How to use the guessit.patterns.build_or_pattern function in guessit
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caronc / nzb-subliminal / Subliminal / guessit / transfo / guess_weak_episodes_rexps.py View on Github 
epnum = parse_numeral(episodeNumber)
if not valid_year(epnum):
if epnum > 100:
season, epnum = epnum // 100, epnum % 100
# episodes which have a season > 50 are most likely errors
# (Simpson is at 25!)
if season > 50:
return None
return {'season': season, 'episodeNumber': epnum}
else:
return epnum
self.container.register_property(['episodeNumber', 'season'], '[0-9]{2,4}', confidence=0.6, formatter=_formater, disabler=lambda options: options.get('episode_prefer_number') if options else False)
self.container.register_property(['episodeNumber', 'season'], '[0-9]{4}', confidence=0.6, formatter=_formater)
self.container.register_property('episodeNumber', '[^0-9](\d{1,3})', confidence=0.6, formatter=parse_numeral, disabler=lambda options: not options.get('episode_prefer_number') if options else True)
self.container.register_property(None, '(' + build_or_pattern(episode_words) + sep + '?(?P' + numeral + '))[^0-9]', confidence=0.4, formatter=parse_numeral)
self.container.register_property(None, r'(?P' + numeral + ')' + sep + '?' + of_separators_re.pattern + sep + '?(?P' + numeral +')', confidence=0.6, formatter=parse_numeral)
self.container.register_property('episodeNumber', r'^' + sep + '?(\d{1,3})' + sep, confidence=0.4, formatter=parse_numeral, disabler=lambda options: not options.get('episode_prefer_number') if options else True)
self.container.register_property('episodeNumber', sep + r'(\d{1,3})' + sep + '?$', confidence=0.4, formatter=parse_numeral, disabler=lambda options: not options.get('episode_prefer_number') if options else True)episode_words = ['episodes?']
season_markers = ['s']
episode_markers = ['e', 'ep']
discrete_sep = sep
for range_separator in range_separators:
discrete_sep = discrete_sep.replace(range_separator, '')
discrete_separators.append(discrete_sep)
all_separators = list(range_separators)
all_separators.extend(discrete_separators)
self.container = PropertiesContainer(enhance=False, canonical_from_pattern=False)
range_separators_re = re.compile(build_or_pattern(range_separators), re.IGNORECASE)
discrete_separators_re = re.compile(build_or_pattern(discrete_separators), re.IGNORECASE)
all_separators_re = re.compile(build_or_pattern(all_separators), re.IGNORECASE)
of_separators_re = re.compile(build_or_pattern(of_separators, escape=True), re.IGNORECASE)
season_words_re = re.compile(build_or_pattern(season_words), re.IGNORECASE)
episode_words_re = re.compile(build_or_pattern(episode_words), re.IGNORECASE)
season_markers_re = re.compile(build_or_pattern(season_markers), re.IGNORECASE)
episode_markers_re = re.compile(build_or_pattern(episode_markers), re.IGNORECASE)
def list_parser(value, property_list_name, discrete_separators_re=discrete_separators_re, range_separators_re=range_separators_re, allow_discrete=False, fill_gaps=False):
discrete_elements = filter(lambda x: x != '', discrete_separators_re.split(value))
discrete_elements = [x.strip() for x in discrete_elements]
proper_discrete_elements = []
i = 0
while i < len(discrete_elements):discrete_sep = discrete_sep.replace(range_separator, '')
discrete_separators.append(discrete_sep)
all_separators = list(range_separators)
all_separators.extend(discrete_separators)
self.container = PropertiesContainer(enhance=False, canonical_from_pattern=False)
range_separators_re = re.compile(build_or_pattern(range_separators), re.IGNORECASE)
discrete_separators_re = re.compile(build_or_pattern(discrete_separators), re.IGNORECASE)
all_separators_re = re.compile(build_or_pattern(all_separators), re.IGNORECASE)
of_separators_re = re.compile(build_or_pattern(of_separators, escape=True), re.IGNORECASE)
season_words_re = re.compile(build_or_pattern(season_words), re.IGNORECASE)
episode_words_re = re.compile(build_or_pattern(episode_words), re.IGNORECASE)
season_markers_re = re.compile(build_or_pattern(season_markers), re.IGNORECASE)
episode_markers_re = re.compile(build_or_pattern(episode_markers), re.IGNORECASE)
def list_parser(value, property_list_name, discrete_separators_re=discrete_separators_re, range_separators_re=range_separators_re, allow_discrete=False, fill_gaps=False):
discrete_elements = filter(lambda x: x != '', discrete_separators_re.split(value))
discrete_elements = [x.strip() for x in discrete_elements]
proper_discrete_elements = []
i = 0
while i < len(discrete_elements):
if i < len(discrete_elements) - 2 and range_separators_re.match(discrete_elements[i+1]):
proper_discrete_elements.append(discrete_elements[i] + discrete_elements[i+1] + discrete_elements[i+2])
i += 3
else:
match = range_separators_re.search(discrete_elements[i])
if match and match.start() == 0:
proper_discrete_elements[i - 1] += discrete_elements[i]discrete_sep = sep
for range_separator in range_separators:
discrete_sep = discrete_sep.replace(range_separator, '')
discrete_separators.append(discrete_sep)
all_separators = list(range_separators)
all_separators.extend(discrete_separators)
self.container = PropertiesContainer(enhance=False, canonical_from_pattern=False)
range_separators_re = re.compile(build_or_pattern(range_separators), re.IGNORECASE)
discrete_separators_re = re.compile(build_or_pattern(discrete_separators), re.IGNORECASE)
all_separators_re = re.compile(build_or_pattern(all_separators), re.IGNORECASE)
of_separators_re = re.compile(build_or_pattern(of_separators, escape=True), re.IGNORECASE)
season_words_re = re.compile(build_or_pattern(season_words), re.IGNORECASE)
episode_words_re = re.compile(build_or_pattern(episode_words), re.IGNORECASE)
season_markers_re = re.compile(build_or_pattern(season_markers), re.IGNORECASE)
episode_markers_re = re.compile(build_or_pattern(episode_markers), re.IGNORECASE)
def list_parser(value, property_list_name, discrete_separators_re=discrete_separators_re, range_separators_re=range_separators_re, allow_discrete=False, fill_gaps=False):
discrete_elements = filter(lambda x: x != '', discrete_separators_re.split(value))
discrete_elements = [x.strip() for x in discrete_elements]
proper_discrete_elements = []
i = 0
while i < len(discrete_elements):
if i < len(discrete_elements) - 2 and range_separators_re.match(discrete_elements[i+1]):
proper_discrete_elements.append(discrete_elements[i] + discrete_elements[i+1] + discrete_elements[i+2])
i += 3
else:season_markers = ['s']
episode_markers = ['e', 'ep']
discrete_sep = sep
for range_separator in range_separators:
discrete_sep = discrete_sep.replace(range_separator, '')
discrete_separators.append(discrete_sep)
all_separators = list(range_separators)
all_separators.extend(discrete_separators)
self.container = PropertiesContainer(enhance=False, canonical_from_pattern=False)
range_separators_re = re.compile(build_or_pattern(range_separators), re.IGNORECASE)
discrete_separators_re = re.compile(build_or_pattern(discrete_separators), re.IGNORECASE)
all_separators_re = re.compile(build_or_pattern(all_separators), re.IGNORECASE)
of_separators_re = re.compile(build_or_pattern(of_separators, escape=True), re.IGNORECASE)
season_words_re = re.compile(build_or_pattern(season_words), re.IGNORECASE)
episode_words_re = re.compile(build_or_pattern(episode_words), re.IGNORECASE)
season_markers_re = re.compile(build_or_pattern(season_markers), re.IGNORECASE)
episode_markers_re = re.compile(build_or_pattern(episode_markers), re.IGNORECASE)
def list_parser(value, property_list_name, discrete_separators_re=discrete_separators_re, range_separators_re=range_separators_re, allow_discrete=False, fill_gaps=False):
discrete_elements = filter(lambda x: x != '', discrete_separators_re.split(value))
discrete_elements = [x.strip() for x in discrete_elements]
proper_discrete_elements = []
i = 0
while i < len(discrete_elements):
if i < len(discrete_elements) - 2 and range_separators_re.match(discrete_elements[i+1]):season_markers = ['s']
episode_markers = ['e', 'ep']
discrete_sep = sep
for range_separator in range_separators:
discrete_sep = discrete_sep.replace(range_separator, '')
discrete_separators.append(discrete_sep)
all_separators = list(range_separators)
all_separators.extend(discrete_separators)
self.container = PropertiesContainer(enhance=False, canonical_from_pattern=False)
range_separators_re = re.compile(build_or_pattern(range_separators), re.IGNORECASE)
discrete_separators_re = re.compile(build_or_pattern(discrete_separators), re.IGNORECASE)
all_separators_re = re.compile(build_or_pattern(all_separators), re.IGNORECASE)
of_separators_re = re.compile(build_or_pattern(of_separators, escape=True), re.IGNORECASE)
season_words_re = re.compile(build_or_pattern(season_words), re.IGNORECASE)
episode_words_re = re.compile(build_or_pattern(episode_words), re.IGNORECASE)
season_markers_re = re.compile(build_or_pattern(season_markers), re.IGNORECASE)
episode_markers_re = re.compile(build_or_pattern(episode_markers), re.IGNORECASE)
def list_parser(value, property_list_name, discrete_separators_re=discrete_separators_re, range_separators_re=range_separators_re, allow_discrete=False, fill_gaps=False):
discrete_elements = filter(lambda x: x != '', discrete_separators_re.split(value))
discrete_elements = [x.strip() for x in discrete_elements]
proper_discrete_elements = []
i = 0
while i < len(discrete_elements):
if i < len(discrete_elements) - 2 and range_separators_re.match(discrete_elements[i+1]):
proper_discrete_elements.append(discrete_elements[i] + discrete_elements[i+1] + discrete_elements[i+2])def __init__(self):
Transformer.__init__(self, 20)
of_separators = ['of', 'sur', '/', '\\']
of_separators_re = re.compile(build_or_pattern(of_separators, escape=True), re.IGNORECASE)
season_words = ['seasons?', 'saisons?', 'series?']
episode_words = ['episodes?']
season_markers = ['s']
episode_markers = ['e', 'ep']
self.container = PropertiesContainer(enhance=False, canonical_from_pattern=False)
season_words_re = re.compile(build_or_pattern(season_words), re.IGNORECASE)
episode_words_re = re.compile(build_or_pattern(episode_words), re.IGNORECASE)
season_markers_re = re.compile(build_or_pattern(season_markers), re.IGNORECASE)
episode_markers_re = re.compile(build_or_pattern(episode_markers), re.IGNORECASE)
def episode_parser_x(value):
return list_parser(value, 'episodeList', discrete_separators_re=re.compile('x', re.IGNORECASE))
def episode_parser_e(value):
return list_parser(value, 'episodeList', discrete_separators_re=re.compile('e', re.IGNORECASE), fill_gaps=True)
def episode_parser(value):
return list_parser(value, 'episodeList')
def season_parser(value):
return list_parser(value, 'seasonList')of_separators = ['of', 'sur', '/', '\\']
of_separators_re = re.compile(build_or_pattern(of_separators, escape=True), re.IGNORECASE)
season_words = ['seasons?', 'saisons?', 'series?']
episode_words = ['episodes?']
season_markers = ['s']
episode_markers = ['e', 'ep']
self.container = PropertiesContainer(enhance=False, canonical_from_pattern=False)
season_words_re = re.compile(build_or_pattern(season_words), re.IGNORECASE)
episode_words_re = re.compile(build_or_pattern(episode_words), re.IGNORECASE)
season_markers_re = re.compile(build_or_pattern(season_markers), re.IGNORECASE)
episode_markers_re = re.compile(build_or_pattern(episode_markers), re.IGNORECASE)
def episode_parser_x(value):
return list_parser(value, 'episodeList', discrete_separators_re=re.compile('x', re.IGNORECASE))
def episode_parser_e(value):
return list_parser(value, 'episodeList', discrete_separators_re=re.compile('e', re.IGNORECASE), fill_gaps=True)
def episode_parser(value):
return list_parser(value, 'episodeList')
def season_parser(value):
return list_parser(value, 'seasonList')
class ResolutionCollisionValidator(object):
@staticmethod'2.0': ['2[\W_]0', '2ch', 'stereo'],
'1.0': ['1[\W_]0', '1ch', 'mono']
})
register_quality('audioChannels', {'7.1': 200,
'5.1': 100,
'2.0': 0,
'1.0': -100
})
self.container.register_property('episodeFormat', r'Minisodes?', canonical_form='Minisode')
self.container.register_property('crc32', '(?:[a-fA-F]|[0-9]){8}', enhance=False, canonical_from_pattern=False)
weak_episode_words = ['pt', 'part']
self.container.register_property(None, '(' + build_or_pattern(weak_episode_words) + sep + '?(?P' + numeral + '))[^0-9]', enhance=False, canonical_from_pattern=False, confidence=0.4, formatter=parse_numeral)
register_property('other', {'AudioFix': ['Audio-Fix', 'Audio-Fixed'],
'SyncFix': ['Sync-Fix', 'Sync-Fixed'],
'DualAudio': ['Dual-Audio'],
'WideScreen': ['ws', 'wide-screen'],
'Netflix': ['Netflix', 'NF']
})
self.container.register_property('other', 'Real', 'Fix', canonical_form='Proper', validator=NeighborValidator())
self.container.register_property('other', 'Proper', 'Repack', 'Rerip', canonical_form='Proper')
self.container.register_property('other', 'Fansub', canonical_form='Fansub')
self.container.register_property('other', 'Fastsub', canonical_form='Fastsub')
self.container.register_property('other', '(?:Seasons?' + sep + '?)?Complete', canonical_form='Complete')
self.container.register_property('other', 'R5', 'RC', canonical_form='R5')
self.container.register_property('other', 'Pre-Air', 'Preair', canonical_form='Preair')guessit
GuessIt - a library for guessing information from video filenames.
Package Health Score
62 / 100Popular guessit functions
- guessit.containers.PropertiesContainer
- guessit.Guess
- guessit.guess.Guess
- guessit.guess_file_info
- guessit.guessit
- guessit.matcher.found_property
- guessit.matcher.GuessFinder
- guessit.matcher.IterativeMatcher
- guessit.matchtree.MatchTree
- guessit.patterns.build_or_pattern
- guessit.patterns.numeral.parse_numeral
- guessit.patterns.sep
- guessit.plugins.transformers.all_transformers
- guessit.plugins.transformers.get_transformer
- guessit.plugins.transformers.Transformer
- guessit.plugins.transformers.Transformer.__init__
- guessit.quality.register_quality
- guessit.rules.common.pattern.is_disabled
- guessit.textutils.str_fill
- guessit.u