Add CBC solver; update linopy version (#97)

Adds CBC solver as per #88 
Uses the new version of linopy that has
PyPSA/linopy#410 so this closes
#68

Author: siddharth-krishna

runner/envs/benchmark-2020-fixed.yaml

@@ -2,83 +2,83 @@ name: benchmark-2020
 channels:
   - conda-forge
   - https://conda.anaconda.org/gurobi
-  - defaults
+  - nodefaults
 dependencies:
   - _libgcc_mutex=0.1=conda_forge
   - _openmp_mutex=4.5=2_gnu
-  - bottleneck=1.4.2=py312hc0a28a1_0
-  - brotli-python=1.1.0=py312h2ec8cdc_2
+  - brotli-python=1.1.0=py313h46c70d0_2
   - bzip2=1.0.8=h4bc722e_7
-  - ca-certificates=2024.8.30=hbcca054_0
-  - certifi=2024.8.30=pyhd8ed1ab_0
-  - cffi=1.17.1=py312h06ac9bb_0
-  - charset-normalizer=3.4.0=pyhd8ed1ab_0
-  - click=8.1.7=unix_pyh707e725_0
-  - cloudpickle=3.1.0=pyhd8ed1ab_1
-  - colorama=0.4.6=pyhd8ed1ab_0
-  - dask-core=2024.11.2=pyhff2d567_1
-  - deprecation=2.1.0=pyh9f0ad1d_0
-  - fsspec=2024.10.0=pyhff2d567_0
+  - ca-certificates=2025.1.31=hbcca054_0
+  - certifi=2025.1.31=pyhd8ed1ab_0
+  - cffi=1.17.1=py313hfab6e84_0
+  - charset-normalizer=3.4.1=pyhd8ed1ab_0
+  - coin-or-cbc=2.10.5=h9c3ff4c_6
+  - coin-or-cgl=0.60.9=h1d3f3f2_0
+  - coin-or-clp=1.17.10=h07f2a63_0
+  - coin-or-osi=0.108.11=h6514dde_1
+  - coin-or-utils=2.11.12=h99da652_1
   - glpk=5.0=h445213a_0
   - gmp=6.3.0=hac33072_2
-  - h2=4.1.0=pyhd8ed1ab_0
-  - hpack=4.0.0=pyh9f0ad1d_0
-  - hyperframe=6.0.1=pyhd8ed1ab_0
-  - idna=3.10=pyhd8ed1ab_0
-  - importlib-metadata=8.5.0=pyha770c72_0
+  - h2=4.2.0=pyhd8ed1ab_0
+  - hpack=4.1.0=pyhd8ed1ab_0
+  - hyperframe=6.1.0=pyhd8ed1ab_0
+  - idna=3.10=pyhd8ed1ab_1
   - ld_impl_linux-64=2.43=h712a8e2_2
-  - libblas=3.9.0=25_linux64_openblas
-  - libcblas=3.9.0=25_linux64_openblas
+  - libblas=3.9.0=28_h59b9bed_openblas
+  - libcblas=3.9.0=28_he106b2a_openblas
   - libexpat=2.6.4=h5888daf_0
-  - libffi=3.4.2=h7f98852_5
+  - libffi=3.4.6=h2dba641_0
   - libgcc=14.2.0=h77fa898_1
   - libgcc-ng=14.2.0=h69a702a_1
   - libgfortran=14.2.0=h69a702a_1
+  - libgfortran-ng=14.2.0=h69a702a_1
   - libgfortran5=14.2.0=hd5240d6_1
   - libgomp=14.2.0=h77fa898_1
-  - liblapack=3.9.0=25_linux64_openblas
-  - libnsl=2.0.1=hd590300_0
+  - liblapack=3.9.0=28_h7ac8fdf_openblas
+  - liblapacke=3.9.0=28_he2f377e_openblas
+  - liblzma=5.6.4=hb9d3cd8_0
+  - libmpdec=4.0.0=h4bc722e_0
   - libopenblas=0.3.28=pthreads_h94d23a6_1
-  - libsqlite=3.47.0=hadc24fc_1
+  - libsqlite=3.48.0=hee588c1_1
   - libstdcxx=14.2.0=hc0a3c3a_1
   - libstdcxx-ng=14.2.0=h4852527_1
   - libuuid=2.38.1=h0b41bf4_0
-  - libxcrypt=4.4.36=hd590300_1
   - libzlib=1.3.1=hb9d3cd8_2
-  - linopy=0.4.2=pyhff2d567_0
-  - locket=1.0.0=pyhd8ed1ab_0
-  - ncurses=6.5=he02047a_1
-  - nomkl=1.0=h5ca1d4c_0
-  - numexpr=2.10.1=py312h6a710ac_103
-  - numpy=1.26.4=py312heda63a1_0
-  - openssl=3.4.0=hb9d3cd8_0
-  - packaging=24.2=pyhff2d567_1
-  - pandas=2.2.3=py312hf9745cd_1
-  - partd=1.4.2=pyhd8ed1ab_0
-  - pip=24.3.1=pyh8b19718_0
-  - polars=1.12.0=py312hfe7c9be_1
-  - pycparser=2.22=pyhd8ed1ab_0
-  - pysocks=1.7.1=pyha2e5f31_6
-  - python=3.12.7=hc5c86c4_0_cpython
-  - python-dateutil=2.9.0.post0=pyhff2d567_0
-  - python-tzdata=2024.2=pyhd8ed1ab_0
-  - python_abi=3.12=5_cp312
-  - pytz=2024.1=pyhd8ed1ab_0
-  - pyyaml=6.0.2=py312h66e93f0_1
+  - ncurses=6.5=h2d0b736_3
+  - openssl=3.4.1=h7b32b05_0
+  - pip=25.0.1=pyh145f28c_0
+  - pycparser=2.22=pyh29332c3_1
+  - pysocks=1.7.1=pyha55dd90_7
+  - python=3.13.2=hf636f53_100_cp313
+  - python_abi=3.13=5_cp313
   - readline=8.2=h8228510_1
-  - requests=2.32.3=pyhd8ed1ab_0
-  - scipy=1.14.1=py312h62794b6_1
-  - setuptools=75.6.0=pyhff2d567_0
-  - six=1.16.0=pyh6c4a22f_0
+  - requests=2.32.3=pyhd8ed1ab_1
   - tk=8.6.13=noxft_h4845f30_101
-  - toolz=1.0.0=pyhd8ed1ab_0
-  - tqdm=4.67.0=pyhd8ed1ab_0
-  - tzdata=2024b=hc8b5060_0
-  - urllib3=2.2.3=pyhd8ed1ab_0
-  - wheel=0.45.0=pyhd8ed1ab_0
-  - xarray=2024.10.0=pyhd8ed1ab_0
-  - xz=5.2.6=h166bdaf_0
-  - yaml=0.2.5=h7f98852_2
-  - zipp=3.21.0=pyhd8ed1ab_0
-  - zstandard=0.23.0=py312hef9b889_1
+  - urllib3=2.3.0=pyhd8ed1ab_0
+  - zstandard=0.23.0=py313h80202fe_1
   - zstd=1.5.6=ha6fb4c9_0
+  - pip:
+      - bottleneck==1.4.2
+      - click==8.1.8
+      - cloudpickle==3.1.1
+      - dask==2025.2.0
+      - deprecation==2.1.0
+      - fsspec==2025.2.0
+      - linopy==0.5.0
+      - locket==1.0.0
+      - numexpr==2.10.2
+      - numpy==1.26.4
+      - packaging==24.2
+      - pandas==2.2.3
+      - partd==1.4.2
+      - polars==1.22.0
+      - python-dateutil==2.9.0.post0
+      - pytz==2025.1
+      - pyyaml==6.0.2
+      - scipy==1.15.1
+      - six==1.17.0
+      - toolz==1.0.0
+      - tqdm==4.67.1
+      - tzdata==2025.1
+      - xarray==2025.1.2
+prefix: /scratch/htc/skrishna/conda/envs/benchmark-2020

runner/envs/benchmark-2020.yaml

@@ -7,12 +7,15 @@ dependencies:
 - python>=3.9
 - pip
 
-- linopy>=0.4.1
 - requests>=2.32
 
+- coin-or-cbc==2.10.5
 # - scip==7.0.2 # TODO errors with AttributeError: 'pyscipopt.scip.Model' object has no attribute 'getDualSolVal'
 # - pyscipopt==3.1.0
 - glpk==5.0.0
 # - gurobi==9.1.1  # TODO needs py<39 but linopy needs py>39
 
 # HiGHS was released first in 2021 so it is omitted here
+
+- pip:
+  - linopy>=0.5.0

runner/envs/benchmark-2021-fixed.yaml

@@ -2,81 +2,68 @@ name: benchmark-2021
 channels:
   - conda-forge
   - https://conda.anaconda.org/gurobi
-  - defaults
+  - nodefaults
 dependencies:
   - _libgcc_mutex=0.1=conda_forge
   - _openmp_mutex=4.5=2_gnu
-  - bottleneck=1.4.2=py312hc0a28a1_0
-  - brotli-python=1.1.0=py312h2ec8cdc_2
+  - brotli-python=1.1.0=py313h46c70d0_2
   - bzip2=1.0.8=h4bc722e_7
-  - ca-certificates=2024.8.30=hbcca054_0
-  - certifi=2024.8.30=pyhd8ed1ab_0
-  - cffi=1.17.1=py312h06ac9bb_0
-  - charset-normalizer=3.4.0=pyhd8ed1ab_0
-  - click=8.1.7=unix_pyh707e725_0
-  - cloudpickle=3.1.0=pyhd8ed1ab_1
-  - colorama=0.4.6=pyhd8ed1ab_0
-  - dask-core=2024.11.2=pyhff2d567_1
-  - deprecation=2.1.0=pyh9f0ad1d_0
-  - fsspec=2024.10.0=pyhff2d567_0
-  - h2=4.1.0=pyhd8ed1ab_0
-  - hpack=4.0.0=pyh9f0ad1d_0
-  - hyperframe=6.0.1=pyhd8ed1ab_0
-  - idna=3.10=pyhd8ed1ab_0
-  - importlib-metadata=8.5.0=pyha770c72_0
+  - ca-certificates=2025.1.31=hbcca054_0
+  - certifi=2025.1.31=pyhd8ed1ab_0
+  - cffi=1.17.1=py313hfab6e84_0
+  - charset-normalizer=3.4.1=pyhd8ed1ab_0
+  - h2=4.2.0=pyhd8ed1ab_0
+  - hpack=4.1.0=pyhd8ed1ab_0
+  - hyperframe=6.1.0=pyhd8ed1ab_0
+  - idna=3.10=pyhd8ed1ab_1
   - ld_impl_linux-64=2.43=h712a8e2_2
-  - libblas=3.9.0=25_linux64_openblas
-  - libcblas=3.9.0=25_linux64_openblas
   - libexpat=2.6.4=h5888daf_0
-  - libffi=3.4.2=h7f98852_5
+  - libffi=3.4.6=h2dba641_0
   - libgcc=14.2.0=h77fa898_1
   - libgcc-ng=14.2.0=h69a702a_1
-  - libgfortran=14.2.0=h69a702a_1
-  - libgfortran5=14.2.0=hd5240d6_1
   - libgomp=14.2.0=h77fa898_1
-  - liblapack=3.9.0=25_linux64_openblas
-  - libnsl=2.0.1=hd590300_0
-  - libopenblas=0.3.28=pthreads_h94d23a6_1
-  - libsqlite=3.47.0=hadc24fc_1
+  - liblzma=5.6.4=hb9d3cd8_0
+  - libmpdec=4.0.0=h4bc722e_0
+  - libsqlite=3.48.0=hee588c1_1
   - libstdcxx=14.2.0=hc0a3c3a_1
   - libstdcxx-ng=14.2.0=h4852527_1
   - libuuid=2.38.1=h0b41bf4_0
-  - libxcrypt=4.4.36=hd590300_1
   - libzlib=1.3.1=hb9d3cd8_2
-  - linopy=0.4.2=pyhff2d567_0
-  - locket=1.0.0=pyhd8ed1ab_0
-  - ncurses=6.5=he02047a_1
-  - nomkl=1.0=h5ca1d4c_0
-  - numexpr=2.10.1=py312h6a710ac_103
-  - numpy=1.26.4=py312heda63a1_0
-  - openssl=3.4.0=hb9d3cd8_0
-  - packaging=24.2=pyhff2d567_1
-  - pandas=2.2.3=py312hf9745cd_1
-  - partd=1.4.2=pyhd8ed1ab_0
-  - pip=24.3.1=pyh8b19718_0
-  - polars=1.12.0=py312hfe7c9be_1
-  - pycparser=2.22=pyhd8ed1ab_0
-  - pysocks=1.7.1=pyha2e5f31_6
-  - python=3.12.7=hc5c86c4_0_cpython
-  - python-dateutil=2.9.0.post0=pyhff2d567_0
-  - python-tzdata=2024.2=pyhd8ed1ab_0
-  - python_abi=3.12=5_cp312
-  - pytz=2024.1=pyhd8ed1ab_0
-  - pyyaml=6.0.2=py312h66e93f0_1
+  - ncurses=6.5=h2d0b736_3
+  - openssl=3.4.1=h7b32b05_0
+  - pip=25.0.1=pyh145f28c_0
+  - pycparser=2.22=pyh29332c3_1
+  - pysocks=1.7.1=pyha55dd90_7
+  - python=3.13.2=hf636f53_100_cp313
+  - python_abi=3.13=5_cp313
   - readline=8.2=h8228510_1
-  - requests=2.32.3=pyhd8ed1ab_0
-  - scipy=1.14.1=py312h62794b6_1
-  - setuptools=75.6.0=pyhff2d567_0
-  - six=1.16.0=pyh6c4a22f_0
+  - requests=2.32.3=pyhd8ed1ab_1
   - tk=8.6.13=noxft_h4845f30_101
-  - toolz=1.0.0=pyhd8ed1ab_0
-  - tqdm=4.67.0=pyhd8ed1ab_0
-  - tzdata=2024b=hc8b5060_0
-  - urllib3=2.2.3=pyhd8ed1ab_0
-  - wheel=0.45.0=pyhd8ed1ab_0
-  - xarray=2024.10.0=pyhd8ed1ab_0
-  - xz=5.2.6=h166bdaf_0
-  - yaml=0.2.5=h7f98852_2
-  - zipp=3.21.0=pyhd8ed1ab_0
-  - zstandard=0.23.0=py312hef9b889_1
+  - urllib3=2.3.0=pyhd8ed1ab_0
+  - zstandard=0.23.0=py313h80202fe_1
   - zstd=1.5.6=ha6fb4c9_0
+  - pip:
+      - bottleneck==1.4.2
+      - click==8.1.8
+      - cloudpickle==3.1.1
+      - dask==2025.2.0
+      - deprecation==2.1.0
+      - fsspec==2025.2.0
+      - linopy==0.5.0
+      - locket==1.0.0
+      - numexpr==2.10.2
+      - numpy==1.26.4
+      - packaging==24.2
+      - pandas==2.2.3
+      - partd==1.4.2
+      - polars==1.22.0
+      - python-dateutil==2.9.0.post0
+      - pytz==2025.1
+      - pyyaml==6.0.2
+      - scipy==1.15.1
+      - six==1.17.0
+      - toolz==1.0.0
+      - tqdm==4.67.1
+      - tzdata==2025.1
+      - xarray==2025.1.2
+prefix: /scratch/htc/skrishna/conda/envs/benchmark-2021

runner/envs/benchmark-2021.yaml

@@ -7,11 +7,13 @@ dependencies:
 - python>=3.9
 - pip
 
-- linopy>=0.4.1
 - requests>=2.32
 
 # - scip==7.0.3  # TODO errors with AttributeError: 'pyscipopt.scip.Model' object has no attribute 'getDualSolVal'
 # - pyscipopt==3.4.0
 # - gurobi==9.5.0  # TODO this doesn't work with py39 but linopy needs py39
 
 # TODO highspy 1.1.1 wasn't released to PyPI, and had no setup.py/pyproject.toml so couldn't install via conda or pip, so omitted..
+
+- pip:
+  - linopy>=0.5.0