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 | ansible__ansible | test/units/mock/custom_types.py | {
"start": 1026,
"end": 1058
} | class ____(float): ...
| CustomFloat |
python | ray-project__ray | rllib/algorithms/ppo/torch/default_ppo_torch_rl_module.py | {
"start": 722,
"end": 3126
} | class ____(TorchRLModule, DefaultPPORLModule):
def __init__(self, *args, **kwargs):
catalog_class = kwargs.pop("catalog_class", None)
if catalog_class is None:
catalog_class = PPOCatalog
super().__init__(*args, **kwargs, catalog_class=catalog_class)
@override(RLModule)
d... | DefaultPPOTorchRLModule |
python | facelessuser__pymdown-extensions | tests/test_extensions/test_magiclink.py | {
"start": 86,
"end": 2372
} | class ____(util.MdCase):
"""Test cases for repo link shortening."""
extension = [
'pymdownx.magiclink',
]
extension_configs = {
'pymdownx.magiclink': {
'repo_url_shortener': True
}
}
def test_user(self):
"""Test user shortening."""
# Test #... | TestMagicLinkShortner |
python | google__jax | tests/pjit_test.py | {
"start": 44770,
"end": 52170
} | class ____(jtu.JaxTestCase):
@parameterized.named_parameters(
('2d_array', (4, 2), (4, 2), ('x', 'y')),
# TODO(b/226977360): Support 3D mesh shape for example (2, 2, 2).
('3d_array', (1, 4, 2), (2, 4, 8, 4), ('x', 'y', 'z')),
('1d_array', (8,), (8, 2), ('x')),
)
def test_pjit_arr_auto_sharding_ar... | AutoShardingPjitTest |
python | pytorch__pytorch | test/test_cuda.py | {
"start": 227582,
"end": 242125
} | class ____(TestCase):
# These tests will be instantiate with instantiate_device_type_tests
# to apply the new OptimizerInfo structure.
@onlyCUDA
@unittest.skipIf(
not TEST_CUDA_GRAPH, "CUDA >= 11.0 or ROCM >=5.3 required for graphs"
)
@optims(
[optim for optim in optim_db if opt... | TestCudaOptims |
python | scipy__scipy | scipy/stats/_multivariate.py | {
"start": 211953,
"end": 214427
} | class ____(multi_rv_frozen):
__class_getitem__ = None
def __init__(self, row, col, *, seed=None):
self._dist = random_table_gen(seed)
self._params = self._dist._process_parameters(row, col)
# monkey patch self._dist
def _process_parameters(r, c):
return self._params... | random_table_frozen |
python | huggingface__transformers | src/transformers/models/depth_anything/modeling_depth_anything.py | {
"start": 7950,
"end": 9802
} | class ____(nn.Module):
"""
DepthAnythingNeck. A neck is a module that is normally used between the backbone and the head. It takes a list of tensors as
input and produces another list of tensors as output. For DepthAnything, it includes 2 stages:
* DepthAnythingReassembleStage
* DepthAnythingFeatur... | DepthAnythingNeck |
python | dagster-io__dagster | python_modules/libraries/dagster-shared/dagster_shared/serdes/objects/package_entry.py | {
"start": 2419,
"end": 4119
} | class ____:
key: EnvRegistryKey
aliases: Sequence[EnvRegistryKey]
summary: Optional[str]
description: Optional[str]
owners: Optional[Sequence[str]]
tags: Optional[Sequence[str]]
feature_data: Sequence[EnvRegistryObjectFeatureData]
@property
def features(self) -> Sequence[EnvRegistry... | EnvRegistryObjectSnap |
python | huggingface__transformers | tests/models/smolvlm/test_video_processing_smolvlm.py | {
"start": 1054,
"end": 3114
} | class ____:
def __init__(
self,
parent,
batch_size=5,
num_frames=8,
num_channels=3,
min_resolution=30,
max_resolution=80,
do_resize=True,
size=None,
do_normalize=True,
image_mean=IMAGENET_STANDARD_MEAN,
image_std=IMAGENE... | SmolVLMVideoProcessingTester |
python | pytorch__pytorch | test/distributed/test_c10d_spawn.py | {
"start": 3033,
"end": 9229
} | class ____(MultiProcessTestCase):
def setUp(self):
super().setUp()
self._spawn_processes()
def tearDown(self):
super().tearDown()
try:
os.remove(self.file_name)
except OSError:
pass
@property
def op_timeout_sec(self):
return 1
... | TestDistributedNNFunctions |
python | pennersr__django-allauth | allauth/usersessions/forms.py | {
"start": 76,
"end": 341
} | class ____(forms.Form):
def __init__(self, *args, **kwargs):
self.request = kwargs.pop("request")
super().__init__(*args, **kwargs)
def save(self, request):
flows.sessions.end_other_sessions(request, request.user)
| ManageUserSessionsForm |
python | celery__celery | t/unit/worker/test_strategy.py | {
"start": 10389,
"end": 10524
} | class ____(test_default_strategy_proto2):
def get_message_class(self):
return self.TaskMessage1
| test_default_strategy_proto1 |
python | ray-project__ray | rllib/policy/torch_mixins.py | {
"start": 3416,
"end": 4693
} | class ____:
"""Assigns the `update_kl()` method to a TorchPolicy.
This is used by Algorithms to update the KL coefficient
after each learning step based on `config.kl_target` and
the measured KL value (from the train_batch).
"""
def __init__(self, config):
# The current KL value (as py... | KLCoeffMixin |
python | great-expectations__great_expectations | contrib/great_expectations_semantic_types_expectations/great_expectations_semantic_types_expectations/expectations/expect_column_values_to_be_valid_crypto_ticker.py | {
"start": 1687,
"end": 3950
} | class ____(ColumnMapExpectation):
"""Expect column values to be valid cryptocurrency tickers."""
# These examples will be shown in the public gallery.
# They will also be executed as unit tests for your Expectation.
examples = [
{
"data": {
"well_formed_crypto_ticker... | ExpectColumnValuesToBeValidCryptoTicker |
python | numba__numba | numba/cuda/tests/cudapy/test_compiler.py | {
"start": 9967,
"end": 10821
} | class ____(unittest.TestCase):
'''For tests where we can only check correctness by examining the compiler
output rather than observing the effects of execution.'''
def test_nanosleep(self):
def use_nanosleep(x):
# Sleep for a constant time
cuda.nanosleep(32)
# Sl... | TestCompileOnlyTests |
python | huggingface__transformers | src/transformers/models/regnet/modeling_regnet.py | {
"start": 12189,
"end": 14120
} | class ____(RegNetPreTrainedModel):
def __init__(self, config):
super().__init__(config)
self.num_labels = config.num_labels
self.regnet = RegNetModel(config)
# classification head
self.classifier = nn.Sequential(
nn.Flatten(),
nn.Linear(config.hidden_s... | RegNetForImageClassification |
python | dask__distributed | distributed/tests/test_scheduler.py | {
"start": 99474,
"end": 168658
} | class ____(ConnectionPool):
def __init__(self, *args, failing_connections=0, **kwargs):
self.cnn_count = 0
self.failing_connections = failing_connections
super().__init__(*args, **kwargs)
async def connect(self, *args, **kwargs):
self.cnn_count += 1
if self.cnn_count > s... | FlakyConnectionPool |
python | sqlalchemy__sqlalchemy | lib/sqlalchemy/util/langhelpers.py | {
"start": 33341,
"end": 34608
} | class ____(Generic[_T_co]):
"""Descriptor which proxies a function when the attribute is not
present in dict
This superclass is organized in a particular way with "memoized" and
"non-memoized" implementation classes that are hidden from type checkers,
as Mypy seems to not be able to handle seeing m... | generic_fn_descriptor |
python | spack__spack | lib/spack/spack/audit.py | {
"start": 1831,
"end": 2431
} | class ____:
"""Information on an error reported in a test."""
def __init__(self, summary, details):
self.summary = summary
self.details = tuple(details)
def __str__(self):
if self.details:
return f"{self.summary}\n" + "\n".join(f" {detail}" for detail in self.details... | Error |
python | huggingface__transformers | src/transformers/models/granite_speech/modeling_granite_speech.py | {
"start": 4127,
"end": 5032
} | class ____(nn.Module):
"""Feedforward module for conformer encoder blocks."""
def __init__(self, config: GraniteSpeechEncoderConfig):
super().__init__()
self.pre_norm = nn.LayerNorm(config.hidden_dim)
self.up_proj = nn.Linear(config.hidden_dim, config.hidden_dim * config.feedforward_mul... | GraniteSpeechConformerFeedForward |
python | charliermarsh__ruff | crates/ruff_linter/resources/test/fixtures/pylint/invalid_return_type_hash.py | {
"start": 664,
"end": 737
} | class ____:
def __hash__(self):
x = 7741
return x
| Hash2 |
python | django__django | django/contrib/gis/gdal/field.py | {
"start": 4552,
"end": 4735
} | class ____(Field):
@property
def value(self):
"Return a float contained in this field."
return self.as_double()
# String & Binary fields, just subclasses
| OFTReal |
python | langchain-ai__langchain | libs/core/langchain_core/utils/function_calling.py | {
"start": 1100,
"end": 1383
} | class ____(TypedDict):
"""Representation of a callable function to send to an LLM."""
name: str
"""The name of the function."""
description: str
"""A description of the function."""
parameters: dict
"""The parameters of the function."""
| FunctionDescription |
python | huggingface__transformers | src/transformers/models/yoso/modeling_yoso.py | {
"start": 30694,
"end": 31572
} | class ____(nn.Module):
"""Head for sentence-level classification tasks."""
def __init__(self, config):
super().__init__()
self.dense = nn.Linear(config.hidden_size, config.hidden_size)
self.dropout = nn.Dropout(config.hidden_dropout_prob)
self.out_proj = nn.Linear(config.hidden_... | YosoClassificationHead |
python | PrefectHQ__prefect | src/integrations/prefect-github/prefect_github/schemas/graphql_schema.py | {
"start": 159043,
"end": 159502
} | class ____(sgqlc.types.Input):
"""
See source code for more info.
"""
__schema__ = graphql_schema
__field_names__ = ("comment_id", "body", "client_mutation_id")
comment_id = sgqlc.types.Field(sgqlc.types.non_null(ID), graphql_name="commentId")
body = sgqlc.types.Field(sgqlc.types.non_null(S... | UpdateDiscussionCommentInput |
python | langchain-ai__langchain | libs/langchain/langchain_classic/agents/agent.py | {
"start": 32886,
"end": 62129
} | class ____(Chain):
"""Agent that is using tools."""
agent: BaseSingleActionAgent | BaseMultiActionAgent | Runnable
"""The agent to run for creating a plan and determining actions
to take at each step of the execution loop."""
tools: Sequence[BaseTool]
"""The valid tools the agent can call."""
... | AgentExecutor |
python | Textualize__textual | src/textual/worker.py | {
"start": 794,
"end": 860
} | class ____(Exception):
"""A worker related error."""
| WorkerError |
python | pytorch__pytorch | test/distributed/test_c10d_common.py | {
"start": 40142,
"end": 51631
} | class ____:
@property
def op_timeout_sec(self):
return 1
@property
def world_size(self):
return 2
@property
def device(self):
self.fail("test subclass didn't override device")
def _verify_sequence_number_across_pg(self, pg, verify_pg):
seq_num = pg._get_seq... | AbstractCommTest |
python | django-extensions__django-extensions | tests/management/commands/test_create_jobs.py | {
"start": 1109,
"end": 2730
} | class ____(CreateJobsTestsMixin, TestCase):
def test_should_create_jobs_directory_structure_silently(self):
call_command("create_jobs", "testapp_with_no_models_file")
self.assertTrue(os.path.exists(JOBS_DIR))
@patch("sys.stdout", new_callable=StringIO)
def test_should_create_jobs_directory... | CreateJobsTests |
python | huggingface__transformers | src/transformers/models/whisper/english_normalizer.py | {
"start": 2078,
"end": 2783
} | class ____:
def __init__(self, remove_diacritics: bool = False, split_letters: bool = False):
self.clean = remove_symbols_and_diacritics if remove_diacritics else remove_symbols
self.split_letters = split_letters
def __call__(self, s: str):
s = s.lower()
s = re.sub(r"[<\[][^>\]]... | BasicTextNormalizer |
python | huggingface__transformers | src/transformers/models/seamless_m4t/modeling_seamless_m4t.py | {
"start": 92030,
"end": 94162
} | class ____(nn.Module):
def __init__(self, channels, kernel_size=3, dilation=(1, 3, 5), leaky_relu_slope=0.1):
super().__init__()
self.leaky_relu_slope = leaky_relu_slope
self.convs1 = nn.ModuleList(
[
nn.Conv1d(
channels,
c... | HifiGanResidualBlock |
python | pandas-dev__pandas | pandas/tests/util/test_assert_produces_warning.py | {
"start": 8296,
"end": 10123
} | class ____:
def test_raise_on_warning(self, false_or_none):
msg = r"Caused unexpected warning\(s\)"
with pytest.raises(AssertionError, match=msg):
with tm.assert_produces_warning(false_or_none):
f()
def test_no_raise_without_warning(self, false_or_none):
with... | TestFalseOrNoneExpectedWarning |
python | dagster-io__dagster | python_modules/dagster-graphql/dagster_graphql_tests/graphql/test_retry_execution.py | {
"start": 2078,
"end": 3389
} | class ____(ReadonlyGraphQLContextTestMatrix):
def test_retry_execution_permission_failure(self, graphql_context: WorkspaceRequestContext):
selector = infer_job_selector(graphql_context, "eventually_successful")
code_location = graphql_context.get_code_location(main_repo_location_name())
rep... | TestRetryExecutionReadonly |
python | huggingface__transformers | examples/modular-transformers/modeling_test_detr.py | {
"start": 17053,
"end": 21800
} | class ____(nn.Module):
"""
Multiscale deformable attention as proposed in Deformable DETR.
"""
def __init__(self, config: TestDetrConfig, num_heads: int, n_points: int):
super().__init__()
self.attn = MultiScaleDeformableAttention()
if config.d_model % num_heads != 0:
... | TestDetrMultiscaleDeformableAttention |
python | milvus-io__pymilvus | pymilvus/client/asynch.py | {
"start": 5179,
"end": 5331
} | class ____(Future):
def on_response(self, response: Any):
check_status(response.status)
return MutationResult(response)
| MutationFuture |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-github/source_github/github_schema.py | {
"start": 66064,
"end": 66505
} | class ____(sgqlc.types.Enum):
"""Properties by which project workflows can be ordered.
Enumeration Choices:
* `CREATED_AT`: The workflows' date and time of creation
* `NAME`: The workflows' name
* `NUMBER`: The workflows' number
* `UPDATED_AT`: The workflows' date and time of update
"""
... | ProjectV2WorkflowsOrderField |
python | google__jax | tests/state_test.py | {
"start": 24661,
"end": 37070
} | class ____(jtu.JaxTestCase):
def test_discharge_get(self):
def f(a_ref):
a = ref_get(a_ref, ())
return [a + 1]
in_avals = [shaped_array_ref((), jnp.dtype('float32'))]
stateful_jaxpr, _, consts = pe.trace_to_jaxpr_dynamic(wrap_init(f, 1),
... | StateDischargeTest |
python | python__mypy | mypy/nodes.py | {
"start": 72999,
"end": 73332
} | class ____(Expression):
__slots__ = ("expr",)
__match_args__ = ("expr",)
expr: Expression | None
def __init__(self, expr: Expression | None) -> None:
super().__init__()
self.expr = expr
def accept(self, visitor: ExpressionVisitor[T]) -> T:
return visitor.visit_yield_expr(... | YieldExpr |
python | Farama-Foundation__Gymnasium | gymnasium/spaces/tuple.py | {
"start": 262,
"end": 7598
} | class ____(Space[tuple[Any, ...]], typing.Sequence[Any]):
"""A tuple (more precisely: the cartesian product) of :class:`Space` instances.
Elements of this space are tuples of elements of the constituent spaces.
Example:
>>> from gymnasium.spaces import Tuple, Box, Discrete
>>> observation_... | Tuple |
python | microsoft__pyright | packages/pyright-internal/src/tests/samples/property17.py | {
"start": 477,
"end": 602
} | class ____(Generic[T]):
@property
def prop(self: RootProto[T]) -> T:
return self.root.prop
@dataclass
| RootMixin |
python | doocs__leetcode | solution/0800-0899/0875.Koko Eating Bananas/Solution.py | {
"start": 0,
"end": 250
} | class ____:
def minEatingSpeed(self, piles: List[int], h: int) -> int:
def check(k: int) -> bool:
return sum((x + k - 1) // k for x in piles) <= h
return 1 + bisect_left(range(1, max(piles) + 1), True, key=check)
| Solution |
python | dagster-io__dagster | python_modules/dagster/dagster/_config/errors.py | {
"start": 1700,
"end": 2603
} | class ____(IHaveNew):
config_type_snap: ConfigTypeSnap
incoming_fields: Sequence[str]
def __new__(
cls,
*,
config_type_snap: ConfigTypeSnap,
incoming_fields: Sequence[str],
):
check.inst_param(config_type_snap, "config_type_snap", ConfigTypeSnap)
check.pa... | SelectorTypeErrorData |
python | lepture__authlib | authlib/oauth1/rfc5849/wrapper.py | {
"start": 481,
"end": 4073
} | class ____:
def __init__(self, method, uri, body=None, headers=None):
InsecureTransportError.check(uri)
self.method = method
self.uri = uri
self.body = body
self.headers = headers or {}
# states namespaces
self.client = None
self.credential = None
... | OAuth1Request |
python | prabhupant__python-ds | data_structures/graphs/all_paths_between_two_vertices.py | {
"start": 208,
"end": 1148
} | class ____:
def __init__(self, vertices):
self.vertices = vertices
self.graph = [[] for i in range(vertices)]
def add_edge(self, u, v):
self.graph[u].append(v)
def count_paths_util(self, u, v, visited, counter):
visited[u] = True
# If the destination ver... | Graph |
python | pypa__setuptools | setuptools/_vendor/backports/tarfile/__init__.py | {
"start": 9951,
"end": 10033
} | class ____(TarError):
"""Base exception for header errors."""
pass
| HeaderError |
python | huggingface__transformers | src/transformers/models/voxtral/modular_voxtral.py | {
"start": 1459,
"end": 1876
} | class ____(Qwen2AudioPreTrainedModel):
_supports_flex_attn = True
_supports_cache_class = True
_supports_attention_backend = True
_can_compile_fullgraph = True
_no_split_modules = None
# TODO: @eustlb, I would really prefer to use WhisperEncoder but it's messing with modular
@auto_docstring(
c... | VoxtralPreTrainedModel |
python | huggingface__transformers | src/transformers/models/marian/modeling_marian.py | {
"start": 56810,
"end": 61482
} | class ____(MarianPreTrainedModel, GenerationMixin):
_tied_weights_keys = {
"lm_head.weight": "model.decoder.embed_tokens.weight",
}
def __init__(self, config):
config.is_decoder = True
config.is_encoder_decoder = False
super().__init__(config)
self.model = MarianDeco... | MarianForCausalLM |
python | networkx__networkx | networkx/exception.py | {
"start": 1495,
"end": 1658
} | class ____(NetworkXAlgorithmError):
"""Exception raised by algorithms trying to solve a problem
instance that has no feasible solution."""
| NetworkXUnfeasible |
python | microsoft__pyright | packages/pyright-internal/src/tests/samples/newType1.py | {
"start": 1982,
"end": 2066
} | class ____(ABC):
@abstractmethod
def method1(self, /) -> int: ...
| AbstractBase |
python | sqlalchemy__sqlalchemy | test/typing/plain_files/orm/relationship.py | {
"start": 5220,
"end": 5565
} | class ____:
__tablename__ = "a"
id: Mapped[int] = mapped_column(primary_key=True)
b_id: Mapped[int] = mapped_column(ForeignKey("b.id"))
number: Mapped[int] = mapped_column(primary_key=True)
number2: Mapped[int] = mapped_column(primary_key=True)
if TYPE_CHECKING:
__table__: ClassVar[Table... | A |
python | pypa__hatch | backend/src/hatchling/bridge/app.py | {
"start": 82,
"end": 3242
} | class ____:
"""
The way output is displayed can be [configured](../config/hatch.md#terminal) by users.
!!! important
Never import this directly; Hatch judiciously decides if a type of plugin requires
the capabilities herein and will grant access via an attribute.
"""
def __init__(s... | Application |
python | jazzband__django-formtools | tests/wizard/namedwizardtests/forms.py | {
"start": 1485,
"end": 1599
} | class ____(ContactWizard):
storage_name = 'formtools.wizard.storage.session.SessionStorage'
| SessionContactWizard |
python | keras-team__keras | keras/src/ops/numpy.py | {
"start": 211458,
"end": 212920
} | class ____(Operation):
def call(self, xs):
return backend.numpy.vstack(xs)
def compute_output_spec(self, xs):
first_shape = xs[0].shape
total_size_on_axis = 0
dtypes_to_resolve = []
for x in xs:
if not shape_equal(x.shape, first_shape, axis=[0], allow_none=Tr... | Vstack |
python | getsentry__sentry | tests/sentry/db/test_router.py | {
"start": 343,
"end": 5206
} | class ____(TestCase):
"""Simulated mode can resolve both silos to separate connections"""
@override_settings(SILO_MODE=None)
def test_simulated_no_silo(self) -> None:
# Simulated silo mode should work the same as with a silo mode defined..
router = SiloRouter()
router.use_simulated(... | SiloRouterSimulatedTest |
python | pallets__werkzeug | examples/coolmagic/application.py | {
"start": 619,
"end": 2468
} | class ____:
"""
The application class. It's passed a directory with configuration values.
"""
def __init__(self, config):
self.config = config
for fn in listdir(path.join(path.dirname(__file__), "views")):
if fn.endswith(".py") and fn != "__init__.py":
__imp... | CoolMagicApplication |
python | walkccc__LeetCode | solutions/3424. Minimum Cost to Make Arrays Identical/3424.py | {
"start": 0,
"end": 259
} | class ____:
def minCost(self, arr: list[int], brr: list[int], k: int) -> int:
def cost(arr: list[int], brr: list[int]) -> int:
return sum(abs(a - b) for a, b in zip(arr, brr))
return min(cost(arr, brr), cost(sorted(arr), sorted(brr)) + k)
| Solution |
python | tensorflow__tensorflow | tensorflow/python/ops/nn_grad_test.py | {
"start": 4720,
"end": 6750
} | class ____(test.TestCase):
def run_test(self, x, y):
with self.test_session():
error = gradient_checker.compute_gradient_error(x,
x.get_shape().as_list(),
y,
... | DepthwiseConv2dTest |
python | getsentry__sentry | tests/snuba/api/endpoints/test_organization_trace_item_attributes.py | {
"start": 28577,
"end": 33662
} | class ____(
OrganizationTraceItemAttributesEndpointTestBase, TraceMetricsTestCase
):
feature_flags = {"organizations:tracemetrics-enabled": True}
item_type = SupportedTraceItemType.TRACEMETRICS
def test_no_feature(self) -> None:
response = self.do_request(features={})
assert response.st... | OrganizationTraceItemAttributesEndpointTraceMetricsTest |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-github/source_github/github_schema.py | {
"start": 30138,
"end": 30514
} | class ____(sgqlc.types.Enum):
"""Properties by which issue connections can be ordered.
Enumeration Choices:
* `COMMENTS`: Order issues by comment count
* `CREATED_AT`: Order issues by creation time
* `UPDATED_AT`: Order issues by update time
"""
__schema__ = github_schema
__choices__ ... | IssueOrderField |
python | jazzband__django-polymorphic | src/polymorphic/tests/models.py | {
"start": 5728,
"end": 5787
} | class ____(PolymorphicModel):
pass
| ParentModelWithManager |
python | spack__spack | lib/spack/spack/multimethod.py | {
"start": 11655,
"end": 12039
} | class ____(spack.error.SpackError):
"""Raised when we can't find a version of a multi-method."""
def __init__(self, cls, method_name, spec, possible_specs):
super().__init__(
"Package %s does not support %s called with %s. Options are: %s"
% (cls.__name__, method_name, spec, ",... | NoSuchMethodError |
python | huggingface__transformers | src/transformers/models/mra/modeling_mra.py | {
"start": 9088,
"end": 18228
} | class ____:
@staticmethod
def operator_call(sparse_query, indices, query_num_block, key_num_block):
batch_size, num_block, block_size, _ = sparse_query.size()
if len(sparse_query.size()) != 4:
raise ValueError("sparse_query must be a 4-dimensional tensor.")
if len(indices.s... | MraReduceSum |
python | ray-project__ray | python/ray/data/_internal/datasource/json_datasource.py | {
"start": 6390,
"end": 9730
} | class ____(FileBasedDatasource):
# Buffer size in bytes for reading files. Default is 1MB.
#
# pandas reads data in small chunks (~8 KiB), which leads to many costly
# small read requests when accessing cloud storage. To reduce overhead and
# improve performance, we wrap the file in a larger buffer... | PandasJSONDatasource |
python | facebook__pyre-check | source/interprocedural_analyses/taint/test/integration/attributes.py | {
"start": 338,
"end": 373
} | class ____:
token: str = ""
| Token |
python | sanic-org__sanic | sanic/request/types.py | {
"start": 2405,
"end": 37161
} | class ____(Generic[sanic_type, ctx_type]):
"""State of HTTP request.
Args:
url_bytes (bytes): Raw URL bytes.
headers (Header): Request headers.
version (str): HTTP version.
method (str): HTTP method.
transport (TransportProtocol): Transport protocol.
app (Sanic):... | Request |
python | spack__spack | var/spack/test_repos/spack_repo/builtin_mock/packages/conditional_constrained_dependencies/package.py | {
"start": 216,
"end": 664
} | class ____(Package):
"""Package that has a variant which adds a dependency forced to
use non default values.
"""
homepage = "https://dev.null"
version("1.0")
# This variant is on by default and attaches a dependency
# with a lot of variants set at their non-default values
variant("dep... | ConditionalConstrainedDependencies |
python | pytorch__pytorch | test/distributed/_composable/test_composability/test_2d_composability.py | {
"start": 21246,
"end": 25607
} | class ____(DTensorTestBase):
def _compare_params(self, m1, m2):
with FSDP.summon_full_params(m1):
with FSDP.summon_full_params(m2):
for n_p1, n_p2 in zip(m1.named_parameters(), m2.named_parameters()):
p1 = n_p1[1]
p2 = n_p2[1]
... | TestNew2dParallelTraining |
python | pydantic__pydantic | tests/mypy/modules/plugin_fail.py | {
"start": 1387,
"end": 1455
} | class ____(BaseModel, from_attributes=list):
pass
| KwargsBadConfig2 |
python | PyCQA__pylint | tests/functional/p/property_affectation_py26.py | {
"start": 104,
"end": 447
} | class ____:
"""Smallest test case for reported issue."""
def __init__(self):
self._thing = None
@property
def myattr(self):
"""Getter for myattr"""
return self._thing
@myattr.setter
def myattr(self, value):
"""Setter for myattr."""
self._thing = value
... | Test |
python | ray-project__ray | python/ray/tune/tests/test_function_api.py | {
"start": 695,
"end": 3602
} | class ____(unittest.TestCase):
def setUp(self):
self.tmpdir = tempfile.TemporaryDirectory()
self.logger_creator = creator_generator(
os.path.join(self.tmpdir.name, "logdir")
)
def create_trainable(self, train_fn):
return wrap_function(train_fn)(
logger_cr... | FunctionCheckpointingTest |
python | huggingface__transformers | src/transformers/models/gpt_neox_japanese/modeling_gpt_neox_japanese.py | {
"start": 14781,
"end": 17069
} | class ____(nn.Module):
def __init__(self, config, layer_number):
super().__init__()
self.layer_number = layer_number
self.input_layernorm = nn.LayerNorm(config.hidden_size, eps=config.layer_norm_eps)
self.post_attention_layernorm = nn.LayerNorm(config.hidden_size, eps=config.layer_no... | GPTNeoXJapaneseLayer |
python | pydata__xarray | xarray/tests/test_combine.py | {
"start": 12246,
"end": 12882
} | class ____:
def test_check_depths(self):
ds = create_test_data(0)
combined_tile_ids = {(0,): ds, (0, 1): ds}
with pytest.raises(
ValueError, match=r"sub-lists do not have consistent depths"
):
_check_shape_tile_ids(combined_tile_ids)
def test_check_length... | TestCheckShapeTileIDs |
python | modin-project__modin | modin/tests/pandas/native_df_interoperability/test_compiler_caster.py | {
"start": 4165,
"end": 4354
} | class ____(CloudQC):
def get_backend(self):
return "Cloud_High_Self"
def stay_cost(self, api_cls_name, op, arguments):
return QCCoercionCost.COST_HIGH
| CloudQCHighSelf |
python | pytest-dev__pytest-xdist | testing/test_remote.py | {
"start": 791,
"end": 2502
} | class ____:
def __init__(
self, request: pytest.FixtureRequest, pytester: pytest.Pytester
) -> None:
self.request = request
self.pytester = pytester
self.use_callback = False
self.events = Queue() # type: ignore[var-annotated]
def setup(self) -> None:
self.p... | WorkerSetup |
python | oauthlib__oauthlib | oauthlib/oauth2/rfc6749/errors.py | {
"start": 296,
"end": 3933
} | class ____(Exception):
error = None
status_code = 400
description = ''
def __init__(self, description=None, uri=None, state=None,
status_code=None, request=None):
"""
:param description: A human-readable ASCII [USASCII] text providing
additio... | OAuth2Error |
python | run-llama__llama_index | llama-index-integrations/embeddings/llama-index-embeddings-vertex/tests/test_embeddings_vertex.py | {
"start": 4500,
"end": 6620
} | class ____(unittest.IsolatedAsyncioTestCase):
@patch("vertexai.init")
@patch("vertexai.language_models.TextEmbeddingModel.from_pretrained")
async def test_get_embedding_retrieval(
self, model_mock: AsyncMock, init_mock: AsyncMock
):
model = MagicMock()
model.get_embeddings_async ... | VertexTextEmbeddingTestAsync |
python | PyCQA__pydocstyle | src/pydocstyle/parser.py | {
"start": 6838,
"end": 6943
} | class ____(Function):
"""A Python source code nested function."""
is_public = False
| NestedFunction |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-github/source_github/graphql.py | {
"start": 10984,
"end": 11625
} | class ____:
def __init__(self, typenames):
self.typename_to_prio = {o: prio for prio, o in enumerate(reversed(typenames))}
self.count = itertools.count()
self.storage = []
def add_cursor(self, typename, cursor, total_count, parent_id=None):
priority = self.typename_to_prio[typen... | CursorStorage |
python | ray-project__ray | python/ray/_private/thirdparty/pynvml/pynvml.py | {
"start": 93603,
"end": 94101
} | class ____(_PrintableStructure):
_fields_ = [
('version', c_uint), # input
('engineId', c_uint), # input. One of NVML_ENGINE_TYPE*
('schedulerPolicy', c_uint), # output
('arrMode', c_uint), ... | c_nvmlVgpuSchedulerStateInfo_v1_t |
python | astropy__astropy | astropy/io/votable/exceptions.py | {
"start": 9967,
"end": 12565
} | class ____(VOTableChangeWarning):
"""Implicitly generating an ID from a name.
The VOTable 1.1 spec says the following about ``name`` vs. ``ID``
on ``FIELD`` and ``VALUE`` elements:
``ID`` and ``name`` attributes have a different role in
VOTable: the ``ID`` is meant as a *unique identifier*... | W03 |
python | facelessuser__pymdown-extensions | tests/test_extensions/test_slugs.py | {
"start": 1666,
"end": 2280
} | class ____(util.MdCase):
"""Test Unicode cased, encoded slugs."""
extension = ['markdown.extensions.toc']
extension_configs = {
'markdown.extensions.toc': {
"slugify": slugs.slugify(percent_encode=True)
}
}
def test_slug(self):
"""Test the slug output."""
... | TestUslugifyCasedEncoded |
python | Lightning-AI__lightning | src/lightning/fabric/utilities/data.py | {
"start": 1292,
"end": 21615
} | class ____(LightningEnum):
SET = "set"
DEL = "del"
def __call__(self, *args: Any) -> None:
fn: Union[Callable[[object, str], None], Callable[[object, str, Any], None]]
fn = setattr if self == self.SET else delattr
return fn(*args)
def has_iterable_dataset(dataloader: object) -> bo... | _WrapAttrTag |
python | wandb__wandb | tests/system_tests/test_core/test_torch_full.py | {
"start": 1493,
"end": 1825
} | class ____(nn.Module):
def __init__(self, num_outputs=2):
super().__init__()
self.linear1 = nn.Linear(1, 10)
self.linear2 = nn.Linear(10, num_outputs)
self.dist = Discrete()
def forward(self, x):
x = self.linear1(x)
x = self.linear2(x)
return self.dist(x)... | DiscreteModel |
python | coleifer__peewee | peewee.py | {
"start": 12927,
"end": 13673
} | class ____(Proxy):
"""
Proxy implementation specifically for proxying `Database` objects.
"""
__slots__ = ('obj', '_callbacks', '_Model')
def connection_context(self):
return ConnectionContext(self)
def atomic(self, *args, **kwargs):
return _atomic(self, *args, **kwargs)
def... | DatabaseProxy |
python | getsentry__sentry | tests/sentry/workflow_engine/handlers/condition/test_first_seen_event_handler.py | {
"start": 427,
"end": 2974
} | class ____(ConditionTestCase):
condition = Condition.FIRST_SEEN_EVENT
payload = {"id": FirstSeenEventCondition.id}
def setUp(self) -> None:
super().setUp()
self.event_data = WorkflowEventData(
event=self.group_event,
group=self.group_event.group,
group_st... | TestFirstSeenEventCondition |
python | apache__airflow | airflow-core/src/airflow/utils/db.py | {
"start": 44587,
"end": 52121
} | class ____(enum.IntEnum):
"""
Cross-db Identifiers for advisory global database locks.
Postgres uses int64 lock ids so we use the integer value, MySQL uses names, so we
call ``str()`, which is implemented using the ``_name_`` field.
"""
MIGRATIONS = enum.auto()
SCHEDULER_CRITICAL_SECTION =... | DBLocks |
python | scrapy__scrapy | scrapy/spidermiddlewares/referer.py | {
"start": 5974,
"end": 6944
} | class ____(ReferrerPolicy):
"""
https://www.w3.org/TR/referrer-policy/#referrer-policy-strict-origin
The "strict-origin" policy sends the ASCII serialization
of the origin of the request client when making requests:
- from a TLS-protected environment settings object to a potentially trustworthy URL... | StrictOriginPolicy |
python | allegroai__clearml | clearml/backend_api/services/v2_23/projects.py | {
"start": 125693,
"end": 129515
} | class ____(Request):
"""
Get user and system tags used for the tasks under the specified projects
:param include_system: If set to 'true' then the list of the system tags is
also returned. The default value is 'false'
:type include_system: bool
:param projects: The list of projects under wh... | GetTaskTagsRequest |
python | encode__django-rest-framework | tests/test_filters.py | {
"start": 2415,
"end": 2544
} | class ____(models.Model):
title = models.CharField(max_length=20)
text = models.CharField(max_length=100)
| SearchFilterModel |
python | ApeWorX__ape | src/ape/plugins/config.py | {
"start": 146,
"end": 1075
} | class ____(PluginType):
"""
A registered config item. Plugins register config implementations
when they allow additional user-configuration, set in the ``ape-config.yaml``.
See the :class:`~ape.managers.config.ConfigManager` documentation for more
information on the ``ape-config.yaml``.
"""
... | Config |
python | altair-viz__altair | tools/datasets/models.py | {
"start": 1141,
"end": 1252
} | class ____(TypedDict, total=False):
title: str
path: Required[str]
email: str
version: str
| Source |
python | crytic__slither | slither/detectors/attributes/constant_pragma.py | {
"start": 431,
"end": 2179
} | class ____(AbstractDetector):
"""
Check that the same pragma is used in all the files
"""
ARGUMENT = "pragma"
HELP = "If different pragma directives are used"
IMPACT = DetectorClassification.INFORMATIONAL
CONFIDENCE = DetectorClassification.HIGH
WIKI = "https://github.com/crytic/slithe... | ConstantPragma |
python | django-extensions__django-extensions | django_extensions/management/commands/dumpscript.py | {
"start": 28992,
"end": 29125
} | class ____:
def __init__(self, string):
self.repr = string
def __repr__(self):
return self.repr
| StrToCodeChanger |
python | pytorch__pytorch | torch/_inductor/codegen/common.py | {
"start": 65643,
"end": 72535
} | class ____(Generic[CSEVariableType, AugmentedKeyT]):
"""Common subexpression elimination"""
def __init__(
self,
prefix: str = "",
suffix: str = "",
name_prefix: str = "tmp",
iter_buffers: Optional[itertools.count[int]] = None,
store_cache: Optional[MutableMapping... | CSE |
python | huggingface__transformers | src/transformers/models/zamba2/modeling_zamba2.py | {
"start": 25309,
"end": 47701
} | class ____(nn.Module):
"""
Compute ∆, A, B, C, and D the state space parameters and compute the `contextualized_states`.
A, D are input independent (see Mamba paper [1] Section 3.5.2 "Interpretation of A" for why A isn't selective)
∆, B, C are input-dependent (this is a key difference between Mamba and ... | Zamba2MambaMixer |
python | ansible__ansible | lib/ansible/utils/encrypt.py | {
"start": 2865,
"end": 3478
} | class ____(object):
algorithms = {
'md5_crypt': _Algo(crypt_id='1', salt_size=8),
'bcrypt': _Algo(crypt_id='2b', salt_size=22, implicit_rounds=12, salt_exact=True, implicit_ident='2b', rounds_format='cost'),
'sha256_crypt': _Algo(crypt_id='5', salt_size=16, implicit_rounds=535000, rounds_for... | BaseHash |
python | scipy__scipy | benchmarks/benchmarks/spatial.py | {
"start": 10497,
"end": 11021
} | class ____(Benchmark):
params = [10, 100, 1000, 5000, 10000]
param_names = ['num_points']
def setup(self, num_points):
self.points = generate_spherical_points(num_points)
self.sv = SphericalVoronoi(self.points, radius=1,
center=np.zeros(3))
def time_s... | SphericalVorSort |
python | PyCQA__pylint | tests/functional/ext/private_import/private_import.py | {
"start": 4483,
"end": 4721
} | class ____:
def save(self):
return self
# Treat relative imports as internal
from .other_file import _private
from ..parent import _private
from _private_module_x import some_name # [import-private-name]
VAR = some_name
| Example |
python | scipy__scipy | scipy/sparse/linalg/_dsolve/tests/test_linsolve.py | {
"start": 16639,
"end": 26645
} | class ____:
def setup_method(self):
use_solver(useUmfpack=False)
n = 40
d = arange(n) + 1
self.n = n
self.A = dia_array(((d, 2*d, d[::-1]), (-3, 0, 5)), shape=(n, n)).tocsc()
def _smoketest(self, spxlu, check, dtype, idx_dtype):
if np.issubdtype(dtype, np.complex... | TestSplu |
python | Lightning-AI__lightning | src/lightning/pytorch/accelerators/cpu.py | {
"start": 1061,
"end": 3313
} | class ____(Accelerator):
"""Accelerator for CPU devices."""
@override
def setup_device(self, device: torch.device) -> None:
"""
Raises:
MisconfigurationException:
If the selected device is not CPU.
"""
if device.type != "cpu":
raise Mi... | CPUAccelerator |
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