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      "software_packageUrl": "pkg:rpm/python3-kafka-python@3.0.0-1.oe2609?arch=noarch&epoch=0&upstream=python-kafka-python-3.0.0-1.oe2609.src.rpm",
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      "software_downloadLocation": "NOASSERTION",
      "summary": "Python3 package of gala-anteater",
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      "software_homePage": "https://gitee.com/openeuler/gala-anteater",
      "description": "Python3 package of gala-anteater",
      "name": "python3-gala-anteater",
      "software_sourceInfo": "acquired package info from repodata DB: repodata/19d54a93ffbada0d8891adcbefe41a882ee7f08ec9d32c6bee1353a910c81e32-primary.sqlite.bz2",
      "software_packageUrl": "pkg:rpm/python3-gala-anteater@1.2.2-4.oe2609?arch=x86_64&epoch=0&upstream=gala-anteater-1.2.2-4.oe2609.src.rpm",
      "creationInfo": "_:creationInfo_0"
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      "spdxId": "https://anchore.com/syft/dir/repo/openeuler/openEuler-26.09/everything/x86_64-d20ca2c2-3788-4a6e-b0ed-9fccfc716ab9-specv3/SPDXRef-gnrtd16083",
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      "software_copyrightText": "",
      "suppliedBy": "https://anchore.com/syft/dir/repo/openeuler/openEuler-26.09/everything/x86_64-d20ca2c2-3788-4a6e-b0ed-9fccfc716ab9-specv3/SPDXRef-gnrtd16088",
      "software_downloadLocation": "NOASSERTION",
      "summary": "YAML parser and emitter for Python",
      "software_packageVersion": "0:6.0.3-1.oe2609",
      "software_homePage": "https://github.com/yaml/pyyaml",
      "description": "YAML is a data serialization format designed for human readability and\ninteraction with scripting languages. PyYAML is a YAML parser and emitter for\nPython.\n\nPyYAML features a complete YAML 1.1 parser, Unicode support, pickle support,\ncapable extension API, and sensible error messages. PyYAML supports standard\nYAML tags and provides Python-specific tags that allow to represent an\narbitrary Python object.\n\nPyYAML is applicable for a broad range of tasks from complex configuration\nfiles to object serialization and persistence.",
      "name": "python3-pyyaml",
      "software_sourceInfo": "acquired package info from repodata DB: repodata/19d54a93ffbada0d8891adcbefe41a882ee7f08ec9d32c6bee1353a910c81e32-primary.sqlite.bz2",
      "software_packageUrl": "pkg:rpm/python3-pyyaml@6.0.3-1.oe2609?arch=x86_64&epoch=0&upstream=pyyaml-6.0.3-1.oe2609.src.rpm",
      "creationInfo": "_:creationInfo_0"
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    {
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      "type": "software_Package",
      "software_copyrightText": "",
      "suppliedBy": "https://anchore.com/syft/dir/repo/openeuler/openEuler-26.09/everything/x86_64-d20ca2c2-3788-4a6e-b0ed-9fccfc716ab9-specv3/SPDXRef-gnrtd36735",
      "software_downloadLocation": "NOASSERTION",
      "summary": "In-process task scheduler with Cron-like capabilities",
      "software_packageVersion": "0:3.11.3-1.oe2609",
      "software_homePage": "https://github.com/agronholm/apscheduler",
      "description": "Documentation can be found `here <http://readthedocs.org/docs/apscheduler/en/latest/>`_.",
      "name": "python3-APScheduler",
      "software_sourceInfo": "acquired package info from repodata DB: repodata/19d54a93ffbada0d8891adcbefe41a882ee7f08ec9d32c6bee1353a910c81e32-primary.sqlite.bz2",
      "software_packageUrl": "pkg:rpm/python3-APScheduler@3.11.3-1.oe2609?arch=noarch&epoch=0&upstream=python-APScheduler-3.11.3-1.oe2609.src.rpm",
      "creationInfo": "_:creationInfo_0"
    },
    {
      "spdxId": "https://anchore.com/syft/dir/repo/openeuler/openEuler-26.09/everything/x86_64-d20ca2c2-3788-4a6e-b0ed-9fccfc716ab9-specv3/SPDXRef-gnrtd36777",
      "type": "software_Package",
      "software_copyrightText": "",
      "suppliedBy": "https://anchore.com/syft/dir/repo/openeuler/openEuler-26.09/everything/x86_64-d20ca2c2-3788-4a6e-b0ed-9fccfc716ab9-specv3/SPDXRef-gnrtd36814",
      "software_downloadLocation": "NOASSERTION",
      "summary": "Tensors and Dynamic neural networks in Python with strong GPU acceleration",
      "software_packageVersion": "0:2.1.2-7.oe2609",
      "software_homePage": "https://pytorch.org/",
      "description": "PyTorch is a Python package that provides two high-level features:\n- Tensor computation (like NumPy) with strong GPU acceleration\n- Deep neural networks built on a tape-based autograd system\nYou can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed.",
      "name": "python3-pytorch",
      "software_sourceInfo": "acquired package info from repodata DB: repodata/19d54a93ffbada0d8891adcbefe41a882ee7f08ec9d32c6bee1353a910c81e32-primary.sqlite.bz2",
      "software_packageUrl": "pkg:rpm/python3-pytorch@2.1.2-7.oe2609?arch=x86_64&epoch=0&upstream=pytorch-2.1.2-7.oe2609.src.rpm",
      "creationInfo": "_:creationInfo_0"
    },
    {
      "spdxId": "https://anchore.com/syft/dir/repo/openeuler/openEuler-26.09/everything/x86_64-d20ca2c2-3788-4a6e-b0ed-9fccfc716ab9-specv3/SPDXRef-gnrtd36768",
      "type": "software_Package",
      "software_copyrightText": "",
      "suppliedBy": "https://anchore.com/syft/dir/repo/openeuler/openEuler-26.09/everything/x86_64-d20ca2c2-3788-4a6e-b0ed-9fccfc716ab9-specv3/SPDXRef-gnrtd36771",
      "software_downloadLocation": "NOASSERTION",
      "summary": "Python package for creating and manipulating graphs and networks",
      "software_packageVersion": "0:3.2.1-1.oe2609",
      "software_homePage": "http://networkx.github.io/",
      "description": "NetworkX is a Python package for the creation, manipulation,\nand study of the structure, dynamics, and functions\nof complex networks.",
      "name": "python3-networkx",
      "software_sourceInfo": "acquired package info from repodata DB: repodata/19d54a93ffbada0d8891adcbefe41a882ee7f08ec9d32c6bee1353a910c81e32-primary.sqlite.bz2",
      "software_packageUrl": "pkg:rpm/python3-networkx@3.2.1-1.oe2609?arch=noarch&epoch=0&upstream=python-networkx-3.2.1-1.oe2609.src.rpm",
      "creationInfo": "_:creationInfo_0"
    },
    {
      "spdxId": "https://anchore.com/syft/dir/repo/openeuler/openEuler-26.09/everything/x86_64-d20ca2c2-3788-4a6e-b0ed-9fccfc716ab9-specv3/SPDXRef-gnrtd36738",
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      "software_copyrightText": "",
      "suppliedBy": "https://anchore.com/syft/dir/repo/openeuler/openEuler-26.09/everything/x86_64-d20ca2c2-3788-4a6e-b0ed-9fccfc716ab9-specv3/SPDXRef-gnrtd36750",
      "software_downloadLocation": "NOASSERTION",
      "summary": "Statistical computations and models for Python",
      "software_packageVersion": "0:0.14.6-1.oe2609",
      "software_homePage": "https://github.com/statsmodels/statsmodels",
      "description": "Statsmodels for python3.",
      "name": "python3-statsmodels",
      "software_sourceInfo": "acquired package info from repodata DB: repodata/19d54a93ffbada0d8891adcbefe41a882ee7f08ec9d32c6bee1353a910c81e32-primary.sqlite.bz2",
      "software_packageUrl": "pkg:rpm/python3-statsmodels@0.14.6-1.oe2609?arch=x86_64&epoch=0&upstream=python-statsmodels-0.14.6-1.oe2609.src.rpm",
      "creationInfo": "_:creationInfo_0"
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      "software_copyrightText": "",
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      "software_downloadLocation": "NOASSERTION",
      "summary": "Data structures and data analysis tools for Python",
      "software_packageVersion": "0:3.0.2-1.oe2609",
      "software_homePage": "https://pandas.pydata.org/",
      "description": "pandas is an open source, BSD-licensed library\nproviding high-performance, easy-to-use data structures\nand data analysis tools for the Python programming language.",
      "name": "python3-pandas",
      "software_sourceInfo": "acquired package info from repodata DB: repodata/19d54a93ffbada0d8891adcbefe41a882ee7f08ec9d32c6bee1353a910c81e32-primary.sqlite.bz2",
      "software_packageUrl": "pkg:rpm/python3-pandas@3.0.2-1.oe2609?arch=x86_64&epoch=0&upstream=python-pandas-3.0.2-1.oe2609.src.rpm",
      "creationInfo": "_:creationInfo_0"
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      "type": "software_Package",
      "software_copyrightText": "",
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      "software_downloadLocation": "NOASSERTION",
      "summary": "A fast multidimensional array facility for Python",
      "software_packageVersion": "1:2.3.5-1.oe2609",
      "software_homePage": "https://www.numpy.org/",
      "description": "NumPy is the fundamental package for scientific computing with Python. It contains among other things:\na powerful N-dimensional array object\nsophisticated (broadcasting) functions\ntools for integrating C/C++ and Fortran code\nuseful linear algebra, Fourier transform, and random number capabilities\nBesides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.",
      "name": "python3-numpy",
      "software_sourceInfo": "acquired package info from repodata DB: repodata/19d54a93ffbada0d8891adcbefe41a882ee7f08ec9d32c6bee1353a910c81e32-primary.sqlite.bz2",
      "software_packageUrl": "pkg:rpm/python3-numpy@2.3.5-1.oe2609?arch=x86_64&epoch=1&upstream=numpy-2.3.5-1.oe2609.src.rpm",
      "creationInfo": "_:creationInfo_0"
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      "type": "software_Package",
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      "suppliedBy": "https://anchore.com/syft/dir/repo/openeuler/openEuler-26.09/everything/x86_64-d20ca2c2-3788-4a6e-b0ed-9fccfc716ab9-specv3/SPDXRef-gnrtd19609",
      "software_downloadLocation": "NOASSERTION",
      "summary": "Utilities to provide lightweight pipelining in Python",
      "software_packageVersion": "0:1.5.3-2.oe2609",
      "software_homePage": "https://joblib.readthedocs.io/en/latest/",
      "description": "Joblib is a set of tools to provide lightweight pipelining in Python.",
      "name": "python3-joblib",
      "software_sourceInfo": "acquired package info from repodata DB: repodata/19d54a93ffbada0d8891adcbefe41a882ee7f08ec9d32c6bee1353a910c81e32-primary.sqlite.bz2",
      "software_packageUrl": "pkg:rpm/python3-joblib@1.5.3-2.oe2609?arch=noarch&epoch=0&upstream=python-joblib-1.5.3-2.oe2609.src.rpm",
      "creationInfo": "_:creationInfo_0"
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    {
      "spdxId": "https://anchore.com/syft/dir/repo/openeuler/openEuler-26.09/everything/x86_64-d20ca2c2-3788-4a6e-b0ed-9fccfc716ab9-specv3/SPDXRef-gnrtd36753",
      "type": "software_Package",
      "software_copyrightText": "",
      "suppliedBy": "https://anchore.com/syft/dir/repo/openeuler/openEuler-26.09/everything/x86_64-d20ca2c2-3788-4a6e-b0ed-9fccfc716ab9-specv3/SPDXRef-gnrtd36763",
      "software_downloadLocation": "NOASSERTION",
      "summary": "Python Driver for ArangoDB with built-in validation",
      "software_packageVersion": "0:2.1.1-2.oe2609",
      "software_homePage": "https://github.com/ArangoDB-Community/pyArango",
      "description": "pyArango aims to be an easy to use driver for ArangoDB with built in validation.\nCollections are treated as types that apply to the documents within.\nYou can be 100% permissive or enforce schemas and validate fields on set, on save or on both.\n\npyArango supports graphs, indexes and probably everything that arangodb can do.",
      "name": "python3-pyarango",
      "software_sourceInfo": "acquired package info from repodata DB: repodata/19d54a93ffbada0d8891adcbefe41a882ee7f08ec9d32c6bee1353a910c81e32-primary.sqlite.bz2",
      "software_packageUrl": "pkg:rpm/python3-pyarango@2.1.1-2.oe2609?arch=noarch&epoch=0&upstream=pyarango-2.1.1-2.oe2609.src.rpm",
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      "type": "Tool",
      "name": "syft-[not provided]",
      "creationInfo": "_:creationInfo_0"
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      "spdxId": "https://anchore.com/syft/dir/repo/openeuler/openEuler-26.09/everything/x86_64-d20ca2c2-3788-4a6e-b0ed-9fccfc716ab9-specv3/additionalToolSPDXRef-gnrtd3",
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      "name": "syft-[not provided]",
      "creationInfo": "_:creationInfo_1"
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}