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 | getsentry__sentry | src/sentry/integrations/github/issues.py | {
"start": 1188,
"end": 13469
} | class ____(SourceCodeIssueIntegration):
def raise_error(self, exc: Exception, identity: Identity | None = None) -> NoReturn:
if isinstance(exc, ApiError):
if exc.code == 422:
invalid_fields = {}
if exc.json is not None:
for e in exc.json.get("e... | GitHubIssuesSpec |
python | mamba-org__mamba | micromamba/test-server/reposerver.py | {
"start": 1502,
"end": 9817
} | class ____:
keys = {
"root": [],
"key_mgr": [
{
"private": "c9c2060d7e0d93616c2654840b4983d00221d8b6b69c850107da74b42168f937",
"public": "013ddd714962866d12ba5bae273f14d48c89cf0773dee2dbf6d4561e521c83f7",
},
],
"pkg_mgr": [
... | RepoSigner |
python | getsentry__sentry | tests/sentry/runner/commands/test_createflag.py | {
"start": 272,
"end": 3664
} | class ____(CliTestCase):
command = createflag
def convert_output_to_feature(self, output: str) -> Feature:
split_output = output.split("=== GENERATED YAML ===\n")
assert len(split_output) == 2
return Feature.from_bulk_yaml(split_output[1])[0]
def test_blank_options_only(self) -> No... | TestCreateFlag |
python | pydata__xarray | xarray/tests/test_conventions.py | {
"start": 24457,
"end": 27105
} | class ____:
def test_decode_cf_variable_with_array_units(self) -> None:
v = Variable(["t"], [1, 2, 3], {"units": np.array(["foobar"], dtype=object)})
v_decoded = conventions.decode_cf_variable("test2", v)
assert_identical(v, v_decoded)
def test_decode_cf_variable_timedelta64():
variabl... | TestDecodeCFVariableWithArrayUnits |
python | spack__spack | lib/spack/spack/util/package_hash.py | {
"start": 14597,
"end": 14713
} | class ____(spack.error.SpackError):
"""Raised for all errors encountered during package hashing."""
| PackageHashError |
python | walkccc__LeetCode | solutions/3241. Time Taken to Mark All Nodes/3241.py | {
"start": 176,
"end": 537
} | class ____:
def __init__(self, top1: Node = Node(), top2: Node = Node()):
# the direct child node, where the time taken to mark the entire subtree
# rooted at the node is the maximum
self.top1 = top1
# the direct child node, where the time taken to mark the entire subtree
# rooted at the node is t... | Top2 |
python | numba__numba | numba/core/typeinfer.py | {
"start": 10640,
"end": 13964
} | class ____(object):
def __init__(self, target, items, special_value, value_indexes, loc):
self.target = target
self.items = items
self.special_value = special_value
self.value_indexes = value_indexes
self.loc = loc
def __call__(self, typeinfer):
with new_error_... | BuildMapConstraint |
python | spack__spack | var/spack/test_repos/spack_repo/builtin_mock/packages/some_virtual_preferred/package.py | {
"start": 217,
"end": 518
} | class ____(Package):
"""Package providing a virtual dependency with a preference in packages.yaml"""
homepage = "http://www.example.com"
url = "http://www.example.com/foo-1.0.tar.gz"
version("1.0", md5="0123456789abcdef0123456789abcdef")
provides("somevirtual")
| SomeVirtualPreferred |
python | django__django | tests/admin_views/models.py | {
"start": 9139,
"end": 9474
} | class ____(models.Model):
"""
Used to check autocomplete to_field resolution when ForeignKey is PK.
"""
parent = models.ForeignKey(Parent, models.CASCADE, primary_key=True)
name = models.CharField(max_length=128)
class Meta:
ordering = ["parent"]
def __str__(self):
return ... | PKChild |
python | kamyu104__LeetCode-Solutions | Python/toeplitz-matrix.py | {
"start": 345,
"end": 800
} | class ____(object):
def isToeplitzMatrix(self, matrix):
"""
:type matrix: List[List[int]]
:rtype: bool
"""
for row_index, row in enumerate(matrix):
for digit_index, digit in enumerate(row):
if not row_index or not digit_index:
c... | Solution2 |
python | PyCQA__pylint | tests/functional/u/used/used_before_assignment_typing.py | {
"start": 3422,
"end": 3781
} | class ____:
"""Class to test self referential variable typing within conditionals.
This regressed, reported in: https://github.com/pylint-dev/pylint/issues/5499
"""
def function(self, var: int) -> None:
if var < 0.5:
_x: MyThirdClass = self
def other_function(self) -> None:
... | MyThirdClass |
python | astropy__astropy | astropy/table/tests/test_subclass.py | {
"start": 1293,
"end": 1901
} | class ____(table.Row):
"""
Row class that allows access to an arbitrary dict of parameters
stored as a dict object in the ``params`` column.
"""
def __getitem__(self, item):
if item not in self.colnames:
return super().__getitem__("params")[item]
else:
return... | ParamsRow |
python | tensorflow__tensorflow | tensorflow/python/framework/extension_type.py | {
"start": 30532,
"end": 40574
} | class ____(ExtensionType):
"""An ExtensionType that can be batched and unbatched.
`BatchableExtensionType`s can be used with APIs that require batching or
unbatching, including `Keras`, `tf.data.Dataset`, and `tf.map_fn`. E.g.:
>>> class Vehicle(tf.experimental.BatchableExtensionType):
... top_speed: tf.... | BatchableExtensionType |
python | viewflow__viewflow | tests/workflow/test_fields__token.py | {
"start": 869,
"end": 998
} | class ____(forms.ModelForm): # noqa: D101
class Meta:
model = TokenTestModel
fields = ('token', )
| TokenTestForm |
python | run-llama__llama_index | llama-index-finetuning/llama_index/finetuning/azure_openai/base.py | {
"start": 444,
"end": 4470
} | class ____(OpenAIFinetuneEngine):
"""AzureOpenAI Finetuning Engine."""
def __init__(
self,
base_model: str,
data_path: str,
verbose: bool = False,
start_job_id: Optional[str] = None,
validate_json: bool = True,
) -> None:
"""Init params."""
se... | AzureOpenAIFinetuneEngine |
python | apache__airflow | providers/google/tests/unit/google/cloud/operators/test_vision.py | {
"start": 3996,
"end": 4869
} | class ____:
@mock.patch("airflow.providers.google.cloud.operators.vision.CloudVisionHook")
def test_minimal_green_path(self, mock_hook):
mock_hook.return_value.update_product_set.return_value = {}
op = CloudVisionUpdateProductSetOperator(
location=LOCATION_TEST, product_set=PRODUCTSE... | TestCloudVisionProductSetUpdate |
python | getsentry__sentry | src/sentry/api/endpoints/project_profiling_profile.py | {
"start": 2435,
"end": 2993
} | class ____(ProjectProfilingBaseEndpoint):
def get(self, request: Request, project: Project, profile_id: str) -> HttpResponse:
if not features.has("organizations:profiling", project.organization, actor=request.user):
return Response(status=404)
kwargs: dict[str, Any] = {
"meth... | ProjectProfilingRawProfileEndpoint |
python | networkx__networkx | networkx/algorithms/centrality/tests/test_group.py | {
"start": 6839,
"end": 8685
} | class ____:
def test_group_degree_centrality_single_node(self):
"""
Group degree centrality for a single node group
"""
G = nx.path_graph(4)
d = nx.group_degree_centrality(G, [1])
d_answer = nx.degree_centrality(G)[1]
assert d == d_answer
def test_group_d... | TestGroupDegreeCentrality |
python | sympy__sympy | sympy/series/sequences.py | {
"start": 1025,
"end": 11521
} | class ____(Basic):
"""Base class for sequences"""
is_commutative = True
_op_priority = 15
@staticmethod
def _start_key(expr):
"""Return start (if possible) else S.Infinity.
adapted from Set._infimum_key
"""
try:
start = expr.start
except NotImpl... | SeqBase |
python | scipy__scipy | scipy/special/tests/test_ndtr.py | {
"start": 475,
"end": 2680
} | class ____:
# The expected values in these tests were computed with mpmath:
#
# def log_ndtr_mp(x):
# return mpmath.log(mpmath.ncdf(x))
#
def test_log_ndtr_moderate_le8(self):
x = np.array([-0.75, -0.25, 0, 0.5, 1.5, 2.5, 3, 4, 5, 7, 8])
expected = np.array([-1.48444822... | TestLogNdtr |
python | EpistasisLab__tpot | tpot/search_spaces/pipelines/dynamic_linear.py | {
"start": 1738,
"end": 6307
} | class ____(SklearnIndividual):
# takes in a single search space.
# will produce a pipeline of variable length. Each step in the pipeline will be pulled from the search space provided.
def __init__(self, search_space : SearchSpace, max_length: int , rng=None) -> None:
super().__init__()
rng... | DynamicLinearPipelineIndividual |
python | apache__thrift | test/py/TestClient.py | {
"start": 19638,
"end": 22668
} | class ____(unittest.TestProgram):
def parseArgs(self, argv):
if args:
self.testNames = args
else:
self.testNames = ([self.defaultTest])
self.createTests()
if __name__ == "__main__":
parser = OptionParser()
parser.add_option('--libpydir', type='string', dest=... | OwnArgsTestProgram |
python | pyqtgraph__pyqtgraph | pyqtgraph/graphicsItems/GradientLegend.py | {
"start": 136,
"end": 4925
} | class ____(UIGraphicsItem):
"""
Draws a color gradient rectangle along with text labels denoting the value at specific
points along the gradient.
"""
def __init__(self, size, offset):
self.size = size
self.offset = offset
UIGraphicsItem.__init__(self)
self.setAcc... | GradientLegend |
python | dagster-io__dagster | python_modules/dagster/dagster/_core/remote_representation/external_data.py | {
"start": 12444,
"end": 13209
} | class ____:
"""Stores sensor metadata which is available in the Dagster UI.
This is an unfortunate legacy class that is out of line with our preferred pattern of storing
standard `Mapping[str, MetadataValue]` under the metadata field. Because this class already
existed when adding this standard metadat... | SensorMetadataSnap |
python | pytorch__pytorch | test/complex_tensor/test_complex_tensor.py | {
"start": 8126,
"end": 9731
} | class ____(TestGradients):
_default_dtype_check_enabled = True
@ops(
implemented_op_db,
dtypes=OpDTypes.supported_backward,
allowed_dtypes=[torch.complex128],
)
def test_fn_grad(self, device: str, dtype: torch.dtype, op: OpInfo) -> None:
test_info = Descriptor(
... | TestComplexBwdGradients |
python | encode__django-rest-framework | tests/test_renderers.py | {
"start": 3658,
"end": 3801
} | class ____(permissions.BasePermission):
def has_permission(self, request, view):
return request.method != 'POST'
| POSTDeniedPermission |
python | numpy__numpy | numpy/distutils/ccompiler_opt.py | {
"start": 23216,
"end": 29727
} | class ____:
"""A helper class that provides a collection of fundamental methods
implemented in a top of Python and NumPy Distutils.
The idea behind this class is to gather all methods that it may
need to override in case of reuse 'CCompilerOpt' in environment
different than of what NumPy has.
... | _Distutils |
python | instagram__MonkeyType | demo/models.py | {
"start": 1609,
"end": 1980
} | class ____(InboxEvent):
type = EventType.LIKED
def __init__(
self,
id: InboxEventId,
user_id: UserId,
published: datetime,
feedentry_id: FeedEntryId,
liker_id: UserId,
) -> None:
super().__init__(id, user_id, published)
self.feedentry_id = fee... | LikedEvent |
python | falconry__falcon | tests/_wsgi_test_app.py | {
"start": 739,
"end": 1379
} | class ____:
def on_get(self, req, resp):
resp.set_header('X-Falcon', 'peregrine')
resp.content_type = falcon.MEDIA_TEXT
resp.text = 'Hello, World!\n'
def on_get_deprecated(self, req, resp):
resp.set_header('X-Falcon', 'deprecated')
resp.content_type = falcon.MEDIA_TEXT... | Hello |
python | arrow-py__arrow | arrow/locales.py | {
"start": 60038,
"end": 60670
} | class ____(ArabicLocale):
names = ["ar-iq", "ar-jo", "ar-lb", "ar-ps", "ar-sy"]
month_names = [
"",
"كانون الثاني",
"شباط",
"آذار",
"نيسان",
"أيار",
"حزيران",
"تموز",
"آب",
"أيلول",
"تشرين الأول",
"تشرين الثاني",
... | LevantArabicLocale |
python | django__django | tests/requests_tests/test_data_upload_settings.py | {
"start": 562,
"end": 1481
} | class ____(SimpleTestCase):
def setUp(self):
payload = FakePayload("a=1&a=2&a=3\r\n")
self.request = WSGIRequest(
{
"REQUEST_METHOD": "POST",
"CONTENT_TYPE": "application/x-www-form-urlencoded",
"CONTENT_LENGTH": len(payload),
... | DataUploadMaxMemorySizeFormPostTests |
python | pytorch__pytorch | torch/futures/__init__.py | {
"start": 300,
"end": 14435
} | class ____(torch._C.Future, Generic[T]):
r"""
Wrapper around a ``torch._C.Future`` which encapsulates an asynchronous
execution of a callable, e.g. :meth:`~torch.distributed.rpc.rpc_async`. It
also exposes a set of APIs to add callback functions and set results.
.. warning:: GPU support is a beta f... | Future |
python | tensorflow__tensorflow | tensorflow/python/feature_column/feature_column_test.py | {
"start": 27417,
"end": 37303
} | class ____(test.TestCase):
def test_defaults(self):
a = fc._categorical_column_with_hash_bucket('aaa', 10)
self.assertEqual('aaa', a.name)
self.assertEqual('aaa', a._var_scope_name)
self.assertEqual('aaa', a.key)
self.assertEqual(10, a.hash_bucket_size)
self.assertEqual(dtypes.string, a.dtype... | HashedCategoricalColumnTest |
python | sqlalchemy__sqlalchemy | test/sql/test_operators.py | {
"start": 12510,
"end": 20909
} | class ____(fixtures.TestBase, testing.AssertsCompiledSQL):
__dialect__ = "default"
@testing.combinations(True, False, argnames="reverse")
@testing.combinations(True, False, argnames="negate")
def test_associatives_mismatched_type(self, reverse, negate):
"""test we get two separate exprs if the ... | MultiElementExprTest |
python | getsentry__sentry | src/sentry/hybridcloud/rpc/caching/service.py | {
"start": 6198,
"end": 12470
} | class ____(Generic[_R]):
"""
Get a multiple records from cache or wrapped function.
When cache read returns no or partial data, the wrapped function will be invoked
with keys missing data. The result of the wrapped function will then be stored in cache.
Ideal for 'get many by id' style methods.
... | SiloCacheManyBackedCallable |
python | ray-project__ray | doc/source/serve/doc_code/test_service_pb2_grpc.py | {
"start": 2738,
"end": 4450
} | class ____(object):
"""Missing associated documentation comment in .proto file."""
@staticmethod
def Ping(
request,
target,
options=(),
channel_credentials=None,
call_credentials=None,
insecure=False,
compression=None,
wait_for_ready=None,
... | TestService |
python | huggingface__transformers | src/transformers/models/seamless_m4t_v2/modeling_seamless_m4t_v2.py | {
"start": 16094,
"end": 20140
} | class ____(nn.Module):
"""Construct a SeamlessM4Tv2ConformerSelfAttention object.
Can be enhanced with relative position embeddings.
"""
def __init__(self, config, use_position_embeddings=True):
super().__init__()
self.head_size = config.hidden_size // config.speech_encoder_attention_h... | SeamlessM4Tv2ConformerSelfAttention |
python | pennersr__django-allauth | allauth/socialaccount/providers/wahoo/views.py | {
"start": 181,
"end": 971
} | class ____(OAuth2Adapter):
provider_id = "wahoo"
access_token_url = "https://api.wahooligan.com/oauth/token" # nosec
authorize_url = "https://api.wahooligan.com/oauth/authorize"
profile_url = "https://api.wahooligan.com/v1/user"
def complete_login(self, request, app, token, **kwargs):
head... | WahooOAuth2Adapter |
python | pytorch__pytorch | torch/onnx/_internal/fx/_pass.py | {
"start": 5493,
"end": 8638
} | class ____(abc.ABC):
"""Base class for FX graph transformations to be used by FX-ONNX exporter.
Similar to `FX Interpreter <https://pytorch.org/docs/stable/fx.html#torch.fx.Interpreter>`_,
specializations of this class execute the FX graph Node-by-Node.
Methods in the `Transform` class can be overridde... | Transform |
python | keras-team__keras | keras/src/backend/numpy/export.py | {
"start": 0,
"end": 351
} | class ____:
def track(self, resource):
raise NotImplementedError(
"`track` is not implemented in the numpy backend."
)
def add_endpoint(self, name, fn, input_signature=None, **kwargs):
raise NotImplementedError(
"`add_endpoint` is not implemented in the numpy bac... | NumpyExportArchive |
python | huggingface__transformers | src/transformers/models/altclip/modeling_altclip.py | {
"start": 14003,
"end": 14717
} | 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... | AltRobertaOutput |
python | pytorch__pytorch | test/dynamo/cpython/3_13/test_set.py | {
"start": 38862,
"end": 39285
} | class ____(_TestBasicOps, __TestCase):
def setUp(self):
self.case = "bytes set"
self.values = [b"a", b"b", b"c"]
self.set = set(self.values)
self.dup = set(self.values)
self.length = 3
super().setUp()
def test_repr(self):
self.check_repr_against_v... | TestBasicOpsBytes |
python | streamlit__streamlit | lib/streamlit/navigation/page.py | {
"start": 5347,
"end": 11649
} | class ____:
"""A page within a multipage Streamlit app.
Use ``st.Page`` to initialize a ``StreamlitPage`` object.
Attributes
----------
icon : str
The icon of the page.
If no icon was declared in ``st.Page``, this property returns ``""``.
title : str
The title of the ... | StreamlitPage |
python | python-pillow__Pillow | src/PIL/GdImageFile.py | {
"start": 873,
"end": 2788
} | class ____(ImageFile.ImageFile):
"""
Image plugin for the GD uncompressed format. Note that this format
is not supported by the standard :py:func:`PIL.Image.open()` function. To use
this plugin, you have to import the :py:mod:`PIL.GdImageFile` module and
use the :py:func:`PIL.GdImageFile.open()` f... | GdImageFile |
python | weaviate__weaviate-python-client | weaviate/collections/classes/config.py | {
"start": 17765,
"end": 18127
} | class ____(_RerankerProvider):
reranker: Union[Rerankers, _EnumLikeStr] = Field(
default=Rerankers.CONTEXTUALAI, frozen=True, exclude=True
)
model: Optional[Union[RerankerContextualAIModel, str]] = Field(default=None)
instruction: Optional[str] = Field(default=None)
topN: Optional[int] = Fie... | _RerankerContextualAIConfig |
python | pytorch__pytorch | benchmarks/instruction_counts/definitions/setup.py | {
"start": 1500,
"end": 1636
} | class ____(enum.Enum):
TRIVIAL_2D = _TRIVIAL_2D
TRIVIAL_3D = _TRIVIAL_3D
TRIVIAL_4D = _TRIVIAL_4D
TRAINING = _TRAINING
| Setup |
python | kamyu104__LeetCode-Solutions | Python/most-stones-removed-with-same-row-or-column.py | {
"start": 487,
"end": 848
} | class ____(object):
def removeStones(self, stones):
"""
:type stones: List[List[int]]
:rtype: int
"""
MAX_ROW = 10000
union_find = UnionFind(2*MAX_ROW)
for r, c in stones:
union_find.union_set(r, c+MAX_ROW)
return len(stones) - len({union_f... | Solution |
python | huggingface__transformers | src/transformers/integrations/executorch.py | {
"start": 17536,
"end": 26543
} | class ____(torch.nn.Module):
"""
A recipe module designed to make a `PreTrainedModel` exportable with `torch.export`,
specifically for decoder-only LM to `StaticCache`. This module ensures that the
exported model is compatible with further lowering and execution in `ExecuTorch`.
Note:
This ... | TorchExportableModuleWithStaticCache |
python | lazyprogrammer__machine_learning_examples | rl3/a2c/atari_wrappers.py | {
"start": 5160,
"end": 6104
} | class ____(gym.ObservationWrapper):
def __init__(self, env, width=84, height=84, grayscale=True):
"""Warp frames to 84x84 as done in the Nature paper and later work."""
gym.ObservationWrapper.__init__(self, env)
self.width = width
self.height = height
self.grayscale = graysca... | WarpFrame |
python | run-llama__llama_index | llama-index-integrations/vector_stores/llama-index-vector-stores-milvus/llama_index/vector_stores/milvus/utils.py | {
"start": 2673,
"end": 6370
} | class ____(BaseModel):
# scalar metadata filters for advanced vector filtering
# https://docs.zilliz.com/docs/use-array-fields#advanced-scalar-filtering
filters: List[ScalarMetadataFilter]
# and/or such conditions for combining different filters
condition: Optional[FilterCondition] = FilterCondition... | ScalarMetadataFilters |
python | mlflow__mlflow | dev/tests/test_set_matrix.py | {
"start": 193,
"end": 4883
} | class ____:
def __init__(self, data):
self.data = data
def json(self):
return self.data
def raise_for_status(self):
pass
@classmethod
def from_versions(cls, versions):
return cls(
{
"releases": {
v: [
... | MockResponse |
python | huggingface__transformers | src/transformers/models/arcee/modular_arcee.py | {
"start": 8410,
"end": 8539
} | class ____(LlamaForSequenceClassification):
pass
@auto_docstring(checkpoint="arcee-ai/AFM-4.5B")
| ArceeForSequenceClassification |
python | weaviate__weaviate-python-client | weaviate/collections/classes/aggregate.py | {
"start": 2683,
"end": 2823
} | class ____:
"""The aggregation results for a collection grouped by a property."""
groups: List[AggregateGroup]
| AggregateGroupByReturn |
python | django__django | django/forms/utils.py | {
"start": 1923,
"end": 2587
} | class ____(RenderableMixin):
def as_field_group(self):
return self.render()
def as_hidden(self):
raise NotImplementedError(
"Subclasses of RenderableFieldMixin must provide an as_hidden() method."
)
def as_widget(self):
raise NotImplementedError(
"Su... | RenderableFieldMixin |
python | django__django | tests/model_fields/models.py | {
"start": 4340,
"end": 4463
} | class ____(models.Model):
d = models.DateField()
dt = models.DateTimeField()
t = models.TimeField()
| DateTimeModel |
python | spyder-ide__spyder | spyder/plugins/updatemanager/widgets/update.py | {
"start": 21248,
"end": 21492
} | class ____(QMessageBox):
def __init__(self, icon=None, text=None, parent=None):
super().__init__(icon=icon, text=text, parent=parent)
self.setWindowModality(Qt.NonModal)
self.setTextFormat(Qt.RichText)
| UpdateMessageBox |
python | ray-project__ray | release/nightly_tests/decision_tree/cart_with_tree.py | {
"start": 272,
"end": 3439
} | class ____:
"""A decision tree node."""
def __init__(self, gini, num_samples, num_samples_per_class, predicted_class):
self.gini = gini
self.num_samples = num_samples
self.num_samples_per_class = num_samples_per_class
self.predicted_class = predicted_class
self.feature_i... | Node |
python | getsentry__sentry | src/sentry/workflow_engine/endpoints/organization_workflow_index.py | {
"start": 3307,
"end": 3851
} | class ____(OrganizationEndpoint):
permission_classes = (OrganizationWorkflowPermission,)
def convert_args(self, request: Request, workflow_id, *args, **kwargs):
args, kwargs = super().convert_args(request, *args, **kwargs)
try:
kwargs["workflow"] = Workflow.objects.get(
... | OrganizationWorkflowEndpoint |
python | PrefectHQ__prefect | tests/utilities/test_pydantic.py | {
"start": 1323,
"end": 2184
} | class ____:
@pytest.fixture(autouse=True)
def check_for_model_decoration_exception(self):
if REDUCTION_MODELS_EXC:
raise RuntimeError("Failed to create test model.") from REDUCTION_MODELS_EXC
def test_add_cloudpickle_reduction(self):
model = CythonFieldModel(x="./foo.txt")
... | TestCloudpickleReduction |
python | getsentry__sentry | tests/sentry/db/postgres/schema/safe_migrations/integration/test_migrations.py | {
"start": 4589,
"end": 5029
} | class ____(BaseSafeMigrationTest):
app = "bad_flow_rename_table_app"
migrate_from = "0001_initial"
migrate_to = "0002_rename_table"
def test(self) -> None:
with pytest.raises(
UnsafeOperationException,
match="Renaming table for model NewTable from bad_flow_rename_table_a... | RenameTableTest |
python | sqlalchemy__sqlalchemy | test/orm/test_hasparent.py | {
"start": 593,
"end": 6494
} | class ____(fixtures.MappedTest):
"""Test that the 'hasparent' flag gets flipped to False
only if we're sure this object is the real parent.
In ambiguous cases a stale data exception is
raised.
"""
run_inserts = None
# trying to push GC to do a better job
run_setup_classes = "each"
... | ParentRemovalTest |
python | huggingface__transformers | src/transformers/models/got_ocr2/modeling_got_ocr2.py | {
"start": 2427,
"end": 8312
} | class ____(nn.Module):
"""Multi-head Attention block with relative position embeddings."""
def __init__(self, config, window_size):
super().__init__()
input_size = (
(config.image_size // config.patch_size, config.image_size // config.patch_size)
if window_size == 0
... | GotOcr2VisionAttention |
python | PyCQA__pylint | pylint/checkers/refactoring/refactoring_checker.py | {
"start": 8145,
"end": 101282
} | class ____(checkers.BaseTokenChecker):
"""Looks for code which can be refactored.
This checker also mixes the astroid and the token approaches
in order to create knowledge about whether an "else if" node
is a true "else if" node, or an "elif" node.
"""
name = "refactoring"
msgs = {
... | RefactoringChecker |
python | getsentry__sentry | tests/sentry/integrations/github/test_client.py | {
"start": 34193,
"end": 36702
} | class ____(TestCase):
@mock.patch("sentry.integrations.github.client.get_jwt", return_value="jwt_token_1")
def setUp(self, get_jwt):
integration = self.create_integration(
organization=self.organization,
provider="github",
name="Github Test Org",
external_... | GitHubClientFileBlameBase |
python | ansible__ansible | test/units/modules/test_service_facts.py | {
"start": 4790,
"end": 5915
} | class ____(unittest.TestCase):
def setUp(self):
self.mock1 = patch.object(basic.AnsibleModule, 'get_bin_path', return_value='/usr/sbin/lssrc')
self.mock1.start()
self.addCleanup(self.mock1.stop)
self.mock2 = patch.object(basic.AnsibleModule, 'run_command', return_value=(0, LSSRC_OUT... | TestAIXScanService |
python | dask__distributed | distributed/tests/test_client.py | {
"start": 108788,
"end": 136666
} | class ____(Exception):
pass
@contextmanager
def catch_unhandled_exceptions() -> Generator[None]:
loop = asyncio.get_running_loop()
ctxs: list[dict[str, Any]] = []
old_handler = loop.get_exception_handler()
@loop.set_exception_handler
def _(loop: object, context: dict[str, Any]) -> None:
... | UnhandledExceptions |
python | getsentry__sentry | src/sentry/shared_integrations/exceptions/__init__.py | {
"start": 4721,
"end": 5057
} | class ____(IntegrationError):
"""
Error when external API access is blocked due to configuration issues
like permissions, visibility changes, or invalid project settings.
This is not a product error, but rather an integration setup issue
that requires user intervention.
"""
pass
| IntegrationConfigurationError |
python | neetcode-gh__leetcode | python/0918-maximum-sum-circular-subarray.py | {
"start": 0,
"end": 479
} | class ____:
def maxSubarraySumCircular(self, nums: List[int]) -> int:
globMax, globMin = nums[0], nums[0]
curMax, curMin = 0, 0
total = 0
for i, n in enumerate(nums):
curMax = max(curMax + n, n)
curMin = min(curMin + n, n)
total += n
... | Solution |
python | sympy__sympy | sympy/functions/elementary/exponential.py | {
"start": 6519,
"end": 19814
} | class ____(ExpBase, metaclass=ExpMeta):
"""
The exponential function, :math:`e^x`.
Examples
========
>>> from sympy import exp, I, pi
>>> from sympy.abc import x
>>> exp(x)
exp(x)
>>> exp(x).diff(x)
exp(x)
>>> exp(I*pi)
-1
Parameters
==========
arg : Expr
... | exp |
python | davidhalter__jedi | jedi/inference/value/dynamic_arrays.py | {
"start": 7312,
"end": 7527
} | class ____(_Modification):
def py__iter__(self, contextualized_node=None):
yield from self._wrapped_value.py__iter__(contextualized_node)
yield LazyKnownValues(self._assigned_values)
| ListModification |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-tiktok-marketing/unit_tests/integration/test_creative_assets_portfolios.py | {
"start": 534,
"end": 1479
} | class ____(TestCase):
stream_name = "creative_assets_portfolios"
advertiser_id = "872746382648"
def catalog(self, sync_mode: SyncMode = SyncMode.full_refresh):
return CatalogBuilder().with_stream(name=self.stream_name, sync_mode=sync_mode).build()
def config(self):
return ConfigBuilder... | TestCreativeAssetsPortfolios |
python | catalyst-team__catalyst | catalyst/data/loader.py | {
"start": 193,
"end": 1380
} | class ____(DataLoader):
"""Loader wrapper interface.
Args:
loader: torch dataloader.
"""
def __init__(self, loader: DataLoader):
"""Init"""
self.origin = loader
def __getattr__(self, key):
"""
Gets attribute by ``key``.
Firstly, looks at the ``origi... | ILoaderWrapper |
python | jmcnamara__XlsxWriter | xlsxwriter/test/comparison/test_chart_line01.py | {
"start": 315,
"end": 1343
} | class ____(ExcelComparisonTest):
"""
Test file created by XlsxWriter against a file created by Excel.
"""
def setUp(self):
self.set_filename("chart_line01.xlsx")
def test_create_file(self):
"""Test the creation of a simple XlsxWriter file."""
workbook = Workbook(self.got_... | TestCompareXLSXFiles |
python | pypa__pip | src/pip/_internal/cli/index_command.py | {
"start": 1419,
"end": 4592
} | class ____(CommandContextMixIn):
"""
A class mixin for command classes needing _build_session().
"""
def __init__(self) -> None:
super().__init__()
self._session: PipSession | None = None
@classmethod
def _get_index_urls(cls, options: Values) -> list[str] | None:
"""Ret... | SessionCommandMixin |
python | joke2k__faker | faker/providers/company/en_PH/__init__.py | {
"start": 82,
"end": 3694
} | class ____(CompanyProvider):
"""
Provider for company names for en_PH locale
Company naming scheme and probabilities are inspired by and/or based on existing companies in the Philippines.
Sources:
- https://en.wikipedia.org/wiki/List_of_companies_of_the_Philippines
- https://www.pse.com.ph/sto... | Provider |
python | jmcnamara__XlsxWriter | xlsxwriter/test/comparison/test_top_left_cell02.py | {
"start": 315,
"end": 813
} | class ____(ExcelComparisonTest):
"""
Test file created by XlsxWriter against a file created by Excel.
"""
def setUp(self):
self.set_filename("top_left_cell02.xlsx")
def test_create_file(self):
"""Test the creation of a simple XlsxWriter file."""
workbook = Workbook(self.g... | TestCompareXLSXFiles |
python | airbytehq__airbyte | airbyte-integrations/connectors/destination-convex/destination_convex/client.py | {
"start": 171,
"end": 2501
} | class ____:
def __init__(self, config: ConvexConfig, table_metadata: Mapping[str, Any]):
self.deployment_url = config["deployment_url"]
self.access_key = config["access_key"]
self.table_metadata = table_metadata
def batch_write(self, records: List[Mapping[str, Any]]) -> requests.Respons... | ConvexClient |
python | dask__dask | dask/array/_array_expr/_creation.py | {
"start": 2375,
"end": 3617
} | class ____(Arange):
_parameters = ["start", "stop", "num", "endpoint", "chunks", "dtype"]
_defaults = {"num": 50, "endpoint": True, "chunks": "auto", "dtype": None}
like = None
@functools.cached_property
def num_rows(self):
return self.operand("num")
@functools.cached_property
def ... | Linspace |
python | weaviate__weaviate-python-client | weaviate/collections/classes/config.py | {
"start": 13261,
"end": 13372
} | class ____(_GenerativeOpenAIConfigBase):
resourceName: str
deploymentId: str
| _GenerativeAzureOpenAIConfig |
python | astropy__astropy | astropy/modeling/spline.py | {
"start": 19820,
"end": 21928
} | class ____(_SplineFitter):
"""
Fit a smoothing spline.
"""
def __call__(self, model, x, y, **kwargs):
"""
Fit a smoothing spline to data.
Parameters
----------
model : `Spline1D`
The spline model to fit.
x : array-like
The x data ... | SplineSmoothingFitter |
python | dagster-io__dagster | python_modules/dagster/dagster/_config/stack.py | {
"start": 1813,
"end": 3056
} | class ____(EvaluationStackEntry):
parent: Optional["EvaluationStackEntry"] = None
def iter_entries(self):
yield from []
def get_friendly_path_msg(stack: EvaluationStackEntry) -> str:
return get_friendly_path_info(stack)[0]
def get_friendly_path_info(stack: EvaluationStackEntry) -> tuple[str, st... | EvaluationStackRoot |
python | openai__openai-python | src/openai/types/fine_tuning/alpha/grader_run_response.py | {
"start": 1094,
"end": 1323
} | class ____(BaseModel):
errors: MetadataErrors
execution_time: float
name: str
sampled_model_name: Optional[str] = None
scores: Dict[str, object]
token_usage: Optional[int] = None
type: str
| Metadata |
python | getsentry__sentry | src/sentry/api/serializers/rest_framework/savedsearch.py | {
"start": 614,
"end": 1154
} | class ____(BaseOrganizationSearchSerializer):
"""
Organization admins/owners may create organization wide saved searches
"""
# TODO(epurkhiser): Once the frontend is deployed we should change this to
# default to OWNER since that is a more sane default than organization
# visibile.
visibili... | OrganizationSearchAdminSerializer |
python | huggingface__transformers | src/transformers/models/vilt/modeling_vilt.py | {
"start": 18791,
"end": 20360
} | class ____(GradientCheckpointingLayer):
"""This corresponds to the Block class in the timm implementation."""
def __init__(self, config):
super().__init__()
self.chunk_size_feed_forward = config.chunk_size_feed_forward
self.seq_len_dim = 1
self.attention = ViltAttention(config)
... | ViltLayer |
python | prabhupant__python-ds | data_structures/graphs/cycle_in_undirected_graph.py | {
"start": 38,
"end": 773
} | class ____:
def __init__(self, vertices):
self.V = vertices
self.graph = defaultdict(list)
def add_edge(self, u, v):
self.graph[u].append(v)
def is_cyclic_util(self, v, visited, parent):
visited[v] = True
for i in self.graph[v]:
if visited[i] == Fals... | Graph |
python | getsentry__sentry | tests/sentry/workflow_engine/endpoints/validators/test_base_data_condition.py | {
"start": 4484,
"end": 4966
} | class ____(AbstractDataConditionValidator[int, bool]):
def validate_comparison(self, value: Any) -> int:
if isinstance(value, int):
return value
else:
raise ValidationError("Comparison must be an integer")
def validate_condition_result(self, value: Any) -> bool:
... | ExampleConditionValidator |
python | spack__spack | lib/spack/spack/llnl/util/lock.py | {
"start": 25326,
"end": 27982
} | class ____:
"""Simple nested transaction context manager that uses a file lock.
Arguments:
lock (Lock): underlying lock for this transaction to be acquired on
enter and released on exit
acquire (typing.Callable or contextlib.contextmanager): function to be called
after l... | LockTransaction |
python | langchain-ai__langchain | libs/langchain/langchain_classic/chains/qa_with_sources/vector_db.py | {
"start": 559,
"end": 3013
} | class ____(BaseQAWithSourcesChain):
"""Question-answering with sources over a vector database."""
vectorstore: VectorStore = Field(exclude=True)
"""Vector Database to connect to."""
k: int = 4
"""Number of results to return from store"""
reduce_k_below_max_tokens: bool = False
"""Reduce the... | VectorDBQAWithSourcesChain |
python | allegroai__clearml | clearml/backend_api/services/v2_20/events.py | {
"start": 35286,
"end": 38695
} | class ____(NonStrictDataModel):
"""
:param scroll_id: Scroll ID to pass to the next calls to get_debug_image_sample
or next_debug_image_sample
:type scroll_id: str
:param event: Debug image event
:type event: dict
:param min_iteration: minimal valid iteration for the variant
:type mi... | DebugImageSampleResponse |
python | doocs__leetcode | solution/1300-1399/1365.How Many Numbers Are Smaller Than the Current Number/Solution.py | {
"start": 0,
"end": 165
} | class ____:
def smallerNumbersThanCurrent(self, nums: List[int]) -> List[int]:
arr = sorted(nums)
return [bisect_left(arr, x) for x in nums]
| Solution |
python | getsentry__sentry | tests/sentry/api/test_base.py | {
"start": 3112,
"end": 3827
} | class ____(Endpoint):
permission_classes = ()
def get(self, request):
values = [x for x in range(0, 100)]
def data_fn(offset, limit):
page_offset = offset * limit
return values[page_offset : page_offset + limit]
return self.paginate(
request=request... | DummyPaginationStreamingEndpoint |
python | kamyu104__LeetCode-Solutions | Python/count-collisions-of-monkeys-on-a-polygon.py | {
"start": 69,
"end": 247
} | class ____(object):
def monkeyMove(self, n):
"""
:type n: int
:rtype: int
"""
MOD = 10**9+7
return (pow(2, n, MOD)-2)%MOD
| Solution |
python | tensorflow__tensorflow | tensorflow/python/client/events_writer_test.py | {
"start": 1303,
"end": 2780
} | class ____(test_util.TensorFlowTestCase):
def testWriteEvents(self):
file_prefix = os.path.join(self.get_temp_dir(), "events")
writer = _pywrap_events_writer.EventsWriter(compat.as_bytes(file_prefix))
filename = compat.as_text(writer.FileName())
event_written = event_pb2.Event(
wall_time=123.... | PywrapeventsWriterTest |
python | apache__airflow | providers/microsoft/azure/src/airflow/providers/microsoft/azure/operators/adls.py | {
"start": 1216,
"end": 3328
} | class ____(BaseOperator):
"""
Creates a new object from passed data to Azure Data Lake on specified file.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:ADLSCreateObjectOperator`
:param file_system_name: Name of the file sy... | ADLSCreateObjectOperator |
python | django-haystack__django-haystack | test_haystack/test_fields.py | {
"start": 16609,
"end": 18586
} | class ____(TestCase):
def test_init(self):
try:
foo = CharField(use_template=True)
except:
self.fail()
try:
foo = CharField(use_template=True, template_name="foo.txt")
except:
self.fail()
foo = CharField(use_template=True, tem... | CharFieldWithTemplateTestCase |
python | ray-project__ray | python/ray/dag/collective_node.py | {
"start": 566,
"end": 10115
} | class ____:
"""
Represent metadata for a collective communicator collective operation.
Args:
inputs: A list of lists of DAGNode. Each nested list inside
of inputs should contain exactly one object per actor.
If multiple nested lists are provided, then the order of
... | _CollectiveOperation |
python | scikit-learn__scikit-learn | sklearn/externals/_arff.py | {
"start": 13624,
"end": 13809
} | class ____(ArffException):
'''Error raised when and invalid numerical value is used in some data
instance.'''
message = 'Invalid numerical value, at line %d.'
| BadNumericalValue |
python | huggingface__transformers | src/transformers/models/pop2piano/modeling_pop2piano.py | {
"start": 27674,
"end": 42423
} | class ____(Pop2PianoPreTrainedModel):
# Copied from transformers.models.t5.modeling_t5.T5Stack.__init__ with T5->Pop2Piano,t5->pop2piano
def __init__(self, config):
super().__init__(config)
self.embed_tokens = nn.Embedding(config.vocab_size, config.d_model)
self.is_decoder = config.is_d... | Pop2PianoStack |
python | getsentry__sentry | src/sentry/api/paginator.py | {
"start": 19959,
"end": 20736
} | class ____:
is_empty = False
def __init__(self, queryset, order_by):
assert isinstance(order_by, list), "order_by must be a list of keys/field names"
self.queryset = queryset
self.order_by = order_by
try:
instance = queryset[:1].get()
self.instance_type =... | CombinedQuerysetIntermediary |
python | dagster-io__dagster | python_modules/libraries/dagster-dg-core/dagster_dg_core/config.py | {
"start": 11208,
"end": 12298
} | class ____(TypedDict):
registry: Optional[str]
directory: Optional[str]
def merge_build_configs(
workspace_build_config: Optional[DgRawBuildConfig],
project_build_config: Optional[DgRawBuildConfig],
) -> DgRawBuildConfig:
project_dict = remove_none_recursively(project_build_config or {})
works... | DgRawBuildConfig |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.