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Use environment.yml (or something like that) in CI #449

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@ricardoV94

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@ricardoV94

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The CI dependencies are completely dissociated from the conda pytensor-dev environment specified by environment.yml.

This led to need a separate commit in #448 that should have gone into #446

- name: Install dependencies
shell: bash -l {0}
run: |
mamba install --yes -q "python~=${PYTHON_VERSION}=*_cpython" mkl numpy scipy pip mkl-service graphviz cython pytest coverage pytest-cov pytest-benchmark pytest-mock sympy
# numba-scipy downgrades the installed scipy to 1.7.3 in Python 3.9, but
# not numpy, even though scipy 1.7 requires numpy<1.23. When installing
# PyTensor next, pip installs a lower version of numpy via the PyPI.
if [[ $INSTALL_NUMBA == "1" ]] && [[ $PYTHON_VERSION == "3.9" ]]; then mamba install --yes -q -c conda-forge "python~=${PYTHON_VERSION}=*_cpython" "numpy<1.23" "numba>=0.57" numba-scipy; fi
if [[ $INSTALL_NUMBA == "1" ]] && [[ $PYTHON_VERSION != "3.9" ]]; then mamba install --yes -q -c conda-forge "python~=${PYTHON_VERSION}=*_cpython" "numba>=0.57" numba-scipy; fi
if [[ $INSTALL_JAX == "1" ]]; then mamba install --yes -q -c conda-forge "python~=${PYTHON_VERSION}=*_cpython" jax jaxlib numpyro && pip install tensorflow-probability; fi
pip install -e ./
mamba list && pip freeze
python -c 'import pytensor; print(pytensor.config.__str__(print_doc=False))'
python -c 'import pytensor; assert pytensor.config.blas__ldflags != "", "Blas flags are empty"'

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