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 | fabric__fabric | integration/connection.py | {
"start": 327,
"end": 5684
} | class ____:
class ssh_connections:
def open_method_generates_real_connection(self):
c = Connection("localhost")
c.open()
assert c.client.get_transport().active is True
assert c.is_connected is True
return c
def close_method_closes_connecti... | Connection_ |
python | has2k1__plotnine | plotnine/scales/limits.py | {
"start": 4077,
"end": 5626
} | class ____:
"""
Set aesthetic limits
Parameters
----------
kwargs :
Aesthetic and the values of the limits.
e.g `x=(40, 100)`
Notes
-----
If the 2nd value of `limits` is less than
the first, a reversed scale will be created.
"""
def __init__(self, **kwargs)... | lims |
python | spack__spack | lib/spack/spack/test/installer.py | {
"start": 35714,
"end": 50435
} | class ____(Exception):
pass
_old_complete_task = None
def _install_fail_my_build_exception(installer, task, install_status, **kwargs):
if task.pkg.name == "pkg-a":
raise MyBuildException("mock internal package build error for pkg-a")
else:
_old_complete_task(installer, task, install_stat... | MyBuildException |
python | bokeh__bokeh | tests/unit/bokeh/embed/test_util__embed.py | {
"start": 24754,
"end": 25181
} | class ____:
def test_basic(self) -> None:
t = Theme(json={})
d = Document()
beu._themes[d] = t
beu._unset_temp_theme(d)
assert d.theme is t
assert d not in beu._themes
def test_no_old_theme(self) -> None:
d = Document()
orig = d.theme
beu.... | Test__unset_temp_theme |
python | airbytehq__airbyte | airbyte-ci/connectors/pipelines/pipelines/airbyte_ci/steps/gradle.py | {
"start": 711,
"end": 812
} | class ____(Exception):
"""Raised when a Gradle operation times out."""
pass
| GradleTimeoutError |
python | catalyst-team__catalyst | catalyst/contrib/datasets/cifar.py | {
"start": 3554,
"end": 8747
} | class ____(VisionDataset):
"""`CIFAR10 <https://www.cs.toronto.edu/~kriz/cifar.html>`_ Dataset.
Args:
root (string): Root directory of dataset where directory
``cifar-10-batches-py`` exists or will be saved to if download is set to True.
train (bool, optional): If True, creates data... | CIFAR10 |
python | PrefectHQ__prefect | tests/server/orchestration/api/test_task_run_states.py | {
"start": 99,
"end": 961
} | class ____:
async def test_read_task_run_state(self, task_run, client, session):
# create a flow run state to read
result = await models.task_runs.set_task_run_state(
session=session,
task_run_id=task_run.id,
state=schemas.states.Running(),
)
await... | TestReadTaskRunStateById |
python | apache__airflow | providers/http/tests/unit/http/triggers/test_http.py | {
"start": 7441,
"end": 11544
} | class ____:
@staticmethod
def _mock_run_result(result_to_mock):
f = Future()
f.set_result(result_to_mock)
return f
def test_serialization(self, event_trigger):
"""
Asserts that the HttpEventTrigger correctly serializes its arguments
and classpath.
"""... | TestHttpEventTrigger |
python | pytorch__pytorch | test/dynamo/test_python_dispatcher.py | {
"start": 395,
"end": 2388
} | class ____(torch._dynamo.test_case.TestCase):
def test_dispatch_key1(self):
@torch.compile(backend="aot_eager", fullgraph=True)
def fn(x):
x = x + 1
return torch._C._dispatch_keys(x)
x = torch.randn(2, 3)
self.assertTrue(fn(x).raw_repr() == torch._C._dispatch... | PythonDispatcherTests |
python | davidhalter__jedi | test/completion/basic.py | {
"start": 3714,
"end": 5340
} | class ____(Exception):
def __init__(self, my_attr):
self.my_attr = my_attr
try:
raise MyException(1)
except MyException as e:
#? ['my_attr']
e.my_attr
#? 22 ['my_attr']
for x in e.my_attr:
pass
# -----------------
# params
# -----------------
my_param = 1
#? 9 str()
def foo1(m... | MyException |
python | keon__algorithms | tests/test_maths.py | {
"start": 8172,
"end": 8474
} | class ____(unittest.TestCase):
"""[summary]
Test for the file pythagoras.py
Arguments:
unittest {[type]} -- [description]
"""
def test_pythagoras(self):
self.assertEqual("Hypotenuse = 3.605551275463989",
pythagoras(3, 2, "?"))
| TestPythagoras |
python | pyinstaller__pyinstaller | tests/unit/test_modulegraph/test_imports.py | {
"start": 13895,
"end": 14682
} | class ____ (unittest.TestCase):
if not hasattr(unittest.TestCase, 'assertIsInstance'):
def assertIsInstance(self, value, types):
if not isinstance(value, types):
self.fail("%r is not an instance of %r"%(value, types))
def setUp(self):
root = os.path.join(
... | TestRegressions2 |
python | numpy__numpy | numpy/random/tests/test_direct.py | {
"start": 16176,
"end": 17634
} | class ____(Base):
@classmethod
def setup_class(cls):
cls.bit_generator = MT19937
cls.bits = 32
cls.dtype = np.uint32
cls.data1 = cls._read_csv(join(pwd, './data/mt19937-testset-1.csv'))
cls.data2 = cls._read_csv(join(pwd, './data/mt19937-testset-2.csv'))
cls.seed_... | TestMT19937 |
python | getsentry__sentry | tests/sentry/api/helpers/test_group_index.py | {
"start": 1933,
"end": 3911
} | class ____(TestCase):
def run_test(self, query: str) -> None:
validate_search_filter_permissions(self.organization, parse_search_query(query), self.user)
def assert_analytics_recorded(self, mock_record: Mock) -> None:
assert_last_analytics_event(
mock_record,
AdvancedSea... | ValidateSearchFilterPermissionsTest |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-google-ads/source_google_ads/components.py | {
"start": 13333,
"end": 15652
} | class ____(RecordTransformation):
"""
Transforms keys in a Google Ads record to snake_case.
The difference with KeysToSnakeCaseTransformation is that this transformation doesn't add underscore before digits.
"""
token_pattern: re.Pattern[str] = re.compile(
r"""
\d*[A-Z]+[a-z]*\d... | KeysToSnakeCaseGoogleAdsTransformation |
python | apache__airflow | task-sdk/tests/task_sdk/api/test_client.py | {
"start": 38878,
"end": 40723
} | class ____:
@pytest.mark.parametrize(
"request_params",
[
({"name": "this_asset", "uri": "s3://bucket/key"}),
({"alias_name": "this_asset_alias"}),
],
)
def test_by_name_get_success(self, request_params):
def handle_request(request: httpx.Request) -> h... | TestAssetEventOperations |
python | numpy__numpy | numpy/random/tests/test_randomstate.py | {
"start": 81444,
"end": 87749
} | class ____:
def _create_arrays(self):
return np.array([2]), np.array([3]), np.array([4]), (1,)
def test_one_arg_funcs(self):
argOne, _, _, tgtShape = self._create_arrays()
funcs = (random.exponential, random.standard_gamma,
random.chisquare, random.standard_t,
... | TestSingleEltArrayInput |
python | PrefectHQ__prefect | tests/blocks/test_core.py | {
"start": 87898,
"end": 93309
} | class ____:
def test_block_type_slug_is_included_in_dict(self):
assert "block_type_slug" in AChildBlock().model_dump()
def test_block_type_slug_respects_exclude(self):
assert "block_type_slug" not in AChildBlock().model_dump(
exclude={"block_type_slug"}
)
def test_block... | TestTypeDispatch |
python | pydata__xarray | asv_bench/benchmarks/dataarray_missing.py | {
"start": 978,
"end": 1872
} | class ____:
def setup(self, shape, chunks, limit):
if chunks is not None:
requires_dask()
self.da = make_bench_data(shape, 0.1, chunks)
@parameterized(
["shape", "chunks", "limit"],
(
[(365, 75, 75)],
[None, {"x": 25, "y": 25}],
[N... | DataArrayMissingBottleneck |
python | numba__llvmlite | llvmlite/binding/orcjit.py | {
"start": 395,
"end": 6749
} | class ____:
"""
Create a library for linking by OrcJIT
OrcJIT operates like a linker: a number of compilation units and
dependencies are collected together and linked into a single dynamic library
that can export functions to other libraries or to be consumed directly as
entry points into JITte... | JITLibraryBuilder |
python | apache__airflow | providers/google/tests/unit/google/cloud/operators/test_dlp.py | {
"start": 5443,
"end": 6321
} | class ____:
@mock.patch("airflow.providers.google.cloud.operators.dlp.CloudDLPHook")
def test_create_inspect_template(self, mock_hook):
mock_hook.return_value.create_inspect_template.return_value = InspectTemplate(name=DLP_JOB_PATH)
operator = CloudDLPCreateInspectTemplateOperator(organization_i... | TestCloudDLPCreateInspectTemplateOperator |
python | tensorflow__tensorflow | tensorflow/python/ops/control_flow_ops_test.py | {
"start": 65305,
"end": 65648
} | class ____(test_util.TensorFlowTestCase):
def testAsyncNoop(self):
@def_function.function
def f():
x = constant_op.constant(2)
with ops.control_dependencies([while_v2.async_noop()]):
y = x + 2
return y
self.assertEqual(self.evaluate(f()), 4)
if __name__ == "__main__":
goog... | AsyncNoopTest |
python | sqlalchemy__sqlalchemy | test/sql/test_metadata.py | {
"start": 30742,
"end": 58903
} | class ____(fixtures.TestBase, AssertsCompiledSQL, ComparesTables):
@testing.fixture
def copy_fixture(self, metadata):
from sqlalchemy.testing.schema import Table
table = Table(
"mytable",
metadata,
Column("myid", Integer, Sequence("foo_id_seq"), primary_key=... | ToMetaDataTest |
python | scrapy__scrapy | scrapy/extensions/telnet.py | {
"start": 905,
"end": 4070
} | class ____(protocol.ServerFactory):
def __init__(self, crawler: Crawler):
if not crawler.settings.getbool("TELNETCONSOLE_ENABLED"):
raise NotConfigured
self.crawler: Crawler = crawler
self.noisy: bool = False
self.portrange: list[int] = [
int(x) for x in craw... | TelnetConsole |
python | numpy__numpy | numpy/_core/memmap.py | {
"start": 406,
"end": 12651
} | class ____(ndarray):
"""Create a memory-map to an array stored in a *binary* file on disk.
Memory-mapped files are used for accessing small segments of large files
on disk, without reading the entire file into memory. NumPy's
memmap's are array-like objects. This differs from Python's ``mmap``
mo... | memmap |
python | dagster-io__dagster | python_modules/dagster/dagster/_core/loader.py | {
"start": 3148,
"end": 5389
} | class ____(ABC, Generic[TKey, TContext]):
"""Make An object Loadable by ID of type TKey using a LoadingContext."""
@classmethod
async def _batch_load(cls, keys: Iterable[TKey], context: TContext) -> Iterable[Optional[Self]]:
return cls._blocking_batch_load(keys, context)
@classmethod
@abst... | LoadableBy |
python | getsentry__sentry | tests/snuba/models/test_group.py | {
"start": 19268,
"end": 26061
} | class ____(TestCase, SnubaTestCase, OccurrenceTestMixin):
def setUp(self) -> None:
super().setUp()
self.project = self.create_project()
self.issue_occ_a, _ = self.process_occurrence(
project_id=self.project.id,
event_id="a" * 32,
event_data={
... | GroupTestSnubaOccurrenceIssue |
python | Textualize__textual | tests/test_binding_inheritance.py | {
"start": 13101,
"end": 14267
} | class ____(AppKeyRecorder):
"""An app with a non-default screen that handles movement key bindings."""
SCREENS = {"main": ScreenWithMovementBindings}
def on_mount(self) -> None:
self.push_screen("main")
async def test_contained_focused_child_widget_with_movement_bindings_on_screen() -> (
Non... | AppWithScreenWithBindingsWrappedWidgetNoBindings |
python | pyca__cryptography | tests/hazmat/primitives/test_aes.py | {
"start": 8970,
"end": 12737
} | class ____:
test_ctr = generate_encrypt_test(
load_nist_vectors,
os.path.join("ciphers", "AES", "CTR"),
["aes-128-ctr.txt", "aes-192-ctr.txt", "aes-256-ctr.txt"],
lambda key, **kwargs: algorithms.AES(binascii.unhexlify(key)),
lambda iv, **kwargs: modes.CTR(binascii.unhexlify(... | TestAESModeCTR |
python | xlwings__xlwings | xlwings/constants.py | {
"start": 96313,
"end": 96754
} | class ____:
xlPivotTableVersion10 = 1 # from enum XlPivotTableVersionList
xlPivotTableVersion11 = 2 # from enum XlPivotTableVersionList
xlPivotTableVersion12 = 3 # from enum XlPivotTableVersionList
xlPivotTableVersion14 = 4 # from enum XlPivotTableVersionList
xlPivotTableVersion2000 = 0 # from ... | PivotTableVersionList |
python | tensorflow__tensorflow | tensorflow/python/kernel_tests/array_ops/diag_op_test.py | {
"start": 31133,
"end": 37673
} | class ____(test.TestCase):
@test_util.run_deprecated_v1
def testSquare(self):
with self.session():
v = np.array([1.0, 2.0, 3.0])
mat = np.diag(v)
mat_diag = array_ops.matrix_diag_part(mat)
self.assertEqual((3,), mat_diag.get_shape())
self.assertAllEqual(mat_diag, v)
for off... | MatrixDiagPartTest |
python | apache__airflow | airflow-core/src/airflow/api_fastapi/execution_api/versions/v2025_11_07.py | {
"start": 1122,
"end": 2311
} | class ____(VersionChange):
"""Add the `partition_key` field to DagRun model."""
description = __doc__
instructions_to_migrate_to_previous_version = (
schema(DagRun).field("partition_key").didnt_exist,
schema(AssetEventResponse).field("partition_key").didnt_exist,
)
@convert_respon... | AddPartitionKeyField |
python | huggingface__transformers | src/transformers/models/cohere2_vision/modular_cohere2_vision.py | {
"start": 3572,
"end": 6493
} | class ____(AyaVisionModel):
_checkpoint_conversion_mapping = {}
def get_image_features(self, pixel_values: torch.FloatTensor):
"""
Obtains image last hidden states from the vision tower and apply multimodal projection.
Args:
pixel_values (`torch.FloatTensor]` of shape `(bat... | Cohere2VisionModel |
python | bokeh__bokeh | src/bokeh/core/property/visual.py | {
"start": 7066,
"end": 9049
} | class ____(Either):
""" Accept (min, max) bounds tuples for use with Ranges.
Bounds are provided as a tuple of ``(min, max)`` so regardless of whether your range is
increasing or decreasing, the first item should be the minimum value of the range and the
second item should be the maximum. Setting min >... | MinMaxBounds |
python | celery__celery | celery/worker/request.py | {
"start": 2011,
"end": 27859
} | class ____:
"""A request for task execution."""
acknowledged = False
time_start = None
worker_pid = None
time_limits = (None, None)
_already_revoked = False
_already_cancelled = False
_terminate_on_ack = None
_apply_result = None
_tzlocal = None
if not IS_PYPY: # pragma: n... | Request |
python | oauthlib__oauthlib | tests/oauth2/rfc6749/test_utils.py | {
"start": 471,
"end": 3725
} | class ____(TestCase):
def test_escape(self):
"""Assert that we are only escaping unicode"""
self.assertRaises(ValueError, escape, b"I am a string type. Not a unicode type.")
self.assertEqual(escape("I am a unicode type."), "I%20am%20a%20unicode%20type.")
def test_host_from_uri(self):
... | UtilsTests |
python | scipy__scipy | scipy/_lib/_util.py | {
"start": 23710,
"end": 23976
} | class ____:
"""
Object to wrap user's function, allowing picklability
"""
def __init__(self, f, args):
self.f = f
self.args = [] if args is None else args
def __call__(self, x):
return self.f(x, *self.args)
| _FunctionWrapper |
python | pyqtgraph__pyqtgraph | benchmarks/arrayToQPath.py | {
"start": 860,
"end": 988
} | class ____(_TimeSuite):
def __init__(self):
super().__init__()
self.have_nonfinite = True
| TimeSuiteWithNonFinite |
python | readthedocs__readthedocs.org | readthedocs/api/v2/views/integrations.py | {
"start": 2735,
"end": 13135
} | class ____:
"""Base class for Webhook mixins."""
permission_classes = (permissions.AllowAny,)
renderer_classes = (JSONRenderer,)
integration = None
integration_type = None
invalid_payload_msg = "Payload not valid"
missing_secret_deprecated_msg = dedent(
"""
This webhook does... | WebhookMixin |
python | ipython__ipython | IPython/core/history.py | {
"start": 5958,
"end": 19436
} | class ____(HistoryAccessorBase):
"""Access the history database without adding to it.
This is intended for use by standalone history tools. IPython shells use
HistoryManager, below, which is a subclass of this."""
# counter for init_db retries, so we don't keep trying over and over
_corrupt_db_cou... | HistoryAccessor |
python | django-extensions__django-extensions | django_extensions/management/email_notifications.py | {
"start": 150,
"end": 5312
} | class ____(BaseCommand):
"""
A BaseCommand subclass which adds sending email functionality.
Subclasses will have an extra command line option ``--email-notification``
and will be able to send emails by calling ``send_email_notification()``
if SMTP host and port are specified in settings. The handli... | EmailNotificationCommand |
python | mlflow__mlflow | mlflow/server/graphql/autogenerated_graphql_schema.py | {
"start": 10851,
"end": 11658
} | class ____(graphene.ObjectType):
mlflow_search_datasets = graphene.Field(MlflowSearchDatasetsResponse, input=MlflowSearchDatasetsInput())
mlflow_search_runs = graphene.Field(MlflowSearchRunsResponse, input=MlflowSearchRunsInput())
def resolve_mlflow_search_datasets(self, info, input):
input_dict = ... | MutationType |
python | dagster-io__dagster | python_modules/dagster/dagster/_core/instance/instance.py | {
"start": 3313,
"end": 39035
} | class ____(
SettingsMethods,
StorageMethods,
DaemonMethods,
RunLauncherMethods,
EventMethods,
SchedulingMethods,
AssetMethods,
RunMethods,
DynamicPartitionsStore,
):
"""Core abstraction for managing Dagster's access to storage and other resources.
Use DagsterInstance.get() t... | DagsterInstance |
python | allegroai__clearml | clearml/backend_api/services/v2_23/queues.py | {
"start": 26540,
"end": 27401
} | class ____(Response):
"""
Response of queues.create endpoint.
:param id: New queue ID
:type id: str
"""
_service = "queues"
_action = "create"
_version = "2.23"
_schema = {
"definitions": {},
"properties": {"id": {"description": "New queue ID", "type": ["string", "n... | CreateResponse |
python | coleifer__peewee | peewee.py | {
"start": 163690,
"end": 163747
} | class ____(_StringField):
field_type = 'TEXT'
| TextField |
python | pydantic__pydantic | pydantic/v1/errors.py | {
"start": 9818,
"end": 10080
} | class ____(PydanticValueError):
code = 'any_str.max_length'
msg_template = 'ensure this value has at most {limit_value} characters'
def __init__(self, *, limit_value: int) -> None:
super().__init__(limit_value=limit_value)
| AnyStrMaxLengthError |
python | streamlit__streamlit | lib/streamlit/source_util.py | {
"start": 979,
"end": 3168
} | class ____(TypedDict):
script_path: ScriptPath
page_script_hash: PageHash
icon: NotRequired[Icon]
page_name: NotRequired[PageName]
url_pathname: NotRequired[str]
def open_python_file(filename: str) -> TextIO:
"""Open a read-only Python file taking proper care of its encoding.
In Python 3,... | PageInfo |
python | apache__airflow | providers/openlineage/src/airflow/providers/openlineage/utils/sql.py | {
"start": 1373,
"end": 1764
} | class ____(IntEnum):
"""Enumerates the indices of columns in information schema view."""
SCHEMA = 0
TABLE_NAME = 1
COLUMN_NAME = 2
ORDINAL_POSITION = 3
# Use 'udt_name' which is the underlying type of column
UDT_NAME = 4
# Database is optional as 6th column
DATABASE = 5
TablesHier... | ColumnIndex |
python | apache__airflow | airflow-core/tests/unit/api_fastapi/core_api/routes/public/test_pools.py | {
"start": 8342,
"end": 14720
} | class ____(TestPoolsEndpoint):
@pytest.mark.parametrize(
("pool_name", "query_params", "body", "expected_status_code", "expected_response"),
[
# Error
(
Pool.DEFAULT_POOL_NAME,
{},
{},
400,
{"deta... | TestPatchPool |
python | huggingface__transformers | src/transformers/models/xlm_roberta/tokenization_xlm_roberta.py | {
"start": 1128,
"end": 4915
} | class ____(TokenizersBackend):
r"""
Construct an XLM-RoBERTa tokenizer (backed by HuggingFace's tokenizers library). Based on SentencePiece.
This tokenizer inherits from [`TokenizersBackend`] which contains most of the main methods. Users should refer to
this superclass for more information regarding t... | XLMRobertaTokenizer |
python | apache__airflow | providers/databricks/src/airflow/providers/databricks/operators/databricks_repos.py | {
"start": 1289,
"end": 6775
} | class ____(BaseOperator):
"""
Creates, and optionally checks out, a Databricks Repo using the POST api/2.0/repos API endpoint.
See: https://docs.databricks.com/dev-tools/api/latest/repos.html#operation/create-repo
:param git_url: Required HTTPS URL of a Git repository
:param git_provider: Optiona... | DatabricksReposCreateOperator |
python | django-haystack__django-haystack | haystack/fields.py | {
"start": 10671,
"end": 11577
} | class ____(SearchField):
field_type = "date"
def __init__(self, **kwargs):
if kwargs.get("facet_class") is None:
kwargs["facet_class"] = FacetDateField
super().__init__(**kwargs)
def prepare(self, obj):
return self.convert(super().prepare(obj))
def convert(self, v... | DateField |
python | apache__airflow | providers/google/src/airflow/providers/google/cloud/links/data_loss_prevention.py | {
"start": 2719,
"end": 3015
} | class ____(BaseGoogleLink):
"""Helper class for constructing Cloud Data Loss Prevention link."""
name = "Cloud DLP Deidentify Template Details"
key = "cloud_dlp_deidentify_template_details_key"
format_str = DLP_DEIDENTIFY_TEMPLATE_DETAILS_LINK
| CloudDLPDeidentifyTemplateDetailsLink |
python | pypa__setuptools | setuptools/_vendor/inflect/__init__.py | {
"start": 39998,
"end": 40941
} | class ____(str):
lowered: str
split_: List[str]
first: str
last: str
def __init__(self, orig) -> None:
self.lowered = self.lower()
self.split_ = self.split()
self.first = self.split_[0]
self.last = self.split_[-1]
Falsish = Any # ideally, falsish would only valida... | Words |
python | allegroai__clearml | clearml/backend_api/services/v2_20/events.py | {
"start": 21170,
"end": 23303
} | class ____(NonStrictDataModel):
"""
:param task: Task ID
:type task: str
:param metric: Metric name
:type metric: str
:param variants: Metric variant names
:type variants: Sequence[str]
"""
_schema = {
"properties": {
"metric": {"description": "Metric name", "typ... | TaskMetricVariants |
python | huggingface__transformers | examples/pytorch/multiple-choice/run_swag.py | {
"start": 3642,
"end": 16947
} | class ____:
"""
Arguments pertaining to what data we are going to input our model for training and eval.
"""
train_file: Optional[str] = field(default=None, metadata={"help": "The input training data file (a text file)."})
validation_file: Optional[str] = field(
default=None,
metada... | DataTrainingArguments |
python | tensorflow__tensorflow | tensorflow/python/data/experimental/ops/readers.py | {
"start": 34548,
"end": 48481
} | class ____(dataset_ops.DatasetV1Adapter):
"""A Dataset comprising lines from one or more CSV files."""
@functools.wraps(CsvDatasetV2.__init__, ("__module__", "__name__"))
def __init__(self,
filenames,
record_defaults,
compression_type=None,
buffer_size=... | CsvDatasetV1 |
python | PrefectHQ__prefect | tests/blocks/test_abstract.py | {
"start": 236,
"end": 1059
} | class ____:
def test_credentials_block_is_abstract(self):
with pytest.raises(
TypeError, match="Can't instantiate abstract class CredentialsBlock"
):
CredentialsBlock()
def test_credentials_block_implementation(self, caplog):
class ACredentialsBlock(CredentialsBl... | TestCredentialsBlock |
python | getsentry__sentry | src/sentry/workflow_engine/typings/notification_action.py | {
"start": 10920,
"end": 11647
} | class ____(BaseActionTranslator):
@property
def action_type(self) -> ActionType:
return ActionType.MSTEAMS
@property
def required_fields(self) -> list[str]:
return [
ACTION_FIELD_MAPPINGS[ActionType.MSTEAMS][
ActionFieldMappingKeys.INTEGRATION_ID_KEY.value
... | MSTeamsActionTranslator |
python | walkccc__LeetCode | solutions/3327. Check if DFS Strings Are Palindromes/3327.py | {
"start": 0,
"end": 2376
} | class ____:
def findAnswer(self, parent: list[int], s: str) -> list[bool]:
n = len(parent)
tree = [[] for _ in parent]
start = [0] * n # start[i] := the start index of `dfsStr` of node i
end = [0] * n # end[i] := the end index of `dfsStr` of node i
dfsStr = []
for i in range(1, n):
tr... | Solution |
python | scipy__scipy | scipy/linalg/tests/test_lapack.py | {
"start": 2502,
"end": 5847
} | class ____:
def test_gebal(self):
a = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
a1 = [[1, 0, 0, 3e-4],
[4, 0, 0, 2e-3],
[7, 1, 0, 0],
[0, 1, 0, 0]]
for p in 'sdzc':
f = getattr(flapack, p+'gebal', None)
if f is None:
... | TestFlapackSimple |
python | tensorflow__tensorflow | tensorflow/examples/custom_ops_doc/simple_hash_table/simple_hash_table_test.py | {
"start": 1114,
"end": 4851
} | class ____(tf.test.TestCase, parameterized.TestCase):
# Helper function using "create, find, insert, find, remove, find
def _use_table(self, key_dtype, value_dtype):
hash_table = simple_hash_table.SimpleHashTable(key_dtype, value_dtype, 111)
result1 = hash_table.find(1, -999)
hash_table.insert(1, 100)
... | SimpleHashTableTest |
python | davidhalter__jedi | jedi/inference/arguments.py | {
"start": 1059,
"end": 4449
} | class ____(Exception):
pass
def repack_with_argument_clinic(clinic_string):
"""
Transforms a function or method with arguments to the signature that is
given as an argument clinic notation.
Argument clinic is part of CPython and used for all the functions that are
implemented in C (Python 3.7... | ParamIssue |
python | miyuchina__mistletoe | test/test_html_renderer.py | {
"start": 5359,
"end": 6228
} | class ____(TestCase):
@parameterized.expand([
(False, False, '" and \''),
(False, True, '" and ''),
(True, False, '" and \''),
(True, True, '" and ''),
])
def test_escape_html_text(self, escape_double, escape_single, expected):
with HtmlRenderer(ht... | TestHtmlRendererEscaping |
python | PyCQA__pylint | tests/functional/t/too/too_many_ancestors_ignored_parents.py | {
"start": 651,
"end": 709
} | class ____(B, C): # [too-many-ancestors]
"""5 parents"""
| A |
python | fluentpython__example-code-2e | 05-data-classes/meaning/demo_dc.py | {
"start": 46,
"end": 148
} | class ____:
a: int # <1>
b: float = 1.1 # <2>
c = 'spam' # <3>
| DemoDataClass |
python | getsentry__sentry | tests/sentry/integrations/discord/test_utils.py | {
"start": 580,
"end": 1404
} | class ____(TestCase):
def test_verify_signature_valid(self) -> None:
public_key_string = "3AC1A3E56E967E1C61E3D17B37FA1865CB20CD6C54418631F4E8AE4D1E83EE0E"
signature = "DBC99471F8DD30BA0F488912CF9BA7AC1E938047782BB72FF9A6873D452A1A75DC9F8A07182B8EB7FC67A3771C2271D568DCDC2AB2A5D927A42A4F0FC233C506"
... | AuthTest |
python | paramiko__paramiko | tests/_stub_sftp.py | {
"start": 1116,
"end": 1347
} | class ____(ServerInterface):
def check_auth_password(self, username, password):
# all are allowed
return AUTH_SUCCESSFUL
def check_channel_request(self, kind, chanid):
return OPEN_SUCCEEDED
| StubServer |
python | great-expectations__great_expectations | great_expectations/exceptions/exceptions.py | {
"start": 4396,
"end": 4541
} | class ____(GreatExpectationsError):
def __init__(self) -> None:
super().__init__("No available batches found.")
| NoAvailableBatchesError |
python | huggingface__transformers | src/transformers/models/distilbert/modeling_distilbert.py | {
"start": 8978,
"end": 10216
} | class ____(GradientCheckpointingLayer):
def __init__(self, config: PreTrainedConfig):
super().__init__()
# Have an even number of Configure multi-heads
if config.dim % config.n_heads != 0:
raise ValueError(f"config.n_heads {config.n_heads} must divide config.dim {config.dim} eve... | TransformerBlock |
python | doocs__leetcode | solution/2000-2099/2025.Maximum Number of Ways to Partition an Array/Solution.py | {
"start": 0,
"end": 662
} | class ____:
def waysToPartition(self, nums: List[int], k: int) -> int:
n = len(nums)
s = [nums[0]] * n
right = defaultdict(int)
for i in range(1, n):
s[i] = s[i - 1] + nums[i]
right[s[i - 1]] += 1
ans = 0
if s[-1] % 2 == 0:
ans = r... | Solution |
python | getsentry__sentry | src/sentry/replays/usecases/ingest/event_parser.py | {
"start": 970,
"end": 1068
} | class ____:
click_event: ClickEvent
click_count: int
@dataclass(frozen=True)
| MultiClickEvent |
python | pytorch__pytorch | test/distributed/fsdp/test_fsdp_sharded_grad_scaler.py | {
"start": 6056,
"end": 13989
} | class ____(FSDPTest):
def _get_init_modes_for_test(self, cpu_offload):
modes = [DEVICEInitMode.DEVICE_AFTER, DEVICEInitMode.DEVICE_BEFORE]
# Note that DEVICEInitMode.DEVICE_NEVER works currently only with CPU
# offload as we explicitly bring the param back to CUDA device. In
# genera... | TestShardedGradScalerParityWithDDP |
python | gevent__gevent | src/gevent/libev/watcher.py | {
"start": 6393,
"end": 6443
} | class ____(_base.CheckMixin, watcher):
pass
| check |
python | facebookresearch__faiss | tests/test_factory.py | {
"start": 12503,
"end": 12981
} | class ____(unittest.TestCase):
def test_constructor(self):
index = faiss.IndexIVFSpectralHash(faiss.IndexFlat(10), 10, 20, 10, 1)
gc.collect()
index.quantizer.ntotal # this should not crash
def test_replace_vt(self):
index = faiss.IndexIVFSpectralHash(faiss.IndexFlat(10), 10,... | TestIVFSpectralHashOwnership |
python | pytorch__pytorch | benchmarks/tensorexpr/reduction.py | {
"start": 5104,
"end": 5571
} | class ____(Reduce2DBench):
def __init__(self, mode, device, dtype, dim0, dim1):
super().__init__(mode, device, dtype, 1, dim0, dim1)
@staticmethod
def default_configs():
parent_config = Reduce2DBench.default_configs()[0]
return [parent_config[1:]]
def config(self):
pare... | Reduce2DInnerBench |
python | django__django | tests/serializers/test_jsonl.py | {
"start": 362,
"end": 9105
} | class ____(SerializersTestBase, TestCase):
serializer_name = "jsonl"
pkless_str = [
'{"pk": null,"model": "serializers.category","fields": {"name": "Reference"}}',
'{"model": "serializers.category","fields": {"name": "Non-fiction"}}',
]
pkless_str = "\n".join([s.replace("\n", "") for s i... | JsonlSerializerTestCase |
python | apache__airflow | task-sdk/src/airflow/sdk/definitions/asset/__init__.py | {
"start": 7141,
"end": 8491
} | class ____:
"""
Protocol for all asset triggers to use in ``DAG(schedule=...)``.
:meta private:
"""
def __bool__(self) -> bool:
return True
def __or__(self, other: BaseAsset) -> BaseAsset:
if not isinstance(other, BaseAsset):
return NotImplemented
return As... | BaseAsset |
python | pandas-dev__pandas | pandas/tests/plotting/frame/test_hist_box_by.py | {
"start": 548,
"end": 6611
} | class ____:
@pytest.mark.slow
@pytest.mark.parametrize(
"by, column, titles, legends",
[
("C", "A", ["a", "b", "c"], [["A"]] * 3),
("C", ["A", "B"], ["a", "b", "c"], [["A", "B"]] * 3),
("C", None, ["a", "b", "c"], [["A", "B"]] * 3),
(
... | TestHistWithBy |
python | spyder-ide__spyder | spyder/api/widgets/main_container.py | {
"start": 516,
"end": 5438
} | class ____(QWidget, SpyderWidgetMixin):
"""
Spyder plugin main container class.
This class handles a non-dockable widget to be able to contain, parent and
store references to other widgets, like status bar widgets, toolbars,
context menus, etc.
Notes
-----
All Spyder non dockable plugi... | PluginMainContainer |
python | anthropics__anthropic-sdk-python | src/anthropic/types/beta/beta_tool_text_editor_20250429_param.py | {
"start": 361,
"end": 1086
} | class ____(TypedDict, total=False):
name: Required[Literal["str_replace_based_edit_tool"]]
"""Name of the tool.
This is how the tool will be called by the model and in `tool_use` blocks.
"""
type: Required[Literal["text_editor_20250429"]]
allowed_callers: List[Literal["direct", "code_executio... | BetaToolTextEditor20250429Param |
python | apache__airflow | providers/apache/kafka/src/airflow/providers/apache/kafka/hooks/client.py | {
"start": 1039,
"end": 2686
} | class ____(KafkaBaseHook):
"""
A hook for interacting with the Kafka Cluster.
:param kafka_config_id: The connection object to use, defaults to "kafka_default"
"""
def __init__(self, kafka_config_id=KafkaBaseHook.default_conn_name) -> None:
super().__init__(kafka_config_id=kafka_config_id)... | KafkaAdminClientHook |
python | sphinx-doc__sphinx | sphinx/errors.py | {
"start": 87,
"end": 860
} | class ____(Exception):
"""Base class for Sphinx errors.
This is the base class for "nice" exceptions. When such an exception is
raised, Sphinx will abort the build and present the exception category and
message to the user.
Extensions are encouraged to derive from this exception for their custom
... | SphinxError |
python | huggingface__transformers | src/transformers/models/data2vec/modeling_data2vec_text.py | {
"start": 20811,
"end": 21376
} | class ____(PreTrainedModel):
config_class = Data2VecTextConfig
base_model_prefix = "data2vec_text"
supports_gradient_checkpointing = True
_no_split_modules = ["Data2VecTextForTextEmbeddings", "Data2VecTextLayer"]
_supports_flash_attn = True
_supports_sdpa = True
_supports_flex_attn = True
... | Data2VecTextPreTrainedModel |
python | run-llama__llama_index | llama-index-packs/llama-index-packs-code-hierarchy/tests/test_code_hierarchy_with_skeleton.py | {
"start": 12739,
"end": 13565
} | class ____ {{
{double_forward_slash} {CodeHierarchyNodeParser._get_comment_text(chunks[2])}
}}
function baz() {{
{double_forward_slash} {CodeHierarchyNodeParser._get_comment_text(chunks[4])}
}}"""
)
# Test the second chunk (function foo)
assert (
chunks[1].text
== """\
function foo... | Example |
python | scrapy__scrapy | tests/test_spidermiddleware_referer.py | {
"start": 24133,
"end": 24310
} | class ____(
MixinNoReferrerWhenDowngrade, TestRefererMiddleware
):
req_meta = {"referrer_policy": POLICY_NO_REFERRER_WHEN_DOWNGRADE}
| TestRequestMetaNoReferrerWhenDowngrade |
python | huggingface__transformers | src/transformers/models/qwen2_audio/modeling_qwen2_audio.py | {
"start": 4079,
"end": 7848
} | class ____(nn.Module):
"""Multi-headed attention from 'Attention Is All You Need' paper"""
# Copied from transformers.models.whisper.modeling_whisper.WhisperAttention.__init__ with Whisper->Qwen2Audio
def __init__(
self,
embed_dim: int,
num_heads: int,
dropout: float = 0.0,
... | Qwen2AudioAttention |
python | huggingface__transformers | src/transformers/models/mobilevitv2/modeling_mobilevitv2.py | {
"start": 26977,
"end": 29058
} | class ____(nn.Module):
"""
ASPP module defined in DeepLab papers: https://huggingface.co/papers/1606.00915, https://huggingface.co/papers/1706.05587
"""
def __init__(self, config: MobileViTV2Config) -> None:
super().__init__()
encoder_out_channels = make_divisible(512 * config.width_mu... | MobileViTV2ASPP |
python | kamyu104__LeetCode-Solutions | Python/count-negative-numbers-in-a-sorted-matrix.py | {
"start": 33,
"end": 361
} | class ____(object):
def countNegatives(self, grid):
"""
:type grid: List[List[int]]
:rtype: int
"""
result, c = 0, len(grid[0])-1
for row in grid:
while c >= 0 and row[c] < 0:
c -= 1
result += len(grid[0])-1-c
return res... | Solution |
python | dagster-io__dagster | python_modules/dagster/dagster/_core/scheduler/instigation.py | {
"start": 8288,
"end": 11404
} | class ____(
NamedTuple(
"_InstigationState",
[
("origin", RemoteInstigatorOrigin),
("instigator_type", InstigatorType),
("status", InstigatorStatus),
("instigator_data", Optional[InstigatorData]),
],
)
):
def __new__(
cls,
... | InstigatorState |
python | apache__airflow | providers/elasticsearch/tests/unit/elasticsearch/hooks/test_elasticsearch.py | {
"start": 4213,
"end": 7572
} | class ____:
def setup_method(self):
sql = MagicMock(spec=SqlClient)
sql.query.side_effect = RESPONSES
es = MagicMock(sql=sql, spec=Elasticsearch)
self.cur = ElasticsearchSQLCursor(es=es, options={})
self.spy_agency = SpyAgency()
self.spy_agency.spy_on(self.cur.close, ... | TestElasticsearchSQLHook |
python | ray-project__ray | rllib/env/env_runner_group.py | {
"start": 1752,
"end": 55212
} | class ____:
"""Set of EnvRunners with n @ray.remote workers and zero or one local worker.
Where: n >= 0.
"""
def __init__(
self,
*,
env_creator: Optional[EnvCreator] = None,
validate_env: Optional[Callable[[EnvType], None]] = None,
default_policy_class: Optional... | EnvRunnerGroup |
python | gevent__gevent | src/greentest/3.12/test_interpreters.py | {
"start": 1600,
"end": 2011
} | class ____(unittest.TestCase):
def os_pipe(self):
r, w = os.pipe()
def cleanup():
try:
os.close(w)
except Exception:
pass
try:
os.close(r)
except Exception:
pass
self.addCleanup(c... | TestBase |
python | tensorflow__tensorflow | tensorflow/python/ops/parsing_config.py | {
"start": 12075,
"end": 15150
} | class ____(
collections.namedtuple(
"SparseFeature",
["index_key", "value_key", "dtype", "size", "already_sorted"])):
"""Configuration for parsing a sparse input feature from an `Example`.
Note, preferably use `VarLenFeature` (possibly in combination with a
`SequenceExample`) in order to pars... | SparseFeature |
python | plotly__plotly.py | plotly/graph_objs/funnel/legendgrouptitle/_font.py | {
"start": 233,
"end": 9921
} | class ____(_BaseTraceHierarchyType):
_parent_path_str = "funnel.legendgrouptitle"
_path_str = "funnel.legendgrouptitle.font"
_valid_props = {
"color",
"family",
"lineposition",
"shadow",
"size",
"style",
"textcase",
"variant",
"weight",... | Font |
python | getsentry__sentry | src/sentry/models/files/abstractfileblobowner.py | {
"start": 110,
"end": 300
} | class ____(Model):
__relocation_scope__ = RelocationScope.Excluded
organization_id = BoundedBigIntegerField(db_index=True)
class Meta:
abstract = True
| AbstractFileBlobOwner |
python | optuna__optuna | tests/storages_tests/rdb_tests/test_models.py | {
"start": 4839,
"end": 7476
} | class ____:
@staticmethod
def test_default_datetime(session: Session) -> None:
# Regardless of the initial state the trial created here should have null datetime_start
session.add(TrialModel(state=TrialState.WAITING))
session.commit()
trial_model = session.query(TrialModel).firs... | TestTrialModel |
python | pytorch__pytorch | torch/distributed/checkpoint/filesystem.py | {
"start": 16521,
"end": 18520
} | class ____(FileSystemBase):
@contextmanager
def create_stream(
self, path: Union[str, os.PathLike], mode: str
) -> Generator[io.IOBase, None, None]:
if not isinstance(path, Path):
path = Path(path)
with path.open(mode) as stream:
yield cast(io.IOBase, stream)
... | FileSystem |
python | pypa__warehouse | tests/unit/manage/test_forms.py | {
"start": 453,
"end": 2308
} | class ____:
def test_validate(self):
user_service = pretend.stub(find_userid=pretend.call_recorder(lambda userid: 1))
form = forms.CreateRoleForm(
formdata=MultiDict({"role_name": "Owner", "username": "valid_username"}),
user_service=user_service,
)
assert fo... | TestCreateRoleForm |
python | apache__airflow | providers/google/tests/unit/google/cloud/operators/test_datacatalog.py | {
"start": 9679,
"end": 11487
} | class ____:
@mock.patch(
"airflow.providers.google.cloud.operators.datacatalog.CloudDataCatalogHook",
**{"return_value.create_entry_group.return_value": TEST_ENTRY_GROUP},
)
def test_assert_valid_hook_call(self, mock_hook) -> None:
with pytest.warns(AirflowProviderDeprecationWarning)... | TestCloudDataCatalogCreateEntryGroupOperator |
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