Search is not available for this dataset
repo stringlengths 2 152 ⌀ | file stringlengths 15 239 | code stringlengths 0 58.4M | file_length int64 0 58.4M | avg_line_length float64 0 1.81M | max_line_length int64 0 12.7M | extension_type stringclasses 364
values |
|---|---|---|---|---|---|---|
spaCy | spaCy-master/spacy/tests/pipeline/test_pipe_methods.py | import gc
import numpy
import pytest
from thinc.api import get_current_ops
import spacy
from spacy.lang.en import English
from spacy.lang.en.syntax_iterators import noun_chunks
from spacy.language import Language
from spacy.pipeline import TrainablePipe
from spacy.tokens import Doc
from spacy.training import Example
... | 23,305 | 32.825835 | 111 | py |
spaCy | spaCy-master/spacy/tests/pipeline/test_sentencizer.py | import pytest
import spacy
from spacy.lang.en import English
from spacy.pipeline import Sentencizer
from spacy.tokens import Doc
def test_sentencizer(en_vocab):
doc = Doc(en_vocab, words=["Hello", "!", "This", "is", "a", "test", "."])
sentencizer = Sentencizer(punct_chars=None)
doc = sentencizer(doc)
... | 10,882 | 69.668831 | 1,205 | py |
spaCy | spaCy-master/spacy/tests/pipeline/test_senter.py | import pytest
from numpy.testing import assert_equal
from spacy import util
from spacy.attrs import SENT_START
from spacy.lang.en import English
from spacy.language import Language
from spacy.tests.util import make_tempdir
from spacy.training import Example
def test_label_types():
nlp = Language()
senter = n... | 3,313 | 30.865385 | 101 | py |
spaCy | spaCy-master/spacy/tests/pipeline/test_span_finder.py | import pytest
from thinc.api import Config
from spacy import util
from spacy.lang.en import English
from spacy.language import Language
from spacy.pipeline.span_finder import span_finder_default_config
from spacy.tokens import Doc
from spacy.training import Example
from spacy.util import fix_random_seed, make_tempdir,... | 7,429 | 29.829876 | 110 | py |
spaCy | spaCy-master/spacy/tests/pipeline/test_span_ruler.py | import pytest
from thinc.api import NumpyOps, get_current_ops
import spacy
from spacy import registry
from spacy.errors import MatchPatternError
from spacy.tests.util import make_tempdir
from spacy.tokens import Span
from spacy.training import Example
@pytest.fixture
@registry.misc("span_ruler_patterns")
def pattern... | 16,220 | 33.883871 | 105 | py |
spaCy | spaCy-master/spacy/tests/pipeline/test_spancat.py | import numpy
import pytest
from numpy.testing import assert_almost_equal, assert_array_equal
from thinc.api import NumpyOps, Ragged, get_current_ops
from spacy import util
from spacy.lang.en import English
from spacy.language import Language
from spacy.tokens import SpanGroup
from spacy.tokens._dict_proxies import Spa... | 21,976 | 34.85155 | 106 | py |
spaCy | spaCy-master/spacy/tests/pipeline/test_tagger.py | import pytest
from numpy.testing import assert_almost_equal, assert_equal
from thinc.api import compounding, get_current_ops
from spacy import util
from spacy.attrs import TAG
from spacy.lang.en import English
from spacy.language import Language
from spacy.training import Example
from ..util import make_tempdir
@py... | 7,653 | 30.497942 | 101 | py |
spaCy | spaCy-master/spacy/tests/pipeline/test_textcat.py | import random
import numpy.random
import pytest
from numpy.testing import assert_almost_equal
from thinc.api import Config, compounding, fix_random_seed, get_current_ops
from wasabi import msg
import spacy
from spacy import util
from spacy.cli.evaluate import print_prf_per_type, print_textcats_auc_per_cat
from spacy.... | 35,613 | 37.501622 | 267 | py |
spaCy | spaCy-master/spacy/tests/pipeline/test_tok2vec.py | import pytest
from numpy.testing import assert_array_equal
from thinc.api import Config, get_current_ops
from spacy import util
from spacy.lang.en import English
from spacy.ml.models.tok2vec import (
MaxoutWindowEncoder,
MultiHashEmbed,
build_Tok2Vec_model,
)
from spacy.pipeline.tok2vec import Tok2Vec, Tok... | 21,819 | 34.422078 | 120 | py |
spaCy | spaCy-master/spacy/tests/serialize/__init__.py | 0 | 0 | 0 | py | |
spaCy | spaCy-master/spacy/tests/serialize/test_resource_warning.py | import warnings
from unittest import TestCase
import pytest
import srsly
from numpy import zeros
from spacy.kb.kb_in_memory import InMemoryLookupKB, Writer
from spacy.language import Language
from spacy.pipeline import TrainablePipe
from spacy.vectors import Vectors
from spacy.vocab import Vocab
from ..util import m... | 4,185 | 27.283784 | 96 | py |
spaCy | spaCy-master/spacy/tests/serialize/test_serialize_config.py | import pytest
from catalogue import RegistryError
from thinc.api import Config, ConfigValidationError
import spacy
from spacy.lang.de import German
from spacy.lang.en import English
from spacy.language import DEFAULT_CONFIG, DEFAULT_CONFIG_PRETRAIN_PATH, Language
from spacy.ml.models import (
MaxoutWindowEncoder,
... | 18,108 | 30.493913 | 88 | py |
spaCy | spaCy-master/spacy/tests/serialize/test_serialize_doc.py | import copy
import pickle
import numpy
import pytest
from spacy.attrs import DEP, HEAD
from spacy.lang.en import English
from spacy.language import Language
from spacy.matcher import Matcher, PhraseMatcher
from spacy.tokens import Doc
from spacy.vectors import Vectors
from spacy.vocab import Vocab
from ..util import... | 7,370 | 31.615044 | 94 | py |
spaCy | spaCy-master/spacy/tests/serialize/test_serialize_docbin.py | import pytest
import spacy
from spacy.lang.en import English
from spacy.tokens import Doc, DocBin
from spacy.tokens.underscore import Underscore
@pytest.mark.issue(4367)
def test_issue4367():
"""Test that docbin init goes well"""
DocBin()
DocBin(attrs=["LEMMA"])
DocBin(attrs=["LEMMA", "ENT_IOB", "ENT... | 4,028 | 34.342105 | 86 | py |
spaCy | spaCy-master/spacy/tests/serialize/test_serialize_extension_attrs.py | import pytest
from spacy.tokens import Doc, Token
from spacy.vocab import Vocab
@pytest.fixture
def doc_w_attrs(en_tokenizer):
Doc.set_extension("_test_attr", default=False)
Doc.set_extension("_test_prop", getter=lambda doc: len(doc.text))
Doc.set_extension("_test_method", method=lambda doc, arg: f"{len(... | 946 | 29.548387 | 86 | py |
spaCy | spaCy-master/spacy/tests/serialize/test_serialize_kb.py | from pathlib import Path
from typing import Any, Callable, Dict, Iterable
import srsly
from numpy import zeros
from thinc.api import Config
from spacy import Errors, util
from spacy.kb.kb_in_memory import InMemoryLookupKB
from spacy.util import SimpleFrozenList, ensure_path, load_model_from_config, registry
from spac... | 7,066 | 34.691919 | 111 | py |
spaCy | spaCy-master/spacy/tests/serialize/test_serialize_language.py | import pickle
import re
import pytest
from spacy.lang.en import English
from spacy.lang.it import Italian
from spacy.language import Language
from spacy.tokenizer import Tokenizer
from spacy.training import Example
from spacy.util import load_config_from_str
from ..util import make_tempdir
@pytest.fixture
def meta... | 3,594 | 25.433824 | 87 | py |
spaCy | spaCy-master/spacy/tests/serialize/test_serialize_pipeline.py | import pickle
import pytest
import srsly
from thinc.api import Linear
import spacy
from spacy import Vocab, load, registry
from spacy.lang.en import English
from spacy.language import Language
from spacy.pipeline import (
DependencyParser,
EntityRecognizer,
EntityRuler,
SentenceRecognizer,
Tagger,... | 16,840 | 34.232218 | 101 | py |
spaCy | spaCy-master/spacy/tests/serialize/test_serialize_span_groups.py | import pytest
from spacy.tokens import Span, SpanGroup
from spacy.tokens._dict_proxies import SpanGroups
@pytest.mark.issue(10685)
def test_issue10685(en_tokenizer):
"""Test `SpanGroups` de/serialization"""
# Start with a Doc with no SpanGroups
doc = en_tokenizer("Will it blend?")
# Test empty `Span... | 8,768 | 53.12963 | 1,591 | py |
spaCy | spaCy-master/spacy/tests/serialize/test_serialize_tokenizer.py | import pickle
import re
import pytest
from spacy.attrs import ENT_IOB, ENT_TYPE
from spacy.lang.en import English
from spacy.tokenizer import Tokenizer
from spacy.tokens import Doc
from spacy.util import (
compile_infix_regex,
compile_prefix_regex,
compile_suffix_regex,
get_lang_class,
load_model,... | 5,436 | 35.246667 | 89 | py |
spaCy | spaCy-master/spacy/tests/serialize/test_serialize_vocab_strings.py | import pickle
import pytest
from thinc.api import get_current_ops
import spacy
from spacy.lang.en import English
from spacy.strings import StringStore
from spacy.tokens import Doc
from spacy.util import ensure_path, load_model
from spacy.vectors import Vectors
from spacy.vocab import Vocab
from ..util import make_te... | 7,067 | 35.061224 | 92 | py |
spaCy | spaCy-master/spacy/tests/tokenizer/__init__.py | 0 | 0 | 0 | py | |
spaCy | spaCy-master/spacy/tests/tokenizer/test_exceptions.py | import sys
import pytest
def test_tokenizer_handles_emoticons(tokenizer):
# Tweebo challenge (CMU)
text = (
""":o :/ :'( >:o (: :) >.< XD -__- o.O ;D :-) @_@ :P 8D :1 >:( :D =| :> ...."""
)
tokens = tokenizer(text)
assert tokens[0].text == ":o"
assert tokens[1].text == ":/"
assert... | 1,735 | 30.563636 | 87 | py |
spaCy | spaCy-master/spacy/tests/tokenizer/test_explain.py | import re
import string
import hypothesis
import hypothesis.strategies
import pytest
import spacy
from spacy.tokenizer import Tokenizer
from spacy.util import get_lang_class
# Only include languages with no external dependencies
# "is" seems to confuse importlib, so we're also excluding it for now
# excluded: ja, ru... | 4,850 | 36.604651 | 112 | py |
spaCy | spaCy-master/spacy/tests/tokenizer/test_naughty_strings.py | import pytest
# Examples taken from the "Big List of Naughty Strings"
# https://github.com/minimaxir/big-list-of-naughty-strings
NAUGHTY_STRINGS = [
# ASCII punctuation
r",./;'[]\-=",
r'<>?:"{}|_+',
r'!@#$%^&*()`~"',
# Unicode additional control characters, byte order marks
r"... | 4,201 | 35.224138 | 277 | py |
spaCy | spaCy-master/spacy/tests/tokenizer/test_tokenizer.py | import re
import numpy
import pytest
from spacy.lang.de import German
from spacy.lang.en import English
from spacy.symbols import ORTH
from spacy.tokenizer import Tokenizer
from spacy.tokens import Doc
from spacy.training import Example
from spacy.util import (
compile_infix_regex,
compile_prefix_regex,
c... | 18,584 | 32.306452 | 1,475 | py |
spaCy | spaCy-master/spacy/tests/tokenizer/test_urls.py | import pytest
from spacy.lang.tokenizer_exceptions import BASE_EXCEPTIONS
URLS_BASIC = [
"http://www.nytimes.com/2016/04/20/us/politics/new-york-primary-preview.html?hp&action=click&pgtype=Homepage&clickSource=story-heading&module=a-lede-package-region®ion=top-news&WT.nav=top-news&_r=0",
"www.red-stars.com... | 6,404 | 30.092233 | 206 | py |
spaCy | spaCy-master/spacy/tests/tokenizer/test_whitespace.py | import pytest
@pytest.mark.parametrize("text", ["lorem ipsum"])
def test_tokenizer_splits_single_space(tokenizer, text):
tokens = tokenizer(text)
assert len(tokens) == 2
@pytest.mark.parametrize("text", ["lorem ipsum"])
def test_tokenizer_splits_double_space(tokenizer, text):
tokens = tokenizer(text)
... | 1,295 | 27.173913 | 64 | py |
spaCy | spaCy-master/spacy/tests/training/__init__.py | 0 | 0 | 0 | py | |
spaCy | spaCy-master/spacy/tests/training/test_augmenters.py | import random
from contextlib import contextmanager
import pytest
from spacy.lang.en import English
from spacy.pipeline._parser_internals.nonproj import contains_cycle
from spacy.tokens import Doc, DocBin, Span
from spacy.training import Corpus, Example
from spacy.training.augment import (
create_lower_casing_aug... | 10,538 | 41.841463 | 145 | py |
spaCy | spaCy-master/spacy/tests/training/test_corpus.py | import tempfile
from contextlib import contextmanager
from pathlib import Path
from typing import IO, Generator, Iterable, List, TextIO, Tuple
import pytest
from spacy.lang.en import English
from spacy.training import Example, PlainTextCorpus
from spacy.util import make_tempdir
# Intentional newlines to check that t... | 1,942 | 23.2875 | 85 | py |
spaCy | spaCy-master/spacy/tests/training/test_logger.py | import pytest
import spacy
from spacy.training import loggers
@pytest.fixture()
def nlp():
nlp = spacy.blank("en")
nlp.add_pipe("ner")
return nlp
@pytest.fixture()
def info():
return {
"losses": {"ner": 100},
"other_scores": {"ENTS_F": 0.85, "ENTS_P": 0.90, "ENTS_R": 0.80},
... | 600 | 18.387097 | 73 | py |
spaCy | spaCy-master/spacy/tests/training/test_new_example.py | import pytest
from spacy.tokens import Doc
from spacy.training.example import Example
from spacy.util import to_ternary_int
from spacy.vocab import Vocab
def test_Example_init_requires_doc_objects():
vocab = Vocab()
with pytest.raises(TypeError):
Example(None, None)
with pytest.raises(TypeError):... | 16,146 | 33.137421 | 99 | py |
spaCy | spaCy-master/spacy/tests/training/test_pretraining.py | from pathlib import Path
import numpy as np
import pytest
import srsly
from thinc.api import Config, get_current_ops
from spacy import util
from spacy.lang.en import English
from spacy.language import DEFAULT_CONFIG_PATH, DEFAULT_CONFIG_PRETRAIN_PATH
from spacy.ml.models.multi_task import create_pretrain_vectors
from... | 12,029 | 30.492147 | 103 | py |
spaCy | spaCy-master/spacy/tests/training/test_readers.py | from typing import Callable, Dict, Iterable
import pytest
from thinc.api import Config, fix_random_seed
from spacy import Language
from spacy.schemas import ConfigSchemaTraining
from spacy.training import Example
from spacy.util import load_model_from_config, registry, resolve_dot_names
def test_readers():
conf... | 3,949 | 31.113821 | 87 | py |
spaCy | spaCy-master/spacy/tests/training/test_rehearse.py | from typing import List
import pytest
import spacy
from spacy.training import Example
TRAIN_DATA = [
(
"Who is Kofi Annan?",
{
"entities": [(7, 18, "PERSON")],
"tags": ["PRON", "AUX", "PROPN", "PRON", "PUNCT"],
"heads": [1, 1, 3, 1, 1],
"deps": ["at... | 6,405 | 29.216981 | 88 | py |
spaCy | spaCy-master/spacy/tests/training/test_training.py | import random
import numpy
import pytest
import srsly
from thinc.api import Adam, compounding
import spacy
from spacy.lang.en import English
from spacy.tokens import Doc, DocBin
from spacy.training import (
Alignment,
Corpus,
Example,
biluo_tags_to_offsets,
biluo_tags_to_spans,
docs_to_json,
... | 45,549 | 38.098712 | 109 | py |
spaCy | spaCy-master/spacy/tests/vocab_vectors/__init__.py | 0 | 0 | 0 | py | |
spaCy | spaCy-master/spacy/tests/vocab_vectors/test_lexeme.py | import numpy
import pytest
from spacy.attrs import IS_ALPHA, IS_DIGIT
from spacy.lookups import Lookups
from spacy.tokens import Doc
from spacy.util import OOV_RANK
from spacy.vocab import Vocab
@pytest.mark.issue(361)
@pytest.mark.parametrize("text1,text2", [("cat", "dog")])
def test_issue361(en_vocab, text1, text2... | 2,853 | 32.576471 | 82 | py |
spaCy | spaCy-master/spacy/tests/vocab_vectors/test_lookups.py | import pytest
from spacy.lookups import Lookups, Table
from spacy.strings import get_string_id
from spacy.vocab import Vocab
from ..util import make_tempdir
def test_lookups_api():
table_name = "test"
data = {"foo": "bar", "hello": "world"}
lookups = Lookups()
lookups.add_table(table_name, data)
... | 4,652 | 31.538462 | 73 | py |
spaCy | spaCy-master/spacy/tests/vocab_vectors/test_similarity.py | import numpy
import pytest
from spacy.tokens import Doc
from spacy.vocab import Vocab
from ..util import add_vecs_to_vocab, get_cosine
@pytest.fixture
def vectors():
return [("apple", [1, 2, 3]), ("orange", [-1, -2, -3])]
@pytest.fixture()
def vocab(en_vocab, vectors):
add_vecs_to_vocab(en_vocab, vectors)... | 3,835 | 33.25 | 88 | py |
spaCy | spaCy-master/spacy/tests/vocab_vectors/test_stringstore.py | import pytest
from spacy.strings import StringStore
@pytest.fixture
def stringstore():
return StringStore()
def test_string_hash(stringstore):
"""Test that string hashing is stable across platforms"""
assert stringstore.add("apple") == 8566208034543834098
heart = "\U0001f499"
h = stringstore.ad... | 3,339 | 32.737374 | 301 | py |
spaCy | spaCy-master/spacy/tests/vocab_vectors/test_vectors.py | import numpy
import pytest
from numpy.testing import assert_allclose, assert_almost_equal, assert_equal
from thinc.api import NumpyOps, get_current_ops
from spacy.lang.en import English
from spacy.strings import hash_string # type: ignore
from spacy.tokenizer import Tokenizer
from spacy.tokens import Doc
from spacy.t... | 23,814 | 34.073638 | 106 | py |
spaCy | spaCy-master/spacy/tests/vocab_vectors/test_vocab_api.py | import os
import pytest
from spacy.attrs import IS_ALPHA, LEMMA, ORTH
from spacy.lang.en import English
from spacy.parts_of_speech import NOUN, VERB
from spacy.vocab import Vocab
from ..util import make_tempdir
@pytest.mark.issue(1868)
def test_issue1868():
"""Test Vocab.__contains__ works with int keys."""
... | 2,148 | 24.583333 | 78 | py |
spaCy | spaCy-master/spacy/tokens/__init__.py | from ._serialize import DocBin
from .doc import Doc
from .morphanalysis import MorphAnalysis
from .span import Span
from .span_group import SpanGroup
from .token import Token
__all__ = ["Doc", "Token", "Span", "SpanGroup", "DocBin", "MorphAnalysis"]
| 251 | 27 | 74 | py |
spaCy | spaCy-master/spacy/tokens/_dict_proxies.py | import warnings
import weakref
from collections import UserDict
from typing import TYPE_CHECKING, Dict, Iterable, List, Optional, Tuple, Union
import srsly
from ..errors import Errors, Warnings
from .span_group import SpanGroup
if TYPE_CHECKING:
# This lets us add type hints for mypy etc. without causing circula... | 4,515 | 39.684685 | 91 | py |
spaCy | spaCy-master/spacy/tokens/_serialize.py | import zlib
from pathlib import Path
from typing import Dict, Iterable, Iterator, List, Optional, Set, Union
import numpy
import srsly
from numpy import ndarray
from thinc.api import NumpyOps
from ..attrs import IDS, ORTH, SPACY, intify_attr
from ..compat import copy_reg
from ..errors import Errors
from ..util import... | 11,991 | 37.935065 | 88 | py |
spaCy | spaCy-master/spacy/tokens/underscore.py | import copy
import functools
from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, Union
from ..errors import Errors
if TYPE_CHECKING:
from .doc import Doc
from .span import Span
from .token import Token
class Underscore:
mutable_types = (dict, list, set)
doc_extensions: Dict[Any, ... | 5,590 | 38.935714 | 83 | py |
spaCy | spaCy-master/spacy/training/__init__.py | from .alignment import Alignment # noqa: F401
from .augment import dont_augment, orth_variants_augmenter # noqa: F401
from .batchers import minibatch_by_padded_size, minibatch_by_words # noqa: F401
from .callbacks import create_copy_from_base_model # noqa: F401
from .corpus import Corpus, JsonlCorpus, PlainTextCorp... | 760 | 39.052632 | 84 | py |
spaCy | spaCy-master/spacy/training/alignment.py | from dataclasses import dataclass
from typing import List
from .align import get_alignments
from .alignment_array import AlignmentArray
@dataclass
class Alignment:
x2y: AlignmentArray
y2x: AlignmentArray
@classmethod
def from_indices(cls, x2y: List[List[int]], y2x: List[List[int]]) -> "Alignment":
... | 614 | 25.73913 | 85 | py |
spaCy | spaCy-master/spacy/training/augment.py | import itertools
import random
from functools import partial
from typing import TYPE_CHECKING, Callable, Dict, Iterator, List, Optional, Tuple
from ..util import registry
from .example import Example
from .iob_utils import _doc_to_biluo_tags_with_partial, split_bilu_label
if TYPE_CHECKING:
from ..language import ... | 13,261 | 37 | 86 | py |
spaCy | spaCy-master/spacy/training/batchers.py | import itertools
from functools import partial
from typing import (
Any,
Callable,
Iterable,
Iterator,
List,
Optional,
Sequence,
TypeVar,
Union,
)
from ..util import minibatch, registry
Sizing = Union[Sequence[int], int]
ItemT = TypeVar("ItemT")
BatcherT = Callable[[Iterable[ItemT]... | 9,132 | 36.896266 | 95 | py |
spaCy | spaCy-master/spacy/training/callbacks.py | from typing import TYPE_CHECKING, Callable, Optional
from ..errors import Errors
from ..util import load_model, logger, registry
if TYPE_CHECKING:
from ..language import Language
@registry.callbacks("spacy.copy_from_base_model.v1")
def create_copy_from_base_model(
tokenizer: Optional[str] = None,
vocab:... | 1,312 | 35.472222 | 88 | py |
spaCy | spaCy-master/spacy/training/corpus.py | import random
import warnings
from pathlib import Path
from typing import TYPE_CHECKING, Callable, Iterable, Iterator, List, Optional, Union
import srsly
from .. import util
from ..errors import Errors, Warnings
from ..tokens import Doc, DocBin
from ..vocab import Vocab
from .augment import dont_augment
from .example... | 11,974 | 35.178248 | 87 | py |
spaCy | spaCy-master/spacy/training/initialize.py | import gzip
import tarfile
import warnings
import zipfile
from itertools import islice
from pathlib import Path
from typing import IO, TYPE_CHECKING, Any, Dict, Optional, Union
import numpy
import srsly
import tqdm
from thinc.api import Config, ConfigValidationError, fix_random_seed, set_gpu_allocator
from ..errors i... | 14,130 | 37.928375 | 103 | py |
spaCy | spaCy-master/spacy/training/iob_utils.py | import warnings
from typing import Dict, Iterable, Iterator, List, Tuple, Union, cast
from ..errors import Errors, Warnings
from ..tokens import Doc, Span
def iob_to_biluo(tags: Iterable[str]) -> List[str]:
out: List[str] = []
tags = list(tags)
while tags:
out.extend(_consume_os(tags))
ou... | 9,073 | 36.651452 | 86 | py |
spaCy | spaCy-master/spacy/training/loggers.py | import sys
from pathlib import Path
from typing import IO, TYPE_CHECKING, Any, Callable, Dict, List, Optional, Tuple, Union
import srsly
import tqdm
from wasabi import Printer
from .. import util
from ..errors import Errors
from ..util import registry
if TYPE_CHECKING:
from ..language import Language # noqa: F4... | 7,820 | 38.105 | 146 | py |
spaCy | spaCy-master/spacy/training/loop.py | import random
import shutil
import sys
from pathlib import Path
from timeit import default_timer as timer
from typing import (
IO,
TYPE_CHECKING,
Any,
Callable,
Dict,
Iterable,
List,
Optional,
Tuple,
Union,
)
from thinc.api import Config, Optimizer, constant, fix_random_seed, se... | 15,029 | 37.837209 | 88 | py |
spaCy | spaCy-master/spacy/training/pretrain.py | import re
import time
from collections import Counter
from pathlib import Path
from typing import Callable, Iterable, List, Optional, Union
import srsly
from thinc.api import (
Config,
Model,
Optimizer,
fix_random_seed,
set_dropout_rate,
set_gpu_allocator,
)
from thinc.config import ConfigValid... | 9,710 | 36.206897 | 117 | py |
spaCy | spaCy-master/spacy/training/converters/__init__.py | from .conll_ner_to_docs import conll_ner_to_docs # noqa: F401
from .conllu_to_docs import conllu_to_docs # noqa: F401
from .iob_to_docs import iob_to_docs # noqa: F401
from .json_to_docs import json_to_docs # noqa: F401
| 224 | 44 | 62 | py |
spaCy | spaCy-master/spacy/training/converters/conll_ner_to_docs.py | from wasabi import Printer
from ...errors import Errors
from ...tokens import Doc, Span
from ...training import iob_to_biluo
from ...util import get_lang_class, load_model
from .. import tags_to_entities
def conll_ner_to_docs(
input_data, n_sents=10, seg_sents=False, model=None, no_print=False, **kwargs
):
"... | 6,177 | 34.918605 | 85 | py |
spaCy | spaCy-master/spacy/training/converters/conllu_to_docs.py | import re
from wasabi import Printer
from ...tokens import Doc, Span, Token
from ...training import biluo_tags_to_spans, iob_to_biluo
from ...vocab import Vocab
from .conll_ner_to_docs import n_sents_info
def conllu_to_docs(
input_data,
n_sents=10,
append_morphology=False,
ner_map=None,
merge_su... | 10,276 | 32.47557 | 80 | py |
spaCy | spaCy-master/spacy/training/converters/iob_to_docs.py | from wasabi import Printer
from ...errors import Errors
from ...tokens import Doc, Span
from ...training import iob_to_biluo, tags_to_entities
from ...util import minibatch
from ...vocab import Vocab
from .conll_ner_to_docs import n_sents_info
def iob_to_docs(input_data, n_sents=10, no_print=False, *args, **kwargs):... | 2,356 | 36.412698 | 98 | py |
spaCy | spaCy-master/spacy/training/converters/json_to_docs.py | import srsly
from ...lang.xx import MultiLanguage
from ...util import load_model
from ..example import (
_fix_legacy_dict_data,
_parse_example_dict_data,
annotations_to_doc,
)
from ..gold_io import json_iterate, json_to_annotations
def json_to_docs(input_data, model=None, **kwargs):
nlp = load_model(... | 880 | 34.24 | 71 | py |
spaCy | spaCy-master/website/README.md | # spacy.io website and docs
The styleguide for the spaCy website is available at
[spacy.io/styleguide](https://spacy.io/styleguide).
## Setup and installation
```bash
# Clone the repository
git clone https://... | 3,624 | 34.891089 | 107 | md |
spaCy | spaCy-master/website/UNIVERSE.md | <a href="https://explosion.ai"><img src="https://explosion.ai/assets/img/logo.svg" width="125" height="125" align="right" /></a>
# spaCy Universe
The [spaCy Universe](https://spacy.io/universe) collects the many great
resources developed with or for spaCy. It includes standalone packages, plugins,
extensions, educati... | 6,100 | 57.104762 | 166 | md |
spaCy | spaCy-master/website/meta/languageSorted.tsx | import models from './languages.json'
export const languagesSorted = models.languages
.filter(({ models }) => models && models.length)
.sort((a, b) => a.name.localeCompare(b.name))
| 190 | 30.833333 | 52 | tsx |
spaCy | spaCy-master/website/meta/recordLanguages.tsx | import models from './languages.json'
const recordLanguages = Object.fromEntries(
models.languages.map((language, index) => [language.code, language])
)
export default recordLanguages
| 190 | 22.875 | 72 | tsx |
spaCy | spaCy-master/website/meta/recordSections.tsx | import siteMetadata from './site.json'
const recordSections = Object.fromEntries(siteMetadata.sections.map((s) => [s.id, s]))
export default recordSections
| 158 | 25.5 | 86 | tsx |
spaCy | spaCy-master/website/meta/recordUniverse.tsx | import universe from './universe.json'
export const recordUniverseCategories = Object.fromEntries(
universe.categories.flatMap((category) => category.items.map((item) => [item.id, item]))
)
export const recordUniverseResources = Object.fromEntries(
universe.resources.map((resource) => [resource.id, resource])... | 323 | 31.4 | 92 | tsx |
spaCy | spaCy-master/website/meta/sidebarFlat.tsx | import sidebars from './sidebars.json'
export const sidebarUsageFlat = sidebars
.find((sidebar) => sidebar.section === 'usage')
.items.flatMap((item) => item.items)
| 174 | 28.166667 | 51 | tsx |
spaCy | spaCy-master/website/pages/[...listPathPage].tsx | import type { GetStaticPaths, GetStaticProps } from 'next'
import { serialize } from 'next-mdx-remote/serialize'
import fs from 'fs'
import { MDXRemote, MDXRemoteSerializeResult } from 'next-mdx-remote'
import path from 'path'
import Layout from '../src/templates'
import remarkPlugins from '../plugins/index.mjs'
impor... | 4,683 | 30.019868 | 113 | tsx |
spaCy | spaCy-master/website/pages/_app.tsx | import '../src/styles/layout.sass'
import '../src/styles/search.sass'
import type { AppProps } from 'next/app'
import Head from 'next/head'
import PlausibleProvider from 'next-plausible'
import { MDXProvider } from '@mdx-js/react'
import { remarkComponents } from '../src/remark'
import { domain } from '../meta/dynamic... | 1,554 | 44.735294 | 141 | tsx |
spaCy | spaCy-master/website/pages/_document.tsx | import { Html, Head, Main, NextScript } from 'next/document'
export default function Document() {
return (
<Html lang="en">
<Head />
<body className="theme-blue">
<Main />
<NextScript />
</body>
</Html>
)
}
| 300 | 20.5 | 60 | tsx |
spaCy | spaCy-master/website/pages/index.tsx | import React from 'react'
import PropTypes from 'prop-types'
import {
LandingHeader,
LandingTitle,
LandingSubtitle,
LandingGrid,
LandingCard,
LandingCol,
LandingDemo,
LandingBannerGrid,
LandingBanner,
} from '../src/components/landing'
import { H2 } from '../src/components/typograph... | 14,310 | 45.615635 | 106 | tsx |
spaCy | spaCy-master/website/pages/models/[slug].tsx | import type { GetStaticPaths, GetStaticProps } from 'next'
import models from '../../meta/languages.json'
import recordSection from '../../meta/recordSections'
import recordLanguages from '../../meta/recordLanguages'
import Layout from '../../src/templates'
import { PropsPageBase } from '../[...listPathPage]'
import { ... | 2,076 | 30 | 87 | tsx |
spaCy | spaCy-master/website/pages/universe/index.tsx | import recordSections from '../../meta/recordSections'
import Layout from '../../src/templates'
const Universe = () => {
return (
<Layout
slug={'/universe'}
section="universe"
sectionTitle={recordSections.universe.title}
theme={recordSections.universe.theme}
... | 413 | 22 | 56 | tsx |
spaCy | spaCy-master/website/pages/universe/category/[slug].tsx | import { GetStaticPaths, GetStaticProps } from 'next'
import recordSections from '../../../meta/recordSections'
import { recordUniverseCategories } from '../../../meta/recordUniverse'
import universe from '../../../meta/universe.json'
import Layout from '../../../src/templates'
import { PropsPageBase } from '../../[...... | 1,309 | 28.772727 | 94 | tsx |
spaCy | spaCy-master/website/pages/universe/project/[slug].tsx | import { GetStaticPaths, GetStaticProps } from 'next'
import recordSections from '../../../meta/recordSections'
import { recordUniverseResources } from '../../../meta/recordUniverse'
import universe from '../../../meta/universe.json'
import Layout from '../../../src/templates'
import { PropsPageBase } from '../../[...l... | 1,294 | 29.833333 | 94 | tsx |
spaCy | spaCy-master/website/public/images/displacy-dep-founded.html | <svg
xmlns="http://www.w3.org/2000/svg"
xlink="http://www.w3.org/1999/xlink"
xml:lang="en"
id="c3124cc3e661444cb9d4175a5b7c09d1-0"
class="displacy"
width="925"
height="399.5"
direction="ltr"
style="
max-width: none;
height: 399.5px;
color: #000000;
bac... | 5,233 | 32.551282 | 84 | html |
spaCy | spaCy-master/website/public/images/displacy-ent-custom.html | <div
class="entities"
style="
line-height: 2.5;
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Helvetica, Arial, sans-serif,
'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol';
font-size: 18px;
"
>But
<mark
class="entity"
style="... | 2,351 | 28.037037 | 97 | html |
spaCy | spaCy-master/website/public/images/displacy-ent-snek.html | <div
class="entities"
style="
line-height: 2.5;
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Helvetica, Arial, sans-serif,
'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol';
font-size: 16px;
"
>
🌱🌿
<mark
class="entity"
style... | 1,476 | 23.616667 | 97 | html |
spaCy | spaCy-master/website/public/images/displacy-ent1.html | <div
class="entities"
style="
line-height: 2.5;
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Helvetica, Arial, sans-serif,
'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol';
font-size: 16px;
"
>
<mark
class="entity"
style="
... | 2,098 | 23.694118 | 97 | html |
spaCy | spaCy-master/website/public/images/displacy-ent2.html | <div
class="entities"
style="
line-height: 2.5;
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Helvetica, Arial, sans-serif,
'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol';
font-size: 18px;
"
>
When
<mark
class="entity"
style... | 2,185 | 24.126437 | 97 | html |
spaCy | spaCy-master/website/public/images/displacy-long.html | <svg
xmlns="http://www.w3.org/2000/svg"
xmlns:xlink="http://www.w3.org/1999/xlink"
id="e109581593f245ce9c4ac12f78e0c74e-0"
class="displacy"
width="1975"
height="399.5"
style="
max-width: none;
height: 399.5px;
color: #000000;
background: #ffffff;
font-... | 11,592 | 34.237082 | 99 | html |
spaCy | spaCy-master/website/public/images/displacy-long2.html | <svg
xmlns="http://www.w3.org/2000/svg"
xmlns:xlink="http://www.w3.org/1999/xlink"
id="0"
class="displacy"
width="1275"
height="399.5"
style="
max-width: none;
height: 399.5px;
color: #000000;
background: #ffffff;
font-family: Arial;
"
>
<text ... | 6,927 | 31.525822 | 87 | html |
spaCy | spaCy-master/website/public/images/displacy-span-custom.html | <div
class="spans"
style="
line-height: 2.5;
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Helvetica, Arial, sans-serif,
'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol';
font-size: 18px;
direction: ltr;
"
>
Welcome to the
<span style... | 2,252 | 25.505882 | 97 | html |
spaCy | spaCy-master/website/public/images/displacy-span.html | <div
class="spans"
style="
line-height: 2.5;
direction: ltr;
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Helvetica, Arial, sans-serif,
'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol';
font-size: 18px;
"
>
Welcome to the
<span style... | 3,355 | 26.064516 | 97 | html |
spaCy | spaCy-master/website/setup/jinja_to_js.py | # Forked from: https://github.com/jonbretman/jinja-to-js
# With additional functionality: in/not in, replace, pprint, round, + for lists,
# rendering empty dicts
# This script is mostly used to generate the JavaScript function for the
# training quickstart widget.
import contextlib
import json
import re
import os
from ... | 47,269 | 36.132757 | 100 | py |
spaCy | spaCy-master/website/setup/setup.sh | python setup/jinja_to_js.py ../spacy/cli/templates/quickstart_training.jinja src/widgets/quickstart-training-generator.js ../spacy/cli/templates/quickstart_training_recommendations.yml
| 185 | 92 | 184 | sh |
null | CIRCLe-main/main.py | import torch
import random
from torch import nn, optim
import argparse
import os, importlib
from tqdm import tqdm
import numpy as np
from torch.utils import data
from util import AverageMeter
from dataset import get_fitz_dataloaders
parser = argparse.ArgumentParser(description='DG')
parser.add_argument('--dataset', ty... | 4,661 | 37.528926 | 109 | py |
null | CIRCLe-main/solver_stargan.py | from models.stargan import Generator
from models.stargan import Discriminator
import torch
import torch.nn.functional as F
import numpy as np
import os
import time
import datetime
from logger import Logger
class Solver(object):
"""Solver for training and testing StarGAN."""
def __init__(self, loader, config)... | 12,090 | 40.982639 | 106 | py |
null | CIRCLe-main/logger.py | import tensorflow as tf
class Logger(object):
"""Tensorboard logger."""
def __init__(self, log_dir):
"""Initialize summary writer."""
self.writer = tf.summary.FileWriter(log_dir)
def scalar_summary(self, tag, value, step):
"""Add scalar summary."""
summary = tf.Summary(va... | 419 | 29 | 83 | py |
null | CIRCLe-main/dataset.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import os
import torch
from PIL import Image, ImageFile
from torchvision import transforms
import pandas as pd
import numpy as np
from sklearn.model_selection import train_test_split
class SkinDataset():
def __init__(self, df, root_dir, trans... | 5,072 | 32.375 | 108 | py |
null | CIRCLe-main/util.py | class AverageMeter(object):
def __init__(self):
self.reset()
def reset(self):
self.count = 0
self.sum = 0
def update(self, val, n=1):
self.count += n
self.sum += val * n
def float(self):
return self.sum / self.count
def __repr__(self):
retu... | 356 | 18.833333 | 47 | py |
null | CIRCLe-main/README.md | # CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions
This repository holds the source accompanying our [ECCV ISIC Workshop 2022 paper](https://www2.cs.sfu.ca/~hamarneh/ecopy/eccv_isic2022a.pdf).
[Paper](https://link.springer.com/chapter/10.1007/978-3-031-25069-9_14) | [Arxiv](... | 3,603 | 45.205128 | 609 | md |
null | CIRCLe-main/train_stargan.py | import os
import argparse
from solver_stargan import Solver
from torch.backends import cudnn
from dataset import get_fitz_dataloaders
def str2bool(v):
return v.lower() in ('true')
def main(config):
# For fast training.
cudnn.benchmark = True
# Create directories if not exist.
if not os.path.exi... | 3,841 | 47.025 | 116 | py |
null | CIRCLe-main/models/base.py | import torchvision.models as models
from torch import nn
import torch.nn.functional as F
class BaseModel(nn.Module):
def __init__(self, hidden_dim=256, base='resnet50'):
super(BaseModel, self).__init__()
if base == 'alexnet':
self.base = models.alexnet(pretrained=True)
self... | 1,569 | 51.333333 | 121 | py |
null | CIRCLe-main/models/circle.py | import torch
from torch import nn
import torch.nn.functional as F
from models.base import BaseModel
from models.stargan import load_stargan
class Model(BaseModel):
def __init__(self, config, hidden_dim=256, base='vgg16', use_reg=True):
super(Model, self).__init__(hidden_dim, base)
self.out_layer ... | 1,422 | 34.575 | 75 | py |
null | CIRCLe-main/models/stargan.py | import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
class ResidualBlock(nn.Module):
"""Residual Block with instance normalization."""
def __init__(self, dim_in, dim_out):
super(ResidualBlock, self).__init__()
self.main = nn.Sequential(
nn.Conv2d(di... | 4,086 | 40.282828 | 118 | py |