mirror of
https://gitlab.com/Mr_Goldberg/goldberg_emulator.git
synced 2024-11-23 20:38:07 +01:00
Add script to generate achievements and stats configs from UserGameStatsSchema.
This commit is contained in:
Mr_Goldberg
parent
98b149b9b6
commit
1bd90756d1
3 changed files with 828 additions and 0 deletions
86
scripts/stats_schema_achievement_gen/achievements_gen.py
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86
scripts/stats_schema_achievement_gen/achievements_gen.py
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import vdf
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import sys
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import os
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import json
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if len(sys.argv) < 2:
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print("format: {} UserGameStatsSchema_480.bin".format(sys.argv[0]))
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exit(0)
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with open(sys.argv[1], 'rb') as f:
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schema = vdf.binary_loads(f.read())
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language = 'english'
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STAT_TYPE_INT = '1'
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STAT_TYPE_FLOAT = '2'
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STAT_TYPE_AVGRATE = '3'
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STAT_TYPE_BITS = '4'
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achievements_out = []
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stats_out = []
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for appid in schema:
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sch = schema[appid]
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stat_info = sch['stats']
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for s in stat_info:
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stat = stat_info[s]
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if stat['type'] == STAT_TYPE_BITS:
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achs = stat['bits']
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for ach_num in achs:
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out = {}
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ach = achs[ach_num]
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out["hidden"] = '0'
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for x in ach['display']:
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value = ach['display'][x]
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if x == 'name':
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x = 'displayName'
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if x == 'desc':
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x = 'description'
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if x == 'Hidden':
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x = 'hidden'
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if type(value) is dict:
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if language in value:
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value = value[language]
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else:
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value = ''
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out[x] = value
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out['name'] = ach['name']
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achievements_out += [out]
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else:
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out = {}
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out['default'] = 0
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out['name'] = stat['name']
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if stat['type'] == STAT_TYPE_INT:
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out['type'] = 'int'
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elif stat['type'] == STAT_TYPE_FLOAT:
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out['type'] = 'float'
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elif stat['type'] == STAT_TYPE_AVGRATE:
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out['type'] = 'avgrate'
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if 'Default' in stat:
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out['default'] = stat['Default']
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stats_out += [out]
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# print(stat_info[s])
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output_ach = json.dumps(achievements_out, indent=4)
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output_stats = ""
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for s in stats_out:
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output_stats += "{}={}={}\n".format(s['name'], s['type'], s['default'])
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# print(output_ach)
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# print(output_stats)
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config_directory = os.path.join(sys.argv[1] + "_output", "steam_settings")
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if not os.path.exists(config_directory):
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os.makedirs(config_directory)
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with open(os.path.join(config_directory, "achievements.json"), 'w') as f:
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f.write(output_ach)
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with open(os.path.join(config_directory, "stats.txt"), 'w') as f:
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f.write(output_stats)
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521
scripts/stats_schema_achievement_gen/vdf/__init__.py
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521
scripts/stats_schema_achievement_gen/vdf/__init__.py
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"""
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Module for deserializing/serializing to and from VDF
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"""
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__version__ = "3.4"
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__author__ = "Rossen Georgiev"
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import re
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import sys
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import struct
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from binascii import crc32
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from io import BytesIO
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from io import StringIO as unicodeIO
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try:
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from collections.abc import Mapping
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except:
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from collections import Mapping
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from vdf.vdict import VDFDict
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# Py2 & Py3 compatibility
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if sys.version_info[0] >= 3:
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string_type = str
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int_type = int
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BOMS = '\ufffe\ufeff'
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def strip_bom(line):
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return line.lstrip(BOMS)
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else:
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from StringIO import StringIO as strIO
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string_type = basestring
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int_type = long
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BOMS = '\xef\xbb\xbf\xff\xfe\xfe\xff'
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BOMS_UNICODE = '\\ufffe\\ufeff'.decode('unicode-escape')
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def strip_bom(line):
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return line.lstrip(BOMS if isinstance(line, str) else BOMS_UNICODE)
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# string escaping
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_unescape_char_map = {
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r"\n": "\n",
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r"\t": "\t",
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r"\v": "\v",
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r"\b": "\b",
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r"\r": "\r",
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r"\f": "\f",
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r"\a": "\a",
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r"\\": "\\",
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r"\?": "?",
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r"\"": "\"",
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r"\'": "\'",
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}
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_escape_char_map = {v: k for k, v in _unescape_char_map.items()}
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def _re_escape_match(m):
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return _escape_char_map[m.group()]
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def _re_unescape_match(m):
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return _unescape_char_map[m.group()]
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def _escape(text):
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return re.sub(r"[\n\t\v\b\r\f\a\\\?\"']", _re_escape_match, text)
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def _unescape(text):
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return re.sub(r"(\\n|\\t|\\v|\\b|\\r|\\f|\\a|\\\\|\\\?|\\\"|\\')", _re_unescape_match, text)
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# parsing and dumping for KV1
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def parse(fp, mapper=dict, merge_duplicate_keys=True, escaped=True):
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"""
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Deserialize ``s`` (a ``str`` or ``unicode`` instance containing a VDF)
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to a Python object.
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``mapper`` specifies the Python object used after deserializetion. ``dict` is
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used by default. Alternatively, ``collections.OrderedDict`` can be used if you
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wish to preserve key order. Or any object that acts like a ``dict``.
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``merge_duplicate_keys`` when ``True`` will merge multiple KeyValue lists with the
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same key into one instead of overwriting. You can se this to ``False`` if you are
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using ``VDFDict`` and need to preserve the duplicates.
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"""
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if not issubclass(mapper, Mapping):
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raise TypeError("Expected mapper to be subclass of dict, got %s" % type(mapper))
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if not hasattr(fp, 'readline'):
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raise TypeError("Expected fp to be a file-like object supporting line iteration")
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stack = [mapper()]
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expect_bracket = False
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re_keyvalue = re.compile(r'^("(?P<qkey>(?:\\.|[^\\"])*)"|(?P<key>#?[a-z0-9\-\_\\\?$%<>]+))'
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r'([ \t]*('
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r'"(?P<qval>(?:\\.|[^\\"])*)(?P<vq_end>")?'
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r'|(?P<val>(?:(?<!/)/(?!/)|[a-z0-9\-\_\\\?\*\.$<> ])+)'
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r'|(?P<sblock>{[ \t]*)(?P<eblock>})?'
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r'))?',
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flags=re.I)
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for lineno, line in enumerate(fp, 1):
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if lineno == 1:
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line = strip_bom(line)
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line = line.lstrip()
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# skip empty and comment lines
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if line == "" or line[0] == '/':
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continue
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# one level deeper
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if line[0] == "{":
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expect_bracket = False
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continue
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if expect_bracket:
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raise SyntaxError("vdf.parse: expected openning bracket",
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(getattr(fp, 'name', '<%s>' % fp.__class__.__name__), lineno, 1, line))
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# one level back
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if line[0] == "}":
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if len(stack) > 1:
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stack.pop()
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continue
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raise SyntaxError("vdf.parse: one too many closing parenthasis",
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(getattr(fp, 'name', '<%s>' % fp.__class__.__name__), lineno, 0, line))
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# parse keyvalue pairs
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while True:
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match = re_keyvalue.match(line)
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if not match:
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try:
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line += next(fp)
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continue
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except StopIteration:
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raise SyntaxError("vdf.parse: unexpected EOF (open key quote?)",
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(getattr(fp, 'name', '<%s>' % fp.__class__.__name__), lineno, 0, line))
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key = match.group('key') if match.group('qkey') is None else match.group('qkey')
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val = match.group('qval')
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if val is None:
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val = match.group('val')
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if val is not None:
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val = val.rstrip()
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if val == "":
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val = None
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if escaped:
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key = _unescape(key)
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# we have a key with value in parenthesis, so we make a new dict obj (level deeper)
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if val is None:
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if merge_duplicate_keys and key in stack[-1]:
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_m = stack[-1][key]
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# we've descended a level deeper, if value is str, we have to overwrite it to mapper
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if not isinstance(_m, mapper):
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_m = stack[-1][key] = mapper()
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else:
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_m = mapper()
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stack[-1][key] = _m
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if match.group('eblock') is None:
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# only expect a bracket if it's not already closed or on the same line
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stack.append(_m)
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if match.group('sblock') is None:
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expect_bracket = True
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# we've matched a simple keyvalue pair, map it to the last dict obj in the stack
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else:
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# if the value is line consume one more line and try to match again,
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# until we get the KeyValue pair
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if match.group('vq_end') is None and match.group('qval') is not None:
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try:
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line += next(fp)
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continue
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except StopIteration:
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raise SyntaxError("vdf.parse: unexpected EOF (open quote for value?)",
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(getattr(fp, 'name', '<%s>' % fp.__class__.__name__), lineno, 0, line))
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stack[-1][key] = _unescape(val) if escaped else val
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# exit the loop
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break
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if len(stack) != 1:
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raise SyntaxError("vdf.parse: unclosed parenthasis or quotes (EOF)",
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(getattr(fp, 'name', '<%s>' % fp.__class__.__name__), lineno, 0, line))
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return stack.pop()
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def loads(s, **kwargs):
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"""
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Deserialize ``s`` (a ``str`` or ``unicode`` instance containing a JSON
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document) to a Python object.
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"""
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if not isinstance(s, string_type):
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raise TypeError("Expected s to be a str, got %s" % type(s))
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try:
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fp = unicodeIO(s)
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except TypeError:
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fp = strIO(s)
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return parse(fp, **kwargs)
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def load(fp, **kwargs):
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"""
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Deserialize ``fp`` (a ``.readline()``-supporting file-like object containing
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a JSON document) to a Python object.
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"""
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return parse(fp, **kwargs)
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def dumps(obj, pretty=False, escaped=True):
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"""
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Serialize ``obj`` to a VDF formatted ``str``.
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"""
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if not isinstance(obj, Mapping):
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raise TypeError("Expected data to be an instance of``dict``")
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if not isinstance(pretty, bool):
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raise TypeError("Expected pretty to be of type bool")
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if not isinstance(escaped, bool):
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raise TypeError("Expected escaped to be of type bool")
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return ''.join(_dump_gen(obj, pretty, escaped))
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def dump(obj, fp, pretty=False, escaped=True):
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"""
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Serialize ``obj`` as a VDF formatted stream to ``fp`` (a
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``.write()``-supporting file-like object).
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"""
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if not isinstance(obj, Mapping):
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raise TypeError("Expected data to be an instance of``dict``")
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if not hasattr(fp, 'write'):
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raise TypeError("Expected fp to have write() method")
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if not isinstance(pretty, bool):
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raise TypeError("Expected pretty to be of type bool")
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if not isinstance(escaped, bool):
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raise TypeError("Expected escaped to be of type bool")
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for chunk in _dump_gen(obj, pretty, escaped):
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fp.write(chunk)
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def _dump_gen(data, pretty=False, escaped=True, level=0):
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indent = "\t"
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line_indent = ""
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if pretty:
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line_indent = indent * level
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for key, value in data.items():
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if escaped and isinstance(key, string_type):
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key = _escape(key)
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if isinstance(value, Mapping):
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yield '%s"%s"\n%s{\n' % (line_indent, key, line_indent)
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for chunk in _dump_gen(value, pretty, escaped, level+1):
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yield chunk
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yield "%s}\n" % line_indent
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else:
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if escaped and isinstance(value, string_type):
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value = _escape(value)
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yield '%s"%s" "%s"\n' % (line_indent, key, value)
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# binary VDF
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class BASE_INT(int_type):
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def __repr__(self):
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return "%s(%d)" % (self.__class__.__name__, self)
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class UINT_64(BASE_INT):
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pass
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class INT_64(BASE_INT):
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pass
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class POINTER(BASE_INT):
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pass
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class COLOR(BASE_INT):
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pass
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BIN_NONE = b'\x00'
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BIN_STRING = b'\x01'
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BIN_INT32 = b'\x02'
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BIN_FLOAT32 = b'\x03'
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BIN_POINTER = b'\x04'
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BIN_WIDESTRING = b'\x05'
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BIN_COLOR = b'\x06'
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BIN_UINT64 = b'\x07'
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BIN_END = b'\x08'
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BIN_INT64 = b'\x0A'
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BIN_END_ALT = b'\x0B'
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def binary_loads(b, mapper=dict, merge_duplicate_keys=True, alt_format=False, raise_on_remaining=True):
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"""
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Deserialize ``b`` (``bytes`` containing a VDF in "binary form")
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to a Python object.
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``mapper`` specifies the Python object used after deserializetion. ``dict` is
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used by default. Alternatively, ``collections.OrderedDict`` can be used if you
|
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wish to preserve key order. Or any object that acts like a ``dict``.
|
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|
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``merge_duplicate_keys`` when ``True`` will merge multiple KeyValue lists with the
|
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same key into one instead of overwriting. You can se this to ``False`` if you are
|
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using ``VDFDict`` and need to preserve the duplicates.
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"""
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if not isinstance(b, bytes):
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raise TypeError("Expected s to be bytes, got %s" % type(b))
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return binary_load(BytesIO(b), mapper, merge_duplicate_keys, alt_format, raise_on_remaining)
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def binary_load(fp, mapper=dict, merge_duplicate_keys=True, alt_format=False, raise_on_remaining=False):
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"""
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Deserialize ``fp`` (a ``.read()``-supporting file-like object containing
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binary VDF) to a Python object.
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|
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``mapper`` specifies the Python object used after deserializetion. ``dict` is
|
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used by default. Alternatively, ``collections.OrderedDict`` can be used if you
|
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wish to preserve key order. Or any object that acts like a ``dict``.
|
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|
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``merge_duplicate_keys`` when ``True`` will merge multiple KeyValue lists with the
|
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same key into one instead of overwriting. You can se this to ``False`` if you are
|
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using ``VDFDict`` and need to preserve the duplicates.
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"""
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if not hasattr(fp, 'read') or not hasattr(fp, 'tell') or not hasattr(fp, 'seek'):
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raise TypeError("Expected fp to be a file-like object with tell()/seek() and read() returning bytes")
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if not issubclass(mapper, Mapping):
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raise TypeError("Expected mapper to be subclass of dict, got %s" % type(mapper))
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# helpers
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int32 = struct.Struct('<i')
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uint64 = struct.Struct('<Q')
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int64 = struct.Struct('<q')
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float32 = struct.Struct('<f')
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def read_string(fp, wide=False):
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buf, end = b'', -1
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offset = fp.tell()
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# locate string end
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while end == -1:
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chunk = fp.read(64)
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if chunk == b'':
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raise SyntaxError("Unterminated cstring (offset: %d)" % offset)
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buf += chunk
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end = buf.find(b'\x00\x00' if wide else b'\x00')
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if wide:
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end += end % 2
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# rewind fp
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fp.seek(end - len(buf) + (2 if wide else 1), 1)
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# decode string
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result = buf[:end]
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if wide:
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result = result.decode('utf-16')
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elif bytes is not str:
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result = result.decode('utf-8', 'replace')
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else:
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try:
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result.decode('ascii')
|
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except:
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result = result.decode('utf-8', 'replace')
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return result
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stack = [mapper()]
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CURRENT_BIN_END = BIN_END if not alt_format else BIN_END_ALT
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for t in iter(lambda: fp.read(1), b''):
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if t == CURRENT_BIN_END:
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if len(stack) > 1:
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stack.pop()
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continue
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break
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key = read_string(fp)
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if t == BIN_NONE:
|
||||
if merge_duplicate_keys and key in stack[-1]:
|
||||
_m = stack[-1][key]
|
||||
else:
|
||||
_m = mapper()
|
||||
stack[-1][key] = _m
|
||||
stack.append(_m)
|
||||
elif t == BIN_STRING:
|
||||
stack[-1][key] = read_string(fp)
|
||||
elif t == BIN_WIDESTRING:
|
||||
stack[-1][key] = read_string(fp, wide=True)
|
||||
elif t in (BIN_INT32, BIN_POINTER, BIN_COLOR):
|
||||
val = int32.unpack(fp.read(int32.size))[0]
|
||||
|
||||
if t == BIN_POINTER:
|
||||
val = POINTER(val)
|
||||
elif t == BIN_COLOR:
|
||||
val = COLOR(val)
|
||||
|
||||
stack[-1][key] = val
|
||||
elif t == BIN_UINT64:
|
||||
stack[-1][key] = UINT_64(uint64.unpack(fp.read(int64.size))[0])
|
||||
elif t == BIN_INT64:
|
||||
stack[-1][key] = INT_64(int64.unpack(fp.read(int64.size))[0])
|
||||
elif t == BIN_FLOAT32:
|
||||
stack[-1][key] = float32.unpack(fp.read(float32.size))[0]
|
||||
else:
|
||||
raise SyntaxError("Unknown data type at offset %d: %s" % (fp.tell() - 1, repr(t)))
|
||||
|
||||
if len(stack) != 1:
|
||||
raise SyntaxError("Reached EOF, but Binary VDF is incomplete")
|
||||
if raise_on_remaining and fp.read(1) != b'':
|
||||
fp.seek(-1, 1)
|
||||
raise SyntaxError("Binary VDF ended at offset %d, but there is more data remaining" % (fp.tell() - 1))
|
||||
|
||||
return stack.pop()
|
||||
|
||||
def binary_dumps(obj, alt_format=False):
|
||||
"""
|
||||
Serialize ``obj`` to a binary VDF formatted ``bytes``.
|
||||
"""
|
||||
buf = BytesIO()
|
||||
binary_dump(obj, buf, alt_format)
|
||||
return buf.getvalue()
|
||||
|
||||
def binary_dump(obj, fp, alt_format=False):
|
||||
"""
|
||||
Serialize ``obj`` to a binary VDF formatted ``bytes`` and write it to ``fp`` filelike object
|
||||
"""
|
||||
if not isinstance(obj, Mapping):
|
||||
raise TypeError("Expected obj to be type of Mapping")
|
||||
if not hasattr(fp, 'write'):
|
||||
raise TypeError("Expected fp to have write() method")
|
||||
|
||||
for chunk in _binary_dump_gen(obj, alt_format=alt_format):
|
||||
fp.write(chunk)
|
||||
|
||||
def _binary_dump_gen(obj, level=0, alt_format=False):
|
||||
if level == 0 and len(obj) == 0:
|
||||
return
|
||||
|
||||
int32 = struct.Struct('<i')
|
||||
uint64 = struct.Struct('<Q')
|
||||
int64 = struct.Struct('<q')
|
||||
float32 = struct.Struct('<f')
|
||||
|
||||
for key, value in obj.items():
|
||||
if isinstance(key, string_type):
|
||||
key = key.encode('utf-8')
|
||||
else:
|
||||
raise TypeError("dict keys must be of type str, got %s" % type(key))
|
||||
|
||||
if isinstance(value, Mapping):
|
||||
yield BIN_NONE + key + BIN_NONE
|
||||
for chunk in _binary_dump_gen(value, level+1, alt_format=alt_format):
|
||||
yield chunk
|
||||
elif isinstance(value, UINT_64):
|
||||
yield BIN_UINT64 + key + BIN_NONE + uint64.pack(value)
|
||||
elif isinstance(value, INT_64):
|
||||
yield BIN_INT64 + key + BIN_NONE + int64.pack(value)
|
||||
elif isinstance(value, string_type):
|
||||
try:
|
||||
value = value.encode('utf-8') + BIN_NONE
|
||||
yield BIN_STRING
|
||||
except:
|
||||
value = value.encode('utf-16') + BIN_NONE*2
|
||||
yield BIN_WIDESTRING
|
||||
yield key + BIN_NONE + value
|
||||
elif isinstance(value, float):
|
||||
yield BIN_FLOAT32 + key + BIN_NONE + float32.pack(value)
|
||||
elif isinstance(value, (COLOR, POINTER, int, int_type)):
|
||||
if isinstance(value, COLOR):
|
||||
yield BIN_COLOR
|
||||
elif isinstance(value, POINTER):
|
||||
yield BIN_POINTER
|
||||
else:
|
||||
yield BIN_INT32
|
||||
yield key + BIN_NONE
|
||||
yield int32.pack(value)
|
||||
else:
|
||||
raise TypeError("Unsupported type: %s" % type(value))
|
||||
|
||||
yield BIN_END if not alt_format else BIN_END_ALT
|
||||
|
||||
|
||||
def vbkv_loads(s, mapper=dict, merge_duplicate_keys=True):
|
||||
"""
|
||||
Deserialize ``s`` (``bytes`` containing a VBKV to a Python object.
|
||||
|
||||
``mapper`` specifies the Python object used after deserializetion. ``dict` is
|
||||
used by default. Alternatively, ``collections.OrderedDict`` can be used if you
|
||||
wish to preserve key order. Or any object that acts like a ``dict``.
|
||||
|
||||
``merge_duplicate_keys`` when ``True`` will merge multiple KeyValue lists with the
|
||||
same key into one instead of overwriting. You can se this to ``False`` if you are
|
||||
using ``VDFDict`` and need to preserve the duplicates.
|
||||
"""
|
||||
if s[:4] != b'VBKV':
|
||||
raise ValueError("Invalid header")
|
||||
|
||||
checksum, = struct.unpack('<i', s[4:8])
|
||||
|
||||
if checksum != crc32(s[8:]):
|
||||
raise ValueError("Invalid checksum")
|
||||
|
||||
return binary_loads(s[8:], mapper, merge_duplicate_keys, alt_format=True)
|
||||
|
||||
def vbkv_dumps(obj):
|
||||
"""
|
||||
Serialize ``obj`` to a VBKV formatted ``bytes``.
|
||||
"""
|
||||
data = b''.join(_binary_dump_gen(obj, alt_format=True))
|
||||
checksum = crc32(data)
|
||||
|
||||
return b'VBKV' + struct.pack('<i', checksum) + data
|
||||
221
scripts/stats_schema_achievement_gen/vdf/vdict.py
Normal file
221
scripts/stats_schema_achievement_gen/vdf/vdict.py
Normal file
|
|
@ -0,0 +1,221 @@
|
|||
import sys
|
||||
from collections import Counter
|
||||
|
||||
if sys.version_info[0] >= 3:
|
||||
_iter_values = 'values'
|
||||
_range = range
|
||||
_string_type = str
|
||||
import collections.abc as _c
|
||||
class _kView(_c.KeysView):
|
||||
def __iter__(self):
|
||||
return self._mapping.iterkeys()
|
||||
class _vView(_c.ValuesView):
|
||||
def __iter__(self):
|
||||
return self._mapping.itervalues()
|
||||
class _iView(_c.ItemsView):
|
||||
def __iter__(self):
|
||||
return self._mapping.iteritems()
|
||||
else:
|
||||
_iter_values = 'itervalues'
|
||||
_range = xrange
|
||||
_string_type = basestring
|
||||
_kView = lambda x: list(x.iterkeys())
|
||||
_vView = lambda x: list(x.itervalues())
|
||||
_iView = lambda x: list(x.iteritems())
|
||||
|
||||
|
||||
class VDFDict(dict):
|
||||
def __init__(self, data=None):
|
||||
"""
|
||||
This is a dictionary that supports duplicate keys and preserves insert order
|
||||
|
||||
``data`` can be a ``dict``, or a sequence of key-value tuples. (e.g. ``[('key', 'value'),..]``)
|
||||
The only supported type for key is str.
|
||||
|
||||
Get/set duplicates is done by tuples ``(index, key)``, where index is the duplicate index
|
||||
for the specified key. (e.g. ``(0, 'key')``, ``(1, 'key')``...)
|
||||
|
||||
When the ``key`` is ``str``, instead of tuple, set will create a duplicate and get will look up ``(0, key)``
|
||||
"""
|
||||
self.__omap = []
|
||||
self.__kcount = Counter()
|
||||
|
||||
if data is not None:
|
||||
if not isinstance(data, (list, dict)):
|
||||
raise ValueError("Expected data to be list of pairs or dict, got %s" % type(data))
|
||||
self.update(data)
|
||||
|
||||
def __repr__(self):
|
||||
out = "%s(" % self.__class__.__name__
|
||||
out += "%s)" % repr(list(self.iteritems()))
|
||||
return out
|
||||
|
||||
def __len__(self):
|
||||
return len(self.__omap)
|
||||
|
||||
def _verify_key_tuple(self, key):
|
||||
if len(key) != 2:
|
||||
raise ValueError("Expected key tuple length to be 2, got %d" % len(key))
|
||||
if not isinstance(key[0], int):
|
||||
raise TypeError("Key index should be an int")
|
||||
if not isinstance(key[1], _string_type):
|
||||
raise TypeError("Key value should be a str")
|
||||
|
||||
def _normalize_key(self, key):
|
||||
if isinstance(key, _string_type):
|
||||
key = (0, key)
|
||||
elif isinstance(key, tuple):
|
||||
self._verify_key_tuple(key)
|
||||
else:
|
||||
raise TypeError("Expected key to be a str or tuple, got %s" % type(key))
|
||||
return key
|
||||
|
||||
def __setitem__(self, key, value):
|
||||
if isinstance(key, _string_type):
|
||||
key = (self.__kcount[key], key)
|
||||
self.__omap.append(key)
|
||||
elif isinstance(key, tuple):
|
||||
self._verify_key_tuple(key)
|
||||
if key not in self:
|
||||
raise KeyError("%s doesn't exist" % repr(key))
|
||||
else:
|
||||
raise TypeError("Expected either a str or tuple for key")
|
||||
super(VDFDict, self).__setitem__(key, value)
|
||||
self.__kcount[key[1]] += 1
|
||||
|
||||
def __getitem__(self, key):
|
||||
return super(VDFDict, self).__getitem__(self._normalize_key(key))
|
||||
|
||||
def __delitem__(self, key):
|
||||
key = self._normalize_key(key)
|
||||
result = super(VDFDict, self).__delitem__(key)
|
||||
|
||||
start_idx = self.__omap.index(key)
|
||||
del self.__omap[start_idx]
|
||||
|
||||
dup_idx, skey = key
|
||||
self.__kcount[skey] -= 1
|
||||
tail_count = self.__kcount[skey] - dup_idx
|
||||
|
||||
if tail_count > 0:
|
||||
for idx in _range(start_idx, len(self.__omap)):
|
||||
if self.__omap[idx][1] == skey:
|
||||
oldkey = self.__omap[idx]
|
||||
newkey = (dup_idx, skey)
|
||||
super(VDFDict, self).__setitem__(newkey, self[oldkey])
|
||||
super(VDFDict, self).__delitem__(oldkey)
|
||||
self.__omap[idx] = newkey
|
||||
|
||||
dup_idx += 1
|
||||
tail_count -= 1
|
||||
if tail_count == 0:
|
||||
break
|
||||
|
||||
if self.__kcount[skey] == 0:
|
||||
del self.__kcount[skey]
|
||||
|
||||
return result
|
||||
|
||||
def __iter__(self):
|
||||
return iter(self.iterkeys())
|
||||
|
||||
def __contains__(self, key):
|
||||
return super(VDFDict, self).__contains__(self._normalize_key(key))
|
||||
|
||||
def __eq__(self, other):
|
||||
if isinstance(other, VDFDict):
|
||||
return list(self.items()) == list(other.items())
|
||||
else:
|
||||
return False
|
||||
|
||||
def __ne__(self, other):
|
||||
return not self.__eq__(other)
|
||||
|
||||
def clear(self):
|
||||
super(VDFDict, self).clear()
|
||||
self.__kcount.clear()
|
||||
self.__omap = list()
|
||||
|
||||
def get(self, key, *args):
|
||||
return super(VDFDict, self).get(self._normalize_key(key), *args)
|
||||
|
||||
def setdefault(self, key, default=None):
|
||||
if key not in self:
|
||||
self.__setitem__(key, default)
|
||||
return self.__getitem__(key)
|
||||
|
||||
def pop(self, key):
|
||||
key = self._normalize_key(key)
|
||||
value = self.__getitem__(key)
|
||||
self.__delitem__(key)
|
||||
return value
|
||||
|
||||
def popitem(self):
|
||||
if not self.__omap:
|
||||
raise KeyError("VDFDict is empty")
|
||||
key = self.__omap[-1]
|
||||
return key[1], self.pop(key)
|
||||
|
||||
def update(self, data=None, **kwargs):
|
||||
if isinstance(data, dict):
|
||||
data = data.items()
|
||||
elif not isinstance(data, list):
|
||||
raise TypeError("Expected data to be a list or dict, got %s" % type(data))
|
||||
|
||||
for key, value in data:
|
||||
self.__setitem__(key, value)
|
||||
|
||||
def iterkeys(self):
|
||||
return (key[1] for key in self.__omap)
|
||||
|
||||
def keys(self):
|
||||
return _kView(self)
|
||||
|
||||
def itervalues(self):
|
||||
return (self[key] for key in self.__omap)
|
||||
|
||||
def values(self):
|
||||
return _vView(self)
|
||||
|
||||
def iteritems(self):
|
||||
return ((key[1], self[key]) for key in self.__omap)
|
||||
|
||||
def items(self):
|
||||
return _iView(self)
|
||||
|
||||
def get_all_for(self, key):
|
||||
""" Returns all values of the given key """
|
||||
if not isinstance(key, _string_type):
|
||||
raise TypeError("Key needs to be a string.")
|
||||
return [self[(idx, key)] for idx in _range(self.__kcount[key])]
|
||||
|
||||
def remove_all_for(self, key):
|
||||
""" Removes all items with the given key """
|
||||
if not isinstance(key, _string_type):
|
||||
raise TypeError("Key need to be a string.")
|
||||
|
||||
for idx in _range(self.__kcount[key]):
|
||||
super(VDFDict, self).__delitem__((idx, key))
|
||||
|
||||
self.__omap = list(filter(lambda x: x[1] != key, self.__omap))
|
||||
|
||||
del self.__kcount[key]
|
||||
|
||||
def has_duplicates(self):
|
||||
"""
|
||||
Returns ``True`` if the dict contains keys with duplicates.
|
||||
Recurses through any all keys with value that is ``VDFDict``.
|
||||
"""
|
||||
for n in getattr(self.__kcount, _iter_values)():
|
||||
if n != 1:
|
||||
return True
|
||||
|
||||
def dict_recurse(obj):
|
||||
for v in getattr(obj, _iter_values)():
|
||||
if isinstance(v, VDFDict) and v.has_duplicates():
|
||||
return True
|
||||
elif isinstance(v, dict):
|
||||
return dict_recurse(v)
|
||||
return False
|
||||
|
||||
return dict_recurse(self)
|
||||
Loading…
Reference in a new issue