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        "author": "Quinn Freedman",
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        "description": "# QueryTree\n\nQueryTree is a python data structure that lets you quickly access deeply nested data and load/save it in any major format.\n\nWith QueryTree, you don't have to check for the esistance of (or create) any intermediate nodes.\n\n```python\njson_str = \"\"\"\n{\n    \"foo\": {\n        \"bar\": [\n            {\n                \"baz\": {\n                    \"n\": 1\n                }\n            },\n            {\n                \"baz\": {\n                    \"n\": 1\n                },\n                \"buz\": {\n                    \"k\": 2\n                }\n            }\n        ]\n    }\n}\n\"\"\"\n\ntree = Tree.parse_json(json_str)\nprint(tree['foo.bar.0.baz.n'])  # 1\nprint(tree['foo.bar.1.buz.k'])  # 2\n\n# accessing nonexistant locations isn't a problem\nprint(tree['foo.bar.0.buz.k'])  # None\nprint(tree['something.else'])   # None\n\n# assign values\ntree['foo.bar.0.baz.n'] = 99\ntree['foo.foo'] = {\"myvalue\": \"a value\"}\n\n# save as any format\nprint(tree.to_yaml())\n```\nOutputs:\n```yaml\nfoo:\n  bar:\n  - baz:\n      n: 99\n  - baz:\n      n: 1\n    buz:\n      k: 2\n  foo:\n    myvalue: a value\n```\n\n\n",
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