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unicode -> str consistency

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This commit is contained in:
Ines Montani 2020-05-24 17:20:58 +02:00
parent cf156ed2f4
commit 5d3806e059
28 changed files with 212 additions and 205 deletions
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8
spacy/cli/converters/conllu2json.py
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@ -111,8 +111,8 @@ def get_entities(lines, tag_pattern, ner_map=None):
final entity type with `ner_map` if mapping present. Entity tag is 'O' if final entity type with `ner_map` if mapping present. Entity tag is 'O' if
the pattern is not matched. the pattern is not matched.
lines (unicode): CONLL-U lines for one sentences lines (str): CONLL-U lines for one sentences
tag_pattern (unicode): Regex pattern for entity tag tag_pattern (str): Regex pattern for entity tag
ner_map (dict): Map old NER tag names to new ones, '' maps to O. ner_map (dict): Map old NER tag names to new ones, '' maps to O.
RETURNS (list): List of BILUO entity tags RETURNS (list): List of BILUO entity tags
""" """
@ -187,8 +187,8 @@ def example_from_conllu_sentence(
"""Create an Example from the lines for one CoNLL-U sentence, merging """Create an Example from the lines for one CoNLL-U sentence, merging
subtokens and appending morphology to tags if required. subtokens and appending morphology to tags if required.
lines (unicode): The non-comment lines for a CoNLL-U sentence lines (str): The non-comment lines for a CoNLL-U sentence
ner_tag_pattern (unicode): The regex pattern for matching NER in MISC col ner_tag_pattern (str): The regex pattern for matching NER in MISC col
RETURNS (Example): An example containing the annotation RETURNS (Example): An example containing the annotation
""" """
# create a Doc with each subtoken as its own token # create a Doc with each subtoken as its own token

8
spacy/displacy/__init__.py
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@ -22,13 +22,13 @@ def render(
"""Render displaCy visualisation. """Render displaCy visualisation.
docs (list or Doc): Document(s) to visualise. docs (list or Doc): Document(s) to visualise.
style (unicode): Visualisation style, 'dep' or 'ent'. style (str): Visualisation style, 'dep' or 'ent'.
page (bool): Render markup as full HTML page. page (bool): Render markup as full HTML page.
minify (bool): Minify HTML markup. minify (bool): Minify HTML markup.
jupyter (bool): Override Jupyter auto-detection. jupyter (bool): Override Jupyter auto-detection.
options (dict): Visualiser-specific options, e.g. colors. options (dict): Visualiser-specific options, e.g. colors.
manual (bool): Don't parse `Doc` and instead expect a dict/list of dicts. manual (bool): Don't parse `Doc` and instead expect a dict/list of dicts.
RETURNS (unicode): Rendered HTML markup. RETURNS (str): Rendered HTML markup.
DOCS: https://spacy.io/api/top-level#displacy.render DOCS: https://spacy.io/api/top-level#displacy.render
USAGE: https://spacy.io/usage/visualizers USAGE: https://spacy.io/usage/visualizers
@ -73,13 +73,13 @@ def serve(
"""Serve displaCy visualisation. """Serve displaCy visualisation.
docs (list or Doc): Document(s) to visualise. docs (list or Doc): Document(s) to visualise.
style (unicode): Visualisation style, 'dep' or 'ent'. style (str): Visualisation style, 'dep' or 'ent'.
page (bool): Render markup as full HTML page. page (bool): Render markup as full HTML page.
minify (bool): Minify HTML markup. minify (bool): Minify HTML markup.
options (dict): Visualiser-specific options, e.g. colors. options (dict): Visualiser-specific options, e.g. colors.
manual (bool): Don't parse `Doc` and instead expect a dict/list of dicts. manual (bool): Don't parse `Doc` and instead expect a dict/list of dicts.
port (int): Port to serve visualisation. port (int): Port to serve visualisation.
host (unicode): Host to serve visualisation. host (str): Host to serve visualisation.
DOCS: https://spacy.io/api/top-level#displacy.serve DOCS: https://spacy.io/api/top-level#displacy.serve
USAGE: https://spacy.io/usage/visualizers USAGE: https://spacy.io/usage/visualizers

26
spacy/displacy/render.py
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@ -47,7 +47,7 @@ class DependencyRenderer(object):
parsed (list): Dependency parses to render. parsed (list): Dependency parses to render.
page (bool): Render parses wrapped as full HTML page. page (bool): Render parses wrapped as full HTML page.
minify (bool): Minify HTML markup. minify (bool): Minify HTML markup.
RETURNS (unicode): Rendered SVG or HTML markup. RETURNS (str): Rendered SVG or HTML markup.
""" """
# Create a random ID prefix to make sure parses don't receive the # Create a random ID prefix to make sure parses don't receive the
# same ID, even if they're identical # same ID, even if they're identical
@ -78,7 +78,7 @@ class DependencyRenderer(object):
render_id (int): Unique ID, typically index of document. render_id (int): Unique ID, typically index of document.
words (list): Individual words and their tags. words (list): Individual words and their tags.
arcs (list): Individual arcs and their start, end, direction and label. arcs (list): Individual arcs and their start, end, direction and label.
RETURNS (unicode): Rendered SVG markup. RETURNS (str): Rendered SVG markup.
""" """
self.levels = self.get_levels(arcs) self.levels = self.get_levels(arcs)
self.highest_level = len(self.levels) self.highest_level = len(self.levels)
@ -112,10 +112,10 @@ class DependencyRenderer(object):
): ):
"""Render individual word. """Render individual word.
text (unicode): Word text. text (str): Word text.
tag (unicode): Part-of-speech tag. tag (str): Part-of-speech tag.
i (int): Unique ID, typically word index. i (int): Unique ID, typically word index.
RETURNS (unicode): Rendered SVG markup. RETURNS (str): Rendered SVG markup.
""" """
y = self.offset_y + self.word_spacing y = self.offset_y + self.word_spacing
x = self.offset_x + i * self.distance x = self.offset_x + i * self.distance
@ -131,12 +131,12 @@ class DependencyRenderer(object):
def render_arrow(self, label, start, end, direction, i): def render_arrow(self, label, start, end, direction, i):
"""Render individual arrow. """Render individual arrow.
label (unicode): Dependency label. label (str): Dependency label.
start (int): Index of start word. start (int): Index of start word.
end (int): Index of end word. end (int): Index of end word.
direction (unicode): Arrow direction, 'left' or 'right'. direction (str): Arrow direction, 'left' or 'right'.
i (int): Unique ID, typically arrow index. i (int): Unique ID, typically arrow index.
RETURNS (unicode): Rendered SVG markup. RETURNS (str): Rendered SVG markup.
""" """
if start < 0 or end < 0: if start < 0 or end < 0:
error_args = dict(start=start, end=end, label=label, dir=direction) error_args = dict(start=start, end=end, label=label, dir=direction)
@ -179,7 +179,7 @@ class DependencyRenderer(object):
y (int): Y-coordinate of arrow start and end point. y (int): Y-coordinate of arrow start and end point.
y_curve (int): Y-corrdinate of Cubic Bézier y_curve point. y_curve (int): Y-corrdinate of Cubic Bézier y_curve point.
x_end (int): X-coordinate of arrow end point. x_end (int): X-coordinate of arrow end point.
RETURNS (unicode): Definition of the arc path ('d' attribute). RETURNS (str): Definition of the arc path ('d' attribute).
""" """
template = "M{x},{y} C{x},{c} {e},{c} {e},{y}" template = "M{x},{y} C{x},{c} {e},{c} {e},{y}"
if self.compact: if self.compact:
@ -189,11 +189,11 @@ class DependencyRenderer(object):
def get_arrowhead(self, direction, x, y, end): def get_arrowhead(self, direction, x, y, end):
"""Render individual arrow head. """Render individual arrow head.
direction (unicode): Arrow direction, 'left' or 'right'. direction (str): Arrow direction, 'left' or 'right'.
x (int): X-coordinate of arrow start point. x (int): X-coordinate of arrow start point.
y (int): Y-coordinate of arrow start and end point. y (int): Y-coordinate of arrow start and end point.
end (int): X-coordinate of arrow end point. end (int): X-coordinate of arrow end point.
RETURNS (unicode): Definition of the arrow head path ('d' attribute). RETURNS (str): Definition of the arrow head path ('d' attribute).
""" """
if direction == "left": if direction == "left":
pos1, pos2, pos3 = (x, x - self.arrow_width + 2, x + self.arrow_width - 2) pos1, pos2, pos3 = (x, x - self.arrow_width + 2, x + self.arrow_width - 2)
@ -279,7 +279,7 @@ class EntityRenderer(object):
parsed (list): Dependency parses to render. parsed (list): Dependency parses to render.
page (bool): Render parses wrapped as full HTML page. page (bool): Render parses wrapped as full HTML page.
minify (bool): Minify HTML markup. minify (bool): Minify HTML markup.
RETURNS (unicode): Rendered HTML markup. RETURNS (str): Rendered HTML markup.
""" """
rendered = [] rendered = []
for i, p in enumerate(parsed): for i, p in enumerate(parsed):
@ -300,7 +300,7 @@ class EntityRenderer(object):
def render_ents(self, text, spans, title): def render_ents(self, text, spans, title):
"""Render entities in text. """Render entities in text.
text (unicode): Original text. text (str): Original text.
spans (list): Individual entity spans and their start, end and label. spans (list): Individual entity spans and their start, end and label.
title (unicode or None): Document title set in Doc.user_data['title']. title (unicode or None): Document title set in Doc.user_data['title'].
""" """

2
spacy/errors.py
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@ -598,7 +598,7 @@ class MatchPatternError(ValueError):
def __init__(self, key, errors): def __init__(self, key, errors):
"""Custom error for validating match patterns. """Custom error for validating match patterns.
key (unicode): The name of the matcher rule. key (str): The name of the matcher rule.
errors (dict): Validation errors (sequence of strings) mapped to pattern errors (dict): Validation errors (sequence of strings) mapped to pattern
ID, i.e. the index of the added pattern. ID, i.e. the index of the added pattern.
""" """

4
spacy/glossary.py
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@ -1,8 +1,8 @@
def explain(term): def explain(term):
"""Get a description for a given POS tag, dependency label or entity type. """Get a description for a given POS tag, dependency label or entity type.
term (unicode): The term to explain. term (str): The term to explain.
RETURNS (unicode): The explanation, or `None` if not found in the glossary. RETURNS (str): The explanation, or `None` if not found in the glossary.
EXAMPLE: EXAMPLE:
>>> spacy.explain(u'NORP') >>> spacy.explain(u'NORP')

4
spacy/kb.pyx
View File

@ -38,7 +38,7 @@ cdef class Candidate:
@property @property
def entity_(self): def entity_(self):
"""RETURNS (unicode): ID/name of this entity in the KB""" """RETURNS (str): ID/name of this entity in the KB"""
return self.kb.vocab.strings[self.entity_hash] return self.kb.vocab.strings[self.entity_hash]
@property @property
@ -48,7 +48,7 @@ cdef class Candidate:
@property @property
def alias_(self): def alias_(self):
"""RETURNS (unicode): ID of the original alias""" """RETURNS (str): ID of the original alias"""
return self.kb.vocab.strings[self.alias_hash] return self.kb.vocab.strings[self.alias_hash]
@property @property

26
spacy/language.py
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@ -122,7 +122,7 @@ class Language(object):
Defaults (class): Settings, data and factory methods for creating the `nlp` Defaults (class): Settings, data and factory methods for creating the `nlp`
object and processing pipeline. object and processing pipeline.
lang (unicode): Two-letter language ID, i.e. ISO code. lang (str): Two-letter language ID, i.e. ISO code.
DOCS: https://spacy.io/api/language DOCS: https://spacy.io/api/language
""" """
@ -287,7 +287,7 @@ class Language(object):
def get_pipe(self, name): def get_pipe(self, name):
"""Get a pipeline component for a given component name. """Get a pipeline component for a given component name.
name (unicode): Name of pipeline component to get. name (str): Name of pipeline component to get.
RETURNS (callable): The pipeline component. RETURNS (callable): The pipeline component.
DOCS: https://spacy.io/api/language#get_pipe DOCS: https://spacy.io/api/language#get_pipe
@ -300,7 +300,7 @@ class Language(object):
def create_pipe(self, name, config=dict()): def create_pipe(self, name, config=dict()):
"""Create a pipeline component from a factory. """Create a pipeline component from a factory.
name (unicode): Factory name to look up in `Language.factories`. name (str): Factory name to look up in `Language.factories`.
config (dict): Configuration parameters to initialise component. config (dict): Configuration parameters to initialise component.
RETURNS (callable): Pipeline component. RETURNS (callable): Pipeline component.
@ -343,12 +343,12 @@ class Language(object):
of before/after/first/last can be set. Default behaviour is "last". of before/after/first/last can be set. Default behaviour is "last".
component (callable): The pipeline component. component (callable): The pipeline component.
name (unicode): Name of pipeline component. Overwrites existing name (str): Name of pipeline component. Overwrites existing
component.name attribute if available. If no name is set and component.name attribute if available. If no name is set and
the component exposes no name attribute, component.__name__ is the component exposes no name attribute, component.__name__ is
used. An error is raised if a name already exists in the pipeline. used. An error is raised if a name already exists in the pipeline.
before (unicode): Component name to insert component directly before. before (str): Component name to insert component directly before.
after (unicode): Component name to insert component directly after. after (str): Component name to insert component directly after.
first (bool): Insert component first / not first in the pipeline. first (bool): Insert component first / not first in the pipeline.
last (bool): Insert component last / not last in the pipeline. last (bool): Insert component last / not last in the pipeline.
@ -389,7 +389,7 @@ class Language(object):
"""Check if a component name is present in the pipeline. Equivalent to """Check if a component name is present in the pipeline. Equivalent to
`name in nlp.pipe_names`. `name in nlp.pipe_names`.
name (unicode): Name of the component. name (str): Name of the component.
RETURNS (bool): Whether a component of the name exists in the pipeline. RETURNS (bool): Whether a component of the name exists in the pipeline.
DOCS: https://spacy.io/api/language#has_pipe DOCS: https://spacy.io/api/language#has_pipe
@ -399,7 +399,7 @@ class Language(object):
def replace_pipe(self, name, component): def replace_pipe(self, name, component):
"""Replace a component in the pipeline. """Replace a component in the pipeline.
name (unicode): Name of the component to replace. name (str): Name of the component to replace.
component (callable): Pipeline component. component (callable): Pipeline component.
DOCS: https://spacy.io/api/language#replace_pipe DOCS: https://spacy.io/api/language#replace_pipe
@ -418,8 +418,8 @@ class Language(object):
def rename_pipe(self, old_name, new_name): def rename_pipe(self, old_name, new_name):
"""Rename a pipeline component. """Rename a pipeline component.
old_name (unicode): Name of the component to rename. old_name (str): Name of the component to rename.
new_name (unicode): New name of the component. new_name (str): New name of the component.
DOCS: https://spacy.io/api/language#rename_pipe DOCS: https://spacy.io/api/language#rename_pipe
""" """
@ -433,7 +433,7 @@ class Language(object):
def remove_pipe(self, name): def remove_pipe(self, name):
"""Remove a component from the pipeline. """Remove a component from the pipeline.
name (unicode): Name of the component to remove. name (str): Name of the component to remove.
RETURNS (tuple): A `(name, component)` tuple of the removed component. RETURNS (tuple): A `(name, component)` tuple of the removed component.
DOCS: https://spacy.io/api/language#remove_pipe DOCS: https://spacy.io/api/language#remove_pipe
@ -450,7 +450,7 @@ class Language(object):
and can contain arbitrary whitespace. Alignment into the original string and can contain arbitrary whitespace. Alignment into the original string
is preserved. is preserved.
text (unicode): The text to be processed. text (str): The text to be processed.
disable (list): Names of the pipeline components to disable. disable (list): Names of the pipeline components to disable.
component_cfg (dict): An optional dictionary with extra keyword arguments component_cfg (dict): An optional dictionary with extra keyword arguments
for specific components. for specific components.
@ -1086,7 +1086,7 @@ class component(object):
): ):
"""Decorate a pipeline component. """Decorate a pipeline component.
name (unicode): Default component and factory name. name (str): Default component and factory name.
assigns (list): Attributes assigned by component, e.g. `["token.pos"]`. assigns (list): Attributes assigned by component, e.g. `["token.pos"]`.
requires (list): Attributes required by component, e.g. `["token.dep"]`. requires (list): Attributes required by component, e.g. `["token.dep"]`.
retokenizes (bool): Whether the component changes the tokenization. retokenizes (bool): Whether the component changes the tokenization.

10
spacy/lemmatizer.py
View File

@ -29,8 +29,8 @@ class Lemmatizer(object):
def __call__(self, string, univ_pos, morphology=None): def __call__(self, string, univ_pos, morphology=None):
"""Lemmatize a string. """Lemmatize a string.
string (unicode): The string to lemmatize, e.g. the token text. string (str): The string to lemmatize, e.g. the token text.
univ_pos (unicode / int): The token's universal part-of-speech tag. univ_pos (str / int): The token's universal part-of-speech tag.
morphology (dict): The token's morphological features following the morphology (dict): The token's morphological features following the
Universal Dependencies scheme. Universal Dependencies scheme.
RETURNS (list): The available lemmas for the string. RETURNS (list): The available lemmas for the string.
@ -69,7 +69,7 @@ class Lemmatizer(object):
Check whether we're dealing with an uninflected paradigm, so we can Check whether we're dealing with an uninflected paradigm, so we can
avoid lemmatization entirely. avoid lemmatization entirely.
univ_pos (unicode / int): The token's universal part-of-speech tag. univ_pos (str / int): The token's universal part-of-speech tag.
morphology (dict): The token's morphological features following the morphology (dict): The token's morphological features following the
Universal Dependencies scheme. Universal Dependencies scheme.
""" """
@ -128,10 +128,10 @@ class Lemmatizer(object):
"""Look up a lemma in the table, if available. If no lemma is found, """Look up a lemma in the table, if available. If no lemma is found,
the original string is returned. the original string is returned.
string (unicode): The original string. string (str): The original string.
orth (int): Optional hash of the string to look up. If not set, the orth (int): Optional hash of the string to look up. If not set, the
string will be used and hashed. string will be used and hashed.
RETURNS (unicode): The lemma if the string was found, otherwise the RETURNS (str): The lemma if the string was found, otherwise the
original string. original string.
""" """
lookup_table = self.lookups.get_table("lemma_lookup", {}) lookup_table = self.lookups.get_table("lemma_lookup", {})

20
spacy/lexeme.pyx
View File

@ -190,7 +190,7 @@ cdef class Lexeme:
self.vocab.set_vector(self.c.orth, vector) self.vocab.set_vector(self.c.orth, vector)
property rank: property rank:
"""RETURNS (unicode): Sequential ID of the lexemes's lexical type, used """RETURNS (str): Sequential ID of the lexemes's lexical type, used
to index into tables, e.g. for word vectors.""" to index into tables, e.g. for word vectors."""
def __get__(self): def __get__(self):
return self.c.id return self.c.id
@ -209,18 +209,18 @@ cdef class Lexeme:
@property @property
def orth_(self): def orth_(self):
"""RETURNS (unicode): The original verbatim text of the lexeme """RETURNS (str): The original verbatim text of the lexeme
(identical to `Lexeme.text`). Exists mostly for consistency with (identical to `Lexeme.text`). Exists mostly for consistency with
the other attributes.""" the other attributes."""
return self.vocab.strings[self.c.orth] return self.vocab.strings[self.c.orth]
@property @property
def text(self): def text(self):
"""RETURNS (unicode): The original verbatim text of the lexeme.""" """RETURNS (str): The original verbatim text of the lexeme."""
return self.orth_ return self.orth_
property lower: property lower:
"""RETURNS (unicode): Lowercase form of the lexeme.""" """RETURNS (str): Lowercase form of the lexeme."""
def __get__(self): def __get__(self):
return self.c.lower return self.c.lower
@ -293,7 +293,7 @@ cdef class Lexeme:
self.c.prob = x self.c.prob = x
property lower_: property lower_:
"""RETURNS (unicode): Lowercase form of the word.""" """RETURNS (str): Lowercase form of the word."""
def __get__(self): def __get__(self):
return self.vocab.strings[self.c.lower] return self.vocab.strings[self.c.lower]
@ -301,7 +301,7 @@ cdef class Lexeme:
self.c.lower = self.vocab.strings.add(x) self.c.lower = self.vocab.strings.add(x)
property norm_: property norm_:
"""RETURNS (unicode): The lexemes's norm, i.e. a normalised form of the """RETURNS (str): The lexemes's norm, i.e. a normalised form of the
lexeme text. lexeme text.
""" """
def __get__(self): def __get__(self):
@ -311,7 +311,7 @@ cdef class Lexeme:
self.c.norm = self.vocab.strings.add(x) self.c.norm = self.vocab.strings.add(x)
property shape_: property shape_:
"""RETURNS (unicode): Transform of the word's string, to show """RETURNS (str): Transform of the word's string, to show
orthographic features. orthographic features.
""" """
def __get__(self): def __get__(self):
@ -321,7 +321,7 @@ cdef class Lexeme:
self.c.shape = self.vocab.strings.add(x) self.c.shape = self.vocab.strings.add(x)
property prefix_: property prefix_:
"""RETURNS (unicode): Length-N substring from the start of the word. """RETURNS (str): Length-N substring from the start of the word.
Defaults to `N=1`. Defaults to `N=1`.
""" """
def __get__(self): def __get__(self):
@ -331,7 +331,7 @@ cdef class Lexeme:
self.c.prefix = self.vocab.strings.add(x) self.c.prefix = self.vocab.strings.add(x)
property suffix_: property suffix_:
"""RETURNS (unicode): Length-N substring from the end of the word. """RETURNS (str): Length-N substring from the end of the word.
Defaults to `N=3`. Defaults to `N=3`.
""" """
def __get__(self): def __get__(self):
@ -341,7 +341,7 @@ cdef class Lexeme:
self.c.suffix = self.vocab.strings.add(x) self.c.suffix = self.vocab.strings.add(x)
property lang_: property lang_:
"""RETURNS (unicode): Language of the parent vocabulary.""" """RETURNS (str): Language of the parent vocabulary."""
def __get__(self): def __get__(self):
return self.vocab.strings[self.c.lang] return self.vocab.strings[self.c.lang]

28
spacy/lookups.py
View File

@ -31,7 +31,7 @@ class Lookups(object):
"""Check if the lookups contain a table of a given name. Delegates to """Check if the lookups contain a table of a given name. Delegates to
Lookups.has_table. Lookups.has_table.
name (unicode): Name of the table. name (str): Name of the table.
RETURNS (bool): Whether a table of that name is in the lookups. RETURNS (bool): Whether a table of that name is in the lookups.
""" """
return self.has_table(name) return self.has_table(name)
@ -48,7 +48,7 @@ class Lookups(object):
def add_table(self, name, data=SimpleFrozenDict()): def add_table(self, name, data=SimpleFrozenDict()):
"""Add a new table to the lookups. Raises an error if the table exists. """Add a new table to the lookups. Raises an error if the table exists.
name (unicode): Unique name of table. name (str): Unique name of table.
data (dict): Optional data to add to the table. data (dict): Optional data to add to the table.
RETURNS (Table): The newly added table. RETURNS (Table): The newly added table.
@ -64,7 +64,7 @@ class Lookups(object):
"""Get a table. Raises an error if the table doesn't exist and no """Get a table. Raises an error if the table doesn't exist and no
default value is provided. default value is provided.
name (unicode): Name of the table. name (str): Name of the table.
default: Optional default value to return if table doesn't exist. default: Optional default value to return if table doesn't exist.
RETURNS (Table): The table. RETURNS (Table): The table.
@ -79,7 +79,7 @@ class Lookups(object):
def remove_table(self, name): def remove_table(self, name):
"""Remove a table. Raises an error if the table doesn't exist. """Remove a table. Raises an error if the table doesn't exist.
name (unicode): Name of the table to remove. name (str): Name of the table to remove.
RETURNS (Table): The removed table. RETURNS (Table): The removed table.
DOCS: https://spacy.io/api/lookups#remove_table DOCS: https://spacy.io/api/lookups#remove_table
@ -91,7 +91,7 @@ class Lookups(object):
def has_table(self, name): def has_table(self, name):
"""Check if the lookups contain a table of a given name. """Check if the lookups contain a table of a given name.
name (unicode): Name of the table. name (str): Name of the table.
RETURNS (bool): Whether a table of that name exists. RETURNS (bool): Whether a table of that name exists.
DOCS: https://spacy.io/api/lookups#has_table DOCS: https://spacy.io/api/lookups#has_table
@ -125,7 +125,7 @@ class Lookups(object):
"""Save the lookups to a directory as lookups.bin. Expects a path to a """Save the lookups to a directory as lookups.bin. Expects a path to a
directory, which will be created if it doesn't exist. directory, which will be created if it doesn't exist.
path (unicode / Path): The file path. path (str / Path): The file path.
DOCS: https://spacy.io/api/lookups#to_disk DOCS: https://spacy.io/api/lookups#to_disk
""" """
@ -141,7 +141,7 @@ class Lookups(object):
"""Load lookups from a directory containing a lookups.bin. Will skip """Load lookups from a directory containing a lookups.bin. Will skip
loading if the file doesn't exist. loading if the file doesn't exist.
path (unicode / Path): The directory path. path (str / Path): The directory path.
RETURNS (Lookups): The loaded lookups. RETURNS (Lookups): The loaded lookups.
DOCS: https://spacy.io/api/lookups#from_disk DOCS: https://spacy.io/api/lookups#from_disk
@ -167,7 +167,7 @@ class Table(OrderedDict):
"""Initialize a new table from a dict. """Initialize a new table from a dict.
data (dict): The dictionary. data (dict): The dictionary.
name (unicode): Optional table name for reference. name (str): Optional table name for reference.
RETURNS (Table): The newly created object. RETURNS (Table): The newly created object.
DOCS: https://spacy.io/api/lookups#table.from_dict DOCS: https://spacy.io/api/lookups#table.from_dict
@ -179,7 +179,7 @@ class Table(OrderedDict):
def __init__(self, name=None, data=None): def __init__(self, name=None, data=None):
"""Initialize a new table. """Initialize a new table.
name (unicode): Optional table name for reference. name (str): Optional table name for reference.
data (dict): Initial data, used to hint Bloom Filter. data (dict): Initial data, used to hint Bloom Filter.
RETURNS (Table): The newly created object. RETURNS (Table): The newly created object.
@ -197,7 +197,7 @@ class Table(OrderedDict):
def __setitem__(self, key, value): def __setitem__(self, key, value):
"""Set new key/value pair. String keys will be hashed. """Set new key/value pair. String keys will be hashed.
key (unicode / int): The key to set. key (str / int): The key to set.
value: The value to set. value: The value to set.
""" """
key = get_string_id(key) key = get_string_id(key)
@ -208,7 +208,7 @@ class Table(OrderedDict):
"""Set new key/value pair. String keys will be hashed. """Set new key/value pair. String keys will be hashed.
Same as table[key] = value. Same as table[key] = value.
key (unicode / int): The key to set. key (str / int): The key to set.
value: The value to set. value: The value to set.
""" """
self[key] = value self[key] = value
@ -216,7 +216,7 @@ class Table(OrderedDict):
def __getitem__(self, key): def __getitem__(self, key):
"""Get the value for a given key. String keys will be hashed. """Get the value for a given key. String keys will be hashed.
key (unicode / int): The key to get. key (str / int): The key to get.
RETURNS: The value. RETURNS: The value.
""" """
key = get_string_id(key) key = get_string_id(key)
@ -225,7 +225,7 @@ class Table(OrderedDict):
def get(self, key, default=None): def get(self, key, default=None):
"""Get the value for a given key. String keys will be hashed. """Get the value for a given key. String keys will be hashed.
key (unicode / int): The key to get. key (str / int): The key to get.
default: The default value to return. default: The default value to return.
RETURNS: The value. RETURNS: The value.
""" """
@ -235,7 +235,7 @@ class Table(OrderedDict):
def __contains__(self, key): def __contains__(self, key):
"""Check whether a key is in the table. String keys will be hashed. """Check whether a key is in the table. String keys will be hashed.
key (unicode / int): The key to check. key (str / int): The key to check.
RETURNS (bool): Whether the key is in the table. RETURNS (bool): Whether the key is in the table.
""" """
key = get_string_id(key) key = get_string_id(key)

2
spacy/matcher/dependencymatcher.pyx
View File

@ -66,7 +66,7 @@ cdef class DependencyMatcher:
def __contains__(self, key): def __contains__(self, key):
"""Check whether the matcher contains rules for a match ID. """Check whether the matcher contains rules for a match ID.
key (unicode): The match ID. key (str): The match ID.
RETURNS (bool): Whether the matcher contains rules for this match ID. RETURNS (bool): Whether the matcher contains rules for this match ID.
""" """
return self._normalize_key(key) in self._patterns return self._normalize_key(key) in self._patterns

6
spacy/matcher/matcher.pyx
View File

@ -63,7 +63,7 @@ cdef class Matcher:
def __contains__(self, key): def __contains__(self, key):
"""Check whether the matcher contains rules for a match ID. """Check whether the matcher contains rules for a match ID.
key (unicode): The match ID. key (str): The match ID.
RETURNS (bool): Whether the matcher contains rules for this match ID. RETURNS (bool): Whether the matcher contains rules for this match ID.
""" """
return self._normalize_key(key) in self._patterns return self._normalize_key(key) in self._patterns
@ -97,7 +97,7 @@ cdef class Matcher:
number of arguments). The on_match callback becomes an optional keyword number of arguments). The on_match callback becomes an optional keyword
argument. argument.
key (unicode): The match ID. key (str): The match ID.
patterns (list): The patterns to add for the given key. patterns (list): The patterns to add for the given key.
on_match (callable): Optional callback executed on match. on_match (callable): Optional callback executed on match.
*_patterns (list): For backwards compatibility: list of patterns to add *_patterns (list): For backwards compatibility: list of patterns to add
@ -138,7 +138,7 @@ cdef class Matcher:
"""Remove a rule from the matcher. A KeyError is raised if the key does """Remove a rule from the matcher. A KeyError is raised if the key does
not exist. not exist.
key (unicode): The ID of the match rule. key (str): The ID of the match rule.
""" """
norm_key = self._normalize_key(key) norm_key = self._normalize_key(key)
if not norm_key in self._patterns: if not norm_key in self._patterns:

6
spacy/matcher/phrasematcher.pyx
View File

@ -70,7 +70,7 @@ cdef class PhraseMatcher:
def __contains__(self, key): def __contains__(self, key):
"""Check whether the matcher contains rules for a match ID. """Check whether the matcher contains rules for a match ID.
key (unicode): The match ID. key (str): The match ID.
RETURNS (bool): Whether the matcher contains rules for this match ID. RETURNS (bool): Whether the matcher contains rules for this match ID.
DOCS: https://spacy.io/api/phrasematcher#contains DOCS: https://spacy.io/api/phrasematcher#contains
@ -85,7 +85,7 @@ cdef class PhraseMatcher:
"""Remove a rule from the matcher by match ID. A KeyError is raised if """Remove a rule from the matcher by match ID. A KeyError is raised if
the key does not exist. the key does not exist.
key (unicode): The match ID. key (str): The match ID.
DOCS: https://spacy.io/api/phrasematcher#remove DOCS: https://spacy.io/api/phrasematcher#remove
""" """
@ -159,7 +159,7 @@ cdef class PhraseMatcher:
number of arguments). The on_match callback becomes an optional keyword number of arguments). The on_match callback becomes an optional keyword
argument. argument.
key (unicode): The match ID. key (str): The match ID.
docs (list): List of `Doc` objects representing match patterns. docs (list): List of `Doc` objects representing match patterns.
on_match (callable): Callback executed on match. on_match (callable): Callback executed on match.
*_docs (Doc): For backwards compatibility: list of patterns to add *_docs (Doc): For backwards compatibility: list of patterns to add

4
spacy/morphology.pyx
View File

@ -198,8 +198,8 @@ cdef class Morphology:
"""Add a special-case rule to the morphological analyser. Tokens whose """Add a special-case rule to the morphological analyser. Tokens whose
tag and orth match the rule will receive the specified properties. tag and orth match the rule will receive the specified properties.
tag (unicode): The part-of-speech tag to key the exception. tag (str): The part-of-speech tag to key the exception.
orth (unicode): The word-form to key the exception. orth (str): The word-form to key the exception.
""" """
attrs = dict(attrs) attrs = dict(attrs)
attrs = _normalize_props(attrs) attrs = _normalize_props(attrs)

6
spacy/pipe_analysis.py
View File

@ -11,7 +11,7 @@ def analyze_pipes(pipeline, name, pipe, index, warn=True):
fulfilled (e.g. if previous components assign the attributes). fulfilled (e.g. if previous components assign the attributes).
pipeline (list): A list of (name, pipe) tuples e.g. nlp.pipeline. pipeline (list): A list of (name, pipe) tuples e.g. nlp.pipeline.
name (unicode): The name of the pipeline component to analyze. name (str): The name of the pipeline component to analyze.
pipe (callable): The pipeline component function to analyze. pipe (callable): The pipeline component function to analyze.
index (int): The index of the component in the pipeline. index (int): The index of the component in the pipeline.
warn (bool): Show user warning if problem is found. warn (bool): Show user warning if problem is found.
@ -125,7 +125,7 @@ def get_assigns_for_attr(pipeline, attr):
"""Get all pipeline components that assign an attr, e.g. "doc.tensor". """Get all pipeline components that assign an attr, e.g. "doc.tensor".
pipeline (list): A list of (name, pipe) tuples e.g. nlp.pipeline. pipeline (list): A list of (name, pipe) tuples e.g. nlp.pipeline.
attr (unicode): The attribute to check. attr (str): The attribute to check.
RETURNS (list): (name, pipeline) tuples of components that assign the attr. RETURNS (list): (name, pipeline) tuples of components that assign the attr.
""" """
return _get_feature_for_attr(pipeline, attr, "assigns") return _get_feature_for_attr(pipeline, attr, "assigns")
@ -135,7 +135,7 @@ def get_requires_for_attr(pipeline, attr):
"""Get all pipeline components that require an attr, e.g. "doc.tensor". """Get all pipeline components that require an attr, e.g. "doc.tensor".
pipeline (list): A list of (name, pipe) tuples e.g. nlp.pipeline. pipeline (list): A list of (name, pipe) tuples e.g. nlp.pipeline.
attr (unicode): The attribute to check. attr (str): The attribute to check.
RETURNS (list): (name, pipeline) tuples of components that require the attr. RETURNS (list): (name, pipeline) tuples of components that require the attr.
""" """
return _get_feature_for_attr(pipeline, attr, "requires") return _get_feature_for_attr(pipeline, attr, "requires")

4
spacy/pipeline/entityruler.py
View File

@ -315,7 +315,7 @@ class EntityRuler(object):
"""Load the entity ruler from a file. Expects a file containing """Load the entity ruler from a file. Expects a file containing
newline-delimited JSON (JSONL) with one entry per line. newline-delimited JSON (JSONL) with one entry per line.
path (unicode / Path): The JSONL file to load. path (str / Path): The JSONL file to load.
**kwargs: Other config paramters, mostly for consistency. **kwargs: Other config paramters, mostly for consistency.
RETURNS (EntityRuler): The loaded entity ruler. RETURNS (EntityRuler): The loaded entity ruler.
@ -351,7 +351,7 @@ class EntityRuler(object):
"""Save the entity ruler patterns to a directory. The patterns will be """Save the entity ruler patterns to a directory. The patterns will be
saved as newline-delimited JSON (JSONL). saved as newline-delimited JSON (JSONL).
path (unicode / Path): The JSONL file to save. path (str / Path): The JSONL file to save.
**kwargs: Other config paramters, mostly for consistency. **kwargs: Other config paramters, mostly for consistency.
DOCS: https://spacy.io/api/entityruler#to_disk DOCS: https://spacy.io/api/entityruler#to_disk

2
spacy/pipeline/functions.py
View File

@ -50,7 +50,7 @@ def merge_subtokens(doc, label="subtok"):
"""Merge subtokens into a single token. """Merge subtokens into a single token.
doc (Doc): The Doc object. doc (Doc): The Doc object.
label (unicode): The subtoken dependency label. label (str): The subtoken dependency label.
RETURNS (Doc): The Doc object with merged subtokens. RETURNS (Doc): The Doc object with merged subtokens.
DOCS: https://spacy.io/api/pipeline-functions#merge_subtokens DOCS: https://spacy.io/api/pipeline-functions#merge_subtokens

6
spacy/strings.pyx
View File

@ -152,7 +152,7 @@ cdef class StringStore:
def add(self, string): def add(self, string):
"""Add a string to the StringStore. """Add a string to the StringStore.
string (unicode): The string to add. string (str): The string to add.
RETURNS (uint64): The string's hash value. RETURNS (uint64): The string's hash value.
""" """
if isinstance(string, unicode): if isinstance(string, unicode):
@ -179,7 +179,7 @@ cdef class StringStore:
def __contains__(self, string not None): def __contains__(self, string not None):
"""Check whether a string is in the store. """Check whether a string is in the store.
string (unicode): The string to check. string (str): The string to check.
RETURNS (bool): Whether the store contains the string. RETURNS (bool): Whether the store contains the string.
""" """
cdef hash_t key cdef hash_t key
@ -205,7 +205,7 @@ cdef class StringStore:
def __iter__(self): def __iter__(self):
"""Iterate over the strings in the store, in order. """Iterate over the strings in the store, in order.
YIELDS (unicode): A string in the store. YIELDS (str): A string in the store.
""" """
cdef int i cdef int i
cdef hash_t key cdef hash_t key

16
spacy/tokenizer.pyx
View File

@ -134,7 +134,7 @@ cdef class Tokenizer:
def __call__(self, unicode string): def __call__(self, unicode string):
"""Tokenize a string. """Tokenize a string.
string (unicode): The string to tokenize. string (str): The string to tokenize.
RETURNS (Doc): A container for linguistic annotations. RETURNS (Doc): A container for linguistic annotations.
DOCS: https://spacy.io/api/tokenizer#call DOCS: https://spacy.io/api/tokenizer#call
@ -147,7 +147,7 @@ cdef class Tokenizer:
cdef Doc _tokenize_affixes(self, unicode string, bint with_special_cases): cdef Doc _tokenize_affixes(self, unicode string, bint with_special_cases):
"""Tokenize according to affix and token_match settings. """Tokenize according to affix and token_match settings.
string (unicode): The string to tokenize. string (str): The string to tokenize.
RETURNS (Doc): A container for linguistic annotations. RETURNS (Doc): A container for linguistic annotations.
""" """
if len(string) >= (2 ** 30): if len(string) >= (2 ** 30):
@ -527,7 +527,7 @@ cdef class Tokenizer:
def find_infix(self, unicode string): def find_infix(self, unicode string):
"""Find internal split points of the string, such as hyphens. """Find internal split points of the string, such as hyphens.
string (unicode): The string to segment. string (str): The string to segment.
RETURNS (list): A list of `re.MatchObject` objects that have `.start()` RETURNS (list): A list of `re.MatchObject` objects that have `.start()`
and `.end()` methods, denoting the placement of internal segment and `.end()` methods, denoting the placement of internal segment
separators, e.g. hyphens. separators, e.g. hyphens.
@ -542,7 +542,7 @@ cdef class Tokenizer:
"""Find the length of a prefix that should be segmented from the """Find the length of a prefix that should be segmented from the
string, or None if no prefix rules match. string, or None if no prefix rules match.
string (unicode): The string to segment. string (str): The string to segment.
RETURNS (int): The length of the prefix if present, otherwise `None`. RETURNS (int): The length of the prefix if present, otherwise `None`.
DOCS: https://spacy.io/api/tokenizer#find_prefix DOCS: https://spacy.io/api/tokenizer#find_prefix
@ -556,7 +556,7 @@ cdef class Tokenizer:
"""Find the length of a suffix that should be segmented from the """Find the length of a suffix that should be segmented from the
string, or None if no suffix rules match. string, or None if no suffix rules match.
string (unicode): The string to segment. string (str): The string to segment.
Returns (int): The length of the suffix if present, otherwise `None`. Returns (int): The length of the suffix if present, otherwise `None`.
DOCS: https://spacy.io/api/tokenizer#find_suffix DOCS: https://spacy.io/api/tokenizer#find_suffix
@ -576,7 +576,7 @@ cdef class Tokenizer:
def _validate_special_case(self, chunk, substrings): def _validate_special_case(self, chunk, substrings):
"""Check whether the `ORTH` fields match the string. """Check whether the `ORTH` fields match the string.
string (unicode): The string to specially tokenize. string (str): The string to specially tokenize.
substrings (iterable): A sequence of dicts, where each dict describes substrings (iterable): A sequence of dicts, where each dict describes
a token and its attributes. a token and its attributes.
""" """
@ -588,7 +588,7 @@ cdef class Tokenizer:
def add_special_case(self, unicode string, substrings): def add_special_case(self, unicode string, substrings):
"""Add a special-case tokenization rule. """Add a special-case tokenization rule.
string (unicode): The string to specially tokenize. string (str): The string to specially tokenize.
substrings (iterable): A sequence of dicts, where each dict describes substrings (iterable): A sequence of dicts, where each dict describes
a token and its attributes. The `ORTH` fields of the attributes a token and its attributes. The `ORTH` fields of the attributes
must exactly match the string when they are concatenated. must exactly match the string when they are concatenated.
@ -629,7 +629,7 @@ cdef class Tokenizer:
produced are identical to `nlp.tokenizer()` except for whitespace produced are identical to `nlp.tokenizer()` except for whitespace
tokens. tokens.
string (unicode): The string to tokenize. string (str): The string to tokenize.
RETURNS (list): A list of (pattern_string, token_string) tuples RETURNS (list): A list of (pattern_string, token_string) tuples
DOCS: https://spacy.io/api/tokenizer#explain DOCS: https://spacy.io/api/tokenizer#explain

14
spacy/tokens/doc.pyx
View File

@ -107,7 +107,7 @@ cdef class Doc:
def set_extension(cls, name, **kwargs): def set_extension(cls, name, **kwargs):
"""Define a custom attribute which becomes available as `Doc._`. """Define a custom attribute which becomes available as `Doc._`.
name (unicode): Name of the attribute to set. name (str): Name of the attribute to set.
default: Optional default value of the attribute. default: Optional default value of the attribute.
getter (callable): Optional getter function. getter (callable): Optional getter function.
setter (callable): Optional setter function. setter (callable): Optional setter function.
@ -125,7 +125,7 @@ cdef class Doc:
def get_extension(cls, name): def get_extension(cls, name):
"""Look up a previously registered extension by name. """Look up a previously registered extension by name.
name (unicode): Name of the extension. name (str): Name of the extension.
RETURNS (tuple): A `(default, method, getter, setter)` tuple. RETURNS (tuple): A `(default, method, getter, setter)` tuple.
DOCS: https://spacy.io/api/doc#get_extension DOCS: https://spacy.io/api/doc#get_extension
@ -136,7 +136,7 @@ cdef class Doc:
def has_extension(cls, name): def has_extension(cls, name):
"""Check whether an extension has been registered. """Check whether an extension has been registered.
name (unicode): Name of the extension. name (str): Name of the extension.
RETURNS (bool): Whether the extension has been registered. RETURNS (bool): Whether the extension has been registered.
DOCS: https://spacy.io/api/doc#has_extension DOCS: https://spacy.io/api/doc#has_extension
@ -147,7 +147,7 @@ cdef class Doc:
def remove_extension(cls, name): def remove_extension(cls, name):
"""Remove a previously registered extension. """Remove a previously registered extension.
name (unicode): Name of the extension. name (str): Name of the extension.
RETURNS (tuple): A `(default, method, getter, setter)` tuple of the RETURNS (tuple): A `(default, method, getter, setter)` tuple of the
removed extension. removed extension.
@ -473,7 +473,7 @@ cdef class Doc:
def text(self): def text(self):
"""A unicode representation of the document text. """A unicode representation of the document text.
RETURNS (unicode): The original verbatim text of the document. RETURNS (str): The original verbatim text of the document.
""" """
return "".join(t.text_with_ws for t in self) return "".join(t.text_with_ws for t in self)
@ -482,7 +482,7 @@ cdef class Doc:
"""An alias of `Doc.text`, provided for duck-type compatibility with """An alias of `Doc.text`, provided for duck-type compatibility with
`Span` and `Token`. `Span` and `Token`.
RETURNS (unicode): The original verbatim text of the document. RETURNS (str): The original verbatim text of the document.
""" """
return self.text return self.text
@ -628,7 +628,7 @@ cdef class Doc:
@property @property
def lang_(self): def lang_(self):
"""RETURNS (unicode): Language of the doc's vocabulary, e.g. 'en'.""" """RETURNS (str): Language of the doc's vocabulary, e.g. 'en'."""
return self.vocab.lang return self.vocab.lang
cdef int push_back(self, LexemeOrToken lex_or_tok, bint has_space) except -1: cdef int push_back(self, LexemeOrToken lex_or_tok, bint has_space) except -1:

22
spacy/tokens/span.pyx
View File

@ -33,7 +33,7 @@ cdef class Span:
def set_extension(cls, name, **kwargs): def set_extension(cls, name, **kwargs):
"""Define a custom attribute which becomes available as `Span._`. """Define a custom attribute which becomes available as `Span._`.
name (unicode): Name of the attribute to set. name (str): Name of the attribute to set.
default: Optional default value of the attribute. default: Optional default value of the attribute.
getter (callable): Optional getter function. getter (callable): Optional getter function.
setter (callable): Optional setter function. setter (callable): Optional setter function.
@ -51,7 +51,7 @@ cdef class Span:
def get_extension(cls, name): def get_extension(cls, name):
"""Look up a previously registered extension by name. """Look up a previously registered extension by name.
name (unicode): Name of the extension. name (str): Name of the extension.
RETURNS (tuple): A `(default, method, getter, setter)` tuple. RETURNS (tuple): A `(default, method, getter, setter)` tuple.
DOCS: https://spacy.io/api/span#get_extension DOCS: https://spacy.io/api/span#get_extension
@ -62,7 +62,7 @@ cdef class Span:
def has_extension(cls, name): def has_extension(cls, name):
"""Check whether an extension has been registered. """Check whether an extension has been registered.
name (unicode): Name of the extension. name (str): Name of the extension.
RETURNS (bool): Whether the extension has been registered. RETURNS (bool): Whether the extension has been registered.
DOCS: https://spacy.io/api/span#has_extension DOCS: https://spacy.io/api/span#has_extension
@ -73,7 +73,7 @@ cdef class Span:
def remove_extension(cls, name): def remove_extension(cls, name):
"""Remove a previously registered extension. """Remove a previously registered extension.
name (unicode): Name of the extension. name (str): Name of the extension.
RETURNS (tuple): A `(default, method, getter, setter)` tuple of the RETURNS (tuple): A `(default, method, getter, setter)` tuple of the
removed extension. removed extension.
@ -501,7 +501,7 @@ cdef class Span:
@property @property
def text(self): def text(self):
"""RETURNS (unicode): The original verbatim text of the span.""" """RETURNS (str): The original verbatim text of the span."""
text = self.text_with_ws text = self.text_with_ws
if self[-1].whitespace_: if self[-1].whitespace_:
text = text[:-1] text = text[:-1]
@ -512,7 +512,7 @@ cdef class Span:
"""The text content of the span with a trailing whitespace character if """The text content of the span with a trailing whitespace character if
the last token has one. the last token has one.
RETURNS (unicode): The text content of the span (with trailing RETURNS (str): The text content of the span (with trailing
whitespace). whitespace).
""" """
return "".join([t.text_with_ws for t in self]) return "".join([t.text_with_ws for t in self])
@ -688,7 +688,7 @@ cdef class Span:
raise NotImplementedError(TempErrors.T007.format(attr="ent_id")) raise NotImplementedError(TempErrors.T007.format(attr="ent_id"))
property ent_id_: property ent_id_:
"""RETURNS (unicode): The (string) entity ID.""" """RETURNS (str): The (string) entity ID."""
def __get__(self): def __get__(self):
return self.root.ent_id_ return self.root.ent_id_
@ -700,12 +700,12 @@ cdef class Span:
"""Verbatim text content (identical to `Span.text`). Exists mostly for """Verbatim text content (identical to `Span.text`). Exists mostly for
consistency with other attributes. consistency with other attributes.
RETURNS (unicode): The span's text.""" RETURNS (str): The span's text."""
return self.text return self.text
@property @property
def lemma_(self): def lemma_(self):
"""RETURNS (unicode): The span's lemma.""" """RETURNS (str): The span's lemma."""
return " ".join([t.lemma_ for t in self]).strip() return " ".join([t.lemma_ for t in self]).strip()
@property @property
@ -724,7 +724,7 @@ cdef class Span:
return "".join([t.text_with_ws for t in self]) return "".join([t.text_with_ws for t in self])
property label_: property label_:
"""RETURNS (unicode): The span's label.""" """RETURNS (str): The span's label."""
def __get__(self): def __get__(self):
return self.doc.vocab.strings[self.label] return self.doc.vocab.strings[self.label]
@ -734,7 +734,7 @@ cdef class Span:
raise NotImplementedError(Errors.E129.format(start=self.start, end=self.end, label=label_)) raise NotImplementedError(Errors.E129.format(start=self.start, end=self.end, label=label_))
property kb_id_: property kb_id_:
"""RETURNS (unicode): The named entity's KB ID.""" """RETURNS (str): The named entity's KB ID."""
def __get__(self): def __get__(self):
return self.doc.vocab.strings[self.kb_id] return self.doc.vocab.strings[self.kb_id]

44
spacy/tokens/token.pyx
View File

@ -36,7 +36,7 @@ cdef class Token:
def set_extension(cls, name, **kwargs): def set_extension(cls, name, **kwargs):
"""Define a custom attribute which becomes available as `Token._`. """Define a custom attribute which becomes available as `Token._`.
name (unicode): Name of the attribute to set. name (str): Name of the attribute to set.
default: Optional default value of the attribute. default: Optional default value of the attribute.
getter (callable): Optional getter function. getter (callable): Optional getter function.
setter (callable): Optional setter function. setter (callable): Optional setter function.
@ -54,7 +54,7 @@ cdef class Token:
def get_extension(cls, name): def get_extension(cls, name):
"""Look up a previously registered extension by name. """Look up a previously registered extension by name.
name (unicode): Name of the extension. name (str): Name of the extension.
RETURNS (tuple): A `(default, method, getter, setter)` tuple. RETURNS (tuple): A `(default, method, getter, setter)` tuple.
DOCS: https://spacy.io/api/token#get_extension DOCS: https://spacy.io/api/token#get_extension
@ -65,7 +65,7 @@ cdef class Token:
def has_extension(cls, name): def has_extension(cls, name):
"""Check whether an extension has been registered. """Check whether an extension has been registered.
name (unicode): Name of the extension. name (str): Name of the extension.
RETURNS (bool): Whether the extension has been registered. RETURNS (bool): Whether the extension has been registered.
DOCS: https://spacy.io/api/token#has_extension DOCS: https://spacy.io/api/token#has_extension
@ -76,7 +76,7 @@ cdef class Token:
def remove_extension(cls, name): def remove_extension(cls, name):
"""Remove a previously registered extension. """Remove a previously registered extension.
name (unicode): Name of the extension. name (str): Name of the extension.
RETURNS (tuple): A `(default, method, getter, setter)` tuple of the RETURNS (tuple): A `(default, method, getter, setter)` tuple of the
removed extension. removed extension.
@ -244,12 +244,12 @@ cdef class Token:
@property @property
def text(self): def text(self):
"""RETURNS (unicode): The original verbatim text of the token.""" """RETURNS (str): The original verbatim text of the token."""
return self.orth_ return self.orth_
@property @property
def text_with_ws(self): def text_with_ws(self):
"""RETURNS (unicode): The text content of the span (with trailing """RETURNS (str): The text content of the span (with trailing
whitespace). whitespace).
""" """
cdef unicode orth = self.vocab.strings[self.c.lex.orth] cdef unicode orth = self.vocab.strings[self.c.lex.orth]
@ -740,7 +740,7 @@ cdef class Token:
self.c.ent_type = ent_type self.c.ent_type = ent_type
property ent_type_: property ent_type_:
"""RETURNS (unicode): Named entity type.""" """RETURNS (str): Named entity type."""
def __get__(self): def __get__(self):
return self.vocab.strings[self.c.ent_type] return self.vocab.strings[self.c.ent_type]
@ -763,7 +763,7 @@ cdef class Token:
and "" means no entity tag is set. "B" with an empty ent_type and "" means no entity tag is set. "B" with an empty ent_type
means that the token is blocked from further processing by NER. means that the token is blocked from further processing by NER.
RETURNS (unicode): IOB code of named entity tag. RETURNS (str): IOB code of named entity tag.
""" """
iob_strings = ("", "I", "O", "B") iob_strings = ("", "I", "O", "B")
return iob_strings[self.c.ent_iob] return iob_strings[self.c.ent_iob]
@ -779,7 +779,7 @@ cdef class Token:
self.c.ent_id = key self.c.ent_id = key
property ent_id_: property ent_id_:
"""RETURNS (unicode): ID of the entity the token is an instance of, """RETURNS (str): ID of the entity the token is an instance of,
if any. if any.
""" """
def __get__(self): def __get__(self):
@ -797,7 +797,7 @@ cdef class Token:
self.c.ent_kb_id = ent_kb_id self.c.ent_kb_id = ent_kb_id
property ent_kb_id_: property ent_kb_id_:
"""RETURNS (unicode): Named entity KB ID.""" """RETURNS (str): Named entity KB ID."""
def __get__(self): def __get__(self):
return self.vocab.strings[self.c.ent_kb_id] return self.vocab.strings[self.c.ent_kb_id]
@ -806,12 +806,12 @@ cdef class Token:
@property @property
def whitespace_(self): def whitespace_(self):
"""RETURNS (unicode): The trailing whitespace character, if present.""" """RETURNS (str): The trailing whitespace character, if present."""
return " " if self.c.spacy else "" return " " if self.c.spacy else ""
@property @property
def orth_(self): def orth_(self):
"""RETURNS (unicode): Verbatim text content (identical to """RETURNS (str): Verbatim text content (identical to
`Token.text`). Exists mostly for consistency with the other `Token.text`). Exists mostly for consistency with the other
attributes. attributes.
""" """
@ -819,13 +819,13 @@ cdef class Token:
@property @property
def lower_(self): def lower_(self):
"""RETURNS (unicode): The lowercase token text. Equivalent to """RETURNS (str): The lowercase token text. Equivalent to
`Token.text.lower()`. `Token.text.lower()`.
""" """
return self.vocab.strings[self.c.lex.lower] return self.vocab.strings[self.c.lex.lower]
property norm_: property norm_:
"""RETURNS (unicode): The token's norm, i.e. a normalised form of the """RETURNS (str): The token's norm, i.e. a normalised form of the
token text. Usually set in the language's tokenizer exceptions or token text. Usually set in the language's tokenizer exceptions or
norm exceptions. norm exceptions.
""" """
@ -837,34 +837,34 @@ cdef class Token:
@property @property
def shape_(self): def shape_(self):
"""RETURNS (unicode): Transform of the tokens's string, to show """RETURNS (str): Transform of the tokens's string, to show
orthographic features. For example, "Xxxx" or "dd". orthographic features. For example, "Xxxx" or "dd".
""" """
return self.vocab.strings[self.c.lex.shape] return self.vocab.strings[self.c.lex.shape]
@property @property
def prefix_(self): def prefix_(self):
"""RETURNS (unicode): A length-N substring from the start of the token. """RETURNS (str): A length-N substring from the start of the token.
Defaults to `N=1`. Defaults to `N=1`.
""" """
return self.vocab.strings[self.c.lex.prefix] return self.vocab.strings[self.c.lex.prefix]
@property @property
def suffix_(self): def suffix_(self):
"""RETURNS (unicode): A length-N substring from the end of the token. """RETURNS (str): A length-N substring from the end of the token.
Defaults to `N=3`. Defaults to `N=3`.
""" """
return self.vocab.strings[self.c.lex.suffix] return self.vocab.strings[self.c.lex.suffix]
@property @property
def lang_(self): def lang_(self):
"""RETURNS (unicode): Language of the parent document's vocabulary, """RETURNS (str): Language of the parent document's vocabulary,
e.g. 'en'. e.g. 'en'.
""" """
return self.vocab.strings[self.c.lex.lang] return self.vocab.strings[self.c.lex.lang]
property lemma_: property lemma_:
"""RETURNS (unicode): The token lemma, i.e. the base form of the word, """RETURNS (str): The token lemma, i.e. the base form of the word,
with no inflectional suffixes. with no inflectional suffixes.
""" """
def __get__(self): def __get__(self):
@ -877,7 +877,7 @@ cdef class Token:
self.c.lemma = self.vocab.strings.add(lemma_) self.c.lemma = self.vocab.strings.add(lemma_)
property pos_: property pos_:
"""RETURNS (unicode): Coarse-grained part-of-speech tag.""" """RETURNS (str): Coarse-grained part-of-speech tag."""
def __get__(self): def __get__(self):
return parts_of_speech.NAMES[self.c.pos] return parts_of_speech.NAMES[self.c.pos]
@ -885,7 +885,7 @@ cdef class Token:
self.c.pos = parts_of_speech.IDS[pos_name] self.c.pos = parts_of_speech.IDS[pos_name]
property tag_: property tag_:
"""RETURNS (unicode): Fine-grained part-of-speech tag.""" """RETURNS (str): Fine-grained part-of-speech tag."""
def __get__(self): def __get__(self):
return self.vocab.strings[self.c.tag] return self.vocab.strings[self.c.tag]
@ -893,7 +893,7 @@ cdef class Token:
self.tag = self.vocab.strings.add(tag) self.tag = self.vocab.strings.add(tag)
property dep_: property dep_:
"""RETURNS (unicode): The syntactic dependency label.""" """RETURNS (str): The syntactic dependency label."""
def __get__(self): def __get__(self):
return self.vocab.strings[self.c.dep] return self.vocab.strings[self.c.dep]

36
spacy/util.py
View File

@ -58,7 +58,7 @@ def lang_class_is_loaded(lang):
loaded lazily, to avoid expensive setup code associated with the language loaded lazily, to avoid expensive setup code associated with the language
data. data.
lang (unicode): Two-letter language code, e.g. 'en'. lang (str): Two-letter language code, e.g. 'en'.
RETURNS (bool): Whether a Language class has been loaded. RETURNS (bool): Whether a Language class has been loaded.
""" """
return lang in registry.languages return lang in registry.languages
@ -67,7 +67,7 @@ def lang_class_is_loaded(lang):
def get_lang_class(lang): def get_lang_class(lang):
"""Import and load a Language class. """Import and load a Language class.
lang (unicode): Two-letter language code, e.g. 'en'. lang (str): Two-letter language code, e.g. 'en'.
RETURNS (Language): Language class. RETURNS (Language): Language class.
""" """
# Check if language is registered / entry point is available # Check if language is registered / entry point is available
@ -85,7 +85,7 @@ def get_lang_class(lang):
def set_lang_class(name, cls): def set_lang_class(name, cls):
"""Set a custom Language class name that can be loaded via get_lang_class. """Set a custom Language class name that can be loaded via get_lang_class.
name (unicode): Name of Language class. name (str): Name of Language class.
cls (Language): Language class. cls (Language): Language class.
""" """
registry.languages.register(name, func=cls) registry.languages.register(name, func=cls)
@ -107,7 +107,7 @@ def load_language_data(path):
"""Load JSON language data using the given path as a base. If the provided """Load JSON language data using the given path as a base. If the provided
path isn't present, will attempt to load a gzipped version before giving up. path isn't present, will attempt to load a gzipped version before giving up.
path (unicode / Path): The data to load. path (str / Path): The data to load.
RETURNS: The loaded data. RETURNS: The loaded data.
""" """
path = ensure_path(path) path = ensure_path(path)
@ -128,7 +128,7 @@ def get_module_path(module):
def load_model(name, **overrides): def load_model(name, **overrides):
"""Load a model from a package or data path. """Load a model from a package or data path.
name (unicode): Package name or model path. name (str): Package name or model path.
**overrides: Specific overrides, like pipeline components to disable. **overrides: Specific overrides, like pipeline components to disable.
RETURNS (Language): `Language` class with the loaded model. RETURNS (Language): `Language` class with the loaded model.
""" """
@ -202,7 +202,7 @@ def load_model_from_init_py(init_file, **overrides):
"""Helper function to use in the `load()` method of a model package's """Helper function to use in the `load()` method of a model package's
__init__.py. __init__.py.
init_file (unicode): Path to model's __init__.py, i.e. `__file__`. init_file (str): Path to model's __init__.py, i.e. `__file__`.
**overrides: Specific overrides, like pipeline components to disable. **overrides: Specific overrides, like pipeline components to disable.
RETURNS (Language): `Language` class with loaded model. RETURNS (Language): `Language` class with loaded model.
""" """
@ -227,8 +227,8 @@ def get_package_version(name):
"""Get the version of an installed package. Typically used to get model """Get the version of an installed package. Typically used to get model
package versions. package versions.
name (unicode): The name of the installed Python package. name (str): The name of the installed Python package.
RETURNS (unicode / None): The version or None if package not installed. RETURNS (str / None): The version or None if package not installed.
""" """
try: try:
return importlib_metadata.version(name) return importlib_metadata.version(name)
@ -338,7 +338,7 @@ def get_model_config(path):
def is_package(name): def is_package(name):
"""Check if string maps to a package installed via pip. """Check if string maps to a package installed via pip.
name (unicode): Name of package. name (str): Name of package.
RETURNS (bool): True if installed package, False if not. RETURNS (bool): True if installed package, False if not.
""" """
try: try:
@ -351,7 +351,7 @@ def is_package(name):
def get_package_path(name): def get_package_path(name):
"""Get the path to an installed package. """Get the path to an installed package.
name (unicode): Package name. name (str): Package name.
RETURNS (Path): Path to installed package. RETURNS (Path): Path to installed package.
""" """
name = name.lower() # use lowercase version to be safe name = name.lower() # use lowercase version to be safe
@ -526,8 +526,8 @@ def expand_exc(excs, search, replace):
For example, to add additional versions with typographic apostrophes. For example, to add additional versions with typographic apostrophes.
excs (dict): Tokenizer exceptions. excs (dict): Tokenizer exceptions.
search (unicode): String to find and replace. search (str): String to find and replace.
replace (unicode): Replacement. replace (str): Replacement.
RETURNS (dict): Combined tokenizer exceptions. RETURNS (dict): Combined tokenizer exceptions.
""" """
@ -761,8 +761,8 @@ def from_disk(path, readers, exclude):
def import_file(name, loc): def import_file(name, loc):
"""Import module from a file. Used to load models from a directory. """Import module from a file. Used to load models from a directory.
name (unicode): Name of module to load. name (str): Name of module to load.
loc (unicode / Path): Path to the file. loc (str / Path): Path to the file.
RETURNS: The loaded module. RETURNS: The loaded module.
""" """
loc = str(loc) loc = str(loc)
@ -777,8 +777,8 @@ def minify_html(html):
Disclaimer: NOT a general-purpose solution, only removes indentation and Disclaimer: NOT a general-purpose solution, only removes indentation and
newlines. newlines.
html (unicode): Markup to minify. html (str): Markup to minify.
RETURNS (unicode): "Minified" HTML. RETURNS (str): "Minified" HTML.
""" """
return html.strip().replace(" ", "").replace("\n", "") return html.strip().replace(" ", "").replace("\n", "")
@ -787,8 +787,8 @@ def escape_html(text):
"""Replace <, >, &, " with their HTML encoded representation. Intended to """Replace <, >, &, " with their HTML encoded representation. Intended to
prevent HTML errors in rendered displaCy markup. prevent HTML errors in rendered displaCy markup.
text (unicode): The original text. text (str): The original text.
RETURNS (unicode): Equivalent text to be safely used within HTML. RETURNS (str): Equivalent text to be safely used within HTML.
""" """
text = text.replace("&", "&amp;") text = text.replace("&", "&amp;")
text = text.replace("<", "&lt;") text = text.replace("<", "&lt;")

8
spacy/vectors.pyx
View File

@ -57,7 +57,7 @@ cdef class Vectors:
shape (tuple): Size of the table, as (# entries, # columns) shape (tuple): Size of the table, as (# entries, # columns)
data (numpy.ndarray): The vector data. data (numpy.ndarray): The vector data.
keys (iterable): A sequence of keys, aligned with the data. keys (iterable): A sequence of keys, aligned with the data.
name (unicode): A name to identify the vectors table. name (str): A name to identify the vectors table.
RETURNS (Vectors): The newly created object. RETURNS (Vectors): The newly created object.
DOCS: https://spacy.io/api/vectors#init DOCS: https://spacy.io/api/vectors#init
@ -237,7 +237,7 @@ cdef class Vectors:
def find(self, *, key=None, keys=None, row=None, rows=None): def find(self, *, key=None, keys=None, row=None, rows=None):
"""Look up one or more keys by row, or vice versa. """Look up one or more keys by row, or vice versa.
key (unicode / int): Find the row that the given key points to. key (str / int): Find the row that the given key points to.
Returns int, -1 if missing. Returns int, -1 if missing.
keys (iterable): Find rows that the keys point to. keys (iterable): Find rows that the keys point to.
Returns ndarray. Returns ndarray.
@ -352,7 +352,7 @@ cdef class Vectors:
def to_disk(self, path, **kwargs): def to_disk(self, path, **kwargs):
"""Save the current state to a directory. """Save the current state to a directory.
path (unicode / Path): A path to a directory, which will be created if path (str / Path): A path to a directory, which will be created if
it doesn't exists. it doesn't exists.
DOCS: https://spacy.io/api/vectors#to_disk DOCS: https://spacy.io/api/vectors#to_disk
@ -372,7 +372,7 @@ cdef class Vectors:
"""Loads state from a directory. Modifies the object in place and """Loads state from a directory. Modifies the object in place and
returns it. returns it.
path (unicode / Path): Directory path, string or Path-like object. path (str / Path): Directory path, string or Path-like object.
RETURNS (Vectors): The modified object. RETURNS (Vectors): The modified object.
DOCS: https://spacy.io/api/vectors#from_disk DOCS: https://spacy.io/api/vectors#from_disk

6
spacy/vocab.pyx
View File

@ -41,7 +41,7 @@ cdef class Vocab:
strings (StringStore): StringStore that maps strings to integers, and strings (StringStore): StringStore that maps strings to integers, and
vice versa. vice versa.
lookups (Lookups): Container for large lookup tables and dictionaries. lookups (Lookups): Container for large lookup tables and dictionaries.
name (unicode): Optional name to identify the vectors table. name (str): Optional name to identify the vectors table.
RETURNS (Vocab): The newly constructed object. RETURNS (Vocab): The newly constructed object.
""" """
lex_attr_getters = lex_attr_getters if lex_attr_getters is not None else {} lex_attr_getters = lex_attr_getters if lex_attr_getters is not None else {}
@ -97,7 +97,7 @@ cdef class Vocab:
See also: `Lexeme.set_flag`, `Lexeme.check_flag`, `Token.set_flag`, See also: `Lexeme.set_flag`, `Lexeme.check_flag`, `Token.set_flag`,
`Token.check_flag`. `Token.check_flag`.
flag_getter (callable): A function `f(unicode) -> bool`, to get the flag_getter (callable): A function `f(str) -> bool`, to get the
flag value. flag value.
flag_id (int): An integer between 1 and 63 (inclusive), specifying flag_id (int): An integer between 1 and 63 (inclusive), specifying
the bit at which the flag will be stored. If -1, the lowest the bit at which the flag will be stored. If -1, the lowest
@ -187,7 +187,7 @@ cdef class Vocab:
def __contains__(self, key): def __contains__(self, key):
"""Check whether the string or int key has an entry in the vocabulary. """Check whether the string or int key has an entry in the vocabulary.
string (unicode): The ID string. string (str): The ID string.
RETURNS (bool) Whether the string has an entry in the vocabulary. RETURNS (bool) Whether the string has an entry in the vocabulary.
DOCS: https://spacy.io/api/vocab#contains DOCS: https://spacy.io/api/vocab#contains

16
website/docs/api/lexeme.md
View File

@ -125,21 +125,21 @@ The L2 norm of the lexeme's vector representation.
| Name | Type | Description | | Name | Type | Description |
| -------------------------------------------- | ------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | | -------------------------------------------- | ------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| `vocab` | `Vocab` | The lexeme's vocabulary. | | `vocab` | `Vocab` | The lexeme's vocabulary. |
| `text` | unicode | Verbatim text content. | | `text` | str | Verbatim text content. |
| `orth` | int | ID of the verbatim text content. | | `orth` | int | ID of the verbatim text content. |
| `orth_` | unicode | Verbatim text content (identical to `Lexeme.text`). Exists mostly for consistency with the other attributes. | | `orth_` | str | Verbatim text content (identical to `Lexeme.text`). Exists mostly for consistency with the other attributes. |
| `rank` | int | Sequential ID of the lexemes's lexical type, used to index into tables, e.g. for word vectors. | | `rank` | int | Sequential ID of the lexemes's lexical type, used to index into tables, e.g. for word vectors. |
| `flags` | int | Container of the lexeme's binary flags. | | `flags` | int | Container of the lexeme's binary flags. |
| `norm` | int | The lexemes's norm, i.e. a normalized form of the lexeme text. | | `norm` | int | The lexemes's norm, i.e. a normalized form of the lexeme text. |
| `norm_` | unicode | The lexemes's norm, i.e. a normalized form of the lexeme text. | | `norm_` | str | The lexemes's norm, i.e. a normalized form of the lexeme text. |
| `lower` | int | Lowercase form of the word. | | `lower` | int | Lowercase form of the word. |
| `lower_` | unicode | Lowercase form of the word. | | `lower_` | str | Lowercase form of the word. |
| `shape` | int | Transform of the words's string, to show orthographic features. Alphabetic characters are replaced by `x` or `X`, and numeric characters are replaced by d`, and sequences of the same character are truncated after length 4. For example,`"Xxxx"`or`"dd"`. | | `shape` | int | Transform of the words's string, to show orthographic features. Alphabetic characters are replaced by `x` or `X`, and numeric characters are replaced by d`, and sequences of the same character are truncated after length 4. For example,`"Xxxx"`or`"dd"`. |
| `shape_` | unicode | Transform of the word's string, to show orthographic features. Alphabetic characters are replaced by `x` or `X`, and numeric characters are replaced by d`, and sequences of the same character are truncated after length 4. For example,`"Xxxx"`or`"dd"`. | | `shape_` | str | Transform of the word's string, to show orthographic features. Alphabetic characters are replaced by `x` or `X`, and numeric characters are replaced by d`, and sequences of the same character are truncated after length 4. For example,`"Xxxx"`or`"dd"`. |
| `prefix` | int | Length-N substring from the start of the word. Defaults to `N=1`. | | `prefix` | int | Length-N substring from the start of the word. Defaults to `N=1`. |
| `prefix_` | unicode | Length-N substring from the start of the word. Defaults to `N=1`. | | `prefix_` | str | Length-N substring from the start of the word. Defaults to `N=1`. |
| `suffix` | int | Length-N substring from the end of the word. Defaults to `N=3`. | | `suffix` | int | Length-N substring from the end of the word. Defaults to `N=3`. |
| `suffix_` | unicode | Length-N substring from the start of the word. Defaults to `N=3`. | | `suffix_` | str | Length-N substring from the start of the word. Defaults to `N=3`. |
| `is_alpha` | bool | Does the lexeme consist of alphabetic characters? Equivalent to `lexeme.text.isalpha()`. | | `is_alpha` | bool | Does the lexeme consist of alphabetic characters? Equivalent to `lexeme.text.isalpha()`. |
| `is_ascii` | bool | Does the lexeme consist of ASCII characters? Equivalent to `[any(ord(c) >= 128 for c in lexeme.text)]`. | | `is_ascii` | bool | Does the lexeme consist of ASCII characters? Equivalent to `[any(ord(c) >= 128 for c in lexeme.text)]`. |
| `is_digit` | bool | Does the lexeme consist of digits? Equivalent to `lexeme.text.isdigit()`. | | `is_digit` | bool | Does the lexeme consist of digits? Equivalent to `lexeme.text.isdigit()`. |
@ -159,7 +159,7 @@ The L2 norm of the lexeme's vector representation.
| `is_oov` | bool | Is the lexeme out-of-vocabulary? | | `is_oov` | bool | Is the lexeme out-of-vocabulary? |
| `is_stop` | bool | Is the lexeme part of a "stop list"? | | `is_stop` | bool | Is the lexeme part of a "stop list"? |
| `lang` | int | Language of the parent vocabulary. | | `lang` | int | Language of the parent vocabulary. |
| `lang_` | unicode | Language of the parent vocabulary. | | `lang_` | str | Language of the parent vocabulary. |
| `prob` | float | Smoothed log probability estimate of the lexeme's word type (context-independent entry in the vocabulary). | | `prob` | float | Smoothed log probability estimate of the lexeme's word type (context-independent entry in the vocabulary). |
| `cluster` | int | Brown cluster ID. | | `cluster` | int | Brown cluster ID. |
| `sentiment` | float | A scalar value indicating the positivity or negativity of the lexeme. | | `sentiment` | float | A scalar value indicating the positivity or negativity of the lexeme. |

30
website/docs/api/vocab.md
View File

@ -27,7 +27,7 @@ Create the vocabulary.
| `tag_map` | dict | A dictionary mapping fine-grained tags to coarse-grained parts-of-speech, and optionally morphological attributes. | | `tag_map` | dict | A dictionary mapping fine-grained tags to coarse-grained parts-of-speech, and optionally morphological attributes. |
| `lemmatizer` | object | A lemmatizer. Defaults to `None`. | | `lemmatizer` | object | A lemmatizer. Defaults to `None`. |
| `strings` | `StringStore` / list | A [`StringStore`](/api/stringstore) that maps strings to hash values, and vice versa, or a list of strings. | | `strings` | `StringStore` / list | A [`StringStore`](/api/stringstore) that maps strings to hash values, and vice versa, or a list of strings. |
| `vectors_name` <Tag variant="new">2.2</Tag> | unicode | A name to identify the vectors table. | | `vectors_name` <Tag variant="new">2.2</Tag> | str | A name to identify the vectors table. |
| **RETURNS** | `Vocab` | The newly constructed object. | | **RETURNS** | `Vocab` | The newly constructed object. |
## Vocab.\_\_len\_\_ {#len tag="method"} ## Vocab.\_\_len\_\_ {#len tag="method"}
@ -91,10 +91,10 @@ given string, you need to look it up in
> assert oov not in nlp.vocab > assert oov not in nlp.vocab
> ``` > ```
| Name | Type | Description | | Name | Type | Description |
| ----------- | ------- | -------------------------------------------------- | | ----------- | ---- | -------------------------------------------------- |
| `string` | unicode | The ID string. | | `string` | str | The ID string. |
| **RETURNS** | bool | Whether the string has an entry in the vocabulary. | | **RETURNS** | bool | Whether the string has an entry in the vocabulary. |
## Vocab.add_flag {#add_flag tag="method"} ## Vocab.add_flag {#add_flag tag="method"}
@ -117,7 +117,7 @@ using `token.check_flag(flag_id)`.
| Name | Type | Description | | Name | Type | Description |
| ------------- | ---- | ----------------------------------------------------------------------------------------------------------------------------------------------- | | ------------- | ---- | ----------------------------------------------------------------------------------------------------------------------------------------------- |
| `flag_getter` | dict | A function `f(unicode) -> bool`, to get the flag value. | | `flag_getter` | dict | A function `f(str) -> bool`, to get the flag value. |
| `flag_id` | int | An integer between 1 and 63 (inclusive), specifying the bit at which the flag will be stored. If `-1`, the lowest available bit will be chosen. | | `flag_id` | int | An integer between 1 and 63 (inclusive), specifying the bit at which the flag will be stored. If `-1`, the lowest available bit will be chosen. |
| **RETURNS** | int | The integer ID by which the flag value can be checked. | | **RETURNS** | int | The integer ID by which the flag value can be checked. |
@ -227,10 +227,10 @@ Save the current state to a directory.
> nlp.vocab.to_disk("/path/to/vocab") > nlp.vocab.to_disk("/path/to/vocab")
> ``` > ```
| Name | Type | Description | | Name | Type | Description |
| --------- | ---------------- | --------------------------------------------------------------------------------------------------------------------- | | --------- | ------------ | --------------------------------------------------------------------------------------------------------------------- |
| `path` | unicode / `Path` | A path to a directory, which will be created if it doesn't exist. Paths may be either strings or `Path`-like objects. | | `path` | str / `Path` | A path to a directory, which will be created if it doesn't exist. Paths may be either strings or `Path`-like objects. |
| `exclude` | list | String names of [serialization fields](#serialization-fields) to exclude. | | `exclude` | list | String names of [serialization fields](#serialization-fields) to exclude. |
## Vocab.from_disk {#from_disk tag="method" new="2"} ## Vocab.from_disk {#from_disk tag="method" new="2"}
@ -243,11 +243,11 @@ Loads state from a directory. Modifies the object in place and returns it.
> vocab = Vocab().from_disk("/path/to/vocab") > vocab = Vocab().from_disk("/path/to/vocab")
> ``` > ```
| Name | Type | Description | | Name | Type | Description |
| ----------- | ---------------- | -------------------------------------------------------------------------- | | ----------- | ------------ | -------------------------------------------------------------------------- |
| `path` | unicode / `Path` | A path to a directory. Paths may be either strings or `Path`-like objects. | | `path` | str / `Path` | A path to a directory. Paths may be either strings or `Path`-like objects. |
| `exclude` | list | String names of [serialization fields](#serialization-fields) to exclude. | | `exclude` | list | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `Vocab` | The modified `Vocab` object. | | **RETURNS** | `Vocab` | The modified `Vocab` object. |
## Vocab.to_bytes {#to_bytes tag="method"} ## Vocab.to_bytes {#to_bytes tag="method"}

53
website/docs/usage/rule-based-matching.md
View File

@ -157,19 +157,19 @@ The available token pattern keys correspond to a number of
[`Token` attributes](/api/token#attributes). The supported attributes for [`Token` attributes](/api/token#attributes). The supported attributes for
rule-based matching are: rule-based matching are:
| Attribute | Type |  Description | | Attribute | Type |  Description |
| -------------------------------------- | ------- | ------------------------------------------------------------------------------------------------------ | | -------------------------------------- | ---- | ------------------------------------------------------------------------------------------------------ |
| `ORTH` | unicode | The exact verbatim text of a token. | | `ORTH` | str | The exact verbatim text of a token. |
| `TEXT` <Tag variant="new">2.1</Tag> | unicode | The exact verbatim text of a token. | | `TEXT` <Tag variant="new">2.1</Tag> | str | The exact verbatim text of a token. |
| `LOWER` | unicode | The lowercase form of the token text. | | `LOWER` | str | The lowercase form of the token text. |
|  `LENGTH` | int | The length of the token text. | |  `LENGTH` | int | The length of the token text. |
|  `IS_ALPHA`, `IS_ASCII`, `IS_DIGIT` | bool | Token text consists of alphabetic characters, ASCII characters, digits. | |  `IS_ALPHA`, `IS_ASCII`, `IS_DIGIT` | bool | Token text consists of alphabetic characters, ASCII characters, digits. |
|  `IS_LOWER`, `IS_UPPER`, `IS_TITLE` | bool | Token text is in lowercase, uppercase, titlecase. | |  `IS_LOWER`, `IS_UPPER`, `IS_TITLE` | bool | Token text is in lowercase, uppercase, titlecase. |
|  `IS_PUNCT`, `IS_SPACE`, `IS_STOP` | bool | Token is punctuation, whitespace, stop word. | |  `IS_PUNCT`, `IS_SPACE`, `IS_STOP` | bool | Token is punctuation, whitespace, stop word. |
|  `LIKE_NUM`, `LIKE_URL`, `LIKE_EMAIL` | bool | Token text resembles a number, URL, email. | |  `LIKE_NUM`, `LIKE_URL`, `LIKE_EMAIL` | bool | Token text resembles a number, URL, email. |
|  `POS`, `TAG`, `DEP`, `LEMMA`, `SHAPE` | unicode | The token's simple and extended part-of-speech tag, dependency label, lemma, shape. | |  `POS`, `TAG`, `DEP`, `LEMMA`, `SHAPE` | str | The token's simple and extended part-of-speech tag, dependency label, lemma, shape. |
| `ENT_TYPE` | unicode | The token's entity label. | | `ENT_TYPE` | str | The token's entity label. |
| `_` <Tag variant="new">2.1</Tag> | dict | Properties in [custom extension attributes](/usage/processing-pipelines#custom-components-attributes). | | `_` <Tag variant="new">2.1</Tag> | dict | Properties in [custom extension attributes](/usage/processing-pipelines#custom-components-attributes). |
<Accordion title="Does it matter if the attribute names are uppercase or lowercase?"> <Accordion title="Does it matter if the attribute names are uppercase or lowercase?">
@ -1101,21 +1101,28 @@ powerful model packages with binary weights _and_ rules included!
### Using a large number of phrase patterns {#entityruler-large-phrase-patterns new="2.2.4"} ### Using a large number of phrase patterns {#entityruler-large-phrase-patterns new="2.2.4"}
When using a large amount of **phrase patterns** (roughly > 10000) it's useful to understand how the `add_patterns` function of the EntityRuler works. For each **phrase pattern**, When using a large amount of **phrase patterns** (roughly > 10000) it's useful
the EntityRuler calls the nlp object to construct a doc object. This happens in case you try to understand how the `add_patterns` function of the EntityRuler works. For each
to add the EntityRuler at the end of an existing pipeline with, for example, a POS tagger and want to **phrase pattern**, the EntityRuler calls the nlp object to construct a doc
extract matches based on the pattern's POS signature. object. This happens in case you try to add the EntityRuler at the end of an
existing pipeline with, for example, a POS tagger and want to extract matches
based on the pattern's POS signature.
In this case you would pass a config value of `phrase_matcher_attr="POS"` for the EntityRuler. In this case you would pass a config value of `phrase_matcher_attr="POS"` for
the EntityRuler.
Running the full language pipeline across every pattern in a large list scales linearly and can therefore take a long time on large amounts of phrase patterns. Running the full language pipeline across every pattern in a large list scales
linearly and can therefore take a long time on large amounts of phrase patterns.
As of spaCy 2.2.4 the `add_patterns` function has been refactored to use nlp.pipe on all phrase patterns resulting in about a 10x-20x speed up with 5,000-100,000 phrase patterns respectively. As of spaCy 2.2.4 the `add_patterns` function has been refactored to use
nlp.pipe on all phrase patterns resulting in about a 10x-20x speed up with
5,000-100,000 phrase patterns respectively.
Even with this speedup (but especially if you're using an older version) the `add_patterns` function can still take a long time. Even with this speedup (but especially if you're using an older version) the
`add_patterns` function can still take a long time.
An easy workaround to make this function run faster is disabling the other language pipes An easy workaround to make this function run faster is disabling the other
while adding the phrase patterns. language pipes while adding the phrase patterns.
```python ```python
entityruler = EntityRuler(nlp) entityruler = EntityRuler(nlp)