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        "author": "Jordan Matelsky",
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        "description": "<h2 align=center>j q u e</h2>\n<p align=center>Query JSON in memory as though it were a Mongo database</p>\n<p align=center><a href=\"https://pypi.org/project/jque/\"><img src=\"https://img.shields.io/pypi/v/jque.svg\" /></a> <a href=\"https://circleci.com/gh/j6k4m8/jque\"><img src=\"https://img.shields.io/circleci/project/github/RedSparr0w/node-csgo-parser.svg\" /></a> <img src=\"https://img.shields.io/badge/extremely_rad-%F0%9F%A4%99-blue.svg\" /> <img src=\"https://img.shields.io/github/license/j6k4m8/jque.svg\" /><a href=\"https://codecov.io/gh/j6k4m8/jque\">\n  <img src=\"https://codecov.io/gh/j6k4m8/jque/branch/master/graph/badge.svg\" />\n</a></p>\n\n## Installation\n\n```shell\npip3 install jque\n```\n\n## Usage\n\n```python\nimport jque\n```\n\n`jque` accepts a variety of inputs to the constructor.\n\nPass a list of dicts:\n```python\ndata = jque.jque([\n    { \"name\": \"john\" }, \n    { \"name\": \"paul\" }, \n    { \"name\": \"george\" }, \n    { \"name\": \"ringo\" }\n])\n```\n\nPass a JSON filename:\n```python\nDATAFILE = \"~/my/big/data.json\"\ndata = jque.jque(DATAFILE)\n```\n\nNow you can query this dataset using Mongo-like syntax:\n\n```python\n>>> data.query({ \"name\": {\"$neq\": \"paul\"} })\n[\n    { \"name\": \"john\" },\n    { \"name\": \"george\" }, \n    { \"name\": \"ringo\" }\n]\n```\n\n### Arguments to `query`:\n\n| Arg | Description |\n|-----|-------------|\n| `wrap` (`boolean` : `True`) | Whether to wrap the resultant dataset in a new `jque` object. This allows chaining, like `jque.query(...).query(...)`, if you're the sort of person to do that. Pass `False` to get back a `list` instead. |\n\n\n### Another example!\n\n```python\ndata = jque.jque([{\n    \"_id\": \"ABC\",\n    \"name\": \"Arthur Dent\",\n    \"age\": 42,\n    \"current_planet\": \"earth\"\n}, {\n    \"_id\": \"DE2\",\n    \"name\": \"Penny Lane\",\n    \"age\": 19,\n    \"current_planet\": \"earth\"\n}, {\n    \"_id\": \"123\",\n    \"name\": \"Ford Prefect\",\n    \"age\": 240,\n    \"current_planet\": \"Brontitall\"\n}])\n```\n\n```python\nteenage_earthlings = data.query({\n    \"current_planet\": {\"$eq\": \"earth\"},\n    \"age\": { \"$lte\": 20, \"$gte\": 10 }\n})\n```\n\nWhich returns:\n\n```python\n[{\n    \"_id\": \"DE2\",\n    \"name\": \"Penny Lane\",\n    \"age\": 19,\n    \"current_planet\": \"earth\"\n}]\n```\n\n\nUse Python lambdas as a filter:\n\n```python\n>>> libraries = jque.jque([\n...     {\"name\": \"jque\", \"language\": \"Python\"}, \n...     {\"name\": \"react\", \"language\": \"node\"}\n... ])\n>>> list(libraries.query({\n...     'language': lambda x: x[:2] == \"Py\"\n... }))\n[{\"name\": \"jque\", \"language\": \"Python\"}]\n```\n\n\n\n",
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