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        "description": "# Trishula - The modern parser combinator for Python 3\n\nTrishula is a parser combinator library extended PEG syntaxes, inspired by Parsimmon(ES) and boost::spirit::qi(C++).\n\nTrishula supports python version >= 3.7.0\n\n## Examples\n\n```python\ngrammar = (\n    Value(\"aaa\")\n    >> (Value(\"bbb\") | Value(\"ccc\"))\n    >> (+Value(\"eee\") >= (lambda x: \"modified\"))\n    >> -Value(\"f\")\n    >> Value(\"g\")\n    >> Regexp(r\"a+\")\n    >> Not(Value(\"hhh\"))\n)\n# This works\nprint(vars(Parser().parse(grammar, \"aaaccceeeeeeeeeeeefgaaa\")))\n\n# {\n#      'status': <Status.SUCCEED: 1>,\n#      'index': 23,\n#      'value': [[[[[['aaa', 'ccc'], 'modified'], 'f'], 'g'], 'aaa'], None]\n# }\n```\n\nYou can see examples in [\"example\" directory](https://github.com/minamorl/trishula/blob/master/example) (execute it under example directory). \n\n## Description\n\nGrammers can be defined by **Value** and **Regexp** primitive and operators. Below we describe operators.\n\n## Operators\n\nAs mentioned above, Trishula uses many operator overloads to make definition of parsers be easier.\n\n| operator | result |\n----|---- \n| >> | Sequence |\n| \\| | OrderedChoise |\n| ~ | ZeroOrMore |\n| + | OneOrMore |\n| - | Optional |\n| >= | Map |\n| @ | NamedParser |\n\nand we have classes named **Not** and **And**, which are made for prediction.\n\n\n## Recursion\n\nTrishula supports recursion with `Ref`. Recursion can be written like this:\n\n```python\ndef grammar():\n   return (\n        (Value(\"[]\") >= (lambda x: [])) |\n        ((\n            Value(\"[\") >>\n            Ref(grammar) >>\n            Value(\"]\")\n        ) >= (lambda x: [x[0][1]]))\n    )\n\ndef main():\n    result = Parser().parse(grammar(), \"[[[]]]\")\n    print(vars(result))\n    # => {'status': <Status.SUCCEED: 1>, 'index': 6, 'value': [[[]]]}\n```\n\nBe aware that `Ref` executes function only once so that parser can be memorized.\n\n## Namespace\n\nNamespace is one of Trishula's powerful features. You can name your parser and retrieve values with map (as dict).\n\nUsage is simple. Mark the parser with `@` operator like `parser @ \"name\"` and surround with `Namespace(parser)`. Then you can grab values with `Namespace(parser) => fn`. fn is a callable taking dict type and returns new value. \n\n```python\nimport trishula as T\n\n\ndef main():\n    grammar = T.Namespace(\n        T.Value(\"[\") >> (T.Regexp(r\"[0-9]+\") >= (float)) @ \"value\" >> T.Value(\"]\")\n    ) >= (lambda a_dict: a_dict[\"value\"])\n    result = T.Parser().parse(grammar, \"[12345]\")\n    print(vars(result))\n    # ==> {'status': <Status.SUCCEED: 1>, 'index': 7, 'value': 12345.0, 'namespace': {}}\n\n\nmain()\n```\n\nNote that after mapped function called, internal namespace is cleaned up with empty dict.\n\n\n## Conditional parsing\n\nYou can do something like this:\n```python\ndef main():\n    def cond(value):\n        d = {\n            \"(\": \")\",\n            \"{\": \"}\",\n            \"[\": \"]\",\n        }\n        return T.Value(d.get(value[0]))\n\n\n    grammar = T.Namespace(\n        T.Value(\"[\")\n        >> +(T.Regexp(r\"[a-z]\") | T.Value(\"\\n\")) @ \"value\"\n        >> T.Conditional(cond)\n    )\n    result = T.Parser().parse(grammar, \"[abcd\\n\\nefg]\")\n    print(result)\n\n\nmain()\n```\n\n`Conditional` take one argument that receive a value and return parser. It runs dynamically so that you can choose a parser at runtime.\n\n\n## Utils\n\nThere are `sep_by`, `sep_by1`, and `index`.\n\n## Generator\n\n```\nimport trishula as T\n\n\n@T.define_parser\ndef parser():\n    yield T.Value(\"aaa\")\n    v = yield T.Value(\"bbb\")\n    yield T.Value(\"ccc\")\n    # Do not forget to return a value\n    yield v\n\nprint(T.Parser().parse(parser, \"aaabbbccc\"))\n# ==> <Success index='9' value='bbb' namespace='{}'>\n```\n\n\n",
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