repodata_packages
567 rows where repodata_id = 11 and "timestamp" is on date 2023-06-08
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Link | repodata_id | package | index_json | timestamp |
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11,_anaconda_depends-2023.06-py310_0.conda | 11 11 | _anaconda_depends-2023.06-py310_0.conda | { "build": "py310_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.10,<3.11.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "20a675319677eb1ad344fd7181f9180b", "name": "_anaconda_depends", "sha256": "ef6ce74a256092e26f566386bda596c4a31235cbded7e186d07992c70ce807dd", "size": 67576, "subdir": "linux-aarch64", "timestamp": 1686098490775, "version": "2023.06" } |
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11,_anaconda_depends-2023.06-py310_0.tar.bz2 | 11 11 | _anaconda_depends-2023.06-py310_0.tar.bz2 | { "build": "py310_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.10,<3.11.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "35bb12ae8b20f15ffbc52f5420e81d34", "name": "_anaconda_depends", "sha256": "ed3b1b07cf56942188baecea1a4befa46c5636894607eae37e405d94954c44a9", "size": 53773, "subdir": "linux-aarch64", "timestamp": 1686098490775, "version": "2023.06" } |
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11,_anaconda_depends-2023.06-py311_0.conda | 11 11 | _anaconda_depends-2023.06-py311_0.conda | { "build": "py311_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.11,<3.12.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "00ec3d8efb744597529915d0baeaa065", "name": "_anaconda_depends", "sha256": "f31f61df0e39a3ce20fe33fc83ab58f037ee36a9c200658d781869e4fc3330ed", "size": 67564, "subdir": "linux-aarch64", "timestamp": 1686098480570, "version": "2023.06" } |
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11,_anaconda_depends-2023.06-py311_0.tar.bz2 | 11 11 | _anaconda_depends-2023.06-py311_0.tar.bz2 | { "build": "py311_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.11,<3.12.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "dee11e7120eb204811c287a9132c14db", "name": "_anaconda_depends", "sha256": "29e4712c52e9b267b00f3e3897f42646c61777adcd858e4df41b3c30c753bdcf", "size": 53750, "subdir": "linux-aarch64", "timestamp": 1686098480570, "version": "2023.06" } |
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11,_anaconda_depends-2023.06-py38_0.conda | 11 11 | _anaconda_depends-2023.06-py38_0.conda | { "build": "py38_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.8,<3.9.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "54a37e156f844f8a64fb4c233de6acb8", "name": "_anaconda_depends", "sha256": "4d8e875960a13db87fdb679f92db5f2d74436b4e43d800b85e1b59a6cbcc1220", "size": 67527, "subdir": "linux-aarch64", "timestamp": 1686098495502, "version": "2023.06" } |
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11,_anaconda_depends-2023.06-py38_0.tar.bz2 | 11 11 | _anaconda_depends-2023.06-py38_0.tar.bz2 | { "build": "py38_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.8,<3.9.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "65e95ffa9a1fcd7dc02fe5fc592efc23", "name": "_anaconda_depends", "sha256": "70972761c8e715e15fded76848ed8bdd9d4a3252bf7d70983274a61ded6bc620", "size": 53713, "subdir": "linux-aarch64", "timestamp": 1686098495502, "version": "2023.06" } |
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11,_anaconda_depends-2023.06-py39_0.conda | 11 11 | _anaconda_depends-2023.06-py39_0.conda | { "build": "py39_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.9,<3.10.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "faa68fc719ad8e23d2534b5bbb793dbd", "name": "_anaconda_depends", "sha256": "cbc818b6ce0fb986280628e6060aea4c5af1c9686dcc0aecd4cf3d6ccd6fcc97", "size": 67528, "subdir": "linux-aarch64", "timestamp": 1686098485714, "version": "2023.06" } |
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11,_anaconda_depends-2023.06-py39_0.tar.bz2 | 11 11 | _anaconda_depends-2023.06-py39_0.tar.bz2 | { "build": "py39_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.9,<3.10.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "7e44118fc797e1c3de2b2e3ba5358ab8", "name": "_anaconda_depends", "sha256": "333f44d4e450480487580bffcc8fadc8776749e0ff2f7223393301f06d235f0e", "size": 53758, "subdir": "linux-aarch64", "timestamp": 1686098485714, "version": "2023.06" } |
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11,anaconda-2023.06-py310_0.conda | 11 11 | anaconda-2023.06-py310_0.conda | { "build": "py310_0", "build_number": 0, "depends": [ "_libgcc_mutex 0.1 main", "blas 1.0 openblas", "ca-certificates 2023.01.10 hd43f75c_0", "ld_impl_linux-aarch64 2.38 h8131f2d_1", "libgfortran5 11.2.0 h1234567_1", "libstdcxx-ng 11.2.0 h1234567_1", "tzdata 2023c h04d1e81_0", "libgfortran-ng 11.2.0 h6e398d7_1", "libgomp 11.2.0 h1234567_1", "_openmp_mutex 5.1 51_gnu", "libgcc-ng 11.2.0 h1234567_1", "bzip2 1.0.8 hfd63f10_2", "c-ares 1.19.0 h998d150_0", "charls 2.2.0 h7c1a80f_0", "expat 2.4.9 h419075a_0", "giflib 5.2.1 h998d150_3", "gmp 6.2.1 h22f4aa5_3", "icu 68.1 h22f4aa5_0", "jpeg 9e h998d150_1", "jxrlib 1.1 hfd63f10_2", "lerc 3.0 h22f4aa5_0", "libaec 1.0.4 h7c1a80f_1", "libbrotlicommon 1.0.9 h998d150_7", "libdeflate 1.17 h998d150_0", "libev 4.33 hfd63f10_1", "libffi 3.4.4 h419075a_0", "libopenblas 0.3.21 hc2e42e2_0", "libsodium 1.0.18 hfd63f10_0", "libspatialindex 1.9.3 h7c1a80f_0", "libuuid 1.41.5 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2023-06-08 15:27:45 |
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2023-06-08 15:27:45 |
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2023-06-08 15:27:45 |
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2023-06-08 15:27:45 |
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2023-06-08 15:27:45 |
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2023-06-08 15:27:45 |
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2023-06-08 15:27:45 |
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2023-06-08 15:27:45 |
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2023-06-08 15:27:45 |
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2023-06-08 15:27:45 |
11,conda-libmamba-solver-23.5.0-py311hd43f75c_0.tar.bz2 | 11 11 | conda-libmamba-solver-23.5.0-py311hd43f75c_0.tar.bz2 | { "build": "py311hd43f75c_0", "build_number": 0, "depends": [ "boltons >=23.0.0", "conda >=23.5.0", "libmambapy >=1.4.1", "python >=3.11,<3.12.0a0" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "031c4c16e626515e506b7163894d9eea", "name": "conda-libmamba-solver", "sha256": "e47f08685fb36191abf9eb5d071ace94e2d0c567e090893a93a6dbf307a02d5a", "size": 80453, "subdir": "linux-aarch64", "timestamp": 1685032452270, "version": "23.5.0" } |
2023-06-08 15:27:45 |
11,conda-libmamba-solver-23.5.0-py38hd43f75c_0.conda | 11 11 | conda-libmamba-solver-23.5.0-py38hd43f75c_0.conda | { "build": "py38hd43f75c_0", "build_number": 0, "depends": [ "boltons >=23.0.0", "conda >=23.5.0", "libmambapy >=1.4.1", "python >=3.8,<3.9.0a0" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "6c86f528cb5a2f80601f5e42533cf6b7", "name": "conda-libmamba-solver", "sha256": "a73ede9e67361d635e67259609c653a297d748a4b559ef1ee1351d3aec74e1e9", "size": 67589, "subdir": "linux-aarch64", "timestamp": 1685032379081, "version": "23.5.0" } |
2023-06-08 15:27:45 |
11,conda-libmamba-solver-23.5.0-py38hd43f75c_0.tar.bz2 | 11 11 | conda-libmamba-solver-23.5.0-py38hd43f75c_0.tar.bz2 | { "build": "py38hd43f75c_0", "build_number": 0, "depends": [ "boltons >=23.0.0", "conda >=23.5.0", "libmambapy >=1.4.1", "python >=3.8,<3.9.0a0" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "6b80cbbebe54a19655b393b72a530119", "name": "conda-libmamba-solver", "sha256": "790d0bf6d538165825e8584d3d1b0fe0ec85e353abd2ce06b8a7ed0af7626d93", "size": 62417, "subdir": "linux-aarch64", "timestamp": 1685032379081, "version": "23.5.0" } |
2023-06-08 15:27:45 |
11,conda-libmamba-solver-23.5.0-py39hd43f75c_0.conda | 11 11 | conda-libmamba-solver-23.5.0-py39hd43f75c_0.conda | { "build": "py39hd43f75c_0", "build_number": 0, "depends": [ "boltons >=23.0.0", "conda >=23.5.0", "libmambapy >=1.4.1", "python >=3.9,<3.10.0a0" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "a59773b5745bedd20eac0b433362e65f", "name": "conda-libmamba-solver", "sha256": "384035fa70a28996f198e4700d687e85dcbf35f6d9564d163db15e43fa0dac87", "size": 67668, "subdir": "linux-aarch64", "timestamp": 1685032345181, "version": "23.5.0" } |
2023-06-08 15:27:45 |
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2023-06-08 15:27:45 |
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2023-06-08 15:27:45 |
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2023-06-08 15:27:45 |
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2023-06-08 15:27:45 |
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11,conda-package-handling-2.1.0-py39hd43f75c_0.tar.bz2 | 11 11 | conda-package-handling-2.1.0-py39hd43f75c_0.tar.bz2 | { "build": "py39hd43f75c_0", "build_number": 0, "depends": [ "conda-package-streaming >=0.7.0", "python >=3.9,<3.10.0a0" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "1bdcbc3b415a21151f9bc36176f1339c", "name": "conda-package-handling", "sha256": "70ae7720abe509dd843e513130b95c4d1841c79950391b927bc1cf0eb6d715b0", "size": 275872, "subdir": "linux-aarch64", "timestamp": 1685024906180, "version": "2.1.0" } |
2023-06-08 15:27:45 |
11,conda-package-streaming-0.8.0-py310hd43f75c_0.conda | 11 11 | conda-package-streaming-0.8.0-py310hd43f75c_0.conda | { "build": "py310hd43f75c_0", "build_number": 0, "depends": [ "python >=3.10,<3.11.0a0", "zstandard >=0.15" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "9bb99ae4b9482e23c2ccd6a5a12bab03", "name": "conda-package-streaming", "sha256": "8c60673a6c16ef1d38e34ae7f653cae4727d301cfcc485a4729ff41b0940210a", "size": 28305, "subdir": "linux-aarch64", "timestamp": 1685019735959, "version": "0.8.0" } |
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11,conda-package-streaming-0.8.0-py310hd43f75c_0.tar.bz2 | 11 11 | conda-package-streaming-0.8.0-py310hd43f75c_0.tar.bz2 | { "build": "py310hd43f75c_0", "build_number": 0, "depends": [ "python >=3.10,<3.11.0a0", "zstandard >=0.15" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "d98125c28e635f3ee98041c375921ab6", "name": "conda-package-streaming", "sha256": "5e88c489cc13898364c864210bc48aeea39198241ba14ae02b831ee22ddc5878", "size": 26700, "subdir": "linux-aarch64", "timestamp": 1685019735959, "version": "0.8.0" } |
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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));