repodata_packages
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Link | repodata_id | package | index_json | timestamp |
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1,__anaconda_core_depends-2024.06-py310_mkl_0.conda | 1 1 | __anaconda_core_depends-2024.06-py310_mkl_0.conda | { "build": "py310_mkl_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "blas * mkl", "bokeh", "datashader", "gensim", "holoviews", "hvplot", "imbalanced-learn", "jupyterlab", "matplotlib-base", "networkx", "nltk", "notebook", "numba", "numpy", "pandas", "panel", "pillow", "plotly", "python >=3.10,<3.11.0a0", "pywavelets", "scikit-learn", "scipy", "seaborn", "snowballstemmer", "statsmodels", "sympy", "tabulate", "urllib3" ], "license": "LicenseRef-Anaconda-End-User-License-Agreement", "license_family": "Other", "md5": "83a510d9a97e17d550bd663d175fc3ee", "name": "__anaconda_core_depends", "sha256": "24a87b9ebc5fcfc6b29639b8657e69cbc083b9cdb3dcfeaec6c6bb38b94a267c", "size": 100507, "subdir": "linux-64", "timestamp": 1718836154216, "version": "2024.06" } |
2024-07-02 15:02:30 |
1,__anaconda_core_depends-2024.06-py310_mkl_0.tar.bz2 | 1 1 | __anaconda_core_depends-2024.06-py310_mkl_0.tar.bz2 | { "build": "py310_mkl_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "blas * mkl", "bokeh", "datashader", "gensim", "holoviews", "hvplot", "imbalanced-learn", "jupyterlab", "matplotlib-base", "networkx", "nltk", "notebook", "numba", "numpy", "pandas", "panel", "pillow", "plotly", "python >=3.10,<3.11.0a0", "pywavelets", "scikit-learn", "scipy", "seaborn", "snowballstemmer", "statsmodels", "sympy", "tabulate", "urllib3" ], "license": "LicenseRef-Anaconda-End-User-License-Agreement", "license_family": "Other", "md5": "bb3494d6d043327eb7432b06a2a98cb6", "name": "__anaconda_core_depends", "sha256": "21ff94d2d4bf16bad479c69e20f091689a78370d751954bbd0135bc7f2525dd4", "size": 73432, "subdir": "linux-64", "timestamp": 1718836154216, "version": "2024.06" } |
2024-07-02 15:02:30 |
1,__anaconda_core_depends-2024.06-py310_mkl_1.conda | 1 1 | __anaconda_core_depends-2024.06-py310_mkl_1.conda | { "build": "py310_mkl_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "blas * mkl", "bokeh", "datashader", "gensim", "holoviews", "hvplot", "imbalanced-learn", "jupyterlab", "matplotlib-base", "networkx", "nltk", "notebook", "numba", "numpy", "pandas", "panel", "pillow", "plotly", "python >=3.10,<3.11.0a0", "pywavelets", "scikit-learn", "scipy", "seaborn", "snowballstemmer", "statsmodels", "sympy", "tabulate", "urllib3" ], "license": "LicenseRef-Anaconda-End-User-License-Agreement", "license_family": "Other", "md5": "74d38e1ae8c614723cbc405f88c03013", "name": "__anaconda_core_depends", "sha256": "9ce0fee73f17c7f4dcfe0115faee53793086a7e99b94e1528e597e111819d9f7", "size": 100281, "subdir": "linux-64", "timestamp": 1718986648220, "version": "2024.06" } |
2024-07-02 15:02:30 |
1,__anaconda_core_depends-2024.06-py310_mkl_1.tar.bz2 | 1 1 | __anaconda_core_depends-2024.06-py310_mkl_1.tar.bz2 | { "build": "py310_mkl_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "blas * mkl", "bokeh", "datashader", "gensim", "holoviews", "hvplot", "imbalanced-learn", "jupyterlab", "matplotlib-base", "networkx", "nltk", "notebook", "numba", "numpy", "pandas", "panel", "pillow", "plotly", "python >=3.10,<3.11.0a0", "pywavelets", "scikit-learn", "scipy", "seaborn", "snowballstemmer", "statsmodels", "sympy", "tabulate", "urllib3" ], "license": "LicenseRef-Anaconda-End-User-License-Agreement", "license_family": "Other", "md5": "d878bad5dc1c4b8e75ab9ebc1ad7e090", "name": "__anaconda_core_depends", "sha256": "e593e4f93334f517b7475c687e67b0b27231f89ea406eff8e36f22763a0d0241", "size": 73222, "subdir": "linux-64", "timestamp": 1718986648220, "version": "2024.06" } |
2024-07-02 15:02:30 |
1,__anaconda_core_depends-2024.06-py310_mkl_2.conda | 1 1 | __anaconda_core_depends-2024.06-py310_mkl_2.conda | { "build": "py310_mkl_2", "build_number": 2, "depends": [ "astropy", "beautifulsoup4", "blas * mkl", "bokeh", "datashader", "gensim", "holoviews", "hvplot", "imbalanced-learn", "jupyterlab", "matplotlib-base", "networkx", "nltk", "notebook", "numba", "numpy", "pandas", "panel", "pillow", "plotly", "python >=3.10,<3.11.0a0", "pywavelets", "scikit-learn", "scipy", "seaborn", "snowballstemmer", "statsmodels", "sympy", "tabulate", "urllib3" ], "license": "LicenseRef-Anaconda-End-User-License-Agreement", "license_family": "Other", "md5": "8ddfa60bf3fe35d790c0bc99d902030a", "name": "__anaconda_core_depends", "sha256": "377cc01db18492d73bce484022d12df862fa54a820b0e2ce15835b3e0328d304", "size": 100269, "subdir": "linux-64", "timestamp": 1719010759815, "version": "2024.06" } |
2024-07-02 15:02:30 |
1,__anaconda_core_depends-2024.06-py310_mkl_2.tar.bz2 | 1 1 | __anaconda_core_depends-2024.06-py310_mkl_2.tar.bz2 | { "build": "py310_mkl_2", "build_number": 2, "depends": [ "astropy", "beautifulsoup4", "blas * mkl", "bokeh", "datashader", "gensim", "holoviews", "hvplot", "imbalanced-learn", "jupyterlab", "matplotlib-base", "networkx", "nltk", "notebook", "numba", "numpy", "pandas", "panel", "pillow", "plotly", "python >=3.10,<3.11.0a0", "pywavelets", "scikit-learn", "scipy", "seaborn", "snowballstemmer", "statsmodels", "sympy", "tabulate", "urllib3" ], "license": "LicenseRef-Anaconda-End-User-License-Agreement", "license_family": "Other", "md5": "0852eebadac704f26b668b7b30324567", "name": "__anaconda_core_depends", "sha256": "472135673be5c6107ed699eeeebd9300efd6a684ac0bdd6b2e53ce8d974582bf", "size": 73218, "subdir": "linux-64", "timestamp": 1719010759815, "version": "2024.06" } |
2024-07-02 15:02:30 |
1,__anaconda_core_depends-2024.06-py310_openblas_0.conda | 1 1 | __anaconda_core_depends-2024.06-py310_openblas_0.conda | { "build": "py310_openblas_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "blas * openblas", "bokeh", "datashader", "gensim", "holoviews", "hvplot", "imbalanced-learn", "jupyterlab", "matplotlib-base", "networkx", "nltk", "notebook", "numba", "numpy", "pandas", "panel", "pillow", "plotly", "python >=3.10,<3.11.0a0", "pywavelets", "scikit-learn", "scipy", "seaborn", "snowballstemmer", "statsmodels", "sympy", "tabulate", "urllib3" ], "license": "LicenseRef-Anaconda-End-User-License-Agreement", "license_family": "Other", "md5": "256d676ba54392d322dbf0b1247a1f39", "name": "__anaconda_core_depends", "sha256": "fa93c0879119530c9a19a1c92191215ff308118580faf522e7b38eac040e74d1", "size": 100542, "subdir": "linux-64", "timestamp": 1718836182480, "version": "2024.06" } |
2024-07-02 15:02:30 |
1,__anaconda_core_depends-2024.06-py310_openblas_0.tar.bz2 | 1 1 | __anaconda_core_depends-2024.06-py310_openblas_0.tar.bz2 | { "build": "py310_openblas_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "blas * openblas", "bokeh", "datashader", "gensim", "holoviews", "hvplot", "imbalanced-learn", "jupyterlab", "matplotlib-base", "networkx", "nltk", "notebook", "numba", "numpy", "pandas", "panel", "pillow", "plotly", "python >=3.10,<3.11.0a0", "pywavelets", "scikit-learn", "scipy", "seaborn", "snowballstemmer", "statsmodels", "sympy", "tabulate", "urllib3" ], "license": "LicenseRef-Anaconda-End-User-License-Agreement", "license_family": "Other", "md5": "af3a3bf395ec3039f51b06952bf0d949", "name": "__anaconda_core_depends", "sha256": "dfd919b020686dbb0db42a07ac2e1665a69d3bed4fdc83c31fe86dc005001bb9", "size": 73423, "subdir": "linux-64", "timestamp": 1718836182480, "version": "2024.06" } |
2024-07-02 15:02:30 |
1,__anaconda_core_depends-2024.06-py310_openblas_1.conda | 1 1 | __anaconda_core_depends-2024.06-py310_openblas_1.conda | { "build": "py310_openblas_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "blas * openblas", "bokeh", "datashader", "gensim", "holoviews", "hvplot", "imbalanced-learn", "jupyterlab", "matplotlib-base", "networkx", "nltk", "notebook", "numba", "numpy", "pandas", "panel", "pillow", "plotly", "python >=3.10,<3.11.0a0", "pywavelets", "scikit-learn", "scipy", "seaborn", "snowballstemmer", "statsmodels", "sympy", "tabulate", "urllib3" ], "license": "LicenseRef-Anaconda-End-User-License-Agreement", "license_family": "Other", "md5": "b70e5126da5cee3454afb983e570bcc3", "name": "__anaconda_core_depends", "sha256": "21199727b3083caf252d885f0283131176910ef1c47592c9487c87283613a833", "size": 100297, "subdir": "linux-64", "timestamp": 1718986620081, "version": "2024.06" } |
2024-07-02 15:02:30 |
1,__anaconda_core_depends-2024.06-py310_openblas_1.tar.bz2 | 1 1 | __anaconda_core_depends-2024.06-py310_openblas_1.tar.bz2 | { "build": "py310_openblas_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "blas * openblas", "bokeh", "datashader", "gensim", "holoviews", "hvplot", "imbalanced-learn", "jupyterlab", "matplotlib-base", "networkx", "nltk", "notebook", "numba", "numpy", "pandas", "panel", "pillow", "plotly", "python >=3.10,<3.11.0a0", "pywavelets", "scikit-learn", "scipy", "seaborn", "snowballstemmer", "statsmodels", "sympy", "tabulate", "urllib3" ], "license": "LicenseRef-Anaconda-End-User-License-Agreement", "license_family": "Other", "md5": "ea600162accbaca0fba83b652c718177", "name": "__anaconda_core_depends", "sha256": "72653727ceac8c8896dbae6b4d4b20e1620f988b1f103a0c97cda8192a7be94a", "size": 73190, "subdir": "linux-64", "timestamp": 1718986620081, "version": "2024.06" } |
2024-07-02 15:02:30 |
1,__anaconda_core_depends-2024.06-py310_openblas_2.conda | 1 1 | __anaconda_core_depends-2024.06-py310_openblas_2.conda | { "build": "py310_openblas_2", "build_number": 2, "depends": [ "astropy", "beautifulsoup4", "blas * openblas", "bokeh", "datashader", "gensim", "holoviews", "hvplot", "imbalanced-learn", "jupyterlab", "matplotlib-base", "networkx", "nltk", "notebook", "numba", "numpy", "pandas", "panel", "pillow", "plotly", "python >=3.10,<3.11.0a0", "pywavelets", "scikit-learn", "scipy", "seaborn", "snowballstemmer", "statsmodels", "sympy", "tabulate", "urllib3" ], "license": "LicenseRef-Anaconda-End-User-License-Agreement", "license_family": "Other", "md5": "3c91d7adb16bef57ae60f1a21825cfa6", "name": "__anaconda_core_depends", "sha256": "65887f322b6037a5dc22c155de54186455828c8ce92e56dfb148c346a681c168", "size": 100301, "subdir": "linux-64", "timestamp": 1719010731837, "version": "2024.06" } |
2024-07-02 15:02:30 |
1,__anaconda_core_depends-2024.06-py310_openblas_2.tar.bz2 | 1 1 | __anaconda_core_depends-2024.06-py310_openblas_2.tar.bz2 | { "build": "py310_openblas_2", "build_number": 2, "depends": [ "astropy", "beautifulsoup4", "blas * openblas", "bokeh", "datashader", "gensim", "holoviews", "hvplot", "imbalanced-learn", "jupyterlab", "matplotlib-base", "networkx", "nltk", "notebook", "numba", "numpy", "pandas", "panel", "pillow", "plotly", "python >=3.10,<3.11.0a0", "pywavelets", "scikit-learn", "scipy", "seaborn", "snowballstemmer", "statsmodels", "sympy", "tabulate", "urllib3" ], "license": "LicenseRef-Anaconda-End-User-License-Agreement", "license_family": "Other", "md5": "1de163c8c643cb9cd5fa451b1f4c6acb", "name": "__anaconda_core_depends", "sha256": "6b5c30ed469e7ff2d3ade3fc6fad17a2758ff2148feb7c2ee8aba7a591a2cc55", "size": 73190, "subdir": "linux-64", "timestamp": 1719010731837, "version": "2024.06" } |
2024-07-02 15:02:30 |
1,__anaconda_core_depends-2024.06-py311_mkl_0.conda | 1 1 | __anaconda_core_depends-2024.06-py311_mkl_0.conda | { "build": "py311_mkl_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "blas * mkl", "bokeh", "datashader", "gensim", "holoviews", "hvplot", "imbalanced-learn", "jupyterlab", "matplotlib-base", "networkx", "nltk", "notebook", "numba", "numpy", "pandas", "panel", "pillow", "plotly", "python >=3.11,<3.12.0a0", "pywavelets", "scikit-learn", "scipy", "seaborn", "snowballstemmer", "statsmodels", "sympy", "tabulate", "urllib3" ], "license": "LicenseRef-Anaconda-End-User-License-Agreement", "license_family": "Other", "md5": "77fca48d02bd656edcdc274c1ec89112", "name": "__anaconda_core_depends", "sha256": "eb097eb76a44decc298a3085a6ad2d7ee153c9f431acf2f102445d77a19ef350", "size": 100497, "subdir": "linux-64", "timestamp": 1718836148648, "version": "2024.06" } |
2024-07-02 15:02:30 |
1,__anaconda_core_depends-2024.06-py311_mkl_0.tar.bz2 | 1 1 | __anaconda_core_depends-2024.06-py311_mkl_0.tar.bz2 | { "build": "py311_mkl_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "blas * mkl", "bokeh", "datashader", "gensim", "holoviews", "hvplot", "imbalanced-learn", "jupyterlab", "matplotlib-base", "networkx", "nltk", "notebook", "numba", "numpy", "pandas", "panel", "pillow", "plotly", "python >=3.11,<3.12.0a0", "pywavelets", "scikit-learn", "scipy", "seaborn", "snowballstemmer", "statsmodels", "sympy", "tabulate", "urllib3" ], "license": "LicenseRef-Anaconda-End-User-License-Agreement", "license_family": "Other", "md5": "a5e5ed3d906765c921a91ce17fad4e73", "name": "__anaconda_core_depends", "sha256": "5c8b4fb905f4a1885b0909200c17b1be539df5119108ab7d4bfbcb3d1ba983bf", "size": 73424, "subdir": "linux-64", "timestamp": 1718836148648, "version": "2024.06" } |
2024-07-02 15:02:30 |
1,__anaconda_core_depends-2024.06-py311_mkl_1.conda | 1 1 | __anaconda_core_depends-2024.06-py311_mkl_1.conda | { "build": "py311_mkl_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "blas * mkl", "bokeh", "datashader", "gensim", "holoviews", "hvplot", "imbalanced-learn", "jupyterlab", "matplotlib-base", "networkx", "nltk", "notebook", "numba", "numpy", "pandas", "panel", "pillow", "plotly", "python >=3.11,<3.12.0a0", "pywavelets", "scikit-learn", "scipy", "seaborn", "snowballstemmer", "statsmodels", "sympy", "tabulate", "urllib3" ], "license": "LicenseRef-Anaconda-End-User-License-Agreement", "license_family": "Other", "md5": "b3d21036017e9329237d75080dbfdd97", "name": "__anaconda_core_depends", "sha256": "989ec8c6bc3c16ae44fae40895c4e523ef2ec63df0db1d15538b84d575cf64fb", "size": 100271, "subdir": "linux-64", "timestamp": 1718986659745, "version": "2024.06" } |
2024-07-02 15:02:30 |
1,__anaconda_core_depends-2024.06-py311_mkl_1.tar.bz2 | 1 1 | __anaconda_core_depends-2024.06-py311_mkl_1.tar.bz2 | { "build": "py311_mkl_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "blas * mkl", "bokeh", "datashader", "gensim", "holoviews", "hvplot", "imbalanced-learn", "jupyterlab", "matplotlib-base", "networkx", "nltk", "notebook", "numba", "numpy", "pandas", "panel", "pillow", "plotly", "python >=3.11,<3.12.0a0", "pywavelets", "scikit-learn", "scipy", "seaborn", "snowballstemmer", "statsmodels", "sympy", "tabulate", "urllib3" ], "license": "LicenseRef-Anaconda-End-User-License-Agreement", "license_family": "Other", "md5": "ee534b000b3071b682947dfc7a3f9d59", "name": "__anaconda_core_depends", "sha256": "03476a5defb640bef7154e9efa83bd4e23e9e4e1ac2681ddceed2177fef8e2c7", "size": 73189, "subdir": "linux-64", "timestamp": 1718986659745, "version": "2024.06" } |
2024-07-02 15:02:30 |
1,__anaconda_core_depends-2024.06-py311_mkl_2.conda | 1 1 | __anaconda_core_depends-2024.06-py311_mkl_2.conda | { "build": "py311_mkl_2", "build_number": 2, "depends": [ "astropy", "beautifulsoup4", "blas * mkl", "bokeh", "datashader", "gensim", "holoviews", "hvplot", "imbalanced-learn", "jupyterlab", "matplotlib-base", "networkx", "nltk", "notebook", "numba", "numpy", "pandas", "panel", "pillow", "plotly", "python >=3.11,<3.12.0a0", "pywavelets", "scikit-learn", "scipy", "seaborn", "snowballstemmer", "statsmodels", "sympy", "tabulate", "urllib3" ], "license": "LicenseRef-Anaconda-End-User-License-Agreement", "license_family": "Other", "md5": "a3c65710e4f4b6ac2687ed40dfc35f6d", "name": "__anaconda_core_depends", "sha256": "2318901e7b9fa5260eb7ca1d7e15ad7a69151c5608f5ba4d948b7a6b6e197824", "size": 100270, "subdir": "linux-64", "timestamp": 1719010765692, "version": "2024.06" } |
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1,__anaconda_core_depends-2024.06-py311_mkl_2.tar.bz2 | 1 1 | __anaconda_core_depends-2024.06-py311_mkl_2.tar.bz2 | { "build": "py311_mkl_2", "build_number": 2, "depends": [ "astropy", "beautifulsoup4", "blas * mkl", "bokeh", "datashader", "gensim", "holoviews", "hvplot", "imbalanced-learn", "jupyterlab", "matplotlib-base", "networkx", "nltk", "notebook", "numba", "numpy", "pandas", "panel", "pillow", "plotly", "python >=3.11,<3.12.0a0", "pywavelets", "scikit-learn", "scipy", "seaborn", "snowballstemmer", "statsmodels", "sympy", "tabulate", "urllib3" ], "license": "LicenseRef-Anaconda-End-User-License-Agreement", "license_family": "Other", "md5": "0331ab0fa9a7a5cbb1f31c7e9493b16e", "name": "__anaconda_core_depends", "sha256": "14c4f0c782fbafc7554e4ea9caeebb5fbea00b41a81c64a4503a525ff4fd2276", "size": 73166, "subdir": "linux-64", "timestamp": 1719010765692, "version": "2024.06" } |
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2024-07-02 15:02:30 |
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py310h06a4308_0", "statsmodels 0.14.2 py310h5eee18b_0", "xarray 2023.6.0 py310h06a4308_0", "datashader 0.16.2 py310h06a4308_0", "panel 1.4.4 py310h06a4308_0", "holoviews 1.19.0 py310h06a4308_0", "hvplot 0.10.0 py310h06a4308_0" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "af1292ec2a3851006bd9979ca36a8f47", "name": "_anaconda_core", "sha256": "196ddaa2f800b78f65afaaa82260e607ad30d8e0c67b071f7926acf0ad6aa4f0", "size": 77763, "subdir": "linux-64", "timestamp": 1718836210908, "version": "2024.06" } |
2024-07-02 15:02:30 |
1,_anaconda_core-2024.06-py310_mkl_1.conda | 1 1 | _anaconda_core-2024.06-py310_mkl_1.conda | { "build": "py310_mkl_1", "build_number": 1, "depends": [ "_libgcc_mutex 0.1 main", "blas 1.0 mkl", "ca-certificates 2024.3.11 h06a4308_0", "ld_impl_linux-64 2.38 h1181459_1", "libgfortran5 11.2.0 h1234567_1", "libstdcxx-ng 11.2.0 h1234567_1", "pybind11-abi 4 hd3eb1b0_1", "tzdata 2024a h04d1e81_0", "libgfortran-ng 11.2.0 h00389a5_1", "libgomp 11.2.0 h1234567_1", "_openmp_mutex 5.1 1_gnu", "libgcc-ng 11.2.0 h1234567_1", "bzip2 1.0.8 h5eee18b_6", "gmp 6.2.1 h295c915_3", "jpeg 9e h5eee18b_1", "lerc 3.0 h295c915_0", "libbrotlicommon 1.0.9 h5eee18b_8", "libdeflate 1.17 h5eee18b_1", "libffi 3.4.4 h6a678d5_1", "libsodium 1.0.18 h7b6447c_0", "libuuid 1.41.5 h5eee18b_0", "libwebp-base 1.3.2 h5eee18b_0", "lz4-c 1.9.4 h6a678d5_1", "ncurses 6.4 h6a678d5_0", "openssl 3.0.14 h5eee18b_0", "tbb 2021.8.0 hdb19cb5_0", "xz 5.4.6 h5eee18b_1", "yaml 0.2.5 h7b6447c_0", "zlib 1.2.13 h5eee18b_1", "intel-openmp 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2024-07-02 15:02:30 |
1,_anaconda_core-2024.06-py310_mkl_1.tar.bz2 | 1 1 | _anaconda_core-2024.06-py310_mkl_1.tar.bz2 | { "build": "py310_mkl_1", "build_number": 1, "depends": [ "_libgcc_mutex 0.1 main", "blas 1.0 mkl", "ca-certificates 2024.3.11 h06a4308_0", "ld_impl_linux-64 2.38 h1181459_1", "libgfortran5 11.2.0 h1234567_1", "libstdcxx-ng 11.2.0 h1234567_1", "pybind11-abi 4 hd3eb1b0_1", "tzdata 2024a h04d1e81_0", "libgfortran-ng 11.2.0 h00389a5_1", "libgomp 11.2.0 h1234567_1", "_openmp_mutex 5.1 1_gnu", "libgcc-ng 11.2.0 h1234567_1", "bzip2 1.0.8 h5eee18b_6", "gmp 6.2.1 h295c915_3", "jpeg 9e h5eee18b_1", "lerc 3.0 h295c915_0", "libbrotlicommon 1.0.9 h5eee18b_8", "libdeflate 1.17 h5eee18b_1", "libffi 3.4.4 h6a678d5_1", "libsodium 1.0.18 h7b6447c_0", "libuuid 1.41.5 h5eee18b_0", "libwebp-base 1.3.2 h5eee18b_0", "lz4-c 1.9.4 h6a678d5_1", "ncurses 6.4 h6a678d5_0", "openssl 3.0.14 h5eee18b_0", "tbb 2021.8.0 hdb19cb5_0", "xz 5.4.6 h5eee18b_1", "yaml 0.2.5 h7b6447c_0", "zlib 1.2.13 h5eee18b_1", "intel-openmp 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2024-07-02 15:02:30 |
1,_anaconda_core-2024.06-py310_mkl_2.conda | 1 1 | _anaconda_core-2024.06-py310_mkl_2.conda | { "build": "py310_mkl_2", "build_number": 2, "depends": [ "_libgcc_mutex 0.1 main", "blas 1.0 mkl", "ca-certificates 2024.3.11 h06a4308_0", "ld_impl_linux-64 2.38 h1181459_1", "libgfortran5 11.2.0 h1234567_1", "libstdcxx-ng 11.2.0 h1234567_1", "pybind11-abi 4 hd3eb1b0_1", "tzdata 2024a h04d1e81_0", "libgfortran-ng 11.2.0 h00389a5_1", "libgomp 11.2.0 h1234567_1", "_openmp_mutex 5.1 1_gnu", "libgcc-ng 11.2.0 h1234567_1", "bzip2 1.0.8 h5eee18b_6", "gmp 6.2.1 h295c915_3", "jpeg 9e h5eee18b_1", "lerc 3.0 h295c915_0", "libbrotlicommon 1.0.9 h5eee18b_8", "libdeflate 1.17 h5eee18b_1", "libffi 3.4.4 h6a678d5_1", "libsodium 1.0.18 h7b6447c_0", "libuuid 1.41.5 h5eee18b_0", "libwebp-base 1.3.2 h5eee18b_0", "lz4-c 1.9.4 h6a678d5_1", "ncurses 6.4 h6a678d5_0", "openssl 3.0.14 h5eee18b_0", "tbb 2021.8.0 hdb19cb5_0", "xz 5.4.6 h5eee18b_1", "yaml 0.2.5 h7b6447c_0", "zlib 1.2.13 h5eee18b_1", "intel-openmp 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py310h06a4308_0", "statsmodels 0.14.2 py310h5eee18b_0", "xarray 2023.6.0 py310h06a4308_0", "datashader 0.16.2 py310h06a4308_0", "panel 1.4.4 py310h06a4308_0", "holoviews 1.19.0 py310h06a4308_0", "hvplot 0.10.0 py310h06a4308_0" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "b29d58b780e5671072ff1bc8929d2dc9", "name": "_anaconda_core", "sha256": "07aee043b09c06382b7cef57124930a8477cbd48b38f6067a65761697c8ebb6e", "size": 104278, "subdir": "linux-64", "timestamp": 1719010816848, "version": "2024.06" } |
2024-07-02 15:02:30 |
1,_anaconda_core-2024.06-py310_mkl_2.tar.bz2 | 1 1 | _anaconda_core-2024.06-py310_mkl_2.tar.bz2 | { "build": "py310_mkl_2", "build_number": 2, "depends": [ "_libgcc_mutex 0.1 main", "blas 1.0 mkl", "ca-certificates 2024.3.11 h06a4308_0", "ld_impl_linux-64 2.38 h1181459_1", "libgfortran5 11.2.0 h1234567_1", "libstdcxx-ng 11.2.0 h1234567_1", "pybind11-abi 4 hd3eb1b0_1", "tzdata 2024a h04d1e81_0", "libgfortran-ng 11.2.0 h00389a5_1", "libgomp 11.2.0 h1234567_1", "_openmp_mutex 5.1 1_gnu", "libgcc-ng 11.2.0 h1234567_1", "bzip2 1.0.8 h5eee18b_6", "gmp 6.2.1 h295c915_3", "jpeg 9e h5eee18b_1", "lerc 3.0 h295c915_0", "libbrotlicommon 1.0.9 h5eee18b_8", "libdeflate 1.17 h5eee18b_1", "libffi 3.4.4 h6a678d5_1", "libsodium 1.0.18 h7b6447c_0", "libuuid 1.41.5 h5eee18b_0", "libwebp-base 1.3.2 h5eee18b_0", "lz4-c 1.9.4 h6a678d5_1", "ncurses 6.4 h6a678d5_0", "openssl 3.0.14 h5eee18b_0", "tbb 2021.8.0 hdb19cb5_0", "xz 5.4.6 h5eee18b_1", "yaml 0.2.5 h7b6447c_0", "zlib 1.2.13 h5eee18b_1", "intel-openmp 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py310h06a4308_0", "statsmodels 0.14.2 py310h5eee18b_0", "xarray 2023.6.0 py310h06a4308_0", "datashader 0.16.2 py310h06a4308_0", "panel 1.4.4 py310h06a4308_0", "holoviews 1.19.0 py310h06a4308_0", "hvplot 0.10.0 py310h06a4308_0" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "c890606d554a50e2e2bc97087268fc14", "name": "_anaconda_core", "sha256": "8f8edb9cf9c33277b09945c4b5adab17077e2c519515709c943094550064bb67", "size": 77511, "subdir": "linux-64", "timestamp": 1719010816848, "version": "2024.06" } |
2024-07-02 15:02:30 |
1,_anaconda_core-2024.06-py310_openblas_0.conda | 1 1 | _anaconda_core-2024.06-py310_openblas_0.conda | { "build": "py310_openblas_0", "build_number": 0, "depends": [ "_libgcc_mutex 0.1 main", "blas 1.0 openblas", "ca-certificates 2024.3.11 h06a4308_0", "ld_impl_linux-64 2.38 h1181459_1", "libgfortran5 11.2.0 h1234567_1", "libstdcxx-ng 11.2.0 h1234567_1", "pybind11-abi 4 hd3eb1b0_1", "tzdata 2024a h04d1e81_0", "libgfortran-ng 11.2.0 h00389a5_1", "libgomp 11.2.0 h1234567_1", "_openmp_mutex 5.1 1_gnu", "libgcc-ng 11.2.0 h1234567_1", "bzip2 1.0.8 h5eee18b_6", "gmp 6.2.1 h295c915_3", "jpeg 9e h5eee18b_1", "lerc 3.0 h295c915_0", "libbrotlicommon 1.0.9 h5eee18b_8", "libdeflate 1.17 h5eee18b_1", "libffi 3.4.4 h6a678d5_1", "libopenblas 0.3.21 h043d6bf_0", "libsodium 1.0.18 h7b6447c_0", "libuuid 1.41.5 h5eee18b_0", "libwebp-base 1.3.2 h5eee18b_0", "lz4-c 1.9.4 h6a678d5_1", "ncurses 6.4 h6a678d5_0", "openssl 3.0.14 h5eee18b_0", "tbb 2021.8.0 hdb19cb5_0", "xz 5.4.6 h5eee18b_1", "yaml 0.2.5 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2024-07-02 15:02:30 |
1,_anaconda_core-2024.06-py310_openblas_0.tar.bz2 | 1 1 | _anaconda_core-2024.06-py310_openblas_0.tar.bz2 | { "build": "py310_openblas_0", "build_number": 0, "depends": [ "_libgcc_mutex 0.1 main", "blas 1.0 openblas", "ca-certificates 2024.3.11 h06a4308_0", "ld_impl_linux-64 2.38 h1181459_1", "libgfortran5 11.2.0 h1234567_1", "libstdcxx-ng 11.2.0 h1234567_1", "pybind11-abi 4 hd3eb1b0_1", "tzdata 2024a h04d1e81_0", "libgfortran-ng 11.2.0 h00389a5_1", "libgomp 11.2.0 h1234567_1", "_openmp_mutex 5.1 1_gnu", "libgcc-ng 11.2.0 h1234567_1", "bzip2 1.0.8 h5eee18b_6", "gmp 6.2.1 h295c915_3", "jpeg 9e h5eee18b_1", "lerc 3.0 h295c915_0", "libbrotlicommon 1.0.9 h5eee18b_8", "libdeflate 1.17 h5eee18b_1", "libffi 3.4.4 h6a678d5_1", "libopenblas 0.3.21 h043d6bf_0", "libsodium 1.0.18 h7b6447c_0", "libuuid 1.41.5 h5eee18b_0", "libwebp-base 1.3.2 h5eee18b_0", "lz4-c 1.9.4 h6a678d5_1", "ncurses 6.4 h6a678d5_0", "openssl 3.0.14 h5eee18b_0", "tbb 2021.8.0 hdb19cb5_0", "xz 5.4.6 h5eee18b_1", "yaml 0.2.5 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2024-07-02 15:02:30 |
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2024-07-02 15:02:30 |
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2024-07-02 15:02:30 |
1,_anaconda_core-2024.06-py310_openblas_2.conda | 1 1 | _anaconda_core-2024.06-py310_openblas_2.conda | { "build": "py310_openblas_2", "build_number": 2, "depends": [ "_libgcc_mutex 0.1 main", "blas 1.0 openblas", "ca-certificates 2024.3.11 h06a4308_0", "ld_impl_linux-64 2.38 h1181459_1", "libgfortran5 11.2.0 h1234567_1", "libstdcxx-ng 11.2.0 h1234567_1", "pybind11-abi 4 hd3eb1b0_1", "tzdata 2024a h04d1e81_0", "libgfortran-ng 11.2.0 h00389a5_1", "libgomp 11.2.0 h1234567_1", "_openmp_mutex 5.1 1_gnu", "libgcc-ng 11.2.0 h1234567_1", "bzip2 1.0.8 h5eee18b_6", "gmp 6.2.1 h295c915_3", "jpeg 9e h5eee18b_1", "lerc 3.0 h295c915_0", "libbrotlicommon 1.0.9 h5eee18b_8", "libdeflate 1.17 h5eee18b_1", "libffi 3.4.4 h6a678d5_1", "libopenblas 0.3.21 h043d6bf_0", "libsodium 1.0.18 h7b6447c_0", "libuuid 1.41.5 h5eee18b_0", "libwebp-base 1.3.2 h5eee18b_0", "lz4-c 1.9.4 h6a678d5_1", "ncurses 6.4 h6a678d5_0", "openssl 3.0.14 h5eee18b_0", "tbb 2021.8.0 hdb19cb5_0", "xz 5.4.6 h5eee18b_1", "yaml 0.2.5 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2024-07-02 15:02:30 |
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2024-07-02 15:02:30 |
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2024-07-02 15:02:30 |
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py311h06a4308_0", "datashader 0.16.2 py311h06a4308_0", "panel 1.4.4 py311h06a4308_0", "holoviews 1.19.0 py311h06a4308_0", "hvplot 0.10.0 py311h06a4308_0" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "ce57278c7d8371583499a256fa37f648", "name": "_anaconda_core", "sha256": "0853f00a3d1f269bd22504c056a0040fd01baf0a133b463a4fcaf96883676271", "size": 77741, "subdir": "linux-64", "timestamp": 1718836205269, "version": "2024.06" } |
2024-07-02 15:02:30 |
1,_anaconda_core-2024.06-py311_mkl_1.conda | 1 1 | _anaconda_core-2024.06-py311_mkl_1.conda | { "build": "py311_mkl_1", "build_number": 1, "depends": [ "_libgcc_mutex 0.1 main", "blas 1.0 mkl", "ca-certificates 2024.3.11 h06a4308_0", "ld_impl_linux-64 2.38 h1181459_1", "libgfortran5 11.2.0 h1234567_1", "libstdcxx-ng 11.2.0 h1234567_1", "pybind11-abi 4 hd3eb1b0_1", "tzdata 2024a h04d1e81_0", "libgfortran-ng 11.2.0 h00389a5_1", "libgomp 11.2.0 h1234567_1", "_openmp_mutex 5.1 1_gnu", "libgcc-ng 11.2.0 h1234567_1", "bzip2 1.0.8 h5eee18b_6", "gmp 6.2.1 h295c915_3", "jpeg 9e h5eee18b_1", "lerc 3.0 h295c915_0", "libbrotlicommon 1.0.9 h5eee18b_8", "libdeflate 1.17 h5eee18b_1", "libffi 3.4.4 h6a678d5_1", "libsodium 1.0.18 h7b6447c_0", "libuuid 1.41.5 h5eee18b_0", "libwebp-base 1.3.2 h5eee18b_0", "lz4-c 1.9.4 h6a678d5_1", "ncurses 6.4 h6a678d5_0", "openssl 3.0.14 h5eee18b_0", "tbb 2021.8.0 hdb19cb5_0", "xz 5.4.6 h5eee18b_1", "yaml 0.2.5 h7b6447c_0", "zlib 1.2.13 h5eee18b_1", "intel-openmp 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2024-07-02 15:02:30 |
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2024-07-02 15:02:30 |
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2024-07-02 15:02:30 |
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2024-07-02 15:02:30 |
1,_anaconda_core-2024.06-py311_openblas_0.conda | 1 1 | _anaconda_core-2024.06-py311_openblas_0.conda | { "build": "py311_openblas_0", "build_number": 0, "depends": [ "_libgcc_mutex 0.1 main", "blas 1.0 openblas", "ca-certificates 2024.3.11 h06a4308_0", "ld_impl_linux-64 2.38 h1181459_1", "libgfortran5 11.2.0 h1234567_1", "libstdcxx-ng 11.2.0 h1234567_1", "pybind11-abi 4 hd3eb1b0_1", "tzdata 2024a h04d1e81_0", "libgfortran-ng 11.2.0 h00389a5_1", "libgomp 11.2.0 h1234567_1", "_openmp_mutex 5.1 1_gnu", "libgcc-ng 11.2.0 h1234567_1", "bzip2 1.0.8 h5eee18b_6", "gmp 6.2.1 h295c915_3", "jpeg 9e h5eee18b_1", "lerc 3.0 h295c915_0", "libbrotlicommon 1.0.9 h5eee18b_8", "libdeflate 1.17 h5eee18b_1", "libffi 3.4.4 h6a678d5_1", "libopenblas 0.3.21 h043d6bf_0", "libsodium 1.0.18 h7b6447c_0", "libuuid 1.41.5 h5eee18b_0", "libwebp-base 1.3.2 h5eee18b_0", "lz4-c 1.9.4 h6a678d5_1", "ncurses 6.4 h6a678d5_0", "openssl 3.0.14 h5eee18b_0", "tbb 2021.8.0 hdb19cb5_0", "xz 5.4.6 h5eee18b_1", "yaml 0.2.5 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0.2.5 pyhd3eb1b0_0", "webencodings 0.5.1 py311h06a4308_1", "websocket-client 1.8.0 py311h06a4308_0", "xyzservices 2022.9.0 py311h06a4308_1", "zipp 3.17.0 py311h06a4308_0", "anyio 4.2.0 py311h06a4308_0", "asttokens 2.0.5 pyhd3eb1b0_0", "babel 2.11.0 py311h06a4308_0", "beautifulsoup4 4.12.3 py311h06a4308_0", "bleach 4.1.0 pyhd3eb1b0_0", "cffi 1.16.0 py311h5eee18b_1", "comm 0.2.1 py311h06a4308_0", "fonttools 4.51.0 py311h5eee18b_0", "importlib-metadata 7.0.1 py311h06a4308_0", "jedi 0.18.1 py311h06a4308_1", "jinja2 3.1.4 py311h06a4308_0", "jupyter_core 5.7.2 py311h06a4308_0", "jupyterlab_pygments 0.1.2 py_0", "linkify-it-py 2.0.0 py311h06a4308_0", "markdown-it-py 2.2.0 py311h06a4308_1", "matplotlib-inline 0.1.6 py311h06a4308_0", "multipledispatch 0.6.0 py311h06a4308_0", "nltk 3.8.1 py311h06a4308_0", "numpy 1.26.4 py311h24aa872_0", "partd 1.4.1 py311h06a4308_0", "pexpect 4.8.0 pyhd3eb1b0_3", "plotly 5.22.0 py311h92b7b1e_0", "prompt-toolkit 3.0.43 py311h06a4308_0", "python-dateutil 2.9.0post0 py311h06a4308_2", "pyviz_comms 3.0.2 py311h06a4308_0", "referencing 0.30.2 py311h06a4308_0", "rfc3339-validator 0.1.4 py311h06a4308_0", "sympy 1.12 py311h06a4308_0", "terminado 0.17.1 py311h06a4308_0", "tinycss2 1.2.1 py311h06a4308_0", "typing-extensions 4.11.0 py311h06a4308_0", "urllib3 2.2.1 py311h06a4308_0", "argon2-cffi-bindings 21.2.0 py311h5eee18b_0", "bottleneck 1.3.7 py311hf4808d0_0", "contourpy 1.2.0 py311hdb19cb5_0", "dask-core 2024.5.0 py311h06a4308_0", "jsonschema-specifications 2023.7.1 py311h06a4308_0", "jupyter_client 8.6.0 py311h06a4308_0", "jupyter_server_terminals 0.4.4 py311h06a4308_1", "mdit-py-plugins 0.3.0 py311h06a4308_0", "numba 0.59.1 py311ha02d727_0", "numexpr 2.8.7 py311h812550d_0", "patsy 0.5.6 py311h06a4308_0", "prompt_toolkit 3.0.43 hd3eb1b0_0", "pyerfa 2.0.1.4 py311hf4808d0_0", "pywavelets 1.5.0 py311hf4808d0_0", "requests 2.32.2 py311h06a4308_0", "scipy 1.13.1 py311h24aa872_0", "stack_data 0.2.0 pyhd3eb1b0_0", "argon2-cffi 21.3.0 pyhd3eb1b0_0", "astropy 6.1.0 py311hf4808d0_0", "gensim 4.3.2 py311ha02d727_0", "ipython 8.25.0 py311h06a4308_0", "jsonschema 4.19.2 py311h06a4308_0", "matplotlib-base 3.8.4 py311ha02d727_0", "pandas 2.2.2 py311ha02d727_0", "pyct 0.5.0 py311h06a4308_0", "scikit-learn 1.4.2 py311ha02d727_1", "bokeh 3.4.1 py311h92b7b1e_0", "imbalanced-learn 0.12.3 py311h06a4308_1", "ipykernel 6.28.0 py311h06a4308_0", "jupyter_events 0.10.0 py311h06a4308_0", "nbformat 5.9.2 py311h06a4308_0", "seaborn 0.13.2 py311h06a4308_0", "statsmodels 0.14.2 py311hf4808d0_0", "xarray 2023.6.0 py311h06a4308_0", "datashader 0.16.2 py311h06a4308_0", "nbclient 0.8.0 py311h06a4308_0", "panel 1.4.4 py311h06a4308_0", "holoviews 1.19.0 py311h06a4308_0", "nbconvert 7.10.0 py311h06a4308_0", "hvplot 0.10.0 py311h06a4308_0", "jupyter_server 2.14.1 py311h06a4308_0", "jupyter-lsp 2.2.0 py311h06a4308_0", "jupyterlab_server 2.25.1 py311h06a4308_0", "notebook-shim 0.2.3 py311h06a4308_0", "jupyterlab 4.0.11 py311h06a4308_0", "notebook 7.0.8 py311h06a4308_0" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "f8b5d858f7a4ceda3cc15798a376773c", "name": "_anaconda_core", "sha256": "ca770e10ed16fbf5d78256e9bef7daa9847bf6f647c640be9848279ae79c7a76", "size": 104380, "subdir": "linux-64", "timestamp": 1718836234735, "version": "2024.06" } |
2024-07-02 15:02:30 |
1,_anaconda_core-2024.06-py311_openblas_0.tar.bz2 | 1 1 | _anaconda_core-2024.06-py311_openblas_0.tar.bz2 | { "build": "py311_openblas_0", "build_number": 0, "depends": [ "_libgcc_mutex 0.1 main", "blas 1.0 openblas", "ca-certificates 2024.3.11 h06a4308_0", "ld_impl_linux-64 2.38 h1181459_1", "libgfortran5 11.2.0 h1234567_1", "libstdcxx-ng 11.2.0 h1234567_1", "pybind11-abi 4 hd3eb1b0_1", "tzdata 2024a h04d1e81_0", "libgfortran-ng 11.2.0 h00389a5_1", "libgomp 11.2.0 h1234567_1", "_openmp_mutex 5.1 1_gnu", "libgcc-ng 11.2.0 h1234567_1", "bzip2 1.0.8 h5eee18b_6", "gmp 6.2.1 h295c915_3", "jpeg 9e h5eee18b_1", "lerc 3.0 h295c915_0", "libbrotlicommon 1.0.9 h5eee18b_8", "libdeflate 1.17 h5eee18b_1", "libffi 3.4.4 h6a678d5_1", "libopenblas 0.3.21 h043d6bf_0", "libsodium 1.0.18 h7b6447c_0", "libuuid 1.41.5 h5eee18b_0", "libwebp-base 1.3.2 h5eee18b_0", "lz4-c 1.9.4 h6a678d5_1", "ncurses 6.4 h6a678d5_0", "openssl 3.0.14 h5eee18b_0", "tbb 2021.8.0 hdb19cb5_0", "xz 5.4.6 h5eee18b_1", "yaml 0.2.5 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2.9.0post0 py311h06a4308_2", "pyviz_comms 3.0.2 py311h06a4308_0", "referencing 0.30.2 py311h06a4308_0", "rfc3339-validator 0.1.4 py311h06a4308_0", "sympy 1.12 py311h06a4308_0", "terminado 0.17.1 py311h06a4308_0", "tinycss2 1.2.1 py311h06a4308_0", "typing-extensions 4.11.0 py311h06a4308_0", "urllib3 2.2.1 py311h06a4308_0", "argon2-cffi-bindings 21.2.0 py311h5eee18b_0", "bottleneck 1.3.7 py311hf4808d0_0", "contourpy 1.2.0 py311hdb19cb5_0", "dask-core 2024.5.0 py311h06a4308_0", "jsonschema-specifications 2023.7.1 py311h06a4308_0", "jupyter_client 8.6.0 py311h06a4308_0", "jupyter_server_terminals 0.4.4 py311h06a4308_1", "mdit-py-plugins 0.3.0 py311h06a4308_0", "numba 0.59.1 py311ha02d727_0", "numexpr 2.8.7 py311h812550d_0", "patsy 0.5.6 py311h06a4308_0", "prompt_toolkit 3.0.43 hd3eb1b0_0", "pyerfa 2.0.1.4 py311hf4808d0_0", "pywavelets 1.5.0 py311hf4808d0_0", "requests 2.32.2 py311h06a4308_0", "scipy 1.13.1 py311h24aa872_0", "stack_data 0.2.0 pyhd3eb1b0_0", "argon2-cffi 21.3.0 pyhd3eb1b0_0", "astropy 6.1.0 py311hf4808d0_0", "gensim 4.3.2 py311ha02d727_0", "ipython 8.25.0 py311h06a4308_0", "jsonschema 4.19.2 py311h06a4308_0", "matplotlib-base 3.8.4 py311ha02d727_0", "pandas 2.2.2 py311ha02d727_0", "pyct 0.5.0 py311h06a4308_0", "scikit-learn 1.4.2 py311ha02d727_1", "bokeh 3.4.1 py311h92b7b1e_0", "imbalanced-learn 0.12.3 py311h06a4308_1", "ipykernel 6.28.0 py311h06a4308_0", "jupyter_events 0.10.0 py311h06a4308_0", "nbformat 5.9.2 py311h06a4308_0", "seaborn 0.13.2 py311h06a4308_0", "statsmodels 0.14.2 py311hf4808d0_0", "xarray 2023.6.0 py311h06a4308_0", "datashader 0.16.2 py311h06a4308_0", "nbclient 0.8.0 py311h06a4308_0", "panel 1.4.4 py311h06a4308_0", "holoviews 1.19.0 py311h06a4308_0", "nbconvert 7.10.0 py311h06a4308_0", "hvplot 0.10.0 py311h06a4308_0", "jupyter_server 2.14.1 py311h06a4308_0", "jupyter-lsp 2.2.0 py311h06a4308_0", "jupyterlab_server 2.25.1 py311h06a4308_0", "notebook-shim 0.2.3 py311h06a4308_0", "jupyterlab 4.0.11 py311h06a4308_0", "notebook 7.0.8 py311h06a4308_0" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "8041a12718de65fe286ae026fd6c00e4", "name": "_anaconda_core", "sha256": "7035dbef381576f0eaf7244f1b71c2a0a0043c6e82f43812e1979a993f210727", "size": 77604, "subdir": "linux-64", "timestamp": 1718836234735, "version": "2024.06" } |
2024-07-02 15:02:30 |
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CREATE TABLE repodata_packages (repodata_id INTEGER NOT NULL, package TEXT NOT NULL, index_json TEXT NOT NULL, timestamp TEXT NOT NULL DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (repodata_id, package), FOREIGN KEY (repodata_id) REFERENCES repodata(id));