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 | microsoft__pyright | packages/pyright-internal/src/tests/samples/typedDict18.py | {
"start": 2222,
"end": 2258
} | class ____(TypedDict):
y: int
| TD11 |
python | openai__openai-python | src/openai/types/beta/assistant_stream_event.py | {
"start": 1982,
"end": 2205
} | class ____(BaseModel):
data: Run
"""
Represents an execution run on a
[thread](https://platform.openai.com/docs/api-reference/threads).
"""
event: Literal["thread.run.in_progress"]
| ThreadRunInProgress |
python | sqlalchemy__sqlalchemy | test/ext/test_mutable.py | {
"start": 13192,
"end": 20912
} | class ____(_MutableListTestFixture):
run_define_tables = "each"
def setup_mappers(cls):
foo = cls.tables.foo
cls.mapper_registry.map_imperatively(Foo, foo)
def test_coerce_none(self):
sess = fixture_session()
f1 = Foo(data=None)
sess.add(f1)
sess.commit()
... | _MutableListTestBase |
python | apache__airflow | task-sdk/tests/task_sdk/io/test_path.py | {
"start": 3169,
"end": 5623
} | class ____:
FAKE = "ffs:///fake"
MNT = "ffs:///mnt/warehouse"
FOO = "ffs:///mnt/warehouse/foo"
BAR = FOO
@pytest.fixture(autouse=True)
def restore_cache(self):
cache = _STORE_CACHE.copy()
yield
_STORE_CACHE.clear()
_STORE_CACHE.update(cache)
@pytest.fixture
... | TestAttach |
python | django-mptt__django-mptt | tests/myapp/models.py | {
"start": 1754,
"end": 2007
} | class ____(models.Model):
genre = TreeForeignKey(Genre, on_delete=models.CASCADE)
genres_m2m = models.ManyToManyField(Genre, related_name="games_m2m")
name = models.CharField(max_length=50)
def __str__(self):
return self.name
| Game |
python | pypa__warehouse | tests/unit/packaging/test_services.py | {
"start": 15017,
"end": 22524
} | class ____:
def test_verify_service(self):
assert verifyClass(IFileStorage, S3FileStorage)
def test_basic_init(self):
bucket = pretend.stub()
storage = S3FileStorage(bucket)
assert storage.bucket is bucket
def test_create_service(self):
session = boto3.session.Sessi... | TestS3FileStorage |
python | graphql-python__graphene | graphene/types/tests/test_subscribe_async.py | {
"start": 87,
"end": 202
} | class ____(ObjectType):
hello = String()
def resolve_hello(root, info):
return "Hello, world!"
| Query |
python | ray-project__ray | rllib/examples/envs/classes/multi_agent/footsies/utils.py | {
"start": 805,
"end": 2078
} | class ____:
def __init__(self, matchups: list[Matchup]):
self.matchups = matchups
self.probs = [matchup.prob for matchup in matchups]
self.current_matchups = collections.defaultdict(dict)
def agent_to_module_mapping_fn(
self, agent_id: str, episode: EpisodeType, **kwargs
) -... | Matchmaker |
python | ansible__ansible | test/units/inventory/test_data.py | {
"start": 2207,
"end": 2419
} | class ____(Exception):
"""Raised when an object is trusted which should not be."""
def __init__(self, obj: t.Any) -> None:
super().__init__(f'TrustedAsTemplate is tagged on {obj}.')
| TrustFoundError |
python | dask__dask | dask/dataframe/dask_expr/_backends.py | {
"start": 860,
"end": 2055
} | class ____(DataFrameBackendEntrypoint):
"""Pandas-Backend Entrypoint Class for Dask-Expressions
Note that all DataFrame-creation functions are defined
and registered 'in-place'.
"""
@classmethod
def to_backend(cls, data, **kwargs):
from dask.dataframe.dask_expr._collection import new_c... | PandasBackendEntrypoint |
python | apache__airflow | airflow-core/tests/unit/api_fastapi/auth/managers/simple/test_simple_auth_manager.py | {
"start": 1224,
"end": 9651
} | class ____:
def test_get_users(self, auth_manager):
with conf_vars(
{
("core", "simple_auth_manager_users"): "test1:viewer,test2:viewer",
}
):
users = auth_manager.get_users()
assert users == [{"role": "viewer", "username": "test1"}, {"... | TestSimpleAuthManager |
python | pytorch__pytorch | test/torch_np/numpy_tests/linalg/test_linalg.py | {
"start": 23438,
"end": 25328
} | class ____(LinalgSquareTestCase, LinalgGeneralizedSquareTestCase):
# cond(x, p) for p in (None, 2, -2)
def do(self, a, b, tags):
c = asarray(a) # a might be a matrix
if "size-0" in tags:
assert_raises(LinAlgError, linalg.cond, c)
return
# +-2 norms
s = ... | CondCases |
python | huggingface__transformers | src/transformers/generation/utils.py | {
"start": 10796,
"end": 14042
} | class ____(ModelOutput):
"""
Outputs of decoder-only generation models, when using beam methods.
Args:
sequences (`torch.LongTensor` of shape `(batch_size*num_return_sequences, sequence_length)`):
The generated sequences. The second dimension (sequence_length) is either equal to `max_le... | GenerateBeamDecoderOnlyOutput |
python | dask__dask | dask/dataframe/dask_expr/_expr.py | {
"start": 41021,
"end": 41484
} | class ____(Blockwise):
_parameters = ["frame", "index", "deep"]
_defaults = {"index": True, "deep": False}
@staticmethod
def operation(*args, **kwargs):
if is_series_like(args[0]):
return args[0]._constructor([total_mem_usage(*args, **kwargs)])
return args[0]._constructor_sl... | MemoryUsagePerPartition |
python | huggingface__transformers | src/transformers/models/qwen2_moe/modular_qwen2_moe.py | {
"start": 6968,
"end": 10241
} | class ____(MixtralModel):
def __init__(self, config: Qwen2MoeConfig):
super().__init__(config)
self.layers = nn.ModuleList(
[Qwen2MoeDecoderLayer(config, layer_idx) for layer_idx in range(config.num_hidden_layers)]
)
self.norm = Qwen2MoeRMSNorm(config.hidden_size, eps=con... | Qwen2MoeModel |
python | getlogbook__logbook | src/logbook/base.py | {
"start": 5547,
"end": 8108
} | class ____(StackedObject):
"""An object that can be bound to a context. It is managed by the
:class:`ContextStackManager`"""
#: subclasses have to instantiate a :class:`ContextStackManager`
#: object on this attribute which is then shared for all the
#: subclasses of it.
stack_manager = None
... | ContextObject |
python | ray-project__ray | python/ray/data/_internal/planner/exchange/split_repartition_task_scheduler.py | {
"start": 690,
"end": 6640
} | class ____(ExchangeTaskScheduler):
"""
The split (non-shuffle) repartition scheduler.
First, we calculate global splits needed to produce `output_num_blocks` blocks.
After the split blocks are generated accordingly, reduce tasks are scheduled
to combine split blocks together.
"""
def execu... | SplitRepartitionTaskScheduler |
python | django__django | django/db/migrations/serializer.py | {
"start": 1030,
"end": 1265
} | class ____:
def __init__(self, value):
self.value = value
def serialize(self):
raise NotImplementedError(
"Subclasses of BaseSerializer must implement the serialize() method."
)
| BaseSerializer |
python | pydata__xarray | xarray/indexes/nd_point_index.py | {
"start": 539,
"end": 2089
} | class ____(abc.ABC):
"""Lightweight adapter abstract class for plugging in 3rd-party structures
like :py:class:`scipy.spatial.KDTree` or :py:class:`sklearn.neighbors.KDTree`
into :py:class:`~xarray.indexes.NDPointIndex`.
"""
@abc.abstractmethod
def __init__(self, points: np.ndarray, *, options... | TreeAdapter |
python | ray-project__ray | python/ray/data/block.py | {
"start": 8705,
"end": 21692
} | class ____:
"""Provides accessor methods for a specific block.
Ideally, we wouldn't need a separate accessor classes for blocks. However,
this is needed if we want to support storing ``pyarrow.Table`` directly
as a top-level Ray object, without a wrapping class (issue #17186).
"""
def num_rows... | BlockAccessor |
python | dagster-io__dagster | python_modules/libraries/dagster-aws/dagster_aws_tests/s3_tests/test_compute_log_manager.py | {
"start": 9978,
"end": 12312
} | class ____(TestComputeLogManager):
__test__ = True
@pytest.fixture(name="compute_log_manager")
def compute_log_manager(self, mock_s3_bucket):
with tempfile.TemporaryDirectory() as temp_dir:
yield S3ComputeLogManager(
bucket=mock_s3_bucket.name, prefix="my_prefix", local_... | TestS3ComputeLogManager |
python | great-expectations__great_expectations | contrib/great_expectations_semantic_types_expectations/great_expectations_semantic_types_expectations/expectations/expect_column_values_to_be_valid_arxiv_id.py | {
"start": 1687,
"end": 3951
} | class ____(ColumnMapExpectation):
"""Expect column values to be valid arXiv identifiers."""
# These examples will be shown in the public gallery.
# They will also be executed as unit tests for your Expectation.
examples = [
{
"data": {
"well_formed_arxiv_id": [
... | ExpectColumnValuesToBeValidArxivId |
python | great-expectations__great_expectations | great_expectations/expectations/metrics/column_aggregate_metrics/column_partition.py | {
"start": 889,
"end": 9592
} | class ____(ColumnAggregateMetricProvider):
metric_name = "column.partition"
value_keys = ("bins", "n_bins", "allow_relative_error")
default_kwarg_values = {
"bins": "uniform",
"n_bins": 10,
"allow_relative_error": False,
}
@metric_value(engine=PandasExecutionEngine)
def ... | ColumnPartition |
python | PrefectHQ__prefect | src/integrations/prefect-github/prefect_github/schemas/graphql_schema.py | {
"start": 879138,
"end": 879493
} | class ____(sgqlc.types.Type, ProjectV2FieldCommon, Node):
"""
See source code for more info.
"""
__schema__ = graphql_schema
__field_names__ = ("configuration",)
configuration = sgqlc.types.Field(
sgqlc.types.non_null(ProjectV2IterationFieldConfiguration),
graphql_name="configur... | ProjectV2IterationField |
python | apache__airflow | providers/standard/src/airflow/providers/standard/sensors/time_delta.py | {
"start": 1615,
"end": 5591
} | class ____(BaseSensorOperator):
"""
Waits for a timedelta.
The delta will be evaluated against data_interval_end if present for the dag run,
otherwise run_after will be used.
:param delta: time to wait before succeeding.
:param deferrable: Run sensor in deferrable mode. If set to True, task wi... | TimeDeltaSensor |
python | Textualize__textual | src/textual/theme.py | {
"start": 8449,
"end": 9339
} | class ____(Provider):
"""A provider for themes."""
@property
def commands(self) -> list[tuple[str, Callable[[], None]]]:
themes = self.app.available_themes
def set_app_theme(name: str) -> None:
self.app.theme = name
return [
(theme.name, partial(set_app_the... | ThemeProvider |
python | fluentpython__example-code | 09-pythonic-obj/vector2d_v3.py | {
"start": 1779,
"end": 3249
} | class ____:
typecode = 'd'
def __init__(self, x, y):
self.__x = float(x)
self.__y = float(y)
@property
def x(self):
return self.__x
@property
def y(self):
return self.__y
def __iter__(self):
return (i for i in (self.x, self.y))
def __repr__(se... | Vector2d |
python | tensorflow__tensorflow | tensorflow/lite/python/interpreter.py | {
"start": 6604,
"end": 12011
} | class ____:
"""SignatureRunner class for running TFLite models using SignatureDef.
This class should be instantiated through TFLite Interpreter only using
get_signature_runner method on Interpreter.
Example,
signature = interpreter.get_signature_runner("my_signature")
result = signature(input_1=my_input_1,... | SignatureRunner |
python | sympy__sympy | sympy/physics/mechanics/loads.py | {
"start": 819,
"end": 2301
} | class ____(LoadBase):
"""Force acting upon a point.
Explanation
===========
A force is a vector that is bound to a line of action. This class stores
both a point, which lies on the line of action, and the vector. A tuple can
also be used, with the location as the first entry and the vector as ... | Force |
python | coleifer__peewee | peewee.py | {
"start": 53217,
"end": 53955
} | class ____(ColumnBase):
def __init__(self, predicate, expression_tuples, default=None):
self.predicate = predicate
self.expression_tuples = expression_tuples
self.default = default
def __sql__(self, ctx):
clauses = [SQL('CASE')]
if self.predicate is not None:
... | Case |
python | anthropics__anthropic-sdk-python | src/anthropic/resources/beta/files.py | {
"start": 1307,
"end": 12668
} | class ____(SyncAPIResource):
@cached_property
def with_raw_response(self) -> FilesWithRawResponse:
"""
This property can be used as a prefix for any HTTP method call to return
the raw response object instead of the parsed content.
For more information, see https://www.github.com... | Files |
python | pypa__pip | src/pip/_vendor/rich/progress.py | {
"start": 21951,
"end": 23682
} | class ____(ProgressColumn):
"""Renders a visual progress bar.
Args:
bar_width (Optional[int], optional): Width of bar or None for full width. Defaults to 40.
style (StyleType, optional): Style for the bar background. Defaults to "bar.back".
complete_style (StyleType, optional): Style fo... | BarColumn |
python | Pylons__pyramid | tests/test_config/test_views.py | {
"start": 149035,
"end": 149125
} | class ____(dict):
def get_csrf_token(self):
return self['csrf_token']
| DummySession |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-github/source_github/github_schema.py | {
"start": 23544,
"end": 23955
} | class ____(sgqlc.types.Enum):
"""The possible viewed states of a file .
Enumeration Choices:
* `DISMISSED`: The file has new changes since last viewed.
* `UNVIEWED`: The file has not been marked as viewed.
* `VIEWED`: The file has been marked as viewed.
"""
__schema__ = github_schema
... | FileViewedState |
python | doocs__leetcode | solution/2700-2799/2711.Difference of Number of Distinct Values on Diagonals/Solution.py | {
"start": 0,
"end": 697
} | class ____:
def differenceOfDistinctValues(self, grid: List[List[int]]) -> List[List[int]]:
m, n = len(grid), len(grid[0])
ans = [[0] * n for _ in range(m)]
for i in range(m):
for j in range(n):
x, y = i, j
s = set()
while x and y:
... | Solution |
python | PrefectHQ__prefect | tests/utilities/test_pydantic.py | {
"start": 5755,
"end": 6324
} | class ____:
def test_json_schema(self):
class PatchModel(BaseModel):
model_config = ConfigDict(arbitrary_types_allowed=True)
patch: JsonPatch = Field(default_factory=lambda: JsonPatch([]))
schema = PatchModel.model_json_schema()
assert schema["properties"]["patch"]... | TestJsonPatch |
python | kamyu104__LeetCode-Solutions | Python/longest-increasing-subsequence.py | {
"start": 49,
"end": 556
} | class ____(object):
def lengthOfLIS(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
LIS = []
def insert(target):
left = bisect.bisect_left(LIS, target)
# If not found, append the target.
if left == len(LIS):
L... | Solution |
python | numpy__numpy | numpy/_core/tests/test_simd.py | {
"start": 10928,
"end": 11790
} | class ____(_Test_Utility):
"""
To only test single precision
"""
def test_conversions(self):
"""
Round to nearest even integer, assume CPU control register is set to rounding.
Test intrinsics:
npyv_round_s32_##SFX
"""
features = self._cpu_features()
... | _SIMD_FP32 |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-github/source_github/github_schema.py | {
"start": 480625,
"end": 481415
} | class ____(sgqlc.types.relay.Connection):
"""The connection type for BypassForcePushAllowance."""
__schema__ = github_schema
__field_names__ = ("edges", "nodes", "page_info", "total_count")
edges = sgqlc.types.Field(sgqlc.types.list_of("BypassForcePushAllowanceEdge"), graphql_name="edges")
"""A lis... | BypassForcePushAllowanceConnection |
python | ray-project__ray | python/ray/_private/runtime_env/utils.py | {
"start": 120,
"end": 3989
} | class ____(subprocess.CalledProcessError):
"""The subprocess.CalledProcessError with stripped stdout."""
LAST_N_LINES = 50
def __init__(self, *args, cmd_index=None, **kwargs):
self.cmd_index = cmd_index
super().__init__(*args, **kwargs)
@staticmethod
def _get_last_n_line(str_data:... | SubprocessCalledProcessError |
python | pytorch__pytorch | test/dynamo/cpython/3_13/test_ordered_dict.py | {
"start": 39485,
"end": 39871
} | class ____(mapping_tests.BasicTestMappingProtocol):
@classmethod
def setUpClass(cls):
cls.type2test = py_coll.OrderedDict
super().setUpClass()
def test_popitem(self):
d = self._empty_mapping()
self.assertRaises(KeyError, d.popitem)
@unittest.skipUnless(c_coll, 'requires t... | PurePythonGeneralMappingTests |
python | PrefectHQ__prefect | tests/client/test_prefect_client.py | {
"start": 2635,
"end": 3874
} | class ____:
def test_get_client_returns_client(self):
assert isinstance(get_client(), PrefectClient)
def test_get_client_does_not_cache_client(self):
assert get_client() is not get_client()
def test_get_client_cache_uses_profile_settings(self):
client = get_client()
with te... | TestGetClient |
python | doocs__leetcode | solution/2800-2899/2814.Minimum Time Takes to Reach Destination Without Drowning/Solution.py | {
"start": 0,
"end": 1775
} | class ____:
def minimumSeconds(self, land: List[List[str]]) -> int:
m, n = len(land), len(land[0])
vis = [[False] * n for _ in range(m)]
g = [[inf] * n for _ in range(m)]
q = deque()
si = sj = 0
for i, row in enumerate(land):
for j, c in enumerate(row):
... | Solution |
python | getsentry__sentry | src/sentry/integrations/discord/message_builder/base/component/select_menu.py | {
"start": 1333,
"end": 2752
} | class ____(DiscordMessageComponent):
"""
A Discord select menu message component. We are only implementing the
string select variation because the other types are not currently required.
https://discord.com/developers/docs/interactions/message-components#select-menu-object
"""
def __init__(
... | DiscordSelectMenu |
python | numba__numba | numba/core/dispatcher.py | {
"start": 29121,
"end": 38726
} | class ____(serialize.ReduceMixin, _MemoMixin, _DispatcherBase):
"""
Implementation of user-facing dispatcher objects (i.e. created using
the @jit decorator).
This is an abstract base class. Subclasses should define the targetdescr
class attribute.
"""
_fold_args = True
__numba__ = 'py_f... | Dispatcher |
python | airbytehq__airbyte | airbyte-integrations/bases/connector-acceptance-test/unit_tests/test_config.py | {
"start": 9988,
"end": 11291
} | class ____:
@pytest.mark.parametrize(
("skip_test", "bypass_reason", "unsupported_types", "expectation"),
(
(True, None, None, does_not_raise()),
(True, None, [config.UnsupportedFileTypeConfig(extension=".csv")], pytest.raises(ValidationError)),
(False, None, None... | TestFileTypesConfig |
python | huggingface__transformers | src/transformers/models/altclip/modeling_altclip.py | {
"start": 23116,
"end": 25093
} | class ____(GradientCheckpointingLayer):
def __init__(self, config: AltCLIPConfig):
super().__init__()
self.embed_dim = config.hidden_size
self.self_attn = AltCLIPAttention(config)
self.layer_norm1 = nn.LayerNorm(self.embed_dim, eps=config.layer_norm_eps)
self.mlp = AltCLIPMLP... | AltCLIPEncoderLayer |
python | joke2k__faker | tests/providers/test_job.py | {
"start": 4029,
"end": 4218
} | class ____:
"""Test pt_BR job provider"""
def test_job(self, faker, num_samples):
for _ in range(num_samples):
assert faker.job() in PtBrJobProvider.jobs
| TestPtBr |
python | openai__openai-python | src/openai/types/beta/threads/run_create_params.py | {
"start": 8097,
"end": 8325
} | class ____(TypedDict, total=False):
file_id: str
"""The ID of the file to attach to the message."""
tools: Iterable[AdditionalMessageAttachmentTool]
"""The tools to add this file to."""
| AdditionalMessageAttachment |
python | PrefectHQ__prefect | src/integrations/prefect-github/prefect_github/schemas/graphql_schema.py | {
"start": 927509,
"end": 928819
} | class ____(sgqlc.types.Type, Node):
"""
See source code for more info.
"""
__schema__ = graphql_schema
__field_names__ = (
"content_type",
"created_at",
"download_count",
"download_url",
"name",
"release",
"size",
"updated_at",
... | ReleaseAsset |
python | modin-project__modin | modin/tests/pandas/utils.py | {
"start": 16317,
"end": 30080
} | class ____:
"""int-like class with non-commutative multiply operation.
We need to test that rmul and mul do different things even when
multiplication is not commutative, but almost all multiplication is
commutative. This class' fake multiplication overloads are not commutative
when you multiply an ... | NonCommutativeMultiplyInteger |
python | spack__spack | lib/spack/spack/solver/requirements.py | {
"start": 2632,
"end": 13634
} | class ____:
"""Parses requirements from package.py files and configuration, and returns rules."""
def __init__(self, configuration: spack.config.Configuration):
self.config = configuration
self.runtime_pkgs = spack.repo.PATH.packages_with_tags("runtime")
self.compiler_pkgs = spack.repo.... | RequirementParser |
python | apache__airflow | providers/amazon/tests/unit/amazon/aws/operators/test_rds.py | {
"start": 10613,
"end": 15507
} | class ____:
@classmethod
def setup_class(cls):
cls.dag = DAG(
dag_id="test_dag",
schedule=None,
default_args={"owner": "airflow", "start_date": DEFAULT_DATE},
)
cls.hook = RdsHook(aws_conn_id=AWS_CONN, region_name="us-east-1")
_patch_hook_get_c... | TestRdsCopyDbSnapshotOperator |
python | ray-project__ray | rllib/models/torch/torch_action_dist.py | {
"start": 7038,
"end": 8779
} | class ____(TorchCategorical):
"""MultiCategorical distribution for MultiDiscrete action spaces.
The action space must be uniform, meaning all nvec items have the same size, e.g.
MultiDiscrete([10, 10, 10]), where 10 is the number of candidates to pick from
and 3 is the slate size (pick 3 out of 10). Wh... | TorchSlateMultiCategorical |
python | pytorch__pytorch | torch/distributed/fsdp/_fully_shard/_fsdp_collectives.py | {
"start": 3413,
"end": 3885
} | class ____(DefaultAllocMixin, ReduceScatter):
def __call__(
self,
output_tensor: torch.Tensor,
input_tensor: torch.Tensor,
group: dist.ProcessGroup,
op: _ReduceOp,
async_op: bool = False,
) -> dist.Work:
return dist.reduce_scatter_tensor(
outpu... | DefaultReduceScatter |
python | jmcnamara__XlsxWriter | xlsxwriter/test/comparison/test_chart_axis54.py | {
"start": 306,
"end": 1726
} | class ____(ExcelComparisonTest):
"""
Test file created by XlsxWriter against a file created by Excel.
"""
def setUp(self):
self.set_filename("chart_axis54.xlsx")
def test_create_file(self):
"""Test the creation of a simple XlsxWriter file."""
workbook = Workbook(self.got... | TestCompareXLSXFiles |
python | kamyu104__LeetCode-Solutions | Python/generate-parentheses.py | {
"start": 81,
"end": 1049
} | class ____(object):
def generateParenthesis(self, n):
"""
:type n: int
:rtype: List[str]
"""
result, curr = [], []
stk = [(1, (n, n))]
while stk:
step, args = stk.pop()
if step == 1:
left, right = args
if... | Solution |
python | kamyu104__LeetCode-Solutions | Python/build-an-array-with-stack-operations.py | {
"start": 29,
"end": 378
} | class ____(object):
def buildArray(self, target, n):
"""
:type target: List[int]
:type n: int
:rtype: List[str]
"""
result, curr = [], 1
for t in target:
result.extend(["Push", "Pop"]*(t-curr))
result.append("Push")
curr = t... | Solution |
python | bokeh__bokeh | tests/unit/bokeh/model/test_util_model.py | {
"start": 4022,
"end": 5811
} | class ____:
@pytest.mark.parametrize('typ', (int, float, str))
def test_scalar(self, typ) -> None:
obj = typ()
vals = set()
assert bmu.visit_value_and_its_immediate_references(obj, lambda x: vals.add(x)) is None
assert vals == set()
@pytest.mark.parametrize('typ', (tuple, l... | Test_visit_value_and_its_immediate_references |
python | joke2k__faker | faker/providers/lorem/da_DK/__init__.py | {
"start": 68,
"end": 18520
} | class ____(LoremProvider):
"""Implement lorem provider for ``da_DK`` locale. # NOQA"""
word_list = (
"område",
"verden",
"nødvendig",
"ligge",
"magt",
"drøm",
"midt",
"indeholde",
"plads",
"viden",
"etage",
"forst... | Provider |
python | uqfoundation__dill | dill/tests/test_nested.py | {
"start": 977,
"end": 1188
} | class ____:
def __init__(self, augend):
self.augend = augend
self.zero = [0]
def __call__(self, addend):
return addend + self.augend + self.zero[0]
# some basic class stuff
| c2adder |
python | doocs__leetcode | solution/3400-3499/3411.Maximum Subarray With Equal Products/Solution.py | {
"start": 0,
"end": 486
} | class ____:
def maxLength(self, nums: List[int]) -> int:
n = len(nums)
ans = 0
max_p = lcm(*nums) * max(nums)
for i in range(n):
p, g, l = 1, 0, 1
for j in range(i, n):
p *= nums[j]
g = gcd(g, nums[j])
l = lcm(l,... | Solution |
python | pyca__cryptography | tests/hazmat/primitives/test_kbkdf.py | {
"start": 685,
"end": 14619
} | class ____:
def test_invalid_key(self, backend):
kdf = KBKDFHMAC(
hashes.SHA256(),
Mode.CounterMode,
32,
4,
4,
CounterLocation.BeforeFixed,
b"label",
b"context",
None,
backend=backend,
... | TestKBKDFHMAC |
python | dagster-io__dagster | python_modules/dagster-graphql/dagster_graphql/schema/partition_sets.py | {
"start": 5928,
"end": 6126
} | class ____(graphene.ObjectType):
class Meta:
name = "PartitionKeyRange"
start = graphene.NonNull(graphene.String)
end = graphene.NonNull(graphene.String)
| GraphenePartitionKeyRange |
python | sqlalchemy__sqlalchemy | test/dialect/oracle/test_dialect.py | {
"start": 3929,
"end": 5280
} | class ____(fixtures.TestBase):
__backend__ = True
__only_on__ = "oracle+oracledb"
def _run_in_process(self, fn, fn_kw=None):
if config.db.dialect.is_async:
config.skip_test("thick mode unsupported in async mode")
ctx = get_context("spawn")
queue = ctx.Queue()
pro... | OracledbMode |
python | kubernetes-client__python | kubernetes/client/models/v1_network_policy_list.py | {
"start": 383,
"end": 6972
} | class ____(object):
"""NOTE: This class is auto generated by OpenAPI Generator.
Ref: https://openapi-generator.tech
Do not edit the class manually.
"""
"""
Attributes:
openapi_types (dict): The key is attribute name
and the value is attribute type.
attri... | V1NetworkPolicyList |
python | has2k1__plotnine | plotnine/themes/themeable.py | {
"start": 68788,
"end": 69213
} | class ____(axis_ticks_pad_major_x, axis_ticks_pad_major_y):
"""
Axis major-tick padding
Parameters
----------
theme_element : float
Value in points.
Note
----
Padding is not applied when the
[](`~plotnine.theme.themeables.axis_ticks_major`) are blank,
but it does apply ... | axis_ticks_pad_major |
python | keras-team__keras | keras/src/layers/regularization/spatial_dropout_test.py | {
"start": 135,
"end": 3851
} | class ____(test_case.TestCase):
@pytest.mark.requires_trainable_backend
def test_spatial_dropout_1d(self):
self.run_layer_test(
layers.SpatialDropout1D,
init_kwargs={"rate": 0.5},
call_kwargs={"training": True},
input_shape=(2, 3, 4),
assert_bu... | SpatialDropoutTest |
python | tensorflow__tensorflow | tensorflow/python/keras/engine/base_layer.py | {
"start": 4304,
"end": 123419
} | class ____(module.Module, version_utils.LayerVersionSelector):
"""This is the class from which all layers inherit.
A layer is a callable object that takes as input one or more tensors and
that outputs one or more tensors. It involves *computation*, defined
in the `call()` method, and a *state* (weight variable... | Layer |
python | numpy__numpy | numpy/lib/tests/test__datasource.py | {
"start": 4985,
"end": 7473
} | class ____:
def test_ValidHTTP(self, tmp_path):
ds = datasource.DataSource(tmp_path)
_, netloc, upath, _, _, _ = urlparse(valid_httpurl())
local_path = os.path.join(tmp_path, netloc,
upath.strip(os.sep).strip('/'))
assert_equal(local_path, ds.abspath... | TestDataSourceAbspath |
python | great-expectations__great_expectations | great_expectations/exceptions/resource_freshness.py | {
"start": 1627,
"end": 1939
} | class ____(ResourceFreshnessError):
def __init__(self, name: str) -> None:
super().__init__(
f"ExpectationSuite '{name}' has changed since it has last been saved. "
"Please update with `<SUITE_OBJECT>.save()`, then try your action again."
)
| ExpectationSuiteNotFreshError |
python | huggingface__transformers | src/transformers/models/got_ocr2/image_processing_got_ocr2.py | {
"start": 1462,
"end": 5437
} | class ____(ImagesKwargs, total=False):
"""
crop_to_patches (`bool`, *optional*, defaults to `False`):
Whether to crop the image to patches. Can be overridden by the `crop_to_patches` parameter in the
`preprocess` method.
min_patches (`int`, *optional*, defaults to 1):
The minimum num... | GotOcr2ImageProcessorKwargs |
python | tensorflow__tensorflow | tensorflow/lite/tools/visualize.py | {
"start": 7232,
"end": 17766
} | class ____:
"""Maps a list of tensor indices to a tooltip hoverable indicator of more."""
def __init__(self, subgraph_data):
self.data = subgraph_data
def __call__(self, x):
html = ""
if x is None:
return html
html += "<span class='tooltip'><span class='tooltipcontent'>"
for i in x:
... | TensorMapper |
python | dagster-io__dagster | python_modules/dagster-graphql/dagster_graphql_tests/graphql/test_permissions.py | {
"start": 2152,
"end": 2323
} | class ____:
@check_permission(Permissions.LAUNCH_PIPELINE_EXECUTION)
def mutate(self, graphene_info: ResolveInfo, **_kwargs):
pass
| FakeEnumPermissionMutation |
python | run-llama__llama_index | llama-index-integrations/tools/llama-index-tools-cassandra/llama_index/tools/cassandra/cassandra_database_wrapper.py | {
"start": 17684,
"end": 17961
} | class ____(Exception):
"""
Exception raised for errors in the database schema.
Attributes:
message -- explanation of the error
"""
def __init__(self, message: str):
self.message = message
super().__init__(self.message)
| DatabaseError |
python | dagster-io__dagster | python_modules/libraries/dagster-dg-cli/dagster_dg_cli_tests/cli_tests/api_tests/deployment_tests/test_business_logic.py | {
"start": 2128,
"end": 3554
} | class ____:
"""Test the deployment formatting functions."""
def _create_sample_deployment_list(self):
"""Create sample DeploymentList from fixture data."""
# Load from fixture and convert to domain objects
response = load_recorded_graphql_responses("deployment", "success_multiple_deploy... | TestFormatDeployments |
python | wireservice__csvkit | csvkit/convert/fixed.py | {
"start": 2848,
"end": 4092
} | class ____:
"""
Instantiated with a schema, able to return a sequence of trimmed strings
representing fields given a fixed-length line. Flexible about where the
columns are, as long as they are headed with the literal names 'column',
'start', and 'length'.
"""
def __init__(self, schema):
... | FixedWidthRowParser |
python | pytorch__pytorch | test/test_overrides.py | {
"start": 49989,
"end": 50183
} | class ____(TestCase):
# Regression test for gh-55868
def test_rnn(self):
model = torch.nn.RNN(10, 20, 2)
input = Wrapper(torch.randn(1, 5, 10))
model(input)
| TestRNN |
python | microsoft__pyright | packages/pyright-internal/src/tests/samples/protocolExplicit1.py | {
"start": 1201,
"end": 1240
} | class ____(Protocol5):
pass
| Concrete5 |
python | getsentry__sentry | tests/snuba/api/endpoints/test_organization_events_mep.py | {
"start": 130106,
"end": 146434
} | class ____(
MetricsEnhancedPerformanceTestCase
):
viewname = "sentry-api-0-organization-events"
def setUp(self) -> None:
super().setUp()
self.url = reverse(
self.viewname, kwargs={"organization_id_or_slug": self.organization.slug}
)
self.features = {"organization... | OrganizationEventsMetricsEnhancedPerformanceEndpointTestWithOnDemandMetrics |
python | haoel__leetcode | algorithms/python/firstMissingPositive/firstMissingPositive.py | {
"start": 552,
"end": 1070
} | class ____:
def firstMissingPositive(self, nums: [int]) -> int:
for i in range(len(nums)):
while nums[i]>0 and nums[i]<len(nums) and nums[i]-1!=i and nums[i]!=nums[nums[i]-1]:
nums[nums[i]-1], nums[i] = nums[i], nums[nums[i]-1]
for i in range(len(nums)):
if i ... | Solution |
python | vyperlang__vyper | vyper/exceptions.py | {
"start": 8371,
"end": 8470
} | class ____(VyperException):
"""Assignment to a name that is already in use."""
| NamespaceCollision |
python | django__django | tests/serializers/tests.py | {
"start": 19322,
"end": 20909
} | class ____:
available_apps = ["serializers"]
@skipUnlessDBFeature("supports_forward_references")
def test_forward_refs(self):
"""
Objects ids can be referenced before they are
defined in the serialization data.
"""
# The deserialization process needs to run in a tran... | SerializersTransactionTestBase |
python | numba__numba | numba/tests/test_dyn_array.py | {
"start": 26269,
"end": 27804
} | class ____(object):
def mutate_array(self, arr):
try:
arr.fill(42)
except (TypeError, ValueError):
# Try something else (e.g. Numpy 1.6 with structured dtypes)
fill_value = b'x' * arr.dtype.itemsize
arr.fill(fill_value)
def check_like(self, pyfun... | ConstructorLikeBaseTest |
python | run-llama__llama_index | llama-index-integrations/embeddings/llama-index-embeddings-vllm/llama_index/embeddings/vllm/base.py | {
"start": 589,
"end": 7600
} | class ____(MultiModalEmbedding):
"""
Vllm LLM.
This class runs a vLLM embedding model locally.
"""
tensor_parallel_size: Optional[int] = Field(
default=1,
description="The number of GPUs to use for distributed execution with tensor parallelism.",
)
trust_remote_code: Optio... | VllmEmbedding |
python | huggingface__transformers | src/transformers/models/qwen2_5_omni/modular_qwen2_5_omni.py | {
"start": 43425,
"end": 47358
} | class ____(PreTrainedConfig):
"""
This is the configuration class to store the configuration of a [`Qwen2_5OmniForConditionalGeneration`]. It is used to instantiate a Qwen2.5Omni
model according to the specified sub-models configurations, defining the model architecture.
Instantiating a configuration w... | Qwen2_5OmniConfig |
python | imageio__imageio | imageio/plugins/_freeimage.py | {
"start": 47466,
"end": 51739
} | class ____(FIBaseBitmap):
"""Wrapper for the multipage FI bitmap object."""
def load_from_filename(self, filename=None):
if filename is None: # pragma: no cover
filename = self._filename
# Prepare
create_new = False
read_only = True
keep_cache_in_memory = F... | FIMultipageBitmap |
python | apache__airflow | airflow-core/src/airflow/callbacks/callback_requests.py | {
"start": 1777,
"end": 2852
} | class ____(BaseCallbackRequest):
"""
Task callback status information.
A Class with information about the success/failure TI callback to be executed. Currently, only failure
callbacks when tasks are externally killed or experience heartbeat timeouts are run via DagFileProcessorProcess.
"""
ti:... | TaskCallbackRequest |
python | django__django | tests/admin_views/admin.py | {
"start": 19197,
"end": 19296
} | class ____(forms.ModelForm):
class Meta:
widgets = {"title": forms.HiddenInput}
| StoryForm |
python | getsentry__sentry | src/sentry/management/commands/generate_controlsilo_urls.py | {
"start": 1495,
"end": 7526
} | class ____(BaseCommand):
help = "Generate a list of URL patterns served by control silo endpoints"
def add_arguments(self, parser):
parser.add_argument(
"--format",
choices=["text", "js"],
dest="format",
default="text",
help="The format of the... | Command |
python | tqdm__tqdm | tests/tests_contrib_logging.py | {
"start": 964,
"end": 2123
} | class ____:
def test_should_call_tqdm_write(self):
CustomTqdm.messages = []
logger = logging.Logger('test')
logger.handlers = [TqdmLoggingHandler(CustomTqdm)]
logger.info('test')
assert CustomTqdm.messages == ['test']
def test_should_call_handle_error_if_exception_was_th... | TestTqdmLoggingHandler |
python | Textualize__textual | src/textual/renderables/text_opacity.py | {
"start": 1068,
"end": 3674
} | class ____:
"""Blend foreground into background."""
def __init__(self, renderable: RenderableType, opacity: float = 1.0) -> None:
"""Wrap a renderable to blend foreground color into the background color.
Args:
renderable: The RenderableType to manipulate.
opacity: The o... | TextOpacity |
python | great-expectations__great_expectations | great_expectations/expectations/metrics/column_aggregate_metrics/column_sum.py | {
"start": 580,
"end": 1140
} | class ____(ColumnAggregateMetricProvider):
metric_name = "column.sum"
@column_aggregate_value(engine=PandasExecutionEngine)
def _pandas(cls, column, **kwargs):
convert_pandas_series_decimal_to_float_dtype(data=column, inplace=True)
return column.sum()
@column_aggregate_partial(engine=S... | ColumnSum |
python | realpython__materials | django-vue-graphql/source_code_final/back_end/blog/schema.py | {
"start": 462,
"end": 1860
} | class ____(graphene.ObjectType):
all_posts = graphene.List(PostType)
author_by_username = graphene.Field(AuthorType, username=graphene.String())
post_by_slug = graphene.Field(PostType, slug=graphene.String())
posts_by_author = graphene.List(PostType, username=graphene.String())
posts_by_tag = graphe... | Query |
python | getsentry__sentry | tests/sentry/tasks/test_post_process.py | {
"start": 7376,
"end": 13795
} | class ____(BasePostProgressGroupMixin):
def _create_event(
self,
data: dict[str, Any],
project_id: int | None = None,
) -> Event:
data.setdefault("platform", "javascript")
return self.store_event(data=data, project_id=project_id or self.project.id)
def _generate_node... | DeriveCodeMappingsProcessGroupTestMixin |
python | weaviate__weaviate-python-client | weaviate/collections/classes/config_vector_index.py | {
"start": 3901,
"end": 4317
} | class ____(_VectorIndexConfigUpdate):
dynamicEfMin: Optional[int]
dynamicEfMax: Optional[int]
dynamicEfFactor: Optional[int]
ef: Optional[int]
filterStrategy: Optional[VectorFilterStrategy]
flatSearchCutoff: Optional[int]
vectorCacheMaxObjects: Optional[int]
@staticmethod
def vector... | _VectorIndexConfigHNSWUpdate |
python | huggingface__transformers | src/transformers/modeling_gguf_pytorch_utils.py | {
"start": 1659,
"end": 1748
} | class ____(NamedTuple):
weights: np.ndarray
name: str
metadata: dict
| GGUFTensor |
python | pytorch__pytorch | test/inductor/test_torchinductor.py | {
"start": 484566,
"end": 549111
} | class ____:
suffixes: tuple[str, ...]
is_skip: bool = False
__test__: bool = False
def copy_tests(my_cls, other_cls, suffix, test_failures=None, xfail_prop=None): # noqa: B902
for name, value in my_cls.__dict__.items():
if name.startswith("test_"):
# You cannot copy functions in P... | TestFailure |
python | great-expectations__great_expectations | great_expectations/datasource/fluent/pandas_azure_blob_storage_datasource.py | {
"start": 1108,
"end": 1199
} | class ____(PandasDatasourceError):
pass
@public_api
| PandasAzureBlobStorageDatasourceError |
python | numba__numba | numba/tests/test_object_mode.py | {
"start": 607,
"end": 3257
} | class ____(TestCase):
def test_complex_constant(self):
pyfunc = complex_constant
cfunc = jit((), forceobj=True)(pyfunc)
self.assertPreciseEqual(pyfunc(12), cfunc(12))
def test_long_constant(self):
pyfunc = long_constant
cfunc = jit((), forceobj=True)(pyfunc)
sel... | TestObjectMode |
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