repodata_packages
40,465 rows where repodata_id = 4
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Link | repodata_id | package | index_json | timestamp |
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4,__anaconda_core_depends-2024.06-py310_openblas_0.conda | 4 4 | __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": "280d2f8e43d6b523ea419f4feec8efbd", "name": "__anaconda_core_depends", "sha256": "619df6727c0302f72436542451c809bdc105df26dba208642ef46ba37078f231", "size": 101683, "subdir": "osx-arm64", "timestamp": 1718836060200, "version": "2024.06" } |
2024-07-02 15:02:33 |
4,__anaconda_core_depends-2024.06-py310_openblas_0.tar.bz2 | 4 4 | __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": "277c44a9ac1b0b6baf1bad6fca05cbf1", "name": "__anaconda_core_depends", "sha256": "1bdd1cf7b6ead25b368d27c1f051019eeb4e5fec2db848360edf451632aeaa97", "size": 74549, "subdir": "osx-arm64", "timestamp": 1718836060200, "version": "2024.06" } |
2024-07-02 15:02:33 |
4,__anaconda_core_depends-2024.06-py310_openblas_1.conda | 4 4 | __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": "28b51a83457cbb4be55d5235cfe26d20", "name": "__anaconda_core_depends", "sha256": "7f2f882eb44c53c1ff063480c9ac4d2062909b87efeddddb629bf9ef67a32234", "size": 101478, "subdir": "osx-arm64", "timestamp": 1718986533674, "version": "2024.06" } |
2024-07-02 15:02:33 |
4,__anaconda_core_depends-2024.06-py310_openblas_1.tar.bz2 | 4 4 | __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": "3cc0fb36c11c06db84b8ff07ee8eac00", "name": "__anaconda_core_depends", "sha256": "d110be01121db830b9702be71d8cbd728e6b21294bc420839b25d4ab0b37da39", "size": 74333, "subdir": "osx-arm64", "timestamp": 1718986533674, "version": "2024.06" } |
2024-07-02 15:02:33 |
4,__anaconda_core_depends-2024.06-py310_openblas_2.conda | 4 4 | __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": "414257f0196c951d2d81e627570d82be", "name": "__anaconda_core_depends", "sha256": "e1a45697cf5b3b0f47f3c494c58d8ec0d1f623a050d2bcc4dac41a55b943dd75", "size": 101472, "subdir": "osx-arm64", "timestamp": 1719001731510, "version": "2024.06" } |
2024-07-02 15:02:33 |
4,__anaconda_core_depends-2024.06-py310_openblas_2.tar.bz2 | 4 4 | __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": "1cce91a8120eb711314fea03e04556bd", "name": "__anaconda_core_depends", "sha256": "367e21115955671452a1151a01828dee34412b3e60e1b3a0757c21207c0cae65", "size": 74335, "subdir": "osx-arm64", "timestamp": 1719001731510, "version": "2024.06" } |
2024-07-02 15:02:33 |
4,__anaconda_core_depends-2024.06-py311_openblas_0.conda | 4 4 | __anaconda_core_depends-2024.06-py311_openblas_0.conda | { "build": "py311_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 >=3.11,<3.12.0a0", "pywavelets", "scikit-learn", "scipy", "seaborn", "snowballstemmer", "statsmodels", "sympy", "tabulate", "urllib3" ], "license": "LicenseRef-Anaconda-End-User-License-Agreement", "license_family": "Other", "md5": "db33e24cc47bb7da9787d3fd20453eb6", "name": "__anaconda_core_depends", "sha256": "d45eca1cd5950819658af179a635a37051a185760130d482aa87df5d21f7b7b6", "size": 101687, "subdir": "osx-arm64", "timestamp": 1718836073092, "version": "2024.06" } |
2024-07-02 15:02:33 |
4,__anaconda_core_depends-2024.06-py311_openblas_0.tar.bz2 | 4 4 | __anaconda_core_depends-2024.06-py311_openblas_0.tar.bz2 | { "build": "py311_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 >=3.11,<3.12.0a0", "pywavelets", "scikit-learn", "scipy", "seaborn", "snowballstemmer", "statsmodels", "sympy", "tabulate", "urllib3" ], "license": "LicenseRef-Anaconda-End-User-License-Agreement", "license_family": "Other", "md5": "69fd265988c35892c9fb833d4dd76d1e", "name": "__anaconda_core_depends", "sha256": "c9e73d2ec4db9c4927404dd63c00ecdf09748e1a1f043427a835c76833bdd314", "size": 74545, "subdir": "osx-arm64", "timestamp": 1718836073092, "version": "2024.06" } |
2024-07-02 15:02:33 |
4,__anaconda_core_depends-2024.06-py311_openblas_1.conda | 4 4 | __anaconda_core_depends-2024.06-py311_openblas_1.conda | { "build": "py311_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 >=3.11,<3.12.0a0", "pywavelets", "scikit-learn", "scipy", "seaborn", "snowballstemmer", "statsmodels", "sympy", "tabulate", "urllib3" ], "license": "LicenseRef-Anaconda-End-User-License-Agreement", "license_family": "Other", "md5": "0be8ecf2e7ed0b1da4f3c3e332259a76", "name": "__anaconda_core_depends", "sha256": "d103d10368ea6a42de3e05264995efb8d5aad75838d25dada00ed175d6ae3371", "size": 101465, "subdir": "osx-arm64", "timestamp": 1718986554786, "version": "2024.06" } |
2024-07-02 15:02:33 |
4,__anaconda_core_depends-2024.06-py311_openblas_1.tar.bz2 | 4 4 | __anaconda_core_depends-2024.06-py311_openblas_1.tar.bz2 | { "build": "py311_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 >=3.11,<3.12.0a0", "pywavelets", "scikit-learn", "scipy", "seaborn", "snowballstemmer", "statsmodels", "sympy", "tabulate", "urllib3" ], "license": "LicenseRef-Anaconda-End-User-License-Agreement", "license_family": "Other", "md5": "cf722305ec56612da0559b7ad163bbd2", "name": "__anaconda_core_depends", "sha256": "9d564012b1c4fbc172983e9f33bee65cc8a5bb6cf936dc35f8ff845db30594ca", "size": 74334, "subdir": "osx-arm64", "timestamp": 1718986554786, "version": "2024.06" } |
2024-07-02 15:02:33 |
4,__anaconda_core_depends-2024.06-py311_openblas_2.conda | 4 4 | __anaconda_core_depends-2024.06-py311_openblas_2.conda | { "build": "py311_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 >=3.11,<3.12.0a0", "pywavelets", "scikit-learn", "scipy", "seaborn", "snowballstemmer", "statsmodels", "sympy", "tabulate", "urllib3" ], "license": "LicenseRef-Anaconda-End-User-License-Agreement", "license_family": "Other", "md5": "caccb99ae5dc9fedc3f65b3011e015c3", "name": "__anaconda_core_depends", "sha256": "7ea07912c1287621dad80389ecb5185ef570550f72f8d571eac697439862d3e9", "size": 101465, "subdir": "osx-arm64", "timestamp": 1719001745308, "version": "2024.06" } |
2024-07-02 15:02:33 |
4,__anaconda_core_depends-2024.06-py311_openblas_2.tar.bz2 | 4 4 | __anaconda_core_depends-2024.06-py311_openblas_2.tar.bz2 | { "build": "py311_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 >=3.11,<3.12.0a0", "pywavelets", "scikit-learn", "scipy", "seaborn", "snowballstemmer", "statsmodels", "sympy", "tabulate", "urllib3" ], "license": "LicenseRef-Anaconda-End-User-License-Agreement", "license_family": "Other", "md5": "e0aeaa95d3eb68a8d201c6ea30927644", "name": "__anaconda_core_depends", "sha256": "2141c7c446b3b075532453d273293eb9c53ae0ff7094881fffa9c01027129194", "size": 74324, "subdir": "osx-arm64", "timestamp": 1719001745308, "version": "2024.06" } |
2024-07-02 15:02:33 |
4,__anaconda_core_depends-2024.06-py312_openblas_0.conda | 4 4 | __anaconda_core_depends-2024.06-py312_openblas_0.conda | { "build": "py312_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 >=3.12,<3.13.0a0", "pywavelets", "scikit-learn", "scipy", "seaborn", "snowballstemmer", "statsmodels", "sympy", "tabulate", "urllib3" ], "license": "LicenseRef-Anaconda-End-User-License-Agreement", "license_family": "Other", "md5": "369633333334624114e24284a69b6fe0", "name": "__anaconda_core_depends", "sha256": "87fee81888f1ccef15e1f0b5ebfde1124cab567c805e1b28c096dc52e2216f1c", "size": 101686, "subdir": "osx-arm64", "timestamp": 1718836067247, "version": "2024.06" } |
2024-07-02 15:02:33 |
4,__anaconda_core_depends-2024.06-py312_openblas_0.tar.bz2 | 4 4 | __anaconda_core_depends-2024.06-py312_openblas_0.tar.bz2 | { "build": "py312_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 >=3.12,<3.13.0a0", "pywavelets", "scikit-learn", "scipy", "seaborn", "snowballstemmer", "statsmodels", "sympy", "tabulate", "urllib3" ], "license": "LicenseRef-Anaconda-End-User-License-Agreement", "license_family": "Other", "md5": "fe70bd937fdb2d376f1d782e94890649", "name": "__anaconda_core_depends", "sha256": "5fbf3cd0c55c6b15265208de6db408f9029424f8ae381946fbfac3b1d89550ff", "size": 74580, "subdir": "osx-arm64", "timestamp": 1718836067247, "version": "2024.06" } |
2024-07-02 15:02:33 |
4,__anaconda_core_depends-2024.06-py312_openblas_1.conda | 4 4 | __anaconda_core_depends-2024.06-py312_openblas_1.conda | { "build": "py312_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 >=3.12,<3.13.0a0", "pywavelets", "scikit-learn", "scipy", "seaborn", "snowballstemmer", "statsmodels", "sympy", "tabulate", "urllib3" ], "license": "LicenseRef-Anaconda-End-User-License-Agreement", "license_family": "Other", "md5": "1979f6b56bf58505d11330d3b2eefa80", "name": "__anaconda_core_depends", "sha256": "cbb4222224e412e25d0b6d9eb8aae8f180c450483f7035ef2ad1dd695468f97d", "size": 101461, "subdir": "osx-arm64", "timestamp": 1718986540834, "version": "2024.06" } |
2024-07-02 15:02:33 |
4,__anaconda_core_depends-2024.06-py312_openblas_1.tar.bz2 | 4 4 | __anaconda_core_depends-2024.06-py312_openblas_1.tar.bz2 | { "build": "py312_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 >=3.12,<3.13.0a0", "pywavelets", "scikit-learn", "scipy", "seaborn", "snowballstemmer", "statsmodels", "sympy", "tabulate", "urllib3" ], "license": "LicenseRef-Anaconda-End-User-License-Agreement", "license_family": "Other", "md5": "05f3ca24a541d97e3d09cb95d858e31f", "name": "__anaconda_core_depends", "sha256": "656f8c81a71408d34a86c9ebe8257e721c91b9aae8dae03c6213deb74da417e7", "size": 74359, "subdir": "osx-arm64", "timestamp": 1718986540834, "version": "2024.06" } |
2024-07-02 15:02:33 |
4,__anaconda_core_depends-2024.06-py312_openblas_2.conda | 4 4 | __anaconda_core_depends-2024.06-py312_openblas_2.conda | { "build": "py312_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 >=3.12,<3.13.0a0", "pywavelets", "scikit-learn", "scipy", "seaborn", "snowballstemmer", "statsmodels", "sympy", "tabulate", "urllib3" ], "license": "LicenseRef-Anaconda-End-User-License-Agreement", "license_family": "Other", "md5": "05ff99ccb51edd5d40f5c4ae5a394756", "name": "__anaconda_core_depends", "sha256": "aff115c222fc4bf1d58ee1aaddde332dd44a776f35b698912370dcd714b5a51f", "size": 101466, "subdir": "osx-arm64", "timestamp": 1719001752377, "version": "2024.06" } |
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4,__anaconda_core_depends-2024.06-py312_openblas_2.tar.bz2 | 4 4 | __anaconda_core_depends-2024.06-py312_openblas_2.tar.bz2 | { "build": "py312_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 >=3.12,<3.13.0a0", "pywavelets", "scikit-learn", "scipy", "seaborn", "snowballstemmer", "statsmodels", "sympy", "tabulate", "urllib3" ], "license": "LicenseRef-Anaconda-End-User-License-Agreement", "license_family": "Other", "md5": "b66799a68f3b17ffc5d9b2809b82c00c", "name": "__anaconda_core_depends", "sha256": "2a0dfd15bab7325398166a6f9d6fed1b66d973f19e9b85785bbaeed5ab98a752", "size": 74371, "subdir": "osx-arm64", "timestamp": 1719001752377, "version": "2024.06" } |
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2024-07-02 15:02:33 |
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2024-07-02 15:02:33 |
4,_anaconda_core-2024.06-py310_openblas_1.conda | 4 4 | _anaconda_core-2024.06-py310_openblas_1.conda | { "build": "py310_openblas_1", "build_number": 1, "depends": [ "blas 1.0 openblas", "bzip2 1.0.8 h80987f9_6", "ca-certificates 2024.3.11 hca03da5_0", "jpeg 9e h80987f9_1", "libbrotlicommon 1.0.9 h80987f9_8", "libcxx 14.0.6 h848a8c0_0", "libdeflate 1.17 h80987f9_1", "libffi 3.4.4 hca03da5_1", "libsodium 1.0.18 h1a28f6b_0", "libwebp-base 1.3.2 h80987f9_0", "llvm-openmp 14.0.6 hc6e5704_0", "ncurses 6.4 h313beb8_0", "pybind11-abi 4 hd3eb1b0_1", "tzdata 2024a h04d1e81_0", "xz 5.4.6 h80987f9_1", "yaml 0.2.5 h1a28f6b_0", "zlib 1.2.13 h18a0788_1", "gmp 6.2.1 hc377ac9_3", "lerc 3.0 hc377ac9_0", "libbrotlidec 1.0.9 h80987f9_8", "libbrotlienc 1.0.9 h80987f9_8", "libgfortran5 11.3.0 h009349e_28", "libllvm14 14.0.6 h7ec7a93_3", "libpng 1.6.39 h80987f9_0", "lz4-c 1.9.4 h313beb8_1", "openssl 3.0.14 h80987f9_0", "readline 8.2 h1a28f6b_0", "tbb 2021.8.0 h48ca7d4_0", "tk 8.6.14 h6ba3021_0", "zeromq 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2024-07-02 15:02:33 |
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2024-07-02 15:02:33 |
4,_anaconda_core-2024.06-py310_openblas_2.conda | 4 4 | _anaconda_core-2024.06-py310_openblas_2.conda | { "build": "py310_openblas_2", "build_number": 2, "depends": [ "blas 1.0 openblas", "bzip2 1.0.8 h80987f9_6", "ca-certificates 2024.3.11 hca03da5_0", "jpeg 9e h80987f9_1", "libbrotlicommon 1.0.9 h80987f9_8", "libcxx 14.0.6 h848a8c0_0", "libdeflate 1.17 h80987f9_1", "libffi 3.4.4 hca03da5_1", "libsodium 1.0.18 h1a28f6b_0", "libwebp-base 1.3.2 h80987f9_0", "llvm-openmp 14.0.6 hc6e5704_0", "ncurses 6.4 h313beb8_0", "pybind11-abi 4 hd3eb1b0_1", "tzdata 2024a h04d1e81_0", "xz 5.4.6 h80987f9_1", "yaml 0.2.5 h1a28f6b_0", "zlib 1.2.13 h18a0788_1", "gmp 6.2.1 hc377ac9_3", "lerc 3.0 hc377ac9_0", "libbrotlidec 1.0.9 h80987f9_8", "libbrotlienc 1.0.9 h80987f9_8", "libgfortran5 11.3.0 h009349e_28", "libllvm14 14.0.6 h7ec7a93_3", "libpng 1.6.39 h80987f9_0", "lz4-c 1.9.4 h313beb8_1", "openssl 3.0.14 h80987f9_0", "readline 8.2 h1a28f6b_0", "tbb 2021.8.0 h48ca7d4_0", "tk 8.6.14 h6ba3021_0", "zeromq 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"license": "BSD-3-Clause", "license_family": "BSD", "md5": "c12a8270e47ce855899f0401936e86d4", "name": "_anaconda_core", "sha256": "83af94d6a859364e9bc4173de15067de5069c56754b8881a191d97edc3dd210b", "size": 105251, "subdir": "osx-arm64", "timestamp": 1719001766160, "version": "2024.06" } |
2024-07-02 15:02:33 |
4,_anaconda_core-2024.06-py310_openblas_2.tar.bz2 | 4 4 | _anaconda_core-2024.06-py310_openblas_2.tar.bz2 | { "build": "py310_openblas_2", "build_number": 2, "depends": [ "blas 1.0 openblas", "bzip2 1.0.8 h80987f9_6", "ca-certificates 2024.3.11 hca03da5_0", "jpeg 9e h80987f9_1", "libbrotlicommon 1.0.9 h80987f9_8", "libcxx 14.0.6 h848a8c0_0", "libdeflate 1.17 h80987f9_1", "libffi 3.4.4 hca03da5_1", "libsodium 1.0.18 h1a28f6b_0", "libwebp-base 1.3.2 h80987f9_0", "llvm-openmp 14.0.6 hc6e5704_0", "ncurses 6.4 h313beb8_0", "pybind11-abi 4 hd3eb1b0_1", "tzdata 2024a h04d1e81_0", "xz 5.4.6 h80987f9_1", "yaml 0.2.5 h1a28f6b_0", "zlib 1.2.13 h18a0788_1", "gmp 6.2.1 hc377ac9_3", "lerc 3.0 hc377ac9_0", "libbrotlidec 1.0.9 h80987f9_8", "libbrotlienc 1.0.9 h80987f9_8", "libgfortran5 11.3.0 h009349e_28", "libllvm14 14.0.6 h7ec7a93_3", "libpng 1.6.39 h80987f9_0", "lz4-c 1.9.4 h313beb8_1", "openssl 3.0.14 h80987f9_0", "readline 8.2 h1a28f6b_0", "tbb 2021.8.0 h48ca7d4_0", "tk 8.6.14 h6ba3021_0", 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2024-07-02 15:02:33 |
4,_anaconda_core-2024.06-py311_openblas_0.conda | 4 4 | _anaconda_core-2024.06-py311_openblas_0.conda | { "build": "py311_openblas_0", "build_number": 0, "depends": [ "blas 1.0 openblas", "bzip2 1.0.8 h80987f9_6", "ca-certificates 2024.3.11 hca03da5_0", "jpeg 9e h80987f9_1", "libbrotlicommon 1.0.9 h80987f9_8", "libcxx 14.0.6 h848a8c0_0", "libdeflate 1.17 h80987f9_1", "libffi 3.4.4 hca03da5_1", "libsodium 1.0.18 h1a28f6b_0", "libwebp-base 1.3.2 h80987f9_0", "llvm-openmp 14.0.6 hc6e5704_0", "ncurses 6.4 h313beb8_0", "pybind11-abi 4 hd3eb1b0_1", "tzdata 2024a h04d1e81_0", "xz 5.4.6 h80987f9_1", "yaml 0.2.5 h1a28f6b_0", "zlib 1.2.13 h18a0788_1", "gmp 6.2.1 hc377ac9_3", "lerc 3.0 hc377ac9_0", "libbrotlidec 1.0.9 h80987f9_8", "libbrotlienc 1.0.9 h80987f9_8", "libgfortran5 11.3.0 h009349e_28", "libllvm14 14.0.6 h7ec7a93_3", "libpng 1.6.39 h80987f9_0", "lz4-c 1.9.4 h313beb8_1", "openssl 3.0.14 h80987f9_0", "readline 8.2 h1a28f6b_0", "tbb 2021.8.0 h48ca7d4_0", "tk 8.6.14 h6ba3021_0", "zeromq 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2024-07-02 15:02:33 |
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2024-07-02 15:02:33 |
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2024-07-02 15:02:33 |
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2024-07-02 15:02:33 |
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2024-07-02 15:02:33 |
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2024-07-02 15:02:33 |
4,_anaconda_core-2024.06-py312_openblas_0.conda | 4 4 | _anaconda_core-2024.06-py312_openblas_0.conda | { "build": "py312_openblas_0", "build_number": 0, "depends": [ "blas 1.0 openblas", "bzip2 1.0.8 h80987f9_6", "ca-certificates 2024.3.11 hca03da5_0", "jpeg 9e h80987f9_1", "libbrotlicommon 1.0.9 h80987f9_8", "libcxx 14.0.6 h848a8c0_0", "libdeflate 1.17 h80987f9_1", "libffi 3.4.4 hca03da5_1", "libsodium 1.0.18 h1a28f6b_0", "libwebp-base 1.3.2 h80987f9_0", "llvm-openmp 14.0.6 hc6e5704_0", "ncurses 6.4 h313beb8_0", "pybind11-abi 5 hd3eb1b0_0", "tzdata 2024a h04d1e81_0", "xz 5.4.6 h80987f9_1", "yaml 0.2.5 h1a28f6b_0", "zlib 1.2.13 h18a0788_1", "expat 2.6.2 h313beb8_0", "lerc 3.0 hc377ac9_0", "libbrotlidec 1.0.9 h80987f9_8", "libbrotlienc 1.0.9 h80987f9_8", "libgfortran5 11.3.0 h009349e_28", "libllvm14 14.0.6 h7ec7a93_3", "libpng 1.6.39 h80987f9_0", "lz4-c 1.9.4 h313beb8_1", "openssl 3.0.14 h80987f9_0", "readline 8.2 h1a28f6b_0", "tbb 2021.8.0 h48ca7d4_0", "tk 8.6.14 h6ba3021_0", "zeromq 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"timestamp": 1718836096674, "version": "2024.06" } |
2024-07-02 15:02:33 |
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2024-07-02 15:02:33 |
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"timestamp": 1718986574990, "version": "2024.06" } |
2024-07-02 15:02:33 |
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2024-07-02 15:02:33 |
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"timestamp": 1719001786660, "version": "2024.06" } |
2024-07-02 15:02:33 |
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2024-07-02 15:02:33 |
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2024-07-02 15:02:33 |
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2024-07-02 15:02:33 |
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2024-07-02 15:02:33 |
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2024-07-02 15:02:33 |
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2024-07-02 15:02:33 |
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2024-07-02 15:02:33 |
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2024-07-02 15:02:33 |
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2024-07-02 15:02:33 |
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2024-07-02 15:02:33 |
4,_anaconda_core-2024.06-py39_openblas_1.tar.bz2 | 4 4 | _anaconda_core-2024.06-py39_openblas_1.tar.bz2 | { "build": "py39_openblas_1", "build_number": 1, "depends": [ "blas 1.0 openblas", "ca-certificates 2024.3.11 hca03da5_0", "jpeg 9e h80987f9_1", "libbrotlicommon 1.0.9 h80987f9_8", "libcxx 14.0.6 h848a8c0_0", "libdeflate 1.17 h80987f9_1", "libffi 3.4.4 hca03da5_1", "libsodium 1.0.18 h1a28f6b_0", "libwebp-base 1.3.2 h80987f9_0", "llvm-openmp 14.0.6 hc6e5704_0", "ncurses 6.4 h313beb8_0", "pybind11-abi 4 hd3eb1b0_1", "tzdata 2024a h04d1e81_0", "xz 5.4.6 h80987f9_1", "yaml 0.2.5 h1a28f6b_0", "zlib 1.2.13 h18a0788_1", "gmp 6.2.1 hc377ac9_3", "lerc 3.0 hc377ac9_0", "libbrotlidec 1.0.9 h80987f9_8", "libbrotlienc 1.0.9 h80987f9_8", "libgfortran5 11.3.0 h009349e_28", "libllvm14 14.0.6 h7ec7a93_3", "libpng 1.6.39 h80987f9_0", "lz4-c 1.9.4 h313beb8_1", "openssl 3.0.14 h80987f9_0", "readline 8.2 h1a28f6b_0", "tbb 2021.8.0 h48ca7d4_0", "tk 8.6.14 h6ba3021_0", "zeromq 4.3.5 h313beb8_0", 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2024-07-02 15:02:33 |
4,_anaconda_core-2024.06-py39_openblas_2.conda | 4 4 | _anaconda_core-2024.06-py39_openblas_2.conda | { "build": "py39_openblas_2", "build_number": 2, "depends": [ "blas 1.0 openblas", "ca-certificates 2024.3.11 hca03da5_0", "jpeg 9e h80987f9_1", "libbrotlicommon 1.0.9 h80987f9_8", "libcxx 14.0.6 h848a8c0_0", "libdeflate 1.17 h80987f9_1", "libffi 3.4.4 hca03da5_1", "libsodium 1.0.18 h1a28f6b_0", "libwebp-base 1.3.2 h80987f9_0", "llvm-openmp 14.0.6 hc6e5704_0", "ncurses 6.4 h313beb8_0", "pybind11-abi 4 hd3eb1b0_1", "tzdata 2024a h04d1e81_0", "xz 5.4.6 h80987f9_1", "yaml 0.2.5 h1a28f6b_0", "zlib 1.2.13 h18a0788_1", "gmp 6.2.1 hc377ac9_3", "lerc 3.0 hc377ac9_0", "libbrotlidec 1.0.9 h80987f9_8", "libbrotlienc 1.0.9 h80987f9_8", "libgfortran5 11.3.0 h009349e_28", "libllvm14 14.0.6 h7ec7a93_3", "libpng 1.6.39 h80987f9_0", "lz4-c 1.9.4 h313beb8_1", "openssl 3.0.14 h80987f9_0", "readline 8.2 h1a28f6b_0", "tbb 2021.8.0 h48ca7d4_0", "tk 8.6.14 h6ba3021_0", "zeromq 4.3.5 h313beb8_0", "brotli-bin 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2024-07-02 15:02:33 |
4,_anaconda_core-2024.06-py39_openblas_2.tar.bz2 | 4 4 | _anaconda_core-2024.06-py39_openblas_2.tar.bz2 | { "build": "py39_openblas_2", "build_number": 2, "depends": [ "blas 1.0 openblas", "ca-certificates 2024.3.11 hca03da5_0", "jpeg 9e h80987f9_1", "libbrotlicommon 1.0.9 h80987f9_8", "libcxx 14.0.6 h848a8c0_0", "libdeflate 1.17 h80987f9_1", "libffi 3.4.4 hca03da5_1", "libsodium 1.0.18 h1a28f6b_0", "libwebp-base 1.3.2 h80987f9_0", "llvm-openmp 14.0.6 hc6e5704_0", "ncurses 6.4 h313beb8_0", "pybind11-abi 4 hd3eb1b0_1", "tzdata 2024a h04d1e81_0", "xz 5.4.6 h80987f9_1", "yaml 0.2.5 h1a28f6b_0", "zlib 1.2.13 h18a0788_1", "gmp 6.2.1 hc377ac9_3", "lerc 3.0 hc377ac9_0", "libbrotlidec 1.0.9 h80987f9_8", "libbrotlienc 1.0.9 h80987f9_8", "libgfortran5 11.3.0 h009349e_28", "libllvm14 14.0.6 h7ec7a93_3", "libpng 1.6.39 h80987f9_0", "lz4-c 1.9.4 h313beb8_1", "openssl 3.0.14 h80987f9_0", "readline 8.2 h1a28f6b_0", "tbb 2021.8.0 h48ca7d4_0", "tk 8.6.14 h6ba3021_0", "zeromq 4.3.5 h313beb8_0", 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2024-07-02 15:02:33 |
4,_anaconda_core-2024.10-py310_openblas_0.conda | 4 4 | _anaconda_core-2024.10-py310_openblas_0.conda | { "build": "py310_openblas_0", "build_number": 0, "depends": [ "blas 1.0 openblas", "bzip2 1.0.8 h80987f9_6", "ca-certificates 2024.9.24 hca03da5_0", "jpeg 9e h80987f9_3", "libbrotlicommon 1.0.9 h80987f9_8", "libcxx 14.0.6 h848a8c0_0", "libdeflate 1.17 h80987f9_1", "libffi 3.4.4 hca03da5_1", "libsodium 1.0.18 h1a28f6b_0", "libwebp-base 1.3.2 h80987f9_0", "llvm-openmp 14.0.6 hc6e5704_0", "ncurses 6.4 h313beb8_0", "pybind11-abi 4 hd3eb1b0_1", "tzdata 2024b h04d1e81_0", "xz 5.4.6 h80987f9_1", "yaml 0.2.5 h1a28f6b_0", "zlib 1.2.13 h18a0788_1", "gmp 6.2.1 hc377ac9_3", "lerc 3.0 hc377ac9_0", "libbrotlidec 1.0.9 h80987f9_8", "libbrotlienc 1.0.9 h80987f9_8", "libgfortran5 11.3.0 h009349e_28", "libllvm14 14.0.6 h19fdd8a_4", "libpng 1.6.39 h80987f9_0", "lz4-c 1.9.4 h313beb8_1", "openssl 3.0.15 h80987f9_0", "readline 8.2 h1a28f6b_0", "tbb 2021.8.0 h48ca7d4_0", "tk 8.6.14 h6ba3021_0", "zeromq 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2024-10-10 15:32:04 |
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2024-10-10 15:32:04 |
4,_anaconda_core-2024.10-py311_openblas_0.conda | 4 4 | _anaconda_core-2024.10-py311_openblas_0.conda | { "build": "py311_openblas_0", "build_number": 0, "depends": [ "blas 1.0 openblas", "bzip2 1.0.8 h80987f9_6", "ca-certificates 2024.9.24 hca03da5_0", "jpeg 9e h80987f9_3", "libbrotlicommon 1.0.9 h80987f9_8", "libcxx 14.0.6 h848a8c0_0", "libdeflate 1.17 h80987f9_1", "libffi 3.4.4 hca03da5_1", "libsodium 1.0.18 h1a28f6b_0", "libwebp-base 1.3.2 h80987f9_0", "llvm-openmp 14.0.6 hc6e5704_0", "ncurses 6.4 h313beb8_0", "pybind11-abi 4 hd3eb1b0_1", "tzdata 2024b h04d1e81_0", "xz 5.4.6 h80987f9_1", "yaml 0.2.5 h1a28f6b_0", "zlib 1.2.13 h18a0788_1", "gmp 6.2.1 hc377ac9_3", "lerc 3.0 hc377ac9_0", "libbrotlidec 1.0.9 h80987f9_8", "libbrotlienc 1.0.9 h80987f9_8", "libgfortran5 11.3.0 h009349e_28", "libllvm14 14.0.6 h19fdd8a_4", "libpng 1.6.39 h80987f9_0", "lz4-c 1.9.4 h313beb8_1", "openssl 3.0.15 h80987f9_0", "readline 8.2 h1a28f6b_0", "tbb 2021.8.0 h48ca7d4_0", "tk 8.6.14 h6ba3021_0", "zeromq 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2024-10-10 15:32:04 |
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2024-10-10 15:32:04 |
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2024-10-10 15:32:04 |
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2024-10-10 15:32:04 |
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2024-10-10 15:32:04 |
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2024-10-10 15:32:04 |
4,_anaconda_core-2024.10-py39_openblas_0.conda | 4 4 | _anaconda_core-2024.10-py39_openblas_0.conda | { "build": "py39_openblas_0", "build_number": 0, "depends": [ "blas 1.0 openblas", "ca-certificates 2024.9.24 hca03da5_0", "jpeg 9e h80987f9_3", "libbrotlicommon 1.0.9 h80987f9_8", "libcxx 14.0.6 h848a8c0_0", "libdeflate 1.17 h80987f9_1", "libffi 3.4.4 hca03da5_1", "libsodium 1.0.18 h1a28f6b_0", "libwebp-base 1.3.2 h80987f9_0", "llvm-openmp 14.0.6 hc6e5704_0", "ncurses 6.4 h313beb8_0", "pybind11-abi 4 hd3eb1b0_1", "tzdata 2024b h04d1e81_0", "xz 5.4.6 h80987f9_1", "yaml 0.2.5 h1a28f6b_0", "zlib 1.2.13 h18a0788_1", "gmp 6.2.1 hc377ac9_3", "lerc 3.0 hc377ac9_0", "libbrotlidec 1.0.9 h80987f9_8", "libbrotlienc 1.0.9 h80987f9_8", "libgfortran5 11.3.0 h009349e_28", "libllvm14 14.0.6 h19fdd8a_4", "libpng 1.6.39 h80987f9_0", "lz4-c 1.9.4 h313beb8_1", "openssl 3.0.15 h80987f9_0", "readline 8.2 h1a28f6b_0", "tbb 2021.8.0 h48ca7d4_0", "tk 8.6.14 h6ba3021_0", "zeromq 4.3.5 h313beb8_0", "brotli-bin 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2024-10-10 15:32:04 |
4,_anaconda_core-2024.10-py39_openblas_0.tar.bz2 | 4 4 | _anaconda_core-2024.10-py39_openblas_0.tar.bz2 | { "build": "py39_openblas_0", "build_number": 0, "depends": [ "blas 1.0 openblas", "ca-certificates 2024.9.24 hca03da5_0", "jpeg 9e h80987f9_3", "libbrotlicommon 1.0.9 h80987f9_8", "libcxx 14.0.6 h848a8c0_0", "libdeflate 1.17 h80987f9_1", "libffi 3.4.4 hca03da5_1", "libsodium 1.0.18 h1a28f6b_0", "libwebp-base 1.3.2 h80987f9_0", "llvm-openmp 14.0.6 hc6e5704_0", "ncurses 6.4 h313beb8_0", "pybind11-abi 4 hd3eb1b0_1", "tzdata 2024b h04d1e81_0", "xz 5.4.6 h80987f9_1", "yaml 0.2.5 h1a28f6b_0", "zlib 1.2.13 h18a0788_1", "gmp 6.2.1 hc377ac9_3", "lerc 3.0 hc377ac9_0", "libbrotlidec 1.0.9 h80987f9_8", "libbrotlienc 1.0.9 h80987f9_8", "libgfortran5 11.3.0 h009349e_28", "libllvm14 14.0.6 h19fdd8a_4", "libpng 1.6.39 h80987f9_0", "lz4-c 1.9.4 h313beb8_1", "openssl 3.0.15 h80987f9_0", "readline 8.2 h1a28f6b_0", "tbb 2021.8.0 h48ca7d4_0", "tk 8.6.14 h6ba3021_0", "zeromq 4.3.5 h313beb8_0", 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2024-10-10 15:32:04 |
4,_anaconda_depends-2022.05-py38_0.conda | 4 4 | _anaconda_depends-2022.05-py38_0.conda | { "build": "py38_0", "build_number": 0, "depends": [ "adwaita-icon-theme", "aiohttp", "aiosignal", "alabaster", "anaconda-client", "anaconda-project", "anyio", "appdirs", "applaunchservices", "appnope", "appscript", "argon2-cffi", "argon2-cffi-bindings", "arrow", "astroid", "astropy", "asttokens", "async-timeout", "atk-1.0", "atomicwrites", "attrs", "automat", "autopep8", "babel", "backcall", "backports", "backports.functools_lru_cache", "backports.tempfile", "backports.weakref", "bcrypt", "beautifulsoup4", "binaryornot", "bitarray", "bkcharts", "black", "blas", "bleach", "blosc", "bokeh", "boto3", "botocore", "bottleneck", "brotli", "brotlipy", "brunsli", "bzip2", "c-ares", "ca-certificates", "cachetools", "cairo", "certifi", "cffi", "cfitsio", "chardet", "charls", "charset-normalizer", "click", "cloudpickle", "clyent", "colorama", "colorcet", "conda-content-trust", "conda-token", "constantly", 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2022-05-24 19:40:32 |
4,_anaconda_depends-2022.05-py38_0.tar.bz2 | 4 4 | _anaconda_depends-2022.05-py38_0.tar.bz2 | { "build": "py38_0", "build_number": 0, "depends": [ "adwaita-icon-theme", "aiohttp", "aiosignal", "alabaster", "anaconda-client", "anaconda-project", "anyio", "appdirs", "applaunchservices", "appnope", "appscript", "argon2-cffi", "argon2-cffi-bindings", "arrow", "astroid", "astropy", "asttokens", "async-timeout", "atk-1.0", "atomicwrites", "attrs", "automat", "autopep8", "babel", "backcall", "backports", "backports.functools_lru_cache", "backports.tempfile", "backports.weakref", "bcrypt", "beautifulsoup4", "binaryornot", "bitarray", "bkcharts", "black", "blas", "bleach", "blosc", "bokeh", "boto3", "botocore", "bottleneck", "brotli", "brotlipy", "brunsli", "bzip2", "c-ares", "ca-certificates", "cachetools", "cairo", "certifi", "cffi", "cfitsio", "chardet", "charls", "charset-normalizer", "click", "cloudpickle", "clyent", "colorama", "colorcet", "conda-content-trust", "conda-token", 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2022-05-24 19:40:32 |
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2022-05-24 19:40:32 |
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2022-05-24 19:40:32 |
4,_anaconda_depends-2022.10-py310_2.conda | 4 4 | _anaconda_depends-2022.10-py310_2.conda | { "build": "py310_2", "build_number": 2, "depends": [ "alabaster", "appnope", "appscript", "astroid", "astropy", "babel", "backports", "beautifulsoup4", "bitarray", "bkcharts", "bleach", "bokeh", "boto3", "bottleneck", "cffi", "chardet", "click", "cloudpickle", "clyent", "colorama", "cryptography", "curl", "cycler", "cython", "cytoolz", "dask", "datashader", "decorator", "distributed", "docutils", "entrypoints", "et_xmlfile", "flask", "freetype", "gensim", "h5py", "hdf5", "heapdict", "holoviews", "hvplot", "icu", "idna", "imagesize", "intake", "ipykernel", "ipython", "ipython_genutils", "ipywidgets", "isort", "jdcal", "jedi", "jinja2", "jpeg", "jq", "jsonschema", "jupyter_client", "jupyter_console", "jupyter_core", "jupyterlab", "lazy-object-proxy", "libiconv", "libpng", "libssh2", "libtiff", "libxml2", "libxslt", "llvmlite", "locket", "lxml", "markupsafe", "matplotlib", "mistune", "mpmath", "msgpack-python", "nbconvert", "nbformat", "networkx", "nltk", "nose", "notebook", "numba", "numexpr", "numpy", "numpydoc", "olefile", "openblas", "openpyxl", "openssl", "packaging", "pandas", "pandocfilters", "panel", "partd", "patsy", "pep8", "pexpect", "pickleshare", "pillow", "pip", "plotly", "prompt_toolkit", "psutil", "ptyprocess", "py", "pycodestyle", "pycosat", "pycparser", "pycurl", "pyflakes", "pygments", "pylint", "pyodbc", "pyopenssl", "pyparsing", "pytables", "pytest", "python >=3.10,<3.11.0a0", "python-dateutil", "python.app", "pytz", "pywavelets", "pyyaml", "pyzmq", "readline", "requests", "rope", "ruamel_yaml", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "sip", "six", "snowballstemmer", "sortedcollections", "sortedcontainers", "sphinx", "sqlalchemy", "sqlite", "statsmodels", "sympy", "tabulate", "tbb4py", "tblib", "terminado", "testpath", "tk", "toolz", "tornado", "traitlets", "unixodbc", "wcwidth", "wget", "wheel", "widgetsnbextension", "wrapt", "xlrd", "xlsxwriter", "xlwings", "xz", "yaml", "zict", "zlib" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "399a18999aa58b2081af900d0466b288", "name": "_anaconda_depends", "sha256": "3e724ccc02fc3668ceda123616c11a9f32a0f215bab497e2d224b377bebf7066", "size": 70431, "subdir": "osx-arm64", "timestamp": 1674079785886, "version": "2022.10" } |
2023-01-27 13:58:45 |
4,_anaconda_depends-2022.10-py310_2.tar.bz2 | 4 4 | _anaconda_depends-2022.10-py310_2.tar.bz2 | { "build": "py310_2", "build_number": 2, "depends": [ "alabaster", "appnope", "appscript", "astroid", "astropy", "babel", "backports", "beautifulsoup4", "bitarray", "bkcharts", "bleach", "bokeh", "boto3", "bottleneck", "cffi", "chardet", "click", "cloudpickle", "clyent", "colorama", "cryptography", "curl", "cycler", "cython", "cytoolz", "dask", "datashader", "decorator", "distributed", "docutils", "entrypoints", "et_xmlfile", "flask", "freetype", "gensim", "h5py", "hdf5", "heapdict", "holoviews", "hvplot", "icu", "idna", "imagesize", "intake", "ipykernel", "ipython", "ipython_genutils", "ipywidgets", "isort", "jdcal", "jedi", "jinja2", "jpeg", "jq", "jsonschema", "jupyter_client", "jupyter_console", "jupyter_core", "jupyterlab", "lazy-object-proxy", "libiconv", "libpng", "libssh2", "libtiff", "libxml2", "libxslt", "llvmlite", "locket", "lxml", "markupsafe", "matplotlib", "mistune", "mpmath", "msgpack-python", "nbconvert", "nbformat", "networkx", "nltk", "nose", "notebook", "numba", "numexpr", "numpy", "numpydoc", "olefile", "openblas", "openpyxl", "openssl", "packaging", "pandas", "pandocfilters", "panel", "partd", "patsy", "pep8", "pexpect", "pickleshare", "pillow", "pip", "plotly", "prompt_toolkit", "psutil", "ptyprocess", "py", "pycodestyle", "pycosat", "pycparser", "pycurl", "pyflakes", "pygments", "pylint", "pyodbc", "pyopenssl", "pyparsing", "pytables", "pytest", "python >=3.10,<3.11.0a0", "python-dateutil", "python.app", "pytz", "pywavelets", "pyyaml", "pyzmq", "readline", "requests", "rope", "ruamel_yaml", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "sip", "six", "snowballstemmer", "sortedcollections", "sortedcontainers", "sphinx", "sqlalchemy", "sqlite", "statsmodels", "sympy", "tabulate", "tbb4py", "tblib", "terminado", "testpath", "tk", "toolz", "tornado", "traitlets", "unixodbc", "wcwidth", "wget", "wheel", "widgetsnbextension", "wrapt", "xlrd", "xlsxwriter", "xlwings", "xz", "yaml", "zict", "zlib" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "3e0b9319580dee018489361974592956", "name": "_anaconda_depends", "sha256": "6258ee91867111d5886c4d64dd8bb42c1729bb680bb2ebb96a363c527467f667", "size": 56313, "subdir": "osx-arm64", "timestamp": 1674079785886, "version": "2022.10" } |
2023-01-27 13:58:45 |
4,_anaconda_depends-2022.10-py310hca03da5_1.conda | 4 4 | _anaconda_depends-2022.10-py310hca03da5_1.conda | { "build": "py310hca03da5_1", "build_number": 1, "depends": [ "alabaster", "appnope", "appscript", "astroid", "astropy", "babel", "backports", "beautifulsoup4", "bitarray", "bkcharts", "bleach", "bokeh", "boto3", "bottleneck", "cffi", "chardet", "click", "cloudpickle", "clyent", "colorama", "cryptography", "curl", "cycler", "cython", "cytoolz", "dask", "datashader", "decorator", "distributed", "docutils", "entrypoints", "et_xmlfile", "flask", "freetype", "gensim", "h5py", "hdf5", "heapdict", "holoviews", "hvplot", "icu", "idna", "imagesize", "intake", "ipykernel", "ipython", "ipython_genutils", "ipywidgets", "isort", "jdcal", "jedi", "jinja2", "jpeg", "jq", "jsonschema", "jupyter_client", "jupyter_console", "jupyter_core", "jupyterlab", "lazy-object-proxy", "libiconv", "libpng", "libssh2", "libtiff", "libxml2", "libxslt", "llvmlite", "locket", "lxml", "markupsafe", "matplotlib", "mistune", "mpmath", "msgpack-python", "nbconvert", "nbformat", "networkx", "nltk", "nose", "notebook", "numba", "numexpr", "numpy", "numpydoc", "olefile", "openblas", "openpyxl", "openssl", "packaging", "pandas", "pandocfilters", "panel", "partd", "patsy", "pep8", "pexpect", "pickleshare", "pillow", "pip", "plotly", "prompt_toolkit", "psutil", "ptyprocess", "py", "pycodestyle", "pycosat", "pycparser", "pycurl", "pyflakes", "pygments", "pylint", "pyodbc", "pyopenssl", "pyparsing", "pytables", "pytest", "python >=3.10,<3.11.0a0", "python-dateutil", "python.app", "pytz", "pywavelets", "pyyaml", "pyzmq", "readline", "requests", "rope", "ruamel_yaml", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "sip", "six", "snowballstemmer", "sortedcollections", "sortedcontainers", "sphinx", "sqlalchemy", "sqlite", "statsmodels", "sympy", "tabulate", "tbb4py", "tblib", "terminado", "testpath", "tk", "toolz", "tornado", "traitlets", "unixodbc", "wcwidth", "wget", "wheel", "widgetsnbextension", "wrapt", "xlrd", "xlsxwriter", "xlwings", "xz", "yaml", "zict", "zlib" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "86ea7a0b3b1374890018164e7a93f223", "name": "_anaconda_depends", "sha256": "9f5aef6c98babc1285cf2caac5d70a4b9c7bb9674f634d4b765e3b84c50d7ea5", "size": 70403, "subdir": "osx-arm64", "timestamp": 1674059612841, "version": "2022.10" } |
2023-01-27 13:58:45 |
4,_anaconda_depends-2022.10-py310hca03da5_1.tar.bz2 | 4 4 | _anaconda_depends-2022.10-py310hca03da5_1.tar.bz2 | { "build": "py310hca03da5_1", "build_number": 1, "depends": [ "alabaster", "appnope", "appscript", "astroid", "astropy", "babel", "backports", "beautifulsoup4", "bitarray", "bkcharts", "bleach", "bokeh", "boto3", "bottleneck", "cffi", "chardet", "click", "cloudpickle", "clyent", "colorama", "cryptography", "curl", "cycler", "cython", "cytoolz", "dask", "datashader", "decorator", "distributed", "docutils", "entrypoints", "et_xmlfile", "flask", "freetype", "gensim", "h5py", "hdf5", "heapdict", "holoviews", "hvplot", "icu", "idna", "imagesize", "intake", "ipykernel", "ipython", "ipython_genutils", "ipywidgets", "isort", "jdcal", "jedi", "jinja2", "jpeg", "jq", "jsonschema", "jupyter_client", "jupyter_console", "jupyter_core", "jupyterlab", "lazy-object-proxy", "libiconv", "libpng", "libssh2", "libtiff", "libxml2", "libxslt", "llvmlite", "locket", "lxml", "markupsafe", "matplotlib", "mistune", "mpmath", "msgpack-python", "nbconvert", "nbformat", "networkx", "nltk", "nose", "notebook", "numba", "numexpr", "numpy", "numpydoc", "olefile", "openblas", "openpyxl", "openssl", "packaging", "pandas", "pandocfilters", "panel", "partd", "patsy", "pep8", "pexpect", "pickleshare", "pillow", "pip", "plotly", "prompt_toolkit", "psutil", "ptyprocess", "py", "pycodestyle", "pycosat", "pycparser", "pycurl", "pyflakes", "pygments", "pylint", "pyodbc", "pyopenssl", "pyparsing", "pytables", "pytest", "python >=3.10,<3.11.0a0", "python-dateutil", "python.app", "pytz", "pywavelets", "pyyaml", "pyzmq", "readline", "requests", "rope", "ruamel_yaml", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "sip", "six", "snowballstemmer", "sortedcollections", "sortedcontainers", "sphinx", "sqlalchemy", "sqlite", "statsmodels", "sympy", "tabulate", "tbb4py", "tblib", "terminado", "testpath", "tk", "toolz", "tornado", "traitlets", "unixodbc", "wcwidth", "wget", "wheel", "widgetsnbextension", "wrapt", "xlrd", "xlsxwriter", "xlwings", "xz", "yaml", "zict", "zlib" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "217211700fdebf53857a19504d367bf2", "name": "_anaconda_depends", "sha256": "e6b268de1ea0bca63a441bb6bec5e052caf31bbbd8890cf4d6c96e21194ffccd", "size": 56252, "subdir": "osx-arm64", "timestamp": 1674059612841, "version": "2022.10" } |
2023-01-27 13:58:45 |
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2023-01-27 13:58:45 |
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2023-01-27 13:58:45 |
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2023-01-27 13:58:45 |
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2023-01-27 13:58:45 |
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2023-03-08 22:07:07 |
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2023-03-08 22:07:07 |
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2023-03-08 22:07:07 |
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2023-03-08 22:07:07 |
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2023-03-08 22:07:07 |
4,_anaconda_depends-2023.03-py39_0.tar.bz2 | 4 4 | _anaconda_depends-2023.03-py39_0.tar.bz2 | { "build": "py39_0", "build_number": 0, "depends": [ "appscript", "astropy", "beautifulsoup4", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "jq", "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", "python.app", "pywavelets", "requests", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel", "xlwings" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "9aeea3fad2dc2e4d75a524a1bd83c3c0", "name": "_anaconda_depends", "sha256": "2916dd398b1e98dc8a166a041490a5ecf186b93e0b1145dd6c4b62f00230b6c3", "size": 54645, "subdir": "osx-arm64", "timestamp": 1678132189036, "version": "2023.03" } |
2023-03-08 22:07:07 |
4,_anaconda_depends-2023.06-py310_0.conda | 4 4 | _anaconda_depends-2023.06-py310_0.conda | { "build": "py310_0", "build_number": 0, "depends": [ "appscript", "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", "python.app", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel", "xlwings" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "4fcf60aa40be07a04f79a8be48b879a7", "name": "_anaconda_depends", "sha256": "70c95f1f6e2ad141944960791e8e815d319835deeaa4fbc03c2974b0cff2ff8f", "size": 68789, "subdir": "osx-arm64", "timestamp": 1686098442578, "version": "2023.06" } |
2023-06-08 15:27:50 |
4,_anaconda_depends-2023.06-py310_0.tar.bz2 | 4 4 | _anaconda_depends-2023.06-py310_0.tar.bz2 | { "build": "py310_0", "build_number": 0, "depends": [ "appscript", "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", "python.app", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel", "xlwings" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "e082a6aa51fc1602d886fab843fb9087", "name": "_anaconda_depends", "sha256": "601e94771eebbe409b49ed9a473f73eedc22b6827421f51fb847fc25195ac48f", "size": 54752, "subdir": "osx-arm64", "timestamp": 1686098442578, "version": "2023.06" } |
2023-06-08 15:27:50 |
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