spaCy/spacy/lang/tokenizer_exceptions.py

# coding: utf8
from __future__ import unicode_literals

# The use of this module turns out to be important, to avoid pathological
# back-tracking. See Issue #957
import regex

from ..symbols import ORTH, POS, LEMMA, SPACE, PUNCT


# URL validation regex courtesy of: https://mathiasbynens.be/demo/url-regex
# A few minor mods to this regex to account for use cases represented in test_urls
_URL_PATTERN = (
    r"^"
    # in order to support the prefix tokenization (see prefix test cases in test_urls).
    r"(?=[\w])"
    # protocol identifier
    r"(?:(?:https?|ftp|mailto)://)?"
    # user:pass authentication
    r"(?:\S+(?::\S*)?@)?"
    r"(?:"
    # IP address exclusion
    # private & local networks
    r"(?!(?:10|127)(?:\.\d{1,3}){3})"
    r"(?!(?:169\.254|192\.168)(?:\.\d{1,3}){2})"
    r"(?!172\.(?:1[6-9]|2\d|3[0-1])(?:\.\d{1,3}){2})"
    # IP address dotted notation octets
    # excludes loopback network 0.0.0.0
    # excludes reserved space >= 224.0.0.0
    # excludes network & broadcast addresses
    # (first & last IP address of each class)
    # MH: Do we really need this? Seems excessive, and seems to have caused
    # Issue #957
    r"(?:[1-9]\d?|1\d\d|2[01]\d|22[0-3])"
    r"(?:\.(?:1?\d{1,2}|2[0-4]\d|25[0-5])){2}"
    r"(?:\.(?:[1-9]\d?|1\d\d|2[0-4]\d|25[0-4]))"
    r"|"
    # host name
    r"(?:(?:[a-z\u00a1-\uffff0-9]-*)*[a-z\u00a1-\uffff0-9]+)"
    # domain name
    r"(?:\.(?:[a-z\u00a1-\uffff0-9]-*)*[a-z\u00a1-\uffff0-9]+)*"
    # TLD identifier
    r"(?:\.(?:[a-z\u00a1-\uffff]{2,}))"
    r")"
    # port number
    r"(?::\d{2,5})?"
    # resource path
    r"(?:/\S*)?"
    # query parameters
    r"\??(:?\S*)?"
    # in order to support the suffix tokenization (see suffix test cases in test_urls),
    r"(?<=[\w/])"
    r"$"
).strip()

TOKEN_MATCH = regex.compile(_URL_PATTERN, regex.UNICODE).match



BASE_EXCEPTIONS = {}


for exc_data in [
    {ORTH: " ", POS: SPACE},
    {ORTH: "\t", POS: SPACE},
    {ORTH: "\\t", POS: SPACE},
    {ORTH: "\n", POS: SPACE},
    {ORTH: "\\n", POS: SPACE},
    {ORTH: "\u2014", POS: PUNCT, LEMMA: "--"},
    {ORTH: "\u00a0", POS: SPACE, LEMMA: "  "}]:
    BASE_EXCEPTIONS[exc_data[ORTH]] = [dict(exc_data)]


for orth in [
    "'", "\\\")", "<space>", "''", "C++", "a.", "b.", "c.", "d.", "e.", "f.",
    "g.", "h.", "i.", "j.", "k.", "l.", "m.", "n.", "o.", "p.", "q.", "r.",
    "s.", "t.", "u.", "v.", "w.", "x.", "y.", "z.", "ä.", "ö.", "ü."]:
    BASE_EXCEPTIONS[orth] = [{ORTH: orth}]


emoticons = set("""
:)
:-)
:))
:-))
:)))
:-)))
(:
(-:
=)
(=
")
:]
:-]
[:
[-:
:o)
(o:
:}
:-}
8)
8-)
(-8
;)
;-)
(;
(-;
:(
:-(
:((
:-((
:(((
:-(((
):
)-:
=(
>:(
:')
:'-)
:'(
:'-(
:/
:-/
=/
=|
:|
:-|
:1
:P
:-P
:p
:-p
:O
:-O
:o
:-o
:0
:-0
:()
>:o
:*
:-*
:3
:-3
=3
:>
:->
:X
:-X
:x
:-x
:D
:-D
;D
;-D
=D
xD
XD
xDD
XDD
8D
8-D

^_^
^__^
^___^
>.<
>.>
<.<
._.
;_;
-_-
-__-
v.v
V.V
v_v
V_V
o_o
o_O
O_o
O_O
0_o
o_0
0_0
o.O
O.o
O.O
o.o
0.0
o.0
0.o
@_@
<3
<33
<333
</3
(^_^)
(-_-)
(._.)
(>_<)
(*_*)
(¬_¬)
ಠ_ಠ
ಠ︵ಠ
(ಠ_ಠ)
¯\(ツ)/¯
(╯°□°）╯︵┻━┻
><(((*>
""".split())


for orth in emoticons:
    BASE_EXCEPTIONS[orth] = [{ORTH: orth}]