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 | python-attrs__attrs | tests/test_next_gen.py | {
"start": 10302,
"end": 10595
} | class ____:
def test_smoke(self):
"""
`attrs.asdict` only changes defaults, so we just call it and compare.
"""
inst = C("foo", {(1,): 42})
assert attrs.asdict(inst) == _attr.asdict(
inst, retain_collection_types=True
)
| TestAsDict |
python | kubernetes-client__python | kubernetes/client/models/v1_preferred_scheduling_term.py | {
"start": 383,
"end": 4742
} | 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... | V1PreferredSchedulingTerm |
python | pytorch__pytorch | test/dynamo/cpython/3_13/test_set.py | {
"start": 69626,
"end": 69760
} | class ____(_TestBinaryOpsMutating, __TestCase):
constructor1 = SetSubclass
constructor2 = set
| TestBinaryOpsMutating_Subclass_Set |
python | ray-project__ray | doc/source/serve/doc_code/intel_gaudi_inference_serve.py | {
"start": 361,
"end": 4425
} | class ____:
def __init__(self, model_id_or_path: str):
from transformers import AutoTokenizer, AutoModelForCausalLM, AutoConfig
from optimum.habana.transformers.modeling_utils import (
adapt_transformers_to_gaudi,
)
# Tweak transformers to optimize performance
ad... | LlamaModel |
python | pyqtgraph__pyqtgraph | pyqtgraph/opengl/items/GLImageItem.py | {
"start": 324,
"end": 6623
} | class ____(GLGraphicsItem):
"""
**Bases:** :class:`GLGraphicsItem <pyqtgraph.opengl.GLGraphicsItem.GLGraphicsItem>`
Displays image data as a textured quad.
"""
_shaderProgram = None
def __init__(self, data, smooth=False, glOptions='translucent', parentItem=None):
"""
... | GLImageItem |
python | django__django | tests/mail/test_deprecated.py | {
"start": 2574,
"end": 4008
} | class ____(SimpleTestCase):
"""
These undocumented features were removed without going through deprecation.
In case they were being used, they now raise errors.
"""
def test_undocumented_mixed_subtype(self):
"""
Trying to use the previously undocumented, now unsupported
Emai... | UndocumentedFeatureErrorTests |
python | numpy__numpy | numpy/ctypeslib/_ctypeslib.py | {
"start": 5323,
"end": 6180
} | class ____(_ndptr_base):
@classmethod
def from_param(cls, obj):
if not isinstance(obj, np.ndarray):
raise TypeError("argument must be an ndarray")
if cls._dtype_ is not None \
and obj.dtype != cls._dtype_:
raise TypeError(f"array must have data type {cls._d... | _ndptr |
python | jmcnamara__XlsxWriter | xlsxwriter/test/comparison/test_hyperlink39.py | {
"start": 315,
"end": 906
} | class ____(ExcelComparisonTest):
"""
Test file created by XlsxWriter against a file created by Excel.
"""
def setUp(self):
self.set_filename("hyperlink39.xlsx")
def test_create_file(self):
"""Test the creation of a simple XlsxWriter file with image(s)."""
workbook = Workb... | TestCompareXLSXFiles |
python | sqlalchemy__sqlalchemy | lib/sqlalchemy/orm/_typing.py | {
"start": 2397,
"end": 2774
} | class ____(_CoreKnownExecutionOptions, total=False):
populate_existing: bool
autoflush: bool
synchronize_session: SynchronizeSessionArgument
dml_strategy: DMLStrategyArgument
is_delete_using: bool
is_update_from: bool
render_nulls: bool
OrmExecuteOptionsParameter = Union[
_OrmKnownExec... | _OrmKnownExecutionOptions |
python | sphinx-doc__sphinx | tests/roots/test-ext-autodoc/target/typehints.py | {
"start": 471,
"end": 1243
} | class ____:
CONST1: int
CONST2: int = 1
CONST3: pathlib.PurePosixPath = pathlib.PurePosixPath('/a/b/c')
def __init__(self, s: str, o: Any = None) -> None:
pass
def incr(self, a: int, b: int = 1) -> int:
return a + b
def decr(self, a, b=1):
# type: (int, int) -> int
... | Math |
python | run-llama__llama_index | llama-index-integrations/vector_stores/llama-index-vector-stores-singlestoredb/llama_index/vector_stores/singlestoredb/base.py | {
"start": 491,
"end": 11430
} | class ____(BasePydanticVectorStore):
"""
SingleStore vector store.
This vector store stores embeddings within a SingleStore database table.
During query time, the index uses SingleStore to query for the top
k most similar nodes.
Args:
table_name (str, optional): Specifies the name of ... | SingleStoreVectorStore |
python | ApeWorX__ape | tests/functional/test_plugins.py | {
"start": 10147,
"end": 11093
} | class ____:
def test_str(self, plugin_metadata):
representation = ApePluginsRepr(plugin_metadata)
actual = str(representation)
expected = f"""
Installed Plugins
installed {ape_version.base}
Third-party Plugins
thirdparty {ape_version.base}
"""
assert actual == exp... | TestApePluginsRepr |
python | mwaskom__seaborn | seaborn/_core/scales.py | {
"start": 13123,
"end": 16928
} | class ____(Scale):
values: tuple | str | None = None
norm: tuple | None = None
def _setup(
self, data: Series, prop: Property, axis: Axis | None = None,
) -> Scale:
new = copy(self)
if new._tick_params is None:
new = new.tick()
if new._label_params is None:... | ContinuousBase |
python | PrefectHQ__prefect | src/prefect/server/database/query_components.py | {
"start": 1369,
"end": 1874
} | class ____(NamedTuple):
kind: Literal["flow-run", "task-run"]
id: UUID
label: str
state_type: StateType
start_time: DateTime
end_time: Optional[DateTime]
parent_ids: Optional[list[UUID]]
child_ids: Optional[list[UUID]]
encapsulating_ids: Optional[list[UUID]]
ONE_HOUR = 60 * 60
ji... | FlowRunGraphV2Node |
python | realpython__materials | python-range/float_range.py | {
"start": 3036,
"end": 3733
} | class ____:
"""Non-public iterator. Should only be initialized by FloatRange."""
start: float | int
stop: float | int
step: float | int
_num_steps: int = field(default=0, init=False)
def __iter__(self):
"""Initialize the iterator."""
return self
def __next__(self):
... | _FloatRangeIterator |
python | encode__django-rest-framework | tests/test_fields.py | {
"start": 11350,
"end": 11765
} | class ____:
def setup_method(self):
class TestSerializer(serializers.Serializer):
labeled = serializers.IntegerField(label='My label')
self.serializer = TestSerializer()
def test_label(self):
"""
A field's label may be set with the `label` argument.
"""
... | TestLabel |
python | doocs__leetcode | solution/2900-2999/2931.Maximum Spending After Buying Items/Solution.py | {
"start": 0,
"end": 401
} | class ____:
def maxSpending(self, values: List[List[int]]) -> int:
n = len(values[0])
pq = [(row[-1], i, n - 1) for i, row in enumerate(values)]
heapify(pq)
ans = d = 0
while pq:
d += 1
v, i, j = heappop(pq)
ans += v * d
if j:
... | Solution |
python | airbytehq__airbyte | airbyte-ci/connectors/metadata_service/orchestrator/orchestrator/assets/registry_entry.py | {
"start": 2210,
"end": 30621
} | class ____(Exception):
pass
# HELPERS
@sentry_sdk.trace
def apply_spec_to_registry_entry(registry_entry: dict, spec_cache: SpecCache, registry_name: str) -> dict:
cached_spec = spec_cache.find_spec_cache_with_fallback(
registry_entry["dockerRepository"], registry_entry["dockerImageTag"], registry_na... | MissingCachedSpecError |
python | apache__airflow | providers/amazon/src/airflow/providers/amazon/aws/utils/task_log_fetcher.py | {
"start": 1187,
"end": 5364
} | class ____(Thread):
"""Fetch Cloudwatch log events with specific interval and send the log events to the logger.info."""
def __init__(
self,
*,
log_group: str,
log_stream_name: str,
fetch_interval: timedelta,
logger: Logger,
aws_conn_id: str | None = "aws... | AwsTaskLogFetcher |
python | getsentry__sentry | src/sentry/monitors/endpoints/base_monitor_environment_details.py | {
"start": 436,
"end": 2678
} | class ____(BaseEndpointMixin):
def update_monitor_environment(
self, request: Request, project, monitor, monitor_environment
) -> Response:
"""
Update a monitor environment.
"""
# Only support muting/unmuting monitor environments
is_muted = request.data.get("isMut... | MonitorEnvironmentDetailsMixin |
python | jazzband__django-oauth-toolkit | tests/test_scopes.py | {
"start": 952,
"end": 1148
} | class ____(ScopedProtectedResourceView):
required_scopes = ["scope1", "scope2"]
def get(self, request, *args, **kwargs):
return "This is a protected resource"
| MultiScopeResourceView |
python | spyder-ide__spyder | spyder/api/asyncdispatcher.py | {
"start": 17447,
"end": 17655
} | class ____(QEvent):
"""Event to execute a callback in the main Qt loop."""
def __init__(self, func: typing.Callable):
super().__init__(QEvent.Type.User)
self.func = func
| _QCallbackEvent |
python | huggingface__transformers | src/transformers/models/table_transformer/modeling_table_transformer.py | {
"start": 15435,
"end": 17140
} | class ____(nn.Module):
"""
This module learns positional embeddings up to a fixed maximum size.
"""
def __init__(self, embedding_dim=256):
super().__init__()
self.row_embeddings = nn.Embedding(50, embedding_dim)
self.column_embeddings = nn.Embedding(50, embedding_dim)
def f... | TableTransformerLearnedPositionEmbedding |
python | getsentry__sentry | src/sentry/api/endpoints/relay/__init__.py | {
"start": 41,
"end": 925
} | class ____(serializers.Serializer):
relay_id = serializers.RegexField(
r"^[a-f0-9]{8}-[a-f0-9]{4}-4[a-f0-9]{3}-[89ab][a-f0-9]{3}-[a-f0-9]{12}$", required=True
)
from .details import RelayDetailsEndpoint
from .health_check import RelayHealthCheck
from .index import RelayIndexEndpoint
from .project_conf... | RelayIdSerializer |
python | apache__airflow | providers/elasticsearch/src/airflow/providers/elasticsearch/hooks/elasticsearch.py | {
"start": 3440,
"end": 4678
} | class ____:
"""wrapper class for elasticsearch.Elasticsearch."""
def __init__(
self,
host: str = "localhost",
port: int = 9200,
user: str | None = None,
password: str | None = None,
scheme: str = "http",
**kwargs: Any,
):
self.host = host
... | ESConnection |
python | mlflow__mlflow | mlflow/types/llm.py | {
"start": 6526,
"end": 8169
} | class ____(_BaseDataclass):
"""
A message in a chat request or response.
Args:
role (str): The role of the entity that sent the message (e.g. ``"user"``,
``"system"``, ``"assistant"``, ``"tool"``).
content (str): The content of the message.
**Optional** Can be ``None... | ChatMessage |
python | walkccc__LeetCode | solutions/1260. Shift 2D Grid/1260.py | {
"start": 0,
"end": 365
} | class ____:
def shiftGrid(self, grid: list[list[int]], k: int) -> list[list[int]]:
m = len(grid)
n = len(grid[0])
ans = [[0] * n for _ in range(m)]
k %= m * n
for i in range(m):
for j in range(n):
index = (i * n + j + k) % (m * n)
x = index // n
y = index % n
... | Solution |
python | numpy__numpy | tools/swig/test/testSuperTensor.py | {
"start": 12356,
"end": 12673
} | class ____(SuperTensorTestCase):
def __init__(self, methodName="runTest"):
SuperTensorTestCase.__init__(self, methodName)
self.typeStr = "uchar"
self.typeCode = "B"
#self.result = int(self.result)
######################################################################
| ucharTestCase |
python | apache__airflow | airflow-core/src/airflow/executors/workloads.py | {
"start": 4603,
"end": 5659
} | class ____(BaseDagBundleWorkload):
"""Execute the given Callback."""
callback: Callback
type: Literal["ExecuteCallback"] = Field(init=False, default="ExecuteCallback")
@classmethod
def make(
cls,
callback: CallbackModel,
dag_run: DagRun,
dag_rel_path: Path | None =... | ExecuteCallback |
python | mkdocs__mkdocs | mkdocs/tests/config/config_options_legacy_tests.py | {
"start": 15294,
"end": 19813
} | class ____(TestCase):
class Schema:
repo_url = c.URL()
repo_name = c.RepoName('repo_url')
edit_uri_template = c.EditURITemplate('edit_uri')
edit_uri = c.EditURI('repo_url')
def test_repo_name_github(self):
conf = self.get_config(
self.Schema,
{'re... | EditURITest |
python | pytorch__pytorch | torch/_refs/fft.py | {
"start": 7669,
"end": 13042
} | class ____(NamedTuple):
shape: tuple[int, ...]
dims: tuple[int, ...]
def _canonicalize_fft_shape_and_dim_args(
input: TensorLikeType, shape: Optional[ShapeType], dim: Optional[DimsType]
) -> _ShapeAndDims:
"""Convert the shape and dim arguments into a canonical form where neither are optional"""
i... | _ShapeAndDims |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-github/source_github/github_schema.py | {
"start": 1133541,
"end": 1134982
} | class ____(sgqlc.types.Type, Node):
"""Describes the status of a given deployment attempt."""
__schema__ = github_schema
__field_names__ = ("created_at", "creator", "deployment", "description", "environment_url", "log_url", "state", "updated_at")
created_at = sgqlc.types.Field(sgqlc.types.non_null(Date... | DeploymentStatus |
python | getsentry__sentry | src/sentry/notifications/notification_action/metric_alert_registry/handlers/msteams_metric_alert_handler.py | {
"start": 871,
"end": 2578
} | class ____(BaseMetricAlertHandler):
@classmethod
def send_alert(
cls,
notification_context: NotificationContext,
alert_context: AlertContext,
metric_issue_context: MetricIssueContext,
open_period_context: OpenPeriodContext,
trigger_status: TriggerStatus,
n... | MSTeamsMetricAlertHandler |
python | pandas-dev__pandas | pandas/core/computation/ops.py | {
"start": 7816,
"end": 12338
} | class ____(Op):
"""
Hold a binary operator and its operands.
Parameters
----------
op : str
lhs : Term or Op
rhs : Term or Op
"""
def __init__(self, op: str, lhs, rhs) -> None:
super().__init__(op, (lhs, rhs))
self.lhs = lhs
self.rhs = rhs
self._dis... | BinOp |
python | scipy__scipy | scipy/optimize/tests/test_linprog.py | {
"start": 104925,
"end": 104988
} | class ____(RRTests):
options = {"rr_method": "SVD"}
| TestRRSVD |
python | ansible__ansible | lib/ansible/modules/hostname.py | {
"start": 23372,
"end": 23493
} | class ____(Hostname):
platform = 'Linux'
distribution = 'Alinux'
strategy_class = RedHatStrategy
| AlinuxHostname |
python | scipy__scipy | scipy/optimize/_trustregion_constr/tests/test_qp_subproblem.py | {
"start": 18754,
"end": 27642
} | class ____(TestCase):
# From Example 16.2 Nocedal/Wright "Numerical
# Optimization" p.452.
def test_nocedal_example(self):
H = csc_array([[6, 2, 1],
[2, 5, 2],
[1, 2, 4]])
A = csc_array([[1, 0, 1],
[0, 1, 1]])
c = ... | TestProjectCG |
python | google__pytype | pytype/tests/test_typing_annotated.py | {
"start": 122,
"end": 3488
} | class ____(test_base.BaseTest):
"""Tests for typing.Annotated types."""
def test_basic(self):
ty = self.Infer("""
from typing_extensions import Annotated
i = ... # type: Annotated[int, "foo"]
s: Annotated[str, "foo", "bar"] = "baz"
""")
self.assertTypesMatchPytd(
ty,
"... | AnnotatedTest |
python | django__django | tests/migration_test_data_persistence/migrations/0002_add_book.py | {
"start": 240,
"end": 441
} | class ____(migrations.Migration):
dependencies = [("migration_test_data_persistence", "0001_initial")]
operations = [
migrations.RunPython(
add_book,
),
]
| Migration |
python | realpython__materials | dwitter-part-3/source_code_final/dwitter/migrations/0002_dweet.py | {
"start": 158,
"end": 856
} | class ____(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('dwitter', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='Dweet',
fields=[
('id', models.BigAutoField(auto_created... | Migration |
python | coleifer__peewee | tests/base_models.py | {
"start": 483,
"end": 641
} | class ____(TestModel):
from_person = ForeignKeyField(Person, backref='relations')
to_person = ForeignKeyField(Person, backref='related_to')
| Relationship |
python | walkccc__LeetCode | solutions/2709. Greatest Common Divisor Traversal/2709.py | {
"start": 0,
"end": 550
} | class ____:
def __init__(self, n: int):
self.id = list(range(n))
self.sz = [1] * n
def unionBySize(self, u: int, v: int) -> None:
i = self._find(u)
j = self._find(v)
if i == j:
return
if self.sz[i] < self.sz[j]:
self.sz[j] += self.sz[i]
self.id[i] = j
else:
self.... | UnionFind |
python | huggingface__transformers | tests/models/hubert/test_modeling_hubert.py | {
"start": 22199,
"end": 33335
} | class ____(unittest.TestCase):
def _load_datasamples(self, num_samples):
from datasets import load_dataset
ds = load_dataset("hf-internal-testing/librispeech_asr_dummy", "clean", split="validation")
# automatic decoding with librispeech
speech_samples = ds.sort("id").filter(
... | HubertModelIntegrationTest |
python | great-expectations__great_expectations | tests/data_context/test_data_context.py | {
"start": 24149,
"end": 24825
} | class ____(BatchExpectation):
metric_dependencies = ("table.color",)
success_keys = ("color",)
args_keys = ("color",)
color: str
@classmethod
@renderer(renderer_type=".".join([AtomicRendererType.PRESCRIPTIVE, "custom_renderer_type"]))
def _prescriptive_renderer_custom(
cls,
... | ExpectSkyToBeColor |
python | apache__airflow | providers/google/tests/unit/google/cloud/transfers/test_local_to_gcs.py | {
"start": 1167,
"end": 9424
} | class ____:
_config = {
"bucket": "dummy",
"mime_type": "application/octet-stream",
"gzip": False,
"chunk_size": 262144,
}
@pytest.fixture(autouse=True)
def setup_method_fixture(self, tmp_path):
args = {"owner": "airflow", "start_date": datetime.datetime(2017, 1,... | TestFileToGcsOperator |
python | yaml__pyyaml | lib/yaml/tokens.py | {
"start": 1720,
"end": 1915
} | class ____(Token):
id = '<alias>'
def __init__(self, value, start_mark, end_mark):
self.value = value
self.start_mark = start_mark
self.end_mark = end_mark
| AliasToken |
python | realpython__materials | mandelbrot-set-python/mandelbrot_03.py | {
"start": 145,
"end": 879
} | class ____:
max_iterations: int
escape_radius: float = 2.0
def __contains__(self, c: complex) -> bool:
return self.stability(c) == 1
def stability(self, c: complex, smooth=False, clamp=True) -> float:
value = self.escape_count(c, smooth) / self.max_iterations
return max(0.0, mi... | MandelbrotSet |
python | openai__openai-python | src/openai/types/responses/response_text_config_param.py | {
"start": 319,
"end": 1381
} | class ____(TypedDict, total=False):
format: ResponseFormatTextConfigParam
"""An object specifying the format that the model must output.
Configuring `{ "type": "json_schema" }` enables Structured Outputs, which
ensures the model will match your supplied JSON schema. Learn more in the
[Structured Ou... | ResponseTextConfigParam |
python | lepture__authlib | authlib/oauth2/rfc8628/errors.py | {
"start": 320,
"end": 600
} | class ____(OAuth2Error):
"""A variant of "authorization_pending", the authorization request is
still pending and polling should continue, but the interval MUST
be increased by 5 seconds for this and all subsequent requests.
"""
error = "slow_down"
| SlowDownError |
python | Textualize__textual | docs/examples/widgets/footer.py | {
"start": 116,
"end": 680
} | class ____(App):
BINDINGS = [
Binding(key="q", action="quit", description="Quit the app"),
Binding(
key="question_mark",
action="help",
description="Show help screen",
key_display="?",
),
Binding(key="delete", action="delete", descripti... | FooterApp |
python | google__pytype | pytype/overlays/typing_overlay.py | {
"start": 12804,
"end": 13782
} | class ____(_TypeVariable):
"""Representation of typing.TypeVar, as a function."""
_ABSTRACT_CLASS = abstract.TypeParameter
@classmethod
def make(cls, ctx, module):
# We always want to use typing as the module, since pytype's typing.pytd
# contains a _typevar_new helper.
del module
return super... | TypeVar |
python | PrefectHQ__prefect | src/integrations/prefect-github/prefect_github/schemas/graphql_schema.py | {
"start": 911245,
"end": 913147
} | class ____(
sgqlc.types.Type,
Node,
Comment,
Deletable,
Minimizable,
Updatable,
UpdatableComment,
Reactable,
RepositoryNode,
):
"""
See source code for more info.
"""
__schema__ = graphql_schema
__field_names__ = (
"commit",
"diff_hunk",
"... | PullRequestReviewComment |
python | facebookresearch__faiss | benchs/bench_fw/benchmark.py | {
"start": 6896,
"end": 9511
} | class ____(IndexOperator):
codec_descs: List[CodecDescriptor] = field(default_factory=lambda: [])
assemble_opaque: bool = True
def get_desc(self, name: str) -> Optional[CodecDescriptor]:
for desc in self.codec_descs:
if desc.get_name() == name:
return desc
el... | TrainOperator |
python | Netflix__metaflow | metaflow/plugins/argo/exit_hooks.py | {
"start": 249,
"end": 699
} | class ____(JsonSerializable):
# https://argoproj.github.io/argo-workflows/fields/#lifecyclehook
def __init__(self, name):
tree = lambda: defaultdict(tree)
self.name = name
self.payload = tree()
def expression(self, expression):
self.payload["expression"] = str(expression)
... | _LifecycleHook |
python | marshmallow-code__marshmallow | src/marshmallow/schema.py | {
"start": 6962,
"end": 8072
} | class ____:
"""Defines defaults for `marshmallow.Schema.Meta`."""
def __init__(self, meta: type):
self.fields = getattr(meta, "fields", ())
if not isinstance(self.fields, (list, tuple)):
raise ValueError("`fields` option must be a list or tuple.")
self.exclude = getattr(meta... | SchemaOpts |
python | joke2k__faker | faker/providers/ssn/dk_DK/__init__.py | {
"start": 42,
"end": 344
} | class ____(BaseProvider):
"""
A Faker provider for the Danish VAT IDs
"""
vat_id_formats = ("DK########",)
def vat_id(self) -> str:
"""
Returns a random generated Danish Tax ID
"""
return self.bothify(self.random_element(self.vat_id_formats))
| Provider |
python | getsentry__sentry-python | sentry_sdk/integrations/huggingface_hub.py | {
"start": 699,
"end": 14952
} | class ____(Integration):
identifier = "huggingface_hub"
origin = f"auto.ai.{identifier}"
def __init__(self, include_prompts=True):
# type: (HuggingfaceHubIntegration, bool) -> None
self.include_prompts = include_prompts
@staticmethod
def setup_once():
# type: () -> None
... | HuggingfaceHubIntegration |
python | bokeh__bokeh | src/bokeh/models/map_plots.py | {
"start": 4771,
"end": 7567
} | class ____(MapPlot):
''' A Bokeh Plot with a `Google Map`_ displayed underneath.
Data placed on this plot should be specified in decimal lat/lon coordinates
e.g. ``(37.123, -122.404)``. It will be automatically converted into the
web mercator projection to display properly over google maps tiles.
... | GMapPlot |
python | eth-brownie__brownie | brownie/_gui/opcodes.py | {
"start": 6017,
"end": 7501
} | class ____(ToggleButton):
def __init__(self, parent):
super().__init__(parent, "Scope", "s")
self.oplist = self.root.main.oplist
def toggle_on(self):
try:
op = self.oplist.selection()[0]
except IndexError:
return False
if self.oplist.item(op, "tag... | ScopingButton |
python | getsentry__sentry | src/sentry/api/serializers/models/project_key.py | {
"start": 558,
"end": 802
} | class ____(TypedDict):
secret: str
public: str
csp: str
security: str
minidump: str
nel: str
unreal: str
crons: str
cdn: str
playstation: str
integration: str
otlp_traces: str
otlp_logs: str
| DSN |
python | vyperlang__vyper | vyper/exceptions.py | {
"start": 8162,
"end": 8261
} | class ____(VyperException):
"""Reference to an attribute that does not exist."""
| UnknownAttribute |
python | astropy__astropy | astropy/coordinates/representation/spherical.py | {
"start": 47175,
"end": 51892
} | class ____(BaseSphericalCosLatDifferential):
"""Differential(s) of points on a unit sphere.
Parameters
----------
d_lon_coslat, d_lat : `~astropy.units.Quantity`
The longitude and latitude of the differentials.
copy : bool, optional
If `True` (default), arrays will be copied. If `Fa... | UnitSphericalCosLatDifferential |
python | pytorch__pytorch | torch/nn/modules/loss.py | {
"start": 4565,
"end": 10950
} | class ____(_WeightedLoss):
r"""The negative log likelihood loss. It is useful to train a classification
problem with `C` classes.
If provided, the optional argument :attr:`weight` should be a 1D Tensor assigning
weight to each of the classes. This is particularly useful when you have an
unbalanced ... | NLLLoss |
python | huggingface__transformers | src/transformers/models/lxmert/modeling_lxmert.py | {
"start": 27207,
"end": 27747
} | class ____(nn.Module):
def __init__(self, config):
super().__init__()
self.dense = nn.Linear(config.hidden_size, config.hidden_size)
self.transform_act_fn = ACT2FN[config.hidden_act]
self.LayerNorm = nn.LayerNorm(config.hidden_size, eps=1e-12)
def forward(self, hidden_states):
... | LxmertPredictionHeadTransform |
python | Farama-Foundation__Gymnasium | gymnasium/wrappers/vector/vectorize_observation.py | {
"start": 603,
"end": 4700
} | class ____(VectorObservationWrapper):
"""Transforms an observation via a function provided to the wrapper.
This function allows the manual specification of the vector-observation function as well as the single-observation function.
This is desirable when, for example, it is possible to process vector obser... | TransformObservation |
python | prompt-toolkit__python-prompt-toolkit | src/prompt_toolkit/contrib/regular_languages/regex_parser.py | {
"start": 2974,
"end": 7732
} | class ____(Node):
def __init__(
self,
childnode: Node,
min_repeat: int = 0,
max_repeat: int | None = None,
greedy: bool = True,
) -> None:
self.childnode = childnode
self.min_repeat = min_repeat
self.max_repeat = max_repeat
self.greedy = gr... | Repeat |
python | marshmallow-code__marshmallow | tests/base.py | {
"start": 544,
"end": 1934
} | class ____(Enum):
date_1 = dt.date(2004, 2, 29)
date_2 = dt.date(2008, 2, 29)
date_3 = dt.date(2012, 2, 29)
ALL_FIELDS = [
fields.String,
fields.Integer,
fields.Boolean,
fields.Float,
fields.DateTime,
fields.Time,
fields.Date,
fields.TimeDelta,
fields.Dict,
fields.U... | DateEnum |
python | pypa__pip | src/pip/_internal/index/package_finder.py | {
"start": 21639,
"end": 39158
} | class ____:
"""This finds packages.
This is meant to match easy_install's technique for looking for
packages, by reading pages and looking for appropriate links.
"""
def __init__(
self,
link_collector: LinkCollector,
target_python: TargetPython,
allow_yanked: bool,
... | PackageFinder |
python | getsentry__sentry | src/sentry/issue_detection/detectors/uncompressed_asset_detector.py | {
"start": 715,
"end": 6567
} | class ____(PerformanceDetector):
"""
Checks for large assets that are affecting load time.
"""
__slots__ = ("any_compression",)
settings_key = DetectorType.UNCOMPRESSED_ASSETS
type = DetectorType.UNCOMPRESSED_ASSETS
def __init__(self, settings: dict[DetectorType, Any], event: dict[str, An... | UncompressedAssetSpanDetector |
python | celery__celery | t/unit/app/test_beat.py | {
"start": 32959,
"end": 33558
} | class ____:
def test_maybe_make_aware(self):
x = schedule(10, app=self.app)
x.utc_enabled = True
d = x.maybe_make_aware(datetime.now(timezone.utc))
assert d.tzinfo
x.utc_enabled = False
d2 = x.maybe_make_aware(datetime.now(timezone.utc))
assert d2.tzinfo
... | test_schedule |
python | pandas-dev__pandas | pandas/tests/series/test_arithmetic.py | {
"start": 30347,
"end": 33110
} | class ____:
@pytest.mark.parametrize("box", [list, tuple, np.array, Index, Series, pd.array])
@pytest.mark.parametrize("flex", [True, False])
def test_series_ops_name_retention(self, flex, box, names, all_binary_operators):
# GH#33930 consistent name-retention
op = all_binary_operators
... | TestNamePreservation |
python | sphinx-doc__sphinx | tests/roots/test-ext-autodoc/target/__init__.py | {
"start": 2250,
"end": 2382
} | class ____(dict): # NoQA: FURB189
"""Docstring."""
def function(foo, *args, **kwds):
"""Return spam."""
pass
| CustomDict |
python | django__django | tests/pagination/custom.py | {
"start": 79,
"end": 389
} | class ____(Page):
def next_page_number(self):
if not self.has_next():
return None
return super().next_page_number()
def previous_page_number(self):
if not self.has_previous():
return None
return super().previous_page_number()
| ValidAdjacentNumsPage |
python | huggingface__transformers | src/transformers/models/superglue/image_processing_superglue.py | {
"start": 4810,
"end": 5122
} | class ____(ImagesKwargs, total=False):
r"""
do_grayscale (`bool`, *optional*, defaults to `True`):
Whether to convert the image to grayscale. Can be overridden by `do_grayscale` in the `preprocess` method.
"""
do_grayscale: bool
@requires(backends=("torch",))
| SuperGlueImageProcessorKwargs |
python | explosion__spaCy | spacy/lang/yo/__init__.py | {
"start": 216,
"end": 309
} | class ____(Language):
lang = "yo"
Defaults = YorubaDefaults
__all__ = ["Yoruba"]
| Yoruba |
python | pytorch__pytorch | torch/_functorch/_aot_autograd/descriptors.py | {
"start": 15103,
"end": 15264
} | class ____(AOTInput):
"""A subclass that classifies AOTInput that can be wrapped by GradAOTOutput"""
@dataclasses.dataclass(frozen=True)
| DifferentiableAOTInput |
python | pallets__itsdangerous | src/itsdangerous/exc.py | {
"start": 87,
"end": 436
} | class ____(Exception):
"""Raised if bad data of any sort was encountered. This is the base
for all exceptions that ItsDangerous defines.
.. versionadded:: 0.15
"""
def __init__(self, message: str):
super().__init__(message)
self.message = message
def __str__(self) -> str:
... | BadData |
python | run-llama__llama_index | llama-index-packs/llama-index-packs-code-hierarchy/tests/test_code_hierarchy_with_skeleton.py | {
"start": 15625,
"end": 15976
} | class ____ {
exampleMethod() {
console.log("line1");
}
}
"""
text_node = TextNode(
text=text,
)
chunks: List[RelatedNodeInfo] = code_splitter.get_nodes_from_documents([text_node])
# Fstrings don't like forward slash
double_forward_slash: str = "//"
assert (
chun... | Example |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-hubspot/unit_tests/integrations/response_builder/__init__.py | {
"start": 124,
"end": 229
} | class ____:
@abc.abstractmethod
def build(self) -> HttpResponse:
pass
| AbstractResponseBuilder |
python | tensorflow__tensorflow | tensorflow/python/kernel_tests/array_ops/broadcast_to_ops_test.py | {
"start": 1139,
"end": 8114
} | class ____(test_util.TensorFlowTestCase):
def testBroadcastToBasic(self):
for dtype in [
np.uint8,
np.uint16,
np.int8,
np.int16,
np.int32,
np.int64,
np.float16,
np.float32,
np.float64,
dtypes.bfloat16.as_numpy_dtype,
dtypes.f... | BroadcastToTest |
python | PrefectHQ__prefect | tests/server/orchestration/api/test_workers.py | {
"start": 57284,
"end": 60158
} | class ____:
async def test_work_pool_status_with_online_worker(self, client, work_pool):
"""Work pools with an online work should have a status of READY."""
await client.post(
f"/work_pools/{work_pool.name}/workers/heartbeat",
json=dict(name="test-worker"),
)
... | TestWorkPoolStatus |
python | getsentry__sentry-python | tests/integrations/beam/test_beam.py | {
"start": 1293,
"end": 1399
} | class ____(DoFn):
def process(self, x):
if x:
1 / 0
return [True]
| SimpleFunc |
python | xlwings__xlwings | xlwings/constants.py | {
"start": 101783,
"end": 102012
} | class ____:
xlRangeValueDefault = 10 # from enum XlRangeValueDataType
xlRangeValueMSPersistXML = 12 # from enum XlRangeValueDataType
xlRangeValueXMLSpreadsheet = 11 # from enum XlRangeValueDataType
| RangeValueDataType |
python | pypa__warehouse | warehouse/accounts/forms.py | {
"start": 3042,
"end": 3512
} | class ____:
totp_value = wtforms.StringField(
validators=[
wtforms.validators.InputRequired(),
PreventNullBytesValidator(),
wtforms.validators.Regexp(
rf"^ *([0-9] *){{{otp.TOTP_LENGTH}}}$",
message=_(
"TOTP code must be... | TOTPValueMixin |
python | dagster-io__dagster | python_modules/libraries/dagster-airbyte/dagster_airbyte/managed/generated/sources.py | {
"start": 109348,
"end": 111247
} | class ____(GeneratedAirbyteSource):
@public
def __init__(
self,
name: str,
api_token: str,
dimensions: list[str],
ingest_start: str,
metrics: list[str],
additional_metrics: Optional[list[str]] = None,
until_today: Optional[bool] = None,
):
... | AdjustSource |
python | cython__cython | Cython/Compiler/ExprNodes.py | {
"start": 13684,
"end": 53049
} | class ____(Node):
# subexprs [string] Class var holding names of subexpr node attrs
# type PyrexType Type of the result
# result_code string Code fragment
# result_ctype string C type of result_code if different from type
# is_temp boolean Result is in ... | ExprNode |
python | sympy__sympy | sympy/assumptions/predicates/order.py | {
"start": 8907,
"end": 9511
} | class ____(Predicate):
"""
Nonnegative extended real number predicate.
Explanation
===========
``ask(Q.extended_nonnegative(x))`` is true iff ``x`` is extended real and
``x`` is not negative.
Examples
========
>>> from sympy import ask, I, oo, Q
>>> ask(Q.extended_nonnegative... | ExtendedNonNegativePredicate |
python | pytorch__pytorch | test/test_dataloader.py | {
"start": 128709,
"end": 128999
} | class ____(TestCase):
# Tests crash reported in https://github.com/pytorch/pytorch/issues/53565
def test_conv_after_fork(self):
loader = DataLoader(ConvDataset(), num_workers=1)
for x in loader:
self.assertEqual(x.shape, (1, 1, 1, 23999))
| TestConvAfterFork |
python | huggingface__transformers | tests/models/vilt/test_modeling_vilt.py | {
"start": 1626,
"end": 7942
} | class ____:
def __init__(
self,
parent,
batch_size=13,
seq_length=7,
image_size=30,
patch_size=2,
num_channels=3,
is_training=True,
use_input_mask=True,
use_token_type_ids=True,
use_labels=True,
vocab_size=99,
hi... | ViltModelTester |
python | Textualize__textual | tests/snapshot_tests/snapshot_apps/welcome_widget.py | {
"start": 80,
"end": 225
} | class ____(App[None]):
def compose(self) -> ComposeResult:
yield Welcome()
if __name__ == "__main__":
WelcomeApp().run()
| WelcomeApp |
python | RaRe-Technologies__gensim | gensim/scripts/segment_wiki.py | {
"start": 9363,
"end": 15638
} | class ____(WikiCorpus):
"""Treat a wikipedia articles dump (<LANG>wiki-<YYYYMMDD>-pages-articles.xml.bz2
or <LANG>wiki-latest-pages-articles.xml.bz2) as a (read-only) corpus.
The documents are extracted on-the-fly, so that the whole (massive) dump can stay compressed on disk.
"""
def __init__(sel... | _WikiSectionsCorpus |
python | jmcnamara__XlsxWriter | xlsxwriter/rich_value_types.py | {
"start": 325,
"end": 3356
} | class ____(xmlwriter.XMLwriter):
"""
A class for writing the Excel XLSX rdRichValueTypes.xml file.
"""
###########################################################################
#
# Private API.
#
###########################################################################
def _a... | RichValueTypes |
python | pytorch__pytorch | test/nn/test_load_state_dict.py | {
"start": 20321,
"end": 20630
} | class ____(torch.Tensor):
@classmethod
def __torch_function__(cls, func, types, args=(), kwargs=None):
return load_torch_function_handler(cls, func, types, args, kwargs)
# We use MyLoadTensor2 to test tensor subclass, wrapper tensor subclass
# where neither inherits from each other
| MyLoadTensor |
python | numba__numba | numba/core/ir.py | {
"start": 683,
"end": 7314
} | class ____(object):
"""Source location
"""
_defmatcher = re.compile(r'def\s+(\w+)')
def __init__(self, filename, line, col=None, maybe_decorator=False):
""" Arguments:
filename - name of the file
line - line in file
col - column
maybe_decorator - Set to True if ... | Loc |
python | streamlit__streamlit | lib/streamlit/runtime/memory_media_file_storage.py | {
"start": 2723,
"end": 6253
} | class ____(MediaFileStorage, CacheStatsProvider):
def __init__(self, media_endpoint: str) -> None:
"""Create a new MemoryMediaFileStorage instance.
Parameters
----------
media_endpoint
The name of the local endpoint that media is served from.
This endpoint sh... | MemoryMediaFileStorage |
python | streamlit__streamlit | lib/tests/streamlit/web/server/routes_test.py | {
"start": 10184,
"end": 11709
} | class ____(tornado.testing.AsyncHTTPTestCase):
def setUp(self):
super().setUp()
def get_app(self):
return tornado.web.Application(
[
(
rf"/{HOST_CONFIG_ENDPOINT}",
HostConfigHandler,
)
]
)
... | HostConfigHandlerTest |
python | PyCQA__pylint | tests/functional/e/enum_subclasses.py | {
"start": 95,
"end": 258
} | class ____(IntEnum):
"""https://github.com/pylint-dev/pylint/issues/1932"""
FOO = 1
def whats_my_name(self):
return self.name.lower()
| Issue1932 |
python | kamyu104__LeetCode-Solutions | Python/sum-of-number-and-its-reverse.py | {
"start": 1065,
"end": 1496
} | class ____(object):
def sumOfNumberAndReverse(self, num):
"""
:type num: int
:rtype: bool
"""
def reverse(n):
result = 0
while n:
result = result*10 + n%10
n //= 10
return result
return a... | Solution2 |
python | huggingface__transformers | tests/quantization/quanto_integration/test_quanto.py | {
"start": 16545,
"end": 16770
} | class ____(QuantoQuantizationSerializationTest):
EXPECTED_OUTPUTS = "Hello my name is John, I am a professional photographer, I"
weights = "int4"
@require_torch_accelerator
| QuantoQuantizationQBitsTensorSerializationTest |
python | huggingface__transformers | src/transformers/models/idefics3/modeling_idefics3.py | {
"start": 14310,
"end": 16055
} | class ____(nn.Module):
"""
Transformer encoder consisting of `config.num_hidden_layers` self attention layers. Each layer is a
[`Idefics3EncoderLayer`].
Args:
config: Idefics3Config
"""
def __init__(self, config: Idefics3Config):
super().__init__()
self.config = config
... | Idefics3Encoder |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.