Comments (5)
This affects the following sections in the documentation:
Due to licensing conflicts, recent versions of SciPy do not include UMFpack. UMFpack is faster than SuperLU, especially for repeated calculations. Python wrappers for UMFpack must be installed separately using scikits.umfpack.
Setup > macOS (Apple Silicon/ARM)
Brightway runs on the new Apple Silicon ARM architecture. However, the super-fast linear algebra software library pypardiso is not compatible with the ARM processor architecture. To avoid critical errors during instruction that would break core functionality, a different version of Brightway (brightway_nosolver) must be installed, which includes a different linear algebra software library (scikit-umfpack).
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Related Issues (20)
- wrap_functional_unit where are you ?
- fail to import brightway HOT 1
- PyPardisoError: The Pardiso solver failed with error code -3. See Pardiso documentation for details. HOT 2
- Incorrect score using Mac with ARM CPU HOT 9
- Remove `psutil` HOT 1
- Poor error message when no LCIA data is supplied
- Missing ability to create RNGs for Monte Carlo in Brightway 2.5? HOT 3
- Fail to install activity browser (Windows x64) HOT 1
- Install brightway error HOT 1
- Use the expected value to parametrize lognormal distributions HOT 2
- Prevent multiple ``remap_inventory_dicts``
- Allow for selective use of distributions or arrays depending on matrix label
- `MappedMatrixDict` should support `__mul__` HOT 1
- Dependency Dashboard
- MultiLCA: Check that `method_config` resources are present in data objects
- MultiLCA: Filter data objects to those referred to in `method_config`
- Add tests for `scikit-umfpack` and `sparselu` solvers HOT 5
- Prepare for switch to sparse arrays
- MultiLCA checklist
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