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[condalock-command] autogenerated conda-lock files
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47 changes: 23 additions & 24 deletions conda-linux-64.lock
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# Generated by conda-lock.
# platform: linux-64
# input_hash: 096cc83cb9582cb4b1621dfb7ed37608dffcf13651eb88ca302e2d5f2edc31bc
# input_hash: 563db1c2ed81e241f7d18f01ab232270d91ce3761e8a0c2c5e1cb775ae337ec3
@EXPLICIT
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Expand All @@ -16,7 +16,7 @@ https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.40-hf3520f5_7
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Expand Down Expand Up @@ -82,10 +82,10 @@ https://conda.anaconda.org/conda-forge/linux-64/xorg-xproto-7.0.31-h7f98852_1007
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Expand Down Expand Up @@ -189,14 +189,14 @@ https://conda.anaconda.org/conda-forge/linux-64/xcb-util-renderutil-0.3.9-hd5903
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Expand Down Expand Up @@ -280,7 +280,7 @@ https://conda.anaconda.org/conda-forge/noarch/mypy_extensions-1.0.0-pyha770c72_0
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https://conda.anaconda.org/conda-forge/linux-64/libarrow-acero-17.0.0-he02047a_8_cpu.conda#1151aa2dcc30d03c775b8233334f7d24
https://conda.anaconda.org/conda-forge/linux-64/libgdal-tiledb-3.9.1-h9d8aadb_13.conda#13310f0639fc1946e99e5c28662978c0
https://conda.anaconda.org/conda-forge/linux-64/libparquet-17.0.0-haa1307c_7_cpu.conda#7448f406b12fc479eb5a7dbf485c0428
https://conda.anaconda.org/conda-forge/linux-64/libparquet-17.0.0-haa1307c_8_cpu.conda#7a1e06213539848b4d4b624a0f6307b8
https://conda.anaconda.org/conda-forge/linux-64/libpdal-hdf-2.7.2-h069cff2_5.conda#bf98bc700f702a86fbbd126d4e79611c
https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.4-pyhd8ed1ab_1.conda#e2d2abb421c13456a9a9f80272fdf543
https://conda.anaconda.org/conda-forge/linux-64/pyarrow-core-17.0.0-py311h4510849_1_cpu.conda#228ea6517619bb88837e38d6cda37959
Expand All @@ -716,7 +716,7 @@ https://conda.anaconda.org/conda-forge/noarch/google-cloud-storage-2.18.2-pyhff2
https://conda.anaconda.org/conda-forge/noarch/hvplot-0.10.0-pyhd8ed1ab_0.conda#62e8362edc9bb3380e63186d4ad3e735
https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.14.2-pyhd8ed1ab_0.conda#ca23c71f70a7c7935b3d03f0f1a5801d
https://conda.anaconda.org/conda-forge/noarch/langchain-0.2.14-pyhd8ed1ab_0.conda#5b3c746e9f8e779181c5d31b65a62269
https://conda.anaconda.org/conda-forge/linux-64/libarrow-dataset-17.0.0-he02047a_7_cpu.conda#ad26d57360f2019840af562ddf3cb7d2
https://conda.anaconda.org/conda-forge/linux-64/libarrow-dataset-17.0.0-he02047a_8_cpu.conda#7e06a68fda280d149d9a43bae84dd374
https://conda.anaconda.org/conda-forge/linux-64/libgdal-3.9.1-ha770c72_13.conda#65d475b84d3c1b7a49709aedd9b1233a
https://conda.anaconda.org/conda-forge/linux-64/libpdal-tiledb-2.7.2-h38edd9e_5.conda#8cbe4cb53e2447e5e614aae3a02bb335
https://conda.anaconda.org/conda-forge/linux-64/matplotlib-3.9.1-py311h38be061_1.conda#41c69da88172782ae410c283e32608c7
Expand All @@ -736,7 +736,7 @@ https://conda.anaconda.org/conda-forge/noarch/jupyterlab-h5web-11.1.0-pyhd8ed1ab
https://conda.anaconda.org/conda-forge/noarch/jupyterlab-myst-2.4.2-pyhd8ed1ab_0.conda#cc481204ea9c53cda7ac187efa0268a1
https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.27.3-pyhd8ed1ab_0.conda#af8239bf1ba7e8c69b689f780f653488
https://conda.anaconda.org/conda-forge/noarch/langchain-community-0.2.12-pyhd8ed1ab_0.conda#531058cf6a591227798370c116a046c1
https://conda.anaconda.org/conda-forge/linux-64/libarrow-substrait-17.0.0-hc9a23c6_7_cpu.conda#a0207293ee147d04b46b44d60266d964
https://conda.anaconda.org/conda-forge/linux-64/libarrow-substrait-17.0.0-hc9a23c6_8_cpu.conda#613b7846b912a62c4f3e50afc1635707
https://conda.anaconda.org/conda-forge/linux-64/libgdal-arrow-parquet-3.9.1-hcb48e43_13.conda#39eb6d0231fdbca711f9f881cef41f51
https://conda.anaconda.org/conda-forge/noarch/nbconvert-7.16.4-hd8ed1ab_1.conda#ab83e3b9ca2b111d8f332e9dc8b2170f
https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.4-pyhd8ed1ab_0.conda#3d85618e2c97ab896b5b5e298d32b5b3
Expand Down Expand Up @@ -801,6 +801,5 @@ https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-htmlhelp-2.1.0-pyhd8
https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-qthelp-2.0.0-pyhd8ed1ab_0.conda#d6e5ea5fe00164ac6c2dcc5d76a42192
https://conda.anaconda.org/conda-forge/noarch/sphinx-7.3.7-pyhd8ed1ab_0.conda#7b1465205e28d75d2c0e1a868ee00a67
https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-serializinghtml-1.1.10-pyhd8ed1ab_0.conda#e507335cb4ca9cff4c3d0fa9cdab255e
# pip hydroeval @ https://files.pythonhosted.org/packages/4a/da/79c0aa3fc7ddea675a8006beb6c0824ae3430727e0f5141838161d0bfdda/hydroeval-0.1.0-py3-none-any.whl#sha256=522eca99468a0f2a7670232837a459cdde847d69a4c6bface98856e2e57123f5
# pip jupyter-desktop-server @ https://files.pythonhosted.org/packages/15/df/6f249cd3c3db684c8f9e67bc5470c4b593f882fbb03b1649f72ae7a26566/jupyter-desktop-server-0.1.3.tar.gz#sha256=5915a2dbbe250f59b3cc01859297b26b2e1836e03a5db4bfbfd438005649d7e4
# pip nbconvert @ https://files.pythonhosted.org/packages/b8/bb/bb5b6a515d1584aa2fd89965b11db6632e4bdc69495a52374bcc36e56cfa/nbconvert-7.16.4-py3-none-any.whl#sha256=05873c620fe520b6322bf8a5ad562692343fe3452abda5765c7a34b7d1aa3eb3
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