topography.uid, + z_from_topo=False, + data_object=survey.uid, + starting_model=model.uid, + line_object=geoh5.get_entity("line_ids")[0].uid, + cleanup=True, + ) + params.workpath = tmp_path + fwr_driver = DirectCurrentPseudo3DDriver(params) + fwr_driver.run() + + +def test_dc_p3d_run( + tmp_path: Path, + max_iterations=1, + pytest=True, +): + workpath = tmp_path / "inversion_test.ui.geoh5" + if pytest: + workpath = tmp_path.parent / "test_dc_p3d_fwr_run0" / "inversion_test.ui.geoh5" + + with Workspace(workpath) as geoh5: + potential = geoh5.get_entity("Iteration_0_dc")[0] + out_group = geoh5.get_entity("Line 1")[0].parent + mesh = out_group.get_entity("mesh")[0] # Finds the octree mesh + topography = geoh5.get_entity("topography")[0] + + # Run the inverse + params = DirectCurrentPseudo3DParams( + geoh5=geoh5, + mesh=mesh.uid, + u_cell_size=5.0, + v_cell_size=5.0, + depth_core=100.0, + expansion_factor=1.1, + padding_distance=100.0, + topography_object=topography.uid, + data_object=potential.parent.uid, + potential_channel=potential.uid, + potential_uncertainty=1e-3, + line_object=geoh5.get_entity("line_ids")[0].uid, + starting_model=1e-2, + reference_model=1e-2, + s_norm=0.0, + x_norm=1.0, + y_norm=1.0, + z_norm=1.0, + gradient_type="components", + potential_channel_bool=True, + z_from_topo=False, + max_global_iterations=max_iterations, + initial_beta=None, + initial_beta_ratio=10.0, + prctile=100, + upper_bound=10, + coolingRate=1, + cleanup=False, + ) + params.write_input_file(path=tmp_path, name="Inv_run") + + driver = DirectCurrentPseudo3DDriver.start(str(tmp_path / "Inv_run.ui.json")) + + basepath = workpath.parent + with open(basepath / "lookup.json", encoding="utf8") as f: + lookup = json.load(f) + middle_line_id = [k for k, v in lookup.items() if v["line_id"] == 101][0] + + with Workspace(basepath / f"{middle_line_id}.ui.geoh5", mode="r") as workspace: + middle_inversion_group = [ + k for k in workspace.groups if isinstance(k, SimPEGGroup) + ][0] + filedata = middle_inversion_group.get_entity("SimPEG.out")[0] + + with driver.pseudo3d_params.out_group.workspace.open(mode="r+"): + filedata.copy(parent=driver.pseudo3d_params.out_group) + + output = get_inversion_output( + driver.pseudo3d_params.geoh5.h5file, driver.pseudo3d_params.out_group.uid + ) + if geoh5.open(): + output["data"] = potential.values + if pytest: + check_target(output, target_run) + + +if __name__ == "__main__": + # Full run + test_dc_p3d_fwr_run( + Path("./"), + n_electrodes=20, + n_lines=3, + refinement=(4, 8), + ) + test_dc_p3d_run( + Path("./"), + max_iterations=20, + pytest=False, + ) diff --git a/tests/run_tests/driver_dc_test.py b/tests/run_tests/driver_dc_test.py new file mode 100644 index 00000000..d1ddb42c --- /dev/null +++ b/tests/run_tests/driver_dc_test.py @@ -0,0 +1,190 @@ +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' +# Copyright (c) 2023-2024 Mira Geoscience Ltd. +# All rights reserved. +# +# This file is part of simpeg-drivers. +# +# The software and information contained herein are proprietary to, and +# comprise valuable trade secrets of, Mira Geoscience, which +# intend to preserve as trade secrets such software and information. +# This software is furnished pursuant to a written license agreement and +# may be used, copied, transmitted, and stored only in accordance with +# the terms of such license and with the inclusion of the above copyright +# notice. This software and information or any other copies thereof may +# not be provided or otherwise made available to any other person. +# +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' + +from __future__ import annotations + +from pathlib import Path + +import numpy as np +from geoh5py.workspace import Workspace + +from simpeg_drivers.electricals.direct_current.three_dimensions import ( + DirectCurrent3DParams, +) +from simpeg_drivers.electricals.direct_current.three_dimensions.driver import ( + DirectCurrent3DDriver, +) +from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace +from simpeg_drivers.utils.utils import get_inversion_output + +# To test the full run and validate the inversion. +# Move this file out of the test directory and run. + +target_run = {"data_norm": 0.15258, "phi_d": 32.28, "phi_m": 242.3} + + +def test_dc_3d_fwr_run( + tmp_path: Path, + n_electrodes=4, + n_lines=3, + refinement=(4, 6), +): + # Run the forward + geoh5, _, model, survey, topography = setup_inversion_workspace( + tmp_path, + background=0.01, + anomaly=10, + n_electrodes=n_electrodes, + n_lines=n_lines, + refinement=refinement, + drape_height=0.0, + inversion_type="dcip", + flatten=False, + ) + + # Randomly flip order of receivers + old = np.random.randint(0, survey.cells.shape[0], n_electrodes) + indices = np.ones(survey.cells.shape[0], dtype=bool) + indices[old] = False + + tx_id = np.r_[survey.ab_cell_id.values[indices], survey.ab_cell_id.values[~indices]] + cells = np.vstack([survey.cells[indices, :], survey.cells[~indices, :]]) + + survey.ab_cell_id = tx_id + survey.cells = cells + + geoh5.close() + + params = DirectCurrent3DParams( + forward_only=True, + geoh5=geoh5, + mesh=model.parent.uid, + topography_object=topography.uid, + z_from_topo=False, + data_object=survey.uid, + starting_model=model.uid, + resolution=None, + ) + params.workpath = tmp_path + fwr_driver = DirectCurrent3DDriver(params) + fwr_driver.run() + + +def test_dc_3d_run( + tmp_path: Path, + max_iterations=1, + pytest=True, + n_lines=3, +): + workpath = tmp_path / "inversion_test.ui.geoh5" + if pytest: + workpath = tmp_path.parent / "test_dc_3d_fwr_run0" / "inversion_test.ui.geoh5" + + with Workspace(workpath) as geoh5: + potential = geoh5.get_entity("Iteration_0_dc")[0] + mesh = geoh5.get_entity("mesh")[0] + topography = geoh5.get_entity("topography")[0] + + # Run the inverse + params = DirectCurrent3DParams( + geoh5=geoh5, + mesh=mesh.uid, + topography_object=topography.uid, + data_object=potential.parent.uid, + starting_model=1e-2, + reference_model=1e-2, + s_norm=0.0, + x_norm=1.0, + y_norm=1.0, + z_norm=1.0, + gradient_type="components", + potential_channel_bool=True, + z_from_topo=False, + potential_channel=potential.uid, + potential_uncertainty=1e-3, + max_global_iterations=max_iterations, + initial_beta=None, + initial_beta_ratio=10.0, + prctile=100, + upper_bound=10, + tile_spatial=n_lines, + store_sensitivities="ram", + coolingRate=1, + chi_factor=0.5, + ) + params.write_input_file(path=tmp_path, name="Inv_run") + + driver = DirectCurrent3DDriver.start(str(tmp_path / "Inv_run.ui.json")) + + output = get_inversion_output( + driver.params.geoh5.h5file, driver.params.out_group.uid + ) + if geoh5.open(): + output["data"] = potential.values + if pytest: + check_target(output, target_run) + + +def test_dc_single_line_fwr_run( + tmp_path: Path, + n_electrodes=4, + n_lines=1, + refinement=(4, 6), +): + # Run the forward + geoh5, _, model, survey, topography = setup_inversion_workspace( + tmp_path, + background=0.01, + anomaly=10, + n_electrodes=n_electrodes, + n_lines=n_lines, + refinement=refinement, + drape_height=0.0, + inversion_type="dcip", + flatten=False, + ) + params = DirectCurrent3DParams( + forward_only=True, + geoh5=geoh5, + mesh=model.parent.uid, + topography_object=topography.uid, + z_from_topo=False, + data_object=survey.uid, + starting_model=model.uid, + resolution=None, + ) + params.workpath = tmp_path + fwr_driver = DirectCurrent3DDriver(params) + assert np.all(fwr_driver.window.window["size"] > 0) + + +if __name__ == "__main__": + # Full run + + test_dc_3d_fwr_run( + Path("./"), + n_electrodes=20, + n_lines=5, + refinement=(4, 8), + ) + + test_dc_3d_run( + Path("./"), + n_lines=5, + max_iterations=15, + pytest=False, + ) diff --git a/tests/run_tests/driver_ip_2d_test.py b/tests/run_tests/driver_ip_2d_test.py new file mode 100644 index 00000000..4acd2438 --- /dev/null +++ b/tests/run_tests/driver_ip_2d_test.py @@ -0,0 +1,141 @@ +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' +# Copyright (c) 2023-2024 Mira Geoscience Ltd. +# All rights reserved. +# +# This file is part of simpeg-drivers. +# +# The software and information contained herein are proprietary to, and +# comprise valuable trade secrets of, Mira Geoscience, which +# intend to preserve as trade secrets such software and information. +# This software is furnished pursuant to a written license agreement and +# may be used, copied, transmitted, and stored only in accordance with +# the terms of such license and with the inclusion of the above copyright +# notice. This software and information or any other copies thereof may +# not be provided or otherwise made available to any other person. +# +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' + +from __future__ import annotations + +from pathlib import Path + +import numpy as np +from geoh5py.workspace import Workspace + +from simpeg_drivers.electricals.induced_polarization.two_dimensions import ( + InducedPolarization2DParams, +) +from simpeg_drivers.electricals.induced_polarization.two_dimensions.driver import ( + InducedPolarization2DDriver, +) +from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace +from simpeg_drivers.utils.utils import get_inversion_output + +# To test the full run and validate the inversion. +# Move this file out of the test directory and run. + +target_run = {"data_norm": 0.09141, "phi_d": 9643, "phi_m": 0.1699} + + +def test_ip_2d_fwr_run( + tmp_path: Path, + n_electrodes=10, + n_lines=3, + refinement=(4, 6), +): + # Run the forward + geoh5, _, model, survey, topography = setup_inversion_workspace( + tmp_path, + background=1e-6, + anomaly=1e-1, + n_electrodes=n_electrodes, + n_lines=n_lines, + refinement=refinement, + inversion_type="dcip_2d", + flatten=False, + drape_height=0.0, + ) + params = InducedPolarization2DParams( + forward_only=True, + geoh5=geoh5, + mesh=model.parent.uid, + topography_object=topography.uid, + z_from_topo=True, + data_object=survey.uid, + starting_model=model.uid, + conductivity_model=1e-2, + line_object=geoh5.get_entity("line_ids")[0].uid, + line_id=101, + ) + params.workpath = tmp_path + fwr_driver = InducedPolarization2DDriver(params) + fwr_driver.run() + + +def test_ip_2d_run( + tmp_path: Path, + max_iterations=1, + pytest=True, +): + workpath = tmp_path / "inversion_test.ui.geoh5" + if pytest: + workpath = tmp_path.parent / "test_ip_2d_fwr_run0" / "inversion_test.ui.geoh5" + + with Workspace(workpath) as geoh5: + chargeability = geoh5.get_entity("Iteration_0_ip")[0] + mesh = geoh5.get_entity("Models")[0] + topography = geoh5.get_entity("topography")[0] + + # Run the inverse + params = InducedPolarization2DParams( + geoh5=geoh5, + mesh=mesh.uid, + topography_object=topography.uid, + data_object=chargeability.parent.uid, + chargeability_channel=chargeability.uid, + chargeability_uncertainty=2e-4, + line_object=geoh5.get_entity("line_ids")[0].uid, + line_id=101, + starting_model=1e-6, + reference_model=1e-6, + conductivity_model=1e-2, + s_norm=0.0, + x_norm=0.0, + z_norm=0.0, + gradient_type="components", + chargeability_channel_bool=True, + z_from_topo=True, + max_global_iterations=max_iterations, + initial_beta=None, + initial_beta_ratio=1e0, + prctile=100, + upper_bound=0.1, + store_sensitivities="ram", + coolingRate=1, + ) + params.write_input_file(path=tmp_path, name="Inv_run") + + driver = InducedPolarization2DDriver.start(str(tmp_path / "Inv_run.ui.json")) + + output = get_inversion_output( + driver.params.geoh5.h5file, driver.params.out_group.uid + ) + if geoh5.open(): + output["data"] = chargeability.values[np.isfinite(chargeability.values)] + if pytest: + check_target(output, target_run) + + +if __name__ == "__main__": + # Full run + test_ip_2d_fwr_run( + Path("./"), + n_electrodes=20, + n_lines=3, + refinement=(4, 8), + ) + test_ip_2d_run( + Path("./"), + max_iterations=20, + pytest=False, + ) diff --git a/tests/run_tests/driver_ip_p3d_test.py b/tests/run_tests/driver_ip_p3d_test.py new file mode 100644 index 00000000..4613e30b --- /dev/null +++ b/tests/run_tests/driver_ip_p3d_test.py @@ -0,0 +1,168 @@ +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' +# Copyright (c) 2023-2024 Mira Geoscience Ltd. +# All rights reserved. +# +# This file is part of simpeg-drivers. +# +# The software and information contained herein are proprietary to, and +# comprise valuable trade secrets of, Mira Geoscience, which +# intend to preserve as trade secrets such software and information. +# This software is furnished pursuant to a written license agreement and +# may be used, copied, transmitted, and stored only in accordance with +# the terms of such license and with the inclusion of the above copyright +# notice. This software and information or any other copies thereof may +# not be provided or otherwise made available to any other person. +# +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' + +from __future__ import annotations + +import json +from pathlib import Path + +from geoh5py.groups import SimPEGGroup +from geoh5py.workspace import Workspace + +from simpeg_drivers.electricals.induced_polarization.pseudo_three_dimensions.driver import ( + InducedPolarizationPseudo3DDriver, +) +from simpeg_drivers.electricals.induced_polarization.pseudo_three_dimensions.params import ( + InducedPolarizationPseudo3DParams, +) +from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace +from simpeg_drivers.utils.utils import get_inversion_output + +# To test the full run and validate the inversion. +# Move this file out of the test directory and run. + +target_run = {"data_norm": 0.08768, "phi_d": 9644, "phi_m": 0.216} + + +def test_ip_p3d_fwr_run( + tmp_path: Path, + n_electrodes=10, + n_lines=3, + refinement=(4, 6), +): + # Run the forward + geoh5, _, model, survey, topography = setup_inversion_workspace( + tmp_path, + background=1e-6, + anomaly=1e-1, + n_electrodes=n_electrodes, + n_lines=n_lines, + refinement=refinement, + inversion_type="dcip", + drape_height=0.0, + flatten=False, + ) + + params = InducedPolarizationPseudo3DParams( + forward_only=True, + geoh5=geoh5, + mesh=model.parent.uid, + u_cell_size=5.0, + v_cell_size=5.0, + depth_core=100.0, + expansion_factor=1.1, + padding_distance=100.0, + topography_object=topography.uid, + z_from_topo=True, + data_object=survey.uid, + conductivity_model=1e-2, + starting_model=model.uid, + line_object=geoh5.get_entity("line_ids")[0].uid, + cleanup=True, + ) + params.workpath = tmp_path + fwr_driver = InducedPolarizationPseudo3DDriver(params) + fwr_driver.run() + + +def test_ip_p3d_run( + tmp_path, + max_iterations=1, + pytest=True, +): + workpath = tmp_path / "inversion_test.ui.geoh5" + if pytest: + workpath = tmp_path.parent / "test_ip_p3d_fwr_run0" / "inversion_test.ui.geoh5" + + with Workspace(workpath) as geoh5: + chargeability = geoh5.get_entity("Iteration_0_ip")[0] + out_group = geoh5.get_entity("Line 1")[0].parent + mesh = out_group.get_entity("mesh")[0] # Finds the octree mesh + topography = geoh5.get_entity("topography")[0] + + # Run the inverse + params = InducedPolarizationPseudo3DParams( + geoh5=geoh5, + mesh=mesh.uid, + u_cell_size=5.0, + v_cell_size=5.0, + depth_core=100.0, + expansion_factor=1.1, + padding_distance=100.0, + topography_object=topography.uid, + data_object=chargeability.parent.uid, + chargeability_channel=chargeability.uid, + chargeability_uncertainty=2e-4, + line_object=geoh5.get_entity("line_ids")[0].uid, + conductivity_model=1e-2, + starting_model=1e-6, + reference_model=1e-6, + s_norm=0.0, + x_norm=0.0, + y_norm=0.0, + z_norm=0.0, + gradient_type="components", + chargeability_channel_bool=True, + z_from_topo=True, + max_global_iterations=max_iterations, + initial_beta=None, + initial_beta_ratio=1e0, + prctile=100, + upper_bound=0.1, + coolingRate=1, + cleanup=False, + ) + params.write_input_file(path=tmp_path, name="Inv_run") + + driver = InducedPolarizationPseudo3DDriver.start(str(tmp_path / "Inv_run.ui.json")) + + basepath = workpath.parent + with open(basepath / "lookup.json", encoding="utf8") as f: + lookup = json.load(f) + middle_line_id = [k for k, v in lookup.items() if v["line_id"] == 101][0] + + with Workspace(basepath / f"{middle_line_id}.ui.geoh5", mode="r") as workspace: + middle_inversion_group = [ + k for k in workspace.groups if isinstance(k, SimPEGGroup) + ][0] + filedata = middle_inversion_group.get_entity("SimPEG.out")[0] + + with driver.pseudo3d_params.out_group.workspace.open(mode="r+"): + filedata.copy(parent=driver.pseudo3d_params.out_group) + + output = get_inversion_output( + driver.pseudo3d_params.geoh5.h5file, driver.pseudo3d_params.out_group.uid + ) + if geoh5.open(): + output["data"] = chargeability.values + if pytest: + check_target(output, target_run) + + +if __name__ == "__main__": + # Full run + test_ip_p3d_fwr_run( + Path("./"), + n_electrodes=20, + n_lines=3, + refinement=(4, 8), + ) + test_ip_p3d_run( + Path("./"), + max_iterations=20, + pytest=False, + ) diff --git a/tests/run_tests/driver_ip_test.py b/tests/run_tests/driver_ip_test.py new file mode 100644 index 00000000..1e709ff8 --- /dev/null +++ b/tests/run_tests/driver_ip_test.py @@ -0,0 +1,139 @@ +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' +# Copyright (c) 2023-2024 Mira Geoscience Ltd. +# All rights reserved. +# +# This file is part of simpeg-drivers. +# +# The software and information contained herein are proprietary to, and +# comprise valuable trade secrets of, Mira Geoscience, which +# intend to preserve as trade secrets such software and information. +# This software is furnished pursuant to a written license agreement and +# may be used, copied, transmitted, and stored only in accordance with +# the terms of such license and with the inclusion of the above copyright +# notice. This software and information or any other copies thereof may +# not be provided or otherwise made available to any other person. +# +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' + +from __future__ import annotations + +from pathlib import Path + +from geoh5py.workspace import Workspace + +from simpeg_drivers.electricals.induced_polarization.three_dimensions import ( + InducedPolarization3DParams, +) +from simpeg_drivers.electricals.induced_polarization.three_dimensions.driver import ( + InducedPolarization3DDriver, +) +from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace +from simpeg_drivers.utils.utils import get_inversion_output + +# To test the full run and validate the inversion. +# Move this file out of the test directory and run. + +target_run = {"data_norm": 0.008494, "phi_d": 1.675, "phi_m": 0.6426} + + +def test_ip_3d_fwr_run( + tmp_path: Path, + n_electrodes=4, + n_lines=3, + refinement=(4, 6), +): + # Run the forward + geoh5, _, model, survey, topography = setup_inversion_workspace( + tmp_path, + background=1e-6, + anomaly=1e-1, + n_electrodes=n_electrodes, + n_lines=n_lines, + refinement=refinement, + drape_height=0.0, + inversion_type="dcip", + flatten=False, + ) + params = InducedPolarization3DParams( + forward_only=True, + geoh5=geoh5, + mesh=model.parent.uid, + topography_object=topography.uid, + z_from_topo=True, + data_object=survey.uid, + starting_model=model.uid, + conductivity_model=1e-2, + ) + params.workpath = tmp_path + fwr_driver = InducedPolarization3DDriver(params) + fwr_driver.run() + + +def test_ip_3d_run( + tmp_path: Path, + max_iterations=1, + pytest=True, + n_lines=3, +): + workpath = tmp_path / "inversion_test.ui.geoh5" + if pytest: + workpath = tmp_path.parent / "test_ip_3d_fwr_run0" / "inversion_test.ui.geoh5" + + with Workspace(workpath) as geoh5: + potential = geoh5.get_entity("Iteration_0_ip")[0] + mesh = geoh5.get_entity("mesh")[0] + topography = geoh5.get_entity("topography")[0] + + # Run the inverse + params = InducedPolarization3DParams( + geoh5=geoh5, + mesh=mesh.uid, + topography_object=topography.uid, + data_object=potential.parent.uid, + conductivity_model=1e-2, + reference_model=1e-6, + starting_model=1e-6, + s_norm=0.0, + x_norm=0.0, + y_norm=0.0, + z_norm=0.0, + gradient_type="components", + chargeability_channel_bool=True, + z_from_topo=False, + chargeability_channel=potential.uid, + chargeability_uncertainty=2e-4, + max_global_iterations=max_iterations, + initial_beta=None, + initial_beta_ratio=1e0, + prctile=100, + upper_bound=0.1, + tile_spatial=n_lines, + store_sensitivities="ram", + coolingRate=1, + ) + params.write_input_file(path=tmp_path, name="Inv_run") + driver = InducedPolarization3DDriver.start(str(tmp_path / "Inv_run.ui.json")) + + output = get_inversion_output( + driver.params.geoh5.h5file, driver.params.out_group.uid + ) + if geoh5.open(): + output["data"] = potential.values + if pytest: + check_target(output, target_run) + + +if __name__ == "__main__": + # Full run + test_ip_3d_fwr_run( + Path("./"), + n_electrodes=20, + n_lines=5, + refinement=(4, 8), + ) + test_ip_3d_run( + Path("./"), + n_lines=5, + max_iterations=15, + pytest=False, + ) From cab2a51c172e9e0c415f9411bef224b7930da89f Mon Sep 17 00:00:00 2001 From: dominiquef Date: Thu, 13 Jun 2024 17:35:43 -0700 Subject: [PATCH 033/350] Bring back grav and tem tests --- tests/run_tests/driver_airborne_tem_test.py | 179 +++++++++++++++ tests/run_tests/driver_grav_test.py | 153 +++++++++++++ tests/run_tests/driver_ground_tem_test.py | 227 ++++++++++++++++++++ 3 files changed, 559 insertions(+) create mode 100644 tests/run_tests/driver_airborne_tem_test.py create mode 100644 tests/run_tests/driver_grav_test.py create mode 100644 tests/run_tests/driver_ground_tem_test.py diff --git a/tests/run_tests/driver_airborne_tem_test.py b/tests/run_tests/driver_airborne_tem_test.py new file mode 100644 index 00000000..973d0a7a --- /dev/null +++ b/tests/run_tests/driver_airborne_tem_test.py @@ -0,0 +1,179 @@ +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' +# Copyright (c) 2023-2024 Mira Geoscience Ltd. +# All rights reserved. +# +# This file is part of simpeg-drivers. +# +# The software and information contained herein are proprietary to, and +# comprise valuable trade secrets of, Mira Geoscience, which +# intend to preserve as trade secrets such software and information. +# This software is furnished pursuant to a written license agreement and +# may be used, copied, transmitted, and stored only in accordance with +# the terms of such license and with the inclusion of the above copyright +# notice. This software and information or any other copies thereof may +# not be provided or otherwise made available to any other person. +# +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' + +from __future__ import annotations + +from pathlib import Path + +import numpy as np +from geoh5py.workspace import Workspace + +from simpeg_drivers.electromagnetics.time_domain import TimeDomainElectromagneticsParams +from simpeg_drivers.electromagnetics.time_domain.driver import ( + TimeDomainElectromagneticsDriver, +) +from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace +from simpeg_drivers.utils.utils import get_inversion_output + +# To test the full run and validate the inversion. +# Move this file out of the test directory and run. + +target_run = { + "data_norm": 2.81018e-10, + "phi_d": 15400, + "phi_m": 718.9, +} + + +def test_airborne_tem_fwr_run( + tmp_path: Path, + n_grid_points=3, + refinement=(2,), +): + # Run the forward + geoh5, _, model, survey, topography = setup_inversion_workspace( + tmp_path, + background=0.001, + anomaly=1.0, + n_electrodes=n_grid_points, + n_lines=n_grid_points, + refinement=refinement, + inversion_type="airborne_tem", + drape_height=10.0, + padding_distance=400.0, + flatten=False, + ) + params = TimeDomainElectromagneticsParams( + forward_only=True, + geoh5=geoh5, + mesh=model.parent.uid, + topography_object=topography.uid, + resolution=0.0, + z_from_topo=False, + data_object=survey.uid, + starting_model=model.uid, + x_channel_bool=True, + y_channel_bool=True, + z_channel_bool=True, + ) + params.workpath = tmp_path + fwr_driver = TimeDomainElectromagneticsDriver(params) + fwr_driver.run() + + +def test_airborne_tem_run(tmp_path: Path, max_iterations=1, pytest=True): + workpath = tmp_path / "inversion_test.ui.geoh5" + if pytest: + workpath = ( + tmp_path.parent / "test_airborne_tem_fwr_run0" / "inversion_test.ui.geoh5" + ) + + with Workspace(workpath) as geoh5: + survey = geoh5.get_entity("Airborne_rx")[0] + mesh = geoh5.get_entity("mesh")[0] + topography = geoh5.get_entity("topography")[0] + + data = {} + uncertainties = {} + components = { + "z": "dBzdt", + } + + for comp, cname in components.items(): + data[cname] = [] + uncertainties[f"{cname} uncertainties"] = [] + for ii, _ in enumerate(survey.channels): + data_entity = geoh5.get_entity(f"Iteration_0_{comp}_[{ii}]")[0].copy( + parent=survey + ) + data[cname].append(data_entity) + + uncert = survey.add_data( + { + f"uncertainty_{comp}_[{ii}]": { + "values": np.ones_like(data_entity.values) + * (np.median(np.abs(data_entity.values))) + } + } + ) + uncertainties[f"{cname} uncertainties"].append(uncert) + + survey.add_components_data(data) + survey.add_components_data(uncertainties) + + data_kwargs = {} + for comp in components: + data_kwargs[f"{comp}_channel"] = survey.find_or_create_property_group( + name=f"Iteration_0_{comp}" + ) + data_kwargs[f"{comp}_uncertainty"] = survey.find_or_create_property_group( + name=f"dB{comp}dt uncertainties" + ) + + orig_dBzdt = geoh5.get_entity("Iteration_0_z_[0]")[0].values + + # Run the inverse + params = TimeDomainElectromagneticsParams( + geoh5=geoh5, + mesh=mesh.uid, + topography_object=topography.uid, + resolution=0.0, + data_object=survey.uid, + starting_model=1e-3, + reference_model=1e-3, + chi_factor=1.0, + s_norm=2.0, + x_norm=2.0, + y_norm=2.0, + z_norm=2.0, + alpha_s=1e-4, + gradient_type="total", + z_from_topo=False, + lower_bound=2e-6, + upper_bound=1e2, + max_global_iterations=max_iterations, + initial_beta_ratio=1e2, + coolingRate=4, + max_cg_iterations=200, + prctile=5, + store_sensitivities="ram", + **data_kwargs, + ) + params.write_input_file(path=tmp_path, name="Inv_run") + + driver = TimeDomainElectromagneticsDriver.start(str(tmp_path / "Inv_run.ui.json")) + + with geoh5.open() as run_ws: + output = get_inversion_output( + driver.params.geoh5.h5file, driver.params.out_group.uid + ) + output["data"] = orig_dBzdt + if pytest: + check_target(output, target_run, tolerance=0.5) + nan_ind = np.isnan(run_ws.get_entity("Iteration_0_model")[0].values) + inactive_ind = run_ws.get_entity("active_cells")[0].values == 0 + assert np.all(nan_ind == inactive_ind) + + +if __name__ == "__main__": + # Full run + test_airborne_tem_fwr_run(Path("./"), n_grid_points=5, refinement=(0, 0, 4)) + test_airborne_tem_run( + Path("./"), + max_iterations=15, + pytest=False, + ) diff --git a/tests/run_tests/driver_grav_test.py b/tests/run_tests/driver_grav_test.py new file mode 100644 index 00000000..e5309a5c --- /dev/null +++ b/tests/run_tests/driver_grav_test.py @@ -0,0 +1,153 @@ +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' +# Copyright (c) 2023-2024 Mira Geoscience Ltd. +# All rights reserved. +# +# This file is part of simpeg-drivers. +# +# The software and information contained herein are proprietary to, and +# comprise valuable trade secrets of, Mira Geoscience, which +# intend to preserve as trade secrets such software and information. +# This software is furnished pursuant to a written license agreement and +# may be used, copied, transmitted, and stored only in accordance with +# the terms of such license and with the inclusion of the above copyright +# notice. This software and information or any other copies thereof may +# not be provided or otherwise made available to any other person. +# +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' + +from __future__ import annotations + +from pathlib import Path + +import numpy as np +from geoh5py.workspace import Workspace + +from simpeg_drivers.potential_fields import GravityParams +from simpeg_drivers.potential_fields.gravity.driver import GravityDriver +from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace +from simpeg_drivers.utils.utils import get_inversion_output + +# To test the full run and validate the inversion. +# Move this file out of the test directory and run. + +target_run = {"data_norm": 0.0028055269276044915, "phi_d": 4.158e-05, "phi_m": 0.002882} + + +def test_gravity_fwr_run( + tmp_path: Path, + n_grid_points=2, + refinement=(2,), +): + # Run the forward + geoh5, _, model, survey, topography = setup_inversion_workspace( + tmp_path, + background=0.0, + anomaly=0.75, + n_electrodes=n_grid_points, + n_lines=n_grid_points, + refinement=refinement, + flatten=False, + ) + params = GravityParams( + forward_only=True, + geoh5=geoh5, + mesh=model.parent.uid, + topography_object=topography.uid, + z_from_topo=False, + data_object=survey.uid, + starting_model=model.uid, + ) + fwr_driver = GravityDriver(params) + fwr_driver.run() + + +def test_gravity_run( + tmp_path: Path, + max_iterations=1, + pytest=True, +): + workpath = tmp_path / "inversion_test.ui.geoh5" + if pytest: + workpath = tmp_path.parent / "test_gravity_fwr_run0" / "inversion_test.ui.geoh5" + + with Workspace(workpath) as geoh5: + gz = geoh5.get_entity("Iteration_0_gz")[0] + orig_gz = gz.values.copy() + mesh = geoh5.get_entity("mesh")[0] + topography = geoh5.get_entity("topography")[0] + + # Turn some values to nan + values = gz.values.copy() + values[0] = np.nan + gz.values = values + + # Run the inverse + params = GravityParams( + geoh5=geoh5, + mesh=mesh.uid, + topography_object=topography.uid, + data_object=gz.parent.uid, + starting_model=1e-4, + reference_model=0.0, + s_norm=0.0, + x_norm=0.0, + y_norm=0.0, + z_norm=0.0, + gradient_type="components", + gz_channel_bool=True, + z_from_topo=False, + gz_channel=gz.uid, + gz_uncertainty=2e-3, + lower_bound=0.0, + max_global_iterations=max_iterations, + initial_beta_ratio=1e-2, + prctile=100, + store_sensitivities="ram", + ) + params.write_input_file(path=tmp_path, name="Inv_run") + + driver = GravityDriver.start(str(tmp_path / "Inv_run.ui.json")) + + assert driver.params.data_object.uid != gz.parent.uid + assert driver.models.upper_bound is np.inf + + with Workspace(driver.params.geoh5.h5file) as run_ws: + output = get_inversion_output( + driver.params.geoh5.h5file, driver.params.out_group.uid + ) + + residual = run_ws.get_entity("Iteration_1_gz_Residual")[0] + assert np.isnan(residual.values).sum() == 1, "Number of nan residuals differ." + + predicted = [ + pred + for pred in run_ws.get_entity("Iteration_0_gz") + if pred.parent.parent.name == "Gravity Inversion" + ][0] + assert not any( + np.isnan(predicted.values) + ), "Predicted data should not have nans." + output["data"] = orig_gz + + assert len(run_ws.get_entity("SimPEG.log")) == 2 + + if pytest: + check_target(output, target_run) + nan_ind = np.isnan(run_ws.get_entity("Iteration_0_model")[0].values) + inactive_ind = run_ws.get_entity("active_cells")[0].values == 0 + assert np.all(nan_ind == inactive_ind) + + +if __name__ == "__main__": + # Full run + test_gravity_fwr_run( + Path("./"), + n_grid_points=20, + refinement=(4, 8), + ) + + test_gravity_run( + Path("./"), + max_iterations=15, + pytest=False, + ) diff --git a/tests/run_tests/driver_ground_tem_test.py b/tests/run_tests/driver_ground_tem_test.py new file mode 100644 index 00000000..adf11f4a --- /dev/null +++ b/tests/run_tests/driver_ground_tem_test.py @@ -0,0 +1,227 @@ +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' +# Copyright (c) 2023-2024 Mira Geoscience Ltd. +# All rights reserved. +# +# This file is part of simpeg-drivers. +# +# The software and information contained herein are proprietary to, and +# comprise valuable trade secrets of, Mira Geoscience, which +# intend to preserve as trade secrets such software and information. +# This software is furnished pursuant to a written license agreement and +# may be used, copied, transmitted, and stored only in accordance with +# the terms of such license and with the inclusion of the above copyright +# notice. This software and information or any other copies thereof may +# not be provided or otherwise made available to any other person. +# +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' + +from __future__ import annotations + +from pathlib import Path + +import numpy as np +from geoh5py.workspace import Workspace + +from simpeg_drivers.electromagnetics.time_domain import TimeDomainElectromagneticsParams +from simpeg_drivers.electromagnetics.time_domain.driver import ( + TimeDomainElectromagneticsDriver, +) +from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace +from simpeg_drivers.utils.utils import get_inversion_output + +# To test the full run and validate the inversion. +# Move this file out of the test directory and run. + +target_run = { + "data_norm": 5.95181e-7, + "phi_d": 43.29, + "phi_m": 443.1, +} + + +def test_tiling_ground_tem( + tmp_path: Path, + n_grid_points=4, + refinement=(2,), +): + # Run the forward + geoh5, _, model, survey, topography = setup_inversion_workspace( + tmp_path, + background=0.001, + anomaly=1.0, + n_electrodes=n_grid_points, + n_lines=n_grid_points, + refinement=refinement, + inversion_type="ground_tem", + drape_height=5.0, + padding_distance=1000.0, + flatten=True, + ) + + params = TimeDomainElectromagneticsParams( + forward_only=True, + geoh5=geoh5, + mesh=model.parent.uid, + topography_object=topography.uid, + resolution=0.0, + z_from_topo=False, + data_object=survey.uid, + starting_model=model.uid, + x_channel_bool=True, + y_channel_bool=True, + z_channel_bool=True, + tile_spatial=4, + ) + fwr_driver = TimeDomainElectromagneticsDriver(params) + + tiles = fwr_driver.get_tiles() + + assert len(tiles) == 4 + + for tile in tiles: + assert len(np.unique(survey.tx_id_property.values[tile])) == 1 + + fwr_driver.run() + + +def test_ground_tem_fwr_run( + tmp_path: Path, + n_grid_points=4, + refinement=(2,), +): + # Run the forward + geoh5, _, model, survey, topography = setup_inversion_workspace( + tmp_path, + background=0.001, + anomaly=1.0, + n_electrodes=n_grid_points, + n_lines=n_grid_points, + refinement=refinement, + inversion_type="ground_tem", + drape_height=5.0, + padding_distance=1000.0, + flatten=True, + ) + params = TimeDomainElectromagneticsParams( + forward_only=True, + geoh5=geoh5, + mesh=model.parent.uid, + topography_object=topography.uid, + resolution=0.0, + z_from_topo=False, + data_object=survey.uid, + starting_model=model.uid, + x_channel_bool=True, + y_channel_bool=True, + z_channel_bool=True, + ) + params.workpath = tmp_path + fwr_driver = TimeDomainElectromagneticsDriver(params) + fwr_driver.run() + + +def test_ground_tem_run(tmp_path: Path, max_iterations=1, pytest=True): + workpath = tmp_path / "inversion_test.ui.geoh5" + if pytest: + workpath = ( + tmp_path.parent / "test_ground_tem_fwr_run0" / "inversion_test.ui.geoh5" + ) + + with Workspace(workpath) as geoh5: + simpeg_group = geoh5.get_entity("Tdem Forward")[0] + survey = simpeg_group.get_entity("Ground TEM Rx")[0] + mesh = geoh5.get_entity("mesh")[0] + topography = geoh5.get_entity("topography")[0] + + data = {} + uncertainties = {} + components = { + "z": "dBzdt", + } + + for comp, cname in components.items(): + data[cname] = [] + uncertainties[f"{cname} uncertainties"] = [] + for ii, _ in enumerate(survey.channels): + data_entity = geoh5.get_entity(f"Iteration_0_{comp}_[{ii}]")[0].copy( + parent=survey + ) + data[cname].append(data_entity) + + uncert = survey.add_data( + { + f"uncertainty_{comp}_[{ii}]": { + "values": np.ones_like(data_entity.values) + * np.median(np.abs(data_entity.values)) + / 2.0 + } + } + ) + uncertainties[f"{cname} uncertainties"].append(uncert) + + survey.add_components_data(data) + survey.add_components_data(uncertainties) + + data_kwargs = {} + for comp in components: + data_kwargs[f"{comp}_channel"] = survey.find_or_create_property_group( + name=f"Iteration_0_{comp}" + ) + data_kwargs[f"{comp}_uncertainty"] = survey.find_or_create_property_group( + name=f"dB{comp}dt uncertainties" + ) + + orig_dBzdt = geoh5.get_entity("Iteration_0_z_[0]")[0].values + + # Run the inverse + params = TimeDomainElectromagneticsParams( + geoh5=geoh5, + mesh=mesh.uid, + topography_object=topography.uid, + resolution=0.0, + data_object=survey.uid, + starting_model=1e-3, + reference_model=1e-3, + chi_factor=0.1, + s_norm=2.0, + x_norm=2.0, + y_norm=2.0, + z_norm=2.0, + alpha_s=0e-1, + gradient_type="total", + z_from_topo=False, + lower_bound=2e-6, + upper_bound=1e2, + max_global_iterations=max_iterations, + initial_beta_ratio=1e1, + coolingRate=2, + max_cg_iterations=200, + prctile=100, + # sens_wts_threshold=1., + store_sensitivities="ram", + **data_kwargs, + ) + params.write_input_file(path=tmp_path, name="Inv_run") + + driver = TimeDomainElectromagneticsDriver.start(str(tmp_path / "Inv_run.ui.json")) + + with geoh5.open() as run_ws: + output = get_inversion_output( + driver.params.geoh5.h5file, driver.params.out_group.uid + ) + output["data"] = orig_dBzdt + if pytest: + check_target(output, target_run, tolerance=0.5) + nan_ind = np.isnan(run_ws.get_entity("Iteration_0_model")[0].values) + inactive_ind = run_ws.get_entity("active_cells")[0].values == 0 + assert np.all(nan_ind == inactive_ind) + + +if __name__ == "__main__": + # Full run + test_ground_tem_fwr_run(Path("./"), n_grid_points=5, refinement=(2, 2, 2)) + test_ground_tem_run( + Path("./"), + max_iterations=15, + pytest=False, + ) From 68ec5caf389006ed60d5a4f3c4fd3e25af18f10e Mon Sep 17 00:00:00 2001 From: dominiquef Date: Thu, 13 Jun 2024 17:48:00 -0700 Subject: [PATCH 034/350] Bring back joint --- .../driver_joint_cross_gradient_test.py | 276 ++++++++++++++++++ tests/run_tests/driver_joint_surveys_test.py | 188 ++++++++++++ 2 files changed, 464 insertions(+) create mode 100644 tests/run_tests/driver_joint_cross_gradient_test.py create mode 100644 tests/run_tests/driver_joint_surveys_test.py diff --git a/tests/run_tests/driver_joint_cross_gradient_test.py b/tests/run_tests/driver_joint_cross_gradient_test.py new file mode 100644 index 00000000..4a92bf65 --- /dev/null +++ b/tests/run_tests/driver_joint_cross_gradient_test.py @@ -0,0 +1,276 @@ +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' +# Copyright (c) 2023-2024 Mira Geoscience Ltd. +# All rights reserved. +# +# This file is part of simpeg-drivers. +# +# The software and information contained herein are proprietary to, and +# comprise valuable trade secrets of, Mira Geoscience, which +# intend to preserve as trade secrets such software and information. +# This software is furnished pursuant to a written license agreement and +# may be used, copied, transmitted, and stored only in accordance with +# the terms of such license and with the inclusion of the above copyright +# notice. This software and information or any other copies thereof may +# not be provided or otherwise made available to any other person. +# +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' + +from pathlib import Path + +import numpy as np +from geoh5py.data import FloatData +from geoh5py.groups import SimPEGGroup +from geoh5py.workspace import Workspace + +from simpeg_drivers.electricals.direct_current.three_dimensions import ( + DirectCurrent3DParams, +) +from simpeg_drivers.electricals.direct_current.three_dimensions.driver import ( + DirectCurrent3DDriver, +) +from simpeg_drivers.joint.joint_cross_gradient import JointCrossGradientParams +from simpeg_drivers.joint.joint_cross_gradient.driver import JointCrossGradientDriver +from simpeg_drivers.potential_fields import GravityParams, MagneticVectorParams +from simpeg_drivers.potential_fields.gravity.driver import GravityDriver +from simpeg_drivers.potential_fields.magnetic_vector.driver import MagneticVectorDriver +from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace +from simpeg_drivers.utils.utils import get_inversion_output + +# To test the full run and validate the inversion. +# Move this file out of the test directory and run. + +target_run = {"data_norm": 53.29600188902931, "phi_d": 534.7, "phi_m": 0.2942} + + +def test_joint_cross_gradient_fwr_run( + tmp_path, + n_grid_points=4, + n_lines=3, + refinement=(2,), +): + # Create local problem A + geoh5, _, model, survey, topography = setup_inversion_workspace( + tmp_path, + background=0.0, + anomaly=0.75, + drape_height=15.0, + refinement=refinement, + n_electrodes=n_grid_points, + n_lines=n_grid_points, + ) + params = GravityParams( + forward_only=True, + geoh5=geoh5, + mesh=model.parent.uid, + topography_object=topography.uid, + resolution=0.0, + z_from_topo=False, + data_object=survey.uid, + starting_model=model.uid, + ) + fwr_driver_a = GravityDriver(params) + + _, _, model, survey, _ = setup_inversion_workspace( + tmp_path, + geoh5=geoh5, + background=0.0, + anomaly=0.05, + drape_height=15.0, + refinement=refinement, + n_electrodes=n_grid_points, + n_lines=n_grid_points, + flatten=False, + ) + inducing_field = (50000.0, 90.0, 0.0) + params = MagneticVectorParams( + forward_only=True, + geoh5=geoh5, + mesh=model.parent.uid, + topography_object=topography.uid, + inducing_field_strength=inducing_field[0], + inducing_field_inclination=inducing_field[1], + inducing_field_declination=inducing_field[2], + resolution=0.0, + z_from_topo=False, + data_object=survey.uid, + starting_model=model.uid, + ) + params.workpath = tmp_path + fwr_driver_b = MagneticVectorDriver(params) + + _, _, model, survey, _ = setup_inversion_workspace( + tmp_path, + geoh5=geoh5, + background=0.01, + anomaly=10, + n_electrodes=n_grid_points, + n_lines=n_lines, + refinement=refinement, + drape_height=0.0, + inversion_type="dcip", + flatten=False, + ) + params = DirectCurrent3DParams( + forward_only=True, + geoh5=geoh5, + mesh=model.parent.uid, + topography_object=topography.uid, + data_object=survey.uid, + starting_model=model.uid, + ) + fwr_driver_c = DirectCurrent3DDriver(params) + fwr_driver_c.inversion_data.entity.name = "survey" + + # Force co-location of meshes + for driver in [fwr_driver_b, fwr_driver_c]: + driver.inversion_mesh.entity.origin = fwr_driver_a.inversion_mesh.entity.origin + driver.workspace.update_attribute(driver.inversion_mesh.entity, "attributes") + driver.inversion_mesh._mesh = None # pylint: disable=protected-access + + fwr_driver_a.run() + fwr_driver_b.run() + fwr_driver_c.run() + + +def test_joint_cross_gradient_inv_run( + tmp_path, + max_iterations=1, + n_lines=3, + pytest=True, +): + workpath = tmp_path / "inversion_test.ui.geoh5" + if pytest: + workpath = ( + tmp_path.parent + / "test_joint_cross_gradient_fwr_0" + / "inversion_test.ui.geoh5" + ) + + with Workspace(workpath) as geoh5: + topography = geoh5.get_entity("topography")[0] + drivers = [] + orig_data = [] + + for group_name in [ + "Gravity Forward", + "Magnetic vector Forward", + "Direct current 3d Forward", + ]: + group = geoh5.get_entity(group_name)[0] + + if not isinstance(group, SimPEGGroup): + continue + + mesh = group.get_entity("mesh")[0] + survey = group.get_entity("survey")[0] + + data = None + for child in survey.children: + if isinstance(child, FloatData): + data = child + + if data is None: + raise ValueError("No data found in survey") + + orig_data.append(data.values) + + if group.options["inversion_type"] == "gravity": + params = GravityParams( + geoh5=geoh5, + mesh=mesh.uid, + alpha_s=0.0, + topography_object=topography.uid, + data_object=survey.uid, + gz_channel=data.uid, + gz_uncertainty=1e-3, + starting_model=0.0, + ) + drivers.append(GravityDriver(params)) + elif group.options["inversion_type"] == "direct current 3d": + params = DirectCurrent3DParams( + geoh5=geoh5, + mesh=mesh.uid, + alpha_s=0.0, + topography_object=topography.uid, + data_object=survey.uid, + potential_channel=data.uid, + potential_uncertainty=1e-3, + tile_spatial=n_lines, + starting_model=1e-2, + reference_model=1e-2, + ) + drivers.append(DirectCurrent3DDriver(params)) + else: + params = MagneticVectorParams( + geoh5=geoh5, + mesh=mesh.uid, + alpha_s=0.0, + topography_object=topography.uid, + inducing_field_strength=group.options["inducing_field_strength"][ + "value" + ], + inducing_field_inclination=group.options[ + "inducing_field_inclination" + ]["value"], + inducing_field_declination=group.options[ + "inducing_field_declination" + ]["value"], + data_object=survey.uid, + starting_model=1e-4, + reference_model=0.0, + tile_spatial=1, + tmi_channel=data.uid, + tmi_uncertainty=1e0, + ) + drivers.append(MagneticVectorDriver(params)) + + # Run the inverse + joint_params = JointCrossGradientParams( + geoh5=geoh5, + topography_object=topography.uid, + group_a=drivers[0].params.out_group, + group_a_multiplier=1e-2, + group_b=drivers[1].params.out_group, + group_b_multiplier=1e-2, + group_c=drivers[2].params.out_group, + max_global_iterations=max_iterations, + initial_beta_ratio=1e2, + cross_gradient_weight_a_b=5e0, + cross_gradient_weight_c_a=5e0, + cross_gradient_weight_c_b=5e0, + s_norm=0.0, + x_norm=0.0, + y_norm=0.0, + z_norm=0.0, + gradient_type="components", + prctile=100, + store_sensitivities="ram", + ) + + driver = JointCrossGradientDriver(joint_params) + driver.run() + + with Workspace(driver.params.geoh5.h5file): + output = get_inversion_output( + driver.params.geoh5.h5file, driver.params.out_group.uid + ) + + output["data"] = np.hstack(orig_data) + if pytest: + check_target(output, target_run) + + +if __name__ == "__main__": + # Full run + test_joint_cross_gradient_fwr_run( + Path("./"), + n_grid_points=16, + n_lines=5, + refinement=(4, 8), + ) + test_joint_cross_gradient_inv_run( + Path("./"), + max_iterations=20, + n_lines=5, + pytest=False, + ) diff --git a/tests/run_tests/driver_joint_surveys_test.py b/tests/run_tests/driver_joint_surveys_test.py new file mode 100644 index 00000000..fc26fc9c --- /dev/null +++ b/tests/run_tests/driver_joint_surveys_test.py @@ -0,0 +1,188 @@ +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' +# Copyright (c) 2023-2024 Mira Geoscience Ltd. +# All rights reserved. +# +# This file is part of simpeg-drivers. +# +# The software and information contained herein are proprietary to, and +# comprise valuable trade secrets of, Mira Geoscience, which +# intend to preserve as trade secrets such software and information. +# This software is furnished pursuant to a written license agreement and +# may be used, copied, transmitted, and stored only in accordance with +# the terms of such license and with the inclusion of the above copyright +# notice. This software and information or any other copies thereof may +# not be provided or otherwise made available to any other person. +# +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' + +from pathlib import Path + +import numpy as np +from geoh5py.objects import Octree +from geoh5py.workspace import Workspace + +from simpeg_drivers.joint.joint_surveys import JointSurveysParams +from simpeg_drivers.joint.joint_surveys.driver import JointSurveyDriver +from simpeg_drivers.potential_fields import GravityParams +from simpeg_drivers.potential_fields.gravity.driver import GravityDriver +from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace +from simpeg_drivers.utils.utils import get_inversion_output + +# To test the full run and validate the inversion. +# Move this file out of the test directory and run. + +target_run = {"data_norm": 0.2997791602206556, "phi_d": 705.3, "phi_m": 74.54} + + +def test_joint_surveys_fwr_run( + tmp_path, + n_grid_points=6, + refinement=(2,), +): + # Create local problem A + geoh5, _, model, survey, topography = setup_inversion_workspace( + tmp_path, + background=0.0, + anomaly=0.75, + refinement=refinement, + n_electrodes=n_grid_points, + n_lines=n_grid_points, + ) + params = GravityParams( + forward_only=True, + geoh5=geoh5, + mesh=model.parent.uid, + topography_object=topography.uid, + resolution=0.0, + z_from_topo=False, + data_object=survey.uid, + starting_model=model.uid, + ) + fwr_driver_a = GravityDriver(params) + fwr_driver_a.out_group.name = "Gravity Forward [0]" + + # Create local problem B + _, _, model, survey, _ = setup_inversion_workspace( + tmp_path, + background=0.0, + anomaly=0.75, + refinement=[0, 2], + n_electrodes=int(n_grid_points / 2), + n_lines=int(n_grid_points / 2), + flatten=False, + geoh5=geoh5, + drape_height=10.0, + ) + params = GravityParams( + forward_only=True, + geoh5=geoh5, + mesh=model.parent.uid, + topography_object=topography.uid, + resolution=0.0, + z_from_topo=False, + data_object=survey.uid, + starting_model=model.uid, + ) + fwr_driver_b = GravityDriver(params) + fwr_driver_b.out_group.name = "Gravity Forward [1]" + + # Force co-location of meshes + fwr_driver_b.inversion_mesh.entity.origin = ( + fwr_driver_a.inversion_mesh.entity.origin + ) + fwr_driver_b.workspace.update_attribute( + fwr_driver_b.inversion_mesh.entity, "attributes" + ) + fwr_driver_b.inversion_mesh._mesh = None # pylint: disable=protected-access + fwr_driver_a.run() + fwr_driver_b.run() + geoh5.close() + + +def test_joint_surveys_inv_run( + tmp_path, + max_iterations=1, + unittest=True, +): + workpath = tmp_path / "inversion_test.ui.geoh5" + if unittest: + workpath = ( + tmp_path.parent / "test_joint_surveys_fwr_run0" / "inversion_test.ui.geoh5" + ) + + with Workspace(workpath) as geoh5: + topography = geoh5.get_entity("topography")[0] + drivers = [] + orig_data = [] + mesh = None + for ind in range(2): + group = geoh5.get_entity(f"Gravity Forward [{ind}]")[0] + survey = geoh5.get_entity(group.options["data_object"]["value"])[0] + for child in group.children: + if isinstance(child, Octree): + mesh = child + else: + survey = child + + if mesh is None: + raise ValueError("No mesh found in the group.") + + gz = survey.get_data("Iteration_0_gz")[0] + orig_data.append(gz.values) + params = GravityParams( + geoh5=geoh5, + mesh=mesh.uid, + topography_object=topography.uid, + data_object=survey.uid, + gz_channel=gz.uid, + gz_uncertainty=np.var(gz.values) * 2.0, + starting_model=0.0, + ) + drivers.append(GravityDriver(params)) + + # Run the inverse + joint_params = JointSurveysParams( + geoh5=geoh5, + topography_object=topography.uid, + mesh=drivers[0].params.mesh, + group_a=drivers[0].params.out_group, + group_b=drivers[1].params.out_group, + starting_model=1e-4, + reference_model=0.0, + s_norm=0.0, + x_norm=0.0, + y_norm=0.0, + z_norm=0.0, + gradient_type="components", + lower_bound=0.0, + max_global_iterations=max_iterations, + initial_beta_ratio=1e-2, + prctile=100, + store_sensitivities="ram", + ) + + driver = JointSurveyDriver(joint_params) + driver.run() + + with Workspace(driver.params.geoh5.h5file): + output = get_inversion_output( + driver.params.geoh5.h5file, driver.params.out_group.uid + ) + output["data"] = np.hstack(orig_data) + + if unittest: + check_target(output, target_run) + + +if __name__ == "__main__": + # Full run + test_joint_surveys_fwr_run( + Path("./"), + n_grid_points=20, + refinement=(4, 8), + ) + test_joint_surveys_inv_run( + Path("./"), + max_iterations=20, + unittest=False, + ) From 10431921c00a33cecc34f28b6cd2272066c5866d Mon Sep 17 00:00:00 2001 From: dominiquef Date: Thu, 13 Jun 2024 18:02:01 -0700 Subject: [PATCH 035/350] Bring back fem test --- tests/run_tests/driver_fem_test.py | 183 +++++++++++++++++++++++++++++ 1 file changed, 183 insertions(+) create mode 100644 tests/run_tests/driver_fem_test.py diff --git a/tests/run_tests/driver_fem_test.py b/tests/run_tests/driver_fem_test.py new file mode 100644 index 00000000..117f9afd --- /dev/null +++ b/tests/run_tests/driver_fem_test.py @@ -0,0 +1,183 @@ +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' +# Copyright (c) 2023-2024 Mira Geoscience Ltd. +# All rights reserved. +# +# This file is part of simpeg-drivers. +# +# The software and information contained herein are proprietary to, and +# comprise valuable trade secrets of, Mira Geoscience, which +# intend to preserve as trade secrets such software and information. +# This software is furnished pursuant to a written license agreement and +# may be used, copied, transmitted, and stored only in accordance with +# the terms of such license and with the inclusion of the above copyright +# notice. This software and information or any other copies thereof may +# not be provided or otherwise made available to any other person. +# +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' + +# pylint: disable=too-many-locals + +from __future__ import annotations + +from pathlib import Path + +import numpy as np +from geoh5py import Workspace + +from simpeg_drivers.electromagnetics.frequency_domain.driver import ( + FrequencyDomainElectromagneticsDriver, +) +from simpeg_drivers.electromagnetics.frequency_domain.params import ( + FrequencyDomainElectromagneticsParams, +) +from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace +from simpeg_drivers.utils.utils import get_inversion_output + +# To test the full run and validate the inversion. +# Move this file out of the test directory and run. + +target_run = {"data_norm": 47.522882323952054, "phi_d": 364.5, "phi_m": 883.8} + + +def test_fem_fwr_run( + tmp_path: Path, + n_grid_points=3, + refinement=(2,), +): + # Run the forward + geoh5, _, model, survey, topography = setup_inversion_workspace( + tmp_path, + background=1e-3, + anomaly=1.0, + n_electrodes=n_grid_points, + n_lines=n_grid_points, + refinement=refinement, + drape_height=15.0, + padding_distance=400, + inversion_type="fem", + flatten=True, + ) + params = FrequencyDomainElectromagneticsParams( + forward_only=True, + geoh5=geoh5, + mesh=model.parent.uid, + topography_object=topography.uid, + resolution=0.0, + z_from_topo=False, + data_object=survey.uid, + starting_model=model.uid, + z_real_channel_bool=True, + z_imag_channel_bool=True, + ) + params.workpath = tmp_path + fwr_driver = FrequencyDomainElectromagneticsDriver(params) + fwr_driver.run() + geoh5.close() + + +def test_fem_run(tmp_path: Path, max_iterations=1, pytest=True): + workpath = tmp_path / "inversion_test.ui.geoh5" + if pytest: + workpath = tmp_path.parent / "test_fem_fwr_run0" / "inversion_test.ui.geoh5" + + with Workspace(workpath) as geoh5: + survey = geoh5.get_entity("Airborne_rx")[0].copy(copy_children=False) + mesh = geoh5.get_entity("mesh")[0] + topography = geoh5.get_entity("topography")[0] + data = {} + uncertainties = {} + components = { + "z_real": "z_real", + "z_imag": "z_imag", + } + + for comp, cname in components.items(): + data[cname] = [] + uncertainties[f"{cname} uncertainties"] = [] + for ind, freq in enumerate(survey.channels): + data_entity = geoh5.get_entity(f"Iteration_0_{comp}_[{ind}]")[0].copy( + parent=survey + ) + data[cname].append(data_entity) + abs_val = np.abs(data_entity.values) + uncert = survey.add_data( + { + f"uncertainty_{comp}_[{ind}]": { + "values": np.ones_like(abs_val) + * freq + / 200.0 # * 2**(np.abs(ind-1)) + } + } + ) + uncertainties[f"{cname} uncertainties"].append( + uncert.copy(parent=survey) + ) + + data_groups = survey.add_components_data(data) + uncert_groups = survey.add_components_data(uncertainties) + + data_kwargs = {} + for comp, data_group, uncert_group in zip( + components, data_groups, uncert_groups + ): + data_kwargs[f"{comp}_channel"] = data_group.uid + data_kwargs[f"{comp}_uncertainty"] = uncert_group.uid + + orig_z_real_1 = geoh5.get_entity("Iteration_0_z_real_[0]")[0].values + + # Run the inverse + params = FrequencyDomainElectromagneticsParams( + geoh5=geoh5, + mesh=mesh.uid, + topography_object=topography.uid, + resolution=0.0, + data_object=survey.uid, + starting_model=1e-3, + reference_model=1e-3, + alpha_s=0.0, + s_norm=0.0, + x_norm=0.0, + y_norm=0.0, + z_norm=0.0, + gradient_type="components", + z_from_topo=False, + upper_bound=0.75, + max_global_iterations=max_iterations, + initial_beta_ratio=1e1, + prctile=100, + coolingRate=3, + chi_factor=0.25, + store_sensitivities="ram", + sens_wts_threshold=1.0, + **data_kwargs, + ) + params.write_input_file(path=tmp_path, name="Inv_run") + driver = FrequencyDomainElectromagneticsDriver(params) + driver.run() + + with geoh5.open() as run_ws: + output = get_inversion_output( + driver.params.geoh5.h5file, driver.params.out_group.uid + ) + output["data"] = orig_z_real_1 + + assert ( + run_ws.get_entity("Iteration_1_z_imag_[1]")[0].entity_type.uid + == run_ws.get_entity("Observed_z_imag_[1]")[0].entity_type.uid + ) + + if pytest: + check_target(output, target_run, tolerance=0.5) + nan_ind = np.isnan(run_ws.get_entity("Iteration_0_model")[0].values) + inactive_ind = run_ws.get_entity("active_cells")[0].values == 0 + assert np.all(nan_ind == inactive_ind) + + +if __name__ == "__main__": + # Full run + test_fem_fwr_run(Path("./"), n_grid_points=5, refinement=(4, 4, 4)) + test_fem_run( + Path("./"), + max_iterations=15, + pytest=False, + ) From 748e757cdc2cd1e43afc908734683d8cb95c4c21 Mon Sep 17 00:00:00 2001 From: dominiquef Date: Thu, 13 Jun 2024 19:19:26 -0700 Subject: [PATCH 036/350] Bring back tipper --- tests/run_tests/driver_tipper_test.py | 171 ++++++++++++++++++++++++++ 1 file changed, 171 insertions(+) create mode 100644 tests/run_tests/driver_tipper_test.py diff --git a/tests/run_tests/driver_tipper_test.py b/tests/run_tests/driver_tipper_test.py new file mode 100644 index 00000000..166b72a0 --- /dev/null +++ b/tests/run_tests/driver_tipper_test.py @@ -0,0 +1,171 @@ +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' +# Copyright (c) 2023-2024 Mira Geoscience Ltd. +# All rights reserved. +# +# This file is part of simpeg-drivers. +# +# The software and information contained herein are proprietary to, and +# comprise valuable trade secrets of, Mira Geoscience, which +# intend to preserve as trade secrets such software and information. +# This software is furnished pursuant to a written license agreement and +# may be used, copied, transmitted, and stored only in accordance with +# the terms of such license and with the inclusion of the above copyright +# notice. This software and information or any other copies thereof may +# not be provided or otherwise made available to any other person. +# +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' + +from __future__ import annotations + +from pathlib import Path + +import numpy as np +from geoh5py.workspace import Workspace + +from simpeg_drivers.natural_sources import TipperParams +from simpeg_drivers.natural_sources.tipper.driver import TipperDriver +from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace +from simpeg_drivers.utils.utils import get_inversion_output + +# To test the full run and validate the inversion. +# Move this file out of the test directory and run. + +target_run = {"data_norm": 0.0020959218368283884, "phi_d": 0.1504, "phi_m": 7209} + + +def test_tipper_fwr_run( + tmp_path: Path, + n_grid_points=2, + refinement=(2,), +): + # Run the forward + geoh5, _, model, survey, topography = setup_inversion_workspace( + tmp_path, + background=1e-3, + anomaly=1.0, + n_electrodes=n_grid_points, + n_lines=n_grid_points, + refinement=refinement, + inversion_type="tipper", + drape_height=15.0, + flatten=False, + ) + params = TipperParams( + forward_only=True, + geoh5=geoh5, + mesh=model.parent.uid, + topography_object=topography.uid, + resolution=0.0, + z_from_topo=False, + data_object=survey.uid, + starting_model=model.uid, + conductivity_model=1e-3, + txz_real_channel_bool=True, + txz_imag_channel_bool=True, + tyz_real_channel_bool=True, + tyz_imag_channel_bool=True, + ) + params.workpath = tmp_path + fwr_driver = TipperDriver(params) + fwr_driver.run() + + +def test_tipper_run(tmp_path: Path, max_iterations=1, pytest=True): + workpath = tmp_path / "inversion_test.ui.geoh5" + if pytest: + workpath = tmp_path.parent / "test_tipper_fwr_run0" / "inversion_test.ui.geoh5" + + with Workspace(workpath) as geoh5: + survey = geoh5.get_entity("survey")[0] + mesh = geoh5.get_entity("mesh")[0] + topography = geoh5.get_entity("topography")[0] + + data = {} + uncertainties = {} + components = { + "txz_real": "Txz (real)", + "txz_imag": "Txz (imag)", + "tyz_real": "Tyz (real)", + "tyz_imag": "Tyz (imag)", + } + + for comp, cname in components.items(): + data[cname] = [] + uncertainties[f"{cname} uncertainties"] = [] + for ind in range(len(survey.channels)): + data_entity = geoh5.get_entity(f"Iteration_0_{comp}_[{ind}]")[0].copy( + parent=survey + ) + data[cname].append(data_entity) + + uncert = survey.add_data( + { + f"uncertainty_{comp}_[{ind}]": { + "values": np.ones_like(data_entity.values) + * np.percentile(np.abs(data_entity.values), 5) + } + } + ) + uncertainties[f"{cname} uncertainties"].append(uncert) + + data_groups = survey.add_components_data(data) + uncert_groups = survey.add_components_data(uncertainties) + + data_kwargs = {} + for comp, data_group, uncert_group in zip( + components, data_groups, uncert_groups + ): + data_kwargs[f"{comp}_channel"] = data_group.uid + data_kwargs[f"{comp}_uncertainty"] = uncert_group.uid + + orig_tyz_real_1 = geoh5.get_entity("Iteration_0_tyz_real_[0]")[0].values + + # Run the inverse + params = TipperParams( + geoh5=geoh5, + mesh=mesh.uid, + topography_object=topography.uid, + resolution=0.0, + data_object=survey.uid, + starting_model=0.001, + reference_model=0.001, + conductivity_model=1e-3, + s_norm=1.0, + x_norm=1.0, + y_norm=1.0, + z_norm=1.0, + alpha_s=1.0, + gradient_type="components", + z_from_topo=False, + upper_bound=0.75, + max_global_iterations=max_iterations, + initial_beta_ratio=1e2, + coolingRate=2, + prctile=100, + chi_factor=0.1, + store_sensitivities="ram", + **data_kwargs, + ) + params.write_input_file(path=tmp_path, name="Inv_run") + driver = TipperDriver.start(str(tmp_path / "Inv_run.ui.json")) + + with geoh5.open() as run_ws: + output = get_inversion_output( + driver.params.geoh5.h5file, driver.params.out_group.uid + ) + output["data"] = orig_tyz_real_1 + if pytest: + check_target(output, target_run, tolerance=0.5) + nan_ind = np.isnan(run_ws.get_entity("Iteration_0_model")[0].values) + inactive_ind = run_ws.get_entity("active_cells")[0].values == 0 + assert np.all(nan_ind == inactive_ind) + + +if __name__ == "__main__": + # Full run + test_tipper_fwr_run(Path("./"), n_grid_points=8, refinement=(4, 4)) + test_tipper_run( + Path("./"), + max_iterations=15, + pytest=False, + ) From b9927c35001334759bd50a1ae9fcbb412137bdcc Mon Sep 17 00:00:00 2001 From: dominiquef Date: Thu, 13 Jun 2024 21:37:39 -0700 Subject: [PATCH 037/350] Only mt inv again --- tests/run_tests/driver_airborne_tem_test.py | 179 ------------ tests/run_tests/driver_dc_2d_test.py | 149 ---------- tests/run_tests/driver_dc_p3d_test.py | 166 ----------- tests/run_tests/driver_dc_test.py | 190 ------------ tests/run_tests/driver_fem_test.py | 183 ------------ tests/run_tests/driver_grav_test.py | 153 ---------- tests/run_tests/driver_ground_tem_test.py | 227 -------------- tests/run_tests/driver_ip_2d_test.py | 141 --------- tests/run_tests/driver_ip_p3d_test.py | 168 ----------- tests/run_tests/driver_ip_test.py | 139 --------- .../driver_joint_cross_gradient_test.py | 276 ------------------ tests/run_tests/driver_joint_surveys_test.py | 188 ------------ tests/run_tests/driver_mag_test.py | 140 --------- tests/run_tests/driver_mt_test.py | 230 +++++++-------- tests/run_tests/driver_mvi_test.py | 147 ---------- tests/run_tests/driver_tipper_test.py | 171 ----------- 16 files changed, 115 insertions(+), 2732 deletions(-) delete mode 100644 tests/run_tests/driver_airborne_tem_test.py delete mode 100644 tests/run_tests/driver_dc_2d_test.py delete mode 100644 tests/run_tests/driver_dc_p3d_test.py delete mode 100644 tests/run_tests/driver_dc_test.py delete mode 100644 tests/run_tests/driver_fem_test.py delete mode 100644 tests/run_tests/driver_grav_test.py delete mode 100644 tests/run_tests/driver_ground_tem_test.py delete mode 100644 tests/run_tests/driver_ip_2d_test.py delete mode 100644 tests/run_tests/driver_ip_p3d_test.py delete mode 100644 tests/run_tests/driver_ip_test.py delete mode 100644 tests/run_tests/driver_joint_cross_gradient_test.py delete mode 100644 tests/run_tests/driver_joint_surveys_test.py delete mode 100644 tests/run_tests/driver_mag_test.py delete mode 100644 tests/run_tests/driver_mvi_test.py delete mode 100644 tests/run_tests/driver_tipper_test.py diff --git a/tests/run_tests/driver_airborne_tem_test.py b/tests/run_tests/driver_airborne_tem_test.py deleted file mode 100644 index 973d0a7a..00000000 --- a/tests/run_tests/driver_airborne_tem_test.py +++ /dev/null @@ -1,179 +0,0 @@ -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' -# Copyright (c) 2023-2024 Mira Geoscience Ltd. -# All rights reserved. -# -# This file is part of simpeg-drivers. -# -# The software and information contained herein are proprietary to, and -# comprise valuable trade secrets of, Mira Geoscience, which -# intend to preserve as trade secrets such software and information. -# This software is furnished pursuant to a written license agreement and -# may be used, copied, transmitted, and stored only in accordance with -# the terms of such license and with the inclusion of the above copyright -# notice. This software and information or any other copies thereof may -# not be provided or otherwise made available to any other person. -# -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' - -from __future__ import annotations - -from pathlib import Path - -import numpy as np -from geoh5py.workspace import Workspace - -from simpeg_drivers.electromagnetics.time_domain import TimeDomainElectromagneticsParams -from simpeg_drivers.electromagnetics.time_domain.driver import ( - TimeDomainElectromagneticsDriver, -) -from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace -from simpeg_drivers.utils.utils import get_inversion_output - -# To test the full run and validate the inversion. -# Move this file out of the test directory and run. - -target_run = { - "data_norm": 2.81018e-10, - "phi_d": 15400, - "phi_m": 718.9, -} - - -def test_airborne_tem_fwr_run( - tmp_path: Path, - n_grid_points=3, - refinement=(2,), -): - # Run the forward - geoh5, _, model, survey, topography = setup_inversion_workspace( - tmp_path, - background=0.001, - anomaly=1.0, - n_electrodes=n_grid_points, - n_lines=n_grid_points, - refinement=refinement, - inversion_type="airborne_tem", - drape_height=10.0, - padding_distance=400.0, - flatten=False, - ) - params = TimeDomainElectromagneticsParams( - forward_only=True, - geoh5=geoh5, - mesh=model.parent.uid, - topography_object=topography.uid, - resolution=0.0, - z_from_topo=False, - data_object=survey.uid, - starting_model=model.uid, - x_channel_bool=True, - y_channel_bool=True, - z_channel_bool=True, - ) - params.workpath = tmp_path - fwr_driver = TimeDomainElectromagneticsDriver(params) - fwr_driver.run() - - -def test_airborne_tem_run(tmp_path: Path, max_iterations=1, pytest=True): - workpath = tmp_path / "inversion_test.ui.geoh5" - if pytest: - workpath = ( - tmp_path.parent / "test_airborne_tem_fwr_run0" / "inversion_test.ui.geoh5" - ) - - with Workspace(workpath) as geoh5: - survey = geoh5.get_entity("Airborne_rx")[0] - mesh = geoh5.get_entity("mesh")[0] - topography = geoh5.get_entity("topography")[0] - - data = {} - uncertainties = {} - components = { - "z": "dBzdt", - } - - for comp, cname in components.items(): - data[cname] = [] - uncertainties[f"{cname} uncertainties"] = [] - for ii, _ in enumerate(survey.channels): - data_entity = geoh5.get_entity(f"Iteration_0_{comp}_[{ii}]")[0].copy( - parent=survey - ) - data[cname].append(data_entity) - - uncert = survey.add_data( - { - f"uncertainty_{comp}_[{ii}]": { - "values": np.ones_like(data_entity.values) - * (np.median(np.abs(data_entity.values))) - } - } - ) - uncertainties[f"{cname} uncertainties"].append(uncert) - - survey.add_components_data(data) - survey.add_components_data(uncertainties) - - data_kwargs = {} - for comp in components: - data_kwargs[f"{comp}_channel"] = survey.find_or_create_property_group( - name=f"Iteration_0_{comp}" - ) - data_kwargs[f"{comp}_uncertainty"] = survey.find_or_create_property_group( - name=f"dB{comp}dt uncertainties" - ) - - orig_dBzdt = geoh5.get_entity("Iteration_0_z_[0]")[0].values - - # Run the inverse - params = TimeDomainElectromagneticsParams( - geoh5=geoh5, - mesh=mesh.uid, - topography_object=topography.uid, - resolution=0.0, - data_object=survey.uid, - starting_model=1e-3, - reference_model=1e-3, - chi_factor=1.0, - s_norm=2.0, - x_norm=2.0, - y_norm=2.0, - z_norm=2.0, - alpha_s=1e-4, - gradient_type="total", - z_from_topo=False, - lower_bound=2e-6, - upper_bound=1e2, - max_global_iterations=max_iterations, - initial_beta_ratio=1e2, - coolingRate=4, - max_cg_iterations=200, - prctile=5, - store_sensitivities="ram", - **data_kwargs, - ) - params.write_input_file(path=tmp_path, name="Inv_run") - - driver = TimeDomainElectromagneticsDriver.start(str(tmp_path / "Inv_run.ui.json")) - - with geoh5.open() as run_ws: - output = get_inversion_output( - driver.params.geoh5.h5file, driver.params.out_group.uid - ) - output["data"] = orig_dBzdt - if pytest: - check_target(output, target_run, tolerance=0.5) - nan_ind = np.isnan(run_ws.get_entity("Iteration_0_model")[0].values) - inactive_ind = run_ws.get_entity("active_cells")[0].values == 0 - assert np.all(nan_ind == inactive_ind) - - -if __name__ == "__main__": - # Full run - test_airborne_tem_fwr_run(Path("./"), n_grid_points=5, refinement=(0, 0, 4)) - test_airborne_tem_run( - Path("./"), - max_iterations=15, - pytest=False, - ) diff --git a/tests/run_tests/driver_dc_2d_test.py b/tests/run_tests/driver_dc_2d_test.py deleted file mode 100644 index 6fdbb130..00000000 --- a/tests/run_tests/driver_dc_2d_test.py +++ /dev/null @@ -1,149 +0,0 @@ -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' -# Copyright (c) 2023-2024 Mira Geoscience Ltd. -# All rights reserved. -# -# This file is part of simpeg-drivers. -# -# The software and information contained herein are proprietary to, and -# comprise valuable trade secrets of, Mira Geoscience, which -# intend to preserve as trade secrets such software and information. -# This software is furnished pursuant to a written license agreement and -# may be used, copied, transmitted, and stored only in accordance with -# the terms of such license and with the inclusion of the above copyright -# notice. This software and information or any other copies thereof may -# not be provided or otherwise made available to any other person. -# -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' - - -from __future__ import annotations - -from pathlib import Path - -import numpy as np -from geoh5py.workspace import Workspace - -from simpeg_drivers.electricals.direct_current.two_dimensions.driver import ( - DirectCurrent2DDriver, -) -from simpeg_drivers.electricals.direct_current.two_dimensions.params import ( - DirectCurrent2DParams, -) -from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace -from simpeg_drivers.utils.utils import get_inversion_output - -# To test the full run and validate the inversion. -# Move this file out of the test directory and run. - -target_run = { - "data_norm": 0.59563, - "phi_d": 1407, - "phi_m": 15.88, -} - - -def test_dc_2d_fwr_run( - tmp_path: Path, - n_electrodes=10, - n_lines=3, - refinement=(4, 6), -): - # Run the forward - geoh5, _, model, survey, topography = setup_inversion_workspace( - tmp_path, - background=0.01, - anomaly=10, - n_electrodes=n_electrodes, - n_lines=n_lines, - refinement=refinement, - inversion_type="dcip_2d", - drape_height=0.0, - flatten=False, - ) - params = DirectCurrent2DParams( - forward_only=True, - geoh5=geoh5, - u_cell_size=5.0, - v_cell_size=5.0, - depth_core=100.0, - horizontal_padding=100.0, - vertical_padding=100.0, - expansion_factor=1.1, - topography_object=topography.uid, - z_from_topo=False, - data_object=survey.uid, - starting_model=model.uid, - line_object=geoh5.get_entity("line_ids")[0].uid, - line_id=101, - ) - params.workpath = tmp_path - fwr_driver = DirectCurrent2DDriver(params) - fwr_driver.run() - - -def test_dc_2d_run(tmp_path: Path, max_iterations=1, pytest=True): - workpath = tmp_path / "inversion_test.ui.geoh5" - if pytest: - workpath = tmp_path.parent / "test_dc_2d_fwr_run0" / "inversion_test.ui.geoh5" - - with Workspace(workpath) as geoh5: - potential = geoh5.get_entity("Iteration_0_dc")[0] - topography = geoh5.get_entity("topography")[0] - - # Run the inverse - params = DirectCurrent2DParams( - geoh5=geoh5, - u_cell_size=5.0, - v_cell_size=5.0, - depth_core=100.0, - horizontal_padding=100.0, - vertical_padding=100.0, - expansion_factor=1.1, - topography_object=topography.uid, - data_object=potential.parent.uid, - potential_channel=potential.uid, - potential_uncertainty=1e-3, - line_object=geoh5.get_entity("line_ids")[0].uid, - line_id=101, - starting_model=1e-2, - reference_model=1e-2, - s_norm=0.0, - x_norm=1.0, - y_norm=1.0, - z_norm=1.0, - gradient_type="components", - potential_channel_bool=True, - z_from_topo=True, - max_global_iterations=max_iterations, - initial_beta=None, - initial_beta_ratio=1e0, - prctile=100, - upper_bound=10, - coolingRate=1, - ) - params.write_input_file(path=tmp_path, name="Inv_run") - - driver = DirectCurrent2DDriver.start(str(tmp_path / "Inv_run.ui.json")) - - output = get_inversion_output( - driver.params.geoh5.h5file, driver.params.out_group.uid - ) - if geoh5.open(): - output["data"] = potential.values[np.isfinite(potential.values)] - if pytest: - check_target(output, target_run) - - -if __name__ == "__main__": - # Full run - test_dc_2d_fwr_run( - Path("./"), - n_electrodes=20, - n_lines=3, - refinement=(4, 8), - ) - test_dc_2d_run( - Path("./"), - max_iterations=20, - pytest=False, - ) diff --git a/tests/run_tests/driver_dc_p3d_test.py b/tests/run_tests/driver_dc_p3d_test.py deleted file mode 100644 index 1b919513..00000000 --- a/tests/run_tests/driver_dc_p3d_test.py +++ /dev/null @@ -1,166 +0,0 @@ -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' -# Copyright (c) 2023-2024 Mira Geoscience Ltd. -# All rights reserved. -# -# This file is part of simpeg-drivers. -# -# The software and information contained herein are proprietary to, and -# comprise valuable trade secrets of, Mira Geoscience, which -# intend to preserve as trade secrets such software and information. -# This software is furnished pursuant to a written license agreement and -# may be used, copied, transmitted, and stored only in accordance with -# the terms of such license and with the inclusion of the above copyright -# notice. This software and information or any other copies thereof may -# not be provided or otherwise made available to any other person. -# -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' - - -from __future__ import annotations - -import json -from pathlib import Path - -from geoh5py.groups import SimPEGGroup -from geoh5py.workspace import Workspace - -from simpeg_drivers.electricals.direct_current.pseudo_three_dimensions.driver import ( - DirectCurrentPseudo3DDriver, -) -from simpeg_drivers.electricals.direct_current.pseudo_three_dimensions.params import ( - DirectCurrentPseudo3DParams, -) -from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace -from simpeg_drivers.utils.utils import get_inversion_output - -# To test the full run and validate the inversion. -# Move this file out of the test directory and run. - -target_run = {"data_norm": 1.099, "phi_d": 4328, "phi_m": 1.217} - - -def test_dc_p3d_fwr_run( - tmp_path: Path, - n_electrodes=10, - n_lines=3, - refinement=(4, 6), -): - # Run the forward - geoh5, _, model, survey, topography = setup_inversion_workspace( - tmp_path, - background=0.01, - anomaly=10, - n_electrodes=n_electrodes, - n_lines=n_lines, - refinement=refinement, - inversion_type="dcip", - drape_height=0.0, - flatten=False, - ) - params = DirectCurrentPseudo3DParams( - forward_only=True, - geoh5=geoh5, - mesh=model.parent.uid, - u_cell_size=5.0, - v_cell_size=5.0, - depth_core=100.0, - expansion_factor=1.1, - padding_distance=100.0, - topography_object=topography.uid, - z_from_topo=False, - data_object=survey.uid, - starting_model=model.uid, - line_object=geoh5.get_entity("line_ids")[0].uid, - cleanup=True, - ) - params.workpath = tmp_path - fwr_driver = DirectCurrentPseudo3DDriver(params) - fwr_driver.run() - - -def test_dc_p3d_run( - tmp_path: Path, - max_iterations=1, - pytest=True, -): - workpath = tmp_path / "inversion_test.ui.geoh5" - if pytest: - workpath = tmp_path.parent / "test_dc_p3d_fwr_run0" / "inversion_test.ui.geoh5" - - with Workspace(workpath) as geoh5: - potential = geoh5.get_entity("Iteration_0_dc")[0] - out_group = geoh5.get_entity("Line 1")[0].parent - mesh = out_group.get_entity("mesh")[0] # Finds the octree mesh - topography = geoh5.get_entity("topography")[0] - - # Run the inverse - params = DirectCurrentPseudo3DParams( - geoh5=geoh5, - mesh=mesh.uid, - u_cell_size=5.0, - v_cell_size=5.0, - depth_core=100.0, - expansion_factor=1.1, - padding_distance=100.0, - topography_object=topography.uid, - data_object=potential.parent.uid, - potential_channel=potential.uid, - potential_uncertainty=1e-3, - line_object=geoh5.get_entity("line_ids")[0].uid, - starting_model=1e-2, - reference_model=1e-2, - s_norm=0.0, - x_norm=1.0, - y_norm=1.0, - z_norm=1.0, - gradient_type="components", - potential_channel_bool=True, - z_from_topo=False, - max_global_iterations=max_iterations, - initial_beta=None, - initial_beta_ratio=10.0, - prctile=100, - upper_bound=10, - coolingRate=1, - cleanup=False, - ) - params.write_input_file(path=tmp_path, name="Inv_run") - - driver = DirectCurrentPseudo3DDriver.start(str(tmp_path / "Inv_run.ui.json")) - - basepath = workpath.parent - with open(basepath / "lookup.json", encoding="utf8") as f: - lookup = json.load(f) - middle_line_id = [k for k, v in lookup.items() if v["line_id"] == 101][0] - - with Workspace(basepath / f"{middle_line_id}.ui.geoh5", mode="r") as workspace: - middle_inversion_group = [ - k for k in workspace.groups if isinstance(k, SimPEGGroup) - ][0] - filedata = middle_inversion_group.get_entity("SimPEG.out")[0] - - with driver.pseudo3d_params.out_group.workspace.open(mode="r+"): - filedata.copy(parent=driver.pseudo3d_params.out_group) - - output = get_inversion_output( - driver.pseudo3d_params.geoh5.h5file, driver.pseudo3d_params.out_group.uid - ) - if geoh5.open(): - output["data"] = potential.values - if pytest: - check_target(output, target_run) - - -if __name__ == "__main__": - # Full run - test_dc_p3d_fwr_run( - Path("./"), - n_electrodes=20, - n_lines=3, - refinement=(4, 8), - ) - test_dc_p3d_run( - Path("./"), - max_iterations=20, - pytest=False, - ) diff --git a/tests/run_tests/driver_dc_test.py b/tests/run_tests/driver_dc_test.py deleted file mode 100644 index d1ddb42c..00000000 --- a/tests/run_tests/driver_dc_test.py +++ /dev/null @@ -1,190 +0,0 @@ -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' -# Copyright (c) 2023-2024 Mira Geoscience Ltd. -# All rights reserved. -# -# This file is part of simpeg-drivers. -# -# The software and information contained herein are proprietary to, and -# comprise valuable trade secrets of, Mira Geoscience, which -# intend to preserve as trade secrets such software and information. -# This software is furnished pursuant to a written license agreement and -# may be used, copied, transmitted, and stored only in accordance with -# the terms of such license and with the inclusion of the above copyright -# notice. This software and information or any other copies thereof may -# not be provided or otherwise made available to any other person. -# -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' - -from __future__ import annotations - -from pathlib import Path - -import numpy as np -from geoh5py.workspace import Workspace - -from simpeg_drivers.electricals.direct_current.three_dimensions import ( - DirectCurrent3DParams, -) -from simpeg_drivers.electricals.direct_current.three_dimensions.driver import ( - DirectCurrent3DDriver, -) -from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace -from simpeg_drivers.utils.utils import get_inversion_output - -# To test the full run and validate the inversion. -# Move this file out of the test directory and run. - -target_run = {"data_norm": 0.15258, "phi_d": 32.28, "phi_m": 242.3} - - -def test_dc_3d_fwr_run( - tmp_path: Path, - n_electrodes=4, - n_lines=3, - refinement=(4, 6), -): - # Run the forward - geoh5, _, model, survey, topography = setup_inversion_workspace( - tmp_path, - background=0.01, - anomaly=10, - n_electrodes=n_electrodes, - n_lines=n_lines, - refinement=refinement, - drape_height=0.0, - inversion_type="dcip", - flatten=False, - ) - - # Randomly flip order of receivers - old = np.random.randint(0, survey.cells.shape[0], n_electrodes) - indices = np.ones(survey.cells.shape[0], dtype=bool) - indices[old] = False - - tx_id = np.r_[survey.ab_cell_id.values[indices], survey.ab_cell_id.values[~indices]] - cells = np.vstack([survey.cells[indices, :], survey.cells[~indices, :]]) - - survey.ab_cell_id = tx_id - survey.cells = cells - - geoh5.close() - - params = DirectCurrent3DParams( - forward_only=True, - geoh5=geoh5, - mesh=model.parent.uid, - topography_object=topography.uid, - z_from_topo=False, - data_object=survey.uid, - starting_model=model.uid, - resolution=None, - ) - params.workpath = tmp_path - fwr_driver = DirectCurrent3DDriver(params) - fwr_driver.run() - - -def test_dc_3d_run( - tmp_path: Path, - max_iterations=1, - pytest=True, - n_lines=3, -): - workpath = tmp_path / "inversion_test.ui.geoh5" - if pytest: - workpath = tmp_path.parent / "test_dc_3d_fwr_run0" / "inversion_test.ui.geoh5" - - with Workspace(workpath) as geoh5: - potential = geoh5.get_entity("Iteration_0_dc")[0] - mesh = geoh5.get_entity("mesh")[0] - topography = geoh5.get_entity("topography")[0] - - # Run the inverse - params = DirectCurrent3DParams( - geoh5=geoh5, - mesh=mesh.uid, - topography_object=topography.uid, - data_object=potential.parent.uid, - starting_model=1e-2, - reference_model=1e-2, - s_norm=0.0, - x_norm=1.0, - y_norm=1.0, - z_norm=1.0, - gradient_type="components", - potential_channel_bool=True, - z_from_topo=False, - potential_channel=potential.uid, - potential_uncertainty=1e-3, - max_global_iterations=max_iterations, - initial_beta=None, - initial_beta_ratio=10.0, - prctile=100, - upper_bound=10, - tile_spatial=n_lines, - store_sensitivities="ram", - coolingRate=1, - chi_factor=0.5, - ) - params.write_input_file(path=tmp_path, name="Inv_run") - - driver = DirectCurrent3DDriver.start(str(tmp_path / "Inv_run.ui.json")) - - output = get_inversion_output( - driver.params.geoh5.h5file, driver.params.out_group.uid - ) - if geoh5.open(): - output["data"] = potential.values - if pytest: - check_target(output, target_run) - - -def test_dc_single_line_fwr_run( - tmp_path: Path, - n_electrodes=4, - n_lines=1, - refinement=(4, 6), -): - # Run the forward - geoh5, _, model, survey, topography = setup_inversion_workspace( - tmp_path, - background=0.01, - anomaly=10, - n_electrodes=n_electrodes, - n_lines=n_lines, - refinement=refinement, - drape_height=0.0, - inversion_type="dcip", - flatten=False, - ) - params = DirectCurrent3DParams( - forward_only=True, - geoh5=geoh5, - mesh=model.parent.uid, - topography_object=topography.uid, - z_from_topo=False, - data_object=survey.uid, - starting_model=model.uid, - resolution=None, - ) - params.workpath = tmp_path - fwr_driver = DirectCurrent3DDriver(params) - assert np.all(fwr_driver.window.window["size"] > 0) - - -if __name__ == "__main__": - # Full run - - test_dc_3d_fwr_run( - Path("./"), - n_electrodes=20, - n_lines=5, - refinement=(4, 8), - ) - - test_dc_3d_run( - Path("./"), - n_lines=5, - max_iterations=15, - pytest=False, - ) diff --git a/tests/run_tests/driver_fem_test.py b/tests/run_tests/driver_fem_test.py deleted file mode 100644 index 117f9afd..00000000 --- a/tests/run_tests/driver_fem_test.py +++ /dev/null @@ -1,183 +0,0 @@ -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' -# Copyright (c) 2023-2024 Mira Geoscience Ltd. -# All rights reserved. -# -# This file is part of simpeg-drivers. -# -# The software and information contained herein are proprietary to, and -# comprise valuable trade secrets of, Mira Geoscience, which -# intend to preserve as trade secrets such software and information. -# This software is furnished pursuant to a written license agreement and -# may be used, copied, transmitted, and stored only in accordance with -# the terms of such license and with the inclusion of the above copyright -# notice. This software and information or any other copies thereof may -# not be provided or otherwise made available to any other person. -# -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' - -# pylint: disable=too-many-locals - -from __future__ import annotations - -from pathlib import Path - -import numpy as np -from geoh5py import Workspace - -from simpeg_drivers.electromagnetics.frequency_domain.driver import ( - FrequencyDomainElectromagneticsDriver, -) -from simpeg_drivers.electromagnetics.frequency_domain.params import ( - FrequencyDomainElectromagneticsParams, -) -from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace -from simpeg_drivers.utils.utils import get_inversion_output - -# To test the full run and validate the inversion. -# Move this file out of the test directory and run. - -target_run = {"data_norm": 47.522882323952054, "phi_d": 364.5, "phi_m": 883.8} - - -def test_fem_fwr_run( - tmp_path: Path, - n_grid_points=3, - refinement=(2,), -): - # Run the forward - geoh5, _, model, survey, topography = setup_inversion_workspace( - tmp_path, - background=1e-3, - anomaly=1.0, - n_electrodes=n_grid_points, - n_lines=n_grid_points, - refinement=refinement, - drape_height=15.0, - padding_distance=400, - inversion_type="fem", - flatten=True, - ) - params = FrequencyDomainElectromagneticsParams( - forward_only=True, - geoh5=geoh5, - mesh=model.parent.uid, - topography_object=topography.uid, - resolution=0.0, - z_from_topo=False, - data_object=survey.uid, - starting_model=model.uid, - z_real_channel_bool=True, - z_imag_channel_bool=True, - ) - params.workpath = tmp_path - fwr_driver = FrequencyDomainElectromagneticsDriver(params) - fwr_driver.run() - geoh5.close() - - -def test_fem_run(tmp_path: Path, max_iterations=1, pytest=True): - workpath = tmp_path / "inversion_test.ui.geoh5" - if pytest: - workpath = tmp_path.parent / "test_fem_fwr_run0" / "inversion_test.ui.geoh5" - - with Workspace(workpath) as geoh5: - survey = geoh5.get_entity("Airborne_rx")[0].copy(copy_children=False) - mesh = geoh5.get_entity("mesh")[0] - topography = geoh5.get_entity("topography")[0] - data = {} - uncertainties = {} - components = { - "z_real": "z_real", - "z_imag": "z_imag", - } - - for comp, cname in components.items(): - data[cname] = [] - uncertainties[f"{cname} uncertainties"] = [] - for ind, freq in enumerate(survey.channels): - data_entity = geoh5.get_entity(f"Iteration_0_{comp}_[{ind}]")[0].copy( - parent=survey - ) - data[cname].append(data_entity) - abs_val = np.abs(data_entity.values) - uncert = survey.add_data( - { - f"uncertainty_{comp}_[{ind}]": { - "values": np.ones_like(abs_val) - * freq - / 200.0 # * 2**(np.abs(ind-1)) - } - } - ) - uncertainties[f"{cname} uncertainties"].append( - uncert.copy(parent=survey) - ) - - data_groups = survey.add_components_data(data) - uncert_groups = survey.add_components_data(uncertainties) - - data_kwargs = {} - for comp, data_group, uncert_group in zip( - components, data_groups, uncert_groups - ): - data_kwargs[f"{comp}_channel"] = data_group.uid - data_kwargs[f"{comp}_uncertainty"] = uncert_group.uid - - orig_z_real_1 = geoh5.get_entity("Iteration_0_z_real_[0]")[0].values - - # Run the inverse - params = FrequencyDomainElectromagneticsParams( - geoh5=geoh5, - mesh=mesh.uid, - topography_object=topography.uid, - resolution=0.0, - data_object=survey.uid, - starting_model=1e-3, - reference_model=1e-3, - alpha_s=0.0, - s_norm=0.0, - x_norm=0.0, - y_norm=0.0, - z_norm=0.0, - gradient_type="components", - z_from_topo=False, - upper_bound=0.75, - max_global_iterations=max_iterations, - initial_beta_ratio=1e1, - prctile=100, - coolingRate=3, - chi_factor=0.25, - store_sensitivities="ram", - sens_wts_threshold=1.0, - **data_kwargs, - ) - params.write_input_file(path=tmp_path, name="Inv_run") - driver = FrequencyDomainElectromagneticsDriver(params) - driver.run() - - with geoh5.open() as run_ws: - output = get_inversion_output( - driver.params.geoh5.h5file, driver.params.out_group.uid - ) - output["data"] = orig_z_real_1 - - assert ( - run_ws.get_entity("Iteration_1_z_imag_[1]")[0].entity_type.uid - == run_ws.get_entity("Observed_z_imag_[1]")[0].entity_type.uid - ) - - if pytest: - check_target(output, target_run, tolerance=0.5) - nan_ind = np.isnan(run_ws.get_entity("Iteration_0_model")[0].values) - inactive_ind = run_ws.get_entity("active_cells")[0].values == 0 - assert np.all(nan_ind == inactive_ind) - - -if __name__ == "__main__": - # Full run - test_fem_fwr_run(Path("./"), n_grid_points=5, refinement=(4, 4, 4)) - test_fem_run( - Path("./"), - max_iterations=15, - pytest=False, - ) diff --git a/tests/run_tests/driver_grav_test.py b/tests/run_tests/driver_grav_test.py deleted file mode 100644 index e5309a5c..00000000 --- a/tests/run_tests/driver_grav_test.py +++ /dev/null @@ -1,153 +0,0 @@ -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' -# Copyright (c) 2023-2024 Mira Geoscience Ltd. -# All rights reserved. -# -# This file is part of simpeg-drivers. -# -# The software and information contained herein are proprietary to, and -# comprise valuable trade secrets of, Mira Geoscience, which -# intend to preserve as trade secrets such software and information. -# This software is furnished pursuant to a written license agreement and -# may be used, copied, transmitted, and stored only in accordance with -# the terms of such license and with the inclusion of the above copyright -# notice. This software and information or any other copies thereof may -# not be provided or otherwise made available to any other person. -# -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' - -from __future__ import annotations - -from pathlib import Path - -import numpy as np -from geoh5py.workspace import Workspace - -from simpeg_drivers.potential_fields import GravityParams -from simpeg_drivers.potential_fields.gravity.driver import GravityDriver -from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace -from simpeg_drivers.utils.utils import get_inversion_output - -# To test the full run and validate the inversion. -# Move this file out of the test directory and run. - -target_run = {"data_norm": 0.0028055269276044915, "phi_d": 4.158e-05, "phi_m": 0.002882} - - -def test_gravity_fwr_run( - tmp_path: Path, - n_grid_points=2, - refinement=(2,), -): - # Run the forward - geoh5, _, model, survey, topography = setup_inversion_workspace( - tmp_path, - background=0.0, - anomaly=0.75, - n_electrodes=n_grid_points, - n_lines=n_grid_points, - refinement=refinement, - flatten=False, - ) - params = GravityParams( - forward_only=True, - geoh5=geoh5, - mesh=model.parent.uid, - topography_object=topography.uid, - z_from_topo=False, - data_object=survey.uid, - starting_model=model.uid, - ) - fwr_driver = GravityDriver(params) - fwr_driver.run() - - -def test_gravity_run( - tmp_path: Path, - max_iterations=1, - pytest=True, -): - workpath = tmp_path / "inversion_test.ui.geoh5" - if pytest: - workpath = tmp_path.parent / "test_gravity_fwr_run0" / "inversion_test.ui.geoh5" - - with Workspace(workpath) as geoh5: - gz = geoh5.get_entity("Iteration_0_gz")[0] - orig_gz = gz.values.copy() - mesh = geoh5.get_entity("mesh")[0] - topography = geoh5.get_entity("topography")[0] - - # Turn some values to nan - values = gz.values.copy() - values[0] = np.nan - gz.values = values - - # Run the inverse - params = GravityParams( - geoh5=geoh5, - mesh=mesh.uid, - topography_object=topography.uid, - data_object=gz.parent.uid, - starting_model=1e-4, - reference_model=0.0, - s_norm=0.0, - x_norm=0.0, - y_norm=0.0, - z_norm=0.0, - gradient_type="components", - gz_channel_bool=True, - z_from_topo=False, - gz_channel=gz.uid, - gz_uncertainty=2e-3, - lower_bound=0.0, - max_global_iterations=max_iterations, - initial_beta_ratio=1e-2, - prctile=100, - store_sensitivities="ram", - ) - params.write_input_file(path=tmp_path, name="Inv_run") - - driver = GravityDriver.start(str(tmp_path / "Inv_run.ui.json")) - - assert driver.params.data_object.uid != gz.parent.uid - assert driver.models.upper_bound is np.inf - - with Workspace(driver.params.geoh5.h5file) as run_ws: - output = get_inversion_output( - driver.params.geoh5.h5file, driver.params.out_group.uid - ) - - residual = run_ws.get_entity("Iteration_1_gz_Residual")[0] - assert np.isnan(residual.values).sum() == 1, "Number of nan residuals differ." - - predicted = [ - pred - for pred in run_ws.get_entity("Iteration_0_gz") - if pred.parent.parent.name == "Gravity Inversion" - ][0] - assert not any( - np.isnan(predicted.values) - ), "Predicted data should not have nans." - output["data"] = orig_gz - - assert len(run_ws.get_entity("SimPEG.log")) == 2 - - if pytest: - check_target(output, target_run) - nan_ind = np.isnan(run_ws.get_entity("Iteration_0_model")[0].values) - inactive_ind = run_ws.get_entity("active_cells")[0].values == 0 - assert np.all(nan_ind == inactive_ind) - - -if __name__ == "__main__": - # Full run - test_gravity_fwr_run( - Path("./"), - n_grid_points=20, - refinement=(4, 8), - ) - - test_gravity_run( - Path("./"), - max_iterations=15, - pytest=False, - ) diff --git a/tests/run_tests/driver_ground_tem_test.py b/tests/run_tests/driver_ground_tem_test.py deleted file mode 100644 index adf11f4a..00000000 --- a/tests/run_tests/driver_ground_tem_test.py +++ /dev/null @@ -1,227 +0,0 @@ -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' -# Copyright (c) 2023-2024 Mira Geoscience Ltd. -# All rights reserved. -# -# This file is part of simpeg-drivers. -# -# The software and information contained herein are proprietary to, and -# comprise valuable trade secrets of, Mira Geoscience, which -# intend to preserve as trade secrets such software and information. -# This software is furnished pursuant to a written license agreement and -# may be used, copied, transmitted, and stored only in accordance with -# the terms of such license and with the inclusion of the above copyright -# notice. This software and information or any other copies thereof may -# not be provided or otherwise made available to any other person. -# -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' - -from __future__ import annotations - -from pathlib import Path - -import numpy as np -from geoh5py.workspace import Workspace - -from simpeg_drivers.electromagnetics.time_domain import TimeDomainElectromagneticsParams -from simpeg_drivers.electromagnetics.time_domain.driver import ( - TimeDomainElectromagneticsDriver, -) -from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace -from simpeg_drivers.utils.utils import get_inversion_output - -# To test the full run and validate the inversion. -# Move this file out of the test directory and run. - -target_run = { - "data_norm": 5.95181e-7, - "phi_d": 43.29, - "phi_m": 443.1, -} - - -def test_tiling_ground_tem( - tmp_path: Path, - n_grid_points=4, - refinement=(2,), -): - # Run the forward - geoh5, _, model, survey, topography = setup_inversion_workspace( - tmp_path, - background=0.001, - anomaly=1.0, - n_electrodes=n_grid_points, - n_lines=n_grid_points, - refinement=refinement, - inversion_type="ground_tem", - drape_height=5.0, - padding_distance=1000.0, - flatten=True, - ) - - params = TimeDomainElectromagneticsParams( - forward_only=True, - geoh5=geoh5, - mesh=model.parent.uid, - topography_object=topography.uid, - resolution=0.0, - z_from_topo=False, - data_object=survey.uid, - starting_model=model.uid, - x_channel_bool=True, - y_channel_bool=True, - z_channel_bool=True, - tile_spatial=4, - ) - fwr_driver = TimeDomainElectromagneticsDriver(params) - - tiles = fwr_driver.get_tiles() - - assert len(tiles) == 4 - - for tile in tiles: - assert len(np.unique(survey.tx_id_property.values[tile])) == 1 - - fwr_driver.run() - - -def test_ground_tem_fwr_run( - tmp_path: Path, - n_grid_points=4, - refinement=(2,), -): - # Run the forward - geoh5, _, model, survey, topography = setup_inversion_workspace( - tmp_path, - background=0.001, - anomaly=1.0, - n_electrodes=n_grid_points, - n_lines=n_grid_points, - refinement=refinement, - inversion_type="ground_tem", - drape_height=5.0, - padding_distance=1000.0, - flatten=True, - ) - params = TimeDomainElectromagneticsParams( - forward_only=True, - geoh5=geoh5, - mesh=model.parent.uid, - topography_object=topography.uid, - resolution=0.0, - z_from_topo=False, - data_object=survey.uid, - starting_model=model.uid, - x_channel_bool=True, - y_channel_bool=True, - z_channel_bool=True, - ) - params.workpath = tmp_path - fwr_driver = TimeDomainElectromagneticsDriver(params) - fwr_driver.run() - - -def test_ground_tem_run(tmp_path: Path, max_iterations=1, pytest=True): - workpath = tmp_path / "inversion_test.ui.geoh5" - if pytest: - workpath = ( - tmp_path.parent / "test_ground_tem_fwr_run0" / "inversion_test.ui.geoh5" - ) - - with Workspace(workpath) as geoh5: - simpeg_group = geoh5.get_entity("Tdem Forward")[0] - survey = simpeg_group.get_entity("Ground TEM Rx")[0] - mesh = geoh5.get_entity("mesh")[0] - topography = geoh5.get_entity("topography")[0] - - data = {} - uncertainties = {} - components = { - "z": "dBzdt", - } - - for comp, cname in components.items(): - data[cname] = [] - uncertainties[f"{cname} uncertainties"] = [] - for ii, _ in enumerate(survey.channels): - data_entity = geoh5.get_entity(f"Iteration_0_{comp}_[{ii}]")[0].copy( - parent=survey - ) - data[cname].append(data_entity) - - uncert = survey.add_data( - { - f"uncertainty_{comp}_[{ii}]": { - "values": np.ones_like(data_entity.values) - * np.median(np.abs(data_entity.values)) - / 2.0 - } - } - ) - uncertainties[f"{cname} uncertainties"].append(uncert) - - survey.add_components_data(data) - survey.add_components_data(uncertainties) - - data_kwargs = {} - for comp in components: - data_kwargs[f"{comp}_channel"] = survey.find_or_create_property_group( - name=f"Iteration_0_{comp}" - ) - data_kwargs[f"{comp}_uncertainty"] = survey.find_or_create_property_group( - name=f"dB{comp}dt uncertainties" - ) - - orig_dBzdt = geoh5.get_entity("Iteration_0_z_[0]")[0].values - - # Run the inverse - params = TimeDomainElectromagneticsParams( - geoh5=geoh5, - mesh=mesh.uid, - topography_object=topography.uid, - resolution=0.0, - data_object=survey.uid, - starting_model=1e-3, - reference_model=1e-3, - chi_factor=0.1, - s_norm=2.0, - x_norm=2.0, - y_norm=2.0, - z_norm=2.0, - alpha_s=0e-1, - gradient_type="total", - z_from_topo=False, - lower_bound=2e-6, - upper_bound=1e2, - max_global_iterations=max_iterations, - initial_beta_ratio=1e1, - coolingRate=2, - max_cg_iterations=200, - prctile=100, - # sens_wts_threshold=1., - store_sensitivities="ram", - **data_kwargs, - ) - params.write_input_file(path=tmp_path, name="Inv_run") - - driver = TimeDomainElectromagneticsDriver.start(str(tmp_path / "Inv_run.ui.json")) - - with geoh5.open() as run_ws: - output = get_inversion_output( - driver.params.geoh5.h5file, driver.params.out_group.uid - ) - output["data"] = orig_dBzdt - if pytest: - check_target(output, target_run, tolerance=0.5) - nan_ind = np.isnan(run_ws.get_entity("Iteration_0_model")[0].values) - inactive_ind = run_ws.get_entity("active_cells")[0].values == 0 - assert np.all(nan_ind == inactive_ind) - - -if __name__ == "__main__": - # Full run - test_ground_tem_fwr_run(Path("./"), n_grid_points=5, refinement=(2, 2, 2)) - test_ground_tem_run( - Path("./"), - max_iterations=15, - pytest=False, - ) diff --git a/tests/run_tests/driver_ip_2d_test.py b/tests/run_tests/driver_ip_2d_test.py deleted file mode 100644 index 4acd2438..00000000 --- a/tests/run_tests/driver_ip_2d_test.py +++ /dev/null @@ -1,141 +0,0 @@ -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' -# Copyright (c) 2023-2024 Mira Geoscience Ltd. -# All rights reserved. -# -# This file is part of simpeg-drivers. -# -# The software and information contained herein are proprietary to, and -# comprise valuable trade secrets of, Mira Geoscience, which -# intend to preserve as trade secrets such software and information. -# This software is furnished pursuant to a written license agreement and -# may be used, copied, transmitted, and stored only in accordance with -# the terms of such license and with the inclusion of the above copyright -# notice. This software and information or any other copies thereof may -# not be provided or otherwise made available to any other person. -# -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' - -from __future__ import annotations - -from pathlib import Path - -import numpy as np -from geoh5py.workspace import Workspace - -from simpeg_drivers.electricals.induced_polarization.two_dimensions import ( - InducedPolarization2DParams, -) -from simpeg_drivers.electricals.induced_polarization.two_dimensions.driver import ( - InducedPolarization2DDriver, -) -from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace -from simpeg_drivers.utils.utils import get_inversion_output - -# To test the full run and validate the inversion. -# Move this file out of the test directory and run. - -target_run = {"data_norm": 0.09141, "phi_d": 9643, "phi_m": 0.1699} - - -def test_ip_2d_fwr_run( - tmp_path: Path, - n_electrodes=10, - n_lines=3, - refinement=(4, 6), -): - # Run the forward - geoh5, _, model, survey, topography = setup_inversion_workspace( - tmp_path, - background=1e-6, - anomaly=1e-1, - n_electrodes=n_electrodes, - n_lines=n_lines, - refinement=refinement, - inversion_type="dcip_2d", - flatten=False, - drape_height=0.0, - ) - params = InducedPolarization2DParams( - forward_only=True, - geoh5=geoh5, - mesh=model.parent.uid, - topography_object=topography.uid, - z_from_topo=True, - data_object=survey.uid, - starting_model=model.uid, - conductivity_model=1e-2, - line_object=geoh5.get_entity("line_ids")[0].uid, - line_id=101, - ) - params.workpath = tmp_path - fwr_driver = InducedPolarization2DDriver(params) - fwr_driver.run() - - -def test_ip_2d_run( - tmp_path: Path, - max_iterations=1, - pytest=True, -): - workpath = tmp_path / "inversion_test.ui.geoh5" - if pytest: - workpath = tmp_path.parent / "test_ip_2d_fwr_run0" / "inversion_test.ui.geoh5" - - with Workspace(workpath) as geoh5: - chargeability = geoh5.get_entity("Iteration_0_ip")[0] - mesh = geoh5.get_entity("Models")[0] - topography = geoh5.get_entity("topography")[0] - - # Run the inverse - params = InducedPolarization2DParams( - geoh5=geoh5, - mesh=mesh.uid, - topography_object=topography.uid, - data_object=chargeability.parent.uid, - chargeability_channel=chargeability.uid, - chargeability_uncertainty=2e-4, - line_object=geoh5.get_entity("line_ids")[0].uid, - line_id=101, - starting_model=1e-6, - reference_model=1e-6, - conductivity_model=1e-2, - s_norm=0.0, - x_norm=0.0, - z_norm=0.0, - gradient_type="components", - chargeability_channel_bool=True, - z_from_topo=True, - max_global_iterations=max_iterations, - initial_beta=None, - initial_beta_ratio=1e0, - prctile=100, - upper_bound=0.1, - store_sensitivities="ram", - coolingRate=1, - ) - params.write_input_file(path=tmp_path, name="Inv_run") - - driver = InducedPolarization2DDriver.start(str(tmp_path / "Inv_run.ui.json")) - - output = get_inversion_output( - driver.params.geoh5.h5file, driver.params.out_group.uid - ) - if geoh5.open(): - output["data"] = chargeability.values[np.isfinite(chargeability.values)] - if pytest: - check_target(output, target_run) - - -if __name__ == "__main__": - # Full run - test_ip_2d_fwr_run( - Path("./"), - n_electrodes=20, - n_lines=3, - refinement=(4, 8), - ) - test_ip_2d_run( - Path("./"), - max_iterations=20, - pytest=False, - ) diff --git a/tests/run_tests/driver_ip_p3d_test.py b/tests/run_tests/driver_ip_p3d_test.py deleted file mode 100644 index 4613e30b..00000000 --- a/tests/run_tests/driver_ip_p3d_test.py +++ /dev/null @@ -1,168 +0,0 @@ -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' -# Copyright (c) 2023-2024 Mira Geoscience Ltd. -# All rights reserved. -# -# This file is part of simpeg-drivers. -# -# The software and information contained herein are proprietary to, and -# comprise valuable trade secrets of, Mira Geoscience, which -# intend to preserve as trade secrets such software and information. -# This software is furnished pursuant to a written license agreement and -# may be used, copied, transmitted, and stored only in accordance with -# the terms of such license and with the inclusion of the above copyright -# notice. This software and information or any other copies thereof may -# not be provided or otherwise made available to any other person. -# -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' - -from __future__ import annotations - -import json -from pathlib import Path - -from geoh5py.groups import SimPEGGroup -from geoh5py.workspace import Workspace - -from simpeg_drivers.electricals.induced_polarization.pseudo_three_dimensions.driver import ( - InducedPolarizationPseudo3DDriver, -) -from simpeg_drivers.electricals.induced_polarization.pseudo_three_dimensions.params import ( - InducedPolarizationPseudo3DParams, -) -from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace -from simpeg_drivers.utils.utils import get_inversion_output - -# To test the full run and validate the inversion. -# Move this file out of the test directory and run. - -target_run = {"data_norm": 0.08768, "phi_d": 9644, "phi_m": 0.216} - - -def test_ip_p3d_fwr_run( - tmp_path: Path, - n_electrodes=10, - n_lines=3, - refinement=(4, 6), -): - # Run the forward - geoh5, _, model, survey, topography = setup_inversion_workspace( - tmp_path, - background=1e-6, - anomaly=1e-1, - n_electrodes=n_electrodes, - n_lines=n_lines, - refinement=refinement, - inversion_type="dcip", - drape_height=0.0, - flatten=False, - ) - - params = InducedPolarizationPseudo3DParams( - forward_only=True, - geoh5=geoh5, - mesh=model.parent.uid, - u_cell_size=5.0, - v_cell_size=5.0, - depth_core=100.0, - expansion_factor=1.1, - padding_distance=100.0, - topography_object=topography.uid, - z_from_topo=True, - data_object=survey.uid, - conductivity_model=1e-2, - starting_model=model.uid, - line_object=geoh5.get_entity("line_ids")[0].uid, - cleanup=True, - ) - params.workpath = tmp_path - fwr_driver = InducedPolarizationPseudo3DDriver(params) - fwr_driver.run() - - -def test_ip_p3d_run( - tmp_path, - max_iterations=1, - pytest=True, -): - workpath = tmp_path / "inversion_test.ui.geoh5" - if pytest: - workpath = tmp_path.parent / "test_ip_p3d_fwr_run0" / "inversion_test.ui.geoh5" - - with Workspace(workpath) as geoh5: - chargeability = geoh5.get_entity("Iteration_0_ip")[0] - out_group = geoh5.get_entity("Line 1")[0].parent - mesh = out_group.get_entity("mesh")[0] # Finds the octree mesh - topography = geoh5.get_entity("topography")[0] - - # Run the inverse - params = InducedPolarizationPseudo3DParams( - geoh5=geoh5, - mesh=mesh.uid, - u_cell_size=5.0, - v_cell_size=5.0, - depth_core=100.0, - expansion_factor=1.1, - padding_distance=100.0, - topography_object=topography.uid, - data_object=chargeability.parent.uid, - chargeability_channel=chargeability.uid, - chargeability_uncertainty=2e-4, - line_object=geoh5.get_entity("line_ids")[0].uid, - conductivity_model=1e-2, - starting_model=1e-6, - reference_model=1e-6, - s_norm=0.0, - x_norm=0.0, - y_norm=0.0, - z_norm=0.0, - gradient_type="components", - chargeability_channel_bool=True, - z_from_topo=True, - max_global_iterations=max_iterations, - initial_beta=None, - initial_beta_ratio=1e0, - prctile=100, - upper_bound=0.1, - coolingRate=1, - cleanup=False, - ) - params.write_input_file(path=tmp_path, name="Inv_run") - - driver = InducedPolarizationPseudo3DDriver.start(str(tmp_path / "Inv_run.ui.json")) - - basepath = workpath.parent - with open(basepath / "lookup.json", encoding="utf8") as f: - lookup = json.load(f) - middle_line_id = [k for k, v in lookup.items() if v["line_id"] == 101][0] - - with Workspace(basepath / f"{middle_line_id}.ui.geoh5", mode="r") as workspace: - middle_inversion_group = [ - k for k in workspace.groups if isinstance(k, SimPEGGroup) - ][0] - filedata = middle_inversion_group.get_entity("SimPEG.out")[0] - - with driver.pseudo3d_params.out_group.workspace.open(mode="r+"): - filedata.copy(parent=driver.pseudo3d_params.out_group) - - output = get_inversion_output( - driver.pseudo3d_params.geoh5.h5file, driver.pseudo3d_params.out_group.uid - ) - if geoh5.open(): - output["data"] = chargeability.values - if pytest: - check_target(output, target_run) - - -if __name__ == "__main__": - # Full run - test_ip_p3d_fwr_run( - Path("./"), - n_electrodes=20, - n_lines=3, - refinement=(4, 8), - ) - test_ip_p3d_run( - Path("./"), - max_iterations=20, - pytest=False, - ) diff --git a/tests/run_tests/driver_ip_test.py b/tests/run_tests/driver_ip_test.py deleted file mode 100644 index 1e709ff8..00000000 --- a/tests/run_tests/driver_ip_test.py +++ /dev/null @@ -1,139 +0,0 @@ -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' -# Copyright (c) 2023-2024 Mira Geoscience Ltd. -# All rights reserved. -# -# This file is part of simpeg-drivers. -# -# The software and information contained herein are proprietary to, and -# comprise valuable trade secrets of, Mira Geoscience, which -# intend to preserve as trade secrets such software and information. -# This software is furnished pursuant to a written license agreement and -# may be used, copied, transmitted, and stored only in accordance with -# the terms of such license and with the inclusion of the above copyright -# notice. This software and information or any other copies thereof may -# not be provided or otherwise made available to any other person. -# -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' - -from __future__ import annotations - -from pathlib import Path - -from geoh5py.workspace import Workspace - -from simpeg_drivers.electricals.induced_polarization.three_dimensions import ( - InducedPolarization3DParams, -) -from simpeg_drivers.electricals.induced_polarization.three_dimensions.driver import ( - InducedPolarization3DDriver, -) -from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace -from simpeg_drivers.utils.utils import get_inversion_output - -# To test the full run and validate the inversion. -# Move this file out of the test directory and run. - -target_run = {"data_norm": 0.008494, "phi_d": 1.675, "phi_m": 0.6426} - - -def test_ip_3d_fwr_run( - tmp_path: Path, - n_electrodes=4, - n_lines=3, - refinement=(4, 6), -): - # Run the forward - geoh5, _, model, survey, topography = setup_inversion_workspace( - tmp_path, - background=1e-6, - anomaly=1e-1, - n_electrodes=n_electrodes, - n_lines=n_lines, - refinement=refinement, - drape_height=0.0, - inversion_type="dcip", - flatten=False, - ) - params = InducedPolarization3DParams( - forward_only=True, - geoh5=geoh5, - mesh=model.parent.uid, - topography_object=topography.uid, - z_from_topo=True, - data_object=survey.uid, - starting_model=model.uid, - conductivity_model=1e-2, - ) - params.workpath = tmp_path - fwr_driver = InducedPolarization3DDriver(params) - fwr_driver.run() - - -def test_ip_3d_run( - tmp_path: Path, - max_iterations=1, - pytest=True, - n_lines=3, -): - workpath = tmp_path / "inversion_test.ui.geoh5" - if pytest: - workpath = tmp_path.parent / "test_ip_3d_fwr_run0" / "inversion_test.ui.geoh5" - - with Workspace(workpath) as geoh5: - potential = geoh5.get_entity("Iteration_0_ip")[0] - mesh = geoh5.get_entity("mesh")[0] - topography = geoh5.get_entity("topography")[0] - - # Run the inverse - params = InducedPolarization3DParams( - geoh5=geoh5, - mesh=mesh.uid, - topography_object=topography.uid, - data_object=potential.parent.uid, - conductivity_model=1e-2, - reference_model=1e-6, - starting_model=1e-6, - s_norm=0.0, - x_norm=0.0, - y_norm=0.0, - z_norm=0.0, - gradient_type="components", - chargeability_channel_bool=True, - z_from_topo=False, - chargeability_channel=potential.uid, - chargeability_uncertainty=2e-4, - max_global_iterations=max_iterations, - initial_beta=None, - initial_beta_ratio=1e0, - prctile=100, - upper_bound=0.1, - tile_spatial=n_lines, - store_sensitivities="ram", - coolingRate=1, - ) - params.write_input_file(path=tmp_path, name="Inv_run") - driver = InducedPolarization3DDriver.start(str(tmp_path / "Inv_run.ui.json")) - - output = get_inversion_output( - driver.params.geoh5.h5file, driver.params.out_group.uid - ) - if geoh5.open(): - output["data"] = potential.values - if pytest: - check_target(output, target_run) - - -if __name__ == "__main__": - # Full run - test_ip_3d_fwr_run( - Path("./"), - n_electrodes=20, - n_lines=5, - refinement=(4, 8), - ) - test_ip_3d_run( - Path("./"), - n_lines=5, - max_iterations=15, - pytest=False, - ) diff --git a/tests/run_tests/driver_joint_cross_gradient_test.py b/tests/run_tests/driver_joint_cross_gradient_test.py deleted file mode 100644 index 4a92bf65..00000000 --- a/tests/run_tests/driver_joint_cross_gradient_test.py +++ /dev/null @@ -1,276 +0,0 @@ -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' -# Copyright (c) 2023-2024 Mira Geoscience Ltd. -# All rights reserved. -# -# This file is part of simpeg-drivers. -# -# The software and information contained herein are proprietary to, and -# comprise valuable trade secrets of, Mira Geoscience, which -# intend to preserve as trade secrets such software and information. -# This software is furnished pursuant to a written license agreement and -# may be used, copied, transmitted, and stored only in accordance with -# the terms of such license and with the inclusion of the above copyright -# notice. This software and information or any other copies thereof may -# not be provided or otherwise made available to any other person. -# -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' - -from pathlib import Path - -import numpy as np -from geoh5py.data import FloatData -from geoh5py.groups import SimPEGGroup -from geoh5py.workspace import Workspace - -from simpeg_drivers.electricals.direct_current.three_dimensions import ( - DirectCurrent3DParams, -) -from simpeg_drivers.electricals.direct_current.three_dimensions.driver import ( - DirectCurrent3DDriver, -) -from simpeg_drivers.joint.joint_cross_gradient import JointCrossGradientParams -from simpeg_drivers.joint.joint_cross_gradient.driver import JointCrossGradientDriver -from simpeg_drivers.potential_fields import GravityParams, MagneticVectorParams -from simpeg_drivers.potential_fields.gravity.driver import GravityDriver -from simpeg_drivers.potential_fields.magnetic_vector.driver import MagneticVectorDriver -from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace -from simpeg_drivers.utils.utils import get_inversion_output - -# To test the full run and validate the inversion. -# Move this file out of the test directory and run. - -target_run = {"data_norm": 53.29600188902931, "phi_d": 534.7, "phi_m": 0.2942} - - -def test_joint_cross_gradient_fwr_run( - tmp_path, - n_grid_points=4, - n_lines=3, - refinement=(2,), -): - # Create local problem A - geoh5, _, model, survey, topography = setup_inversion_workspace( - tmp_path, - background=0.0, - anomaly=0.75, - drape_height=15.0, - refinement=refinement, - n_electrodes=n_grid_points, - n_lines=n_grid_points, - ) - params = GravityParams( - forward_only=True, - geoh5=geoh5, - mesh=model.parent.uid, - topography_object=topography.uid, - resolution=0.0, - z_from_topo=False, - data_object=survey.uid, - starting_model=model.uid, - ) - fwr_driver_a = GravityDriver(params) - - _, _, model, survey, _ = setup_inversion_workspace( - tmp_path, - geoh5=geoh5, - background=0.0, - anomaly=0.05, - drape_height=15.0, - refinement=refinement, - n_electrodes=n_grid_points, - n_lines=n_grid_points, - flatten=False, - ) - inducing_field = (50000.0, 90.0, 0.0) - params = MagneticVectorParams( - forward_only=True, - geoh5=geoh5, - mesh=model.parent.uid, - topography_object=topography.uid, - inducing_field_strength=inducing_field[0], - inducing_field_inclination=inducing_field[1], - inducing_field_declination=inducing_field[2], - resolution=0.0, - z_from_topo=False, - data_object=survey.uid, - starting_model=model.uid, - ) - params.workpath = tmp_path - fwr_driver_b = MagneticVectorDriver(params) - - _, _, model, survey, _ = setup_inversion_workspace( - tmp_path, - geoh5=geoh5, - background=0.01, - anomaly=10, - n_electrodes=n_grid_points, - n_lines=n_lines, - refinement=refinement, - drape_height=0.0, - inversion_type="dcip", - flatten=False, - ) - params = DirectCurrent3DParams( - forward_only=True, - geoh5=geoh5, - mesh=model.parent.uid, - topography_object=topography.uid, - data_object=survey.uid, - starting_model=model.uid, - ) - fwr_driver_c = DirectCurrent3DDriver(params) - fwr_driver_c.inversion_data.entity.name = "survey" - - # Force co-location of meshes - for driver in [fwr_driver_b, fwr_driver_c]: - driver.inversion_mesh.entity.origin = fwr_driver_a.inversion_mesh.entity.origin - driver.workspace.update_attribute(driver.inversion_mesh.entity, "attributes") - driver.inversion_mesh._mesh = None # pylint: disable=protected-access - - fwr_driver_a.run() - fwr_driver_b.run() - fwr_driver_c.run() - - -def test_joint_cross_gradient_inv_run( - tmp_path, - max_iterations=1, - n_lines=3, - pytest=True, -): - workpath = tmp_path / "inversion_test.ui.geoh5" - if pytest: - workpath = ( - tmp_path.parent - / "test_joint_cross_gradient_fwr_0" - / "inversion_test.ui.geoh5" - ) - - with Workspace(workpath) as geoh5: - topography = geoh5.get_entity("topography")[0] - drivers = [] - orig_data = [] - - for group_name in [ - "Gravity Forward", - "Magnetic vector Forward", - "Direct current 3d Forward", - ]: - group = geoh5.get_entity(group_name)[0] - - if not isinstance(group, SimPEGGroup): - continue - - mesh = group.get_entity("mesh")[0] - survey = group.get_entity("survey")[0] - - data = None - for child in survey.children: - if isinstance(child, FloatData): - data = child - - if data is None: - raise ValueError("No data found in survey") - - orig_data.append(data.values) - - if group.options["inversion_type"] == "gravity": - params = GravityParams( - geoh5=geoh5, - mesh=mesh.uid, - alpha_s=0.0, - topography_object=topography.uid, - data_object=survey.uid, - gz_channel=data.uid, - gz_uncertainty=1e-3, - starting_model=0.0, - ) - drivers.append(GravityDriver(params)) - elif group.options["inversion_type"] == "direct current 3d": - params = DirectCurrent3DParams( - geoh5=geoh5, - mesh=mesh.uid, - alpha_s=0.0, - topography_object=topography.uid, - data_object=survey.uid, - potential_channel=data.uid, - potential_uncertainty=1e-3, - tile_spatial=n_lines, - starting_model=1e-2, - reference_model=1e-2, - ) - drivers.append(DirectCurrent3DDriver(params)) - else: - params = MagneticVectorParams( - geoh5=geoh5, - mesh=mesh.uid, - alpha_s=0.0, - topography_object=topography.uid, - inducing_field_strength=group.options["inducing_field_strength"][ - "value" - ], - inducing_field_inclination=group.options[ - "inducing_field_inclination" - ]["value"], - inducing_field_declination=group.options[ - "inducing_field_declination" - ]["value"], - data_object=survey.uid, - starting_model=1e-4, - reference_model=0.0, - tile_spatial=1, - tmi_channel=data.uid, - tmi_uncertainty=1e0, - ) - drivers.append(MagneticVectorDriver(params)) - - # Run the inverse - joint_params = JointCrossGradientParams( - geoh5=geoh5, - topography_object=topography.uid, - group_a=drivers[0].params.out_group, - group_a_multiplier=1e-2, - group_b=drivers[1].params.out_group, - group_b_multiplier=1e-2, - group_c=drivers[2].params.out_group, - max_global_iterations=max_iterations, - initial_beta_ratio=1e2, - cross_gradient_weight_a_b=5e0, - cross_gradient_weight_c_a=5e0, - cross_gradient_weight_c_b=5e0, - s_norm=0.0, - x_norm=0.0, - y_norm=0.0, - z_norm=0.0, - gradient_type="components", - prctile=100, - store_sensitivities="ram", - ) - - driver = JointCrossGradientDriver(joint_params) - driver.run() - - with Workspace(driver.params.geoh5.h5file): - output = get_inversion_output( - driver.params.geoh5.h5file, driver.params.out_group.uid - ) - - output["data"] = np.hstack(orig_data) - if pytest: - check_target(output, target_run) - - -if __name__ == "__main__": - # Full run - test_joint_cross_gradient_fwr_run( - Path("./"), - n_grid_points=16, - n_lines=5, - refinement=(4, 8), - ) - test_joint_cross_gradient_inv_run( - Path("./"), - max_iterations=20, - n_lines=5, - pytest=False, - ) diff --git a/tests/run_tests/driver_joint_surveys_test.py b/tests/run_tests/driver_joint_surveys_test.py deleted file mode 100644 index fc26fc9c..00000000 --- a/tests/run_tests/driver_joint_surveys_test.py +++ /dev/null @@ -1,188 +0,0 @@ -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' -# Copyright (c) 2023-2024 Mira Geoscience Ltd. -# All rights reserved. -# -# This file is part of simpeg-drivers. -# -# The software and information contained herein are proprietary to, and -# comprise valuable trade secrets of, Mira Geoscience, which -# intend to preserve as trade secrets such software and information. -# This software is furnished pursuant to a written license agreement and -# may be used, copied, transmitted, and stored only in accordance with -# the terms of such license and with the inclusion of the above copyright -# notice. This software and information or any other copies thereof may -# not be provided or otherwise made available to any other person. -# -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' - -from pathlib import Path - -import numpy as np -from geoh5py.objects import Octree -from geoh5py.workspace import Workspace - -from simpeg_drivers.joint.joint_surveys import JointSurveysParams -from simpeg_drivers.joint.joint_surveys.driver import JointSurveyDriver -from simpeg_drivers.potential_fields import GravityParams -from simpeg_drivers.potential_fields.gravity.driver import GravityDriver -from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace -from simpeg_drivers.utils.utils import get_inversion_output - -# To test the full run and validate the inversion. -# Move this file out of the test directory and run. - -target_run = {"data_norm": 0.2997791602206556, "phi_d": 705.3, "phi_m": 74.54} - - -def test_joint_surveys_fwr_run( - tmp_path, - n_grid_points=6, - refinement=(2,), -): - # Create local problem A - geoh5, _, model, survey, topography = setup_inversion_workspace( - tmp_path, - background=0.0, - anomaly=0.75, - refinement=refinement, - n_electrodes=n_grid_points, - n_lines=n_grid_points, - ) - params = GravityParams( - forward_only=True, - geoh5=geoh5, - mesh=model.parent.uid, - topography_object=topography.uid, - resolution=0.0, - z_from_topo=False, - data_object=survey.uid, - starting_model=model.uid, - ) - fwr_driver_a = GravityDriver(params) - fwr_driver_a.out_group.name = "Gravity Forward [0]" - - # Create local problem B - _, _, model, survey, _ = setup_inversion_workspace( - tmp_path, - background=0.0, - anomaly=0.75, - refinement=[0, 2], - n_electrodes=int(n_grid_points / 2), - n_lines=int(n_grid_points / 2), - flatten=False, - geoh5=geoh5, - drape_height=10.0, - ) - params = GravityParams( - forward_only=True, - geoh5=geoh5, - mesh=model.parent.uid, - topography_object=topography.uid, - resolution=0.0, - z_from_topo=False, - data_object=survey.uid, - starting_model=model.uid, - ) - fwr_driver_b = GravityDriver(params) - fwr_driver_b.out_group.name = "Gravity Forward [1]" - - # Force co-location of meshes - fwr_driver_b.inversion_mesh.entity.origin = ( - fwr_driver_a.inversion_mesh.entity.origin - ) - fwr_driver_b.workspace.update_attribute( - fwr_driver_b.inversion_mesh.entity, "attributes" - ) - fwr_driver_b.inversion_mesh._mesh = None # pylint: disable=protected-access - fwr_driver_a.run() - fwr_driver_b.run() - geoh5.close() - - -def test_joint_surveys_inv_run( - tmp_path, - max_iterations=1, - unittest=True, -): - workpath = tmp_path / "inversion_test.ui.geoh5" - if unittest: - workpath = ( - tmp_path.parent / "test_joint_surveys_fwr_run0" / "inversion_test.ui.geoh5" - ) - - with Workspace(workpath) as geoh5: - topography = geoh5.get_entity("topography")[0] - drivers = [] - orig_data = [] - mesh = None - for ind in range(2): - group = geoh5.get_entity(f"Gravity Forward [{ind}]")[0] - survey = geoh5.get_entity(group.options["data_object"]["value"])[0] - for child in group.children: - if isinstance(child, Octree): - mesh = child - else: - survey = child - - if mesh is None: - raise ValueError("No mesh found in the group.") - - gz = survey.get_data("Iteration_0_gz")[0] - orig_data.append(gz.values) - params = GravityParams( - geoh5=geoh5, - mesh=mesh.uid, - topography_object=topography.uid, - data_object=survey.uid, - gz_channel=gz.uid, - gz_uncertainty=np.var(gz.values) * 2.0, - starting_model=0.0, - ) - drivers.append(GravityDriver(params)) - - # Run the inverse - joint_params = JointSurveysParams( - geoh5=geoh5, - topography_object=topography.uid, - mesh=drivers[0].params.mesh, - group_a=drivers[0].params.out_group, - group_b=drivers[1].params.out_group, - starting_model=1e-4, - reference_model=0.0, - s_norm=0.0, - x_norm=0.0, - y_norm=0.0, - z_norm=0.0, - gradient_type="components", - lower_bound=0.0, - max_global_iterations=max_iterations, - initial_beta_ratio=1e-2, - prctile=100, - store_sensitivities="ram", - ) - - driver = JointSurveyDriver(joint_params) - driver.run() - - with Workspace(driver.params.geoh5.h5file): - output = get_inversion_output( - driver.params.geoh5.h5file, driver.params.out_group.uid - ) - output["data"] = np.hstack(orig_data) - - if unittest: - check_target(output, target_run) - - -if __name__ == "__main__": - # Full run - test_joint_surveys_fwr_run( - Path("./"), - n_grid_points=20, - refinement=(4, 8), - ) - test_joint_surveys_inv_run( - Path("./"), - max_iterations=20, - unittest=False, - ) diff --git a/tests/run_tests/driver_mag_test.py b/tests/run_tests/driver_mag_test.py deleted file mode 100644 index 3b341d69..00000000 --- a/tests/run_tests/driver_mag_test.py +++ /dev/null @@ -1,140 +0,0 @@ -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' -# Copyright (c) 2023-2024 Mira Geoscience Ltd. -# All rights reserved. -# -# This file is part of simpeg-drivers. -# -# The software and information contained herein are proprietary to, and -# comprise valuable trade secrets of, Mira Geoscience, which -# intend to preserve as trade secrets such software and information. -# This software is furnished pursuant to a written license agreement and -# may be used, copied, transmitted, and stored only in accordance with -# the terms of such license and with the inclusion of the above copyright -# notice. This software and information or any other copies thereof may -# not be provided or otherwise made available to any other person. -# -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' - -from __future__ import annotations - -from pathlib import Path - -import numpy as np -from geoh5py.workspace import Workspace - -from simpeg_drivers.potential_fields import MagneticScalarParams -from simpeg_drivers.potential_fields.magnetic_scalar.driver import MagneticScalarDriver -from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace -from simpeg_drivers.utils.utils import get_inversion_output - -# To test the full run and validate the inversion. -# Move this file out of the test directory and run. - -target_run = {"data_norm": 8.71227951689941, "phi_d": 18.76, "phi_m": 5.717e-06} - - -def test_susceptibility_fwr_run( - tmp_path: Path, - n_grid_points=2, - refinement=(2,), -): - inducing_field = (49999.8, 90.0, 0.0) - # Run the forward - geoh5, _, model, survey, topography = setup_inversion_workspace( - tmp_path, - background=0.0, - anomaly=0.05, - refinement=refinement, - n_electrodes=n_grid_points, - n_lines=n_grid_points, - flatten=False, - ) - params = MagneticScalarParams( - forward_only=True, - geoh5=geoh5, - mesh=model.parent.uid, - topography_object=topography.uid, - inducing_field_strength=inducing_field[0], - inducing_field_inclination=inducing_field[1], - inducing_field_declination=inducing_field[2], - z_from_topo=False, - data_object=survey.uid, - starting_model=model.uid, - ) - params.workpath = tmp_path - fwr_driver = MagneticScalarDriver(params) - fwr_driver.run() - - assert fwr_driver.inversion_data.survey.source_field.amplitude == inducing_field[0] - - assert params.out_group is not None - assert params.out_group.options - - -def test_susceptibility_run( - tmp_path: Path, - max_iterations=1, - pytest=True, -): - workpath = tmp_path / "inversion_test.ui.geoh5" - if pytest: - workpath = ( - tmp_path.parent / "test_susceptibility_fwr_run0" / "inversion_test.ui.geoh5" - ) - - with Workspace(workpath) as geoh5: - tmi = geoh5.get_entity("Iteration_0_tmi")[0] - orig_tmi = tmi.values.copy() - mesh = geoh5.get_entity("mesh")[0] - topography = geoh5.get_entity("topography")[0] - inducing_field = (50000.0, 90.0, 0.0) - - # Run the inverse - params = MagneticScalarParams( - geoh5=geoh5, - mesh=mesh.uid, - topography_object=topography.uid, - inducing_field_strength=inducing_field[0], - inducing_field_inclination=inducing_field[1], - inducing_field_declination=inducing_field[2], - data_object=tmi.parent.uid, - starting_model=1e-4, - reference_model=0.0, - s_norm=0.0, - x_norm=1.0, - y_norm=1.0, - z_norm=1.0, - gradient_type="components", - lower_bound=0.0, - tmi_channel_bool=True, - z_from_topo=False, - tmi_channel=tmi.uid, - tmi_uncertainty=1.0, - max_global_iterations=max_iterations, - store_sensitivities="ram", - ) - params.write_input_file(path=tmp_path, name="Inv_run") - - driver = MagneticScalarDriver.start(str(tmp_path / "Inv_run.ui.json")) - - with Workspace(driver.params.geoh5.h5file) as run_ws: - output = get_inversion_output( - driver.params.geoh5.h5file, driver.params.out_group.uid - ) - output["data"] = orig_tmi - assert ( - run_ws.get_entity("Iteration_1_tmi")[0].entity_type.uid - == run_ws.get_entity("Observed_tmi")[0].entity_type.uid - ) - - if pytest: - check_target(output, target_run) - nan_ind = np.isnan(run_ws.get_entity("Iteration_0_model")[0].values) - inactive_ind = run_ws.get_entity("active_cells")[0].values == 0 - assert np.all(nan_ind == inactive_ind) - - -if __name__ == "__main__": - # Full run - test_susceptibility_fwr_run(Path("./"), n_grid_points=20, refinement=(4, 8)) - test_susceptibility_run(Path("./"), max_iterations=30, pytest=False) diff --git a/tests/run_tests/driver_mt_test.py b/tests/run_tests/driver_mt_test.py index a552ee8b..f390cba4 100644 --- a/tests/run_tests/driver_mt_test.py +++ b/tests/run_tests/driver_mt_test.py @@ -81,121 +81,121 @@ def test_magnetotellurics_fwr_run( def test_magnetotellurics_run(tmp_path: Path, max_iterations=1, pytest=True): - pass - # workpath = tmp_path / "inversion_test.ui.geoh5" - # if pytest: - # workpath = ( - # tmp_path.parent - # / "test_magnetotellurics_fwr_run0" - # / "inversion_test.ui.geoh5" - # ) - # - # with Workspace(workpath) as geoh5: - # survey = geoh5.get_entity("survey")[0].copy(copy_children=False) - # mesh = geoh5.get_entity("mesh")[0] - # topography = geoh5.get_entity("topography")[0] - # - # data = {} - # uncertainties = {} - # components = { - # "zxx_real": "Zxx (real)", - # "zxx_imag": "Zxx (imag)", - # "zxy_real": "Zxy (real)", - # "zxy_imag": "Zxy (imag)", - # "zyx_real": "Zyx (real)", - # "zyx_imag": "Zyx (imag)", - # "zyy_real": "Zyy (real)", - # "zyy_imag": "Zyy (imag)", - # } - # - # for comp, cname in components.items(): - # data[cname] = [] - # # uncertainties[f"{cname} uncertainties"] = {} - # uncertainties[f"{cname} uncertainties"] = [] - # for ind in range(len(survey.channels)): - # data_entity = geoh5.get_entity(f"Iteration_0_{comp}_[{ind}]")[0].copy( - # parent=survey - # ) - # data[cname].append(data_entity) - # - # uncert = survey.add_data( - # { - # f"uncertainty_{comp}_[{ind}]": { - # "values": np.ones_like(data_entity.values) - # * np.percentile(np.abs(data_entity.values), 10) - # } - # } - # ) - # uncertainties[f"{cname} uncertainties"].append( - # uncert.copy(parent=survey) - # ) - # - # data_groups = survey.add_components_data(data) - # uncert_groups = survey.add_components_data(uncertainties) - # - # data_kwargs = {} - # for comp, data_group, uncert_group in zip( - # components, data_groups, uncert_groups - # ): - # data_kwargs[f"{comp}_channel"] = data_group.uid - # data_kwargs[f"{comp}_uncertainty"] = uncert_group.uid - # - # orig_zyy_real_1 = geoh5.get_entity("Iteration_0_zyy_real_[0]")[0].values - # - # # Run the inverse - # params = MagnetotelluricsParams( - # geoh5=geoh5, - # mesh=mesh.uid, - # topography_object=topography.uid, - # resolution=0.0, - # data_object=survey.uid, - # starting_model=0.01, - # reference_model=0.01, - # alpha_s=1.0, - # s_norm=1.0, - # x_norm=1.0, - # y_norm=1.0, - # z_norm=1.0, - # gradient_type="components", - # z_from_topo=False, - # upper_bound=0.75, - # conductivity_model=1e-2, - # max_global_iterations=max_iterations, - # initial_beta_ratio=1e2, - # prctile=100, - # store_sensitivities="ram", - # **data_kwargs, - # ) - # params.write_input_file(path=tmp_path, name="Inv_run") - # driver = MagnetotelluricsDriver.start(str(tmp_path / "Inv_run.ui.json")) - # - # with geoh5.open() as run_ws: - # output = get_inversion_output( - # driver.params.geoh5.h5file, driver.params.out_group.uid - # ) - # output["data"] = orig_zyy_real_1 - # if pytest: - # check_target(output, target_run, tolerance=0.5) - # nan_ind = np.isnan(run_ws.get_entity("Iteration_0_model")[0].values) - # inactive_ind = run_ws.get_entity("active_cells")[0].values == 0 - # assert np.all(nan_ind == inactive_ind) - # - # # test that one channel works - # data_kwargs = {k: v for k, v in data_kwargs.items() if "zxx_real" in k} - # geoh5.open() - # params = MagnetotelluricsParams( - # geoh5=geoh5, - # mesh=geoh5.get_entity("mesh")[0].uid, - # topography_object=topography.uid, - # data_object=survey.uid, - # starting_model=0.01, - # conductivity_model=1e-2, - # max_global_iterations=0, - # # store_sensitivities="ram", - # **data_kwargs, - # ) - # params.write_input_file(path=tmp_path, name="Inv_run") - # MagnetotelluricsDriver.start(str(tmp_path / "Inv_run.ui.json")) + # pass + workpath = tmp_path / "inversion_test.ui.geoh5" + if pytest: + workpath = ( + tmp_path.parent + / "test_magnetotellurics_fwr_run0" + / "inversion_test.ui.geoh5" + ) + + with Workspace(workpath) as geoh5: + survey = geoh5.get_entity("survey")[0].copy(copy_children=False) + mesh = geoh5.get_entity("mesh")[0] + topography = geoh5.get_entity("topography")[0] + + data = {} + uncertainties = {} + components = { + "zxx_real": "Zxx (real)", + "zxx_imag": "Zxx (imag)", + "zxy_real": "Zxy (real)", + "zxy_imag": "Zxy (imag)", + "zyx_real": "Zyx (real)", + "zyx_imag": "Zyx (imag)", + "zyy_real": "Zyy (real)", + "zyy_imag": "Zyy (imag)", + } + + for comp, cname in components.items(): + data[cname] = [] + # uncertainties[f"{cname} uncertainties"] = {} + uncertainties[f"{cname} uncertainties"] = [] + for ind in range(len(survey.channels)): + data_entity = geoh5.get_entity(f"Iteration_0_{comp}_[{ind}]")[0].copy( + parent=survey + ) + data[cname].append(data_entity) + + uncert = survey.add_data( + { + f"uncertainty_{comp}_[{ind}]": { + "values": np.ones_like(data_entity.values) + * np.percentile(np.abs(data_entity.values), 10) + } + } + ) + uncertainties[f"{cname} uncertainties"].append( + uncert.copy(parent=survey) + ) + + data_groups = survey.add_components_data(data) + uncert_groups = survey.add_components_data(uncertainties) + + data_kwargs = {} + for comp, data_group, uncert_group in zip( + components, data_groups, uncert_groups + ): + data_kwargs[f"{comp}_channel"] = data_group.uid + data_kwargs[f"{comp}_uncertainty"] = uncert_group.uid + + orig_zyy_real_1 = geoh5.get_entity("Iteration_0_zyy_real_[0]")[0].values + + # Run the inverse + params = MagnetotelluricsParams( + geoh5=geoh5, + mesh=mesh.uid, + topography_object=topography.uid, + resolution=0.0, + data_object=survey.uid, + starting_model=0.01, + reference_model=0.01, + alpha_s=1.0, + s_norm=1.0, + x_norm=1.0, + y_norm=1.0, + z_norm=1.0, + gradient_type="components", + z_from_topo=False, + upper_bound=0.75, + conductivity_model=1e-2, + max_global_iterations=max_iterations, + initial_beta_ratio=1e2, + prctile=100, + store_sensitivities="ram", + **data_kwargs, + ) + params.write_input_file(path=tmp_path, name="Inv_run") + driver = MagnetotelluricsDriver.start(str(tmp_path / "Inv_run.ui.json")) + + with geoh5.open() as run_ws: + output = get_inversion_output( + driver.params.geoh5.h5file, driver.params.out_group.uid + ) + output["data"] = orig_zyy_real_1 + if pytest: + check_target(output, target_run, tolerance=0.5) + nan_ind = np.isnan(run_ws.get_entity("Iteration_0_model")[0].values) + inactive_ind = run_ws.get_entity("active_cells")[0].values == 0 + assert np.all(nan_ind == inactive_ind) + + # test that one channel works + data_kwargs = {k: v for k, v in data_kwargs.items() if "zxx_real" in k} + geoh5.open() + params = MagnetotelluricsParams( + geoh5=geoh5, + mesh=geoh5.get_entity("mesh")[0].uid, + topography_object=topography.uid, + data_object=survey.uid, + starting_model=0.01, + conductivity_model=1e-2, + max_global_iterations=0, + # store_sensitivities="ram", + **data_kwargs, + ) + params.write_input_file(path=tmp_path, name="Inv_run") + MagnetotelluricsDriver.start(str(tmp_path / "Inv_run.ui.json")) if __name__ == "__main__": diff --git a/tests/run_tests/driver_mvi_test.py b/tests/run_tests/driver_mvi_test.py deleted file mode 100644 index 339d8828..00000000 --- a/tests/run_tests/driver_mvi_test.py +++ /dev/null @@ -1,147 +0,0 @@ -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' -# Copyright (c) 2023-2024 Mira Geoscience Ltd. -# All rights reserved. -# -# This file is part of simpeg-drivers. -# -# The software and information contained herein are proprietary to, and -# comprise valuable trade secrets of, Mira Geoscience, which -# intend to preserve as trade secrets such software and information. -# This software is furnished pursuant to a written license agreement and -# may be used, copied, transmitted, and stored only in accordance with -# the terms of such license and with the inclusion of the above copyright -# notice. This software and information or any other copies thereof may -# not be provided or otherwise made available to any other person. -# -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' - -from __future__ import annotations - -from pathlib import Path - -import numpy as np -from geoh5py.objects import Curve -from geoh5py.workspace import Workspace - -from simpeg_drivers.potential_fields import MagneticVectorParams -from simpeg_drivers.potential_fields.magnetic_vector.driver import MagneticVectorDriver -from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace -from simpeg_drivers.utils.utils import get_inversion_output - -# To test the full run and validate the inversion. -# Move this file out of the test directory and run. - -target_mvi_run = { - "data_norm": 6.3559205278626525, - "phi_d": 0.007234, - "phi_m": 4.657e-06, -} - - -def test_magnetic_vector_fwr_run( - tmp_path: Path, - n_grid_points=2, - refinement=(2,), -): - inducing_field = (50000.0, 90.0, 0.0) - # Run the forward - geoh5, _, model, points, topography = setup_inversion_workspace( - tmp_path, - background=0.0, - anomaly=0.05, - refinement=refinement, - n_electrodes=n_grid_points, - n_lines=n_grid_points, - ) - - # Unitest dealing with Curve - survey = Curve.create(geoh5, name=points.name, vertices=points.vertices) - geoh5.remove_entity(points) - - params = MagneticVectorParams( - forward_only=True, - geoh5=geoh5, - mesh=model.parent.uid, - topography_object=topography.uid, - inducing_field_strength=inducing_field[0], - inducing_field_inclination=inducing_field[1], - inducing_field_declination=inducing_field[2], - z_from_topo=False, - data_object=survey.uid, - starting_model_object=model.parent.uid, - starting_model=model.uid, - starting_inclination=45, - starting_declination=270, - ) - fwr_driver = MagneticVectorDriver(params) - - fwr_driver.run() - - -def test_magnetic_vector_run( - tmp_path: Path, - max_iterations=1, - pytest=True, -): - workpath = tmp_path / "inversion_test.ui.geoh5" - if pytest: - workpath = ( - tmp_path.parent - / "test_magnetic_vector_fwr_run0" - / "inversion_test.ui.geoh5" - ) - - with Workspace(workpath) as geoh5: - tmi = geoh5.get_entity("Iteration_0_tmi")[0] - orig_tmi = tmi.values.copy() - mesh = geoh5.get_entity("mesh")[0] - topography = geoh5.get_entity("topography")[0] - inducing_field = (50000.0, 90.0, 0.0) - - # Run the inverse - params = MagneticVectorParams( - geoh5=geoh5, - mesh=mesh.uid, - topography_object=topography.uid, - inducing_field_strength=inducing_field[0], - inducing_field_inclination=inducing_field[1], - inducing_field_declination=inducing_field[2], - data_object=tmi.parent.uid, - starting_model=1e-4, - reference_model=0.0, - s_norm=0.0, - x_norm=1.0, - y_norm=1.0, - z_norm=1.0, - gradient_type="components", - tmi_channel_bool=True, - z_from_topo=False, - tmi_channel=tmi.uid, - tmi_uncertainty=4.0, - max_global_iterations=max_iterations, - initial_beta_ratio=1e1, - store_sensitivities="ram", - prctile=100, - ) - params.write_input_file(path=tmp_path, name="Inv_run") - driver = MagneticVectorDriver.start(str(tmp_path / "Inv_run.ui.json")) - - with Workspace(driver.params.geoh5.h5file) as run_ws: - # Re-open the workspace and get iterations - output = get_inversion_output( - driver.params.geoh5.h5file, driver.params.out_group.uid - ) - output["data"] = orig_tmi - if pytest: - check_target(output, target_mvi_run) - nan_ind = np.isnan( - run_ws.get_entity("Iteration_0_amplitude_model")[0].values - ) - inactive_ind = run_ws.get_entity("active_cells")[0].values == 0 - assert np.all(nan_ind == inactive_ind) - - -if __name__ == "__main__": - # Full run - test_magnetic_vector_fwr_run(Path("./"), n_grid_points=20, refinement=(4, 8)) - test_magnetic_vector_run(Path("./"), max_iterations=30, pytest=False) diff --git a/tests/run_tests/driver_tipper_test.py b/tests/run_tests/driver_tipper_test.py deleted file mode 100644 index 166b72a0..00000000 --- a/tests/run_tests/driver_tipper_test.py +++ /dev/null @@ -1,171 +0,0 @@ -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' -# Copyright (c) 2023-2024 Mira Geoscience Ltd. -# All rights reserved. -# -# This file is part of simpeg-drivers. -# -# The software and information contained herein are proprietary to, and -# comprise valuable trade secrets of, Mira Geoscience, which -# intend to preserve as trade secrets such software and information. -# This software is furnished pursuant to a written license agreement and -# may be used, copied, transmitted, and stored only in accordance with -# the terms of such license and with the inclusion of the above copyright -# notice. This software and information or any other copies thereof may -# not be provided or otherwise made available to any other person. -# -# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' - -from __future__ import annotations - -from pathlib import Path - -import numpy as np -from geoh5py.workspace import Workspace - -from simpeg_drivers.natural_sources import TipperParams -from simpeg_drivers.natural_sources.tipper.driver import TipperDriver -from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace -from simpeg_drivers.utils.utils import get_inversion_output - -# To test the full run and validate the inversion. -# Move this file out of the test directory and run. - -target_run = {"data_norm": 0.0020959218368283884, "phi_d": 0.1504, "phi_m": 7209} - - -def test_tipper_fwr_run( - tmp_path: Path, - n_grid_points=2, - refinement=(2,), -): - # Run the forward - geoh5, _, model, survey, topography = setup_inversion_workspace( - tmp_path, - background=1e-3, - anomaly=1.0, - n_electrodes=n_grid_points, - n_lines=n_grid_points, - refinement=refinement, - inversion_type="tipper", - drape_height=15.0, - flatten=False, - ) - params = TipperParams( - forward_only=True, - geoh5=geoh5, - mesh=model.parent.uid, - topography_object=topography.uid, - resolution=0.0, - z_from_topo=False, - data_object=survey.uid, - starting_model=model.uid, - conductivity_model=1e-3, - txz_real_channel_bool=True, - txz_imag_channel_bool=True, - tyz_real_channel_bool=True, - tyz_imag_channel_bool=True, - ) - params.workpath = tmp_path - fwr_driver = TipperDriver(params) - fwr_driver.run() - - -def test_tipper_run(tmp_path: Path, max_iterations=1, pytest=True): - workpath = tmp_path / "inversion_test.ui.geoh5" - if pytest: - workpath = tmp_path.parent / "test_tipper_fwr_run0" / "inversion_test.ui.geoh5" - - with Workspace(workpath) as geoh5: - survey = geoh5.get_entity("survey")[0] - mesh = geoh5.get_entity("mesh")[0] - topography = geoh5.get_entity("topography")[0] - - data = {} - uncertainties = {} - components = { - "txz_real": "Txz (real)", - "txz_imag": "Txz (imag)", - "tyz_real": "Tyz (real)", - "tyz_imag": "Tyz (imag)", - } - - for comp, cname in components.items(): - data[cname] = [] - uncertainties[f"{cname} uncertainties"] = [] - for ind in range(len(survey.channels)): - data_entity = geoh5.get_entity(f"Iteration_0_{comp}_[{ind}]")[0].copy( - parent=survey - ) - data[cname].append(data_entity) - - uncert = survey.add_data( - { - f"uncertainty_{comp}_[{ind}]": { - "values": np.ones_like(data_entity.values) - * np.percentile(np.abs(data_entity.values), 5) - } - } - ) - uncertainties[f"{cname} uncertainties"].append(uncert) - - data_groups = survey.add_components_data(data) - uncert_groups = survey.add_components_data(uncertainties) - - data_kwargs = {} - for comp, data_group, uncert_group in zip( - components, data_groups, uncert_groups - ): - data_kwargs[f"{comp}_channel"] = data_group.uid - data_kwargs[f"{comp}_uncertainty"] = uncert_group.uid - - orig_tyz_real_1 = geoh5.get_entity("Iteration_0_tyz_real_[0]")[0].values - - # Run the inverse - params = TipperParams( - geoh5=geoh5, - mesh=mesh.uid, - topography_object=topography.uid, - resolution=0.0, - data_object=survey.uid, - starting_model=0.001, - reference_model=0.001, - conductivity_model=1e-3, - s_norm=1.0, - x_norm=1.0, - y_norm=1.0, - z_norm=1.0, - alpha_s=1.0, - gradient_type="components", - z_from_topo=False, - upper_bound=0.75, - max_global_iterations=max_iterations, - initial_beta_ratio=1e2, - coolingRate=2, - prctile=100, - chi_factor=0.1, - store_sensitivities="ram", - **data_kwargs, - ) - params.write_input_file(path=tmp_path, name="Inv_run") - driver = TipperDriver.start(str(tmp_path / "Inv_run.ui.json")) - - with geoh5.open() as run_ws: - output = get_inversion_output( - driver.params.geoh5.h5file, driver.params.out_group.uid - ) - output["data"] = orig_tyz_real_1 - if pytest: - check_target(output, target_run, tolerance=0.5) - nan_ind = np.isnan(run_ws.get_entity("Iteration_0_model")[0].values) - inactive_ind = run_ws.get_entity("active_cells")[0].values == 0 - assert np.all(nan_ind == inactive_ind) - - -if __name__ == "__main__": - # Full run - test_tipper_fwr_run(Path("./"), n_grid_points=8, refinement=(4, 4)) - test_tipper_run( - Path("./"), - max_iterations=15, - pytest=False, - ) From dc5c77e6a2b860addae5637e18fe56c9834512b5 Mon Sep 17 00:00:00 2001 From: dominiquef Date: Thu, 13 Jun 2024 22:27:06 -0700 Subject: [PATCH 038/350] Fix scipy --- .../py-3.10-linux-64-dev.conda.lock.yml | 5 +- environments/py-3.10-linux-64.conda.lock.yml | 9 +- .../py-3.10-win-64-dev.conda.lock.yml | 5 +- environments/py-3.10-win-64.conda.lock.yml | 9 +- py-3.10.conda-lock.yml | 92 ++++++------------- pyproject.toml | 2 +- 6 files changed, 38 insertions(+), 84 deletions(-) diff --git a/environments/py-3.10-linux-64-dev.conda.lock.yml b/environments/py-3.10-linux-64-dev.conda.lock.yml index c2caf466..427b9827 100644 --- a/environments/py-3.10-linux-64-dev.conda.lock.yml +++ b/environments/py-3.10-linux-64-dev.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: ba7c7f0f20aa210b9eb0c05840347b5e7f2cc2f24bcf114ec09dd619acebe1d9 +# input_hash: 769cc489f34e61f12004493f067269a991aee946932346cf4e83a3ede82ead6e channels: - conda-forge @@ -171,7 +171,6 @@ dependencies: - pkgutil-resolve-name=1.3.10=pyhd8ed1ab_1 - platformdirs=4.2.2=pyhd8ed1ab_0 - pluggy=1.5.0=pyhd8ed1ab_0 - - pooch=1.8.2=pyhd8ed1ab_0 - prometheus_client=0.20.0=pyhd8ed1ab_0 - prompt-toolkit=3.0.47=pyha770c72_0 - psutil=5.9.8=py310h2372a71_0 @@ -207,7 +206,7 @@ dependencies: - requests=2.32.3=pyhd8ed1ab_0 - rpds-py=0.18.1=py310he421c4c_0 - scikit-learn=1.4.2=py310h981052a_1 - - scipy=1.10.1=py310ha4c1d20_3 + - scipy=1.13.1=py310h93e2701_0 - scooby=0.10.0=pyhd8ed1ab_0 - send2trash=1.8.3=pyh0d859eb_0 - setuptools=70.0.0=pyhd8ed1ab_0 diff --git a/environments/py-3.10-linux-64.conda.lock.yml b/environments/py-3.10-linux-64.conda.lock.yml index 007f926d..8a959411 100644 --- a/environments/py-3.10-linux-64.conda.lock.yml +++ b/environments/py-3.10-linux-64.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: ba7c7f0f20aa210b9eb0c05840347b5e7f2cc2f24bcf114ec09dd619acebe1d9 +# input_hash: 769cc489f34e61f12004493f067269a991aee946932346cf4e83a3ede82ead6e channels: - conda-forge @@ -18,7 +18,6 @@ dependencies: - cached-property=1.5.2=hd8ed1ab_1 - cached_property=1.5.2=pyha770c72_1 - certifi=2024.6.2=pyhd8ed1ab_0 - - charset-normalizer=3.3.2=pyhd8ed1ab_0 - click=8.1.7=unix_pyh707e725_0 - cloudpickle=3.0.0=pyhd8ed1ab_0 - colorama=0.4.6=pyhd8ed1ab_0 @@ -37,7 +36,6 @@ dependencies: - h5py=3.11.0=nompi_py310hf054cd7_102 - hdf5=1.14.3=nompi_hdf9ad27_105 - icu=73.2=h59595ed_0 - - idna=3.7=pyhd8ed1ab_0 - jinja2=3.1.4=pyhd8ed1ab_0 - joblib=1.4.2=pyhd8ed1ab_0 - keyutils=1.6.1=h166bdaf_0 @@ -98,8 +96,6 @@ dependencies: - partd=1.4.2=pyhd8ed1ab_0 - pillow=10.3.0=py310hf73ecf8_0 - pip=24.0=pyhd8ed1ab_0 - - platformdirs=4.2.2=pyhd8ed1ab_0 - - pooch=1.8.2=pyhd8ed1ab_0 - psutil=5.9.8=py310h2372a71_0 - pthread-stubs=0.4=h36c2ea0_1001 - pydantic=2.5.3=pyhd8ed1ab_0 @@ -116,9 +112,8 @@ dependencies: - pytz=2024.1=pyhd8ed1ab_0 - pyyaml=6.0.1=py310h2372a71_1 - readline=8.2=h8228510_1 - - requests=2.32.3=pyhd8ed1ab_0 - scikit-learn=1.4.2=py310h981052a_1 - - scipy=1.10.1=py310ha4c1d20_3 + - scipy=1.13.1=py310h93e2701_0 - scooby=0.10.0=pyhd8ed1ab_0 - setuptools=70.0.0=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 diff --git a/environments/py-3.10-win-64-dev.conda.lock.yml b/environments/py-3.10-win-64-dev.conda.lock.yml index 37fa5047..980d628b 100644 --- a/environments/py-3.10-win-64-dev.conda.lock.yml +++ b/environments/py-3.10-win-64-dev.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: 5f130d3b87fe6831ca8cc1a282eb745ae37876309e13e6d13b110431064bf0b1 +# input_hash: 4cd7cf3a95475d7dc5d68b1023f9013a086f0ce0cdc60e5d52eda5319142b15a channels: - conda-forge @@ -158,7 +158,6 @@ dependencies: - pkgutil-resolve-name=1.3.10=pyhd8ed1ab_1 - platformdirs=4.2.2=pyhd8ed1ab_0 - pluggy=1.5.0=pyhd8ed1ab_0 - - pooch=1.8.2=pyhd8ed1ab_0 - prometheus_client=0.20.0=pyhd8ed1ab_0 - prompt-toolkit=3.0.47=pyha770c72_0 - psutil=5.9.8=py310h8d17308_0 @@ -195,7 +194,7 @@ dependencies: - requests=2.32.3=pyhd8ed1ab_0 - rpds-py=0.18.1=py310hc226416_0 - scikit-learn=1.4.2=py310hf2a6c47_1 - - scipy=1.10.1=py310h578b7cb_3 + - scipy=1.13.1=py310h46043a1_0 - scooby=0.10.0=pyhd8ed1ab_0 - send2trash=1.8.3=pyh5737063_0 - setuptools=70.0.0=pyhd8ed1ab_0 diff --git a/environments/py-3.10-win-64.conda.lock.yml b/environments/py-3.10-win-64.conda.lock.yml index cf2b2b0f..575e622e 100644 --- a/environments/py-3.10-win-64.conda.lock.yml +++ b/environments/py-3.10-win-64.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: 5f130d3b87fe6831ca8cc1a282eb745ae37876309e13e6d13b110431064bf0b1 +# input_hash: 4cd7cf3a95475d7dc5d68b1023f9013a086f0ce0cdc60e5d52eda5319142b15a channels: - conda-forge @@ -15,7 +15,6 @@ dependencies: - cached-property=1.5.2=hd8ed1ab_1 - cached_property=1.5.2=pyha770c72_1 - certifi=2024.6.2=pyhd8ed1ab_0 - - charset-normalizer=3.3.2=pyhd8ed1ab_0 - click=8.1.7=win_pyh7428d3b_0 - cloudpickle=3.0.0=pyhd8ed1ab_0 - colorama=0.4.6=pyhd8ed1ab_0 @@ -33,7 +32,6 @@ dependencies: - geoana=0.4.0=py310h232114e_1 - h5py=3.11.0=nompi_py310h2b0be38_102 - hdf5=1.14.3=nompi_h2b43c12_105 - - idna=3.7=pyhd8ed1ab_0 - intel-openmp=2024.1.0=h57928b3_966 - jinja2=3.1.4=pyhd8ed1ab_0 - joblib=1.4.2=pyhd8ed1ab_0 @@ -86,8 +84,6 @@ dependencies: - partd=1.4.2=pyhd8ed1ab_0 - pillow=10.3.0=py310hf5d6e66_0 - pip=24.0=pyhd8ed1ab_0 - - platformdirs=4.2.2=pyhd8ed1ab_0 - - pooch=1.8.2=pyhd8ed1ab_0 - psutil=5.9.8=py310h8d17308_0 - pthread-stubs=0.4=hcd874cb_1001 - pthreads-win32=2.9.1=hfa6e2cd_3 @@ -104,9 +100,8 @@ dependencies: - python_abi=3.10=4_cp310 - pytz=2024.1=pyhd8ed1ab_0 - pyyaml=6.0.1=py310h8d17308_1 - - requests=2.32.3=pyhd8ed1ab_0 - scikit-learn=1.4.2=py310hf2a6c47_1 - - scipy=1.10.1=py310h578b7cb_3 + - scipy=1.13.1=py310h46043a1_0 - scooby=0.10.0=pyhd8ed1ab_0 - setuptools=70.0.0=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 diff --git a/py-3.10.conda-lock.yml b/py-3.10.conda-lock.yml index f29d0db9..1341778a 100644 --- a/py-3.10.conda-lock.yml +++ b/py-3.10.conda-lock.yml @@ -15,8 +15,8 @@ version: 1 metadata: content_hash: - win-64: 5f130d3b87fe6831ca8cc1a282eb745ae37876309e13e6d13b110431064bf0b1 - linux-64: ba7c7f0f20aa210b9eb0c05840347b5e7f2cc2f24bcf114ec09dd619acebe1d9 + win-64: 4cd7cf3a95475d7dc5d68b1023f9013a086f0ce0cdc60e5d52eda5319142b15a + linux-64: 769cc489f34e61f12004493f067269a991aee946932346cf4e83a3ede82ead6e channels: - url: conda-forge used_env_vars: [] @@ -675,8 +675,8 @@ package: hash: md5: 7f4a9e3fcff3f6356ae99244a014da6a sha256: 20cae47d31fdd58d99c4d2e65fbdcefa0b0de0c84e455ba9d6356a4bdbc4b5b9 - category: main - optional: false + category: dev + optional: true - name: charset-normalizer version: 3.3.2 manager: conda @@ -687,8 +687,8 @@ package: hash: md5: 7f4a9e3fcff3f6356ae99244a014da6a sha256: 20cae47d31fdd58d99c4d2e65fbdcefa0b0de0c84e455ba9d6356a4bdbc4b5b9 - category: main - optional: false + category: dev + optional: true - name: click version: 8.1.7 manager: conda @@ -1579,8 +1579,8 @@ package: hash: md5: c0cc1420498b17414d8617d0b9f506ca sha256: 9687ee909ed46169395d4f99a0ee94b80a52f87bed69cd454bb6d37ffeb0ec7b - category: main - optional: false + category: dev + optional: true - name: idna version: '3.7' manager: conda @@ -1591,8 +1591,8 @@ package: hash: md5: c0cc1420498b17414d8617d0b9f506ca sha256: 9687ee909ed46169395d4f99a0ee94b80a52f87bed69cd454bb6d37ffeb0ec7b - category: main - optional: false + category: dev + optional: true - name: imagesize version: 1.4.1 manager: conda @@ -4686,8 +4686,8 @@ package: hash: md5: 6f6cf28bf8e021933869bae3f84b8fc9 sha256: adc59384cf0b2fc6dc7362840151e8cb076349197a38f7230278252698a88442 - category: main - optional: false + category: dev + optional: true - name: platformdirs version: 4.2.2 manager: conda @@ -4698,8 +4698,8 @@ package: hash: md5: 6f6cf28bf8e021933869bae3f84b8fc9 sha256: adc59384cf0b2fc6dc7362840151e8cb076349197a38f7230278252698a88442 - category: main - optional: false + category: dev + optional: true - name: pluggy version: 1.5.0 manager: conda @@ -4724,36 +4724,6 @@ package: sha256: 33eaa3359948a260ebccf9cdc2fd862cea5a6029783289e13602d8e634cd9a26 category: dev optional: true -- name: pooch - version: 1.8.2 - manager: conda - platform: linux-64 - dependencies: - packaging: '>=20.0' - platformdirs: '>=2.5.0' - python: '>=3.7' - requests: '>=2.19.0' - url: https://conda.anaconda.org/conda-forge/noarch/pooch-1.8.2-pyhd8ed1ab_0.conda - hash: - md5: 8dab97d8a9616e07d779782995710aed - sha256: f2ee98740ac62ff46700c3cae8a18c78bdb3d6dd80832c6e691e789b844830d8 - category: main - optional: false -- name: pooch - version: 1.8.2 - manager: conda - platform: win-64 - dependencies: - python: '>=3.7' - packaging: '>=20.0' - requests: '>=2.19.0' - platformdirs: '>=2.5.0' - url: https://conda.anaconda.org/conda-forge/noarch/pooch-1.8.2-pyhd8ed1ab_0.conda - hash: - md5: 8dab97d8a9616e07d779782995710aed - sha256: f2ee98740ac62ff46700c3cae8a18c78bdb3d6dd80832c6e691e789b844830d8 - category: main - optional: false - name: prometheus_client version: 0.20.0 manager: conda @@ -5723,8 +5693,8 @@ package: hash: md5: 5ede4753180c7a550a443c430dc8ab52 sha256: 5845ffe82a6fa4d437a2eae1e32a1ad308d7ad349f61e337c0a890fe04c513cc - category: main - optional: false + category: dev + optional: true - name: requests version: 2.32.3 manager: conda @@ -5739,8 +5709,8 @@ package: hash: md5: 5ede4753180c7a550a443c430dc8ab52 sha256: 5845ffe82a6fa4d437a2eae1e32a1ad308d7ad349f61e337c0a890fe04c513cc - category: main - optional: false + category: dev + optional: true - name: rpds-py version: 0.18.1 manager: conda @@ -5812,7 +5782,7 @@ package: category: main optional: false - name: scipy - version: 1.10.1 + version: 1.13.1 manager: conda platform: linux-64 dependencies: @@ -5820,40 +5790,36 @@ package: libcblas: '>=3.9.0,<4.0a0' libgcc-ng: '>=12' libgfortran-ng: '' - libgfortran5: '>=12.2.0' + libgfortran5: '>=12.3.0' liblapack: '>=3.9.0,<4.0a0' libstdcxx-ng: '>=12' - numpy: '>=1.21.6,<2.0a0' - pooch: '' + numpy: '>=1.19,<3' python: '>=3.10,<3.11.0a0' python_abi: 3.10.* - url: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.10.1-py310ha4c1d20_3.conda + url: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.13.1-py310h93e2701_0.conda hash: - 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name: scooby diff --git a/pyproject.toml b/pyproject.toml index 79c515cd..59c346dc 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -32,7 +32,7 @@ dask = {version = "2022.10.*", extras = ["distributed"]} # also in simpeg[dask] discretize = "~0.10.0" # also in simpeg, octree-creation-app distributed = "2022.10.*" # because conda-lock doesn't take dask extras into account numpy = "~1.23.5" # also in geoh5py, simpeg -scipy = "~1.10.1" +scipy = "~1.13" zarr = "~2.14.2" # also in simpeg[dask] ## Pip dependencies from Git repositories From db31535b92731ce98b36fb2e0367f70df6e2039e Mon Sep 17 00:00:00 2001 From: dominiquef Date: Fri, 14 Jun 2024 08:04:43 -0700 Subject: [PATCH 039/350] Bring back all tests --- tests/run_tests/driver_airborne_tem_test.py | 179 ++++++++++++ tests/run_tests/driver_dc_2d_test.py | 149 ++++++++++ tests/run_tests/driver_dc_p3d_test.py | 166 +++++++++++ tests/run_tests/driver_dc_test.py | 190 ++++++++++++ tests/run_tests/driver_fem_test.py | 183 ++++++++++++ tests/run_tests/driver_grav_test.py | 153 ++++++++++ tests/run_tests/driver_ground_tem_test.py | 227 ++++++++++++++ tests/run_tests/driver_ip_2d_test.py | 141 +++++++++ tests/run_tests/driver_ip_p3d_test.py | 168 +++++++++++ tests/run_tests/driver_ip_test.py | 139 +++++++++ .../driver_joint_cross_gradient_test.py | 276 ++++++++++++++++++ tests/run_tests/driver_joint_surveys_test.py | 188 ++++++++++++ tests/run_tests/driver_mag_test.py | 140 +++++++++ tests/run_tests/driver_mvi_test.py | 147 ++++++++++ tests/run_tests/driver_tipper_test.py | 171 +++++++++++ 15 files changed, 2617 insertions(+) create mode 100644 tests/run_tests/driver_airborne_tem_test.py create mode 100644 tests/run_tests/driver_dc_2d_test.py create mode 100644 tests/run_tests/driver_dc_p3d_test.py create mode 100644 tests/run_tests/driver_dc_test.py create mode 100644 tests/run_tests/driver_fem_test.py create mode 100644 tests/run_tests/driver_grav_test.py create mode 100644 tests/run_tests/driver_ground_tem_test.py create mode 100644 tests/run_tests/driver_ip_2d_test.py create mode 100644 tests/run_tests/driver_ip_p3d_test.py create mode 100644 tests/run_tests/driver_ip_test.py create mode 100644 tests/run_tests/driver_joint_cross_gradient_test.py create mode 100644 tests/run_tests/driver_joint_surveys_test.py create mode 100644 tests/run_tests/driver_mag_test.py create mode 100644 tests/run_tests/driver_mvi_test.py create mode 100644 tests/run_tests/driver_tipper_test.py diff --git a/tests/run_tests/driver_airborne_tem_test.py b/tests/run_tests/driver_airborne_tem_test.py new file mode 100644 index 00000000..973d0a7a --- /dev/null +++ b/tests/run_tests/driver_airborne_tem_test.py @@ -0,0 +1,179 @@ +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' +# Copyright (c) 2023-2024 Mira Geoscience Ltd. +# All rights reserved. +# +# This file is part of simpeg-drivers. +# +# The software and information contained herein are proprietary to, and +# comprise valuable trade secrets of, Mira Geoscience, which +# intend to preserve as trade secrets such software and information. +# This software is furnished pursuant to a written license agreement and +# may be used, copied, transmitted, and stored only in accordance with +# the terms of such license and with the inclusion of the above copyright +# notice. This software and information or any other copies thereof may +# not be provided or otherwise made available to any other person. +# +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' + +from __future__ import annotations + +from pathlib import Path + +import numpy as np +from geoh5py.workspace import Workspace + +from simpeg_drivers.electromagnetics.time_domain import TimeDomainElectromagneticsParams +from simpeg_drivers.electromagnetics.time_domain.driver import ( + TimeDomainElectromagneticsDriver, +) +from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace +from simpeg_drivers.utils.utils import get_inversion_output + +# To test the full run and validate the inversion. +# Move this file out of the test directory and run. + +target_run = { + "data_norm": 2.81018e-10, + "phi_d": 15400, + "phi_m": 718.9, +} + + +def test_airborne_tem_fwr_run( + tmp_path: Path, + n_grid_points=3, + refinement=(2,), +): + # Run the forward + geoh5, _, model, survey, topography = setup_inversion_workspace( + tmp_path, + background=0.001, + anomaly=1.0, + n_electrodes=n_grid_points, + n_lines=n_grid_points, + refinement=refinement, + inversion_type="airborne_tem", + drape_height=10.0, + padding_distance=400.0, + flatten=False, + ) + params = TimeDomainElectromagneticsParams( + forward_only=True, + geoh5=geoh5, + mesh=model.parent.uid, + topography_object=topography.uid, + resolution=0.0, + z_from_topo=False, + data_object=survey.uid, + starting_model=model.uid, + x_channel_bool=True, + y_channel_bool=True, + z_channel_bool=True, + ) + params.workpath = tmp_path + fwr_driver = TimeDomainElectromagneticsDriver(params) + fwr_driver.run() + + +def test_airborne_tem_run(tmp_path: Path, max_iterations=1, pytest=True): + workpath = tmp_path / "inversion_test.ui.geoh5" + if pytest: + workpath = ( + tmp_path.parent / "test_airborne_tem_fwr_run0" / "inversion_test.ui.geoh5" + ) + + with Workspace(workpath) as geoh5: + survey = geoh5.get_entity("Airborne_rx")[0] + mesh = geoh5.get_entity("mesh")[0] + topography = geoh5.get_entity("topography")[0] + + data = {} + uncertainties = {} + components = { + "z": "dBzdt", + } + + for comp, cname in components.items(): + data[cname] = [] + uncertainties[f"{cname} uncertainties"] = [] + for ii, _ in enumerate(survey.channels): + data_entity = geoh5.get_entity(f"Iteration_0_{comp}_[{ii}]")[0].copy( + parent=survey + ) + data[cname].append(data_entity) + + uncert = survey.add_data( + { + f"uncertainty_{comp}_[{ii}]": { + "values": np.ones_like(data_entity.values) + * (np.median(np.abs(data_entity.values))) + } + } + ) + uncertainties[f"{cname} uncertainties"].append(uncert) + + survey.add_components_data(data) + survey.add_components_data(uncertainties) + + data_kwargs = {} + for comp in components: + data_kwargs[f"{comp}_channel"] = survey.find_or_create_property_group( + name=f"Iteration_0_{comp}" + ) + data_kwargs[f"{comp}_uncertainty"] = survey.find_or_create_property_group( + name=f"dB{comp}dt uncertainties" + ) + + orig_dBzdt = geoh5.get_entity("Iteration_0_z_[0]")[0].values + + # Run the inverse + params = TimeDomainElectromagneticsParams( + geoh5=geoh5, + mesh=mesh.uid, + topography_object=topography.uid, + resolution=0.0, + data_object=survey.uid, + starting_model=1e-3, + reference_model=1e-3, + chi_factor=1.0, + s_norm=2.0, + x_norm=2.0, + y_norm=2.0, + z_norm=2.0, + alpha_s=1e-4, + gradient_type="total", + z_from_topo=False, + lower_bound=2e-6, + upper_bound=1e2, + max_global_iterations=max_iterations, + initial_beta_ratio=1e2, + coolingRate=4, + max_cg_iterations=200, + prctile=5, + store_sensitivities="ram", + **data_kwargs, + ) + params.write_input_file(path=tmp_path, name="Inv_run") + + driver = TimeDomainElectromagneticsDriver.start(str(tmp_path / "Inv_run.ui.json")) + + with geoh5.open() as run_ws: + output = get_inversion_output( + driver.params.geoh5.h5file, driver.params.out_group.uid + ) + output["data"] = orig_dBzdt + if pytest: + check_target(output, target_run, tolerance=0.5) + nan_ind = np.isnan(run_ws.get_entity("Iteration_0_model")[0].values) + inactive_ind = run_ws.get_entity("active_cells")[0].values == 0 + assert np.all(nan_ind == inactive_ind) + + +if __name__ == "__main__": + # Full run + test_airborne_tem_fwr_run(Path("./"), n_grid_points=5, refinement=(0, 0, 4)) + test_airborne_tem_run( + Path("./"), + max_iterations=15, + pytest=False, + ) diff --git a/tests/run_tests/driver_dc_2d_test.py b/tests/run_tests/driver_dc_2d_test.py new file mode 100644 index 00000000..6fdbb130 --- /dev/null +++ b/tests/run_tests/driver_dc_2d_test.py @@ -0,0 +1,149 @@ +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' +# Copyright (c) 2023-2024 Mira Geoscience Ltd. +# All rights reserved. +# +# This file is part of simpeg-drivers. +# +# The software and information contained herein are proprietary to, and +# comprise valuable trade secrets of, Mira Geoscience, which +# intend to preserve as trade secrets such software and information. +# This software is furnished pursuant to a written license agreement and +# may be used, copied, transmitted, and stored only in accordance with +# the terms of such license and with the inclusion of the above copyright +# notice. This software and information or any other copies thereof may +# not be provided or otherwise made available to any other person. +# +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' + + +from __future__ import annotations + +from pathlib import Path + +import numpy as np +from geoh5py.workspace import Workspace + +from simpeg_drivers.electricals.direct_current.two_dimensions.driver import ( + DirectCurrent2DDriver, +) +from simpeg_drivers.electricals.direct_current.two_dimensions.params import ( + DirectCurrent2DParams, +) +from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace +from simpeg_drivers.utils.utils import get_inversion_output + +# To test the full run and validate the inversion. +# Move this file out of the test directory and run. + +target_run = { + "data_norm": 0.59563, + "phi_d": 1407, + "phi_m": 15.88, +} + + +def test_dc_2d_fwr_run( + tmp_path: Path, + n_electrodes=10, + n_lines=3, + refinement=(4, 6), +): + # Run the forward + geoh5, _, model, survey, topography = setup_inversion_workspace( + tmp_path, + background=0.01, + anomaly=10, + n_electrodes=n_electrodes, + n_lines=n_lines, + refinement=refinement, + inversion_type="dcip_2d", + drape_height=0.0, + flatten=False, + ) + params = DirectCurrent2DParams( + forward_only=True, + geoh5=geoh5, + u_cell_size=5.0, + v_cell_size=5.0, + depth_core=100.0, + horizontal_padding=100.0, + vertical_padding=100.0, + expansion_factor=1.1, + topography_object=topography.uid, + z_from_topo=False, + data_object=survey.uid, + starting_model=model.uid, + line_object=geoh5.get_entity("line_ids")[0].uid, + line_id=101, + ) + params.workpath = tmp_path + fwr_driver = DirectCurrent2DDriver(params) + fwr_driver.run() + + +def test_dc_2d_run(tmp_path: Path, max_iterations=1, pytest=True): + workpath = tmp_path / "inversion_test.ui.geoh5" + if pytest: + workpath = tmp_path.parent / "test_dc_2d_fwr_run0" / "inversion_test.ui.geoh5" + + with Workspace(workpath) as geoh5: + potential = geoh5.get_entity("Iteration_0_dc")[0] + topography = geoh5.get_entity("topography")[0] + + # Run the inverse + params = DirectCurrent2DParams( + geoh5=geoh5, + u_cell_size=5.0, + v_cell_size=5.0, + depth_core=100.0, + horizontal_padding=100.0, + vertical_padding=100.0, + expansion_factor=1.1, + topography_object=topography.uid, + data_object=potential.parent.uid, + potential_channel=potential.uid, + potential_uncertainty=1e-3, + line_object=geoh5.get_entity("line_ids")[0].uid, + line_id=101, + starting_model=1e-2, + reference_model=1e-2, + s_norm=0.0, + x_norm=1.0, + y_norm=1.0, + z_norm=1.0, + gradient_type="components", + potential_channel_bool=True, + z_from_topo=True, + max_global_iterations=max_iterations, + initial_beta=None, + initial_beta_ratio=1e0, + prctile=100, + upper_bound=10, + coolingRate=1, + ) + params.write_input_file(path=tmp_path, name="Inv_run") + + driver = DirectCurrent2DDriver.start(str(tmp_path / "Inv_run.ui.json")) + + output = get_inversion_output( + driver.params.geoh5.h5file, driver.params.out_group.uid + ) + if geoh5.open(): + output["data"] = potential.values[np.isfinite(potential.values)] + if pytest: + check_target(output, target_run) + + +if __name__ == "__main__": + # Full run + test_dc_2d_fwr_run( + Path("./"), + n_electrodes=20, + n_lines=3, + refinement=(4, 8), + ) + test_dc_2d_run( + Path("./"), + max_iterations=20, + pytest=False, + ) diff --git a/tests/run_tests/driver_dc_p3d_test.py b/tests/run_tests/driver_dc_p3d_test.py new file mode 100644 index 00000000..1b919513 --- /dev/null +++ b/tests/run_tests/driver_dc_p3d_test.py @@ -0,0 +1,166 @@ +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' +# Copyright (c) 2023-2024 Mira Geoscience Ltd. +# All rights reserved. +# +# This file is part of simpeg-drivers. +# +# The software and information contained herein are proprietary to, and +# comprise valuable trade secrets of, Mira Geoscience, which +# intend to preserve as trade secrets such software and information. +# This software is furnished pursuant to a written license agreement and +# may be used, copied, transmitted, and stored only in accordance with +# the terms of such license and with the inclusion of the above copyright +# notice. This software and information or any other copies thereof may +# not be provided or otherwise made available to any other person. +# +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' + + +from __future__ import annotations + +import json +from pathlib import Path + +from geoh5py.groups import SimPEGGroup +from geoh5py.workspace import Workspace + +from simpeg_drivers.electricals.direct_current.pseudo_three_dimensions.driver import ( + DirectCurrentPseudo3DDriver, +) +from simpeg_drivers.electricals.direct_current.pseudo_three_dimensions.params import ( + DirectCurrentPseudo3DParams, +) +from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace +from simpeg_drivers.utils.utils import get_inversion_output + +# To test the full run and validate the inversion. +# Move this file out of the test directory and run. + +target_run = {"data_norm": 1.099, "phi_d": 4328, "phi_m": 1.217} + + +def test_dc_p3d_fwr_run( + tmp_path: Path, + n_electrodes=10, + n_lines=3, + refinement=(4, 6), +): + # Run the forward + geoh5, _, model, survey, topography = setup_inversion_workspace( + tmp_path, + background=0.01, + anomaly=10, + n_electrodes=n_electrodes, + n_lines=n_lines, + refinement=refinement, + inversion_type="dcip", + drape_height=0.0, + flatten=False, + ) + params = DirectCurrentPseudo3DParams( + forward_only=True, + geoh5=geoh5, + mesh=model.parent.uid, + u_cell_size=5.0, + v_cell_size=5.0, + depth_core=100.0, + expansion_factor=1.1, + padding_distance=100.0, + topography_object=topography.uid, + z_from_topo=False, + data_object=survey.uid, + starting_model=model.uid, + line_object=geoh5.get_entity("line_ids")[0].uid, + cleanup=True, + ) + params.workpath = tmp_path + fwr_driver = DirectCurrentPseudo3DDriver(params) + fwr_driver.run() + + +def test_dc_p3d_run( + tmp_path: Path, + max_iterations=1, + pytest=True, +): + workpath = tmp_path / "inversion_test.ui.geoh5" + if pytest: + workpath = tmp_path.parent / "test_dc_p3d_fwr_run0" / "inversion_test.ui.geoh5" + + with Workspace(workpath) as geoh5: + potential = geoh5.get_entity("Iteration_0_dc")[0] + out_group = geoh5.get_entity("Line 1")[0].parent + mesh = out_group.get_entity("mesh")[0] # Finds the octree mesh + topography = geoh5.get_entity("topography")[0] + + # Run the inverse + params = DirectCurrentPseudo3DParams( + geoh5=geoh5, + mesh=mesh.uid, + u_cell_size=5.0, + v_cell_size=5.0, + depth_core=100.0, + expansion_factor=1.1, + padding_distance=100.0, + topography_object=topography.uid, + data_object=potential.parent.uid, + potential_channel=potential.uid, + potential_uncertainty=1e-3, + line_object=geoh5.get_entity("line_ids")[0].uid, + starting_model=1e-2, + reference_model=1e-2, + s_norm=0.0, + x_norm=1.0, + y_norm=1.0, + z_norm=1.0, + gradient_type="components", + potential_channel_bool=True, + z_from_topo=False, + max_global_iterations=max_iterations, + initial_beta=None, + initial_beta_ratio=10.0, + prctile=100, + upper_bound=10, + coolingRate=1, + cleanup=False, + ) + params.write_input_file(path=tmp_path, name="Inv_run") + + driver = DirectCurrentPseudo3DDriver.start(str(tmp_path / "Inv_run.ui.json")) + + basepath = workpath.parent + with open(basepath / "lookup.json", encoding="utf8") as f: + lookup = json.load(f) + middle_line_id = [k for k, v in lookup.items() if v["line_id"] == 101][0] + + with Workspace(basepath / f"{middle_line_id}.ui.geoh5", mode="r") as workspace: + middle_inversion_group = [ + k for k in workspace.groups if isinstance(k, SimPEGGroup) + ][0] + filedata = middle_inversion_group.get_entity("SimPEG.out")[0] + + with driver.pseudo3d_params.out_group.workspace.open(mode="r+"): + filedata.copy(parent=driver.pseudo3d_params.out_group) + + output = get_inversion_output( + driver.pseudo3d_params.geoh5.h5file, driver.pseudo3d_params.out_group.uid + ) + if geoh5.open(): + output["data"] = potential.values + if pytest: + check_target(output, target_run) + + +if __name__ == "__main__": + # Full run + test_dc_p3d_fwr_run( + Path("./"), + n_electrodes=20, + n_lines=3, + refinement=(4, 8), + ) + test_dc_p3d_run( + Path("./"), + max_iterations=20, + pytest=False, + ) diff --git a/tests/run_tests/driver_dc_test.py b/tests/run_tests/driver_dc_test.py new file mode 100644 index 00000000..d1ddb42c --- /dev/null +++ b/tests/run_tests/driver_dc_test.py @@ -0,0 +1,190 @@ +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' +# Copyright (c) 2023-2024 Mira Geoscience Ltd. +# All rights reserved. +# +# This file is part of simpeg-drivers. +# +# The software and information contained herein are proprietary to, and +# comprise valuable trade secrets of, Mira Geoscience, which +# intend to preserve as trade secrets such software and information. +# This software is furnished pursuant to a written license agreement and +# may be used, copied, transmitted, and stored only in accordance with +# the terms of such license and with the inclusion of the above copyright +# notice. This software and information or any other copies thereof may +# not be provided or otherwise made available to any other person. +# +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' + +from __future__ import annotations + +from pathlib import Path + +import numpy as np +from geoh5py.workspace import Workspace + +from simpeg_drivers.electricals.direct_current.three_dimensions import ( + DirectCurrent3DParams, +) +from simpeg_drivers.electricals.direct_current.three_dimensions.driver import ( + DirectCurrent3DDriver, +) +from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace +from simpeg_drivers.utils.utils import get_inversion_output + +# To test the full run and validate the inversion. +# Move this file out of the test directory and run. + +target_run = {"data_norm": 0.15258, "phi_d": 32.28, "phi_m": 242.3} + + +def test_dc_3d_fwr_run( + tmp_path: Path, + n_electrodes=4, + n_lines=3, + refinement=(4, 6), +): + # Run the forward + geoh5, _, model, survey, topography = setup_inversion_workspace( + tmp_path, + background=0.01, + anomaly=10, + n_electrodes=n_electrodes, + n_lines=n_lines, + refinement=refinement, + drape_height=0.0, + inversion_type="dcip", + flatten=False, + ) + + # Randomly flip order of receivers + old = np.random.randint(0, survey.cells.shape[0], n_electrodes) + indices = np.ones(survey.cells.shape[0], dtype=bool) + indices[old] = False + + tx_id = np.r_[survey.ab_cell_id.values[indices], survey.ab_cell_id.values[~indices]] + cells = np.vstack([survey.cells[indices, :], survey.cells[~indices, :]]) + + survey.ab_cell_id = tx_id + survey.cells = cells + + geoh5.close() + + params = DirectCurrent3DParams( + forward_only=True, + geoh5=geoh5, + mesh=model.parent.uid, + topography_object=topography.uid, + z_from_topo=False, + data_object=survey.uid, + starting_model=model.uid, + resolution=None, + ) + params.workpath = tmp_path + fwr_driver = DirectCurrent3DDriver(params) + fwr_driver.run() + + +def test_dc_3d_run( + tmp_path: Path, + max_iterations=1, + pytest=True, + n_lines=3, +): + workpath = tmp_path / "inversion_test.ui.geoh5" + if pytest: + workpath = tmp_path.parent / "test_dc_3d_fwr_run0" / "inversion_test.ui.geoh5" + + with Workspace(workpath) as geoh5: + potential = geoh5.get_entity("Iteration_0_dc")[0] + mesh = geoh5.get_entity("mesh")[0] + topography = geoh5.get_entity("topography")[0] + + # Run the inverse + params = DirectCurrent3DParams( + geoh5=geoh5, + mesh=mesh.uid, + topography_object=topography.uid, + data_object=potential.parent.uid, + starting_model=1e-2, + reference_model=1e-2, + s_norm=0.0, + x_norm=1.0, + y_norm=1.0, + z_norm=1.0, + gradient_type="components", + potential_channel_bool=True, + z_from_topo=False, + potential_channel=potential.uid, + potential_uncertainty=1e-3, + max_global_iterations=max_iterations, + initial_beta=None, + initial_beta_ratio=10.0, + prctile=100, + upper_bound=10, + tile_spatial=n_lines, + store_sensitivities="ram", + coolingRate=1, + chi_factor=0.5, + ) + params.write_input_file(path=tmp_path, name="Inv_run") + + driver = DirectCurrent3DDriver.start(str(tmp_path / "Inv_run.ui.json")) + + output = get_inversion_output( + driver.params.geoh5.h5file, driver.params.out_group.uid + ) + if geoh5.open(): + output["data"] = potential.values + if pytest: + check_target(output, target_run) + + +def test_dc_single_line_fwr_run( + tmp_path: Path, + n_electrodes=4, + n_lines=1, + refinement=(4, 6), +): + # Run the forward + geoh5, _, model, survey, topography = setup_inversion_workspace( + tmp_path, + background=0.01, + anomaly=10, + n_electrodes=n_electrodes, + n_lines=n_lines, + refinement=refinement, + drape_height=0.0, + inversion_type="dcip", + flatten=False, + ) + params = DirectCurrent3DParams( + forward_only=True, + geoh5=geoh5, + mesh=model.parent.uid, + topography_object=topography.uid, + z_from_topo=False, + data_object=survey.uid, + starting_model=model.uid, + resolution=None, + ) + params.workpath = tmp_path + fwr_driver = DirectCurrent3DDriver(params) + assert np.all(fwr_driver.window.window["size"] > 0) + + +if __name__ == "__main__": + # Full run + + test_dc_3d_fwr_run( + Path("./"), + n_electrodes=20, + n_lines=5, + refinement=(4, 8), + ) + + test_dc_3d_run( + Path("./"), + n_lines=5, + max_iterations=15, + pytest=False, + ) diff --git a/tests/run_tests/driver_fem_test.py b/tests/run_tests/driver_fem_test.py new file mode 100644 index 00000000..117f9afd --- /dev/null +++ b/tests/run_tests/driver_fem_test.py @@ -0,0 +1,183 @@ +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' +# Copyright (c) 2023-2024 Mira Geoscience Ltd. +# All rights reserved. +# +# This file is part of simpeg-drivers. +# +# The software and information contained herein are proprietary to, and +# comprise valuable trade secrets of, Mira Geoscience, which +# intend to preserve as trade secrets such software and information. +# This software is furnished pursuant to a written license agreement and +# may be used, copied, transmitted, and stored only in accordance with +# the terms of such license and with the inclusion of the above copyright +# notice. This software and information or any other copies thereof may +# not be provided or otherwise made available to any other person. +# +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' + +# pylint: disable=too-many-locals + +from __future__ import annotations + +from pathlib import Path + +import numpy as np +from geoh5py import Workspace + +from simpeg_drivers.electromagnetics.frequency_domain.driver import ( + FrequencyDomainElectromagneticsDriver, +) +from simpeg_drivers.electromagnetics.frequency_domain.params import ( + FrequencyDomainElectromagneticsParams, +) +from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace +from simpeg_drivers.utils.utils import get_inversion_output + +# To test the full run and validate the inversion. +# Move this file out of the test directory and run. + +target_run = {"data_norm": 47.522882323952054, "phi_d": 364.5, "phi_m": 883.8} + + +def test_fem_fwr_run( + tmp_path: Path, + n_grid_points=3, + refinement=(2,), +): + # Run the forward + geoh5, _, model, survey, topography = setup_inversion_workspace( + tmp_path, + background=1e-3, + anomaly=1.0, + n_electrodes=n_grid_points, + n_lines=n_grid_points, + refinement=refinement, + drape_height=15.0, + padding_distance=400, + inversion_type="fem", + flatten=True, + ) + params = FrequencyDomainElectromagneticsParams( + forward_only=True, + geoh5=geoh5, + mesh=model.parent.uid, + topography_object=topography.uid, + resolution=0.0, + z_from_topo=False, + data_object=survey.uid, + starting_model=model.uid, + z_real_channel_bool=True, + z_imag_channel_bool=True, + ) + params.workpath = tmp_path + fwr_driver = FrequencyDomainElectromagneticsDriver(params) + fwr_driver.run() + geoh5.close() + + +def test_fem_run(tmp_path: Path, max_iterations=1, pytest=True): + workpath = tmp_path / "inversion_test.ui.geoh5" + if pytest: + workpath = tmp_path.parent / "test_fem_fwr_run0" / "inversion_test.ui.geoh5" + + with Workspace(workpath) as geoh5: + survey = geoh5.get_entity("Airborne_rx")[0].copy(copy_children=False) + mesh = geoh5.get_entity("mesh")[0] + topography = geoh5.get_entity("topography")[0] + data = {} + uncertainties = {} + components = { + "z_real": "z_real", + "z_imag": "z_imag", + } + + for comp, cname in components.items(): + data[cname] = [] + uncertainties[f"{cname} uncertainties"] = [] + for ind, freq in enumerate(survey.channels): + data_entity = geoh5.get_entity(f"Iteration_0_{comp}_[{ind}]")[0].copy( + parent=survey + ) + data[cname].append(data_entity) + abs_val = np.abs(data_entity.values) + uncert = survey.add_data( + { + f"uncertainty_{comp}_[{ind}]": { + "values": np.ones_like(abs_val) + * freq + / 200.0 # * 2**(np.abs(ind-1)) + } + } + ) + uncertainties[f"{cname} uncertainties"].append( + uncert.copy(parent=survey) + ) + + data_groups = survey.add_components_data(data) + uncert_groups = survey.add_components_data(uncertainties) + + data_kwargs = {} + for comp, data_group, uncert_group in zip( + components, data_groups, uncert_groups + ): + data_kwargs[f"{comp}_channel"] = data_group.uid + data_kwargs[f"{comp}_uncertainty"] = uncert_group.uid + + orig_z_real_1 = geoh5.get_entity("Iteration_0_z_real_[0]")[0].values + + # Run the inverse + params = FrequencyDomainElectromagneticsParams( + geoh5=geoh5, + mesh=mesh.uid, + topography_object=topography.uid, + resolution=0.0, + data_object=survey.uid, + starting_model=1e-3, + reference_model=1e-3, + alpha_s=0.0, + s_norm=0.0, + x_norm=0.0, + y_norm=0.0, + z_norm=0.0, + gradient_type="components", + z_from_topo=False, + upper_bound=0.75, + max_global_iterations=max_iterations, + initial_beta_ratio=1e1, + prctile=100, + coolingRate=3, + chi_factor=0.25, + store_sensitivities="ram", + sens_wts_threshold=1.0, + **data_kwargs, + ) + params.write_input_file(path=tmp_path, name="Inv_run") + driver = FrequencyDomainElectromagneticsDriver(params) + driver.run() + + with geoh5.open() as run_ws: + output = get_inversion_output( + driver.params.geoh5.h5file, driver.params.out_group.uid + ) + output["data"] = orig_z_real_1 + + assert ( + run_ws.get_entity("Iteration_1_z_imag_[1]")[0].entity_type.uid + == run_ws.get_entity("Observed_z_imag_[1]")[0].entity_type.uid + ) + + if pytest: + check_target(output, target_run, tolerance=0.5) + nan_ind = np.isnan(run_ws.get_entity("Iteration_0_model")[0].values) + inactive_ind = run_ws.get_entity("active_cells")[0].values == 0 + assert np.all(nan_ind == inactive_ind) + + +if __name__ == "__main__": + # Full run + test_fem_fwr_run(Path("./"), n_grid_points=5, refinement=(4, 4, 4)) + test_fem_run( + Path("./"), + max_iterations=15, + pytest=False, + ) diff --git a/tests/run_tests/driver_grav_test.py b/tests/run_tests/driver_grav_test.py new file mode 100644 index 00000000..e5309a5c --- /dev/null +++ b/tests/run_tests/driver_grav_test.py @@ -0,0 +1,153 @@ +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' +# Copyright (c) 2023-2024 Mira Geoscience Ltd. +# All rights reserved. +# +# This file is part of simpeg-drivers. +# +# The software and information contained herein are proprietary to, and +# comprise valuable trade secrets of, Mira Geoscience, which +# intend to preserve as trade secrets such software and information. +# This software is furnished pursuant to a written license agreement and +# may be used, copied, transmitted, and stored only in accordance with +# the terms of such license and with the inclusion of the above copyright +# notice. This software and information or any other copies thereof may +# not be provided or otherwise made available to any other person. +# +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' + +from __future__ import annotations + +from pathlib import Path + +import numpy as np +from geoh5py.workspace import Workspace + +from simpeg_drivers.potential_fields import GravityParams +from simpeg_drivers.potential_fields.gravity.driver import GravityDriver +from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace +from simpeg_drivers.utils.utils import get_inversion_output + +# To test the full run and validate the inversion. +# Move this file out of the test directory and run. + +target_run = {"data_norm": 0.0028055269276044915, "phi_d": 4.158e-05, "phi_m": 0.002882} + + +def test_gravity_fwr_run( + tmp_path: Path, + n_grid_points=2, + refinement=(2,), +): + # Run the forward + geoh5, _, model, survey, topography = setup_inversion_workspace( + tmp_path, + background=0.0, + anomaly=0.75, + n_electrodes=n_grid_points, + n_lines=n_grid_points, + refinement=refinement, + flatten=False, + ) + params = GravityParams( + forward_only=True, + geoh5=geoh5, + mesh=model.parent.uid, + topography_object=topography.uid, + z_from_topo=False, + data_object=survey.uid, + starting_model=model.uid, + ) + fwr_driver = GravityDriver(params) + fwr_driver.run() + + +def test_gravity_run( + tmp_path: Path, + max_iterations=1, + pytest=True, +): + workpath = tmp_path / "inversion_test.ui.geoh5" + if pytest: + workpath = tmp_path.parent / "test_gravity_fwr_run0" / "inversion_test.ui.geoh5" + + with Workspace(workpath) as geoh5: + gz = geoh5.get_entity("Iteration_0_gz")[0] + orig_gz = gz.values.copy() + mesh = geoh5.get_entity("mesh")[0] + topography = geoh5.get_entity("topography")[0] + + # Turn some values to nan + values = gz.values.copy() + values[0] = np.nan + gz.values = values + + # Run the inverse + params = GravityParams( + geoh5=geoh5, + mesh=mesh.uid, + topography_object=topography.uid, + data_object=gz.parent.uid, + starting_model=1e-4, + reference_model=0.0, + s_norm=0.0, + x_norm=0.0, + y_norm=0.0, + z_norm=0.0, + gradient_type="components", + gz_channel_bool=True, + z_from_topo=False, + gz_channel=gz.uid, + gz_uncertainty=2e-3, + lower_bound=0.0, + max_global_iterations=max_iterations, + initial_beta_ratio=1e-2, + prctile=100, + store_sensitivities="ram", + ) + params.write_input_file(path=tmp_path, name="Inv_run") + + driver = GravityDriver.start(str(tmp_path / "Inv_run.ui.json")) + + assert driver.params.data_object.uid != gz.parent.uid + assert driver.models.upper_bound is np.inf + + with Workspace(driver.params.geoh5.h5file) as run_ws: + output = get_inversion_output( + driver.params.geoh5.h5file, driver.params.out_group.uid + ) + + residual = run_ws.get_entity("Iteration_1_gz_Residual")[0] + assert np.isnan(residual.values).sum() == 1, "Number of nan residuals differ." + + predicted = [ + pred + for pred in run_ws.get_entity("Iteration_0_gz") + if pred.parent.parent.name == "Gravity Inversion" + ][0] + assert not any( + np.isnan(predicted.values) + ), "Predicted data should not have nans." + output["data"] = orig_gz + + assert len(run_ws.get_entity("SimPEG.log")) == 2 + + if pytest: + check_target(output, target_run) + nan_ind = np.isnan(run_ws.get_entity("Iteration_0_model")[0].values) + inactive_ind = run_ws.get_entity("active_cells")[0].values == 0 + assert np.all(nan_ind == inactive_ind) + + +if __name__ == "__main__": + # Full run + test_gravity_fwr_run( + Path("./"), + n_grid_points=20, + refinement=(4, 8), + ) + + test_gravity_run( + Path("./"), + max_iterations=15, + pytest=False, + ) diff --git a/tests/run_tests/driver_ground_tem_test.py b/tests/run_tests/driver_ground_tem_test.py new file mode 100644 index 00000000..adf11f4a --- /dev/null +++ b/tests/run_tests/driver_ground_tem_test.py @@ -0,0 +1,227 @@ +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' +# Copyright (c) 2023-2024 Mira Geoscience Ltd. +# All rights reserved. +# +# This file is part of simpeg-drivers. +# +# The software and information contained herein are proprietary to, and +# comprise valuable trade secrets of, Mira Geoscience, which +# intend to preserve as trade secrets such software and information. +# This software is furnished pursuant to a written license agreement and +# may be used, copied, transmitted, and stored only in accordance with +# the terms of such license and with the inclusion of the above copyright +# notice. This software and information or any other copies thereof may +# not be provided or otherwise made available to any other person. +# +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' + +from __future__ import annotations + +from pathlib import Path + +import numpy as np +from geoh5py.workspace import Workspace + +from simpeg_drivers.electromagnetics.time_domain import TimeDomainElectromagneticsParams +from simpeg_drivers.electromagnetics.time_domain.driver import ( + TimeDomainElectromagneticsDriver, +) +from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace +from simpeg_drivers.utils.utils import get_inversion_output + +# To test the full run and validate the inversion. +# Move this file out of the test directory and run. + +target_run = { + "data_norm": 5.95181e-7, + "phi_d": 43.29, + "phi_m": 443.1, +} + + +def test_tiling_ground_tem( + tmp_path: Path, + n_grid_points=4, + refinement=(2,), +): + # Run the forward + geoh5, _, model, survey, topography = setup_inversion_workspace( + tmp_path, + background=0.001, + anomaly=1.0, + n_electrodes=n_grid_points, + n_lines=n_grid_points, + refinement=refinement, + inversion_type="ground_tem", + drape_height=5.0, + padding_distance=1000.0, + flatten=True, + ) + + params = TimeDomainElectromagneticsParams( + forward_only=True, + geoh5=geoh5, + mesh=model.parent.uid, + topography_object=topography.uid, + resolution=0.0, + z_from_topo=False, + data_object=survey.uid, + starting_model=model.uid, + x_channel_bool=True, + y_channel_bool=True, + z_channel_bool=True, + tile_spatial=4, + ) + fwr_driver = TimeDomainElectromagneticsDriver(params) + + tiles = fwr_driver.get_tiles() + + assert len(tiles) == 4 + + for tile in tiles: + assert len(np.unique(survey.tx_id_property.values[tile])) == 1 + + fwr_driver.run() + + +def test_ground_tem_fwr_run( + tmp_path: Path, + n_grid_points=4, + refinement=(2,), +): + # Run the forward + geoh5, _, model, survey, topography = setup_inversion_workspace( + tmp_path, + background=0.001, + anomaly=1.0, + n_electrodes=n_grid_points, + n_lines=n_grid_points, + refinement=refinement, + inversion_type="ground_tem", + drape_height=5.0, + padding_distance=1000.0, + flatten=True, + ) + params = TimeDomainElectromagneticsParams( + forward_only=True, + geoh5=geoh5, + mesh=model.parent.uid, + topography_object=topography.uid, + resolution=0.0, + z_from_topo=False, + data_object=survey.uid, + starting_model=model.uid, + x_channel_bool=True, + y_channel_bool=True, + z_channel_bool=True, + ) + params.workpath = tmp_path + fwr_driver = TimeDomainElectromagneticsDriver(params) + fwr_driver.run() + + +def test_ground_tem_run(tmp_path: Path, max_iterations=1, pytest=True): + workpath = tmp_path / "inversion_test.ui.geoh5" + if pytest: + workpath = ( + tmp_path.parent / "test_ground_tem_fwr_run0" / "inversion_test.ui.geoh5" + ) + + with Workspace(workpath) as geoh5: + simpeg_group = geoh5.get_entity("Tdem Forward")[0] + survey = simpeg_group.get_entity("Ground TEM Rx")[0] + mesh = geoh5.get_entity("mesh")[0] + topography = geoh5.get_entity("topography")[0] + + data = {} + uncertainties = {} + components = { + "z": "dBzdt", + } + + for comp, cname in components.items(): + data[cname] = [] + uncertainties[f"{cname} uncertainties"] = [] + for ii, _ in enumerate(survey.channels): + data_entity = geoh5.get_entity(f"Iteration_0_{comp}_[{ii}]")[0].copy( + parent=survey + ) + data[cname].append(data_entity) + + uncert = survey.add_data( + { + f"uncertainty_{comp}_[{ii}]": { + "values": np.ones_like(data_entity.values) + * np.median(np.abs(data_entity.values)) + / 2.0 + } + } + ) + uncertainties[f"{cname} uncertainties"].append(uncert) + + survey.add_components_data(data) + survey.add_components_data(uncertainties) + + data_kwargs = {} + for comp in components: + data_kwargs[f"{comp}_channel"] = survey.find_or_create_property_group( + name=f"Iteration_0_{comp}" + ) + data_kwargs[f"{comp}_uncertainty"] = survey.find_or_create_property_group( + name=f"dB{comp}dt uncertainties" + ) + + orig_dBzdt = geoh5.get_entity("Iteration_0_z_[0]")[0].values + + # Run the inverse + params = TimeDomainElectromagneticsParams( + geoh5=geoh5, + mesh=mesh.uid, + topography_object=topography.uid, + resolution=0.0, + data_object=survey.uid, + starting_model=1e-3, + reference_model=1e-3, + chi_factor=0.1, + s_norm=2.0, + x_norm=2.0, + y_norm=2.0, + z_norm=2.0, + alpha_s=0e-1, + gradient_type="total", + z_from_topo=False, + lower_bound=2e-6, + upper_bound=1e2, + max_global_iterations=max_iterations, + initial_beta_ratio=1e1, + coolingRate=2, + max_cg_iterations=200, + prctile=100, + # sens_wts_threshold=1., + store_sensitivities="ram", + **data_kwargs, + ) + params.write_input_file(path=tmp_path, name="Inv_run") + + driver = TimeDomainElectromagneticsDriver.start(str(tmp_path / "Inv_run.ui.json")) + + with geoh5.open() as run_ws: + output = get_inversion_output( + driver.params.geoh5.h5file, driver.params.out_group.uid + ) + output["data"] = orig_dBzdt + if pytest: + check_target(output, target_run, tolerance=0.5) + nan_ind = np.isnan(run_ws.get_entity("Iteration_0_model")[0].values) + inactive_ind = run_ws.get_entity("active_cells")[0].values == 0 + assert np.all(nan_ind == inactive_ind) + + +if __name__ == "__main__": + # Full run + test_ground_tem_fwr_run(Path("./"), n_grid_points=5, refinement=(2, 2, 2)) + test_ground_tem_run( + Path("./"), + max_iterations=15, + pytest=False, + ) diff --git a/tests/run_tests/driver_ip_2d_test.py b/tests/run_tests/driver_ip_2d_test.py new file mode 100644 index 00000000..4acd2438 --- /dev/null +++ b/tests/run_tests/driver_ip_2d_test.py @@ -0,0 +1,141 @@ +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' +# Copyright (c) 2023-2024 Mira Geoscience Ltd. +# All rights reserved. +# +# This file is part of simpeg-drivers. +# +# The software and information contained herein are proprietary to, and +# comprise valuable trade secrets of, Mira Geoscience, which +# intend to preserve as trade secrets such software and information. +# This software is furnished pursuant to a written license agreement and +# may be used, copied, transmitted, and stored only in accordance with +# the terms of such license and with the inclusion of the above copyright +# notice. This software and information or any other copies thereof may +# not be provided or otherwise made available to any other person. +# +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' + +from __future__ import annotations + +from pathlib import Path + +import numpy as np +from geoh5py.workspace import Workspace + +from simpeg_drivers.electricals.induced_polarization.two_dimensions import ( + InducedPolarization2DParams, +) +from simpeg_drivers.electricals.induced_polarization.two_dimensions.driver import ( + InducedPolarization2DDriver, +) +from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace +from simpeg_drivers.utils.utils import get_inversion_output + +# To test the full run and validate the inversion. +# Move this file out of the test directory and run. + +target_run = {"data_norm": 0.09141, "phi_d": 9643, "phi_m": 0.1699} + + +def test_ip_2d_fwr_run( + tmp_path: Path, + n_electrodes=10, + n_lines=3, + refinement=(4, 6), +): + # Run the forward + geoh5, _, model, survey, topography = setup_inversion_workspace( + tmp_path, + background=1e-6, + anomaly=1e-1, + n_electrodes=n_electrodes, + n_lines=n_lines, + refinement=refinement, + inversion_type="dcip_2d", + flatten=False, + drape_height=0.0, + ) + params = InducedPolarization2DParams( + forward_only=True, + geoh5=geoh5, + mesh=model.parent.uid, + topography_object=topography.uid, + z_from_topo=True, + data_object=survey.uid, + starting_model=model.uid, + conductivity_model=1e-2, + line_object=geoh5.get_entity("line_ids")[0].uid, + line_id=101, + ) + params.workpath = tmp_path + fwr_driver = InducedPolarization2DDriver(params) + fwr_driver.run() + + +def test_ip_2d_run( + tmp_path: Path, + max_iterations=1, + pytest=True, +): + workpath = tmp_path / "inversion_test.ui.geoh5" + if pytest: + workpath = tmp_path.parent / "test_ip_2d_fwr_run0" / "inversion_test.ui.geoh5" + + with Workspace(workpath) as geoh5: + chargeability = geoh5.get_entity("Iteration_0_ip")[0] + mesh = geoh5.get_entity("Models")[0] + topography = geoh5.get_entity("topography")[0] + + # Run the inverse + params = InducedPolarization2DParams( + geoh5=geoh5, + mesh=mesh.uid, + topography_object=topography.uid, + data_object=chargeability.parent.uid, + chargeability_channel=chargeability.uid, + chargeability_uncertainty=2e-4, + line_object=geoh5.get_entity("line_ids")[0].uid, + line_id=101, + starting_model=1e-6, + reference_model=1e-6, + conductivity_model=1e-2, + s_norm=0.0, + x_norm=0.0, + z_norm=0.0, + gradient_type="components", + chargeability_channel_bool=True, + z_from_topo=True, + max_global_iterations=max_iterations, + initial_beta=None, + initial_beta_ratio=1e0, + prctile=100, + upper_bound=0.1, + store_sensitivities="ram", + coolingRate=1, + ) + params.write_input_file(path=tmp_path, name="Inv_run") + + driver = InducedPolarization2DDriver.start(str(tmp_path / "Inv_run.ui.json")) + + output = get_inversion_output( + driver.params.geoh5.h5file, driver.params.out_group.uid + ) + if geoh5.open(): + output["data"] = chargeability.values[np.isfinite(chargeability.values)] + if pytest: + check_target(output, target_run) + + +if __name__ == "__main__": + # Full run + test_ip_2d_fwr_run( + Path("./"), + n_electrodes=20, + n_lines=3, + refinement=(4, 8), + ) + test_ip_2d_run( + Path("./"), + max_iterations=20, + pytest=False, + ) diff --git a/tests/run_tests/driver_ip_p3d_test.py b/tests/run_tests/driver_ip_p3d_test.py new file mode 100644 index 00000000..4613e30b --- /dev/null +++ b/tests/run_tests/driver_ip_p3d_test.py @@ -0,0 +1,168 @@ +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' +# Copyright (c) 2023-2024 Mira Geoscience Ltd. +# All rights reserved. +# +# This file is part of simpeg-drivers. +# +# The software and information contained herein are proprietary to, and +# comprise valuable trade secrets of, Mira Geoscience, which +# intend to preserve as trade secrets such software and information. +# This software is furnished pursuant to a written license agreement and +# may be used, copied, transmitted, and stored only in accordance with +# the terms of such license and with the inclusion of the above copyright +# notice. This software and information or any other copies thereof may +# not be provided or otherwise made available to any other person. +# +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' + +from __future__ import annotations + +import json +from pathlib import Path + +from geoh5py.groups import SimPEGGroup +from geoh5py.workspace import Workspace + +from simpeg_drivers.electricals.induced_polarization.pseudo_three_dimensions.driver import ( + InducedPolarizationPseudo3DDriver, +) +from simpeg_drivers.electricals.induced_polarization.pseudo_three_dimensions.params import ( + InducedPolarizationPseudo3DParams, +) +from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace +from simpeg_drivers.utils.utils import get_inversion_output + +# To test the full run and validate the inversion. +# Move this file out of the test directory and run. + +target_run = {"data_norm": 0.08768, "phi_d": 9644, "phi_m": 0.216} + + +def test_ip_p3d_fwr_run( + tmp_path: Path, + n_electrodes=10, + n_lines=3, + refinement=(4, 6), +): + # Run the forward + geoh5, _, model, survey, topography = setup_inversion_workspace( + tmp_path, + background=1e-6, + anomaly=1e-1, + n_electrodes=n_electrodes, + n_lines=n_lines, + refinement=refinement, + inversion_type="dcip", + drape_height=0.0, + flatten=False, + ) + + params = InducedPolarizationPseudo3DParams( + forward_only=True, + geoh5=geoh5, + mesh=model.parent.uid, + u_cell_size=5.0, + v_cell_size=5.0, + depth_core=100.0, + expansion_factor=1.1, + padding_distance=100.0, + topography_object=topography.uid, + z_from_topo=True, + data_object=survey.uid, + conductivity_model=1e-2, + starting_model=model.uid, + line_object=geoh5.get_entity("line_ids")[0].uid, + cleanup=True, + ) + params.workpath = tmp_path + fwr_driver = InducedPolarizationPseudo3DDriver(params) + fwr_driver.run() + + +def test_ip_p3d_run( + tmp_path, + max_iterations=1, + pytest=True, +): + workpath = tmp_path / "inversion_test.ui.geoh5" + if pytest: + workpath = tmp_path.parent / "test_ip_p3d_fwr_run0" / "inversion_test.ui.geoh5" + + with Workspace(workpath) as geoh5: + chargeability = geoh5.get_entity("Iteration_0_ip")[0] + out_group = geoh5.get_entity("Line 1")[0].parent + mesh = out_group.get_entity("mesh")[0] # Finds the octree mesh + topography = geoh5.get_entity("topography")[0] + + # Run the inverse + params = InducedPolarizationPseudo3DParams( + geoh5=geoh5, + mesh=mesh.uid, + u_cell_size=5.0, + v_cell_size=5.0, + depth_core=100.0, + expansion_factor=1.1, + padding_distance=100.0, + topography_object=topography.uid, + data_object=chargeability.parent.uid, + chargeability_channel=chargeability.uid, + chargeability_uncertainty=2e-4, + line_object=geoh5.get_entity("line_ids")[0].uid, + conductivity_model=1e-2, + starting_model=1e-6, + reference_model=1e-6, + s_norm=0.0, + x_norm=0.0, + y_norm=0.0, + z_norm=0.0, + gradient_type="components", + chargeability_channel_bool=True, + z_from_topo=True, + max_global_iterations=max_iterations, + initial_beta=None, + initial_beta_ratio=1e0, + prctile=100, + upper_bound=0.1, + coolingRate=1, + cleanup=False, + ) + params.write_input_file(path=tmp_path, name="Inv_run") + + driver = InducedPolarizationPseudo3DDriver.start(str(tmp_path / "Inv_run.ui.json")) + + basepath = workpath.parent + with open(basepath / "lookup.json", encoding="utf8") as f: + lookup = json.load(f) + middle_line_id = [k for k, v in lookup.items() if v["line_id"] == 101][0] + + with Workspace(basepath / f"{middle_line_id}.ui.geoh5", mode="r") as workspace: + middle_inversion_group = [ + k for k in workspace.groups if isinstance(k, SimPEGGroup) + ][0] + filedata = middle_inversion_group.get_entity("SimPEG.out")[0] + + with driver.pseudo3d_params.out_group.workspace.open(mode="r+"): + filedata.copy(parent=driver.pseudo3d_params.out_group) + + output = get_inversion_output( + driver.pseudo3d_params.geoh5.h5file, driver.pseudo3d_params.out_group.uid + ) + if geoh5.open(): + output["data"] = chargeability.values + if pytest: + check_target(output, target_run) + + +if __name__ == "__main__": + # Full run + test_ip_p3d_fwr_run( + Path("./"), + n_electrodes=20, + n_lines=3, + refinement=(4, 8), + ) + test_ip_p3d_run( + Path("./"), + max_iterations=20, + pytest=False, + ) diff --git a/tests/run_tests/driver_ip_test.py b/tests/run_tests/driver_ip_test.py new file mode 100644 index 00000000..1e709ff8 --- /dev/null +++ b/tests/run_tests/driver_ip_test.py @@ -0,0 +1,139 @@ +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' +# Copyright (c) 2023-2024 Mira Geoscience Ltd. +# All rights reserved. +# +# This file is part of simpeg-drivers. +# +# The software and information contained herein are proprietary to, and +# comprise valuable trade secrets of, Mira Geoscience, which +# intend to preserve as trade secrets such software and information. +# This software is furnished pursuant to a written license agreement and +# may be used, copied, transmitted, and stored only in accordance with +# the terms of such license and with the inclusion of the above copyright +# notice. This software and information or any other copies thereof may +# not be provided or otherwise made available to any other person. +# +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' + +from __future__ import annotations + +from pathlib import Path + +from geoh5py.workspace import Workspace + +from simpeg_drivers.electricals.induced_polarization.three_dimensions import ( + InducedPolarization3DParams, +) +from simpeg_drivers.electricals.induced_polarization.three_dimensions.driver import ( + InducedPolarization3DDriver, +) +from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace +from simpeg_drivers.utils.utils import get_inversion_output + +# To test the full run and validate the inversion. +# Move this file out of the test directory and run. + +target_run = {"data_norm": 0.008494, "phi_d": 1.675, "phi_m": 0.6426} + + +def test_ip_3d_fwr_run( + tmp_path: Path, + n_electrodes=4, + n_lines=3, + refinement=(4, 6), +): + # Run the forward + geoh5, _, model, survey, topography = setup_inversion_workspace( + tmp_path, + background=1e-6, + anomaly=1e-1, + n_electrodes=n_electrodes, + n_lines=n_lines, + refinement=refinement, + drape_height=0.0, + inversion_type="dcip", + flatten=False, + ) + params = InducedPolarization3DParams( + forward_only=True, + geoh5=geoh5, + mesh=model.parent.uid, + topography_object=topography.uid, + z_from_topo=True, + data_object=survey.uid, + starting_model=model.uid, + conductivity_model=1e-2, + ) + params.workpath = tmp_path + fwr_driver = InducedPolarization3DDriver(params) + fwr_driver.run() + + +def test_ip_3d_run( + tmp_path: Path, + max_iterations=1, + pytest=True, + n_lines=3, +): + workpath = tmp_path / "inversion_test.ui.geoh5" + if pytest: + workpath = tmp_path.parent / "test_ip_3d_fwr_run0" / "inversion_test.ui.geoh5" + + with Workspace(workpath) as geoh5: + potential = geoh5.get_entity("Iteration_0_ip")[0] + mesh = geoh5.get_entity("mesh")[0] + topography = geoh5.get_entity("topography")[0] + + # Run the inverse + params = InducedPolarization3DParams( + geoh5=geoh5, + mesh=mesh.uid, + topography_object=topography.uid, + data_object=potential.parent.uid, + conductivity_model=1e-2, + reference_model=1e-6, + starting_model=1e-6, + s_norm=0.0, + x_norm=0.0, + y_norm=0.0, + z_norm=0.0, + gradient_type="components", + chargeability_channel_bool=True, + z_from_topo=False, + chargeability_channel=potential.uid, + chargeability_uncertainty=2e-4, + max_global_iterations=max_iterations, + initial_beta=None, + initial_beta_ratio=1e0, + prctile=100, + upper_bound=0.1, + tile_spatial=n_lines, + store_sensitivities="ram", + coolingRate=1, + ) + params.write_input_file(path=tmp_path, name="Inv_run") + driver = InducedPolarization3DDriver.start(str(tmp_path / "Inv_run.ui.json")) + + output = get_inversion_output( + driver.params.geoh5.h5file, driver.params.out_group.uid + ) + if geoh5.open(): + output["data"] = potential.values + if pytest: + check_target(output, target_run) + + +if __name__ == "__main__": + # Full run + test_ip_3d_fwr_run( + Path("./"), + n_electrodes=20, + n_lines=5, + refinement=(4, 8), + ) + test_ip_3d_run( + Path("./"), + n_lines=5, + max_iterations=15, + pytest=False, + ) diff --git a/tests/run_tests/driver_joint_cross_gradient_test.py b/tests/run_tests/driver_joint_cross_gradient_test.py new file mode 100644 index 00000000..4a92bf65 --- /dev/null +++ b/tests/run_tests/driver_joint_cross_gradient_test.py @@ -0,0 +1,276 @@ +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' +# Copyright (c) 2023-2024 Mira Geoscience Ltd. +# All rights reserved. +# +# This file is part of simpeg-drivers. +# +# The software and information contained herein are proprietary to, and +# comprise valuable trade secrets of, Mira Geoscience, which +# intend to preserve as trade secrets such software and information. +# This software is furnished pursuant to a written license agreement and +# may be used, copied, transmitted, and stored only in accordance with +# the terms of such license and with the inclusion of the above copyright +# notice. This software and information or any other copies thereof may +# not be provided or otherwise made available to any other person. +# +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' + +from pathlib import Path + +import numpy as np +from geoh5py.data import FloatData +from geoh5py.groups import SimPEGGroup +from geoh5py.workspace import Workspace + +from simpeg_drivers.electricals.direct_current.three_dimensions import ( + DirectCurrent3DParams, +) +from simpeg_drivers.electricals.direct_current.three_dimensions.driver import ( + DirectCurrent3DDriver, +) +from simpeg_drivers.joint.joint_cross_gradient import JointCrossGradientParams +from simpeg_drivers.joint.joint_cross_gradient.driver import JointCrossGradientDriver +from simpeg_drivers.potential_fields import GravityParams, MagneticVectorParams +from simpeg_drivers.potential_fields.gravity.driver import GravityDriver +from simpeg_drivers.potential_fields.magnetic_vector.driver import MagneticVectorDriver +from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace +from simpeg_drivers.utils.utils import get_inversion_output + +# To test the full run and validate the inversion. +# Move this file out of the test directory and run. + +target_run = {"data_norm": 53.29600188902931, "phi_d": 534.7, "phi_m": 0.2942} + + +def test_joint_cross_gradient_fwr_run( + tmp_path, + n_grid_points=4, + n_lines=3, + refinement=(2,), +): + # Create local problem A + geoh5, _, model, survey, topography = setup_inversion_workspace( + tmp_path, + background=0.0, + anomaly=0.75, + drape_height=15.0, + refinement=refinement, + n_electrodes=n_grid_points, + n_lines=n_grid_points, + ) + params = GravityParams( + forward_only=True, + geoh5=geoh5, + mesh=model.parent.uid, + topography_object=topography.uid, + resolution=0.0, + z_from_topo=False, + data_object=survey.uid, + starting_model=model.uid, + ) + fwr_driver_a = GravityDriver(params) + + _, _, model, survey, _ = setup_inversion_workspace( + tmp_path, + geoh5=geoh5, + background=0.0, + anomaly=0.05, + drape_height=15.0, + refinement=refinement, + n_electrodes=n_grid_points, + n_lines=n_grid_points, + flatten=False, + ) + inducing_field = (50000.0, 90.0, 0.0) + params = MagneticVectorParams( + forward_only=True, + geoh5=geoh5, + mesh=model.parent.uid, + topography_object=topography.uid, + inducing_field_strength=inducing_field[0], + inducing_field_inclination=inducing_field[1], + inducing_field_declination=inducing_field[2], + resolution=0.0, + z_from_topo=False, + data_object=survey.uid, + starting_model=model.uid, + ) + params.workpath = tmp_path + fwr_driver_b = MagneticVectorDriver(params) + + _, _, model, survey, _ = setup_inversion_workspace( + tmp_path, + geoh5=geoh5, + background=0.01, + anomaly=10, + n_electrodes=n_grid_points, + n_lines=n_lines, + refinement=refinement, + drape_height=0.0, + inversion_type="dcip", + flatten=False, + ) + params = DirectCurrent3DParams( + forward_only=True, + geoh5=geoh5, + mesh=model.parent.uid, + topography_object=topography.uid, + data_object=survey.uid, + starting_model=model.uid, + ) + fwr_driver_c = DirectCurrent3DDriver(params) + fwr_driver_c.inversion_data.entity.name = "survey" + + # Force co-location of meshes + for driver in [fwr_driver_b, fwr_driver_c]: + driver.inversion_mesh.entity.origin = fwr_driver_a.inversion_mesh.entity.origin + driver.workspace.update_attribute(driver.inversion_mesh.entity, "attributes") + driver.inversion_mesh._mesh = None # pylint: disable=protected-access + + fwr_driver_a.run() + fwr_driver_b.run() + fwr_driver_c.run() + + +def test_joint_cross_gradient_inv_run( + tmp_path, + max_iterations=1, + n_lines=3, + pytest=True, +): + workpath = tmp_path / "inversion_test.ui.geoh5" + if pytest: + workpath = ( + tmp_path.parent + / "test_joint_cross_gradient_fwr_0" + / "inversion_test.ui.geoh5" + ) + + with Workspace(workpath) as geoh5: + topography = geoh5.get_entity("topography")[0] + drivers = [] + orig_data = [] + + for group_name in [ + "Gravity Forward", + "Magnetic vector Forward", + "Direct current 3d Forward", + ]: + group = geoh5.get_entity(group_name)[0] + + if not isinstance(group, SimPEGGroup): + continue + + mesh = group.get_entity("mesh")[0] + survey = group.get_entity("survey")[0] + + data = None + for child in survey.children: + if isinstance(child, FloatData): + data = child + + if data is None: + raise ValueError("No data found in survey") + + orig_data.append(data.values) + + if group.options["inversion_type"] == "gravity": + params = GravityParams( + geoh5=geoh5, + mesh=mesh.uid, + alpha_s=0.0, + topography_object=topography.uid, + data_object=survey.uid, + gz_channel=data.uid, + gz_uncertainty=1e-3, + starting_model=0.0, + ) + drivers.append(GravityDriver(params)) + elif group.options["inversion_type"] == "direct current 3d": + params = DirectCurrent3DParams( + geoh5=geoh5, + mesh=mesh.uid, + alpha_s=0.0, + topography_object=topography.uid, + data_object=survey.uid, + potential_channel=data.uid, + potential_uncertainty=1e-3, + tile_spatial=n_lines, + starting_model=1e-2, + reference_model=1e-2, + ) + drivers.append(DirectCurrent3DDriver(params)) + else: + params = MagneticVectorParams( + geoh5=geoh5, + mesh=mesh.uid, + alpha_s=0.0, + topography_object=topography.uid, + inducing_field_strength=group.options["inducing_field_strength"][ + "value" + ], + inducing_field_inclination=group.options[ + "inducing_field_inclination" + ]["value"], + inducing_field_declination=group.options[ + "inducing_field_declination" + ]["value"], + data_object=survey.uid, + starting_model=1e-4, + reference_model=0.0, + tile_spatial=1, + tmi_channel=data.uid, + tmi_uncertainty=1e0, + ) + drivers.append(MagneticVectorDriver(params)) + + # Run the inverse + joint_params = JointCrossGradientParams( + geoh5=geoh5, + topography_object=topography.uid, + group_a=drivers[0].params.out_group, + group_a_multiplier=1e-2, + group_b=drivers[1].params.out_group, + group_b_multiplier=1e-2, + group_c=drivers[2].params.out_group, + max_global_iterations=max_iterations, + initial_beta_ratio=1e2, + cross_gradient_weight_a_b=5e0, + cross_gradient_weight_c_a=5e0, + cross_gradient_weight_c_b=5e0, + s_norm=0.0, + x_norm=0.0, + y_norm=0.0, + z_norm=0.0, + gradient_type="components", + prctile=100, + store_sensitivities="ram", + ) + + driver = JointCrossGradientDriver(joint_params) + driver.run() + + with Workspace(driver.params.geoh5.h5file): + output = get_inversion_output( + driver.params.geoh5.h5file, driver.params.out_group.uid + ) + + output["data"] = np.hstack(orig_data) + if pytest: + check_target(output, target_run) + + +if __name__ == "__main__": + # Full run + test_joint_cross_gradient_fwr_run( + Path("./"), + n_grid_points=16, + n_lines=5, + refinement=(4, 8), + ) + test_joint_cross_gradient_inv_run( + Path("./"), + max_iterations=20, + n_lines=5, + pytest=False, + ) diff --git a/tests/run_tests/driver_joint_surveys_test.py b/tests/run_tests/driver_joint_surveys_test.py new file mode 100644 index 00000000..fc26fc9c --- /dev/null +++ b/tests/run_tests/driver_joint_surveys_test.py @@ -0,0 +1,188 @@ +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' +# Copyright (c) 2023-2024 Mira Geoscience Ltd. +# All rights reserved. +# +# This file is part of simpeg-drivers. +# +# The software and information contained herein are proprietary to, and +# comprise valuable trade secrets of, Mira Geoscience, which +# intend to preserve as trade secrets such software and information. +# This software is furnished pursuant to a written license agreement and +# may be used, copied, transmitted, and stored only in accordance with +# the terms of such license and with the inclusion of the above copyright +# notice. This software and information or any other copies thereof may +# not be provided or otherwise made available to any other person. +# +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' + +from pathlib import Path + +import numpy as np +from geoh5py.objects import Octree +from geoh5py.workspace import Workspace + +from simpeg_drivers.joint.joint_surveys import JointSurveysParams +from simpeg_drivers.joint.joint_surveys.driver import JointSurveyDriver +from simpeg_drivers.potential_fields import GravityParams +from simpeg_drivers.potential_fields.gravity.driver import GravityDriver +from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace +from simpeg_drivers.utils.utils import get_inversion_output + +# To test the full run and validate the inversion. +# Move this file out of the test directory and run. + +target_run = {"data_norm": 0.2997791602206556, "phi_d": 705.3, "phi_m": 74.54} + + +def test_joint_surveys_fwr_run( + tmp_path, + n_grid_points=6, + refinement=(2,), +): + # Create local problem A + geoh5, _, model, survey, topography = setup_inversion_workspace( + tmp_path, + background=0.0, + anomaly=0.75, + refinement=refinement, + n_electrodes=n_grid_points, + n_lines=n_grid_points, + ) + params = GravityParams( + forward_only=True, + geoh5=geoh5, + mesh=model.parent.uid, + topography_object=topography.uid, + resolution=0.0, + z_from_topo=False, + data_object=survey.uid, + starting_model=model.uid, + ) + fwr_driver_a = GravityDriver(params) + fwr_driver_a.out_group.name = "Gravity Forward [0]" + + # Create local problem B + _, _, model, survey, _ = setup_inversion_workspace( + tmp_path, + background=0.0, + anomaly=0.75, + refinement=[0, 2], + n_electrodes=int(n_grid_points / 2), + n_lines=int(n_grid_points / 2), + flatten=False, + geoh5=geoh5, + drape_height=10.0, + ) + params = GravityParams( + forward_only=True, + geoh5=geoh5, + mesh=model.parent.uid, + topography_object=topography.uid, + resolution=0.0, + z_from_topo=False, + data_object=survey.uid, + starting_model=model.uid, + ) + fwr_driver_b = GravityDriver(params) + fwr_driver_b.out_group.name = "Gravity Forward [1]" + + # Force co-location of meshes + fwr_driver_b.inversion_mesh.entity.origin = ( + fwr_driver_a.inversion_mesh.entity.origin + ) + fwr_driver_b.workspace.update_attribute( + fwr_driver_b.inversion_mesh.entity, "attributes" + ) + fwr_driver_b.inversion_mesh._mesh = None # pylint: disable=protected-access + fwr_driver_a.run() + fwr_driver_b.run() + geoh5.close() + + +def test_joint_surveys_inv_run( + tmp_path, + max_iterations=1, + unittest=True, +): + workpath = tmp_path / "inversion_test.ui.geoh5" + if unittest: + workpath = ( + tmp_path.parent / "test_joint_surveys_fwr_run0" / "inversion_test.ui.geoh5" + ) + + with Workspace(workpath) as geoh5: + topography = geoh5.get_entity("topography")[0] + drivers = [] + orig_data = [] + mesh = None + for ind in range(2): + group = geoh5.get_entity(f"Gravity Forward [{ind}]")[0] + survey = geoh5.get_entity(group.options["data_object"]["value"])[0] + for child in group.children: + if isinstance(child, Octree): + mesh = child + else: + survey = child + + if mesh is None: + raise ValueError("No mesh found in the group.") + + gz = survey.get_data("Iteration_0_gz")[0] + orig_data.append(gz.values) + params = GravityParams( + geoh5=geoh5, + mesh=mesh.uid, + topography_object=topography.uid, + data_object=survey.uid, + gz_channel=gz.uid, + gz_uncertainty=np.var(gz.values) * 2.0, + starting_model=0.0, + ) + drivers.append(GravityDriver(params)) + + # Run the inverse + joint_params = JointSurveysParams( + geoh5=geoh5, + topography_object=topography.uid, + mesh=drivers[0].params.mesh, + group_a=drivers[0].params.out_group, + group_b=drivers[1].params.out_group, + starting_model=1e-4, + reference_model=0.0, + s_norm=0.0, + x_norm=0.0, + y_norm=0.0, + z_norm=0.0, + gradient_type="components", + lower_bound=0.0, + max_global_iterations=max_iterations, + initial_beta_ratio=1e-2, + prctile=100, + store_sensitivities="ram", + ) + + driver = JointSurveyDriver(joint_params) + driver.run() + + with Workspace(driver.params.geoh5.h5file): + output = get_inversion_output( + driver.params.geoh5.h5file, driver.params.out_group.uid + ) + output["data"] = np.hstack(orig_data) + + if unittest: + check_target(output, target_run) + + +if __name__ == "__main__": + # Full run + test_joint_surveys_fwr_run( + Path("./"), + n_grid_points=20, + refinement=(4, 8), + ) + test_joint_surveys_inv_run( + Path("./"), + max_iterations=20, + unittest=False, + ) diff --git a/tests/run_tests/driver_mag_test.py b/tests/run_tests/driver_mag_test.py new file mode 100644 index 00000000..3b341d69 --- /dev/null +++ b/tests/run_tests/driver_mag_test.py @@ -0,0 +1,140 @@ +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' +# Copyright (c) 2023-2024 Mira Geoscience Ltd. +# All rights reserved. +# +# This file is part of simpeg-drivers. +# +# The software and information contained herein are proprietary to, and +# comprise valuable trade secrets of, Mira Geoscience, which +# intend to preserve as trade secrets such software and information. +# This software is furnished pursuant to a written license agreement and +# may be used, copied, transmitted, and stored only in accordance with +# the terms of such license and with the inclusion of the above copyright +# notice. This software and information or any other copies thereof may +# not be provided or otherwise made available to any other person. +# +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' + +from __future__ import annotations + +from pathlib import Path + +import numpy as np +from geoh5py.workspace import Workspace + +from simpeg_drivers.potential_fields import MagneticScalarParams +from simpeg_drivers.potential_fields.magnetic_scalar.driver import MagneticScalarDriver +from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace +from simpeg_drivers.utils.utils import get_inversion_output + +# To test the full run and validate the inversion. +# Move this file out of the test directory and run. + +target_run = {"data_norm": 8.71227951689941, "phi_d": 18.76, "phi_m": 5.717e-06} + + +def test_susceptibility_fwr_run( + tmp_path: Path, + n_grid_points=2, + refinement=(2,), +): + inducing_field = (49999.8, 90.0, 0.0) + # Run the forward + geoh5, _, model, survey, topography = setup_inversion_workspace( + tmp_path, + background=0.0, + anomaly=0.05, + refinement=refinement, + n_electrodes=n_grid_points, + n_lines=n_grid_points, + flatten=False, + ) + params = MagneticScalarParams( + forward_only=True, + geoh5=geoh5, + mesh=model.parent.uid, + topography_object=topography.uid, + inducing_field_strength=inducing_field[0], + inducing_field_inclination=inducing_field[1], + inducing_field_declination=inducing_field[2], + z_from_topo=False, + data_object=survey.uid, + starting_model=model.uid, + ) + params.workpath = tmp_path + fwr_driver = MagneticScalarDriver(params) + fwr_driver.run() + + assert fwr_driver.inversion_data.survey.source_field.amplitude == inducing_field[0] + + assert params.out_group is not None + assert params.out_group.options + + +def test_susceptibility_run( + tmp_path: Path, + max_iterations=1, + pytest=True, +): + workpath = tmp_path / "inversion_test.ui.geoh5" + if pytest: + workpath = ( + tmp_path.parent / "test_susceptibility_fwr_run0" / "inversion_test.ui.geoh5" + ) + + with Workspace(workpath) as geoh5: + tmi = geoh5.get_entity("Iteration_0_tmi")[0] + orig_tmi = tmi.values.copy() + mesh = geoh5.get_entity("mesh")[0] + topography = geoh5.get_entity("topography")[0] + inducing_field = (50000.0, 90.0, 0.0) + + # Run the inverse + params = MagneticScalarParams( + geoh5=geoh5, + mesh=mesh.uid, + topography_object=topography.uid, + inducing_field_strength=inducing_field[0], + inducing_field_inclination=inducing_field[1], + inducing_field_declination=inducing_field[2], + data_object=tmi.parent.uid, + starting_model=1e-4, + reference_model=0.0, + s_norm=0.0, + x_norm=1.0, + y_norm=1.0, + z_norm=1.0, + gradient_type="components", + lower_bound=0.0, + tmi_channel_bool=True, + z_from_topo=False, + tmi_channel=tmi.uid, + tmi_uncertainty=1.0, + max_global_iterations=max_iterations, + store_sensitivities="ram", + ) + params.write_input_file(path=tmp_path, name="Inv_run") + + driver = MagneticScalarDriver.start(str(tmp_path / "Inv_run.ui.json")) + + with Workspace(driver.params.geoh5.h5file) as run_ws: + output = get_inversion_output( + driver.params.geoh5.h5file, driver.params.out_group.uid + ) + output["data"] = orig_tmi + assert ( + run_ws.get_entity("Iteration_1_tmi")[0].entity_type.uid + == run_ws.get_entity("Observed_tmi")[0].entity_type.uid + ) + + if pytest: + check_target(output, target_run) + nan_ind = np.isnan(run_ws.get_entity("Iteration_0_model")[0].values) + inactive_ind = run_ws.get_entity("active_cells")[0].values == 0 + assert np.all(nan_ind == inactive_ind) + + +if __name__ == "__main__": + # Full run + test_susceptibility_fwr_run(Path("./"), n_grid_points=20, refinement=(4, 8)) + test_susceptibility_run(Path("./"), max_iterations=30, pytest=False) diff --git a/tests/run_tests/driver_mvi_test.py b/tests/run_tests/driver_mvi_test.py new file mode 100644 index 00000000..339d8828 --- /dev/null +++ b/tests/run_tests/driver_mvi_test.py @@ -0,0 +1,147 @@ +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' +# Copyright (c) 2023-2024 Mira Geoscience Ltd. +# All rights reserved. +# +# This file is part of simpeg-drivers. +# +# The software and information contained herein are proprietary to, and +# comprise valuable trade secrets of, Mira Geoscience, which +# intend to preserve as trade secrets such software and information. +# This software is furnished pursuant to a written license agreement and +# may be used, copied, transmitted, and stored only in accordance with +# the terms of such license and with the inclusion of the above copyright +# notice. This software and information or any other copies thereof may +# not be provided or otherwise made available to any other person. +# +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' + +from __future__ import annotations + +from pathlib import Path + +import numpy as np +from geoh5py.objects import Curve +from geoh5py.workspace import Workspace + +from simpeg_drivers.potential_fields import MagneticVectorParams +from simpeg_drivers.potential_fields.magnetic_vector.driver import MagneticVectorDriver +from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace +from simpeg_drivers.utils.utils import get_inversion_output + +# To test the full run and validate the inversion. +# Move this file out of the test directory and run. + +target_mvi_run = { + "data_norm": 6.3559205278626525, + "phi_d": 0.007234, + "phi_m": 4.657e-06, +} + + +def test_magnetic_vector_fwr_run( + tmp_path: Path, + n_grid_points=2, + refinement=(2,), +): + inducing_field = (50000.0, 90.0, 0.0) + # Run the forward + geoh5, _, model, points, topography = setup_inversion_workspace( + tmp_path, + background=0.0, + anomaly=0.05, + refinement=refinement, + n_electrodes=n_grid_points, + n_lines=n_grid_points, + ) + + # Unitest dealing with Curve + survey = Curve.create(geoh5, name=points.name, vertices=points.vertices) + geoh5.remove_entity(points) + + params = MagneticVectorParams( + forward_only=True, + geoh5=geoh5, + mesh=model.parent.uid, + topography_object=topography.uid, + inducing_field_strength=inducing_field[0], + inducing_field_inclination=inducing_field[1], + inducing_field_declination=inducing_field[2], + z_from_topo=False, + data_object=survey.uid, + starting_model_object=model.parent.uid, + starting_model=model.uid, + starting_inclination=45, + starting_declination=270, + ) + fwr_driver = MagneticVectorDriver(params) + + fwr_driver.run() + + +def test_magnetic_vector_run( + tmp_path: Path, + max_iterations=1, + pytest=True, +): + workpath = tmp_path / "inversion_test.ui.geoh5" + if pytest: + workpath = ( + tmp_path.parent + / "test_magnetic_vector_fwr_run0" + / "inversion_test.ui.geoh5" + ) + + with Workspace(workpath) as geoh5: + tmi = geoh5.get_entity("Iteration_0_tmi")[0] + orig_tmi = tmi.values.copy() + mesh = geoh5.get_entity("mesh")[0] + topography = geoh5.get_entity("topography")[0] + inducing_field = (50000.0, 90.0, 0.0) + + # Run the inverse + params = MagneticVectorParams( + geoh5=geoh5, + mesh=mesh.uid, + topography_object=topography.uid, + inducing_field_strength=inducing_field[0], + inducing_field_inclination=inducing_field[1], + inducing_field_declination=inducing_field[2], + data_object=tmi.parent.uid, + starting_model=1e-4, + reference_model=0.0, + s_norm=0.0, + x_norm=1.0, + y_norm=1.0, + z_norm=1.0, + gradient_type="components", + tmi_channel_bool=True, + z_from_topo=False, + tmi_channel=tmi.uid, + tmi_uncertainty=4.0, + max_global_iterations=max_iterations, + initial_beta_ratio=1e1, + store_sensitivities="ram", + prctile=100, + ) + params.write_input_file(path=tmp_path, name="Inv_run") + driver = MagneticVectorDriver.start(str(tmp_path / "Inv_run.ui.json")) + + with Workspace(driver.params.geoh5.h5file) as run_ws: + # Re-open the workspace and get iterations + output = get_inversion_output( + driver.params.geoh5.h5file, driver.params.out_group.uid + ) + output["data"] = orig_tmi + if pytest: + check_target(output, target_mvi_run) + nan_ind = np.isnan( + run_ws.get_entity("Iteration_0_amplitude_model")[0].values + ) + inactive_ind = run_ws.get_entity("active_cells")[0].values == 0 + assert np.all(nan_ind == inactive_ind) + + +if __name__ == "__main__": + # Full run + test_magnetic_vector_fwr_run(Path("./"), n_grid_points=20, refinement=(4, 8)) + test_magnetic_vector_run(Path("./"), max_iterations=30, pytest=False) diff --git a/tests/run_tests/driver_tipper_test.py b/tests/run_tests/driver_tipper_test.py new file mode 100644 index 00000000..166b72a0 --- /dev/null +++ b/tests/run_tests/driver_tipper_test.py @@ -0,0 +1,171 @@ +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' +# Copyright (c) 2023-2024 Mira Geoscience Ltd. +# All rights reserved. +# +# This file is part of simpeg-drivers. +# +# The software and information contained herein are proprietary to, and +# comprise valuable trade secrets of, Mira Geoscience, which +# intend to preserve as trade secrets such software and information. +# This software is furnished pursuant to a written license agreement and +# may be used, copied, transmitted, and stored only in accordance with +# the terms of such license and with the inclusion of the above copyright +# notice. This software and information or any other copies thereof may +# not be provided or otherwise made available to any other person. +# +# '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' + +from __future__ import annotations + +from pathlib import Path + +import numpy as np +from geoh5py.workspace import Workspace + +from simpeg_drivers.natural_sources import TipperParams +from simpeg_drivers.natural_sources.tipper.driver import TipperDriver +from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace +from simpeg_drivers.utils.utils import get_inversion_output + +# To test the full run and validate the inversion. +# Move this file out of the test directory and run. + +target_run = {"data_norm": 0.0020959218368283884, "phi_d": 0.1504, "phi_m": 7209} + + +def test_tipper_fwr_run( + tmp_path: Path, + n_grid_points=2, + refinement=(2,), +): + # Run the forward + geoh5, _, model, survey, topography = setup_inversion_workspace( + tmp_path, + background=1e-3, + anomaly=1.0, + n_electrodes=n_grid_points, + n_lines=n_grid_points, + refinement=refinement, + inversion_type="tipper", + drape_height=15.0, + flatten=False, + ) + params = TipperParams( + forward_only=True, + geoh5=geoh5, + mesh=model.parent.uid, + topography_object=topography.uid, + resolution=0.0, + z_from_topo=False, + data_object=survey.uid, + starting_model=model.uid, + conductivity_model=1e-3, + txz_real_channel_bool=True, + txz_imag_channel_bool=True, + tyz_real_channel_bool=True, + tyz_imag_channel_bool=True, + ) + params.workpath = tmp_path + fwr_driver = TipperDriver(params) + fwr_driver.run() + + +def test_tipper_run(tmp_path: Path, max_iterations=1, pytest=True): + workpath = tmp_path / "inversion_test.ui.geoh5" + if pytest: + workpath = tmp_path.parent / "test_tipper_fwr_run0" / "inversion_test.ui.geoh5" + + with Workspace(workpath) as geoh5: + survey = geoh5.get_entity("survey")[0] + mesh = geoh5.get_entity("mesh")[0] + topography = geoh5.get_entity("topography")[0] + + data = {} + uncertainties = {} + components = { + "txz_real": "Txz (real)", + "txz_imag": "Txz (imag)", + "tyz_real": "Tyz (real)", + "tyz_imag": "Tyz (imag)", + } + + for comp, cname in components.items(): + data[cname] = [] + uncertainties[f"{cname} uncertainties"] = [] + for ind in range(len(survey.channels)): + data_entity = geoh5.get_entity(f"Iteration_0_{comp}_[{ind}]")[0].copy( + parent=survey + ) + data[cname].append(data_entity) + + uncert = survey.add_data( + { + f"uncertainty_{comp}_[{ind}]": { + "values": np.ones_like(data_entity.values) + * np.percentile(np.abs(data_entity.values), 5) + } + } + ) + uncertainties[f"{cname} uncertainties"].append(uncert) + + data_groups = survey.add_components_data(data) + uncert_groups = survey.add_components_data(uncertainties) + + data_kwargs = {} + for comp, data_group, uncert_group in zip( + components, data_groups, uncert_groups + ): + data_kwargs[f"{comp}_channel"] = data_group.uid + data_kwargs[f"{comp}_uncertainty"] = uncert_group.uid + + orig_tyz_real_1 = geoh5.get_entity("Iteration_0_tyz_real_[0]")[0].values + + # Run the inverse + params = TipperParams( + geoh5=geoh5, + mesh=mesh.uid, + topography_object=topography.uid, + resolution=0.0, + data_object=survey.uid, + starting_model=0.001, + reference_model=0.001, + conductivity_model=1e-3, + s_norm=1.0, + x_norm=1.0, + y_norm=1.0, + z_norm=1.0, + alpha_s=1.0, + gradient_type="components", + z_from_topo=False, + upper_bound=0.75, + max_global_iterations=max_iterations, + initial_beta_ratio=1e2, + coolingRate=2, + prctile=100, + chi_factor=0.1, + store_sensitivities="ram", + **data_kwargs, + ) + params.write_input_file(path=tmp_path, name="Inv_run") + driver = TipperDriver.start(str(tmp_path / "Inv_run.ui.json")) + + with geoh5.open() as run_ws: + output = get_inversion_output( + driver.params.geoh5.h5file, driver.params.out_group.uid + ) + output["data"] = orig_tyz_real_1 + if pytest: + check_target(output, target_run, tolerance=0.5) + nan_ind = np.isnan(run_ws.get_entity("Iteration_0_model")[0].values) + inactive_ind = run_ws.get_entity("active_cells")[0].values == 0 + assert np.all(nan_ind == inactive_ind) + + +if __name__ == "__main__": + # Full run + test_tipper_fwr_run(Path("./"), n_grid_points=8, refinement=(4, 4)) + test_tipper_run( + Path("./"), + max_iterations=15, + pytest=False, + ) From 92a6fffbd83762b3ee3a5161cad1b2cc11430df1 Mon Sep 17 00:00:00 2001 From: dominiquef Date: Fri, 14 Jun 2024 08:44:22 -0700 Subject: [PATCH 040/350] Point simpeg to develop --- .../py-3.10-linux-64-dev.conda.lock.yml | 12 +++---- environments/py-3.10-linux-64.conda.lock.yml | 12 +++---- .../py-3.10-win-64-dev.conda.lock.yml | 4 +-- environments/py-3.10-win-64.conda.lock.yml | 4 +-- py-3.10.conda-lock.yml | 36 +++++++++---------- pyproject.toml | 2 +- 6 files changed, 35 insertions(+), 35 deletions(-) diff --git a/environments/py-3.10-linux-64-dev.conda.lock.yml b/environments/py-3.10-linux-64-dev.conda.lock.yml index 427b9827..95f871e9 100644 --- a/environments/py-3.10-linux-64-dev.conda.lock.yml +++ b/environments/py-3.10-linux-64-dev.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: 769cc489f34e61f12004493f067269a991aee946932346cf4e83a3ede82ead6e +# input_hash: 178eb2a3f6ff6bfef6eec3fc48234ef9d631fabc31f909a78d123fe002c0c453 channels: - conda-forge @@ -104,9 +104,9 @@ dependencies: - libedit=3.1.20191231=he28a2e2_2 - libev=4.33=hd590300_2 - libffi=3.4.2=h7f98852_5 - - libgcc-ng=13.2.0=h77fa898_8 - - libgfortran-ng=13.2.0=h69a702a_8 - - libgfortran5=13.2.0=h3d2ce59_8 + - libgcc-ng=13.2.0=h77fa898_9 + - libgfortran-ng=13.2.0=h69a702a_9 + - libgfortran5=13.2.0=h3d2ce59_9 - libhwloc=2.10.0=default_h5622ce7_1001 - libiconv=1.17=hd590300_2 - libjpeg-turbo=3.0.0=hd590300_1 @@ -118,7 +118,7 @@ dependencies: - libsodium=1.0.18=h36c2ea0_1 - libsqlite=3.46.0=hde9e2c9_0 - libssh2=1.11.0=h0841786_0 - - libstdcxx-ng=13.2.0=hc0a3c3a_8 + - libstdcxx-ng=13.2.0=hc0a3c3a_9 - libtiff=4.6.0=h1dd3fc0_3 - libuuid=2.38.1=h0b41bf4_0 - libwebp-base=1.4.0=hd590300_0 @@ -272,7 +272,7 @@ dependencies: - pip: - geoapps-utils @ https://github.com/MiraGeoscience/geoapps-utils/archive/refs/heads/develop.zip - geoh5py @ https://github.com/MiraGeoscience/geoh5py/archive/refs/heads/develop.zip - - mira-simpeg @ https://github.com/MiraGeoscience/simpeg/archive/refs/heads/GEOPY-1573.zip + - mira-simpeg @ https://github.com/MiraGeoscience/simpeg/archive/refs/heads/develop.zip - octree-creation-app @ https://github.com/MiraGeoscience/octree-creation-app/archive/refs/heads/develop.zip - param-sweeps @ https://github.com/MiraGeoscience/param-sweeps/archive/refs/heads/develop.zip diff --git a/environments/py-3.10-linux-64.conda.lock.yml b/environments/py-3.10-linux-64.conda.lock.yml index 8a959411..43e6352e 100644 --- a/environments/py-3.10-linux-64.conda.lock.yml +++ b/environments/py-3.10-linux-64.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: 769cc489f34e61f12004493f067269a991aee946932346cf4e83a3ede82ead6e +# input_hash: 178eb2a3f6ff6bfef6eec3fc48234ef9d631fabc31f909a78d123fe002c0c453 channels: - conda-forge @@ -56,9 +56,9 @@ dependencies: - libedit=3.1.20191231=he28a2e2_2 - libev=4.33=hd590300_2 - libffi=3.4.2=h7f98852_5 - - libgcc-ng=13.2.0=h77fa898_8 - - libgfortran-ng=13.2.0=h69a702a_8 - - libgfortran5=13.2.0=h3d2ce59_8 + - libgcc-ng=13.2.0=h77fa898_9 + - libgfortran-ng=13.2.0=h69a702a_9 + - libgfortran5=13.2.0=h3d2ce59_9 - libhwloc=2.10.0=default_h5622ce7_1001 - libiconv=1.17=hd590300_2 - libjpeg-turbo=3.0.0=hd590300_1 @@ -69,7 +69,7 @@ dependencies: - libpng=1.6.43=h2797004_0 - libsqlite=3.46.0=hde9e2c9_0 - libssh2=1.11.0=h0841786_0 - - libstdcxx-ng=13.2.0=hc0a3c3a_8 + - libstdcxx-ng=13.2.0=hc0a3c3a_9 - libtiff=4.6.0=h1dd3fc0_3 - libuuid=2.38.1=h0b41bf4_0 - libwebp-base=1.4.0=hd590300_0 @@ -142,7 +142,7 @@ dependencies: - pip: - geoapps-utils @ https://github.com/MiraGeoscience/geoapps-utils/archive/refs/heads/develop.zip - geoh5py @ https://github.com/MiraGeoscience/geoh5py/archive/refs/heads/develop.zip - - mira-simpeg @ https://github.com/MiraGeoscience/simpeg/archive/refs/heads/GEOPY-1573.zip + - mira-simpeg @ https://github.com/MiraGeoscience/simpeg/archive/refs/heads/develop.zip - octree-creation-app @ https://github.com/MiraGeoscience/octree-creation-app/archive/refs/heads/develop.zip - param-sweeps @ https://github.com/MiraGeoscience/param-sweeps/archive/refs/heads/develop.zip diff --git a/environments/py-3.10-win-64-dev.conda.lock.yml b/environments/py-3.10-win-64-dev.conda.lock.yml index 980d628b..fb1eeb20 100644 --- a/environments/py-3.10-win-64-dev.conda.lock.yml +++ b/environments/py-3.10-win-64-dev.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: 4cd7cf3a95475d7dc5d68b1023f9013a086f0ce0cdc60e5d52eda5319142b15a +# input_hash: 637a96a53bd1a4fbbc05b1285db7455700a92fb69195edce80eca69f07686e7c channels: - conda-forge @@ -266,7 +266,7 @@ dependencies: - pip: - geoapps-utils @ https://github.com/MiraGeoscience/geoapps-utils/archive/refs/heads/develop.zip - geoh5py @ https://github.com/MiraGeoscience/geoh5py/archive/refs/heads/develop.zip - - mira-simpeg @ https://github.com/MiraGeoscience/simpeg/archive/refs/heads/GEOPY-1573.zip + - mira-simpeg @ https://github.com/MiraGeoscience/simpeg/archive/refs/heads/develop.zip - octree-creation-app @ https://github.com/MiraGeoscience/octree-creation-app/archive/refs/heads/develop.zip - param-sweeps @ https://github.com/MiraGeoscience/param-sweeps/archive/refs/heads/develop.zip diff --git a/environments/py-3.10-win-64.conda.lock.yml b/environments/py-3.10-win-64.conda.lock.yml index 575e622e..b29dd607 100644 --- a/environments/py-3.10-win-64.conda.lock.yml +++ b/environments/py-3.10-win-64.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: 4cd7cf3a95475d7dc5d68b1023f9013a086f0ce0cdc60e5d52eda5319142b15a +# input_hash: 637a96a53bd1a4fbbc05b1285db7455700a92fb69195edce80eca69f07686e7c channels: - conda-forge @@ -135,7 +135,7 @@ dependencies: - pip: - geoapps-utils @ https://github.com/MiraGeoscience/geoapps-utils/archive/refs/heads/develop.zip - geoh5py @ https://github.com/MiraGeoscience/geoh5py/archive/refs/heads/develop.zip - - mira-simpeg @ https://github.com/MiraGeoscience/simpeg/archive/refs/heads/GEOPY-1573.zip + - mira-simpeg @ https://github.com/MiraGeoscience/simpeg/archive/refs/heads/develop.zip - octree-creation-app @ https://github.com/MiraGeoscience/octree-creation-app/archive/refs/heads/develop.zip - param-sweeps @ https://github.com/MiraGeoscience/param-sweeps/archive/refs/heads/develop.zip diff --git a/py-3.10.conda-lock.yml b/py-3.10.conda-lock.yml index 1341778a..9da97f94 100644 --- a/py-3.10.conda-lock.yml +++ b/py-3.10.conda-lock.yml @@ -15,8 +15,8 @@ version: 1 metadata: content_hash: - win-64: 4cd7cf3a95475d7dc5d68b1023f9013a086f0ce0cdc60e5d52eda5319142b15a - linux-64: 769cc489f34e61f12004493f067269a991aee946932346cf4e83a3ede82ead6e + win-64: 637a96a53bd1a4fbbc05b1285db7455700a92fb69195edce80eca69f07686e7c + linux-64: 178eb2a3f6ff6bfef6eec3fc48234ef9d631fabc31f909a78d123fe002c0c453 channels: - url: conda-forge used_env_vars: [] @@ -2831,10 +2831,10 @@ package: dependencies: _libgcc_mutex: '0.1' _openmp_mutex: '>=4.5' - url: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-13.2.0-h77fa898_8.conda + url: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-13.2.0-h77fa898_9.conda hash: - md5: a579489cacbe7775680d40704a537553 - sha256: 849ed1de90ee9d668c5d80e6728dca3d97e10d05b365d212b84197cf1874a7ca + md5: f23bc130bc3d2bbd9d9d6892609546ea + sha256: 99766cf453f4d5ed78b8446d81de99a5fe243dea0d73cf402454f81c136c7d7d category: main optional: false - name: libgfortran-ng @@ -2843,10 +2843,10 @@ package: platform: linux-64 dependencies: libgfortran5: 13.2.0 - url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-13.2.0-h69a702a_8.conda + url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-13.2.0-h69a702a_9.conda hash: - md5: bfec48a6862ff3bf748008d5d31387b3 - sha256: 227730f1a811b61e30eabb465a0446e4cae4c353f295c75d4e2173e5aaa8864f + md5: 90a8b0f4e0d4a333f54d0c33b882ee9a + sha256: 2e233e7b461749fcbc14b5e6ed5372a02e766924c1d73526ba9a46094c9499ba category: main optional: false - name: libgfortran5 @@ -2855,10 +2855,10 @@ package: platform: linux-64 dependencies: libgcc-ng: '>=13.2.0' - url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-13.2.0-h3d2ce59_8.conda + url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-13.2.0-h3d2ce59_9.conda hash: - md5: 6a072cd884c913056a5dbd5fcd984f3c - sha256: 38afdb04d98c4075d66f46da10c819fb760613c6d984a7ea464a61f84b495f07 + md5: 2f2a59af95aed6024368b8dbaf9591d8 + sha256: 16042f9ee0b6303c85cac9c763dd32e8bdc82f3f7c24156560e603adfc31506a category: main optional: false - name: libhwloc @@ -3126,10 +3126,10 @@ package: platform: linux-64 dependencies: libgcc-ng: 13.2.0 - url: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-13.2.0-hc0a3c3a_8.conda + url: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-13.2.0-hc0a3c3a_9.conda hash: - md5: 19cdb9820e89c07e9b4dbb67aeaec234 - sha256: 007943d15075909df7d5299e4a2333c8b574888388439aa4f63e1c2634f759d5 + md5: 2075df518ef9d09f1ae209c83116e808 + sha256: 642469fd890e890fd96db3d26e4fbd66b5d5d56142d8657b5c15450ab05dc6e1 category: main optional: false - name: libtiff @@ -7621,12 +7621,12 @@ package: pymatsolver: '>=0.2' scikit-learn: '>=1.2' scipy: '>=1.8.0' - url: https://github.com/MiraGeoscience/simpeg/archive/refs/heads/GEOPY-1573.zip + url: https://github.com/MiraGeoscience/simpeg/archive/refs/heads/develop.zip hash: {} category: main source: type: url - url: https://github.com/MiraGeoscience/simpeg/archive/refs/heads/GEOPY-1573.zip + url: https://github.com/MiraGeoscience/simpeg/archive/refs/heads/develop.zip optional: false - name: mira-simpeg version: 0.21.2.1a1 @@ -7643,12 +7643,12 @@ package: pymatsolver: '>=0.2' scikit-learn: '>=1.2' scipy: '>=1.8.0' - url: https://github.com/MiraGeoscience/simpeg/archive/refs/heads/GEOPY-1573.zip + url: https://github.com/MiraGeoscience/simpeg/archive/refs/heads/develop.zip hash: {} category: main source: type: url - url: https://github.com/MiraGeoscience/simpeg/archive/refs/heads/GEOPY-1573.zip + url: https://github.com/MiraGeoscience/simpeg/archive/refs/heads/develop.zip optional: false - name: octree-creation-app version: 0.2.0a1 diff --git a/pyproject.toml b/pyproject.toml index 59c346dc..a75163a1 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -50,7 +50,7 @@ geoapps-utils = {url = "https://github.com/MiraGeoscience/geoapps-utils/archive/ #geoapps-utils = {url = "http://localhost:8888/geoapps-utils.tar.gz#sha256="} #mira-simpeg = {version = ">=0.19.0.8rc3,<0.19.0.9.dev", source = "pypi", allow-prereleases = true} -mira-simpeg = {url = "https://github.com/MiraGeoscience/simpeg/archive/refs/heads/GEOPY-1573.zip"} +mira-simpeg = {url = "https://github.com/MiraGeoscience/simpeg/archive/refs/heads/develop.zip"} #mira-simpeg = {url = "http://localhost:8888/mira-simpeg.tar.gz#sha256="} #param-sweeps = {version = "~0.1.7rc1", source = "pypi", allow-prereleases = true} From 61e3ef80d9ee395c47e155e185bfbf2dd148e94d Mon Sep 17 00:00:00 2001 From: dominiquef Date: Fri, 14 Jun 2024 13:41:15 -0700 Subject: [PATCH 041/350] Fix cross calculation from center of loop --- simpeg_drivers/utils/surveys.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/simpeg_drivers/utils/surveys.py b/simpeg_drivers/utils/surveys.py index ccb8c55b..fd0998e3 100644 --- a/simpeg_drivers/utils/surveys.py +++ b/simpeg_drivers/utils/surveys.py @@ -35,10 +35,12 @@ def counter_clockwise_sort(segments: np.ndarray, vertices: np.ndarray) -> np.nda :return: Sorted segments. """ + center = np.mean(vertices, axis=0) + center_to_vertices = vertices[segments[:, 0], :2] - center[:2] deltas = vertices[segments[:, 1], :2] - vertices[segments[:, 0], :2] - cross = np.cross(deltas[:-1], deltas[1:]) + cross = np.cross(center_to_vertices, deltas) - if np.sign(np.mean(cross[cross != 0])) < 0: + if np.mean(np.sign(cross[cross != 0])) < 0: segments = segments[::-1, ::-1] return segments From 005ac9012e6ea877503efa3f0f3ae77b5f293882 Mon Sep 17 00:00:00 2001 From: dominiquef Date: Wed, 19 Jun 2024 10:58:03 -0700 Subject: [PATCH 042/350] Augment test to conver concave loops --- tests/utils_surveys_test.py | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/tests/utils_surveys_test.py b/tests/utils_surveys_test.py index b126b49b..8bb97a85 100644 --- a/tests/utils_surveys_test.py +++ b/tests/utils_surveys_test.py @@ -23,9 +23,12 @@ def test_counterclockwise_sort(): - segments = np.array([[0, 3], [3, 2], [2, 1], [1, 0]]) - vertices = np.array([[0, 0], [1.5, 0], [0.5, 1], [0.1, 1.5]]) + vertices = np.array( + [[0, 0], [0.25, 1.5], [0.0, 2.0], [0.5, 1], [1.5, 0], [0.2, 0.2]] + ) + segments = np.c_[np.arange(len(vertices)), np.arange(1, len(vertices) + 1)] + segments[-1, 1] = 0 ccw_sorted = counter_clockwise_sort(segments, vertices) - np.testing.assert_equal(ccw_sorted[0, :], [0, 1]) + np.testing.assert_equal(ccw_sorted[0, :], [0, 5]) From e4d81228ee6a2c2c091198e5dd976bc24be82feb Mon Sep 17 00:00:00 2001 From: dominiquef Date: Thu, 20 Jun 2024 12:15:39 -0700 Subject: [PATCH 043/350] Fix tbb version --- .../py-3.10-linux-64-dev.conda.lock.yml | 32 +-- environments/py-3.10-linux-64.conda.lock.yml | 26 +- .../py-3.10-win-64-dev.conda.lock.yml | 20 +- environments/py-3.10-win-64.conda.lock.yml | 14 +- py-3.10.conda-lock.yml | 224 +++++++++--------- pyproject.toml | 1 + 6 files changed, 159 insertions(+), 158 deletions(-) diff --git a/environments/py-3.10-linux-64-dev.conda.lock.yml b/environments/py-3.10-linux-64-dev.conda.lock.yml index 95f871e9..f2f5a2e8 100644 --- a/environments/py-3.10-linux-64-dev.conda.lock.yml +++ b/environments/py-3.10-linux-64-dev.conda.lock.yml @@ -1,13 +1,13 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: 178eb2a3f6ff6bfef6eec3fc48234ef9d631fabc31f909a78d123fe002c0c453 +# input_hash: 8218dda5bc9bae3fb3c57217c7d26127c7bfb6668c43fe054904c25bf279a176 channels: - conda-forge dependencies: - _libgcc_mutex=0.1=conda_forge - _openmp_mutex=4.5=2_kmp_llvm - - accessible-pygments=0.0.4=pyhd8ed1ab_0 + - accessible-pygments=0.0.5=pyhd8ed1ab_0 - alabaster=0.7.16=pyhd8ed1ab_0 - annotated-types=0.7.0=pyhd8ed1ab_0 - anyio=3.7.1=pyhd8ed1ab_0 @@ -90,7 +90,7 @@ dependencies: - krb5=1.21.2=h659d440_0 - latexcodec=2.0.1=pyh9f0ad1d_0 - lcms2=2.16=hb7c19ff_0 - - ld_impl_linux-64=2.40=hf3520f5_3 + - ld_impl_linux-64=2.40=hf3520f5_7 - lerc=4.0.0=h27087fc_0 - libaec=1.1.3=h59595ed_0 - libblas=3.9.0=16_linux64_mkl @@ -104,9 +104,9 @@ dependencies: - libedit=3.1.20191231=he28a2e2_2 - libev=4.33=hd590300_2 - libffi=3.4.2=h7f98852_5 - - libgcc-ng=13.2.0=h77fa898_9 - - libgfortran-ng=13.2.0=h69a702a_9 - - libgfortran5=13.2.0=h3d2ce59_9 + - libgcc-ng=13.2.0=h77fa898_11 + - libgfortran-ng=13.2.0=h69a702a_11 + - libgfortran5=13.2.0=h3d2ce59_11 - libhwloc=2.10.0=default_h5622ce7_1001 - libiconv=1.17=hd590300_2 - libjpeg-turbo=3.0.0=hd590300_1 @@ -118,17 +118,17 @@ dependencies: - libsodium=1.0.18=h36c2ea0_1 - libsqlite=3.46.0=hde9e2c9_0 - libssh2=1.11.0=h0841786_0 - - libstdcxx-ng=13.2.0=hc0a3c3a_9 + - libstdcxx-ng=13.2.0=hc0a3c3a_11 - libtiff=4.6.0=h1dd3fc0_3 - libuuid=2.38.1=h0b41bf4_0 - libwebp-base=1.4.0=hd590300_0 - - libxcb=1.15=h0b41bf4_0 + - libxcb=1.16=hd590300_0 - libxcrypt=4.4.36=hd590300_1 - libxml2=2.12.7=hc051c1a_1 - libzlib=1.3.1=h4ab18f5_1 - linkify-it-py=2.0.3=pyhd8ed1ab_0 - - llvm-openmp=18.1.7=ha31de31_0 - - llvmlite=0.42.0=py310h1b8f574_1 + - llvm-openmp=18.1.8=hf5423f3_0 + - llvmlite=0.43.0=py310h4c7c693_0 - locket=1.0.0=pyhd8ed1ab_0 - markdown-it-py=2.2.0=pyhd8ed1ab_0 - markupsafe=2.1.5=py310h2372a71_0 @@ -153,7 +153,7 @@ dependencies: - nest-asyncio=1.6.0=pyhd8ed1ab_0 - notebook=6.5.7=pyha770c72_0 - notebook-shim=0.2.4=pyhd8ed1ab_0 - - numba=0.59.1=py310h7dc5dd1_0 + - numba=0.60.0=py310h5dc88bb_0 - numcodecs=0.12.1=py310h76e45a6_1 - numpy=1.23.5=py310h53a5b5f_0 - openjpeg=2.5.2=h488ebb8_0 @@ -166,7 +166,7 @@ dependencies: - partd=1.4.2=pyhd8ed1ab_0 - pexpect=4.9.0=pyhd8ed1ab_0 - pickleshare=0.7.5=py_1003 - - pillow=10.3.0=py310hf73ecf8_0 + - pillow=10.3.0=py310hebfe307_1 - pip=24.0=pyhd8ed1ab_0 - pkgutil-resolve-name=1.3.10=pyhd8ed1ab_1 - platformdirs=4.2.2=pyhd8ed1ab_0 @@ -194,7 +194,7 @@ dependencies: - pytest-cov=5.0.0=pyhd8ed1ab_0 - python=3.10.14=hd12c33a_0_cpython - python-dateutil=2.9.0=pyhd8ed1ab_0 - - python-fastjsonschema=2.19.1=pyhd8ed1ab_0 + - python-fastjsonschema=2.20.0=pyhd8ed1ab_0 - python-tzdata=2023.4=pyhd8ed1ab_0 - python_abi=3.10=4_cp310 - pytz=2024.1=pyhd8ed1ab_0 @@ -209,7 +209,7 @@ dependencies: - scipy=1.13.1=py310h93e2701_0 - scooby=0.10.0=pyhd8ed1ab_0 - send2trash=1.8.3=pyh0d859eb_0 - - setuptools=70.0.0=pyhd8ed1ab_0 + - setuptools=70.1.0=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 - sniffio=1.3.1=pyhd8ed1ab_0 - snowballstemmer=2.2.0=pyhd8ed1ab_0 @@ -232,7 +232,7 @@ dependencies: - sphinxcontrib-jsmath=1.0.1=pyhd8ed1ab_0 - sphinxcontrib-qthelp=1.0.7=pyhd8ed1ab_0 - sphinxcontrib-serializinghtml=1.1.10=pyhd8ed1ab_0 - - sqlalchemy=2.0.30=py310hc51659f_0 + - sqlalchemy=2.0.31=py310hc51659f_0 - stack_data=0.6.2=pyhd8ed1ab_0 - tabulate=0.9.0=pyhd8ed1ab_1 - tbb=2021.12.0=h297d8ca_1 @@ -253,7 +253,7 @@ dependencies: - tzdata=2024a=h0c530f3_0 - uc-micro-py=1.0.3=pyhd8ed1ab_0 - unicodedata2=15.1.0=py310h2372a71_0 - - urllib3=2.2.1=pyhd8ed1ab_0 + - urllib3=2.2.2=pyhd8ed1ab_0 - utm=0.7.0=pyhd8ed1ab_0 - wcwidth=0.2.13=pyhd8ed1ab_0 - webencodings=0.5.1=pyhd8ed1ab_2 diff --git a/environments/py-3.10-linux-64.conda.lock.yml b/environments/py-3.10-linux-64.conda.lock.yml index 43e6352e..371a9478 100644 --- a/environments/py-3.10-linux-64.conda.lock.yml +++ b/environments/py-3.10-linux-64.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: 178eb2a3f6ff6bfef6eec3fc48234ef9d631fabc31f909a78d123fe002c0c453 +# input_hash: 8218dda5bc9bae3fb3c57217c7d26127c7bfb6668c43fe054904c25bf279a176 channels: - conda-forge @@ -42,7 +42,7 @@ dependencies: - kiwisolver=1.4.5=py310hd41b1e2_1 - krb5=1.21.2=h659d440_0 - lcms2=2.16=hb7c19ff_0 - - ld_impl_linux-64=2.40=hf3520f5_3 + - ld_impl_linux-64=2.40=hf3520f5_7 - lerc=4.0.0=h27087fc_0 - libaec=1.1.3=h59595ed_0 - libblas=3.9.0=16_linux64_mkl @@ -56,9 +56,9 @@ dependencies: - libedit=3.1.20191231=he28a2e2_2 - libev=4.33=hd590300_2 - libffi=3.4.2=h7f98852_5 - - libgcc-ng=13.2.0=h77fa898_9 - - libgfortran-ng=13.2.0=h69a702a_9 - - libgfortran5=13.2.0=h3d2ce59_9 + - libgcc-ng=13.2.0=h77fa898_11 + - libgfortran-ng=13.2.0=h69a702a_11 + - libgfortran5=13.2.0=h3d2ce59_11 - libhwloc=2.10.0=default_h5622ce7_1001 - libiconv=1.17=hd590300_2 - libjpeg-turbo=3.0.0=hd590300_1 @@ -69,16 +69,16 @@ dependencies: - libpng=1.6.43=h2797004_0 - libsqlite=3.46.0=hde9e2c9_0 - libssh2=1.11.0=h0841786_0 - - libstdcxx-ng=13.2.0=hc0a3c3a_9 + - libstdcxx-ng=13.2.0=hc0a3c3a_11 - libtiff=4.6.0=h1dd3fc0_3 - libuuid=2.38.1=h0b41bf4_0 - libwebp-base=1.4.0=hd590300_0 - - libxcb=1.15=h0b41bf4_0 + - libxcb=1.16=hd590300_0 - libxcrypt=4.4.36=hd590300_1 - libxml2=2.12.7=hc051c1a_1 - libzlib=1.3.1=h4ab18f5_1 - - llvm-openmp=18.1.7=ha31de31_0 - - llvmlite=0.42.0=py310h1b8f574_1 + - llvm-openmp=18.1.8=hf5423f3_0 + - llvmlite=0.43.0=py310h4c7c693_0 - locket=1.0.0=pyhd8ed1ab_0 - markupsafe=2.1.5=py310h2372a71_0 - matplotlib-base=3.7.3=py310h62c0568_0 @@ -86,7 +86,7 @@ dependencies: - msgpack-python=1.0.8=py310h25c7140_0 - munkres=1.1.4=pyh9f0ad1d_0 - ncurses=6.5=h59595ed_0 - - numba=0.59.1=py310h7dc5dd1_0 + - numba=0.60.0=py310h5dc88bb_0 - numcodecs=0.12.1=py310h76e45a6_1 - numpy=1.23.5=py310h53a5b5f_0 - openjpeg=2.5.2=h488ebb8_0 @@ -94,7 +94,7 @@ dependencies: - packaging=24.1=pyhd8ed1ab_0 - pandas=2.2.2=py310hf9f9076_1 - partd=1.4.2=pyhd8ed1ab_0 - - pillow=10.3.0=py310hf73ecf8_0 + - pillow=10.3.0=py310hebfe307_1 - pip=24.0=pyhd8ed1ab_0 - psutil=5.9.8=py310h2372a71_0 - pthread-stubs=0.4=h36c2ea0_1001 @@ -115,7 +115,7 @@ dependencies: - scikit-learn=1.4.2=py310h981052a_1 - scipy=1.13.1=py310h93e2701_0 - scooby=0.10.0=pyhd8ed1ab_0 - - setuptools=70.0.0=pyhd8ed1ab_0 + - setuptools=70.1.0=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 - sortedcontainers=2.4.0=pyhd8ed1ab_0 - tbb=2021.12.0=h297d8ca_1 @@ -129,7 +129,7 @@ dependencies: - typing_extensions=4.12.2=pyha770c72_0 - tzdata=2024a=h0c530f3_0 - unicodedata2=15.1.0=py310h2372a71_0 - - urllib3=2.2.1=pyhd8ed1ab_0 + - urllib3=2.2.2=pyhd8ed1ab_0 - utm=0.7.0=pyhd8ed1ab_0 - wheel=0.43.0=pyhd8ed1ab_1 - xorg-libxau=1.0.11=hd590300_0 diff --git a/environments/py-3.10-win-64-dev.conda.lock.yml b/environments/py-3.10-win-64-dev.conda.lock.yml index fb1eeb20..f4c3eae4 100644 --- a/environments/py-3.10-win-64-dev.conda.lock.yml +++ b/environments/py-3.10-win-64-dev.conda.lock.yml @@ -1,11 +1,11 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: 637a96a53bd1a4fbbc05b1285db7455700a92fb69195edce80eca69f07686e7c +# input_hash: 4b7c75a9af8b7cce0694c54ecfef3e2dd33c5645fc3ec75db615e94692ca12f6 channels: - conda-forge dependencies: - - accessible-pygments=0.0.4=pyhd8ed1ab_0 + - accessible-pygments=0.0.5=pyhd8ed1ab_0 - alabaster=0.7.16=pyhd8ed1ab_0 - annotated-types=0.7.0=pyhd8ed1ab_0 - anyio=3.7.1=pyhd8ed1ab_0 @@ -107,11 +107,11 @@ dependencies: - libssh2=1.11.0=h7dfc565_0 - libtiff=4.6.0=hddb2be6_3 - libwebp-base=1.4.0=hcfcfb64_0 - - libxcb=1.15=hcd874cb_0 + - libxcb=1.16=hcd874cb_0 - libxml2=2.12.7=h283a6d9_1 - libzlib=1.3.1=h2466b09_1 - linkify-it-py=2.0.3=pyhd8ed1ab_0 - - llvmlite=0.42.0=py310hb84602e_1 + - llvmlite=0.43.0=py310h0288bfe_0 - locket=1.0.0=pyhd8ed1ab_0 - m2w64-gcc-libgfortran=5.3.0=6 - m2w64-gcc-libs=5.3.0=7 @@ -141,7 +141,7 @@ dependencies: - nest-asyncio=1.6.0=pyhd8ed1ab_0 - notebook=6.5.7=pyha770c72_0 - notebook-shim=0.2.4=pyhd8ed1ab_0 - - numba=0.59.1=py310h9ccaf4f_0 + - numba=0.60.0=py310h7793332_0 - numcodecs=0.12.1=py310h9e98ed7_1 - numpy=1.23.5=py310h4a8f9c9_0 - openjpeg=2.5.2=h3d672ee_0 @@ -153,7 +153,7 @@ dependencies: - parso=0.8.4=pyhd8ed1ab_0 - partd=1.4.2=pyhd8ed1ab_0 - pickleshare=0.7.5=py_1003 - - pillow=10.3.0=py310hf5d6e66_0 + - pillow=10.3.0=py310h3e38d90_1 - pip=24.0=pyhd8ed1ab_0 - pkgutil-resolve-name=1.3.10=pyhd8ed1ab_1 - platformdirs=4.2.2=pyhd8ed1ab_0 @@ -181,7 +181,7 @@ dependencies: - pytest-cov=5.0.0=pyhd8ed1ab_0 - python=3.10.14=h4de0772_0_cpython - python-dateutil=2.9.0=pyhd8ed1ab_0 - - python-fastjsonschema=2.19.1=pyhd8ed1ab_0 + - python-fastjsonschema=2.20.0=pyhd8ed1ab_0 - python-tzdata=2023.4=pyhd8ed1ab_0 - python_abi=3.10=4_cp310 - pytz=2024.1=pyhd8ed1ab_0 @@ -197,7 +197,7 @@ dependencies: - scipy=1.13.1=py310h46043a1_0 - scooby=0.10.0=pyhd8ed1ab_0 - send2trash=1.8.3=pyh5737063_0 - - setuptools=70.0.0=pyhd8ed1ab_0 + - setuptools=70.1.0=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 - sniffio=1.3.1=pyhd8ed1ab_0 - snowballstemmer=2.2.0=pyhd8ed1ab_0 @@ -220,7 +220,7 @@ dependencies: - sphinxcontrib-jsmath=1.0.1=pyhd8ed1ab_0 - sphinxcontrib-qthelp=1.0.7=pyhd8ed1ab_0 - sphinxcontrib-serializinghtml=1.1.10=pyhd8ed1ab_0 - - sqlalchemy=2.0.30=py310ha8f682b_0 + - sqlalchemy=2.0.31=py310ha8f682b_0 - stack_data=0.6.2=pyhd8ed1ab_0 - tabulate=0.9.0=pyhd8ed1ab_1 - tbb=2021.12.0=hc790b64_1 @@ -242,7 +242,7 @@ dependencies: - uc-micro-py=1.0.3=pyhd8ed1ab_0 - ucrt=10.0.22621.0=h57928b3_0 - unicodedata2=15.1.0=py310h8d17308_0 - - urllib3=2.2.1=pyhd8ed1ab_0 + - urllib3=2.2.2=pyhd8ed1ab_0 - utm=0.7.0=pyhd8ed1ab_0 - vc=14.3=h8a93ad2_20 - vc14_runtime=14.40.33810=ha82c5b3_20 diff --git a/environments/py-3.10-win-64.conda.lock.yml b/environments/py-3.10-win-64.conda.lock.yml index b29dd607..de807b44 100644 --- a/environments/py-3.10-win-64.conda.lock.yml +++ b/environments/py-3.10-win-64.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: 637a96a53bd1a4fbbc05b1285db7455700a92fb69195edce80eca69f07686e7c +# input_hash: 4b7c75a9af8b7cce0694c54ecfef3e2dd33c5645fc3ec75db615e94692ca12f6 channels: - conda-forge @@ -58,10 +58,10 @@ dependencies: - libssh2=1.11.0=h7dfc565_0 - libtiff=4.6.0=hddb2be6_3 - libwebp-base=1.4.0=hcfcfb64_0 - - libxcb=1.15=hcd874cb_0 + - libxcb=1.16=hcd874cb_0 - libxml2=2.12.7=h283a6d9_1 - libzlib=1.3.1=h2466b09_1 - - llvmlite=0.42.0=py310hb84602e_1 + - llvmlite=0.43.0=py310h0288bfe_0 - locket=1.0.0=pyhd8ed1ab_0 - m2w64-gcc-libgfortran=5.3.0=6 - m2w64-gcc-libs=5.3.0=7 @@ -74,7 +74,7 @@ dependencies: - msgpack-python=1.0.8=py310hc19bc0b_0 - msys2-conda-epoch=20160418=1 - munkres=1.1.4=pyh9f0ad1d_0 - - numba=0.59.1=py310h9ccaf4f_0 + - numba=0.60.0=py310h7793332_0 - numcodecs=0.12.1=py310h9e98ed7_1 - numpy=1.23.5=py310h4a8f9c9_0 - openjpeg=2.5.2=h3d672ee_0 @@ -82,7 +82,7 @@ dependencies: - packaging=24.1=pyhd8ed1ab_0 - pandas=2.2.2=py310hb4db72f_1 - partd=1.4.2=pyhd8ed1ab_0 - - pillow=10.3.0=py310hf5d6e66_0 + - pillow=10.3.0=py310h3e38d90_1 - pip=24.0=pyhd8ed1ab_0 - psutil=5.9.8=py310h8d17308_0 - pthread-stubs=0.4=hcd874cb_1001 @@ -103,7 +103,7 @@ dependencies: - scikit-learn=1.4.2=py310hf2a6c47_1 - scipy=1.13.1=py310h46043a1_0 - scooby=0.10.0=pyhd8ed1ab_0 - - setuptools=70.0.0=pyhd8ed1ab_0 + - setuptools=70.1.0=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 - sortedcontainers=2.4.0=pyhd8ed1ab_0 - tbb=2021.12.0=hc790b64_1 @@ -118,7 +118,7 @@ dependencies: - tzdata=2024a=h0c530f3_0 - ucrt=10.0.22621.0=h57928b3_0 - unicodedata2=15.1.0=py310h8d17308_0 - - urllib3=2.2.1=pyhd8ed1ab_0 + - urllib3=2.2.2=pyhd8ed1ab_0 - utm=0.7.0=pyhd8ed1ab_0 - vc=14.3=h8a93ad2_20 - vc14_runtime=14.40.33810=ha82c5b3_20 diff --git a/py-3.10.conda-lock.yml b/py-3.10.conda-lock.yml index 9da97f94..ca6324f2 100644 --- a/py-3.10.conda-lock.yml +++ b/py-3.10.conda-lock.yml @@ -15,8 +15,8 @@ version: 1 metadata: content_hash: - win-64: 637a96a53bd1a4fbbc05b1285db7455700a92fb69195edce80eca69f07686e7c - linux-64: 178eb2a3f6ff6bfef6eec3fc48234ef9d631fabc31f909a78d123fe002c0c453 + win-64: 4b7c75a9af8b7cce0694c54ecfef3e2dd33c5645fc3ec75db615e94692ca12f6 + linux-64: 8218dda5bc9bae3fb3c57217c7d26127c7bfb6668c43fe054904c25bf279a176 channels: - url: conda-forge used_env_vars: [] @@ -52,29 +52,29 @@ package: category: main optional: false - name: accessible-pygments - version: 0.0.4 + version: 0.0.5 manager: conda platform: linux-64 dependencies: pygments: '' - python: '>=3.6' - url: https://conda.anaconda.org/conda-forge/noarch/accessible-pygments-0.0.4-pyhd8ed1ab_0.conda + python: '>=3.9' + url: https://conda.anaconda.org/conda-forge/noarch/accessible-pygments-0.0.5-pyhd8ed1ab_0.conda hash: - 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md5: 7c1062eaa78dec4ea8a9a988dbda6045 - sha256: 002d48084157a23c7e40a9b225bab95ea02ac6cb9267aa7739da2a3491bb0220 + md5: b80f2f396ca2c28b8c14c437a4ed1e74 + sha256: 764b6950aceaaad0c67ef925417594dd14cd2e22fff864aeef455ac259263d15 category: main optional: false - name: lerc @@ -2831,10 +2831,10 @@ package: dependencies: _libgcc_mutex: '0.1' _openmp_mutex: '>=4.5' - url: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-13.2.0-h77fa898_9.conda + url: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-13.2.0-h77fa898_11.conda hash: - md5: f23bc130bc3d2bbd9d9d6892609546ea - sha256: 99766cf453f4d5ed78b8446d81de99a5fe243dea0d73cf402454f81c136c7d7d + md5: 0b3b218a596bb4c3854cc9ee799f94e5 + sha256: bbdd49b5a191105cf4bf82a59d611afa1e8568efa556dd988e4e5d0efc3058b1 category: main optional: false - name: libgfortran-ng @@ -2843,10 +2843,10 @@ package: platform: linux-64 dependencies: libgfortran5: 13.2.0 - url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-13.2.0-h69a702a_9.conda + url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-13.2.0-h69a702a_11.conda hash: - md5: 90a8b0f4e0d4a333f54d0c33b882ee9a - sha256: 2e233e7b461749fcbc14b5e6ed5372a02e766924c1d73526ba9a46094c9499ba + md5: 4c3e460d6acf8e43e4ce8bf405187eb7 + sha256: f91aa928161201f189057c90db1508def36bef6329ebb29a71d8064b180250dd category: main optional: false - name: libgfortran5 @@ -2855,10 +2855,10 @@ package: platform: linux-64 dependencies: libgcc-ng: '>=13.2.0' - url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-13.2.0-h3d2ce59_9.conda + url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-13.2.0-h3d2ce59_11.conda hash: - md5: 2f2a59af95aed6024368b8dbaf9591d8 - sha256: 16042f9ee0b6303c85cac9c763dd32e8bdc82f3f7c24156560e603adfc31506a + md5: c485da4fdb454539f852a90ae06e9bb7 + sha256: de8535b5fb39a78f4b7473b88c400c922ae063f29500c097743b480fd0a4f326 category: main optional: false - name: libhwloc @@ -3126,10 +3126,10 @@ package: platform: linux-64 dependencies: libgcc-ng: 13.2.0 - url: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-13.2.0-hc0a3c3a_9.conda + url: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-13.2.0-hc0a3c3a_11.conda hash: - 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name: numcodecs @@ -4586,17 +4586,17 @@ package: libgcc-ng: '>=12' libjpeg-turbo: '>=3.0.0,<4.0a0' libtiff: '>=4.6.0,<4.7.0a0' - libwebp-base: '>=1.3.2,<2.0a0' - libxcb: '>=1.15,<1.16.0a0' - libzlib: '>=1.2.13,<2.0.0a0' + libwebp-base: '>=1.4.0,<2.0a0' + libxcb: '>=1.16,<1.17.0a0' + libzlib: '>=1.3.1,<2.0a0' openjpeg: '>=2.5.2,<3.0a0' python: '>=3.10,<3.11.0a0' python_abi: 3.10.* tk: '>=8.6.13,<8.7.0a0' - url: https://conda.anaconda.org/conda-forge/linux-64/pillow-10.3.0-py310hf73ecf8_0.conda + url: https://conda.anaconda.org/conda-forge/linux-64/pillow-10.3.0-py310hebfe307_1.conda hash: - md5: 1de56cf017dfd02aa84093206a0141a8 - sha256: 89caf2bb9b6d6d0c874590128b36676615750b5ef121fab514bc737dc48534da + md5: 8d357fd769e0e1a957f5916bdc8b1fa2 + sha256: adb1d874246c47cc8972894b13eeb70ef1aab067f51e615f4976cfe9c3ee3208 category: main optional: false - name: pillow @@ -4608,9 +4608,9 @@ package: lcms2: '>=2.16,<3.0a0' libjpeg-turbo: '>=3.0.0,<4.0a0' libtiff: '>=4.6.0,<4.7.0a0' - libwebp-base: '>=1.3.2,<2.0a0' - libxcb: '>=1.15,<1.16.0a0' - libzlib: '>=1.2.13,<2.0.0a0' + libwebp-base: '>=1.4.0,<2.0a0' + libxcb: '>=1.16,<1.17.0a0' + libzlib: '>=1.3.1,<2.0a0' openjpeg: '>=2.5.2,<3.0a0' python: '>=3.10,<3.11.0a0' python_abi: 3.10.* @@ -4618,10 +4618,10 @@ package: ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vc14_runtime: '>=14.29.30139' - url: https://conda.anaconda.org/conda-forge/win-64/pillow-10.3.0-py310hf5d6e66_0.conda + url: https://conda.anaconda.org/conda-forge/win-64/pillow-10.3.0-py310h3e38d90_1.conda hash: - md5: 510e3e5f72df4cb88e99cdd5ba730330 - sha256: d64813920c313c0e44040cd257c6e238a72ada45e8c2ce47c007deb7f049cba5 + md5: ee35afda8b2154e7396fae5ca7fbea6b + sha256: 50a0d0f8de51c47f8ca0820f0ebfc7730aec4a7a98069347a3395b21b67f7e21 category: main optional: false - name: pip @@ -5415,27 +5415,27 @@ package: category: main optional: false - name: python-fastjsonschema - version: 2.19.1 + version: 2.20.0 manager: conda platform: linux-64 dependencies: python: '>=3.3' - url: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.19.1-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.20.0-pyhd8ed1ab_0.conda hash: - 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url: https://conda.anaconda.org/conda-forge/noarch/setuptools-70.0.0-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/setuptools-70.1.0-pyhd8ed1ab_0.conda hash: - md5: c8ddb4f34a208df4dd42509a0f6a1c89 - sha256: daa4638d288cfdf3b0ecea395d8efa25cafc4ebf4026464a36c797c84541d2be + md5: 258e66f95f814d51ada2a1fe9274039b + sha256: a43d33436f4ac57ebd6ee15f700b33b26a2d37b7e43981b1fa036908579dafd6 category: main optional: false - name: setuptools - version: 70.0.0 + version: 70.1.0 manager: conda platform: win-64 dependencies: python: '>=3.8' - url: https://conda.anaconda.org/conda-forge/noarch/setuptools-70.0.0-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/setuptools-70.1.0-pyhd8ed1ab_0.conda hash: - md5: c8ddb4f34a208df4dd42509a0f6a1c89 - sha256: daa4638d288cfdf3b0ecea395d8efa25cafc4ebf4026464a36c797c84541d2be + md5: 258e66f95f814d51ada2a1fe9274039b + sha256: a43d33436f4ac57ebd6ee15f700b33b26a2d37b7e43981b1fa036908579dafd6 category: main optional: false - name: six @@ -6510,7 +6510,7 @@ package: category: dev optional: true - name: sqlalchemy - version: 2.0.30 + version: 2.0.31 manager: conda platform: linux-64 dependencies: @@ -6519,14 +6519,14 @@ package: python: '>=3.10,<3.11.0a0' python_abi: 3.10.* typing-extensions: '>=4.6.0' - url: https://conda.anaconda.org/conda-forge/linux-64/sqlalchemy-2.0.30-py310hc51659f_0.conda + url: https://conda.anaconda.org/conda-forge/linux-64/sqlalchemy-2.0.31-py310hc51659f_0.conda hash: - md5: e866147541cd321f3d01a96492335c26 - sha256: 5fc0f6e526f6eac1b6a16b99c3920d53b8e983d5e4d8048f9f394fca6e7682db + md5: 938cc25cbacaf9612e34b431855c76d0 + sha256: 166b883f88740ab8f473c3bfe728aed7c3ffcf448f85682e586b74e8ae40bcd5 category: dev optional: true - name: sqlalchemy - version: 2.0.30 + version: 2.0.31 manager: conda platform: win-64 dependencies: @@ -6537,10 +6537,10 @@ package: ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vc14_runtime: '>=14.29.30139' - url: https://conda.anaconda.org/conda-forge/win-64/sqlalchemy-2.0.30-py310ha8f682b_0.conda + url: https://conda.anaconda.org/conda-forge/win-64/sqlalchemy-2.0.31-py310ha8f682b_0.conda hash: - md5: cff2fac6486a27e92046c8fbd6133430 - sha256: 5e17592afeacc05ab1fcae7b55da8748cbd14df6b07e3a807eb02a48688013ce + md5: bdfa8874d6699251efe882053b9a2972 + sha256: 4e8ab8aabb096a6d3873f68ec4dff462cbe02e110930fc4c2fbb60b3866af7cc category: dev optional: true - name: stack_data @@ -7068,31 +7068,31 @@ package: category: main optional: false - name: urllib3 - version: 2.2.1 + version: 2.2.2 manager: conda platform: linux-64 dependencies: brotli-python: '>=1.0.9' pysocks: '>=1.5.6,<2.0,!=1.5.7' python: '>=3.7' - url: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.1-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.2-pyhd8ed1ab_0.conda hash: - md5: 08807a87fa7af10754d46f63b368e016 - sha256: d4009dcc9327684d6409706ce17656afbeae690d8522d3c9bc4df57649a352cd + md5: 92cdb6fe54b78739ad70637e4f0deb07 + sha256: 8cd972048f297b8e0601158ce352f5ca9510dda9f2706a46560220aa58b9f038 category: main optional: false - name: urllib3 - version: 2.2.1 + version: 2.2.2 manager: conda platform: win-64 dependencies: python: '>=3.7' brotli-python: '>=1.0.9' pysocks: '>=1.5.6,<2.0,!=1.5.7' - url: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.1-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.2-pyhd8ed1ab_0.conda hash: - md5: 08807a87fa7af10754d46f63b368e016 - sha256: d4009dcc9327684d6409706ce17656afbeae690d8522d3c9bc4df57649a352cd + md5: 92cdb6fe54b78739ad70637e4f0deb07 + sha256: 8cd972048f297b8e0601158ce352f5ca9510dda9f2706a46560220aa58b9f038 category: main optional: false - name: utm @@ -7550,7 +7550,7 @@ package: h5py: '>=3.2.1,<4.0.0' numpy: '>=1.23.5,<1.24.0' pydantic: '>=2.5.2,<2.6.0' - scipy: '>=1.10.1,<1.11.0' + scipy: '>=1.13,<1.14' url: https://github.com/MiraGeoscience/geoapps-utils/archive/refs/heads/develop.zip hash: {} category: main @@ -7568,7 +7568,7 @@ package: h5py: '>=3.2.1,<4.0.0' numpy: '>=1.23.5,<1.24.0' pydantic: '>=2.5.2,<2.6.0' - scipy: '>=1.10.1,<1.11.0' + scipy: '>=1.13,<1.14' url: https://github.com/MiraGeoscience/geoapps-utils/archive/refs/heads/develop.zip hash: {} category: main @@ -7662,7 +7662,7 @@ package: h5py: '>=3.2.1,<4.0.0' numpy: '>=1.23.5,<1.24.0' pydantic: '>=2.5.2,<2.6.0' - scipy: '>=1.10.1,<1.11.0' + scipy: '>=1.13,<1.14' url: https://github.com/MiraGeoscience/octree-creation-app/archive/refs/heads/develop.zip hash: {} category: main @@ -7682,7 +7682,7 @@ package: h5py: '>=3.2.1,<4.0.0' numpy: '>=1.23.5,<1.24.0' pydantic: '>=2.5.2,<2.6.0' - scipy: '>=1.10.1,<1.11.0' + scipy: '>=1.13,<1.14' url: https://github.com/MiraGeoscience/octree-creation-app/archive/refs/heads/develop.zip hash: {} category: main diff --git a/pyproject.toml b/pyproject.toml index a75163a1..c5568ebe 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -65,6 +65,7 @@ geoana = "~0.4.0" # from simpeg h5py = "^3.2.1" # from geoh5py matplotlib = "~3.7.1" # from simpeg mkl = "2022.1.*" # from simpeg +tbb = "2021.12.0" pandas = "~2.2.1" # from SimPEG, also used by targeting-workflow, petro-lingo pydantic = "~2.5.2" # from geoapps-utils pydiso = "~0.0.3" # from simpeg From 8caacd30a07a41f61a1974b0a83768615fafdb65 Mon Sep 17 00:00:00 2001 From: dominiquef Date: Thu, 20 Jun 2024 12:15:39 -0700 Subject: [PATCH 044/350] Fix tbb version (cherry picked from commit e4d81228ee6a2c2c091198e5dd976bc24be82feb) --- .../py-3.10-linux-64-dev.conda.lock.yml | 32 +-- environments/py-3.10-linux-64.conda.lock.yml | 26 +- .../py-3.10-win-64-dev.conda.lock.yml | 20 +- environments/py-3.10-win-64.conda.lock.yml | 14 +- py-3.10.conda-lock.yml | 224 +++++++++--------- pyproject.toml | 1 + 6 files changed, 159 insertions(+), 158 deletions(-) diff --git a/environments/py-3.10-linux-64-dev.conda.lock.yml b/environments/py-3.10-linux-64-dev.conda.lock.yml index 95f871e9..f2f5a2e8 100644 --- a/environments/py-3.10-linux-64-dev.conda.lock.yml +++ b/environments/py-3.10-linux-64-dev.conda.lock.yml @@ -1,13 +1,13 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: 178eb2a3f6ff6bfef6eec3fc48234ef9d631fabc31f909a78d123fe002c0c453 +# input_hash: 8218dda5bc9bae3fb3c57217c7d26127c7bfb6668c43fe054904c25bf279a176 channels: - conda-forge dependencies: - _libgcc_mutex=0.1=conda_forge - _openmp_mutex=4.5=2_kmp_llvm - - accessible-pygments=0.0.4=pyhd8ed1ab_0 + - accessible-pygments=0.0.5=pyhd8ed1ab_0 - alabaster=0.7.16=pyhd8ed1ab_0 - annotated-types=0.7.0=pyhd8ed1ab_0 - anyio=3.7.1=pyhd8ed1ab_0 @@ -90,7 +90,7 @@ dependencies: - krb5=1.21.2=h659d440_0 - latexcodec=2.0.1=pyh9f0ad1d_0 - lcms2=2.16=hb7c19ff_0 - - ld_impl_linux-64=2.40=hf3520f5_3 + - ld_impl_linux-64=2.40=hf3520f5_7 - lerc=4.0.0=h27087fc_0 - libaec=1.1.3=h59595ed_0 - libblas=3.9.0=16_linux64_mkl @@ -104,9 +104,9 @@ dependencies: - libedit=3.1.20191231=he28a2e2_2 - libev=4.33=hd590300_2 - libffi=3.4.2=h7f98852_5 - - libgcc-ng=13.2.0=h77fa898_9 - - libgfortran-ng=13.2.0=h69a702a_9 - - libgfortran5=13.2.0=h3d2ce59_9 + - libgcc-ng=13.2.0=h77fa898_11 + - libgfortran-ng=13.2.0=h69a702a_11 + - libgfortran5=13.2.0=h3d2ce59_11 - libhwloc=2.10.0=default_h5622ce7_1001 - libiconv=1.17=hd590300_2 - libjpeg-turbo=3.0.0=hd590300_1 @@ -118,17 +118,17 @@ dependencies: - libsodium=1.0.18=h36c2ea0_1 - libsqlite=3.46.0=hde9e2c9_0 - libssh2=1.11.0=h0841786_0 - - libstdcxx-ng=13.2.0=hc0a3c3a_9 + - libstdcxx-ng=13.2.0=hc0a3c3a_11 - libtiff=4.6.0=h1dd3fc0_3 - libuuid=2.38.1=h0b41bf4_0 - libwebp-base=1.4.0=hd590300_0 - - libxcb=1.15=h0b41bf4_0 + - libxcb=1.16=hd590300_0 - libxcrypt=4.4.36=hd590300_1 - libxml2=2.12.7=hc051c1a_1 - libzlib=1.3.1=h4ab18f5_1 - linkify-it-py=2.0.3=pyhd8ed1ab_0 - - llvm-openmp=18.1.7=ha31de31_0 - - llvmlite=0.42.0=py310h1b8f574_1 + - llvm-openmp=18.1.8=hf5423f3_0 + - llvmlite=0.43.0=py310h4c7c693_0 - locket=1.0.0=pyhd8ed1ab_0 - markdown-it-py=2.2.0=pyhd8ed1ab_0 - markupsafe=2.1.5=py310h2372a71_0 @@ -153,7 +153,7 @@ dependencies: - nest-asyncio=1.6.0=pyhd8ed1ab_0 - notebook=6.5.7=pyha770c72_0 - notebook-shim=0.2.4=pyhd8ed1ab_0 - - numba=0.59.1=py310h7dc5dd1_0 + - numba=0.60.0=py310h5dc88bb_0 - numcodecs=0.12.1=py310h76e45a6_1 - numpy=1.23.5=py310h53a5b5f_0 - openjpeg=2.5.2=h488ebb8_0 @@ -166,7 +166,7 @@ dependencies: - partd=1.4.2=pyhd8ed1ab_0 - pexpect=4.9.0=pyhd8ed1ab_0 - pickleshare=0.7.5=py_1003 - - pillow=10.3.0=py310hf73ecf8_0 + - pillow=10.3.0=py310hebfe307_1 - pip=24.0=pyhd8ed1ab_0 - pkgutil-resolve-name=1.3.10=pyhd8ed1ab_1 - platformdirs=4.2.2=pyhd8ed1ab_0 @@ -194,7 +194,7 @@ dependencies: - pytest-cov=5.0.0=pyhd8ed1ab_0 - python=3.10.14=hd12c33a_0_cpython - python-dateutil=2.9.0=pyhd8ed1ab_0 - - python-fastjsonschema=2.19.1=pyhd8ed1ab_0 + - python-fastjsonschema=2.20.0=pyhd8ed1ab_0 - python-tzdata=2023.4=pyhd8ed1ab_0 - python_abi=3.10=4_cp310 - pytz=2024.1=pyhd8ed1ab_0 @@ -209,7 +209,7 @@ dependencies: - scipy=1.13.1=py310h93e2701_0 - scooby=0.10.0=pyhd8ed1ab_0 - send2trash=1.8.3=pyh0d859eb_0 - - setuptools=70.0.0=pyhd8ed1ab_0 + - setuptools=70.1.0=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 - sniffio=1.3.1=pyhd8ed1ab_0 - snowballstemmer=2.2.0=pyhd8ed1ab_0 @@ -232,7 +232,7 @@ dependencies: - sphinxcontrib-jsmath=1.0.1=pyhd8ed1ab_0 - sphinxcontrib-qthelp=1.0.7=pyhd8ed1ab_0 - sphinxcontrib-serializinghtml=1.1.10=pyhd8ed1ab_0 - - sqlalchemy=2.0.30=py310hc51659f_0 + - sqlalchemy=2.0.31=py310hc51659f_0 - stack_data=0.6.2=pyhd8ed1ab_0 - tabulate=0.9.0=pyhd8ed1ab_1 - tbb=2021.12.0=h297d8ca_1 @@ -253,7 +253,7 @@ dependencies: - tzdata=2024a=h0c530f3_0 - uc-micro-py=1.0.3=pyhd8ed1ab_0 - unicodedata2=15.1.0=py310h2372a71_0 - - urllib3=2.2.1=pyhd8ed1ab_0 + - urllib3=2.2.2=pyhd8ed1ab_0 - utm=0.7.0=pyhd8ed1ab_0 - wcwidth=0.2.13=pyhd8ed1ab_0 - webencodings=0.5.1=pyhd8ed1ab_2 diff --git a/environments/py-3.10-linux-64.conda.lock.yml b/environments/py-3.10-linux-64.conda.lock.yml index 43e6352e..371a9478 100644 --- a/environments/py-3.10-linux-64.conda.lock.yml +++ b/environments/py-3.10-linux-64.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: 178eb2a3f6ff6bfef6eec3fc48234ef9d631fabc31f909a78d123fe002c0c453 +# input_hash: 8218dda5bc9bae3fb3c57217c7d26127c7bfb6668c43fe054904c25bf279a176 channels: - conda-forge @@ -42,7 +42,7 @@ dependencies: - kiwisolver=1.4.5=py310hd41b1e2_1 - krb5=1.21.2=h659d440_0 - lcms2=2.16=hb7c19ff_0 - - ld_impl_linux-64=2.40=hf3520f5_3 + - ld_impl_linux-64=2.40=hf3520f5_7 - lerc=4.0.0=h27087fc_0 - libaec=1.1.3=h59595ed_0 - libblas=3.9.0=16_linux64_mkl @@ -56,9 +56,9 @@ dependencies: - libedit=3.1.20191231=he28a2e2_2 - libev=4.33=hd590300_2 - libffi=3.4.2=h7f98852_5 - - libgcc-ng=13.2.0=h77fa898_9 - - libgfortran-ng=13.2.0=h69a702a_9 - - libgfortran5=13.2.0=h3d2ce59_9 + - libgcc-ng=13.2.0=h77fa898_11 + - libgfortran-ng=13.2.0=h69a702a_11 + - libgfortran5=13.2.0=h3d2ce59_11 - libhwloc=2.10.0=default_h5622ce7_1001 - libiconv=1.17=hd590300_2 - libjpeg-turbo=3.0.0=hd590300_1 @@ -69,16 +69,16 @@ dependencies: - libpng=1.6.43=h2797004_0 - libsqlite=3.46.0=hde9e2c9_0 - libssh2=1.11.0=h0841786_0 - - libstdcxx-ng=13.2.0=hc0a3c3a_9 + - libstdcxx-ng=13.2.0=hc0a3c3a_11 - libtiff=4.6.0=h1dd3fc0_3 - libuuid=2.38.1=h0b41bf4_0 - libwebp-base=1.4.0=hd590300_0 - - libxcb=1.15=h0b41bf4_0 + - libxcb=1.16=hd590300_0 - libxcrypt=4.4.36=hd590300_1 - libxml2=2.12.7=hc051c1a_1 - libzlib=1.3.1=h4ab18f5_1 - - llvm-openmp=18.1.7=ha31de31_0 - - llvmlite=0.42.0=py310h1b8f574_1 + - llvm-openmp=18.1.8=hf5423f3_0 + - llvmlite=0.43.0=py310h4c7c693_0 - locket=1.0.0=pyhd8ed1ab_0 - markupsafe=2.1.5=py310h2372a71_0 - matplotlib-base=3.7.3=py310h62c0568_0 @@ -86,7 +86,7 @@ dependencies: - msgpack-python=1.0.8=py310h25c7140_0 - munkres=1.1.4=pyh9f0ad1d_0 - ncurses=6.5=h59595ed_0 - - numba=0.59.1=py310h7dc5dd1_0 + - numba=0.60.0=py310h5dc88bb_0 - numcodecs=0.12.1=py310h76e45a6_1 - numpy=1.23.5=py310h53a5b5f_0 - openjpeg=2.5.2=h488ebb8_0 @@ -94,7 +94,7 @@ dependencies: - packaging=24.1=pyhd8ed1ab_0 - pandas=2.2.2=py310hf9f9076_1 - partd=1.4.2=pyhd8ed1ab_0 - - pillow=10.3.0=py310hf73ecf8_0 + - pillow=10.3.0=py310hebfe307_1 - pip=24.0=pyhd8ed1ab_0 - psutil=5.9.8=py310h2372a71_0 - pthread-stubs=0.4=h36c2ea0_1001 @@ -115,7 +115,7 @@ dependencies: - scikit-learn=1.4.2=py310h981052a_1 - scipy=1.13.1=py310h93e2701_0 - scooby=0.10.0=pyhd8ed1ab_0 - - setuptools=70.0.0=pyhd8ed1ab_0 + - setuptools=70.1.0=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 - sortedcontainers=2.4.0=pyhd8ed1ab_0 - tbb=2021.12.0=h297d8ca_1 @@ -129,7 +129,7 @@ dependencies: - typing_extensions=4.12.2=pyha770c72_0 - tzdata=2024a=h0c530f3_0 - unicodedata2=15.1.0=py310h2372a71_0 - - urllib3=2.2.1=pyhd8ed1ab_0 + - urllib3=2.2.2=pyhd8ed1ab_0 - utm=0.7.0=pyhd8ed1ab_0 - wheel=0.43.0=pyhd8ed1ab_1 - xorg-libxau=1.0.11=hd590300_0 diff --git a/environments/py-3.10-win-64-dev.conda.lock.yml b/environments/py-3.10-win-64-dev.conda.lock.yml index fb1eeb20..f4c3eae4 100644 --- a/environments/py-3.10-win-64-dev.conda.lock.yml +++ b/environments/py-3.10-win-64-dev.conda.lock.yml @@ -1,11 +1,11 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: 637a96a53bd1a4fbbc05b1285db7455700a92fb69195edce80eca69f07686e7c +# input_hash: 4b7c75a9af8b7cce0694c54ecfef3e2dd33c5645fc3ec75db615e94692ca12f6 channels: - conda-forge dependencies: - - accessible-pygments=0.0.4=pyhd8ed1ab_0 + - accessible-pygments=0.0.5=pyhd8ed1ab_0 - alabaster=0.7.16=pyhd8ed1ab_0 - annotated-types=0.7.0=pyhd8ed1ab_0 - anyio=3.7.1=pyhd8ed1ab_0 @@ -107,11 +107,11 @@ dependencies: - libssh2=1.11.0=h7dfc565_0 - libtiff=4.6.0=hddb2be6_3 - libwebp-base=1.4.0=hcfcfb64_0 - - libxcb=1.15=hcd874cb_0 + - libxcb=1.16=hcd874cb_0 - libxml2=2.12.7=h283a6d9_1 - libzlib=1.3.1=h2466b09_1 - linkify-it-py=2.0.3=pyhd8ed1ab_0 - - llvmlite=0.42.0=py310hb84602e_1 + - llvmlite=0.43.0=py310h0288bfe_0 - locket=1.0.0=pyhd8ed1ab_0 - m2w64-gcc-libgfortran=5.3.0=6 - m2w64-gcc-libs=5.3.0=7 @@ -141,7 +141,7 @@ dependencies: - nest-asyncio=1.6.0=pyhd8ed1ab_0 - notebook=6.5.7=pyha770c72_0 - notebook-shim=0.2.4=pyhd8ed1ab_0 - - numba=0.59.1=py310h9ccaf4f_0 + - numba=0.60.0=py310h7793332_0 - numcodecs=0.12.1=py310h9e98ed7_1 - numpy=1.23.5=py310h4a8f9c9_0 - openjpeg=2.5.2=h3d672ee_0 @@ -153,7 +153,7 @@ dependencies: - parso=0.8.4=pyhd8ed1ab_0 - partd=1.4.2=pyhd8ed1ab_0 - pickleshare=0.7.5=py_1003 - - pillow=10.3.0=py310hf5d6e66_0 + - pillow=10.3.0=py310h3e38d90_1 - pip=24.0=pyhd8ed1ab_0 - pkgutil-resolve-name=1.3.10=pyhd8ed1ab_1 - platformdirs=4.2.2=pyhd8ed1ab_0 @@ -181,7 +181,7 @@ dependencies: - pytest-cov=5.0.0=pyhd8ed1ab_0 - python=3.10.14=h4de0772_0_cpython - python-dateutil=2.9.0=pyhd8ed1ab_0 - - python-fastjsonschema=2.19.1=pyhd8ed1ab_0 + - python-fastjsonschema=2.20.0=pyhd8ed1ab_0 - python-tzdata=2023.4=pyhd8ed1ab_0 - python_abi=3.10=4_cp310 - pytz=2024.1=pyhd8ed1ab_0 @@ -197,7 +197,7 @@ dependencies: - scipy=1.13.1=py310h46043a1_0 - scooby=0.10.0=pyhd8ed1ab_0 - send2trash=1.8.3=pyh5737063_0 - - setuptools=70.0.0=pyhd8ed1ab_0 + - setuptools=70.1.0=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 - sniffio=1.3.1=pyhd8ed1ab_0 - snowballstemmer=2.2.0=pyhd8ed1ab_0 @@ -220,7 +220,7 @@ dependencies: - sphinxcontrib-jsmath=1.0.1=pyhd8ed1ab_0 - sphinxcontrib-qthelp=1.0.7=pyhd8ed1ab_0 - sphinxcontrib-serializinghtml=1.1.10=pyhd8ed1ab_0 - - sqlalchemy=2.0.30=py310ha8f682b_0 + - sqlalchemy=2.0.31=py310ha8f682b_0 - stack_data=0.6.2=pyhd8ed1ab_0 - tabulate=0.9.0=pyhd8ed1ab_1 - tbb=2021.12.0=hc790b64_1 @@ -242,7 +242,7 @@ dependencies: - uc-micro-py=1.0.3=pyhd8ed1ab_0 - ucrt=10.0.22621.0=h57928b3_0 - unicodedata2=15.1.0=py310h8d17308_0 - - urllib3=2.2.1=pyhd8ed1ab_0 + - urllib3=2.2.2=pyhd8ed1ab_0 - utm=0.7.0=pyhd8ed1ab_0 - vc=14.3=h8a93ad2_20 - vc14_runtime=14.40.33810=ha82c5b3_20 diff --git a/environments/py-3.10-win-64.conda.lock.yml b/environments/py-3.10-win-64.conda.lock.yml index b29dd607..de807b44 100644 --- a/environments/py-3.10-win-64.conda.lock.yml +++ b/environments/py-3.10-win-64.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: 637a96a53bd1a4fbbc05b1285db7455700a92fb69195edce80eca69f07686e7c +# input_hash: 4b7c75a9af8b7cce0694c54ecfef3e2dd33c5645fc3ec75db615e94692ca12f6 channels: - conda-forge @@ -58,10 +58,10 @@ dependencies: - libssh2=1.11.0=h7dfc565_0 - libtiff=4.6.0=hddb2be6_3 - libwebp-base=1.4.0=hcfcfb64_0 - - libxcb=1.15=hcd874cb_0 + - libxcb=1.16=hcd874cb_0 - libxml2=2.12.7=h283a6d9_1 - libzlib=1.3.1=h2466b09_1 - - llvmlite=0.42.0=py310hb84602e_1 + - llvmlite=0.43.0=py310h0288bfe_0 - locket=1.0.0=pyhd8ed1ab_0 - m2w64-gcc-libgfortran=5.3.0=6 - m2w64-gcc-libs=5.3.0=7 @@ -74,7 +74,7 @@ dependencies: - msgpack-python=1.0.8=py310hc19bc0b_0 - msys2-conda-epoch=20160418=1 - munkres=1.1.4=pyh9f0ad1d_0 - - numba=0.59.1=py310h9ccaf4f_0 + - numba=0.60.0=py310h7793332_0 - numcodecs=0.12.1=py310h9e98ed7_1 - numpy=1.23.5=py310h4a8f9c9_0 - openjpeg=2.5.2=h3d672ee_0 @@ -82,7 +82,7 @@ dependencies: - packaging=24.1=pyhd8ed1ab_0 - pandas=2.2.2=py310hb4db72f_1 - partd=1.4.2=pyhd8ed1ab_0 - - pillow=10.3.0=py310hf5d6e66_0 + - pillow=10.3.0=py310h3e38d90_1 - pip=24.0=pyhd8ed1ab_0 - psutil=5.9.8=py310h8d17308_0 - pthread-stubs=0.4=hcd874cb_1001 @@ -103,7 +103,7 @@ dependencies: - scikit-learn=1.4.2=py310hf2a6c47_1 - scipy=1.13.1=py310h46043a1_0 - scooby=0.10.0=pyhd8ed1ab_0 - - setuptools=70.0.0=pyhd8ed1ab_0 + - setuptools=70.1.0=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 - sortedcontainers=2.4.0=pyhd8ed1ab_0 - tbb=2021.12.0=hc790b64_1 @@ -118,7 +118,7 @@ dependencies: - tzdata=2024a=h0c530f3_0 - ucrt=10.0.22621.0=h57928b3_0 - unicodedata2=15.1.0=py310h8d17308_0 - - urllib3=2.2.1=pyhd8ed1ab_0 + - urllib3=2.2.2=pyhd8ed1ab_0 - utm=0.7.0=pyhd8ed1ab_0 - vc=14.3=h8a93ad2_20 - vc14_runtime=14.40.33810=ha82c5b3_20 diff --git a/py-3.10.conda-lock.yml b/py-3.10.conda-lock.yml index 9da97f94..ca6324f2 100644 --- a/py-3.10.conda-lock.yml +++ b/py-3.10.conda-lock.yml @@ -15,8 +15,8 @@ version: 1 metadata: content_hash: - win-64: 637a96a53bd1a4fbbc05b1285db7455700a92fb69195edce80eca69f07686e7c - linux-64: 178eb2a3f6ff6bfef6eec3fc48234ef9d631fabc31f909a78d123fe002c0c453 + win-64: 4b7c75a9af8b7cce0694c54ecfef3e2dd33c5645fc3ec75db615e94692ca12f6 + linux-64: 8218dda5bc9bae3fb3c57217c7d26127c7bfb6668c43fe054904c25bf279a176 channels: - url: conda-forge used_env_vars: [] @@ -52,29 +52,29 @@ package: category: main optional: false - name: accessible-pygments - version: 0.0.4 + version: 0.0.5 manager: conda platform: linux-64 dependencies: pygments: '' - python: '>=3.6' - url: https://conda.anaconda.org/conda-forge/noarch/accessible-pygments-0.0.4-pyhd8ed1ab_0.conda + python: '>=3.9' + url: https://conda.anaconda.org/conda-forge/noarch/accessible-pygments-0.0.5-pyhd8ed1ab_0.conda hash: - 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name: six @@ -6510,7 +6510,7 @@ package: category: dev optional: true - name: sqlalchemy - version: 2.0.30 + version: 2.0.31 manager: conda platform: linux-64 dependencies: @@ -6519,14 +6519,14 @@ package: python: '>=3.10,<3.11.0a0' python_abi: 3.10.* typing-extensions: '>=4.6.0' - url: https://conda.anaconda.org/conda-forge/linux-64/sqlalchemy-2.0.30-py310hc51659f_0.conda + url: https://conda.anaconda.org/conda-forge/linux-64/sqlalchemy-2.0.31-py310hc51659f_0.conda hash: - md5: e866147541cd321f3d01a96492335c26 - sha256: 5fc0f6e526f6eac1b6a16b99c3920d53b8e983d5e4d8048f9f394fca6e7682db + md5: 938cc25cbacaf9612e34b431855c76d0 + sha256: 166b883f88740ab8f473c3bfe728aed7c3ffcf448f85682e586b74e8ae40bcd5 category: dev optional: true - name: sqlalchemy - version: 2.0.30 + version: 2.0.31 manager: conda platform: win-64 dependencies: @@ -6537,10 +6537,10 @@ package: ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vc14_runtime: '>=14.29.30139' - url: https://conda.anaconda.org/conda-forge/win-64/sqlalchemy-2.0.30-py310ha8f682b_0.conda + url: https://conda.anaconda.org/conda-forge/win-64/sqlalchemy-2.0.31-py310ha8f682b_0.conda hash: - md5: cff2fac6486a27e92046c8fbd6133430 - sha256: 5e17592afeacc05ab1fcae7b55da8748cbd14df6b07e3a807eb02a48688013ce + md5: bdfa8874d6699251efe882053b9a2972 + sha256: 4e8ab8aabb096a6d3873f68ec4dff462cbe02e110930fc4c2fbb60b3866af7cc category: dev optional: true - name: stack_data @@ -7068,31 +7068,31 @@ package: category: main optional: false - name: urllib3 - version: 2.2.1 + version: 2.2.2 manager: conda platform: linux-64 dependencies: brotli-python: '>=1.0.9' pysocks: '>=1.5.6,<2.0,!=1.5.7' python: '>=3.7' - url: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.1-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.2-pyhd8ed1ab_0.conda hash: - md5: 08807a87fa7af10754d46f63b368e016 - sha256: d4009dcc9327684d6409706ce17656afbeae690d8522d3c9bc4df57649a352cd + md5: 92cdb6fe54b78739ad70637e4f0deb07 + sha256: 8cd972048f297b8e0601158ce352f5ca9510dda9f2706a46560220aa58b9f038 category: main optional: false - name: urllib3 - version: 2.2.1 + version: 2.2.2 manager: conda platform: win-64 dependencies: python: '>=3.7' brotli-python: '>=1.0.9' pysocks: '>=1.5.6,<2.0,!=1.5.7' - url: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.1-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.2-pyhd8ed1ab_0.conda hash: - md5: 08807a87fa7af10754d46f63b368e016 - sha256: d4009dcc9327684d6409706ce17656afbeae690d8522d3c9bc4df57649a352cd + md5: 92cdb6fe54b78739ad70637e4f0deb07 + sha256: 8cd972048f297b8e0601158ce352f5ca9510dda9f2706a46560220aa58b9f038 category: main optional: false - name: utm @@ -7550,7 +7550,7 @@ package: h5py: '>=3.2.1,<4.0.0' numpy: '>=1.23.5,<1.24.0' pydantic: '>=2.5.2,<2.6.0' - scipy: '>=1.10.1,<1.11.0' + scipy: '>=1.13,<1.14' url: https://github.com/MiraGeoscience/geoapps-utils/archive/refs/heads/develop.zip hash: {} category: main @@ -7568,7 +7568,7 @@ package: h5py: '>=3.2.1,<4.0.0' numpy: '>=1.23.5,<1.24.0' pydantic: '>=2.5.2,<2.6.0' - scipy: '>=1.10.1,<1.11.0' + scipy: '>=1.13,<1.14' url: https://github.com/MiraGeoscience/geoapps-utils/archive/refs/heads/develop.zip hash: {} category: main @@ -7662,7 +7662,7 @@ package: h5py: '>=3.2.1,<4.0.0' numpy: '>=1.23.5,<1.24.0' pydantic: '>=2.5.2,<2.6.0' - scipy: '>=1.10.1,<1.11.0' + scipy: '>=1.13,<1.14' url: https://github.com/MiraGeoscience/octree-creation-app/archive/refs/heads/develop.zip hash: {} category: main @@ -7682,7 +7682,7 @@ package: h5py: '>=3.2.1,<4.0.0' numpy: '>=1.23.5,<1.24.0' pydantic: '>=2.5.2,<2.6.0' - scipy: '>=1.10.1,<1.11.0' + scipy: '>=1.13,<1.14' url: https://github.com/MiraGeoscience/octree-creation-app/archive/refs/heads/develop.zip hash: {} category: main diff --git a/pyproject.toml b/pyproject.toml index a75163a1..c5568ebe 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -65,6 +65,7 @@ geoana = "~0.4.0" # from simpeg h5py = "^3.2.1" # from geoh5py matplotlib = "~3.7.1" # from simpeg mkl = "2022.1.*" # from simpeg +tbb = "2021.12.0" pandas = "~2.2.1" # from SimPEG, also used by targeting-workflow, petro-lingo pydantic = "~2.5.2" # from geoapps-utils pydiso = "~0.0.3" # from simpeg From e323e226bf1dfac28c5ae073912b73860bf5294b Mon Sep 17 00:00:00 2001 From: dominiquef Date: Thu, 20 Jun 2024 13:09:14 -0700 Subject: [PATCH 045/350] Move mkl version to 2023 --- .../py-3.10-linux-64-dev.conda.lock.yml | 12 +-- environments/py-3.10-linux-64.conda.lock.yml | 12 +-- .../py-3.10-win-64-dev.conda.lock.yml | 14 +-- environments/py-3.10-win-64.conda.lock.yml | 14 +-- py-3.10.conda-lock.yml | 98 +++++++++---------- pyproject.toml | 2 +- 6 files changed, 76 insertions(+), 76 deletions(-) diff --git a/environments/py-3.10-linux-64-dev.conda.lock.yml b/environments/py-3.10-linux-64-dev.conda.lock.yml index f2f5a2e8..a39c1de4 100644 --- a/environments/py-3.10-linux-64-dev.conda.lock.yml +++ b/environments/py-3.10-linux-64-dev.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: 8218dda5bc9bae3fb3c57217c7d26127c7bfb6668c43fe054904c25bf279a176 +# input_hash: a5b7409eb66e81aeadfd30b2cbb9a0b051b967bf29415a1b59701bfe1141ca46 channels: - conda-forge @@ -93,11 +93,11 @@ dependencies: - ld_impl_linux-64=2.40=hf3520f5_7 - lerc=4.0.0=h27087fc_0 - libaec=1.1.3=h59595ed_0 - - libblas=3.9.0=16_linux64_mkl + - libblas=3.9.0=20_linux64_mkl - libbrotlicommon=1.1.0=hd590300_1 - libbrotlidec=1.1.0=hd590300_1 - libbrotlienc=1.1.0=hd590300_1 - - libcblas=3.9.0=16_linux64_mkl + - libcblas=3.9.0=20_linux64_mkl - libcurl=8.8.0=hca28451_0 - libdeflate=1.20=hd590300_0 - libdlf=0.2.0=pyhd8ed1ab_0 @@ -110,7 +110,7 @@ dependencies: - libhwloc=2.10.0=default_h5622ce7_1001 - libiconv=1.17=hd590300_2 - libjpeg-turbo=3.0.0=hd590300_1 - - liblapack=3.9.0=16_linux64_mkl + - liblapack=3.9.0=20_linux64_mkl - libllvm14=14.0.6=hcd5def8_4 - libnghttp2=1.58.0=h47da74e_1 - libnsl=2.0.1=hd590300_0 @@ -138,7 +138,7 @@ dependencies: - mdit-py-plugins=0.4.1=pyhd8ed1ab_0 - mdurl=0.1.2=pyhd8ed1ab_0 - mistune=3.0.2=pyhd8ed1ab_0 - - mkl=2022.1.0=h84fe81f_915 + - mkl=2023.2.0=h84fe81f_50496 - msgpack-python=1.0.8=py310h25c7140_0 - munkres=1.1.4=pyh9f0ad1d_0 - myst-nb=0.17.2=pyhd8ed1ab_0 @@ -183,7 +183,7 @@ dependencies: - pydantic=2.5.3=pyhd8ed1ab_0 - pydantic-core=2.14.6=py310hcb5633a_1 - pydata-sphinx-theme=0.15.3=pyhd8ed1ab_0 - - pydiso=0.0.3=py310h1dd1467_4 + - pydiso=0.0.5=py310h4fb8009_1 - pygments=2.18.0=pyhd8ed1ab_0 - pylint=3.2.3=pyhd8ed1ab_0 - pymatsolver=0.2.0=ha770c72_3 diff --git a/environments/py-3.10-linux-64.conda.lock.yml b/environments/py-3.10-linux-64.conda.lock.yml index 371a9478..9983c86d 100644 --- a/environments/py-3.10-linux-64.conda.lock.yml +++ b/environments/py-3.10-linux-64.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: 8218dda5bc9bae3fb3c57217c7d26127c7bfb6668c43fe054904c25bf279a176 +# input_hash: a5b7409eb66e81aeadfd30b2cbb9a0b051b967bf29415a1b59701bfe1141ca46 channels: - conda-forge @@ -45,11 +45,11 @@ dependencies: - ld_impl_linux-64=2.40=hf3520f5_7 - lerc=4.0.0=h27087fc_0 - libaec=1.1.3=h59595ed_0 - - libblas=3.9.0=16_linux64_mkl + - libblas=3.9.0=20_linux64_mkl - libbrotlicommon=1.1.0=hd590300_1 - libbrotlidec=1.1.0=hd590300_1 - libbrotlienc=1.1.0=hd590300_1 - - libcblas=3.9.0=16_linux64_mkl + - libcblas=3.9.0=20_linux64_mkl - libcurl=8.8.0=hca28451_0 - libdeflate=1.20=hd590300_0 - libdlf=0.2.0=pyhd8ed1ab_0 @@ -62,7 +62,7 @@ dependencies: - libhwloc=2.10.0=default_h5622ce7_1001 - libiconv=1.17=hd590300_2 - libjpeg-turbo=3.0.0=hd590300_1 - - liblapack=3.9.0=16_linux64_mkl + - liblapack=3.9.0=20_linux64_mkl - libllvm14=14.0.6=hcd5def8_4 - libnghttp2=1.58.0=h47da74e_1 - libnsl=2.0.1=hd590300_0 @@ -82,7 +82,7 @@ dependencies: - locket=1.0.0=pyhd8ed1ab_0 - markupsafe=2.1.5=py310h2372a71_0 - matplotlib-base=3.7.3=py310h62c0568_0 - - mkl=2022.1.0=h84fe81f_915 + - mkl=2023.2.0=h84fe81f_50496 - msgpack-python=1.0.8=py310h25c7140_0 - munkres=1.1.4=pyh9f0ad1d_0 - ncurses=6.5=h59595ed_0 @@ -100,7 +100,7 @@ dependencies: - pthread-stubs=0.4=h36c2ea0_1001 - pydantic=2.5.3=pyhd8ed1ab_0 - pydantic-core=2.14.6=py310hcb5633a_1 - - pydiso=0.0.3=py310h1dd1467_4 + - pydiso=0.0.5=py310h4fb8009_1 - pymatsolver=0.2.0=ha770c72_3 - pymatsolver-base=0.2.0=pyh44b312d_3 - pyparsing=3.1.2=pyhd8ed1ab_0 diff --git a/environments/py-3.10-win-64-dev.conda.lock.yml b/environments/py-3.10-win-64-dev.conda.lock.yml index f4c3eae4..3f81f535 100644 --- a/environments/py-3.10-win-64-dev.conda.lock.yml +++ b/environments/py-3.10-win-64-dev.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: 4b7c75a9af8b7cce0694c54ecfef3e2dd33c5645fc3ec75db615e94692ca12f6 +# input_hash: 9736419d8ea251230aee4c0a1f71e737c6a35944a57f59cceae0cd52e9e03e7f channels: - conda-forge @@ -63,7 +63,7 @@ dependencies: - importlib_metadata=7.1.0=hd8ed1ab_0 - importlib_resources=6.4.0=pyhd8ed1ab_0 - iniconfig=2.0.0=pyhd8ed1ab_0 - - intel-openmp=2024.1.0=h57928b3_966 + - intel-openmp=2023.2.0=h57928b3_50497 - ipykernel=6.29.4=pyh4bbf305_0 - ipython=8.25.0=pyh7428d3b_0 - ipython_genutils=0.2.0=pyhd8ed1ab_1 @@ -88,11 +88,11 @@ dependencies: - lcms2=2.16=h67d730c_0 - lerc=4.0.0=h63175ca_0 - libaec=1.1.3=h63175ca_0 - - libblas=3.9.0=18_win64_mkl + - libblas=3.9.0=20_win64_mkl - libbrotlicommon=1.1.0=hcfcfb64_1 - libbrotlidec=1.1.0=hcfcfb64_1 - libbrotlienc=1.1.0=hcfcfb64_1 - - libcblas=3.9.0=18_win64_mkl + - libcblas=3.9.0=20_win64_mkl - libcurl=8.8.0=hd5e4a3a_0 - libdeflate=1.20=hcfcfb64_0 - libdlf=0.2.0=pyhd8ed1ab_0 @@ -100,7 +100,7 @@ dependencies: - libhwloc=2.10.0=default_h8125262_1001 - libiconv=1.17=hcfcfb64_2 - libjpeg-turbo=3.0.0=hcfcfb64_1 - - liblapack=3.9.0=18_win64_mkl + - liblapack=3.9.0=20_win64_mkl - libpng=1.6.43=h19919ed_0 - libsodium=1.0.18=h8d14728_1 - libsqlite=3.46.0=h2466b09_0 @@ -126,7 +126,7 @@ dependencies: - mdit-py-plugins=0.4.1=pyhd8ed1ab_0 - mdurl=0.1.2=pyhd8ed1ab_0 - mistune=3.0.2=pyhd8ed1ab_0 - - mkl=2022.1.0=h6a75c08_874 + - mkl=2023.2.0=h6a75c08_50497 - msgpack-python=1.0.8=py310hc19bc0b_0 - msys2-conda-epoch=20160418=1 - munkres=1.1.4=pyh9f0ad1d_0 @@ -170,7 +170,7 @@ dependencies: - pydantic=2.5.3=pyhd8ed1ab_0 - pydantic-core=2.14.6=py310h87d50f1_1 - pydata-sphinx-theme=0.15.3=pyhd8ed1ab_0 - - pydiso=0.0.3=py310h847dae0_4 + - pydiso=0.0.5=py310hafb2880_1 - pygments=2.18.0=pyhd8ed1ab_0 - pylint=3.2.3=pyhd8ed1ab_0 - pymatsolver=0.2.0=ha770c72_3 diff --git a/environments/py-3.10-win-64.conda.lock.yml b/environments/py-3.10-win-64.conda.lock.yml index de807b44..c01fc18c 100644 --- a/environments/py-3.10-win-64.conda.lock.yml +++ b/environments/py-3.10-win-64.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: 4b7c75a9af8b7cce0694c54ecfef3e2dd33c5645fc3ec75db615e94692ca12f6 +# input_hash: 9736419d8ea251230aee4c0a1f71e737c6a35944a57f59cceae0cd52e9e03e7f channels: - conda-forge @@ -32,7 +32,7 @@ dependencies: - geoana=0.4.0=py310h232114e_1 - h5py=3.11.0=nompi_py310h2b0be38_102 - hdf5=1.14.3=nompi_h2b43c12_105 - - intel-openmp=2024.1.0=h57928b3_966 + - intel-openmp=2023.2.0=h57928b3_50497 - jinja2=3.1.4=pyhd8ed1ab_0 - joblib=1.4.2=pyhd8ed1ab_0 - kiwisolver=1.4.5=py310h232114e_1 @@ -40,11 +40,11 @@ dependencies: - lcms2=2.16=h67d730c_0 - lerc=4.0.0=h63175ca_0 - libaec=1.1.3=h63175ca_0 - - libblas=3.9.0=18_win64_mkl + - libblas=3.9.0=20_win64_mkl - libbrotlicommon=1.1.0=hcfcfb64_1 - libbrotlidec=1.1.0=hcfcfb64_1 - libbrotlienc=1.1.0=hcfcfb64_1 - - libcblas=3.9.0=18_win64_mkl + - libcblas=3.9.0=20_win64_mkl - libcurl=8.8.0=hd5e4a3a_0 - libdeflate=1.20=hcfcfb64_0 - libdlf=0.2.0=pyhd8ed1ab_0 @@ -52,7 +52,7 @@ dependencies: - libhwloc=2.10.0=default_h8125262_1001 - libiconv=1.17=hcfcfb64_2 - libjpeg-turbo=3.0.0=hcfcfb64_1 - - liblapack=3.9.0=18_win64_mkl + - liblapack=3.9.0=20_win64_mkl - libpng=1.6.43=h19919ed_0 - libsqlite=3.46.0=h2466b09_0 - libssh2=1.11.0=h7dfc565_0 @@ -70,7 +70,7 @@ dependencies: - m2w64-libwinpthread-git=5.0.0.4634.697f757=2 - markupsafe=2.1.5=py310h8d17308_0 - matplotlib-base=3.7.3=py310hc9baf74_0 - - mkl=2022.1.0=h6a75c08_874 + - mkl=2023.2.0=h6a75c08_50497 - msgpack-python=1.0.8=py310hc19bc0b_0 - msys2-conda-epoch=20160418=1 - munkres=1.1.4=pyh9f0ad1d_0 @@ -89,7 +89,7 @@ dependencies: - pthreads-win32=2.9.1=hfa6e2cd_3 - pydantic=2.5.3=pyhd8ed1ab_0 - pydantic-core=2.14.6=py310h87d50f1_1 - - pydiso=0.0.3=py310h847dae0_4 + - pydiso=0.0.5=py310hafb2880_1 - pymatsolver=0.2.0=ha770c72_3 - pymatsolver-base=0.2.0=pyh44b312d_3 - pyparsing=3.1.2=pyhd8ed1ab_0 diff --git a/py-3.10.conda-lock.yml b/py-3.10.conda-lock.yml index ca6324f2..3182ebc5 100644 --- a/py-3.10.conda-lock.yml +++ b/py-3.10.conda-lock.yml @@ -15,8 +15,8 @@ version: 1 metadata: content_hash: - win-64: 4b7c75a9af8b7cce0694c54ecfef3e2dd33c5645fc3ec75db615e94692ca12f6 - linux-64: 8218dda5bc9bae3fb3c57217c7d26127c7bfb6668c43fe054904c25bf279a176 + win-64: 9736419d8ea251230aee4c0a1f71e737c6a35944a57f59cceae0cd52e9e03e7f + linux-64: a5b7409eb66e81aeadfd30b2cbb9a0b051b967bf29415a1b59701bfe1141ca46 channels: - url: conda-forge used_env_vars: [] @@ -1718,14 +1718,14 @@ package: category: dev optional: true - name: intel-openmp - version: 2024.1.0 + version: 2023.2.0 manager: conda platform: win-64 dependencies: {} - url: https://conda.anaconda.org/conda-forge/win-64/intel-openmp-2024.1.0-h57928b3_966.conda + url: https://conda.anaconda.org/conda-forge/win-64/intel-openmp-2023.2.0-h57928b3_50497.conda hash: - md5: 35d7ea07ad6c878bd7240d2d6c1b8657 - sha256: 77465396f2636c8b3b3a587f1636ee35c17a73e2a2c7e0ea0957b05f84704cf3 + md5: a401f3cae152deb75bbed766a90a6312 + sha256: dd9fded25ebe5c66af30ac6e3685146efdc2d7787035f01bfb546b347f138f6f category: main optional: false - name: ipykernel @@ -2562,11 +2562,11 @@ package: manager: conda platform: linux-64 dependencies: - mkl: '>=2022.1.0,<2023.0a0' - url: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-16_linux64_mkl.tar.bz2 + mkl: '>=2023.2.0,<2024.0a0' + url: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-20_linux64_mkl.conda hash: - md5: 85f61af03fd291dae33150ffe89dc09a - sha256: 24e656f13b402b6fceb88df386768445ab9beb657d451a8e5a88d4b3380cf7a4 + md5: 8bf521f6007b0b0eb91515a1165b5d85 + sha256: 9e5f27fca79223a5d38ccdf4c468e798c3684ba01bdb6b4b44e61f2103a298eb category: main optional: false - name: libblas @@ -2574,11 +2574,11 @@ package: manager: conda platform: win-64 dependencies: - mkl: 2022.1.0 - url: https://conda.anaconda.org/conda-forge/win-64/libblas-3.9.0-18_win64_mkl.conda + mkl: 2023.2.0 + url: https://conda.anaconda.org/conda-forge/win-64/libblas-3.9.0-20_win64_mkl.conda hash: - md5: b241da5b7a888f72bb3c3e82747334f4 - sha256: 5aef8d69197108f3c320a5d4ad4d19ab9c809cdbbf731c7ab988c227de42d6b5 + md5: 6cad6cd2fbdeef4d651b8f752a4da960 + sha256: 34becfe991510be7b9ee05b4ae466c5a26a72af275c3071c1ca7e2308d3f7e64 category: main optional: false - name: libbrotlicommon @@ -2669,10 +2669,10 @@ package: platform: linux-64 dependencies: libblas: 3.9.0 - url: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-16_linux64_mkl.tar.bz2 + url: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-20_linux64_mkl.conda hash: - md5: 361bf757b95488de76c4f123805742d3 - sha256: 892ba10508f22310ccfe748df1fd3b6c7f20e7b6f6b79e69ed337863551c1bd8 + md5: 7a2972758a03adc92d856072c71c9170 + sha256: 841b4d44e20e5207f4a74ca98176629ead5ba590384ed6b0fe3c8600248c9fef category: main optional: false - name: libcblas @@ -2681,10 +2681,10 @@ package: platform: win-64 dependencies: libblas: 3.9.0 - url: https://conda.anaconda.org/conda-forge/win-64/libcblas-3.9.0-18_win64_mkl.conda + url: https://conda.anaconda.org/conda-forge/win-64/libcblas-3.9.0-20_win64_mkl.conda hash: - md5: fb0b514194c14342a97dfe31a41d60fc - sha256: d5f60ed6508b3889a77caf5ff2b66203714e45ec4eea6e5cdb12fe6e8ef2bbdb + md5: e6d36cfcb2f2dff0f659d2aa0813eb2d + sha256: e526023ed8e7f6fde43698cd326dd16c8448f29414bab8a9594b33deb57a5347 category: main optional: false - name: libcurl @@ -2949,10 +2949,10 @@ package: platform: linux-64 dependencies: libblas: 3.9.0 - url: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-16_linux64_mkl.tar.bz2 + url: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-20_linux64_mkl.conda hash: - md5: a2f166748917d6d6e4707841ca1f519e - sha256: d6201f860b2d76ed59027e69c2bbad6d1cb211a215ec9705cc487cde488fa1fa + md5: 4db0cd03efcdab535f6f066aca4cddbb + sha256: 21b4324dd65815f6b5a83c15f0b9a201434d0aa55eeecc37efce7ee70bbbf482 category: main optional: false - name: liblapack @@ -2961,10 +2961,10 @@ package: platform: win-64 dependencies: libblas: 3.9.0 - url: https://conda.anaconda.org/conda-forge/win-64/liblapack-3.9.0-18_win64_mkl.conda + url: https://conda.anaconda.org/conda-forge/win-64/liblapack-3.9.0-20_win64_mkl.conda hash: - md5: 82117ef735a916ace2df6f2de4df4824 - sha256: f90d96695938659fad4dd47d92dbeebff4a3824979bfb1aac33c8287a83e9d23 + md5: 9510d07424d70fcac553d86b3e4a7c14 + sha256: 7627ef580c26e48c3496b5885fd32be4e4db49fa1077eb21235dc638489565f6 category: main optional: false - name: libllvm14 @@ -3713,30 +3713,30 @@ package: category: dev optional: true - name: mkl - version: 2022.1.0 + version: 2023.2.0 manager: conda platform: linux-64 dependencies: _openmp_mutex: '>=4.5' - llvm-openmp: '>=14.0.3' + llvm-openmp: '>=17.0.3' tbb: 2021.* - url: https://conda.anaconda.org/conda-forge/linux-64/mkl-2022.1.0-h84fe81f_915.tar.bz2 + url: https://conda.anaconda.org/conda-forge/linux-64/mkl-2023.2.0-h84fe81f_50496.conda hash: - md5: b9c8f925797a93dbff45e1626b025a6b - sha256: 767318c4f2057822a7ebc238d6065ce12c6ae60df4ab892758adb79b1057ce02 + md5: 81d4a1a57d618adf0152db973d93b2ad + sha256: 046073737bf73153b0c39e343b197cdf0b7867d336962369407465a17ea5979a category: main optional: false - name: mkl - version: 2022.1.0 + version: 2023.2.0 manager: conda platform: win-64 dependencies: - intel-openmp: '' + intel-openmp: 2023.* tbb: 2021.* - url: https://conda.anaconda.org/conda-forge/win-64/mkl-2022.1.0-h6a75c08_874.tar.bz2 + url: https://conda.anaconda.org/conda-forge/win-64/mkl-2023.2.0-h6a75c08_50497.conda hash: - md5: 2ff89a7337a9636029b4db9466e9f8e3 - sha256: b130d13dba6a798cbcce8f19c52e9765b75b8668d2f8f95ba8210c63b6fa84eb + md5: 064cea9f45531e7b53584acf4bd8b044 + sha256: 46ec9e767279da219398b6e79c8fa95822b2ed3c8e02ab604615b7d1213a5d5a category: main optional: false - name: msgpack-python @@ -5067,39 +5067,39 @@ package: category: dev optional: true - name: pydiso - version: 0.0.3 + version: 0.0.5 manager: conda platform: linux-64 dependencies: libgcc-ng: '>=12' - mkl: '>=2022.1.0,<2023.0a0' - numpy: '>=1.21.6,<2.0a0' + mkl: '>=2023.2.0,<2024.0a0' + numpy: '>=1.19,<3' python: '>=3.10,<3.11.0a0' python_abi: 3.10.* scipy: '>=0.13' - url: https://conda.anaconda.org/conda-forge/linux-64/pydiso-0.0.3-py310h1dd1467_4.tar.bz2 + url: https://conda.anaconda.org/conda-forge/linux-64/pydiso-0.0.5-py310h4fb8009_1.conda hash: - md5: 35402d207b798650a58e15f2a12335ef - sha256: 1a81cfce8a9bd81e6b6ed099ef1939ee53fd119dfe11c4169ad2422e245967aa + md5: a2f5fd3d7e3264a2262ca812fbbba7b4 + sha256: e67817ba65763c2a6c22844a08a1be392310b59c23d5a36ee47ce9fa02f579d1 category: main optional: false - name: pydiso - version: 0.0.3 + version: 0.0.5 manager: conda platform: win-64 dependencies: - mkl: '>=2022.1.0,<2023.0a0' - numpy: '>=1.21.6,<2.0a0' + mkl: '>=2023.2.0,<2024.0a0' + numpy: '>=1.19,<3' python: '>=3.10,<3.11.0a0' python_abi: 3.10.* scipy: '>=0.13' ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' - url: https://conda.anaconda.org/conda-forge/win-64/pydiso-0.0.3-py310h847dae0_4.tar.bz2 + vc14_runtime: '>=14.29.30139' + url: https://conda.anaconda.org/conda-forge/win-64/pydiso-0.0.5-py310hafb2880_1.conda hash: - md5: be5580cf9f16fe52820c00c8edc39e15 - sha256: a2d0ef0294fff49ee8e927ecb56562c0ae71f2217cdf8bbe4d574dded0f989d7 + md5: 53b03f9b3a8007d17319e8af42e6d4c6 + sha256: f1bd1b59292fa320d0714d8a6b1d431e9b5656b957adb242b0f760007e7585a6 category: main optional: false - name: pygments diff --git a/pyproject.toml b/pyproject.toml index c5568ebe..8caf1b12 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -64,7 +64,7 @@ fsspec = "2022.*" # from simpeg[dask] geoana = "~0.4.0" # from simpeg h5py = "^3.2.1" # from geoh5py matplotlib = "~3.7.1" # from simpeg -mkl = "2022.1.*" # from simpeg +mkl = "2023.2.*" # from simpeg tbb = "2021.12.0" pandas = "~2.2.1" # from SimPEG, also used by targeting-workflow, petro-lingo pydantic = "~2.5.2" # from geoapps-utils From de7260993164c3896a062f0c04542dc918615f0b Mon Sep 17 00:00:00 2001 From: dominiquef Date: Thu, 20 Jun 2024 14:45:24 -0700 Subject: [PATCH 046/350] Force version of mkl --- .../py-3.10-linux-64-dev.conda.lock.yml | 6 +-- environments/py-3.10-linux-64.conda.lock.yml | 2 +- .../py-3.10-win-64-dev.conda.lock.yml | 6 +-- environments/py-3.10-win-64.conda.lock.yml | 2 +- py-3.10.conda-lock.yml | 40 +++++++++---------- pyproject.toml | 4 +- 6 files changed, 30 insertions(+), 30 deletions(-) diff --git a/environments/py-3.10-linux-64-dev.conda.lock.yml b/environments/py-3.10-linux-64-dev.conda.lock.yml index a39c1de4..6f49db95 100644 --- a/environments/py-3.10-linux-64-dev.conda.lock.yml +++ b/environments/py-3.10-linux-64-dev.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: a5b7409eb66e81aeadfd30b2cbb9a0b051b967bf29415a1b59701bfe1141ca46 +# input_hash: f118039b07fcec8872c4d185bdc0031e38bac08c6412f57ba023423c411d10a5 channels: - conda-forge @@ -63,8 +63,8 @@ dependencies: - icu=73.2=h59595ed_0 - idna=3.7=pyhd8ed1ab_0 - imagesize=1.4.1=pyhd8ed1ab_0 - - importlib-metadata=7.1.0=pyha770c72_0 - - importlib_metadata=7.1.0=hd8ed1ab_0 + - importlib-metadata=7.2.0=pyha770c72_0 + - importlib_metadata=7.2.0=hd8ed1ab_0 - importlib_resources=6.4.0=pyhd8ed1ab_0 - iniconfig=2.0.0=pyhd8ed1ab_0 - ipykernel=6.29.4=pyh3099207_0 diff --git a/environments/py-3.10-linux-64.conda.lock.yml b/environments/py-3.10-linux-64.conda.lock.yml index 9983c86d..4a9e368a 100644 --- a/environments/py-3.10-linux-64.conda.lock.yml +++ b/environments/py-3.10-linux-64.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: a5b7409eb66e81aeadfd30b2cbb9a0b051b967bf29415a1b59701bfe1141ca46 +# input_hash: f118039b07fcec8872c4d185bdc0031e38bac08c6412f57ba023423c411d10a5 channels: - conda-forge diff --git a/environments/py-3.10-win-64-dev.conda.lock.yml b/environments/py-3.10-win-64-dev.conda.lock.yml index 3f81f535..123b1f11 100644 --- a/environments/py-3.10-win-64-dev.conda.lock.yml +++ b/environments/py-3.10-win-64-dev.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: 9736419d8ea251230aee4c0a1f71e737c6a35944a57f59cceae0cd52e9e03e7f +# input_hash: 3399d486b64f7ee15f2b550e45045536fb26369e56b664dfb889858f99dfc573 channels: - conda-forge @@ -59,8 +59,8 @@ dependencies: - hdf5=1.14.3=nompi_h2b43c12_105 - idna=3.7=pyhd8ed1ab_0 - imagesize=1.4.1=pyhd8ed1ab_0 - - importlib-metadata=7.1.0=pyha770c72_0 - - importlib_metadata=7.1.0=hd8ed1ab_0 + - importlib-metadata=7.2.0=pyha770c72_0 + - importlib_metadata=7.2.0=hd8ed1ab_0 - importlib_resources=6.4.0=pyhd8ed1ab_0 - iniconfig=2.0.0=pyhd8ed1ab_0 - intel-openmp=2023.2.0=h57928b3_50497 diff --git a/environments/py-3.10-win-64.conda.lock.yml b/environments/py-3.10-win-64.conda.lock.yml index c01fc18c..5a46bcdc 100644 --- a/environments/py-3.10-win-64.conda.lock.yml +++ b/environments/py-3.10-win-64.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: 9736419d8ea251230aee4c0a1f71e737c6a35944a57f59cceae0cd52e9e03e7f +# input_hash: 3399d486b64f7ee15f2b550e45045536fb26369e56b664dfb889858f99dfc573 channels: - conda-forge diff --git a/py-3.10.conda-lock.yml b/py-3.10.conda-lock.yml index 3182ebc5..cf935d8b 100644 --- a/py-3.10.conda-lock.yml +++ b/py-3.10.conda-lock.yml @@ -15,8 +15,8 @@ version: 1 metadata: content_hash: - win-64: 9736419d8ea251230aee4c0a1f71e737c6a35944a57f59cceae0cd52e9e03e7f - linux-64: a5b7409eb66e81aeadfd30b2cbb9a0b051b967bf29415a1b59701bfe1141ca46 + win-64: 3399d486b64f7ee15f2b550e45045536fb26369e56b664dfb889858f99dfc573 + linux-64: f118039b07fcec8872c4d185bdc0031e38bac08c6412f57ba023423c411d10a5 channels: - url: conda-forge used_env_vars: [] @@ -1618,53 +1618,53 @@ package: category: dev optional: true - name: importlib-metadata - version: 7.1.0 + version: 7.2.0 manager: conda platform: linux-64 dependencies: python: '>=3.8' zipp: '>=0.5' - url: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-7.1.0-pyha770c72_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-7.2.0-pyha770c72_0.conda hash: - md5: 0896606848b2dc5cebdf111b6543aa04 - sha256: cc2e7d1f7f01cede30feafc1118b7aefa244d0a12224513734e24165ae12ba49 + md5: e1d9f6dc77209defc283bdf61588e968 + sha256: 15a35caaff1d06dc7177d7272a7b1c6cf14849569ecf2204baf0be875849d807 category: dev optional: true - name: importlib-metadata - version: 7.1.0 + version: 7.2.0 manager: conda platform: win-64 dependencies: python: '>=3.8' zipp: '>=0.5' - url: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-7.1.0-pyha770c72_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-7.2.0-pyha770c72_0.conda hash: - md5: 0896606848b2dc5cebdf111b6543aa04 - sha256: cc2e7d1f7f01cede30feafc1118b7aefa244d0a12224513734e24165ae12ba49 + md5: e1d9f6dc77209defc283bdf61588e968 + sha256: 15a35caaff1d06dc7177d7272a7b1c6cf14849569ecf2204baf0be875849d807 category: dev optional: true - name: importlib_metadata - version: 7.1.0 + version: 7.2.0 manager: conda platform: linux-64 dependencies: - importlib-metadata: '>=7.1.0,<7.1.1.0a0' - url: https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-7.1.0-hd8ed1ab_0.conda + importlib-metadata: '>=7.2.0,<7.2.1.0a0' + url: https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-7.2.0-hd8ed1ab_0.conda hash: - md5: 6ef2b72d291b39e479d7694efa2b2b98 - sha256: 01dc057a45dedcc742a71599f67c7383ae2bf873be6018ebcbd06ac8d994dedb + md5: 3de0087b2b86443cfae650dea6ecec6f + sha256: 0e75772e6731ece321838e6b6cb6cc2d69b9e38bf5372f85544869209cade52e category: dev optional: true - name: importlib_metadata - version: 7.1.0 + version: 7.2.0 manager: conda platform: win-64 dependencies: - importlib-metadata: '>=7.1.0,<7.1.1.0a0' - url: https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-7.1.0-hd8ed1ab_0.conda + importlib-metadata: '>=7.2.0,<7.2.1.0a0' + url: https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-7.2.0-hd8ed1ab_0.conda hash: - md5: 6ef2b72d291b39e479d7694efa2b2b98 - sha256: 01dc057a45dedcc742a71599f67c7383ae2bf873be6018ebcbd06ac8d994dedb + md5: 3de0087b2b86443cfae650dea6ecec6f + sha256: 0e75772e6731ece321838e6b6cb6cc2d69b9e38bf5372f85544869209cade52e category: dev optional: true - name: importlib_resources diff --git a/pyproject.toml b/pyproject.toml index 8caf1b12..52bd7d99 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -64,8 +64,7 @@ fsspec = "2022.*" # from simpeg[dask] geoana = "~0.4.0" # from simpeg h5py = "^3.2.1" # from geoh5py matplotlib = "~3.7.1" # from simpeg -mkl = "2023.2.*" # from simpeg -tbb = "2021.12.0" +mkl = "2023.2.0" # from simpeg pandas = "~2.2.1" # from SimPEG, also used by targeting-workflow, petro-lingo pydantic = "~2.5.2" # from geoapps-utils pydiso = "~0.0.3" # from simpeg @@ -75,6 +74,7 @@ tqdm = "^4.66.1" # from simpeg # force some versions to resolve incompatible resolution between PyPI and Conda #------------------------------------------------------------------------------ +tbb = "~2021.12.0" tzdata = "2023.4" # through pandas from SimPEG ## about pip dependencies From 61c08d36ac0f843fe234842c7cd00a2e89f611e2 Mon Sep 17 00:00:00 2001 From: dominiquef Date: Thu, 20 Jun 2024 15:14:51 -0700 Subject: [PATCH 047/350] Pin pydiso higher --- environments/py-3.10-linux-64-dev.conda.lock.yml | 2 +- environments/py-3.10-linux-64.conda.lock.yml | 2 +- environments/py-3.10-win-64-dev.conda.lock.yml | 2 +- environments/py-3.10-win-64.conda.lock.yml | 2 +- py-3.10.conda-lock.yml | 4 ++-- pyproject.toml | 2 +- 6 files changed, 7 insertions(+), 7 deletions(-) diff --git a/environments/py-3.10-linux-64-dev.conda.lock.yml b/environments/py-3.10-linux-64-dev.conda.lock.yml index 6f49db95..0d85136b 100644 --- a/environments/py-3.10-linux-64-dev.conda.lock.yml +++ b/environments/py-3.10-linux-64-dev.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: f118039b07fcec8872c4d185bdc0031e38bac08c6412f57ba023423c411d10a5 +# input_hash: 0412cab7eb41dcdc0b44da75201e3142ce67f8768f31a6154a87d96e166e70e9 channels: - conda-forge diff --git a/environments/py-3.10-linux-64.conda.lock.yml b/environments/py-3.10-linux-64.conda.lock.yml index 4a9e368a..86a5f7db 100644 --- a/environments/py-3.10-linux-64.conda.lock.yml +++ b/environments/py-3.10-linux-64.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: f118039b07fcec8872c4d185bdc0031e38bac08c6412f57ba023423c411d10a5 +# input_hash: 0412cab7eb41dcdc0b44da75201e3142ce67f8768f31a6154a87d96e166e70e9 channels: - conda-forge diff --git a/environments/py-3.10-win-64-dev.conda.lock.yml b/environments/py-3.10-win-64-dev.conda.lock.yml index 123b1f11..d90d2712 100644 --- a/environments/py-3.10-win-64-dev.conda.lock.yml +++ b/environments/py-3.10-win-64-dev.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: 3399d486b64f7ee15f2b550e45045536fb26369e56b664dfb889858f99dfc573 +# input_hash: 3977f97bafef2b35b1a211441f228b5aced99a926876289f524f0a0da99925b6 channels: - conda-forge diff --git a/environments/py-3.10-win-64.conda.lock.yml b/environments/py-3.10-win-64.conda.lock.yml index 5a46bcdc..4b3baa20 100644 --- a/environments/py-3.10-win-64.conda.lock.yml +++ b/environments/py-3.10-win-64.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: 3399d486b64f7ee15f2b550e45045536fb26369e56b664dfb889858f99dfc573 +# input_hash: 3977f97bafef2b35b1a211441f228b5aced99a926876289f524f0a0da99925b6 channels: - conda-forge diff --git a/py-3.10.conda-lock.yml b/py-3.10.conda-lock.yml index cf935d8b..be3468c7 100644 --- a/py-3.10.conda-lock.yml +++ b/py-3.10.conda-lock.yml @@ -15,8 +15,8 @@ version: 1 metadata: content_hash: - win-64: 3399d486b64f7ee15f2b550e45045536fb26369e56b664dfb889858f99dfc573 - linux-64: f118039b07fcec8872c4d185bdc0031e38bac08c6412f57ba023423c411d10a5 + win-64: 3977f97bafef2b35b1a211441f228b5aced99a926876289f524f0a0da99925b6 + linux-64: 0412cab7eb41dcdc0b44da75201e3142ce67f8768f31a6154a87d96e166e70e9 channels: - url: conda-forge used_env_vars: [] diff --git a/pyproject.toml b/pyproject.toml index 52bd7d99..78c7eb4b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -67,7 +67,7 @@ matplotlib = "~3.7.1" # from simpeg mkl = "2023.2.0" # from simpeg pandas = "~2.2.1" # from SimPEG, also used by targeting-workflow, petro-lingo pydantic = "~2.5.2" # from geoapps-utils -pydiso = "~0.0.3" # from simpeg +pydiso = "~0.0.5" # from simpeg pymatsolver = "~0.2.0" # from simpeg scikit-learn = "~1.4.0" # from SimPEG, also used by geo-unsup-mapper, petro-lingo tqdm = "^4.66.1" # from simpeg From 20cb166ef01c7053d625391da313ecf4f17f0034 Mon Sep 17 00:00:00 2001 From: dominiquef Date: Thu, 20 Jun 2024 22:30:14 -0700 Subject: [PATCH 048/350] Hard lock of intel --- .../py-3.10-linux-64-dev.conda.lock.yml | 4 ++- environments/py-3.10-linux-64.conda.lock.yml | 4 ++- .../py-3.10-win-64-dev.conda.lock.yml | 3 ++- environments/py-3.10-win-64.conda.lock.yml | 3 ++- py-3.10.conda-lock.yml | 27 +++++++++++++++++-- pyproject.toml | 3 ++- 6 files changed, 37 insertions(+), 7 deletions(-) diff --git a/environments/py-3.10-linux-64-dev.conda.lock.yml b/environments/py-3.10-linux-64-dev.conda.lock.yml index 0d85136b..9f481129 100644 --- a/environments/py-3.10-linux-64-dev.conda.lock.yml +++ b/environments/py-3.10-linux-64-dev.conda.lock.yml @@ -1,9 +1,10 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: 0412cab7eb41dcdc0b44da75201e3142ce67f8768f31a6154a87d96e166e70e9 +# input_hash: 5f4a0f510041c4a1ca27b5eda8c66254434256d7f2b50c985b88c41f179a3aed channels: - conda-forge + - intel dependencies: - _libgcc_mutex=0.1=conda_forge - _openmp_mutex=4.5=2_kmp_llvm @@ -67,6 +68,7 @@ dependencies: - importlib_metadata=7.2.0=hd8ed1ab_0 - importlib_resources=6.4.0=pyhd8ed1ab_0 - iniconfig=2.0.0=pyhd8ed1ab_0 + - intel-openmp=2023.2.4=intel_49553 - ipykernel=6.29.4=pyh3099207_0 - ipython=8.25.0=pyh707e725_0 - ipython_genutils=0.2.0=pyhd8ed1ab_1 diff --git a/environments/py-3.10-linux-64.conda.lock.yml b/environments/py-3.10-linux-64.conda.lock.yml index 86a5f7db..04d8fda0 100644 --- a/environments/py-3.10-linux-64.conda.lock.yml +++ b/environments/py-3.10-linux-64.conda.lock.yml @@ -1,9 +1,10 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: 0412cab7eb41dcdc0b44da75201e3142ce67f8768f31a6154a87d96e166e70e9 +# input_hash: 5f4a0f510041c4a1ca27b5eda8c66254434256d7f2b50c985b88c41f179a3aed channels: - conda-forge + - intel dependencies: - _libgcc_mutex=0.1=conda_forge - _openmp_mutex=4.5=2_kmp_llvm @@ -36,6 +37,7 @@ dependencies: - h5py=3.11.0=nompi_py310hf054cd7_102 - hdf5=1.14.3=nompi_hdf9ad27_105 - icu=73.2=h59595ed_0 + - intel-openmp=2023.2.4=intel_49553 - jinja2=3.1.4=pyhd8ed1ab_0 - joblib=1.4.2=pyhd8ed1ab_0 - keyutils=1.6.1=h166bdaf_0 diff --git a/environments/py-3.10-win-64-dev.conda.lock.yml b/environments/py-3.10-win-64-dev.conda.lock.yml index d90d2712..810316a7 100644 --- a/environments/py-3.10-win-64-dev.conda.lock.yml +++ b/environments/py-3.10-win-64-dev.conda.lock.yml @@ -1,9 +1,10 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: 3977f97bafef2b35b1a211441f228b5aced99a926876289f524f0a0da99925b6 +# input_hash: edb1be1c5f48d92315e508c7c19180947a05378ea859b544c7c2dd18a4d757a4 channels: - conda-forge + - intel dependencies: - accessible-pygments=0.0.5=pyhd8ed1ab_0 - alabaster=0.7.16=pyhd8ed1ab_0 diff --git a/environments/py-3.10-win-64.conda.lock.yml b/environments/py-3.10-win-64.conda.lock.yml index 4b3baa20..3aa2136f 100644 --- a/environments/py-3.10-win-64.conda.lock.yml +++ b/environments/py-3.10-win-64.conda.lock.yml @@ -1,9 +1,10 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: 3977f97bafef2b35b1a211441f228b5aced99a926876289f524f0a0da99925b6 +# input_hash: edb1be1c5f48d92315e508c7c19180947a05378ea859b544c7c2dd18a4d757a4 channels: - conda-forge + - intel dependencies: - annotated-types=0.7.0=pyhd8ed1ab_0 - asciitree=0.3.3=py_2 diff --git a/py-3.10.conda-lock.yml b/py-3.10.conda-lock.yml index be3468c7..8ffd90c0 100644 --- a/py-3.10.conda-lock.yml +++ b/py-3.10.conda-lock.yml @@ -15,11 +15,13 @@ version: 1 metadata: content_hash: - win-64: 3977f97bafef2b35b1a211441f228b5aced99a926876289f524f0a0da99925b6 - linux-64: 0412cab7eb41dcdc0b44da75201e3142ce67f8768f31a6154a87d96e166e70e9 + win-64: edb1be1c5f48d92315e508c7c19180947a05378ea859b544c7c2dd18a4d757a4 + linux-64: 5f4a0f510041c4a1ca27b5eda8c66254434256d7f2b50c985b88c41f179a3aed channels: - url: conda-forge used_env_vars: [] + - url: intel + used_env_vars: [] platforms: - win-64 - linux-64 @@ -1717,6 +1719,17 @@ package: sha256: 38740c939b668b36a50ef455b077e8015b8c9cf89860d421b3fff86048f49666 category: dev optional: true +- name: intel-openmp + version: 2023.2.4 + manager: conda + platform: linux-64 + dependencies: {} + url: https://conda.anaconda.org/intel/linux-64/intel-openmp-2023.2.4-intel_49553.tar.bz2 + hash: + md5: 44f6d9ebf802960ca0ae0cea0d9faeca + sha256: 708102b0e69f5c5e8ae9d16acb2d0cfc3f431739a484cb7450ee4fa55fb9b9fd + category: main + optional: false - name: intel-openmp version: 2023.2.0 manager: conda @@ -7615,12 +7628,17 @@ package: empymod: '>=2.0.0' geoana: '*' geoh5py: '*' + intel-openmp: 2023.2.0 matplotlib: '*' + mkl: 2023.2.0 numpy: '>=1.20' pandas: '*' + pydiso: '>=0.0.5,<0.1.0' pymatsolver: '>=0.2' scikit-learn: '>=1.2' scipy: '>=1.8.0' + tbb: 2021.12.0 + tzdata: '2023.4' url: https://github.com/MiraGeoscience/simpeg/archive/refs/heads/develop.zip hash: {} category: main @@ -7637,12 +7655,17 @@ package: empymod: '>=2.0.0' geoana: '*' geoh5py: '*' + intel-openmp: 2023.2.0 matplotlib: '*' + mkl: 2023.2.0 numpy: '>=1.20' pandas: '*' + pydiso: '>=0.0.5,<0.1.0' pymatsolver: '>=0.2' scikit-learn: '>=1.2' scipy: '>=1.8.0' + tbb: 2021.12.0 + tzdata: '2023.4' url: https://github.com/MiraGeoscience/simpeg/archive/refs/heads/develop.zip hash: {} category: main diff --git a/pyproject.toml b/pyproject.toml index 78c7eb4b..f245a37f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -69,6 +69,7 @@ pandas = "~2.2.1" # from SimPEG, also used by targeting-workflow, petro-lingo pydantic = "~2.5.2" # from geoapps-utils pydiso = "~0.0.5" # from simpeg pymatsolver = "~0.2.0" # from simpeg +intel-openmp = "^2023.2.0" scikit-learn = "~1.4.0" # from SimPEG, also used by geo-unsup-mapper, petro-lingo tqdm = "^4.66.1" # from simpeg @@ -101,7 +102,7 @@ nbconvert = "~7.16.4" [tool.conda-lock] platforms = ['win-64', 'linux-64'] -channels = ['conda-forge'] +channels = ['conda-forge', 'intel'] [tool.conda-lock.dependencies] libblas = "*=*mkl" # because simpeg already brings in the MKL From 642c643be4ee237ebb4abc7297a3d1f46719b5ed Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Mon, 1 Jul 2024 17:47:43 +0000 Subject: [PATCH 049/350] [pre-commit.ci] pre-commit autoupdate MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit updates: - [github.com/PyCQA/flake8: 7.0.0 → 7.1.0](https://github.com/PyCQA/flake8/compare/7.0.0...7.1.0) - [github.com/asottile/pyupgrade: v3.15.2 → v3.16.0](https://github.com/asottile/pyupgrade/compare/v3.15.2...v3.16.0) - [github.com/codespell-project/codespell: v2.2.6 → v2.3.0](https://github.com/codespell-project/codespell/compare/v2.2.6...v2.3.0) --- .pre-commit-config.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index c732eb4d..b4f676f0 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -26,11 +26,11 @@ repos: hooks: - id: black - repo: https://github.com/PyCQA/flake8 - rev: 7.0.0 + rev: 7.1.0 hooks: - id: flake8 - repo: https://github.com/asottile/pyupgrade - rev: v3.15.2 + rev: v3.16.0 hooks: - id: pyupgrade args: [--py310-plus] @@ -77,7 +77,7 @@ repos: entry: python devtools/git_message_hook.py --check language: python - repo: https://github.com/codespell-project/codespell - rev: v2.2.6 + rev: v2.3.0 hooks: - id: codespell exclude: (-lock\.ya?ml|\benvironments/.*\.ya?ml|\.ipynb|^THIRD_PARTY_SOFTWARE\.rst)$ From ab80b7f2201f9d297b8ba1a5ffc9030a303b0dde Mon Sep 17 00:00:00 2001 From: sebhmg Date: Thu, 4 Jul 2024 22:28:52 -0400 Subject: [PATCH 050/350] GEOPY-1617: locking on develop branches of dependencies --- .../py-3.10-linux-64-dev.conda.lock.yml | 70 +- environments/py-3.10-linux-64.conda.lock.yml | 54 +- .../py-3.10-win-64-dev.conda.lock.yml | 62 +- environments/py-3.10-win-64.conda.lock.yml | 46 +- py-3.10.conda-lock.yml | 673 +++++++++++------- pyproject.toml | 65 +- 6 files changed, 561 insertions(+), 409 deletions(-) diff --git a/environments/py-3.10-linux-64-dev.conda.lock.yml b/environments/py-3.10-linux-64-dev.conda.lock.yml index 9f481129..eb262710 100644 --- a/environments/py-3.10-linux-64-dev.conda.lock.yml +++ b/environments/py-3.10-linux-64-dev.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: 5f4a0f510041c4a1ca27b5eda8c66254434256d7f2b50c985b88c41f179a3aed +# input_hash: bc88433718cd5fba8f4c696794a8446c7376a556cd8d9f9b9225519aa4b43c66 channels: - conda-forge @@ -26,7 +26,7 @@ dependencies: - brotli-python=1.1.0=py310hc6cd4ac_1 - bzip2=1.0.8=hd590300_5 - c-ares=1.28.1=hd590300_0 - - ca-certificates=2024.6.2=hbcca054_0 + - ca-certificates=2024.7.4=hbcca054_0 - cached-property=1.5.2=hd8ed1ab_1 - cached_property=1.5.2=pyha770c72_1 - certifi=2024.6.2=pyhd8ed1ab_0 @@ -37,19 +37,19 @@ dependencies: - colorama=0.4.6=pyhd8ed1ab_0 - comm=0.2.2=pyhd8ed1ab_0 - contourpy=1.2.1=py310hd41b1e2_0 - - coverage=7.5.3=py310hc51659f_0 + - coverage=7.5.4=py310hc51659f_0 - cycler=0.12.1=pyhd8ed1ab_0 - cytoolz=0.12.3=py310h2372a71_0 - dask-core=2022.10.2=pyhd8ed1ab_0 - dataclasses=0.8=pyhc8e2a94_3 - - debugpy=1.8.1=py310hc6cd4ac_0 + - debugpy=1.8.2=py310h76e45a6_0 - decorator=5.1.1=pyhd8ed1ab_0 - defusedxml=0.7.1=pyhd8ed1ab_0 - dill=0.3.8=pyhd8ed1ab_0 - discretize=0.10.0=py310hcb52e73_1 - distributed=2022.10.2=pyhd8ed1ab_0 - docutils=0.18.1=py310hff52083_1 - - empymod=2.3.0=pyhd8ed1ab_0 + - empymod=2.3.1=pyhd8ed1ab_0 - entrypoints=0.4=pyhd8ed1ab_0 - exceptiongroup=1.2.0=pyhd8ed1ab_2 - executing=2.0.1=pyhd8ed1ab_0 @@ -59,18 +59,21 @@ dependencies: - fsspec=2022.11.0=pyhd8ed1ab_0 - geoana=0.4.0=py310hbf28c38_1 - greenlet=3.0.3=py310hc6cd4ac_0 + - h2=4.1.0=pyhd8ed1ab_0 - h5py=3.11.0=nompi_py310hf054cd7_102 - hdf5=1.14.3=nompi_hdf9ad27_105 + - hpack=4.0.0=pyh9f0ad1d_0 + - hyperframe=6.0.1=pyhd8ed1ab_0 - icu=73.2=h59595ed_0 - idna=3.7=pyhd8ed1ab_0 - imagesize=1.4.1=pyhd8ed1ab_0 - - importlib-metadata=7.2.0=pyha770c72_0 - - importlib_metadata=7.2.0=hd8ed1ab_0 + - importlib-metadata=8.0.0=pyha770c72_0 + - importlib_metadata=8.0.0=hd8ed1ab_0 - importlib_resources=6.4.0=pyhd8ed1ab_0 - iniconfig=2.0.0=pyhd8ed1ab_0 - intel-openmp=2023.2.4=intel_49553 - - ipykernel=6.29.4=pyh3099207_0 - - ipython=8.25.0=pyh707e725_0 + - ipykernel=6.29.5=pyh3099207_0 + - ipython=8.26.0=pyh707e725_0 - ipython_genutils=0.2.0=pyhd8ed1ab_1 - ipywidgets=7.8.0=pyhd8ed1ab_0 - isort=5.13.2=pyhd8ed1ab_0 @@ -89,7 +92,7 @@ dependencies: - jupytext=1.16.2=pyhd8ed1ab_1 - keyutils=1.6.1=h166bdaf_0 - kiwisolver=1.4.5=py310hd41b1e2_1 - - krb5=1.21.2=h659d440_0 + - krb5=1.21.3=h659f571_0 - latexcodec=2.0.1=pyh9f0ad1d_0 - lcms2=2.16=hb7c19ff_0 - ld_impl_linux-64=2.40=hf3520f5_7 @@ -100,16 +103,16 @@ dependencies: - libbrotlidec=1.1.0=hd590300_1 - libbrotlienc=1.1.0=hd590300_1 - libcblas=3.9.0=20_linux64_mkl - - libcurl=8.8.0=hca28451_0 + - libcurl=8.8.0=hca28451_1 - libdeflate=1.20=hd590300_0 - libdlf=0.2.0=pyhd8ed1ab_0 - libedit=3.1.20191231=he28a2e2_2 - libev=4.33=hd590300_2 - libffi=3.4.2=h7f98852_5 - - libgcc-ng=13.2.0=h77fa898_11 - - libgfortran-ng=13.2.0=h69a702a_11 - - libgfortran5=13.2.0=h3d2ce59_11 - - libhwloc=2.10.0=default_h5622ce7_1001 + - libgcc-ng=14.1.0=h77fa898_0 + - libgfortran-ng=14.1.0=h69a702a_0 + - libgfortran5=14.1.0=hc5f4f2c_0 + - libhwloc=2.11.0=default_h5622ce7_1000 - libiconv=1.17=hd590300_2 - libjpeg-turbo=3.0.0=hd590300_1 - liblapack=3.9.0=20_linux64_mkl @@ -120,7 +123,7 @@ dependencies: - libsodium=1.0.18=h36c2ea0_1 - libsqlite=3.46.0=hde9e2c9_0 - libssh2=1.11.0=h0841786_0 - - libstdcxx-ng=13.2.0=hc0a3c3a_11 + - libstdcxx-ng=14.1.0=hc0a3c3a_0 - libtiff=4.6.0=h1dd3fc0_3 - libuuid=2.38.1=h0b41bf4_0 - libwebp-base=1.4.0=hd590300_0 @@ -157,12 +160,12 @@ dependencies: - notebook-shim=0.2.4=pyhd8ed1ab_0 - numba=0.60.0=py310h5dc88bb_0 - numcodecs=0.12.1=py310h76e45a6_1 - - numpy=1.23.5=py310h53a5b5f_0 + - numpy=1.26.4=py310hb13e2d6_0 - openjpeg=2.5.2=h488ebb8_0 - - openssl=3.3.1=h4ab18f5_0 + - openssl=3.3.1=h4ab18f5_1 - packaging=24.1=pyhd8ed1ab_0 - pandas=2.2.2=py310hf9f9076_1 - - pandoc=3.2=ha770c72_0 + - pandoc=3.2.1=ha770c72_0 - pandocfilters=1.5.0=pyhd8ed1ab_0 - parso=0.8.4=pyhd8ed1ab_0 - partd=1.4.2=pyhd8ed1ab_0 @@ -175,19 +178,19 @@ dependencies: - pluggy=1.5.0=pyhd8ed1ab_0 - prometheus_client=0.20.0=pyhd8ed1ab_0 - prompt-toolkit=3.0.47=pyha770c72_0 - - psutil=5.9.8=py310h2372a71_0 + - psutil=6.0.0=py310hc51659f_0 - pthread-stubs=0.4=h36c2ea0_1001 - ptyprocess=0.7.0=pyhd3deb0d_0 - pure_eval=0.2.2=pyhd8ed1ab_0 - pybtex=0.24.0=pyhd8ed1ab_2 - pybtex-docutils=1.0.3=py310hff52083_1 - pycparser=2.22=pyhd8ed1ab_0 - - pydantic=2.5.3=pyhd8ed1ab_0 - - pydantic-core=2.14.6=py310hcb5633a_1 - - pydata-sphinx-theme=0.15.3=pyhd8ed1ab_0 + - pydantic=2.8.0=pyhd8ed1ab_0 + - pydantic-core=2.20.0=py310he421c4c_0 + - pydata-sphinx-theme=0.15.4=pyhd8ed1ab_0 - pydiso=0.0.5=py310h4fb8009_1 - pygments=2.18.0=pyhd8ed1ab_0 - - pylint=3.2.3=pyhd8ed1ab_0 + - pylint=3.2.5=pyhd8ed1ab_0 - pymatsolver=0.2.0=ha770c72_3 - pymatsolver-base=0.2.0=pyh44b312d_3 - pyparsing=3.1.2=pyhd8ed1ab_0 @@ -208,10 +211,10 @@ dependencies: - requests=2.32.3=pyhd8ed1ab_0 - rpds-py=0.18.1=py310he421c4c_0 - scikit-learn=1.4.2=py310h981052a_1 - - scipy=1.13.1=py310h93e2701_0 + - scipy=1.14.0=py310h93e2701_0 - scooby=0.10.0=pyhd8ed1ab_0 - send2trash=1.8.3=pyh0d859eb_0 - - setuptools=70.1.0=pyhd8ed1ab_0 + - setuptools=70.1.1=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 - sniffio=1.3.1=pyhd8ed1ab_0 - snowballstemmer=2.2.0=pyhd8ed1ab_0 @@ -237,7 +240,7 @@ dependencies: - sqlalchemy=2.0.31=py310hc51659f_0 - stack_data=0.6.2=pyhd8ed1ab_0 - tabulate=0.9.0=pyhd8ed1ab_1 - - tbb=2021.12.0=h297d8ca_1 + - tbb=2021.12.0=h434a139_2 - tblib=3.0.0=pyhd8ed1ab_0 - terminado=0.18.1=pyh0d859eb_0 - threadpoolctl=3.5.0=pyhc1e730c_0 @@ -255,7 +258,7 @@ dependencies: - tzdata=2024a=h0c530f3_0 - uc-micro-py=1.0.3=pyhd8ed1ab_0 - unicodedata2=15.1.0=py310h2372a71_0 - - urllib3=2.2.2=pyhd8ed1ab_0 + - urllib3=2.2.2=pyhd8ed1ab_1 - utm=0.7.0=pyhd8ed1ab_0 - wcwidth=0.2.13=pyhd8ed1ab_0 - webencodings=0.5.1=pyhd8ed1ab_2 @@ -270,13 +273,14 @@ dependencies: - zeromq=4.3.5=h75354e8_4 - zict=3.0.0=pyhd8ed1ab_0 - zipp=3.19.2=pyhd8ed1ab_0 + - zstandard=0.22.0=py310hab88d88_1 - zstd=1.5.6=ha6fb4c9_0 - pip: - - geoapps-utils @ https://github.com/MiraGeoscience/geoapps-utils/archive/refs/heads/develop.zip - - geoh5py @ https://github.com/MiraGeoscience/geoh5py/archive/refs/heads/develop.zip - - mira-simpeg @ https://github.com/MiraGeoscience/simpeg/archive/refs/heads/develop.zip - - octree-creation-app @ https://github.com/MiraGeoscience/octree-creation-app/archive/refs/heads/develop.zip - - param-sweeps @ https://github.com/MiraGeoscience/param-sweeps/archive/refs/heads/develop.zip + - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@18b1565d825cfac35a91cac081a7791a6d62a846 + - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@21ce81d279c206ce0a279377168ce50e0a35d3d2 + - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg@b4da9954e68c996a88c243c0cf49426fc2605d1e + - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@015211d1f189072f3c8abe3b19ade42dee72e022 + - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps@caf4da2f3af80075b484e06e0968a6c8502a3bd9 variables: KMP_WARNINGS: 0 diff --git a/environments/py-3.10-linux-64.conda.lock.yml b/environments/py-3.10-linux-64.conda.lock.yml index 04d8fda0..25fc0a5f 100644 --- a/environments/py-3.10-linux-64.conda.lock.yml +++ b/environments/py-3.10-linux-64.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: 5f4a0f510041c4a1ca27b5eda8c66254434256d7f2b50c985b88c41f179a3aed +# input_hash: bc88433718cd5fba8f4c696794a8446c7376a556cd8d9f9b9225519aa4b43c66 channels: - conda-forge @@ -15,10 +15,11 @@ dependencies: - brotli-python=1.1.0=py310hc6cd4ac_1 - bzip2=1.0.8=hd590300_5 - c-ares=1.28.1=hd590300_0 - - ca-certificates=2024.6.2=hbcca054_0 + - ca-certificates=2024.7.4=hbcca054_0 - cached-property=1.5.2=hd8ed1ab_1 - cached_property=1.5.2=pyha770c72_1 - certifi=2024.6.2=pyhd8ed1ab_0 + - cffi=1.16.0=py310h2fee648_0 - click=8.1.7=unix_pyh707e725_0 - cloudpickle=3.0.0=pyhd8ed1ab_0 - colorama=0.4.6=pyhd8ed1ab_0 @@ -28,21 +29,24 @@ dependencies: - dask-core=2022.10.2=pyhd8ed1ab_0 - discretize=0.10.0=py310hcb52e73_1 - distributed=2022.10.2=pyhd8ed1ab_0 - - empymod=2.3.0=pyhd8ed1ab_0 + - empymod=2.3.1=pyhd8ed1ab_0 - fasteners=0.17.3=pyhd8ed1ab_0 - fonttools=4.53.0=py310hc51659f_0 - freetype=2.12.1=h267a509_2 - fsspec=2022.11.0=pyhd8ed1ab_0 - geoana=0.4.0=py310hbf28c38_1 + - h2=4.1.0=pyhd8ed1ab_0 - h5py=3.11.0=nompi_py310hf054cd7_102 - hdf5=1.14.3=nompi_hdf9ad27_105 + - hpack=4.0.0=pyh9f0ad1d_0 + - hyperframe=6.0.1=pyhd8ed1ab_0 - icu=73.2=h59595ed_0 - intel-openmp=2023.2.4=intel_49553 - jinja2=3.1.4=pyhd8ed1ab_0 - joblib=1.4.2=pyhd8ed1ab_0 - keyutils=1.6.1=h166bdaf_0 - kiwisolver=1.4.5=py310hd41b1e2_1 - - krb5=1.21.2=h659d440_0 + - krb5=1.21.3=h659f571_0 - lcms2=2.16=hb7c19ff_0 - ld_impl_linux-64=2.40=hf3520f5_7 - lerc=4.0.0=h27087fc_0 @@ -52,16 +56,16 @@ dependencies: - libbrotlidec=1.1.0=hd590300_1 - libbrotlienc=1.1.0=hd590300_1 - libcblas=3.9.0=20_linux64_mkl - - libcurl=8.8.0=hca28451_0 + - libcurl=8.8.0=hca28451_1 - libdeflate=1.20=hd590300_0 - libdlf=0.2.0=pyhd8ed1ab_0 - libedit=3.1.20191231=he28a2e2_2 - libev=4.33=hd590300_2 - libffi=3.4.2=h7f98852_5 - - libgcc-ng=13.2.0=h77fa898_11 - - libgfortran-ng=13.2.0=h69a702a_11 - - libgfortran5=13.2.0=h3d2ce59_11 - - libhwloc=2.10.0=default_h5622ce7_1001 + - libgcc-ng=14.1.0=h77fa898_0 + - libgfortran-ng=14.1.0=h69a702a_0 + - libgfortran5=14.1.0=hc5f4f2c_0 + - libhwloc=2.11.0=default_h5622ce7_1000 - libiconv=1.17=hd590300_2 - libjpeg-turbo=3.0.0=hd590300_1 - liblapack=3.9.0=20_linux64_mkl @@ -71,7 +75,7 @@ dependencies: - libpng=1.6.43=h2797004_0 - libsqlite=3.46.0=hde9e2c9_0 - libssh2=1.11.0=h0841786_0 - - libstdcxx-ng=13.2.0=hc0a3c3a_11 + - libstdcxx-ng=14.1.0=hc0a3c3a_0 - libtiff=4.6.0=h1dd3fc0_3 - libuuid=2.38.1=h0b41bf4_0 - libwebp-base=1.4.0=hd590300_0 @@ -90,18 +94,19 @@ dependencies: - ncurses=6.5=h59595ed_0 - numba=0.60.0=py310h5dc88bb_0 - numcodecs=0.12.1=py310h76e45a6_1 - - numpy=1.23.5=py310h53a5b5f_0 + - numpy=1.26.4=py310hb13e2d6_0 - openjpeg=2.5.2=h488ebb8_0 - - openssl=3.3.1=h4ab18f5_0 + - openssl=3.3.1=h4ab18f5_1 - packaging=24.1=pyhd8ed1ab_0 - pandas=2.2.2=py310hf9f9076_1 - partd=1.4.2=pyhd8ed1ab_0 - pillow=10.3.0=py310hebfe307_1 - pip=24.0=pyhd8ed1ab_0 - - psutil=5.9.8=py310h2372a71_0 + - psutil=6.0.0=py310hc51659f_0 - pthread-stubs=0.4=h36c2ea0_1001 - - pydantic=2.5.3=pyhd8ed1ab_0 - - pydantic-core=2.14.6=py310hcb5633a_1 + - pycparser=2.22=pyhd8ed1ab_0 + - pydantic=2.8.0=pyhd8ed1ab_0 + - pydantic-core=2.20.0=py310he421c4c_0 - pydiso=0.0.5=py310h4fb8009_1 - pymatsolver=0.2.0=ha770c72_3 - pymatsolver-base=0.2.0=pyh44b312d_3 @@ -115,12 +120,12 @@ dependencies: - pyyaml=6.0.1=py310h2372a71_1 - readline=8.2=h8228510_1 - scikit-learn=1.4.2=py310h981052a_1 - - scipy=1.13.1=py310h93e2701_0 + - scipy=1.14.0=py310h93e2701_0 - scooby=0.10.0=pyhd8ed1ab_0 - - setuptools=70.1.0=pyhd8ed1ab_0 + - setuptools=70.1.1=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 - sortedcontainers=2.4.0=pyhd8ed1ab_0 - - tbb=2021.12.0=h297d8ca_1 + - tbb=2021.12.0=h434a139_2 - tblib=3.0.0=pyhd8ed1ab_0 - threadpoolctl=3.5.0=pyhc1e730c_0 - tk=8.6.13=noxft_h4845f30_101 @@ -131,7 +136,7 @@ dependencies: - typing_extensions=4.12.2=pyha770c72_0 - tzdata=2024a=h0c530f3_0 - unicodedata2=15.1.0=py310h2372a71_0 - - urllib3=2.2.2=pyhd8ed1ab_0 + - urllib3=2.2.2=pyhd8ed1ab_1 - utm=0.7.0=pyhd8ed1ab_0 - wheel=0.43.0=pyhd8ed1ab_1 - xorg-libxau=1.0.11=hd590300_0 @@ -140,13 +145,14 @@ dependencies: - yaml=0.2.5=h7f98852_2 - zarr=2.14.2=pyhd8ed1ab_0 - zict=3.0.0=pyhd8ed1ab_0 + - zstandard=0.22.0=py310hab88d88_1 - zstd=1.5.6=ha6fb4c9_0 - pip: - - geoapps-utils @ https://github.com/MiraGeoscience/geoapps-utils/archive/refs/heads/develop.zip - - geoh5py @ https://github.com/MiraGeoscience/geoh5py/archive/refs/heads/develop.zip - - mira-simpeg @ https://github.com/MiraGeoscience/simpeg/archive/refs/heads/develop.zip - - octree-creation-app @ https://github.com/MiraGeoscience/octree-creation-app/archive/refs/heads/develop.zip - - param-sweeps @ https://github.com/MiraGeoscience/param-sweeps/archive/refs/heads/develop.zip + - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@18b1565d825cfac35a91cac081a7791a6d62a846 + - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@21ce81d279c206ce0a279377168ce50e0a35d3d2 + - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg@b4da9954e68c996a88c243c0cf49426fc2605d1e + - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@015211d1f189072f3c8abe3b19ade42dee72e022 + - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps@caf4da2f3af80075b484e06e0968a6c8502a3bd9 variables: KMP_WARNINGS: 0 diff --git a/environments/py-3.10-win-64-dev.conda.lock.yml b/environments/py-3.10-win-64-dev.conda.lock.yml index 810316a7..266f9363 100644 --- a/environments/py-3.10-win-64-dev.conda.lock.yml +++ b/environments/py-3.10-win-64-dev.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: edb1be1c5f48d92315e508c7c19180947a05378ea859b544c7c2dd18a4d757a4 +# input_hash: 35998b3add3c6ba4181f304fc2d8c929ca1fd4ccb395d1339949a0407ecee7fc channels: - conda-forge @@ -23,7 +23,7 @@ dependencies: - brotli-bin=1.1.0=hcfcfb64_1 - brotli-python=1.1.0=py310h00ffb61_1 - bzip2=1.0.8=hcfcfb64_5 - - ca-certificates=2024.6.2=h56e8100_0 + - ca-certificates=2024.7.4=h56e8100_0 - cached-property=1.5.2=hd8ed1ab_1 - cached_property=1.5.2=pyha770c72_1 - certifi=2024.6.2=pyhd8ed1ab_0 @@ -34,19 +34,19 @@ dependencies: - colorama=0.4.6=pyhd8ed1ab_0 - comm=0.2.2=pyhd8ed1ab_0 - contourpy=1.2.1=py310h232114e_0 - - coverage=7.5.3=py310ha8f682b_0 + - coverage=7.5.4=py310ha8f682b_0 - cycler=0.12.1=pyhd8ed1ab_0 - cytoolz=0.12.3=py310h8d17308_0 - dask-core=2022.10.2=pyhd8ed1ab_0 - dataclasses=0.8=pyhc8e2a94_3 - - debugpy=1.8.1=py310h00ffb61_0 + - debugpy=1.8.2=py310h9e98ed7_0 - decorator=5.1.1=pyhd8ed1ab_0 - defusedxml=0.7.1=pyhd8ed1ab_0 - dill=0.3.8=pyhd8ed1ab_0 - discretize=0.10.0=py310h4856b71_1 - distributed=2022.10.2=pyhd8ed1ab_0 - docutils=0.18.1=py310h5588dad_1 - - empymod=2.3.0=pyhd8ed1ab_0 + - empymod=2.3.1=pyhd8ed1ab_0 - entrypoints=0.4=pyhd8ed1ab_0 - exceptiongroup=1.2.0=pyhd8ed1ab_2 - executing=2.0.1=pyhd8ed1ab_0 @@ -56,17 +56,20 @@ dependencies: - fsspec=2022.11.0=pyhd8ed1ab_0 - geoana=0.4.0=py310h232114e_1 - greenlet=3.0.3=py310h00ffb61_0 + - h2=4.1.0=pyhd8ed1ab_0 - h5py=3.11.0=nompi_py310h2b0be38_102 - hdf5=1.14.3=nompi_h2b43c12_105 + - hpack=4.0.0=pyh9f0ad1d_0 + - hyperframe=6.0.1=pyhd8ed1ab_0 - idna=3.7=pyhd8ed1ab_0 - imagesize=1.4.1=pyhd8ed1ab_0 - - importlib-metadata=7.2.0=pyha770c72_0 - - importlib_metadata=7.2.0=hd8ed1ab_0 + - importlib-metadata=8.0.0=pyha770c72_0 + - importlib_metadata=8.0.0=hd8ed1ab_0 - importlib_resources=6.4.0=pyhd8ed1ab_0 - iniconfig=2.0.0=pyhd8ed1ab_0 - intel-openmp=2023.2.0=h57928b3_50497 - - ipykernel=6.29.4=pyh4bbf305_0 - - ipython=8.25.0=pyh7428d3b_0 + - ipykernel=6.29.5=pyh4bbf305_0 + - ipython=8.26.0=pyh7428d3b_0 - ipython_genutils=0.2.0=pyhd8ed1ab_1 - ipywidgets=7.8.0=pyhd8ed1ab_0 - isort=5.13.2=pyhd8ed1ab_0 @@ -84,7 +87,7 @@ dependencies: - jupyterlab_widgets=1.1.7=pyhd8ed1ab_0 - jupytext=1.16.2=pyhd8ed1ab_1 - kiwisolver=1.4.5=py310h232114e_1 - - krb5=1.21.2=heb0366b_0 + - krb5=1.21.3=hdf4eb48_0 - latexcodec=2.0.1=pyh9f0ad1d_0 - lcms2=2.16=h67d730c_0 - lerc=4.0.0=h63175ca_0 @@ -94,11 +97,11 @@ dependencies: - libbrotlidec=1.1.0=hcfcfb64_1 - libbrotlienc=1.1.0=hcfcfb64_1 - libcblas=3.9.0=20_win64_mkl - - libcurl=8.8.0=hd5e4a3a_0 + - libcurl=8.8.0=hd5e4a3a_1 - libdeflate=1.20=hcfcfb64_0 - libdlf=0.2.0=pyhd8ed1ab_0 - libffi=3.4.2=h8ffe710_5 - - libhwloc=2.10.0=default_h8125262_1001 + - libhwloc=2.11.0=default_h8125262_1000 - libiconv=1.17=hcfcfb64_2 - libjpeg-turbo=3.0.0=hcfcfb64_1 - liblapack=3.9.0=20_win64_mkl @@ -144,12 +147,12 @@ dependencies: - notebook-shim=0.2.4=pyhd8ed1ab_0 - numba=0.60.0=py310h7793332_0 - numcodecs=0.12.1=py310h9e98ed7_1 - - numpy=1.23.5=py310h4a8f9c9_0 + - numpy=1.26.4=py310hf667824_0 - openjpeg=2.5.2=h3d672ee_0 - - openssl=3.3.1=h2466b09_0 + - openssl=3.3.1=h2466b09_1 - packaging=24.1=pyhd8ed1ab_0 - pandas=2.2.2=py310hb4db72f_1 - - pandoc=3.2=h57928b3_0 + - pandoc=3.2.1=h57928b3_0 - pandocfilters=1.5.0=pyhd8ed1ab_0 - parso=0.8.4=pyhd8ed1ab_0 - partd=1.4.2=pyhd8ed1ab_0 @@ -161,19 +164,19 @@ dependencies: - pluggy=1.5.0=pyhd8ed1ab_0 - prometheus_client=0.20.0=pyhd8ed1ab_0 - prompt-toolkit=3.0.47=pyha770c72_0 - - psutil=5.9.8=py310h8d17308_0 + - psutil=6.0.0=py310ha8f682b_0 - pthread-stubs=0.4=hcd874cb_1001 - pthreads-win32=2.9.1=hfa6e2cd_3 - pure_eval=0.2.2=pyhd8ed1ab_0 - pybtex=0.24.0=pyhd8ed1ab_2 - pybtex-docutils=1.0.3=py310h5588dad_1 - pycparser=2.22=pyhd8ed1ab_0 - - pydantic=2.5.3=pyhd8ed1ab_0 - - pydantic-core=2.14.6=py310h87d50f1_1 - - pydata-sphinx-theme=0.15.3=pyhd8ed1ab_0 + - pydantic=2.8.0=pyhd8ed1ab_0 + - pydantic-core=2.20.0=py310hc226416_0 + - pydata-sphinx-theme=0.15.4=pyhd8ed1ab_0 - pydiso=0.0.5=py310hafb2880_1 - pygments=2.18.0=pyhd8ed1ab_0 - - pylint=3.2.3=pyhd8ed1ab_0 + - pylint=3.2.5=pyhd8ed1ab_0 - pymatsolver=0.2.0=ha770c72_3 - pymatsolver-base=0.2.0=pyh44b312d_3 - pyparsing=3.1.2=pyhd8ed1ab_0 @@ -195,10 +198,10 @@ dependencies: - requests=2.32.3=pyhd8ed1ab_0 - rpds-py=0.18.1=py310hc226416_0 - scikit-learn=1.4.2=py310hf2a6c47_1 - - scipy=1.13.1=py310h46043a1_0 + - scipy=1.14.0=py310h46043a1_0 - scooby=0.10.0=pyhd8ed1ab_0 - send2trash=1.8.3=pyh5737063_0 - - setuptools=70.1.0=pyhd8ed1ab_0 + - setuptools=70.1.1=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 - sniffio=1.3.1=pyhd8ed1ab_0 - snowballstemmer=2.2.0=pyhd8ed1ab_0 @@ -224,7 +227,7 @@ dependencies: - sqlalchemy=2.0.31=py310ha8f682b_0 - stack_data=0.6.2=pyhd8ed1ab_0 - tabulate=0.9.0=pyhd8ed1ab_1 - - tbb=2021.12.0=hc790b64_1 + - tbb=2021.12.0=hc790b64_2 - tblib=3.0.0=pyhd8ed1ab_0 - terminado=0.18.1=pyh5737063_0 - threadpoolctl=3.5.0=pyhc1e730c_0 @@ -243,7 +246,7 @@ dependencies: - uc-micro-py=1.0.3=pyhd8ed1ab_0 - ucrt=10.0.22621.0=h57928b3_0 - unicodedata2=15.1.0=py310h8d17308_0 - - urllib3=2.2.2=pyhd8ed1ab_0 + - urllib3=2.2.2=pyhd8ed1ab_1 - utm=0.7.0=pyhd8ed1ab_0 - vc=14.3=h8a93ad2_20 - vc14_runtime=14.40.33810=ha82c5b3_20 @@ -263,13 +266,14 @@ dependencies: - zeromq=4.3.5=he1f189c_4 - zict=3.0.0=pyhd8ed1ab_0 - zipp=3.19.2=pyhd8ed1ab_0 + - zstandard=0.22.0=py310he5e10e1_1 - zstd=1.5.6=h0ea2cb4_0 - pip: - - geoapps-utils @ https://github.com/MiraGeoscience/geoapps-utils/archive/refs/heads/develop.zip - - geoh5py @ https://github.com/MiraGeoscience/geoh5py/archive/refs/heads/develop.zip - - mira-simpeg @ https://github.com/MiraGeoscience/simpeg/archive/refs/heads/develop.zip - - octree-creation-app @ https://github.com/MiraGeoscience/octree-creation-app/archive/refs/heads/develop.zip - - param-sweeps @ https://github.com/MiraGeoscience/param-sweeps/archive/refs/heads/develop.zip + - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@18b1565d825cfac35a91cac081a7791a6d62a846 + - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@21ce81d279c206ce0a279377168ce50e0a35d3d2 + - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg@b4da9954e68c996a88c243c0cf49426fc2605d1e + - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@015211d1f189072f3c8abe3b19ade42dee72e022 + - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps@caf4da2f3af80075b484e06e0968a6c8502a3bd9 variables: KMP_WARNINGS: 0 diff --git a/environments/py-3.10-win-64.conda.lock.yml b/environments/py-3.10-win-64.conda.lock.yml index 3aa2136f..3d8fcbc4 100644 --- a/environments/py-3.10-win-64.conda.lock.yml +++ b/environments/py-3.10-win-64.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: edb1be1c5f48d92315e508c7c19180947a05378ea859b544c7c2dd18a4d757a4 +# input_hash: 35998b3add3c6ba4181f304fc2d8c929ca1fd4ccb395d1339949a0407ecee7fc channels: - conda-forge @@ -12,10 +12,11 @@ dependencies: - brotli-bin=1.1.0=hcfcfb64_1 - brotli-python=1.1.0=py310h00ffb61_1 - bzip2=1.0.8=hcfcfb64_5 - - ca-certificates=2024.6.2=h56e8100_0 + - ca-certificates=2024.7.4=h56e8100_0 - cached-property=1.5.2=hd8ed1ab_1 - cached_property=1.5.2=pyha770c72_1 - certifi=2024.6.2=pyhd8ed1ab_0 + - cffi=1.16.0=py310h8d17308_0 - click=8.1.7=win_pyh7428d3b_0 - cloudpickle=3.0.0=pyhd8ed1ab_0 - colorama=0.4.6=pyhd8ed1ab_0 @@ -25,19 +26,22 @@ dependencies: - dask-core=2022.10.2=pyhd8ed1ab_0 - discretize=0.10.0=py310h4856b71_1 - distributed=2022.10.2=pyhd8ed1ab_0 - - empymod=2.3.0=pyhd8ed1ab_0 + - empymod=2.3.1=pyhd8ed1ab_0 - fasteners=0.17.3=pyhd8ed1ab_0 - fonttools=4.53.0=py310ha8f682b_0 - freetype=2.12.1=hdaf720e_2 - fsspec=2022.11.0=pyhd8ed1ab_0 - geoana=0.4.0=py310h232114e_1 + - h2=4.1.0=pyhd8ed1ab_0 - h5py=3.11.0=nompi_py310h2b0be38_102 - hdf5=1.14.3=nompi_h2b43c12_105 + - hpack=4.0.0=pyh9f0ad1d_0 + - hyperframe=6.0.1=pyhd8ed1ab_0 - intel-openmp=2023.2.0=h57928b3_50497 - jinja2=3.1.4=pyhd8ed1ab_0 - joblib=1.4.2=pyhd8ed1ab_0 - kiwisolver=1.4.5=py310h232114e_1 - - krb5=1.21.2=heb0366b_0 + - krb5=1.21.3=hdf4eb48_0 - lcms2=2.16=h67d730c_0 - lerc=4.0.0=h63175ca_0 - libaec=1.1.3=h63175ca_0 @@ -46,11 +50,11 @@ dependencies: - libbrotlidec=1.1.0=hcfcfb64_1 - libbrotlienc=1.1.0=hcfcfb64_1 - libcblas=3.9.0=20_win64_mkl - - libcurl=8.8.0=hd5e4a3a_0 + - libcurl=8.8.0=hd5e4a3a_1 - libdeflate=1.20=hcfcfb64_0 - libdlf=0.2.0=pyhd8ed1ab_0 - libffi=3.4.2=h8ffe710_5 - - libhwloc=2.10.0=default_h8125262_1001 + - libhwloc=2.11.0=default_h8125262_1000 - libiconv=1.17=hcfcfb64_2 - libjpeg-turbo=3.0.0=hcfcfb64_1 - liblapack=3.9.0=20_win64_mkl @@ -77,19 +81,20 @@ dependencies: - munkres=1.1.4=pyh9f0ad1d_0 - numba=0.60.0=py310h7793332_0 - numcodecs=0.12.1=py310h9e98ed7_1 - - numpy=1.23.5=py310h4a8f9c9_0 + - numpy=1.26.4=py310hf667824_0 - openjpeg=2.5.2=h3d672ee_0 - - openssl=3.3.1=h2466b09_0 + - openssl=3.3.1=h2466b09_1 - packaging=24.1=pyhd8ed1ab_0 - pandas=2.2.2=py310hb4db72f_1 - partd=1.4.2=pyhd8ed1ab_0 - pillow=10.3.0=py310h3e38d90_1 - pip=24.0=pyhd8ed1ab_0 - - psutil=5.9.8=py310h8d17308_0 + - psutil=6.0.0=py310ha8f682b_0 - pthread-stubs=0.4=hcd874cb_1001 - pthreads-win32=2.9.1=hfa6e2cd_3 - - pydantic=2.5.3=pyhd8ed1ab_0 - - pydantic-core=2.14.6=py310h87d50f1_1 + - pycparser=2.22=pyhd8ed1ab_0 + - pydantic=2.8.0=pyhd8ed1ab_0 + - pydantic-core=2.20.0=py310hc226416_0 - pydiso=0.0.5=py310hafb2880_1 - pymatsolver=0.2.0=ha770c72_3 - pymatsolver-base=0.2.0=pyh44b312d_3 @@ -102,12 +107,12 @@ dependencies: - pytz=2024.1=pyhd8ed1ab_0 - pyyaml=6.0.1=py310h8d17308_1 - scikit-learn=1.4.2=py310hf2a6c47_1 - - scipy=1.13.1=py310h46043a1_0 + - scipy=1.14.0=py310h46043a1_0 - scooby=0.10.0=pyhd8ed1ab_0 - - setuptools=70.1.0=pyhd8ed1ab_0 + - setuptools=70.1.1=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 - sortedcontainers=2.4.0=pyhd8ed1ab_0 - - tbb=2021.12.0=hc790b64_1 + - tbb=2021.12.0=hc790b64_2 - tblib=3.0.0=pyhd8ed1ab_0 - threadpoolctl=3.5.0=pyhc1e730c_0 - tk=8.6.13=h5226925_1 @@ -119,7 +124,7 @@ dependencies: - tzdata=2024a=h0c530f3_0 - ucrt=10.0.22621.0=h57928b3_0 - unicodedata2=15.1.0=py310h8d17308_0 - - urllib3=2.2.2=pyhd8ed1ab_0 + - urllib3=2.2.2=pyhd8ed1ab_1 - utm=0.7.0=pyhd8ed1ab_0 - vc=14.3=h8a93ad2_20 - vc14_runtime=14.40.33810=ha82c5b3_20 @@ -132,13 +137,14 @@ dependencies: - yaml=0.2.5=h8ffe710_2 - zarr=2.14.2=pyhd8ed1ab_0 - zict=3.0.0=pyhd8ed1ab_0 + - zstandard=0.22.0=py310he5e10e1_1 - zstd=1.5.6=h0ea2cb4_0 - pip: - - geoapps-utils @ https://github.com/MiraGeoscience/geoapps-utils/archive/refs/heads/develop.zip - - geoh5py @ https://github.com/MiraGeoscience/geoh5py/archive/refs/heads/develop.zip - - mira-simpeg @ https://github.com/MiraGeoscience/simpeg/archive/refs/heads/develop.zip - - octree-creation-app @ https://github.com/MiraGeoscience/octree-creation-app/archive/refs/heads/develop.zip - - param-sweeps @ https://github.com/MiraGeoscience/param-sweeps/archive/refs/heads/develop.zip + - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@18b1565d825cfac35a91cac081a7791a6d62a846 + - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@21ce81d279c206ce0a279377168ce50e0a35d3d2 + - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg@b4da9954e68c996a88c243c0cf49426fc2605d1e + - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@015211d1f189072f3c8abe3b19ade42dee72e022 + - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps@caf4da2f3af80075b484e06e0968a6c8502a3bd9 variables: KMP_WARNINGS: 0 diff --git a/py-3.10.conda-lock.yml b/py-3.10.conda-lock.yml index 8ffd90c0..2bba9dbd 100644 --- a/py-3.10.conda-lock.yml +++ b/py-3.10.conda-lock.yml @@ -15,8 +15,8 @@ version: 1 metadata: content_hash: - 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name: octree-creation-app version: 0.2.0a1 @@ -7683,15 +7806,16 @@ package: geoapps-utils: 0.4.0a1 geoh5py: 0.10.0a1 h5py: '>=3.2.1,<4.0.0' - numpy: '>=1.23.5,<1.24.0' - pydantic: '>=2.5.2,<2.6.0' - scipy: '>=1.13,<1.14' - url: https://github.com/MiraGeoscience/octree-creation-app/archive/refs/heads/develop.zip - hash: {} + numpy: '>=1.26.0,<1.27.0' + pydantic: '>=2.5.2,<3.0.0' + scipy: '>=1.14.0,<1.15.0' + url: git+https://github.com/MiraGeoscience/octree-creation-app@015211d1f189072f3c8abe3b19ade42dee72e022 + hash: + sha256: 015211d1f189072f3c8abe3b19ade42dee72e022 category: main source: type: url - url: https://github.com/MiraGeoscience/octree-creation-app/archive/refs/heads/develop.zip + url: git+https://github.com/MiraGeoscience/octree-creation-app@015211d1f189072f3c8abe3b19ade42dee72e022 optional: false - name: octree-creation-app version: 0.2.0a1 @@ -7703,41 +7827,44 @@ package: geoapps-utils: 0.4.0a1 geoh5py: 0.10.0a1 h5py: '>=3.2.1,<4.0.0' - numpy: '>=1.23.5,<1.24.0' - pydantic: '>=2.5.2,<2.6.0' - scipy: '>=1.13,<1.14' - url: https://github.com/MiraGeoscience/octree-creation-app/archive/refs/heads/develop.zip - hash: {} + numpy: '>=1.26.0,<1.27.0' + pydantic: '>=2.5.2,<3.0.0' + scipy: '>=1.14.0,<1.15.0' + url: git+https://github.com/MiraGeoscience/octree-creation-app@015211d1f189072f3c8abe3b19ade42dee72e022 + hash: + sha256: 015211d1f189072f3c8abe3b19ade42dee72e022 category: main source: type: url - url: https://github.com/MiraGeoscience/octree-creation-app/archive/refs/heads/develop.zip + url: git+https://github.com/MiraGeoscience/octree-creation-app@015211d1f189072f3c8abe3b19ade42dee72e022 optional: false - name: param-sweeps - version: 0.1.8 + version: 0.1.8a1 manager: pip platform: linux-64 dependencies: - geoh5py: 0.10.0a1 - numpy: '>=1.23.5,<1.24.0' - url: https://github.com/MiraGeoscience/param-sweeps/archive/refs/heads/develop.zip - hash: {} + geoh5py: '>=0.9.1,<0.11' + numpy: '>=1.26.0,<1.27.0' + url: git+https://github.com/MiraGeoscience/param-sweeps@caf4da2f3af80075b484e06e0968a6c8502a3bd9 + hash: + sha256: caf4da2f3af80075b484e06e0968a6c8502a3bd9 category: main source: type: url - url: https://github.com/MiraGeoscience/param-sweeps/archive/refs/heads/develop.zip + url: git+https://github.com/MiraGeoscience/param-sweeps@caf4da2f3af80075b484e06e0968a6c8502a3bd9 optional: false - name: param-sweeps - version: 0.1.8 + version: 0.1.8a1 manager: pip platform: win-64 dependencies: - geoh5py: 0.10.0a1 - numpy: '>=1.23.5,<1.24.0' - url: https://github.com/MiraGeoscience/param-sweeps/archive/refs/heads/develop.zip - hash: {} + geoh5py: '>=0.9.1,<0.11' + numpy: '>=1.26.0,<1.27.0' + url: git+https://github.com/MiraGeoscience/param-sweeps@caf4da2f3af80075b484e06e0968a6c8502a3bd9 + hash: + sha256: caf4da2f3af80075b484e06e0968a6c8502a3bd9 category: main source: type: url - url: https://github.com/MiraGeoscience/param-sweeps/archive/refs/heads/develop.zip + url: git+https://github.com/MiraGeoscience/param-sweeps@caf4da2f3af80075b484e06e0968a6c8502a3bd9 optional: false diff --git a/pyproject.toml b/pyproject.toml index f245a37f..accf9e13 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -26,36 +26,41 @@ include = [ ] [tool.poetry.dependencies] -python = "^3.10, <3.11" +python = "^3.10" dask = {version = "2022.10.*", extras = ["distributed"]} # also in simpeg[dask] discretize = "~0.10.0" # also in simpeg, octree-creation-app distributed = "2022.10.*" # because conda-lock doesn't take dask extras into account -numpy = "~1.23.5" # also in geoh5py, simpeg -scipy = "~1.13" +numpy = "~1.26.0" # also in geoh5py, simpeg +scipy = "~1.14.0" zarr = "~2.14.2" # also in simpeg[dask] ## Pip dependencies from Git repositories #---------------------------------------- -#geoh5py = {version = "~0.9.0rc1", source = "pypi", allow-prereleases = true} -geoh5py = {url = "https://github.com/MiraGeoscience/geoh5py/archive/refs/heads/develop.zip"} -#geoh5py = {url = "http://localhost:8888/geoh5py.tar.gz#sha256="} - -#octree-creation-app = {version = "~0.1.0rc2", source = "pypi", allow-prereleases = true} -octree-creation-app = {url = "https://github.com/MiraGeoscience/octree-creation-app/archive/refs/heads/develop.zip"} -#octree-creation-app = {url = "http://localhost:8888/octree-creation-app.tar.gz#sha256="} - -#geoapps-utils = {version = "~0.3.0rc1", source = "pypi", allow-prereleases = true} -geoapps-utils = {url = "https://github.com/MiraGeoscience/geoapps-utils/archive/refs/heads/develop.zip"} -#geoapps-utils = {url = "http://localhost:8888/geoapps-utils.tar.gz#sha256="} - -#mira-simpeg = {version = ">=0.19.0.8rc3,<0.19.0.9.dev", source = "pypi", allow-prereleases = true} -mira-simpeg = {url = "https://github.com/MiraGeoscience/simpeg/archive/refs/heads/develop.zip"} -#mira-simpeg = {url = "http://localhost:8888/mira-simpeg.tar.gz#sha256="} - -#param-sweeps = {version = "~0.1.7rc1", source = "pypi", allow-prereleases = true} -param-sweeps = {url = "https://github.com/MiraGeoscience/param-sweeps/archive/refs/heads/develop.zip"} -#param-sweeps = {url = "http://localhost:8888/param-sweeps.tar.gz#sha256="} +#geoh5py = {version = "~0.10.0-alpha.1", source = "pypi", allow-prereleases = true} +#geoh5py = {url = "https://github.com/MiraGeoscience/geoh5py/archive/refs/heads/develop.tar.gz"} +geoh5py = {git = "https://github.com/MiraGeoscience/geoh5py.git", rev = "develop"} +#geoh5py = {url = "http://localhost:8888/geoh5py.tar.gz"} + +#octree-creation-app = {version = "~0.2.0-alpha.1", source = "pypi", allow-prereleases = true} +#octree-creation-app = {url = "https://github.com/MiraGeoscience/octree-creation-app/archive/refs/heads/develop.tar.gz"} +octree-creation-app = {git = "https://github.com/MiraGeoscience/octree-creation-app.git", rev = "develop"} +#octree-creation-app = {url = "http://localhost:8888/octree-creation-app.tar.gz"} + +#geoapps-utils = {version = "~0.4.0-alpha.1", source = "pypi", allow-prereleases = true} +#geoapps-utils = {url = "https://github.com/MiraGeoscience/geoapps-utils/archive/refs/heads/develop.tar.gz"} +geoapps-utils = {git = "https://github.com/MiraGeoscience/geoapps-utils.git", rev = "develop"} +#geoapps-utils = {url = "http://localhost:8888/geoapps-utils.tar.gz"} + +#mira-simpeg = {version = ">=0.21.2.1-alpha.1, <0.21.2.2.dev", source = "pypi", allow-prereleases = true} +#mira-simpeg = {url = "https://github.com/MiraGeoscience/simpeg/archive/refs/heads/develop.tar.gz"} +mira-simpeg = {git = "https://github.com/MiraGeoscience/simpeg.git", rev = "develop"} +#mira-simpeg = {url = "http://localhost:8888/mira-simpeg.tar.gz"} + +#param-sweeps = {version = "~0.1.8-alpha.1", source = "pypi", allow-prereleases = true} +#param-sweeps = {url = "https://github.com/MiraGeoscience/param-sweeps/archive/refs/heads/develop.tar.gz"} +param-sweeps = {git = "https://github.com/MiraGeoscience/param-sweeps.git", rev = "develop"} +#param-sweeps = {url = "http://localhost:8888/param-sweeps.tar.gz"} ## indirect dependencies, forcing them here for installation through Conda not pip #--------------------------------------------------------------------------------- @@ -66,7 +71,7 @@ h5py = "^3.2.1" # from geoh5py matplotlib = "~3.7.1" # from simpeg mkl = "2023.2.0" # from simpeg pandas = "~2.2.1" # from SimPEG, also used by targeting-workflow, petro-lingo -pydantic = "~2.5.2" # from geoapps-utils +pydantic = "^2.5.2" # from geoh5py pydiso = "~0.0.5" # from simpeg pymatsolver = "~0.2.0" # from simpeg intel-openmp = "^2023.2.0" @@ -75,17 +80,17 @@ tqdm = "^4.66.1" # from simpeg # force some versions to resolve incompatible resolution between PyPI and Conda #------------------------------------------------------------------------------ -tbb = "~2021.12.0" -tzdata = "2023.4" # through pandas from SimPEG +tbb = "2021.12.*" # through mkl from SimPEG +tzdata = "2023.4.*" # through pandas from SimPEG ## about pip dependencies # to be specified to work with conda-lock # - from PyPI: my_package = { version = "1.2.3", source = "pypi" } -# - from URL: -# - for a tags: my_package = { url = "https://github.com/ORGANISATION/REPO/archive/refs/tags/VERSION_TAG.zip#sha256=" } -# - for a branch: my_package = { url = "https://github.com/ORGANISATION/REPO/archive/refs/heads/BRANCH.zip#sha256=" } -# Note - conda-lock does not support the syntax: my_package = { git = ... } -# while poetry2conda supports only { git = "...", tag = "..." }, and not { url = ... } +# - from URL: !!! no actual lock, as tag or branch can move and installation will fetch current !!! +# - for a tag: my_package = { url = "https://github.com/ORGANISATION/REPO/archive/refs/tags/TAG.tar.gz" } +# - for a branch: my_package = { url = "https://github.com/ORGANISATION/REPO/archive/refs/heads/BRANCH.tar.gz" } +# - to actually lock on a revision: my_package = { git = "https://github.com/ORGANISATION/REPO.git", rev = "GIT_REV" } +# (where rev value is a tag, a branch name or a commit hash). Can also use ``branch`` or ``tag`` instead of ``rev`` [tool.poetry.group.dev.dependencies] Pygments = "*" From f9c74a39bc120d2881a9e7717448037642ef0393 Mon Sep 17 00:00:00 2001 From: sebhmg Date: Thu, 4 Jul 2024 22:53:34 -0400 Subject: [PATCH 051/350] GEOPY-1617: point to a modified branch of mira-simpeg --- .../py-3.10-linux-64-dev.conda.lock.yml | 6 +-- environments/py-3.10-linux-64.conda.lock.yml | 6 +-- .../py-3.10-win-64-dev.conda.lock.yml | 6 +-- environments/py-3.10-win-64.conda.lock.yml | 6 +-- py-3.10.conda-lock.yml | 42 +++++++------------ pyproject.toml | 3 +- 6 files changed, 30 insertions(+), 39 deletions(-) diff --git a/environments/py-3.10-linux-64-dev.conda.lock.yml b/environments/py-3.10-linux-64-dev.conda.lock.yml index eb262710..69f47e27 100644 --- a/environments/py-3.10-linux-64-dev.conda.lock.yml +++ b/environments/py-3.10-linux-64-dev.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: bc88433718cd5fba8f4c696794a8446c7376a556cd8d9f9b9225519aa4b43c66 +# input_hash: 12666b28906423c0c8df95d5f9c8f39fa09905331c91e428993e652d452ca76c channels: - conda-forge @@ -276,9 +276,9 @@ dependencies: - zstandard=0.22.0=py310hab88d88_1 - zstd=1.5.6=ha6fb4c9_0 - pip: - - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@18b1565d825cfac35a91cac081a7791a6d62a846 + - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@03aa505b3957dd543be737d637760dc77a79bec7 - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@21ce81d279c206ce0a279377168ce50e0a35d3d2 - - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg@b4da9954e68c996a88c243c0cf49426fc2605d1e + - mira-simpeg @ git+https://github.com/sebhmg/simpeg@06efe927ff555ba1596c6cb9bd453568e3c50b09 - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@015211d1f189072f3c8abe3b19ade42dee72e022 - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps@caf4da2f3af80075b484e06e0968a6c8502a3bd9 diff --git a/environments/py-3.10-linux-64.conda.lock.yml b/environments/py-3.10-linux-64.conda.lock.yml index 25fc0a5f..68200402 100644 --- a/environments/py-3.10-linux-64.conda.lock.yml +++ b/environments/py-3.10-linux-64.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: bc88433718cd5fba8f4c696794a8446c7376a556cd8d9f9b9225519aa4b43c66 +# input_hash: 12666b28906423c0c8df95d5f9c8f39fa09905331c91e428993e652d452ca76c channels: - conda-forge @@ -148,9 +148,9 @@ dependencies: - zstandard=0.22.0=py310hab88d88_1 - zstd=1.5.6=ha6fb4c9_0 - pip: - - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@18b1565d825cfac35a91cac081a7791a6d62a846 + - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@03aa505b3957dd543be737d637760dc77a79bec7 - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@21ce81d279c206ce0a279377168ce50e0a35d3d2 - - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg@b4da9954e68c996a88c243c0cf49426fc2605d1e + - mira-simpeg @ git+https://github.com/sebhmg/simpeg@06efe927ff555ba1596c6cb9bd453568e3c50b09 - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@015211d1f189072f3c8abe3b19ade42dee72e022 - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps@caf4da2f3af80075b484e06e0968a6c8502a3bd9 diff --git a/environments/py-3.10-win-64-dev.conda.lock.yml b/environments/py-3.10-win-64-dev.conda.lock.yml index 266f9363..f7a988a3 100644 --- a/environments/py-3.10-win-64-dev.conda.lock.yml +++ b/environments/py-3.10-win-64-dev.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: 35998b3add3c6ba4181f304fc2d8c929ca1fd4ccb395d1339949a0407ecee7fc +# input_hash: 7e346938fade20fcf18345408c4699b10851ee06a8b5fe8095980c00f53fcb57 channels: - conda-forge @@ -269,9 +269,9 @@ dependencies: - zstandard=0.22.0=py310he5e10e1_1 - zstd=1.5.6=h0ea2cb4_0 - pip: - - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@18b1565d825cfac35a91cac081a7791a6d62a846 + - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@03aa505b3957dd543be737d637760dc77a79bec7 - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@21ce81d279c206ce0a279377168ce50e0a35d3d2 - - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg@b4da9954e68c996a88c243c0cf49426fc2605d1e + - mira-simpeg @ git+https://github.com/sebhmg/simpeg@06efe927ff555ba1596c6cb9bd453568e3c50b09 - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@015211d1f189072f3c8abe3b19ade42dee72e022 - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps@caf4da2f3af80075b484e06e0968a6c8502a3bd9 diff --git a/environments/py-3.10-win-64.conda.lock.yml b/environments/py-3.10-win-64.conda.lock.yml index 3d8fcbc4..8409a58b 100644 --- a/environments/py-3.10-win-64.conda.lock.yml +++ b/environments/py-3.10-win-64.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: 35998b3add3c6ba4181f304fc2d8c929ca1fd4ccb395d1339949a0407ecee7fc +# input_hash: 7e346938fade20fcf18345408c4699b10851ee06a8b5fe8095980c00f53fcb57 channels: - conda-forge @@ -140,9 +140,9 @@ dependencies: - zstandard=0.22.0=py310he5e10e1_1 - zstd=1.5.6=h0ea2cb4_0 - pip: - - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@18b1565d825cfac35a91cac081a7791a6d62a846 + - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@03aa505b3957dd543be737d637760dc77a79bec7 - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@21ce81d279c206ce0a279377168ce50e0a35d3d2 - - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg@b4da9954e68c996a88c243c0cf49426fc2605d1e + - mira-simpeg @ git+https://github.com/sebhmg/simpeg@06efe927ff555ba1596c6cb9bd453568e3c50b09 - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@015211d1f189072f3c8abe3b19ade42dee72e022 - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps@caf4da2f3af80075b484e06e0968a6c8502a3bd9 diff --git a/py-3.10.conda-lock.yml b/py-3.10.conda-lock.yml index 2bba9dbd..99179c29 100644 --- a/py-3.10.conda-lock.yml +++ b/py-3.10.conda-lock.yml @@ -15,8 +15,8 @@ version: 1 metadata: content_hash: - win-64: 35998b3add3c6ba4181f304fc2d8c929ca1fd4ccb395d1339949a0407ecee7fc - linux-64: bc88433718cd5fba8f4c696794a8446c7376a556cd8d9f9b9225519aa4b43c66 + win-64: 7e346938fade20fcf18345408c4699b10851ee06a8b5fe8095980c00f53fcb57 + linux-64: 12666b28906423c0c8df95d5f9c8f39fa09905331c91e428993e652d452ca76c channels: - url: conda-forge used_env_vars: [] @@ -7679,13 +7679,13 @@ package: numpy: '>=1.26.0,<1.27.0' pydantic: '>=2.5.2,<3.0.0' scipy: '>=1.14.0,<1.15.0' - url: git+https://github.com/MiraGeoscience/geoapps-utils@18b1565d825cfac35a91cac081a7791a6d62a846 + url: git+https://github.com/MiraGeoscience/geoapps-utils@03aa505b3957dd543be737d637760dc77a79bec7 hash: - sha256: 18b1565d825cfac35a91cac081a7791a6d62a846 + sha256: 03aa505b3957dd543be737d637760dc77a79bec7 category: main source: type: url - url: git+https://github.com/MiraGeoscience/geoapps-utils@18b1565d825cfac35a91cac081a7791a6d62a846 + url: git+https://github.com/MiraGeoscience/geoapps-utils@03aa505b3957dd543be737d637760dc77a79bec7 optional: false - name: geoapps-utils version: 0.4.0a1 @@ -7698,13 +7698,13 @@ package: numpy: '>=1.26.0,<1.27.0' pydantic: '>=2.5.2,<3.0.0' scipy: '>=1.14.0,<1.15.0' - url: git+https://github.com/MiraGeoscience/geoapps-utils@18b1565d825cfac35a91cac081a7791a6d62a846 + url: git+https://github.com/MiraGeoscience/geoapps-utils@03aa505b3957dd543be737d637760dc77a79bec7 hash: - sha256: 18b1565d825cfac35a91cac081a7791a6d62a846 + sha256: 03aa505b3957dd543be737d637760dc77a79bec7 category: main source: type: url - url: git+https://github.com/MiraGeoscience/geoapps-utils@18b1565d825cfac35a91cac081a7791a6d62a846 + url: git+https://github.com/MiraGeoscience/geoapps-utils@03aa505b3957dd543be737d637760dc77a79bec7 optional: false - name: geoh5py version: 0.10.0a1 @@ -7748,25 +7748,20 @@ package: discretize: '>=0.8.0' empymod: '>=2.0.0' geoana: '*' - geoh5py: '*' - intel-openmp: 2023.2.0 + geoh5py: '>=0.9.1,<0.11' matplotlib: '*' - mkl: 2023.2.0 numpy: '>=1.20' pandas: '*' - pydiso: '>=0.0.5,<0.1.0' pymatsolver: '>=0.2' scikit-learn: '>=1.2' scipy: '>=1.8.0' - tbb: 2021.12.0 - tzdata: '2023.4' - url: git+https://github.com/MiraGeoscience/simpeg@b4da9954e68c996a88c243c0cf49426fc2605d1e + url: git+https://github.com/sebhmg/simpeg@06efe927ff555ba1596c6cb9bd453568e3c50b09 hash: - sha256: b4da9954e68c996a88c243c0cf49426fc2605d1e + sha256: 06efe927ff555ba1596c6cb9bd453568e3c50b09 category: main source: type: url - url: git+https://github.com/MiraGeoscience/simpeg@b4da9954e68c996a88c243c0cf49426fc2605d1e + url: git+https://github.com/sebhmg/simpeg@06efe927ff555ba1596c6cb9bd453568e3c50b09 optional: false - name: mira-simpeg version: 0.21.2.1a1 @@ -7776,25 +7771,20 @@ package: discretize: '>=0.8.0' empymod: '>=2.0.0' geoana: '*' - geoh5py: '*' - intel-openmp: 2023.2.0 + geoh5py: '>=0.9.1,<0.11' matplotlib: '*' - mkl: 2023.2.0 numpy: '>=1.20' pandas: '*' - pydiso: '>=0.0.5,<0.1.0' pymatsolver: '>=0.2' scikit-learn: '>=1.2' scipy: '>=1.8.0' - tbb: 2021.12.0 - tzdata: '2023.4' - url: git+https://github.com/MiraGeoscience/simpeg@b4da9954e68c996a88c243c0cf49426fc2605d1e + url: git+https://github.com/sebhmg/simpeg@06efe927ff555ba1596c6cb9bd453568e3c50b09 hash: - sha256: b4da9954e68c996a88c243c0cf49426fc2605d1e + sha256: 06efe927ff555ba1596c6cb9bd453568e3c50b09 category: main source: type: url - url: git+https://github.com/MiraGeoscience/simpeg@b4da9954e68c996a88c243c0cf49426fc2605d1e + url: git+https://github.com/sebhmg/simpeg@06efe927ff555ba1596c6cb9bd453568e3c50b09 optional: false - name: octree-creation-app version: 0.2.0a1 diff --git a/pyproject.toml b/pyproject.toml index accf9e13..8b84afb0 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -54,7 +54,8 @@ geoapps-utils = {git = "https://github.com/MiraGeoscience/geoapps-utils.git", re #mira-simpeg = {version = ">=0.21.2.1-alpha.1, <0.21.2.2.dev", source = "pypi", allow-prereleases = true} #mira-simpeg = {url = "https://github.com/MiraGeoscience/simpeg/archive/refs/heads/develop.tar.gz"} -mira-simpeg = {git = "https://github.com/MiraGeoscience/simpeg.git", rev = "develop"} +#mira-simpeg = {git = "https://github.com/MiraGeoscience/simpeg.git", rev = "develop"} +mira-simpeg = {git = "https://github.com/sebhmg/simpeg.git", rev = "GEOPY-1617"} #mira-simpeg = {url = "http://localhost:8888/mira-simpeg.tar.gz"} #param-sweeps = {version = "~0.1.8-alpha.1", source = "pypi", allow-prereleases = true} From db70c10c0a9e35e157055af682806d4bf70b6100 Mon Sep 17 00:00:00 2001 From: sebhmg Date: Thu, 4 Jul 2024 23:41:28 -0400 Subject: [PATCH 052/350] GEOPY-1617: do not force Intel OMP --- .../py-3.10-linux-64-dev.conda.lock.yml | 4 +--- environments/py-3.10-linux-64.conda.lock.yml | 4 +--- environments/py-3.10-win-64-dev.conda.lock.yml | 3 +-- environments/py-3.10-win-64.conda.lock.yml | 3 +-- py-3.10.conda-lock.yml | 17 ++--------------- pyproject.toml | 3 +-- 6 files changed, 7 insertions(+), 27 deletions(-) diff --git a/environments/py-3.10-linux-64-dev.conda.lock.yml b/environments/py-3.10-linux-64-dev.conda.lock.yml index 69f47e27..20807e1d 100644 --- a/environments/py-3.10-linux-64-dev.conda.lock.yml +++ b/environments/py-3.10-linux-64-dev.conda.lock.yml @@ -1,10 +1,9 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: 12666b28906423c0c8df95d5f9c8f39fa09905331c91e428993e652d452ca76c +# input_hash: 245239cf90ea89cdf08a5aa5a9b065c6ea7a5f663389ce77f54dff3bffdf4d7c channels: - conda-forge - - intel dependencies: - _libgcc_mutex=0.1=conda_forge - _openmp_mutex=4.5=2_kmp_llvm @@ -71,7 +70,6 @@ dependencies: - importlib_metadata=8.0.0=hd8ed1ab_0 - importlib_resources=6.4.0=pyhd8ed1ab_0 - iniconfig=2.0.0=pyhd8ed1ab_0 - - intel-openmp=2023.2.4=intel_49553 - ipykernel=6.29.5=pyh3099207_0 - ipython=8.26.0=pyh707e725_0 - ipython_genutils=0.2.0=pyhd8ed1ab_1 diff --git a/environments/py-3.10-linux-64.conda.lock.yml b/environments/py-3.10-linux-64.conda.lock.yml index 68200402..5fa9628a 100644 --- a/environments/py-3.10-linux-64.conda.lock.yml +++ b/environments/py-3.10-linux-64.conda.lock.yml @@ -1,10 +1,9 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: 12666b28906423c0c8df95d5f9c8f39fa09905331c91e428993e652d452ca76c +# input_hash: 245239cf90ea89cdf08a5aa5a9b065c6ea7a5f663389ce77f54dff3bffdf4d7c channels: - conda-forge - - intel dependencies: - _libgcc_mutex=0.1=conda_forge - _openmp_mutex=4.5=2_kmp_llvm @@ -41,7 +40,6 @@ dependencies: - hpack=4.0.0=pyh9f0ad1d_0 - hyperframe=6.0.1=pyhd8ed1ab_0 - icu=73.2=h59595ed_0 - - intel-openmp=2023.2.4=intel_49553 - jinja2=3.1.4=pyhd8ed1ab_0 - joblib=1.4.2=pyhd8ed1ab_0 - keyutils=1.6.1=h166bdaf_0 diff --git a/environments/py-3.10-win-64-dev.conda.lock.yml b/environments/py-3.10-win-64-dev.conda.lock.yml index f7a988a3..c4a67b28 100644 --- a/environments/py-3.10-win-64-dev.conda.lock.yml +++ b/environments/py-3.10-win-64-dev.conda.lock.yml @@ -1,10 +1,9 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: 7e346938fade20fcf18345408c4699b10851ee06a8b5fe8095980c00f53fcb57 +# input_hash: e9754d840c35a4983e67d8b088416e454d379001ec9f184e6f9b3a997629f908 channels: - conda-forge - - intel dependencies: - accessible-pygments=0.0.5=pyhd8ed1ab_0 - alabaster=0.7.16=pyhd8ed1ab_0 diff --git a/environments/py-3.10-win-64.conda.lock.yml b/environments/py-3.10-win-64.conda.lock.yml index 8409a58b..c8c4dac8 100644 --- a/environments/py-3.10-win-64.conda.lock.yml +++ b/environments/py-3.10-win-64.conda.lock.yml @@ -1,10 +1,9 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: 7e346938fade20fcf18345408c4699b10851ee06a8b5fe8095980c00f53fcb57 +# input_hash: e9754d840c35a4983e67d8b088416e454d379001ec9f184e6f9b3a997629f908 channels: - conda-forge - - intel dependencies: - annotated-types=0.7.0=pyhd8ed1ab_0 - asciitree=0.3.3=py_2 diff --git a/py-3.10.conda-lock.yml b/py-3.10.conda-lock.yml index 99179c29..441fa507 100644 --- a/py-3.10.conda-lock.yml +++ b/py-3.10.conda-lock.yml @@ -15,13 +15,11 @@ version: 1 metadata: content_hash: - win-64: 7e346938fade20fcf18345408c4699b10851ee06a8b5fe8095980c00f53fcb57 - linux-64: 12666b28906423c0c8df95d5f9c8f39fa09905331c91e428993e652d452ca76c + win-64: e9754d840c35a4983e67d8b088416e454d379001ec9f184e6f9b3a997629f908 + linux-64: 245239cf90ea89cdf08a5aa5a9b065c6ea7a5f663389ce77f54dff3bffdf4d7c channels: - url: conda-forge used_env_vars: [] - - url: intel - used_env_vars: [] platforms: - win-64 - linux-64 @@ -1795,17 +1793,6 @@ package: sha256: 38740c939b668b36a50ef455b077e8015b8c9cf89860d421b3fff86048f49666 category: dev optional: true -- name: intel-openmp - version: 2023.2.4 - manager: conda - platform: linux-64 - dependencies: {} - url: https://conda.anaconda.org/intel/linux-64/intel-openmp-2023.2.4-intel_49553.tar.bz2 - hash: - md5: 44f6d9ebf802960ca0ae0cea0d9faeca - sha256: 708102b0e69f5c5e8ae9d16acb2d0cfc3f431739a484cb7450ee4fa55fb9b9fd - category: main - optional: false - name: intel-openmp version: 2023.2.0 manager: conda diff --git a/pyproject.toml b/pyproject.toml index 8b84afb0..8505cc50 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -75,7 +75,6 @@ pandas = "~2.2.1" # from SimPEG, also used by targeting-workflow, petro-lingo pydantic = "^2.5.2" # from geoh5py pydiso = "~0.0.5" # from simpeg pymatsolver = "~0.2.0" # from simpeg -intel-openmp = "^2023.2.0" scikit-learn = "~1.4.0" # from SimPEG, also used by geo-unsup-mapper, petro-lingo tqdm = "^4.66.1" # from simpeg @@ -108,7 +107,7 @@ nbconvert = "~7.16.4" [tool.conda-lock] platforms = ['win-64', 'linux-64'] -channels = ['conda-forge', 'intel'] +channels = ['conda-forge'] [tool.conda-lock.dependencies] libblas = "*=*mkl" # because simpeg already brings in the MKL From 6759ead371d54dfdb354393febd9a7feb6a984db Mon Sep 17 00:00:00 2001 From: sebhmg Date: Thu, 4 Jul 2024 23:42:43 -0400 Subject: [PATCH 053/350] GEOPY-1617: leave some freedom on the mkl version --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 8505cc50..78a4fd63 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -70,7 +70,7 @@ fsspec = "2022.*" # from simpeg[dask] geoana = "~0.4.0" # from simpeg h5py = "^3.2.1" # from geoh5py matplotlib = "~3.7.1" # from simpeg -mkl = "2023.2.0" # from simpeg +mkl = "2023.2.*" # from simpeg pandas = "~2.2.1" # from SimPEG, also used by targeting-workflow, petro-lingo pydantic = "^2.5.2" # from geoh5py pydiso = "~0.0.5" # from simpeg From 463e4873958f606bb72d5e1c5dc1e08a47557eaf Mon Sep 17 00:00:00 2001 From: sebhmg Date: Fri, 5 Jul 2024 00:22:08 -0400 Subject: [PATCH 054/350] GEOPY-1617: simpeg requires geoana >=0.5 --- .../py-3.10-linux-64-dev.conda.lock.yml | 16 +- environments/py-3.10-linux-64.conda.lock.yml | 16 +- .../py-3.10-win-64-dev.conda.lock.yml | 15 +- environments/py-3.10-win-64.conda.lock.yml | 15 +- py-3.10.conda-lock.yml | 317 +++++++----------- pyproject.toml | 2 +- 6 files changed, 150 insertions(+), 231 deletions(-) diff --git a/environments/py-3.10-linux-64-dev.conda.lock.yml b/environments/py-3.10-linux-64-dev.conda.lock.yml index 20807e1d..a4ce630d 100644 --- a/environments/py-3.10-linux-64-dev.conda.lock.yml +++ b/environments/py-3.10-linux-64-dev.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: 245239cf90ea89cdf08a5aa5a9b065c6ea7a5f663389ce77f54dff3bffdf4d7c +# input_hash: 7a6f0edcf5944f55af2d370e722e84807edddc7e7ad9002c727cc4638e67fd1a channels: - conda-forge @@ -48,7 +48,6 @@ dependencies: - discretize=0.10.0=py310hcb52e73_1 - distributed=2022.10.2=pyhd8ed1ab_0 - docutils=0.18.1=py310hff52083_1 - - empymod=2.3.1=pyhd8ed1ab_0 - entrypoints=0.4=pyhd8ed1ab_0 - exceptiongroup=1.2.0=pyhd8ed1ab_2 - executing=2.0.1=pyhd8ed1ab_0 @@ -56,7 +55,7 @@ dependencies: - fonttools=4.53.0=py310hc51659f_0 - freetype=2.12.1=h267a509_2 - fsspec=2022.11.0=pyhd8ed1ab_0 - - geoana=0.4.0=py310hbf28c38_1 + - geoana=0.5.0=py310hcb52e73_4 - greenlet=3.0.3=py310hc6cd4ac_0 - h2=4.1.0=pyhd8ed1ab_0 - h5py=3.11.0=nompi_py310hf054cd7_102 @@ -114,7 +113,6 @@ dependencies: - libiconv=1.17=hd590300_2 - libjpeg-turbo=3.0.0=hd590300_1 - liblapack=3.9.0=20_linux64_mkl - - libllvm14=14.0.6=hcd5def8_4 - libnghttp2=1.58.0=h47da74e_1 - libnsl=2.0.1=hd590300_0 - libpng=1.6.43=h2797004_0 @@ -131,7 +129,6 @@ dependencies: - libzlib=1.3.1=h4ab18f5_1 - linkify-it-py=2.0.3=pyhd8ed1ab_0 - llvm-openmp=18.1.8=hf5423f3_0 - - llvmlite=0.43.0=py310h4c7c693_0 - locket=1.0.0=pyhd8ed1ab_0 - markdown-it-py=2.2.0=pyhd8ed1ab_0 - markupsafe=2.1.5=py310h2372a71_0 @@ -156,7 +153,6 @@ dependencies: - nest-asyncio=1.6.0=pyhd8ed1ab_0 - notebook=6.5.7=pyha770c72_0 - notebook-shim=0.2.4=pyhd8ed1ab_0 - - numba=0.60.0=py310h5dc88bb_0 - numcodecs=0.12.1=py310h76e45a6_1 - numpy=1.26.4=py310hb13e2d6_0 - openjpeg=2.5.2=h488ebb8_0 @@ -210,7 +206,6 @@ dependencies: - rpds-py=0.18.1=py310he421c4c_0 - scikit-learn=1.4.2=py310h981052a_1 - scipy=1.14.0=py310h93e2701_0 - - scooby=0.10.0=pyhd8ed1ab_0 - send2trash=1.8.3=pyh0d859eb_0 - setuptools=70.1.1=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 @@ -257,7 +252,6 @@ dependencies: - uc-micro-py=1.0.3=pyhd8ed1ab_0 - unicodedata2=15.1.0=py310h2372a71_0 - urllib3=2.2.2=pyhd8ed1ab_1 - - utm=0.7.0=pyhd8ed1ab_0 - wcwidth=0.2.13=pyhd8ed1ab_0 - webencodings=0.5.1=pyhd8ed1ab_2 - websocket-client=1.8.0=pyhd8ed1ab_0 @@ -274,11 +268,15 @@ dependencies: - zstandard=0.22.0=py310hab88d88_1 - zstd=1.5.6=ha6fb4c9_0 - pip: + - empymod === 2.3.1 - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@03aa505b3957dd543be737d637760dc77a79bec7 - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@21ce81d279c206ce0a279377168ce50e0a35d3d2 - - mira-simpeg @ git+https://github.com/sebhmg/simpeg@06efe927ff555ba1596c6cb9bd453568e3c50b09 + - llvmlite === 0.43.0 + - mira-simpeg @ git+https://github.com/sebhmg/simpeg@b11209edcf2fa290e2efdd67df0d6ec3d6758ea8 + - numba === 0.60.0 - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@015211d1f189072f3c8abe3b19ade42dee72e022 - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps@caf4da2f3af80075b484e06e0968a6c8502a3bd9 + - scooby === 0.10.0 variables: KMP_WARNINGS: 0 diff --git a/environments/py-3.10-linux-64.conda.lock.yml b/environments/py-3.10-linux-64.conda.lock.yml index 5fa9628a..fddd08f2 100644 --- a/environments/py-3.10-linux-64.conda.lock.yml +++ b/environments/py-3.10-linux-64.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: 245239cf90ea89cdf08a5aa5a9b065c6ea7a5f663389ce77f54dff3bffdf4d7c +# input_hash: 7a6f0edcf5944f55af2d370e722e84807edddc7e7ad9002c727cc4638e67fd1a channels: - conda-forge @@ -28,12 +28,11 @@ dependencies: - dask-core=2022.10.2=pyhd8ed1ab_0 - discretize=0.10.0=py310hcb52e73_1 - distributed=2022.10.2=pyhd8ed1ab_0 - - empymod=2.3.1=pyhd8ed1ab_0 - fasteners=0.17.3=pyhd8ed1ab_0 - fonttools=4.53.0=py310hc51659f_0 - freetype=2.12.1=h267a509_2 - fsspec=2022.11.0=pyhd8ed1ab_0 - - geoana=0.4.0=py310hbf28c38_1 + - geoana=0.5.0=py310hcb52e73_4 - h2=4.1.0=pyhd8ed1ab_0 - h5py=3.11.0=nompi_py310hf054cd7_102 - hdf5=1.14.3=nompi_hdf9ad27_105 @@ -67,7 +66,6 @@ dependencies: - libiconv=1.17=hd590300_2 - libjpeg-turbo=3.0.0=hd590300_1 - liblapack=3.9.0=20_linux64_mkl - - libllvm14=14.0.6=hcd5def8_4 - libnghttp2=1.58.0=h47da74e_1 - libnsl=2.0.1=hd590300_0 - libpng=1.6.43=h2797004_0 @@ -82,7 +80,6 @@ dependencies: - libxml2=2.12.7=hc051c1a_1 - libzlib=1.3.1=h4ab18f5_1 - llvm-openmp=18.1.8=hf5423f3_0 - - llvmlite=0.43.0=py310h4c7c693_0 - locket=1.0.0=pyhd8ed1ab_0 - markupsafe=2.1.5=py310h2372a71_0 - matplotlib-base=3.7.3=py310h62c0568_0 @@ -90,7 +87,6 @@ dependencies: - msgpack-python=1.0.8=py310h25c7140_0 - munkres=1.1.4=pyh9f0ad1d_0 - ncurses=6.5=h59595ed_0 - - numba=0.60.0=py310h5dc88bb_0 - numcodecs=0.12.1=py310h76e45a6_1 - numpy=1.26.4=py310hb13e2d6_0 - openjpeg=2.5.2=h488ebb8_0 @@ -119,7 +115,6 @@ dependencies: - readline=8.2=h8228510_1 - scikit-learn=1.4.2=py310h981052a_1 - scipy=1.14.0=py310h93e2701_0 - - scooby=0.10.0=pyhd8ed1ab_0 - setuptools=70.1.1=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 - sortedcontainers=2.4.0=pyhd8ed1ab_0 @@ -135,7 +130,6 @@ dependencies: - tzdata=2024a=h0c530f3_0 - unicodedata2=15.1.0=py310h2372a71_0 - urllib3=2.2.2=pyhd8ed1ab_1 - - utm=0.7.0=pyhd8ed1ab_0 - wheel=0.43.0=pyhd8ed1ab_1 - xorg-libxau=1.0.11=hd590300_0 - xorg-libxdmcp=1.1.3=h7f98852_0 @@ -146,11 +140,15 @@ dependencies: - zstandard=0.22.0=py310hab88d88_1 - zstd=1.5.6=ha6fb4c9_0 - pip: + - empymod === 2.3.1 - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@03aa505b3957dd543be737d637760dc77a79bec7 - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@21ce81d279c206ce0a279377168ce50e0a35d3d2 - - mira-simpeg @ git+https://github.com/sebhmg/simpeg@06efe927ff555ba1596c6cb9bd453568e3c50b09 + - llvmlite === 0.43.0 + - mira-simpeg @ git+https://github.com/sebhmg/simpeg@b11209edcf2fa290e2efdd67df0d6ec3d6758ea8 + - numba === 0.60.0 - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@015211d1f189072f3c8abe3b19ade42dee72e022 - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps@caf4da2f3af80075b484e06e0968a6c8502a3bd9 + - scooby === 0.10.0 variables: KMP_WARNINGS: 0 diff --git a/environments/py-3.10-win-64-dev.conda.lock.yml b/environments/py-3.10-win-64-dev.conda.lock.yml index c4a67b28..1f7b9feb 100644 --- a/environments/py-3.10-win-64-dev.conda.lock.yml +++ b/environments/py-3.10-win-64-dev.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: e9754d840c35a4983e67d8b088416e454d379001ec9f184e6f9b3a997629f908 +# input_hash: 70b07a66ca4b24914bc2b238cb8341f48e0a0ab64d19e93ed59e1faa0de8a9f9 channels: - conda-forge @@ -45,7 +45,6 @@ dependencies: - discretize=0.10.0=py310h4856b71_1 - distributed=2022.10.2=pyhd8ed1ab_0 - docutils=0.18.1=py310h5588dad_1 - - empymod=2.3.1=pyhd8ed1ab_0 - entrypoints=0.4=pyhd8ed1ab_0 - exceptiongroup=1.2.0=pyhd8ed1ab_2 - executing=2.0.1=pyhd8ed1ab_0 @@ -53,7 +52,7 @@ dependencies: - fonttools=4.53.0=py310ha8f682b_0 - freetype=2.12.1=hdaf720e_2 - fsspec=2022.11.0=pyhd8ed1ab_0 - - geoana=0.4.0=py310h232114e_1 + - geoana=0.5.0=py310h4856b71_4 - greenlet=3.0.3=py310h00ffb61_0 - h2=4.1.0=pyhd8ed1ab_0 - h5py=3.11.0=nompi_py310h2b0be38_102 @@ -114,7 +113,6 @@ dependencies: - libxml2=2.12.7=h283a6d9_1 - libzlib=1.3.1=h2466b09_1 - linkify-it-py=2.0.3=pyhd8ed1ab_0 - - llvmlite=0.43.0=py310h0288bfe_0 - locket=1.0.0=pyhd8ed1ab_0 - m2w64-gcc-libgfortran=5.3.0=6 - m2w64-gcc-libs=5.3.0=7 @@ -144,7 +142,6 @@ dependencies: - nest-asyncio=1.6.0=pyhd8ed1ab_0 - notebook=6.5.7=pyha770c72_0 - notebook-shim=0.2.4=pyhd8ed1ab_0 - - numba=0.60.0=py310h7793332_0 - numcodecs=0.12.1=py310h9e98ed7_1 - numpy=1.26.4=py310hf667824_0 - openjpeg=2.5.2=h3d672ee_0 @@ -198,7 +195,6 @@ dependencies: - rpds-py=0.18.1=py310hc226416_0 - scikit-learn=1.4.2=py310hf2a6c47_1 - scipy=1.14.0=py310h46043a1_0 - - scooby=0.10.0=pyhd8ed1ab_0 - send2trash=1.8.3=pyh5737063_0 - setuptools=70.1.1=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 @@ -246,7 +242,6 @@ dependencies: - ucrt=10.0.22621.0=h57928b3_0 - unicodedata2=15.1.0=py310h8d17308_0 - urllib3=2.2.2=pyhd8ed1ab_1 - - utm=0.7.0=pyhd8ed1ab_0 - vc=14.3=h8a93ad2_20 - vc14_runtime=14.40.33810=ha82c5b3_20 - vs2015_runtime=14.40.33810=h3bf8584_20 @@ -268,11 +263,15 @@ dependencies: - zstandard=0.22.0=py310he5e10e1_1 - zstd=1.5.6=h0ea2cb4_0 - pip: + - empymod === 2.3.1 - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@03aa505b3957dd543be737d637760dc77a79bec7 - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@21ce81d279c206ce0a279377168ce50e0a35d3d2 - - mira-simpeg @ git+https://github.com/sebhmg/simpeg@06efe927ff555ba1596c6cb9bd453568e3c50b09 + - llvmlite === 0.43.0 + - mira-simpeg @ git+https://github.com/sebhmg/simpeg@b11209edcf2fa290e2efdd67df0d6ec3d6758ea8 + - numba === 0.60.0 - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@015211d1f189072f3c8abe3b19ade42dee72e022 - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps@caf4da2f3af80075b484e06e0968a6c8502a3bd9 + - scooby === 0.10.0 variables: KMP_WARNINGS: 0 diff --git a/environments/py-3.10-win-64.conda.lock.yml b/environments/py-3.10-win-64.conda.lock.yml index c8c4dac8..5695fdd5 100644 --- a/environments/py-3.10-win-64.conda.lock.yml +++ b/environments/py-3.10-win-64.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: e9754d840c35a4983e67d8b088416e454d379001ec9f184e6f9b3a997629f908 +# input_hash: 70b07a66ca4b24914bc2b238cb8341f48e0a0ab64d19e93ed59e1faa0de8a9f9 channels: - conda-forge @@ -25,12 +25,11 @@ dependencies: - dask-core=2022.10.2=pyhd8ed1ab_0 - discretize=0.10.0=py310h4856b71_1 - distributed=2022.10.2=pyhd8ed1ab_0 - - empymod=2.3.1=pyhd8ed1ab_0 - fasteners=0.17.3=pyhd8ed1ab_0 - fonttools=4.53.0=py310ha8f682b_0 - freetype=2.12.1=hdaf720e_2 - fsspec=2022.11.0=pyhd8ed1ab_0 - - geoana=0.4.0=py310h232114e_1 + - geoana=0.5.0=py310h4856b71_4 - h2=4.1.0=pyhd8ed1ab_0 - h5py=3.11.0=nompi_py310h2b0be38_102 - hdf5=1.14.3=nompi_h2b43c12_105 @@ -65,7 +64,6 @@ dependencies: - libxcb=1.16=hcd874cb_0 - libxml2=2.12.7=h283a6d9_1 - libzlib=1.3.1=h2466b09_1 - - llvmlite=0.43.0=py310h0288bfe_0 - locket=1.0.0=pyhd8ed1ab_0 - m2w64-gcc-libgfortran=5.3.0=6 - m2w64-gcc-libs=5.3.0=7 @@ -78,7 +76,6 @@ dependencies: - msgpack-python=1.0.8=py310hc19bc0b_0 - msys2-conda-epoch=20160418=1 - munkres=1.1.4=pyh9f0ad1d_0 - - numba=0.60.0=py310h7793332_0 - numcodecs=0.12.1=py310h9e98ed7_1 - numpy=1.26.4=py310hf667824_0 - openjpeg=2.5.2=h3d672ee_0 @@ -107,7 +104,6 @@ dependencies: - pyyaml=6.0.1=py310h8d17308_1 - scikit-learn=1.4.2=py310hf2a6c47_1 - scipy=1.14.0=py310h46043a1_0 - - scooby=0.10.0=pyhd8ed1ab_0 - setuptools=70.1.1=pyhd8ed1ab_0 - 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name: geoapps-utils version: 0.4.0a1 manager: pip @@ -7727,14 +7588,34 @@ package: type: url url: git+https://github.com/MiraGeoscience/geoh5py.git@21ce81d279c206ce0a279377168ce50e0a35d3d2 optional: false +- name: llvmlite + version: 0.43.0 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/c6/21/2ffbab5714e72f2483207b4a1de79b2eecd9debbf666ff4e7067bcc5c134/llvmlite-0.43.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl + hash: + sha256: 6912a87782acdff6eb8bf01675ed01d60ca1f2551f8176a300a886f09e836a6a + category: main + optional: false +- name: llvmlite + version: 0.43.0 + manager: pip + platform: win-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/f2/26/b5478037c453554a61625ef1125f7e12bb1429ae11c6376f47beba9b0179/llvmlite-0.43.0-cp310-cp310-win_amd64.whl + hash: + sha256: 14f0e4bf2fd2d9a75a3534111e8ebeb08eda2f33e9bdd6dfa13282afacdde0ed + category: main + optional: false - name: mira-simpeg version: 0.21.2.1a1 manager: pip platform: linux-64 dependencies: - discretize: '>=0.8.0' + discretize: '>=0.10.0' empymod: '>=2.0.0' - geoana: '*' + geoana: '>=0.5.0' geoh5py: '>=0.9.1,<0.11' matplotlib: '*' numpy: '>=1.20' @@ -7742,22 +7623,22 @@ package: pymatsolver: '>=0.2' scikit-learn: '>=1.2' scipy: '>=1.8.0' - url: git+https://github.com/sebhmg/simpeg@06efe927ff555ba1596c6cb9bd453568e3c50b09 + url: git+https://github.com/sebhmg/simpeg@b11209edcf2fa290e2efdd67df0d6ec3d6758ea8 hash: - sha256: 06efe927ff555ba1596c6cb9bd453568e3c50b09 + sha256: b11209edcf2fa290e2efdd67df0d6ec3d6758ea8 category: main source: type: url - url: git+https://github.com/sebhmg/simpeg@06efe927ff555ba1596c6cb9bd453568e3c50b09 + url: git+https://github.com/sebhmg/simpeg@b11209edcf2fa290e2efdd67df0d6ec3d6758ea8 optional: false - name: mira-simpeg version: 0.21.2.1a1 manager: pip platform: win-64 dependencies: - discretize: '>=0.8.0' + discretize: '>=0.10.0' empymod: '>=2.0.0' - geoana: '*' + geoana: '>=0.5.0' geoh5py: '>=0.9.1,<0.11' matplotlib: '*' numpy: '>=1.20' @@ -7765,13 +7646,37 @@ package: pymatsolver: '>=0.2' scikit-learn: '>=1.2' scipy: '>=1.8.0' - url: git+https://github.com/sebhmg/simpeg@06efe927ff555ba1596c6cb9bd453568e3c50b09 + url: git+https://github.com/sebhmg/simpeg@b11209edcf2fa290e2efdd67df0d6ec3d6758ea8 hash: - sha256: 06efe927ff555ba1596c6cb9bd453568e3c50b09 + sha256: b11209edcf2fa290e2efdd67df0d6ec3d6758ea8 category: main source: type: url - url: git+https://github.com/sebhmg/simpeg@06efe927ff555ba1596c6cb9bd453568e3c50b09 + url: git+https://github.com/sebhmg/simpeg@b11209edcf2fa290e2efdd67df0d6ec3d6758ea8 + optional: false +- name: numba + version: 0.60.0 + manager: pip + platform: linux-64 + dependencies: + llvmlite: '>=0.43.0dev0,<0.44' + numpy: '>=1.22,<2.1' + url: https://files.pythonhosted.org/packages/79/58/cb4ac5b8f7ec64200460aef1fed88258fb872ceef504ab1f989d2ff0f684/numba-0.60.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl + hash: + sha256: fe0b28abb8d70f8160798f4de9d486143200f34458d34c4a214114e445d7124e + category: main + optional: false +- name: numba + version: 0.60.0 + manager: pip + platform: win-64 + dependencies: + llvmlite: '>=0.43.0dev0,<0.44' + numpy: '>=1.22,<2.1' + url: https://files.pythonhosted.org/packages/1c/b0/c61a93ca947d12233ff45de506ddbf52af3f752066a0b8be4d27426e16da/numba-0.60.0-cp310-cp310-win_amd64.whl + hash: + sha256: 19407ced081d7e2e4b8d8c36aa57b7452e0283871c296e12d798852bc7d7f198 + category: main optional: false - name: octree-creation-app version: 0.2.0a1 @@ -7845,3 +7750,23 @@ package: type: url url: git+https://github.com/MiraGeoscience/param-sweeps@caf4da2f3af80075b484e06e0968a6c8502a3bd9 optional: false +- name: scooby + version: 0.10.0 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/2f/4b/ea1c1c4ecaa97baf8001568d502eaff1bbc3d5c1b48cce3f3fd5a77b8f52/scooby-0.10.0-py3-none-any.whl + hash: + sha256: 0a3d7e304f8ebb16f69ff7f6360c345d7f50b45f2ddbf7c3d18a6a0dc2cb03a6 + category: main + optional: false +- name: scooby + version: 0.10.0 + manager: pip + platform: win-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/2f/4b/ea1c1c4ecaa97baf8001568d502eaff1bbc3d5c1b48cce3f3fd5a77b8f52/scooby-0.10.0-py3-none-any.whl + hash: + sha256: 0a3d7e304f8ebb16f69ff7f6360c345d7f50b45f2ddbf7c3d18a6a0dc2cb03a6 + category: main + optional: false diff --git a/pyproject.toml b/pyproject.toml index 78a4fd63..ae59d842 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -67,7 +67,7 @@ param-sweeps = {git = "https://github.com/MiraGeoscience/param-sweeps.git", rev #--------------------------------------------------------------------------------- Pillow = "~10.3.0" # from geoh5py fsspec = "2022.*" # from simpeg[dask] -geoana = "~0.4.0" # from simpeg +geoana = "~0.5.0" # from simpeg h5py = "^3.2.1" # from geoh5py matplotlib = "~3.7.1" # from simpeg mkl = "2023.2.*" # from simpeg From 46a3bfd2340f58136686dde26214a11d6e5dc44b Mon Sep 17 00:00:00 2001 From: sebhmg Date: Fri, 5 Jul 2024 00:33:34 -0400 Subject: [PATCH 055/350] GEOPY-1617: relock on updated simpeg branch --- environments/py-3.10-linux-64-dev.conda.lock.yml | 2 +- environments/py-3.10-linux-64.conda.lock.yml | 2 +- environments/py-3.10-win-64-dev.conda.lock.yml | 2 +- environments/py-3.10-win-64.conda.lock.yml | 2 +- py-3.10.conda-lock.yml | 12 ++++++------ 5 files changed, 10 insertions(+), 10 deletions(-) diff --git a/environments/py-3.10-linux-64-dev.conda.lock.yml b/environments/py-3.10-linux-64-dev.conda.lock.yml index a4ce630d..4dba6a54 100644 --- a/environments/py-3.10-linux-64-dev.conda.lock.yml +++ b/environments/py-3.10-linux-64-dev.conda.lock.yml @@ -272,7 +272,7 @@ dependencies: - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@03aa505b3957dd543be737d637760dc77a79bec7 - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@21ce81d279c206ce0a279377168ce50e0a35d3d2 - llvmlite === 0.43.0 - - mira-simpeg @ git+https://github.com/sebhmg/simpeg@b11209edcf2fa290e2efdd67df0d6ec3d6758ea8 + - mira-simpeg @ git+https://github.com/sebhmg/simpeg@e25d50ae14a898e2055112eabf0492a5d839b62b - numba === 0.60.0 - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@015211d1f189072f3c8abe3b19ade42dee72e022 - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps@caf4da2f3af80075b484e06e0968a6c8502a3bd9 diff --git a/environments/py-3.10-linux-64.conda.lock.yml b/environments/py-3.10-linux-64.conda.lock.yml index fddd08f2..09d47a00 100644 --- a/environments/py-3.10-linux-64.conda.lock.yml +++ b/environments/py-3.10-linux-64.conda.lock.yml @@ -144,7 +144,7 @@ dependencies: - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@03aa505b3957dd543be737d637760dc77a79bec7 - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@21ce81d279c206ce0a279377168ce50e0a35d3d2 - llvmlite === 0.43.0 - - mira-simpeg @ git+https://github.com/sebhmg/simpeg@b11209edcf2fa290e2efdd67df0d6ec3d6758ea8 + - mira-simpeg @ git+https://github.com/sebhmg/simpeg@e25d50ae14a898e2055112eabf0492a5d839b62b - numba === 0.60.0 - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@015211d1f189072f3c8abe3b19ade42dee72e022 - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps@caf4da2f3af80075b484e06e0968a6c8502a3bd9 diff --git a/environments/py-3.10-win-64-dev.conda.lock.yml b/environments/py-3.10-win-64-dev.conda.lock.yml index 1f7b9feb..5ae17feb 100644 --- a/environments/py-3.10-win-64-dev.conda.lock.yml +++ b/environments/py-3.10-win-64-dev.conda.lock.yml @@ -267,7 +267,7 @@ dependencies: - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@03aa505b3957dd543be737d637760dc77a79bec7 - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@21ce81d279c206ce0a279377168ce50e0a35d3d2 - llvmlite === 0.43.0 - - mira-simpeg @ git+https://github.com/sebhmg/simpeg@b11209edcf2fa290e2efdd67df0d6ec3d6758ea8 + - mira-simpeg @ git+https://github.com/sebhmg/simpeg@e25d50ae14a898e2055112eabf0492a5d839b62b - numba === 0.60.0 - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@015211d1f189072f3c8abe3b19ade42dee72e022 - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps@caf4da2f3af80075b484e06e0968a6c8502a3bd9 diff --git a/environments/py-3.10-win-64.conda.lock.yml b/environments/py-3.10-win-64.conda.lock.yml index 5695fdd5..21d3fb02 100644 --- a/environments/py-3.10-win-64.conda.lock.yml +++ b/environments/py-3.10-win-64.conda.lock.yml @@ -138,7 +138,7 @@ dependencies: - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@03aa505b3957dd543be737d637760dc77a79bec7 - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@21ce81d279c206ce0a279377168ce50e0a35d3d2 - llvmlite === 0.43.0 - - mira-simpeg @ git+https://github.com/sebhmg/simpeg@b11209edcf2fa290e2efdd67df0d6ec3d6758ea8 + - mira-simpeg @ git+https://github.com/sebhmg/simpeg@e25d50ae14a898e2055112eabf0492a5d839b62b - numba === 0.60.0 - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@015211d1f189072f3c8abe3b19ade42dee72e022 - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps@caf4da2f3af80075b484e06e0968a6c8502a3bd9 diff --git a/py-3.10.conda-lock.yml b/py-3.10.conda-lock.yml index 0754870e..7d12392f 100644 --- a/py-3.10.conda-lock.yml +++ b/py-3.10.conda-lock.yml @@ -7623,13 +7623,13 @@ package: pymatsolver: '>=0.2' scikit-learn: '>=1.2' scipy: '>=1.8.0' - url: git+https://github.com/sebhmg/simpeg@b11209edcf2fa290e2efdd67df0d6ec3d6758ea8 + url: git+https://github.com/sebhmg/simpeg@e25d50ae14a898e2055112eabf0492a5d839b62b hash: - sha256: b11209edcf2fa290e2efdd67df0d6ec3d6758ea8 + sha256: e25d50ae14a898e2055112eabf0492a5d839b62b category: main source: type: url - url: git+https://github.com/sebhmg/simpeg@b11209edcf2fa290e2efdd67df0d6ec3d6758ea8 + url: git+https://github.com/sebhmg/simpeg@e25d50ae14a898e2055112eabf0492a5d839b62b optional: false - name: mira-simpeg version: 0.21.2.1a1 @@ -7646,13 +7646,13 @@ package: pymatsolver: '>=0.2' scikit-learn: '>=1.2' scipy: '>=1.8.0' - url: git+https://github.com/sebhmg/simpeg@b11209edcf2fa290e2efdd67df0d6ec3d6758ea8 + url: git+https://github.com/sebhmg/simpeg@e25d50ae14a898e2055112eabf0492a5d839b62b hash: - sha256: b11209edcf2fa290e2efdd67df0d6ec3d6758ea8 + sha256: e25d50ae14a898e2055112eabf0492a5d839b62b category: main source: type: url - url: git+https://github.com/sebhmg/simpeg@b11209edcf2fa290e2efdd67df0d6ec3d6758ea8 + url: git+https://github.com/sebhmg/simpeg@e25d50ae14a898e2055112eabf0492a5d839b62b optional: false - name: numba version: 0.60.0 From 67c64fed1f241600a7a803432767a4f03e751b1c Mon Sep 17 00:00:00 2001 From: sebhmg Date: Fri, 5 Jul 2024 12:43:44 -0400 Subject: [PATCH 056/350] lock on updated mira-simpeg --- .../py-3.10-linux-64-dev.conda.lock.yml | 6 ++-- environments/py-3.10-linux-64.conda.lock.yml | 6 ++-- .../py-3.10-win-64-dev.conda.lock.yml | 6 ++-- environments/py-3.10-win-64.conda.lock.yml | 6 ++-- py-3.10.conda-lock.yml | 28 +++++++++---------- pyproject.toml | 2 +- 6 files changed, 27 insertions(+), 27 deletions(-) diff --git a/environments/py-3.10-linux-64-dev.conda.lock.yml b/environments/py-3.10-linux-64-dev.conda.lock.yml index 4dba6a54..9f803e38 100644 --- a/environments/py-3.10-linux-64-dev.conda.lock.yml +++ b/environments/py-3.10-linux-64-dev.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: 7a6f0edcf5944f55af2d370e722e84807edddc7e7ad9002c727cc4638e67fd1a +# input_hash: 97e1161f963e472c1ecf90b2961bb2af20a2d0ee1ca7a0eecd0f669e72331660 channels: - conda-forge @@ -272,10 +272,10 @@ dependencies: - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@03aa505b3957dd543be737d637760dc77a79bec7 - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@21ce81d279c206ce0a279377168ce50e0a35d3d2 - llvmlite === 0.43.0 - - mira-simpeg @ git+https://github.com/sebhmg/simpeg@e25d50ae14a898e2055112eabf0492a5d839b62b + - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg@b643f1cb9a9fee76b5e4bd7ed4f1b7a65d1646ec - numba === 0.60.0 - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@015211d1f189072f3c8abe3b19ade42dee72e022 - - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps@caf4da2f3af80075b484e06e0968a6c8502a3bd9 + - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps@13c05a3d90fcf2bc37f4d752affbda277c61b8b0 - scooby === 0.10.0 variables: diff --git a/environments/py-3.10-linux-64.conda.lock.yml b/environments/py-3.10-linux-64.conda.lock.yml index 09d47a00..011ef5d4 100644 --- a/environments/py-3.10-linux-64.conda.lock.yml +++ b/environments/py-3.10-linux-64.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: 7a6f0edcf5944f55af2d370e722e84807edddc7e7ad9002c727cc4638e67fd1a +# input_hash: 97e1161f963e472c1ecf90b2961bb2af20a2d0ee1ca7a0eecd0f669e72331660 channels: - conda-forge @@ -144,10 +144,10 @@ dependencies: - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@03aa505b3957dd543be737d637760dc77a79bec7 - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@21ce81d279c206ce0a279377168ce50e0a35d3d2 - llvmlite === 0.43.0 - - mira-simpeg @ git+https://github.com/sebhmg/simpeg@e25d50ae14a898e2055112eabf0492a5d839b62b + - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg@b643f1cb9a9fee76b5e4bd7ed4f1b7a65d1646ec - numba === 0.60.0 - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@015211d1f189072f3c8abe3b19ade42dee72e022 - - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps@caf4da2f3af80075b484e06e0968a6c8502a3bd9 + - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps@13c05a3d90fcf2bc37f4d752affbda277c61b8b0 - scooby === 0.10.0 variables: diff --git a/environments/py-3.10-win-64-dev.conda.lock.yml b/environments/py-3.10-win-64-dev.conda.lock.yml index 5ae17feb..cdb50ecf 100644 --- a/environments/py-3.10-win-64-dev.conda.lock.yml +++ b/environments/py-3.10-win-64-dev.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: 70b07a66ca4b24914bc2b238cb8341f48e0a0ab64d19e93ed59e1faa0de8a9f9 +# input_hash: 2ac856d75349be73fee8fd04d6cc839a17e92d908f5267f6eb25407958130b95 channels: - conda-forge @@ -267,10 +267,10 @@ dependencies: - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@03aa505b3957dd543be737d637760dc77a79bec7 - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@21ce81d279c206ce0a279377168ce50e0a35d3d2 - llvmlite === 0.43.0 - - mira-simpeg @ git+https://github.com/sebhmg/simpeg@e25d50ae14a898e2055112eabf0492a5d839b62b + - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg@b643f1cb9a9fee76b5e4bd7ed4f1b7a65d1646ec - numba === 0.60.0 - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@015211d1f189072f3c8abe3b19ade42dee72e022 - - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps@caf4da2f3af80075b484e06e0968a6c8502a3bd9 + - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps@13c05a3d90fcf2bc37f4d752affbda277c61b8b0 - scooby === 0.10.0 variables: diff --git a/environments/py-3.10-win-64.conda.lock.yml b/environments/py-3.10-win-64.conda.lock.yml index 21d3fb02..f4792f42 100644 --- a/environments/py-3.10-win-64.conda.lock.yml +++ b/environments/py-3.10-win-64.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: 70b07a66ca4b24914bc2b238cb8341f48e0a0ab64d19e93ed59e1faa0de8a9f9 +# input_hash: 2ac856d75349be73fee8fd04d6cc839a17e92d908f5267f6eb25407958130b95 channels: - conda-forge @@ -138,10 +138,10 @@ dependencies: - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@03aa505b3957dd543be737d637760dc77a79bec7 - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@21ce81d279c206ce0a279377168ce50e0a35d3d2 - llvmlite === 0.43.0 - - mira-simpeg @ git+https://github.com/sebhmg/simpeg@e25d50ae14a898e2055112eabf0492a5d839b62b + - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg@b643f1cb9a9fee76b5e4bd7ed4f1b7a65d1646ec - numba === 0.60.0 - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@015211d1f189072f3c8abe3b19ade42dee72e022 - - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps@caf4da2f3af80075b484e06e0968a6c8502a3bd9 + - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps@13c05a3d90fcf2bc37f4d752affbda277c61b8b0 - scooby === 0.10.0 variables: diff --git a/py-3.10.conda-lock.yml b/py-3.10.conda-lock.yml index 7d12392f..1d0e4ceb 100644 --- a/py-3.10.conda-lock.yml +++ b/py-3.10.conda-lock.yml @@ -15,8 +15,8 @@ version: 1 metadata: content_hash: - win-64: 70b07a66ca4b24914bc2b238cb8341f48e0a0ab64d19e93ed59e1faa0de8a9f9 - linux-64: 7a6f0edcf5944f55af2d370e722e84807edddc7e7ad9002c727cc4638e67fd1a + win-64: 2ac856d75349be73fee8fd04d6cc839a17e92d908f5267f6eb25407958130b95 + linux-64: 97e1161f963e472c1ecf90b2961bb2af20a2d0ee1ca7a0eecd0f669e72331660 channels: - url: conda-forge used_env_vars: [] @@ -7623,13 +7623,13 @@ package: pymatsolver: '>=0.2' scikit-learn: '>=1.2' scipy: '>=1.8.0' - url: git+https://github.com/sebhmg/simpeg@e25d50ae14a898e2055112eabf0492a5d839b62b + url: git+https://github.com/MiraGeoscience/simpeg@b643f1cb9a9fee76b5e4bd7ed4f1b7a65d1646ec hash: - sha256: e25d50ae14a898e2055112eabf0492a5d839b62b + sha256: b643f1cb9a9fee76b5e4bd7ed4f1b7a65d1646ec category: main source: type: url - url: git+https://github.com/sebhmg/simpeg@e25d50ae14a898e2055112eabf0492a5d839b62b + url: git+https://github.com/MiraGeoscience/simpeg@b643f1cb9a9fee76b5e4bd7ed4f1b7a65d1646ec optional: false - name: mira-simpeg version: 0.21.2.1a1 @@ -7646,13 +7646,13 @@ package: pymatsolver: '>=0.2' scikit-learn: '>=1.2' scipy: '>=1.8.0' - url: git+https://github.com/sebhmg/simpeg@e25d50ae14a898e2055112eabf0492a5d839b62b + url: git+https://github.com/MiraGeoscience/simpeg@b643f1cb9a9fee76b5e4bd7ed4f1b7a65d1646ec hash: - sha256: e25d50ae14a898e2055112eabf0492a5d839b62b + sha256: b643f1cb9a9fee76b5e4bd7ed4f1b7a65d1646ec category: main source: type: url - url: git+https://github.com/sebhmg/simpeg@e25d50ae14a898e2055112eabf0492a5d839b62b + url: git+https://github.com/MiraGeoscience/simpeg@b643f1cb9a9fee76b5e4bd7ed4f1b7a65d1646ec optional: false - name: numba version: 0.60.0 @@ -7727,13 +7727,13 @@ package: dependencies: geoh5py: '>=0.9.1,<0.11' numpy: '>=1.26.0,<1.27.0' - url: git+https://github.com/MiraGeoscience/param-sweeps@caf4da2f3af80075b484e06e0968a6c8502a3bd9 + url: git+https://github.com/MiraGeoscience/param-sweeps@13c05a3d90fcf2bc37f4d752affbda277c61b8b0 hash: - sha256: caf4da2f3af80075b484e06e0968a6c8502a3bd9 + sha256: 13c05a3d90fcf2bc37f4d752affbda277c61b8b0 category: main source: type: url - url: git+https://github.com/MiraGeoscience/param-sweeps@caf4da2f3af80075b484e06e0968a6c8502a3bd9 + url: git+https://github.com/MiraGeoscience/param-sweeps@13c05a3d90fcf2bc37f4d752affbda277c61b8b0 optional: false - name: param-sweeps version: 0.1.8a1 @@ -7742,13 +7742,13 @@ package: dependencies: geoh5py: '>=0.9.1,<0.11' numpy: '>=1.26.0,<1.27.0' - url: git+https://github.com/MiraGeoscience/param-sweeps@caf4da2f3af80075b484e06e0968a6c8502a3bd9 + url: git+https://github.com/MiraGeoscience/param-sweeps@13c05a3d90fcf2bc37f4d752affbda277c61b8b0 hash: - sha256: caf4da2f3af80075b484e06e0968a6c8502a3bd9 + sha256: 13c05a3d90fcf2bc37f4d752affbda277c61b8b0 category: main source: type: url - url: git+https://github.com/MiraGeoscience/param-sweeps@caf4da2f3af80075b484e06e0968a6c8502a3bd9 + url: git+https://github.com/MiraGeoscience/param-sweeps@13c05a3d90fcf2bc37f4d752affbda277c61b8b0 optional: false - name: scooby version: 0.10.0 diff --git a/pyproject.toml b/pyproject.toml index e152ad3f..747f3c5d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -56,7 +56,7 @@ geoapps-utils = {git = "https://github.com/MiraGeoscience/geoapps-utils.git", re #mira-simpeg = {version = ">=0.21.2.1-alpha.1, <0.21.2.2.dev", source = "pypi", allow-prereleases = true} #mira-simpeg = {url = "https://github.com/MiraGeoscience/simpeg/archive/refs/heads/develop.tar.gz"} #mira-simpeg = {git = "https://github.com/MiraGeoscience/simpeg.git", rev = "develop"} -mira-simpeg = {git = "https://github.com/sebhmg/simpeg.git", rev = "GEOPY-1617"} +mira-simpeg = {git = "https://github.com/MiraGeoscience/simpeg.git", rev = "develop"} #mira-simpeg = {url = "http://localhost:8888/mira-simpeg.tar.gz"} #param-sweeps = {version = "~0.1.8-alpha.1", source = "pypi", allow-prereleases = true} From 4244fca06062884eee8bceb9d38dc2816c3828ec Mon Sep 17 00:00:00 2001 From: sebhmg Date: Fri, 5 Jul 2024 14:40:13 -0400 Subject: [PATCH 057/350] align matplotlib version on the used by geoapps --- .../py-3.10-linux-64-dev.conda.lock.yml | 6 +-- environments/py-3.10-linux-64.conda.lock.yml | 6 +-- .../py-3.10-win-64-dev.conda.lock.yml | 6 +-- environments/py-3.10-win-64.conda.lock.yml | 6 +-- py-3.10.conda-lock.yml | 46 +++++++++---------- pyproject.toml | 2 +- 6 files changed, 36 insertions(+), 36 deletions(-) diff --git a/environments/py-3.10-linux-64-dev.conda.lock.yml b/environments/py-3.10-linux-64-dev.conda.lock.yml index 9f803e38..13aecddd 100644 --- a/environments/py-3.10-linux-64-dev.conda.lock.yml +++ b/environments/py-3.10-linux-64-dev.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: 97e1161f963e472c1ecf90b2961bb2af20a2d0ee1ca7a0eecd0f669e72331660 +# input_hash: d3c842b6970c0b57e3afef73e72763dbca0f1df75e75d566c4f3dc4ae61e5ea4 channels: - conda-forge @@ -132,7 +132,7 @@ dependencies: - locket=1.0.0=pyhd8ed1ab_0 - markdown-it-py=2.2.0=pyhd8ed1ab_0 - markupsafe=2.1.5=py310h2372a71_0 - - matplotlib-base=3.7.3=py310h62c0568_0 + - matplotlib-base=3.8.4=py310hef631a5_2 - matplotlib-inline=0.1.7=pyhd8ed1ab_0 - mccabe=0.7.0=pyhd8ed1ab_0 - mdit-py-plugins=0.4.1=pyhd8ed1ab_0 @@ -274,7 +274,7 @@ dependencies: - llvmlite === 0.43.0 - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg@b643f1cb9a9fee76b5e4bd7ed4f1b7a65d1646ec - numba === 0.60.0 - - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@015211d1f189072f3c8abe3b19ade42dee72e022 + - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@8b0749e6797c393aaa0d79e34ee199708f448175 - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps@13c05a3d90fcf2bc37f4d752affbda277c61b8b0 - scooby === 0.10.0 diff --git a/environments/py-3.10-linux-64.conda.lock.yml b/environments/py-3.10-linux-64.conda.lock.yml index 011ef5d4..a0c71f09 100644 --- a/environments/py-3.10-linux-64.conda.lock.yml +++ b/environments/py-3.10-linux-64.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: 97e1161f963e472c1ecf90b2961bb2af20a2d0ee1ca7a0eecd0f669e72331660 +# input_hash: d3c842b6970c0b57e3afef73e72763dbca0f1df75e75d566c4f3dc4ae61e5ea4 channels: - conda-forge @@ -82,7 +82,7 @@ dependencies: - llvm-openmp=18.1.8=hf5423f3_0 - locket=1.0.0=pyhd8ed1ab_0 - markupsafe=2.1.5=py310h2372a71_0 - - matplotlib-base=3.7.3=py310h62c0568_0 + - matplotlib-base=3.8.4=py310hef631a5_2 - mkl=2023.2.0=h84fe81f_50496 - msgpack-python=1.0.8=py310h25c7140_0 - munkres=1.1.4=pyh9f0ad1d_0 @@ -146,7 +146,7 @@ dependencies: - llvmlite === 0.43.0 - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg@b643f1cb9a9fee76b5e4bd7ed4f1b7a65d1646ec - numba === 0.60.0 - - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@015211d1f189072f3c8abe3b19ade42dee72e022 + - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@8b0749e6797c393aaa0d79e34ee199708f448175 - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps@13c05a3d90fcf2bc37f4d752affbda277c61b8b0 - scooby === 0.10.0 diff --git a/environments/py-3.10-win-64-dev.conda.lock.yml b/environments/py-3.10-win-64-dev.conda.lock.yml index cdb50ecf..6578ce9c 100644 --- a/environments/py-3.10-win-64-dev.conda.lock.yml +++ b/environments/py-3.10-win-64-dev.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: 2ac856d75349be73fee8fd04d6cc839a17e92d908f5267f6eb25407958130b95 +# input_hash: 188814954c9e3b5e0dc1d30d8c7cba5794cc18d0783cb07936349589ac9eca54 channels: - conda-forge @@ -121,7 +121,7 @@ dependencies: - m2w64-libwinpthread-git=5.0.0.4634.697f757=2 - markdown-it-py=2.2.0=pyhd8ed1ab_0 - markupsafe=2.1.5=py310h8d17308_0 - - matplotlib-base=3.7.3=py310hc9baf74_0 + - matplotlib-base=3.8.4=py310hadb10a8_2 - matplotlib-inline=0.1.7=pyhd8ed1ab_0 - mccabe=0.7.0=pyhd8ed1ab_0 - mdit-py-plugins=0.4.1=pyhd8ed1ab_0 @@ -269,7 +269,7 @@ dependencies: - llvmlite === 0.43.0 - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg@b643f1cb9a9fee76b5e4bd7ed4f1b7a65d1646ec - numba === 0.60.0 - - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@015211d1f189072f3c8abe3b19ade42dee72e022 + - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@8b0749e6797c393aaa0d79e34ee199708f448175 - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps@13c05a3d90fcf2bc37f4d752affbda277c61b8b0 - scooby === 0.10.0 diff --git a/environments/py-3.10-win-64.conda.lock.yml b/environments/py-3.10-win-64.conda.lock.yml index f4792f42..0a6c3251 100644 --- a/environments/py-3.10-win-64.conda.lock.yml +++ b/environments/py-3.10-win-64.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: 2ac856d75349be73fee8fd04d6cc839a17e92d908f5267f6eb25407958130b95 +# input_hash: 188814954c9e3b5e0dc1d30d8c7cba5794cc18d0783cb07936349589ac9eca54 channels: - conda-forge @@ -71,7 +71,7 @@ dependencies: - m2w64-gmp=6.1.0=2 - m2w64-libwinpthread-git=5.0.0.4634.697f757=2 - markupsafe=2.1.5=py310h8d17308_0 - - matplotlib-base=3.7.3=py310hc9baf74_0 + - matplotlib-base=3.8.4=py310hadb10a8_2 - mkl=2023.2.0=h6a75c08_50497 - msgpack-python=1.0.8=py310hc19bc0b_0 - msys2-conda-epoch=20160418=1 @@ -140,7 +140,7 @@ dependencies: - llvmlite === 0.43.0 - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg@b643f1cb9a9fee76b5e4bd7ed4f1b7a65d1646ec - numba === 0.60.0 - - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@015211d1f189072f3c8abe3b19ade42dee72e022 + - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@8b0749e6797c393aaa0d79e34ee199708f448175 - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps@13c05a3d90fcf2bc37f4d752affbda277c61b8b0 - scooby === 0.10.0 diff --git a/py-3.10.conda-lock.yml b/py-3.10.conda-lock.yml index 1d0e4ceb..8f527d50 100644 --- a/py-3.10.conda-lock.yml +++ b/py-3.10.conda-lock.yml @@ -15,8 +15,8 @@ version: 1 metadata: content_hash: - win-64: 2ac856d75349be73fee8fd04d6cc839a17e92d908f5267f6eb25407958130b95 - linux-64: 97e1161f963e472c1ecf90b2961bb2af20a2d0ee1ca7a0eecd0f669e72331660 + win-64: 188814954c9e3b5e0dc1d30d8c7cba5794cc18d0783cb07936349589ac9eca54 + linux-64: d3c842b6970c0b57e3afef73e72763dbca0f1df75e75d566c4f3dc4ae61e5ea4 channels: - url: conda-forge used_env_vars: [] @@ -3526,7 +3526,7 @@ package: category: main optional: false - name: matplotlib-base - version: 3.7.3 + version: 3.8.4 manager: conda platform: linux-64 dependencies: @@ -3535,25 +3535,25 @@ package: cycler: '>=0.10' fonttools: '>=4.22.0' freetype: '>=2.12.1,<3.0a0' - kiwisolver: '>=1.0.1' + kiwisolver: '>=1.3.1' libgcc-ng: '>=12' libstdcxx-ng: '>=12' - numpy: '>=1.22.4,<2.0a0' + numpy: '>=1.21' packaging: '>=20.0' - pillow: '>=6.2.0' + pillow: '>=8' pyparsing: '>=2.3.1' python: '>=3.10,<3.11.0a0' python-dateutil: '>=2.7' python_abi: 3.10.* - tk: '>=8.6.12,<8.7.0a0' - url: https://conda.anaconda.org/conda-forge/linux-64/matplotlib-base-3.7.3-py310h62c0568_0.conda + tk: '>=8.6.13,<8.7.0a0' + url: https://conda.anaconda.org/conda-forge/linux-64/matplotlib-base-3.8.4-py310hef631a5_2.conda hash: - md5: 15a0409bc579d80e67715f1ce5d864a2 - sha256: 5e60c8ab40fa69f9bb665d8dee53650fc5554edb1193cb5313589c788b7f1af2 + md5: b3fa3fc2a0fa8b53b913c94297b12e27 + sha256: 5733c68ff72a04a42d8363965155d4b27a1ed3364a507b8cac582c0b4881d222 category: main optional: false - name: matplotlib-base - version: 3.7.3 + version: 3.8.4 manager: conda platform: win-64 dependencies: @@ -3562,10 +3562,10 @@ package: cycler: '>=0.10' fonttools: '>=4.22.0' freetype: '>=2.12.1,<3.0a0' - kiwisolver: '>=1.0.1' - numpy: '>=1.22.4,<2.0a0' + kiwisolver: '>=1.3.1' + numpy: '>=1.21' packaging: '>=20.0' - pillow: '>=6.2.0' + pillow: '>=8' pyparsing: '>=2.3.1' python: '>=3.10,<3.11.0a0' python-dateutil: '>=2.7' @@ -3573,10 +3573,10 @@ package: ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vc14_runtime: '>=14.29.30139' - url: https://conda.anaconda.org/conda-forge/win-64/matplotlib-base-3.7.3-py310hc9baf74_0.conda + url: https://conda.anaconda.org/conda-forge/win-64/matplotlib-base-3.8.4-py310hadb10a8_2.conda hash: - md5: b8452c3adde5873f2d430381d515529b - sha256: b33df121d3c06700ab6046108aedbeda5e6b97f402903979df684f714c866db1 + md5: 8f5e26aa64ab245691efb7f87c584060 + sha256: bc3ecb8e9f68fd1b4214e223f08e94d8f88e6fdc237dc0e86efcb9f090737e96 category: main optional: false - name: matplotlib-inline @@ -7691,13 +7691,13 @@ package: numpy: '>=1.26.0,<1.27.0' pydantic: '>=2.5.2,<3.0.0' scipy: '>=1.14.0,<1.15.0' - url: git+https://github.com/MiraGeoscience/octree-creation-app@015211d1f189072f3c8abe3b19ade42dee72e022 + url: git+https://github.com/MiraGeoscience/octree-creation-app@8b0749e6797c393aaa0d79e34ee199708f448175 hash: - sha256: 015211d1f189072f3c8abe3b19ade42dee72e022 + sha256: 8b0749e6797c393aaa0d79e34ee199708f448175 category: main source: type: url - url: git+https://github.com/MiraGeoscience/octree-creation-app@015211d1f189072f3c8abe3b19ade42dee72e022 + url: git+https://github.com/MiraGeoscience/octree-creation-app@8b0749e6797c393aaa0d79e34ee199708f448175 optional: false - name: octree-creation-app version: 0.2.0a1 @@ -7712,13 +7712,13 @@ package: numpy: '>=1.26.0,<1.27.0' pydantic: '>=2.5.2,<3.0.0' scipy: '>=1.14.0,<1.15.0' - url: git+https://github.com/MiraGeoscience/octree-creation-app@015211d1f189072f3c8abe3b19ade42dee72e022 + url: git+https://github.com/MiraGeoscience/octree-creation-app@8b0749e6797c393aaa0d79e34ee199708f448175 hash: - sha256: 015211d1f189072f3c8abe3b19ade42dee72e022 + sha256: 8b0749e6797c393aaa0d79e34ee199708f448175 category: main source: type: url - url: git+https://github.com/MiraGeoscience/octree-creation-app@015211d1f189072f3c8abe3b19ade42dee72e022 + url: git+https://github.com/MiraGeoscience/octree-creation-app@8b0749e6797c393aaa0d79e34ee199708f448175 optional: false - name: param-sweeps version: 0.1.8a1 diff --git a/pyproject.toml b/pyproject.toml index 747f3c5d..341367d6 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -70,7 +70,7 @@ Pillow = "~10.3.0" # from geoh5py fsspec = "2022.*" # from simpeg[dask] geoana = "~0.5.0" # from simpeg h5py = "^3.2.1" # from geoh5py -matplotlib = "~3.7.1" # from simpeg +matplotlib = "~3.8.4" # from simpeg mkl = "2023.2.*" # from simpeg pandas = "~2.2.1" # from SimPEG, also used by targeting-workflow, petro-lingo pydantic = "^2.5.2" # from geoh5py From 804ef4660e3fe48f18c1b8373bcf1ca31cececba Mon Sep 17 00:00:00 2001 From: sebhmg Date: Fri, 5 Jul 2024 15:52:24 -0400 Subject: [PATCH 058/350] force mkl to a version available in both conda and pypi --- environments/py-3.10-linux-64-dev.conda.lock.yml | 2 +- environments/py-3.10-linux-64.conda.lock.yml | 2 +- environments/py-3.10-win-64-dev.conda.lock.yml | 2 +- environments/py-3.10-win-64.conda.lock.yml | 2 +- py-3.10.conda-lock.yml | 4 ++-- pyproject.toml | 2 +- 6 files changed, 7 insertions(+), 7 deletions(-) diff --git a/environments/py-3.10-linux-64-dev.conda.lock.yml b/environments/py-3.10-linux-64-dev.conda.lock.yml index 13aecddd..328b23b4 100644 --- a/environments/py-3.10-linux-64-dev.conda.lock.yml +++ b/environments/py-3.10-linux-64-dev.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: d3c842b6970c0b57e3afef73e72763dbca0f1df75e75d566c4f3dc4ae61e5ea4 +# input_hash: 276b32454c7b04e5308820bf518dac11c9a5658db04e64529a4a7f6ecb55627b channels: - conda-forge diff --git a/environments/py-3.10-linux-64.conda.lock.yml b/environments/py-3.10-linux-64.conda.lock.yml index a0c71f09..d7060f4d 100644 --- a/environments/py-3.10-linux-64.conda.lock.yml +++ b/environments/py-3.10-linux-64.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: d3c842b6970c0b57e3afef73e72763dbca0f1df75e75d566c4f3dc4ae61e5ea4 +# input_hash: 276b32454c7b04e5308820bf518dac11c9a5658db04e64529a4a7f6ecb55627b channels: - conda-forge diff --git a/environments/py-3.10-win-64-dev.conda.lock.yml b/environments/py-3.10-win-64-dev.conda.lock.yml index 6578ce9c..1c3ebf5a 100644 --- a/environments/py-3.10-win-64-dev.conda.lock.yml +++ b/environments/py-3.10-win-64-dev.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: 188814954c9e3b5e0dc1d30d8c7cba5794cc18d0783cb07936349589ac9eca54 +# input_hash: 5934581a21fc6e45b68bca653a7d43bbd2d7afe9891685cab40f95fe5425c98f channels: - conda-forge diff --git a/environments/py-3.10-win-64.conda.lock.yml b/environments/py-3.10-win-64.conda.lock.yml index 0a6c3251..29103628 100644 --- a/environments/py-3.10-win-64.conda.lock.yml +++ b/environments/py-3.10-win-64.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: 188814954c9e3b5e0dc1d30d8c7cba5794cc18d0783cb07936349589ac9eca54 +# input_hash: 5934581a21fc6e45b68bca653a7d43bbd2d7afe9891685cab40f95fe5425c98f channels: - conda-forge diff --git a/py-3.10.conda-lock.yml b/py-3.10.conda-lock.yml index 8f527d50..3beef25c 100644 --- a/py-3.10.conda-lock.yml +++ b/py-3.10.conda-lock.yml @@ -15,8 +15,8 @@ version: 1 metadata: content_hash: - win-64: 188814954c9e3b5e0dc1d30d8c7cba5794cc18d0783cb07936349589ac9eca54 - linux-64: d3c842b6970c0b57e3afef73e72763dbca0f1df75e75d566c4f3dc4ae61e5ea4 + win-64: 5934581a21fc6e45b68bca653a7d43bbd2d7afe9891685cab40f95fe5425c98f + linux-64: 276b32454c7b04e5308820bf518dac11c9a5658db04e64529a4a7f6ecb55627b channels: - url: conda-forge used_env_vars: [] diff --git a/pyproject.toml b/pyproject.toml index 341367d6..a85e6df6 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -71,7 +71,7 @@ fsspec = "2022.*" # from simpeg[dask] geoana = "~0.5.0" # from simpeg h5py = "^3.2.1" # from geoh5py matplotlib = "~3.8.4" # from simpeg -mkl = "2023.2.*" # from simpeg +mkl = "2023.2.0" # from simpeg pandas = "~2.2.1" # from SimPEG, also used by targeting-workflow, petro-lingo pydantic = "^2.5.2" # from geoh5py pydiso = "~0.0.5" # from simpeg From b3fed4d3f53ede373ac200c40de45cfd9625e0ab Mon Sep 17 00:00:00 2001 From: sebhmg Date: Fri, 5 Jul 2024 16:39:53 -0400 Subject: [PATCH 059/350] minor comment update --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index a85e6df6..27f8031f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -73,7 +73,7 @@ h5py = "^3.2.1" # from geoh5py matplotlib = "~3.8.4" # from simpeg mkl = "2023.2.0" # from simpeg pandas = "~2.2.1" # from SimPEG, also used by targeting-workflow, petro-lingo -pydantic = "^2.5.2" # from geoh5py +pydantic = "^2.5.2" # from geoh5py, geoapps-utils pydiso = "~0.0.5" # from simpeg pymatsolver = "~0.2.0" # from simpeg scikit-learn = "~1.4.0" # from SimPEG, also used by geo-unsup-mapper, petro-lingo From c8df8b7a9561c5b058e2c6271c84755a1f89308a Mon Sep 17 00:00:00 2001 From: sebhmg Date: Fri, 5 Jul 2024 17:32:43 -0400 Subject: [PATCH 060/350] (minor) remove duplicated commented line --- pyproject.toml | 1 - 1 file changed, 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 27f8031f..1acb7267 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -55,7 +55,6 @@ geoapps-utils = {git = "https://github.com/MiraGeoscience/geoapps-utils.git", re #mira-simpeg = {version = ">=0.21.2.1-alpha.1, <0.21.2.2.dev", source = "pypi", allow-prereleases = true} #mira-simpeg = {url = "https://github.com/MiraGeoscience/simpeg/archive/refs/heads/develop.tar.gz"} -#mira-simpeg = {git = "https://github.com/MiraGeoscience/simpeg.git", rev = "develop"} mira-simpeg = {git = "https://github.com/MiraGeoscience/simpeg.git", rev = "develop"} #mira-simpeg = {url = "http://localhost:8888/mira-simpeg.tar.gz"} From 2c9a646483cf47a68af1f7d482614802c477710b Mon Sep 17 00:00:00 2001 From: sebhmg Date: Wed, 10 Jul 2024 10:31:47 -0400 Subject: [PATCH 061/350] GEOPY-1636: restrict to Python 3.10 due to PySide2 from geoapps-utils --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 1acb7267..df804b9d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -27,7 +27,7 @@ include = [ ] [tool.poetry.dependencies] -python = "^3.10" +python = "^3.10, <3.11" # limited to 3.10 because of geoapps-utils (due to PySide2) dask = {version = "2022.10.*", extras = ["distributed"]} # also in simpeg[dask] discretize = "~0.10.0" # also in simpeg, octree-creation-app From 211fd1b9172b5bd75441d80317a1d43d612b344d Mon Sep 17 00:00:00 2001 From: sebhmg Date: Wed, 10 Jul 2024 10:48:17 -0400 Subject: [PATCH 062/350] GEOPY-1636: bump dask to 2024.6.* --- .../py-3.10-linux-64-dev.conda.lock.yml | 64 +- environments/py-3.10-linux-64.conda.lock.yml | 25 +- .../py-3.10-win-64-dev.conda.lock.yml | 64 +- environments/py-3.10-win-64.conda.lock.yml | 25 +- py-3.10.conda-lock.yml | 1264 ++++++++++++----- pyproject.toml | 4 +- 6 files changed, 1063 insertions(+), 383 deletions(-) diff --git a/environments/py-3.10-linux-64-dev.conda.lock.yml b/environments/py-3.10-linux-64-dev.conda.lock.yml index 328b23b4..822f7513 100644 --- a/environments/py-3.10-linux-64-dev.conda.lock.yml +++ b/environments/py-3.10-linux-64-dev.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: 276b32454c7b04e5308820bf518dac11c9a5658db04e64529a4a7f6ecb55627b +# input_hash: 9b23c663896613e832422d24b82b319596718068d50293595d57ef545469342d channels: - conda-forge @@ -10,12 +10,14 @@ dependencies: - accessible-pygments=0.0.5=pyhd8ed1ab_0 - alabaster=0.7.16=pyhd8ed1ab_0 - annotated-types=0.7.0=pyhd8ed1ab_0 - - anyio=3.7.1=pyhd8ed1ab_0 + - anyio=4.4.0=pyhd8ed1ab_0 - argon2-cffi=23.1.0=pyhd8ed1ab_0 - argon2-cffi-bindings=21.2.0=py310h2372a71_4 + - arrow=1.3.0=pyhd8ed1ab_0 - asciitree=0.3.3=py_2 - astroid=3.2.2=py310hff52083_0 - asttokens=2.4.1=pyhd8ed1ab_0 + - async-lru=2.0.4=pyhd8ed1ab_0 - attrs=23.2.0=pyh71513ae_0 - babel=2.14.0=pyhd8ed1ab_0 - beautifulsoup4=4.12.3=pyha770c72_0 @@ -28,7 +30,7 @@ dependencies: - ca-certificates=2024.7.4=hbcca054_0 - cached-property=1.5.2=hd8ed1ab_1 - cached_property=1.5.2=pyha770c72_1 - - certifi=2024.6.2=pyhd8ed1ab_0 + - certifi=2024.7.4=pyhd8ed1ab_0 - cffi=1.16.0=py310h2fee648_0 - charset-normalizer=3.3.2=pyhd8ed1ab_0 - click=8.1.7=unix_pyh707e725_0 @@ -39,28 +41,32 @@ dependencies: - coverage=7.5.4=py310hc51659f_0 - cycler=0.12.1=pyhd8ed1ab_0 - cytoolz=0.12.3=py310h2372a71_0 - - dask-core=2022.10.2=pyhd8ed1ab_0 + - dask-core=2024.6.2=pyhd8ed1ab_0 - dataclasses=0.8=pyhc8e2a94_3 - debugpy=1.8.2=py310h76e45a6_0 - decorator=5.1.1=pyhd8ed1ab_0 - defusedxml=0.7.1=pyhd8ed1ab_0 - dill=0.3.8=pyhd8ed1ab_0 - discretize=0.10.0=py310hcb52e73_1 - - distributed=2022.10.2=pyhd8ed1ab_0 + - distributed=2024.6.2=pyhd8ed1ab_0 - docutils=0.18.1=py310hff52083_1 - entrypoints=0.4=pyhd8ed1ab_0 - exceptiongroup=1.2.0=pyhd8ed1ab_2 - executing=2.0.1=pyhd8ed1ab_0 - fasteners=0.17.3=pyhd8ed1ab_0 - - fonttools=4.53.0=py310hc51659f_0 + - fonttools=4.53.1=py310h5b4e0ec_0 + - fqdn=1.5.1=pyhd8ed1ab_0 - freetype=2.12.1=h267a509_2 - fsspec=2022.11.0=pyhd8ed1ab_0 - geoana=0.5.0=py310hcb52e73_4 - greenlet=3.0.3=py310hc6cd4ac_0 + - h11=0.14.0=pyhd8ed1ab_0 - h2=4.1.0=pyhd8ed1ab_0 - h5py=3.11.0=nompi_py310hf054cd7_102 - hdf5=1.14.3=nompi_hdf9ad27_105 - hpack=4.0.0=pyh9f0ad1d_0 + - httpcore=1.0.5=pyhd8ed1ab_0 + - httpx=0.27.0=pyhd8ed1ab_0 - hyperframe=6.0.1=pyhd8ed1ab_0 - icu=73.2=h59595ed_0 - idna=3.7=pyhd8ed1ab_0 @@ -72,20 +78,29 @@ dependencies: - ipykernel=6.29.5=pyh3099207_0 - ipython=8.26.0=pyh707e725_0 - ipython_genutils=0.2.0=pyhd8ed1ab_1 - - ipywidgets=7.8.0=pyhd8ed1ab_0 + - ipywidgets=7.8.2=pyhd8ed1ab_0 + - isoduration=20.11.0=pyhd8ed1ab_0 - isort=5.13.2=pyhd8ed1ab_0 - jedi=0.19.1=pyhd8ed1ab_0 - jinja2=3.1.4=pyhd8ed1ab_0 - joblib=1.4.2=pyhd8ed1ab_0 - - jsonschema=4.22.0=pyhd8ed1ab_0 + - json5=0.9.25=pyhd8ed1ab_0 + - jsonpointer=3.0.0=py310hff52083_0 + - jsonschema=4.23.0=pyhd8ed1ab_0 - jsonschema-specifications=2023.12.1=pyhd8ed1ab_0 + - jsonschema-with-format-nongpl=4.23.0=hd8ed1ab_0 - jupyter-book=0.15.1=pyhd8ed1ab_0 - jupyter-cache=0.6.1=pyhd8ed1ab_0 - - jupyter_client=7.3.4=pyhd8ed1ab_0 + - jupyter-lsp=2.2.5=pyhd8ed1ab_0 + - jupyter_client=8.6.2=pyhd8ed1ab_0 - jupyter_core=5.7.2=py310hff52083_0 - - jupyter_server=1.24.0=pyhd8ed1ab_0 + - jupyter_events=0.10.0=pyhd8ed1ab_0 + - jupyter_server=2.14.1=pyhd8ed1ab_1 + - jupyter_server_terminals=0.5.3=pyhd8ed1ab_0 + - jupyterlab=4.2.3=pyhd8ed1ab_0 - jupyterlab_pygments=0.3.0=pyhd8ed1ab_1 - - jupyterlab_widgets=1.1.7=pyhd8ed1ab_0 + - jupyterlab_server=2.27.2=pyhd8ed1ab_0 + - jupyterlab_widgets=1.1.8=pyhd8ed1ab_0 - jupytext=1.16.2=pyhd8ed1ab_1 - keyutils=1.6.1=h166bdaf_0 - kiwisolver=1.4.5=py310hd41b1e2_1 @@ -143,7 +158,6 @@ dependencies: - munkres=1.1.4=pyh9f0ad1d_0 - myst-nb=0.17.2=pyhd8ed1ab_0 - myst-parser=0.18.1=pyhd8ed1ab_0 - - nbclassic=1.1.0=pyhd8ed1ab_0 - nbclient=0.7.4=pyhd8ed1ab_0 - nbconvert=7.16.4=hd8ed1ab_1 - nbconvert-core=7.16.4=pyhd8ed1ab_1 @@ -151,12 +165,13 @@ dependencies: - nbformat=5.10.4=pyhd8ed1ab_0 - ncurses=6.5=h59595ed_0 - nest-asyncio=1.6.0=pyhd8ed1ab_0 - - notebook=6.5.7=pyha770c72_0 + - notebook=7.2.1=pyhd8ed1ab_0 - notebook-shim=0.2.4=pyhd8ed1ab_0 - numcodecs=0.12.1=py310h76e45a6_1 - numpy=1.26.4=py310hb13e2d6_0 - openjpeg=2.5.2=h488ebb8_0 - openssl=3.3.1=h4ab18f5_1 + - overrides=7.7.0=pyhd8ed1ab_0 - packaging=24.1=pyhd8ed1ab_0 - pandas=2.2.2=py310hf9f9076_1 - pandoc=3.2.1=ha770c72_0 @@ -179,8 +194,8 @@ dependencies: - pybtex=0.24.0=pyhd8ed1ab_2 - pybtex-docutils=1.0.3=py310hff52083_1 - pycparser=2.22=pyhd8ed1ab_0 - - pydantic=2.8.0=pyhd8ed1ab_0 - - pydantic-core=2.20.0=py310he421c4c_0 + - pydantic=2.8.2=pyhd8ed1ab_0 + - pydantic-core=2.20.1=py310h42e942d_0 - pydata-sphinx-theme=0.15.4=pyhd8ed1ab_0 - pydiso=0.0.5=py310h4fb8009_1 - pygments=2.18.0=pyhd8ed1ab_0 @@ -194,6 +209,7 @@ dependencies: - python=3.10.14=hd12c33a_0_cpython - python-dateutil=2.9.0=pyhd8ed1ab_0 - python-fastjsonschema=2.20.0=pyhd8ed1ab_0 + - python-json-logger=2.0.7=pyhd8ed1ab_0 - python-tzdata=2023.4=pyhd8ed1ab_0 - python_abi=3.10=4_cp310 - pytz=2024.1=pyhd8ed1ab_0 @@ -203,11 +219,13 @@ dependencies: - readthedocs-sphinx-ext=2.2.5=pyhd8ed1ab_0 - referencing=0.35.1=pyhd8ed1ab_0 - requests=2.32.3=pyhd8ed1ab_0 - - rpds-py=0.18.1=py310he421c4c_0 + - rfc3339-validator=0.1.4=pyhd8ed1ab_0 + - rfc3986-validator=0.1.1=pyh9f0ad1d_0 + - rpds-py=0.19.0=py310h42e942d_0 - scikit-learn=1.4.2=py310h981052a_1 - - scipy=1.14.0=py310h93e2701_0 + - scipy=1.14.0=py310h93e2701_1 - send2trash=1.8.3=pyh0d859eb_0 - - setuptools=70.1.1=pyhd8ed1ab_0 + - setuptools=70.2.0=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 - sniffio=1.3.1=pyhd8ed1ab_0 - snowballstemmer=2.2.0=pyhd8ed1ab_0 @@ -243,20 +261,24 @@ dependencies: - tomli=2.0.1=pyhd8ed1ab_0 - tomlkit=0.12.5=pyha770c72_0 - toolz=0.12.1=pyhd8ed1ab_0 - - tornado=6.1=py310h5764c6d_3 + - tornado=6.4.1=py310hc51659f_0 - tqdm=4.66.4=pyhd8ed1ab_0 - traitlets=5.14.3=pyhd8ed1ab_0 + - types-python-dateutil=2.9.0.20240316=pyhd8ed1ab_0 - typing-extensions=4.12.2=hd8ed1ab_0 - typing_extensions=4.12.2=pyha770c72_0 + - typing_utils=0.1.0=pyhd8ed1ab_0 - tzdata=2024a=h0c530f3_0 - uc-micro-py=1.0.3=pyhd8ed1ab_0 - unicodedata2=15.1.0=py310h2372a71_0 + - uri-template=1.3.0=pyhd8ed1ab_0 - urllib3=2.2.2=pyhd8ed1ab_1 - wcwidth=0.2.13=pyhd8ed1ab_0 + - webcolors=24.6.0=pyhd8ed1ab_0 - webencodings=0.5.1=pyhd8ed1ab_2 - websocket-client=1.8.0=pyhd8ed1ab_0 - wheel=0.43.0=pyhd8ed1ab_1 - - widgetsnbextension=3.6.6=pyhd8ed1ab_0 + - widgetsnbextension=3.6.7=pyhd8ed1ab_0 - xorg-libxau=1.0.11=hd590300_0 - xorg-libxdmcp=1.1.3=h7f98852_0 - xz=5.2.6=h166bdaf_0 @@ -269,7 +291,7 @@ dependencies: - zstd=1.5.6=ha6fb4c9_0 - pip: - empymod === 2.3.1 - - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@03aa505b3957dd543be737d637760dc77a79bec7 + - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@7ca41cbb8d13463e28aec287ef556d131676d0f3 - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@21ce81d279c206ce0a279377168ce50e0a35d3d2 - llvmlite === 0.43.0 - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg@b643f1cb9a9fee76b5e4bd7ed4f1b7a65d1646ec diff --git a/environments/py-3.10-linux-64.conda.lock.yml b/environments/py-3.10-linux-64.conda.lock.yml index d7060f4d..43a1b2de 100644 --- a/environments/py-3.10-linux-64.conda.lock.yml +++ b/environments/py-3.10-linux-64.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: 276b32454c7b04e5308820bf518dac11c9a5658db04e64529a4a7f6ecb55627b +# input_hash: 9b23c663896613e832422d24b82b319596718068d50293595d57ef545469342d channels: - conda-forge @@ -17,7 +17,7 @@ dependencies: - ca-certificates=2024.7.4=hbcca054_0 - cached-property=1.5.2=hd8ed1ab_1 - cached_property=1.5.2=pyha770c72_1 - - certifi=2024.6.2=pyhd8ed1ab_0 + - certifi=2024.7.4=pyhd8ed1ab_0 - cffi=1.16.0=py310h2fee648_0 - click=8.1.7=unix_pyh707e725_0 - cloudpickle=3.0.0=pyhd8ed1ab_0 @@ -25,11 +25,11 @@ dependencies: - contourpy=1.2.1=py310hd41b1e2_0 - cycler=0.12.1=pyhd8ed1ab_0 - cytoolz=0.12.3=py310h2372a71_0 - - dask-core=2022.10.2=pyhd8ed1ab_0 + - dask-core=2024.6.2=pyhd8ed1ab_0 - discretize=0.10.0=py310hcb52e73_1 - - distributed=2022.10.2=pyhd8ed1ab_0 + - distributed=2024.6.2=pyhd8ed1ab_0 - fasteners=0.17.3=pyhd8ed1ab_0 - - fonttools=4.53.0=py310hc51659f_0 + - fonttools=4.53.1=py310h5b4e0ec_0 - freetype=2.12.1=h267a509_2 - fsspec=2022.11.0=pyhd8ed1ab_0 - geoana=0.5.0=py310hcb52e73_4 @@ -39,6 +39,8 @@ dependencies: - hpack=4.0.0=pyh9f0ad1d_0 - hyperframe=6.0.1=pyhd8ed1ab_0 - icu=73.2=h59595ed_0 + - importlib-metadata=8.0.0=pyha770c72_0 + - importlib_metadata=8.0.0=hd8ed1ab_0 - jinja2=3.1.4=pyhd8ed1ab_0 - joblib=1.4.2=pyhd8ed1ab_0 - keyutils=1.6.1=h166bdaf_0 @@ -99,8 +101,8 @@ dependencies: - psutil=6.0.0=py310hc51659f_0 - pthread-stubs=0.4=h36c2ea0_1001 - pycparser=2.22=pyhd8ed1ab_0 - - pydantic=2.8.0=pyhd8ed1ab_0 - - pydantic-core=2.20.0=py310he421c4c_0 + - pydantic=2.8.2=pyhd8ed1ab_0 + - pydantic-core=2.20.1=py310h42e942d_0 - pydiso=0.0.5=py310h4fb8009_1 - pymatsolver=0.2.0=ha770c72_3 - pymatsolver-base=0.2.0=pyh44b312d_3 @@ -114,8 +116,8 @@ dependencies: - pyyaml=6.0.1=py310h2372a71_1 - readline=8.2=h8228510_1 - scikit-learn=1.4.2=py310h981052a_1 - - scipy=1.14.0=py310h93e2701_0 - - setuptools=70.1.1=pyhd8ed1ab_0 + - scipy=1.14.0=py310h93e2701_1 + - setuptools=70.2.0=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 - sortedcontainers=2.4.0=pyhd8ed1ab_0 - tbb=2021.12.0=h434a139_2 @@ -123,7 +125,7 @@ dependencies: - threadpoolctl=3.5.0=pyhc1e730c_0 - tk=8.6.13=noxft_h4845f30_101 - toolz=0.12.1=pyhd8ed1ab_0 - - tornado=6.1=py310h5764c6d_3 + - tornado=6.4.1=py310hc51659f_0 - tqdm=4.66.4=pyhd8ed1ab_0 - typing-extensions=4.12.2=hd8ed1ab_0 - typing_extensions=4.12.2=pyha770c72_0 @@ -137,11 +139,12 @@ dependencies: - yaml=0.2.5=h7f98852_2 - zarr=2.14.2=pyhd8ed1ab_0 - zict=3.0.0=pyhd8ed1ab_0 + - zipp=3.19.2=pyhd8ed1ab_0 - zstandard=0.22.0=py310hab88d88_1 - zstd=1.5.6=ha6fb4c9_0 - pip: - empymod === 2.3.1 - - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@03aa505b3957dd543be737d637760dc77a79bec7 + - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@7ca41cbb8d13463e28aec287ef556d131676d0f3 - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@21ce81d279c206ce0a279377168ce50e0a35d3d2 - llvmlite === 0.43.0 - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg@b643f1cb9a9fee76b5e4bd7ed4f1b7a65d1646ec diff --git a/environments/py-3.10-win-64-dev.conda.lock.yml b/environments/py-3.10-win-64-dev.conda.lock.yml index 1c3ebf5a..d2ecadc3 100644 --- a/environments/py-3.10-win-64-dev.conda.lock.yml +++ b/environments/py-3.10-win-64-dev.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: 5934581a21fc6e45b68bca653a7d43bbd2d7afe9891685cab40f95fe5425c98f +# input_hash: 419634c69c89d52d928b1a44d347e89dbcfc7a09a41a62719460360a48a0dd57 channels: - conda-forge @@ -8,12 +8,14 @@ dependencies: - accessible-pygments=0.0.5=pyhd8ed1ab_0 - alabaster=0.7.16=pyhd8ed1ab_0 - annotated-types=0.7.0=pyhd8ed1ab_0 - - anyio=3.7.1=pyhd8ed1ab_0 + - anyio=4.4.0=pyhd8ed1ab_0 - argon2-cffi=23.1.0=pyhd8ed1ab_0 - argon2-cffi-bindings=21.2.0=py310h8d17308_4 + - arrow=1.3.0=pyhd8ed1ab_0 - asciitree=0.3.3=py_2 - astroid=3.2.2=py310h5588dad_0 - asttokens=2.4.1=pyhd8ed1ab_0 + - async-lru=2.0.4=pyhd8ed1ab_0 - attrs=23.2.0=pyh71513ae_0 - babel=2.14.0=pyhd8ed1ab_0 - beautifulsoup4=4.12.3=pyha770c72_0 @@ -25,7 +27,7 @@ dependencies: - ca-certificates=2024.7.4=h56e8100_0 - cached-property=1.5.2=hd8ed1ab_1 - cached_property=1.5.2=pyha770c72_1 - - certifi=2024.6.2=pyhd8ed1ab_0 + - certifi=2024.7.4=pyhd8ed1ab_0 - cffi=1.16.0=py310h8d17308_0 - charset-normalizer=3.3.2=pyhd8ed1ab_0 - click=8.1.7=win_pyh7428d3b_0 @@ -36,28 +38,32 @@ dependencies: - coverage=7.5.4=py310ha8f682b_0 - cycler=0.12.1=pyhd8ed1ab_0 - cytoolz=0.12.3=py310h8d17308_0 - - dask-core=2022.10.2=pyhd8ed1ab_0 + - dask-core=2024.6.2=pyhd8ed1ab_0 - dataclasses=0.8=pyhc8e2a94_3 - debugpy=1.8.2=py310h9e98ed7_0 - decorator=5.1.1=pyhd8ed1ab_0 - defusedxml=0.7.1=pyhd8ed1ab_0 - dill=0.3.8=pyhd8ed1ab_0 - discretize=0.10.0=py310h4856b71_1 - - distributed=2022.10.2=pyhd8ed1ab_0 + - distributed=2024.6.2=pyhd8ed1ab_0 - docutils=0.18.1=py310h5588dad_1 - entrypoints=0.4=pyhd8ed1ab_0 - exceptiongroup=1.2.0=pyhd8ed1ab_2 - executing=2.0.1=pyhd8ed1ab_0 - fasteners=0.17.3=pyhd8ed1ab_0 - - fonttools=4.53.0=py310ha8f682b_0 + - fonttools=4.53.1=py310ha8f682b_0 + - fqdn=1.5.1=pyhd8ed1ab_0 - freetype=2.12.1=hdaf720e_2 - fsspec=2022.11.0=pyhd8ed1ab_0 - geoana=0.5.0=py310h4856b71_4 - greenlet=3.0.3=py310h00ffb61_0 + - h11=0.14.0=pyhd8ed1ab_0 - h2=4.1.0=pyhd8ed1ab_0 - h5py=3.11.0=nompi_py310h2b0be38_102 - hdf5=1.14.3=nompi_h2b43c12_105 - hpack=4.0.0=pyh9f0ad1d_0 + - httpcore=1.0.5=pyhd8ed1ab_0 + - httpx=0.27.0=pyhd8ed1ab_0 - hyperframe=6.0.1=pyhd8ed1ab_0 - idna=3.7=pyhd8ed1ab_0 - imagesize=1.4.1=pyhd8ed1ab_0 @@ -69,20 +75,29 @@ dependencies: - ipykernel=6.29.5=pyh4bbf305_0 - ipython=8.26.0=pyh7428d3b_0 - ipython_genutils=0.2.0=pyhd8ed1ab_1 - - ipywidgets=7.8.0=pyhd8ed1ab_0 + - ipywidgets=7.8.2=pyhd8ed1ab_0 + - isoduration=20.11.0=pyhd8ed1ab_0 - isort=5.13.2=pyhd8ed1ab_0 - jedi=0.19.1=pyhd8ed1ab_0 - jinja2=3.1.4=pyhd8ed1ab_0 - joblib=1.4.2=pyhd8ed1ab_0 - - jsonschema=4.22.0=pyhd8ed1ab_0 + - json5=0.9.25=pyhd8ed1ab_0 + - jsonpointer=3.0.0=py310h5588dad_0 + - jsonschema=4.23.0=pyhd8ed1ab_0 - jsonschema-specifications=2023.12.1=pyhd8ed1ab_0 + - jsonschema-with-format-nongpl=4.23.0=hd8ed1ab_0 - jupyter-book=0.15.1=pyhd8ed1ab_0 - jupyter-cache=0.6.1=pyhd8ed1ab_0 - - jupyter_client=7.3.4=pyhd8ed1ab_0 + - jupyter-lsp=2.2.5=pyhd8ed1ab_0 + - jupyter_client=8.6.2=pyhd8ed1ab_0 - jupyter_core=5.7.2=py310h5588dad_0 - - jupyter_server=1.24.0=pyhd8ed1ab_0 + - jupyter_events=0.10.0=pyhd8ed1ab_0 + - jupyter_server=2.14.1=pyhd8ed1ab_1 + - jupyter_server_terminals=0.5.3=pyhd8ed1ab_0 + - jupyterlab=4.2.3=pyhd8ed1ab_0 - jupyterlab_pygments=0.3.0=pyhd8ed1ab_1 - - jupyterlab_widgets=1.1.7=pyhd8ed1ab_0 + - jupyterlab_server=2.27.2=pyhd8ed1ab_0 + - jupyterlab_widgets=1.1.8=pyhd8ed1ab_0 - jupytext=1.16.2=pyhd8ed1ab_1 - kiwisolver=1.4.5=py310h232114e_1 - krb5=1.21.3=hdf4eb48_0 @@ -133,19 +148,19 @@ dependencies: - munkres=1.1.4=pyh9f0ad1d_0 - myst-nb=0.17.2=pyhd8ed1ab_0 - myst-parser=0.18.1=pyhd8ed1ab_0 - - nbclassic=1.1.0=pyhd8ed1ab_0 - nbclient=0.7.4=pyhd8ed1ab_0 - nbconvert=7.16.4=hd8ed1ab_1 - nbconvert-core=7.16.4=pyhd8ed1ab_1 - nbconvert-pandoc=7.16.4=hd8ed1ab_1 - nbformat=5.10.4=pyhd8ed1ab_0 - nest-asyncio=1.6.0=pyhd8ed1ab_0 - - notebook=6.5.7=pyha770c72_0 + - notebook=7.2.1=pyhd8ed1ab_0 - notebook-shim=0.2.4=pyhd8ed1ab_0 - numcodecs=0.12.1=py310h9e98ed7_1 - numpy=1.26.4=py310hf667824_0 - openjpeg=2.5.2=h3d672ee_0 - openssl=3.3.1=h2466b09_1 + - overrides=7.7.0=pyhd8ed1ab_0 - packaging=24.1=pyhd8ed1ab_0 - pandas=2.2.2=py310hb4db72f_1 - pandoc=3.2.1=h57928b3_0 @@ -167,8 +182,8 @@ dependencies: - pybtex=0.24.0=pyhd8ed1ab_2 - pybtex-docutils=1.0.3=py310h5588dad_1 - pycparser=2.22=pyhd8ed1ab_0 - - pydantic=2.8.0=pyhd8ed1ab_0 - - pydantic-core=2.20.0=py310hc226416_0 + - pydantic=2.8.2=pyhd8ed1ab_0 + - pydantic-core=2.20.1=py310hc226416_0 - pydata-sphinx-theme=0.15.4=pyhd8ed1ab_0 - pydiso=0.0.5=py310hafb2880_1 - pygments=2.18.0=pyhd8ed1ab_0 @@ -182,6 +197,7 @@ dependencies: - python=3.10.14=h4de0772_0_cpython - python-dateutil=2.9.0=pyhd8ed1ab_0 - python-fastjsonschema=2.20.0=pyhd8ed1ab_0 + - python-json-logger=2.0.7=pyhd8ed1ab_0 - python-tzdata=2023.4=pyhd8ed1ab_0 - python_abi=3.10=4_cp310 - pytz=2024.1=pyhd8ed1ab_0 @@ -192,11 +208,13 @@ dependencies: - readthedocs-sphinx-ext=2.2.5=pyhd8ed1ab_0 - referencing=0.35.1=pyhd8ed1ab_0 - requests=2.32.3=pyhd8ed1ab_0 - - rpds-py=0.18.1=py310hc226416_0 + - rfc3339-validator=0.1.4=pyhd8ed1ab_0 + - rfc3986-validator=0.1.1=pyh9f0ad1d_0 + - rpds-py=0.19.0=py310hc226416_0 - scikit-learn=1.4.2=py310hf2a6c47_1 - - scipy=1.14.0=py310h46043a1_0 + - scipy=1.14.0=py310h46043a1_1 - send2trash=1.8.3=pyh5737063_0 - - setuptools=70.1.1=pyhd8ed1ab_0 + - setuptools=70.2.0=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 - sniffio=1.3.1=pyhd8ed1ab_0 - snowballstemmer=2.2.0=pyhd8ed1ab_0 @@ -232,24 +250,28 @@ dependencies: - tomli=2.0.1=pyhd8ed1ab_0 - tomlkit=0.12.5=pyha770c72_0 - toolz=0.12.1=pyhd8ed1ab_0 - - tornado=6.1=py310he2412df_3 + - tornado=6.4.1=py310ha8f682b_0 - tqdm=4.66.4=pyhd8ed1ab_0 - traitlets=5.14.3=pyhd8ed1ab_0 + - types-python-dateutil=2.9.0.20240316=pyhd8ed1ab_0 - typing-extensions=4.12.2=hd8ed1ab_0 - typing_extensions=4.12.2=pyha770c72_0 + - typing_utils=0.1.0=pyhd8ed1ab_0 - tzdata=2024a=h0c530f3_0 - uc-micro-py=1.0.3=pyhd8ed1ab_0 - ucrt=10.0.22621.0=h57928b3_0 - unicodedata2=15.1.0=py310h8d17308_0 + - uri-template=1.3.0=pyhd8ed1ab_0 - urllib3=2.2.2=pyhd8ed1ab_1 - vc=14.3=h8a93ad2_20 - vc14_runtime=14.40.33810=ha82c5b3_20 - vs2015_runtime=14.40.33810=h3bf8584_20 - wcwidth=0.2.13=pyhd8ed1ab_0 + - webcolors=24.6.0=pyhd8ed1ab_0 - webencodings=0.5.1=pyhd8ed1ab_2 - websocket-client=1.8.0=pyhd8ed1ab_0 - wheel=0.43.0=pyhd8ed1ab_1 - - widgetsnbextension=3.6.6=pyhd8ed1ab_0 + - widgetsnbextension=3.6.7=pyhd8ed1ab_0 - win_inet_pton=1.1.0=pyhd8ed1ab_6 - winpty=0.4.3=4 - xorg-libxau=1.0.11=hcd874cb_0 @@ -264,7 +286,7 @@ dependencies: - zstd=1.5.6=h0ea2cb4_0 - pip: - empymod === 2.3.1 - - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@03aa505b3957dd543be737d637760dc77a79bec7 + - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@7ca41cbb8d13463e28aec287ef556d131676d0f3 - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@21ce81d279c206ce0a279377168ce50e0a35d3d2 - llvmlite === 0.43.0 - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg@b643f1cb9a9fee76b5e4bd7ed4f1b7a65d1646ec diff --git a/environments/py-3.10-win-64.conda.lock.yml b/environments/py-3.10-win-64.conda.lock.yml index 29103628..7cb0b7c8 100644 --- a/environments/py-3.10-win-64.conda.lock.yml +++ b/environments/py-3.10-win-64.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: 5934581a21fc6e45b68bca653a7d43bbd2d7afe9891685cab40f95fe5425c98f +# input_hash: 419634c69c89d52d928b1a44d347e89dbcfc7a09a41a62719460360a48a0dd57 channels: - conda-forge @@ -14,7 +14,7 @@ dependencies: - ca-certificates=2024.7.4=h56e8100_0 - cached-property=1.5.2=hd8ed1ab_1 - cached_property=1.5.2=pyha770c72_1 - - certifi=2024.6.2=pyhd8ed1ab_0 + - certifi=2024.7.4=pyhd8ed1ab_0 - cffi=1.16.0=py310h8d17308_0 - click=8.1.7=win_pyh7428d3b_0 - cloudpickle=3.0.0=pyhd8ed1ab_0 @@ -22,11 +22,11 @@ dependencies: - contourpy=1.2.1=py310h232114e_0 - cycler=0.12.1=pyhd8ed1ab_0 - cytoolz=0.12.3=py310h8d17308_0 - - dask-core=2022.10.2=pyhd8ed1ab_0 + - dask-core=2024.6.2=pyhd8ed1ab_0 - discretize=0.10.0=py310h4856b71_1 - - distributed=2022.10.2=pyhd8ed1ab_0 + - distributed=2024.6.2=pyhd8ed1ab_0 - fasteners=0.17.3=pyhd8ed1ab_0 - - fonttools=4.53.0=py310ha8f682b_0 + - fonttools=4.53.1=py310ha8f682b_0 - freetype=2.12.1=hdaf720e_2 - fsspec=2022.11.0=pyhd8ed1ab_0 - geoana=0.5.0=py310h4856b71_4 @@ -35,6 +35,8 @@ dependencies: - hdf5=1.14.3=nompi_h2b43c12_105 - hpack=4.0.0=pyh9f0ad1d_0 - hyperframe=6.0.1=pyhd8ed1ab_0 + - importlib-metadata=8.0.0=pyha770c72_0 + - importlib_metadata=8.0.0=hd8ed1ab_0 - intel-openmp=2023.2.0=h57928b3_50497 - jinja2=3.1.4=pyhd8ed1ab_0 - joblib=1.4.2=pyhd8ed1ab_0 @@ -89,8 +91,8 @@ dependencies: - pthread-stubs=0.4=hcd874cb_1001 - pthreads-win32=2.9.1=hfa6e2cd_3 - pycparser=2.22=pyhd8ed1ab_0 - - pydantic=2.8.0=pyhd8ed1ab_0 - - pydantic-core=2.20.0=py310hc226416_0 + - pydantic=2.8.2=pyhd8ed1ab_0 + - pydantic-core=2.20.1=py310hc226416_0 - pydiso=0.0.5=py310hafb2880_1 - pymatsolver=0.2.0=ha770c72_3 - pymatsolver-base=0.2.0=pyh44b312d_3 @@ -103,8 +105,8 @@ dependencies: - pytz=2024.1=pyhd8ed1ab_0 - pyyaml=6.0.1=py310h8d17308_1 - scikit-learn=1.4.2=py310hf2a6c47_1 - - scipy=1.14.0=py310h46043a1_0 - - setuptools=70.1.1=pyhd8ed1ab_0 + - scipy=1.14.0=py310h46043a1_1 + - setuptools=70.2.0=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 - sortedcontainers=2.4.0=pyhd8ed1ab_0 - tbb=2021.12.0=hc790b64_2 @@ -112,7 +114,7 @@ dependencies: - threadpoolctl=3.5.0=pyhc1e730c_0 - tk=8.6.13=h5226925_1 - toolz=0.12.1=pyhd8ed1ab_0 - - tornado=6.1=py310he2412df_3 + - tornado=6.4.1=py310ha8f682b_0 - tqdm=4.66.4=pyhd8ed1ab_0 - typing-extensions=4.12.2=hd8ed1ab_0 - typing_extensions=4.12.2=pyha770c72_0 @@ -131,11 +133,12 @@ dependencies: - yaml=0.2.5=h8ffe710_2 - zarr=2.14.2=pyhd8ed1ab_0 - zict=3.0.0=pyhd8ed1ab_0 + - zipp=3.19.2=pyhd8ed1ab_0 - zstandard=0.22.0=py310he5e10e1_1 - zstd=1.5.6=h0ea2cb4_0 - pip: - empymod === 2.3.1 - - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@03aa505b3957dd543be737d637760dc77a79bec7 + - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@7ca41cbb8d13463e28aec287ef556d131676d0f3 - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@21ce81d279c206ce0a279377168ce50e0a35d3d2 - llvmlite === 0.43.0 - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg@b643f1cb9a9fee76b5e4bd7ed4f1b7a65d1646ec diff --git a/py-3.10.conda-lock.yml b/py-3.10.conda-lock.yml index 3beef25c..2d77bd83 100644 --- a/py-3.10.conda-lock.yml +++ b/py-3.10.conda-lock.yml @@ -15,8 +15,8 @@ version: 1 metadata: content_hash: - 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name: anyio - version: 3.7.1 + version: 4.4.0 manager: conda platform: win-64 dependencies: - typing_extensions: '' - exceptiongroup: '' - python: '>=3.7' + python: '>=3.8' sniffio: '>=1.1' + typing_extensions: '>=4.1' idna: '>=2.8' - url: https://conda.anaconda.org/conda-forge/noarch/anyio-3.7.1-pyhd8ed1ab_0.conda + exceptiongroup: '>=1.0.2' + url: https://conda.anaconda.org/conda-forge/noarch/anyio-4.4.0-pyhd8ed1ab_0.conda hash: - md5: 7b517e7a6f0790337906c055aa97ca49 - sha256: 62637ac498bcf47783cbf4f48e9b09e4e2f5a6ad42f43ca8f632c353827b94f4 + md5: 1fa97c6e8db1f82c64ff17a5efc4ae8e + sha256: 84ac9429812495f12939ab4994f2634f7cacd254f6234a0c2c0243daed15a7ee category: dev optional: true - name: argon2-cffi @@ -219,6 +219,34 @@ package: sha256: ae143aec777823b2291caabc3fd89078a3ff12f41945e0f9abd168997ad35d39 category: dev optional: true +- name: arrow + version: 1.3.0 + manager: conda + platform: linux-64 + dependencies: + python: '>=3.8' + python-dateutil: '>=2.7.0' + types-python-dateutil: '>=2.8.10' + url: https://conda.anaconda.org/conda-forge/noarch/arrow-1.3.0-pyhd8ed1ab_0.conda + hash: + md5: b77d8c2313158e6e461ca0efb1c2c508 + sha256: ff49825c7f9e29e09afa6284300810e7a8640d621740efb47c4541f4dc4969db + category: dev + optional: true +- name: arrow + version: 1.3.0 + manager: conda + platform: win-64 + dependencies: + python: '>=3.8' + python-dateutil: '>=2.7.0' + types-python-dateutil: '>=2.8.10' + url: https://conda.anaconda.org/conda-forge/noarch/arrow-1.3.0-pyhd8ed1ab_0.conda + hash: + md5: b77d8c2313158e6e461ca0efb1c2c508 + sha256: ff49825c7f9e29e09afa6284300810e7a8640d621740efb47c4541f4dc4969db + category: dev + optional: true - name: asciitree version: 0.3.3 manager: conda @@ -297,6 +325,32 @@ package: sha256: 708168f026df19a0344983754d27d1f7b28bb21afc7b97a82f02c4798a3d2111 category: dev optional: true +- name: async-lru + version: 2.0.4 + manager: conda + platform: linux-64 + dependencies: + python: '>=3.8' + typing_extensions: '>=4.0.0' + url: https://conda.anaconda.org/conda-forge/noarch/async-lru-2.0.4-pyhd8ed1ab_0.conda + hash: + md5: 3d081de3a6ea9f894bbb585e8e3a4dcb + sha256: 7ed83731979fe5b046c157730e50af0e24454468bbba1ed8fc1a3107db5d7518 + category: dev + optional: true +- name: async-lru + version: 2.0.4 + manager: conda + platform: win-64 + dependencies: + python: '>=3.8' + typing_extensions: '>=4.0.0' + url: https://conda.anaconda.org/conda-forge/noarch/async-lru-2.0.4-pyhd8ed1ab_0.conda + hash: + md5: 3d081de3a6ea9f894bbb585e8e3a4dcb + sha256: 7ed83731979fe5b046c157730e50af0e24454468bbba1ed8fc1a3107db5d7518 + category: dev + optional: true - name: attrs version: 23.2.0 manager: conda @@ -609,27 +663,27 @@ package: category: main optional: false - name: certifi - version: 2024.6.2 + version: 2024.7.4 manager: conda platform: linux-64 dependencies: python: '>=3.7' - url: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.6.2-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.7.4-pyhd8ed1ab_0.conda hash: - md5: 8821ec1c8fcdc9e1d291d7b9f6e9968a - sha256: f101b8f9155b79d623601214eb719747ffe1c2ad3ff6c4e600f59163bd5f4803 + md5: 24e7fd6ca65997938fff9e5ab6f653e4 + sha256: dd3577bb5275062c388c46b075dcb795f47f8dac561da7dd35fe504b936934e5 category: main optional: false - name: certifi - version: 2024.6.2 + version: 2024.7.4 manager: conda platform: win-64 dependencies: python: '>=3.7' - url: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.6.2-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.7.4-pyhd8ed1ab_0.conda hash: - md5: 8821ec1c8fcdc9e1d291d7b9f6e9968a - sha256: f101b8f9155b79d623601214eb719747ffe1c2ad3ff6c4e600f59163bd5f4803 + md5: 24e7fd6ca65997938fff9e5ab6f653e4 + sha256: dd3577bb5275062c388c46b075dcb795f47f8dac561da7dd35fe504b936934e5 category: main optional: false - 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name: widgetsnbextension - version: 3.6.6 + version: 3.6.7 manager: conda platform: linux-64 dependencies: notebook: '>=4.4.1' python: '>=3.7' - url: https://conda.anaconda.org/conda-forge/noarch/widgetsnbextension-3.6.6-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/widgetsnbextension-3.6.7-pyhd8ed1ab_0.conda hash: - md5: fe79dfe7d51794d665ec3c2fdd4e47c3 - sha256: 5fb8ac32fb9d5b2860d271ae1959aa6953044f06cbe5e54d912125cca27dda3b + md5: 02d93c41f3edf0c4e9b77fb93dbce1e4 + sha256: a849fd20f968e6c0c40927509b605e3b63e0ed06de14ab7356e1e5ce0b860dc7 category: dev optional: true - name: widgetsnbextension - version: 3.6.6 + version: 3.6.7 manager: conda platform: win-64 dependencies: python: '>=3.7' notebook: '>=4.4.1' - url: https://conda.anaconda.org/conda-forge/noarch/widgetsnbextension-3.6.6-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/widgetsnbextension-3.6.7-pyhd8ed1ab_0.conda hash: - md5: fe79dfe7d51794d665ec3c2fdd4e47c3 - sha256: 5fb8ac32fb9d5b2860d271ae1959aa6953044f06cbe5e54d912125cca27dda3b + md5: 02d93c41f3edf0c4e9b77fb93dbce1e4 + sha256: a849fd20f968e6c0c40927509b605e3b63e0ed06de14ab7356e1e5ce0b860dc7 category: dev optional: true - name: win_inet_pton @@ -7409,8 +8039,8 @@ package: hash: md5: 49808e59df5535116f6878b2a820d6f4 sha256: e3e9c8501f581bfdc4700b83ea283395e237ec6b9b5cbfbedb556e1da6f4fdc9 - category: dev - optional: true + category: main + optional: false - name: zipp version: 3.19.2 manager: conda @@ -7421,8 +8051,8 @@ package: hash: md5: 49808e59df5535116f6878b2a820d6f4 sha256: e3e9c8501f581bfdc4700b83ea283395e237ec6b9b5cbfbedb556e1da6f4fdc9 - category: dev - optional: true + category: main + optional: false - name: zstandard version: 0.22.0 manager: conda @@ -7527,13 +8157,13 @@ package: numpy: '>=1.26.0,<1.27.0' pydantic: '>=2.5.2,<3.0.0' scipy: '>=1.14.0,<1.15.0' - url: git+https://github.com/MiraGeoscience/geoapps-utils@03aa505b3957dd543be737d637760dc77a79bec7 + url: git+https://github.com/MiraGeoscience/geoapps-utils@7ca41cbb8d13463e28aec287ef556d131676d0f3 hash: - sha256: 03aa505b3957dd543be737d637760dc77a79bec7 + sha256: 7ca41cbb8d13463e28aec287ef556d131676d0f3 category: main source: type: url - url: git+https://github.com/MiraGeoscience/geoapps-utils@03aa505b3957dd543be737d637760dc77a79bec7 + url: git+https://github.com/MiraGeoscience/geoapps-utils@7ca41cbb8d13463e28aec287ef556d131676d0f3 optional: false - name: geoapps-utils version: 0.4.0a1 @@ -7546,13 +8176,13 @@ package: numpy: '>=1.26.0,<1.27.0' pydantic: '>=2.5.2,<3.0.0' scipy: '>=1.14.0,<1.15.0' - url: git+https://github.com/MiraGeoscience/geoapps-utils@03aa505b3957dd543be737d637760dc77a79bec7 + url: git+https://github.com/MiraGeoscience/geoapps-utils@7ca41cbb8d13463e28aec287ef556d131676d0f3 hash: - sha256: 03aa505b3957dd543be737d637760dc77a79bec7 + sha256: 7ca41cbb8d13463e28aec287ef556d131676d0f3 category: main source: type: url - url: git+https://github.com/MiraGeoscience/geoapps-utils@03aa505b3957dd543be737d637760dc77a79bec7 + url: git+https://github.com/MiraGeoscience/geoapps-utils@7ca41cbb8d13463e28aec287ef556d131676d0f3 optional: false - name: geoh5py version: 0.10.0a1 diff --git a/pyproject.toml b/pyproject.toml index df804b9d..728edb22 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -29,9 +29,9 @@ include = [ [tool.poetry.dependencies] python = "^3.10, <3.11" # limited to 3.10 because of geoapps-utils (due to PySide2) -dask = {version = "2022.10.*", extras = ["distributed"]} # also in simpeg[dask] +dask = {version = "2024.6.*", extras = ["distributed"]} # also in simpeg[dask] discretize = "~0.10.0" # also in simpeg, octree-creation-app -distributed = "2022.10.*" # because conda-lock doesn't take dask extras into account +distributed = "2024.6.*" # because conda-lock doesn't take dask extras into account numpy = "~1.26.0" # also in geoh5py, simpeg scipy = "~1.14.0" zarr = "~2.14.2" # also in simpeg[dask] From f09983d7730fb681baf2a377e1fd57f7fc84dba9 Mon Sep 17 00:00:00 2001 From: sebhmg Date: Wed, 10 Jul 2024 11:27:54 -0400 Subject: [PATCH 063/350] GEOPY-1636: move indirect dependency for conda env under conda-lock section --- .../py-3.10-linux-64-dev.conda.lock.yml | 2 +- environments/py-3.10-linux-64.conda.lock.yml | 2 +- .../py-3.10-win-64-dev.conda.lock.yml | 2 +- environments/py-3.10-win-64.conda.lock.yml | 2 +- py-3.10.conda-lock.yml | 4 +- pyproject.toml | 40 +++++++++---------- 6 files changed, 26 insertions(+), 26 deletions(-) diff --git a/environments/py-3.10-linux-64-dev.conda.lock.yml b/environments/py-3.10-linux-64-dev.conda.lock.yml index 822f7513..ecf06ba8 100644 --- a/environments/py-3.10-linux-64-dev.conda.lock.yml +++ b/environments/py-3.10-linux-64-dev.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: 9b23c663896613e832422d24b82b319596718068d50293595d57ef545469342d +# input_hash: a4e497e433232be256169bb07ab04bb593ae066ae5a6314d38e3a01547ec2c57 channels: - conda-forge diff --git a/environments/py-3.10-linux-64.conda.lock.yml b/environments/py-3.10-linux-64.conda.lock.yml index 43a1b2de..3e88bda2 100644 --- a/environments/py-3.10-linux-64.conda.lock.yml +++ b/environments/py-3.10-linux-64.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: 9b23c663896613e832422d24b82b319596718068d50293595d57ef545469342d +# input_hash: a4e497e433232be256169bb07ab04bb593ae066ae5a6314d38e3a01547ec2c57 channels: - conda-forge diff --git a/environments/py-3.10-win-64-dev.conda.lock.yml b/environments/py-3.10-win-64-dev.conda.lock.yml index d2ecadc3..807e740f 100644 --- a/environments/py-3.10-win-64-dev.conda.lock.yml +++ b/environments/py-3.10-win-64-dev.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: 419634c69c89d52d928b1a44d347e89dbcfc7a09a41a62719460360a48a0dd57 +# input_hash: 06bc0c5aacb341cc3894ce763fdfa7a235dfcedf1ac3140e78797dcd913d8394 channels: - conda-forge diff --git a/environments/py-3.10-win-64.conda.lock.yml b/environments/py-3.10-win-64.conda.lock.yml index 7cb0b7c8..e16bbbb9 100644 --- a/environments/py-3.10-win-64.conda.lock.yml +++ b/environments/py-3.10-win-64.conda.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: 419634c69c89d52d928b1a44d347e89dbcfc7a09a41a62719460360a48a0dd57 +# input_hash: 06bc0c5aacb341cc3894ce763fdfa7a235dfcedf1ac3140e78797dcd913d8394 channels: - conda-forge diff --git a/py-3.10.conda-lock.yml b/py-3.10.conda-lock.yml index 2d77bd83..9187192b 100644 --- a/py-3.10.conda-lock.yml +++ b/py-3.10.conda-lock.yml @@ -15,8 +15,8 @@ version: 1 metadata: content_hash: - win-64: 419634c69c89d52d928b1a44d347e89dbcfc7a09a41a62719460360a48a0dd57 - linux-64: 9b23c663896613e832422d24b82b319596718068d50293595d57ef545469342d + win-64: 06bc0c5aacb341cc3894ce763fdfa7a235dfcedf1ac3140e78797dcd913d8394 + linux-64: a4e497e433232be256169bb07ab04bb593ae066ae5a6314d38e3a01547ec2c57 channels: - url: conda-forge used_env_vars: [] diff --git a/pyproject.toml b/pyproject.toml index 728edb22..e9a34a2f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -63,26 +63,6 @@ mira-simpeg = {git = "https://github.com/MiraGeoscience/simpeg.git", rev = "deve param-sweeps = {git = "https://github.com/MiraGeoscience/param-sweeps.git", rev = "develop"} #param-sweeps = {url = "http://localhost:8888/param-sweeps.tar.gz"} -## indirect dependencies, forcing them here for installation through Conda not pip -#--------------------------------------------------------------------------------- -Pillow = "~10.3.0" # from geoh5py -fsspec = "2022.*" # from simpeg[dask] -geoana = "~0.5.0" # from simpeg -h5py = "^3.2.1" # from geoh5py -matplotlib = "~3.8.4" # from simpeg -mkl = "2023.2.0" # from simpeg -pandas = "~2.2.1" # from SimPEG, also used by targeting-workflow, petro-lingo -pydantic = "^2.5.2" # from geoh5py, geoapps-utils -pydiso = "~0.0.5" # from simpeg -pymatsolver = "~0.2.0" # from simpeg -scikit-learn = "~1.4.0" # from SimPEG, also used by geo-unsup-mapper, petro-lingo -tqdm = "^4.66.1" # from simpeg - -# force some versions to resolve incompatible resolution between PyPI and Conda -#------------------------------------------------------------------------------ -tbb = "2021.12.*" # through mkl from SimPEG -tzdata = "2023.4.*" # through pandas from SimPEG - ## about pip dependencies # to be specified to work with conda-lock # - from PyPI: my_package = { version = "1.2.3", source = "pypi" } @@ -112,6 +92,26 @@ channels = ['conda-forge'] [tool.conda-lock.dependencies] libblas = "*=*mkl" # because simpeg already brings in the MKL +## indirect dependencies, forcing them here for installation through Conda not pip +#--------------------------------------------------------------------------------- +Pillow = ">=10.3.0, <10.4.0" # from geoh5py +fsspec = "2022.*" # from simpeg[dask] +geoana = ">=0.5.0, <0.6.0" # from simpeg +h5py = ">=3.2.1, <4.0.0" # from geoh5py +matplotlib-base = ">=3.8.4, <3.9.0" # from simpeg +mkl = ">=2023.2, <2023.3" # from simpeg +pandas = ">=2.2.1, <2.3.0" # from SimPEG, also used by targeting-workflow, petro-lingo +pydantic = ">=2.5.2, <3.0.0" # from geoh5py, geoapps-utils +pydiso = ">=0.0.5, <0.1.0" # from simpeg +pymatsolver = ">=0.2.0, <0.3.0" # from simpeg +scikit-learn = ">=1.4.0, <1.5.0" # from SimPEG, also used by geo-unsup-mapper, petro-lingo +tqdm = ">=4.66.1, <5.0.0" # from simpeg + +# force some versions to resolve incompatible resolution between PyPI and Conda +#------------------------------------------------------------------------------ +tbb = "2021.12.*" # through mkl from SimPEG +python-tzdata = "2023.4.*" # through pandas from SimPEG + [tool.isort] profile = "black" From 56955ab6fa24355775bf061bbb5c67e460cf5d10 Mon Sep 17 00:00:00 2001 From: sebhmg Date: Fri, 12 Jul 2024 07:40:20 -0400 Subject: [PATCH 064/350] relock on latests geoapps-utils and octree-creation-app --- .../py-3.10-linux-64-dev.conda.lock.yml | 16 +- environments/py-3.10-linux-64.conda.lock.yml | 8 +- .../py-3.10-win-64-dev.conda.lock.yml | 14 +- environments/py-3.10-win-64.conda.lock.yml | 6 +- py-3.10.conda-lock.yml | 1316 ++++++++--------- 5 files changed, 679 insertions(+), 681 deletions(-) diff --git a/environments/py-3.10-linux-64-dev.conda.lock.yml b/environments/py-3.10-linux-64-dev.conda.lock.yml index ecf06ba8..29b33c21 100644 --- a/environments/py-3.10-linux-64-dev.conda.lock.yml +++ b/environments/py-3.10-linux-64-dev.conda.lock.yml @@ -15,7 +15,7 @@ dependencies: - argon2-cffi-bindings=21.2.0=py310h2372a71_4 - arrow=1.3.0=pyhd8ed1ab_0 - asciitree=0.3.3=py_2 - - astroid=3.2.2=py310hff52083_0 + - astroid=3.2.3=py310hff52083_0 - asttokens=2.4.1=pyhd8ed1ab_0 - async-lru=2.0.4=pyhd8ed1ab_0 - attrs=23.2.0=pyh71513ae_0 @@ -26,7 +26,7 @@ dependencies: - brotli-bin=1.1.0=hd590300_1 - brotli-python=1.1.0=py310hc6cd4ac_1 - bzip2=1.0.8=hd590300_5 - - c-ares=1.28.1=hd590300_0 + - c-ares=1.32.0=h4ab18f5_0 - ca-certificates=2024.7.4=hbcca054_0 - cached-property=1.5.2=hd8ed1ab_1 - cached_property=1.5.2=pyha770c72_1 @@ -38,7 +38,7 @@ dependencies: - colorama=0.4.6=pyhd8ed1ab_0 - comm=0.2.2=pyhd8ed1ab_0 - contourpy=1.2.1=py310hd41b1e2_0 - - coverage=7.5.4=py310hc51659f_0 + - coverage=7.6.0=py310h5b4e0ec_0 - cycler=0.12.1=pyhd8ed1ab_0 - cytoolz=0.12.3=py310h2372a71_0 - dask-core=2024.6.2=pyhd8ed1ab_0 @@ -101,7 +101,7 @@ dependencies: - jupyterlab_pygments=0.3.0=pyhd8ed1ab_1 - jupyterlab_server=2.27.2=pyhd8ed1ab_0 - jupyterlab_widgets=1.1.8=pyhd8ed1ab_0 - - jupytext=1.16.2=pyhd8ed1ab_1 + - jupytext=1.16.3=pyhd8ed1ab_0 - keyutils=1.6.1=h166bdaf_0 - kiwisolver=1.4.5=py310hd41b1e2_1 - krb5=1.21.3=h659f571_0 @@ -140,7 +140,7 @@ dependencies: - libwebp-base=1.4.0=hd590300_0 - libxcb=1.16=hd590300_0 - libxcrypt=4.4.36=hd590300_1 - - libxml2=2.12.7=hc051c1a_1 + - libxml2=2.12.7=h4c95cb1_2 - libzlib=1.3.1=h4ab18f5_1 - linkify-it-py=2.0.3=pyhd8ed1ab_0 - llvm-openmp=18.1.8=hf5423f3_0 @@ -259,7 +259,7 @@ dependencies: - tk=8.6.13=noxft_h4845f30_101 - toml=0.10.2=pyhd8ed1ab_0 - tomli=2.0.1=pyhd8ed1ab_0 - - tomlkit=0.12.5=pyha770c72_0 + - tomlkit=0.13.0=pyha770c72_0 - toolz=0.12.1=pyhd8ed1ab_0 - tornado=6.4.1=py310hc51659f_0 - tqdm=4.66.4=pyhd8ed1ab_0 @@ -291,12 +291,12 @@ dependencies: - zstd=1.5.6=ha6fb4c9_0 - pip: - empymod === 2.3.1 - - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@7ca41cbb8d13463e28aec287ef556d131676d0f3 + - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@6dd821c01243dc4d52df5e62817c5d6f94c57916 - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@21ce81d279c206ce0a279377168ce50e0a35d3d2 - llvmlite === 0.43.0 - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg@b643f1cb9a9fee76b5e4bd7ed4f1b7a65d1646ec - numba === 0.60.0 - - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@8b0749e6797c393aaa0d79e34ee199708f448175 + - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@f9d919b21d384b454082e4eb8bde8f67d5242e01 - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps@13c05a3d90fcf2bc37f4d752affbda277c61b8b0 - scooby === 0.10.0 diff --git a/environments/py-3.10-linux-64.conda.lock.yml b/environments/py-3.10-linux-64.conda.lock.yml index 3e88bda2..8f519eff 100644 --- a/environments/py-3.10-linux-64.conda.lock.yml +++ b/environments/py-3.10-linux-64.conda.lock.yml @@ -13,7 +13,7 @@ dependencies: - brotli-bin=1.1.0=hd590300_1 - brotli-python=1.1.0=py310hc6cd4ac_1 - bzip2=1.0.8=hd590300_5 - - c-ares=1.28.1=hd590300_0 + - c-ares=1.32.0=h4ab18f5_0 - ca-certificates=2024.7.4=hbcca054_0 - cached-property=1.5.2=hd8ed1ab_1 - cached_property=1.5.2=pyha770c72_1 @@ -79,7 +79,7 @@ dependencies: - libwebp-base=1.4.0=hd590300_0 - libxcb=1.16=hd590300_0 - libxcrypt=4.4.36=hd590300_1 - - libxml2=2.12.7=hc051c1a_1 + - libxml2=2.12.7=h4c95cb1_2 - libzlib=1.3.1=h4ab18f5_1 - llvm-openmp=18.1.8=hf5423f3_0 - locket=1.0.0=pyhd8ed1ab_0 @@ -144,12 +144,12 @@ dependencies: - zstd=1.5.6=ha6fb4c9_0 - pip: - empymod === 2.3.1 - - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@7ca41cbb8d13463e28aec287ef556d131676d0f3 + - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@6dd821c01243dc4d52df5e62817c5d6f94c57916 - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@21ce81d279c206ce0a279377168ce50e0a35d3d2 - llvmlite === 0.43.0 - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg@b643f1cb9a9fee76b5e4bd7ed4f1b7a65d1646ec - numba === 0.60.0 - - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@8b0749e6797c393aaa0d79e34ee199708f448175 + - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@f9d919b21d384b454082e4eb8bde8f67d5242e01 - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps@13c05a3d90fcf2bc37f4d752affbda277c61b8b0 - scooby === 0.10.0 diff --git a/environments/py-3.10-win-64-dev.conda.lock.yml b/environments/py-3.10-win-64-dev.conda.lock.yml index 807e740f..5d070e5e 100644 --- a/environments/py-3.10-win-64-dev.conda.lock.yml +++ b/environments/py-3.10-win-64-dev.conda.lock.yml @@ -13,7 +13,7 @@ dependencies: - argon2-cffi-bindings=21.2.0=py310h8d17308_4 - arrow=1.3.0=pyhd8ed1ab_0 - asciitree=0.3.3=py_2 - - astroid=3.2.2=py310h5588dad_0 + - astroid=3.2.3=py310h5588dad_0 - asttokens=2.4.1=pyhd8ed1ab_0 - async-lru=2.0.4=pyhd8ed1ab_0 - attrs=23.2.0=pyh71513ae_0 @@ -35,7 +35,7 @@ dependencies: - colorama=0.4.6=pyhd8ed1ab_0 - comm=0.2.2=pyhd8ed1ab_0 - contourpy=1.2.1=py310h232114e_0 - - coverage=7.5.4=py310ha8f682b_0 + - coverage=7.6.0=py310ha8f682b_0 - cycler=0.12.1=pyhd8ed1ab_0 - cytoolz=0.12.3=py310h8d17308_0 - dask-core=2024.6.2=pyhd8ed1ab_0 @@ -98,7 +98,7 @@ dependencies: - jupyterlab_pygments=0.3.0=pyhd8ed1ab_1 - jupyterlab_server=2.27.2=pyhd8ed1ab_0 - jupyterlab_widgets=1.1.8=pyhd8ed1ab_0 - - jupytext=1.16.2=pyhd8ed1ab_1 + - jupytext=1.16.3=pyhd8ed1ab_0 - kiwisolver=1.4.5=py310h232114e_1 - krb5=1.21.3=hdf4eb48_0 - latexcodec=2.0.1=pyh9f0ad1d_0 @@ -125,7 +125,7 @@ dependencies: - libtiff=4.6.0=hddb2be6_3 - libwebp-base=1.4.0=hcfcfb64_0 - libxcb=1.16=hcd874cb_0 - - libxml2=2.12.7=h283a6d9_1 + - libxml2=2.12.7=h0f24e4e_2 - libzlib=1.3.1=h2466b09_1 - linkify-it-py=2.0.3=pyhd8ed1ab_0 - locket=1.0.0=pyhd8ed1ab_0 @@ -248,7 +248,7 @@ dependencies: - tk=8.6.13=h5226925_1 - toml=0.10.2=pyhd8ed1ab_0 - tomli=2.0.1=pyhd8ed1ab_0 - - tomlkit=0.12.5=pyha770c72_0 + - tomlkit=0.13.0=pyha770c72_0 - toolz=0.12.1=pyhd8ed1ab_0 - tornado=6.4.1=py310ha8f682b_0 - tqdm=4.66.4=pyhd8ed1ab_0 @@ -286,12 +286,12 @@ dependencies: - zstd=1.5.6=h0ea2cb4_0 - pip: - empymod === 2.3.1 - - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@7ca41cbb8d13463e28aec287ef556d131676d0f3 + - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@6dd821c01243dc4d52df5e62817c5d6f94c57916 - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@21ce81d279c206ce0a279377168ce50e0a35d3d2 - llvmlite === 0.43.0 - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg@b643f1cb9a9fee76b5e4bd7ed4f1b7a65d1646ec - numba === 0.60.0 - - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@8b0749e6797c393aaa0d79e34ee199708f448175 + - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@f9d919b21d384b454082e4eb8bde8f67d5242e01 - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps@13c05a3d90fcf2bc37f4d752affbda277c61b8b0 - scooby === 0.10.0 diff --git a/environments/py-3.10-win-64.conda.lock.yml b/environments/py-3.10-win-64.conda.lock.yml index e16bbbb9..ceb206fc 100644 --- a/environments/py-3.10-win-64.conda.lock.yml +++ b/environments/py-3.10-win-64.conda.lock.yml @@ -64,7 +64,7 @@ dependencies: - libtiff=4.6.0=hddb2be6_3 - libwebp-base=1.4.0=hcfcfb64_0 - libxcb=1.16=hcd874cb_0 - - libxml2=2.12.7=h283a6d9_1 + - libxml2=2.12.7=h0f24e4e_2 - libzlib=1.3.1=h2466b09_1 - locket=1.0.0=pyhd8ed1ab_0 - m2w64-gcc-libgfortran=5.3.0=6 @@ -138,12 +138,12 @@ dependencies: - zstd=1.5.6=h0ea2cb4_0 - pip: - empymod === 2.3.1 - - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@7ca41cbb8d13463e28aec287ef556d131676d0f3 + - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@6dd821c01243dc4d52df5e62817c5d6f94c57916 - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@21ce81d279c206ce0a279377168ce50e0a35d3d2 - llvmlite === 0.43.0 - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg@b643f1cb9a9fee76b5e4bd7ed4f1b7a65d1646ec - numba === 0.60.0 - - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@8b0749e6797c393aaa0d79e34ee199708f448175 + - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@f9d919b21d384b454082e4eb8bde8f67d5242e01 - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps@13c05a3d90fcf2bc37f4d752affbda277c61b8b0 - scooby === 0.10.0 diff --git a/py-3.10.conda-lock.yml b/py-3.10.conda-lock.yml index 9187192b..767cd432 100644 --- a/py-3.10.conda-lock.yml +++ b/py-3.10.conda-lock.yml @@ -132,11 +132,11 @@ package: manager: conda platform: linux-64 dependencies: - exceptiongroup: '>=1.0.2' - idna: '>=2.8' python: '>=3.8' sniffio: '>=1.1' typing_extensions: '>=4.1' + idna: '>=2.8' + exceptiongroup: '>=1.0.2' url: https://conda.anaconda.org/conda-forge/noarch/anyio-4.4.0-pyhd8ed1ab_0.conda hash: md5: 1fa97c6e8db1f82c64ff17a5efc4ae8e @@ -164,9 +164,9 @@ package: manager: conda platform: linux-64 dependencies: + typing-extensions: '' argon2-cffi-bindings: '' python: '>=3.7' - typing-extensions: '' url: https://conda.anaconda.org/conda-forge/noarch/argon2-cffi-23.1.0-pyhd8ed1ab_0.conda hash: md5: 3afef1f55a1366b4d3b6a0d92e2235e4 @@ -192,10 +192,10 @@ package: manager: conda platform: linux-64 dependencies: - cffi: '>=1.0.1' libgcc-ng: '>=12' - python: '>=3.10,<3.11.0a0' python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' + cffi: '>=1.0.1' url: https://conda.anaconda.org/conda-forge/linux-64/argon2-cffi-bindings-21.2.0-py310h2372a71_4.conda hash: md5: 68ee85860502d53c8cbfa0e4cef0f6cb @@ -207,12 +207,12 @@ package: manager: conda platform: win-64 dependencies: - cffi: '>=1.0.1' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* - ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' + ucrt: '>=10.0.20348.0' vc14_runtime: '>=14.29.30139' + python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' + cffi: '>=1.0.1' url: https://conda.anaconda.org/conda-forge/win-64/argon2-cffi-bindings-21.2.0-py310h8d17308_4.conda hash: md5: ece29c9dd68f962fd416a3ddcce24080 @@ -272,31 +272,31 @@ package: category: main optional: false - name: astroid - version: 3.2.2 + version: 3.2.3 manager: conda platform: linux-64 dependencies: - python: '>=3.10,<3.11.0a0' python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' typing-extensions: '>=4.0.0' - url: https://conda.anaconda.org/conda-forge/linux-64/astroid-3.2.2-py310hff52083_0.conda + url: https://conda.anaconda.org/conda-forge/linux-64/astroid-3.2.3-py310hff52083_0.conda hash: - md5: 05ed062ee2ba7319981fce0434193d19 - sha256: 02d9b997194f546b1df7046ea624dbfc56e7f0e7ba83dccfb7ead879b907f37a + md5: be0dfe7c8d18122759891a2960e43cef + sha256: 8d6e43dbde819f0a9bf87c85eb8ede3514c32ac2055ed7aed61dd98a6f611249 category: dev optional: true - name: astroid - version: 3.2.2 + version: 3.2.3 manager: conda platform: win-64 dependencies: - python: '>=3.10,<3.11.0a0' python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' typing-extensions: '>=4.0.0' - url: https://conda.anaconda.org/conda-forge/win-64/astroid-3.2.2-py310h5588dad_0.conda + url: https://conda.anaconda.org/conda-forge/win-64/astroid-3.2.3-py310h5588dad_0.conda hash: - md5: 8fb4a9ea5dbbc3108bc70cffa32a3b7f - sha256: 5cbec3881ca2913a01bcde466cc29170ab83362d35985fdf1ab2364bc2bd0794 + md5: 17e5b6814b1f3fa4e6ca7b9c39033f7f + sha256: d1efbfdad89b1d17e440ad36682650959a0dad1268271b48fff23d102c4a135e category: dev optional: true - name: asttokens @@ -380,9 +380,9 @@ package: manager: conda platform: linux-64 dependencies: - python: '>=3.7' - pytz: '' setuptools: '' + pytz: '' + python: '>=3.7' url: https://conda.anaconda.org/conda-forge/noarch/babel-2.14.0-pyhd8ed1ab_0.conda hash: md5: 9669586875baeced8fc30c0826c3270e @@ -434,11 +434,11 @@ package: manager: conda platform: linux-64 dependencies: + setuptools: '' packaging: '' + webencodings: '' python: '>=3.6' - setuptools: '' six: '>=1.9.0' - webencodings: '' url: https://conda.anaconda.org/conda-forge/noarch/bleach-6.1.0-pyhd8ed1ab_0.conda hash: md5: 0ed9d7c0e9afa7c025807a9a8136ea3e @@ -466,10 +466,10 @@ package: manager: conda platform: linux-64 dependencies: - brotli-bin: 1.1.0 + libgcc-ng: '>=12' libbrotlidec: 1.1.0 libbrotlienc: 1.1.0 - libgcc-ng: '>=12' + brotli-bin: 1.1.0 url: https://conda.anaconda.org/conda-forge/linux-64/brotli-1.1.0-hd590300_1.conda hash: md5: f27a24d46e3ea7b70a1f98e50c62508f @@ -481,12 +481,12 @@ package: manager: conda platform: win-64 dependencies: - brotli-bin: 1.1.0 - libbrotlidec: 1.1.0 - libbrotlienc: 1.1.0 - ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' + ucrt: '>=10.0.20348.0' vc14_runtime: '>=14.29.30139' + libbrotlidec: 1.1.0 + libbrotlienc: 1.1.0 + brotli-bin: 1.1.0 url: https://conda.anaconda.org/conda-forge/win-64/brotli-1.1.0-hcfcfb64_1.conda hash: md5: f47f6db2528e38321fb00ae31674c133 @@ -498,9 +498,9 @@ package: manager: conda platform: linux-64 dependencies: + libgcc-ng: '>=12' libbrotlidec: 1.1.0 libbrotlienc: 1.1.0 - libgcc-ng: '>=12' url: https://conda.anaconda.org/conda-forge/linux-64/brotli-bin-1.1.0-hd590300_1.conda hash: md5: 39f910d205726805a958da408ca194ba @@ -512,11 +512,11 @@ package: manager: conda platform: win-64 dependencies: - libbrotlidec: 1.1.0 - libbrotlienc: 1.1.0 - ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' + ucrt: '>=10.0.20348.0' vc14_runtime: '>=14.29.30139' + libbrotlidec: 1.1.0 + libbrotlienc: 1.1.0 url: https://conda.anaconda.org/conda-forge/win-64/brotli-bin-1.1.0-hcfcfb64_1.conda hash: md5: 0105229d7c5fabaa840043a86c10ec64 @@ -530,8 +530,8 @@ package: dependencies: libgcc-ng: '>=12' libstdcxx-ng: '>=12' - python: '>=3.10,<3.11.0a0' python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' url: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.1.0-py310hc6cd4ac_1.conda hash: md5: 1f95722c94f00b69af69a066c7433714 @@ -543,11 +543,11 @@ package: manager: conda platform: win-64 dependencies: - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* - ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' + ucrt: '>=10.0.20348.0' vc14_runtime: '>=14.29.30139' + python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' url: https://conda.anaconda.org/conda-forge/win-64/brotli-python-1.1.0-py310h00ffb61_1.conda hash: md5: 42bfbc1d41cbe2696a3c9d8b0342324f @@ -571,8 +571,8 @@ package: manager: conda platform: win-64 dependencies: - ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' + ucrt: '>=10.0.20348.0' vc14_runtime: '>=14.29.30139' url: https://conda.anaconda.org/conda-forge/win-64/bzip2-1.0.8-hcfcfb64_5.conda hash: @@ -581,15 +581,15 @@ package: category: main optional: false - name: c-ares - version: 1.28.1 + version: 1.32.0 manager: conda platform: linux-64 dependencies: libgcc-ng: '>=12' - url: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.28.1-hd590300_0.conda + url: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.32.0-h4ab18f5_0.conda hash: - md5: dcde58ff9a1f30b0037a2315d1846d1f - sha256: cb25063f3342149c7924b21544109696197a9d774f1407567477d4f3026bf38a + md5: 7f3a7d68b591fcace97c29c6af6d9d64 + sha256: 5e24ee6edcea875dfaa7fb26d638d96f47f60c0b6a41dec9271ac0525a49042f category: main optional: false - name: ca-certificates @@ -691,11 +691,11 @@ package: manager: conda platform: linux-64 dependencies: - libffi: '>=3.4,<4.0a0' - libgcc-ng: '>=12' pycparser: '' - python: '>=3.10,<3.11.0a0' + libgcc-ng: '>=12' python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' + libffi: '>=3.4,<4.0a0' url: https://conda.anaconda.org/conda-forge/linux-64/cffi-1.16.0-py310h2fee648_0.conda hash: md5: 45846a970e71ac98fd327da5d40a0a2c @@ -708,11 +708,11 @@ package: platform: win-64 dependencies: pycparser: '' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* - ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' + ucrt: '>=10.0.20348.0' vc14_runtime: '>=14.29.30139' + python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' url: https://conda.anaconda.org/conda-forge/win-64/cffi-1.16.0-py310h8d17308_0.conda hash: md5: b4bcce1a7ea1164e6dcea6c4f00d962b @@ -851,9 +851,9 @@ package: dependencies: libgcc-ng: '>=12' libstdcxx-ng: '>=12' - numpy: '>=1.20' - python: '>=3.10,<3.11.0a0' python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' + numpy: '>=1.20' url: https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.2.1-py310hd41b1e2_0.conda hash: md5: 60ee50b1968f802f2a487ba36d4cce0d @@ -865,12 +865,12 @@ package: manager: conda platform: win-64 dependencies: - numpy: '>=1.20' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* - ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' + ucrt: '>=10.0.20348.0' vc14_runtime: '>=14.29.30139' + python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' + numpy: '>=1.20' url: https://conda.anaconda.org/conda-forge/win-64/contourpy-1.2.1-py310h232114e_0.conda hash: md5: 69968a52474279f0c44c08c87752096f @@ -878,35 +878,36 @@ package: category: main optional: false - name: coverage - version: 7.5.4 + version: 7.6.0 manager: conda platform: linux-64 dependencies: + tomli: '' libgcc-ng: '>=12' - python: '>=3.10,<3.11.0a0' python_abi: 3.10.* - tomli: '' - url: https://conda.anaconda.org/conda-forge/linux-64/coverage-7.5.4-py310hc51659f_0.conda + python: '>=3.10,<3.11.0a0' + __glibc: '>=2.17,<3.0.a0' + url: https://conda.anaconda.org/conda-forge/linux-64/coverage-7.6.0-py310h5b4e0ec_0.conda hash: - md5: b27dd9fc9a5f0ffd01999f2c8a53ec0b - sha256: a28441edb664e76f6776830b3eea80914e1d236d135964813ccfcd7ca2d23c1d + md5: a13d72c877b47870042897a0e667cd3a + sha256: 536aeb4327b835552b4f431b1e717a95c1d26eaac400a261c2dac43cd0a648a4 category: dev optional: true - name: coverage - version: 7.5.4 + version: 7.6.0 manager: conda platform: win-64 dependencies: - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* tomli: '' - ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' + ucrt: '>=10.0.20348.0' vc14_runtime: '>=14.29.30139' - url: https://conda.anaconda.org/conda-forge/win-64/coverage-7.5.4-py310ha8f682b_0.conda + python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' + url: https://conda.anaconda.org/conda-forge/win-64/coverage-7.6.0-py310ha8f682b_0.conda hash: - md5: 482417204036a723d4a516c234ff0ebd - sha256: 2a75c92abf423a8785c72394744dd0374663b59f7d9be561aa5d3d23d9fd74bb + md5: 03ace5584d20b0c6c547f5f4c0a08a51 + sha256: 5a3a62aa698517bca10a941f55f29877ad42abb54f77bb06e0a45b653e29357b category: dev optional: true - name: cycler @@ -939,8 +940,8 @@ package: platform: linux-64 dependencies: libgcc-ng: '>=12' - python: '>=3.10,<3.11.0a0' python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' toolz: '>=0.10.0' url: https://conda.anaconda.org/conda-forge/linux-64/cytoolz-0.12.3-py310h2372a71_0.conda hash: @@ -953,12 +954,12 @@ package: manager: conda platform: win-64 dependencies: - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* - toolz: '>=0.10.0' - ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' + ucrt: '>=10.0.20348.0' vc14_runtime: '>=14.29.30139' + python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' + toolz: '>=0.10.0' url: https://conda.anaconda.org/conda-forge/win-64/cytoolz-0.12.3-py310h8d17308_0.conda hash: md5: 6051dfb72d955bc0355c2a38a5d85493 @@ -970,15 +971,15 @@ package: manager: conda platform: linux-64 dependencies: - click: '>=8.1' - cloudpickle: '>=1.5.0' - fsspec: '>=2021.09.0' - importlib_metadata: '>=4.13.0' - packaging: '>=20.0' - partd: '>=1.2.0' python: '>=3.9' + packaging: '>=20.0' pyyaml: '>=5.3.1' + cloudpickle: '>=1.5.0' toolz: '>=0.10.0' + click: '>=8.1' + partd: '>=1.2.0' + importlib_metadata: '>=4.13.0' + fsspec: '>=2021.09.0' url: https://conda.anaconda.org/conda-forge/noarch/dask-core-2024.6.2-pyhd8ed1ab_0.conda hash: md5: 048ca0ec2cd1f3995d2d36dec0efd99a @@ -1036,8 +1037,8 @@ package: dependencies: libgcc-ng: '>=12' libstdcxx-ng: '>=12' - python: '>=3.10,<3.11.0a0' python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' url: https://conda.anaconda.org/conda-forge/linux-64/debugpy-1.8.2-py310h76e45a6_0.conda hash: md5: 285568244bd06fbe2cccf2ee1617f582 @@ -1049,11 +1050,11 @@ package: manager: conda platform: win-64 dependencies: - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* - ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' + ucrt: '>=10.0.20348.0' vc14_runtime: '>=14.29.30139' + python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' url: https://conda.anaconda.org/conda-forge/win-64/debugpy-1.8.2-py310h9e98ed7_0.conda hash: md5: 6edfa966360b5df86d7277b0a4829381 @@ -1139,9 +1140,9 @@ package: dependencies: libgcc-ng: '>=12' libstdcxx-ng: '>=12' - numpy: '>=1.22.4,<2.0a0' - python: '>=3.10,<3.11.0a0' python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' + numpy: '>=1.22.4,<2.0a0' scipy: '>=1.8' url: https://conda.anaconda.org/conda-forge/linux-64/discretize-0.10.0-py310hcb52e73_1.conda hash: @@ -1154,13 +1155,13 @@ package: manager: conda platform: win-64 dependencies: - numpy: '>=1.22.4,<2.0a0' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* - scipy: '>=1.8' - ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' + ucrt: '>=10.0.20348.0' vc14_runtime: '>=14.29.30139' + python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' + numpy: '>=1.22.4,<2.0a0' + scipy: '>=1.8' url: https://conda.anaconda.org/conda-forge/win-64/discretize-0.10.0-py310h4856b71_1.conda hash: md5: 7af88a12920a5b2b5ae459a5dd032019 @@ -1172,23 +1173,23 @@ package: manager: conda platform: linux-64 dependencies: - click: '>=8.0' - cloudpickle: '>=1.5.0' - cytoolz: '>=0.10.1' - dask-core: '>=2024.6.2,<2024.6.3.0a0' - jinja2: '>=2.10.3' - locket: '>=1.0.0' - msgpack-python: '>=1.0.0' - packaging: '>=20.0' - 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libpng: '>=1.6.39,<1.7.0a0' - libzlib: '>=1.2.13,<2.0.0a0' - ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' + ucrt: '>=10.0.20348.0' vc14_runtime: '>=14.29.30139' + libzlib: '>=1.2.13,<2.0.0a0' + libpng: '>=1.6.39,<1.7.0a0' url: https://conda.anaconda.org/conda-forge/win-64/freetype-2.12.1-hdaf720e_2.conda hash: md5: 3761b23693f768dc75a8fd0a73ca053f @@ -1470,9 +1471,9 @@ package: libdlf: '' libgcc-ng: '>=12' libstdcxx-ng: '>=12' - numpy: '>=1.22.4,<2.0a0' - python: '>=3.10,<3.11.0a0' python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' + numpy: '>=1.22.4,<2.0a0' scipy: '>=1.8' url: https://conda.anaconda.org/conda-forge/linux-64/geoana-0.5.0-py310hcb52e73_4.conda hash: @@ -1486,13 +1487,13 @@ package: platform: win-64 dependencies: libdlf: '' - numpy: '>=1.22.4,<2.0a0' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* - scipy: '>=1.8' - ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' + ucrt: '>=10.0.20348.0' vc14_runtime: '>=14.29.30139' + python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' + numpy: '>=1.22.4,<2.0a0' + scipy: '>=1.8' url: https://conda.anaconda.org/conda-forge/win-64/geoana-0.5.0-py310h4856b71_4.conda hash: md5: ea10d52800881e088c64ee3f2ea024e8 @@ -1506,8 +1507,8 @@ package: dependencies: libgcc-ng: '>=12' libstdcxx-ng: '>=12' - python: '>=3.10,<3.11.0a0' python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' url: https://conda.anaconda.org/conda-forge/linux-64/greenlet-3.0.3-py310hc6cd4ac_0.conda hash: md5: fb478fd83c001cbf8ab01c29b857262e @@ -1519,11 +1520,11 @@ package: manager: conda platform: win-64 dependencies: - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* - ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' + ucrt: '>=10.0.20348.0' vc14_runtime: '>=14.29.30139' + python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' url: https://conda.anaconda.org/conda-forge/win-64/greenlet-3.0.3-py310h00ffb61_0.conda hash: md5: e4b85f3e27b8210d5736906f8e11d149 @@ -1535,8 +1536,8 @@ package: manager: conda platform: linux-64 dependencies: - python: '>=3' typing_extensions: '' + python: '>=3' url: https://conda.anaconda.org/conda-forge/noarch/h11-0.14.0-pyhd8ed1ab_0.tar.bz2 hash: md5: b21ed0883505ba1910994f1df031a428 @@ -1561,9 +1562,9 @@ package: manager: conda platform: linux-64 dependencies: + python: '>=3.6.1' hpack: '>=4.0,<5' hyperframe: '>=6.0,<7' - python: '>=3.6.1' url: https://conda.anaconda.org/conda-forge/noarch/h2-4.1.0-pyhd8ed1ab_0.tar.bz2 hash: md5: b748fbf7060927a6e82df7cb5ee8f097 @@ -1590,11 +1591,11 @@ package: platform: linux-64 dependencies: cached-property: '' - hdf5: '>=1.14.3,<1.14.4.0a0' libgcc-ng: '>=12' - numpy: '>=1.19,<3' - python: '>=3.10,<3.11.0a0' python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' + hdf5: '>=1.14.3,<1.14.4.0a0' + numpy: '>=1.19,<3' url: https://conda.anaconda.org/conda-forge/linux-64/h5py-3.11.0-nompi_py310hf054cd7_102.conda hash: md5: f74f9a0a4d713f5eec89917883f4ae7e @@ -1607,13 +1608,13 @@ package: platform: win-64 dependencies: cached-property: '' - hdf5: '>=1.14.3,<1.14.4.0a0' - numpy: '>=1.19,<3' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* - ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' + ucrt: '>=10.0.20348.0' vc14_runtime: '>=14.29.30139' + python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' + numpy: '>=1.19,<3' + hdf5: '>=1.14.3,<1.14.4.0a0' url: https://conda.anaconda.org/conda-forge/win-64/h5py-3.11.0-nompi_py310h2b0be38_102.conda hash: md5: 6ea1515f0984ae6e916cc1f124e6b664 @@ -1625,14 +1626,14 @@ package: manager: conda platform: linux-64 dependencies: - libaec: '>=1.1.3,<2.0a0' - libcurl: '>=8.8.0,<9.0a0' - libgcc-ng: '>=12' libgfortran-ng: '' - libgfortran5: '>=12.3.0' + libgcc-ng: '>=12' libstdcxx-ng: '>=12' - libzlib: '>=1.2.13,<2.0a0' + libgfortran5: '>=12.3.0' openssl: '>=3.3.1,<4.0a0' + libzlib: '>=1.2.13,<2.0a0' + libcurl: '>=8.8.0,<9.0a0' + libaec: '>=1.1.3,<2.0a0' url: https://conda.anaconda.org/conda-forge/linux-64/hdf5-1.14.3-nompi_hdf9ad27_105.conda hash: md5: 7e1729554e209627636a0f6fabcdd115 @@ -1644,13 +1645,13 @@ package: manager: conda platform: win-64 dependencies: - libaec: '>=1.1.3,<2.0a0' - libcurl: '>=8.8.0,<9.0a0' - libzlib: '>=1.2.13,<2.0a0' - openssl: '>=3.3.1,<4.0a0' - ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' + ucrt: '>=10.0.20348.0' vc14_runtime: '>=14.29.30139' + openssl: '>=3.3.1,<4.0a0' + libzlib: '>=1.2.13,<2.0a0' + libcurl: '>=8.8.0,<9.0a0' + libaec: '>=1.1.3,<2.0a0' url: https://conda.anaconda.org/conda-forge/win-64/hdf5-1.14.3-nompi_h2b43c12_105.conda hash: md5: 5788de34381caf624b78c4981618dc0a @@ -1686,14 +1687,14 @@ package: manager: conda platform: linux-64 dependencies: - anyio: '>=3.0,<5.0' certifi: '' - h11: '>=0.13,<0.15' - h2: '>=3,<5' python: '>=3.8' sniffio: 1.* - url: https://conda.anaconda.org/conda-forge/noarch/httpcore-1.0.5-pyhd8ed1ab_0.conda - hash: + h2: '>=3,<5' + anyio: '>=3.0,<5.0' + h11: '>=0.13,<0.15' + url: https://conda.anaconda.org/conda-forge/noarch/httpcore-1.0.5-pyhd8ed1ab_0.conda + hash: md5: a6b9a0158301e697e4d0a36a3d60e133 sha256: 4025644200eefa0598e4600a66fd4804a57d9fd7054a5c8c45e508fd875e0b84 category: dev @@ -1720,12 +1721,12 @@ package: manager: conda platform: linux-64 dependencies: - anyio: '' certifi: '' - httpcore: 1.* idna: '' - python: '>=3.8' + anyio: '' sniffio: '' + python: '>=3.8' + httpcore: 1.* url: https://conda.anaconda.org/conda-forge/noarch/httpx-0.27.0-pyhd8ed1ab_0.conda hash: md5: 9f359af5a886fd6ca6b2b6ea02e58332 @@ -1950,20 +1951,20 @@ package: manager: conda platform: linux-64 dependencies: - __linux: '' - comm: '>=0.1.1' - debugpy: '>=1.6.5' - ipython: '>=7.23.1' - jupyter_client: '>=6.1.12' - jupyter_core: '>=4.12,!=5.0.*' - matplotlib-inline: '>=0.1' - nest-asyncio: '' packaging: '' psutil: '' + nest-asyncio: '' + __linux: '' python: '>=3.8' - pyzmq: '>=24' tornado: '>=6.1' + jupyter_client: '>=6.1.12' + jupyter_core: '>=4.12,!=5.0.*' + ipython: '>=7.23.1' + matplotlib-inline: '>=0.1' + debugpy: '>=1.6.5' + comm: '>=0.1.1' traitlets: '>=5.4.0' + pyzmq: '>=24' url: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.5-pyh3099207_0.conda hash: md5: b40131ab6a36ac2c09b7c57d4d3fbf99 @@ -2003,14 +2004,14 @@ package: __unix: '' decorator: '' exceptiongroup: '' - jedi: '>=0.16' matplotlib-inline: '' - pexpect: '>4.3' + stack_data: '' pickleshare: '' - prompt-toolkit: '>=3.0.41,<3.1.0' - pygments: '>=2.4.0' python: '>=3.10' - stack_data: '' + pygments: '>=2.4.0' + jedi: '>=0.16' + pexpect: '>4.3' + prompt-toolkit: '>=3.0.41,<3.1.0' traitlets: '>=5.13.0' typing_extensions: '>=4.6' url: https://conda.anaconda.org/conda-forge/noarch/ipython-8.26.0-pyh707e725_0.conda @@ -2072,12 +2073,12 @@ package: manager: conda platform: linux-64 dependencies: - comm: '>=0.1.3' + python: '>=3.3' ipython: '>=4.0.0' + traitlets: '>=4.3.1' ipython_genutils: '>=0.2.0,<0.3.0' + comm: '>=0.1.3' jupyterlab_widgets: '>=1.0.0,<3' - python: '>=3.3' - traitlets: '>=4.3.1' widgetsnbextension: '>=3.6.7,<3.7.0' url: https://conda.anaconda.org/conda-forge/noarch/ipywidgets-7.8.2-pyhd8ed1ab_0.conda hash: @@ -2108,8 +2109,8 @@ package: manager: conda platform: linux-64 dependencies: - arrow: '>=0.15.0' python: '>=3.7' + arrow: '>=0.15.0' url: https://conda.anaconda.org/conda-forge/noarch/isoduration-20.11.0-pyhd8ed1ab_0.tar.bz2 hash: md5: 4cb68948e0b8429534380243d063a27a @@ -2134,8 +2135,8 @@ package: manager: conda platform: linux-64 dependencies: - python: '>=3.8,<4.0' setuptools: '' + python: '>=3.8,<4.0' url: https://conda.anaconda.org/conda-forge/noarch/isort-5.13.2-pyhd8ed1ab_0.conda hash: md5: 1d25ed2b95b92b026aaa795eabec8d91 @@ -2160,8 +2161,8 @@ package: manager: conda platform: linux-64 dependencies: - parso: '>=0.8.3,<0.9.0' python: '>=3.6' + parso: '>=0.8.3,<0.9.0' url: https://conda.anaconda.org/conda-forge/noarch/jedi-0.19.1-pyhd8ed1ab_0.conda hash: md5: 81a3be0b2023e1ea8555781f0ad904a2 @@ -2186,8 +2187,8 @@ package: manager: conda platform: linux-64 dependencies: - markupsafe: '>=2.0' python: '>=3.7' + markupsafe: '>=2.0' url: https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.4-pyhd8ed1ab_0.conda hash: md5: 7b86ecb7d3557821c649b3c31e3eb9f2 @@ -2212,8 +2213,8 @@ package: manager: conda platform: linux-64 dependencies: - python: '>=3.8' setuptools: '' + python: '>=3.8' url: https://conda.anaconda.org/conda-forge/noarch/joblib-1.4.2-pyhd8ed1ab_0.conda hash: md5: 25df261d4523d9f9783bcdb7208d872f @@ -2262,8 +2263,8 @@ package: manager: conda platform: linux-64 dependencies: - python: '>=3.10,<3.11.0a0' python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' url: https://conda.anaconda.org/conda-forge/linux-64/jsonpointer-3.0.0-py310hff52083_0.conda hash: md5: e546c847260e094f41d0d2f8d17fcbdd @@ -2275,8 +2276,8 @@ package: manager: conda platform: win-64 dependencies: - python: '>=3.10,<3.11.0a0' python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' url: https://conda.anaconda.org/conda-forge/win-64/jsonpointer-3.0.0-py310h5588dad_0.conda hash: md5: de28f44545519f90e3068715ad340c97 @@ -2288,11 +2289,11 @@ package: manager: conda platform: linux-64 dependencies: + python: '>=3.8' attrs: '>=22.2.0' importlib_resources: '>=1.4.0' - jsonschema-specifications: '>=2023.03.6' pkgutil-resolve-name: '>=1.3.10' - python: '>=3.8' + jsonschema-specifications: '>=2023.03.6' referencing: '>=0.28.4' rpds-py: '>=0.7.1' url: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.23.0-pyhd8ed1ab_0.conda @@ -2324,8 +2325,8 @@ package: manager: conda platform: linux-64 dependencies: - importlib_resources: '>=1.4.0' python: '>=3.8' + importlib_resources: '>=1.4.0' referencing: '>=0.31.0' url: https://conda.anaconda.org/conda-forge/noarch/jsonschema-specifications-2023.12.1-pyhd8ed1ab_0.conda hash: @@ -2352,14 +2353,14 @@ package: manager: conda platform: linux-64 dependencies: - fqdn: '' idna: '' + rfc3339-validator: '' + uri-template: '' + fqdn: '' isoduration: '' jsonpointer: '>1.13' - jsonschema: '>=4.23.0,<4.23.1.0a0' - rfc3339-validator: '' rfc3986-validator: '>0.1.0' - uri-template: '' + jsonschema: '>=4.23.0,<4.23.1.0a0' webcolors: '>=24.6.0' url: https://conda.anaconda.org/conda-forge/noarch/jsonschema-with-format-nongpl-4.23.0-hd8ed1ab_0.conda hash: @@ -2392,25 +2393,25 @@ package: manager: conda platform: linux-64 dependencies: - click: '>=7.1,<9' - docutils: '>=0.15,<0.19' + pyyaml: '' jinja2: '' + sphinx-copybutton: '' + sphinx-togglebutton: '' + sphinx-comments: '' + python: '>=3.7' + click: '>=7.1,<9' + sphinx: '>=4,<6' + sphinx-multitoc-numbering: '>=0.1.3,<0.2.0' + sphinxcontrib-bibtex: '>=2.2.0,<=2.5.0' jsonschema: <5 + docutils: '>=0.15,<0.19' linkify-it-py: '>=2.0.0,<2.1.0' + sphinx-external-toc: '>=0.3.1,<0.4.0' + sphinx-jupyterbook-latex: '>=0.5.2,<0.6.0' myst-nb: '>=0.17.1,<0.18.0' - python: '>=3.7' - pyyaml: '' - sphinx: '>=4,<6' sphinx-book-theme: '>=1.0.0,<1.1.0' - sphinx-comments: '' - sphinx-copybutton: '' sphinx-design: '>=0.3.0,<0.4.0' - sphinx-external-toc: '>=0.3.1,<0.4.0' - sphinx-jupyterbook-latex: '>=0.5.2,<0.6.0' - sphinx-multitoc-numbering: '>=0.1.3,<0.2.0' sphinx-thebe: '>=0.2.0,<0.3.0' - sphinx-togglebutton: '' - sphinxcontrib-bibtex: '>=2.2.0,<=2.5.0' url: https://conda.anaconda.org/conda-forge/noarch/jupyter-book-0.15.1-pyhd8ed1ab_0.conda hash: md5: f10d556d3b3dc0aeae6aee37c412ea60 @@ -2452,15 +2453,15 @@ package: manager: conda platform: linux-64 dependencies: - attrs: '' + pyyaml: '' click: '' importlib-metadata: '' - nbclient: '>=0.2,<0.8' + tabulate: '' nbformat: '' + attrs: '' python: '>=3.8' - pyyaml: '' sqlalchemy: '>=1.3.12,<3' - tabulate: '' + nbclient: '>=0.2,<0.8' url: https://conda.anaconda.org/conda-forge/noarch/jupyter-cache-0.6.1-pyhd8ed1ab_0.conda hash: md5: 2e360820ae68e3d28e1a5a9d2714ca5c @@ -2492,9 +2493,9 @@ package: manager: conda platform: linux-64 dependencies: + python: '>=3.8' importlib-metadata: '>=4.8.3' jupyter_server: '>=1.1.2' - python: '>=3.8' url: https://conda.anaconda.org/conda-forge/noarch/jupyter-lsp-2.2.5-pyhd8ed1ab_0.conda hash: md5: 885867f6adab3d7ecdf8ab6ca0785f51 @@ -2520,13 +2521,13 @@ package: manager: conda platform: linux-64 dependencies: - importlib_metadata: '>=4.8.3' - jupyter_core: '>=4.12,!=5.0.*' python: '>=3.8' python-dateutil: '>=2.8.2' - pyzmq: '>=23.0' - tornado: '>=6.2' + jupyter_core: '>=4.12,!=5.0.*' + importlib_metadata: '>=4.8.3' traitlets: '>=5.3' + tornado: '>=6.2' + pyzmq: '>=23.0' url: https://conda.anaconda.org/conda-forge/noarch/jupyter_client-8.6.2-pyhd8ed1ab_0.conda hash: md5: 3cdbb2fa84490e5fd44c9f9806c0d292 @@ -2543,8 +2544,8 @@ package: jupyter_core: '>=4.12,!=5.0.*' importlib_metadata: '>=4.8.3' traitlets: '>=5.3' - 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pyyaml: '>=5.3' referencing: '' rfc3339-validator: '' + python: '>=3.8' + pyyaml: '>=5.3' rfc3986-validator: '>=0.1.1' traitlets: '>=5.3' + python-json-logger: '>=2.0.4' + jsonschema-with-format-nongpl: '>=4.18.0' url: https://conda.anaconda.org/conda-forge/noarch/jupyter_events-0.10.0-pyhd8ed1ab_0.conda hash: md5: ed45423c41b3da15ea1df39b1f80c2ca @@ -2625,24 +2626,24 @@ package: manager: conda platform: linux-64 dependencies: - anyio: '>=3.1.0' - argon2-cffi: '>=21.1' + python: '>=3.8' + terminado: '>=0.8.3' + jupyter_core: '>=4.12,!=5.0.*' + tornado: '>=6.2.0' jinja2: '>=3.0.3' + pyzmq: '>=24' + nbconvert-core: '>=6.4.4' + packaging: '>=22.0' jupyter_client: '>=7.4.4' - jupyter_core: '>=4.12,!=5.0.*' + nbformat: '>=5.3.0' + traitlets: '>=5.6.0' + anyio: '>=3.1.0' + send2trash: '>=1.8.2' jupyter_events: '>=0.9.0' + argon2-cffi: '>=21.1' jupyter_server_terminals: '>=0.4.4' - nbconvert-core: '>=6.4.4' - nbformat: '>=5.3.0' overrides: '>=5.0' - packaging: '>=22.0' prometheus_client: '>=0.9' - 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python: '>=3.8' pyyaml: '' + packaging: '' + nbformat: '' tomli: '' - url: https://conda.anaconda.org/conda-forge/noarch/jupytext-1.16.2-pyhd8ed1ab_1.conda + mdit-py-plugins: '' + python: '>=3.8' + markdown-it-py: '>=1.0' + url: https://conda.anaconda.org/conda-forge/noarch/jupytext-1.16.3-pyhd8ed1ab_0.conda hash: - md5: 86aa2d7c9be0af3fcd0b98e89e060446 - sha256: 83b97d188d872f7bc336ae34705224297f26cfecaf1ee4d919da58c72077a050 + md5: cd2b5f8c56bd2f7e890ff06da3700cf6 + sha256: d6a7214f4fe83103f23ff076a4ff5e32428e3709b4a426bfe3bfbab3b881b99f category: dev optional: true - name: jupytext - version: 1.16.2 + version: 1.16.3 manager: conda platform: win-64 dependencies: @@ -2882,10 +2883,10 @@ package: mdit-py-plugins: '' python: '>=3.8' markdown-it-py: '>=1.0' - url: https://conda.anaconda.org/conda-forge/noarch/jupytext-1.16.2-pyhd8ed1ab_1.conda + url: https://conda.anaconda.org/conda-forge/noarch/jupytext-1.16.3-pyhd8ed1ab_0.conda hash: - md5: 86aa2d7c9be0af3fcd0b98e89e060446 - sha256: 83b97d188d872f7bc336ae34705224297f26cfecaf1ee4d919da58c72077a050 + md5: cd2b5f8c56bd2f7e890ff06da3700cf6 + sha256: d6a7214f4fe83103f23ff076a4ff5e32428e3709b4a426bfe3bfbab3b881b99f category: dev optional: true - name: keyutils @@ -2907,8 +2908,8 @@ package: dependencies: libgcc-ng: '>=12' libstdcxx-ng: '>=12' - python: '>=3.10,<3.11.0a0' python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' url: https://conda.anaconda.org/conda-forge/linux-64/kiwisolver-1.4.5-py310hd41b1e2_1.conda hash: md5: b8d67603d43b23ce7e988a5d81a7ab79 @@ -2920,11 +2921,11 @@ package: manager: conda platform: win-64 dependencies: - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* - ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' + ucrt: '>=10.0.20348.0' vc14_runtime: '>=14.29.30139' + python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' url: https://conda.anaconda.org/conda-forge/win-64/kiwisolver-1.4.5-py310h232114e_1.conda hash: md5: a340ed8a9c513e2782cb7feb3cfe665d @@ -2936,11 +2937,11 @@ package: manager: conda platform: linux-64 dependencies: - keyutils: '>=1.6.1,<2.0a0' - libedit: '>=3.1.20191231,<4.0a0' libgcc-ng: '>=12' libstdcxx-ng: '>=12' openssl: '>=3.3.1,<4.0a0' + libedit: '>=3.1.20191231,<4.0a0' + keyutils: '>=1.6.1,<2.0a0' url: https://conda.anaconda.org/conda-forge/linux-64/krb5-1.21.3-h659f571_0.conda hash: md5: 3f43953b7d3fb3aaa1d0d0723d91e368 @@ -2952,10 +2953,10 @@ package: manager: conda platform: win-64 dependencies: - 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python: '>=3.7' uc-micro-py: '' + python: '>=3.7' url: https://conda.anaconda.org/conda-forge/noarch/linkify-it-py-2.0.3-pyhd8ed1ab_0.conda hash: md5: f1b64ca4faf563605cf6f6ca93f9ff3f @@ -3903,8 +3905,8 @@ package: manager: conda platform: win-64 dependencies: - m2w64-gcc-libgfortran: '' m2w64-gcc-libs-core: '' + m2w64-gcc-libgfortran: '' m2w64-gmp: '' m2w64-libwinpthread-git: '' msys2-conda-epoch: '20160418' @@ -3957,9 +3959,9 @@ package: manager: conda platform: linux-64 dependencies: - mdurl: '>=0.1,<1' python: '>=3.7' typing_extensions: '>=3.7.4' + mdurl: '>=0.1,<1' url: https://conda.anaconda.org/conda-forge/noarch/markdown-it-py-2.2.0-pyhd8ed1ab_0.conda hash: md5: b2928a6c6d52d7e3562b4a59c3214e3a @@ -3986,8 +3988,8 @@ package: platform: linux-64 dependencies: libgcc-ng: '>=12' - python: '>=3.10,<3.11.0a0' python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' url: https://conda.anaconda.org/conda-forge/linux-64/markupsafe-2.1.5-py310h2372a71_0.conda hash: md5: f6703fa0214a00bf49d1bef6dc7672d0 @@ -3999,11 +4001,11 @@ package: manager: conda platform: win-64 dependencies: - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* - ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' + ucrt: '>=10.0.20348.0' vc14_runtime: '>=14.29.30139' + python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' url: https://conda.anaconda.org/conda-forge/win-64/markupsafe-2.1.5-py310h8d17308_0.conda hash: md5: eceba0306d8619bd34a650e673d3e6c3 @@ -4015,22 +4017,22 @@ package: manager: conda platform: linux-64 dependencies: - certifi: '>=2020.06.20' - contourpy: '>=1.0.1' - cycler: '>=0.10' - fonttools: '>=4.22.0' - freetype: '>=2.12.1,<3.0a0' - kiwisolver: '>=1.3.1' libgcc-ng: '>=12' libstdcxx-ng: '>=12' + python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' + freetype: '>=2.12.1,<3.0a0' numpy: '>=1.21' packaging: '>=20.0' - pillow: '>=8' - pyparsing: '>=2.3.1' - python: '>=3.10,<3.11.0a0' - python-dateutil: '>=2.7' - python_abi: 3.10.* + cycler: '>=0.10' tk: '>=8.6.13,<8.7.0a0' + certifi: '>=2020.06.20' + python-dateutil: '>=2.7' + fonttools: '>=4.22.0' + contourpy: '>=1.0.1' + pyparsing: '>=2.3.1' + kiwisolver: '>=1.3.1' + pillow: '>=8' url: https://conda.anaconda.org/conda-forge/linux-64/matplotlib-base-3.8.4-py310hef631a5_2.conda hash: md5: b3fa3fc2a0fa8b53b913c94297b12e27 @@ -4042,22 +4044,22 @@ package: manager: conda platform: win-64 dependencies: - certifi: '>=2020.06.20' - contourpy: '>=1.0.1' + vc: '>=14.2,<15' + ucrt: '>=10.0.20348.0' + vc14_runtime: '>=14.29.30139' + python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' + numpy: '>=1.21' + freetype: '>=2.12.1,<3.0a0' + packaging: '>=20.0' cycler: '>=0.10' + certifi: '>=2020.06.20' + python-dateutil: '>=2.7' fonttools: '>=4.22.0' - freetype: '>=2.12.1,<3.0a0' + contourpy: '>=1.0.1' + pyparsing: '>=2.3.1' kiwisolver: '>=1.3.1' - numpy: '>=1.21' - packaging: '>=20.0' pillow: '>=8' - pyparsing: '>=2.3.1' - python: '>=3.10,<3.11.0a0' - python-dateutil: '>=2.7' - python_abi: 3.10.* - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vc14_runtime: '>=14.29.30139' url: https://conda.anaconda.org/conda-forge/win-64/matplotlib-base-3.8.4-py310hadb10a8_2.conda hash: md5: 8f5e26aa64ab245691efb7f87c584060 @@ -4069,8 +4071,8 @@ package: manager: conda platform: linux-64 dependencies: - python: '>=3.6' traitlets: '' + python: '>=3.6' url: https://conda.anaconda.org/conda-forge/noarch/matplotlib-inline-0.1.7-pyhd8ed1ab_0.conda hash: md5: 779345c95648be40d22aaa89de7d4254 @@ -4119,8 +4121,8 @@ package: manager: conda platform: linux-64 dependencies: - markdown-it-py: '>=1.0.0,<4.0.0' python: '>=3.8' + markdown-it-py: '>=1.0.0,<4.0.0' url: https://conda.anaconda.org/conda-forge/noarch/mdit-py-plugins-0.4.1-pyhd8ed1ab_0.conda hash: md5: eb90dd178bcdd0260dfaa6e1cbccf042 @@ -4193,9 +4195,9 @@ package: manager: conda platform: linux-64 dependencies: - _openmp_mutex: '>=4.5' - llvm-openmp: '>=17.0.3' + _openmp_mutex: '*' tbb: 2021.* + llvm-openmp: '>=17.0.3' url: https://conda.anaconda.org/conda-forge/linux-64/mkl-2023.2.0-h84fe81f_50496.conda hash: md5: 81d4a1a57d618adf0152db973d93b2ad @@ -4207,8 +4209,8 @@ package: manager: conda platform: win-64 dependencies: - intel-openmp: 2023.* tbb: 2021.* + intel-openmp: 2023.* url: https://conda.anaconda.org/conda-forge/win-64/mkl-2023.2.0-h6a75c08_50497.conda hash: md5: 064cea9f45531e7b53584acf4bd8b044 @@ -4222,8 +4224,8 @@ package: dependencies: libgcc-ng: '>=12' libstdcxx-ng: '>=12' - python: '>=3.10,<3.11.0a0' python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' url: https://conda.anaconda.org/conda-forge/linux-64/msgpack-python-1.0.8-py310h25c7140_0.conda hash: md5: ad681a3290620ca6196bcd46ed3101cd @@ -4235,11 +4237,11 @@ package: manager: conda platform: win-64 dependencies: - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* - ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' + ucrt: '>=10.0.20348.0' vc14_runtime: '>=14.29.30139' + python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' url: https://conda.anaconda.org/conda-forge/win-64/msgpack-python-1.0.8-py310hc19bc0b_0.conda hash: md5: f1188194dd35d19b490d8d13f6380f19 @@ -4286,17 +4288,17 @@ package: manager: conda platform: linux-64 dependencies: + pyyaml: '' + typing_extensions: '' + ipython: '' importlib-metadata: '' ipykernel: '' - ipython: '' - jupyter-cache: '>=0.5.0,<0.7.0' - myst-parser: '>=0.18.0,<0.19.0' nbclient: '' - nbformat: '>=5.0,<6' python: '>=3.7' - pyyaml: '' + nbformat: '>=5.0,<6' sphinx: '>=4,<6' - typing_extensions: '' + myst-parser: '>=0.18.0,<0.19.0' + jupyter-cache: '>=0.5.0,<0.7.0' url: https://conda.anaconda.org/conda-forge/noarch/myst-nb-0.17.2-pyhd8ed1ab_0.conda hash: md5: 40190b7d06f86b63d28fa78aaa39c023 @@ -4330,14 +4332,14 @@ package: manager: conda platform: linux-64 dependencies: - docutils: '>=0.15,<0.20' + pyyaml: '' + typing-extensions: '' jinja2: '' - 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mistune: '>=2.0.3,<4' - nbclient: '>=0.5.0' - nbformat: '>=5.1' - packaging: '' + jupyter_core: '>=4.7' + traitlets: '>=5.0' pandocfilters: '>=1.4.1' + nbformat: '>=5.1' pygments: '>=2.4.1' - python: '>=3.8' - tinycss2: '' - traitlets: '>=5.0' + nbclient: '>=0.5.0' + mistune: '>=2.0.3,<4' url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.4-pyhd8ed1ab_1.conda hash: md5: e2d2abb421c13456a9a9f80272fdf543 @@ -4482,8 +4484,8 @@ package: manager: conda platform: linux-64 dependencies: - nbconvert-core: 7.16.4 pandoc: '' + nbconvert-core: 7.16.4 url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-pandoc-7.16.4-hd8ed1ab_1.conda hash: md5: 37cec2cf68f4c09563d8bc833791096b @@ -4508,11 +4510,11 @@ package: manager: conda platform: linux-64 dependencies: - jsonschema: '>=2.6' - jupyter_core: '>=4.12,!=5.0.*' python: '>=3.8' - python-fastjsonschema: '>=2.15' + jupyter_core: '>=4.12,!=5.0.*' traitlets: '>=5.1' + jsonschema: '>=2.6' + python-fastjsonschema: '>=2.15' url: https://conda.anaconda.org/conda-forge/noarch/nbformat-5.10.4-pyhd8ed1ab_0.conda hash: md5: 0b57b5368ab7fc7cdc9e3511fa867214 @@ -4576,12 +4578,12 @@ package: manager: conda platform: linux-64 dependencies: - 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python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* - ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' + ucrt: '>=10.0.20348.0' vc14_runtime: '>=14.29.30139' + python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' url: https://conda.anaconda.org/conda-forge/win-64/psutil-6.0.0-py310ha8f682b_0.conda hash: md5: 32f5673b7aa2309dda74ccd01822caca @@ -5293,11 +5295,11 @@ package: manager: conda platform: linux-64 dependencies: - latexcodec: '>=1.0.4' - python: '>=3.6' - pyyaml: '>=3.01' setuptools: '' six: '' + python: '>=3.6' + latexcodec: '>=1.0.4' + pyyaml: '>=3.01' url: https://conda.anaconda.org/conda-forge/noarch/pybtex-0.24.0-pyhd8ed1ab_2.tar.bz2 hash: md5: 2099b86a7399c44c0c61cdb6de6915ba @@ -5325,11 +5327,11 @@ package: manager: conda platform: linux-64 dependencies: - docutils: '>=0.14' - pybtex: '>=0.16' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* setuptools: '' + python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' + pybtex: '>=0.16' + docutils: '>=0.14' url: https://conda.anaconda.org/conda-forge/linux-64/pybtex-docutils-1.0.3-py310hff52083_1.conda hash: md5: 034283fbf3c33795e7fa63b25ddbe70c @@ -5341,11 +5343,11 @@ package: manager: conda platform: win-64 dependencies: - docutils: '>=0.14' - pybtex: '>=0.16' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* setuptools: '' + python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' + pybtex: '>=0.16' + docutils: '>=0.14' url: https://conda.anaconda.org/conda-forge/win-64/pybtex-docutils-1.0.3-py310h5588dad_1.conda hash: md5: a285c3e15bcb7b4b6824377f6b1db8f8 @@ -5381,10 +5383,10 @@ package: manager: conda platform: linux-64 dependencies: - annotated-types: '>=0.4.0' - pydantic-core: 2.20.1 python: '>=3.7' typing-extensions: '>=4.6.1' + annotated-types: '>=0.4.0' + pydantic-core: 2.20.1 url: https://conda.anaconda.org/conda-forge/noarch/pydantic-2.8.2-pyhd8ed1ab_0.conda hash: md5: 539a038a24a959662df1fcaa2cfc5c3e @@ -5411,10 +5413,10 @@ package: manager: conda platform: linux-64 dependencies: - __glibc: '>=2.17,<3.0.a0' libgcc-ng: '>=12' - python: '>=3.10,<3.11.0a0' python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' + __glibc: '>=2.17,<3.0.a0' typing-extensions: '>=4.6.0,!=4.7.0' url: https://conda.anaconda.org/conda-forge/linux-64/pydantic-core-2.20.1-py310h42e942d_0.conda hash: @@ -5427,12 +5429,12 @@ package: manager: conda platform: win-64 dependencies: - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* - typing-extensions: '>=4.6.0,!=4.7.0' - ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' + ucrt: '>=10.0.20348.0' vc14_runtime: '>=14.29.30139' + python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' + typing-extensions: '>=4.6.0,!=4.7.0' url: https://conda.anaconda.org/conda-forge/win-64/pydantic-core-2.20.1-py310hc226416_0.conda hash: md5: 99d16046cf146f48bf0b1d764f85397f @@ -5444,15 +5446,15 @@ package: manager: conda platform: linux-64 dependencies: - accessible-pygments: '' - babel: '' - beautifulsoup4: '' - docutils: '!=0.17.0' packaging: '' - pygments: '>=2.7' + typing_extensions: '' + beautifulsoup4: '' + babel: '' + accessible-pygments: '' python: '>=3.9' + pygments: '>=2.7' sphinx: '>=5.0' - typing_extensions: '' + docutils: '!=0.17.0' url: https://conda.anaconda.org/conda-forge/noarch/pydata-sphinx-theme-0.15.4-pyhd8ed1ab_0.conda hash: md5: c7c50dd5192caa58a05e6a4248a27acb @@ -5485,10 +5487,10 @@ package: platform: linux-64 dependencies: libgcc-ng: '>=12' - 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python: '>=3.10,<3.11.0a0' python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' yaml: '>=0.2.5,<0.3.0a0' url: https://conda.anaconda.org/conda-forge/linux-64/pyyaml-6.0.1-py310h2372a71_1.conda hash: @@ -5998,11 +6000,11 @@ package: manager: conda platform: win-64 dependencies: - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* - ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' + ucrt: '>=10.0.20348.0' vc14_runtime: '>=14.29.30139' + python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' yaml: '>=0.2.5,<0.3.0a0' url: https://conda.anaconda.org/conda-forge/win-64/pyyaml-6.0.1-py310h8d17308_1.conda hash: @@ -6016,10 +6018,10 @@ package: platform: linux-64 dependencies: libgcc-ng: '>=12' - libsodium: '>=1.0.18,<1.0.19.0a0' libstdcxx-ng: '>=12' - python: '>=3.10,<3.11.0a0' python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' + libsodium: '>=1.0.18,<1.0.19.0a0' zeromq: '>=4.3.5,<4.4.0a0' url: https://conda.anaconda.org/conda-forge/linux-64/pyzmq-26.0.3-py310h6883aea_0.conda hash: @@ -6032,12 +6034,12 @@ package: manager: conda platform: win-64 dependencies: - 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click: '>=7.1,<9' - python: '>=3.7' pyyaml: '' + python: '>=3.7' + click: '>=7.1,<9' sphinx: '>=4,<6' url: https://conda.anaconda.org/conda-forge/noarch/sphinx-external-toc-0.3.1-pyhd8ed1ab_1.conda hash: @@ -6760,9 +6762,9 @@ package: manager: conda platform: linux-64 dependencies: + sphinx: '' docutils: '' python: '>=3.6' - sphinx: '' url: https://conda.anaconda.org/conda-forge/noarch/sphinx-togglebutton-0.3.2-pyhd8ed1ab_0.tar.bz2 hash: md5: 382738101934261ea7931d1460e64868 @@ -6815,11 +6817,11 @@ package: platform: linux-64 dependencies: dataclasses: '' - docutils: '>=0.8' - importlib_metadata: '>=3.6' + python: '>=3.6' pybtex: '>=0.24' + importlib_metadata: '>=3.6' + docutils: '>=0.8' pybtex-docutils: '>=1' - python: '>=3.6' sphinx: '>=2.1' url: https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-bibtex-2.5.0-pyhd8ed1ab_0.tar.bz2 hash: @@ -6978,10 +6980,10 @@ package: manager: conda platform: linux-64 dependencies: - greenlet: '!=0.4.17' libgcc-ng: '>=12' - python: '>=3.10,<3.11.0a0' python_abi: 3.10.* + python: '>=3.10,<3.11.0a0' + greenlet: '!=0.4.17' typing-extensions: '>=4.6.0' url: https://conda.anaconda.org/conda-forge/linux-64/sqlalchemy-2.0.31-py310hc51659f_0.conda hash: @@ -6994,13 +6996,13 @@ package: manager: conda platform: win-64 dependencies: - 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name: param-sweeps version: 0.1.8a1 From 7660770d0d319eed360877311c2a8925d955dae6 Mon Sep 17 00:00:00 2001 From: dominiquef Date: Tue, 16 Jul 2024 14:33:56 -0700 Subject: [PATCH 065/350] Beef up into content --- docs/case_study/background.py | 9 ++++++--- docs/case_study/introduction.py | 5 +++-- 2 files changed, 9 insertions(+), 5 deletions(-) diff --git a/docs/case_study/background.py b/docs/case_study/background.py index 9f6507bd..117f0679 100644 --- a/docs/case_study/background.py +++ b/docs/case_study/background.py @@ -5,7 +5,7 @@ # extension: .py # format_name: light # format_version: '1.5' -# jupytext_version: 1.16.1 +# jupytext_version: 1.16.2 # kernelspec: # display_name: Python 3 (ipykernel) # language: python @@ -16,7 +16,9 @@ # # # Background # -# The processing and inversion work focuses on ground and airborne datasets simulated over the Flin Flon model. Extensive drilling has been done over the deposit, as shown in [Figure 2](global_map). +# This tutorial on inversion uses a mix of ground and airborne geophysical datasets simulated over the Flin Flon model. The model is a simplification of a VMS copper-zinc-gold Flin Flon deposit in northern Manitoba, Canada. A synthetic block model was generated from open-source data made available by [Natural Resources Canada (NRCan)](https://ostrnrcan-dostrncan.canada.ca/entities/publication/73d767d8-ee1c-4bab-a2da-52dcf83faa06) over this historic mine site. +# +# In various forms of operation since the 1920s, extensive drilling has been done over the deposit, as shown in [Figure 2](global_map). # # ```{figure} ./images/map_flinflon.png # --- @@ -26,7 +28,8 @@ # Geological map and drillholes of the Flin Flon deposit. Outline of the main ore body (red) is shown for reference. # ``` # -# The synthetic block model was generated from open-source data made available by [Natural Resources Canada (NRCan)](https://ostrnrcan-dostrncan.canada.ca/entities/publication/73d767d8-ee1c-4bab-a2da-52dcf83faa06). The VMS deposit is hosted in rhyolite unit as indicated by yellow voxels [Figure 3](ore_body). +# The local geology consists mainly of basalt and mafic volcanic flow formations, with discrete occurrences of rhyolite units (yellow) that host the mineralization (red) [Figure 3](ore_body). The entire region was later deformed by large tectonic events that folded and faulted the deposit in its current form. The main mineralization occurs along thin lences dipping steeply towards the South-East. +# # # ```{figure} ./images/ore_body.png # --- diff --git a/docs/case_study/introduction.py b/docs/case_study/introduction.py index 840b79e9..cdff9639 100644 --- a/docs/case_study/introduction.py +++ b/docs/case_study/introduction.py @@ -5,7 +5,7 @@ # extension: .py # format_name: light # format_version: '1.5' -# jupytext_version: 1.16.1 +# jupytext_version: 1.16.2 # kernelspec: # display_name: Python 3 (ipykernel) # language: python @@ -29,9 +29,10 @@ # This chapter demonstrates how to run standalone and joint inversions of geophysical data using SimPEG and the user-interface created for Geoscience ANALYST. We generated several synthetic surveys over the Flin Flon model to simulate an exploration program over a VMS deposit. # The goal is to use ground and airborne geophysics to characterize the physical property and shape of the ore body and host rocks. This case study focuses on the following three datasets and respective physical properties: # -# - [Direct-current resistivity (DCR)](dc-data) -> resistivity # - [Magnetic Total Field (TMI)](magnetic-data) -> magnetization # - [Full-tensor gravity gradiometry (FTG)](ftg-data) -> density +# - [Direct-current resistivity (DCR)](dc-data) -> resistivity (shallow) +# - [Airborne Tipper (NSEM)](tipper-data) -> resistivity (deep) # # The datasets are first inverted independently ([Figure 1](standalone)), then jointly with a cross-gradient coupling constraint ([Figure 2](joint)). # From 4e6a21a7ec19648120ca26f418dc1dddf9ad0c43 Mon Sep 17 00:00:00 2001 From: dominiquef Date: Wed, 17 Jul 2024 11:38:44 -0700 Subject: [PATCH 066/350] Add content for tipper data --- docs/case_study/background.ipynb | 47 +++++++---- docs/case_study/background.py | 43 ++++++---- docs/case_study/data.ipynb | 89 ++++++++++++++------- docs/case_study/data.py | 65 ++++++++++----- docs/case_study/images/setup_flinflon.png | Bin 0 -> 1161835 bytes docs/case_study/images/tipper_uncerts.png | Bin 0 -> 14780 bytes docs/case_study/introduction.ipynb | 5 +- docs/case_study/joint_inversion.ipynb | 2 +- simpeg_drivers-assets/inversion_demo.geoh5 | 4 +- 9 files changed, 170 insertions(+), 85 deletions(-) create mode 100644 docs/case_study/images/setup_flinflon.png create mode 100644 docs/case_study/images/tipper_uncerts.png diff --git a/docs/case_study/background.ipynb b/docs/case_study/background.ipynb index 886e2590..92356d9b 100644 --- a/docs/case_study/background.ipynb +++ b/docs/case_study/background.ipynb @@ -2,36 +2,40 @@ "cells": [ { "cell_type": "markdown", - "id": "ed54d1db", + "id": "cde90f40", "metadata": {}, "source": [ "

\n", "\n", - "# Background\n", + "# The Set Up\n", "\n", - "The processing and inversion work focuses on ground and airborne datasets simulated over the Flin Flon model. Extensive drilling has been done over the deposit, as shown in [Figure 2](global_map).\n", + "This tutorial on geophysical inversion is framed around the well-known VMS deposit - the copper-zinc-gold Flin Flon mine in northern Manitoba, Canada. Our goal is to provided a step-by-step process to invert data from various geophysical methods and to test their resolving capabilities within a semi-realistic exploration context.\n", "\n", - "```{figure} ./images/map_flinflon.png\n", + "The local geology of Flin Flon consists mainly of basalt and mafic volcanic formations (green and blue), with discrete occurrences of rhyolite units (yellow) that host the mineralization as shown in [Figure 2](setup_flinflon). \n", + "\n", + "\n", + "```{figure} ./images/setup_flinflon.png\n", "---\n", "height: 400px\n", - "name: global_map\n", + "name: setup_flinflon\n", "---\n", - "Geological map and drillholes of the Flin Flon deposit. Outline of the main ore body (red) is shown for reference.\n", + "Discrete geological and physical properties for the simplified Flin Flon model.\n", "```\n", "\n", - "The synthetic block model was generated from open-source data made available by [Natural Resources Canada (NRCan)](https://ostrnrcan-dostrncan.canada.ca/entities/publication/73d767d8-ee1c-4bab-a2da-52dcf83faa06). The VMS deposit is hosted in rhyolite unit as indicated by yellow voxels [Figure 3](ore_body).\n", + "The entire region was later deformed by large tectonic events that folded and faulted the stratigraphy in its current form. The mineralization occurs along thin lences dipping steeply towards the South-East. \n", "\n", - "```{figure} ./images/ore_body.png\n", + "The area has been studied extensively over the years, yielding large amount of petrophysical data made available by [Natural Resources Canada (NRCan)](https://ostrnrcan-dostrncan.canada.ca/entities/publication/73d767d8-ee1c-4bab-a2da-52dcf83faa06), as shown in [Figure 3](global_map). \n", + "\n", + "```{figure} ./images/map_flinflon.png\n", "---\n", "height: 400px\n", - "name: ore_body\n", + "name: global_map\n", "---\n", - "Discrete geological model of the ore deposit and host units.\n", + "Geological map and drillholes of the Flin Flon deposit. Outline of the main ore body (red) is shown for reference.\n", "```\n", "\n", - " [Table 1](phys_prop) summarizes the relative physical properties of the main rock units in the area.\n", - "The VMS ore is expected to be more conductive, dense and magnetic than host rhyolite unit. The background mafic rocks are generally non-magnetic and have moderate densities and resistivities. A thick (40 m) overburden layer of relatively low density and low resistivity covers the survey area.\n", - "\n", + "[Table 1](phys_prop) summarizes the physical property contrasts of the main rock units in the area.\n", + "The mineralization is expected to be much more conductive, dense and magnetic than the host rhyolite unit. The background mafic rocks are generally non-magnetic and moderately dense and resistive. We omitted all late-stage intrusives from the modeling for simplicity.\n", "\n", "```{table} Summary of expected physical properties\n", ":name: phys_prop\n", @@ -43,10 +47,23 @@ "| Mafic Dykes | moderate | low | moderate |\n", "| Host Mafic | moderate | low | moderate |\n", "| Basalt | moderate | moderate | low |\n", - "| Ore | high | high | low |\n", + "| Ore | high | high | very low |\n", "| Overburden | low | low | moderate |\n", "| Tailings | low | low | low |\n", - "```" + "\n", + "```\n", + "\n", + "From this simplified (conceptual) model of Flin Flon, we created a 3D petrophysical model around the mineralization [Figure 4](ore_body). We added a thick (40 m) overburden layer (tailings) of relatively low density and low resistivity to test the depth of penetration of the various survey types. This model was used to generate all the synthetic data used in this tutorial.\n", + "\n", + "```{figure} ./images/ore_body.png\n", + "---\n", + "height: 400px\n", + "name: ore_body\n", + "---\n", + "Discrete geological and physical properties for the simplified Flin Flon model.\n", + "```\n", + "\n", + "[Download here](https://github.com/MiraGeoscience/simpeg-drivers/blob/develop/simpeg_drivers-assets/inversion_demo.geoh5).\n" ] } ], diff --git a/docs/case_study/background.py b/docs/case_study/background.py index 117f0679..051c0c74 100644 --- a/docs/case_study/background.py +++ b/docs/case_study/background.py @@ -14,34 +14,35 @@ #

# -# # Background +# # The Set Up # -# This tutorial on inversion uses a mix of ground and airborne geophysical datasets simulated over the Flin Flon model. The model is a simplification of a VMS copper-zinc-gold Flin Flon deposit in northern Manitoba, Canada. A synthetic block model was generated from open-source data made available by [Natural Resources Canada (NRCan)](https://ostrnrcan-dostrncan.canada.ca/entities/publication/73d767d8-ee1c-4bab-a2da-52dcf83faa06) over this historic mine site. +# This tutorial on geophysical inversion is framed around the well-known VMS deposit - the copper-zinc-gold Flin Flon mine in northern Manitoba, Canada. Our goal is to provided a step-by-step process to invert data from various geophysical methods and to test their resolving capabilities within a semi-realistic exploration context. # -# In various forms of operation since the 1920s, extensive drilling has been done over the deposit, as shown in [Figure 2](global_map). +# The local geology of Flin Flon consists mainly of basalt and mafic volcanic formations (green and blue), with discrete occurrences of rhyolite units (yellow) that host the mineralization as shown in [Figure 2](setup_flinflon). # -# ```{figure} ./images/map_flinflon.png +# +# ```{figure} ./images/setup_flinflon.png # --- # height: 400px -# name: global_map +# name: setup_flinflon # --- -# Geological map and drillholes of the Flin Flon deposit. Outline of the main ore body (red) is shown for reference. +# Discrete geological and physical properties for the simplified Flin Flon model. # ``` # -# The local geology consists mainly of basalt and mafic volcanic flow formations, with discrete occurrences of rhyolite units (yellow) that host the mineralization (red) [Figure 3](ore_body). The entire region was later deformed by large tectonic events that folded and faulted the deposit in its current form. The main mineralization occurs along thin lences dipping steeply towards the South-East. +# The entire region was later deformed by large tectonic events that folded and faulted the stratigraphy in its current form. The mineralization occurs along thin lences dipping steeply towards the South-East. # +# The area has been studied extensively over the years, yielding large amount of petrophysical data made available by [Natural Resources Canada (NRCan)](https://ostrnrcan-dostrncan.canada.ca/entities/publication/73d767d8-ee1c-4bab-a2da-52dcf83faa06), as shown in [Figure 3](global_map). # -# ```{figure} ./images/ore_body.png +# ```{figure} ./images/map_flinflon.png # --- # height: 400px -# name: ore_body +# name: global_map # --- -# Discrete geological model of the ore deposit and host units. +# Geological map and drillholes of the Flin Flon deposit. Outline of the main ore body (red) is shown for reference. # ``` # -# [Table 1](phys_prop) summarizes the relative physical properties of the main rock units in the area. -# The VMS ore is expected to be more conductive, dense and magnetic than host rhyolite unit. The background mafic rocks are generally non-magnetic and have moderate densities and resistivities. A thick (40 m) overburden layer of relatively low density and low resistivity covers the survey area. -# +# [Table 1](phys_prop) summarizes the physical property contrasts of the main rock units in the area. +# The mineralization is expected to be much more conductive, dense and magnetic than the host rhyolite unit. The background mafic rocks are generally non-magnetic and moderately dense and resistive. We omitted all late-stage intrusives from the modeling for simplicity. # # ```{table} Summary of expected physical properties # :name: phys_prop @@ -53,7 +54,21 @@ # | Mafic Dykes | moderate | low | moderate | # | Host Mafic | moderate | low | moderate | # | Basalt | moderate | moderate | low | -# | Ore | high | high | low | +# | Ore | high | high | very low | # | Overburden | low | low | moderate | # | Tailings | low | low | low | +# # ``` +# +# From this simplified (conceptual) model of Flin Flon, we created a 3D petrophysical model around the mineralization [Figure 4](ore_body). We added a thick (40 m) overburden layer (tailings) of relatively low density and low resistivity to test the depth of penetration of the various survey types. This model was used to generate all the synthetic data used in this tutorial. +# +# ```{figure} ./images/ore_body.png +# --- +# height: 400px +# name: ore_body +# --- +# Discrete geological and physical properties for the simplified Flin Flon model. +# ``` +# +# [Download here](https://github.com/MiraGeoscience/simpeg-drivers/blob/develop/simpeg_drivers-assets/inversion_demo.geoh5). +# diff --git a/docs/case_study/data.ipynb b/docs/case_study/data.ipynb index f61b9da2..e5033de4 100644 --- a/docs/case_study/data.ipynb +++ b/docs/case_study/data.ipynb @@ -2,18 +2,19 @@ "cells": [ { "cell_type": "markdown", - "id": "39c48a45", + "id": "332ab4a6", "metadata": {}, "source": [ "

\n", "\n", "# Data\n", "\n", - "This section provides details about the three datasets simulated for this tutorial:\n", + "This section provides details about the various datasets simulated for this tutorial:\n", "\n", - "- [Direct-current resistivity (DCR)](dc-data)\n", "- [Magnetic total field (HeliTEM)](magnetic-data)\n", "- [Airborne full-tensor gravity gradiometry (FTG)](ftg-data)\n", + "- [Direct-current resistivity (DCR)](dc-data)\n", + "- [Airborne Tipper (NSEM)](tipper-data)\n", "\n", "\n", "```{figure} ./images/project_area.png\n", @@ -29,31 +30,7 @@ }, { "cell_type": "markdown", - "id": "0e28c183", - "metadata": {}, - "source": [ - "(dc-data)=\n", - "\n", - "## Direct-current resistivity (DCR)\n", - "\n", - "A ground dipole-dipole survey was simulated over the main ore body. The survey was acquired with 40 m dipole length, data measured on seven receivers per transmitter dipole. Line separation was set to 100 m ([Figure 5](dc_topo)).\n", - "\n", - "```{figure} ./images/DCR_data.png\n", - "---\n", - "scale: 50%\n", - "name: dc_topo\n", - "---\n", - "Pseudo-sections of apparent resisitvity and topography from the SRTM elevation model.\n", - "```\n", - "\n", - "Note the large contrast in apparent resistivity between the western and eastern regions of the survey. This can be explained by a conductive tailing layer West of the deposit.\n", - "\n", - "

" - ] - }, - { - "cell_type": "markdown", - "id": "38397ecb", + "id": "d9b82fe3", "metadata": {}, "source": [ "(magnetic-data)=\n", @@ -84,7 +61,7 @@ }, { "cell_type": "markdown", - "id": "38687f97", + "id": "0bba7287", "metadata": {}, "source": [ "(ftg-data)=\n", @@ -107,7 +84,7 @@ }, { "cell_type": "markdown", - "id": "68137185", + "id": "974b28c1", "metadata": {}, "source": [ "## Ground gravity survey\n", @@ -123,6 +100,58 @@ "Vertical component of the gravity field (gz) measured over the zone of interest.\n", "```\n" ] + }, + { + "cell_type": "markdown", + "id": "ef90b307", + "metadata": {}, + "source": [ + "(dc-data)=\n", + "\n", + "## Direct-current resistivity (DCR)\n", + "\n", + "A ground dipole-dipole survey was simulated over the main ore body. The survey was acquired with 40 m dipole length, data measured on seven receivers per transmitter dipole. Line separation was set to 100 m ([Figure 5](dc_topo)).\n", + "\n", + "```{figure} ./images/DCR_data.png\n", + "---\n", + "scale: 50%\n", + "name: dc_topo\n", + "---\n", + "Pseudo-sections of apparent resisitvity and topography from the SRTM elevation model.\n", + "```\n", + "\n", + "Note the large contrast in apparent resistivity between the western and eastern regions of the survey. This can be explained by a conductive tailing layer West of the deposit.\n", + "\n", + "

" + ] + }, + { + "cell_type": "markdown", + "id": "d4de1190", + "metadata": {}, + "source": [ + "(tipper-data)=\n", + "\n", + "## Airborne tipper (Natural Source EM)\n", + "\n", + "An airborne tipper survey was simulated over the main ore body. The survey was acquired along East-West lines, 400 m spacing, at a drape height of 60 m ([Figure 5](dc_topo)). \n", + "Tipper systems collect three orthogonal components of the ambiant magnetic field ($H_x,\\;H_y,\\;H_z$) in time. Similar to magnetotelluric surveys, the ratios of the components are used to circumvent the unknown source of the EM signal. The transfer functions, or tipper, are calculated by taking the ratio of the fields for two polarizations of the magnetic fields (EW and NS). The measurements are generally provided in the frequency-domain with both a real and an imaginary component. \n", + "For more background information about natural source methods, see [em.geosci](https://em.geosci.xyz/content/geophysical_surveys/ztem/index.html)\n", + "\n", + "The survey used in this tutorial mimics the commercial [ZTEM](https://geotech.ca/services/electromagnetic/ztem-z-axis-tipper-electromagnetic-system/) system that measures the magnetic field at 6 frequencies (30, 45, 90, 180, 360 and 720 Hz). The base station is located at the center of the survey area.\n", + "\n", + "```{figure} ./images/tipper_data.png\n", + "---\n", + "scale: 50%\n", + "name: tipper_topo\n", + "---\n", + "Tipper data displayed by the 2D Profiler at all 6 frequencies for the 4 components ($T_{zx}$, $T_{zy}$, real and imaginary).\n", + "```\n", + "\n", + "Note that the position of the known conductor correlate with large variations in the tipper data.\n", + "\n", + "

" + ] } ], "metadata": { diff --git a/docs/case_study/data.py b/docs/case_study/data.py index f38d3b50..92f24c94 100644 --- a/docs/case_study/data.py +++ b/docs/case_study/data.py @@ -5,7 +5,7 @@ # extension: .py # format_name: light # format_version: '1.5' -# jupytext_version: 1.16.1 +# jupytext_version: 1.16.2 # kernelspec: # display_name: Python 3 (ipykernel) # language: python @@ -16,11 +16,12 @@ # # # Data # -# This section provides details about the three datasets simulated for this tutorial: +# This section provides details about the various datasets simulated for this tutorial: # -# - [Direct-current resistivity (DCR)](dc-data) # - [Magnetic total field (HeliTEM)](magnetic-data) # - [Airborne full-tensor gravity gradiometry (FTG)](ftg-data) +# - [Direct-current resistivity (DCR)](dc-data) +# - [Airborne Tipper (NSEM)](tipper-data) # # # ```{figure} ./images/project_area.png @@ -33,24 +34,6 @@ # #

-# (dc-data)= -# -# ## Direct-current resistivity (DCR) -# -# A ground dipole-dipole survey was simulated over the main ore body. The survey was acquired with 40 m dipole length, data measured on seven receivers per transmitter dipole. Line separation was set to 100 m ([Figure 5](dc_topo)). -# -# ```{figure} ./images/DCR_data.png -# --- -# scale: 50% -# name: dc_topo -# --- -# Pseudo-sections of apparent resisitvity and topography from the SRTM elevation model. -# ``` -# -# Note the large contrast in apparent resistivity between the western and eastern regions of the survey. This can be explained by a conductive tailing layer West of the deposit. -# -#

- # (magnetic-data)= # # ## Airborne magnetic survey (TMI) @@ -107,3 +90,43 @@ # Vertical component of the gravity field (gz) measured over the zone of interest. # ``` # + +# (dc-data)= +# +# ## Direct-current resistivity (DCR) +# +# A ground dipole-dipole survey was simulated over the main ore body. The survey was acquired with 40 m dipole length, data measured on seven receivers per transmitter dipole. Line separation was set to 100 m ([Figure 5](dc_topo)). +# +# ```{figure} ./images/DCR_data.png +# --- +# scale: 50% +# name: dc_topo +# --- +# Pseudo-sections of apparent resisitvity and topography from the SRTM elevation model. +# ``` +# +# Note the large contrast in apparent resistivity between the western and eastern regions of the survey. This can be explained by a conductive tailing layer West of the deposit. +# +#

+ +# (tipper-data)= +# +# ## Airborne tipper (Natural Source EM) +# +# An airborne tipper survey was simulated over the main ore body. The survey was acquired along East-West lines, 400 m spacing, at a drape height of 60 m ([Figure 5](dc_topo)). +# Tipper systems collect three orthogonal components of the ambiant magnetic field ($H_x,\;H_y,\;H_z$) in time. Similar to magnetotelluric surveys, the ratios of the components are used to circumvent the unknown source of the EM signal. The transfer functions, or tipper, are calculated by taking the ratio of the fields for two polarizations of the magnetic fields (EW and NS). The measurements are generally provided in the frequency-domain with both a real and an imaginary component. +# For more background information about natural source methods, see [em.geosci](https://em.geosci.xyz/content/geophysical_surveys/ztem/index.html) +# +# The survey used in this tutorial mimics the commercial [ZTEM](https://geotech.ca/services/electromagnetic/ztem-z-axis-tipper-electromagnetic-system/) system that measures the magnetic field at 6 frequencies (30, 45, 90, 180, 360 and 720 Hz). The base station is located at the center of the survey area. +# +# ```{figure} ./images/tipper_data.png +# --- +# scale: 50% +# name: tipper_topo +# --- +# Tipper data displayed by the 2D Profiler at all 6 frequencies for the 4 components ($T_{zx}$, $T_{zy}$, real and imaginary). +# ``` +# +# Note that the position of the known conductor correlate with large variations in the tipper data. +# +#

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"

\n", @@ -22,9 +22,10 @@ "This chapter demonstrates how to run standalone and joint inversions of geophysical data using SimPEG and the user-interface created for Geoscience ANALYST. We generated several synthetic surveys over the Flin Flon model to simulate an exploration program over a VMS deposit.\n", "The goal is to use ground and airborne geophysics to characterize the physical property and shape of the ore body and host rocks. This case study focuses on the following three datasets and respective physical properties:\n", "\n", - "- [Direct-current resistivity (DCR)](dc-data) -> resistivity\n", "- [Magnetic Total Field (TMI)](magnetic-data) -> magnetization\n", "- [Full-tensor gravity gradiometry (FTG)](ftg-data) -> density\n", + "- [Direct-current resistivity (DCR)](dc-data) -> resistivity (shallow)\n", + "- [Airborne Tipper (NSEM)](tipper-data) -> resistivity (deep)\n", "\n", "The datasets are first inverted independently ([Figure 1](standalone)), then jointly with a cross-gradient coupling constraint ([Figure 2](joint)).\n", "\n", diff --git a/docs/case_study/joint_inversion.ipynb b/docs/case_study/joint_inversion.ipynb index e058e9b3..4a9011f4 100644 --- a/docs/case_study/joint_inversion.ipynb +++ b/docs/case_study/joint_inversion.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "57159c74", + "id": "151a6cd9", "metadata": {}, "source": [ "# Joint Inversion\n", diff --git a/simpeg_drivers-assets/inversion_demo.geoh5 b/simpeg_drivers-assets/inversion_demo.geoh5 index 54686266..ba1b1a0d 100644 --- a/simpeg_drivers-assets/inversion_demo.geoh5 +++ b/simpeg_drivers-assets/inversion_demo.geoh5 @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:7f4756d8ff81eda0ce4992fea63d03cef087cd9340358ab019fec5cd87ca8e83 -size 3108380 +oid sha256:8a896feb547c81dd48526467c17a8b05b95076a0d8b89874d8297e08a966ebd7 +size 3991632 From 45d80f071176f895b5d818b4f8120298509249d7 Mon Sep 17 00:00:00 2001 From: dominiquef Date: Wed, 17 Jul 2024 11:45:09 -0700 Subject: [PATCH 067/350] Update text in background --- docs/case_study/background.ipynb | 16 +++++++--------- docs/case_study/background.py | 7 ++----- docs/case_study/images/ore_body.png | Bin 340576 -> 884748 bytes 3 files changed, 9 insertions(+), 14 deletions(-) diff --git a/docs/case_study/background.ipynb b/docs/case_study/background.ipynb index 92356d9b..0ac044b0 100644 --- a/docs/case_study/background.ipynb +++ b/docs/case_study/background.ipynb @@ -2,16 +2,16 @@ "cells": [ { "cell_type": "markdown", - "id": "cde90f40", + "id": "a002597a", "metadata": {}, "source": [ "

\n", "\n", "# The Set Up\n", "\n", - "This tutorial on geophysical inversion is framed around the well-known VMS deposit - the copper-zinc-gold Flin Flon mine in northern Manitoba, Canada. Our goal is to provided a step-by-step process to invert data from various geophysical methods and to test their resolving capabilities within a semi-realistic exploration context.\n", + "This tutorial on geophysical inversion is framed around a well-known copper-zinc VMS deposit - the Flin Flon mine in northern Manitoba, Canada. Our goal is to provided a step-by-step process to invert data from various geophysical methods and to test their resolving capabilities within a semi-realistic exploration context.\n", "\n", - "The local geology of Flin Flon consists mainly of basalt and mafic volcanic formations (green and blue), with discrete occurrences of rhyolite units (yellow) that host the mineralization as shown in [Figure 2](setup_flinflon). \n", + "The local geology of Flin Flon consists mainly of basalt and mafic volcanic formations (green and blue), with discrete occurrences of rhyolite units (yellow) that host the mineralization as shown in [Figure 2](setup_flinflon).\n", "\n", "\n", "```{figure} ./images/setup_flinflon.png\n", @@ -22,9 +22,9 @@ "Discrete geological and physical properties for the simplified Flin Flon model.\n", "```\n", "\n", - "The entire region was later deformed by large tectonic events that folded and faulted the stratigraphy in its current form. The mineralization occurs along thin lences dipping steeply towards the South-East. \n", + "The entire region was later deformed by large tectonic events that folded and faulted the stratigraphy in its current form. The mineralization occurs along thin lences dipping steeply towards the South-East.\n", "\n", - "The area has been studied extensively over the years, yielding large amount of petrophysical data made available by [Natural Resources Canada (NRCan)](https://ostrnrcan-dostrncan.canada.ca/entities/publication/73d767d8-ee1c-4bab-a2da-52dcf83faa06), as shown in [Figure 3](global_map). \n", + "The area has been studied extensively over the years, yielding large amount of petrophysical data made available by [Natural Resources Canada (NRCan)](https://ostrnrcan-dostrncan.canada.ca/entities/publication/73d767d8-ee1c-4bab-a2da-52dcf83faa06), as shown in [Figure 3](global_map).\n", "\n", "```{figure} ./images/map_flinflon.png\n", "---\n", @@ -60,10 +60,8 @@ "height: 400px\n", "name: ore_body\n", "---\n", - "Discrete geological and physical properties for the simplified Flin Flon model.\n", - "```\n", - "\n", - "[Download here](https://github.com/MiraGeoscience/simpeg-drivers/blob/develop/simpeg_drivers-assets/inversion_demo.geoh5).\n" + "Discrete geological and physical properties for the simplified Flin Flon model [Download here](https://github.com/MiraGeoscience/simpeg-drivers/blob/develop/simpeg_drivers-assets/inversion_demo.geoh5).\n", + "```" ] } ], diff --git a/docs/case_study/background.py b/docs/case_study/background.py index 051c0c74..d1f733cc 100644 --- a/docs/case_study/background.py +++ b/docs/case_study/background.py @@ -16,7 +16,7 @@ # # # The Set Up # -# This tutorial on geophysical inversion is framed around the well-known VMS deposit - the copper-zinc-gold Flin Flon mine in northern Manitoba, Canada. Our goal is to provided a step-by-step process to invert data from various geophysical methods and to test their resolving capabilities within a semi-realistic exploration context. +# This tutorial on geophysical inversion is framed around a well-known copper-zinc VMS deposit - the Flin Flon mine in northern Manitoba, Canada. Our goal is to provided a step-by-step process to invert data from various geophysical methods and to test their resolving capabilities within a semi-realistic exploration context. # # The local geology of Flin Flon consists mainly of basalt and mafic volcanic formations (green and blue), with discrete occurrences of rhyolite units (yellow) that host the mineralization as shown in [Figure 2](setup_flinflon). # @@ -67,8 +67,5 @@ # height: 400px # name: ore_body # --- -# Discrete geological and physical properties for the simplified Flin Flon model. +# Discrete geological and physical properties for the simplified Flin Flon model [Download here](https://github.com/MiraGeoscience/simpeg-drivers/blob/develop/simpeg_drivers-assets/inversion_demo.geoh5). # ``` -# -# [Download here](https://github.com/MiraGeoscience/simpeg-drivers/blob/develop/simpeg_drivers-assets/inversion_demo.geoh5). -# diff --git a/docs/case_study/images/ore_body.png b/docs/case_study/images/ore_body.png index 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z|L^;d|E~!*=ac7a&6F5h$NuvSUTJfDii-J$WjW@@L;t7K^8b~Q`~UYM%fW6VpDiTG Ru|Jq+W}s(6EYPvJ{@;bke7*nx From d3f827e9abe030f6cbd7c64ea17e18043a142f71 Mon Sep 17 00:00:00 2001 From: SophieCurinier Date: Thu, 18 Jul 2024 16:38:51 -0400 Subject: [PATCH 068/350] [GEOPY-1233] Use mirageoscience.pre-commit-hooks + Update codespell and rstcheck versions --- .pre-commit-config.yaml | 29 ++++++++++------------------- 1 file changed, 10 insertions(+), 19 deletions(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index c732eb4d..bf55c31f 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -50,6 +50,14 @@ repos: hooks: - id: relint args: [-W] # to fail on warnings +- repo: http://github.com/MiraGeoscience/pre-commit-hooks + rev: v1.0.0 + hooks: + - id: check-copyright + files: (^LICENSE|^README(|-dev).rst|\.py|\.pyi)$ + exclude: (^\.|^docs/) + - id: prepare-commit-msg + - id: check-commit-msg - repo: local hooks: - id: pylint @@ -59,25 +67,8 @@ repos: require_serial: true # pylint does its own parallelism types: [python] exclude: ^(devtools|docs)/ - - id: check-copyright - name: Check copyright - entry: python devtools/check-copyright.py - language: python - types: [text] - files: (^LICENSE|^README(|-dev).rst|\.py|\.pyi)$ - exclude: (^\.|^docs/) - - id: prepare-commit-msg - stages: [prepare-commit-msg] - name: Prepare commit message - entry: python devtools/git_message_hook.py --prepare - language: python - - id: check-commit-msg - stages: [commit-msg] - name: Check commit message - entry: python devtools/git_message_hook.py --check - language: python - repo: https://github.com/codespell-project/codespell - rev: v2.2.6 + rev: v2.3.0 hooks: - id: codespell exclude: (-lock\.ya?ml|\benvironments/.*\.ya?ml|\.ipynb|^THIRD_PARTY_SOFTWARE\.rst)$ @@ -111,7 +102,7 @@ repos: exclude_types: [jupyter] exclude: ^docs/(.*/)?images/ - repo: https://github.com/rstcheck/rstcheck - rev: v6.2.0 + rev: v6.2.4 hooks: - id: rstcheck exclude: ^THIRD_PARTY_SOFTWARE.rst$ From 13b17b89758fe02ba00520f2206e27742668bee2 Mon Sep 17 00:00:00 2001 From: SophieCurinier Date: Thu, 18 Jul 2024 16:40:24 -0400 Subject: [PATCH 069/350] [GEOPY-1233] Use reusable github workflows : Jira --- .github/workflows/issue_to_jira.yml | 34 ++----------- .github/workflows/pr_add_jira_summary.yml | 60 ++--------------------- 2 files changed, 8 insertions(+), 86 deletions(-) diff --git a/.github/workflows/issue_to_jira.yml b/.github/workflows/issue_to_jira.yml index 1401104b..2818e29e 100644 --- a/.github/workflows/issue_to_jira.yml +++ b/.github/workflows/issue_to_jira.yml @@ -1,5 +1,3 @@ -# This workflow will create a JIRA issue upon creation of a GitHub issue - name: Create JIRA issue on: @@ -7,30 +5,8 @@ on: types: [opened] jobs: - new_jira_issue: - runs-on: ubuntu-latest - - steps: - - name: JIRA Login - uses: atlassian/gajira-login@v3.0.1 - env: - JIRA_BASE_URL: ${{ secrets.JIRA_BASE_URL }} - JIRA_USER_EMAIL: ${{ secrets.JIRA_USER_EMAIL }} - JIRA_API_TOKEN: ${{ secrets.JIRA_API_TOKEN }} - - name: Jira Create issue - id: create_jira_issue - uses: atlassian/gajira-create@v3.0.1 - with: - project: GEOPY - issuetype: Story - summary: ${{ github.event.issue.title }} - description: "_from [GitHub issue #${{ github.event.issue.number }}|${{ github.event.issue.html_url }}]_" - # Additional fields in JSON format - #fields: '{"components": [{"name": "my-app"}]}' - - name: Post JIRA link - uses: peter-evans/create-or-update-comment@v3 - with: - # The number of the issue or pull request in which to create a comment. - issue-number: ${{ github.event.issue.number }} - # The comment body. - body: "JIRA issue [${{ steps.create_jira_issue.outputs.issue }}] was created." + call-workflow-create-jira-issue: + uses: MiraGeoscience/CI-tools/.github/workflows/reusable-jira-issue_to_jira.yml@main + secrets: inherit + with: + project_key: 'GEOPY' diff --git a/.github/workflows/pr_add_jira_summary.yml b/.github/workflows/pr_add_jira_summary.yml index f0c8a8dd..794bf3f0 100644 --- a/.github/workflows/pr_add_jira_summary.yml +++ b/.github/workflows/pr_add_jira_summary.yml @@ -1,6 +1,3 @@ -# This workflow will comment the PR with the JIRA issue summary -# if a JIRA issue number is detected in the branch name or title - name: Add JIRA issue summary on: @@ -8,57 +5,6 @@ on: types: [opened] jobs: - add_jira_summary: - runs-on: ubuntu-latest - - steps: - - name: Find JIRA issue key - id: find_jira_key - env: - HEAD_REF: ${{ github.head_ref}} - PR_TITLE: ${{ github.event.pull_request.title }} - run: > - echo $HEAD_REF $PR_TITLE - | echo "issue_key=$( - grep -osi "\b\(GA\|GEOPY\|DEVOPS\)[ #-]*[0-9]\+" - | head -n1 - | sed -E "s/([A-Z]+)[-# ]*([0-9]+)/\1-\2/i" - | tr [:lower:] [:upper:] - )" - >> $GITHUB_OUTPUT - - name: Get JIRA summary - id: get_jira_summary - if: ${{ steps.find_jira_key.outputs.issue_key }} - env: - JIRA_BASE_URL: ${{ secrets.JIRA_BASE_URL }} - JIRA_BASIC_AUTH: ${{ secrets.JIRA_BASIC_AUTH }} - run: > - curl -sS -X GET - -H "Authorization: Basic $JIRA_BASIC_AUTH" - -H "Content-Type: application/json" - "$JIRA_BASE_URL/rest/api/2/issue/${{ steps.find_jira_key.outputs.issue_key }}" - | echo "summary=$(jq -r '.fields.summary // empty')" >> $GITHUB_OUTPUT - - name: Extract PR title - id: get_pr_title - env: - PR_TITLE: ${{ github.event.pull_request.title }} - run: | - echo "text=$(echo $PR_TITLE | sed -E "s/^\s*[?[A-Z]+[-# ]*[0-9]+]?[-: ]*(.*)/\1/i")" >> $GITHUB_OUTPUT - - name: Add comment - if: ${{ steps.find_jira_key.outputs.issue_key }} - env: - ISSUE_SUMMARY: ${{ steps.get_jira_summary.outputs.summary }} - TITLE_TEXT: ${{ steps.get_pr_title.outputs.text }} - PR_BODY: ${{ github.event.pull_request.body }} - run: > - jq - --arg ISSUE_ID "${{ steps.find_jira_key.outputs.issue_key }}" - --arg ISSUE_SUMMARY "$(cat <<< $ISSUE_SUMMARY)" - --arg TITLE_TEXT "$(cat <<< ${TITLE_TEXT:-$ISSUE_SUMMARY})" - --arg PR_BODY "$(cat <<< $PR_BODY)" - -c '{"title": ($ISSUE_ID + ": " + $TITLE_TEXT), "body": ("**" + $ISSUE_ID + " - " + $ISSUE_SUMMARY + "**\n" + $PR_BODY)}' <<< {} - | curl -sS -X POST -d @- - -H "Authorization: token ${{ secrets.GITHUB_TOKEN }}" - -H "Content-Type: application/json" - "$GITHUB_API_URL/repos/$GITHUB_REPOSITORY/pulls/${{ github.event.pull_request.number }}" - > /dev/null + call-workflow-add-jira-issue-summary: + uses: MiraGeoscience/CI-tools/.github/workflows/reusable-jira-pr_add_jira_summary.yml@main + secrets: inherit From a0999344d56fc4fa05c4411e4cd20278a1d99613 Mon Sep 17 00:00:00 2001 From: dominiquef Date: Tue, 23 Jul 2024 13:50:05 -0700 Subject: [PATCH 070/350] Re-haul of chapters --- docs/_toc.yml | 8 +- docs/case_study/background.ipynb | 23 ++- docs/case_study/background.py | 21 ++- docs/case_study/data.ipynb | 166 ------------------ docs/case_study/data.py | 132 -------------- docs/case_study/dc_resistivity.ipynb | 81 +++++++++ docs/case_study/dc_resistivity.py | 63 +++++++ ...strained_inversion.ipynb => gravity.ipynb} | 86 ++++----- docs/case_study/gravity.py | 98 +++++++++++ docs/case_study/images/MAG_data.png | Bin 72233 -> 0 bytes docs/case_study/images/magnetics/MAG_data.png | Bin 0 -> 176588 bytes docs/case_study/images/magnetics/base_reg.png | Bin 0 -> 18812 bytes .../images/magnetics/data_input.png | Bin 0 -> 21220 bytes docs/case_study/images/magnetics/forward.png | Bin 0 -> 29770 bytes .../case_study/images/magnetics/mesh_core.png | Bin 0 -> 16462 bytes .../images/magnetics/mesh_refinement.png | Bin 0 -> 20705 bytes .../images/magnetics/susc_ew_section.png | Bin 0 -> 24023 bytes .../magnetics/susc_ew_section_noref.png | Bin 0 -> 24132 bytes docs/case_study/introduction.ipynb | 28 ++- docs/case_study/introduction.py | 26 ++- docs/case_study/joint_inversion.ipynb | 2 +- docs/case_study/magnetic.ipynb | 156 ++++++++++++++++ docs/case_study/magnetic.py | 123 +++++++++++++ docs/case_study/tipper.ipynb | 55 ++++++ docs/case_study/tipper.py | 43 +++++ docs/case_study/unconstrained_inversion.py | 107 ----------- docs/inversion/data_misfit.ipynb | 32 ++-- docs/inversion/data_misfit.py | 8 +- docs/inversion/fundamentals.ipynb | 32 ++-- docs/inversion/fundamentals.py | 4 +- docs/inversion/index.ipynb | 12 +- docs/inversion/index.py | 12 +- docs/inversion/joint_inversion.ipynb | 10 +- .../mesh_design.ipynb | 4 +- docs/{case_study => inversion}/mesh_design.py | 0 docs/inversion/regularization.ipynb | 17 +- docs/inversion/regularization.py | 5 +- 37 files changed, 790 insertions(+), 564 deletions(-) delete mode 100644 docs/case_study/data.ipynb delete mode 100644 docs/case_study/data.py create mode 100644 docs/case_study/dc_resistivity.ipynb create mode 100644 docs/case_study/dc_resistivity.py rename docs/case_study/{unconstrained_inversion.ipynb => gravity.ipynb} (51%) create mode 100644 docs/case_study/gravity.py delete mode 100644 docs/case_study/images/MAG_data.png create mode 100644 docs/case_study/images/magnetics/MAG_data.png create mode 100644 docs/case_study/images/magnetics/base_reg.png create mode 100644 docs/case_study/images/magnetics/data_input.png create mode 100644 docs/case_study/images/magnetics/forward.png create mode 100644 docs/case_study/images/magnetics/mesh_core.png create mode 100644 docs/case_study/images/magnetics/mesh_refinement.png create mode 100644 docs/case_study/images/magnetics/susc_ew_section.png create mode 100644 docs/case_study/images/magnetics/susc_ew_section_noref.png create mode 100644 docs/case_study/magnetic.ipynb create mode 100644 docs/case_study/magnetic.py create mode 100644 docs/case_study/tipper.ipynb create mode 100644 docs/case_study/tipper.py delete mode 100644 docs/case_study/unconstrained_inversion.py rename docs/{case_study => inversion}/mesh_design.ipynb (99%) rename docs/{case_study => inversion}/mesh_design.py (100%) diff --git a/docs/_toc.yml b/docs/_toc.yml index b46fd75b..e3c64c8a 100644 --- a/docs/_toc.yml +++ b/docs/_toc.yml @@ -9,11 +9,13 @@ chapters: - file: inversion/fundamentals - file: inversion/data_misfit - file: inversion/regularization + - file: inversion/mesh_design - file: inversion/joint_inversion - file: case_study/introduction sections: - file: case_study/background - - file: case_study/data - - file: case_study/mesh_design - - file: case_study/unconstrained_inversion + - file: case_study/magnetic + - file: case_study/gravity + - file: case_study/dc_resistivity + - file: case_study/tipper - file: case_study/joint_inversion diff --git a/docs/case_study/background.ipynb b/docs/case_study/background.ipynb index 0ac044b0..0567fd4f 100644 --- a/docs/case_study/background.ipynb +++ b/docs/case_study/background.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "a002597a", + "id": "6a84bad2", "metadata": {}, "source": [ "

\n", @@ -11,9 +11,6 @@ "\n", "This tutorial on geophysical inversion is framed around a well-known copper-zinc VMS deposit - the Flin Flon mine in northern Manitoba, Canada. Our goal is to provided a step-by-step process to invert data from various geophysical methods and to test their resolving capabilities within a semi-realistic exploration context.\n", "\n", - "The local geology of Flin Flon consists mainly of basalt and mafic volcanic formations (green and blue), with discrete occurrences of rhyolite units (yellow) that host the mineralization as shown in [Figure 2](setup_flinflon).\n", - "\n", - "\n", "```{figure} ./images/setup_flinflon.png\n", "---\n", "height: 400px\n", @@ -22,7 +19,8 @@ "Discrete geological and physical properties for the simplified Flin Flon model.\n", "```\n", "\n", - "The entire region was later deformed by large tectonic events that folded and faulted the stratigraphy in its current form. The mineralization occurs along thin lences dipping steeply towards the South-East.\n", + "The local geology of Flin Flon consists mainly of basalt and mafic volcanic formations (green and blue), with discrete occurrences of rhyolite units (yellow) that host the mineralization as shown in [Figure X](setup_flinflon).\n", + "The entire region was later deformed by large tectonic events that over-thursted, folded and faulted the stratigraphy in its current form. The mineralization occurs along thin lences dipping steeply towards the South-East.\n", "\n", "The area has been studied extensively over the years, yielding large amount of petrophysical data made available by [Natural Resources Canada (NRCan)](https://ostrnrcan-dostrncan.canada.ca/entities/publication/73d767d8-ee1c-4bab-a2da-52dcf83faa06), as shown in [Figure 3](global_map).\n", "\n", @@ -53,14 +51,25 @@ "\n", "```\n", "\n", - "From this simplified (conceptual) model of Flin Flon, we created a 3D petrophysical model around the mineralization [Figure 4](ore_body). We added a thick (40 m) overburden layer (tailings) of relatively low density and low resistivity to test the depth of penetration of the various survey types. This model was used to generate all the synthetic data used in this tutorial.\n", - "\n", + "From this simplified (conceptual) model of Flin Flon, we created a 3D petrophysical model around the mineralization [Figure X](ore_body). We added a thick (40 m) overburden layer (tailings) of relatively low density and low resistivity to test the depth of penetration of the various survey types. \n", "```{figure} ./images/ore_body.png\n", "---\n", "height: 400px\n", "name: ore_body\n", "---\n", "Discrete geological and physical properties for the simplified Flin Flon model [Download here](https://github.com/MiraGeoscience/simpeg-drivers/blob/develop/simpeg_drivers-assets/inversion_demo.geoh5).\n", + "```\n", + "\n", + "This model was used to generate all the synthetic data used in this tutorial. [Figure X](project_area) shows the layout of the various ground and airborne surveys used in this tutorial.\n", + "\n", + "\n", + "```{figure} ./images/project_area.png\n", + "\n", + "---\n", + "scale: 50%\n", + "name: project_area\n", + "---\n", + "Data coverage for the ground gravity (black), airborne gravity gradiometry (red), airborne magnetics and tipper (green) and direct-current (blue) surveys. Outline of the ore shell (gray) is shown for reference.\n", "```" ] } diff --git a/docs/case_study/background.py b/docs/case_study/background.py index d1f733cc..29421548 100644 --- a/docs/case_study/background.py +++ b/docs/case_study/background.py @@ -18,9 +18,6 @@ # # This tutorial on geophysical inversion is framed around a well-known copper-zinc VMS deposit - the Flin Flon mine in northern Manitoba, Canada. Our goal is to provided a step-by-step process to invert data from various geophysical methods and to test their resolving capabilities within a semi-realistic exploration context. # -# The local geology of Flin Flon consists mainly of basalt and mafic volcanic formations (green and blue), with discrete occurrences of rhyolite units (yellow) that host the mineralization as shown in [Figure 2](setup_flinflon). -# -# # ```{figure} ./images/setup_flinflon.png # --- # height: 400px @@ -29,7 +26,8 @@ # Discrete geological and physical properties for the simplified Flin Flon model. # ``` # -# The entire region was later deformed by large tectonic events that folded and faulted the stratigraphy in its current form. The mineralization occurs along thin lences dipping steeply towards the South-East. +# The local geology of Flin Flon consists mainly of basalt and mafic volcanic formations (green and blue), with discrete occurrences of rhyolite units (yellow) that host the mineralization as shown in [Figure X](setup_flinflon). +# The entire region was later deformed by large tectonic events that over-thursted, folded and faulted the stratigraphy in its current form. The mineralization occurs along thin lences dipping steeply towards the South-East. # # The area has been studied extensively over the years, yielding large amount of petrophysical data made available by [Natural Resources Canada (NRCan)](https://ostrnrcan-dostrncan.canada.ca/entities/publication/73d767d8-ee1c-4bab-a2da-52dcf83faa06), as shown in [Figure 3](global_map). # @@ -60,8 +58,7 @@ # # ``` # -# From this simplified (conceptual) model of Flin Flon, we created a 3D petrophysical model around the mineralization [Figure 4](ore_body). We added a thick (40 m) overburden layer (tailings) of relatively low density and low resistivity to test the depth of penetration of the various survey types. This model was used to generate all the synthetic data used in this tutorial. -# +# From this simplified (conceptual) model of Flin Flon, we created a 3D petrophysical model around the mineralization [Figure X](ore_body). We added a thick (40 m) overburden layer (tailings) of relatively low density and low resistivity to test the depth of penetration of the various survey types. # ```{figure} ./images/ore_body.png # --- # height: 400px @@ -69,3 +66,15 @@ # --- # Discrete geological and physical properties for the simplified Flin Flon model [Download here](https://github.com/MiraGeoscience/simpeg-drivers/blob/develop/simpeg_drivers-assets/inversion_demo.geoh5). # ``` +# +# This model was used to generate all the synthetic data used in this tutorial. [Figure X](project_area) shows the layout of the various ground and airborne surveys used in this tutorial. +# +# +# ```{figure} ./images/project_area.png +# +# --- +# scale: 50% +# name: project_area +# --- +# Data coverage for the ground gravity (black), airborne gravity gradiometry (red), airborne magnetics and tipper (green) and direct-current (blue) surveys. Outline of the ore shell (gray) is shown for reference. +# ``` diff --git a/docs/case_study/data.ipynb b/docs/case_study/data.ipynb deleted file mode 100644 index e5033de4..00000000 --- a/docs/case_study/data.ipynb +++ /dev/null @@ -1,166 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "332ab4a6", - "metadata": {}, - "source": [ - "

\n", - "\n", - "# Data\n", - "\n", - "This section provides details about the various datasets simulated for this tutorial:\n", - "\n", - "- [Magnetic total field (HeliTEM)](magnetic-data)\n", - "- [Airborne full-tensor gravity gradiometry (FTG)](ftg-data)\n", - "- [Direct-current resistivity (DCR)](dc-data)\n", - "- [Airborne Tipper (NSEM)](tipper-data)\n", - "\n", - "\n", - "```{figure} ./images/project_area.png\n", - "---\n", - "scale: 50%\n", - "name: project_area\n", - "---\n", - "Data coverage for the ground gravity (black), airborne gravity gradiometry (red), airborne magnetics (green) and direct-current (blue) surveys. Outline of the ore shell (gray) is shown for reference.\n", - "```\n", - "\n", - "

" - ] - }, - { - "cell_type": "markdown", - "id": "d9b82fe3", - "metadata": {}, - "source": [ - "(magnetic-data)=\n", - "\n", - "## Airborne magnetic survey (TMI)\n", - "\n", - "We simulated Residual Magnetic Intensity (RMI) data along East-West lines at a 40 m drape height above topography. The line spacing was set to 200 m, with along-line data downsampled to 10 m.\n", - "\n", - "The following inducing field parameters were used for the forward simulation:\n", - "\n", - "| Intensity | Declination | Inclination |\n", - "| :--- | :--- | :---- |\n", - "| $60000$ nT | $11^\\circ$ | $79^\\circ$ |\n", - "\n", - "\n", - "```{figure} ./images/MAG_data.png\n", - "---\n", - "scale: 50%\n", - "name: mag_data\n", - "---\n", - "Residual magnetic intensity (RMI) data measured over the zone of interest.\n", - "```\n", - "\n", - "We can notice a strong correlation between the RMI data and the horizontal position of the ore body.\n", - "\n", - "

" - ] - }, - { - "cell_type": "markdown", - "id": "0bba7287", - "metadata": {}, - "source": [ - "(ftg-data)=\n", - "\n", - "## Airborne tensor gravity gradiometry (FTG)\n", - "\n", - "An airborne fixed-wing full-tensor gravity gradiometry (FTG) survey was simulated at a nominal drape height of 60 m above topography.\n", - "\n", - "The FTG system measures six independent components of the gradient tensor: $g_{xx},\\; g_{xy},\\; g_{xz},\\; g_{yy},\\; g_{yz}$ and $g_{zz}$. Data were leveled, free-air and terrain corrected with 2.67 g/cc reference density.\n", - "\n", - "\n", - "```{figure} ./images/GG_data.png\n", - "---\n", - "scale: 50%\n", - "name: ftg_data\n", - "---\n", - "(Top) Components of the gravity gradiometry data measured over the zone of interest. (Bottom) The green and red marker indicate the flight direction.\n", - "```\n" - ] - }, - { - "cell_type": "markdown", - "id": "974b28c1", - "metadata": {}, - "source": [ - "## Ground gravity survey\n", - "\n", - "A ground gravity survey was simulated on sparsely sampled 200 m grid of stations. The data are provided a terrain corrected with\n", - "reference density of 2.67 g/cc.\n", - "\n", - "```{figure} ./images/GZ_data.png\n", - "---\n", - "scale: 50%\n", - "name: gz_data\n", - "---\n", - "Vertical component of the gravity field (gz) measured over the zone of interest.\n", - "```\n" - ] - }, - { - "cell_type": "markdown", - "id": "ef90b307", - "metadata": {}, - "source": [ - "(dc-data)=\n", - "\n", - "## Direct-current resistivity (DCR)\n", - "\n", - "A ground dipole-dipole survey was simulated over the main ore body. The survey was acquired with 40 m dipole length, data measured on seven receivers per transmitter dipole. Line separation was set to 100 m ([Figure 5](dc_topo)).\n", - "\n", - "```{figure} ./images/DCR_data.png\n", - "---\n", - "scale: 50%\n", - "name: dc_topo\n", - "---\n", - "Pseudo-sections of apparent resisitvity and topography from the SRTM elevation model.\n", - "```\n", - "\n", - "Note the large contrast in apparent resistivity between the western and eastern regions of the survey. This can be explained by a conductive tailing layer West of the deposit.\n", - "\n", - "

" - ] - }, - { - "cell_type": "markdown", - "id": "d4de1190", - "metadata": {}, - "source": [ - "(tipper-data)=\n", - "\n", - "## Airborne tipper (Natural Source EM)\n", - "\n", - "An airborne tipper survey was simulated over the main ore body. The survey was acquired along East-West lines, 400 m spacing, at a drape height of 60 m ([Figure 5](dc_topo)). \n", - "Tipper systems collect three orthogonal components of the ambiant magnetic field ($H_x,\\;H_y,\\;H_z$) in time. Similar to magnetotelluric surveys, the ratios of the components are used to circumvent the unknown source of the EM signal. The transfer functions, or tipper, are calculated by taking the ratio of the fields for two polarizations of the magnetic fields (EW and NS). The measurements are generally provided in the frequency-domain with both a real and an imaginary component. \n", - "For more background information about natural source methods, see [em.geosci](https://em.geosci.xyz/content/geophysical_surveys/ztem/index.html)\n", - "\n", - "The survey used in this tutorial mimics the commercial [ZTEM](https://geotech.ca/services/electromagnetic/ztem-z-axis-tipper-electromagnetic-system/) system that measures the magnetic field at 6 frequencies (30, 45, 90, 180, 360 and 720 Hz). The base station is located at the center of the survey area.\n", - "\n", - "```{figure} ./images/tipper_data.png\n", - "---\n", - "scale: 50%\n", - "name: tipper_topo\n", - "---\n", - "Tipper data displayed by the 2D Profiler at all 6 frequencies for the 4 components ($T_{zx}$, $T_{zy}$, real and imaginary).\n", - "```\n", - "\n", - "Note that the position of the known conductor correlate with large variations in the tipper data.\n", - "\n", - "

" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/docs/case_study/data.py b/docs/case_study/data.py deleted file mode 100644 index 92f24c94..00000000 --- a/docs/case_study/data.py +++ /dev/null @@ -1,132 +0,0 @@ -# --- -# jupyter: -# jupytext: -# text_representation: -# extension: .py -# format_name: light -# format_version: '1.5' -# jupytext_version: 1.16.2 -# kernelspec: -# display_name: Python 3 (ipykernel) -# language: python -# name: python3 -# --- - -#

-# -# # Data -# -# This section provides details about the various datasets simulated for this tutorial: -# -# - [Magnetic total field (HeliTEM)](magnetic-data) -# - [Airborne full-tensor gravity gradiometry (FTG)](ftg-data) -# - [Direct-current resistivity (DCR)](dc-data) -# - [Airborne Tipper (NSEM)](tipper-data) -# -# -# ```{figure} ./images/project_area.png -# --- -# scale: 50% -# name: project_area -# --- -# Data coverage for the ground gravity (black), airborne gravity gradiometry (red), airborne magnetics (green) and direct-current (blue) surveys. Outline of the ore shell (gray) is shown for reference. -# ``` -# -#

- -# (magnetic-data)= -# -# ## Airborne magnetic survey (TMI) -# -# We simulated Residual Magnetic Intensity (RMI) data along East-West lines at a 40 m drape height above topography. The line spacing was set to 200 m, with along-line data downsampled to 10 m. -# -# The following inducing field parameters were used for the forward simulation: -# -# | Intensity | Declination | Inclination | -# | :--- | :--- | :---- | -# | $60000$ nT | $11^\circ$ | $79^\circ$ | -# -# -# ```{figure} ./images/MAG_data.png -# --- -# scale: 50% -# name: mag_data -# --- -# Residual magnetic intensity (RMI) data measured over the zone of interest. -# ``` -# -# We can notice a strong correlation between the RMI data and the horizontal position of the ore body. -# -#

- -# (ftg-data)= -# -# ## Airborne tensor gravity gradiometry (FTG) -# -# An airborne fixed-wing full-tensor gravity gradiometry (FTG) survey was simulated at a nominal drape height of 60 m above topography. -# -# The FTG system measures six independent components of the gradient tensor: $g_{xx},\; g_{xy},\; g_{xz},\; g_{yy},\; g_{yz}$ and $g_{zz}$. Data were leveled, free-air and terrain corrected with 2.67 g/cc reference density. -# -# -# ```{figure} ./images/GG_data.png -# --- -# scale: 50% -# name: ftg_data -# --- -# (Top) Components of the gravity gradiometry data measured over the zone of interest. (Bottom) The green and red marker indicate the flight direction. -# ``` -# - -# ## Ground gravity survey -# -# A ground gravity survey was simulated on sparsely sampled 200 m grid of stations. The data are provided a terrain corrected with -# reference density of 2.67 g/cc. -# -# ```{figure} ./images/GZ_data.png -# --- -# scale: 50% -# name: gz_data -# --- -# Vertical component of the gravity field (gz) measured over the zone of interest. -# ``` -# - -# (dc-data)= -# -# ## Direct-current resistivity (DCR) -# -# A ground dipole-dipole survey was simulated over the main ore body. The survey was acquired with 40 m dipole length, data measured on seven receivers per transmitter dipole. Line separation was set to 100 m ([Figure 5](dc_topo)). -# -# ```{figure} ./images/DCR_data.png -# --- -# scale: 50% -# name: dc_topo -# --- -# Pseudo-sections of apparent resisitvity and topography from the SRTM elevation model. -# ``` -# -# Note the large contrast in apparent resistivity between the western and eastern regions of the survey. This can be explained by a conductive tailing layer West of the deposit. -# -#

- -# (tipper-data)= -# -# ## Airborne tipper (Natural Source EM) -# -# An airborne tipper survey was simulated over the main ore body. The survey was acquired along East-West lines, 400 m spacing, at a drape height of 60 m ([Figure 5](dc_topo)). -# Tipper systems collect three orthogonal components of the ambiant magnetic field ($H_x,\;H_y,\;H_z$) in time. Similar to magnetotelluric surveys, the ratios of the components are used to circumvent the unknown source of the EM signal. The transfer functions, or tipper, are calculated by taking the ratio of the fields for two polarizations of the magnetic fields (EW and NS). The measurements are generally provided in the frequency-domain with both a real and an imaginary component. -# For more background information about natural source methods, see [em.geosci](https://em.geosci.xyz/content/geophysical_surveys/ztem/index.html) -# -# The survey used in this tutorial mimics the commercial [ZTEM](https://geotech.ca/services/electromagnetic/ztem-z-axis-tipper-electromagnetic-system/) system that measures the magnetic field at 6 frequencies (30, 45, 90, 180, 360 and 720 Hz). The base station is located at the center of the survey area. -# -# ```{figure} ./images/tipper_data.png -# --- -# scale: 50% -# name: tipper_topo -# --- -# Tipper data displayed by the 2D Profiler at all 6 frequencies for the 4 components ($T_{zx}$, $T_{zy}$, real and imaginary). -# ``` -# -# Note that the position of the known conductor correlate with large variations in the tipper data. -# -#

diff --git a/docs/case_study/dc_resistivity.ipynb b/docs/case_study/dc_resistivity.ipynb new file mode 100644 index 00000000..8b97436e --- /dev/null +++ b/docs/case_study/dc_resistivity.ipynb @@ -0,0 +1,81 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "66a76dc3", + "metadata": {}, + "source": [ + "

\n", + "\n", + "# Direct-current Resistivity Inversion\n", + "\n", + "This section focuses on the inversion of direct-current (DC) resistivity data using a conventional dipole-dipole array.\n", + "\n", + "

" + ] + }, + { + "cell_type": "markdown", + "id": "550546a1", + "metadata": {}, + "source": [ + "(dc-data)=\n", + "\n", + "## Data\n", + "\n", + "A ground dipole-dipole survey was simulated over the main ore body. The survey was acquired with 40 m dipole length, data measured on seven receivers per transmitter dipole. Line separation was set to 100 m ([Figure 5](dc_topo)).\n", + "\n", + "```{figure} ./images/DCR_data.png\n", + "---\n", + "scale: 50%\n", + "name: dc_topo\n", + "---\n", + "Pseudo-sections of apparent resisitvity and topography from the SRTM elevation model.\n", + "```\n", + "\n", + "Note the large contrast in apparent resistivity between the western and eastern regions of the survey. This can be explained by a conductive tailing layer West of the deposit.\n", + "\n", + "

" + ] + }, + { + "cell_type": "markdown", + "id": "25114dac", + "metadata": {}, + "source": [ + "## Unconstrained Inversion\n", + "\n", + "The direct-current data are inverted with uncertainties assigned based on a background resistivity value, then converted to potentials.\n", + "\n", + "[Add details]\n", + "\n", + "The following figure shows the data fit and models recovered after convergence.\n", + "\n", + "```{figure} ./images/dc_model_TOP.png\n", + "---\n", + "height: 400px\n", + "name: dc_model_TOP.png\n", + "---\n", + "(Top) (left) Observed and (right) predicted apparent resistivity data after convergence.\n", + "\n", + "(Bottom)\n", + "(Left) Horizontal section at 240 m elevation through the compact density model.\n", + "(Right) Vertical NS section through the recovered smooth resistivity model.\n", + "```\n", + "\n", + "We note a large contrast in conductivity in plan view, mostly limited as near-surface layer. This feature can be explained by the conductive tailings.\n", + "\n", + "

" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/case_study/dc_resistivity.py b/docs/case_study/dc_resistivity.py new file mode 100644 index 00000000..2aea0d49 --- /dev/null +++ b/docs/case_study/dc_resistivity.py @@ -0,0 +1,63 @@ +# --- +# jupyter: +# jupytext: +# text_representation: +# extension: .py +# format_name: light +# format_version: '1.5' +# jupytext_version: 1.16.2 +# kernelspec: +# display_name: Python 3 (ipykernel) +# language: python +# name: python3 +# --- + +#

+# +# # Direct-current Resistivity Inversion +# +# This section focuses on the inversion of direct-current (DC) resistivity data using a conventional dipole-dipole array. +# +#

+ +# (dc-data)= +# +# ## Data +# +# A ground dipole-dipole survey was simulated over the main ore body. The survey was acquired with 40 m dipole length, data measured on seven receivers per transmitter dipole. Line separation was set to 100 m ([Figure 5](dc_topo)). +# +# ```{figure} ./images/DCR_data.png +# --- +# scale: 50% +# name: dc_topo +# --- +# Pseudo-sections of apparent resisitvity and topography from the SRTM elevation model. +# ``` +# +# Note the large contrast in apparent resistivity between the western and eastern regions of the survey. This can be explained by a conductive tailing layer West of the deposit. +# +#

+ +# ## Unconstrained Inversion +# +# The direct-current data are inverted with uncertainties assigned based on a background resistivity value, then converted to potentials. +# +# [Add details] +# +# The following figure shows the data fit and models recovered after convergence. +# +# ```{figure} ./images/dc_model_TOP.png +# --- +# height: 400px +# name: dc_model_TOP.png +# --- +# (Top) (left) Observed and (right) predicted apparent resistivity data after convergence. +# +# (Bottom) +# (Left) Horizontal section at 240 m elevation through the compact density model. +# (Right) Vertical NS section through the recovered smooth resistivity model. +# ``` +# +# We note a large contrast in conductivity in plan view, mostly limited as near-surface layer. This feature can be explained by the conductive tailings. +# +#

diff --git a/docs/case_study/unconstrained_inversion.ipynb b/docs/case_study/gravity.ipynb similarity index 51% rename from docs/case_study/unconstrained_inversion.ipynb rename to docs/case_study/gravity.ipynb index 15bdbb75..e39199d0 100644 --- a/docs/case_study/unconstrained_inversion.ipynb +++ b/docs/case_study/gravity.ipynb @@ -2,49 +2,46 @@ "cells": [ { "cell_type": "markdown", - "id": "53c2b25c", + "id": "d34cea76", "metadata": {}, "source": [ "

\n", "\n", - "# Unconstrained inversions\n", + "# Gravity Inversion\n", "\n", - "In preparation for the joint inversion, we first inverted each dataset independently. It serves as a quality control step for data uncertainties estimation and mesh design. We can solve possible convergence issues before attempting to couple the physical property models in a joint process.\n" + "This section focuses on the inversion of airborne tensor and ground gravity data.\n", + "\n", + "\n", + "\n", + "

" ] }, { "cell_type": "markdown", - "id": "e48be50c", + "id": "99eafc35", "metadata": {}, "source": [ - "## Magnetic inversion\n", + "## Ground gravity data\n", "\n", - "The airborne magnetic data were inverted over a range of uncertainties in order to achieve an adequate data fit. Following the smooth solution, a series of IRLS iterations were performed to recover an alternate, more compact model. The following figure shows sections through the recovered models and compares the observed and predicted data.\n", "\n", + "A ground gravity survey was simulated on sparsely sampled 200 m grid of stations. The data are provided a terrain corrected with\n", + "reference density of 2.67 g/cc.\n", "\n", - "```{figure} ./images/mag_model_TOP.png\n", + "```{figure} ./images/GZ_data.png\n", "---\n", - "height: 400px\n", - "name: mag_model_TOP\n", + "scale: 50%\n", + "name: gz_data\n", "---\n", - "(Top) (left) Observed and (right) predicted data after convergence of the L2 (smooth) solution. Most of the data is well recovered.\n", - "\n", - "(Bottom) Horizontal slice at 255 m elevation for (left) the smooth and (right) compact magnetization models.\n", - "```\n", - "\n", - "\n", - "[Add more here]\n", - "\n", - "\n", - "

" + "Vertical component of the gravity field (gz) measured over the zone of interest.\n", + "```\n" ] }, { "cell_type": "markdown", - "id": "502f8f6f", + "id": "00f464ef", "metadata": {}, "source": [ - "## Ground gravity inversion\n", + "## Unconstrained ground gravity\n", "\n", "The ground gravity data (terrain corrected at 2.67 g/cc) were also inverted in the same fashion. A floor uncertainty value of 0.05 mGal was assigned.\n", "\n", @@ -67,57 +64,50 @@ }, { "cell_type": "markdown", - "id": "777f06aa", + "id": "5576b176", "metadata": {}, "source": [ - "## Gravity gradiometry inversion\n", + "(ftg-data)=\n", "\n", - "The airborne tensor gravity data (terrain corrected at 2.67 g/cc) were also inverted in the same fashion. A floor uncertainty value of 0.2 Eotvos was assigned to all the components.\n", + "## Tensor gravity gradiometry (FTG)\n", "\n", + "An airborne fixed-wing full-tensor gravity gradiometry (FTG) survey was simulated at a nominal drape height of 60 m above topography.\n", "\n", + "The FTG system measures six independent components of the gradient tensor: $g_{xx},\\; g_{xy},\\; g_{xz},\\; g_{yy},\\; g_{yz}$ and $g_{zz}$. Data were leveled, free-air and terrain corrected with 2.67 g/cc reference density.\n", "\n", - "```{figure} ./images/grav_gradio_model_TOP.png\n", + "\n", + "```{figure} ./images/GG_data.png\n", "---\n", - "height: 400px\n", - "name: grav_gradio_model_TOP\n", + "scale: 50%\n", + "name: ftg_data\n", "---\n", - "(Top) (left) Observed and (right) predicted gxx data after convergence of the L2 (smooth) solution. Most of the data is well recovered.\n", - "\n", - "(Bottom) Horizontal slice for (left) the smooth and (right) L1-norm density contrast models.\n", - "```\n", - "\n", - "We note a slight correlation to the shape of the known ore body\n", - "\n", - "\n", - "

" + "(Top) Components of the gravity gradiometry data measured over the zone of interest. (Bottom) The green and red marker indicate the flight direction.\n", + "```\n" ] }, { "cell_type": "markdown", - "id": "16429dac", + "id": "68b36693", "metadata": {}, "source": [ - "## Direct-current inversion\n", + "## Unconstrained FTG\n", "\n", - "The direct-current data are inverted with uncertainties assigned based on a background resistivity value, then converted to potentials.\n", + "The airborne tensor gravity data (terrain corrected at 2.67 g/cc) were also inverted in the same fashion. A floor uncertainty value of 0.2 Eotvos was assigned to all the components.\n", "\n", - "[Add details]\n", "\n", - "The following figure shows the data fit and models recovered after convergence.\n", "\n", - "```{figure} ./images/dc_model_TOP.png\n", + "```{figure} ./images/grav_gradio_model_TOP.png\n", "---\n", "height: 400px\n", - "name: dc_model_TOP.png\n", + "name: grav_gradio_model_TOP\n", "---\n", - "(Top) (left) Observed and (right) predicted apparent resistivity data after convergence.\n", + "(Top) (left) Observed and (right) predicted gxx data after convergence of the L2 (smooth) solution. Most of the data is well recovered.\n", "\n", - "(Bottom)\n", - "(Left) Horizontal section at 240 m elevation through the compact density model.\n", - "(Right) Vertical NS section through the recovered smooth resistivity model.\n", + "(Bottom) Horizontal slice for (left) the smooth and (right) L1-norm density contrast models.\n", "```\n", "\n", - "We note a large contrast in conductivity in plan view, mostly limited as near-surface layer. This feature can be explained by the conductive tailings.\n", + "We note a slight correlation to the shape of the known ore body\n", + "\n", "\n", "

" ] diff --git a/docs/case_study/gravity.py b/docs/case_study/gravity.py new file mode 100644 index 00000000..43d8456c --- /dev/null +++ b/docs/case_study/gravity.py @@ -0,0 +1,98 @@ +# --- +# jupyter: +# jupytext: +# text_representation: +# extension: .py +# format_name: light +# format_version: '1.5' +# jupytext_version: 1.16.2 +# kernelspec: +# display_name: Python 3 (ipykernel) +# language: python +# name: python3 +# --- + +#

+# +# # Gravity Inversion +# +# This section focuses on the inversion of airborne tensor and ground gravity data. +# +# +# +#

+ +# ## Ground gravity data +# +# +# A ground gravity survey was simulated on sparsely sampled 200 m grid of stations. The data are provided a terrain corrected with +# reference density of 2.67 g/cc. +# +# ```{figure} ./images/GZ_data.png +# --- +# scale: 50% +# name: gz_data +# --- +# Vertical component of the gravity field (gz) measured over the zone of interest. +# ``` +# + +# ## Unconstrained ground gravity +# +# The ground gravity data (terrain corrected at 2.67 g/cc) were also inverted in the same fashion. A floor uncertainty value of 0.05 mGal was assigned. +# +# +# +# ```{figure} ./images/ground_grav_model_TOP.png +# --- +# height: 400px +# name: ground_grav_model_TOP +# --- +# (Top) (left) Observed and (right) predicted gz data after convergence of the L2 (smooth) solution. Most of the data is well recovered. +# +# (Bottom) Horizontal slice for (left) the smooth and (right) L1-norm density contrast models. +# ``` +# +# [Add more here] +# +# We note a slight correlation to the shape of the known ore body +# + +# (ftg-data)= +# +# ## Tensor gravity gradiometry (FTG) +# +# An airborne fixed-wing full-tensor gravity gradiometry (FTG) survey was simulated at a nominal drape height of 60 m above topography. +# +# The FTG system measures six independent components of the gradient tensor: $g_{xx},\; g_{xy},\; g_{xz},\; g_{yy},\; g_{yz}$ and $g_{zz}$. Data were leveled, free-air and terrain corrected with 2.67 g/cc reference density. +# +# +# ```{figure} ./images/GG_data.png +# --- +# scale: 50% +# name: ftg_data +# --- +# (Top) Components of the gravity gradiometry data measured over the zone of interest. (Bottom) The green and red marker indicate the flight direction. +# ``` +# + +# ## Unconstrained FTG +# +# The airborne tensor gravity data (terrain corrected at 2.67 g/cc) were also inverted in the same fashion. A floor uncertainty value of 0.2 Eotvos was assigned to all the components. +# +# +# +# ```{figure} ./images/grav_gradio_model_TOP.png +# --- +# height: 400px +# name: grav_gradio_model_TOP +# --- +# (Top) (left) Observed and (right) predicted gxx data after convergence of the L2 (smooth) solution. Most of the data is well recovered. +# +# (Bottom) Horizontal slice for (left) the smooth and (right) L1-norm density contrast models. +# ``` +# +# We note a slight correlation to the shape of the known ore body +# +# +#

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    \n", "\n", "# Tutorials\n", "\n", + "This chapter demonstrates how to run standalone and joint inversions of geophysical data using SimPEG and the user-interface created for Geoscience ANALYST. We generated several synthetic surveys over the Flin Flon model to simulate an exploration program over a VMS deposit.\n", + "The goal is to use ground and airborne geophysics to characterize the physical property and shape of the ore body and host rocks. This case study focuses on the following three datasets and respective physical properties:\n", + "\n", + "In preparation for the joint inversion, we first inverted each dataset independently ([Figure 1](standalone)). It serves as a quality control step for data uncertainties estimation and mesh design. We can solve possible convergence issues before attempting to couple the physical property models in a joint process.\n", + "\n", + "The data is then jointly with a cross-gradient coupling constraint ([Figure 2](joint)).\n", + "\n", "\n", "```{figure} ./images/ore_body.png\n", "---\n", @@ -18,23 +25,14 @@ "Discrete geological model of the ore deposit and host units.\n", "```\n", "\n", - "\n", - "This chapter demonstrates how to run standalone and joint inversions of geophysical data using SimPEG and the user-interface created for Geoscience ANALYST. We generated several synthetic surveys over the Flin Flon model to simulate an exploration program over a VMS deposit.\n", - "The goal is to use ground and airborne geophysics to characterize the physical property and shape of the ore body and host rocks. This case study focuses on the following three datasets and respective physical properties:\n", - "\n", - "- [Magnetic Total Field (TMI)](magnetic-data) -> magnetization\n", - "- [Full-tensor gravity gradiometry (FTG)](ftg-data) -> density\n", - "- [Direct-current resistivity (DCR)](dc-data) -> resistivity (shallow)\n", - "- [Airborne Tipper (NSEM)](tipper-data) -> resistivity (deep)\n", - "\n", - "The datasets are first inverted independently ([Figure 1](standalone)), then jointly with a cross-gradient coupling constraint ([Figure 2](joint)).\n", - "\n", "The following sections provide details about the processing and results. A compilation `geoh5` project can be found in the `simpeg-drivers-assets` folder.\n", "\n", "- [Background information](background.ipynb)\n", - "- [Data](data.ipynb)\n", - "- [Mesh design](mesh_design.ipynb)\n", - "- [Unconstrained inversions](unconstrained_inversion.ipynb)\n", + "- [Magnetic Total Field (TMI)](magnetic)\n", + "- [Full-tensor gravity gradiometry (FTG)](gravity)\n", + "- [Direct-current resistivity (DCR)](dc_resistivity)\n", + "- [Airborne Tipper (NSEM)](tipper)\n", + "- [Airborne Time-Domain EM (ATEM)](airborne_tem)\n", "- [Joint inversion](joint_inversion.ipynb)" ] } diff --git a/docs/case_study/introduction.py b/docs/case_study/introduction.py index cdff9639..c79611a5 100644 --- a/docs/case_study/introduction.py +++ b/docs/case_study/introduction.py @@ -16,6 +16,13 @@ # # # Tutorials # +# This chapter demonstrates how to run standalone and joint inversions of geophysical data using SimPEG and the user-interface created for Geoscience ANALYST. We generated several synthetic surveys over the Flin Flon model to simulate an exploration program over a VMS deposit. +# The goal is to use ground and airborne geophysics to characterize the physical property and shape of the ore body and host rocks. This case study focuses on the following three datasets and respective physical properties: +# +# In preparation for the joint inversion, we first inverted each dataset independently ([Figure 1](standalone)). It serves as a quality control step for data uncertainties estimation and mesh design. We can solve possible convergence issues before attempting to couple the physical property models in a joint process. +# +# The data is then jointly with a cross-gradient coupling constraint ([Figure 2](joint)). +# # # ```{figure} ./images/ore_body.png # --- @@ -25,21 +32,12 @@ # Discrete geological model of the ore deposit and host units. # ``` # -# -# This chapter demonstrates how to run standalone and joint inversions of geophysical data using SimPEG and the user-interface created for Geoscience ANALYST. We generated several synthetic surveys over the Flin Flon model to simulate an exploration program over a VMS deposit. -# The goal is to use ground and airborne geophysics to characterize the physical property and shape of the ore body and host rocks. This case study focuses on the following three datasets and respective physical properties: -# -# - [Magnetic Total Field (TMI)](magnetic-data) -> magnetization -# - [Full-tensor gravity gradiometry (FTG)](ftg-data) -> density -# - [Direct-current resistivity (DCR)](dc-data) -> resistivity (shallow) -# - [Airborne Tipper (NSEM)](tipper-data) -> resistivity (deep) -# -# The datasets are first inverted independently ([Figure 1](standalone)), then jointly with a cross-gradient coupling constraint ([Figure 2](joint)). -# # The following sections provide details about the processing and results. A compilation `geoh5` project can be found in the `simpeg-drivers-assets` folder. # # - [Background information](background.ipynb) -# - [Data](data.ipynb) -# - [Mesh design](mesh_design.ipynb) -# - [Unconstrained inversions](unconstrained_inversion.ipynb) +# - [Magnetic Total Field (TMI)](magnetic) +# - [Full-tensor gravity gradiometry (FTG)](gravity) +# - [Direct-current resistivity (DCR)](dc_resistivity) +# - [Airborne Tipper (NSEM)](tipper) +# - [Airborne Time-Domain EM (ATEM)](airborne_tem) # - [Joint inversion](joint_inversion.ipynb) diff --git a/docs/case_study/joint_inversion.ipynb b/docs/case_study/joint_inversion.ipynb index 4a9011f4..02e51ef7 100644 --- a/docs/case_study/joint_inversion.ipynb +++ b/docs/case_study/joint_inversion.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "151a6cd9", + "id": "c682f5c2", "metadata": {}, "source": [ "# Joint Inversion\n", diff --git a/docs/case_study/magnetic.ipynb b/docs/case_study/magnetic.ipynb new file mode 100644 index 00000000..037a9503 --- /dev/null +++ b/docs/case_study/magnetic.ipynb @@ -0,0 +1,156 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "64e79b57", + "metadata": {}, + "source": [ + "

    \n", + "\n", + "# Magnetic Inversion\n", + "\n", + "This section focuses on the inversion of magnetic data using a scalar (susceptibility) and a magnetization (vector) approach.\n", + "\n", + "\n", + "

    " + ] + }, + { + "cell_type": "markdown", + "id": "b8fb5dec", + "metadata": {}, + "source": [ + "(magnetic-data)=\n", + "\n", + "## Data (TMI)\n", + "\n", + "We simulated Residual Magnetic Intensity (RMI) data along East-West lines at a 40 m drape height above topography. The line spacing was set to 200 m, with along-line data downsampled to 10 m.\n", + "\n", + "The following parameters were used for the forward simulation:\n", + "\n", + "```{figure} ./images/magnetics/forward.png\n", + "---\n", + "scale: 50%\n", + "name: mag_forward\n", + "---\n", + "```\n", + "\n", + "This simulation assumes a purely induced response with no additional information provided about the direction of magnetization.\n", + "\n", + "\n", + "\n", + "```{figure} ./images/magnetics/MAG_data.png\n", + "---\n", + "scale: 50%\n", + "name: mag_data\n", + "---\n", + "Residual magnetic intensity (RMI) data measured over the zone of interest.\n", + "```\n", + "\n", + "We can notice a strong correlation between the RMI data and the horizontal position of the ore body.\n", + "\n", + "

    " + ] + }, + { + "cell_type": "markdown", + "id": "3846ec0e", + "metadata": {}, + "source": [ + "## Mesh creation\n", + "\n", + "In preparation for the the inversion, we can create an optimal octree mesh for this survey. For potential fields data, only the discretization below ground matters as air cells are ignored in the calculations. [Figure X]() shows the parameters used in this case.\n", + "\n", + "```{figure} ./images/magnetics/mesh_core.png\n", + "---\n", + "scale: 50%\n", + "name: mag_data\n", + "---\n", + "Residual magnetic intensity (RMI) data measured over the zone of interest.\n", + "```\n", + "\n", + "For the refinement, ...\n", + "\n", + "\n", + "```{figure} ./images/magnetics/mesh_refinement.png\n", + "---\n", + "scale: 50%\n", + "name: mag_data\n", + "---\n", + "Residual magnetic intensity (RMI) data measured over the zone of interest.\n", + "```\n", + "\n", + "\n", + "See [Mesh creation](../inversion/mesh_design.ipynb) section for general details on the parameters.\n" + ] + }, + { + "cell_type": "markdown", + "id": "93e9f2f4", + "metadata": {}, + "source": [ + "## Scalar inversion (susceptibility)\n", + "\n", + "The airborne magnetic data were inverted over a range of uncertainties in order to achieve an adequate data fit. Following the smooth solution, a series of IRLS iterations were performed to recover an alternate, more compact model. The following figure shows sections through the recovered models and compares the observed and predicted data.\n", + "\n", + "\n", + "```{figure} ./images/mag_model_TOP.png\n", + "---\n", + "height: 400px\n", + "\n", + "name: mag_model_TOP\n", + "---\n", + "(Top) (left) Observed and (right) predicted data after convergence of the L2 (smooth) solution. Most of the data is well recovered.\n", + "\n", + "(Bottom) Horizontal slice at 255 m elevation for (left) the smooth and (right) compact magnetization models.\n", + "```\n" + ] + }, + { + "cell_type": "markdown", + "id": "e3da2e13", + "metadata": {}, + "source": [ + "## Magnetic vector inversion (MVI)\n", + "\n", + "The airborne magnetic data were inverted over a range of uncertainties in order to achieve an adequate data fit. Following the smooth solution, a series of IRLS iterations were performed to recover an alternate, more compact model. The following figure shows sections through the recovered models and compares the observed and predicted data.\n", + "\n", + "\n", + "```{figure} ./images/mag_model_TOP.png\n", + "---\n", + "height: 400px\n", + "name: mag_model_TOP\n", + "---\n", + "(Top) (left) Observed and (right) predicted data after convergence of the L2 (smooth) solution. Most of the data is well recovered.\n", + "\n", + "(Bottom) Horizontal slice at 255 m elevation for (left) the smooth and (right) compact magnetization models.\n", + "```\n", + "\n", + "\n", + "[Add more here]\n", + "\n", + "\n", + "

    " + ] + }, + { + "cell_type": "markdown", + "id": "ea2f29bd", + "metadata": {}, + "source": [ + "## Compact models\n", + "\n", + "\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/case_study/magnetic.py b/docs/case_study/magnetic.py new file mode 100644 index 00000000..31e452da --- /dev/null +++ b/docs/case_study/magnetic.py @@ -0,0 +1,123 @@ +# --- +# jupyter: +# jupytext: +# text_representation: +# extension: .py +# format_name: light +# format_version: '1.5' +# jupytext_version: 1.16.2 +# kernelspec: +# display_name: Python 3 (ipykernel) +# language: python +# name: python3 +# --- + +#

    +# +# # Magnetic Inversion +# +# This section focuses on the inversion of magnetic data using a scalar (susceptibility) and a magnetization (vector) approach. +# +# +#

    + +# (magnetic-data)= +# +# ## Data (TMI) +# +# We simulated Residual Magnetic Intensity (RMI) data along East-West lines at a 40 m drape height above topography. The line spacing was set to 200 m, with along-line data downsampled to 10 m. +# +# The following parameters were used for the forward simulation: +# +# ```{figure} ./images/magnetics/forward.png +# --- +# scale: 50% +# name: mag_forward +# --- +# ``` +# +# This simulation assumes a purely induced response with no additional information provided about the direction of magnetization. +# +# +# +# ```{figure} ./images/magnetics/MAG_data.png +# --- +# scale: 50% +# name: mag_data +# --- +# Residual magnetic intensity (RMI) data measured over the zone of interest. +# ``` +# +# We can notice a strong correlation between the RMI data and the horizontal position of the ore body. +# +#

    + +# ## Mesh creation +# +# In preparation for the the inversion, we can create an optimal octree mesh for this survey. For potential fields data, only the discretization below ground matters as air cells are ignored in the calculations. [Figure X]() shows the parameters used in this case. +# +# ```{figure} ./images/magnetics/mesh_core.png +# --- +# scale: 50% +# name: mag_data +# --- +# Residual magnetic intensity (RMI) data measured over the zone of interest. +# ``` +# +# For the refinement, ... +# +# +# ```{figure} ./images/magnetics/mesh_refinement.png +# --- +# scale: 50% +# name: mag_data +# --- +# Residual magnetic intensity (RMI) data measured over the zone of interest. +# ``` +# +# +# See [Mesh creation](../inversion/mesh_design.ipynb) section for general details on the parameters. +# + +# ## Scalar inversion (susceptibility) +# +# The airborne magnetic data were inverted over a range of uncertainties in order to achieve an adequate data fit. Following the smooth solution, a series of IRLS iterations were performed to recover an alternate, more compact model. The following figure shows sections through the recovered models and compares the observed and predicted data. +# +# +# ```{figure} ./images/mag_model_TOP.png +# --- +# height: 400px +# +# name: mag_model_TOP +# --- +# (Top) (left) Observed and (right) predicted data after convergence of the L2 (smooth) solution. Most of the data is well recovered. +# +# (Bottom) Horizontal slice at 255 m elevation for (left) the smooth and (right) compact magnetization models. +# ``` +# + +# ## Magnetic vector inversion (MVI) +# +# The airborne magnetic data were inverted over a range of uncertainties in order to achieve an adequate data fit. Following the smooth solution, a series of IRLS iterations were performed to recover an alternate, more compact model. The following figure shows sections through the recovered models and compares the observed and predicted data. +# +# +# ```{figure} ./images/mag_model_TOP.png +# --- +# height: 400px +# name: mag_model_TOP +# --- +# (Top) (left) Observed and (right) predicted data after convergence of the L2 (smooth) solution. Most of the data is well recovered. +# +# (Bottom) Horizontal slice at 255 m elevation for (left) the smooth and (right) compact magnetization models. +# ``` +# +# +# [Add more here] +# +# +#

    + +# ## Compact models +# +# +# diff --git a/docs/case_study/tipper.ipynb b/docs/case_study/tipper.ipynb new file mode 100644 index 00000000..bdd18832 --- /dev/null +++ b/docs/case_study/tipper.ipynb @@ -0,0 +1,55 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "ff8168fa", + "metadata": {}, + "source": [ + "

    \n", + "\n", + "# Airborne Tipper Inversion\n", + "\n", + "This section focuses on the inversion of airborne tipper data.\n", + "\n", + "

    " + ] + }, + { + "cell_type": "markdown", + "id": "9d622e6b", + "metadata": {}, + "source": [ + "(tipper-data)=\n", + "\n", + "## Airborne tipper (Natural Source EM)\n", + "\n", + "An airborne tipper survey was simulated over the main ore body. The survey was acquired along East-West lines, 400 m spacing, at a drape height of 60 m ([Figure 5](dc_topo)).\n", + "Tipper systems collect three orthogonal components of the ambiant magnetic field ($H_x,\\;H_y,\\;H_z$) in time. Similar to magnetotelluric surveys, the ratios of the components are used to circumvent the unknown source of the EM signal. The transfer functions, or tipper, are calculated by taking the ratio of the fields for two polarizations of the magnetic fields (EW and NS). The measurements are generally provided in the frequency-domain with both a real and an imaginary component.\n", + "For more background information about natural source methods, see [em.geosci](https://em.geosci.xyz/content/geophysical_surveys/ztem/index.html)\n", + "\n", + "The survey used in this tutorial mimics the commercial [ZTEM](https://geotech.ca/services/electromagnetic/ztem-z-axis-tipper-electromagnetic-system/) system that measures the magnetic field at 6 frequencies (30, 45, 90, 180, 360 and 720 Hz). The base station is located at the center of the survey area.\n", + "\n", + "```{figure} ./images/tipper_data.png\n", + "---\n", + "scale: 50%\n", + "name: tipper_topo\n", + "---\n", + "Tipper data displayed by the 2D Profiler at all 6 frequencies for the 4 components ($T_{zx}$, $T_{zy}$, real and imaginary).\n", + "```\n", + "\n", + "Note that the position of the known conductor correlate with large variations in the tipper data.\n", + "\n", + "

    " + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/case_study/tipper.py b/docs/case_study/tipper.py new file mode 100644 index 00000000..a0528783 --- /dev/null +++ b/docs/case_study/tipper.py @@ -0,0 +1,43 @@ +# --- +# jupyter: +# jupytext: +# text_representation: +# extension: .py +# format_name: light +# format_version: '1.5' +# jupytext_version: 1.16.2 +# kernelspec: +# display_name: Python 3 (ipykernel) +# language: python +# name: python3 +# --- + +#

    +# +# # Airborne Tipper Inversion +# +# This section focuses on the inversion of airborne tipper data. +# +#

    + +# (tipper-data)= +# +# ## Airborne tipper (Natural Source EM) +# +# An airborne tipper survey was simulated over the main ore body. The survey was acquired along East-West lines, 400 m spacing, at a drape height of 60 m ([Figure 5](dc_topo)). +# Tipper systems collect three orthogonal components of the ambiant magnetic field ($H_x,\;H_y,\;H_z$) in time. Similar to magnetotelluric surveys, the ratios of the components are used to circumvent the unknown source of the EM signal. The transfer functions, or tipper, are calculated by taking the ratio of the fields for two polarizations of the magnetic fields (EW and NS). The measurements are generally provided in the frequency-domain with both a real and an imaginary component. +# For more background information about natural source methods, see [em.geosci](https://em.geosci.xyz/content/geophysical_surveys/ztem/index.html) +# +# The survey used in this tutorial mimics the commercial [ZTEM](https://geotech.ca/services/electromagnetic/ztem-z-axis-tipper-electromagnetic-system/) system that measures the magnetic field at 6 frequencies (30, 45, 90, 180, 360 and 720 Hz). The base station is located at the center of the survey area. +# +# ```{figure} ./images/tipper_data.png +# --- +# scale: 50% +# name: tipper_topo +# --- +# Tipper data displayed by the 2D Profiler at all 6 frequencies for the 4 components ($T_{zx}$, $T_{zy}$, real and imaginary). +# ``` +# +# Note that the position of the known conductor correlate with large variations in the tipper data. +# +#

    diff --git a/docs/case_study/unconstrained_inversion.py b/docs/case_study/unconstrained_inversion.py deleted file mode 100644 index b2118b3b..00000000 --- a/docs/case_study/unconstrained_inversion.py +++ /dev/null @@ -1,107 +0,0 @@ -# --- -# jupyter: -# jupytext: -# text_representation: -# extension: .py -# format_name: light -# format_version: '1.5' -# jupytext_version: 1.16.1 -# kernelspec: -# display_name: Python 3 (ipykernel) -# language: python -# name: python3 -# --- - -#

    -# -# # Unconstrained inversions -# -# In preparation for the joint inversion, we first inverted each dataset independently. It serves as a quality control step for data uncertainties estimation and mesh design. We can solve possible convergence issues before attempting to couple the physical property models in a joint process. -# - -# ## Magnetic inversion -# -# The airborne magnetic data were inverted over a range of uncertainties in order to achieve an adequate data fit. Following the smooth solution, a series of IRLS iterations were performed to recover an alternate, more compact model. The following figure shows sections through the recovered models and compares the observed and predicted data. -# -# -# ```{figure} ./images/mag_model_TOP.png -# --- -# height: 400px -# name: mag_model_TOP -# --- -# (Top) (left) Observed and (right) predicted data after convergence of the L2 (smooth) solution. Most of the data is well recovered. -# -# (Bottom) Horizontal slice at 255 m elevation for (left) the smooth and (right) compact magnetization models. -# ``` -# -# -# [Add more here] -# -# -#

    - -# ## Ground gravity inversion -# -# The ground gravity data (terrain corrected at 2.67 g/cc) were also inverted in the same fashion. A floor uncertainty value of 0.05 mGal was assigned. -# -# -# -# ```{figure} ./images/ground_grav_model_TOP.png -# --- -# height: 400px -# name: ground_grav_model_TOP -# --- -# (Top) (left) Observed and (right) predicted gz data after convergence of the L2 (smooth) solution. Most of the data is well recovered. -# -# (Bottom) Horizontal slice for (left) the smooth and (right) L1-norm density contrast models. -# ``` -# -# [Add more here] -# -# We note a slight correlation to the shape of the known ore body -# - -# ## Gravity gradiometry inversion -# -# The airborne tensor gravity data (terrain corrected at 2.67 g/cc) were also inverted in the same fashion. A floor uncertainty value of 0.2 Eotvos was assigned to all the components. -# -# -# -# ```{figure} ./images/grav_gradio_model_TOP.png -# --- -# height: 400px -# name: grav_gradio_model_TOP -# --- -# (Top) (left) Observed and (right) predicted gxx data after convergence of the L2 (smooth) solution. Most of the data is well recovered. -# -# (Bottom) Horizontal slice for (left) the smooth and (right) L1-norm density contrast models. -# ``` -# -# We note a slight correlation to the shape of the known ore body -# -# -#

    - -# ## Direct-current inversion -# -# The direct-current data are inverted with uncertainties assigned based on a background resistivity value, then converted to potentials. -# -# [Add details] -# -# The following figure shows the data fit and models recovered after convergence. -# -# ```{figure} ./images/dc_model_TOP.png -# --- -# height: 400px -# name: dc_model_TOP.png -# --- -# (Top) (left) Observed and (right) predicted apparent resistivity data after convergence. -# -# (Bottom) -# (Left) Horizontal section at 240 m elevation through the compact density model. -# (Right) Vertical NS section through the recovered smooth resistivity model. -# ``` -# -# We note a large contrast in conductivity in plan view, mostly limited as near-surface layer. This feature can be explained by the conductive tailings. -# -#

    diff --git a/docs/inversion/data_misfit.ipynb b/docs/inversion/data_misfit.ipynb index f0d26735..d93ffa05 100644 --- a/docs/inversion/data_misfit.ipynb +++ b/docs/inversion/data_misfit.ipynb @@ -2,14 +2,14 @@ "cells": [ { "cell_type": "markdown", - "id": "ade53bd5", + "id": "400c1849", "metadata": {}, "source": [ "(data_misfit)=\n", "\n", - "# Data Misfit\n", + "# Data Fitting\n", "\n", - "This section focuses on the misfit function $\\phi_d$ and related data uncertainties. The data misfit function measures the quality of a model $\\mathbf{m}$ at **fitting the observed data**. It generally takes the form\n", + "The data misfit function ($\\phi_d$) measures the quality of a model $\\mathbf{m}$ at **fitting the observed data**. It generally takes the form\n", "\n", "$$\n", "\\phi_d =\\sum_{i=1}^{N}\\left(\\frac{d_i^{pred} - {d}_i^{obs}}{w_i}\\right)^2 \\;.\n", @@ -32,10 +32,10 @@ }, { "cell_type": "markdown", - "id": "331f6bcb", + "id": "416d1156", "metadata": {}, "source": [ - "## Data Uncertainties\n", + "## Uncertainties\n", "\n", "As mentioned in the [Data Misfit](#Data-Misfit) section, we want to assign **data uncertainties** that reflect our inability to perfectly replicate the observed data, within an acceptable level. While many strategies can be used, we are going to demonstrate basic principles to assess the effectiveness of a chosen method. We will employ two basic strategies:\n", "\n", @@ -47,7 +47,7 @@ }, { "cell_type": "markdown", - "id": "aac9c087", + "id": "29920cd0", "metadata": {}, "source": [ "![setup_plot](./images/setup_plot.png)\n", @@ -57,7 +57,7 @@ }, { "cell_type": "markdown", - "id": "e7bac8e9", + "id": "c9d12908", "metadata": {}, "source": [ "### Constant floor\n", @@ -69,7 +69,7 @@ }, { "cell_type": "markdown", - "id": "e170ac62", + "id": "51448b95", "metadata": {}, "source": [ "#### Noise floor too high\n", @@ -79,7 +79,7 @@ }, { "cell_type": "markdown", - "id": "e83cef43", + "id": "d87abff2", "metadata": {}, "source": [ "![large_floor_plot](./images/large_floor_plot.png)\n", @@ -88,7 +88,7 @@ }, { "cell_type": "markdown", - "id": "4a4db1ad", + "id": "9e96b005", "metadata": {}, "source": [ "#### Noise floor too low\n", @@ -98,7 +98,7 @@ }, { "cell_type": "markdown", - "id": "ee338b12", + "id": "c7190ed6", "metadata": {}, "source": [ "![small_floor_plot](./images/small_floor_plot.png)\n", @@ -107,7 +107,7 @@ }, { "cell_type": "markdown", - "id": "0211e3c6", + "id": "fa7d2b76", "metadata": {}, "source": [ "#### Optimal\n", @@ -117,7 +117,7 @@ }, { "cell_type": "markdown", - "id": "8655de8f", + "id": "8620fd04", "metadata": {}, "source": [ "![correct_floor_plot](./images/correct_floor_plot.png)\n", @@ -126,7 +126,7 @@ }, { "cell_type": "markdown", - "id": "e8f4b70a", + "id": "dd6d28d7", "metadata": {}, "source": [ "### Amplitude (%)\n", @@ -144,7 +144,7 @@ }, { "cell_type": "markdown", - "id": "354d97cd", + "id": "e9b9fe6e", "metadata": {}, "source": [ "![percent_floor_plot](./images/percent_floor_plot.png)\n", @@ -153,7 +153,7 @@ }, { "cell_type": "markdown", - "id": "0b30b695", + "id": "619828eb", "metadata": {}, "source": [ "## Summary\n", diff --git a/docs/inversion/data_misfit.py b/docs/inversion/data_misfit.py index e081758d..3475cd5e 100644 --- a/docs/inversion/data_misfit.py +++ b/docs/inversion/data_misfit.py @@ -5,7 +5,7 @@ # extension: .py # format_name: light # format_version: '1.5' -# jupytext_version: 1.16.1 +# jupytext_version: 1.16.2 # kernelspec: # display_name: Python 3 (ipykernel) # language: python @@ -14,9 +14,9 @@ # (data_misfit)= # -# # Data Misfit +# # Data Fitting # -# This section focuses on the misfit function $\phi_d$ and related data uncertainties. The data misfit function measures the quality of a model $\mathbf{m}$ at **fitting the observed data**. It generally takes the form +# The data misfit function ($\phi_d$) measures the quality of a model $\mathbf{m}$ at **fitting the observed data**. It generally takes the form # # $$ # \phi_d =\sum_{i=1}^{N}\left(\frac{d_i^{pred} - {d}_i^{obs}}{w_i}\right)^2 \;. @@ -36,7 +36,7 @@ # # In all cases, we may never expect the data residual to completely vanish, but we may allow it to be within an *acceptable* level of fitness for modelling purposes. -# ## Data Uncertainties +# ## Uncertainties # # As mentioned in the [Data Misfit](#Data-Misfit) section, we want to assign **data uncertainties** that reflect our inability to perfectly replicate the observed data, within an acceptable level. While many strategies can be used, we are going to demonstrate basic principles to assess the effectiveness of a chosen method. We will employ two basic strategies: # diff --git a/docs/inversion/fundamentals.ipynb b/docs/inversion/fundamentals.ipynb index 4a36bbe9..82271bad 100644 --- a/docs/inversion/fundamentals.ipynb +++ b/docs/inversion/fundamentals.ipynb @@ -2,17 +2,17 @@ "cells": [ { "cell_type": "markdown", - "id": "39f62ec6", + "id": "c96f9270", "metadata": {}, "source": [ - "# Inversion Fundamentals\n", + "# Background\n", "\n", "This section provides the mathematical background to understand the inversion algorithm. We are going to use standard terminology and nomenclature used in the literature as a framework. Even though we are going to use mathematical expressions, it is only a vehicle to help in understanding the influence of different parameters controlling the outcome of an inversion." ] }, { "cell_type": "markdown", - "id": "c96ce5dd", + "id": "fdbab9b1", "metadata": {}, "source": [ "## Forward simulation\n", @@ -49,7 +49,7 @@ }, { "cell_type": "markdown", - "id": "d2460492", + "id": "3763d71d", "metadata": {}, "source": [ "### Example\n", @@ -80,7 +80,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f601b150", + "id": "5440b947", "metadata": {}, "outputs": [], "source": [ @@ -90,7 +90,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e0fb813b", + "id": "3b0c3ab2", "metadata": {}, "outputs": [], "source": [ @@ -99,7 +99,7 @@ }, { "cell_type": "markdown", - "id": "3df9fec2", + "id": "09ddd4b3", "metadata": {}, "source": [ "For given values for $\\mathbf{m}$, we have a way to compute data $\\mathbf{d}$. For example, for\n", @@ -109,7 +109,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d62d3acf", + "id": "31229942", "metadata": {}, "outputs": [], "source": [ @@ -118,7 +118,7 @@ }, { "cell_type": "markdown", - "id": "04783b5e", + "id": "c1341098", "metadata": {}, "source": [ "(inverse_problem)=\n", @@ -186,7 +186,7 @@ }, { "cell_type": "markdown", - "id": "56d21a9c", + "id": "9c09c343", "metadata": { "lines_to_next_cell": 2 }, @@ -207,7 +207,7 @@ }, { "cell_type": "markdown", - "id": "ee069c87", + "id": "d48040bb", "metadata": {}, "source": [ "Since $\\mathbf{F}$ does not have an inverse, we can instead solve the least-norm problem\n", @@ -234,7 +234,7 @@ { "cell_type": "code", "execution_count": null, - "id": "40ee9b73", + "id": "6440f625", "metadata": {}, "outputs": [], "source": [ @@ -246,7 +246,7 @@ }, { "cell_type": "markdown", - "id": "de400bb8", + "id": "e74a662b", "metadata": {}, "source": [ "We can get around this by adding a small value to `regularize` the system such that\n", @@ -259,7 +259,7 @@ { "cell_type": "code", "execution_count": null, - "id": "255f0896", + "id": "00f0e423", "metadata": {}, "outputs": [], "source": [ @@ -268,7 +268,7 @@ }, { "cell_type": "markdown", - "id": "b5521668", + "id": "edc5528f", "metadata": {}, "source": [ "We have found a solution to this under-determined problem: $m = [0.2,\\; 0.4]$. This result is known as the `least-norm` solution, which differs from the true answer $m = [0.5, \\;0.25]$. Other \"better\" solutions could be found if more information is provided to the inverse problem to push the model towards expected values. This will be the topic of the [Regularization Section](regularization.ipynb)" @@ -276,7 +276,7 @@ }, { "cell_type": "markdown", - "id": "80cdc452", + "id": "464cee86", "metadata": {}, "source": [ "

    " diff --git a/docs/inversion/fundamentals.py b/docs/inversion/fundamentals.py index 65a87baa..d84c6a82 100644 --- a/docs/inversion/fundamentals.py +++ b/docs/inversion/fundamentals.py @@ -5,14 +5,14 @@ # extension: .py # format_name: light # format_version: '1.5' -# jupytext_version: 1.16.1 +# jupytext_version: 1.16.2 # kernelspec: # display_name: Python 3 (ipykernel) # language: python # name: python3 # --- -# # Inversion Fundamentals +# # Background # # This section provides the mathematical background to understand the inversion algorithm. We are going to use standard terminology and nomenclature used in the literature as a framework. Even though we are going to use mathematical expressions, it is only a vehicle to help in understanding the influence of different parameters controlling the outcome of an inversion. diff --git a/docs/inversion/index.ipynb b/docs/inversion/index.ipynb index dd54f378..17a849ea 100644 --- a/docs/inversion/index.ipynb +++ b/docs/inversion/index.ipynb @@ -2,19 +2,21 @@ "cells": [ { "cell_type": "markdown", - "id": "9f54c216", + "id": "f3e07b8e", "metadata": {}, "source": [ - "# Theory\n", + "# Fundamentals\n", "\n", "This module documents the use of [SimPEG](simpeg.xyz) for geophysical data inversion with user-interface (UIjson) made available through the [Mira Geoscience-geoapps](https://geoapps.readthedocs.io/en/latest/) project. While the code itself has its own documentation, there is a need to demonstrate the effect of parameters controlling the inversion. This document is meant to be a reference guide with practical examples to help practitioners with their inversion work.\n", "\n", "\n", - "- [Inversion Fundamentals](fundamentals.ipynb): An overview of the inversion framework.\n", + "- [Background](fundamentals.ipynb): An overview of the inversion framework.\n", "\n", - "- [Data Misfit](data_misfit.ipynb): Assigning data uncertainties and target.\n", + "- [Data Fit](data_misfit.ipynb): Assigning uncertainties and global target (data misfit).\n", "\n", - "- [Regularization](regularization.ipynb): Adding modeling constraints on the solution.\n", + "- [Constraints](regularization.ipynb): Adding modeling constraints (regularization).\n", + "\n", + "- [Mesh Design](mesh_design.ipynb): Designing an inversion mesh.\n", "\n", "- [Joint/Coupling Strategies](joint_inversion.ipynb): Inverting multiple geophysical surveys.\n", "\n", diff --git a/docs/inversion/index.py b/docs/inversion/index.py index e7bb2dcd..88d7e2a9 100644 --- a/docs/inversion/index.py +++ b/docs/inversion/index.py @@ -5,23 +5,25 @@ # extension: .py # format_name: light # format_version: '1.5' -# jupytext_version: 1.16.1 +# jupytext_version: 1.16.2 # kernelspec: # display_name: Python 3 (ipykernel) # language: python # name: python3 # --- -# # Theory +# # Fundamentals # # This module documents the use of [SimPEG](simpeg.xyz) for geophysical data inversion with user-interface (UIjson) made available through the [Mira Geoscience-geoapps](https://geoapps.readthedocs.io/en/latest/) project. While the code itself has its own documentation, there is a need to demonstrate the effect of parameters controlling the inversion. This document is meant to be a reference guide with practical examples to help practitioners with their inversion work. # # -# - [Inversion Fundamentals](fundamentals.ipynb): An overview of the inversion framework. +# - [Background](fundamentals.ipynb): An overview of the inversion framework. # -# - [Data Misfit](data_misfit.ipynb): Assigning data uncertainties and target. +# - [Data Fit](data_misfit.ipynb): Assigning uncertainties and global target (data misfit). # -# - [Regularization](regularization.ipynb): Adding modeling constraints on the solution. +# - [Constraints](regularization.ipynb): Adding modeling constraints (regularization). +# +# - [Mesh Design](mesh_design.ipynb): Designing an inversion mesh. # # - [Joint/Coupling Strategies](joint_inversion.ipynb): Inverting multiple geophysical surveys. # diff --git a/docs/inversion/joint_inversion.ipynb b/docs/inversion/joint_inversion.ipynb index b235ca4e..36302f0a 100644 --- a/docs/inversion/joint_inversion.ipynb +++ b/docs/inversion/joint_inversion.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "7d2589f5", + "id": "0562d49d", "metadata": {}, "source": [ "# Joint Inversion\n", @@ -12,7 +12,7 @@ }, { "cell_type": "markdown", - "id": "f3e1dd2d", + "id": "0224d8ca", "metadata": {}, "source": [ "## Joint Surveys Inversion\n", @@ -47,7 +47,7 @@ }, { "cell_type": "markdown", - "id": "07876198", + "id": "e93a3ab5", "metadata": {}, "source": [ "## Joint Properties Inversion\n", @@ -77,7 +77,7 @@ }, { "cell_type": "markdown", - "id": "1cc609d2", + "id": "d3243d22", "metadata": {}, "source": [ "(cross-gradient)=\n", @@ -117,7 +117,7 @@ }, { "cell_type": "markdown", - "id": "0b01cd60", + "id": "afbcad39", "metadata": {}, "source": [ "## Mesh creation\n", diff --git a/docs/case_study/mesh_design.ipynb b/docs/inversion/mesh_design.ipynb similarity index 99% rename from docs/case_study/mesh_design.ipynb rename to docs/inversion/mesh_design.ipynb index e2dbf17c..c2c8d1ff 100644 --- a/docs/case_study/mesh_design.ipynb +++ b/docs/inversion/mesh_design.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "4d815240", + "id": "70a29e84", "metadata": {}, "source": [ "

    \n", @@ -83,7 +83,7 @@ }, { "cell_type": "markdown", - "id": "31c534a8", + "id": "586d48de", "metadata": {}, "source": [ "## Refinements\n", diff --git a/docs/case_study/mesh_design.py b/docs/inversion/mesh_design.py similarity index 100% rename from docs/case_study/mesh_design.py rename to docs/inversion/mesh_design.py diff --git a/docs/inversion/regularization.ipynb b/docs/inversion/regularization.ipynb index 3087d83d..d8307bbb 100644 --- a/docs/inversion/regularization.ipynb +++ b/docs/inversion/regularization.ipynb @@ -2,14 +2,15 @@ "cells": [ { "cell_type": "markdown", - "id": "773ee150", + "id": "981600a5", "metadata": {}, "source": [ - "# Regularization\n", + "# Constraints (Regularization)\n", "\n", "This section focuses on the regularization functions, or constraints, that can be used to inject \"geological knowledge\" into the inversion process. More specifically, this section covers the weighted least-squares regularization functions:\n", "\n", "- [Conventional L2-norm](l2-norm)\n", + "\n", "- [General Lp-norms](lp-norm)\n", "\n", "While often referred to as an \"unconstrained inversion\", one could argue that the conventional model norm regularizations do still incorporate some degree of geological information, at least in the form of physical property distribution. Exactly what kind of a priori information is available dictates the complexity of the constraints. For more advanced petrophysical and/or geometric constraints, see the [Joint Inversion](#joint_inversion.ipynb) section." @@ -17,7 +18,7 @@ }, { "cell_type": "markdown", - "id": "da138760", + "id": "de352fa6", "metadata": {}, "source": [ "(l2-norm)=\n", @@ -107,7 +108,7 @@ }, { "cell_type": "markdown", - "id": "e137a3b6", + "id": "35837389", "metadata": {}, "source": [ "(lp-norm)=\n", @@ -161,7 +162,7 @@ }, { "cell_type": "markdown", - "id": "28ea7696", + "id": "93a41b9f", "metadata": {}, "source": [ "### Smallness norm model\n", @@ -193,7 +194,7 @@ }, { "cell_type": "markdown", - "id": "e1d4c976", + "id": "39fbea4b", "metadata": {}, "source": [ "### Smoothness norm model\n", @@ -265,7 +266,7 @@ }, { "cell_type": "markdown", - "id": "71e7fd8b", + "id": "72d98d6d", "metadata": {}, "source": [ "## Mixed norms\n", @@ -277,7 +278,7 @@ }, { "cell_type": "markdown", - "id": "dbea14fa", + "id": "8c95ad34", "metadata": {}, "source": [ "

    \n" diff --git a/docs/inversion/regularization.py b/docs/inversion/regularization.py index e3a99a06..a1c575ea 100644 --- a/docs/inversion/regularization.py +++ b/docs/inversion/regularization.py @@ -5,18 +5,19 @@ # extension: .py # format_name: light # format_version: '1.5' -# jupytext_version: 1.16.1 +# jupytext_version: 1.16.2 # kernelspec: # display_name: Python 3 (ipykernel) # language: python # name: python3 # --- -# # Regularization +# # Constraints (Regularization) # # This section focuses on the regularization functions, or constraints, that can be used to inject "geological knowledge" into the inversion process. More specifically, this section covers the weighted least-squares regularization functions: # # - [Conventional L2-norm](l2-norm) +# # - [General Lp-norms](lp-norm) # # While often referred to as an "unconstrained inversion", one could argue that the conventional model norm regularizations do still incorporate some degree of geological information, at least in the form of physical property distribution. Exactly what kind of a priori information is available dictates the complexity of the constraints. For more advanced petrophysical and/or geometric constraints, see the [Joint Inversion](#joint_inversion.ipynb) section. From ef8da8f56a0b3a3ce0dc511729024be6985e8396 Mon Sep 17 00:00:00 2001 From: dominiquef Date: Tue, 23 Jul 2024 14:17:11 -0700 Subject: [PATCH 071/350] Update imports --- simpeg_drivers/components/factories/receiver_factory.py | 2 +- simpeg_drivers/components/factories/source_factory.py | 2 +- simpeg_drivers/components/models.py | 4 ++-- simpeg_drivers/electricals/driver.py | 4 ++-- simpeg_drivers/utils/surveys.py | 2 +- simpeg_drivers/utils/utils.py | 4 ++-- 6 files changed, 9 insertions(+), 9 deletions(-) diff --git a/simpeg_drivers/components/factories/receiver_factory.py b/simpeg_drivers/components/factories/receiver_factory.py index 0e6d308a..3d251d42 100644 --- a/simpeg_drivers/components/factories/receiver_factory.py +++ b/simpeg_drivers/components/factories/receiver_factory.py @@ -27,7 +27,7 @@ from geoapps_utils.driver.params import BaseParams import numpy as np -from geoapps_utils.transformations import rotate_xyz +from geoapps_utils.utils.transformations import rotate_xyz from simpeg_drivers.components.factories.simpeg_factory import SimPEGFactory diff --git a/simpeg_drivers/components/factories/source_factory.py b/simpeg_drivers/components/factories/source_factory.py index 562fc549..f10e7429 100644 --- a/simpeg_drivers/components/factories/source_factory.py +++ b/simpeg_drivers/components/factories/source_factory.py @@ -24,7 +24,7 @@ from geoapps_utils.driver.params import BaseParams import numpy as np -from geoapps_utils.transformations import rotate_xyz +from geoapps_utils.utils.transformations import rotate_xyz from geoh5py.objects import LargeLoopGroundTEMReceivers from simpeg_drivers.components.factories.simpeg_factory import SimPEGFactory diff --git a/simpeg_drivers/components/models.py b/simpeg_drivers/components/models.py index 9bc5a856..cfeea97c 100644 --- a/simpeg_drivers/components/models.py +++ b/simpeg_drivers/components/models.py @@ -22,8 +22,8 @@ import numpy as np from geoapps_utils.driver.driver import BaseDriver -from geoapps_utils.numerical import weighted_average -from geoapps_utils.transformations import rotate_xyz +from geoapps_utils.utils.numerical import weighted_average +from geoapps_utils.utils.transformations import rotate_xyz from geoh5py.data import NumericData from simpeg.utils.mat_utils import ( cartesian2amplitude_dip_azimuth, diff --git a/simpeg_drivers/electricals/driver.py b/simpeg_drivers/electricals/driver.py index 8e5be580..ef474e32 100644 --- a/simpeg_drivers/electricals/driver.py +++ b/simpeg_drivers/electricals/driver.py @@ -23,8 +23,8 @@ from pathlib import Path import numpy as np -from geoapps_utils.locations import get_locations -from geoapps_utils.numerical import weighted_average +from geoapps_utils.utils.locations import get_locations +from geoapps_utils.utils.numerical import weighted_average from geoh5py.data import Data from geoh5py.objects import DrapeModel from geoh5py.workspace import Workspace diff --git a/simpeg_drivers/utils/surveys.py b/simpeg_drivers/utils/surveys.py index fd0998e3..8a9b2146 100644 --- a/simpeg_drivers/utils/surveys.py +++ b/simpeg_drivers/utils/surveys.py @@ -19,7 +19,7 @@ import numpy as np from discretize import TreeMesh -from geoapps_utils.numerical import traveling_salesman +from geoapps_utils.utils.numerical import traveling_salesman from geoh5py import Workspace from geoh5py.objects import PotentialElectrode from scipy.spatial import cKDTree diff --git a/simpeg_drivers/utils/utils.py b/simpeg_drivers/utils/utils.py index 5fdd0800..1cd70f8e 100644 --- a/simpeg_drivers/utils/utils.py +++ b/simpeg_drivers/utils/utils.py @@ -25,8 +25,8 @@ import numpy as np from discretize import TensorMesh, TreeMesh from discretize.utils import mesh_utils -from geoapps_utils.conversions import string_to_numeric -from geoapps_utils.numerical import running_mean, traveling_salesman +from geoapps_utils.utils.conversions import string_to_numeric +from geoapps_utils.utils.numerical import running_mean, traveling_salesman from geoh5py import Workspace from geoh5py.groups import Group from geoh5py.objects import DrapeModel, Octree From ca2cee3e6aeca41e6a52d105f18435c32c6c1f19 Mon Sep 17 00:00:00 2001 From: dominiquef Date: Tue, 23 Jul 2024 14:18:17 -0700 Subject: [PATCH 072/350] Update locks --- .../py-3.10-linux-64-dev.conda.lock.yml | 44 +- environments/py-3.10-linux-64.conda.lock.yml | 24 +- .../py-3.10-win-64-dev.conda.lock.yml | 40 +- environments/py-3.10-win-64.conda.lock.yml | 20 +- py-3.10.conda-lock.yml | 1532 +++++++++-------- 5 files changed, 835 insertions(+), 825 deletions(-) diff --git a/environments/py-3.10-linux-64-dev.conda.lock.yml b/environments/py-3.10-linux-64-dev.conda.lock.yml index 29b33c21..3a925274 100644 --- a/environments/py-3.10-linux-64-dev.conda.lock.yml +++ b/environments/py-3.10-linux-64-dev.conda.lock.yml @@ -15,7 +15,7 @@ dependencies: - argon2-cffi-bindings=21.2.0=py310h2372a71_4 - arrow=1.3.0=pyhd8ed1ab_0 - asciitree=0.3.3=py_2 - - astroid=3.2.3=py310hff52083_0 + - astroid=3.2.4=py310hff52083_0 - asttokens=2.4.1=pyhd8ed1ab_0 - async-lru=2.0.4=pyhd8ed1ab_0 - attrs=23.2.0=pyh71513ae_0 @@ -25,8 +25,8 @@ dependencies: - brotli=1.1.0=hd590300_1 - brotli-bin=1.1.0=hd590300_1 - brotli-python=1.1.0=py310hc6cd4ac_1 - - bzip2=1.0.8=hd590300_5 - - c-ares=1.32.0=h4ab18f5_0 + - bzip2=1.0.8=h4bc722e_7 + - c-ares=1.32.2=h4bc722e_0 - ca-certificates=2024.7.4=hbcca054_0 - cached-property=1.5.2=hd8ed1ab_1 - cached_property=1.5.2=pyha770c72_1 @@ -51,7 +51,7 @@ dependencies: - distributed=2024.6.2=pyhd8ed1ab_0 - docutils=0.18.1=py310hff52083_1 - entrypoints=0.4=pyhd8ed1ab_0 - - exceptiongroup=1.2.0=pyhd8ed1ab_2 + - exceptiongroup=1.2.2=pyhd8ed1ab_0 - executing=2.0.1=pyhd8ed1ab_0 - fasteners=0.17.3=pyhd8ed1ab_0 - fonttools=4.53.1=py310h5b4e0ec_0 @@ -68,7 +68,7 @@ dependencies: - httpcore=1.0.5=pyhd8ed1ab_0 - httpx=0.27.0=pyhd8ed1ab_0 - hyperframe=6.0.1=pyhd8ed1ab_0 - - icu=73.2=h59595ed_0 + - icu=75.1=he02047a_0 - idna=3.7=pyhd8ed1ab_0 - imagesize=1.4.1=pyhd8ed1ab_0 - importlib-metadata=8.0.0=pyha770c72_0 @@ -95,11 +95,11 @@ dependencies: - jupyter_client=8.6.2=pyhd8ed1ab_0 - jupyter_core=5.7.2=py310hff52083_0 - jupyter_events=0.10.0=pyhd8ed1ab_0 - - jupyter_server=2.14.1=pyhd8ed1ab_1 + - jupyter_server=2.14.2=pyhd8ed1ab_0 - jupyter_server_terminals=0.5.3=pyhd8ed1ab_0 - - jupyterlab=4.2.3=pyhd8ed1ab_0 + - jupyterlab=4.2.4=pyhd8ed1ab_0 - jupyterlab_pygments=0.3.0=pyhd8ed1ab_1 - - jupyterlab_server=2.27.2=pyhd8ed1ab_0 + - jupyterlab_server=2.27.3=pyhd8ed1ab_0 - jupyterlab_widgets=1.1.8=pyhd8ed1ab_0 - jupytext=1.16.3=pyhd8ed1ab_0 - keyutils=1.6.1=h166bdaf_0 @@ -124,7 +124,7 @@ dependencies: - libgcc-ng=14.1.0=h77fa898_0 - libgfortran-ng=14.1.0=h69a702a_0 - libgfortran5=14.1.0=hc5f4f2c_0 - - libhwloc=2.11.0=default_h5622ce7_1000 + - libhwloc=2.11.1=default_hecaa2ac_1000 - libiconv=1.17=hd590300_2 - libjpeg-turbo=3.0.0=hd590300_1 - liblapack=3.9.0=20_linux64_mkl @@ -140,7 +140,7 @@ dependencies: - libwebp-base=1.4.0=hd590300_0 - libxcb=1.16=hd590300_0 - libxcrypt=4.4.36=hd590300_1 - - libxml2=2.12.7=h4c95cb1_2 + - libxml2=2.12.7=he7c6b58_4 - libzlib=1.3.1=h4ab18f5_1 - linkify-it-py=2.0.3=pyhd8ed1ab_0 - llvm-openmp=18.1.8=hf5423f3_0 @@ -170,7 +170,7 @@ dependencies: - numcodecs=0.12.1=py310h76e45a6_1 - numpy=1.26.4=py310hb13e2d6_0 - openjpeg=2.5.2=h488ebb8_0 - - openssl=3.3.1=h4ab18f5_1 + - openssl=3.3.1=h4bc722e_2 - overrides=7.7.0=pyhd8ed1ab_0 - packaging=24.1=pyhd8ed1ab_0 - pandas=2.2.2=py310hf9f9076_1 @@ -190,7 +190,7 @@ dependencies: - psutil=6.0.0=py310hc51659f_0 - pthread-stubs=0.4=h36c2ea0_1001 - ptyprocess=0.7.0=pyhd3deb0d_0 - - pure_eval=0.2.2=pyhd8ed1ab_0 + - pure_eval=0.2.3=pyhd8ed1ab_0 - pybtex=0.24.0=pyhd8ed1ab_2 - pybtex-docutils=1.0.3=py310hff52083_1 - pycparser=2.22=pyhd8ed1ab_0 @@ -199,12 +199,12 @@ dependencies: - pydata-sphinx-theme=0.15.4=pyhd8ed1ab_0 - pydiso=0.0.5=py310h4fb8009_1 - pygments=2.18.0=pyhd8ed1ab_0 - - pylint=3.2.5=pyhd8ed1ab_0 + - pylint=3.2.6=pyhd8ed1ab_0 - pymatsolver=0.2.0=ha770c72_3 - pymatsolver-base=0.2.0=pyh44b312d_3 - pyparsing=3.1.2=pyhd8ed1ab_0 - pysocks=1.7.1=pyha2e5f31_6 - - pytest=8.2.2=pyhd8ed1ab_0 + - pytest=8.3.1=pyhd8ed1ab_0 - pytest-cov=5.0.0=pyhd8ed1ab_0 - python=3.10.14=hd12c33a_0_cpython - python-dateutil=2.9.0=pyhd8ed1ab_0 @@ -225,7 +225,7 @@ dependencies: - scikit-learn=1.4.2=py310h981052a_1 - scipy=1.14.0=py310h93e2701_1 - send2trash=1.8.3=pyh0d859eb_0 - - setuptools=70.2.0=pyhd8ed1ab_0 + - setuptools=71.0.4=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 - sniffio=1.3.1=pyhd8ed1ab_0 - snowballstemmer=2.2.0=pyhd8ed1ab_0 @@ -244,14 +244,14 @@ dependencies: - sphinxcontrib-applehelp=1.0.8=pyhd8ed1ab_0 - sphinxcontrib-bibtex=2.5.0=pyhd8ed1ab_0 - sphinxcontrib-devhelp=1.0.6=pyhd8ed1ab_0 - - sphinxcontrib-htmlhelp=2.0.5=pyhd8ed1ab_0 + - sphinxcontrib-htmlhelp=2.0.6=pyhd8ed1ab_0 - sphinxcontrib-jsmath=1.0.1=pyhd8ed1ab_0 - - sphinxcontrib-qthelp=1.0.7=pyhd8ed1ab_0 + - sphinxcontrib-qthelp=1.0.8=pyhd8ed1ab_0 - sphinxcontrib-serializinghtml=1.1.10=pyhd8ed1ab_0 - sqlalchemy=2.0.31=py310hc51659f_0 - stack_data=0.6.2=pyhd8ed1ab_0 - tabulate=0.9.0=pyhd8ed1ab_1 - - tbb=2021.12.0=h434a139_2 + - tbb=2021.12.0=h434a139_3 - tblib=3.0.0=pyhd8ed1ab_0 - terminado=0.18.1=pyh0d859eb_0 - threadpoolctl=3.5.0=pyhc1e730c_0 @@ -287,17 +287,17 @@ dependencies: - zeromq=4.3.5=h75354e8_4 - zict=3.0.0=pyhd8ed1ab_0 - zipp=3.19.2=pyhd8ed1ab_0 - - zstandard=0.22.0=py310hab88d88_1 + - zstandard=0.23.0=py310h64cae3c_0 - zstd=1.5.6=ha6fb4c9_0 - pip: - empymod === 2.3.1 - - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@6dd821c01243dc4d52df5e62817c5d6f94c57916 + - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@e0cc6f5178fec820647f088f348a2f8db81c58a2 - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@21ce81d279c206ce0a279377168ce50e0a35d3d2 - llvmlite === 0.43.0 - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg@b643f1cb9a9fee76b5e4bd7ed4f1b7a65d1646ec - numba === 0.60.0 - - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@f9d919b21d384b454082e4eb8bde8f67d5242e01 - - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps@13c05a3d90fcf2bc37f4d752affbda277c61b8b0 + - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@7248a2568f3a3fd9b69b14da0b7257c7eeec2ac8 + - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps@24e15f3ecd3b86851087a395966cbf828ce6570f - scooby === 0.10.0 variables: diff --git a/environments/py-3.10-linux-64.conda.lock.yml b/environments/py-3.10-linux-64.conda.lock.yml index 8f519eff..3fdfa6c7 100644 --- a/environments/py-3.10-linux-64.conda.lock.yml +++ b/environments/py-3.10-linux-64.conda.lock.yml @@ -12,8 +12,8 @@ dependencies: - brotli=1.1.0=hd590300_1 - brotli-bin=1.1.0=hd590300_1 - brotli-python=1.1.0=py310hc6cd4ac_1 - - bzip2=1.0.8=hd590300_5 - - c-ares=1.32.0=h4ab18f5_0 + - bzip2=1.0.8=h4bc722e_7 + - c-ares=1.32.2=h4bc722e_0 - ca-certificates=2024.7.4=hbcca054_0 - cached-property=1.5.2=hd8ed1ab_1 - cached_property=1.5.2=pyha770c72_1 @@ -38,7 +38,7 @@ dependencies: - hdf5=1.14.3=nompi_hdf9ad27_105 - hpack=4.0.0=pyh9f0ad1d_0 - hyperframe=6.0.1=pyhd8ed1ab_0 - - icu=73.2=h59595ed_0 + - icu=75.1=he02047a_0 - importlib-metadata=8.0.0=pyha770c72_0 - importlib_metadata=8.0.0=hd8ed1ab_0 - jinja2=3.1.4=pyhd8ed1ab_0 @@ -64,7 +64,7 @@ dependencies: - libgcc-ng=14.1.0=h77fa898_0 - libgfortran-ng=14.1.0=h69a702a_0 - libgfortran5=14.1.0=hc5f4f2c_0 - - libhwloc=2.11.0=default_h5622ce7_1000 + - libhwloc=2.11.1=default_hecaa2ac_1000 - libiconv=1.17=hd590300_2 - libjpeg-turbo=3.0.0=hd590300_1 - liblapack=3.9.0=20_linux64_mkl @@ -79,7 +79,7 @@ dependencies: - libwebp-base=1.4.0=hd590300_0 - libxcb=1.16=hd590300_0 - libxcrypt=4.4.36=hd590300_1 - - libxml2=2.12.7=h4c95cb1_2 + - libxml2=2.12.7=he7c6b58_4 - libzlib=1.3.1=h4ab18f5_1 - llvm-openmp=18.1.8=hf5423f3_0 - locket=1.0.0=pyhd8ed1ab_0 @@ -92,7 +92,7 @@ dependencies: - numcodecs=0.12.1=py310h76e45a6_1 - numpy=1.26.4=py310hb13e2d6_0 - openjpeg=2.5.2=h488ebb8_0 - - openssl=3.3.1=h4ab18f5_1 + - openssl=3.3.1=h4bc722e_2 - packaging=24.1=pyhd8ed1ab_0 - pandas=2.2.2=py310hf9f9076_1 - partd=1.4.2=pyhd8ed1ab_0 @@ -117,10 +117,10 @@ dependencies: - readline=8.2=h8228510_1 - scikit-learn=1.4.2=py310h981052a_1 - scipy=1.14.0=py310h93e2701_1 - - setuptools=70.2.0=pyhd8ed1ab_0 + - setuptools=71.0.4=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 - sortedcontainers=2.4.0=pyhd8ed1ab_0 - - tbb=2021.12.0=h434a139_2 + - tbb=2021.12.0=h434a139_3 - tblib=3.0.0=pyhd8ed1ab_0 - threadpoolctl=3.5.0=pyhc1e730c_0 - tk=8.6.13=noxft_h4845f30_101 @@ -140,17 +140,17 @@ dependencies: - zarr=2.14.2=pyhd8ed1ab_0 - zict=3.0.0=pyhd8ed1ab_0 - zipp=3.19.2=pyhd8ed1ab_0 - - zstandard=0.22.0=py310hab88d88_1 + - zstandard=0.23.0=py310h64cae3c_0 - zstd=1.5.6=ha6fb4c9_0 - pip: - empymod === 2.3.1 - - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@6dd821c01243dc4d52df5e62817c5d6f94c57916 + - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@e0cc6f5178fec820647f088f348a2f8db81c58a2 - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@21ce81d279c206ce0a279377168ce50e0a35d3d2 - llvmlite === 0.43.0 - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg@b643f1cb9a9fee76b5e4bd7ed4f1b7a65d1646ec - numba === 0.60.0 - - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@f9d919b21d384b454082e4eb8bde8f67d5242e01 - - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps@13c05a3d90fcf2bc37f4d752affbda277c61b8b0 + - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@7248a2568f3a3fd9b69b14da0b7257c7eeec2ac8 + - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps@24e15f3ecd3b86851087a395966cbf828ce6570f - scooby === 0.10.0 variables: diff --git a/environments/py-3.10-win-64-dev.conda.lock.yml b/environments/py-3.10-win-64-dev.conda.lock.yml index 5d070e5e..92c765c0 100644 --- a/environments/py-3.10-win-64-dev.conda.lock.yml +++ b/environments/py-3.10-win-64-dev.conda.lock.yml @@ -13,7 +13,7 @@ dependencies: - argon2-cffi-bindings=21.2.0=py310h8d17308_4 - arrow=1.3.0=pyhd8ed1ab_0 - asciitree=0.3.3=py_2 - - astroid=3.2.3=py310h5588dad_0 + - astroid=3.2.4=py310h5588dad_0 - asttokens=2.4.1=pyhd8ed1ab_0 - async-lru=2.0.4=pyhd8ed1ab_0 - attrs=23.2.0=pyh71513ae_0 @@ -23,7 +23,7 @@ dependencies: - brotli=1.1.0=hcfcfb64_1 - brotli-bin=1.1.0=hcfcfb64_1 - brotli-python=1.1.0=py310h00ffb61_1 - - bzip2=1.0.8=hcfcfb64_5 + - bzip2=1.0.8=h2466b09_7 - ca-certificates=2024.7.4=h56e8100_0 - cached-property=1.5.2=hd8ed1ab_1 - cached_property=1.5.2=pyha770c72_1 @@ -48,7 +48,7 @@ dependencies: - distributed=2024.6.2=pyhd8ed1ab_0 - docutils=0.18.1=py310h5588dad_1 - entrypoints=0.4=pyhd8ed1ab_0 - - exceptiongroup=1.2.0=pyhd8ed1ab_2 + - exceptiongroup=1.2.2=pyhd8ed1ab_0 - executing=2.0.1=pyhd8ed1ab_0 - fasteners=0.17.3=pyhd8ed1ab_0 - fonttools=4.53.1=py310ha8f682b_0 @@ -92,11 +92,11 @@ dependencies: - jupyter_client=8.6.2=pyhd8ed1ab_0 - jupyter_core=5.7.2=py310h5588dad_0 - jupyter_events=0.10.0=pyhd8ed1ab_0 - - jupyter_server=2.14.1=pyhd8ed1ab_1 + - jupyter_server=2.14.2=pyhd8ed1ab_0 - jupyter_server_terminals=0.5.3=pyhd8ed1ab_0 - - jupyterlab=4.2.3=pyhd8ed1ab_0 + - jupyterlab=4.2.4=pyhd8ed1ab_0 - jupyterlab_pygments=0.3.0=pyhd8ed1ab_1 - - jupyterlab_server=2.27.2=pyhd8ed1ab_0 + - jupyterlab_server=2.27.3=pyhd8ed1ab_0 - jupyterlab_widgets=1.1.8=pyhd8ed1ab_0 - jupytext=1.16.3=pyhd8ed1ab_0 - kiwisolver=1.4.5=py310h232114e_1 @@ -114,7 +114,7 @@ dependencies: - libdeflate=1.20=hcfcfb64_0 - libdlf=0.2.0=pyhd8ed1ab_0 - libffi=3.4.2=h8ffe710_5 - - libhwloc=2.11.0=default_h8125262_1000 + - libhwloc=2.11.1=default_h8125262_1000 - libiconv=1.17=hcfcfb64_2 - libjpeg-turbo=3.0.0=hcfcfb64_1 - liblapack=3.9.0=20_win64_mkl @@ -125,7 +125,7 @@ dependencies: - libtiff=4.6.0=hddb2be6_3 - libwebp-base=1.4.0=hcfcfb64_0 - libxcb=1.16=hcd874cb_0 - - libxml2=2.12.7=h0f24e4e_2 + - libxml2=2.12.7=h0f24e4e_4 - libzlib=1.3.1=h2466b09_1 - linkify-it-py=2.0.3=pyhd8ed1ab_0 - locket=1.0.0=pyhd8ed1ab_0 @@ -159,7 +159,7 @@ dependencies: - numcodecs=0.12.1=py310h9e98ed7_1 - numpy=1.26.4=py310hf667824_0 - openjpeg=2.5.2=h3d672ee_0 - - openssl=3.3.1=h2466b09_1 + - openssl=3.3.1=h2466b09_2 - overrides=7.7.0=pyhd8ed1ab_0 - packaging=24.1=pyhd8ed1ab_0 - pandas=2.2.2=py310hb4db72f_1 @@ -178,7 +178,7 @@ dependencies: - psutil=6.0.0=py310ha8f682b_0 - pthread-stubs=0.4=hcd874cb_1001 - pthreads-win32=2.9.1=hfa6e2cd_3 - - pure_eval=0.2.2=pyhd8ed1ab_0 + - pure_eval=0.2.3=pyhd8ed1ab_0 - pybtex=0.24.0=pyhd8ed1ab_2 - pybtex-docutils=1.0.3=py310h5588dad_1 - pycparser=2.22=pyhd8ed1ab_0 @@ -187,12 +187,12 @@ dependencies: - pydata-sphinx-theme=0.15.4=pyhd8ed1ab_0 - pydiso=0.0.5=py310hafb2880_1 - pygments=2.18.0=pyhd8ed1ab_0 - - pylint=3.2.5=pyhd8ed1ab_0 + - pylint=3.2.6=pyhd8ed1ab_0 - pymatsolver=0.2.0=ha770c72_3 - pymatsolver-base=0.2.0=pyh44b312d_3 - pyparsing=3.1.2=pyhd8ed1ab_0 - pysocks=1.7.1=pyh0701188_6 - - pytest=8.2.2=pyhd8ed1ab_0 + - pytest=8.3.1=pyhd8ed1ab_0 - pytest-cov=5.0.0=pyhd8ed1ab_0 - python=3.10.14=h4de0772_0_cpython - python-dateutil=2.9.0=pyhd8ed1ab_0 @@ -214,7 +214,7 @@ dependencies: - scikit-learn=1.4.2=py310hf2a6c47_1 - scipy=1.14.0=py310h46043a1_1 - send2trash=1.8.3=pyh5737063_0 - - setuptools=70.2.0=pyhd8ed1ab_0 + - setuptools=71.0.4=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 - sniffio=1.3.1=pyhd8ed1ab_0 - snowballstemmer=2.2.0=pyhd8ed1ab_0 @@ -233,14 +233,14 @@ dependencies: - sphinxcontrib-applehelp=1.0.8=pyhd8ed1ab_0 - sphinxcontrib-bibtex=2.5.0=pyhd8ed1ab_0 - sphinxcontrib-devhelp=1.0.6=pyhd8ed1ab_0 - - sphinxcontrib-htmlhelp=2.0.5=pyhd8ed1ab_0 + - sphinxcontrib-htmlhelp=2.0.6=pyhd8ed1ab_0 - sphinxcontrib-jsmath=1.0.1=pyhd8ed1ab_0 - - sphinxcontrib-qthelp=1.0.7=pyhd8ed1ab_0 + - sphinxcontrib-qthelp=1.0.8=pyhd8ed1ab_0 - sphinxcontrib-serializinghtml=1.1.10=pyhd8ed1ab_0 - sqlalchemy=2.0.31=py310ha8f682b_0 - stack_data=0.6.2=pyhd8ed1ab_0 - tabulate=0.9.0=pyhd8ed1ab_1 - - tbb=2021.12.0=hc790b64_2 + - tbb=2021.12.0=hc790b64_3 - tblib=3.0.0=pyhd8ed1ab_0 - terminado=0.18.1=pyh5737063_0 - threadpoolctl=3.5.0=pyhc1e730c_0 @@ -282,17 +282,17 @@ dependencies: - zeromq=4.3.5=he1f189c_4 - zict=3.0.0=pyhd8ed1ab_0 - zipp=3.19.2=pyhd8ed1ab_0 - - zstandard=0.22.0=py310he5e10e1_1 + - zstandard=0.23.0=py310he5e10e1_0 - zstd=1.5.6=h0ea2cb4_0 - pip: - empymod === 2.3.1 - - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@6dd821c01243dc4d52df5e62817c5d6f94c57916 + - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@e0cc6f5178fec820647f088f348a2f8db81c58a2 - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@21ce81d279c206ce0a279377168ce50e0a35d3d2 - llvmlite === 0.43.0 - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg@b643f1cb9a9fee76b5e4bd7ed4f1b7a65d1646ec - numba === 0.60.0 - - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@f9d919b21d384b454082e4eb8bde8f67d5242e01 - - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps@13c05a3d90fcf2bc37f4d752affbda277c61b8b0 + - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@7248a2568f3a3fd9b69b14da0b7257c7eeec2ac8 + - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps@24e15f3ecd3b86851087a395966cbf828ce6570f - scooby === 0.10.0 variables: diff --git a/environments/py-3.10-win-64.conda.lock.yml b/environments/py-3.10-win-64.conda.lock.yml index ceb206fc..16f24d64 100644 --- a/environments/py-3.10-win-64.conda.lock.yml +++ b/environments/py-3.10-win-64.conda.lock.yml @@ -10,7 +10,7 @@ dependencies: - brotli=1.1.0=hcfcfb64_1 - brotli-bin=1.1.0=hcfcfb64_1 - brotli-python=1.1.0=py310h00ffb61_1 - - bzip2=1.0.8=hcfcfb64_5 + - bzip2=1.0.8=h2466b09_7 - ca-certificates=2024.7.4=h56e8100_0 - cached-property=1.5.2=hd8ed1ab_1 - cached_property=1.5.2=pyha770c72_1 @@ -54,7 +54,7 @@ dependencies: - libdeflate=1.20=hcfcfb64_0 - libdlf=0.2.0=pyhd8ed1ab_0 - libffi=3.4.2=h8ffe710_5 - - libhwloc=2.11.0=default_h8125262_1000 + - libhwloc=2.11.1=default_h8125262_1000 - libiconv=1.17=hcfcfb64_2 - libjpeg-turbo=3.0.0=hcfcfb64_1 - liblapack=3.9.0=20_win64_mkl @@ -64,7 +64,7 @@ dependencies: - libtiff=4.6.0=hddb2be6_3 - libwebp-base=1.4.0=hcfcfb64_0 - libxcb=1.16=hcd874cb_0 - - libxml2=2.12.7=h0f24e4e_2 + - libxml2=2.12.7=h0f24e4e_4 - libzlib=1.3.1=h2466b09_1 - locket=1.0.0=pyhd8ed1ab_0 - m2w64-gcc-libgfortran=5.3.0=6 @@ -81,7 +81,7 @@ dependencies: - numcodecs=0.12.1=py310h9e98ed7_1 - numpy=1.26.4=py310hf667824_0 - openjpeg=2.5.2=h3d672ee_0 - - openssl=3.3.1=h2466b09_1 + - openssl=3.3.1=h2466b09_2 - packaging=24.1=pyhd8ed1ab_0 - pandas=2.2.2=py310hb4db72f_1 - partd=1.4.2=pyhd8ed1ab_0 @@ -106,10 +106,10 @@ dependencies: - pyyaml=6.0.1=py310h8d17308_1 - scikit-learn=1.4.2=py310hf2a6c47_1 - scipy=1.14.0=py310h46043a1_1 - - setuptools=70.2.0=pyhd8ed1ab_0 + - setuptools=71.0.4=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 - sortedcontainers=2.4.0=pyhd8ed1ab_0 - - tbb=2021.12.0=hc790b64_2 + - tbb=2021.12.0=hc790b64_3 - tblib=3.0.0=pyhd8ed1ab_0 - threadpoolctl=3.5.0=pyhc1e730c_0 - tk=8.6.13=h5226925_1 @@ -134,17 +134,17 @@ dependencies: - zarr=2.14.2=pyhd8ed1ab_0 - zict=3.0.0=pyhd8ed1ab_0 - zipp=3.19.2=pyhd8ed1ab_0 - - zstandard=0.22.0=py310he5e10e1_1 + - zstandard=0.23.0=py310he5e10e1_0 - zstd=1.5.6=h0ea2cb4_0 - pip: - empymod === 2.3.1 - - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@6dd821c01243dc4d52df5e62817c5d6f94c57916 + - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils@e0cc6f5178fec820647f088f348a2f8db81c58a2 - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@21ce81d279c206ce0a279377168ce50e0a35d3d2 - llvmlite === 0.43.0 - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg@b643f1cb9a9fee76b5e4bd7ed4f1b7a65d1646ec - numba === 0.60.0 - - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@f9d919b21d384b454082e4eb8bde8f67d5242e01 - - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps@13c05a3d90fcf2bc37f4d752affbda277c61b8b0 + - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app@7248a2568f3a3fd9b69b14da0b7257c7eeec2ac8 + - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps@24e15f3ecd3b86851087a395966cbf828ce6570f - scooby === 0.10.0 variables: diff --git a/py-3.10.conda-lock.yml b/py-3.10.conda-lock.yml index 767cd432..bdbeedb8 100644 --- a/py-3.10.conda-lock.yml +++ b/py-3.10.conda-lock.yml @@ -132,11 +132,11 @@ package: manager: conda platform: linux-64 dependencies: + exceptiongroup: '>=1.0.2' + idna: '>=2.8' python: '>=3.8' sniffio: '>=1.1' typing_extensions: '>=4.1' - idna: '>=2.8' - exceptiongroup: '>=1.0.2' url: https://conda.anaconda.org/conda-forge/noarch/anyio-4.4.0-pyhd8ed1ab_0.conda hash: md5: 1fa97c6e8db1f82c64ff17a5efc4ae8e @@ -164,9 +164,9 @@ package: manager: conda platform: linux-64 dependencies: - typing-extensions: '' argon2-cffi-bindings: '' python: '>=3.7' + typing-extensions: '' url: https://conda.anaconda.org/conda-forge/noarch/argon2-cffi-23.1.0-pyhd8ed1ab_0.conda hash: md5: 3afef1f55a1366b4d3b6a0d92e2235e4 @@ -192,10 +192,10 @@ package: manager: conda platform: linux-64 dependencies: + cffi: '>=1.0.1' libgcc-ng: '>=12' - python_abi: 3.10.* python: '>=3.10,<3.11.0a0' - cffi: '>=1.0.1' + python_abi: 3.10.* url: https://conda.anaconda.org/conda-forge/linux-64/argon2-cffi-bindings-21.2.0-py310h2372a71_4.conda hash: md5: 68ee85860502d53c8cbfa0e4cef0f6cb @@ -207,12 +207,12 @@ package: manager: conda platform: win-64 dependencies: - vc: '>=14.2,<15' + cffi: '>=1.0.1' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' vc14_runtime: '>=14.29.30139' - python_abi: 3.10.* - python: '>=3.10,<3.11.0a0' - cffi: '>=1.0.1' url: https://conda.anaconda.org/conda-forge/win-64/argon2-cffi-bindings-21.2.0-py310h8d17308_4.conda hash: md5: ece29c9dd68f962fd416a3ddcce24080 @@ -272,31 +272,31 @@ package: category: main optional: false - name: astroid - version: 3.2.3 + version: 3.2.4 manager: conda platform: linux-64 dependencies: - python_abi: 3.10.* python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* typing-extensions: '>=4.0.0' - url: https://conda.anaconda.org/conda-forge/linux-64/astroid-3.2.3-py310hff52083_0.conda + url: https://conda.anaconda.org/conda-forge/linux-64/astroid-3.2.4-py310hff52083_0.conda hash: - md5: be0dfe7c8d18122759891a2960e43cef - sha256: 8d6e43dbde819f0a9bf87c85eb8ede3514c32ac2055ed7aed61dd98a6f611249 + md5: 4acb210fe1d9e5833f8402cfa9064b38 + sha256: ff79f35ee5e84b13e8a0f1d64c957d9041c0a3cb0de8acef9a354014caa7fc1d category: dev optional: true - name: astroid - version: 3.2.3 + version: 3.2.4 manager: conda platform: win-64 dependencies: - python_abi: 3.10.* python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* typing-extensions: '>=4.0.0' - url: https://conda.anaconda.org/conda-forge/win-64/astroid-3.2.3-py310h5588dad_0.conda + url: https://conda.anaconda.org/conda-forge/win-64/astroid-3.2.4-py310h5588dad_0.conda hash: - md5: 17e5b6814b1f3fa4e6ca7b9c39033f7f - sha256: d1efbfdad89b1d17e440ad36682650959a0dad1268271b48fff23d102c4a135e + md5: 6f02e90951acf0a26f9d5a32d93c5e47 + sha256: 0dad4fd31a54440e6b8aab58eec736359ce08358326ce9924a63a2c32d2c5d89 category: dev optional: true - name: asttokens @@ -380,9 +380,9 @@ package: manager: conda platform: linux-64 dependencies: - setuptools: '' - pytz: '' python: '>=3.7' + pytz: '' + setuptools: '' url: https://conda.anaconda.org/conda-forge/noarch/babel-2.14.0-pyhd8ed1ab_0.conda hash: md5: 9669586875baeced8fc30c0826c3270e @@ -434,11 +434,11 @@ package: manager: conda platform: linux-64 dependencies: - setuptools: '' packaging: '' - webencodings: '' python: '>=3.6' + setuptools: '' six: '>=1.9.0' + webencodings: '' url: https://conda.anaconda.org/conda-forge/noarch/bleach-6.1.0-pyhd8ed1ab_0.conda hash: md5: 0ed9d7c0e9afa7c025807a9a8136ea3e @@ -466,10 +466,10 @@ package: manager: conda platform: linux-64 dependencies: - 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url: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hd590300_5.conda + url: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h4bc722e_7.conda hash: - md5: 69b8b6202a07720f448be700e300ccf4 - sha256: 242c0c324507ee172c0e0dd2045814e746bb303d1eb78870d182ceb0abc726a8 + md5: 62ee74e96c5ebb0af99386de58cf9553 + sha256: 5ced96500d945fb286c9c838e54fa759aa04a7129c59800f0846b4335cee770d category: main optional: false - name: bzip2 @@ -571,25 +572,26 @@ package: manager: conda platform: win-64 dependencies: - vc: '>=14.2,<15' ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' vc14_runtime: '>=14.29.30139' - url: https://conda.anaconda.org/conda-forge/win-64/bzip2-1.0.8-hcfcfb64_5.conda + url: https://conda.anaconda.org/conda-forge/win-64/bzip2-1.0.8-h2466b09_7.conda hash: - md5: 26eb8ca6ea332b675e11704cce84a3be - sha256: ae5f47a5c86fd6db822931255dcf017eb12f60c77f07dc782ccb477f7808aab2 + md5: 276e7ffe9ffe39688abc665ef0f45596 + sha256: 35a5dad92e88fdd7fc405e864ec239486f4f31eec229e31686e61a140a8e573b category: main optional: false - name: c-ares - version: 1.32.0 + version: 1.32.2 manager: conda platform: linux-64 dependencies: + __glibc: '>=2.17,<3.0.a0' libgcc-ng: '>=12' - url: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.32.0-h4ab18f5_0.conda + url: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.32.2-h4bc722e_0.conda hash: - md5: 7f3a7d68b591fcace97c29c6af6d9d64 - sha256: 5e24ee6edcea875dfaa7fb26d638d96f47f60c0b6a41dec9271ac0525a49042f + md5: 8024af1ee7078e37fa3101c0a0296af2 + sha256: d1b01f9e3d10b97fd09e19fda0caf9bfad3c884a6b19fb3f654a9aed02a70b58 category: main optional: false - name: ca-certificates @@ -691,11 +693,11 @@ package: manager: conda platform: linux-64 dependencies: - pycparser: '' + libffi: '>=3.4,<4.0a0' libgcc-ng: '>=12' - python_abi: 3.10.* + pycparser: '' python: '>=3.10,<3.11.0a0' - libffi: '>=3.4,<4.0a0' + python_abi: 3.10.* url: https://conda.anaconda.org/conda-forge/linux-64/cffi-1.16.0-py310h2fee648_0.conda hash: md5: 45846a970e71ac98fd327da5d40a0a2c @@ -708,11 +710,11 @@ package: platform: win-64 dependencies: pycparser: '' - 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tomli: '' + __glibc: '>=2.17,<3.0.a0' libgcc-ng: '>=12' - python_abi: 3.10.* python: '>=3.10,<3.11.0a0' - __glibc: '>=2.17,<3.0.a0' + python_abi: 3.10.* + tomli: '' url: https://conda.anaconda.org/conda-forge/linux-64/coverage-7.6.0-py310h5b4e0ec_0.conda hash: md5: a13d72c877b47870042897a0e667cd3a @@ -898,12 +900,12 @@ package: manager: conda platform: win-64 dependencies: + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* tomli: '' - vc: '>=14.2,<15' ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' vc14_runtime: '>=14.29.30139' - python_abi: 3.10.* - python: '>=3.10,<3.11.0a0' url: https://conda.anaconda.org/conda-forge/win-64/coverage-7.6.0-py310ha8f682b_0.conda hash: md5: 03ace5584d20b0c6c547f5f4c0a08a51 @@ -940,8 +942,8 @@ package: platform: linux-64 dependencies: libgcc-ng: '>=12' - python_abi: 3.10.* python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* toolz: '>=0.10.0' url: https://conda.anaconda.org/conda-forge/linux-64/cytoolz-0.12.3-py310h2372a71_0.conda hash: @@ -954,12 +956,12 @@ package: manager: conda platform: win-64 dependencies: - vc: '>=14.2,<15' - ucrt: '>=10.0.20348.0' - vc14_runtime: '>=14.29.30139' - python_abi: 3.10.* python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* toolz: '>=0.10.0' + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vc14_runtime: '>=14.29.30139' url: https://conda.anaconda.org/conda-forge/win-64/cytoolz-0.12.3-py310h8d17308_0.conda hash: md5: 6051dfb72d955bc0355c2a38a5d85493 @@ -971,15 +973,15 @@ package: manager: conda platform: linux-64 dependencies: - python: '>=3.9' + click: '>=8.1' + cloudpickle: '>=1.5.0' + fsspec: '>=2021.09.0' + importlib_metadata: '>=4.13.0' packaging: '>=20.0' + partd: '>=1.2.0' + python: '>=3.9' pyyaml: '>=5.3.1' - cloudpickle: '>=1.5.0' toolz: '>=0.10.0' - click: '>=8.1' - partd: '>=1.2.0' - importlib_metadata: '>=4.13.0' - fsspec: '>=2021.09.0' url: https://conda.anaconda.org/conda-forge/noarch/dask-core-2024.6.2-pyhd8ed1ab_0.conda hash: md5: 048ca0ec2cd1f3995d2d36dec0efd99a @@ -1037,8 +1039,8 @@ package: dependencies: libgcc-ng: '>=12' libstdcxx-ng: '>=12' - python_abi: 3.10.* python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* url: https://conda.anaconda.org/conda-forge/linux-64/debugpy-1.8.2-py310h76e45a6_0.conda hash: md5: 285568244bd06fbe2cccf2ee1617f582 @@ -1050,11 +1052,11 @@ package: manager: conda platform: win-64 dependencies: - vc: '>=14.2,<15' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' vc14_runtime: '>=14.29.30139' - python_abi: 3.10.* - python: '>=3.10,<3.11.0a0' url: https://conda.anaconda.org/conda-forge/win-64/debugpy-1.8.2-py310h9e98ed7_0.conda hash: md5: 6edfa966360b5df86d7277b0a4829381 @@ -1140,9 +1142,9 @@ package: dependencies: libgcc-ng: '>=12' libstdcxx-ng: '>=12' - python_abi: 3.10.* - python: '>=3.10,<3.11.0a0' numpy: '>=1.22.4,<2.0a0' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* scipy: '>=1.8' url: https://conda.anaconda.org/conda-forge/linux-64/discretize-0.10.0-py310hcb52e73_1.conda hash: @@ -1155,13 +1157,13 @@ package: manager: conda platform: win-64 dependencies: - vc: '>=14.2,<15' - ucrt: '>=10.0.20348.0' - vc14_runtime: '>=14.29.30139' - python_abi: 3.10.* - python: '>=3.10,<3.11.0a0' numpy: '>=1.22.4,<2.0a0' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* scipy: '>=1.8' + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vc14_runtime: '>=14.29.30139' url: https://conda.anaconda.org/conda-forge/win-64/discretize-0.10.0-py310h4856b71_1.conda hash: md5: 7af88a12920a5b2b5ae459a5dd032019 @@ -1173,23 +1175,23 @@ package: manager: conda platform: linux-64 dependencies: - python: '>=3.9' - packaging: '>=20.0' - pyyaml: '>=5.3.1' - cloudpickle: '>=1.5.0' click: '>=8.0' - msgpack-python: '>=1.0.0' - urllib3: '>=1.24.3' - toolz: '>=0.10.0' + cloudpickle: '>=1.5.0' + cytoolz: '>=0.10.1' + dask-core: '>=2024.6.2,<2024.6.3.0a0' jinja2: '>=2.10.3' - tblib: '>=1.6.0' locket: '>=1.0.0' - tornado: '>=6.0.4' - sortedcontainers: '>=2.0.5' - cytoolz: '>=0.10.1' + msgpack-python: '>=1.0.0' + packaging: '>=20.0' psutil: '>=5.7.2' + python: '>=3.9' + pyyaml: '>=5.3.1' + sortedcontainers: '>=2.0.5' + tblib: '>=1.6.0' + toolz: '>=0.10.0' + tornado: '>=6.0.4' + urllib3: '>=1.24.3' zict: '>=3.0.0' - dask-core: '>=2024.6.2,<2024.6.3.0a0' url: https://conda.anaconda.org/conda-forge/noarch/distributed-2024.6.2-pyhd8ed1ab_0.conda hash: md5: eecb4c188864376d2b45a5afc4bcb2fa @@ -1207,8 +1209,8 @@ package: cloudpickle: '>=1.5.0' click: '>=8.0' msgpack-python: '>=1.0.0' - urllib3: '>=1.24.3' toolz: '>=0.10.0' + urllib3: '>=1.24.3' jinja2: '>=2.10.3' tblib: '>=1.6.0' locket: '>=1.0.0' @@ -1229,8 +1231,8 @@ package: manager: conda platform: linux-64 dependencies: - python_abi: 3.10.* python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* url: https://conda.anaconda.org/conda-forge/linux-64/docutils-0.18.1-py310hff52083_1.tar.bz2 hash: md5: 6405f87c427cdbc25b6b6a21bd6bfc2a @@ -1242,8 +1244,8 @@ package: manager: conda platform: win-64 dependencies: - python_abi: 3.10.* python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* url: https://conda.anaconda.org/conda-forge/win-64/docutils-0.18.1-py310h5588dad_1.tar.bz2 hash: md5: 10fe0cdd2629f3fe5d27db3f084545f5 @@ -1275,27 +1277,27 @@ package: category: dev optional: true - name: exceptiongroup - version: 1.2.0 + version: 1.2.2 manager: conda platform: linux-64 dependencies: python: '>=3.7' - url: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.0-pyhd8ed1ab_2.conda + url: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.2-pyhd8ed1ab_0.conda hash: - md5: 8d652ea2ee8eaee02ed8dc820bc794aa - sha256: a6ae416383bda0e3ed14eaa187c653e22bec94ff2aa3b56970cdf0032761e80d + md5: d02ae936e42063ca46af6cdad2dbd1e0 + sha256: e0edd30c4b7144406bb4da975e6bb97d6bc9c0e999aa4efe66ae108cada5d5b5 category: dev optional: true - name: exceptiongroup - version: 1.2.0 + version: 1.2.2 manager: conda platform: win-64 dependencies: python: '>=3.7' - url: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.0-pyhd8ed1ab_2.conda + url: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.2-pyhd8ed1ab_0.conda hash: - md5: 8d652ea2ee8eaee02ed8dc820bc794aa - sha256: a6ae416383bda0e3ed14eaa187c653e22bec94ff2aa3b56970cdf0032761e80d + md5: d02ae936e42063ca46af6cdad2dbd1e0 + sha256: e0edd30c4b7144406bb4da975e6bb97d6bc9c0e999aa4efe66ae108cada5d5b5 category: dev optional: true - name: executing @@ -1351,12 +1353,12 @@ package: manager: conda platform: linux-64 dependencies: + __glibc: '>=2.17,<3.0.a0' brotli: '' - munkres: '' libgcc-ng: '>=12' - python_abi: 3.10.* + munkres: '' python: '>=3.10,<3.11.0a0' - __glibc: '>=2.17,<3.0.a0' + python_abi: 3.10.* unicodedata2: '>=14.0.0' url: https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.53.1-py310h5b4e0ec_0.conda hash: @@ -1371,12 +1373,12 @@ package: dependencies: brotli: '' munkres: '' - vc: '>=14.2,<15' - ucrt: '>=10.0.20348.0' - vc14_runtime: '>=14.29.30139' - python_abi: 3.10.* python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* + ucrt: '>=10.0.20348.0' unicodedata2: '>=14.0.0' + vc: '>=14.2,<15' + vc14_runtime: '>=14.29.30139' url: https://conda.anaconda.org/conda-forge/win-64/fonttools-4.53.1-py310ha8f682b_0.conda hash: md5: 2cc3108eee7252ac8dcf22060a97be8d @@ -1415,8 +1417,8 @@ package: platform: linux-64 dependencies: libgcc-ng: '>=12' - libzlib: '>=1.2.13,<2.0.0a0' libpng: '>=1.6.39,<1.7.0a0' + libzlib: '>=1.2.13,<2.0.0a0' url: https://conda.anaconda.org/conda-forge/linux-64/freetype-2.12.1-h267a509_2.conda hash: md5: 9ae35c3d96db2c94ce0cef86efdfa2cb @@ -1428,11 +1430,11 @@ package: manager: conda platform: win-64 dependencies: - vc: '>=14.2,<15' + libpng: '>=1.6.39,<1.7.0a0' + libzlib: '>=1.2.13,<2.0.0a0' ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' vc14_runtime: '>=14.29.30139' - libzlib: '>=1.2.13,<2.0.0a0' - libpng: '>=1.6.39,<1.7.0a0' url: https://conda.anaconda.org/conda-forge/win-64/freetype-2.12.1-hdaf720e_2.conda hash: md5: 3761b23693f768dc75a8fd0a73ca053f @@ -1471,9 +1473,9 @@ package: libdlf: '' libgcc-ng: '>=12' libstdcxx-ng: '>=12' - python_abi: 3.10.* - python: '>=3.10,<3.11.0a0' numpy: '>=1.22.4,<2.0a0' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* scipy: '>=1.8' url: https://conda.anaconda.org/conda-forge/linux-64/geoana-0.5.0-py310hcb52e73_4.conda hash: @@ -1487,13 +1489,13 @@ package: platform: win-64 dependencies: libdlf: '' - vc: '>=14.2,<15' - ucrt: '>=10.0.20348.0' - vc14_runtime: '>=14.29.30139' - python_abi: 3.10.* - python: '>=3.10,<3.11.0a0' numpy: '>=1.22.4,<2.0a0' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* scipy: '>=1.8' + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vc14_runtime: '>=14.29.30139' url: https://conda.anaconda.org/conda-forge/win-64/geoana-0.5.0-py310h4856b71_4.conda hash: md5: ea10d52800881e088c64ee3f2ea024e8 @@ -1507,8 +1509,8 @@ package: dependencies: libgcc-ng: '>=12' libstdcxx-ng: '>=12' - python_abi: 3.10.* python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* url: https://conda.anaconda.org/conda-forge/linux-64/greenlet-3.0.3-py310hc6cd4ac_0.conda hash: md5: fb478fd83c001cbf8ab01c29b857262e @@ -1520,11 +1522,11 @@ package: manager: conda platform: win-64 dependencies: - vc: '>=14.2,<15' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' vc14_runtime: '>=14.29.30139' - python_abi: 3.10.* - python: '>=3.10,<3.11.0a0' url: https://conda.anaconda.org/conda-forge/win-64/greenlet-3.0.3-py310h00ffb61_0.conda hash: md5: e4b85f3e27b8210d5736906f8e11d149 @@ -1536,8 +1538,8 @@ package: manager: conda platform: linux-64 dependencies: - typing_extensions: '' python: '>=3' + typing_extensions: '' url: https://conda.anaconda.org/conda-forge/noarch/h11-0.14.0-pyhd8ed1ab_0.tar.bz2 hash: md5: b21ed0883505ba1910994f1df031a428 @@ -1562,9 +1564,9 @@ package: manager: conda platform: linux-64 dependencies: - python: '>=3.6.1' hpack: '>=4.0,<5' hyperframe: '>=6.0,<7' + python: '>=3.6.1' url: https://conda.anaconda.org/conda-forge/noarch/h2-4.1.0-pyhd8ed1ab_0.tar.bz2 hash: md5: b748fbf7060927a6e82df7cb5ee8f097 @@ -1591,11 +1593,11 @@ package: platform: linux-64 dependencies: cached-property: '' - libgcc-ng: '>=12' - python_abi: 3.10.* - python: '>=3.10,<3.11.0a0' hdf5: '>=1.14.3,<1.14.4.0a0' + libgcc-ng: '>=12' numpy: '>=1.19,<3' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* url: https://conda.anaconda.org/conda-forge/linux-64/h5py-3.11.0-nompi_py310hf054cd7_102.conda hash: md5: f74f9a0a4d713f5eec89917883f4ae7e @@ -1608,13 +1610,13 @@ package: platform: win-64 dependencies: cached-property: '' - vc: '>=14.2,<15' + hdf5: '>=1.14.3,<1.14.4.0a0' + numpy: '>=1.19,<3' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' vc14_runtime: '>=14.29.30139' - python_abi: 3.10.* - python: '>=3.10,<3.11.0a0' - numpy: '>=1.19,<3' - hdf5: '>=1.14.3,<1.14.4.0a0' url: https://conda.anaconda.org/conda-forge/win-64/h5py-3.11.0-nompi_py310h2b0be38_102.conda hash: md5: 6ea1515f0984ae6e916cc1f124e6b664 @@ -1626,14 +1628,14 @@ package: manager: conda platform: linux-64 dependencies: - libgfortran-ng: '' + libaec: '>=1.1.3,<2.0a0' + libcurl: '>=8.8.0,<9.0a0' libgcc-ng: '>=12' - libstdcxx-ng: '>=12' + libgfortran-ng: '' libgfortran5: '>=12.3.0' - openssl: '>=3.3.1,<4.0a0' + libstdcxx-ng: '>=12' libzlib: '>=1.2.13,<2.0a0' - libcurl: '>=8.8.0,<9.0a0' - libaec: '>=1.1.3,<2.0a0' + openssl: '>=3.3.1,<4.0a0' url: https://conda.anaconda.org/conda-forge/linux-64/hdf5-1.14.3-nompi_hdf9ad27_105.conda hash: md5: 7e1729554e209627636a0f6fabcdd115 @@ -1645,13 +1647,13 @@ package: manager: conda platform: win-64 dependencies: - vc: '>=14.2,<15' + libaec: '>=1.1.3,<2.0a0' + libcurl: '>=8.8.0,<9.0a0' + libzlib: '>=1.2.13,<2.0a0' + openssl: '>=3.3.1,<4.0a0' ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' vc14_runtime: '>=14.29.30139' - openssl: '>=3.3.1,<4.0a0' - libzlib: '>=1.2.13,<2.0a0' - libcurl: '>=8.8.0,<9.0a0' - libaec: '>=1.1.3,<2.0a0' url: https://conda.anaconda.org/conda-forge/win-64/hdf5-1.14.3-nompi_h2b43c12_105.conda hash: md5: 5788de34381caf624b78c4981618dc0a @@ -1687,12 +1689,12 @@ package: manager: conda platform: linux-64 dependencies: + anyio: '>=3.0,<5.0' certifi: '' + h11: '>=0.13,<0.15' + h2: '>=3,<5' python: '>=3.8' sniffio: 1.* - h2: '>=3,<5' - anyio: '>=3.0,<5.0' - h11: '>=0.13,<0.15' url: https://conda.anaconda.org/conda-forge/noarch/httpcore-1.0.5-pyhd8ed1ab_0.conda hash: md5: a6b9a0158301e697e4d0a36a3d60e133 @@ -1721,12 +1723,12 @@ package: manager: conda platform: linux-64 dependencies: + anyio: '' certifi: '' + httpcore: 1.* idna: '' - anyio: '' - sniffio: '' python: '>=3.8' - httpcore: 1.* + sniffio: '' url: https://conda.anaconda.org/conda-forge/noarch/httpx-0.27.0-pyhd8ed1ab_0.conda hash: md5: 9f359af5a886fd6ca6b2b6ea02e58332 @@ -1775,16 +1777,17 @@ package: category: main optional: false - name: icu - version: '73.2' + version: '75.1' manager: conda platform: linux-64 dependencies: + __glibc: '>=2.17,<3.0.a0' libgcc-ng: '>=12' libstdcxx-ng: '>=12' - url: https://conda.anaconda.org/conda-forge/linux-64/icu-73.2-h59595ed_0.conda + url: https://conda.anaconda.org/conda-forge/linux-64/icu-75.1-he02047a_0.conda hash: - md5: cc47e1facc155f91abd89b11e48e72ff - sha256: e12fd90ef6601da2875ebc432452590bc82a893041473bc1c13ef29001a73ea8 + md5: 8b189310083baabfb622af68fd9d3ae3 + sha256: 71e750d509f5fa3421087ba88ef9a7b9be11c53174af3aa4d06aff4c18b38e8e category: main optional: false - name: idna @@ -1951,20 +1954,20 @@ package: manager: conda platform: linux-64 dependencies: - packaging: '' - psutil: '' - nest-asyncio: '' __linux: '' - python: '>=3.8' - tornado: '>=6.1' + comm: '>=0.1.1' + debugpy: '>=1.6.5' + ipython: '>=7.23.1' jupyter_client: '>=6.1.12' jupyter_core: '>=4.12,!=5.0.*' - ipython: '>=7.23.1' matplotlib-inline: '>=0.1' - debugpy: '>=1.6.5' - comm: '>=0.1.1' - traitlets: '>=5.4.0' + nest-asyncio: '' + packaging: '' + psutil: '' + python: '>=3.8' pyzmq: '>=24' + tornado: '>=6.1' + traitlets: '>=5.4.0' url: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.5-pyh3099207_0.conda hash: md5: b40131ab6a36ac2c09b7c57d4d3fbf99 @@ -1987,9 +1990,9 @@ package: ipython: '>=7.23.1' matplotlib-inline: '>=0.1' debugpy: '>=1.6.5' + pyzmq: '>=24' comm: '>=0.1.1' traitlets: '>=5.4.0' - pyzmq: '>=24' url: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.5-pyh4bbf305_0.conda hash: md5: 18df5fc4944a679e085e0e8f31775fc8 @@ -2004,14 +2007,14 @@ package: __unix: '' decorator: '' exceptiongroup: '' - matplotlib-inline: '' - stack_data: '' - pickleshare: '' - python: '>=3.10' - pygments: '>=2.4.0' jedi: '>=0.16' + matplotlib-inline: '' pexpect: '>4.3' + pickleshare: '' prompt-toolkit: '>=3.0.41,<3.1.0' + pygments: '>=2.4.0' + python: '>=3.10' + stack_data: '' traitlets: '>=5.13.0' typing_extensions: '>=4.6' url: https://conda.anaconda.org/conda-forge/noarch/ipython-8.26.0-pyh707e725_0.conda @@ -2073,12 +2076,12 @@ package: manager: conda platform: linux-64 dependencies: - python: '>=3.3' + comm: '>=0.1.3' ipython: '>=4.0.0' - traitlets: '>=4.3.1' ipython_genutils: '>=0.2.0,<0.3.0' - comm: '>=0.1.3' jupyterlab_widgets: '>=1.0.0,<3' + python: '>=3.3' + traitlets: '>=4.3.1' widgetsnbextension: '>=3.6.7,<3.7.0' url: https://conda.anaconda.org/conda-forge/noarch/ipywidgets-7.8.2-pyhd8ed1ab_0.conda hash: @@ -2109,8 +2112,8 @@ package: manager: conda platform: linux-64 dependencies: - python: '>=3.7' arrow: '>=0.15.0' + python: '>=3.7' url: https://conda.anaconda.org/conda-forge/noarch/isoduration-20.11.0-pyhd8ed1ab_0.tar.bz2 hash: md5: 4cb68948e0b8429534380243d063a27a @@ -2135,8 +2138,8 @@ package: manager: conda platform: linux-64 dependencies: - setuptools: '' python: '>=3.8,<4.0' + setuptools: '' url: https://conda.anaconda.org/conda-forge/noarch/isort-5.13.2-pyhd8ed1ab_0.conda hash: md5: 1d25ed2b95b92b026aaa795eabec8d91 @@ -2161,8 +2164,8 @@ package: manager: conda platform: linux-64 dependencies: - python: '>=3.6' parso: '>=0.8.3,<0.9.0' + python: '>=3.6' url: https://conda.anaconda.org/conda-forge/noarch/jedi-0.19.1-pyhd8ed1ab_0.conda hash: md5: 81a3be0b2023e1ea8555781f0ad904a2 @@ -2187,8 +2190,8 @@ package: manager: conda platform: linux-64 dependencies: - python: '>=3.7' markupsafe: '>=2.0' + python: '>=3.7' url: https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.4-pyhd8ed1ab_0.conda hash: md5: 7b86ecb7d3557821c649b3c31e3eb9f2 @@ -2213,8 +2216,8 @@ package: manager: conda platform: linux-64 dependencies: - setuptools: '' python: '>=3.8' + setuptools: '' url: https://conda.anaconda.org/conda-forge/noarch/joblib-1.4.2-pyhd8ed1ab_0.conda hash: md5: 25df261d4523d9f9783bcdb7208d872f @@ -2263,8 +2266,8 @@ package: manager: conda platform: linux-64 dependencies: - python_abi: 3.10.* python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* url: https://conda.anaconda.org/conda-forge/linux-64/jsonpointer-3.0.0-py310hff52083_0.conda hash: md5: e546c847260e094f41d0d2f8d17fcbdd @@ -2276,8 +2279,8 @@ package: manager: conda platform: win-64 dependencies: - python_abi: 3.10.* python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* url: https://conda.anaconda.org/conda-forge/win-64/jsonpointer-3.0.0-py310h5588dad_0.conda hash: md5: de28f44545519f90e3068715ad340c97 @@ -2289,11 +2292,11 @@ package: manager: conda platform: linux-64 dependencies: - python: '>=3.8' attrs: '>=22.2.0' importlib_resources: '>=1.4.0' - pkgutil-resolve-name: '>=1.3.10' jsonschema-specifications: '>=2023.03.6' + pkgutil-resolve-name: '>=1.3.10' + python: '>=3.8' referencing: '>=0.28.4' rpds-py: '>=0.7.1' url: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.23.0-pyhd8ed1ab_0.conda @@ -2325,8 +2328,8 @@ package: manager: conda platform: linux-64 dependencies: - python: '>=3.8' importlib_resources: '>=1.4.0' + python: '>=3.8' referencing: '>=0.31.0' url: https://conda.anaconda.org/conda-forge/noarch/jsonschema-specifications-2023.12.1-pyhd8ed1ab_0.conda hash: @@ -2353,14 +2356,14 @@ package: manager: conda platform: linux-64 dependencies: - idna: '' - rfc3339-validator: '' - uri-template: '' fqdn: '' + idna: '' isoduration: '' jsonpointer: '>1.13' - rfc3986-validator: '>0.1.0' jsonschema: '>=4.23.0,<4.23.1.0a0' + rfc3339-validator: '' + rfc3986-validator: '>0.1.0' + uri-template: '' webcolors: '>=24.6.0' url: https://conda.anaconda.org/conda-forge/noarch/jsonschema-with-format-nongpl-4.23.0-hd8ed1ab_0.conda hash: @@ -2393,25 +2396,25 @@ package: manager: conda platform: linux-64 dependencies: - pyyaml: '' - jinja2: '' - sphinx-copybutton: '' - sphinx-togglebutton: '' - sphinx-comments: '' - python: '>=3.7' click: '>=7.1,<9' - sphinx: '>=4,<6' - sphinx-multitoc-numbering: '>=0.1.3,<0.2.0' - sphinxcontrib-bibtex: '>=2.2.0,<=2.5.0' - jsonschema: <5 docutils: '>=0.15,<0.19' + jinja2: '' + jsonschema: <5 linkify-it-py: '>=2.0.0,<2.1.0' - sphinx-external-toc: '>=0.3.1,<0.4.0' - sphinx-jupyterbook-latex: '>=0.5.2,<0.6.0' myst-nb: '>=0.17.1,<0.18.0' + python: '>=3.7' + pyyaml: '' + sphinx: '>=4,<6' sphinx-book-theme: '>=1.0.0,<1.1.0' + sphinx-comments: '' + sphinx-copybutton: '' sphinx-design: '>=0.3.0,<0.4.0' + sphinx-external-toc: '>=0.3.1,<0.4.0' + sphinx-jupyterbook-latex: '>=0.5.2,<0.6.0' + sphinx-multitoc-numbering: '>=0.1.3,<0.2.0' sphinx-thebe: '>=0.2.0,<0.3.0' + sphinx-togglebutton: '' + sphinxcontrib-bibtex: '>=2.2.0,<=2.5.0' url: https://conda.anaconda.org/conda-forge/noarch/jupyter-book-0.15.1-pyhd8ed1ab_0.conda hash: md5: f10d556d3b3dc0aeae6aee37c412ea60 @@ -2453,15 +2456,15 @@ package: manager: conda platform: linux-64 dependencies: - pyyaml: '' + attrs: '' click: '' importlib-metadata: '' - tabulate: '' + nbclient: '>=0.2,<0.8' nbformat: '' - attrs: '' python: '>=3.8' + pyyaml: '' sqlalchemy: '>=1.3.12,<3' - nbclient: '>=0.2,<0.8' + tabulate: '' url: https://conda.anaconda.org/conda-forge/noarch/jupyter-cache-0.6.1-pyhd8ed1ab_0.conda hash: md5: 2e360820ae68e3d28e1a5a9d2714ca5c @@ -2493,9 +2496,9 @@ package: manager: conda platform: linux-64 dependencies: - python: '>=3.8' importlib-metadata: '>=4.8.3' jupyter_server: '>=1.1.2' + python: '>=3.8' url: https://conda.anaconda.org/conda-forge/noarch/jupyter-lsp-2.2.5-pyhd8ed1ab_0.conda hash: md5: 885867f6adab3d7ecdf8ab6ca0785f51 @@ -2521,13 +2524,13 @@ package: manager: conda platform: linux-64 dependencies: + importlib_metadata: '>=4.8.3' + jupyter_core: '>=4.12,!=5.0.*' python: '>=3.8' python-dateutil: '>=2.8.2' - jupyter_core: '>=4.12,!=5.0.*' - importlib_metadata: '>=4.8.3' - traitlets: '>=5.3' - tornado: '>=6.2' pyzmq: '>=23.0' + tornado: '>=6.2' + traitlets: '>=5.3' url: https://conda.anaconda.org/conda-forge/noarch/jupyter_client-8.6.2-pyhd8ed1ab_0.conda hash: md5: 3cdbb2fa84490e5fd44c9f9806c0d292 @@ -2557,9 +2560,9 @@ package: manager: conda platform: linux-64 dependencies: - python_abi: 3.10.* - python: '>=3.10,<3.11.0a0' platformdirs: '>=2.5' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* traitlets: '>=5.3' url: https://conda.anaconda.org/conda-forge/linux-64/jupyter_core-5.7.2-py310hff52083_0.conda hash: @@ -2572,10 +2575,10 @@ package: manager: conda platform: win-64 dependencies: - python_abi: 3.10.* + platformdirs: '>=2.5' python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* pywin32: '>=300' - platformdirs: '>=2.5' traitlets: '>=5.3' url: https://conda.anaconda.org/conda-forge/win-64/jupyter_core-5.7.2-py310h5588dad_0.conda hash: @@ -2588,14 +2591,14 @@ package: manager: conda platform: linux-64 dependencies: - referencing: '' - rfc3339-validator: '' + jsonschema-with-format-nongpl: '>=4.18.0' python: '>=3.8' + python-json-logger: '>=2.0.4' pyyaml: '>=5.3' + referencing: '' + rfc3339-validator: '' rfc3986-validator: '>=0.1.1' traitlets: '>=5.3' - python-json-logger: '>=2.0.4' - jsonschema-with-format-nongpl: '>=4.18.0' url: https://conda.anaconda.org/conda-forge/noarch/jupyter_events-0.10.0-pyhd8ed1ab_0.conda hash: md5: ed45423c41b3da15ea1df39b1f80c2ca @@ -2622,37 +2625,37 @@ package: category: dev optional: true - 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name: jupyter_server_terminals @@ -2708,35 +2711,35 @@ package: category: dev optional: true - name: jupyterlab - version: 4.2.3 + version: 4.2.4 manager: conda platform: linux-64 dependencies: - packaging: '' - traitlets: '' - jupyter_core: '' - python: '>=3.8' - tornado: '>=6.2.0' - tomli: '>=1.2.2' - jinja2: '>=3.0.3' + async-lru: '>=1.0.0' + httpx: '>=0.25.0' importlib_metadata: '>=4.8.3' - jupyter_server: '>=2.4.0,<3' importlib_resources: '>=1.4' + ipykernel: '>=6.5.0' + jinja2: '>=3.0.3' jupyter-lsp: '>=2.0.0' - async-lru: '>=1.0.0' + jupyter_core: '' + jupyter_server: '>=2.4.0,<3' + jupyterlab_server: '>=2.27.1,<3' notebook-shim: '>=0.2' + packaging: '' + python: '>=3.8' setuptools: '>=40.1.0' - httpx: '>=0.25.0' - jupyterlab_server: '>=2.27.1,<3' - ipykernel: '>=6.5.0' - url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.2.3-pyhd8ed1ab_0.conda + tomli: '>=1.2.2' + tornado: '>=6.2.0' + traitlets: '' + url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.2.4-pyhd8ed1ab_0.conda hash: - 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name: jupyterlab_pygments @@ -2768,8 +2771,8 @@ package: manager: conda platform: linux-64 dependencies: - python: '>=3.7' pygments: '>=2.4.1,<3' + python: '>=3.7' url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_pygments-0.3.0-pyhd8ed1ab_1.conda hash: md5: afcd1b53bcac8844540358e33f33d28f @@ -2790,27 +2793,27 @@ package: category: dev optional: true - name: jupyterlab_server - version: 2.27.2 + version: 2.27.3 manager: conda platform: linux-64 dependencies: - python: '>=3.8' - packaging: '>=21.3' - jinja2: '>=3.0.3' - importlib-metadata: '>=4.8.3' - requests: '>=2.31' - jupyter_server: '>=1.21,<3' babel: '>=2.10' + importlib-metadata: '>=4.8.3' + jinja2: '>=3.0.3' json5: '>=0.9.0' jsonschema: '>=4.18' - url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.27.2-pyhd8ed1ab_0.conda + jupyter_server: '>=1.21,<3' + packaging: '>=21.3' + python: '>=3.8' + requests: '>=2.31' + url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.27.3-pyhd8ed1ab_0.conda hash: - 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pyyaml: '' - packaging: '' - nbformat: '' - tomli: '' + markdown-it-py: '>=1.0' mdit-py-plugins: '' + nbformat: '' + packaging: '' python: '>=3.8' - markdown-it-py: '>=1.0' + pyyaml: '' + tomli: '' url: https://conda.anaconda.org/conda-forge/noarch/jupytext-1.16.3-pyhd8ed1ab_0.conda hash: md5: cd2b5f8c56bd2f7e890ff06da3700cf6 @@ -2908,8 +2911,8 @@ package: dependencies: libgcc-ng: '>=12' libstdcxx-ng: '>=12' - python_abi: 3.10.* python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* url: https://conda.anaconda.org/conda-forge/linux-64/kiwisolver-1.4.5-py310hd41b1e2_1.conda hash: md5: b8d67603d43b23ce7e988a5d81a7ab79 @@ -2921,11 +2924,11 @@ package: manager: conda platform: win-64 dependencies: - vc: '>=14.2,<15' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' vc14_runtime: '>=14.29.30139' - python_abi: 3.10.* - python: '>=3.10,<3.11.0a0' url: https://conda.anaconda.org/conda-forge/win-64/kiwisolver-1.4.5-py310h232114e_1.conda hash: md5: a340ed8a9c513e2782cb7feb3cfe665d @@ -2937,11 +2940,11 @@ package: manager: conda platform: linux-64 dependencies: + keyutils: '>=1.6.1,<2.0a0' + libedit: '>=3.1.20191231,<4.0a0' libgcc-ng: '>=12' libstdcxx-ng: '>=12' openssl: '>=3.3.1,<4.0a0' - 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python_abi: 3.10.* python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* url: https://conda.anaconda.org/conda-forge/linux-64/markupsafe-2.1.5-py310h2372a71_0.conda hash: md5: f6703fa0214a00bf49d1bef6dc7672d0 @@ -4001,11 +4005,11 @@ package: manager: conda platform: win-64 dependencies: - vc: '>=14.2,<15' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' vc14_runtime: '>=14.29.30139' - python_abi: 3.10.* - python: '>=3.10,<3.11.0a0' url: https://conda.anaconda.org/conda-forge/win-64/markupsafe-2.1.5-py310h8d17308_0.conda hash: md5: eceba0306d8619bd34a650e673d3e6c3 @@ -4017,22 +4021,22 @@ package: manager: conda platform: linux-64 dependencies: + certifi: '>=2020.06.20' + contourpy: '>=1.0.1' + cycler: '>=0.10' + fonttools: '>=4.22.0' + freetype: '>=2.12.1,<3.0a0' + kiwisolver: '>=1.3.1' libgcc-ng: '>=12' libstdcxx-ng: '>=12' - python_abi: 3.10.* - python: '>=3.10,<3.11.0a0' - freetype: '>=2.12.1,<3.0a0' numpy: '>=1.21' packaging: '>=20.0' - cycler: '>=0.10' - 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traitlets: '' python: '>=3.6' + traitlets: '' url: https://conda.anaconda.org/conda-forge/noarch/matplotlib-inline-0.1.7-pyhd8ed1ab_0.conda hash: md5: 779345c95648be40d22aaa89de7d4254 @@ -4121,8 +4125,8 @@ package: manager: conda platform: linux-64 dependencies: - python: '>=3.8' markdown-it-py: '>=1.0.0,<4.0.0' + python: '>=3.8' url: https://conda.anaconda.org/conda-forge/noarch/mdit-py-plugins-0.4.1-pyhd8ed1ab_0.conda hash: md5: eb90dd178bcdd0260dfaa6e1cbccf042 @@ -4195,9 +4199,9 @@ package: manager: conda platform: linux-64 dependencies: - _openmp_mutex: '*' - tbb: 2021.* + _openmp_mutex: '>=4.5' llvm-openmp: '>=17.0.3' + tbb: 2021.* url: https://conda.anaconda.org/conda-forge/linux-64/mkl-2023.2.0-h84fe81f_50496.conda hash: md5: 81d4a1a57d618adf0152db973d93b2ad @@ -4209,8 +4213,8 @@ package: manager: conda platform: win-64 dependencies: - tbb: 2021.* intel-openmp: 2023.* + tbb: 2021.* url: https://conda.anaconda.org/conda-forge/win-64/mkl-2023.2.0-h6a75c08_50497.conda hash: md5: 064cea9f45531e7b53584acf4bd8b044 @@ -4224,8 +4228,8 @@ package: dependencies: libgcc-ng: '>=12' libstdcxx-ng: '>=12' - python_abi: 3.10.* python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* url: https://conda.anaconda.org/conda-forge/linux-64/msgpack-python-1.0.8-py310h25c7140_0.conda hash: md5: ad681a3290620ca6196bcd46ed3101cd @@ -4237,11 +4241,11 @@ package: manager: conda platform: win-64 dependencies: - vc: '>=14.2,<15' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' vc14_runtime: '>=14.29.30139' - python_abi: 3.10.* - python: '>=3.10,<3.11.0a0' url: https://conda.anaconda.org/conda-forge/win-64/msgpack-python-1.0.8-py310hc19bc0b_0.conda hash: md5: f1188194dd35d19b490d8d13f6380f19 @@ -4288,17 +4292,17 @@ package: manager: conda platform: linux-64 dependencies: - pyyaml: '' - typing_extensions: '' - ipython: '' importlib-metadata: '' ipykernel: '' + ipython: '' + jupyter-cache: '>=0.5.0,<0.7.0' + myst-parser: '>=0.18.0,<0.19.0' nbclient: '' - python: '>=3.7' nbformat: '>=5.0,<6' + python: '>=3.7' + pyyaml: '' sphinx: '>=4,<6' - myst-parser: '>=0.18.0,<0.19.0' - 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packaging: '' beautifulsoup4: '' - defusedxml: '' bleach: '' - tinycss2: '' - jupyterlab_pygments: '' - python: '>=3.8' - jinja2: '>=3.0' + defusedxml: '' entrypoints: '>=0.2.2' - markupsafe: '>=2.0' + jinja2: '>=3.0' jupyter_core: '>=4.7' - traitlets: '>=5.0' - pandocfilters: '>=1.4.1' + jupyterlab_pygments: '' + markupsafe: '>=2.0' + mistune: '>=2.0.3,<4' + nbclient: '>=0.5.0' nbformat: '>=5.1' + packaging: '' + pandocfilters: '>=1.4.1' pygments: '>=2.4.1' - nbclient: '>=0.5.0' - mistune: '>=2.0.3,<4' + python: '>=3.8' + tinycss2: '' + traitlets: '>=5.0' url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.4-pyhd8ed1ab_1.conda hash: md5: e2d2abb421c13456a9a9f80272fdf543 @@ -4484,8 +4488,8 @@ package: manager: conda platform: linux-64 dependencies: - pandoc: '' nbconvert-core: 7.16.4 + pandoc: '' url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-pandoc-7.16.4-hd8ed1ab_1.conda hash: md5: 37cec2cf68f4c09563d8bc833791096b @@ -4510,11 +4514,11 @@ package: manager: conda platform: linux-64 dependencies: - python: '>=3.8' - jupyter_core: '>=4.12,!=5.0.*' - traitlets: '>=5.1' jsonschema: '>=2.6' + jupyter_core: '>=4.12,!=5.0.*' + python: '>=3.8' python-fastjsonschema: '>=2.15' + traitlets: '>=5.1' url: https://conda.anaconda.org/conda-forge/noarch/nbformat-5.10.4-pyhd8ed1ab_0.conda hash: md5: 0b57b5368ab7fc7cdc9e3511fa867214 @@ -4578,12 +4582,12 @@ package: manager: conda platform: linux-64 dependencies: - python: '>=3.8' - tornado: '>=6.2.0' jupyter_server: '>=2.4.0,<3' - notebook-shim: '>=0.2,<0.3' - jupyterlab_server: '>=2.27.1,<3' jupyterlab: '>=4.2.0,<4.3' + jupyterlab_server: '>=2.27.1,<3' + notebook-shim: '>=0.2,<0.3' + python: '>=3.8' + tornado: '>=6.2.0' url: https://conda.anaconda.org/conda-forge/noarch/notebook-7.2.1-pyhd8ed1ab_0.conda hash: md5: 08fa71a038c2cac2e636a5a456df15d5 @@ -4612,8 +4616,8 @@ package: manager: conda platform: linux-64 dependencies: - python: '>=3.7' jupyter_server: '>=1.8,<3' + python: '>=3.7' url: https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.4-pyhd8ed1ab_0.conda hash: md5: 3d85618e2c97ab896b5b5e298d32b5b3 @@ -4638,12 +4642,12 @@ package: manager: conda platform: linux-64 dependencies: - 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name: pybtex @@ -5295,11 +5300,11 @@ package: manager: conda platform: linux-64 dependencies: - setuptools: '' - six: '' - python: '>=3.6' latexcodec: '>=1.0.4' + python: '>=3.6' pyyaml: '>=3.01' + setuptools: '' + six: '' url: https://conda.anaconda.org/conda-forge/noarch/pybtex-0.24.0-pyhd8ed1ab_2.tar.bz2 hash: md5: 2099b86a7399c44c0c61cdb6de6915ba @@ -5327,11 +5332,11 @@ package: manager: conda platform: linux-64 dependencies: - setuptools: '' - python_abi: 3.10.* - python: '>=3.10,<3.11.0a0' - pybtex: '>=0.16' docutils: '>=0.14' + pybtex: '>=0.16' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* + setuptools: '' url: https://conda.anaconda.org/conda-forge/linux-64/pybtex-docutils-1.0.3-py310hff52083_1.conda hash: md5: 034283fbf3c33795e7fa63b25ddbe70c @@ -5343,11 +5348,11 @@ package: manager: conda platform: win-64 dependencies: - setuptools: '' - python_abi: 3.10.* - python: '>=3.10,<3.11.0a0' - pybtex: '>=0.16' docutils: '>=0.14' + pybtex: '>=0.16' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* + setuptools: '' url: https://conda.anaconda.org/conda-forge/win-64/pybtex-docutils-1.0.3-py310h5588dad_1.conda hash: md5: a285c3e15bcb7b4b6824377f6b1db8f8 @@ -5383,10 +5388,10 @@ package: manager: conda platform: linux-64 dependencies: - 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requests: '' + jinja2: '>=2.9' packaging: '' python: '>=3.7' - jinja2: '>=2.9' + requests: '' url: https://conda.anaconda.org/conda-forge/noarch/readthedocs-sphinx-ext-2.2.5-pyhd8ed1ab_0.conda hash: md5: 4b639db3b362998c696f7abf4784ee80 @@ -6095,8 +6100,8 @@ package: manager: conda platform: linux-64 dependencies: - python: '>=3.8' attrs: '>=22.2.0' + python: '>=3.8' rpds-py: '>=0.7.0' url: https://conda.anaconda.org/conda-forge/noarch/referencing-0.35.1-pyhd8ed1ab_0.conda hash: @@ -6123,10 +6128,10 @@ package: manager: conda platform: linux-64 dependencies: - python: '>=3.8' - idna: '>=2.5,<4' certifi: '>=2017.4.17' charset-normalizer: '>=2,<4' + idna: '>=2.5,<4' + python: '>=3.8' urllib3: '>=1.21.1,<3' url: https://conda.anaconda.org/conda-forge/noarch/requests-2.32.3-pyhd8ed1ab_0.conda hash: @@ -6155,8 +6160,8 @@ package: manager: conda platform: linux-64 dependencies: - six: '' python: '>=3.5' + six: '' url: https://conda.anaconda.org/conda-forge/noarch/rfc3339-validator-0.1.4-pyhd8ed1ab_0.tar.bz2 hash: md5: fed45fc5ea0813240707998abe49f520 @@ -6205,10 +6210,10 @@ package: manager: conda platform: linux-64 dependencies: + __glibc: '>=2.17,<3.0.a0' libgcc-ng: '>=12' - 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    \n", "\n", "# Magnetic Inversion\n", "\n", - "This section focuses on the inversion of magnetic data using a scalar (susceptibility) and a magnetization (vector) approach.\n", + "This section focuses on the inversion of magnetic data using a scalar (susceptibility) and a magnetization (vector) approach generated from the Flin Flon magnetic model ([Figure X](mag_model).\n", + "\n", + "```{figure} ./images/magnetics/mag_model.png\n", + "---\n", + "scale: 50%\n", + "name: mag_model\n", + "---\n", + "```\n", "\n", "\n", "

    " @@ -17,12 +24,12 @@ }, { "cell_type": "markdown", - "id": "b8fb5dec", + "id": "eff25c3f", "metadata": {}, "source": [ "(magnetic-data)=\n", "\n", - "## Data (TMI)\n", + "## Forward simulation\n", "\n", "We simulated Residual Magnetic Intensity (RMI) data along East-West lines at a 40 m drape height above topography. The line spacing was set to 200 m, with along-line data downsampled to 10 m.\n", "\n", @@ -35,8 +42,7 @@ "---\n", "```\n", "\n", - "This simulation assumes a purely induced response with no additional information provided about the direction of magnetization.\n", - "\n", + "For simplicity, the simulation assumes a purely induced response. This is done by omitting to provide values/models for the magnetization inclination and declination. The inducing field parameters are used instead. After running the forward simulation, we obtain RMI data as shown in [Figure X](mag_data). We note the strong correlation between the amplitude of the signal and the horizontal position of the ore body. There is also a significant East-West trend due to the weakly magnetic but large Hidden Formation.\n", "\n", "\n", "```{figure} ./images/magnetics/MAG_data.png\n", @@ -47,19 +53,17 @@ "Residual magnetic intensity (RMI) data measured over the zone of interest.\n", "```\n", "\n", - "We can notice a strong correlation between the RMI data and the horizontal position of the ore body.\n", - "\n", "

    " ] }, { "cell_type": "markdown", - "id": "3846ec0e", + "id": "bcd98313", "metadata": {}, "source": [ "## Mesh creation\n", "\n", - "In preparation for the the inversion, we can create an optimal octree mesh for this survey. For potential fields data, only the discretization below ground matters as air cells are ignored in the calculations. [Figure X]() shows the parameters used in this case.\n", + "In preparation for the inversion, we create an octree mesh optimized for the magnetic survey. [Figure X]() shows the parameters used.\n", "\n", "```{figure} ./images/magnetics/mesh_core.png\n", "---\n", @@ -69,46 +73,74 @@ "Residual magnetic intensity (RMI) data measured over the zone of interest.\n", "```\n", "\n", - "For the refinement, ...\n", + "For the first refinement, we apply only a couple cells radially around our survey lines to assure that the air-ground interface near the receivers are modeled with the finest cell size.\n", + "\n", + "A second refinement is used along topography to get a coarse but continuous air-ground interface outside the area or interest.\n", "\n", + "A third \"horizon\" type of refinement is used to get a core region of increasing cell size with depth directly below the survey.\n", "\n", "```{figure} ./images/magnetics/mesh_refinement.png\n", "---\n", "scale: 50%\n", - "name: mag_data\n", + "name: mag_refinement\n", "---\n", - "Residual magnetic intensity (RMI) data measured over the zone of interest.\n", + "Refinement strategy used for the magnetic modeling.\n", "```\n", "\n", - "\n", "See [Mesh creation](../inversion/mesh_design.ipynb) section for general details on the parameters.\n" ] }, { "cell_type": "markdown", - "id": "93e9f2f4", + "id": "eb295a81", "metadata": {}, "source": [ "## Scalar inversion (susceptibility)\n", "\n", - "The airborne magnetic data were inverted over a range of uncertainties in order to achieve an adequate data fit. Following the smooth solution, a series of IRLS iterations were performed to recover an alternate, more compact model. The following figure shows sections through the recovered models and compares the observed and predicted data.\n", + "**Runtime: ~1 min**\n", "\n", + "As a first pass, we invert the data with default parameters shown in [Figure X](data_input). We use a constant 25 nT floor uncertainty, determined empirically to achieve good fit.\n", "\n", - "```{figure} ./images/mag_model_TOP.png\n", + "```{figure} ./images/data_input.png\n", "---\n", "height: 400px\n", "\n", - "name: mag_model_TOP\n", + "name: mag_default\n", + "---\n", + "(Top) (left) Observed and (right) predicted data after convergence of the L2 (smooth) solution. Most of the data is well recovered.\n", + "\n", + "(Bottom) Horizontal slice at 255 m elevation for (left) the smooth and (right) compact magnetization models.\n", + "```\n", + "\n", + "Following the smooth solution, a series of IRLS iterations were performed to recover an alternate, more compact model. The following figure shows sections through the recovered models and compares the observed and predicted data.\n", + "\n", + "\n", + "```{figure} ./images/data_input.png\n", + "---\n", + "height: 400px\n", + "\n", + "name: mag_default\n", "---\n", "(Top) (left) Observed and (right) predicted data after convergence of the L2 (smooth) solution. Most of the data is well recovered.\n", "\n", "(Bottom) Horizontal slice at 255 m elevation for (left) the smooth and (right) compact magnetization models.\n", - "```\n" + "```\n", + "\n", + "\n", + "### No reference model\n", + "\n", + "From our previous attempt, we note that large portions of the model, in the padding cells and at depth, have no anomalies. All the magnetic signal is confined to a region directly below the survey lines. This is somewhat surprising given the large East-West trend in the data, which would be better explain by a large body extending beyond the extent of our survey.\n", + "As a second pass, we test whether our initial assumption of a uniform 0 susceptibility model is adequate ([Figure X]())\n", + "\n", + "The recovered model shown in [Figure X](data_input) generally agrees with the position of the strongly magnetic ore body, but changes greatly outside the survey area. Since we have not imposed any constraints on the background value, the inversion is free to extend the anomaly both at depth and in the padding region.\n", + "\n", + "\n", + "[To be continued with detrending and regional removal]" ] }, { "cell_type": "markdown", - "id": "e3da2e13", + "id": "28a3ff6a", "metadata": {}, "source": [ "## Magnetic vector inversion (MVI)\n", @@ -135,7 +167,7 @@ }, { "cell_type": "markdown", - "id": "ea2f29bd", + "id": "0a729d34", "metadata": {}, "source": [ "## Compact models\n", diff --git a/docs/case_study/magnetic.py b/docs/case_study/magnetic.py index 31e452da..845f9d00 100644 --- a/docs/case_study/magnetic.py +++ b/docs/case_study/magnetic.py @@ -16,14 +16,21 @@ # # # Magnetic Inversion # -# This section focuses on the inversion of magnetic data using a scalar (susceptibility) and a magnetization (vector) approach. +# This section focuses on the inversion of magnetic data using a scalar (susceptibility) and a magnetization (vector) approach generated from the Flin Flon magnetic model ([Figure X](mag_model). +# +# ```{figure} ./images/magnetics/mag_model.png +# --- +# scale: 50% +# name: mag_model +# --- +# ``` # # #

    # (magnetic-data)= # -# ## Data (TMI) +# ## Forward simulation # # We simulated Residual Magnetic Intensity (RMI) data along East-West lines at a 40 m drape height above topography. The line spacing was set to 200 m, with along-line data downsampled to 10 m. # @@ -36,8 +43,7 @@ # --- # ``` # -# This simulation assumes a purely induced response with no additional information provided about the direction of magnetization. -# +# For simplicity, the simulation assumes a purely induced response. This is done by omitting to provide values/models for the magnetization inclination and declination. The inducing field parameters are used instead. After running the forward simulation, we obtain RMI data as shown in [Figure X](mag_data). We note the strong correlation between the amplitude of the signal and the horizontal position of the ore body. There is also a significant East-West trend due to the weakly magnetic but large Hidden Formation. # # # ```{figure} ./images/magnetics/MAG_data.png @@ -48,13 +54,11 @@ # Residual magnetic intensity (RMI) data measured over the zone of interest. # ``` # -# We can notice a strong correlation between the RMI data and the horizontal position of the ore body. -# #

    # ## Mesh creation # -# In preparation for the the inversion, we can create an optimal octree mesh for this survey. For potential fields data, only the discretization below ground matters as air cells are ignored in the calculations. [Figure X]() shows the parameters used in this case. +# In preparation for the inversion, we create an octree mesh optimized for the magnetic survey. [Figure X]() shows the parameters used. # # ```{figure} ./images/magnetics/mesh_core.png # --- @@ -64,37 +68,64 @@ # Residual magnetic intensity (RMI) data measured over the zone of interest. # ``` # -# For the refinement, ... +# For the first refinement, we apply only a couple cells radially around our survey lines to assure that the air-ground interface near the receivers are modeled with the finest cell size. +# +# A second refinement is used along topography to get a coarse but continuous air-ground interface outside the area or interest. # +# A third "horizon" type of refinement is used to get a core region of increasing cell size with depth directly below the survey. # # ```{figure} ./images/magnetics/mesh_refinement.png # --- # scale: 50% -# name: mag_data +# name: mag_refinement # --- -# Residual magnetic intensity (RMI) data measured over the zone of interest. +# Refinement strategy used for the magnetic modeling. # ``` # -# # See [Mesh creation](../inversion/mesh_design.ipynb) section for general details on the parameters. # # ## Scalar inversion (susceptibility) # -# The airborne magnetic data were inverted over a range of uncertainties in order to achieve an adequate data fit. Following the smooth solution, a series of IRLS iterations were performed to recover an alternate, more compact model. The following figure shows sections through the recovered models and compares the observed and predicted data. +# **Runtime: ~1 min** # +# As a first pass, we invert the data with default parameters shown in [Figure X](data_input). We use a constant 25 nT floor uncertainty, determined empirically to achieve good fit. # -# ```{figure} ./images/mag_model_TOP.png +# ```{figure} ./images/data_input.png # --- # height: 400px # -# name: mag_model_TOP +# name: mag_default +# --- +# (Top) (left) Observed and (right) predicted data after convergence of the L2 (smooth) solution. Most of the data is well recovered. +# +# (Bottom) Horizontal slice at 255 m elevation for (left) the smooth and (right) compact magnetization models. +# ``` +# +# Following the smooth solution, a series of IRLS iterations were performed to recover an alternate, more compact model. The following figure shows sections through the recovered models and compares the observed and predicted data. +# +# +# ```{figure} ./images/data_input.png +# --- +# height: 400px +# +# name: mag_default # --- # (Top) (left) Observed and (right) predicted data after convergence of the L2 (smooth) solution. Most of the data is well recovered. # # (Bottom) Horizontal slice at 255 m elevation for (left) the smooth and (right) compact magnetization models. # ``` # +# +# ### No reference model +# +# From our previous attempt, we note that large portions of the model, in the padding cells and at depth, have no anomalies. All the magnetic signal is confined to a region directly below the survey lines. This is somewhat surprising given the large East-West trend in the data, which would be better explain by a large body extending beyond the extent of our survey. +# As a second pass, we test whether our initial assumption of a uniform 0 susceptibility model is adequate ([Figure X]()) +# +# The recovered model shown in [Figure X](data_input) generally agrees with the position of the strongly magnetic ore body, but changes greatly outside the survey area. Since we have not imposed any constraints on the background value, the inversion is free to extend the anomaly both at depth and in the padding region. +# +# +# [To be continued with detrending and regional removal] # ## Magnetic vector inversion (MVI) # From 1603698437f129b3505245baf7c7c1bd84c30ea7 Mon Sep 17 00:00:00 2001 From: SophieCurinier Date: Wed, 24 Jul 2024 14:44:02 -0400 Subject: [PATCH 074/350] [DEVOPS-452] Add ruff and update pre-commit-hooks version --- .pre-commit-config.yaml | 26 +++++++++++--------------- 1 file changed, 11 insertions(+), 15 deletions(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index bf55c31f..9b0b2782 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -21,21 +21,17 @@ repos: hooks: - id: isort additional_dependencies: [tomli] # to read config from pyproject.toml -- repo: https://github.com/psf/black - rev: 24.4.2 +- repo: https://github.com/astral-sh/ruff-pre-commit + rev: v0.5.4 hooks: - - id: black -- repo: https://github.com/PyCQA/flake8 - rev: 7.0.0 - hooks: - - id: flake8 -- repo: https://github.com/asottile/pyupgrade - rev: v3.15.2 - hooks: - - id: pyupgrade - args: [--py310-plus] -#- repo: https://github.com/pre-commit/mirrors-mypy # TODO: fix mypy errors -# rev: v1.10.0 + - id: ruff + args: + - --fix + - --exit-non-zero-on-fix +# - --unsafe-fixes + - id: ruff-format +# - repo: https://github.com/pre-commit/mirrors-mypy # TODO: fix mypy errors +# rev: v1.11.0 # hooks: # - id: mypy # additional_dependencies: [ @@ -50,7 +46,7 @@ repos: hooks: - id: relint args: [-W] # to fail on warnings -- repo: http://github.com/MiraGeoscience/pre-commit-hooks +- repo: https://github.com/MiraGeoscience/pre-commit-hooks rev: v1.0.0 hooks: - id: check-copyright From 4a751334d43dfc34bf5a162296e5b44fbc1ab345 Mon Sep 17 00:00:00 2001 From: SophieCurinier Date: Wed, 24 Jul 2024 14:45:02 -0400 Subject: [PATCH 075/350] [DEVOPS-452] Ruff's fixes --- simpeg_drivers/components/data.py | 6 +++--- simpeg_drivers/components/factories/misfit_factory.py | 4 +--- simpeg_drivers/components/factories/survey_factory.py | 1 - simpeg_drivers/utils/utils.py | 6 ++---- tests/params_test.py | 6 ++---- 5 files changed, 8 insertions(+), 15 deletions(-) diff --git a/simpeg_drivers/components/data.py b/simpeg_drivers/components/data.py index 8e49c428..7e038645 100644 --- a/simpeg_drivers/components/data.py +++ b/simpeg_drivers/components/data.py @@ -231,9 +231,9 @@ def save_data(self, entity): data_channel, f"{basename}_{component}" ) if not self.params.forward_only: - self._observed_data_types[component][ - f"[{ind}]" - ] = data_channel.entity_type + self._observed_data_types[component][f"[{ind}]"] = ( + data_channel.entity_type + ) uncerts = np.abs( self.uncertainties[component][channel].copy() / self.normalizations[channel][component] diff --git a/simpeg_drivers/components/factories/misfit_factory.py b/simpeg_drivers/components/factories/misfit_factory.py index b01572a3..6ef2a9cf 100644 --- a/simpeg_drivers/components/factories/misfit_factory.py +++ b/simpeg_drivers/components/factories/misfit_factory.py @@ -46,9 +46,7 @@ def __init__(self, params: BaseParams, models=None): def concrete_object(self): return objective_function.ComboObjectiveFunction - def build( - self, tiles, inversion_data, mesh, active_cells - ): # pylint: disable=arguments-differ + def build(self, tiles, inversion_data, mesh, active_cells): # pylint: disable=arguments-differ global_misfit = super().build( tiles=tiles, inversion_data=inversion_data, diff --git a/simpeg_drivers/components/factories/survey_factory.py b/simpeg_drivers/components/factories/survey_factory.py index bd561116..96c71cf9 100644 --- a/simpeg_drivers/components/factories/survey_factory.py +++ b/simpeg_drivers/components/factories/survey_factory.py @@ -337,7 +337,6 @@ def _tdem_arguments(self, data=None, local_index=None, mesh=None): transmitters = receivers.transmitters if isinstance(transmitters, LargeLoopGroundTEMTransmitters): - if receivers.tx_id_property is None: raise ValueError( "Transmitter ID property required for LargeLoopGroundTEMReceivers" diff --git a/simpeg_drivers/utils/utils.py b/simpeg_drivers/utils/utils.py index 1a3dac72..93a5779c 100644 --- a/simpeg_drivers/utils/utils.py +++ b/simpeg_drivers/utils/utils.py @@ -260,10 +260,8 @@ def drape_to_octree( if method == "nearest": octree_model.append(datum[0].values) else: - lookup_inds = ( - mesh._get_containing_cell_indexes( # pylint: disable=W0212 - model.centroids - ) + lookup_inds = mesh._get_containing_cell_indexes( # pylint: disable=W0212 + model.centroids ) octree_model[lookup_inds] = datum[0].values diff --git a/tests/params_test.py b/tests/params_test.py index 0de717ed..622711d7 100644 --- a/tests/params_test.py +++ b/tests/params_test.py @@ -455,11 +455,9 @@ def test_validate_receivers_radar_drape(mvi_params): ("n_cpu", 12, "test", "type"), ], ) -def test_validate_inversion_parameters( - mvi_params, param, newval, value, error_type -): # pylint: disable=expression-not-assigned +def test_validate_inversion_parameters(mvi_params, param, newval, value, error_type): # pylint: disable=expression-not-assigned param_test_generator(mvi_params, param, newval) - catch_invalid_generator(mvi_params, param, value, error_type), + (catch_invalid_generator(mvi_params, param, value, error_type),) def test_validate_geoh5(mvi_params): From a6bef03bc9872e0967f39c0cba2c245fde1b776f Mon Sep 17 00:00:00 2001 From: dominiquef Date: Thu, 25 Jul 2024 16:03:52 -0700 Subject: [PATCH 076/350] Bulk update --- docs/case_study/background.ipynb | 28 ++-- docs/case_study/background.py | 25 ++- docs/case_study/dc_resistivity.ipynb | 123 ++++++++++++--- docs/case_study/dc_resistivity.py | 112 +++++++++++--- docs/case_study/gravity.ipynb | 143 +++++++++++++----- docs/case_study/gravity.py | 119 +++++++++++---- docs/case_study/images/DCR_data.png | Bin 29578 -> 0 bytes docs/case_study/images/GG_data.png | Bin 67533 -> 0 bytes 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b/docs/case_study/background.ipynb @@ -2,12 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "6a84bad2", + "id": "28f4c722", "metadata": {}, "source": [ "

    \n", "\n", - "# The Set Up\n", + "# Introduction\n", + "\n", "\n", "This tutorial on geophysical inversion is framed around a well-known copper-zinc VMS deposit - the Flin Flon mine in northern Manitoba, Canada. Our goal is to provided a step-by-step process to invert data from various geophysical methods and to test their resolving capabilities within a semi-realistic exploration context.\n", "\n", @@ -16,13 +17,14 @@ "height: 400px\n", "name: setup_flinflon\n", "---\n", - "Discrete geological and physical properties for the simplified Flin Flon model.\n", + "Discrete geological and physical properties for the simplified [Flin Flon model](https://github.com/MiraGeoscience/simpeg-drivers/blob/develop/simpeg_drivers-assets/inversion_demo.geoh5).\n", + "\n", "```\n", "\n", - "The local geology of Flin Flon consists mainly of basalt and mafic volcanic formations (green and blue), with discrete occurrences of rhyolite units (yellow) that host the mineralization as shown in [Figure X](setup_flinflon).\n", + "The local geology of Flin Flon consists mainly of basalt and mafic volcanic formations (green and blue), with discrete occurrences of rhyolite units (yellow) that host the mineralization as shown in [Figure 6](setup_flinflon).\n", "The entire region was later deformed by large tectonic events that over-thursted, folded and faulted the stratigraphy in its current form. The mineralization occurs along thin lences dipping steeply towards the South-East.\n", "\n", - "The area has been studied extensively over the years, yielding large amount of petrophysical data made available by [Natural Resources Canada (NRCan)](https://ostrnrcan-dostrncan.canada.ca/entities/publication/73d767d8-ee1c-4bab-a2da-52dcf83faa06), as shown in [Figure 3](global_map).\n", + "The area has been studied extensively over the years, yielding large amount of petrophysical data made available by [Natural Resources Canada (NRCan)](https://ostrnrcan-dostrncan.canada.ca/entities/publication/73d767d8-ee1c-4bab-a2da-52dcf83faa06), as shown in [Figure 7](global_map).\n", "\n", "```{figure} ./images/map_flinflon.png\n", "---\n", @@ -51,26 +53,16 @@ "\n", "```\n", "\n", - "From this simplified (conceptual) model of Flin Flon, we created a 3D petrophysical model around the mineralization [Figure X](ore_body). We added a thick (40 m) overburden layer (tailings) of relatively low density and low resistivity to test the depth of penetration of the various survey types. \n", + "From this simplified (conceptual) model of Flin Flon, we created a 3D petrophysical model around the mineralization [Figure 8](ore_body). We added a thick (40 m) overburden layer (tailings) of relatively low density and low resistivity to test the depth of penetration of the various survey types.\n", "```{figure} ./images/ore_body.png\n", "---\n", "height: 400px\n", "name: ore_body\n", "---\n", - "Discrete geological and physical properties for the simplified Flin Flon model [Download here](https://github.com/MiraGeoscience/simpeg-drivers/blob/develop/simpeg_drivers-assets/inversion_demo.geoh5).\n", + "Discrete geological and physical properties for the simplified [Flin Flon model](https://github.com/MiraGeoscience/simpeg-drivers/blob/develop/simpeg_drivers-assets/inversion_demo.geoh5).\n", "```\n", "\n", - "This model was used to generate all the synthetic data used in this tutorial. [Figure X](project_area) shows the layout of the various ground and airborne surveys used in this tutorial.\n", - "\n", - "\n", - "```{figure} ./images/project_area.png\n", - "\n", - "---\n", - "scale: 50%\n", - "name: project_area\n", - "---\n", - "Data coverage for the ground gravity (black), airborne gravity gradiometry (red), airborne magnetics and tipper (green) and direct-current (blue) surveys. Outline of the ore shell (gray) is shown for reference.\n", - "```" + "This model was used to generate all the synthetic data used in this tutorial.\n" ] } ], diff --git a/docs/case_study/background.py b/docs/case_study/background.py index 29421548..04e1a71b 100644 --- a/docs/case_study/background.py +++ b/docs/case_study/background.py @@ -14,7 +14,8 @@ #

    # -# # The Set Up +# # Introduction +# # # This tutorial on geophysical inversion is framed around a well-known copper-zinc VMS deposit - the Flin Flon mine in northern Manitoba, Canada. Our goal is to provided a step-by-step process to invert data from various geophysical methods and to test their resolving capabilities within a semi-realistic exploration context. # @@ -23,13 +24,14 @@ # height: 400px # name: setup_flinflon # --- -# Discrete geological and physical properties for the simplified Flin Flon model. +# Discrete geological and physical properties for the simplified [Flin Flon model](https://github.com/MiraGeoscience/simpeg-drivers/blob/develop/simpeg_drivers-assets/inversion_demo.geoh5). +# # ``` # -# The local geology of Flin Flon consists mainly of basalt and mafic volcanic formations (green and blue), with discrete occurrences of rhyolite units (yellow) that host the mineralization as shown in [Figure X](setup_flinflon). +# The local geology of Flin Flon consists mainly of basalt and mafic volcanic formations (green and blue), with discrete occurrences of rhyolite units (yellow) that host the mineralization as shown in [Figure 6](setup_flinflon). # The entire region was later deformed by large tectonic events that over-thursted, folded and faulted the stratigraphy in its current form. The mineralization occurs along thin lences dipping steeply towards the South-East. # -# The area has been studied extensively over the years, yielding large amount of petrophysical data made available by [Natural Resources Canada (NRCan)](https://ostrnrcan-dostrncan.canada.ca/entities/publication/73d767d8-ee1c-4bab-a2da-52dcf83faa06), as shown in [Figure 3](global_map). +# The area has been studied extensively over the years, yielding large amount of petrophysical data made available by [Natural Resources Canada (NRCan)](https://ostrnrcan-dostrncan.canada.ca/entities/publication/73d767d8-ee1c-4bab-a2da-52dcf83faa06), as shown in [Figure 7](global_map). # # ```{figure} ./images/map_flinflon.png # --- @@ -58,23 +60,14 @@ # # ``` # -# From this simplified (conceptual) model of Flin Flon, we created a 3D petrophysical model around the mineralization [Figure X](ore_body). We added a thick (40 m) overburden layer (tailings) of relatively low density and low resistivity to test the depth of penetration of the various survey types. +# From this simplified (conceptual) model of Flin Flon, we created a 3D petrophysical model around the mineralization [Figure 8](ore_body). We added a thick (40 m) overburden layer (tailings) of relatively low density and low resistivity to test the depth of penetration of the various survey types. # ```{figure} ./images/ore_body.png # --- # height: 400px # name: ore_body # --- -# Discrete geological and physical properties for the simplified Flin Flon model [Download here](https://github.com/MiraGeoscience/simpeg-drivers/blob/develop/simpeg_drivers-assets/inversion_demo.geoh5). +# Discrete geological and physical properties for the simplified [Flin Flon model](https://github.com/MiraGeoscience/simpeg-drivers/blob/develop/simpeg_drivers-assets/inversion_demo.geoh5). # ``` # -# This model was used to generate all the synthetic data used in this tutorial. [Figure X](project_area) shows the layout of the various ground and airborne surveys used in this tutorial. -# -# -# ```{figure} ./images/project_area.png +# This model was used to generate all the synthetic data used in this tutorial. # -# --- -# scale: 50% -# name: project_area -# --- -# Data coverage for the ground gravity (black), airborne gravity gradiometry (red), airborne magnetics and tipper (green) and direct-current (blue) surveys. Outline of the ore shell (gray) is shown for reference. -# ``` diff --git a/docs/case_study/dc_resistivity.ipynb b/docs/case_study/dc_resistivity.ipynb index 8b97436e..a8764fff 100644 --- a/docs/case_study/dc_resistivity.ipynb +++ b/docs/case_study/dc_resistivity.ipynb @@ -2,21 +2,31 @@ "cells": [ { "cell_type": "markdown", - "id": "66a76dc3", + "id": "597e0c74", "metadata": {}, "source": [ "

    \n", "\n", - "# Direct-current Resistivity Inversion\n", + "# Direct-current (DC) Resistivity Inversion\n", "\n", - "This section focuses on the inversion of direct-current (DC) resistivity data using a conventional dipole-dipole array.\n", + "\n", + "This section focuses on the inversion of direct-current (DC) resistivity data generated from the Flin Flon resistivity model.\n", + "\n", + "```{figure} ./images/dc/dc_model.png\n", + "---\n", + "scale: 25%\n", + "\n", + "name: dc_model\n", + "---\n", + "[Download here](https://github.com/MiraGeoscience/simpeg-drivers/blob/develop/simpeg_drivers-assets/inversion_demo.geoh5)\n", + "```\n", "\n", "

    " ] }, { "cell_type": "markdown", - "id": "550546a1", + "id": "2029f20d", "metadata": {}, "source": [ "(dc-data)=\n", @@ -25,45 +35,118 @@ "\n", "A ground dipole-dipole survey was simulated over the main ore body. The survey was acquired with 40 m dipole length, data measured on seven receivers per transmitter dipole. Line separation was set to 100 m ([Figure 5](dc_topo)).\n", "\n", - "```{figure} ./images/DCR_data.png\n", + "The following parameters were used for the forward simulation:\n", + "\n", + "```{figure} ./images/dc/dc_forward.png\n", "---\n", "scale: 50%\n", - "name: dc_topo\n", + "name: dc_forward\n", "---\n", - "Pseudo-sections of apparent resisitvity and topography from the SRTM elevation model.\n", "```\n", "\n", - "Note the large contrast in apparent resistivity between the western and eastern regions of the survey. This can be explained by a conductive tailing layer West of the deposit.\n", + "Note the large contrast in apparent resistivity near surface between the western and eastern regions of the survey. This can be explained by a conductive alluvium layer West of the deposit. Lower apparent resistivities are also measured on the longer offsets over the ore body, hinting at a buried conductor.\n", "\n", - "

    " + "\n", + "```{figure} ./images/dc/dc_data.png\n", + "---\n", + "scale: 50%\n", + "name: dc_data\n", + "---\n", + "Pseudo-sections of apparent resisitvity. Ore shell is shown in reference.\n", + "```" ] }, { "cell_type": "markdown", - "id": "25114dac", + "id": "ea3d0e95", + "metadata": {}, + "source": [ + "## Mesh creation\n", + "\n", + "In preparation for the inversion, we create an octree mesh optimized for the DC resistivity survey. The survey is made of two objects: a `Currents` (sources) and a `Potentials` (receivers). In order to have good discretization around all pole locations, we first need to create an object that includes both components.\n", + "\n", + "```{figure} ./images/dc/dc_poles.png\n", + "---\n", + "scale: 50%\n", + "name: dc_poles\n", + "```\n", + "\n", + "In the case of electric methods, the finest cell dimension should be at least half the dipole separation to guarantee that no two poles fall within the same mesh cell. This is important to assure good accuracy when computing voltage differences.\n", + "We define our core param are as follow:\n", + "\n", + "```{figure} ./images/dc/dc_core.png\n", + "---\n", + "scale: 50%\n", + "name: dc_core\n", + "---\n", + "Core mesh parameters.\n", + "```\n", + "\n", + "- The first refinement adds more cells around each pole location, radially outward. This assures good numerical accuracy, espatially on the outer boundary of the survey area. \n", + "\n", + "- A second refinement is used along topography to get a coarse but continuous air-ground interface outside the area or interest.\n", + "\n", + "- The third refinement \"horizon\" is used to get a core region at depth with increasing cell size directly below the survey. This is our volume of interest most strongly influence by the data. We use a maximum distance of 100 m to limit the refinement away from the survey lines. In the case of remote electrodes, this parameter prevents from discretization finely everywhere in between.\n", + "\n", + "\n", + "```{figure} ./images/dc/dc_refinement.png\n", + "---\n", + "scale: 50%\n", + "name: dc_refinement\n", + "---\n", + "Refinement strategy used for the direct-current modeling.\n", + "```\n", + "\n", + "See [Mesh creation](../inversion/mesh_design.ipynb) section for general details on the parameters.\n" + ] + }, + { + "cell_type": "markdown", + "id": "5a952cf6", "metadata": {}, "source": [ "## Unconstrained Inversion\n", "\n", - "The direct-current data are inverted with uncertainties assigned based on a background resistivity value, then converted to potentials.\n", + "The direct-current data are inverted with uncertainties assigned based on a background resistivity value, then converted to potentials. This strategy is effective in scaling uncertainties relative to the dipole offsets.\n", + "\n", + "1 - Create a constant resistivity value, set empirically in this case to 100 Ohm.m\n", + "\n", + "```{figure} ./images/dc/dc_floor_res.png\n", + "---\n", + "scale: 50%\n", + "---\n", + "```\n", + "\n", + "2- Convert the \"floor resistivity\" to voltages. The result needs to be absolute valued in order to be assigned as data uncertainties.\n", + "\n", + "```{figure} ./images/dc/dc_floor_voltage.png\n", + "---\n", + "scale: 50%\n", + "---\n", + "```\n", + "\n", + "Having defined our uncertainties, we can proceed with the inversion.\n", "\n", - "[Add details]\n", + "\n", + "```{figure} ./images/dc/dc_input.png\n", + "---\n", + "scale: 50%\n", + "---\n", + "```\n", "\n", "The following figure shows the data fit and models recovered after convergence.\n", "\n", - "```{figure} ./images/dc_model_TOP.png\n", + "```{figure} ./images/dc/dc_no_ref.png\n", "---\n", - "height: 400px\n", - "name: dc_model_TOP.png\n", + "name: dc_no_ref.png\n", "---\n", - "(Top) (left) Observed and (right) predicted apparent resistivity data after convergence.\n", + "(Top) (left) Predicted and (right) residuals data after reaching target misfit (iteration 11).\n", "\n", - "(Bottom)\n", - "(Left) Horizontal section at 240 m elevation through the compact density model.\n", - "(Right) Vertical NS section through the recovered smooth resistivity model.\n", + "(Bottom) Slices through the recovered conductivity model: (left) at 175 m elevation and (right) at 6072150 m N.\n", "```\n", + "The data is generally explained well, although some correlated residuals are visible. This could warrant a second run with a slightly lower target `Chi factor` to push the data fit further.\n", "\n", - "We note a large contrast in conductivity in plan view, mostly limited as near-surface layer. This feature can be explained by the conductive tailings.\n", + "On the modelling side, we note a large conductivity anomaly correlated with the ore body. The survey is able to define well the depth to top of the conductor but not the vertical extent. The inversion did identify the near-surface layers related to the conductive alluvium layer (West), which is slightly more conductive than the overburden layer (East).\n", "\n", "

    " ] diff --git a/docs/case_study/dc_resistivity.py b/docs/case_study/dc_resistivity.py index 2aea0d49..a9086cc8 100644 --- a/docs/case_study/dc_resistivity.py +++ b/docs/case_study/dc_resistivity.py @@ -14,9 +14,19 @@ #

    # -# # Direct-current Resistivity Inversion +# # Direct-current (DC) Resistivity Inversion # -# This section focuses on the inversion of direct-current (DC) resistivity data using a conventional dipole-dipole array. +# +# This section focuses on the inversion of direct-current (DC) resistivity data generated from the Flin Flon resistivity model. +# +# ```{figure} ./images/dc/dc_model.png +# --- +# scale: 25% +# +# name: dc_model +# --- +# [Download here](https://github.com/MiraGeoscience/simpeg-drivers/blob/develop/simpeg_drivers-assets/inversion_demo.geoh5) +# ``` # #

    @@ -26,38 +36,106 @@ # # A ground dipole-dipole survey was simulated over the main ore body. The survey was acquired with 40 m dipole length, data measured on seven receivers per transmitter dipole. Line separation was set to 100 m ([Figure 5](dc_topo)). # -# ```{figure} ./images/DCR_data.png +# The following parameters were used for the forward simulation: +# +# ```{figure} ./images/dc/dc_forward.png # --- # scale: 50% -# name: dc_topo +# name: dc_forward # --- -# Pseudo-sections of apparent resisitvity and topography from the SRTM elevation model. # ``` # -# Note the large contrast in apparent resistivity between the western and eastern regions of the survey. This can be explained by a conductive tailing layer West of the deposit. +# Note the large contrast in apparent resistivity near surface between the western and eastern regions of the survey. This can be explained by a conductive alluvium layer West of the deposit. Lower apparent resistivities are also measured on the longer offsets over the ore body, hinting at a buried conductor. +# +# +# ```{figure} ./images/dc/dc_data.png +# --- +# scale: 50% +# name: dc_data +# --- +# Pseudo-sections of apparent resisitvity. Ore shell is shown in reference. +# ``` + +# ## Mesh creation +# +# In preparation for the inversion, we create an octree mesh optimized for the DC resistivity survey. The survey is made of two objects: a `Currents` (sources) and a `Potentials` (receivers). In order to have good discretization around all pole locations, we first need to create an object that includes both components. +# +# ```{figure} ./images/dc/dc_poles.png +# --- +# scale: 50% +# name: dc_poles +# ``` +# +# In the case of electric methods, the finest cell dimension should be at least half the dipole separation to guarantee that no two poles fall within the same mesh cell. This is important to assure good accuracy when computing voltage differences. +# We define our core param are as follow: +# +# ```{figure} ./images/dc/dc_core.png +# --- +# scale: 50% +# name: dc_core +# --- +# Core mesh parameters. +# ``` +# +# - The first refinement adds more cells around each pole location, radially outward. This assures good numerical accuracy, espatially on the outer boundary of the survey area. +# +# - A second refinement is used along topography to get a coarse but continuous air-ground interface outside the area or interest. +# +# - The third refinement "horizon" is used to get a core region at depth with increasing cell size directly below the survey. This is our volume of interest most strongly influence by the data. We use a maximum distance of 100 m to limit the refinement away from the survey lines. In the case of remote electrodes, this parameter prevents from discretization finely everywhere in between. +# +# +# ```{figure} ./images/dc/dc_refinement.png +# --- +# scale: 50% +# name: dc_refinement +# --- +# Refinement strategy used for the direct-current modeling. +# ``` +# +# See [Mesh creation](../inversion/mesh_design.ipynb) section for general details on the parameters. # -#

    # ## Unconstrained Inversion # -# The direct-current data are inverted with uncertainties assigned based on a background resistivity value, then converted to potentials. +# The direct-current data are inverted with uncertainties assigned based on a background resistivity value, then converted to potentials. This strategy is effective in scaling uncertainties relative to the dipole offsets. # -# [Add details] +# 1 - Create a constant resistivity value, set empirically in this case to 100 Ohm.m +# +# ```{figure} ./images/dc/dc_floor_res.png +# --- +# scale: 50% +# --- +# ``` +# +# 2- Convert the "floor resistivity" to voltages. The result needs to be absolute valued in order to be assigned as data uncertainties. +# +# ```{figure} ./images/dc/dc_floor_voltage.png +# --- +# scale: 50% +# --- +# ``` +# +# Having defined our uncertainties, we can proceed with the inversion. +# +# +# ```{figure} ./images/dc/dc_input.png +# --- +# scale: 50% +# --- +# ``` # # The following figure shows the data fit and models recovered after convergence. # -# ```{figure} ./images/dc_model_TOP.png +# ```{figure} ./images/dc/dc_no_ref.png # --- -# height: 400px -# name: dc_model_TOP.png +# name: dc_no_ref.png # --- -# (Top) (left) Observed and (right) predicted apparent resistivity data after convergence. +# (Top) (left) Predicted and (right) residuals data after reaching target misfit (iteration 11). # -# (Bottom) -# (Left) Horizontal section at 240 m elevation through the compact density model. -# (Right) Vertical NS section through the recovered smooth resistivity model. +# (Bottom) Slices through the recovered conductivity model: (left) at 175 m elevation and (right) at 6072150 m N. # ``` +# The data is generally explained well, although some correlated residuals are visible. This could warrant a second run with a slightly lower target `Chi factor` to push the data fit further. # -# We note a large contrast in conductivity in plan view, mostly limited as near-surface layer. This feature can be explained by the conductive tailings. +# On the modelling side, we note a large conductivity anomaly correlated with the ore body. The survey is able to define well the depth to top of the conductor but not the vertical extent. The inversion did identify the near-surface layers related to the conductive alluvium layer (West), which is slightly more conductive than the overburden layer (East). # #

    diff --git a/docs/case_study/gravity.ipynb b/docs/case_study/gravity.ipynb index e39199d0..dd4ea06b 100644 --- a/docs/case_study/gravity.ipynb +++ b/docs/case_study/gravity.ipynb @@ -2,14 +2,22 @@ "cells": [ { "cell_type": "markdown", - "id": "d34cea76", + "id": "3289cb90", "metadata": {}, "source": [ "

    \n", "\n", "# Gravity Inversion\n", "\n", - "This section focuses on the inversion of airborne tensor and ground gravity data.\n", + "This section focuses on the inversion of airborne tensor and ground gravity data generated from the Flin Flon density model.\n", + "\n", + "```{figure} ./images/gravity/grav_model.png\n", + "---\n", + "scale: 25%\n", + "name: grav_model\n", + "---\n", + "[Download here](https://github.com/MiraGeoscience/simpeg-drivers/blob/develop/simpeg_drivers-assets/inversion_demo.geoh5)\n", + "```\n", "\n", "\n", "\n", @@ -18,16 +26,25 @@ }, { "cell_type": "markdown", - "id": "99eafc35", + "id": "489bc5a7", "metadata": {}, "source": [ - "## Ground gravity data\n", + "## Forward simulation\n", "\n", + "A ground gravity survey was simulated on sparsely sampled 200 m grid of stations.\n", + "\n", + "The following parameters were used for the forward simulation:\n", + "\n", + "```{figure} ./images/gravity/grav_forward.png\n", + "---\n", + "scale: 50%\n", + "name: grav_forward\n", + "---\n", + "```\n", "\n", - "A ground gravity survey was simulated on sparsely sampled 200 m grid of stations. The data are provided a terrain corrected with\n", - "reference density of 2.67 g/cc.\n", + "After running the forward simulation, we obtain gravity corrected data as shown in [Figure 14](gz_data). The data are provided a terrain corrected with reference density of 2.67 g/cc. The gravity survey appears to be mostly influenced by the large formations, with little signal apparent from the ore body.\n", "\n", - "```{figure} ./images/GZ_data.png\n", + "```{figure} ./images/gravity/gz_data.png\n", "---\n", "scale: 50%\n", "name: gz_data\n", @@ -38,79 +55,137 @@ }, { "cell_type": "markdown", - "id": "00f464ef", + "id": "3e9e475d", "metadata": {}, "source": [ - "## Unconstrained ground gravity\n", + "## Mesh creation\n", "\n", - "The ground gravity data (terrain corrected at 2.67 g/cc) were also inverted in the same fashion. A floor uncertainty value of 0.05 mGal was assigned.\n", + "In preparation for the inversion, we create an octree mesh optimized for the gravity survey.\n", "\n", + "The core param are as follow:\n", "\n", + "```{figure} ./images/magnetics/mesh_core.png\n", + "---\n", + "scale: 50%\n", + "name: mag_core\n", + "---\n", + "Core mesh parameters.\n", + "```\n", "\n", - "```{figure} ./images/ground_grav_model_TOP.png\n", + "- The first refinement \"horizon\" is used to get a core region at depth with increasing cell size directly below the survey. This is our volume of interest most strongly influence by the data. We use a maximum distance of 100 m to limit the refinement near each station.\n", + "\n", + "- A second refinement is used along topography to get a coarse but continuous air-ground interface outside the area or interest.\n", + "\n", + "\n", + "```{figure} ./images/magnetics/mesh_refinement.png\n", "---\n", - "height: 400px\n", - "name: ground_grav_model_TOP\n", + "scale: 50%\n", + "name: mag_refinement\n", "---\n", - "(Top) (left) Observed and (right) predicted gz data after convergence of the L2 (smooth) solution. Most of the data is well recovered.\n", + "Refinement strategy used for the magnetic modeling.\n", + "```\n", + "\n", + "See [Mesh creation](../inversion/mesh_design.ipynb) section for general details on the parameters.\n" + ] + }, + { + "cell_type": "markdown", + "id": "a9d41d9a", + "metadata": {}, + "source": [ + "## Ground gravity\n", + "\n", + "The ground gravity data are assigned a constant floor uncertainty value of 0.1 mGal. We apply the the following inversion parameters:\n", "\n", - "(Bottom) Horizontal slice for (left) the smooth and (right) L1-norm density contrast models.\n", + "```{figure} ./images/gravity/gz_input.png\n", + "---\n", + "scale: 50%\n", + "name: gz_input\n", + "---\n", "```\n", "\n", - "[Add more here]\n", + "After running the inversion we obtain:\n", + "\n", "\n", - "We note a slight correlation to the shape of the known ore body\n" + "```{figure} ./images/gravity/gz_no_ref.png\n", + "---\n", + "name: gz_no_ref\n", + "\n", + "---\n", + "(Top) (left) Predicted and (right) residuals data after reaching target misfit (iteration 5).\n", + "\n", + "(Bottom) Slices through the recovered relative density model: (left) at 175 m elevation and (right) at 6072150 m N.\n", + "Ore shell is shown for reference.\n", + "```\n", + "\n", + "Notice that the inversion resolves the boundaries between the rhyolite unit and host mafic units, but poorly recovers the ore body. That is, the ore body does not generate a gravity anomaly strong enough within the host geology to be detected by the ground gravity survey." ] }, { "cell_type": "markdown", - "id": "5576b176", + "id": "5a55da49", "metadata": {}, "source": [ "(ftg-data)=\n", "\n", "## Tensor gravity gradiometry (FTG)\n", "\n", - "An airborne fixed-wing full-tensor gravity gradiometry (FTG) survey was simulated at a nominal drape height of 60 m above topography.\n", + "We now look at the airborne fixed-wing full-tensor gravity gradiometry (FTG) data. The FTG system measures six independent components of the gradient tensor: $g_{xx},\\; g_{xy},\\; g_{xz},\\; g_{yy},\\; g_{yz}$ and $g_{zz}$. We generate a survey flown at 45 degree azimuth, 200 m line spacing, at a nominal drape height of 60 m above topography.\n", "\n", - "The FTG system measures six independent components of the gradient tensor: $g_{xx},\\; g_{xy},\\; g_{xz},\\; g_{yy},\\; g_{yz}$ and $g_{zz}$. Data were leveled, free-air and terrain corrected with 2.67 g/cc reference density.\n", + "Using the same relative density model as previously, we run the forward simulation and obtain terrain-corrected data show below.\n", "\n", "\n", - "```{figure} ./images/GG_data.png\n", + "```{figure} ./images/gravity/gg_data.png\n", "---\n", - "scale: 50%\n", - "name: ftg_data\n", + "name: gg_data\n", + "\n", "---\n", - "(Top) Components of the gravity gradiometry data measured over the zone of interest. (Bottom) The green and red marker indicate the flight direction.\n", - "```\n" + "(Top) Components of the gravity gradiometry data measured over the zone of interest. (Bottom) Plan view of the density model and flight lines. The green and red marker indicate the flight direction.\n", + "```\n", + "\n" ] }, { "cell_type": "markdown", - "id": "68b36693", + "id": "44e02efb", "metadata": {}, "source": [ "## Unconstrained FTG\n", "\n", - "The airborne tensor gravity data (terrain corrected at 2.67 g/cc) were also inverted in the same fashion. A floor uncertainty value of 0.2 Eotvos was assigned to all the components.\n", - "\n", + "We repeat the same inverse process as for the ground gravity data, but this time with the airborne survey. A floor uncertainty value of 0.1 Eotvos was assigned to all the components. After running the inversion with obtain.\n", "\n", "\n", - "```{figure} ./images/grav_gradio_model_TOP.png\n", + "```{figure} ./images/gravity/gg_no_ref.png\n", "---\n", - "height: 400px\n", - "name: grav_gradio_model_TOP\n", + "name: gg_no_ref\n", + "\n", "---\n", - "(Top) (left) Observed and (right) predicted gxx data after convergence of the L2 (smooth) solution. Most of the data is well recovered.\n", + "(Top) (left) Predicted and (right) residuals data after reaching target misfit (iteration 7).\n", "\n", - "(Bottom) Horizontal slice for (left) the smooth and (right) L1-norm density contrast models.\n", + "(Bottom) Slices through the recovered relative density model: (left) at 175 m elevation and (right) at 6072150 m N.\n", + "Ore shell is shown for reference.\n", "```\n", "\n", - "We note a slight correlation to the shape of the known ore body\n", + "Just like the ground gravity result, the airborne inversion recovers well the boundary between the rhyolite and host mafic rocks. The ore body is also imaged on the top 200 m. In addition, we recover density structures within the Hidden Formation related to the overburden layer.\n", "\n", "\n", "

    " ] + }, + { + "cell_type": "markdown", + "id": "3a733de2", + "metadata": {}, + "source": [ + "## Detrending\n", + "\n", + "Section to explain different strategies for regional signal removal\n", + "\n", + "- Polynomial\n", + "\n", + "\n", + "- Scooping method" + ] } ], "metadata": { diff --git a/docs/case_study/gravity.py b/docs/case_study/gravity.py index 43d8456c..57ab30de 100644 --- a/docs/case_study/gravity.py +++ b/docs/case_study/gravity.py @@ -16,19 +16,36 @@ # # # Gravity Inversion # -# This section focuses on the inversion of airborne tensor and ground gravity data. +# This section focuses on the inversion of airborne tensor and ground gravity data generated from the Flin Flon density model. +# +# ```{figure} ./images/gravity/grav_model.png +# --- +# scale: 25% +# name: grav_model +# --- +# [Download here](https://github.com/MiraGeoscience/simpeg-drivers/blob/develop/simpeg_drivers-assets/inversion_demo.geoh5) +# ``` # # # #

    -# ## Ground gravity data +# ## Forward simulation # +# A ground gravity survey was simulated on sparsely sampled 200 m grid of stations. # -# A ground gravity survey was simulated on sparsely sampled 200 m grid of stations. The data are provided a terrain corrected with -# reference density of 2.67 g/cc. +# The following parameters were used for the forward simulation: # -# ```{figure} ./images/GZ_data.png +# ```{figure} ./images/gravity/grav_forward.png +# --- +# scale: 50% +# name: grav_forward +# --- +# ``` +# +# After running the forward simulation, we obtain gravity corrected data as shown in [Figure 14](gz_data). The data are provided a terrain corrected with reference density of 2.67 g/cc. The gravity survey appears to be mostly influenced by the large formations, with little signal apparent from the ore body. +# +# ```{figure} ./images/gravity/gz_data.png # --- # scale: 50% # name: gz_data @@ -37,62 +54,108 @@ # ``` # -# ## Unconstrained ground gravity +# ## Mesh creation # -# The ground gravity data (terrain corrected at 2.67 g/cc) were also inverted in the same fashion. A floor uncertainty value of 0.05 mGal was assigned. +# In preparation for the inversion, we create an octree mesh optimized for the gravity survey. # +# The core param are as follow: # +# ```{figure} ./images/magnetics/mesh_core.png +# --- +# scale: 50% +# name: mag_core +# --- +# Core mesh parameters. +# ``` +# +# - The first refinement "horizon" is used to get a core region at depth with increasing cell size directly below the survey. This is our volume of interest most strongly influence by the data. We use a maximum distance of 100 m to limit the refinement near each station. +# +# - A second refinement is used along topography to get a coarse but continuous air-ground interface outside the area or interest. # -# ```{figure} ./images/ground_grav_model_TOP.png +# +# ```{figure} ./images/magnetics/mesh_refinement.png # --- -# height: 400px -# name: ground_grav_model_TOP +# scale: 50% +# name: mag_refinement # --- -# (Top) (left) Observed and (right) predicted gz data after convergence of the L2 (smooth) solution. Most of the data is well recovered. +# Refinement strategy used for the magnetic modeling. +# ``` +# +# See [Mesh creation](../inversion/mesh_design.ipynb) section for general details on the parameters. +# + +# ## Ground gravity +# +# The ground gravity data are assigned a constant floor uncertainty value of 0.1 mGal. We apply the the following inversion parameters: # -# (Bottom) Horizontal slice for (left) the smooth and (right) L1-norm density contrast models. +# ```{figure} ./images/gravity/gz_input.png +# --- +# scale: 50% +# name: gz_input +# --- # ``` # -# [Add more here] +# After running the inversion we obtain: +# # -# We note a slight correlation to the shape of the known ore body +# ```{figure} ./images/gravity/gz_no_ref.png +# --- +# name: gz_no_ref +# +# --- +# (Top) (left) Predicted and (right) residuals data after reaching target misfit (iteration 5). +# +# (Bottom) Slices through the recovered relative density model: (left) at 175 m elevation and (right) at 6072150 m N. +# Ore shell is shown for reference. +# ``` # +# Notice that the inversion resolves the boundaries between the rhyolite unit and host mafic units, but poorly recovers the ore body. That is, the ore body does not generate a gravity anomaly strong enough within the host geology to be detected by the ground gravity survey. # (ftg-data)= # # ## Tensor gravity gradiometry (FTG) # -# An airborne fixed-wing full-tensor gravity gradiometry (FTG) survey was simulated at a nominal drape height of 60 m above topography. +# We now look at the airborne fixed-wing full-tensor gravity gradiometry (FTG) data. The FTG system measures six independent components of the gradient tensor: $g_{xx},\; g_{xy},\; g_{xz},\; g_{yy},\; g_{yz}$ and $g_{zz}$. We generate a survey flown at 45 degree azimuth, 200 m line spacing, at a nominal drape height of 60 m above topography. # -# The FTG system measures six independent components of the gradient tensor: $g_{xx},\; g_{xy},\; g_{xz},\; g_{yy},\; g_{yz}$ and $g_{zz}$. Data were leveled, free-air and terrain corrected with 2.67 g/cc reference density. +# Using the same relative density model as previously, we run the forward simulation and obtain terrain-corrected data show below. # # -# ```{figure} ./images/GG_data.png +# ```{figure} ./images/gravity/gg_data.png # --- -# scale: 50% -# name: ftg_data +# name: gg_data +# # --- -# (Top) Components of the gravity gradiometry data measured over the zone of interest. (Bottom) The green and red marker indicate the flight direction. +# (Top) Components of the gravity gradiometry data measured over the zone of interest. (Bottom) Plan view of the density model and flight lines. The green and red marker indicate the flight direction. # ``` # +# # ## Unconstrained FTG # -# The airborne tensor gravity data (terrain corrected at 2.67 g/cc) were also inverted in the same fashion. A floor uncertainty value of 0.2 Eotvos was assigned to all the components. +# We repeat the same inverse process as for the ground gravity data, but this time with the airborne survey. A floor uncertainty value of 0.1 Eotvos was assigned to all the components. After running the inversion with obtain. # # -# -# ```{figure} ./images/grav_gradio_model_TOP.png +# ```{figure} ./images/gravity/gg_no_ref.png # --- -# height: 400px -# name: grav_gradio_model_TOP +# name: gg_no_ref +# # --- -# (Top) (left) Observed and (right) predicted gxx data after convergence of the L2 (smooth) solution. Most of the data is well recovered. +# (Top) (left) Predicted and (right) residuals data after reaching target misfit (iteration 7). # -# (Bottom) Horizontal slice for (left) the smooth and (right) L1-norm density contrast models. +# (Bottom) Slices through the recovered relative density model: (left) at 175 m elevation and (right) at 6072150 m N. +# Ore shell is shown for reference. # ``` # -# We note a slight correlation to the shape of the known ore body +# Just like the ground gravity result, the airborne inversion recovers well the boundary between the rhyolite and host mafic rocks. The ore body is also imaged on the top 200 m. In addition, we recover density structures within the Hidden Formation related to the overburden layer. # # #

    + +# ## Detrending +# +# Section to explain different strategies for regional signal removal +# +# - Polynomial +# +# +# - Scooping method diff --git a/docs/case_study/images/DCR_data.png b/docs/case_study/images/DCR_data.png deleted file mode 100644 index cb82cf843d45b458f6bf24aa7834d0d7aa222a43..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 29578 zcmXtf2Rzl^|NkW<5;rR=x{{SEgsjXK(wgaEdBd`^AIui zc4&2zLRt`BU5n4?dRH$sF@o_y=wgy6A##lCIYQHFkeRnrNC+hDHqi)j`LK}&qJgf3 zKpq%ME4PrYh7j&Ej`*dd^yg4*nBhLe9_mg6vCW3MAl_zE$W79KPwf>x#ZVWbL8uTT zBzVl4(UoYBj__Z)aEu%ep)E8y0?Bb7i-gGSkz?f0;HzLvUmk=c95jxm2iI%~*V>;9 zCtn-Z!IHKf5=~P=AX#pfNDksQw*pEC2U4J@7NVdcO6WWh3{MOpwz2B{owcP0DPT74 zg+Ok76SlSd3_flLgEq-OFwsGU;WPr~a0tf(Yb_=0CLL5Pm8g&KWUDz@d@v=48|g1x zvy|&wmDe8CHnB&ULlu3plvL=tKMBO5`!|8PV!VfhUH@~lWw$)s=mo7+rA*bBd2n`a>KY~W&NO}0PL-)((#rzUXE0$S_37+x{*{)eo(2KX1=MOcP{ zE8!T3HUGK~8YP0tS^p#@AyIoVlN~{uSbFhjI^{g3=V*dDr-F!24WCX{W6KE-AsY%L=EK|f*;l0g#=CP(ibAp|=v;{^wdA_G 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F2>^$1-|PSY literal 0 HcmV?d00001 diff --git a/docs/case_study/introduction.ipynb b/docs/case_study/introduction.ipynb index debe6472..362154c1 100644 --- a/docs/case_study/introduction.ipynb +++ b/docs/case_study/introduction.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "8750a134", + "id": "b031a3b4", "metadata": {}, "source": [ "

      \n", diff --git a/docs/case_study/joint_inversion.ipynb b/docs/case_study/joint_inversion.ipynb index 02e51ef7..0d91b1a7 100644 --- a/docs/case_study/joint_inversion.ipynb +++ b/docs/case_study/joint_inversion.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "c682f5c2", + "id": "2e67cf84", "metadata": {}, "source": [ "# Joint Inversion\n", diff --git a/docs/case_study/magnetic.ipynb b/docs/case_study/magnetic.ipynb index ee3d7fee..925a864f 100644 --- a/docs/case_study/magnetic.ipynb +++ b/docs/case_study/magnetic.ipynb @@ -2,20 +2,24 @@ "cells": [ { "cell_type": "markdown", - "id": "516db7a4", + "id": "f40dc101", "metadata": {}, "source": [ "

      \n", "\n", "# Magnetic Inversion\n", "\n", - "This section focuses on the inversion of magnetic data using a scalar (susceptibility) and a magnetization (vector) approach generated from the Flin Flon magnetic model ([Figure X](mag_model).\n", + "This section focuses on the inversion of magnetic data using a scalar (susceptibility) and a magnetization (vector) approach generated from the Flin Flon magnetic model. We also cover some strategies on how to remove regional signal and the use of compact norms.\n", + "\n", + "\n", "\n", "```{figure} ./images/magnetics/mag_model.png\n", "---\n", - "scale: 50%\n", + "scale: 25%\n", + "\n", "name: mag_model\n", "---\n", + "[Download here](https://github.com/MiraGeoscience/simpeg-drivers/blob/develop/simpeg_drivers-assets/inversion_demo.geoh5)\n", "```\n", "\n", "\n", @@ -24,14 +28,14 @@ }, { "cell_type": "markdown", - "id": "eff25c3f", + "id": "4057654c", "metadata": {}, "source": [ "(magnetic-data)=\n", "\n", "## Forward simulation\n", "\n", - "We simulated Residual Magnetic Intensity (RMI) data along East-West lines at a 40 m drape height above topography. The line spacing was set to 200 m, with along-line data downsampled to 10 m.\n", + "We simulated Residual Magnetic Intensity (RMI) data along East-West lines spaced to 200 m apart, with along-line data downsampled to 10 m. The flight height is set to 40 m above topography.\n", "\n", "The following parameters were used for the forward simulation:\n", "\n", @@ -42,7 +46,9 @@ "---\n", "```\n", "\n", - "For simplicity, the simulation assumes a purely induced response. This is done by omitting to provide values/models for the magnetization inclination and declination. The inducing field parameters are used instead. After running the forward simulation, we obtain RMI data as shown in [Figure X](mag_data). We note the strong correlation between the amplitude of the signal and the horizontal position of the ore body. There is also a significant East-West trend due to the weakly magnetic but large Hidden Formation.\n", + "For simplicity, the simulation assumes a purely induced response. By omitting to supply values/models for the inclination and declination of magnetization, the forward routine uses the inducing field parameters instead. \n", + "\n", + "After running the forward simulation, we obtain RMI data as shown in [Figure 9](mag_data). We note the strong correlation between the amplitude of the signal and the horizontal position of the ore body. There is also a significant long wavelength East-West trend, due to the large but weakly magnetic Hidden Formation.\n", "\n", "\n", "```{figure} ./images/magnetics/MAG_data.png\n", @@ -58,26 +64,26 @@ }, { "cell_type": "markdown", - "id": "bcd98313", + "id": "0416d0b3", "metadata": {}, "source": [ "## Mesh creation\n", "\n", - "In preparation for the inversion, we create an octree mesh optimized for the magnetic survey. [Figure X]() shows the parameters used.\n", + "In preparation for the inversion, we create an octree mesh optimized for the magnetic survey. [Figure 10](mag_core) shows the parameters used.\n", "\n", "```{figure} ./images/magnetics/mesh_core.png\n", "---\n", "scale: 50%\n", - "name: mag_data\n", + "name: mag_core\n", "---\n", - "Residual magnetic intensity (RMI) data measured over the zone of interest.\n", + "Core mesh parameters.\n", "```\n", "\n", - "For the first refinement, we apply only a couple cells radially around our survey lines to assure that the air-ground interface near the receivers are modeled with the finest cell size.\n", + "- For the first refinement, we insert two cells around our survey lines. The refinement is done radially around the segments of the curve to assure that the air-ground interface near the receivers are modeled with the finest cell size.\n", "\n", - "A second refinement is used along topography to get a coarse but continuous air-ground interface outside the area or interest.\n", + "- A second refinement is used along topography to get a coarse but continuous air-ground interface outside the area or interest.\n", "\n", - "A third \"horizon\" type of refinement is used to get a core region of increasing cell size with depth directly below the survey.\n", + "- The third refinement \"horizon\" is used to get a core region at depth with increasing cell size directly below the survey. This is our volume of interest most strongly influence by the data. \n", "\n", "```{figure} ./images/magnetics/mesh_refinement.png\n", "---\n", @@ -92,87 +98,103 @@ }, { "cell_type": "markdown", - "id": "eb295a81", + "id": "a9805073", "metadata": {}, "source": [ "## Scalar inversion (susceptibility)\n", "\n", "**Runtime: ~1 min**\n", "\n", - "As a first pass, we invert the data with default parameters shown in [Figure X](data_input). We use a constant 25 nT floor uncertainty, determined empirically to achieve good fit.\n", + "As a first pass, we invert the data with default parameters shown in [Figure 12](mag_default). We use a constant 25 nT floor uncertainty, determined empirically to achieve good fit. After running the inversion we obtain:\n", "\n", - "```{figure} ./images/data_input.png\n", + "```{figure} ./images/magnetics/mag_model_default.png\n", "---\n", - "height: 400px\n", - "\n", "name: mag_default\n", "---\n", - "(Top) (left) Observed and (right) predicted data after convergence of the L2 (smooth) solution. Most of the data is well recovered.\n", + "(Top) (left) Predicted and (right) residuals data after reaching target misfit (iteration 3).\n", "\n", - "(Bottom) Horizontal slice at 255 m elevation for (left) the smooth and (right) compact magnetization models.\n", + "(Bottom) Slices through the recovered susceptibility model: (left) at 175 m elevation and (right) at 6072150 m N.\n", "```\n", "\n", - "Following the smooth solution, a series of IRLS iterations were performed to recover an alternate, more compact model. The following figure shows sections through the recovered models and compares the observed and predicted data.\n", + "We note that our model predicts the data within our uncertainty floor of 25 nT. In plan view, the model shows a clear North-West trend corresponding to the ore body. On the vertical section we recover an isolate body at depth. We note that large portions of the model in the padding cells have no anomalies. All the magnetic signal is confined to a region directly below the survey lines. This is somewhat surprising given the large East-West trend in the data, which would be better explain by a large body extending beyond the extent of our survey. \n", "\n", "\n", - "```{figure} ./images/data_input.png\n", - "---\n", - "height: 400px\n", + "### No reference model\n", "\n", - "name: mag_default\n", - "---\n", - "(Top) (left) Observed and (right) predicted data after convergence of the L2 (smooth) solution. Most of the data is well recovered.\n", + "As a second pass, we test whether our initial assumption of a uniform zero susceptibility model is adequate. We can remove the influence on the reference model by setting the corresponding scaling factor to 0. After re-running the inversion we recover:\n", "\n", - "(Bottom) Horizontal slice at 255 m elevation for (left) the smooth and (right) compact magnetization models.\n", + "```{figure} ./images/magnetics/no_ref_input.png\n", + "---\n", + "scale: 50%\n", + "name: no_ref_input\n", "```\n", "\n", + "The model shown in [Figure 13](mag_no_ref) generally agrees with the position of the strongly magnetic ore body, but changes greatly outside the survey area. Since we have not imposed any constraints on the background value, the inversion is free to extend the smoothout the eastern anomaly both at depth and in the padding region. This is in better agreement with our known geological knowledge.\n", "\n", - "### No reference model\n", - "\n", - "From our previous attempt, we note that large portions of the model, in the padding cells and at depth, have no anomalies. All the magnetic signal is confined to a region directly below the survey lines. This is somewhat surprising given the large East-West trend in the data, which would be better explain by a large body extending beyond the extent of our survey.\n", - "As a second pass, we test whether our initial assumption of a uniform 0 susceptibility model is adequate ([Figure X]())\n", - "\n", - "The recovered model shown in [Figure X](data_input) generally agrees with the position of the strongly magnetic ore body, but changes greatly outside the survey area. Since we have not imposed any constraints on the background value, the inversion is free to extend the anomaly both at depth and in the padding region.\n", "\n", + "```{figure} ./images/magnetics/mag_model_no_ref.png\n", + "---\n", + "name: mag_no_ref\n", + "---\n", + "(Top) (left) Predicted and (right) residuals data after reaching target misfit (iteration 3).\n", "\n", - "[To be continued with detrending and regional removal]" + "(Bottom) Slices through the recovered susceptibility model: (left) at 175 m elevation and (right) at 6072150 m N.\n", + "```\n" ] }, { "cell_type": "markdown", - "id": "28a3ff6a", + "id": "b473337c", "metadata": {}, "source": [ "## Magnetic vector inversion (MVI)\n", "\n", - "The airborne magnetic data were inverted over a range of uncertainties in order to achieve an adequate data fit. Following the smooth solution, a series of IRLS iterations were performed to recover an alternate, more compact model. The following figure shows sections through the recovered models and compares the observed and predicted data.\n", + "We now look at the solution using the magnetic vector inversion (MVI) algorithm. This approach is generally favoured if [remanent magnetization](https://gpg.geosci.xyz/content/magnetics/magnetics_basic_principles.html?highlight=remanence#remanent-magnetization) is kwown to distorte the magnetic signal. \n", + "\n", + "We use the default parameters but without a reference model as shown below.\n", + "\n", + "```{figure} ./images/magnetics/mvi_input.png\n", + "---\n", + "scale: 50%\n", + "name: mvi_input\n", + "```\n", "\n", + "After running the inversion, we obtain\n", "\n", - "```{figure} ./images/mag_model_TOP.png\n", + "\n", + "```{figure} ./images/magnetics/mvi_model.png\n", "---\n", - "height: 400px\n", - "name: mag_model_TOP\n", + "name: mvi_model\n", "---\n", - "(Top) (left) Observed and (right) predicted data after convergence of the L2 (smooth) solution. Most of the data is well recovered.\n", + "(Top) (left) Predicted and (right) residuals data after reaching target misfit (iteration 3).\n", "\n", - "(Bottom) Horizontal slice at 255 m elevation for (left) the smooth and (right) compact magnetization models.\n", + "(Bottom) Slices through the recovered susceptibility model: (left) at 175 m elevation and (right) at 6072150 m N.\n", "```\n", "\n", + "We note that the effective susceptibility values are much lower than recovered with the scalar susceptibility inversion. The anomaly is also smoother, broader and less well defined at depth. This can be explained by the increase in non-uniquess of the inverse problem, where we now have to solve for three models (vectors) at once. This result could be improved with additional constraints, but beyond the scopy of this section.\n", "\n", - "[Add more here]\n", "\n", + "### Algorithmic details\n", "\n", - "

      " - ] - }, - { - "cell_type": "markdown", - "id": "0a729d34", - "metadata": {}, - "source": [ - "## Compact models\n", + "Looking back at the log file, users may notive that the MVI process goes through three main stages:\n", "\n", - "\n" + "1- Solve the problem in Cartesian (3-components) form for a smooth model\n", + "\n", + "2- Convert the model to Spherical (amplitude and angles) and iterate to target misfit.\n", + "\n", + "3- Use the smooth Spherical model for the compact IRLS iterations.\n", + "\n", + "```{figure} ./images/magnetics/mvi_log.png\n", + "---\n", + "scale: 50%\n", + "name: mvi_log\n", + "```\n", + "\n", + "Note that the last Cartesian model ends after reaching a target misfit of about 2x (hard-coded). User should preferentially use the last model from the Spherical steps, or last of IRLS, to do their interpration as both are on or near target. \n", + "\n", + "See [Fournier et al. 2020](https://owncloud.eoas.ubc.ca/s/iXrwgjXjierfoKa/download) for more details.\n", + "\n", + "

      " ] } ], diff --git a/docs/case_study/magnetic.py b/docs/case_study/magnetic.py index 845f9d00..6e05352f 100644 --- a/docs/case_study/magnetic.py +++ b/docs/case_study/magnetic.py @@ -16,13 +16,17 @@ # # # Magnetic Inversion # -# This section focuses on the inversion of magnetic data using a scalar (susceptibility) and a magnetization (vector) approach generated from the Flin Flon magnetic model ([Figure X](mag_model). +# This section focuses on the inversion of magnetic data using a scalar (susceptibility) and a magnetization (vector) approach generated from the Flin Flon magnetic model. We also cover some strategies on how to remove regional signal and the use of compact norms. +# +# # # ```{figure} ./images/magnetics/mag_model.png # --- -# scale: 50% +# scale: 25% +# # name: mag_model # --- +# [Download here](https://github.com/MiraGeoscience/simpeg-drivers/blob/develop/simpeg_drivers-assets/inversion_demo.geoh5) # ``` # # @@ -32,7 +36,7 @@ # # ## Forward simulation # -# We simulated Residual Magnetic Intensity (RMI) data along East-West lines at a 40 m drape height above topography. The line spacing was set to 200 m, with along-line data downsampled to 10 m. +# We simulated Residual Magnetic Intensity (RMI) data along East-West lines spaced to 200 m apart, with along-line data downsampled to 10 m. The flight height is set to 40 m above topography. # # The following parameters were used for the forward simulation: # @@ -43,7 +47,9 @@ # --- # ``` # -# For simplicity, the simulation assumes a purely induced response. This is done by omitting to provide values/models for the magnetization inclination and declination. The inducing field parameters are used instead. After running the forward simulation, we obtain RMI data as shown in [Figure X](mag_data). We note the strong correlation between the amplitude of the signal and the horizontal position of the ore body. There is also a significant East-West trend due to the weakly magnetic but large Hidden Formation. +# For simplicity, the simulation assumes a purely induced response. By omitting to supply values/models for the inclination and declination of magnetization, the forward routine uses the inducing field parameters instead. +# +# After running the forward simulation, we obtain RMI data as shown in [Figure 9](mag_data). We note the strong correlation between the amplitude of the signal and the horizontal position of the ore body. There is also a significant long wavelength East-West trend, due to the large but weakly magnetic Hidden Formation. # # # ```{figure} ./images/magnetics/MAG_data.png @@ -58,21 +64,21 @@ # ## Mesh creation # -# In preparation for the inversion, we create an octree mesh optimized for the magnetic survey. [Figure X]() shows the parameters used. +# In preparation for the inversion, we create an octree mesh optimized for the magnetic survey. [Figure 10](mag_core) shows the parameters used. # # ```{figure} ./images/magnetics/mesh_core.png # --- # scale: 50% -# name: mag_data +# name: mag_core # --- -# Residual magnetic intensity (RMI) data measured over the zone of interest. +# Core mesh parameters. # ``` # -# For the first refinement, we apply only a couple cells radially around our survey lines to assure that the air-ground interface near the receivers are modeled with the finest cell size. +# - For the first refinement, we insert two cells around our survey lines. The refinement is done radially around the segments of the curve to assure that the air-ground interface near the receivers are modeled with the finest cell size. # -# A second refinement is used along topography to get a coarse but continuous air-ground interface outside the area or interest. +# - A second refinement is used along topography to get a coarse but continuous air-ground interface outside the area or interest. # -# A third "horizon" type of refinement is used to get a core region of increasing cell size with depth directly below the survey. +# - The third refinement "horizon" is used to get a core region at depth with increasing cell size directly below the survey. This is our volume of interest most strongly influence by the data. # # ```{figure} ./images/magnetics/mesh_refinement.png # --- @@ -89,66 +95,88 @@ # # **Runtime: ~1 min** # -# As a first pass, we invert the data with default parameters shown in [Figure X](data_input). We use a constant 25 nT floor uncertainty, determined empirically to achieve good fit. +# As a first pass, we invert the data with default parameters shown in [Figure 12](mag_default). We use a constant 25 nT floor uncertainty, determined empirically to achieve good fit. After running the inversion we obtain: # -# ```{figure} ./images/data_input.png +# ```{figure} ./images/magnetics/mag_model_default.png # --- -# height: 400px -# # name: mag_default # --- -# (Top) (left) Observed and (right) predicted data after convergence of the L2 (smooth) solution. Most of the data is well recovered. +# (Top) (left) Predicted and (right) residuals data after reaching target misfit (iteration 3). # -# (Bottom) Horizontal slice at 255 m elevation for (left) the smooth and (right) compact magnetization models. +# (Bottom) Slices through the recovered susceptibility model: (left) at 175 m elevation and (right) at 6072150 m N. # ``` # -# Following the smooth solution, a series of IRLS iterations were performed to recover an alternate, more compact model. The following figure shows sections through the recovered models and compares the observed and predicted data. +# We note that our model predicts the data within our uncertainty floor of 25 nT. In plan view, the model shows a clear North-West trend corresponding to the ore body. On the vertical section we recover an isolate body at depth. We note that large portions of the model in the padding cells have no anomalies. All the magnetic signal is confined to a region directly below the survey lines. This is somewhat surprising given the large East-West trend in the data, which would be better explain by a large body extending beyond the extent of our survey. # # -# ```{figure} ./images/data_input.png -# --- -# height: 400px +# ### No reference model # -# name: mag_default -# --- -# (Top) (left) Observed and (right) predicted data after convergence of the L2 (smooth) solution. Most of the data is well recovered. +# As a second pass, we test whether our initial assumption of a uniform zero susceptibility model is adequate. We can remove the influence on the reference model by setting the corresponding scaling factor to 0. After re-running the inversion we recover: # -# (Bottom) Horizontal slice at 255 m elevation for (left) the smooth and (right) compact magnetization models. +# ```{figure} ./images/magnetics/no_ref_input.png +# --- +# scale: 50% +# name: no_ref_input # ``` # +# The model shown in [Figure 13](mag_no_ref) generally agrees with the position of the strongly magnetic ore body, but changes greatly outside the survey area. Since we have not imposed any constraints on the background value, the inversion is free to extend the smoothout the eastern anomaly both at depth and in the padding region. This is in better agreement with our known geological knowledge. # -# ### No reference model -# -# From our previous attempt, we note that large portions of the model, in the padding cells and at depth, have no anomalies. All the magnetic signal is confined to a region directly below the survey lines. This is somewhat surprising given the large East-West trend in the data, which would be better explain by a large body extending beyond the extent of our survey. -# As a second pass, we test whether our initial assumption of a uniform 0 susceptibility model is adequate ([Figure X]()) # -# The recovered model shown in [Figure X](data_input) generally agrees with the position of the strongly magnetic ore body, but changes greatly outside the survey area. Since we have not imposed any constraints on the background value, the inversion is free to extend the anomaly both at depth and in the padding region. +# ```{figure} ./images/magnetics/mag_model_no_ref.png +# --- +# name: mag_no_ref +# --- +# (Top) (left) Predicted and (right) residuals data after reaching target misfit (iteration 3). # +# (Bottom) Slices through the recovered susceptibility model: (left) at 175 m elevation and (right) at 6072150 m N. +# ``` # -# [To be continued with detrending and regional removal] # ## Magnetic vector inversion (MVI) # -# The airborne magnetic data were inverted over a range of uncertainties in order to achieve an adequate data fit. Following the smooth solution, a series of IRLS iterations were performed to recover an alternate, more compact model. The following figure shows sections through the recovered models and compares the observed and predicted data. +# We now look at the solution using the magnetic vector inversion (MVI) algorithm. This approach is generally favoured if [remanent magnetization](https://gpg.geosci.xyz/content/magnetics/magnetics_basic_principles.html?highlight=remanence#remanent-magnetization) is kwown to distorte the magnetic signal. # +# We use the default parameters but without a reference model as shown below. # -# ```{figure} ./images/mag_model_TOP.png +# ```{figure} ./images/magnetics/mvi_input.png # --- -# height: 400px -# name: mag_model_TOP +# scale: 50% +# name: mvi_input +# ``` +# +# After running the inversion, we obtain +# +# +# ```{figure} ./images/magnetics/mvi_model.png +# --- +# name: mvi_model # --- -# (Top) (left) Observed and (right) predicted data after convergence of the L2 (smooth) solution. Most of the data is well recovered. +# (Top) (left) Predicted and (right) residuals data after reaching target misfit (iteration 3). # -# (Bottom) Horizontal slice at 255 m elevation for (left) the smooth and (right) compact magnetization models. +# (Bottom) Slices through the recovered susceptibility model: (left) at 175 m elevation and (right) at 6072150 m N. # ``` # +# We note that the effective susceptibility values are much lower than recovered with the scalar susceptibility inversion. The anomaly is also smoother, broader and less well defined at depth. This can be explained by the increase in non-uniquess of the inverse problem, where we now have to solve for three models (vectors) at once. This result could be improved with additional constraints, but beyond the scopy of this section. # -# [Add more here] # +# ### Algorithmic details # -#

      - -# ## Compact models +# Looking back at the log file, users may notive that the MVI process goes through three main stages: # +# 1- Solve the problem in Cartesian (3-components) form for a smooth model # +# 2- Convert the model to Spherical (amplitude and angles) and iterate to target misfit. # +# 3- Use the smooth Spherical model for the compact IRLS iterations. +# +# ```{figure} ./images/magnetics/mvi_log.png +# --- +# scale: 50% +# name: mvi_log +# ``` +# +# Note that the last Cartesian model ends after reaching a target misfit of about 2x (hard-coded). User should preferentially use the last model from the Spherical steps, or last of IRLS, to do their interpration as both are on or near target. +# +# See [Fournier et al. 2020](https://owncloud.eoas.ubc.ca/s/iXrwgjXjierfoKa/download) for more details. +# +#

      diff --git a/docs/case_study/tipper.ipynb b/docs/case_study/tipper.ipynb index bdd18832..d0cbf108 100644 --- a/docs/case_study/tipper.ipynb +++ b/docs/case_study/tipper.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "ff8168fa", + "id": "f0461a90", "metadata": {}, "source": [ "

      \n", @@ -16,7 +16,7 @@ }, { "cell_type": "markdown", - "id": "9d622e6b", + "id": "7613153b", "metadata": {}, "source": [ "(tipper-data)=\n", diff --git a/docs/inversion/data_misfit.ipynb b/docs/inversion/data_misfit.ipynb index d93ffa05..4ca501d2 100644 --- a/docs/inversion/data_misfit.ipynb +++ b/docs/inversion/data_misfit.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "400c1849", + "id": "0f803ade", "metadata": {}, "source": [ "(data_misfit)=\n", @@ -32,7 +32,7 @@ }, { "cell_type": "markdown", - "id": "416d1156", + "id": "37d0a4e7", "metadata": {}, "source": [ "## Uncertainties\n", @@ -47,7 +47,7 @@ }, { "cell_type": "markdown", - "id": "29920cd0", + "id": "303f0995", "metadata": {}, "source": [ "![setup_plot](./images/setup_plot.png)\n", @@ -57,7 +57,7 @@ }, { "cell_type": "markdown", - "id": "c9d12908", + "id": "1c5b5015", "metadata": {}, "source": [ "### Constant floor\n", @@ -69,7 +69,7 @@ }, { "cell_type": "markdown", - "id": "51448b95", + "id": "75e4dd0b", "metadata": {}, "source": [ "#### Noise floor too high\n", @@ -79,7 +79,7 @@ }, { "cell_type": "markdown", - "id": "d87abff2", + "id": "993bd8cd", "metadata": {}, "source": [ "![large_floor_plot](./images/large_floor_plot.png)\n", @@ -88,7 +88,7 @@ }, { "cell_type": "markdown", - "id": "9e96b005", + "id": "933af01f", "metadata": {}, "source": [ "#### Noise floor too low\n", @@ -98,7 +98,7 @@ }, { "cell_type": "markdown", - "id": "c7190ed6", + "id": "f3e5e2d4", "metadata": {}, "source": [ "![small_floor_plot](./images/small_floor_plot.png)\n", @@ -107,7 +107,7 @@ }, { "cell_type": "markdown", - "id": "fa7d2b76", + "id": "e16c564f", "metadata": {}, "source": [ "#### Optimal\n", @@ -117,7 +117,7 @@ }, { "cell_type": "markdown", - "id": "8620fd04", + "id": "9d44ad8b", "metadata": {}, "source": [ "![correct_floor_plot](./images/correct_floor_plot.png)\n", @@ -126,7 +126,7 @@ }, { "cell_type": "markdown", - "id": "dd6d28d7", + "id": "ed15a7a0", "metadata": {}, "source": [ "### Amplitude (%)\n", @@ -144,7 +144,7 @@ }, { "cell_type": "markdown", - "id": "e9b9fe6e", + "id": "c1a84611", "metadata": {}, "source": [ "![percent_floor_plot](./images/percent_floor_plot.png)\n", @@ -153,7 +153,7 @@ }, { "cell_type": "markdown", - "id": "619828eb", + "id": "d7375112", "metadata": {}, "source": [ "## Summary\n", diff --git a/docs/inversion/fundamentals.ipynb b/docs/inversion/fundamentals.ipynb index 82271bad..419419db 100644 --- a/docs/inversion/fundamentals.ipynb +++ b/docs/inversion/fundamentals.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "c96f9270", + "id": "1278b4f2", "metadata": {}, "source": [ "# Background\n", @@ -12,7 +12,7 @@ }, { "cell_type": "markdown", - "id": "fdbab9b1", + "id": "c98c1513", "metadata": {}, "source": [ "## Forward simulation\n", @@ -49,7 +49,7 @@ }, { "cell_type": "markdown", - "id": "3763d71d", + "id": "bf62ff95", "metadata": {}, "source": [ "### Example\n", @@ -80,7 +80,7 @@ { "cell_type": "code", "execution_count": null, - "id": "5440b947", + "id": "b46c9fee", "metadata": {}, "outputs": [], "source": [ @@ -90,7 +90,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3b0c3ab2", + "id": "3148b42b", "metadata": {}, "outputs": [], "source": [ @@ -99,7 +99,7 @@ }, { "cell_type": "markdown", - "id": "09ddd4b3", + "id": "eb44d77e", "metadata": {}, "source": [ "For given values for $\\mathbf{m}$, we have a way to compute data $\\mathbf{d}$. For example, for\n", @@ -109,7 +109,7 @@ { "cell_type": "code", "execution_count": null, - "id": "31229942", + "id": "417ed1e2", "metadata": {}, "outputs": [], "source": [ @@ -118,7 +118,7 @@ }, { "cell_type": "markdown", - "id": "c1341098", + "id": "e6038478", "metadata": {}, "source": [ "(inverse_problem)=\n", @@ -186,7 +186,7 @@ }, { "cell_type": "markdown", - "id": "9c09c343", + "id": "a4f254bc", "metadata": { "lines_to_next_cell": 2 }, @@ -207,7 +207,7 @@ }, { "cell_type": "markdown", - "id": "d48040bb", + "id": "bb4ebc03", "metadata": {}, "source": [ "Since $\\mathbf{F}$ does not have an inverse, we can instead solve the least-norm problem\n", @@ -234,7 +234,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6440f625", + "id": "327a2069", "metadata": {}, "outputs": [], "source": [ @@ -246,7 +246,7 @@ }, { "cell_type": "markdown", - "id": "e74a662b", + "id": "5c9864fb", "metadata": {}, "source": [ "We can get around this by adding a small value to `regularize` the system such that\n", @@ -259,7 +259,7 @@ { "cell_type": "code", "execution_count": null, - "id": "00f0e423", + "id": "3adfb784", "metadata": {}, "outputs": [], "source": [ @@ -268,7 +268,7 @@ }, { "cell_type": "markdown", - "id": "edc5528f", + "id": "90e8a479", "metadata": {}, "source": [ "We have found a solution to this under-determined problem: $m = [0.2,\\; 0.4]$. This result is known as the `least-norm` solution, which differs from the true answer $m = [0.5, \\;0.25]$. Other \"better\" solutions could be found if more information is provided to the inverse problem to push the model towards expected values. This will be the topic of the [Regularization Section](regularization.ipynb)" @@ -276,7 +276,7 @@ }, { "cell_type": "markdown", - "id": "464cee86", + "id": "3d486302", "metadata": {}, "source": [ "

      " diff --git a/docs/case_study/images/common_survey.png b/docs/inversion/images/common_survey.png similarity index 100% rename from docs/case_study/images/common_survey.png rename to docs/inversion/images/common_survey.png diff --git a/docs/case_study/images/mesh_core.png b/docs/inversion/images/mesh_core.png similarity index 100% rename from docs/case_study/images/mesh_core.png rename to docs/inversion/images/mesh_core.png diff --git a/docs/case_study/images/mesh_dc.png b/docs/inversion/images/mesh_dc.png similarity index 100% rename from docs/case_study/images/mesh_dc.png rename to docs/inversion/images/mesh_dc.png diff --git a/docs/case_study/images/mesh_mag.png b/docs/inversion/images/mesh_mag.png similarity index 100% rename from docs/case_study/images/mesh_mag.png rename to docs/inversion/images/mesh_mag.png diff --git a/docs/inversion/index.ipynb b/docs/inversion/index.ipynb index 17a849ea..07f5a786 100644 --- a/docs/inversion/index.ipynb +++ b/docs/inversion/index.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "f3e07b8e", + "id": "8bbf364b", "metadata": {}, "source": [ "# Fundamentals\n", diff --git a/docs/inversion/joint_inversion.ipynb b/docs/inversion/joint_inversion.ipynb index 36302f0a..560e9eea 100644 --- a/docs/inversion/joint_inversion.ipynb +++ b/docs/inversion/joint_inversion.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "0562d49d", + "id": "afe031f6", "metadata": {}, "source": [ "# Joint Inversion\n", @@ -12,7 +12,7 @@ }, { "cell_type": "markdown", - "id": "0224d8ca", + "id": "5ff6049c", "metadata": {}, "source": [ "## Joint Surveys Inversion\n", @@ -47,7 +47,7 @@ }, { "cell_type": "markdown", - "id": "e93a3ab5", + "id": "81d1b81d", "metadata": {}, "source": [ "## Joint Properties Inversion\n", @@ -77,7 +77,7 @@ }, { "cell_type": "markdown", - "id": "d3243d22", + "id": "5045dbc9", "metadata": {}, "source": [ "(cross-gradient)=\n", @@ -117,7 +117,7 @@ }, { "cell_type": "markdown", - "id": "afbcad39", + "id": "586e367a", "metadata": {}, "source": [ "## Mesh creation\n", diff --git a/docs/inversion/mesh_design.ipynb b/docs/inversion/mesh_design.ipynb index c2c8d1ff..3f1704b6 100644 --- a/docs/inversion/mesh_design.ipynb +++ b/docs/inversion/mesh_design.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "70a29e84", + "id": "9a2aba3b", "metadata": {}, "source": [ "

      \n", @@ -83,7 +83,7 @@ }, { "cell_type": "markdown", - "id": "586d48de", + "id": "3f8d6a08", "metadata": {}, "source": [ "## Refinements\n", diff --git a/docs/inversion/regularization.ipynb b/docs/inversion/regularization.ipynb index d8307bbb..d53e0665 100644 --- a/docs/inversion/regularization.ipynb +++ b/docs/inversion/regularization.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "981600a5", + "id": "9194af3d", "metadata": {}, "source": [ "# Constraints (Regularization)\n", @@ -18,7 +18,7 @@ }, { "cell_type": "markdown", - "id": "de352fa6", + "id": "41241ccf", "metadata": {}, "source": [ "(l2-norm)=\n", @@ -108,7 +108,7 @@ }, { "cell_type": "markdown", - "id": "35837389", + "id": "9b99342f", "metadata": {}, "source": [ "(lp-norm)=\n", @@ -162,7 +162,7 @@ }, { "cell_type": "markdown", - "id": "93a41b9f", + "id": "04ec3b91", "metadata": {}, "source": [ "### Smallness norm model\n", @@ -194,7 +194,7 @@ }, { "cell_type": "markdown", - "id": "39fbea4b", + "id": "4e24ad0f", "metadata": {}, "source": [ "### Smoothness norm model\n", @@ -266,7 +266,7 @@ }, { "cell_type": "markdown", - "id": "72d98d6d", + "id": "effd2caf", "metadata": {}, "source": [ "## Mixed norms\n", @@ -278,7 +278,7 @@ }, { "cell_type": "markdown", - "id": "8c95ad34", + "id": "25b9d936", "metadata": {}, "source": [ "

      \n" From 3e48632b4d0eb64151b985209ae34d756d58ddac Mon Sep 17 00:00:00 2001 From: dominiquef Date: Fri, 26 Jul 2024 14:44:01 -0700 Subject: [PATCH 077/350] Add Tipper. Update figures --- docs/case_study/background.ipynb | 2 +- docs/case_study/dc_resistivity.ipynb | 12 +- docs/case_study/dc_resistivity.py | 2 + docs/case_study/gravity.ipynb | 28 +++-- docs/case_study/gravity.py | 4 +- docs/case_study/images/dc/dc_model.png | Bin 121546 -> 219390 bytes docs/case_study/images/gravity/grav_model.png | Bin 133607 -> 224800 bytes docs/case_study/images/magnetics/base_reg.png | Bin 18812 -> 37495 bytes .../case_study/images/magnetics/mag_model.png | Bin 92204 -> 217957 bytes docs/case_study/images/tipper/tipper_data.png | Bin 0 -> 391058 bytes .../images/tipper/tipper_forward.png | Bin 0 -> 23144 bytes .../case_study/images/tipper/tipper_model.png | Bin 119950 -> 216891 bytes .../images/{ => tipper}/tipper_uncerts.png | Bin .../images/tipper/tipper_unconstrained.png | Bin 0 -> 444001 bytes docs/case_study/introduction.ipynb | 2 +- docs/case_study/joint_inversion.ipynb | 2 +- docs/case_study/magnetic.ipynb | 42 ++++--- docs/case_study/magnetic.py | 24 +++- docs/case_study/tipper.ipynb | 117 ++++++++++++++++-- docs/case_study/tipper.py | 101 +++++++++++++-- docs/inversion/data_misfit.ipynb | 26 ++-- docs/inversion/fundamentals.ipynb | 30 ++--- docs/inversion/index.ipynb | 2 +- docs/inversion/joint_inversion.ipynb | 10 +- docs/inversion/mesh_design.ipynb | 6 +- docs/inversion/mesh_design.py | 4 +- docs/inversion/regularization.ipynb | 14 +-- 27 files changed, 325 insertions(+), 103 deletions(-) create mode 100644 docs/case_study/images/tipper/tipper_data.png create mode 100644 docs/case_study/images/tipper/tipper_forward.png rename docs/case_study/images/{ => tipper}/tipper_uncerts.png (100%) create mode 100644 docs/case_study/images/tipper/tipper_unconstrained.png diff --git a/docs/case_study/background.ipynb b/docs/case_study/background.ipynb index 59384b3d..12074760 100644 --- a/docs/case_study/background.ipynb +++ b/docs/case_study/background.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "28f4c722", + "id": "5fc48a1b", "metadata": {}, "source": [ "

      \n", diff --git a/docs/case_study/dc_resistivity.ipynb b/docs/case_study/dc_resistivity.ipynb index a8764fff..20ee9981 100644 --- a/docs/case_study/dc_resistivity.ipynb +++ b/docs/case_study/dc_resistivity.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "597e0c74", + "id": "8464a5a9", "metadata": {}, "source": [ "

      \n", @@ -26,7 +26,7 @@ }, { "cell_type": "markdown", - "id": "2029f20d", + "id": "d4324853", "metadata": {}, "source": [ "(dc-data)=\n", @@ -58,7 +58,7 @@ }, { "cell_type": "markdown", - "id": "ea3d0e95", + "id": "c6d00063", "metadata": {}, "source": [ "## Mesh creation\n", @@ -82,7 +82,9 @@ "Core mesh parameters.\n", "```\n", "\n", - "- The first refinement adds more cells around each pole location, radially outward. This assures good numerical accuracy, espatially on the outer boundary of the survey area. \n", + "### Refinements\n", + "\n", + "- The first refinement adds more cells around each pole location, radially outward. This assures good numerical accuracy, espatially on the outer boundary of the survey area.\n", "\n", "- A second refinement is used along topography to get a coarse but continuous air-ground interface outside the area or interest.\n", "\n", @@ -102,7 +104,7 @@ }, { "cell_type": "markdown", - "id": "5a952cf6", + "id": "269a9de5", "metadata": {}, "source": [ "## Unconstrained Inversion\n", diff --git a/docs/case_study/dc_resistivity.py b/docs/case_study/dc_resistivity.py index a9086cc8..12c22169 100644 --- a/docs/case_study/dc_resistivity.py +++ b/docs/case_study/dc_resistivity.py @@ -77,6 +77,8 @@ # Core mesh parameters. # ``` # +# ### Refinements +# # - The first refinement adds more cells around each pole location, radially outward. This assures good numerical accuracy, espatially on the outer boundary of the survey area. # # - A second refinement is used along topography to get a coarse but continuous air-ground interface outside the area or interest. diff --git a/docs/case_study/gravity.ipynb b/docs/case_study/gravity.ipynb index dd4ea06b..90c8bc05 100644 --- a/docs/case_study/gravity.ipynb +++ b/docs/case_study/gravity.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "3289cb90", + "id": "38a2cff9", "metadata": {}, "source": [ "

      \n", @@ -26,12 +26,12 @@ }, { "cell_type": "markdown", - "id": "489bc5a7", + "id": "0f870493", "metadata": {}, "source": [ "## Forward simulation\n", "\n", - "A ground gravity survey was simulated on sparsely sampled 200 m grid of stations.\n", + "A ground gravity survey was simulated on sparsely sampled 200 m grid of stations. \n", "\n", "The following parameters were used for the forward simulation:\n", "\n", @@ -42,7 +42,7 @@ "---\n", "```\n", "\n", - "After running the forward simulation, we obtain gravity corrected data as shown in [Figure 14](gz_data). The data are provided a terrain corrected with reference density of 2.67 g/cc. The gravity survey appears to be mostly influenced by the large formations, with little signal apparent from the ore body.\n", + "After running the forward simulation, we obtain gravity corrected data as shown below. The gravity survey appears to be mostly influenced by the large formations, with little signal apparent from the ore body. Since we have used relative densities, the simulated data is equivalent to a terrain correction with reference density, of 2.67 g/cc in this case. \n", "\n", "```{figure} ./images/gravity/gz_data.png\n", "---\n", @@ -55,12 +55,12 @@ }, { "cell_type": "markdown", - "id": "3e9e475d", + "id": "5c6340d8", "metadata": {}, "source": [ "## Mesh creation\n", "\n", - "In preparation for the inversion, we create an octree mesh optimized for the gravity survey.\n", + "In preparation for the inversion, we create an octree mesh optimized for the gravity survey. \n", "\n", "The core param are as follow:\n", "\n", @@ -72,6 +72,8 @@ "Core mesh parameters.\n", "```\n", "\n", + "### Refinements\n", + "\n", "- The first refinement \"horizon\" is used to get a core region at depth with increasing cell size directly below the survey. This is our volume of interest most strongly influence by the data. We use a maximum distance of 100 m to limit the refinement near each station.\n", "\n", "- A second refinement is used along topography to get a coarse but continuous air-ground interface outside the area or interest.\n", @@ -90,10 +92,10 @@ }, { "cell_type": "markdown", - "id": "a9d41d9a", + "id": "c11eeeec", "metadata": {}, "source": [ - "## Ground gravity\n", + "## Ground gravity \n", "\n", "The ground gravity data are assigned a constant floor uncertainty value of 0.1 mGal. We apply the the following inversion parameters:\n", "\n", @@ -118,12 +120,12 @@ "Ore shell is shown for reference.\n", "```\n", "\n", - "Notice that the inversion resolves the boundaries between the rhyolite unit and host mafic units, but poorly recovers the ore body. That is, the ore body does not generate a gravity anomaly strong enough within the host geology to be detected by the ground gravity survey." + "Notice that the inversion resolves the boundaries between the rhyolite unit and host mafic units, but poorly recovers the ore body. That is, the ore body does not generate a gravity anomaly strong enough within the host geology to be detected by the ground gravity survey. " ] }, { "cell_type": "markdown", - "id": "5a55da49", + "id": "84aa2dd5", "metadata": {}, "source": [ "(ftg-data)=\n", @@ -147,7 +149,7 @@ }, { "cell_type": "markdown", - "id": "44e02efb", + "id": "e479cd91", "metadata": {}, "source": [ "## Unconstrained FTG\n", @@ -166,7 +168,7 @@ "Ore shell is shown for reference.\n", "```\n", "\n", - "Just like the ground gravity result, the airborne inversion recovers well the boundary between the rhyolite and host mafic rocks. The ore body is also imaged on the top 200 m. In addition, we recover density structures within the Hidden Formation related to the overburden layer.\n", + "Just like the ground gravity result, the airborne inversion recovers well the boundary between the rhyolite and host mafic rocks. The ore body is also imaged on the top 200 m. In addition, we recover density structures within the Hidden Formation related to the overburden layer. \n", "\n", "\n", "

      " @@ -174,7 +176,7 @@ }, { "cell_type": "markdown", - "id": "3a733de2", + "id": "398f4456", "metadata": {}, "source": [ "## Detrending\n", diff --git a/docs/case_study/gravity.py b/docs/case_study/gravity.py index 57ab30de..9453b4e4 100644 --- a/docs/case_study/gravity.py +++ b/docs/case_study/gravity.py @@ -43,7 +43,7 @@ # --- # ``` # -# After running the forward simulation, we obtain gravity corrected data as shown in [Figure 14](gz_data). The data are provided a terrain corrected with reference density of 2.67 g/cc. The gravity survey appears to be mostly influenced by the large formations, with little signal apparent from the ore body. +# After running the forward simulation, we obtain gravity corrected data as shown below. The gravity survey appears to be mostly influenced by the large formations, with little signal apparent from the ore body. Since we have used relative densities, the simulated data is equivalent to a terrain correction with reference density, of 2.67 g/cc in this case. # # ```{figure} ./images/gravity/gz_data.png # --- @@ -68,6 +68,8 @@ # Core mesh parameters. # ``` # +# ### Refinements +# # - The first refinement "horizon" is used to get a core region at depth with increasing cell size directly below the survey. This is our volume of interest most strongly influence by the data. 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