language stringclasses 1
value | repo stringclasses 346
values | path stringlengths 6 201 | class_span dict | source stringlengths 21 2.38M | target stringlengths 1 96 |
|---|---|---|---|---|---|
python | pyqtgraph__pyqtgraph | pyqtgraph/imageview/ImageView.py | {
"start": 1290,
"end": 1523
} | class ____(ROI):
def __init__(self, size):
ROI.__init__(self, pos=[0,0], size=size) #, scaleSnap=True, translateSnap=True)
self.addScaleHandle([1, 1], [0, 0])
self.addRotateHandle([0, 0], [0.5, 0.5])
| PlotROI |
python | pandas-dev__pandas | asv_bench/benchmarks/frame_ctor.py | {
"start": 3345,
"end": 3817
} | class ____:
def setup(self):
self.nrows = 100_000
def time_frame_from_scalar_ea_float64(self):
DataFrame(
1.0,
index=range(self.nrows),
columns=list("abc"),
dtype=Float64Dtype(),
)
def time_frame_from_scalar_ea_float64_na(self):
... | FromScalar |
python | optuna__optuna | optuna/storages/_rdb/alembic/versions/v2.4.0.a.py | {
"start": 2070,
"end": 6407
} | class ____(BaseModel):
__tablename__ = "trial_intermediate_values"
__table_args__: Any = (UniqueConstraint("trial_id", "step"),)
trial_intermediate_value_id = Column(Integer, primary_key=True)
trial_id = Column(Integer, ForeignKey("trials.trial_id"), nullable=False)
step = Column(Integer, nullable=F... | TrialIntermediateValueModel |
python | pandas-dev__pandas | pandas/tests/indexes/test_any_index.py | {
"start": 4842,
"end": 5041
} | class ____:
def test_str(self, index):
# test the string repr
index.name = "foo"
assert "'foo'" in str(index)
assert type(index).__name__ in str(index)
| TestRendering |
python | mlflow__mlflow | tests/tracing/test_fluent.py | {
"start": 1362,
"end": 1793
} | class ____:
@mlflow.trace()
def predict(self, x, y):
z = x + y
z = self.add_one(z)
z = mlflow.trace(self.square)(z)
return z # noqa: RET504
@mlflow.trace(span_type=SpanType.LLM, name="add_one_with_custom_name", attributes={"delta": 1})
def add_one(self, z):
retu... | DefaultTestModel |
python | ray-project__ray | python/ray/tune/examples/cifar10_pytorch.py | {
"start": 1623,
"end": 9332
} | class ____(nn.Module):
def __init__(self, l1=120, l2=84):
super(Net, self).__init__()
self.conv1 = nn.Conv2d(3, 6, 5)
self.pool = nn.MaxPool2d(2, 2)
self.conv2 = nn.Conv2d(6, 16, 5)
self.fc1 = nn.Linear(16 * 5 * 5, l1)
self.fc2 = nn.Linear(l1, l2)
self.fc3 = n... | Net |
python | wandb__wandb | wandb/vendor/pygments/lexers/pascal.py | {
"start": 666,
"end": 26923
} | class ____(Lexer):
"""
For `Delphi <http://www.borland.com/delphi/>`_ (Borland Object Pascal),
Turbo Pascal and Free Pascal source code.
Additional options accepted:
`turbopascal`
Highlight Turbo Pascal specific keywords (default: ``True``).
`delphi`
Highlight Borland Delphi sp... | DelphiLexer |
python | numpy__numpy | numpy/testing/tests/test_utils.py | {
"start": 1956,
"end": 11302
} | class ____(_GenericTest):
def _assert_func(self, *args, **kwargs):
assert_array_equal(*args, **kwargs)
def test_generic_rank1(self):
"""Test rank 1 array for all dtypes."""
def foo(t):
a = np.empty(2, t)
a.fill(1)
b = a.copy()
c = a.copy(... | TestArrayEqual |
python | huggingface__transformers | src/transformers/models/pvt/modeling_pvt.py | {
"start": 13963,
"end": 17787
} | class ____(nn.Module):
def __init__(self, config: PvtConfig):
super().__init__()
self.config = config
# stochastic depth decay rule
drop_path_decays = torch.linspace(0, config.drop_path_rate, sum(config.depths), device="cpu").tolist()
# patch embeddings
embeddings =... | PvtEncoder |
python | scipy__scipy | benchmarks/benchmarks/integrate.py | {
"start": 3504,
"end": 3878
} | class ____(Benchmark):
def setup(self) -> None:
x, self.dx = np.linspace(0, 5, 1000, retstep=True)
self.y = np.sin(2*np.pi*x)
self.y2 = np.tile(self.y, (100, 100, 1))
def time_1d(self) -> None:
cumulative_simpson(self.y, dx=self.dx)
def time_multid(self) -> None:
c... | CumulativeSimpson |
python | doocs__leetcode | solution/1000-1099/1072.Flip Columns For Maximum Number of Equal Rows/Solution.py | {
"start": 0,
"end": 267
} | class ____:
def maxEqualRowsAfterFlips(self, matrix: List[List[int]]) -> int:
cnt = Counter()
for row in matrix:
t = tuple(row) if row[0] == 0 else tuple(x ^ 1 for x in row)
cnt[t] += 1
return max(cnt.values())
| Solution |
python | catalyst-team__catalyst | catalyst/metrics/_segmentation.py | {
"start": 18063,
"end": 23214
} | class ____(RegionBasedMetric):
"""
Trevsky Metric,
trevsky score = tp / (tp + fp * beta + fn * alpha)
Args:
alpha: false negative coefficient, bigger alpha bigger penalty for
false negative. if beta is None, alpha must be in (0, 1)
beta: false positive coefficient, bigger al... | TrevskyMetric |
python | kamyu104__LeetCode-Solutions | Python/maximum-69-number.py | {
"start": 32,
"end": 387
} | class ____(object):
def maximum69Number (self, num):
"""
:type num: int
:rtype: int
"""
curr, base, change = num, 3, 0
while curr:
if curr%10 == 6:
change = base
base *= 10
curr //= 10
return num+change
# T... | Solution |
python | HypothesisWorks__hypothesis | hypothesis-python/tests/cover/test_lookup.py | {
"start": 4348,
"end": 5770
} | class ____:
pass
@pytest.mark.parametrize(
"typ,coll_type",
[
(_Set[Elem], set),
(_FrozenSet[Elem], frozenset),
(_Dict[Elem, None], dict),
(set[Elem], set),
(frozenset[Elem], frozenset),
# (dict[Elem, None], dict), # FIXME this should work
(typing.D... | Elem |
python | PrefectHQ__prefect | src/integrations/prefect-github/prefect_github/schemas/graphql_schema.py | {
"start": 205544,
"end": 205899
} | class ____(sgqlc.types.Type):
"""
See source code for more info.
"""
__schema__ = graphql_schema
__field_names__ = ("client_mutation_id", "repository")
client_mutation_id = sgqlc.types.Field(String, graphql_name="clientMutationId")
repository = sgqlc.types.Field("Repository", graphql_name="... | ArchiveRepositoryPayload |
python | microsoft__pyright | packages/pyright-internal/src/tests/samples/protocol53.py | {
"start": 3809,
"end": 3899
} | class ____(Proto_ContraSelf):
def m(self, x: Self) -> None: ...
| Impl_ContraSelfExplicit2 |
python | rapidsai__cudf | python/cudf_polars/cudf_polars/dsl/expressions/selection.py | {
"start": 1941,
"end": 2674
} | class ____(Expr):
__slots__ = ()
_non_child = ("dtype",)
def __init__(self, dtype: DataType, values: Expr, indices: Expr):
self.dtype = dtype
self.children = (values, indices)
self.is_pointwise = False
def do_evaluate(
self, df: DataFrame, *, context: ExecutionContext =... | Filter |
python | RaRe-Technologies__gensim | gensim/test/test_text_analysis.py | {
"start": 4952,
"end": 5075
} | class ____(BaseTestCases.TextAnalyzerTestBase):
accumulator_cls = WordOccurrenceAccumulator
| TestWordOccurrenceAccumulator |
python | PyCQA__flake8 | src/flake8/exceptions.py | {
"start": 345,
"end": 980
} | class ____(Flake8Exception):
"""Exception raised when a plugin fails to load."""
FORMAT = 'Flake8 failed to load plugin "%(name)s" due to %(exc)s.'
def __init__(self, plugin_name: str, exception: Exception) -> None:
"""Initialize our FailedToLoadPlugin exception."""
self.plugin_name = plug... | FailedToLoadPlugin |
python | qdrant__qdrant-client | qdrant_client/http/models/models.py | {
"start": 21844,
"end": 21962
} | class ____(BaseModel, extra="forbid"):
create_alias: "CreateAlias" = Field(..., description="")
| CreateAliasOperation |
python | gevent__gevent | src/gevent/tests/test__order.py | {
"start": 704,
"end": 742
} | class ____(Test):
count = 1000
| TestM |
python | pytorch__pytorch | test/inductor/test_fxir_backend.py | {
"start": 27649,
"end": 40917
} | class ____(InductorTestCase):
device = GPU_TYPE
def check(
self, model, inp, dynamic_shapes=None, strict=False
) -> torch.fx.GraphModule:
with torch.no_grad():
ep = torch.export.export(
model, inp, dynamic_shapes=dynamic_shapes, strict=strict
)
... | AOTFxirTestCase |
python | dagster-io__dagster | examples/docs_snippets/docs_snippets/concepts/ops_jobs_graphs/graph_provides_config.py | {
"start": 23,
"end": 144
} | class ____(dg.Config):
n: float
@dg.op
def add_n(config: AddNConfig, number):
return number + config.n
| AddNConfig |
python | gevent__gevent | src/gevent/tests/test__signal.py | {
"start": 285,
"end": 3813
} | class ____(greentest.TestCase):
error_fatal = False
__timeout__ = greentest.LARGE_TIMEOUT
def test_handler(self):
with self.assertRaises(TypeError):
gevent.signal_handler(signal.SIGALRM, 1)
def test_alarm(self):
sig = gevent.signal_handler(signal.SIGALRM, raise_Expected)
... | TestSignal |
python | bokeh__bokeh | src/bokeh/models/widgets/inputs.py | {
"start": 9630,
"end": 10038
} | class ____(Widget):
""" Base class for toggleable (boolean) input widgets. """
# explicit __init__ to support Init signatures
def __init__(self, *args: Any, **kwargs: Any) -> None:
super().__init__(*args, **kwargs)
active = Bool(default=False, help="""
The state of the widget.
""")
... | ToggleInput |
python | zarr-developers__zarr-python | src/zarr/core/dtype/npy/string.py | {
"start": 986,
"end": 1259
} | class ____(TypedDict):
"""
Configuration for a fixed-length string data type in Zarr V3.
Attributes
----------
length_bytes : int
The length in bytes of the data associated with this configuration.
"""
length_bytes: int
| LengthBytesConfig |
python | doocs__leetcode | lcof2/剑指 Offer II 115. 重建序列/Solution.py | {
"start": 0,
"end": 633
} | class ____:
def sequenceReconstruction(
self, nums: List[int], sequences: List[List[int]]
) -> bool:
n = len(nums)
g = [[] for _ in range(n)]
indeg = [0] * n
for seq in sequences:
for a, b in pairwise(seq):
a, b = a - 1, b - 1
g... | Solution |
python | getsentry__sentry | src/sentry/sentry_metrics/consumers/indexer/parallel.py | {
"start": 1297,
"end": 2751
} | class ____(ProcessingStep[Union[FilteredPayload, IndexerOutputMessageBatch]]):
def __init__(
self,
next_step: ProcessingStep[KafkaPayload | RoutingPayload | InvalidMessage | FilteredPayload],
) -> None:
self.__next_step = next_step
self.__closed = False
self.__messages: D... | Unbatcher |
python | Netflix__metaflow | metaflow/_vendor/click/exceptions.py | {
"start": 284,
"end": 1076
} | class ____(Exception):
"""An exception that Click can handle and show to the user."""
#: The exit code for this exception
exit_code = 1
def __init__(self, message):
ctor_msg = message
if PY2:
if ctor_msg is not None:
ctor_msg = ctor_msg.encode("utf-8")
... | ClickException |
python | tensorflow__tensorflow | tensorflow/python/distribute/collective_util.py | {
"start": 1071,
"end": 1866
} | class ____(enum.Enum):
"""Cross device communication implementation.
Warning: The alias `tf.distribute.experimental.CollectiveCommunication` is
deprecated and will be removed in a future version. Use
`tf.distribute.experimental.CommunicationImplementation` instead.
* `AUTO`: Automatically chosen by Tensorfl... | CommunicationImplementation |
python | django__django | tests/composite_pk/test_order_by.py | {
"start": 109,
"end": 2372
} | class ____(TestCase):
maxDiff = None
@classmethod
def setUpTestData(cls):
cls.tenant_1 = Tenant.objects.create()
cls.tenant_2 = Tenant.objects.create()
cls.tenant_3 = Tenant.objects.create()
cls.user_1 = User.objects.create(
tenant=cls.tenant_1,
id=1,... | CompositePKOrderByTests |
python | doocs__leetcode | solution/1500-1599/1547.Minimum Cost to Cut a Stick/Solution2.py | {
"start": 0,
"end": 436
} | class ____:
def minCost(self, n: int, cuts: List[int]) -> int:
cuts.extend([0, n])
cuts.sort()
m = len(cuts)
f = [[0] * m for _ in range(m)]
for i in range(m - 1, -1, -1):
for j in range(i + 2, m):
f[i][j] = inf
for k in range(i + 1... | Solution |
python | openai__openai-python | src/openai/resources/responses/responses.py | {
"start": 158207,
"end": 160326
} | class ____:
def __init__(self, responses: AsyncResponses) -> None:
self._responses = responses
self.create = async_to_streamed_response_wrapper(
responses.create,
)
self.retrieve = async_to_streamed_response_wrapper(
responses.retrieve,
)
self... | AsyncResponsesWithStreamingResponse |
python | ansible__ansible | test/lib/ansible_test/_internal/completion.py | {
"start": 3117,
"end": 4105
} | class ____(CompletionConfig):
"""Base class for completion configuration of remote environments provisioned through Ansible Core CI."""
provider: t.Optional[str] = None
arch: t.Optional[str] = None
@property
def platform(self) -> str:
"""The name of the platform."""
return self.nam... | RemoteCompletionConfig |
python | sphinx-doc__sphinx | tests/roots/test-ext-coverage/grog/coverage_missing.py | {
"start": 53,
"end": 165
} | class ____:
"""An undocumented class."""
def missing_a(self):
"""An undocumented method."""
| Missing |
python | numba__numba | numba/cuda/tests/cudapy/test_frexp_ldexp.py | {
"start": 315,
"end": 2024
} | class ____(CUDATestCase):
def template_test_frexp(self, nptype, nbtype):
compiled = cuda.jit(void(nbtype[:], int32[:], nbtype))(simple_frexp)
arg = 3.1415
aryx = np.zeros(1, dtype=nptype)
aryexp = np.zeros(1, dtype=np.int32)
compiled[1, 1](aryx, aryexp, arg)
np.testin... | TestCudaFrexpLdexp |
python | huggingface__transformers | src/transformers/models/markuplm/modeling_markuplm.py | {
"start": 10214,
"end": 10881
} | class ____(nn.Module):
def __init__(self, config):
super().__init__()
self.dense = nn.Linear(config.hidden_size, config.hidden_size)
self.activation = nn.Tanh()
def forward(self, hidden_states: torch.Tensor) -> torch.Tensor:
# We "pool" the model by simply taking the hidden stat... | MarkupLMPooler |
python | apache__airflow | providers/amazon/tests/unit/amazon/aws/waiters/test_bedrock.py | {
"start": 6185,
"end": 7583
} | class ____(TestBedrockCustomWaitersBase):
WAITER_NAME = "batch_inference_scheduled"
SENSOR = BedrockBatchInferenceSensor(
task_id="task_id",
job_arn="job_arn",
success_state=BedrockBatchInferenceSensor.SuccessState.SCHEDULED,
)
@pytest.fixture
def mock_get_job(self):
... | TestBatchInferenceScheduledWaiter |
python | sqlalchemy__sqlalchemy | lib/sqlalchemy/event/base.py | {
"start": 12187,
"end": 13914
} | class ____(_HasEventsDispatch[_ET]):
"""Define event listening functions for a particular target type."""
@classmethod
def _accept_with(
cls, target: Union[_ET, Type[_ET]], identifier: str
) -> Optional[Union[_ET, Type[_ET]]]:
def dispatch_is(*types: Type[Any]) -> bool:
retu... | Events |
python | apache__airflow | providers/ftp/src/airflow/providers/ftp/hooks/ftp.py | {
"start": 1047,
"end": 9857
} | class ____(BaseHook):
"""
Interact with FTP.
Errors that may occur throughout but should be handled downstream.
You can specify mode for data transfers in the extra field of your
connection as ``{"passive": "true"}``.
You can also specify encoding for the FTP connection as ``{"encoding": "cp125... | FTPHook |
python | huggingface__transformers | src/transformers/models/bert_generation/modeling_bert_generation.py | {
"start": 12542,
"end": 13252
} | class ____(nn.Module):
def __init__(self, config):
super().__init__()
self.dense = nn.Linear(config.intermediate_size, config.hidden_size)
self.LayerNorm = nn.LayerNorm(config.hidden_size, eps=config.layer_norm_eps)
self.dropout = nn.Dropout(config.hidden_dropout_prob)
def forwa... | BertGenerationOutput |
python | matplotlib__matplotlib | lib/matplotlib/colors.py | {
"start": 80071,
"end": 82001
} | class ____(BivarColormap):
"""
BivarColormap object generated by supersampling a regular grid.
Parameters
----------
patch : np.array
Patch is required to have a shape (k, l, 3), and will get supersampled
to a lut of shape (N, N, 4).
N : int
The number of RGB quantizatio... | SegmentedBivarColormap |
python | microsoft__pyright | packages/pyright-internal/src/tests/samples/typedDictClosed8.py | {
"start": 273,
"end": 773
} | class ____(TypedDict, extra_items="str | int | Typed | Named"):
name: str
td2_1: Named = {
"name": "Fred",
"birth": {
"type": "date",
"year": 2000,
"month": 12,
"day": 31,
},
}
td2_2: Named = {
"name": "Fred",
"extra": {
"name": "test",
"value":... | Named |
python | pypa__warehouse | tests/conftest.py | {
"start": 21830,
"end": 23598
} | class ____(_webtest.TestApp):
def xmlrpc(self, path, method, *args):
body = xmlrpc.client.dumps(args, methodname=method)
resp = self.post(path, body, headers={"Content-Type": "text/xml"})
return xmlrpc.client.loads(resp.body)
@pytest.fixture
def tm():
# Create a new transaction manager... | _TestApp |
python | getsentry__sentry | tests/sentry/integrations/bitbucket/test_repository.py | {
"start": 564,
"end": 5865
} | class ____(TestCase):
def setUp(self) -> None:
super().setUp()
self.base_url = "https://api.bitbucket.org"
self.shared_secret = "234567890"
self.subject = "connect:1234567"
self.integration, _ = self.create_provider_integration_for(
self.organization,
... | BitbucketRepositoryProviderTest |
python | donnemartin__interactive-coding-challenges | graphs_trees/graph_shortest_path/test_shortest_path.py | {
"start": 18,
"end": 1321
} | class ____(unittest.TestCase):
def test_shortest_path(self):
graph = Graph()
graph.add_edge('a', 'b', weight=5)
graph.add_edge('a', 'c', weight=3)
graph.add_edge('a', 'e', weight=2)
graph.add_edge('b', 'd', weight=2)
graph.add_edge('c', 'b', weight=1)
graph.a... | TestShortestPath |
python | pytorch__pytorch | torch/testing/_internal/common_quantization.py | {
"start": 70885,
"end": 71396
} | class ____(torch.nn.Module):
def __init__(self, with_bn=True):
super().__init__()
self.linear = nn.Linear(5, 5)
self.bn1d = nn.BatchNorm1d(5)
self.leaky_relu = nn.LeakyReLU(0.01)
self.with_bn = with_bn
def forward(self, x):
x = self.linear(x)
if self.with... | LinearBnLeakyReluModel |
python | Pylons__pyramid | src/pyramid/httpexceptions.py | {
"start": 17275,
"end": 17631
} | class ____(_HTTPMove):
"""
subclass of :class:`~_HTTPMove`
This indicates that the requested resource has been assigned a new
permanent URI and any future references to this resource SHOULD use
one of the returned URIs.
code: 301, title: Moved Permanently
"""
code = 301
title = 'M... | HTTPMovedPermanently |
python | apache__airflow | providers/google/tests/unit/google/cloud/operators/test_datacatalog.py | {
"start": 23819,
"end": 25182
} | class ____:
@mock.patch(
"airflow.providers.google.cloud.operators.datacatalog.CloudDataCatalogHook",
**{"return_value.get_entry.return_value": TEST_ENTRY},
)
def test_assert_valid_hook_call(self, mock_hook) -> None:
with pytest.warns(AirflowProviderDeprecationWarning):
t... | TestCloudDataCatalogGetEntryOperator |
python | huggingface__transformers | tests/models/llava_next_video/test_processing_llava_next_video.py | {
"start": 958,
"end": 5127
} | class ____(ProcessorTesterMixin, unittest.TestCase):
processor_class = LlavaNextVideoProcessor
@classmethod
def _setup_tokenizer(cls):
tokenizer_class = cls._get_component_class_from_processor("tokenizer")
tokenizer = tokenizer_class.from_pretrained("llava-hf/LLaVA-NeXT-Video-7B-hf")
... | LlavaNextVideoProcessorTest |
python | tensorflow__tensorflow | tensorflow/python/keras/engine/keras_tensor.py | {
"start": 18032,
"end": 20845
} | class ____(KerasTensor):
"""A specialized KerasTensor representation for `tf.RaggedTensor`s.
Specifically, it:
1. Specializes the conversion to a placeholder in order
to maintain shape information for non-ragged dimensions.
2. Overloads the KerasTensor's operators with the RaggedTensor versions
when they ... | RaggedKerasTensor |
python | PrefectHQ__prefect | tests/server/models/test_filters.py | {
"start": 22211,
"end": 27808
} | class ____:
params = [
[{}, 10],
[dict(flow_filter=filters.FlowFilter(name=dict(any_=["f-1", "f-2"]))), 6],
[dict(flow_filter=filters.FlowFilter(name=dict(any_=["f-1", "f-100"]))), 3],
[dict(flow_filter=filters.FlowFilter(name=dict(any_=["f-1"]))), 3],
[dict(flow_filter=filte... | TestCountTaskRunsModels |
python | ipython__ipython | IPython/lib/pretty.py | {
"start": 14965,
"end": 15057
} | class ____:
def output(self, stream, output_width):
return output_width
| Printable |
python | ray-project__ray | doc/external/test_hashes.py | {
"start": 152,
"end": 1304
} | class ____(TypedDict):
file: str
digest: str
ref: str
# Files here are referenced on external pages as examples, and are tested
# to make sure exteranl referenced Ray examples are working with latest version
# of Ray. If you need to make changes, make sure to update the external examples
# too, and then u... | ExternalDoc |
python | getsentry__sentry | src/sentry/api/serializers/models/event.py | {
"start": 21034,
"end": 23552
} | class ____(EventSerializer):
"""
Simple event serializer that renders a basic outline of an event without
most interfaces/breadcrumbs. This can be used for basic event list queries
where we don't need the full detail. The side effect is that, if the
serialized events are actually SnubaEvents, we can... | SimpleEventSerializer |
python | pyca__cryptography | tests/hazmat/primitives/test_hkdf.py | {
"start": 527,
"end": 5834
} | class ____:
def test_overflow_protection_enormous_digest_size(self, backend):
enormous_digest_size = sys.maxsize >> 3
dummy_hash = DummyHashAlgorithm(enormous_digest_size)
with pytest.raises(
ValueError, match="Digest size too large, would cause overflow"
):
... | TestHKDF |
python | python-openxml__python-docx | tests/text/test_paragraph.py | {
"start": 593,
"end": 14793
} | class ____:
"""Unit-test suite for `docx.text.run.Paragraph`."""
@pytest.mark.parametrize(
("p_cxml", "expected_value"),
[
("w:p/w:r", False),
('w:p/w:r/w:t"foobar"', False),
('w:p/w:hyperlink/w:r/(w:t"abc",w:lastRenderedPageBreak,w:t"def")', True),
... | DescribeParagraph |
python | skorch-dev__skorch | skorch/hf.py | {
"start": 22855,
"end": 29739
} | class ____(_HuggingfaceTokenizerBase):
"""Wraps a pretrained Huggingface tokenizer to work as an sklearn
transformer
From the `tokenizers docs
<https://huggingface.co/docs/tokenizers/python/latest/index.html>`_:
::
🤗 Tokenizers provides an implementation of today’s most used
toke... | HuggingfacePretrainedTokenizer |
python | microsoft__pyright | packages/pyright-internal/src/tests/samples/typedDictReadOnly1.py | {
"start": 637,
"end": 746
} | class ____(TypedDict):
a: Required[int]
b: ReadOnly[NotRequired[int]]
c: ReadOnly[Required[int]]
| F1 |
python | scipy__scipy | scipy/special/tests/test_basic.py | {
"start": 34365,
"end": 39193
} | class ____:
def test_airy(self):
# This tests the airy function to ensure 8 place accuracy in computation
x = special.airy(.99)
assert_allclose(x, array([0.13689066, -0.16050153, 1.19815925, 0.92046818]),
atol=1.5e-8, rtol=0)
x = special.airy(.41)
ass... | TestAiry |
python | pytorch__pytorch | test/test_mps.py | {
"start": 24038,
"end": 26432
} | class ____(TestCaseMPS):
def _npRelu(self, np_features):
return np.maximum(np_features, np.zeros(np_features.shape)).astype(np_features.dtype)
def testNpRelu(self):
torch.testing.assert_close(
np.array([[0., 0.7, 0.0, 0.3, 0.0], [0.1, 0.0, 0.5, 0.0, 0.9]]),
self._npRelu(... | MPSReluTest |
python | falconry__falcon | examples/things_advanced.py | {
"start": 2134,
"end": 2749
} | class ____:
def process_request(self, req, resp):
if not req.client_accepts_json:
raise falcon.HTTPNotAcceptable(
description='This API only supports responses encoded as JSON.',
href='http://docs.examples.com/api/json',
)
if req.method in ('P... | RequireJSON |
python | pypa__pipenv | pipenv/patched/pip/_internal/utils/temp_dir.py | {
"start": 998,
"end": 2086
} | class ____:
"""Manages temp directory behavior"""
def __init__(self) -> None:
self._should_delete: Dict[str, bool] = {}
def set_delete(self, kind: str, value: bool) -> None:
"""Indicate whether a TempDirectory of the given kind should be
auto-deleted.
"""
self._shou... | TempDirectoryTypeRegistry |
python | pydata__xarray | asv_bench/benchmarks/rolling.py | {
"start": 3486,
"end": 4352
} | class ____(RollingMemory):
@parameterized(["func", "use_bottleneck"], (["sum", "max", "mean"], [True, False]))
def peakmem_ndrolling_reduce(self, func, use_bottleneck):
with xr.set_options(use_bottleneck=use_bottleneck):
roll = self.ds.var1.rolling(x=10, y=4)
getattr(roll, func)(... | DataArrayRollingMemory |
python | great-expectations__great_expectations | tests/integration/data_sources_and_expectations/expectations/test_expect_column_values_to_be_between.py | {
"start": 6880,
"end": 13735
} | class ____:
# expect a standard error message, but exclude the column type string, which is backend specific
EXPECTED_ERROR = "ColumnValuesBetween metrics cannot be computed on column of type"
@parameterize_batch_for_data_sources(
data_source_configs=SQL_DATA_SOURCES,
data=DATA,
)
d... | TestColumnValuesBetweenAgainstInvalidColumn |
python | sphinx-doc__sphinx | sphinx/builders/_epub_base.py | {
"start": 2322,
"end": 2391
} | class ____(NamedTuple):
type: str
title: str
uri: str
| Guide |
python | python__mypy | mypy/test/teststubgen.py | {
"start": 33072,
"end": 57376
} | class ____(unittest.TestCase):
"""Unit tests for stub generation from C modules using introspection.
Note that these don't cover a lot!
"""
def test_infer_hash_sig(self) -> None:
assert_equal(infer_c_method_args("__hash__"), [self_arg])
assert_equal(infer_method_ret_type("__hash__"), "... | StubgencSuite |
python | jazzband__django-simple-history | simple_history/tests/models.py | {
"start": 12705,
"end": 12775
} | class ____(FirstLevelInheritedModel):
pass
| SecondLevelInheritedModel |
python | scipy__scipy | scipy/sparse/tests/test_base.py | {
"start": 204426,
"end": 216169
} | class ____(sparse_test_class(getset=False,
slicing=False, slicing_assign=False,
fancy_indexing=False, fancy_assign=False,
nnz_axis=False)):
spcreator = bsr_array
math_dtypes = [np.int_, np.float64, np.complex128]
... | TestBSR |
python | ansible__ansible | lib/ansible/module_utils/facts/timeout.py | {
"start": 887,
"end": 2453
} | class ____(Exception):
pass
def timeout(seconds=None, error_message="Timer expired"):
"""
Timeout decorator to expire after a set number of seconds. This raises an
ansible.module_utils.facts.TimeoutError if the timeout is hit before the
function completes.
"""
def decorator(func):
... | TimeoutError |
python | run-llama__llama_index | llama-index-integrations/readers/llama-index-readers-github/llama_index/readers/github/repository/github_client.py | {
"start": 3875,
"end": 4735
} | class ____(Protocol):
def get_all_endpoints(self) -> Dict[str, str]: ...
async def request(
self,
endpoint: str,
method: str,
headers: Dict[str, Any] = {},
**kwargs: Any,
) -> Any: ...
async def get_tree(
self,
owner: str,
repo: str,
... | BaseGithubClient |
python | PyCQA__pylint | tests/functional/e/enum_subclasses.py | {
"start": 773,
"end": 827
} | class ____(OrderedEnum):
red = 0
green = 1
| Color |
python | streamlit__streamlit | lib/tests/streamlit/elements/echo_test.py | {
"start": 2826,
"end": 4288
} | class ____:
def do_x(self):
pass
def do_y(self):
pass"""
element = self.get_delta_from_queue(echo_index).new_element
assert echo_str == element.code.code_text
element = self.get_delta_from_queue(output_index).new_element
assert element.markdown.body == "Hello"
... | MyClass |
python | pytorch__pytorch | test/inductor/test_minifier_isolate.py | {
"start": 524,
"end": 1998
} | class ____(MinifierTestBase):
def _test_after_aot_runtime_error(self, device, expected_error):
run_code = f"""\
@torch.compile()
def inner(x):
x = torch.relu(x)
x = torch.cos(x)
return x
inner(torch.randn(2, 2).to("{device}"))
"""
# These must isolate because they crash the process
... | MinifierIsolateTests |
python | py-pdf__pypdf | pypdf/generic/_appearance_stream.py | {
"start": 584,
"end": 749
} | class ____(IntEnum):
"""Defines the alignment options for text within a form field's appearance stream."""
LEFT = 0
CENTER = 1
RIGHT = 2
| TextAlignment |
python | django-compressor__django-compressor | compressor/filters/template.py | {
"start": 124,
"end": 370
} | class ____(FilterBase):
def input(self, filename=None, basename=None, **kwargs):
template = Template(self.content)
context = Context(settings.COMPRESS_TEMPLATE_FILTER_CONTEXT)
return template.render(context)
| TemplateFilter |
python | PrefectHQ__prefect | src/integrations/prefect-github/prefect_github/schemas/graphql_schema.py | {
"start": 1018407,
"end": 1018945
} | class ____(sgqlc.types.Type, Node):
"""
See source code for more info.
"""
__schema__ = graphql_schema
__field_names__ = ("actor", "created_at", "from_repository", "issue")
actor = sgqlc.types.Field(Actor, graphql_name="actor")
created_at = sgqlc.types.Field(
sgqlc.types.non_null(Da... | TransferredEvent |
python | ray-project__ray | python/ray/tune/utils/util.py | {
"start": 903,
"end": 4352
} | class ____(Thread):
"""Class for system usage utilization monitoring.
It keeps track of CPU, RAM, GPU, VRAM usage (each gpu separately) by
pinging for information every x seconds in a separate thread.
Requires psutil and GPUtil to be installed. Can be enabled with
Tuner(param_space={"log_sys_usage... | UtilMonitor |
python | kamyu104__LeetCode-Solutions | Python/right-triangles.py | {
"start": 689,
"end": 1170
} | class ____(object):
def numberOfRightTriangles(self, grid):
"""
:type grid: List[List[int]]
:rtype: int
"""
n, m = len(grid), len(grid[0])
cnt1 = [sum(grid[i][j] for j in xrange(m)) for i in xrange(n)]
cnt2 = [sum(grid[i][j] for i in xrange(n)) for j in xrange... | Solution2 |
python | pydantic__pydantic | pydantic/experimental/pipeline.py | {
"start": 2245,
"end": 2483
} | class ____:
constraint: _ConstraintAnnotation
_Step = Union[_ValidateAs, _ValidateAsDefer, _Transform, _PipelineOr, _PipelineAnd, _Constraint]
_InT = TypeVar('_InT')
_OutT = TypeVar('_OutT')
_NewOutT = TypeVar('_NewOutT')
| _Constraint |
python | milvus-io__pymilvus | pymilvus/settings.py | {
"start": 1104,
"end": 1341
} | class ____:
def format_col(self, message_str: str, level_name: str):
if level_name in COLORS:
message_str = COLORS.get(level_name) + message_str + COLORS.get("ENDC")
return message_str
| ColorFulFormatColMixin |
python | charliermarsh__ruff | crates/ruff_linter/resources/test/fixtures/pyflakes/F401_14.py | {
"start": 136,
"end": 193
} | class ____:
datetime: "Optional[datetime.datetime]"
| Class |
python | pyqtgraph__pyqtgraph | pyqtgraph/opengl/shaders.py | {
"start": 10848,
"end": 10972
} | class ____(Shader):
def __init__(self, code):
Shader.__init__(self, GL.GL_VERTEX_SHADER, code)
| VertexShader |
python | celery__celery | t/unit/backends/test_redis.py | {
"start": 12661,
"end": 12720
} | class ____(CredentialProvider):
pass
| MyCredentialProvider |
python | getsentry__sentry | src/bitfield/models.py | {
"start": 2251,
"end": 5323
} | class ____(BigIntegerField):
def contribute_to_class(self, cls: type[Model], name: str, private_only: bool = False) -> None:
super().contribute_to_class(cls, name, private_only=private_only)
setattr(cls, self.name, BitFieldCreator(self))
def __init__(self, flags, default=None, *args, **kwargs):... | BitField |
python | numba__numba | numba/core/typing/builtins.py | {
"start": 30147,
"end": 31128
} | class ____(AbstractTemplate):
def generic(self, args, kws):
assert not kws
if len(args) == 1:
[arg] = args
if arg not in types.number_domain:
raise errors.NumbaTypeError("complex() only support for numbers")
if arg == types.float32:
... | Complex |
python | ray-project__ray | python/ray/tests/unit/test_runtime_env_validation.py | {
"start": 16956,
"end": 19930
} | class ____:
def test_validate_pip_invalid_types(self):
with pytest.raises(TypeError):
validation.parse_and_validate_pip(1)
with pytest.raises(TypeError):
validation.parse_and_validate_pip(True)
def test_validate_pip_invalid_path(self):
with pytest.raises(ValueEr... | TestValidatePip |
python | ipython__ipython | IPython/core/magics/code.py | {
"start": 1573,
"end": 5112
} | class ____(ValueError): pass
ipython_input_pat = re.compile(r"<ipython\-input\-(\d+)-[a-z\d]+>$")
# To match, e.g. 8-10 1:5 :10 3-
range_re = re.compile(r"""
(?P<start>\d+)?
((?P<sep>[\-:])
(?P<end>\d+)?)?
$""", re.VERBOSE)
def extract_code_ranges(ranges_str):
"""Turn a string of range for %%load into 2-tuples... | MacroToEdit |
python | langchain-ai__langchain | libs/langchain_v1/tests/unit_tests/agents/test_response_format.py | {
"start": 1165,
"end": 1262
} | class ____:
"""Weather response."""
temperature: float
condition: str
| WeatherDataclass |
python | instagram__MonkeyType | monkeytype/tracing.py | {
"start": 627,
"end": 2510
} | class ____:
"""CallTrace contains the types observed during a single invocation of a function"""
def __init__(
self,
func: Callable[..., Any],
arg_types: Dict[str, type],
return_type: Optional[type] = None,
yield_type: Optional[type] = None,
) -> None:
"""
... | CallTrace |
python | huggingface__transformers | tests/models/bert_japanese/test_tokenization_bert_japanese.py | {
"start": 14323,
"end": 17885
} | class ____(TokenizerTesterMixin, unittest.TestCase):
from_pretrained_id = "cl-tohoku/bert-base-japanese"
tokenizer_class = BertJapaneseTokenizer
test_rust_tokenizer = False
@classmethod
def setUpClass(cls):
super().setUpClass()
# Create a separate temp directory for the vocab file ... | BertJapaneseCharacterTokenizationTest |
python | Pylons__pyramid | src/pyramid/url.py | {
"start": 1516,
"end": 36622
} | class ____:
"""Request methods mixin for BaseRequest having to do with URL
generation"""
def _partial_application_url(self, scheme=None, host=None, port=None):
"""
Construct the URL defined by request.application_url, replacing any
of the default scheme, host, or port portions with ... | URLMethodsMixin |
python | PrefectHQ__prefect | src/integrations/prefect-databricks/prefect_databricks/models/jobs.py | {
"start": 8707,
"end": 11611
} | class ____(str, Enum):
"""
* `CREATING`: Indicates that the cluster is being created.
* `DID_NOT_EXPAND_DISK`: Indicates that a disk is low on space, but adding disks would put it over the max capacity.
* `EXPANDED_DISK`: Indicates that a disk was low on space and the disks were expanded.
* `FAI... | ClusterEventType |
python | ray-project__ray | release/llm_tests/serve/test_llm_serve_integration.py | {
"start": 6623,
"end": 8791
} | class ____:
"""Tests for remote code model loading behavior."""
@pytest.mark.parametrize("remote_model_app", [False], indirect=True)
def test_remote_code_failure(self, remote_model_app):
"""
Tests that a remote code model fails to load when trust_remote_code=False.
If it loads succ... | TestRemoteCode |
python | apache__avro | lang/py/avro/errors.py | {
"start": 3874,
"end": 3996
} | class ____(NotImplementedError, AvroException):
"""Raised when the compression named cannot be used."""
| UnsupportedCodec |
python | google__python-fire | fire/test_components.py | {
"start": 6588,
"end": 6752
} | class ____(NamedTuplePoint):
"""Used for verifying subclasses of namedtuples behave as intended."""
def coordinate_sum(self):
return self.x + self.y
| SubPoint |
python | spyder-ide__spyder | spyder/plugins/help/plugin.py | {
"start": 744,
"end": 849
} | class ____:
# Documentation related
ShowSpyderTutorialAction = "spyder_tutorial_action"
| HelpActions |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-facebook-marketing/unit_tests/integration/test_videos.py | {
"start": 2588,
"end": 8279
} | class ____(TestCase):
@staticmethod
def _read(config_: ConfigBuilder, expecting_exception: bool = False, json_schema: Optional[Dict[str, any]] = None) -> EntrypointOutput:
return read_output(
config_builder=config_,
stream_name=_STREAM_NAME,
sync_mode=SyncMode.full_re... | TestFullRefresh |
python | apache__airflow | scripts/in_container/verify_providers.py | {
"start": 1948,
"end": 2082
} | class ____(NamedTuple):
entities: list[str]
new_entities_table: str
wrong_entities: list[tuple[type, str]]
| EntityTypeSummary |
python | google__pytype | pytype/blocks/blocks_test.py | {
"start": 9126,
"end": 14666
} | class ____(BaseBlocksTest):
"""Test the add_pop_block_targets function."""
def assertTargets(self, code, targets):
co = self.make_code(code)
bytecode = opcodes.dis(co)
blocks.add_pop_block_targets(bytecode)
for i in range(len(bytecode)):
op = bytecode[i]
actual_target = op.target
... | BlockStackTest |
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