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        "author": "ytyng",
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        "description": "verticaltable\n~~~~~~~~~~~~~\n\nThis is an structured text parser.\n\n\nformat\n------\n\nexample 1:\n\nsource:\n::\n\n  [Q] This is a question.\n  [A] This is an answer.\n  [Q] This is a question2.\n  # This is comment\n  [A] This is an answer2.\n\nparsed:\n\n::\n\n  [\n    {\n      'Q': 'This is a question.',\n      'A': 'This is an answer.',\n    },\n    {\n      'Q': 'This is a question2.',\n      'A': 'This is an answer2.',\n    },\n  ]\n\n* If the same key appeared, Next record.\n* Actuary, output is OrderedDict list. Not Dict list.\n\nsource:\n::\n\n  [Key1]\n  Value1\n  [Key2]\n  Value2\n  ----\n  [Key3]\n  Value3\n  next line\n  next line\n  [Key4]\n\n  Value4    4!\n\n  [Key5]\n  Value5\n\nparsed:\n\n::\n\n  [\n    {\n      'Key1': 'Value1',\n      'Key2': 'Value2',\n    },\n    {\n      'Key3': 'Value3\\nnext line\\nnext line',\n      'Key4': 'Value4    4!',\n      'Key5': 'Value5',\n    }\n\n* Whitespace trimmed.\n* \"----\" (Hyphens >= 4) is list separator.\n\n\nusage\n-----\n\n::\n\n  import verticaltable\n\n  fp = open('sample.txt')\n\n  parsed_list = verticaltable.loads(fp.read())\n\n  parsed_list2 = verticaltable.load(open('sample2.txt'))\n",
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