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Rename to url_match
Rename to `url_match` and update docs.
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@ -59,7 +59,7 @@ URL_PATTERN = (
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).strip()
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TOKEN_MATCH = None
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TOKEN_MATCH_WITH_AFFIXES = re.compile("(?u)" + URL_PATTERN).match
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URL_MATCH = re.compile("(?u)" + URL_PATTERN).match
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BASE_EXCEPTIONS = {}
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@ -28,7 +28,7 @@ from ._ml import link_vectors_to_models, create_default_optimizer
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from .attrs import IS_STOP, LANG, NORM
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from .lang.punctuation import TOKENIZER_PREFIXES, TOKENIZER_SUFFIXES
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from .lang.punctuation import TOKENIZER_INFIXES
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from .lang.tokenizer_exceptions import TOKEN_MATCH, TOKEN_MATCH_WITH_AFFIXES
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from .lang.tokenizer_exceptions import TOKEN_MATCH, URL_MATCH
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from .lang.norm_exceptions import BASE_NORMS
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from .lang.tag_map import TAG_MAP
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from .tokens import Doc
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@ -89,7 +89,7 @@ class BaseDefaults(object):
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def create_tokenizer(cls, nlp=None):
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rules = cls.tokenizer_exceptions
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token_match = cls.token_match
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token_match_with_affixes = cls.token_match_with_affixes
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url_match = cls.url_match
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prefix_search = (
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util.compile_prefix_regex(cls.prefixes).search if cls.prefixes else None
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)
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@ -107,12 +107,12 @@ class BaseDefaults(object):
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suffix_search=suffix_search,
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infix_finditer=infix_finditer,
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token_match=token_match,
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token_match_with_affixes=token_match_with_affixes,
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url_match=url_match,
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)
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pipe_names = ["tagger", "parser", "ner"]
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token_match = TOKEN_MATCH
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token_match_with_affixes = TOKEN_MATCH_WITH_AFFIXES
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url_match = URL_MATCH
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prefixes = tuple(TOKENIZER_PREFIXES)
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suffixes = tuple(TOKENIZER_SUFFIXES)
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infixes = tuple(TOKENIZER_INFIXES)
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@ -122,12 +122,12 @@ SUFFIXES = ['"', ":", ">"]
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@pytest.mark.parametrize("url", URLS_SHOULD_MATCH)
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def test_should_match(en_tokenizer, url):
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assert en_tokenizer.token_match_with_affixes(url) is not None
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assert en_tokenizer.url_match(url) is not None
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@pytest.mark.parametrize("url", URLS_SHOULD_NOT_MATCH)
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def test_should_not_match(en_tokenizer, url):
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assert en_tokenizer.token_match_with_affixes(url) is None
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assert en_tokenizer.url_match(url) is None
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@pytest.mark.parametrize("url", URLS_BASIC)
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@ -17,7 +17,7 @@ cdef class Tokenizer:
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cpdef readonly Vocab vocab
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cdef object _token_match
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cdef object _token_match_with_affixes
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cdef object _url_match
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cdef object _prefix_search
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cdef object _suffix_search
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cdef object _infix_finditer
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@ -31,7 +31,7 @@ cdef class Tokenizer:
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"""
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def __init__(self, Vocab vocab, rules=None, prefix_search=None,
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suffix_search=None, infix_finditer=None, token_match=None,
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token_match_with_affixes=None):
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url_match=None):
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"""Create a `Tokenizer`, to create `Doc` objects given unicode text.
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vocab (Vocab): A storage container for lexical types.
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@ -44,7 +44,7 @@ cdef class Tokenizer:
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`re.compile(string).finditer` to find infixes.
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token_match (callable): A boolean function matching strings to be
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recognised as tokens.
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token_match_with_affixes (callable): A boolean function matching strings to be
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url_match (callable): A boolean function matching strings to be
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recognised as tokens after considering prefixes and suffixes.
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RETURNS (Tokenizer): The newly constructed object.
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@ -58,7 +58,7 @@ cdef class Tokenizer:
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self._cache = PreshMap()
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self._specials = PreshMap()
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self.token_match = token_match
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self.token_match_with_affixes = token_match_with_affixes
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self.url_match = url_match
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self.prefix_search = prefix_search
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self.suffix_search = suffix_search
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self.infix_finditer = infix_finditer
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@ -74,12 +74,12 @@ cdef class Tokenizer:
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self._token_match = token_match
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self._flush_cache()
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property token_match_with_affixes:
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property url_match:
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def __get__(self):
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return self._token_match_with_affixes
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return self._url_match
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def __set__(self, token_match_with_affixes):
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self._token_match_with_affixes = token_match_with_affixes
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def __set__(self, url_match):
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self._url_match = url_match
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self._flush_cache()
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property prefix_search:
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@ -125,7 +125,7 @@ cdef class Tokenizer:
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self.suffix_search,
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self.infix_finditer,
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self.token_match,
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self.token_match_with_affixes)
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self.url_match)
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return (self.__class__, args, None, None)
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cpdef Doc tokens_from_list(self, list strings):
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@ -311,8 +311,8 @@ cdef class Tokenizer:
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if cache_hit:
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pass
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elif (self.token_match and self.token_match(string)) or \
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(self.token_match_with_affixes and \
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self.token_match_with_affixes(string)):
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(self.url_match and \
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self.url_match(string)):
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# We're always saying 'no' to spaces here -- the caller will
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# fix up the outermost one, with reference to the original.
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# See Issue #859
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@ -467,9 +467,9 @@ cdef class Tokenizer:
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token_match = self.token_match
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if token_match is None:
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token_match = re.compile("a^").match
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token_match_with_affixes = self.token_match_with_affixes
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if token_match_with_affixes is None:
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token_match_with_affixes = re.compile("a^").match
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url_match = self.url_match
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if url_match is None:
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url_match = re.compile("a^").match
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special_cases = {}
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for orth, special_tokens in self.rules.items():
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special_cases[orth] = [intify_attrs(special_token, strings_map=self.vocab.strings, _do_deprecated=True) for special_token in special_tokens]
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@ -505,8 +505,8 @@ cdef class Tokenizer:
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if token_match(substring):
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tokens.append(("TOKEN_MATCH", substring))
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substring = ''
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elif token_match_with_affixes(substring):
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tokens.append(("TOKEN_MATCH_WITH_AFFIXES", substring))
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elif url_match(substring):
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tokens.append(("URL_MATCH", substring))
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substring = ''
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elif substring in special_cases:
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tokens.extend(("SPECIAL-" + str(i + 1), self.vocab.strings[e[ORTH]]) for i, e in enumerate(special_cases[substring]))
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@ -572,7 +572,7 @@ cdef class Tokenizer:
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("suffix_search", lambda: _get_regex_pattern(self.suffix_search)),
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("infix_finditer", lambda: _get_regex_pattern(self.infix_finditer)),
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("token_match", lambda: _get_regex_pattern(self.token_match)),
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("token_match_with_affixes", lambda: _get_regex_pattern(self.token_match_with_affixes)),
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("url_match", lambda: _get_regex_pattern(self.url_match)),
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("exceptions", lambda: OrderedDict(sorted(self._rules.items())))
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))
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exclude = util.get_serialization_exclude(serializers, exclude, kwargs)
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@ -594,12 +594,12 @@ cdef class Tokenizer:
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("suffix_search", lambda b: data.setdefault("suffix_search", b)),
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("infix_finditer", lambda b: data.setdefault("infix_finditer", b)),
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("token_match", lambda b: data.setdefault("token_match", b)),
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("token_match_with_affixes", lambda b: data.setdefault("token_match_with_affixes", b)),
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("url_match", lambda b: data.setdefault("url_match", b)),
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("exceptions", lambda b: data.setdefault("rules", b))
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))
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exclude = util.get_serialization_exclude(deserializers, exclude, kwargs)
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msg = util.from_bytes(bytes_data, deserializers, exclude)
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for key in ["prefix_search", "suffix_search", "infix_finditer", "token_match", "token_match_with_affixes"]:
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for key in ["prefix_search", "suffix_search", "infix_finditer", "token_match", "url_match"]:
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if key in data:
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data[key] = unescape_unicode(data[key])
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if "prefix_search" in data and isinstance(data["prefix_search"], basestring_):
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@ -610,8 +610,8 @@ cdef class Tokenizer:
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self.infix_finditer = re.compile(data["infix_finditer"]).finditer
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if "token_match" in data and isinstance(data["token_match"], basestring_):
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self.token_match = re.compile(data["token_match"]).match
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if "token_match_with_affixes" in data and isinstance(data["token_match_with_affixes"], basestring_):
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self.token_match_with_affixes = re.compile(data["token_match_with_affixes"]).match
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if "url_match" in data and isinstance(data["url_match"], basestring_):
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self.url_match = re.compile(data["url_match"]).match
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if "rules" in data and isinstance(data["rules"], dict):
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# make sure to hard reset the cache to remove data from the default exceptions
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self._rules = {}
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@ -35,15 +35,15 @@ the
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> ```
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| Name | Type | Description |
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| ---------------- | ----------- | ----------------------------------------------------------------------------------------------------------------------------- |
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| `vocab` | `Vocab` | A storage container for lexical types. |
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| `rules` | dict | Exceptions and special-cases for the tokenizer. |
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| `prefix_search` | callable | A function matching the signature of `re.compile(string).search` to match prefixes. |
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| `suffix_search` | callable | A function matching the signature of `re.compile(string).search` to match suffixes. |
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| `infix_finditer` | callable | A function matching the signature of `re.compile(string).finditer` to find infixes. |
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| ---------------- | ----------- | ------------------------------------------------------------------------------------------------------------------------------ |
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| `vocab` | `Vocab` | A storage container for lexical types. |
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| `rules` | dict | Exceptions and special-cases for the tokenizer. |
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| `prefix_search` | callable | A function matching the signature of `re.compile(string).search` to match prefixes. |
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| `suffix_search` | callable | A function matching the signature of `re.compile(string).search` to match suffixes. |
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| `infix_finditer` | callable | A function matching the signature of `re.compile(string).finditer` to find infixes. |
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| `token_match` | callable | A function matching the signature of `re.compile(string).match` to find token matches. |
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| `token_match_with_affixes` | callable | A function matching the signature of `re.compile(string).match` to find token matches after considering prefixes and suffixes. |
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| **RETURNS** | `Tokenizer` | The newly constructed object. |
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| `url_match` | callable | A function matching the signature of `re.compile(string).match` to find token matches after considering prefixes and suffixes. |
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| **RETURNS** | `Tokenizer` | The newly constructed object. |
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## Tokenizer.\_\_call\_\_ {#call tag="method"}
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@ -759,6 +759,9 @@ def tokenizer_pseudo_code(self, special_cases, prefix_search, suffix_search,
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if token_match(substring):
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tokens.append(substring)
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substring = ''
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elif url_match(substring):
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tokens.append(substring)
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substring = ''
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elif substring in special_cases:
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tokens.extend(special_cases[substring])
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substring = ''
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@ -782,17 +785,19 @@ def tokenizer_pseudo_code(self, special_cases, prefix_search, suffix_search,
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The algorithm can be summarized as follows:
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1. Iterate over whitespace-separated substrings.
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2. Look for a token match. If there is a match, stop processing and keep this token.
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3. Check whether we have an explicitly defined rule for this substring. If we
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do, use it.
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4. Otherwise, try to consume one prefix. If we consumed a prefix, go back to #2,
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so that the token match and special cases always get priority.
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2. Look for a token match. If there is a match, stop processing and keep this
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token.
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3. Check whether we have an explicitly defined special case for this substring.
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If we do, use it.
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4. Otherwise, try to consume one prefix. If we consumed a prefix, go back to
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#2, so that the token match and special cases always get priority.
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5. If we didn't consume a prefix, try to consume a suffix and then go back to
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#2.
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6. If we can't consume a prefix or a suffix, look for a special case.
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7. Look for "infixes" — stuff like hyphens etc. and split the substring into
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6. If we can't consume a prefix or a suffix, look for a URL match.
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7. If there's no URL match, then look for a special case.
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8. Look for "infixes" — stuff like hyphens etc. and split the substring into
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tokens on all infixes.
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8. Once we can't consume any more of the string, handle it as a single token.
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9. Once we can't consume any more of the string, handle it as a single token.
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#### Debugging the tokenizer {#tokenizer-debug new="2.2.3"}
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@ -836,6 +841,8 @@ domain. There are five things you would need to define:
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hyphens etc.
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5. An optional boolean function `token_match` matching strings that should never
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be split, overriding the infix rules. Useful for things like URLs or numbers.
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6. An optional boolean function `url_match`, which is similar to `token_match`
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except prefixes and suffixes are removed before applying the match.
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You shouldn't usually need to create a `Tokenizer` subclass. Standard usage is
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to use `re.compile()` to build a regular expression object, and pass its
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