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 | apache__airflow | providers/fab/src/airflow/providers/fab/auth_manager/views/user.py | {
"start": 4055,
"end": 4869
} | class ____(MultiResourceUserMixin, UserRemoteUserModelView):
"""Customize permission names for FAB's builtin UserRemoteUserModelView."""
_class_permission_name = permissions.RESOURCE_USER
class_permission_name_mapping = {
"userinfoedit": permissions.RESOURCE_MY_PROFILE,
"userinfo": permiss... | CustomUserRemoteUserModelView |
python | apache__airflow | providers/google/src/airflow/providers/google/suite/transfers/gcs_to_gdrive.py | {
"start": 1339,
"end": 7947
} | class ____(BaseOperator):
"""
Copies objects from a Google Cloud Storage service to a Google Drive service, with renaming if requested.
Using this operator requires the following OAuth 2.0 scope:
.. code-block:: none
https://www.googleapis.com/auth/drive
.. seealso::
For more inf... | GCSToGoogleDriveOperator |
python | getsentry__sentry | src/sentry/lang/native/symbolicator.py | {
"start": 2498,
"end": 15574
} | class ____:
def __init__(
self,
task_kind: SymbolicatorTaskKind,
on_request: Callable[[], None],
project: Project,
event_id: str,
):
URLS = settings.SYMBOLICATOR_POOL_URLS
pool = pool_for_platform(task_kind.platform)
base_url = (
URLS.... | Symbolicator |
python | huggingface__transformers | src/transformers/models/plbart/modeling_plbart.py | {
"start": 10710,
"end": 13723
} | class ____(GradientCheckpointingLayer):
def __init__(self, config: PLBartConfig, layer_idx: Optional[int] = None):
super().__init__()
self.embed_dim = config.d_model
self.self_attn = PLBartAttention(
embed_dim=self.embed_dim,
num_heads=config.encoder_attention_heads,... | PLBartEncoderLayer |
python | aio-libs__aiohttp | aiohttp/multipart.py | {
"start": 38054,
"end": 40066
} | class ____:
def __init__(self, writer: Any) -> None:
self._writer = writer
self._encoding: str | None = None
self._compress: ZLibCompressor | None = None
self._encoding_buffer: bytearray | None = None
def enable_encoding(self, encoding: str) -> None:
if encoding == "base... | MultipartPayloadWriter |
python | jina-ai__jina | jina/serve/runtimes/gateway/gateway.py | {
"start": 1184,
"end": 1390
} | class ____(JAMLCompatible, metaclass=GatewayType):
"""
The base class of all custom Gateways, can be used to build a custom interface to a Jina Flow that supports
gateway logic
"""
| BaseGateway |
python | redis__redis-py | redis/cache.py | {
"start": 2510,
"end": 3451
} | class ____(ABC):
@property
@abstractmethod
def collection(self) -> OrderedDict:
pass
@property
@abstractmethod
def config(self) -> CacheConfigurationInterface:
pass
@property
@abstractmethod
def eviction_policy(self) -> EvictionPolicyInterface:
pass
@pr... | CacheInterface |
python | microsoft__pyright | packages/pyright-internal/src/tests/samples/classes1.py | {
"start": 354,
"end": 391
} | class ____(metaclass=EMeta):
pass
| E |
python | altair-viz__altair | altair/utils/execeval.py | {
"start": 369,
"end": 2716
} | class ____:
"""Class to temporarily catch sys.displayhook."""
def __init__(self) -> None:
self.output: Any | None = None
def __enter__(self) -> Self:
self.old_hook: Callable[[object], Any] = sys.displayhook
sys.displayhook = self
return self
def __exit__(self, type, va... | _CatchDisplay |
python | pandas-dev__pandas | pandas/tests/indexes/datetimes/test_npfuncs.py | {
"start": 81,
"end": 384
} | class ____:
def test_split_non_utc(self):
# GH#14042
indices = date_range("2016-01-01 00:00:00+0200", freq="s", periods=10)
result = np.split(indices, indices_or_sections=[])[0]
expected = indices._with_freq(None)
tm.assert_index_equal(result, expected)
| TestSplit |
python | zarr-developers__zarr-python | src/zarr/testing/store.py | {
"start": 782,
"end": 20748
} | class ____(Generic[S, B]):
store_cls: type[S]
buffer_cls: type[B]
@abstractmethod
async def set(self, store: S, key: str, value: Buffer) -> None:
"""
Insert a value into a storage backend, with a specific key.
This should not use any store methods. Bypassing the store methods al... | StoreTests |
python | pyparsing__pyparsing | examples/pythonGrammarParser.py | {
"start": 5883,
"end": 5942
} | class ____(SemanticGroup):
label = "AND"
pass
| AndList |
python | Textualize__textual | src/textual/demo/projects.py | {
"start": 656,
"end": 2604
} | class ____(Vertical, can_focus=True, can_focus_children=False):
"""Display project information and open repo links."""
ALLOW_MAXIMIZE = True
DEFAULT_CSS = """
Project {
width: 1fr;
height: auto;
padding: 0 1;
border: tall transparent;
box-sizing: border-box;
... | Project |
python | kamyu104__LeetCode-Solutions | Python/count-artifacts-that-can-be-extracted.py | {
"start": 115,
"end": 611
} | class ____(object):
def digArtifacts(self, n, artifacts, dig):
"""
:type n: int
:type artifacts: List[List[int]]
:type dig: List[List[int]]
:rtype: int
"""
lookup = set(map(tuple, dig))
return sum(all((i, j) in lookup for i in xrange(r1, r2+1) for j in... | Solution |
python | huggingface__transformers | src/transformers/models/kosmos2/modeling_kosmos2.py | {
"start": 35187,
"end": 36132
} | class ____(nn.Module):
def __init__(self, config: Kosmos2TextConfig):
super().__init__()
self.dropout = config.dropout
self.activation_fn = ACT2FN[config.activation_function]
self.activation_dropout = config.activation_dropout
self.fc1 = nn.Linear(config.embed_dim, config.f... | Kosmos2TextFFN |
python | PrefectHQ__prefect | tests/cli/test_deploy.py | {
"start": 218681,
"end": 221677
} | class ____:
@pytest.fixture
async def work_pool(self, prefect_client):
await prefect_client.create_work_pool(
WorkPoolCreate(name="test-pool", type="test")
)
async def test_uses_job_variables(
self,
project_dir: Path,
work_pool: WorkPool,
prefect_... | TestDeployInfraOverrides |
python | sqlalchemy__sqlalchemy | lib/sqlalchemy/dialects/mssql/base.py | {
"start": 42373,
"end": 43573
} | class ____(sqltypes._Binary):
"""Implement the SQL Server TIMESTAMP type.
Note this is **completely different** than the SQL Standard
TIMESTAMP type, which is not supported by SQL Server. It
is a read-only datatype that does not support INSERT of values.
.. seealso::
:class:`_mssql.ROWVE... | TIMESTAMP |
python | gevent__gevent | src/gevent/tests/test__pywsgi.py | {
"start": 24930,
"end": 34654
} | class ____(TestCase):
calls = 0
def setUp(self):
super().setUp()
self.calls = 0
def application(self, env, start_response):
self.calls += 1
self.assertTrue(env.get('wsgi.input_terminated'))
start_response('200 OK', [('Content-Type', 'text/plain')])
if env['... | TestChunkedPost |
python | numba__numba | numba/cuda/stubs.py | {
"start": 6929,
"end": 7075
} | class ____(Stub):
"""
brev(x)
Returns the reverse of the bit pattern of x. For example, 0b10110110
becomes 0b01101101.
"""
| brev |
python | pytorch__pytorch | torch/testing/_internal/common_utils.py | {
"start": 119837,
"end": 119932
} | class ____:
# causes pytest to not recognize this class as a test
__test__ = False
| NoTest |
python | geekcomputers__Python | venv/Lib/site-packages/pip/_internal/utils/logging.py | {
"start": 6842,
"end": 11606
} | class ____(Filter):
"""
A logging Filter that excludes records from a logger (or its children).
"""
def filter(self, record: logging.LogRecord) -> bool:
# The base Filter class allows only records from a logger (or its
# children).
return not super().filter(record)
def setup_l... | ExcludeLoggerFilter |
python | ray-project__ray | rllib/examples/envs/classes/multi_agent/footsies/game/footsies_binary.py | {
"start": 463,
"end": 1123
} | class ____:
# Uploaded 07.28.2025
S3_ROOT = "https://ray-example-data.s3.us-west-2.amazonaws.com/rllib/env-footsies/binaries/"
# Zip file names
ZIP_LINUX_SERVER = "footsies_linux_server_021725.zip"
ZIP_LINUX_WINDOWED = "footsies_linux_windowed_021725.zip"
ZIP_MAC_HEADLESS = "footsies_mac_headle... | BinaryUrls |
python | ansible__ansible | test/units/module_utils/facts/system/test_lsb.py | {
"start": 1509,
"end": 4399
} | class ____(BaseFactsTest):
__test__ = True
gather_subset = ['!all', 'lsb']
valid_subsets = ['lsb']
fact_namespace = 'ansible_lsb'
collector_class = LSBFactCollector
def _mock_module(self):
mock_module = Mock()
mock_module.params = {'gather_subset': self.gather_subset,
... | TestLSBFacts |
python | sphinx-doc__sphinx | sphinx/search/de.py | {
"start": 191,
"end": 589
} | class ____(SearchLanguage):
lang = 'de'
language_name = 'German'
js_stemmer_rawcode = 'german-stemmer.js'
stopwords = GERMAN_STOPWORDS
def __init__(self, options: dict[str, str]) -> None:
super().__init__(options)
self.stemmer = snowballstemmer.stemmer('german')
def stem(self, ... | SearchGerman |
python | pypa__setuptools | setuptools/_distutils/tests/support.py | {
"start": 1370,
"end": 4099
} | class ____:
"""Class to store options for retrieval via set_undefined_options()."""
def __init__(self, **kwargs):
vars(self).update(kwargs)
def ensure_finalized(self):
pass
def copy_xxmodule_c(directory):
"""Helper for tests that need the xxmodule.c source file.
Example use:
... | DummyCommand |
python | astropy__astropy | astropy/io/fits/column.py | {
"start": 13810,
"end": 15223
} | class ____(str):
"""For P format in variable length table."""
# As far as I can tell from my reading of the FITS standard, a type code is
# *required* for P and Q formats; there is no default
_format_re_template = (
r"(?P<repeat>\d+)?{}(?P<dtype>[LXBIJKAEDCM])(?:\((?P<max>\d*)\))?"
)
_f... | _FormatP |
python | django-extensions__django-extensions | tests/management/commands/test_update_permissions.py | {
"start": 405,
"end": 2905
} | class ____(TestCase):
def setUp(self):
class PermModel(models.Model):
class Meta:
app_label = "django_extensions"
permissions = (("test_permission", "test_permission"),)
class TestModel(models.Model):
class Meta:
app_label = "t... | UpdatePermissionsTests |
python | PrefectHQ__prefect | src/integrations/prefect-github/prefect_github/schemas/graphql_schema.py | {
"start": 730260,
"end": 730526
} | class ____(sgqlc.types.Type, Contribution):
"""
See source code for more info.
"""
__schema__ = graphql_schema
__field_names__ = ("issue",)
issue = sgqlc.types.Field(sgqlc.types.non_null("Issue"), graphql_name="issue")
| CreatedIssueContribution |
python | pytorch__pytorch | test/torch_np/numpy_tests/core/test_scalar_ctors.py | {
"start": 2333,
"end": 3328
} | class ____(TestCase):
"""gh-15467"""
def _do_test(self, t1, t2):
x = t1(2)
arr = np.array(x, dtype=t2)
# type should be preserved exactly
if t2 is None:
assert arr.dtype.type is t1
else:
assert arr.dtype.type is t2
arr1 = np.asarray(x, dt... | TestArrayFromScalar |
python | pypa__pip | src/pip/_internal/utils/temp_dir.py | {
"start": 994,
"end": 2079
} | 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 | walkccc__LeetCode | solutions/2340. Minimum Adjacent Swaps to Make a Valid Array/2340.py | {
"start": 0,
"end": 714
} | class ____:
def minimumSwaps(self, nums: list[int]) -> int:
minIndex = self._getLeftmostMinIndex(nums)
maxIndex = self._getRightmostMaxIndex(nums)
swaps = minIndex + (len(nums) - 1 - maxIndex)
return swaps if minIndex <= maxIndex else swaps - 1
def _getLeftmostMinIndex(self, nums: list[int]) -> int... | Solution |
python | google__jax | tests/api_test.py | {
"start": 259448,
"end": 260134
} | class ____(jtu.JaxTestCase):
def test_sharding_constraint_as_noop(self):
def f(x):
return jax.lax.with_sharding_constraint(
x, jax.sharding.SingleDeviceSharding(jax.devices()[0]))
def wsc_as_noop(ctx, operand, *args, **kwargs):
del ctx, args, kwargs
return [operand]
rules = ... | OverrideLoweringTest |
python | charliermarsh__ruff | crates/ruff_linter/resources/test/fixtures/pyflakes/F841_0.py | {
"start": 3084,
"end": 3175
} | class ____:
def foo():
nonlocal __class__
__class__ = 1
| NonlocalDunderClass |
python | scipy__scipy | scipy/optimize/tests/test__shgo.py | {
"start": 7557,
"end": 7933
} | class ____(StructTestFunction):
def f(self, x):
return ((x[0] - 0.5) ** 2 + (x[1] - 0.5) ** 2
+ (x[2] - 0.5) ** 2 + (x[3] - 0.5) ** 2)
g = None
cons = wrap_constraints(g)
test_s = StructTestS(bounds=[(0, 2.0), ] * 4,
expected_fun=0.0,
expe... | StructTestS |
python | keon__algorithms | tests/test_bfs.py | {
"start": 104,
"end": 848
} | class ____(unittest.TestCase):
def test_count_islands(self):
grid_1 = [[1, 1, 1, 1, 0], [1, 1, 0, 1, 0], [1, 1, 0, 0, 0],
[0, 0, 0, 0, 0]]
self.assertEqual(1, count_islands(grid_1))
grid_2 = [[1, 1, 0, 0, 0], [1, 1, 0, 0, 0], [0, 0, 1, 0, 0],
[0, 0, 0, 1,... | TestCountIslands |
python | pytorch__pytorch | test/inductor/test_lookup_table.py | {
"start": 5862,
"end": 26659
} | class ____(BaseLookupTableTest):
"""Consolidated tests for lookup table functionality"""
def test_lookup_mismatch(self):
"""Test mismatch scenario in lookup table"""
kernel_inputs = self.create_mock_mm_kernel_inputs()
lookup_table_data = {
self.create_lookup_key("mm", kerne... | TestLookupTable |
python | PyCQA__pylint | pylint/checkers/design_analysis.py | {
"start": 9880,
"end": 24682
} | class ____(BaseChecker):
"""Checker of potential misdesigns.
Checks for sign of poor/misdesign:
* number of methods, attributes, local variables...
* size, complexity of functions, methods
"""
# configuration section name
name = "design"
# messages
msgs = MSGS
# configuration o... | MisdesignChecker |
python | getsentry__sentry | src/sentry/search/events/fields.py | {
"start": 34059,
"end": 34764
} | class ____(NumberRange):
def __init__(self, name: str, start: float | None, end: float | None):
super().__init__(name, start, end)
self.has_default = True
def get_default(self, params: ParamsType) -> int:
if not params or not params.get("start") or not params.get("end"):
rai... | IntervalDefault |
python | plotly__plotly.py | plotly/graph_objs/histogram2d/_marker.py | {
"start": 233,
"end": 2783
} | class ____(_BaseTraceHierarchyType):
_parent_path_str = "histogram2d"
_path_str = "histogram2d.marker"
_valid_props = {"color", "colorsrc"}
@property
def color(self):
"""
Sets the aggregation data.
The 'color' property is an array that may be specified as a tuple,
l... | Marker |
python | rq__rq | tests/test_timeouts.py | {
"start": 519,
"end": 2639
} | class ____(RQTestCase):
def test_timer_death_penalty(self):
"""Ensure TimerDeathPenalty works correctly."""
q = Queue(connection=self.connection)
q.empty()
finished_job_registry = FinishedJobRegistry(connection=self.connection)
failed_job_registry = FailedJobRegistry(connecti... | TestTimeouts |
python | apache__airflow | providers/openai/src/airflow/providers/openai/triggers/openai.py | {
"start": 1050,
"end": 4439
} | class ____(BaseTrigger):
"""Triggers OpenAI Batch API."""
def __init__(
self,
conn_id: str,
batch_id: str,
poll_interval: float,
end_time: float,
) -> None:
super().__init__()
self.conn_id = conn_id
self.poll_interval = poll_interval
s... | OpenAIBatchTrigger |
python | encode__django-rest-framework | tests/test_renderers.py | {
"start": 20627,
"end": 21344
} | class ____(TestCase):
def setUp(self):
class TestSerializer(serializers.Serializer):
test_field = serializers.CharField()
self.renderer = HTMLFormRenderer()
self.serializer = TestSerializer(data={})
def test_render_with_default_args(self):
self.serializer.is_valid()... | TestHTMLFormRenderer |
python | astropy__astropy | astropy/units/tests/test_logarithmic.py | {
"start": 840,
"end": 6020
} | class ____:
def test_logarithmic_units(self):
"""Check logarithmic units are set up correctly."""
assert u.dB.to(u.dex) == 0.1
assert u.dex.to(u.mag) == -2.5
assert u.mag.to(u.dB) == -4
@pytest.mark.parametrize("lu_unit, lu_cls", list(zip(lu_units, lu_subclasses)))
def test_... | TestLogUnitCreation |
python | huggingface__transformers | src/transformers/models/prompt_depth_anything/modular_prompt_depth_anything.py | {
"start": 7166,
"end": 8549
} | class ____(DepthAnythingNeck):
def forward(
self,
hidden_states: list[torch.Tensor],
patch_height: Optional[int] = None,
patch_width: Optional[int] = None,
prompt_depth: Optional[torch.Tensor] = None,
) -> list[torch.Tensor]:
"""
Args:
hidden_s... | PromptDepthAnythingNeck |
python | ray-project__ray | rllib/connectors/connector.py | {
"start": 9571,
"end": 11287
} | class ____(Connector):
"""Action connector connects policy outputs including actions,
to user environments.
An action connector transforms a single piece of policy output in
ActionConnectorDataType format, which is basically PolicyOutputType plus env and
agent IDs.
Any functions that operate d... | ActionConnector |
python | django__django | tests/forms_tests/tests/test_formsets.py | {
"start": 76962,
"end": 77021
} | class ____(TestIsBoundBehavior):
pass
| TestIsBoundBehavior |
python | getsentry__sentry | src/sentry/models/files/control_file.py | {
"start": 516,
"end": 1883
} | class ____(AbstractFile[ControlFileBlobIndex, ControlFileBlob]):
blobs = models.ManyToManyField("sentry.ControlFileBlob", through="sentry.ControlFileBlobIndex")
# Looking for the "blob" FK or the path attribute? These are deprecated and unavailable in the control silo
class Meta:
app_label = "sentr... | ControlFile |
python | sqlalchemy__sqlalchemy | lib/sqlalchemy/dialects/oracle/cx_oracle.py | {
"start": 25017,
"end": 25135
} | class ____(_LOBDataType, oracle.LONG):
def get_dbapi_type(self, dbapi):
return dbapi.LONG_STRING
| _OracleLong |
python | python-openxml__python-docx | src/docx/section.py | {
"start": 14443,
"end": 16433
} | class ____(_BaseHeaderFooter):
"""Page footer, used for all three types (default, even-page, and first-page).
Note that, like a document or table cell, a footer must contain a minimum of one
paragraph and a new or otherwise "empty" footer contains a single empty paragraph.
This first paragraph can be a... | _Footer |
python | kamyu104__LeetCode-Solutions | Python/sort-threats-by-severity-and-exploitability.py | {
"start": 40,
"end": 277
} | class ____(object):
def sortThreats(self, threats):
"""
:type threats: List[List[int]]
:rtype: List[List[int]]
"""
threats.sort(key=lambda x: (-(2*x[1]+x[2]), x[0]))
return threats
| Solution |
python | getsentry__sentry | src/django_picklefield/fields.py | {
"start": 1112,
"end": 2799
} | class ____:
"""
A class used to wrap object that have properties that may clash with the
ORM internals.
For example, objects with the `prepare_database_save` property such as
`django.db.Model` subclasses won't work under certain conditions and the
same apply for trying to retrieve any `callable... | _ObjectWrapper |
python | run-llama__llama_index | llama-index-core/llama_index/core/readers/string_iterable.py | {
"start": 214,
"end": 1203
} | class ____(BasePydanticReader):
"""
String Iterable Reader.
Gets a list of documents, given an iterable (e.g. list) of strings.
Example:
.. code-block:: python
from llama_index.core.legacy import StringIterableReader, TreeIndex
documents = StringIterableReader().load_... | StringIterableReader |
python | apache__thrift | test/py/TestClient.py | {
"start": 15197,
"end": 15378
} | class ____(MultiplexedOptionalTest):
def get_protocol(self, transport):
return make_pedantic(TCompactProtocol.TCompactProtocolFactory().getProtocol(transport))
| CompactTest |
python | tensorflow__tensorflow | tensorflow/tools/ci_build/osx/arm64/tensorflow_metal_plugin_test.py | {
"start": 20906,
"end": 21769
} | class ____(test.TestCase):
@test_util.run_in_graph_and_eager_modes
def testL2Loss(self):
for dtype in [dtypes.float32, dtypes.float64]:
x = constant_op.constant(
[1.0, 0.0, 3.0, 2.0], shape=[2, 2], name="x", dtype=dtype
)
l2loss = nn_ops.l2_loss(x)
value = self.evaluate(l2loss... | L2LossTest |
python | pytorch__pytorch | torch/_dynamo/source.py | {
"start": 36551,
"end": 37025
} | class ____(ChainedSource):
def name(self) -> str:
return f"___from_numpy({self.base.name()})"
def guard_source(self) -> GuardSource:
return self.base.guard_source()
def reconstruct(self, codegen: "PyCodegen") -> None:
codegen.add_push_null(lambda: codegen.load_import_from("torch", ... | NumpyTensorSource |
python | pandas-dev__pandas | pandas/tests/indexes/test_engines.py | {
"start": 695,
"end": 1716
} | class ____:
@pytest.mark.parametrize(
"scalar",
[
pd.Timedelta(pd.Timestamp("2016-01-01").asm8.view("m8[ns]")),
pd.Timestamp("2016-01-01")._value,
pd.Timestamp("2016-01-01").to_pydatetime(),
pd.Timestamp("2016-01-01").to_datetime64(),
],
)
... | TestDatetimeEngine |
python | lepture__authlib | authlib/integrations/base_client/sync_app.py | {
"start": 5916,
"end": 9729
} | class ____:
client_cls = None
def __init__(
self,
framework,
name=None,
fetch_token=None,
update_token=None,
client_id=None,
client_secret=None,
access_token_url=None,
access_token_params=None,
authorize_url=None,
authorize... | OAuth2Base |
python | scipy__scipy | scipy/signal/tests/test_signaltools.py | {
"start": 96316,
"end": 101878
} | class ____:
def _setup_rank1(self, dt, xp):
a = xp.linspace(0, 3, 4, dtype=dt)
b = xp.linspace(1, 2, 2, dtype=dt)
y_r = xp.asarray([0, 2, 5, 8, 3], dtype=dt)
return a, b, y_r
def equal_tolerance(self, res_dt):
# default value of keyword
decimal = 6
try:
... | TestCorrelateReal |
python | scipy__scipy | benchmarks/benchmarks/go_benchmark_functions/go_funcs_U.py | {
"start": 1090,
"end": 2587
} | class ____(Benchmark):
r"""
Ursem 3 objective function.
This class defines the Ursem 3 [1]_ global optimization problem. This is a
multimodal minimization problem defined as follows:
.. math::
f_{\text{Ursem03}}(x) = - \sin(2.2 \pi x_1 + 0.5 \pi)
\frac{2 ... | Ursem03 |
python | spack__spack | lib/spack/spack/repo.py | {
"start": 70061,
"end": 70741
} | class ____(RepoDescriptor):
"""A descriptor for a broken repository, used to indicate errors in the configuration that
aren't fatal untill the repository is used."""
def __init__(self, name: Optional[str], error: str) -> None:
super().__init__(name)
self.error = error
def initialize(
... | BrokenRepoDescriptor |
python | pytorch__pytorch | torch/ao/nn/quantized/reference/modules/conv.py | {
"start": 3480,
"end": 5176
} | class ____(_ConvNd, nn.Conv2d):
def __init__(
self,
in_channels,
out_channels,
kernel_size,
stride=1,
padding=0,
dilation=1,
groups=1,
bias=True,
padding_mode="zeros",
device=None,
dtype=None,
weight_qparams: dic... | Conv2d |
python | getsentry__sentry | src/sentry/mail/forms/assigned_to.py | {
"start": 161,
"end": 405
} | class ____(MemberTeamForm[AssigneeTargetType]):
targetType = forms.ChoiceField(choices=ASSIGNEE_CHOICES)
teamValue = AssigneeTargetType.TEAM
memberValue = AssigneeTargetType.MEMBER
targetTypeEnum = AssigneeTargetType
| AssignedToForm |
python | sqlalchemy__sqlalchemy | test/ext/test_associationproxy.py | {
"start": 43352,
"end": 47493
} | class ____(fixtures.MappedTest):
run_setup_mappers = "each"
run_setup_classes = "each"
@classmethod
def define_tables(cls, metadata):
Table(
"parents",
metadata,
Column(
"id", Integer, primary_key=True, test_needs_autoincrement=True
... | ReconstitutionTest |
python | django__django | tests/cache/closeable_cache.py | {
"start": 60,
"end": 162
} | class ____:
closed = False
def close(self, **kwargs):
self.closed = True
| CloseHookMixin |
python | pypa__warehouse | warehouse/accounts/models.py | {
"start": 15120,
"end": 16536
} | class ____(db.Model):
__tablename__ = "user_unique_logins"
__table_args__ = (
UniqueConstraint(
"user_id", "ip_address", name="_user_unique_logins_user_id_ip_address_uc"
),
Index(
"user_unique_logins_user_id_ip_address_idx",
"user_id",
"ip_... | UserUniqueLogin |
python | sqlalchemy__sqlalchemy | test/sql/test_inspect.py | {
"start": 315,
"end": 1428
} | class ____(fixtures.TestBase):
def test_table(self):
t = Table("t", MetaData(), Column("x", Integer))
is_(inspect(t), t)
assert t.is_selectable
is_(t.selectable, t)
def test_select(self):
t = Table("t", MetaData(), Column("x", Integer))
s = t.select()
i... | TestCoreInspection |
python | explosion__spaCy | spacy/lang/bn/__init__.py | {
"start": 325,
"end": 540
} | class ____(BaseDefaults):
tokenizer_exceptions = TOKENIZER_EXCEPTIONS
prefixes = TOKENIZER_PREFIXES
suffixes = TOKENIZER_SUFFIXES
infixes = TOKENIZER_INFIXES
stop_words = STOP_WORDS
| BengaliDefaults |
python | charliermarsh__ruff | crates/ruff_linter/resources/test/fixtures/pylint/return_in_init.py | {
"start": 187,
"end": 245
} | class ____:
def __init__(self):
return 1
| MyClass |
python | kamyu104__LeetCode-Solutions | Python/find-critical-and-pseudo-critical-edges-in-minimum-spanning-tree.py | {
"start": 538,
"end": 1673
} | class ____(object):
def findCriticalAndPseudoCriticalEdges(self, n, edges):
"""
:type n: int
:type edges: List[List[int]]
:rtype: List[List[int]]
"""
def MST(n, edges, unused=None, used=None):
union_find = UnionFind(n)
weight = 0
if... | Solution |
python | apache__airflow | providers/redis/src/airflow/providers/redis/hooks/redis.py | {
"start": 1060,
"end": 5348
} | class ____(BaseHook):
"""
Wrapper for connection to interact with Redis in-memory data structure store.
You can set your db in the extra field of your connection as ``{"db": 3}``.
Also you can set ssl parameters as:
``{"ssl": true, "ssl_cert_reqs": "require", "ssl_certfile": "/path/to/cert.pem", et... | RedisHook |
python | walkccc__LeetCode | solutions/563. Binary Tree Tilt/563.py | {
"start": 0,
"end": 320
} | class ____:
def findTilt(self, root: TreeNode | None) -> int:
ans = 0
def summ(root: TreeNode | None) -> None:
nonlocal ans
if not root:
return 0
l = summ(root.left)
r = summ(root.right)
ans += abs(l - r)
return root.val + l + r
summ(root)
return ans
| Solution |
python | walkccc__LeetCode | solutions/1183. Maximum Number of Ones/1183-2.py | {
"start": 0,
"end": 459
} | class ____:
def maximumNumberOfOnes(
self,
width: int,
height: int,
sideLength: int,
maxOnes: int,
) -> int:
subCount = []
def getCount(length: int, index: int) -> int:
return (length - index - 1) // sideLength + 1
for i in range(sideLength):
for j in range(si... | Solution |
python | cherrypy__cherrypy | cherrypy/lib/covercp.py | {
"start": 8207,
"end": 12287
} | class ____(object):
"""HTTP handler for the coverage stats."""
def __init__(self, coverage, root=None):
"""Initialize the coverage stats application."""
self.coverage = coverage
if root is None:
# Guess initial depth. Files outside this path will not be
# reachab... | CoverStats |
python | sphinx-doc__sphinx | sphinx/domains/cpp/_ast.py | {
"start": 148100,
"end": 150450
} | class ____(ASTBase):
def __init__(
self, concept: ASTNestedName, params: list[ASTTemplateIntroductionParameter]
) -> None:
assert len(params) > 0
self.concept = concept
self.params = params
def __eq__(self, other: object) -> bool:
if not isinstance(other, ASTTemplate... | ASTTemplateIntroduction |
python | huggingface__transformers | src/transformers/models/qwen3_moe/modular_qwen3_moe.py | {
"start": 2820,
"end": 3094
} | class ____(MixtralPreTrainedModel):
_can_record_outputs = {
"router_logits": OutputRecorder(Qwen3MoeTopKRouter, layer_name="mlp.router", index=0),
"hidden_states": Qwen3MoeDecoderLayer,
"attentions": Qwen3MoeAttention,
}
| Qwen3MoePreTrainedModel |
python | kamyu104__LeetCode-Solutions | Python/split-concatenated-strings.py | {
"start": 31,
"end": 658
} | class ____(object):
def splitLoopedString(self, strs):
"""
:type strs: List[str]
:rtype: str
"""
tmp = []
for s in strs:
tmp += max(s, s[::-1])
s = "".join(tmp)
result, st = "a", 0
for i in xrange(len(strs)):
body = "".... | Solution |
python | getsentry__sentry | src/sentry/status_checks/base.py | {
"start": 1831,
"end": 2022
} | class ____:
def check(self) -> list[Problem]:
"""
Perform required checks and return a list of ``Problem`` instances.
"""
raise NotImplementedError
| StatusCheck |
python | apache__airflow | providers/google/tests/unit/google/cloud/operators/vertex_ai/test_experiment_service.py | {
"start": 4839,
"end": 5681
} | class ____:
@mock.patch(VERTEX_AI_PATH.format("ExperimentRunHook"))
def test_execute(self, mock_hook):
op = ListExperimentRunsOperator(
task_id=TASK_ID,
project_id=GCP_PROJECT,
location=GCP_LOCATION,
experiment_name=TEST_EXPERIMENT_NAME,
gcp_co... | TestVertexAIListExperimentRunsOperator |
python | kamyu104__LeetCode-Solutions | Python/number-of-distinct-islands.py | {
"start": 37,
"end": 918
} | class ____(object):
def numDistinctIslands(self, grid):
"""
:type grid: List[List[int]]
:rtype: int
"""
directions = {'l':[-1, 0], 'r':[ 1, 0], \
'u':[ 0, 1], 'd':[ 0, -1]}
def dfs(i, j, grid, island):
if not (0 <= i < len(grid) a... | Solution |
python | coleifer__peewee | tests/cockroachdb.py | {
"start": 517,
"end": 569
} | class ____(TestModel):
data = JSONField()
| JsonModel |
python | openai__openai-python | src/openai/types/vector_store_update_params.py | {
"start": 313,
"end": 920
} | class ____(TypedDict, total=False):
expires_after: Optional[ExpiresAfter]
"""The expiration policy for a vector store."""
metadata: Optional[Metadata]
"""Set of 16 key-value pairs that can be attached to an object.
This can be useful for storing additional information about the object in a
str... | VectorStoreUpdateParams |
python | doocs__leetcode | solution/0000-0099/0005.Longest Palindromic Substring/Solution2.py | {
"start": 0,
"end": 479
} | class ____:
def longestPalindrome(self, s: str) -> str:
def f(l, r):
while l >= 0 and r < n and s[l] == s[r]:
l, r = l - 1, r + 1
return r - l - 1
n = len(s)
start, mx = 0, 1
for i in range(n):
a = f(i, i)
b = f(i, i + ... | Solution |
python | tensorflow__tensorflow | tensorflow/python/data/experimental/ops/batching.py | {
"start": 12914,
"end": 14358
} | class ____(dataset_ops.UnaryDataset):
"""A `Dataset` that batches ragged dense elements into `tf.sparse.SparseTensor`s."""
def __init__(self, input_dataset, batch_size, row_shape):
"""See `Dataset.dense_to_sparse_batch()` for more details."""
if not isinstance(
dataset_ops.get_legacy_output_types(i... | _DenseToSparseBatchDataset |
python | scikit-learn__scikit-learn | examples/calibration/plot_calibration_curve.py | {
"start": 6841,
"end": 11519
} | class ____(LinearSVC):
"""LinearSVC with `predict_proba` method that naively scales
`decision_function` output for binary classification."""
def fit(self, X, y):
super().fit(X, y)
df = self.decision_function(X)
self.df_min_ = df.min()
self.df_max_ = df.max()
def predict... | NaivelyCalibratedLinearSVC |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-stripe/unit_tests/integration/test_external_account_bank_accounts.py | {
"start": 8069,
"end": 14457
} | class ____(TestCase):
@HttpMocker()
def test_given_no_state_when_read_then_use_external_accounts_endpoint(self, http_mocker: HttpMocker) -> None:
http_mocker.get(
_external_accounts_request().with_object(_OBJECT).with_limit(100).build(),
_external_bank_accounts_response().with_re... | IncrementalTest |
python | doocs__leetcode | solution/1700-1799/1761.Minimum Degree of a Connected Trio in a Graph/Solution.py | {
"start": 63,
"end": 676
} | class ____:
def minTrioDegree(self, n: int, edges: List[List[int]]) -> int:
g = [[False] * n for _ in range(n)]
deg = [0] * n
for u, v in edges:
u, v = u - 1, v - 1
g[u][v] = g[v][u] = True
deg[u] += 1
deg[v] += 1
ans = inf
for ... | Solution |
python | dagster-io__dagster | python_modules/libraries/dagster-cloud-cli/dagster_cloud_cli/core/workspace.py | {
"start": 495,
"end": 629
} | class ____:
commit_hash: Optional[str] = None
url: Optional[str] = None
@whitelist_for_serdes
@record(kw_only=False)
| GitMetadata |
python | joblib__joblib | joblib/externals/loky/initializers.py | {
"start": 961,
"end": 2567
} | class ____:
"""Compound worker initializer
This is meant to be used in conjunction with _chain_initializers to
produce the necessary chained_args list to be passed to __call__.
"""
def __init__(self, initializers):
self._initializers = initializers
def __call__(self, *chained_args):
... | _ChainedInitializer |
python | neetcode-gh__leetcode | python/0210-course-schedule-ii.py | {
"start": 0,
"end": 789
} | class ____:
def findOrder(self, numCourses: int, prerequisites: List[List[int]]) -> List[int]:
prereq = {c: [] for c in range(numCourses)}
for crs, pre in prerequisites:
prereq[crs].append(pre)
output = []
visit, cycle = set(), set()
def dfs(crs):
if... | Solution |
python | pydata__xarray | xarray/plot/facetgrid.py | {
"start": 1556,
"end": 37980
} | class ____(Generic[T_DataArrayOrSet]):
"""
Initialize the Matplotlib figure and FacetGrid object.
The :class:`FacetGrid` is an object that links a xarray DataArray to
a Matplotlib figure with a particular structure.
In particular, :class:`FacetGrid` is used to draw plots with multiple
axes, wh... | FacetGrid |
python | huggingface__transformers | tests/models/chinese_clip/test_modeling_chinese_clip.py | {
"start": 14334,
"end": 17120
} | class ____(ModelTesterMixin, unittest.TestCase):
"""
Here we also overwrite some of the tests of test_modeling_common.py, as CHINESE_CLIP does not use input_ids, inputs_embeds,
attention_mask and seq_length.
"""
all_model_classes = (ChineseCLIPVisionModel,) if is_torch_available() else ()
test... | ChineseCLIPVisionModelTest |
python | HypothesisWorks__hypothesis | hypothesis-python/src/hypothesis/strategies/_internal/misc.py | {
"start": 985,
"end": 3187
} | class ____(SampledFromStrategy[Ex]):
"""A strategy which always returns a single fixed value.
It's implemented as a length-one SampledFromStrategy so that all our
special-case logic for filtering and sets applies also to just(x).
The important difference from a SampledFromStrategy with only one
el... | JustStrategy |
python | huggingface__transformers | src/transformers/training_args.py | {
"start": 143292,
"end": 143554
} | class ____(Enum):
NOT_PARALLEL = "not_parallel"
NOT_DISTRIBUTED = "not_distributed"
DISTRIBUTED = "distributed"
SAGEMAKER_MODEL_PARALLEL = "sagemaker_model_parallel"
SAGEMAKER_DATA_PARALLEL = "sagemaker_data_parallel"
TPU = "tpu"
| ParallelMode |
python | pytorch__pytorch | torch/_subclasses/fake_tensor.py | {
"start": 2960,
"end": 3188
} | class ____:
def __init__(self) -> None:
global RECURSION_COUNT
RECURSION_COUNT += 1
def __del__(self) -> None:
global RECURSION_COUNT
RECURSION_COUNT -= 1
@dataclass
| IncrementRecursionCount |
python | numpy__numpy | numpy/_core/tests/test_dtype.py | {
"start": 37600,
"end": 39273
} | class ____:
"""Test deeply nested subtypes."""
def test1(self):
simple1 = np.dtype({'names': ['r', 'b'], 'formats': ['u1', 'u1'],
'titles': ['Red pixel', 'Blue pixel']})
a = np.dtype([('yo', int), ('ye', simple1),
('yi', np.dtype((int, (3, 2))))])
b = np.dtype([(... | TestMonsterType |
python | aimacode__aima-python | deep_learning4e.py | {
"start": 5973,
"end": 12998
} | class ____(Layer):
"""Batch normalization layer."""
def __init__(self, size, eps=0.001):
super().__init__(size)
self.eps = eps
# self.weights = [beta, gamma]
self.weights = [0, 0]
self.inputs = None
def forward(self, inputs):
# mean value of inputs
m... | BatchNormalizationLayer |
python | huggingface__transformers | tests/models/glm4v/test_processor_glm4v.py | {
"start": 1038,
"end": 10848
} | class ____(ProcessorTesterMixin, unittest.TestCase):
processor_class = Glm4vProcessor
model_id = "THUDM/GLM-4.1V-9B-Thinking"
@classmethod
def _setup_test_attributes(cls, processor):
cls.image_token = processor.image_token
@classmethod
def _setup_from_pretrained(cls, model_id, **kwargs... | Glm4vProcessorTest |
python | huggingface__transformers | src/transformers/models/speecht5/number_normalizer.py | {
"start": 728,
"end": 6948
} | class ____:
def __init__(self):
self.ones = ["", "one", "two", "three", "four", "five", "six", "seven", "eight", "nine"]
self.teens = [
"",
"eleven",
"twelve",
"thirteen",
"fourteen",
"fifteen",
"sixteen",
... | EnglishNumberNormalizer |
python | apache__airflow | airflow-core/src/airflow/executors/workloads.py | {
"start": 3370,
"end": 4603
} | class ____(BaseDagBundleWorkload):
"""Execute the given Task."""
ti: TaskInstance
sentry_integration: str = ""
type: Literal["ExecuteTask"] = Field(init=False, default="ExecuteTask")
@classmethod
def make(
cls,
ti: TIModel,
dag_rel_path: Path | None = None,
gen... | ExecuteTask |
python | pytorch__pytorch | torch/_inductor/codegen/wrapper.py | {
"start": 21876,
"end": 22660
} | class ____(WrapperLine):
wrapper: PythonWrapperCodegen
def plan(self, state: MemoryPlanningState) -> MemoryPlanningLine:
"""First pass to find reuse"""
return self
def codegen(self, code: IndentedBuffer) -> None:
"""Second pass to output code"""
def __str__(self) -> str:
... | MemoryPlanningLine |
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