Merge branch 'main' into test_optimal_kerchunk

Author: valeriupredoi

conda-linux-64.lock

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-https://conda.anaconda.org/conda-forge/noarch/aiobotocore-2.13.1-pyhd8ed1ab_0.conda#64ebb883a6c94f2a18aafedecc215351
+https://conda.anaconda.org/conda-forge/noarch/aiobotocore-2.13.2-pyhd8ed1ab_0.conda#c188c514ef97f345144d7840128c0a1d
 https://conda.anaconda.org/conda-forge/noarch/kerchunk-0.2.6-pyhd8ed1ab_0.conda#1e8d30ede5a3b9146551532091dc23cd
-https://conda.anaconda.org/conda-forge/linux-64/libarrow-17.0.0-h4b47046_3_cpu.conda#c4e92e0d3c8b065294ac61a33cb0abc6
-https://conda.anaconda.org/conda-forge/linux-64/libarrow-acero-17.0.0-he02047a_3_cpu.conda#8e3a0843cc7c09921c65ad80fe28d801
-https://conda.anaconda.org/conda-forge/linux-64/libparquet-17.0.0-h9e5060d_3_cpu.conda#f6eb0a9b55a0cd22bd8dede025562ede
-https://conda.anaconda.org/conda-forge/linux-64/pyarrow-core-17.0.0-py312h264c024_0_cpu.conda#5b70c592fec73f73770efac74217ebc1
+https://conda.anaconda.org/conda-forge/linux-64/libarrow-17.0.0-h1aed627_5_cpu.conda#1837de4a52c78963fe2d295fc7e2bd16
+https://conda.anaconda.org/conda-forge/linux-64/libarrow-acero-17.0.0-he02047a_5_cpu.conda#d099cfec7c449b132abc6bb551eb68d4
+https://conda.anaconda.org/conda-forge/linux-64/libparquet-17.0.0-h9e5060d_5_cpu.conda#5c412bc226a829242263bab19c729be3
+https://conda.anaconda.org/conda-forge/linux-64/pyarrow-core-17.0.0-py312h9cafe31_1_cpu.conda#235827b9c93850cafdd2d5ab359893f9
 https://conda.anaconda.org/conda-forge/noarch/s3fs-2024.6.1-pyhd8ed1ab_0.conda#2120af180562f945c3fccc39972023da
-https://conda.anaconda.org/conda-forge/linux-64/libarrow-dataset-17.0.0-he02047a_3_cpu.conda#6cf5d038ca5cfd29988c4a05cd5a6276
-https://conda.anaconda.org/conda-forge/linux-64/libarrow-substrait-17.0.0-hc9a23c6_3_cpu.conda#5014dd2d204f163d5296b7c803b6c1ca
-https://conda.anaconda.org/conda-forge/linux-64/pyarrow-17.0.0-py312h9cebb41_0.conda#2ae7d9f1d04309e421b5feb4ab8bede5
-https://conda.anaconda.org/conda-forge/noarch/dask-expr-1.1.9-pyhd8ed1ab_0.conda#1fdd81b57dd1e4a38b6e57f1138f4e61
+https://conda.anaconda.org/conda-forge/linux-64/libarrow-dataset-17.0.0-he02047a_5_cpu.conda#0ca3d939da1889c3d7557d34b60463b1
+https://conda.anaconda.org/conda-forge/linux-64/libarrow-substrait-17.0.0-hc9a23c6_5_cpu.conda#c8e65c04fcb8d387921843c8cf479854
+https://conda.anaconda.org/conda-forge/linux-64/pyarrow-17.0.0-py312h9cebb41_1.conda#7e8ddbd44fb99ba376b09c4e9e61e509
+https://conda.anaconda.org/conda-forge/noarch/dask-expr-1.1.10-pyhd8ed1ab_0.conda#88efd31bf04d9f7a2ac7d02ab568d37d
 https://conda.anaconda.org/conda-forge/noarch/pyarrow-hotfix-0.6-pyhd8ed1ab_0.conda#ccc06e6ef2064ae129fab3286299abda
-https://conda.anaconda.org/conda-forge/noarch/dask-2024.7.1-pyhd8ed1ab_0.conda#fa1908a0e13396792ff849a34171d90e
+https://conda.anaconda.org/conda-forge/noarch/dask-2024.8.0-pyhd8ed1ab_0.conda#795f3557b117402208fe1e0e20d943ed

environment.yml

@@ -6,7 +6,7 @@ channels:
 
 dependencies:
   - python >=3.9
-  - dask
+  - dask !=2024.8.0  # github.com/dask/dask/issues/11296
   - fsspec
   - h5netcdf
   - h5py  # needed by Kerchunk

setup.py

@@ -18,7 +18,7 @@
     # Installation dependencies
     # Use with pip install . to install from source
     'install': [
-        'dask',
+        'dask!=2024.8.0',  # github.com/dask/dask/issues/11296
         'fsspec',
         'h5netcdf',
         'h5py',  # needed by Kerchunk