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    "info": {
        "author": "Siegfried G\u00fcndert",
        "author_email": "siegfried.guendert@googlemail.com",
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            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3",
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        "description": "# hdfdict helps h5py to dump and load python dictionaries\n\n[![Build Status](https://travis-ci.org/SiggiGue/hdfdict.svg?branch=master)](https://travis-ci.org/SiggiGue/hdfdict)\n\n[![Coverage Status](https://coveralls.io/repos/github/SiggiGue/hdfdict/badge.svg?branch=master)](https://coveralls.io/github/SiggiGue/hdfdict?branch=master)\n\nIf you have a hierarchical data structure of numpy arrays in a dictionary for example, you can use this tool to save this dictionary into a h5py `File()` or `Group()` and load it again.\nThis tool just maps the hdf `Groups` to dict `keys` and the `Datset` to dict `values`.\nOnly types supported by h5py can be used.\nThe dicitonary-keys need to be strings until now.\n\nA lazy loading option is activated per default. So big h5 files are not loaded at once. Instead a dataset gets only loaded if it is accessed from the LazyHdfDict instance.\n\n\n## Example\n\n```python\nimport hdfdict\nimport numpy as np\n\n\nd = {\n    'a': np.random.randn(10),\n    'b': [1, 2, 3],\n    'c': 'Hallo',\n    'd': np.array(['a', 'b']).astype('S'),\n    'e': True,\n    'f': (True, False),\n}\nfname = 'test_hdfdict.h5'\nhdfdict.dump(d, fname)\nres = hdfdict.load(fname)\n\nprint(res)\n```\n\nOutput:\n`\n{'a': <HDF5 dataset \"a\": shape (10,), type \"<f8\">, 'b': <HDF5 dataset \"b\": shape (3,), type \"<i8\">, 'c': <HDF5 dataset \"c\": shape (), type \"|O\">, 'd': <HDF5 dataset \"d\": shape (2,), type \"|S1\">, 'e': <HDF5 dataset \"e\": shape (), type \"|b1\">, 'f': <HDF5 dataset \"f\": shape (2,), type \"|b1\">}\n`\n\nThis are all lazy loding fields in the result `res`.\nJust call `res.unlazy()` or `dict(res)` to get all fields loaded.\nIf you only want to load specific fields, just use item access e.g. `res['a']` so only field 'a' will be loaded from the file.\n\n\n```python\nprint(dict(res))`\n```\n\nOutput:\n`\n{'a': array([-0.47666824,  0.11787749,  0.51405835, -1.49557787, -0.33617182,\n       -0.22381693,  0.25966526,  0.58160661,  0.17019176,  1.3167669 ]), 'b': array([1, 2, 3]), 'c': 'Hallo', 'd': array([b'a', b'b'], dtype='|S1'), 'e': True, 'f': array([ True, False])}\n`\n\n\n\n\n\n## Installation\n\n+ `pip install hdfdict`\n+ `poetry install hdfdict`\n+ `git clone https://github.com/SiggiGue/hdfdict.git` and `python hdfdict/setup.py install`\n",
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        "license": "MIT",
        "maintainer": "Siegfried G\u00fcndert",
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