repo_id stringclasses 400
values | commit_sha stringclasses 400
values | commit_index int32 0 951 | in_repo_split stringclasses 1
value | cross_repo_split stringclasses 1
value | test_file stringlengths 7 121 | test_function stringlengths 1 108 | assertion_type stringclasses 32
values | difficulty stringclasses 8
values | context_lines int32 3 600 | prefix large_stringlengths 44 113k | target large_stringlengths 1 498 | anchor_sha stringclasses 400
values | anchor_index int32 0 951 | qna_source stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/layers/test_uniqued.py | test_uniqued_calls_init | assert | collection | 36 | import pytest
import numpy
from thinc.layers import Embed
from ...layers.uniqued import uniqued
from numpy.testing import assert_allclose
from hypothesis import given
from hypothesis.strategies import integers, lists, composite
ROWS = 10
def lists_of_integers(draw, columns=2, lo=0, hi=ROWS):
# We call draw to get... | [True, True] | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/layers/test_uniqued.py | test_uniqued_doesnt_change_result | pytest.raises | variable | 40 | import pytest
import numpy
from thinc.layers import Embed
from ...layers.uniqued import uniqued
from numpy.testing import assert_allclose
from hypothesis import given
from hypothesis.strategies import integers, lists, composite
ROWS = 10
def lists_of_integers(draw, columns=2, lo=0, hi=ROWS):
# We call draw to get... | AssertionError) | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/layers/test_with_transforms.py | test_with_getitem | assert | func_call | 120 | import pytest
import numpy
from thinc.api import NumpyOps, Model, Linear
from thinc.api import with_array, with_padded, with_list, with_ragged, with_getitem
from thinc.types import Padded, Ragged
from ..util import get_data_checker
def shapes(request):
return request.param
def ops():
return NumpyOps()
def l... | len(data) | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/model/test_model.py | test_model_init | assert | numeric_literal | 54 | import pytest
import threading
import time
from thinc.api import Linear, NumpyOps, get_current_ops, use_device, Model, Shim
from thinc.api import change_attr_values, set_dropout_rate
import numpy
from ..util import make_tempdir
def model_with_no_args():
return Linear()
def create_model(name):
return Model(na... | 10 | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/model/test_model.py | _overload_plus | assert | collection | 27 | import pytest
import threading
import time
from thinc.api import Linear, NumpyOps, get_current_ops, use_device, Model, Shim
from thinc.api import change_attr_values, set_dropout_rate
import numpy
from ..util import make_tempdir
def model_with_no_args():
return Linear()
def create_model(name):
return Model(na... | {} | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/model/test_model.py | test_model_init | assert | string_literal | 64 | import pytest
import threading
import time
from thinc.api import Linear, NumpyOps, get_current_ops, use_device, Model, Shim
from thinc.api import change_attr_values, set_dropout_rate
import numpy
from ..util import make_tempdir
def model_with_no_args():
return Linear()
def create_model(name):
return Model(na... | "a" | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/model/test_model.py | test_set_dropout | assert | numeric_literal | 22 | import pytest
import threading
import time
from thinc.api import Linear, NumpyOps, get_current_ops, use_device, Model, Shim
from thinc.api import change_attr_values, set_dropout_rate
import numpy
from ..util import make_tempdir
def model_with_no_args():
return Linear()
def create_model(name):
return Model(na... | 0.2 | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/model/test_model.py | test_model_init | assert | none_literal | 34 | import pytest
import threading
import time
from thinc.api import Linear, NumpyOps, get_current_ops, use_device, Model, Shim
from thinc.api import change_attr_values, set_dropout_rate
import numpy
from ..util import make_tempdir
def model_with_no_args():
return Linear()
def create_model(name):
return Model(na... | None | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/model/test_model.py | test_change_attr_values | assert | bool_literal | 22 | import pytest
import threading
import time
from thinc.api import Linear, NumpyOps, get_current_ops, use_device, Model, Shim
from thinc.api import change_attr_values, set_dropout_rate
import numpy
from ..util import make_tempdir
def model_with_no_args():
return Linear()
def create_model(name):
return Model(na... | True | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/model/test_model.py | _overload_plus | assert | string_literal | 26 | import pytest
import threading
import time
from thinc.api import Linear, NumpyOps, get_current_ops, use_device, Model, Shim
from thinc.api import change_attr_values, set_dropout_rate
import numpy
from ..util import make_tempdir
def model_with_no_args():
return Linear()
def create_model(name):
return Model(na... | "ab" | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/model/test_model.py | test_model_set_reference | assert | variable | 25 | import pytest
import threading
import time
from thinc.api import Linear, NumpyOps, get_current_ops, use_device, Model, Shim
from thinc.api import change_attr_values, set_dropout_rate
import numpy
from ..util import make_tempdir
def model_with_no_args():
return Linear()
def create_model(name):
return Model(na... | child | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/model/test_model.py | test_use_device | assert | variable | 27 | import pytest
import threading
import time
from thinc.api import Linear, NumpyOps, get_current_ops, use_device, Model, Shim
from thinc.api import change_attr_values, set_dropout_rate
import numpy
from ..util import make_tempdir
def model_with_no_args():
return Linear()
def create_model(name):
return Model(na... | dev_id | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/model/test_model.py | test_param_names | assert | func_call | 19 | import pytest
import threading
import time
from thinc.api import Linear, NumpyOps, get_current_ops, use_device, Model, Shim
from thinc.api import change_attr_values, set_dropout_rate
import numpy
from ..util import make_tempdir
def model_with_no_args():
return Linear()
def create_model(name):
return Model(na... | tuple() | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/mypy/test_mypy.py | test_mypy_results | assert | variable | 68 | import os
import re
from pathlib import Path
import shutil
import pytest
from mypy import api as mypy_api
GENERATE = False
cases = [
("mypy-plugin.ini", "success_plugin.py", "success-plugin.txt"),
("mypy-plugin.ini", "fail_plugin.py", "fail-plugin.txt"),
("mypy-default.ini", "success_no_plugin.py", "suc... | expected_err | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/mypy/test_mypy.py | test_mypy_results | assert | variable | 66 | import os
import re
from pathlib import Path
import shutil
import pytest
from mypy import api as mypy_api
GENERATE = False
cases = [
("mypy-plugin.ini", "success_plugin.py", "success-plugin.txt"),
("mypy-plugin.ini", "fail_plugin.py", "fail-plugin.txt"),
("mypy-default.ini", "success_no_plugin.py", "suc... | expected_out | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/mypy/test_mypy.py | test_mypy_results | assert | variable | 69 | import os
import re
from pathlib import Path
import shutil
import pytest
from mypy import api as mypy_api
GENERATE = False
cases = [
("mypy-plugin.ini", "success_plugin.py", "success-plugin.txt"),
("mypy-plugin.ini", "fail_plugin.py", "fail-plugin.txt"),
("mypy-default.ini", "success_no_plugin.py", "suc... | expected_returncode | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/regression/test_issue208.py | test_issue208 | assert | numeric_literal | 10 | from thinc.api import chain, Linear
def test_issue208():
"""Test issue that was caused by trying to flatten nested chains."""
layer1 = Linear(nO=9, nI=3)
layer2 = Linear(nO=12, nI=9)
layer3 = Linear(nO=5, nI=12)
model = chain(layer1, chain(layer2, layer3))
assert model.get_dim("nO") == | 5 | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_config.py | test_fill_defaults_simple_config | assert | numeric_literal | 101 | import pytest
from typing import Iterable, Union, Optional, List, Callable, Dict
from types import GeneratorType
from pydantic import BaseModel, StrictBool, StrictFloat, PositiveInt, constr
import catalogue
import thinc.config
from thinc.config import ConfigValidationError
from thinc.types import Generator
from thinc.a... | 1 | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_config.py | test_fill_recursive_config | assert | numeric_literal | 103 | import pytest
from typing import Iterable, Union, Optional, List, Callable, Dict
from types import GeneratorType
from pydantic import BaseModel, StrictBool, StrictFloat, PositiveInt, constr
import catalogue
import thinc.config
from thinc.config import ConfigValidationError
from thinc.types import Generator
from thinc.a... | 4 | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_config.py | test_fill_recursive_config | assert | numeric_literal | 104 | import pytest
from typing import Iterable, Union, Optional, List, Callable, Dict
from types import GeneratorType
from pydantic import BaseModel, StrictBool, StrictFloat, PositiveInt, constr
import catalogue
import thinc.config
from thinc.config import ConfigValidationError
from thinc.types import Generator
from thinc.a... | 7 | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_config.py | test_create_registry | assert | numeric_literal | 103 | import pytest
from typing import Iterable, Union, Optional, List, Callable, Dict
from types import GeneratorType
from pydantic import BaseModel, StrictBool, StrictFloat, PositiveInt, constr
import catalogue
import thinc.config
from thinc.config import ConfigValidationError
from thinc.types import Generator
from thinc.a... | 0 | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_config.py | test_validation_fill_defaults | assert | numeric_literal | 101 | import pytest
from typing import Iterable, Union, Optional, List, Callable, Dict
from types import GeneratorType
from pydantic import BaseModel, StrictBool, StrictFloat, PositiveInt, constr
import catalogue
import thinc.config
from thinc.config import ConfigValidationError
from thinc.types import Generator
from thinc.a... | 3 | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_config.py | test_parse_args | assert | collection | 100 | import pytest
from typing import Iterable, Union, Optional, List, Callable, Dict
from types import GeneratorType
from pydantic import BaseModel, StrictBool, StrictFloat, PositiveInt, constr
import catalogue
import thinc.config
from thinc.config import ConfigValidationError
from thinc.types import Generator
from thinc.a... | [] | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_config.py | test_partials_from_config_nested | assert | numeric_literal | 119 | import pytest
from typing import Iterable, Union, Optional, List, Callable, Dict
from types import GeneratorType
from pydantic import BaseModel, StrictBool, StrictFloat, PositiveInt, constr
import catalogue
import thinc.config
from thinc.config import ConfigValidationError
from thinc.types import Generator
from thinc.a... | 51 | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_config.py | test_make_from_config_schema_coerced | assert | numeric_literal | 108 | import pytest
from typing import Iterable, Union, Optional, List, Callable, Dict
from types import GeneratorType
from pydantic import BaseModel, StrictBool, StrictFloat, PositiveInt, constr
import catalogue
import thinc.config
from thinc.config import ConfigValidationError
from thinc.types import Generator
from thinc.a... | 5.0 | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_config.py | test_read_config | assert | numeric_literal | 102 | import pytest
from typing import Iterable, Union, Optional, List, Callable, Dict
from types import GeneratorType
from pydantic import BaseModel, StrictBool, StrictFloat, PositiveInt, constr
import catalogue
import thinc.config
from thinc.config import ConfigValidationError
from thinc.types import Generator
from thinc.a... | 0.9 | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_config.py | test_read_config | assert | numeric_literal | 103 | import pytest
from typing import Iterable, Union, Optional, List, Callable, Dict
from types import GeneratorType
from pydantic import BaseModel, StrictBool, StrictFloat, PositiveInt, constr
import catalogue
import thinc.config
from thinc.config import ConfigValidationError
from thinc.types import Generator
from thinc.a... | 0.1 | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_config.py | test_read_config | assert | numeric_literal | 105 | import pytest
from typing import Iterable, Union, Optional, List, Callable, Dict
from types import GeneratorType
from pydantic import BaseModel, StrictBool, StrictFloat, PositiveInt, constr
import catalogue
import thinc.config
from thinc.config import ConfigValidationError
from thinc.types import Generator
from thinc.a... | 128 | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_loss.py | test_L1_distance | assert | numeric_literal | 16 | import pytest
import numpy
from thinc.api import CategoricalCrossentropy, SequenceCategoricalCrossentropy
from thinc.api import L1Distance, CosineDistance
from thinc import registry
scores = numpy.zeros((3, 3), dtype="f")
labels = numpy.asarray([0, 2, 2], dtype="i")
def test_L1_distance():
vec1 = numpy.asarray([[... | 2 | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_loss.py | test_loss | assert | collection | 18 | import pytest
import numpy
from thinc.api import CategoricalCrossentropy, SequenceCategoricalCrossentropy
from thinc.api import L1Distance, CosineDistance
from thinc import registry
scores = numpy.zeros((3, 3), dtype="f")
labels = numpy.asarray([0, 2, 2], dtype="i")
def test_loss():
d_scores = CategoricalCrossent... | [] | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_loss.py | test_loss | assert | string_literal | 13 | import pytest
import numpy
from thinc.api import CategoricalCrossentropy, SequenceCategoricalCrossentropy
from thinc.api import L1Distance, CosineDistance
from thinc import registry
scores = numpy.zeros((3, 3), dtype="f")
labels = numpy.asarray([0, 2, 2], dtype="i")
def test_loss():
d_scores = CategoricalCrossent... | "float32" | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_loss.py | test_cosine_distance | assert | complex_expr | 15 | import pytest
import numpy
from thinc.api import CategoricalCrossentropy, SequenceCategoricalCrossentropy
from thinc.api import L1Distance, CosineDistance
from thinc import registry
scores = numpy.zeros((3, 3), dtype="f")
labels = numpy.asarray([0, 2, 2], dtype="i")
def test_cosine_distance():
vec1 = numpy.asarra... | vec1.shape | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_loss.py | test_loss | assert | complex_expr | 14 | import pytest
import numpy
from thinc.api import CategoricalCrossentropy, SequenceCategoricalCrossentropy
from thinc.api import L1Distance, CosineDistance
from thinc import registry
scores = numpy.zeros((3, 3), dtype="f")
labels = numpy.asarray([0, 2, 2], dtype="i")
def test_loss():
d_scores = CategoricalCrossent... | scores.shape | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_optimizers.py | test_optimizer_schedules_from_config | assert | numeric_literal | 33 | import pytest
from thinc.api import registry, Optimizer
import numpy
def _test_schedule_valid():
while True:
yield 0.456
def _test_schedule_invalid():
yield from []
def schedule_valid(request):
# Use lambda to prevent iterator from being consumed by first test
r_func, r1, r2, r3 = request.par... | 1.0 | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_optimizers.py | test_optimizer_schedules_from_config | assert | variable | 27 | import pytest
from thinc.api import registry, Optimizer
import numpy
def _test_schedule_valid():
while True:
yield 0.456
def _test_schedule_invalid():
yield from []
def schedule_valid(request):
# Use lambda to prevent iterator from being consumed by first test
r_func, r1, r2, r3 = request.par... | lr_next1 | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_optimizers.py | test_optimizer_schedules_from_config | assert | variable | 29 | import pytest
from thinc.api import registry, Optimizer
import numpy
def _test_schedule_valid():
while True:
yield 0.456
def _test_schedule_invalid():
yield from []
def schedule_valid(request):
# Use lambda to prevent iterator from being consumed by first test
r_func, r1, r2, r3 = request.par... | lr_next2 | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_optimizers.py | test_optimizer_schedules_from_config | assert | variable | 31 | import pytest
from thinc.api import registry, Optimizer
import numpy
def _test_schedule_valid():
while True:
yield 0.456
def _test_schedule_invalid():
yield from []
def schedule_valid(request):
# Use lambda to prevent iterator from being consumed by first test
r_func, r1, r2, r3 = request.par... | lr_next3 | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_optimizers.py | test_optimizers_from_config | assert | variable | 28 | import pytest
from thinc.api import registry, Optimizer
import numpy
def _test_schedule_valid():
while True:
yield 0.456
def _test_schedule_invalid():
yield from []
def schedule_valid(request):
# Use lambda to prevent iterator from being consumed by first test
r_func, r1, r2, r3 = request.par... | learn_rate | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_optimizers.py | test_optimizer_schedules_invalid | pytest.raises | variable | 24 | import pytest
from thinc.api import registry, Optimizer
import numpy
def _test_schedule_valid():
while True:
yield 0.456
def _test_schedule_invalid():
yield from []
def schedule_valid(request):
# Use lambda to prevent iterator from being consumed by first test
r_func, r1, r2, r3 = request.par... | ValueError) | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_schedules.py | test_decaying_rate | assert | numeric_literal | 11 | from thinc.api import decaying, compounding, slanted_triangular, constant_then
from thinc.api import constant, warmup_linear, cyclic_triangular
def test_decaying_rate():
rates = decaying(0.001, 1e-4)
rate = next(rates)
assert rate == 0.001
next_rate = next(rates)
assert next_rate < rate
assert... | 0 | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_schedules.py | test_compounding_rate | assert | numeric_literal | 8 | from thinc.api import decaying, compounding, slanted_triangular, constant_then
from thinc.api import constant, warmup_linear, cyclic_triangular
def test_compounding_rate():
rates = compounding(1, 16, 1.01)
rate0 = next(rates)
assert rate0 == | 1.0 | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_schedules.py | test_constant_then_schedule | assert | numeric_literal | 9 | from thinc.api import decaying, compounding, slanted_triangular, constant_then
from thinc.api import constant, warmup_linear, cyclic_triangular
def test_constant_then_schedule():
rates = constant_then(1.0, 2, [100, 200])
assert next(rates) == 1.0
assert next(rates) == 1.0
assert next(rates) == | 100 | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_schedules.py | test_constant_then_schedule | assert | numeric_literal | 10 | from thinc.api import decaying, compounding, slanted_triangular, constant_then
from thinc.api import constant, warmup_linear, cyclic_triangular
def test_constant_then_schedule():
rates = constant_then(1.0, 2, [100, 200])
assert next(rates) == 1.0
assert next(rates) == 1.0
assert next(rates) == 100
... | 200 | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_schedules.py | test_constant | assert | numeric_literal | 7 | from thinc.api import decaying, compounding, slanted_triangular, constant_then
from thinc.api import constant, warmup_linear, cyclic_triangular
def test_constant():
rates = constant(123)
assert next(rates) == | 123 | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_schedules.py | test_decaying_rate | assert | variable | 10 | from thinc.api import decaying, compounding, slanted_triangular, constant_then
from thinc.api import constant, warmup_linear, cyclic_triangular
def test_decaying_rate():
rates = decaying(0.001, 1e-4)
rate = next(rates)
assert rate == 0.001
next_rate = next(rates)
assert next_rate < | rate | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_schedules.py | test_decaying_rate | assert | numeric_literal | 8 | from thinc.api import decaying, compounding, slanted_triangular, constant_then
from thinc.api import constant, warmup_linear, cyclic_triangular
def test_decaying_rate():
rates = decaying(0.001, 1e-4)
rate = next(rates)
assert rate == | 0.001 | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_schedules.py | test_compounding_rate | assert | variable | 12 | from thinc.api import decaying, compounding, slanted_triangular, constant_then
from thinc.api import constant, warmup_linear, cyclic_triangular
def test_compounding_rate():
rates = compounding(1, 16, 1.01)
rate0 = next(rates)
assert rate0 == 1.0
rate1 = next(rates)
rate2 = next(rates)
rate3 = n... | rate2 | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_schedules.py | test_slanted_triangular_rate | assert | variable | 10 | from thinc.api import decaying, compounding, slanted_triangular, constant_then
from thinc.api import constant, warmup_linear, cyclic_triangular
def test_slanted_triangular_rate():
rates = slanted_triangular(1.0, 20.0, ratio=10)
rate0 = next(rates)
assert rate0 < 1.0
rate1 = next(rates)
assert rate... | rate0 | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_schedules.py | test_slanted_triangular_rate | assert | variable | 12 | from thinc.api import decaying, compounding, slanted_triangular, constant_then
from thinc.api import constant, warmup_linear, cyclic_triangular
def test_slanted_triangular_rate():
rates = slanted_triangular(1.0, 20.0, ratio=10)
rate0 = next(rates)
assert rate0 < 1.0
rate1 = next(rates)
assert rate1... | rate1 | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_schedules.py | test_slanted_triangular_rate | assert | variable | 14 | from thinc.api import decaying, compounding, slanted_triangular, constant_then
from thinc.api import constant, warmup_linear, cyclic_triangular
def test_slanted_triangular_rate():
rates = slanted_triangular(1.0, 20.0, ratio=10)
rate0 = next(rates)
assert rate0 < 1.0
rate1 = next(rates)
assert rate1... | rate3 | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_schedules.py | test_decaying_rate | assert | func_call | 12 | from thinc.api import decaying, compounding, slanted_triangular, constant_then
from thinc.api import constant, warmup_linear, cyclic_triangular
def test_decaying_rate():
rates = decaying(0.001, 1e-4)
rate = next(rates)
assert rate == 0.001
next_rate = next(rates)
assert next_rate < rate
assert ... | next(rates) | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_schedules.py | test_warmup_linear | assert | complex_expr | 9 | from thinc.api import decaying, compounding, slanted_triangular, constant_then
from thinc.api import constant, warmup_linear, cyclic_triangular
def test_warmup_linear():
rates = warmup_linear(1.0, 2, 10)
expected = [0.0, 0.5, 1.0, 0.875, 0.75, 0.625, 0.5, 0.375, 0.25, 0.125, 0.0]
for i in range(11):
... | expected[i] | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_schedules.py | test_compounding_rate | assert | complex_expr | 13 | from thinc.api import decaying, compounding, slanted_triangular, constant_then
from thinc.api import constant, warmup_linear, cyclic_triangular
def test_compounding_rate():
rates = compounding(1, 16, 1.01)
rate0 = next(rates)
assert rate0 == 1.0
rate1 = next(rates)
rate2 = next(rates)
rate3 = n... | rate2 - rate1 | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_serialize.py | test_pickle_with_flatten | assert | numeric_literal | 16 | import pytest
import srsly
from thinc.api import with_array, Linear, Maxout, chain, Model, Shim
from thinc.api import serialize_attr, deserialize_attr
def linear():
return Linear(5, 3)
def test_pickle_with_flatten(linear):
Xs = [linear.ops.alloc_f2d(2, 3), linear.ops.alloc_f2d(4, 3)]
model = with_array(li... | 2 | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_serialize.py | test_simple_model_roundtrip_bytes | assert | numeric_literal | 18 | import pytest
import srsly
from thinc.api import with_array, Linear, Maxout, chain, Model, Shim
from thinc.api import serialize_attr, deserialize_attr
def linear():
return Linear(5, 3)
def test_simple_model_roundtrip_bytes():
model = Maxout(5, 10, nP=2)
b = model.get_param("b")
b += 1
data = model... | 1 | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_serialize.py | test_simple_model_roundtrip_bytes_serializable_attrs | assert | string_literal | 12 | import pytest
import srsly
from thinc.api import with_array, Linear, Maxout, chain, Model, Shim
from thinc.api import serialize_attr, deserialize_attr
def linear():
return Linear(5, 3)
def test_simple_model_roundtrip_bytes_serializable_attrs():
attr = SerializableAttr()
assert attr.value == | "foo" | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_serialize.py | test_simple_model_roundtrip_bytes_serializable_attrs | assert | string_literal | 13 | import pytest
import srsly
from thinc.api import with_array, Linear, Maxout, chain, Model, Shim
from thinc.api import serialize_attr, deserialize_attr
def linear():
return Linear(5, 3)
def test_simple_model_roundtrip_bytes_serializable_attrs():
attr = SerializableAttr()
assert attr.value == "foo"
ass... | b"foo" | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_serialize.py | test_serialize_model_shims_roundtrip_bytes | assert | string_literal | 14 | import pytest
import srsly
from thinc.api import with_array, Linear, Maxout, chain, Model, Shim
from thinc.api import serialize_attr, deserialize_attr
def linear():
return Linear(5, 3)
def test_serialize_model_shims_roundtrip_bytes():
test_shim = SerializableShim(None)
shim_model = Model("shimmodel", lamb... | "shimdata" | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_serialize.py | test_serialize_refs_roundtrip_bytes | assert | collection | 17 | import pytest
import srsly
from thinc.api import with_array, Linear, Maxout, chain, Model, Shim
from thinc.api import serialize_attr, deserialize_attr
def linear():
return Linear(5, 3)
def test_serialize_refs_roundtrip_bytes():
fwd = lambda X: (X, lambda dY: dY)
model_a = Model("a", fwd)
model = Model... | ("a", "b") | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_serialize.py | test_serialize_model_shims_roundtrip_bytes | pytest.raises | variable | 16 | import pytest
import srsly
from thinc.api import with_array, Linear, Maxout, chain, Model, Shim
from thinc.api import serialize_attr, deserialize_attr
def linear():
return Linear(5, 3)
def test_serialize_model_shims_roundtrip_bytes():
test_shim = SerializableShim(None)
shim_model = Model("shimmodel", lamb... | ValueError) | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_serialize.py | test_simple_model_roundtrip_bytes_serializable_attrs | assert | string_literal | 27 | import pytest
import srsly
from thinc.api import with_array, Linear, Maxout, chain, Model, Shim
from thinc.api import serialize_attr, deserialize_attr
def linear():
return Linear(5, 3)
def test_simple_model_roundtrip_bytes_serializable_attrs():
attr = SerializableAttr()
assert attr.value == "foo"
asse... | "foo from bytes" | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_serialize.py | test_serialize_model_shims_roundtrip_bytes | assert | string_literal | 21 | import pytest
import srsly
from thinc.api import with_array, Linear, Maxout, chain, Model, Shim
from thinc.api import serialize_attr, deserialize_attr
def linear():
return Linear(5, 3)
def test_serialize_model_shims_roundtrip_bytes():
test_shim = SerializableShim(None)
shim_model = Model("shimmodel", lamb... | "shimdata from bytes" | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_types.py | test_array_validation_invalid | pytest.raises | variable | 16 | import numpy
from pydantic import create_model, ValidationError
from thinc.types import Array1d, Array2d, Array3d, Array4d, ArrayNd
import pytest
@pytest.mark.parametrize(
"arr,arr_type",
[
(numpy.zeros((0, 0), dtype=numpy.float32), Array1d),
(numpy.zeros((0, 0, 0, 0), dtype=numpy.float32), Arr... | ValidationError) | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_util.py | test_get_shuffled_batches | assert | numeric_literal | 15 | import pytest
import numpy
from thinc.api import get_width, Ragged, Padded, minibatch, get_shuffled_batches
from thinc.api import Linear, evaluate_model_on_arrays, to_categorical
from thinc.util import get_array_module, is_numpy_array, fix_random_seed
from thinc.util import convert_recursive
from thinc.types import Arg... | 2 | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_util.py | test_get_width | assert | variable | 23 | import pytest
import numpy
from thinc.api import get_width, Ragged, Padded, minibatch, get_shuffled_batches
from thinc.api import Linear, evaluate_model_on_arrays, to_categorical
from thinc.util import get_array_module, is_numpy_array, fix_random_seed
from thinc.util import convert_recursive
from thinc.types import Arg... | width | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_util.py | test_convert_recursive | assert | string_literal | 17 | import pytest
import numpy
from thinc.api import get_width, Ragged, Padded, minibatch, get_shuffled_batches
from thinc.api import Linear, evaluate_model_on_arrays, to_categorical
from thinc.util import get_array_module, is_numpy_array, fix_random_seed
from thinc.util import convert_recursive
from thinc.types import Arg... | "FOO" | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_util.py | test_to_categorical | assert | collection | 14 | import pytest
import numpy
from thinc.api import get_width, Ragged, Padded, minibatch, get_shuffled_batches
from thinc.api import Linear, evaluate_model_on_arrays, to_categorical
from thinc.util import get_array_module, is_numpy_array, fix_random_seed
from thinc.util import convert_recursive
from thinc.types import Arg... | (2, 3) | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_util.py | test_get_width_fail | pytest.raises | variable | 12 | import pytest
import numpy
from thinc.api import get_width, Ragged, Padded, minibatch, get_shuffled_batches
from thinc.api import Linear, evaluate_model_on_arrays, to_categorical
from thinc.util import get_array_module, is_numpy_array, fix_random_seed
from thinc.util import convert_recursive
from thinc.types import Arg... | ValueError) | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_util.py | test_to_categorical | assert | variable | 23 | import pytest
import numpy
from thinc.api import get_width, Ragged, Padded, minibatch, get_shuffled_batches
from thinc.api import Linear, evaluate_model_on_arrays, to_categorical
from thinc.util import get_array_module, is_numpy_array, fix_random_seed
from thinc.util import convert_recursive
from thinc.types import Arg... | expected_shape | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_util.py | test_convert_recursive | assert | collection | 22 | import pytest
import numpy
from thinc.api import get_width, Ragged, Padded, minibatch, get_shuffled_batches
from thinc.api import Linear, evaluate_model_on_arrays, to_categorical
from thinc.util import get_array_module, is_numpy_array, fix_random_seed
from thinc.util import convert_recursive
from thinc.types import Arg... | {"a": ["x", "FOO"]} | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_util.py | test_minibatch | assert | collection | 13 | import pytest
import numpy
from thinc.api import get_width, Ragged, Padded, minibatch, get_shuffled_batches
from thinc.api import Linear, evaluate_model_on_arrays, to_categorical
from thinc.util import get_array_module, is_numpy_array, fix_random_seed
from thinc.util import convert_recursive
from thinc.types import Arg... | [[1, 2, 3], [4, 5, 6]] | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_util.py | test_convert_recursive | assert | collection | 21 | import pytest
import numpy
from thinc.api import get_width, Ragged, Padded, minibatch, get_shuffled_batches
from thinc.api import Linear, evaluate_model_on_arrays, to_categorical
from thinc.util import get_array_module, is_numpy_array, fix_random_seed
from thinc.util import convert_recursive
from thinc.types import Arg... | ("FOO", [{"b": "FOO"}]) | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_util.py | test_minibatch | assert | collection | 15 | import pytest
import numpy
from thinc.api import get_width, Ragged, Padded, minibatch, get_shuffled_batches
from thinc.api import Linear, evaluate_model_on_arrays, to_categorical
from thinc.util import get_array_module, is_numpy_array, fix_random_seed
from thinc.util import convert_recursive
from thinc.types import Arg... | [[1, 2, 3], [4, 5], [6]] | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/test_util.py | test_convert_recursive | assert | collection | 18 | import pytest
import numpy
from thinc.api import get_width, Ragged, Padded, minibatch, get_shuffled_batches
from thinc.api import Linear, evaluate_model_on_arrays, to_categorical
from thinc.util import get_array_module, is_numpy_array, fix_random_seed
from thinc.util import convert_recursive
from thinc.types import Arg... | ["FOO", {"e": "FOO", "f": (1, "FOO")}] | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/util.py | assert_lists_match | assert_* | variable | 52 | import contextlib
from pathlib import Path
import tempfile
import shutil
from thinc.api import Linear, Ragged, Padded, ArgsKwargs
import numpy
import pytest
def make_tempdir():
d = Path(tempfile.mkdtemp())
yield d
shutil.rmtree(str(d))
def get_model(W_b_input, cls=Linear):
W, b, input_ = W_b_input
... | y) | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/util.py | assert_lists_match | assert | func_call | 50 | import contextlib
from pathlib import Path
import tempfile
import shutil
from thinc.api import Linear, Ragged, Padded, ArgsKwargs
import numpy
import pytest
def make_tempdir():
d = Path(tempfile.mkdtemp())
yield d
shutil.rmtree(str(d))
def get_model(W_b_input, cls=Linear):
W, b, input_ = W_b_input
... | len(Y) | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/util.py | check_input_converters | assert | variable | 81 | import contextlib
from pathlib import Path
import tempfile
import shutil
from thinc.api import Linear, Ragged, Padded, ArgsKwargs
import numpy
import pytest
def make_tempdir():
d = Path(tempfile.mkdtemp())
yield d
shutil.rmtree(str(d))
def get_model(W_b_input, cls=Linear):
W, b, input_ = W_b_input
... | n_args | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/util.py | assert_arrays_match | assert | complex_expr | 42 | import contextlib
from pathlib import Path
import tempfile
import shutil
from thinc.api import Linear, Ragged, Padded, ArgsKwargs
import numpy
import pytest
def make_tempdir():
d = Path(tempfile.mkdtemp())
yield d
shutil.rmtree(str(d))
def get_model(W_b_input, cls=Linear):
W, b, input_ = W_b_input
... | Y.dtype | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/util.py | assert_raggeds_match | assert_* | complex_expr | 59 | import contextlib
from pathlib import Path
import tempfile
import shutil
from thinc.api import Linear, Ragged, Padded, ArgsKwargs
import numpy
import pytest
def make_tempdir():
d = Path(tempfile.mkdtemp())
yield d
shutil.rmtree(str(d))
def get_model(W_b_input, cls=Linear):
W, b, input_ = W_b_input
... | Y.data) | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/util.py | assert_paddeds_match | assert | complex_expr | 66 | import contextlib
from pathlib import Path
import tempfile
import shutil
from thinc.api import Linear, Ragged, Padded, ArgsKwargs
import numpy
import pytest
def make_tempdir():
d = Path(tempfile.mkdtemp())
yield d
shutil.rmtree(str(d))
def get_model(W_b_input, cls=Linear):
W, b, input_ = W_b_input
... | Y.lengths | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/util.py | assert_paddeds_match | assert | complex_expr | 67 | import contextlib
from pathlib import Path
import tempfile
import shutil
from thinc.api import Linear, Ragged, Padded, ArgsKwargs
import numpy
import pytest
def make_tempdir():
d = Path(tempfile.mkdtemp())
yield d
shutil.rmtree(str(d))
def get_model(W_b_input, cls=Linear):
W, b, input_ = W_b_input
... | Y.indices | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/util.py | assert_arrays_match | assert | complex_expr | 44 | import contextlib
from pathlib import Path
import tempfile
import shutil
from thinc.api import Linear, Ragged, Padded, ArgsKwargs
import numpy
import pytest
def make_tempdir():
d = Path(tempfile.mkdtemp())
yield d
shutil.rmtree(str(d))
def get_model(W_b_input, cls=Linear):
W, b, input_ = W_b_input
... | Y.shape[0] | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/util.py | assert_raggeds_match | assert_* | complex_expr | 58 | import contextlib
from pathlib import Path
import tempfile
import shutil
from thinc.api import Linear, Ragged, Padded, ArgsKwargs
import numpy
import pytest
def make_tempdir():
d = Path(tempfile.mkdtemp())
yield d
shutil.rmtree(str(d))
def get_model(W_b_input, cls=Linear):
W, b, input_ = W_b_input
... | Y.lengths) | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/util.py | check_input_converters | assert | variable | 82 | import contextlib
from pathlib import Path
import tempfile
import shutil
from thinc.api import Linear, Ragged, Padded, ArgsKwargs
import numpy
import pytest
def make_tempdir():
d = Path(tempfile.mkdtemp())
yield d
shutil.rmtree(str(d))
def get_model(W_b_input, cls=Linear):
W, b, input_ = W_b_input
... | kwargs_keys | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/util.py | assert_padded_data_match | assert_* | func_call | 74 | import contextlib
from pathlib import Path
import tempfile
import shutil
from thinc.api import Linear, Ragged, Padded, ArgsKwargs
import numpy
import pytest
def make_tempdir():
d = Path(tempfile.mkdtemp())
yield d
shutil.rmtree(str(d))
def get_model(W_b_input, cls=Linear):
W, b, input_ = W_b_input
... | Padded(*Y)) | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/util.py | assert_ragged_data_match | assert_* | func_call | 77 | import contextlib
from pathlib import Path
import tempfile
import shutil
from thinc.api import Linear, Ragged, Padded, ArgsKwargs
import numpy
import pytest
def make_tempdir():
d = Path(tempfile.mkdtemp())
yield d
shutil.rmtree(str(d))
def get_model(W_b_input, cls=Linear):
W, b, input_ = W_b_input
... | Ragged(*Y)) | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/util.py | assert_paddeds_match | assert | complex_expr | 68 | import contextlib
from pathlib import Path
import tempfile
import shutil
from thinc.api import Linear, Ragged, Padded, ArgsKwargs
import numpy
import pytest
def make_tempdir():
d = Path(tempfile.mkdtemp())
yield d
shutil.rmtree(str(d))
def get_model(W_b_input, cls=Linear):
W, b, input_ = W_b_input
... | Y.data.dtype | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/util.py | assert_paddeds_match | assert_* | complex_expr | 65 | import contextlib
from pathlib import Path
import tempfile
import shutil
from thinc.api import Linear, Ragged, Padded, ArgsKwargs
import numpy
import pytest
def make_tempdir():
d = Path(tempfile.mkdtemp())
yield d
shutil.rmtree(str(d))
def get_model(W_b_input, cls=Linear):
W, b, input_ = W_b_input
... | Y.size_at_t) | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
explosion/thinc | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | train | train | thinc/tests/util.py | assert_paddeds_match | assert | complex_expr | 69 | import contextlib
from pathlib import Path
import tempfile
import shutil
from thinc.api import Linear, Ragged, Padded, ArgsKwargs
import numpy
import pytest
def make_tempdir():
d = Path(tempfile.mkdtemp())
yield d
shutil.rmtree(str(d))
def get_model(W_b_input, cls=Linear):
W, b, input_ = W_b_input
... | Y.data.shape[1] | 5591db91ff8e538ef16cbcd73f189eb83d60762b | 247 | v2_extractor_at_anchor |
eyurtsev/kor | 7291946816782a70d2514445229a710eddcd7060 | 46 | train | train | tests/documents/test_html.py | test_markdownify_html_preprocessor | assert | variable | 45 | from typing import Optional, Tuple
import pytest
from langchain.schema import Document
from kor.documents.html import MarkdownifyHTMLProcessor
@pytest.mark.parametrize(
"tags,expected",
[
(None, "Title\n\nTest"), # Use default
(tuple(), "Title\nSvg\nStyle\nScript\n\nTest"),
(("title"... | expected | 7291946816782a70d2514445229a710eddcd7060 | 46 | v2_extractor_at_anchor |
eyurtsev/kor | 7291946816782a70d2514445229a710eddcd7060 | 46 | train | train | tests/documents/test_html.py | test_markdownify_html_preprocessor | assert | collection | 46 | from typing import Optional, Tuple
import pytest
from langchain.schema import Document
from kor.documents.html import MarkdownifyHTMLProcessor
@pytest.mark.parametrize(
"tags,expected",
[
(None, "Title\n\nTest"), # Use default
(tuple(), "Title\nSvg\nStyle\nScript\n\nTest"),
(("title"... | {"a": 1} | 7291946816782a70d2514445229a710eddcd7060 | 46 | v2_extractor_at_anchor |
eyurtsev/kor | 7291946816782a70d2514445229a710eddcd7060 | 46 | train | train | tests/extraction/test_extraction_from_documents.py | test_extract_from_documents_with_extraction_uid_function | assert | string_literal | 51 | import asyncio
from typing import List
import pytest
from langchain.docstore.document import Document
from kor import (
DocumentExtraction,
Object,
Text,
create_extraction_chain,
extract_from_documents,
)
from ..utils import ToyChatModel
SIMPLE_TEXT_SCHEMA = Text(
id="text_node",
descrip... | "a!" | 7291946816782a70d2514445229a710eddcd7060 | 46 | v2_extractor_at_anchor |
eyurtsev/kor | 7291946816782a70d2514445229a710eddcd7060 | 46 | train | train | tests/extraction/test_extraction_from_documents.py | test_check_assertion_is_raised_when_using_missing_uuid | pytest.raises | variable | 35 | import asyncio
from typing import List
import pytest
from langchain.docstore.document import Document
from kor import (
DocumentExtraction,
Object,
Text,
create_extraction_chain,
extract_from_documents,
)
from ..utils import ToyChatModel
SIMPLE_TEXT_SCHEMA = Text(
id="text_node",
descrip... | ValueError) | 7291946816782a70d2514445229a710eddcd7060 | 46 | v2_extractor_at_anchor |
eyurtsev/kor | 7291946816782a70d2514445229a710eddcd7060 | 46 | train | train | tests/extraction/test_extraction_from_documents.py | test_extract_from_documents | assert | variable | 95 | import asyncio
from typing import List
import pytest
from langchain.docstore.document import Document
from kor import (
DocumentExtraction,
Object,
Text,
create_extraction_chain,
extract_from_documents,
)
from ..utils import ToyChatModel
SIMPLE_TEXT_SCHEMA = Text(
id="text_node",
descrip... | expected_results | 7291946816782a70d2514445229a710eddcd7060 | 46 | v2_extractor_at_anchor |
eyurtsev/kor | 7291946816782a70d2514445229a710eddcd7060 | 46 | train | train | tests/extraction/test_extraction_with_chain.py | test_using_custom_template | assert | variable | 43 | from typing import Any, Mapping, Optional
import langchain
import pytest
from langchain import PromptTemplate
from langchain.chains import LLMChain
from kor.encoders import CSVEncoder, JSONEncoder
from kor.extraction import create_extraction_chain
from kor.nodes import Object, Text
from tests.utils import ToyChatMode... | string_value | 7291946816782a70d2514445229a710eddcd7060 | 46 | v2_extractor_at_anchor |
eyurtsev/kor | 7291946816782a70d2514445229a710eddcd7060 | 46 | train | train | tests/extraction/test_extraction_with_chain.py | test_instantiation_with_verbose_flag | assert | variable | 37 | from typing import Any, Mapping, Optional
import langchain
import pytest
from langchain import PromptTemplate
from langchain.chains import LLMChain
from kor.encoders import CSVEncoder, JSONEncoder
from kor.extraction import create_extraction_chain
from kor.nodes import Object, Text
from tests.utils import ToyChatMode... | expected_verbose | 7291946816782a70d2514445229a710eddcd7060 | 46 | v2_extractor_at_anchor |
eyurtsev/kor | 7291946816782a70d2514445229a710eddcd7060 | 46 | train | train | tests/extraction/test_extraction_with_chain.py | test_not_implemented_assertion_raised_for_csv | pytest.raises | variable | 38 | from typing import Any, Mapping, Optional
import langchain
import pytest
from langchain import PromptTemplate
from langchain.chains import LLMChain
from kor.encoders import CSVEncoder, JSONEncoder
from kor.extraction import create_extraction_chain
from kor.nodes import Object, Text
from tests.utils import ToyChatMode... | NotImplementedError) | 7291946816782a70d2514445229a710eddcd7060 | 46 | v2_extractor_at_anchor |
eyurtsev/kor | 7291946816782a70d2514445229a710eddcd7060 | 46 | train | train | tests/extraction/test_extraction_with_chain.py | test_using_custom_template | assert | complex_expr | 45 | from typing import Any, Mapping, Optional
import langchain
import pytest
from langchain import PromptTemplate
from langchain.chains import LLMChain
from kor.encoders import CSVEncoder, JSONEncoder
from kor.extraction import create_extraction_chain
from kor.nodes import Object, Text
from tests.utils import ToyChatMode... | system_message.content | 7291946816782a70d2514445229a710eddcd7060 | 46 | v2_extractor_at_anchor |
eyurtsev/kor | 7291946816782a70d2514445229a710eddcd7060 | 46 | train | train | tests/test_adapters.py | test_convert_pydantic_with_complex_union | pytest.raises | variable | 25 | import enum
from typing import List, Union
import pydantic
import pytest
from pydantic.fields import Field
from kor.adapters import _translate_pydantic_to_kor, from_pydantic
from kor.nodes import Number, Object, Option, Optional, Selection, Text
def test_convert_pydantic_with_complex_union() -> None:
"""Test beh... | NotImplementedError) | 7291946816782a70d2514445229a710eddcd7060 | 46 | v2_extractor_at_anchor |
eyurtsev/kor | 7291946816782a70d2514445229a710eddcd7060 | 46 | train | train | tests/test_adapters.py | test_from_pydantic | assert | collection | 22 | import enum
from typing import List, Union
import pydantic
import pytest
from pydantic.fields import Field
from kor.adapters import _translate_pydantic_to_kor, from_pydantic
from kor.nodes import Number, Object, Option, Optional, Selection, Text
def test_from_pydantic() -> None:
"""Test from pydantic function.""... | (Toy(a="hello", b=5), []) | 7291946816782a70d2514445229a710eddcd7060 | 46 | v2_extractor_at_anchor |
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