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meta.yaml
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meta.yaml
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package:
name: vapor
version: "3.8.2"
source:
path: ..
build:
skip_compile_pyc:
- "*.py"
script_env:
- DEBUG_BUILD
- MAP_IMAGES_PATH
requirements:
build:
# Build-Only
# ==========================================
- {{ compiler('cxx') }}
- make=4.3
- cmake=3.21.3
- unzip=6.0
- jupytext=1.13.8 # Generate notebooks
- doxygen=1.9.1
# Jupyter Visualizer Widget
- nodejs
- yarn
- jupyter_packaging
- jupyterlab
# Both
# (Needs to be specified manually in both rather than just in host because otherwise conda will install multiple versions of some packages and break the install)
# ==========================================
- python=3.9.5
- numpy=1.21.4
- assimp=5.0.1
- freetype=2.10.4
- hdf5=1.12.1
- jpeg=9e
- geotiff=1.6.0
- udunits2=2.2.26
- netcdf4=1.5.8
- libtiff=4.3|4.4
- proj=7.2.0
- glm=0.9.9.4
- mesalib=21.2.5
- expat=2.4
- libcxx=14.0
run:
# Run only
- xarray=2022 #=2022.3.0
- matplotlib=3 #=3.3.2
- ipython=8 #=8.3.0
- jupyter=1 #=1.0.0
- py-opencv=4 #=4.5.3
- cppyy=2.2 #=2.2.0 If this is in build conda will load an old clang compiler which fails to compile macOS headers
# Jupyter Visualizer Widget
- widgetsnbextension # This seems to be already installed but its files are missing?
# Both
- python=3.9 # pin_compatible('python') selects python 3.10 which is not compatible
- {{ pin_compatible('numpy') }}
- {{ pin_compatible('assimp') }}
- {{ pin_compatible('freetype') }}
- {{ pin_compatible('hdf5') }}
- {{ pin_compatible('jpeg') }}
- {{ pin_compatible('geotiff') }}
- {{ pin_compatible('udunits2') }}
- {{ pin_compatible('netcdf4') }}
- libtiff=4.3|4.4 # pin_compatible pins an incompatible version
- {{ pin_compatible('proj') }}
- {{ pin_compatible('glm') }}
- {{ pin_compatible('mesalib') }}
- {{ pin_compatible('expat') }}
- {{ pin_compatible('libcxx') }}