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 | PrefectHQ__prefect | src/integrations/prefect-github/prefect_github/schemas/graphql_schema.py | {
"start": 8991,
"end": 9198
} | class ____(sgqlc.types.Enum):
"""
See source code for more info.
"""
__schema__ = graphql_schema
__choices__ = ("FAILURE", "PENDING", "SUCCESS")
| EnterpriseServerUserAccountsUploadSyncState |
python | sqlalchemy__sqlalchemy | lib/sqlalchemy/testing/suite/test_select.py | {
"start": 64104,
"end": 65806
} | class ____(fixtures.TablesTest):
__backend__ = True
run_inserts = run_deletes = "once"
inserted_data = [{"a": i, "b": i + 1} for i in range(10)]
@classmethod
def define_tables(cls, metadata):
Table("bitwise", metadata, Column("a", Integer), Column("b", Integer))
@classmethod
def i... | BitwiseTest |
python | kubernetes-client__python | kubernetes/client/models/v1beta2_resource_claim.py | {
"start": 383,
"end": 7590
} | 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... | V1beta2ResourceClaim |
python | pytorch__pytorch | torchgen/api/autograd.py | {
"start": 1191,
"end": 2153
} | class ____:
# The formula string (legit C++ expression).
# Note that expressions against input arguments have been replaced with the
# corresponding saved attributes.
# E.g.:
# raw formula: `mul_tensor_backward(grad, self, other.scalar_type())`
# here: `mul_tensor_backward(grad, self, o... | Derivative |
python | microsoft__pyright | packages/pyright-internal/src/tests/samples/typedDict3.py | {
"start": 179,
"end": 1024
} | class ____(Movie, total=True):
based_on: str
movie1 = Movie(year=1982, name="Blade Runner")
# This should generate an error because
# the type is incorrect.
movie2 = Movie(name="Blade Runner", year="1982")
movie3 = Movie(name="Blade Runner")
# This should generate an error because
# the key name is not support... | BookBasedMovie |
python | jazzband__django-oauth-toolkit | tests/test_django_checks.py | {
"start": 213,
"end": 829
} | class ____(TestCase):
def test_checks_pass(self):
call_command("check")
# CrossDatabaseRouter claims AccessToken is in beta while everything else is in alpha.
# This will cause the database checks to fail.
@override_settings(
DATABASE_ROUTERS=["tests.db_router.CrossDatabaseRouter", "tes... | DjangoChecksTestCase |
python | pytorch__pytorch | test/onnx/test_onnxscript_no_runtime.py | {
"start": 306,
"end": 6410
} | class ____(common_utils.TestCase):
# opset version is
# 1. local function is supported after opset 15
# 2. onnx-script requires users to determine opset in local function
opset_version = 15
def test_onnxscript_registration_with_multiple_models(self):
from onnxscript.onnx_opset import opset1... | TestONNXScriptExport |
python | huggingface__transformers | tests/models/layoutlmv2/test_processing_layoutlmv2.py | {
"start": 1328,
"end": 5701
} | class ____(ProcessorTesterMixin, unittest.TestCase):
processor_class = LayoutLMv2Processor
@classmethod
def _setup_image_processor(cls):
image_processor_class = cls._get_component_class_from_processor("image_processor")
return image_processor_class(
do_resize=True,
s... | LayoutLMv2ProcessorTest |
python | getsentry__sentry | src/sentry/integrations/api/endpoints/external_team_details.py | {
"start": 1119,
"end": 3937
} | class ____(TeamEndpoint, ExternalActorEndpointMixin):
publish_status = {
"DELETE": ApiPublishStatus.PUBLIC,
"PUT": ApiPublishStatus.PUBLIC,
}
owner = ApiOwner.ENTERPRISE
def convert_args(
self,
request: Request,
organization_id_or_slug: int | str,
team_id... | ExternalTeamDetailsEndpoint |
python | django-import-export__django-import-export | tests/core/tests/test_resources/test_bulk_operations.py | {
"start": 17966,
"end": 22134
} | class ____(BulkTest):
class DeleteBookResource(resources.ModelResource):
def for_delete(self, row, instance):
return True
class Meta:
model = Book
use_bulk = True
# there are errors when diffing with mocks
# therefore disable diff with thi... | BulkDeleteTest |
python | doocs__leetcode | solution/2400-2499/2493.Divide Nodes Into the Maximum Number of Groups/Solution.py | {
"start": 0,
"end": 821
} | class ____:
def magnificentSets(self, n: int, edges: List[List[int]]) -> int:
g = [[] for _ in range(n)]
for a, b in edges:
g[a - 1].append(b - 1)
g[b - 1].append(a - 1)
d = defaultdict(int)
for i in range(n):
q = deque([i])
dist = [0] ... | Solution |
python | ray-project__ray | python/ray/train/tests/test_torch_predictor.py | {
"start": 417,
"end": 521
} | class ____(torch.nn.Module):
def forward(self, input):
return input * 2
| DummyModelSingleTensor |
python | getsentry__sentry | src/sentry/similarity/backends/redis.py | {
"start": 466,
"end": 7589
} | class ____(AbstractIndexBackend):
def __init__(
self, cluster, namespace, signature_builder, bands, interval, retention, candidate_set_limit
):
self.cluster = cluster
self.namespace = namespace
self.signature_builder = signature_builder
self.bands = bands
self.int... | RedisScriptMinHashIndexBackend |
python | google__jax | jax/experimental/jax2tf/tests/flax_models/bilstm_classifier.py | {
"start": 7045,
"end": 8530
} | class ____(nn.Module):
"""A simple Multilayer perceptron with 1 hidden layer.
Attributes:
hidden_size: The size of the hidden layer.
output_size: The size of the output.
activation: The activation function to apply to the hidden layer.
dropout_rate: The dropout rate applied to the hidden layer.
... | MLP |
python | euske__pdfminer | pdfminer/pdffont.py | {
"start": 2267,
"end": 2413
} | class ____:
@classmethod
def get_metrics(klass, fontname):
return FONT_METRICS[fontname]
## Type1FontHeaderParser
##
| FontMetricsDB |
python | ijl__orjson | test/test_enum.py | {
"start": 592,
"end": 773
} | class ____(enum.Enum):
A = "a"
B = 1
C = FloatEnum.ONE
D = {"d": IntEnum.ONE} # noqa: RUF012
E = Custom("c")
F = datetime.datetime(1970, 1, 1)
| UnspecifiedEnum |
python | doocs__leetcode | solution/2100-2199/2179.Count Good Triplets in an Array/Solution.py | {
"start": 449,
"end": 889
} | class ____:
def goodTriplets(self, nums1: List[int], nums2: List[int]) -> int:
pos = {v: i for i, v in enumerate(nums2, 1)}
ans = 0
n = len(nums1)
tree = BinaryIndexedTree(n)
for num in nums1:
p = pos[num]
left = tree.query(p)
right = n - p... | Solution |
python | fluentpython__example-code-2e | 06-obj-ref/bus.py | {
"start": 284,
"end": 609
} | class ____:
def __init__(self, passengers=None):
if passengers is None:
self.passengers = []
else:
self.passengers = list(passengers)
def pick(self, name):
self.passengers.append(name)
def drop(self, name):
self.passengers.remove(name)
# end::BUS_CL... | Bus |
python | wandb__wandb | wandb/automations/_generated/fragments.py | {
"start": 1713,
"end": 1879
} | class ____(GQLResult):
typename__: Typename[Literal["NoOpTriggeredAction"]] = "NoOpTriggeredAction"
no_op: Optional[bool] = Field(alias="noOp")
| NoOpActionFields |
python | getsentry__sentry | tests/sentry/api/test_paginator.py | {
"start": 34659,
"end": 36469
} | class ____(APITestCase, SnubaTestCase):
cls = CallbackPaginator
def setUp(self) -> None:
super().setUp()
self.now = timezone.now()
self.project.date_added = self.now - timedelta(minutes=5)
for i in range(8):
self.store_event(
project_id=self.project.i... | CallbackPaginatorTest |
python | facebook__pyre-check | client/language_server/protocol.py | {
"start": 10353,
"end": 10491
} | class ____(json_mixins.CamlCaseAndExcludeJsonMixin):
include_text: Optional[bool] = None
@dataclasses.dataclass(frozen=True)
| SaveOptions |
python | mkdocs__mkdocs | mkdocs/tests/config/config_options_tests.py | {
"start": 66938,
"end": 66998
} | class ____(BasePlugin[_FakePluginConfig]):
pass
| FakePlugin |
python | allegroai__clearml | clearml/backend_api/services/v2_13/models.py | {
"start": 97657,
"end": 98792
} | class ____(Response):
"""
Response of models.make_public endpoint.
:param updated: Number of models updated
:type updated: int
"""
_service = "models"
_action = "make_public"
_version = "2.13"
_schema = {
"definitions": {},
"properties": {
"updated": {
... | MakePublicResponse |
python | pypa__warehouse | tests/unit/manage/test_views.py | {
"start": 187256,
"end": 210727
} | class ____:
@pytest.fixture
def organization(self, _enable_organizations, pyramid_user):
organization = OrganizationFactory.create()
OrganizationRoleFactory.create(
organization=organization,
user=pyramid_user,
role_name=OrganizationRoleType.Owner,
)
... | TestManageProjectRoles |
python | tensorflow__tensorflow | tensorflow/python/data/experimental/kernel_tests/optimization/filter_parallelization_test.py | {
"start": 9418,
"end": 12004
} | class ____(checkpoint_test_base.CheckpointTestBase,
parameterized.TestCase):
def enableFilterParallelization(self, dataset):
options = options_lib.Options()
options.experimental_optimization.filter_parallelization = True
return dataset.with_options(options)
def _build_filter... | FilterCheckpointTest |
python | huggingface__transformers | src/transformers/models/lxmert/modeling_lxmert.py | {
"start": 27747,
"end": 28247
} | class ____(nn.Module):
def __init__(self, config):
super().__init__()
self.transform = LxmertPredictionHeadTransform(config)
self.decoder = nn.Linear(config.hidden_size, config.vocab_size, bias=False)
self.bias = nn.Parameter(torch.zeros(config.vocab_size))
def forward(self, hid... | LxmertLMPredictionHead |
python | ray-project__ray | python/ray/tune/progress_reporter.py | {
"start": 23918,
"end": 47467
} | class ____(TuneReporterBase):
"""Command-line reporter
Args:
metric_columns: Names of metrics to
include in progress table. If this is a dict, the keys should
be metric names and the values should be the displayed names.
If this is a list, the metric name is used dir... | CLIReporter |
python | pytorch__pytorch | benchmarks/functional_autograd_benchmark/torchaudio_models.py | {
"start": 8593,
"end": 12789
} | class ____(nn.Module):
def __init__(
self,
rnn_type,
labels,
rnn_hidden_size,
nb_layers,
audio_conf,
bidirectional,
context=20,
):
super().__init__()
self.hidden_size = rnn_hidden_size
self.hidden_layers = nb_layers
... | DeepSpeech |
python | apache__airflow | helm-tests/tests/helm_tests/airflow_aux/test_create_user_job.py | {
"start": 914,
"end": 17339
} | class ____:
"""Tests create user job."""
def test_should_run_by_default(self):
docs = render_chart(show_only=["templates/jobs/create-user-job.yaml"])
assert docs[0]["kind"] == "Job"
assert jmespath.search("spec.template.spec.containers[0].name", docs[0]) == "create-user"
assert ... | TestCreateUserJob |
python | huggingface__transformers | src/transformers/utils/import_utils.py | {
"start": 59020,
"end": 59608
} | class ____(type):
"""
Metaclass for the dummy objects. Any class inheriting from it will return the ImportError generated by
`requires_backend` each time a user tries to access any method of that class.
"""
is_dummy = True
def __getattribute__(cls, key):
if (key.startswith("_") and key... | DummyObject |
python | streamlit__streamlit | lib/tests/streamlit/runtime/caching/cache_resource_api_test.py | {
"start": 7899,
"end": 9969
} | class ____(unittest.TestCase):
def setUp(self) -> None:
# Caching functions rely on an active script run ctx
add_script_run_ctx(threading.current_thread(), create_mock_script_run_ctx())
def tearDown(self):
st.cache_resource.clear()
# Some of these tests reach directly into _cach... | CacheResourceValidateTest |
python | modin-project__modin | modin/core/execution/ray/common/deferred_execution.py | {
"start": 19659,
"end": 28258
} | class ____:
"""Remote functions for DeferredExecution."""
@staticmethod
def exec_func(fn: Callable, obj: Any, args: Tuple, kwargs: Dict) -> Any:
"""
Execute the specified function.
Parameters
----------
fn : Callable
obj : Any
args : Tuple
kw... | _RemoteExecutor |
python | charliermarsh__ruff | crates/ruff_linter/resources/test/fixtures/flake8_pyi/PYI013.py | {
"start": 101,
"end": 143
} | class ____:
...
...
| TwoEllipsesClass |
python | redis__redis-py | redis/commands/search/reducers.py | {
"start": 2592,
"end": 3775
} | class ____(Reducer):
"""
Selects the first value within the group according to sorting parameters
"""
NAME = "FIRST_VALUE"
def __init__(self, field: str, *byfields: Union[Asc, Desc]) -> None:
"""
Selects the first value of the given field within the group.
### Parameter
... | first_value |
python | django__django | tests/indexes/models.py | {
"start": 1282,
"end": 1563
} | class ____(models.Model):
headline = models.CharField(max_length=100, db_index=True)
body = models.TextField(db_index=True)
slug = models.CharField(max_length=40, unique=True)
class Meta:
required_db_features = {"supports_index_on_text_field"}
| IndexedArticle |
python | GoogleCloudPlatform__python-docs-samples | appengine/standard/endpoints-frameworks-v2/iata/main.py | {
"start": 1023,
"end": 1272
} | class ____(messages.Message):
iata = messages.StringField(1, required=True)
name = messages.StringField(2, required=True)
IATA_AIRPORT_RESOURCE = endpoints.ResourceContainer(
Airport, iata=messages.StringField(1, required=True)
)
| Airport |
python | milvus-io__pymilvus | pymilvus/client/search_result.py | {
"start": 22418,
"end": 25757
} | class ____(list):
"""List[Dict] Topk search result with pks, distances, and output fields.
[
{"id": 1, "distance": 0.3, "entity": {"vector": [1, 2, 3]}},
{"id": 2, "distance": 0.2, "entity": {"vector": [4, 5, 6]}},
{"id": 3, "distance": 0.1, "entity": {"vector": [7, 8, 9... | Hits |
python | simonw__datasette | datasette/views/special.py | {
"start": 12329,
"end": 18302
} | class ____(BaseView):
name = "permission_rules"
has_json_alternate = False
async def get(self, request):
await self.ds.ensure_permission(action="view-instance", actor=request.actor)
await self.ds.ensure_permission(action="permissions-debug", actor=request.actor)
# Check if this is ... | PermissionRulesView |
python | sphinx-doc__sphinx | sphinx/roles.py | {
"start": 1176,
"end": 6340
} | class ____(ReferenceRole):
"""A generic cross-referencing role. To create a callable that can be used as
a role function, create an instance of this class.
The general features of this role are:
* Automatic creation of a reference and a content node.
* Optional separation of title and target with... | XRefRole |
python | astropy__astropy | astropy/utils/masked/tests/test_functions.py | {
"start": 19218,
"end": 20174
} | class ____(MaskedArraySetup):
@pytest.mark.parametrize("n,axis", [(1, -1), (2, -1), (1, 0)])
def test_diff(self, n, axis):
mda = np.diff(self.ma, n=n, axis=axis)
expected_data = np.diff(self.a, n, axis)
nan_mask = np.zeros_like(self.a)
nan_mask[self.ma.mask] = np.nan
expe... | TestMaskedArrayCalculation |
python | huggingface__transformers | src/transformers/models/funnel/modeling_funnel.py | {
"start": 49573,
"end": 52499
} | class ____(FunnelPreTrainedModel):
def __init__(self, config: FunnelConfig) -> None:
super().__init__(config)
self.funnel = FunnelBaseModel(config)
self.classifier = FunnelClassificationHead(config, 1)
# Initialize weights and apply final processing
self.post_init()
@au... | FunnelForMultipleChoice |
python | huggingface__transformers | src/transformers/models/olmo2/modular_olmo2.py | {
"start": 9233,
"end": 9609
} | class ____(OlmoRotaryEmbedding):
pass
def rotate_half(x):
"""Rotates half the hidden dims of the input."""
x1 = x[..., : x.shape[-1] // 2]
x2 = x[..., x.shape[-1] // 2 :]
return torch.cat((-x2, x1), dim=-1)
# Olmo2 attention is identical to OLMo attention except:
# - Norm is applied to attention... | Olmo2RotaryEmbedding |
python | tensorflow__tensorflow | tensorflow/python/compiler/tensorrt/test/conv2d_test.py | {
"start": 4663,
"end": 5935
} | class ____(trt_test.TfTrtIntegrationTestBase):
"""Testing conversion of strided Conv2D (data_format=NCHW)."""
def GraphFn(self, inp):
np.random.seed(1234)
num_filters = 5
output = inp
output = conv2d_layer(
output,
num_filters, (3, 2),
strides=(2, 2),
padding="same",... | Conv2DStridedNCHWTest |
python | tensorflow__tensorflow | tensorflow/python/ops/image_ops_test.py | {
"start": 184540,
"end": 188778
} | class ____(test_util.TensorFlowTestCase):
def testExisting(self):
# Read some real PNGs, converting to different channel numbers
prefix = "tensorflow/core/lib/png/testdata/"
inputs = ((1, "lena_gray.png"), (4, "lena_rgba.png"),
(3, "lena_palette.png"), (4, "lena_palette_trns.png"))
for ... | PngTest |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-github/source_github/github_schema.py | {
"start": 1122219,
"end": 1122596
} | class ____(sgqlc.types.Type, Contribution):
"""Represents the contribution a user made on GitHub by creating a
repository.
"""
__schema__ = github_schema
__field_names__ = ("repository",)
repository = sgqlc.types.Field(sgqlc.types.non_null("Repository"), graphql_name="repository")
"""The re... | CreatedRepositoryContribution |
python | apache__airflow | providers/openlineage/tests/unit/openlineage/extractors/test_base.py | {
"start": 2167,
"end": 2386
} | class ____(JobFacet):
failed: bool = field(default=False)
FINISHED_FACETS: dict[str, JobFacet] = {"complete": CompleteRunFacet(True)}
FAILED_FACETS: dict[str, JobFacet] = {"failure": FailRunFacet(True)}
| FailRunFacet |
python | dagster-io__dagster | python_modules/dagster/dagster/components/core/defs_module.py | {
"start": 7429,
"end": 14061
} | class ____(Component):
"""A component that represents a directory containing multiple Dagster definition modules.
DefsFolderComponent serves as a container for organizing and managing multiple subcomponents
within a folder structure. It automatically discovers and loads components from subdirectories
a... | DefsFolderComponent |
python | apache__airflow | providers/fab/src/airflow/providers/fab/auth_manager/models/anonymous_user.py | {
"start": 971,
"end": 1947
} | class ____(AnonymousUserMixin, BaseUser):
"""User object used when no active user is logged in."""
_roles: set[tuple[str, str]] = set()
_perms: set[tuple[str, str]] = set()
first_name = "Anonymous"
last_name = ""
@property
def roles(self):
if not self._roles:
public_ro... | AnonymousUser |
python | django__django | tests/transactions/models.py | {
"start": 286,
"end": 602
} | class ____(models.Model):
first_name = models.CharField(max_length=30)
last_name = models.CharField(max_length=30)
email = models.EmailField()
class Meta:
ordering = ("first_name", "last_name")
def __str__(self):
return ("%s %s" % (self.first_name, self.last_name)).strip()
| Reporter |
python | openai__openai-python | src/openai/types/static_file_chunking_strategy_object_param.py | {
"start": 319,
"end": 508
} | class ____(TypedDict, total=False):
static: Required[StaticFileChunkingStrategyParam]
type: Required[Literal["static"]]
"""Always `static`."""
| StaticFileChunkingStrategyObjectParam |
python | facebookresearch__faiss | tests/test_io.py | {
"start": 1399,
"end": 6372
} | class ____(unittest.TestCase):
def do_write_callback(self, bsz):
d, n = 32, 1000
x = np.random.uniform(size=(n, d)).astype('float32')
index = faiss.IndexFlatL2(d)
index.add(x)
f = io.BytesIO()
# test with small block size
writer = faiss.PyCallbackIOWriter(f.... | TestCallbacks |
python | getsentry__sentry | tests/sentry/preprod/api/endpoints/pull_request/test_organization_pullrequest_details.py | {
"start": 431,
"end": 10360
} | class ____(TestCase):
def setUp(self):
super().setUp()
self.factory = APIRequestFactory()
self.integration = self.create_integration(
organization=self.organization,
provider="github",
name="Test GitHub Integration",
external_id="12345",
... | OrganizationPullRequestDetailsEndpointTest |
python | django__django | tests/model_inheritance_regress/models.py | {
"start": 1821,
"end": 1897
} | class ____(SelfRefParent):
child_data = models.IntegerField()
| SelfRefChild |
python | numba__numba | numba/core/types/containers.py | {
"start": 13055,
"end": 14474
} | class ____(Literal, ConstSized, Hashable):
"""A heterogeneous immutable list (basically a tuple with list semantics).
"""
mutable = False
def __init__(self, literal_value):
self.is_types_iterable(literal_value)
self._literal_init(list(literal_value))
self.types = tuple(literal_... | LiteralList |
python | FactoryBoy__factory_boy | tests/test_transformer.py | {
"start": 5650,
"end": 6012
} | class ____(factory.Factory):
class Meta:
model = TestObject
class Params:
upper_two = factory.Trait(
two=factory.Transformer("two", transform=str.upper)
)
odds = factory.Trait(
one="one",
three="three",
)
one = factory.Transformer(... | WithTraitFactory |
python | jazzband__django-pipeline | tests/tests/test_forms.py | {
"start": 1169,
"end": 6785
} | class ____(TestCase):
"""Unit tests for pipeline.forms.PipelineFormMedia."""
@pipeline_settings(PIPELINE_ENABLED=True)
def test_css_packages_with_pipeline_enabled(self):
"""Testing PipelineFormMedia.css_packages with PIPELINE_ENABLED=True"""
class MyMedia(PipelineFormMedia):
cs... | PipelineFormMediaTests |
python | doocs__leetcode | solution/0700-0799/0701.Insert into a Binary Search Tree/Solution.py | {
"start": 192,
"end": 534
} | class ____:
def insertIntoBST(self, root: Optional[TreeNode], val: int) -> Optional[TreeNode]:
if root is None:
return TreeNode(val)
if root.val > val:
root.left = self.insertIntoBST(root.left, val)
else:
root.right = self.insertIntoBST(root.right, val)
... | Solution |
python | PrefectHQ__prefect | src/prefect/client/schemas/objects.py | {
"start": 16484,
"end": 22415
} | class ____(TimeSeriesBaseModel, ObjectBaseModel):
name: str = Field(
default_factory=lambda: generate_slug(2),
description=(
"The name of the flow run. Defaults to a random slug if not specified."
),
examples=["my-flow-run"],
)
flow_id: UUID = Field(default=..., d... | FlowRun |
python | astropy__astropy | astropy/modeling/functional_models.py | {
"start": 50067,
"end": 53832
} | class ____(Fittable2DModel):
"""
Two-dimensional Lorentzian model.
Parameters
----------
amplitude : float or `~astropy.units.Quantity`.
Peak value.
x_0 : float or `~astropy.units.Quantity`.
Position of the peak in x.
y_0 : float or `~astropy.units.Quantity`.
Positio... | Lorentz2D |
python | ray-project__ray | rllib/env/vector/vector_multi_agent_env.py | {
"start": 264,
"end": 2910
} | class ____:
metadata: Dict[str, Any] = {}
spec: Optional[EnvSpec] = None
render_mode: Optional[str] = None
closed: bool = False
envs: Optional[List] = None
# TODO (simon, sven): We could think about enabling here different
# spaces for different envs (e.g. different high/lows). In this
... | VectorMultiAgentEnv |
python | getsentry__sentry | src/sentry/migrations/0001_squashed_0904_onboarding_task_project_id_idx.py | {
"start": 2032,
"end": 383721
} | class ____(CheckedMigration):
# This flag is used to mark that a migration shouldn't be automatically run in production.
# This should only be used for operations where it's safe to run the migration after your
# code has deployed. So this should not be used for most operations that alter the schema
# o... | Migration |
python | langchain-ai__langchain | libs/langchain_v1/langchain/agents/middleware/shell_tool.py | {
"start": 10488,
"end": 11353
} | class ____(BaseModel):
"""Input schema for the persistent shell tool."""
command: str | None = None
"""The shell command to execute."""
restart: bool | None = None
"""Whether to restart the shell session."""
runtime: Annotated[Any, SkipJsonSchema()] = None
"""The runtime for the shell too... | _ShellToolInput |
python | kamyu104__LeetCode-Solutions | Python/minimum-area-rectangle.py | {
"start": 90,
"end": 992
} | class ____(object):
def minAreaRect(self, points):
"""
:type points: List[List[int]]
:rtype: int
"""
nx = len(set(x for x, y in points))
ny = len(set(y for x, y in points))
p = collections.defaultdict(list)
if nx > ny:
for x, y in points:
... | Solution |
python | facebook__pyre-check | client/language_server/tests/connections_test.py | {
"start": 432,
"end": 736
} | class ____(socketserver.StreamRequestHandler):
def handle(self) -> None:
try:
while True:
data = self.rfile.readline()
self.wfile.write(data)
self.wfile.flush()
except BrokenPipeError:
pass
| EchoServerRequestHandler |
python | huggingface__transformers | src/transformers/models/bridgetower/modeling_bridgetower.py | {
"start": 64569,
"end": 65249
} | class ____(nn.Module):
def __init__(self, config):
super().__init__()
self.dense = nn.Linear(config.hidden_size, config.hidden_size)
if isinstance(config.hidden_act, str):
self.transform_act_fn = ACT2FN[config.hidden_act]
else:
self.transform_act_fn = config.h... | BridgeTowerPredictionHeadTransform |
python | tensorflow__tensorflow | tensorflow/compiler/tests/cast_ops_test.py | {
"start": 1226,
"end": 2112
} | class ____(xla_test.XLATestCase):
def testBitcastToLarger(self):
with ops.device('device:{}:0'.format(self.device)):
def f(x):
t = array_ops.bitcast(x, dtypes.float32)
return math_ops.reduce_sum(t, axis=1)
compiled_f = def_function.function(f, jit_compile=True)
x = random_ops... | CastOpsTest |
python | apache__airflow | providers/google/tests/unit/google/firebase/hooks/test_firestore.py | {
"start": 1683,
"end": 5654
} | class ____:
hook: CloudFirestoreHook | None = None
def setup_method(self):
with mock.patch(
"airflow.providers.google.common.hooks.base_google.GoogleBaseHook.__init__",
new=mock_base_gcp_hook_default_project_id,
):
self.hook = CloudFirestoreHook(gcp_conn_id="... | TestCloudFirestoreHookWithPassedProjectId |
python | tensorflow__tensorflow | tensorflow/python/keras/optimizer_v1.py | {
"start": 26784,
"end": 29827
} | class ____(Optimizer, trackable.Trackable):
"""Wrapper class for native TensorFlow optimizers."""
def __init__(self, optimizer, iterations=None): # pylint: disable=super-init-not-called
self.optimizer = optimizer
self._track_trackable(optimizer, name='optimizer')
if iterations is None:
with back... | TFOptimizer |
python | walkccc__LeetCode | solutions/2291. Maximum Profit From Trading Stocks/2291.py | {
"start": 0,
"end": 574
} | class ____:
def maximumProfit(
self,
present: list[int],
future: list[int],
budget: int,
) -> int:
n = len(present)
# dp[i][j] := the maximum profit of buying present[0..i) with j budget
dp = [[0] * (budget + 1) for _ in range(n + 1)]
for i in range(1, n + 1):
profit =... | Solution |
python | numba__llvmlite | llvmlite/ir/instructions.py | {
"start": 14274,
"end": 14715
} | class ____(Instruction):
def __init__(self, parent, op, val, typ, name=''):
super(CastInstr, self).__init__(parent, typ, op, [val], name=name)
def descr(self, buf):
buf.append("{0} {1} {2} to {3} {4}\n".format(
self.opname,
self.operands[0].type,
self.operand... | CastInstr |
python | django-import-export__django-import-export | import_export/widgets.py | {
"start": 7818,
"end": 10079
} | class ____(Widget):
"""
Widget for converting boolean fields.
The widget assumes that ``True``, ``False``, and ``None`` are all valid
values, as to match Django's `BooleanField
<https://docs.djangoproject.com/en/dev/ref/models/fields/#booleanfield>`_.
That said, whether the database/Django will... | BooleanWidget |
python | spack__spack | lib/spack/spack/subprocess_context.py | {
"start": 3306,
"end": 3998
} | class ____:
"""Class to serialize and restore global state for child processes.
Spack may modify state that is normally read from disk or command line in memory;
this object is responsible for properly serializing that state to be applied to a subprocess.
"""
def __init__(self):
self.confi... | GlobalStateMarshaler |
python | coleifer__peewee | tests/signals.py | {
"start": 169,
"end": 226
} | class ____(BaseSignalModel):
a = TextField(default='')
| A |
python | PrefectHQ__prefect | tests/_internal/compatibility/test_async_dispatch.py | {
"start": 8685,
"end": 10406
} | class ____:
"""Test that async_dispatch adds the .aio attribute for compatibility."""
def test_async_dispatch_adds_aio_attribute(self):
"""Test that the decorator adds an .aio attribute pointing to async implementation."""
async def async_impl(x: int) -> str:
return f"async {x}"
... | TestAioAttribute |
python | django__django | django/forms/fields.py | {
"start": 18219,
"end": 19459
} | class ____(BaseTemporalField):
widget = DateTimeInput
input_formats = DateTimeFormatsIterator()
default_error_messages = {
"invalid": _("Enter a valid date/time."),
}
def prepare_value(self, value):
if isinstance(value, datetime.datetime):
value = to_current_timezone(val... | DateTimeField |
python | spyder-ide__spyder | external-deps/spyder-remote-services/spyder_remote_services/services/files/handlers.py | {
"start": 1629,
"end": 4979
} | class ____(FilesRESTMixin, JupyterHandler):
auth_resource = "spyder-services"
def get_path_argument(self, name: str) -> str:
"""Get the path argument from the request.
Args
----
name (str): Name of the argument to get.
Returns
-------
str: The p... | BaseFSHandler |
python | bokeh__bokeh | src/bokeh/embed/util.py | {
"start": 7585,
"end": 8353
} | class ____:
""" Encapsulate data needed for embedding a Bokeh document root.
Values for ``name`` or ``tags`` are optional. They may be useful for
querying a collection of roots to find a specific one to embed.
"""
#: A unique ID to use for the DOM element
elementid: ID
#: The Bokeh model... | RenderRoot |
python | davidhalter__jedi | jedi/plugins/django.py | {
"start": 9972,
"end": 10289
} | class ____(BaseTreeParamName):
def __init__(self, field_name):
super().__init__(field_name.parent_context, field_name.tree_name)
self._field_name = field_name
def get_kind(self):
return Parameter.KEYWORD_ONLY
def infer(self):
return self._field_name.infer()
| DjangoParamName |
python | doocs__leetcode | solution/2500-2599/2516.Take K of Each Character From Left and Right/Solution.py | {
"start": 0,
"end": 383
} | class ____:
def takeCharacters(self, s: str, k: int) -> int:
cnt = Counter(s)
if any(cnt[c] < k for c in "abc"):
return -1
mx = j = 0
for i, c in enumerate(s):
cnt[c] -= 1
while cnt[c] < k:
cnt[s[j]] += 1
j += 1
... | Solution |
python | gevent__gevent | benchmarks/bench_spawn.py | {
"start": 611,
"end": 5929
} | class ____(object):
def __init__(self,
spawn_duration,
sleep_duration=-1,
join_duration=-1):
self.spawn_duration = spawn_duration
self.sleep_duration = sleep_duration
self.join_duration = join_duration
def _test(spawn, sleep, options):
... | Times |
python | numpy__numpy | tools/c_coverage/c_coverage_report.py | {
"start": 599,
"end": 1393
} | class ____(HtmlFormatter):
"""Custom HTML formatter to insert extra information with the lines."""
def __init__(self, lines, **kwargs):
HtmlFormatter.__init__(self, **kwargs)
self.lines = lines
def wrap(self, source, outfile):
for i, (c, t) in enumerate(HtmlFormatter.wrap(self, sour... | FunctionHtmlFormatter |
python | spack__spack | lib/spack/spack/test/config.py | {
"start": 11188,
"end": 64372
} | class ____:
def __init__(self, path):
self.path = path
def test_substitute_config_variables(mock_low_high_config, monkeypatch):
prefix = spack.paths.prefix.lstrip("/")
assert cross_plat_join(
os.sep + os.path.join("foo", "bar", "baz"), prefix
) == spack_path.canonicalize_path("/foo/bar... | MockEnv |
python | TheAlgorithms__Python | data_structures/queues/linked_queue.py | {
"start": 148,
"end": 334
} | class ____:
def __init__(self, data: Any) -> None:
self.data: Any = data
self.next: Node | None = None
def __str__(self) -> str:
return f"{self.data}"
| Node |
python | PrefectHQ__prefect | src/integrations/prefect-ray/prefect_ray/task_runners.py | {
"start": 2449,
"end": 4323
} | class ____(PrefectWrappedFuture[R, "ray.ObjectRef"]):
def wait(self, timeout: float | None = None) -> None:
try:
result = ray.get(self.wrapped_future, timeout=timeout)
except ray.exceptions.GetTimeoutError:
return
except Exception as exc:
result = run_coro... | PrefectRayFuture |
python | sphinx-doc__sphinx | tests/roots/test-ext-autodoc/target/overload.py | {
"start": 352,
"end": 667
} | class ____:
"""docstring"""
@overload
def sum(self, x: int, y: int = 0) -> int: ...
@overload
def sum(self, x: float, y: float = 0.0) -> float: ...
@overload
def sum(self, x: str, y: str = ...) -> str: ...
def sum(self, x, y=None):
"""docstring"""
return x + y
| Math |
python | mlflow__mlflow | mlflow/genai/git_versioning/__init__.py | {
"start": 400,
"end": 5360
} | class ____:
def __init__(self, remote_name: str = "origin") -> None:
try:
self.info = GitInfo.from_env(remote_name=remote_name)
except GitOperationError as e:
_logger.warning(
f"Encountered an error while retrieving git information: {e}. "
f"Gi... | GitContext |
python | microsoft__pyright | packages/pyright-internal/src/tests/samples/autoVariance5.py | {
"start": 522,
"end": 611
} | class ____(Generic[T]):
@deco
def select_all(self, *args: object) -> list[Any]: ...
| A |
python | mlflow__mlflow | tests/projects/test_projects.py | {
"start": 16325,
"end": 19290
} | class ____:
def __init__(self, prefix):
self.prefix = prefix
def __eq__(self, other):
return isinstance(other, str) and other.startswith(self.prefix)
def test_parse_kubernetes_config_without_context(mock_kubernetes_job_template):
with mock.patch("mlflow.projects._logger.debug") as mock_de... | StartsWithMatcher |
python | ray-project__ray | rllib/examples/_old_api_stack/models/parametric_actions_model.py | {
"start": 532,
"end": 2516
} | class ____(DistributionalQTFModel):
"""Parametric action model that handles the dot product and masking.
This assumes the outputs are logits for a single Categorical action dist.
Getting this to work with a more complex output (e.g., if the action space
is a tuple of several distributions) is also poss... | ParametricActionsModel |
python | modin-project__modin | asv_bench/benchmarks/benchmarks.py | {
"start": 8958,
"end": 9593
} | class ____:
param_names = ["shapes", "how", "axis", "ignore_index"]
params = [
get_benchmark_shapes("TimeConcat"),
["inner", "outer"],
[0, 1],
[True, False],
]
def setup(self, shapes, how, axis, ignore_index):
self.df1 = generate_dataframe("int", *shapes[0], RAND... | TimeConcat |
python | dagster-io__dagster | python_modules/dagster/dagster_tests/core_tests/test_user_code_boundary.py | {
"start": 23,
"end": 1451
} | class ____(Exception):
def __init__(self):
super().__init__("The user has errored")
def test_user_error_boundary_op_compute():
@dg.op
def throws_user_error(_):
raise UserError()
@dg.job
def job_def():
throws_user_error()
result = job_def.execute_in_process(raise_on_er... | UserError |
python | tensorflow__tensorflow | tensorflow/python/ops/tensor_array_ops.py | {
"start": 15973,
"end": 25904
} | class ____:
"""Graph-mode implementation of TensorArray backed by TensorLists.
The backing tensor of this TensorArray is a TensorList variant tensor which is
stored in the `flow`. The `handle` is always none here. The reason we use the
`flow` field and not the `handle` field is to ensure backwards compatibilit... | _GraphTensorArrayV2 |
python | pypa__hatch | src/hatch/python/resolve.py | {
"start": 1153,
"end": 2960
} | class ____(ABC):
def __init__(self, name: str, source: str) -> None:
self.__name = name
self.__source = source
@property
def name(self) -> str:
return self.__name
@cached_property
def source(self) -> str:
return self.__source if (custom_source := get_custom_source(s... | Distribution |
python | numpy__numpy | tools/swig/test/testSuperTensor.py | {
"start": 13622,
"end": 13937
} | class ____(SuperTensorTestCase):
def __init__(self, methodName="runTest"):
SuperTensorTestCase.__init__(self, methodName)
self.typeStr = "uint"
self.typeCode = "I"
#self.result = int(self.result)
######################################################################
| uintTestCase |
python | cython__cython | tests/run/ext_auto_richcmp.py | {
"start": 2636,
"end": 4301
} | class ____(ClassEqNe):
"""
>>> a = ClassEqNeGe(1)
>>> b = ClassEqNeGe(2)
>>> c = ClassEqNeGe(1)
>>> a == a
True
>>> a != a
False
>>> a >= a
True
>>> a <= a
True
>>> a == b
False
>>> a != b
True
>>> a >= b
False
>>> b <= a
False
>>> a ... | ClassEqNeGe |
python | huggingface__transformers | src/transformers/models/fastspeech2_conformer/modeling_fastspeech2_conformer.py | {
"start": 13300,
"end": 14049
} | class ____(nn.Module):
def __init__(
self,
in_channels=1,
out_channels=384,
kernel_size=1,
padding=0,
dropout_rate=0.0,
):
super().__init__()
self.conv = nn.Conv1d(
in_channels=in_channels,
out_channels=out_channels,
... | FastSpeech2ConformerVarianceEmbedding |
python | django__django | tests/test_utils/test_testcase.py | {
"start": 3327,
"end": 5796
} | class ____(TestCase):
# setUpTestData re-assignment are also wrapped in TestData.
jim_douglas = None
@classmethod
def setUpTestData(cls):
cls.jim_douglas = Person.objects.create(name="Jim Douglas")
cls.car = Car.objects.create(name="1963 Volkswagen Beetle")
cls.herbie = cls.jim_... | TestDataTests |
python | virgili0__Virgilio | Tools/regex-bin/regexPrinter.py | {
"start": 3161,
"end": 4450
} | class ____(TreeNode):
def __init__(self, token, value):
TreeNode.__init__(self, token, value, None)
def get_printer(self, values):
if self.token == Token.QUESTION:
temp = [""] + [v for v in values]
ss = sorted(temp)
elif self.token in (Token.TIMES, Token.PLUS):
... | QuantifierNode |
python | walkccc__LeetCode | solutions/2608. Shortest Cycle in a Graph/2608.py | {
"start": 0,
"end": 806
} | class ____:
def findShortestCycle(self, n: int, edges: list[list[int]]) -> int:
INF = 1001
ans = INF
graph = [[] for _ in range(n)]
for u, v in edges:
graph[u].append(v)
graph[v].append(u)
def bfs(i: int) -> int:
"""Returns the length of the minimum cycle by starting BFS from n... | Solution |
python | openai__openai-python | src/openai/types/conversations/conversation.py | {
"start": 189,
"end": 886
} | class ____(BaseModel):
id: str
"""The unique ID of the conversation."""
created_at: int
"""
The time at which the conversation was created, measured in seconds since the
Unix epoch.
"""
metadata: object
"""Set of 16 key-value pairs that can be attached to an object.
This can b... | Conversation |
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