From cd090a5b4df6687b23fcae766a69ad536863f2aa Mon Sep 17 00:00:00 2001 From: Marc Monnerat Date: Wed, 2 Oct 2024 21:57:22 +0200 Subject: [PATCH] truncated history at 0.4.2 --- .gitignore | 59 + README.md | 320 ++ TIE3_windows_environment.yml | 275 ++ TIE_list_explicit.yaml | 222 ++ clone_conda_environment.cmd | 45 + copy_condarc.cmd | 5 + demo.json | 34 + environment_from_yaml_list_explicit.txt | 360 +++ export_4.txt | 473 +++ format_xml.ps1 | 12 + images/3D_with_TIE_analysis.png | Bin 0 -> 945143 bytes images/3d_view.png | Bin 0 -> 583732 bytes images/analysis_completed.png | Bin 0 -> 41075 bytes images/anaylsis_done.png | Bin 0 -> 144135 bytes images/area_of_interest.png | Bin 0 -> 195121 bytes images/download_dem.png | Bin 0 -> 43225 bytes images/export_data.png | Bin 0 -> 91028 bytes images/flow.png | Bin 0 -> 76233 bytes images/gdb_structure.png | Bin 0 -> 7146 bytes images/lines_to_poly.png | Bin 0 -> 98411 bytes images/mosaic_file.png | Bin 0 -> 4653 bytes images/mosaic_from_dem.png | Bin 0 -> 1055122 bytes images/tie_analysis.png | Bin 0 -> 166358 bytes images/toolbox.png | Bin 0 -> 7318 bytes images/trace_analysis.png | Bin 0 -> 214228 bytes install.py | 326 ++ recipe/meta.yaml | 56 + setup_conda_environment.cmd | 69 + toolbox/LICENSE.txt | 29 + toolbox/MANIFEST.in | 5 + toolbox/README.md | 46 + toolbox/VERSION | 1 + toolbox/images/signal-height-diagram.png | Bin 0 -> 45673 bytes toolbox/images/tie-analysis.png | Bin 0 -> 509539 bytes toolbox/setup.py | 78 + toolbox/tietoolbox/__init__.py | 1 + toolbox/tietoolbox/commonlogger.py | 123 + toolbox/tietoolbox/config.py | 93 + .../toolboxes/TIEtoolbox.Analysis.pyt.xml | 38 + .../toolboxes/TIEtoolbox.Downloader.pyt.xml | 41 + .../toolboxes/TIEtoolbox.Exporter.pyt.xml | 1 + .../esri/toolboxes/TIEtoolbox.Viewer.pyt.xml | 41 + .../tietoolbox/esri/toolboxes/TIEtoolbox.pyt | 685 +++++ .../esri/toolboxes/TIEtoolbox.pyt.xml | 2654 +++++++++++++++++ toolbox/tietoolbox/feature_exporter.py | 431 +++ toolbox/tietoolbox/runner.py | 180 ++ toolbox/tietoolbox/scripts/__init__.py | 0 toolbox/tietoolbox/scripts/config.py | 118 + toolbox/tietoolbox/scripts/symbols.tsv | 2181 ++++++++++++++ .../tietoolbox/scripts/tie_analysis_dask.py | 478 +++ toolbox/tietoolbox/scripts/tie_viewer.py | 212 ++ .../tietoolbox/scripts/traces_export_utils.py | 107 + toolbox/tietoolbox/scripts/utils.py | 252 ++ toolbox/tietoolbox/utils.py | 9 + 54 files changed, 10060 insertions(+) create mode 100644 .gitignore create mode 100644 README.md create mode 100644 TIE3_windows_environment.yml create mode 100644 TIE_list_explicit.yaml create mode 100644 clone_conda_environment.cmd create mode 100644 copy_condarc.cmd create mode 100644 demo.json create mode 100644 environment_from_yaml_list_explicit.txt create mode 100644 export_4.txt create mode 100644 format_xml.ps1 create mode 100644 images/3D_with_TIE_analysis.png create mode 100644 images/3d_view.png create mode 100644 images/analysis_completed.png create mode 100644 images/anaylsis_done.png create mode 100644 images/area_of_interest.png create mode 100644 images/download_dem.png create mode 100644 images/export_data.png create mode 100644 images/flow.png create mode 100644 images/gdb_structure.png create mode 100644 images/lines_to_poly.png create mode 100644 images/mosaic_file.png create mode 100644 images/mosaic_from_dem.png create mode 100644 images/tie_analysis.png create mode 100644 images/toolbox.png create mode 100644 images/trace_analysis.png create mode 100644 install.py create mode 100644 recipe/meta.yaml create mode 100644 setup_conda_environment.cmd create mode 100644 toolbox/LICENSE.txt create mode 100644 toolbox/MANIFEST.in create mode 100644 toolbox/README.md create mode 100644 toolbox/VERSION create mode 100644 toolbox/images/signal-height-diagram.png create mode 100644 toolbox/images/tie-analysis.png create mode 100644 toolbox/setup.py create mode 100644 toolbox/tietoolbox/__init__.py create mode 100644 toolbox/tietoolbox/commonlogger.py create mode 100644 toolbox/tietoolbox/config.py create mode 100644 toolbox/tietoolbox/esri/toolboxes/TIEtoolbox.Analysis.pyt.xml create mode 100644 toolbox/tietoolbox/esri/toolboxes/TIEtoolbox.Downloader.pyt.xml create mode 100644 toolbox/tietoolbox/esri/toolboxes/TIEtoolbox.Exporter.pyt.xml create mode 100644 toolbox/tietoolbox/esri/toolboxes/TIEtoolbox.Viewer.pyt.xml create mode 100644 toolbox/tietoolbox/esri/toolboxes/TIEtoolbox.pyt create mode 100644 toolbox/tietoolbox/esri/toolboxes/TIEtoolbox.pyt.xml create mode 100644 toolbox/tietoolbox/feature_exporter.py create mode 100644 toolbox/tietoolbox/runner.py create mode 100644 toolbox/tietoolbox/scripts/__init__.py create mode 100644 toolbox/tietoolbox/scripts/config.py create mode 100644 toolbox/tietoolbox/scripts/symbols.tsv create mode 100644 toolbox/tietoolbox/scripts/tie_analysis_dask.py create mode 100644 toolbox/tietoolbox/scripts/tie_viewer.py create mode 100644 toolbox/tietoolbox/scripts/traces_export_utils.py create mode 100644 toolbox/tietoolbox/scripts/utils.py create mode 100644 toolbox/tietoolbox/utils.py diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..47905ea --- /dev/null +++ b/.gitignore @@ -0,0 +1,59 @@ +# These are some examples of commonly ignored file patterns. +# You should customize this list as applicable to your project. +# Learn more about .gitignore: +# https://www.atlassian.com/git/tutorials/saving-changes/gitignore + +# Node artifact files +node_modules/ +dist/ + +# Dev tools +.ruff_cache + +# Compiled Python bytecode +*.py[cod] +venv +_venv +venv3 + +# Pickle +*.pkl +*.npy + +# Log files +*.log + +# Package files +*.jar + +# ESRI GDB +*.gdb/ + +# data directories +cache/ + +# JetBrains IDE +.idea/ + +# Unit test reports +TEST*.xml + +# Generated by MacOS +.DS_Store + +# Generated by Windows +Thumbs.db + +# Applications +*.app +*.exe +*.war + +# Large media files +*.mp4 +*.tiff +*.avi +*.flv +*.mov +*.wmv +*.zip diff --git a/README.md b/README.md new file mode 100644 index 0000000..08d84d7 --- /dev/null +++ b/README.md @@ -0,0 +1,320 @@ +TIE Analysis +============ + +Basic ESRI ArcMap's Toolbox to perform Trace Information Extraction (TIE) Analysis. + + +![TIE flow](flow.png) + +![TIE analysis](trace_analysis.png) + + +Installation +------------ + +Basically, this is an ESRI ArcMap/ArcGis Pro ToolBox (Python2.7 and Python 3.9) running external scripts using `Python3`. + +The `install.py` script is very `swisstopo`specific, it basically: + + * Create a `.condarc` in the `$HOME`directory ( _H:\_ ) + * Set up a `geocover.ini` file in the `$HOME\local\geocover` directory. Check the variables + `tie_conda_env` and `proxy`for corectness. + * Create a `conda` environment in `D:\conda\envs\TIE` + * Map the drive `T:` to a conda environment on the `LgX` + +Conda +----- + +On the Citrix VDI and the BURAUT laptop, the only Python3 available is the one +of the ESRI ArcGis Pro _C:\Program Files\ArcGIS\Pro_ installation. + +There are several limitations: + + * You cannnot modify the default `argispro-py3` conda environment. You may only clone it. + * On BURAUT, you only have a C:\ drive and may only write to _C:\LegacySW_ + * On the VDI, you have C:\ and D:\ and may write almost everywhere. + * Calling any `conda env` from within `ArcGis Pro` will pollute the _sys-path_ with the default environment variables. + +Creating a conda env from scratch (takes about 2 hours). The command will create a new env +_D:\conda\envs_ + + H:\code\bitbuckets\arcmap-tie-toolbox> setup_conda_environment.cmd TIE + +Use the network env on the _LgX_ server, mapped on _T:\_ + + H:\> activate T:\TIE + +Clone the same environment (takes 30 minutes) + + H:\code\bitbuckets\arcmap-tie-toolbox> clone_conda_environment.cmd TIE + + +--- +**NOTE** + +As there are no `arcgis` and `arcpy` modules in this environnement, it's labelled as `broken`by ArcGis Pro. +--- + +Additionnally, you may try to speed up to subsequent install by using `mamba`: + + conda install mamba + mamba install ipycytoscape + +You may then `activate` your conda environnement: + + C:>argis-pro-py3> deactivate + + activate ANNA + +Install modules + +Linux: + + python -m pip install 'geocover-utils @ git+https://bitbucket.org/procrastinatio/geocover-utils.git@0.1.1' + +Windows: + python -m pip install --trusted bitbucket.org https://bitbucket.org/procrastinatio/geocover-utils/get/master.zip + + python -m pip install --trusted bitbucket.org https://bitbucket.org/procrastinatio/lg-tie-lib/get/packaging.zip + +TODO: add the `geocover-utils` and `traces-extraction` libraries + +Copy the `geocover.ini` configuration to `H:\local\config\geocover` + + + "C:\Program Files\ArcGIS\Pro\bin\Python\Scripts\conda.exe" create -p D:\conda\envs\EMPTY_FROM_YAML -v --override-channels -c conda-forge -y --show-channel-urls python=3.9.18 conda pip setuptools + +### Python2 + +Install `Python2` deopnedecies + + H:\> C:\Python27\ArcGIS10.8\Scripts\pip.exe install psutil + + H:\> C:\Python27\ArcGISx6410.8\Scripts\pip.exe install psutil + + +### Create a `conda` with mayavi and arcgis + +Create a bare mininal environment for python 3.9 + + H:\code\arcmap-tie-toolbox> "C:\Program Files\ArcGIS\Pro\bin\Python\Scripts\conda.exe" create -p C:\legacySW/EMPTY -v --override-channels -c conda-forge -y --show-channel-urls mamba python=3.9.18 + +Install the ESRI stuff + + H:\code\arcmap-tie-toolbox> "C:\Program Files\ArcGIS\Pro\bin\Python\Scripts\conda.exe" install -p C:\legacySW/EMPTY -v -c conda-forge -c esri -y --show-channel-urls arcgis arcpy + +Add the usefull stuff + + H:\code\arcmap-tie-toolbox> "C:\Program Files\ArcGIS\Pro\bin\Python\Scripts\conda.exe" install -p C:\legacySW/EMPTY -v -c conda-forge -c esri geocube geopandas matplotlib mayavi numpy rasterio scipy "shapely>=2.0.0" scikit-image dask + +Extract the package list (full source url) + + H:\code\arcmap-tie-toolbox> "C:\Program Files\ArcGIS\Pro\bin\Python\Scripts\conda.exe" list --explicit -p C:\legacySW\EMPTY >h:\EMPTY__list_export.yaml + +On the *VDI* recreate the environment with: + + "C:\Program Files\ArcGIS\Pro\bin\Python\Scripts\conda.exe" create -p D:\conda\envs\EMPTY --file EMPTY__list_export.yaml + + + + + + + +### Python3 + +Modules to install in a fresh `env` + + conda install geocube geopandas matplotlib mayavi numpy rasterio scipy "shapely>=2.0.0" scikit-image dask + +Update in an `ArcGis Pro` if cloning (in theory) + + conda install --name ARGISTIE --channel conda-forge geocube geopandas mayavi rasterio "shapely>=2.0.0" scikit-image + +## Build + + (c:\LegacySW\build-distribute) H:\code\arcmap-tie-toolbox>conda build --debug recipe -c esri -c conda-forge + + + + + +## TIE + +Using a `dask` pipeline + +![](H:\code\arcmap-tie-toolbox\images\flow.png "TIE pipeline") + + +Exporting TIE Analysis to GeoJSON or KML + +![](H:\code\arcmap-tie-toolbox\images\lines_to_poly.png "Traces as surfaces") + +## Usage + + +![](H:\code\arcmap-tie-toolbox\images\toolbox.png "ArcMap TIE ToolBox") + + +Select an area (a few square kilometers, around 1:10'000 or bigger, no sheet border!) + +![](H:\code\arcmap-tie-toolbox\images\export_data.png "Exporting data") + +GDB structure + +![](H:\code\arcmap-tie-toolbox\images\gdb_structure.png "Layers in the GDB") + +Download DEM and create a mosiac + +![](H:\code\arcmap-tie-toolbox\images\download_dem.png "Donwlaod DEM") + +New Mosic file +![](H:\code\arcmap-tie-toolbox\images\mosaic_file.png "Mosaic file in project folder") + +Hillshade from DEM mosaic (only for demo) +![](H:\code\arcmap-tie-toolbox\images\mosaic_from_dem.png "Hillshade from DEM mosaic") + + +TIE Analysis + +Takes about 10-15 minutes for 5 km2 + +![](H:\code\arcmap-tie-toolbox\images\tie_analysis.png "TIE Analysis") + + +3D View and TIE Analysis + +![](H:\code\arcmap-tie-toolbox\images\3D_with_TIE_analysis.png "3D View and TIE analysis") +[map.geo.admin.ch (3D)](https://s.geo.admin.ch/3k4ctm9jhzdn) + + + + https://dubious.cloud/TIE/data/Kaiseregg/2.0/tie_as_multilines_under.kml + https://dubious.cloud/TIE/data/Kaiseregg/2.0/tie_as_lines_under.kml + + +## Debug + + +"C:\Program Files\ArcGIS\Pro\bin\Python\Scripts\conda.exe" env export -p C:\legacySW/EMPTY > h:\EMPTY_export.yaml + +"C:\Program Files\ArcGIS\Pro\bin\Python\Scripts\conda.exe" create -p D:\conda\envs/EMPTY -f h:\EMPTY_export.yaml + +conda my_env export > environment.yml + + + "C:\Program Files\ArcGIS\Pro\bin\Python\Scripts\conda.exe" create -p d:conda\envs\EMPTY -c swisstopo --file export_4.txt + + +VDI +"C:\Program Files\ArcGIS\Pro\bin\Python\Scripts\conda.exe" list --explicit -p C:\legacySW\EMPTY >h:\EMPTY__list_export.yaml + +>"C:\Program Files\ArcGIS\Pro\bin\Python\Scripts\conda.exe" create -p D:\conda\envs\EMPTY --file EMPTY__list_export.yaml + +BURAUT + + "C:\Program Files\ArcGIS\Pro\bin\Python\Scripts\conda.exe" create -p C:\legacySW/EMPTY -v +--override-channels -c conda-forge -y --show-channel-urls mamba + + + + +"C:\Program Files\ArcGIS\Pro\bin\Python\Scripts\conda.exe" create --clone "C:\Program Files\ArcGIS\Pro\bin\Python\envs\arcgispro-py3" -p "C:\LegacySW\TIE" --no-shortcuts --pinned --yes + + +"C:\Program Files\ArcGIS\Pro\bin\Python\Scripts\conda.exe" create --clone "C:\Program Files\ArcGIS\Pro\bin\Python\envs\arcgispro-py3" -p "D:\conda\envs\CLONED" --no-shortcuts --pinned --yes + +"C:\Program Files\ArcGIS\Pro\bin\Python\Scripts\conda.exe" create --clone "\\v0t0020a.adr.admin.ch\prod\lgX\TOPGIS\conda\envs\arcgis-clone-py3" -p "C:\LegacySW\TIE" -vv --no-shortcuts --yes + + 22:53:05.20 === Creating conda env "SILLY" from scratch === + Target "\\v0t0020a.adr.admin.ch\prod\lgX\TOPGIS\conda\envs\SILLY" + Could Not Find c:\temp\SILLY*.txt + Could Not Find \\v0t0020a.adr.admin.ch\prod\lgX\TOPGIS\conda\envs\SILLY + 22:53:05.22 === Creating env 'SILLY' from scratch for python 3.9.18 and installing TIE packages === + 0:46:15.34 === Installing General packages into SILLY === + 0:48:17.31 === Installing DEV packages into SILLY === + 0:49:18.82 === Set GDAL_DATA === + + SUCCESS: Specified value was saved. + 0:49:19.03 === Exporting packages === + + + (UPINNED) d:\conda\envs\UPINNED>conda install swisstopo::tietoolbox + Collecting package metadata (current_repodata.json): done + Solving environment: failed with initial frozen solve. Retrying with flexible solve. + Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source. + Collecting package metadata (repodata.json): \ ERROR conda.auxlib.logz:stringify(163): + Traceback (most recent call last): + File "conda\auxlib\logz.py", line 157, in stringify + File "conda\auxlib\logz.py", line 135, in requests_models_Response_builder + File "json\__init__.py", line 234, in dumps + File "json\encoder.py", line 201, in encode + MemoryError + failed + + CondaMemoryError: The conda process ran out of memory. Increase system memory and/or try again. + + +(SILLY) H:\code\arcmap-tie-toolbox>conda install swisstopo::tietoolbox +Collecting package metadata (current_repodata.json): done +Solving environment: failed with initial frozen solve. Retrying with flexible solve. +Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source. +Collecting package metadata (repodata.json): done +Solving environment: failed with initial frozen solve. Retrying with flexible solve. +Solving environment: failed + +SpecsConfigurationConflictError: Requested specs conflict with configured specs. + requested specs: + - swisstopo::tietoolbox + pinned specs: + - jpeg +Use 'conda config --show-sources' to look for 'pinned_specs' and 'track_features' +configuration parameters. Pinned specs may also be defined in the file +d:\conda\envs\SILLY\conda-meta\pinned. + + +Preparing transaction: done +Verifying transaction: done +Executing transaction: / Traceback (most recent call last): + File "", line 1, in + File "D:\conda\envs\SIMPLE\lib\site-packages\arcpy_init.py", line 231, in install + from lxml import etree +ImportError: DLL load failed while importing etree: The specified procedure could not be found. + +\ Uninstalling prior versions of arcgis widget +Installing D:\conda\envs\SIMPLE\lib\site-packages\arcgis\widgets/js/dist -> arcgis +Up to date: D:\conda\envs\SIMPLE\share\jupyter\nbextensions\arcgis\arcgis-map-ipywidget.js +Up to date: D:\conda\envs\SIMPLE\share\jupyter\nbextensions\arcgis\arcgis-map-ipywidget.js.map +Up to date: D:\conda\envs\SIMPLE\share\jupyter\nbextensions\arcgis\extension.js +- Validating: ok + + To initialize this nbextension in the browser every time the notebook (or other app) loads: + + jupyter nbextension enable arcgis --py --sys-prefix + +Enabling notebook extension arcgis/extension... + - Validating: ok + +done +ERROR conda.core.link:_execute(730): An error occurred while installing package 'esri::arcpy-base-3.2-py39_49743'. +Rolling back transaction: done + + LinkError: post-link script failed for package esri::arcpy-base-3.2-py39_49743 + location of failed script: D:\conda\envs\SIMPLE\Scripts\.arcpy-base-post-link.bat + ==> script messages <== + Traceback (most recent call last): + File "", line 1, in + File "D:\conda\envs\SIMPLE\lib\site-packages\arcpy_init.py", line 231, in install + from lxml import etree + ImportError: DLL load failed while importing etree: The specified procedure could not be found. + + ==> script output <== + stdout: Unable to link ArcPy DLLs to environment. + + stderr: + return code: 1 + +() + + +*** picosat: out of memory in 'new' \ No newline at end of file diff --git a/TIE3_windows_environment.yml b/TIE3_windows_environment.yml new file mode 100644 index 0000000..d1ab109 --- /dev/null +++ b/TIE3_windows_environment.yml @@ -0,0 +1,275 @@ +name: TIE3 +channels: + - esri + - conda-forge + - defaults +dependencies: + - anyio=3.5.0=py39haa95532_0 + - appdirs=1.4.4=pyh9f0ad1d_0 + - arcgis=2.1.0.2=py39_14 + - arcgispro=3.1=0 + - arcpy=3.1=py39_arcgispro_41759 + - arcpy-base=3.1=py39_41759 + - argon2-cffi=21.3.0=pyhd3eb1b0_0 + - argon2-cffi-bindings=21.2.0=py39h2bbff1b_0 + - arrow-cpp=1.0.1=17 + - asttokens=2.4.1=pyhd8ed1ab_0 + - attrs=23.2.0=pyh71513ae_0 + - azure-core=1.12.0=py_0 + - azure-storage-blob=12.8.0=py_0 + - babel=2.11.0=py39_1 + - backcall=0.2.0=pyh9f0ad1d_0 + - beautifulsoup4=4.11.1=py39haa95532_0 + - black=23.12.1=py39hcbf5309_0 + - blas=1.0=mkl + - bleach=4.1.0=pyhd3eb1b0_0 + - blinker=1.4=py39haa95532_0 + - bottleneck=1.3.5=py39h080aedc_0 + - brotli=1.0.9=h2bbff1b_7 + - brotli-bin=1.0.9=h2bbff1b_7 + - brotlipy=0.7.0=py39h2bbff1b_1003 + - ca-certificates=2023.11.17=h56e8100_0 + - cachetools=4.2.2=pyhd3eb1b0_0 + - certifi=2023.11.17=pyhd8ed1ab_0 + - cffi=1.16.0=py39ha55989b_0 + - cftime=1.6.2=py39_0 + - chardet=4.0.0=py39haa95532_1003 + - charset-normalizer=2.0.4=pyhd3eb1b0_0 + - click=8.1.7=win_pyh7428d3b_0 + - cloudpickle=2.0.0=pyhd3eb1b0_0 + - colorama=0.4.6=pyhd8ed1ab_0 + - contourpy=1.0.5=py39h59b6b97_0 + - cppzmq=4.4.1=4 + - cryptography=41.0.3=py39_2 + - cycler=0.11.0=pyhd3eb1b0_0 + - cytoolz=0.11.0=py39h2bbff1b_0 + - dask=2022.7.0=py_0 + - dask-core=2022.7.0=py39haa95532_0 + - debugpy=1.5.1=py39hd77b12b_0 + - decorator=5.1.1=pyhd8ed1ab_0 + - defusedxml=0.7.1=pyhd3eb1b0_0 + - despatch=0.2.0=py39_0 + - distributed=2022.7.0=py39haa95532_0 + - entrypoints=0.4=py39haa95532_0 + - et_xmlfile=1.1.0=py39haa95532_0 + - exceptiongroup=1.2.0=pyhd8ed1ab_2 + - executing=2.0.1=pyhd8ed1ab_0 + - flake8=7.0.0=pyhd8ed1ab_0 + - fonttools=4.25.0=pyhd3eb1b0_0 + - freetype=2.12.1=4 + - fsspec=2022.7.1=py39haa95532_0 + - future=0.18.2=py39_2 + - gdal=3.4.0=arcgispro_py39_17150 + - geojson=3.1.0=pyhd8ed1ab_0 + - geomet=1.0.0=py_0 + - geos=3.5.0=arcgispro_2 + - greenlet=1.1.1=py39hd77b12b_0 + - h5py=3.7.0=arcgispro_py39_0 + - heapdict=1.0.1=pyhd3eb1b0_0 + - icc_rt=2019.0.5=arcgispro_0 + - idna=3.6=pyhd8ed1ab_0 + - importlib-metadata=4.11.3=py39haa95532_0 + - importlib_metadata=4.11.3=hd3eb1b0_0 + - iniconfig=1.1.1=pyhd3eb1b0_0 + - intel-openmp=2020.0=arcgispro_166 + - ipykernel=6.16.0=py_1 + - ipython=8.12.0=pyh08f2357_0 + - ipython_genutils=0.2.0=py_1 + - ipywidgets=7.7.2=py_0 + - isodate=0.6.0=py_0 + - isort=5.13.2=pyhd8ed1ab_0 + - jdcal=1.4.1=pyhd3eb1b0_0 + - jedi=0.19.1=pyhd8ed1ab_0 + - jinja2=3.0.3=pyhd3eb1b0_0 + - jpeg=9e=0 + - json5=0.9.5=py_0 + - jsonschema=4.16.0=py39haa95532_0 + - jupyter_client=6.1.12=py_0 + - jupyter_console=6.4.2=py_0 + - jupyter_contrib_core=0.4.0=py_0 + - jupyter_contrib_nbextensions=0.6.0=py_2 + - jupyter_core=4.11.2=py39_0 + - jupyter_highlight_selected_word=0.2.0=py_4 + - jupyter_latex_envs=1.4.6=py_5 + - jupyter_nbextensions_configurator=0.4.1=py_3 + - jupyter_server=1.21.0=py_0 + - jupyterlab=3.4.8=py_0 + - jupyterlab_pygments=0.2.2=py_0 + - jupyterlab_server=2.16.0=py_1 + - jupyterlab_widgets=3.0.3=py_1 + - keyring=23.4.0=py39_0 + - kiwisolver=1.4.2=py39hd77b12b_0 + - krb5=1.19.3=hc8ab02b_0 + - lerc=4.0=pyh39e3cac_0 + - libbrotlicommon=1.0.9=h2bbff1b_7 + - libbrotlidec=1.0.9=h2bbff1b_7 + - libbrotlienc=1.0.9=h2bbff1b_7 + - libcurl=8.4.0=0 + - libdeflate=1.17=h2bbff1b_1 + - libnghttp2=1.50.0=0 + - libpng=1.6.37=h2a8f88b_0 + - libprotobuf=3.19.4=0 + - libsodium=1.0.18=4 + - libsqlite=3.44.2=hcfcfb64_0 + - libtiff=4.5.1=0 + - libxml2=2.10.4=arcgispro_0 + - libxslt=1.1.37=3 + - libzlib=1.2.13=hcfcfb64_5 + - locket=1.0.0=py39haa95532_0 + - lxml=4.9.1=py39_1 + - lz4=3.1.3=py39h2bbff1b_0 + - lz4-c=1.9.4=0 + - markupsafe=2.1.1=py39h2bbff1b_0 + - matplotlib=3.6.0=py39_arcgispro_3 + - matplotlib-base=3.6.0=py39_arcgispro_4 + - matplotlib-inline=0.1.6=pyhd8ed1ab_0 + - mccabe=0.7.0=pyhd8ed1ab_0 + - mistune=2.0.4=py39haa95532_0 + - mkl=2020.0=arcgispro_167 + - mkl-service=2.3.0=py39_2 + - mkl_fft=1.3.0=py39_0 + - mkl_random=1.2.2=py39_0 + - mpmath=1.2.1=py39haa95532_0 + - msgpack-python=1.0.3=py39h59b6b97_0 + - msrest=0.6.21=py_0 + - munkres=1.1.4=py_0 + - mypy_extensions=1.0.0=pyha770c72_0 + - nbclassic=0.4.8=py_0 + - nbclient=0.7.0=py_3 + - nbconvert=7.2.1=py_2 + - nbformat=5.6.1=py_0 + - nest-asyncio=1.5.5=py39haa95532_0 + - netcdf4=1.6.1=py39_arcgispro_1 + - networkx=2.8.4=py39haa95532_0 + - nlohmann_json=3.7.0=2 + - nose=1.3.7=pyhd3eb1b0_1008 + - notebook=6.4.12=py_0 + - notebook-shim=0.1.0=py_0 + - ntlm-auth=1.4.0=py_0 + - numexpr=2.8.1=py39_0 + - numpy=1.20.1=py39_0 + - numpy-base=1.20.1=py39_0 + - oauthlib=3.2.0=py39_0 + - olefile=0.46=pyhd3eb1b0_0 + - openpyxl=3.0.10=py39h2bbff1b_0 + - openssl=3.0.10=0 + - packaging=23.2=pyhd8ed1ab_0 + - pandas=1.4.4=py39hd77b12b_0 + - pandocfilters=1.5.0=pyhd3eb1b0_0 + - parso=0.8.3=pyhd8ed1ab_0 + - partd=1.2.0=pyhd3eb1b0_1 + - pathspec=0.12.1=pyhd8ed1ab_0 + - pefile=2022.5.30=pyhd8ed1ab_0 + - pep8-naming=0.13.3=pyhd8ed1ab_0 + - pickleshare=0.7.5=py_1003 + - pillow=9.5.0=py39_0 + - pip=23.3.2=pyhd8ed1ab_0 + - platformdirs=4.1.0=pyhd8ed1ab_0 + - pluggy=0.13.1=py39haa95532_0 + - pro_notebook_integration=3.1=py39_12 + - proj4=9.3.0=0 + - prometheus_client=0.8.0=py_0 + - prompt-toolkit=3.0.42=pyha770c72_0 + - prompt_toolkit=3.0.42=hd8ed1ab_0 + - protobuf=3.19.4=py39_1 + - psutil=5.9.0=py39h2bbff1b_0 + - pure_eval=0.2.2=pyhd8ed1ab_0 + - pyarrow=1.0.1=py39_3 + - pybind11=2.7.1=1 + - pybind11_json=0.2.6=3 + - pycodestyle=2.11.1=pyhd8ed1ab_0 + - pycparser=2.21=pyhd8ed1ab_0 + - pyflakes=3.2.0=pyhd8ed1ab_0 + - pygments=2.17.2=pyhd8ed1ab_0 + - pyjwt=2.4.0=py_1 + - pyodbc=4.0.34=py39hd77b12b_0 + - pyopenssl=23.2.0=pyhd8ed1ab_1 + - pyparsing=3.0.9=py39haa95532_0 + - pypdf2=1.26.0=py_4 + - pyproj=3.6.1=py39_0 + - pyrsistent=0.18.0=py39h196d8e1_0 + - pyshp=2.1.3=pyhd3eb1b0_0 + - pysocks=1.7.1=py39haa95532_0 + - pytest=7.2.0=py39_0 + - python=3.9.16=0 + - python-certifi-win32=1.6=py_0 + - python-dateutil=2.8.2=pyhd3eb1b0_0 + - python-fastjsonschema=2.16.2=py39haa95532_0 + - python-gssapi=1.8.1=py39_1 + - python_abi=3.9=1_cp39 + - pytz=2022.6=py39_0 + - pywin32-ctypes=0.2.0=py39_0 + - pywin32-security=302=py39_1 + - pywinpty=2.0.1=py39_0 + - pyyaml=6.0=py39h2bbff1b_1 + - pyzmq=24.0.1=py39_1 + - regex=2023.12.25=py39ha55989b_0 + - requests=2.28.1=py39haa95532_0 + - requests-gssapi=1.2.3=py_2 + - requests-kerberos=0.12.0=0 + - requests-negotiate-sspi=0.5.3=py39_0 + - requests-oauthlib=1.3.0=py_0 + - requests-toolbelt=0.9.1=pyhd3eb1b0_0 + - ruff=0.1.13=py39h756cfbc_0 + - saspy=4.3.2=py_1 + - scipy=1.6.2=py39_0 + - seaborn=0.12.1=py39haa95532_0 + - send2trash=1.8.0=pyhd3eb1b0_1 + - setuptools=67.7.2=py39_0 + - shapely=1.7.1=py39_arcgispro_4 + - six=1.16.0=py_0 + - sniffio=1.2.0=py39haa95532_1 + - sortedcontainers=2.4.0=pyhd3eb1b0_0 + - soupsieve=2.3.2.post1=py39haa95532_0 + - sqlalchemy=1.4.39=py39h2bbff1b_0 + - sqlite=3.41.2=0 + - stack_data=0.6.2=pyhd8ed1ab_0 + - swat=1.12.0=py39_0 + - sympy=1.9=py39_1 + - tblib=1.7.0=pyhd3eb1b0_0 + - terminado=0.13.1=py39haa95532_0 + - testpath=0.5.0=py_0 + - tinycss2=1.1.1=py_0 + - toml=0.10.2=pyhd8ed1ab_0 + - tomli=2.0.1=pyhd8ed1ab_0 + - toolz=0.11.2=pyhd3eb1b0_0 + - tornado=6.1=py39h2bbff1b_0 + - tqdm=4.64.1=py39haa95532_0 + - traitlets=5.14.1=pyhd8ed1ab_0 + - typed-ast=1.5.5=py39ha55989b_1 + - typing-extensions=4.9.0=hd8ed1ab_0 + - typing_extensions=4.9.0=pyha770c72_0 + - tzdata=2023d=h0c530f3_0 + - ucrt=10.0.22621.0=h57928b3_0 + - ujson=5.4.0=py39hd77b12b_0 + - urllib3=1.26.12=py39haa95532_0 + - vc=14.3=hcf57466_18 + - vc14_runtime=14.38.33130=h82b7239_18 + - vs2015_runtime=14.38.33130=hcb4865c_18 + - wcwidth=0.2.13=pyhd8ed1ab_0 + - webencodings=0.5.1=py39haa95532_1 + - websocket-client=0.58.0=py39haa95532_4 + - wheel=0.42.0=pyhd8ed1ab_0 + - widgetsnbextension=3.6.1=py_0 + - win_inet_pton=1.1.0=py39_0 + - wincertstore=0.2=pyhd8ed1ab_1009 + - winkerberos=0.8.0=py39_0 + - winpty=0.4.3=4 + - wrapt=1.14.1=py39h2bbff1b_0 + - x86cpu=0.4=py39_1 + - xarray=0.20.1=pyhd3eb1b0_1 + - xeus=0.24.1=8 + - xeus-python=0.8.2=10 + - xlrd=2.0.1=pyhd3eb1b0_0 + - xlwt=1.3.0=py39haa95532_0 + - xtl=0.6.15=1 + - xz=5.4.5=h8cc25b3_0 + - yaml=0.2.5=0 + - yapf=0.24.0=py_0 + - zeromq=4.3.4=0 + - zict=2.1.0=py39haa95532_0 + - zipp=3.17.0=pyhd8ed1ab_0 + - zlib=1.2.13=hcfcfb64_5 + - zlib-ng=2.0.7=0 + - zstd=1.5.5=0 +prefix: C:\Users\U80795753\AppData\Local\ESRI\conda\envs\TIE3 diff --git a/TIE_list_explicit.yaml b/TIE_list_explicit.yaml new file mode 100644 index 0000000..2017b34 --- /dev/null +++ b/TIE_list_explicit.yaml @@ -0,0 +1,222 @@ +# This file may be used to create an environment using: +# $ conda create --name --file +# platform: win-64 +@EXPLICIT +https://conda.anaconda.org/esri/win-64/arcgispro-3.2-0.conda +https://conda.anaconda.org/conda-forge/win-64/ca-certificates-2023.11.17-h56e8100_0.conda +https://conda.anaconda.org/esri/win-64/dpcpp-cpp-rt-2022.2.1-arcgispro_19741.conda +https://conda.anaconda.org/esri/win-64/intel-cmplr-lib-rt-2022.2.1-arcgispro_19741.conda +https://conda.anaconda.org/esri/win-64/intel-openmp-2022.2.1-arcgispro_19741.conda +https://conda.anaconda.org/conda-forge/win-64/libexpat-2.5.0-h63175ca_1.conda +https://conda.anaconda.org/conda-forge/noarch/llvm-meta-5.0.0-0.tar.bz2 +https://conda.anaconda.org/esri/win-64/lz4-c-1.9.4-0.conda +https://conda.anaconda.org/conda-forge/win-64/msys2-conda-epoch-20160418-1.tar.bz2 +https://conda.anaconda.org/conda-forge/noarch/pybind11-abi-4-hd8ed1ab_3.tar.bz2 +https://conda.anaconda.org/conda-forge/win-64/ucrt-10.0.22621.0-h57928b3_0.tar.bz2 +https://conda.anaconda.org/conda-forge/win-64/utfcpp-3.2.5-h57928b3_0.conda +https://conda.anaconda.org/conda-forge/win-64/expat-2.5.0-h63175ca_1.conda +https://conda.anaconda.org/esri/win-64/intel-fortran-rt-2022.2.1-arcgispro_19741.conda +https://conda.anaconda.org/conda-forge/win-64/m2w64-expat-2.1.1-2.tar.bz2 +https://conda.anaconda.org/conda-forge/win-64/m2w64-gmp-6.1.0-2.tar.bz2 +https://conda.anaconda.org/conda-forge/win-64/m2w64-libiconv-1.14-6.tar.bz2 +https://conda.anaconda.org/conda-forge/win-64/m2w64-libwinpthread-git-5.0.0.4634.697f757-2.tar.bz2 +https://conda.anaconda.org/conda-forge/win-64/vc14_runtime-14.38.33130-h82b7239_18.conda +https://conda.anaconda.org/esri/win-64/icc_rt-2022.2.1-arcgispro_19741.conda +https://conda.anaconda.org/conda-forge/win-64/m2w64-gcc-libs-core-5.3.0-7.tar.bz2 +https://conda.anaconda.org/conda-forge/win-64/vc-14.3-hcf57466_18.conda +https://conda.anaconda.org/conda-forge/win-64/vs2015_runtime-14.38.33130-hcb4865c_18.conda +https://conda.anaconda.org/conda-forge/win-64/bzip2-1.0.8-hcfcfb64_5.conda +https://conda.anaconda.org/conda-forge/win-64/cfitsio-3.470-h0af3d06_7.tar.bz2 +https://conda.anaconda.org/conda-forge/win-64/double-conversion-3.3.0-h63175ca_0.conda +https://conda.anaconda.org/conda-forge/win-64/eigen-3.4.0-h91493d7_0.conda +https://conda.anaconda.org/conda-forge/win-64/ffmpeg-4.2.3-ha925a31_0.tar.bz2 +https://conda.anaconda.org/conda-forge/win-64/fmt-9.1.0-h181d51b_0.tar.bz2 +https://conda.anaconda.org/conda-forge/win-64/geos-3.8.0-he025d50_1.tar.bz2 +https://repo.anaconda.com/pkgs/main/win-64/glew-2.2.0-hd77b12b_0.conda +https://conda.anaconda.org/conda-forge/win-64/icu-73.2-h63175ca_0.conda +https://conda.anaconda.org/conda-forge/win-64/jpeg-9e-hcfcfb64_3.conda +https://conda.anaconda.org/conda-forge/win-64/jsoncpp-1.9.4-h2d74725_3.tar.bz2 +https://repo.anaconda.com/pkgs/main/win-64/libdeflate-1.17-h2bbff1b_1.conda +https://conda.anaconda.org/conda-forge/win-64/libiconv-1.17-hcfcfb64_2.conda +https://conda.anaconda.org/esri/win-64/libnghttp2-1.50.0-0.conda +https://repo.anaconda.com/pkgs/main/win-64/libogg-1.3.5-h2bbff1b_1.conda +https://conda.anaconda.org/conda-forge/win-64/libspatialindex-1.9.3-h39d44d4_4.tar.bz2 +https://conda.anaconda.org/conda-forge/win-64/libwebp-base-1.3.2-hcfcfb64_0.conda +https://conda.anaconda.org/conda-forge/win-64/m2w64-gcc-libgfortran-5.3.0-6.tar.bz2 +https://conda.anaconda.org/esri/win-64/mkl-2022.2.1-arcgispro_19755.conda +https://conda.anaconda.org/conda-forge/win-64/openmp-5.0.0-vc14_1.tar.bz2 +https://conda.anaconda.org/conda-forge/win-64/openssl-3.2.0-hcfcfb64_1.conda +https://conda.anaconda.org/conda-forge/win-64/pthreads-win32-2.9.1-hfa6e2cd_3.tar.bz2 +https://conda.anaconda.org/conda-forge/win-64/reproc-14.2.4.post0-hcfcfb64_1.conda +https://conda.anaconda.org/esri/win-64/sqlite-3.41.2-0.conda +https://conda.anaconda.org/conda-forge/win-64/tk-8.6.13-h5226925_1.conda +https://conda.anaconda.org/conda-forge/win-64/xerces-c-3.2.5-h63175ca_0.conda +https://repo.anaconda.com/pkgs/main/win-64/xz-5.4.5-h8cc25b3_0.conda +https://conda.anaconda.org/conda-forge/win-64/yaml-0.2.5-h8ffe710_2.tar.bz2 +https://conda.anaconda.org/conda-forge/win-64/yaml-cpp-0.8.0-h63175ca_0.conda +https://conda.anaconda.org/esri/win-64/zlib-1.2.13-0.tar.bz2 +https://conda.anaconda.org/esri/win-64/zlib-ng-2.0.7-0.conda +https://conda.anaconda.org/conda-forge/win-64/freexl-1.0.6-h67ca5e6_1.tar.bz2 +https://conda.anaconda.org/conda-forge/win-64/hdf4-4.2.13-h0e5069d_1005.tar.bz2 +https://conda.anaconda.org/conda-forge/win-64/hdf5-1.10.6-nompi_he0bbb20_101.tar.bz2 +https://conda.anaconda.org/conda-forge/win-64/krb5-1.20.1-heb0366b_0.conda +https://repo.anaconda.com/pkgs/main/win-64/libclang13-14.0.6-default_h8e68704_1.conda +https://conda.anaconda.org/conda-forge/win-64/libflang-5.0.0-h6538335_20180525.tar.bz2 +https://repo.anaconda.com/pkgs/main/win-64/libpng-1.6.39-h8cc25b3_0.conda +https://conda.anaconda.org/conda-forge/win-64/libssh2-1.10.0-h9a1e1f7_2.tar.bz2 +https://conda.anaconda.org/conda-forge/win-64/libtheora-1.1.1-h8d14728_1005.tar.bz2 +https://conda.anaconda.org/conda-forge/win-64/libwebp-1.3.2-hcfcfb64_1.conda +https://repo.anaconda.com/pkgs/main/win-64/libxml2-2.10.4-h0ad7f3c_1.conda +https://conda.anaconda.org/conda-forge/win-64/libzip-1.8.0-h519de47_1.tar.bz2 +https://conda.anaconda.org/conda-forge/win-64/m2w64-gcc-libs-5.3.0-7.tar.bz2 +https://repo.anaconda.com/pkgs/main/win-64/pcre2-10.42-h0ff8eda_0.conda +https://conda.anaconda.org/conda-forge/win-64/proj-6.2.1-ha7a8c7b_0.tar.bz2 +https://conda.anaconda.org/esri/win-64/python-3.9.18-0.conda +https://conda.anaconda.org/conda-forge/win-64/reproc-cpp-14.2.4.post0-h63175ca_1.conda +https://conda.anaconda.org/esri/win-64/zstd-1.5.5-0.conda +https://repo.anaconda.com/pkgs/main/win-64/curl-7.55.1-h3b839b5_4.conda +https://conda.anaconda.org/esri/win-64/freetype-2.10.4-vc14_3.tar.bz2 +https://conda.anaconda.org/conda-forge/win-64/gl2ps-1.4.2-h0597ee9_0.tar.bz2 +https://conda.anaconda.org/conda-forge/win-64/kealib-1.4.14-h96bfa42_2.tar.bz2 +https://repo.anaconda.com/pkgs/main/win-64/libarchive-3.6.2-hb62f4d4_2.conda +https://repo.anaconda.com/pkgs/main/win-64/libclang-14.0.6-default_hb5a9fac_1.conda 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+https://conda.anaconda.org/conda-forge/noarch/odc-geo-0.3.0-pyhd8ed1ab_0.tar.bz2 +https://conda.anaconda.org/conda-forge/noarch/rioxarray-0.15.0-pyhd8ed1ab_0.conda +https://conda.anaconda.org/conda-forge/win-64/scikit-image-0.18.1-py39h2e25243_0.tar.bz2 +https://conda.anaconda.org/conda-forge/noarch/envisage-6.0.1-pyhd8ed1ab_0.tar.bz2 +https://conda.anaconda.org/conda-forge/noarch/geopandas-0.12.2-pyhd8ed1ab_0.conda +https://conda.anaconda.org/conda-forge/noarch/geocube-0.4.2-pyhd8ed1ab_1.conda +https://conda.anaconda.org/conda-forge/win-64/mayavi-4.7.2-py39h342a29d_5.tar.bz2 diff --git a/clone_conda_environment.cmd b/clone_conda_environment.cmd new file mode 100644 index 0000000..d743a80 --- /dev/null +++ b/clone_conda_environment.cmd @@ -0,0 +1,45 @@ +@echo off + + +REM Batch script to create a conda environement suitable for TIE (https://github.com/geoloar/TIE-toolbox) +REM +REM usage setup_conda_environement.cmd from within a Python command Prompt. +REM +REM This script uses the python from an ArcGis Pro installation, but do not clone nor install any ESRI modules. Hence, +REM you cannot swap this environment (to be used in ArcGis Pro) +REM +REM First install the .condarc in your %USERPROFILE% with copy_condarc.cmd +REM + + +SET "envname=%1" + +IF not defined envname ( + echo Please, define src_env + EXIT /B 3 +) ELSE ( + echo src_env=%envname% +) + +set conda_exe="%ProgramFiles%\ArcGIS\Pro\bin\Python\Scripts\conda.exe" + +set PYTHON_VERSION=3.9.18 + + +REM ... or for the Pool VDI ??? +set src_env="D:\conda\envs\%envname%" +set dest_env="\\v0t0020a.adr.admin.ch\prod\lgX\TOPGIS\conda\envs\%envname%" +echo Target %dest_env% + +echo %time% === Cloning conda env "%src_env%" to %dest_env% === + + +REM cleanup +del c:\temp\%envname%_conda_clone*.txt +del %dest_env% + +ECHO %time% === Cloning env '%envname%' from %src_env% === + +%conda_exe% create --clone %src_env% -p %dest_env% -vv --no-shortcuts --pinned 1> c:\temp\%envname%_conda_clone_create.txt 2> c:\temp\%envname%_conda_clone_create_err.txt + +ECHO %time% === Done === diff --git a/copy_condarc.cmd b/copy_condarc.cmd new file mode 100644 index 0000000..2d85f54 --- /dev/null +++ b/copy_condarc.cmd @@ -0,0 +1,5 @@ + + +REM Modifying the "C:\Program Files\ArcGIS\Pro\bin\Python\.condarc" file requires Administrator privilege + +type .condarc > %userprofile%\.condarc \ No newline at end of file diff --git a/demo.json b/demo.json new file mode 100644 index 0000000..b7a04e5 --- /dev/null +++ b/demo.json @@ -0,0 +1,34 @@ +{ + "name": "Widdergalm", + "project_dir": "./cache", + "geodata_dir": "/home/marco/GEODATA", + "underground": true, + "bar_direction": "underground", + "rasterize_method": "rasterizeSHP", + "log_level": "INFO", + "bbox": [ + 2592150, + 1165850, + 2593850, + 1167500 + ], + "settings": { + "proxy": "", + "cache_directory": "/home/marco/tmp", + "num_processes": 2 + }, + "DEM": { + "source": "./data/Widdergalm/swissalti3d-2.0-mosaic.tif", + "resolution": "2.0" + }, + "Bedrock": { + "source": "/home/marco/GEODATA/TIE/geocover/boltingen.gdb", + "layer": "Bedrock_HARMOS_lt40000_Extract", + "attribute": "TOPGIS_GC_GC_BED_FORM_ATT_FMAT_LITSTRAT" + }, + "Lines": { + "source": "/home/marco/GEODATA/TIE/geocover/boltingen.gdb", + "layer": "Linear_Objects", + "attribute": "KIND" + } +} diff --git a/environment_from_yaml_list_explicit.txt b/environment_from_yaml_list_explicit.txt new file mode 100644 index 0000000..cd132f7 --- /dev/null +++ b/environment_from_yaml_list_explicit.txt @@ -0,0 +1,360 @@ +# This file may be used to create an environment using: +# $ conda create --name --file +# platform: win-64 +@EXPLICIT +https://conda.anaconda.org/conda-forge/win-64/ca-certificates-2024.2.2-h56e8100_0.conda +https://conda.anaconda.org/conda-forge/noarch/font-ttf-dejavu-sans-mono-2.37-hab24e00_0.tar.bz2 +https://conda.anaconda.org/conda-forge/noarch/font-ttf-inconsolata-3.000-h77eed37_0.tar.bz2 +https://conda.anaconda.org/conda-forge/noarch/font-ttf-source-code-pro-2.038-h77eed37_0.tar.bz2 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+https://conda.anaconda.org/conda-forge/noarch/pyface-8.0.0-pyhd8ed1ab_0.conda +https://conda.anaconda.org/conda-forge/noarch/rioxarray-0.15.0-pyhd8ed1ab_0.conda +https://conda.anaconda.org/conda-forge/noarch/wslink-1.12.4-pyhd8ed1ab_0.conda +https://conda.anaconda.org/conda-forge/noarch/geocube-0.4.2-pyhd8ed1ab_1.conda +https://conda.anaconda.org/conda-forge/noarch/ipycytoscape-1.3.3-pyhd8ed1ab_1.tar.bz2 +https://conda.anaconda.org/conda-forge/noarch/traitsui-8.0.0-pyhd8ed1ab_0.conda +https://conda.anaconda.org/conda-forge/win-64/vtk-base-9.2.6-qt_py39h1234567_220.conda +https://conda.anaconda.org/conda-forge/noarch/apptools-5.1.0-pyh44b312d_0.tar.bz2 +https://conda.anaconda.org/conda-forge/win-64/vtk-9.2.6-qt_py39h1234567_220.conda +https://conda.anaconda.org/conda-forge/noarch/envisage-6.0.1-pyhd8ed1ab_0.tar.bz2 +https://conda.anaconda.org/conda-forge/win-64/mayavi-4.8.1-py39hb01f1f9_8.conda diff --git a/export_4.txt b/export_4.txt new file mode 100644 index 0000000..7ddf6d6 --- /dev/null +++ b/export_4.txt @@ -0,0 +1,473 @@ +# This file may be used to create an environment using: +# $ conda create --name --file +# platform: win-64 +affine=2.4.0=pyhd8ed1ab_0 +aiohttp=3.9.3=py39ha55989b_1 +aiosignal=1.3.1=pyhd8ed1ab_0 +anyio=3.7.1=pyhd8ed1ab_0 +aom=3.8.2=h63175ca_0 +appdirs=1.4.4=pyh9f0ad1d_0 +apptools=5.1.0=pyh44b312d_0 +arcgis=2.2.0.3=py39_54 +arcgispro=3.2=0 +archspec=0.2.3=pyhd8ed1ab_0 +arcpy=3.2=py39_arcgispro_49743 +arcpy-base=3.2=py39_49743 +argon2-cffi=23.1.0=pyhd8ed1ab_0 +argon2-cffi-bindings=21.2.0=py39ha55989b_4 +asttokens=2.4.1=pyhd8ed1ab_0 +async-timeout=4.0.3=pyhd8ed1ab_0 +attrs=23.2.0=pyh71513ae_0 +aws-c-auth=0.7.16=h7613915_8 +aws-c-cal=0.6.10=hf6fcf4e_2 +aws-c-common=0.9.14=hcfcfb64_0 +aws-c-compression=0.2.18=hf6fcf4e_2 +aws-c-event-stream=0.4.2=h3df98b0_6 +aws-c-http=0.8.1=h4e3df0f_7 +aws-c-io=0.14.6=hf0b8b6f_1 +aws-c-mqtt=0.10.3=h96fac68_2 +aws-c-s3=0.5.2=h08df315_2 +aws-c-sdkutils=0.1.15=hf6fcf4e_2 +aws-checksums=0.1.18=hf6fcf4e_2 +aws-crt-cpp=0.26.3=h6047f0a_2 +aws-sdk-cpp=1.11.267=h558341a_3 +azure-core=1.30.1=pyhd8ed1ab_0 +azure-core-cpp=1.11.1=h249a519_1 +azure-storage-blob=12.19.1=pyhd8ed1ab_0 +azure-storage-blobs-cpp=12.10.0=h91493d7_1 +azure-storage-common-cpp=12.5.0=h91493d7_4 +babel=2.14.0=pyhd8ed1ab_0 +backcall=0.2.0=pyh9f0ad1d_0 +beautifulsoup4=4.12.3=pyha770c72_0 +black=24.3.0=py39hcbf5309_0 +blas=1.0=mkl +bleach=6.1.0=pyhd8ed1ab_0 +blinker=1.7.0=pyhd8ed1ab_0 +blosc=1.21.5=hdccc3a2_0 +bokeh=3.4.0=pyhd8ed1ab_0 +boltons=23.1.1=pyhd8ed1ab_0 +branca=0.7.1=pyhd8ed1ab_0 +brotli=1.1.0=hcfcfb64_1 +brotli-bin=1.1.0=hcfcfb64_1 +brotli-python=1.1.0=py39h99910a6_1 +bzip2=1.0.8=hcfcfb64_5 +c-ares=1.27.0=hcfcfb64_0 +ca-certificates=2024.3.11=haa95532_0 +cachetools=5.3.3=pyhd8ed1ab_0 +cairo=1.18.0=h1fef639_0 +certifi=2024.2.2=py39haa95532_0 +cffi=1.16.0=py39ha55989b_0 +cfitsio=4.3.1=h9b0cee5_0 +cftime=1.6.3=py39hd88c2e4_0 +chardet=5.2.0=py39hcbf5309_1 +charset-normalizer=3.3.2=pyhd8ed1ab_0 +click=8.1.7=win_pyh7428d3b_0 +click-plugins=1.1.1=py_0 +cligj=0.7.2=pyhd8ed1ab_1 +cloudpickle=3.0.0=pyhd8ed1ab_0 +colorama=0.4.6=pyhd8ed1ab_0 +comm=0.2.2=pyhd8ed1ab_0 +conda=24.1.2=py39hcbf5309_0 +conda-libmamba-solver=24.1.0=pyhd8ed1ab_0 +conda-package-handling=2.2.0=pyh38be061_0 +conda-package-streaming=0.9.0=pyhd8ed1ab_0 +configobj=5.0.8=pyhd8ed1ab_0 +contourpy=1.2.0=py39h1f6ef14_0 +cppzmq=4.10.0=h42135b4_1 +cryptography=42.0.5=py39hb6bd5e6_0 +cycler=0.12.1=pyhd8ed1ab_0 +cytoolz=0.12.3=py39ha55989b_0 +dask=2024.3.1=pyhd8ed1ab_0 +dask-core=2024.3.1=pyhd8ed1ab_0 +dask-expr=1.0.4=pyhd8ed1ab_0 +dav1d=1.2.1=hcfcfb64_0 +debugpy=1.8.1=py39h99910a6_0 +decorator=5.1.1=pyhd8ed1ab_0 +defusedxml=0.7.1=pyhd8ed1ab_0 +distributed=2024.3.1=pyhd8ed1ab_0 +distro=1.9.0=pyhd8ed1ab_0 +double-conversion=3.3.0=h63175ca_0 +dpcpp-cpp-rt=2022.2.1=arcgispro_19741 +eigen=3.4.0=h91493d7_0 +entrypoints=0.4=pyhd8ed1ab_0 +envisage=6.0.1=pyhd8ed1ab_0 +et_xmlfile=1.1.0=pyhd8ed1ab_0 +exceptiongroup=1.2.0=pyhd8ed1ab_2 +executing=2.0.1=pyhd8ed1ab_0 +expat=2.5.0=h63175ca_1 +ffmpeg=6.1.1=gpl_hb766fab_106 +fiona=1.9.6=py39h3ed1388_0 +flake8=7.0.0=pyhd8ed1ab_0 +fmt=10.2.1=h181d51b_0 +folium=0.16.0=pyhd8ed1ab_0 +font-ttf-dejavu-sans-mono=2.37=hab24e00_0 +font-ttf-inconsolata=3.000=h77eed37_0 +font-ttf-source-code-pro=2.038=h77eed37_0 +font-ttf-ubuntu=0.83=h77eed37_1 +fontconfig=2.14.2=hbde0cde_0 +fonts-conda-ecosystem=1=0 +fonts-conda-forge=1=0 +fonttools=4.50.0=py39ha55989b_0 +freetype=2.12.1=hdaf720e_2 +freexl=2.0.0=h8276f4a_0 +frozenlist=1.4.1=py39ha55989b_0 +fsspec=2024.3.1=pyhca7485f_0 +future=1.0.0=pyhd8ed1ab_0 +gdal=3.8.4=py39h28c80ae_0 +geocube=0.4.2=pyhd8ed1ab_1 +geomet=1.1.0=pyhd8ed1ab_0 +geopandas=0.14.3=pyhd8ed1ab_0 +geopandas-base=0.14.3=pyha770c72_0 +geos=3.12.1=h1537add_0 +geotiff=1.7.1=hbf5ca3a_15 +gettext=0.21.1=h5728263_0 +gl2ps=1.4.2=h0597ee9_0 +glew=2.1.0=h39d44d4_2 +glib=2.78.4=h12be248_0 +glib-tools=2.78.4=h12be248_0 +graphite2=1.3.13=1000 +greenlet=3.0.3=py39h99910a6_0 +gst-plugins-base=1.22.9=h001b923_1 +gstreamer=1.22.9=hb4038d2_1 +h5py=3.9.0=arcgispro_py39_1 +harfbuzz=8.3.0=h7ab893a_0 +hdf4=4.2.15=h5557f11_7 +hdf5=1.14.3=nompi_h73e8ff5_100 +icc_rt=2022.2.1=arcgispro_19741 +icu=73.2=h63175ca_0 +idna=3.6=pyhd8ed1ab_0 +imagecodecs-lite=2019.12.3=py39hd88c2e4_7 +imageio=2.34.0=pyh4b66e23_0 +importlib-metadata=7.1.0=pyha770c72_0 +importlib-resources=6.4.0=pyhd8ed1ab_0 +importlib_metadata=7.1.0=hd8ed1ab_0 +importlib_resources=6.4.0=pyhd8ed1ab_0 +iniconfig=2.0.0=pyhd8ed1ab_0 +intel-cmplr-lib-rt=2022.2.1=arcgispro_19741 +intel-fortran-rt=2022.2.1=arcgispro_19741 +intel-openmp=2022.2.1=arcgispro_19741 +ipykernel=6.29.3=pyha63f2e9_0 +ipython=8.12.0=pyh08f2357_0 +ipython_genutils=0.2.0=py_1 +ipywidgets=7.7.2=py_0 +isodate=0.6.1=pyhd8ed1ab_0 +jaraco.classes=3.3.1=pyhd8ed1ab_0 +jdcal=1.4.1=py_0 +jedi=0.19.1=pyhd8ed1ab_0 +jinja2=3.0.3=pyhd8ed1ab_0 +joblib=1.3.2=pyhd8ed1ab_0 +json5=0.9.24=pyhd8ed1ab_0 +jsoncpp=1.9.5=h2d74725_1 +jsonpatch=1.33=pyhd8ed1ab_0 +jsonpointer=2.4=py39hcbf5309_3 +jsonschema=4.21.1=pyhd8ed1ab_0 +jsonschema-specifications=2023.12.1=pyhd8ed1ab_0 +jupyter_client=6.1.12=pyhd8ed1ab_0 +jupyter_console=6.4.2=py_0 +jupyter_contrib_core=0.4.0=pyhd8ed1ab_0 +jupyter_contrib_nbextensions=0.7.0=pyhd8ed1ab_0 +jupyter_core=5.7.2=py39hcbf5309_0 +jupyter_highlight_selected_word=0.2.0=pyhd8ed1ab_1006 +jupyter_latex_envs=1.4.6=pyhd8ed1ab_1002 +jupyter_nbextensions_configurator=0.6.1=pyhd8ed1ab_0 +jupyter_server=1.24.0=pyhd8ed1ab_0 +jupyterlab=3.5.0=pyhd8ed1ab_0 +jupyterlab_pygments=0.3.0=pyhd8ed1ab_0 +jupyterlab_server=2.25.4=pyhd8ed1ab_0 +jupyterlab_widgets=3.0.10=pyhd8ed1ab_0 +kealib=1.5.3=hd248416_0 +keyring=24.3.1=py39hcbf5309_0 +kiwisolver=1.4.5=py39h1f6ef14_1 +krb5=1.21.2=heb0366b_0 +lcms2=2.16=h67d730c_0 +lerc=4.0.0=h63175ca_0 +libabseil=20240116.1=cxx17_h63175ca_2 +libaec=1.1.3=h63175ca_0 +libarchive=3.7.2=h313118b_1 +libarrow=12.0.1=h6589d97_43_cpu +libblas=3.9.0=1_h8933c1f_netlib 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+librttopo=1.1.0=h94c4f80_15 +libsodium=1.0.18=h8d14728_1 +libsolv=0.7.28=h12be248_0 +libspatialindex=1.9.3=h39d44d4_4 +libspatialite=5.1.0=hf2f0abc_4 +libsqlite=3.45.2=hcfcfb64_0 +libssh2=1.11.0=h7dfc565_0 +libtheora=1.1.1=h8d14728_1005 +libthrift=0.19.0=ha2b3283_1 +libtiff=4.6.0=h6e2ebb7_2 +libutf8proc=2.8.0=h82a8f57_0 +libvorbis=1.3.7=h0e60522_0 +libwebp-base=1.3.2=hcfcfb64_0 +libxcb=1.15=hcd874cb_0 +libxml2=2.12.6=hc3477c8_0 +libxslt=1.1.39=h3df6e99_0 +libzip=1.10.1=h1d365fa_3 +libzlib=1.2.13=hcfcfb64_5 +locket=1.0.0=pyhd8ed1ab_0 +loguru=0.7.2=py39hcbf5309_1 +lxml=5.1.0=py39h4d3bb3d_0 +lz4=4.3.3=py39hf617134_0 +lz4-c=1.9.4=hcfcfb64_0 +lzo=2.10=he774522_1000 +m2w64-gcc-libgfortran=5.3.0=6 +m2w64-gcc-libs=5.3.0=7 +m2w64-gcc-libs-core=5.3.0=7 +m2w64-gmp=6.1.0=2 +m2w64-libwinpthread-git=5.0.0.4634.697f757=2 +mamba=1.5.7=py39hca8391b_0 +mapclassify=2.5.0=py39haa95532_0 +markupsafe=2.1.5=py39ha55989b_0 +matplotlib=3.8.3=py39hcbf5309_0 +matplotlib-base=3.8.3=py39hf19769e_0 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