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 | hyperopt__hyperopt | hyperopt/spark.py | {
"start": 841,
"end": 12302
} | class ____(Trials):
"""
Implementation of hyperopt.Trials supporting
distributed execution using Apache Spark clusters.
This requires fmin to be run on a Spark cluster.
Plugging SparkTrials into hyperopt.fmin() allows hyperopt
to send model training and evaluation tasks to Spark workers,
pa... | SparkTrials |
python | qdrant__qdrant-client | qdrant_client/http/models/models.py | {
"start": 131173,
"end": 131363
} | class ____(str, Enum):
"""
Storage on disk (rocksdb storage)
"""
def __str__(self) -> str:
return str(self.value)
ON_DISK = "on_disk"
| SparseVectorStorageTypeOneOf |
python | sympy__sympy | sympy/codegen/ast.py | {
"start": 11986,
"end": 12398
} | class ____(Token):
""" Represents 'continue' in C/Python ('cycle' in Fortran)
Use the premade instance ``continue_`` or instantiate manually.
Examples
========
>>> from sympy import ccode, fcode
>>> from sympy.codegen.ast import continue_
>>> ccode(continue_)
'continue'
>>> fcode(... | ContinueToken |
python | huggingface__transformers | src/transformers/models/gpt_neox/modular_gpt_neox.py | {
"start": 8577,
"end": 10972
} | class ____(GradientCheckpointingLayer):
def __init__(self, config, layer_idx):
super().__init__()
self.use_parallel_residual = config.use_parallel_residual
self.input_layernorm = nn.LayerNorm(config.hidden_size, eps=config.layer_norm_eps)
self.post_attention_layernorm = nn.LayerNorm(... | GPTNeoXLayer |
python | tensorflow__tensorflow | tensorflow/python/data/kernel_tests/map_test.py | {
"start": 66395,
"end": 69078
} | class ____(test_base.DatasetTestBase, parameterized.TestCase):
@combinations.generate(
combinations.times(
test_base.v2_only_combinations(),
combinations.combine(
dataset_range=[100],
num_parallel_calls=[None, 2, dataset_ops.AUTOTUNE],
deterministic... | MapGlobalShuffleTest |
python | plotly__plotly.py | plotly/graph_objs/sankey/link/_line.py | {
"start": 233,
"end": 4565
} | class ____(_BaseTraceHierarchyType):
_parent_path_str = "sankey.link"
_path_str = "sankey.link.line"
_valid_props = {"color", "colorsrc", "width", "widthsrc"}
@property
def color(self):
"""
Sets the color of the `line` around each `link`.
The 'color' property is a color and... | Line |
python | getsentry__sentry | src/sentry/codecov/endpoints/test_suites/test_suites.py | {
"start": 824,
"end": 2224
} | class ____(CodecovEndpoint):
__test__ = False
owner = ApiOwner.CODECOV
publish_status = {
"GET": ApiPublishStatus.PUBLIC,
}
@extend_schema(
operation_id="Retrieve test suites belonging to a repository's test results",
parameters=[
GlobalParams.ORG_ID_OR_SLUG,
... | TestSuitesEndpoint |
python | django__django | tests/staticfiles_tests/test_management.py | {
"start": 13002,
"end": 15537
} | class ____(CollectionTestCase):
overwrite_warning_msg = "This will overwrite existing files!"
delete_warning_msg = "This will DELETE ALL FILES in this location!"
files_copied_msg = "static files copied"
@staticmethod
def mock_input(stdout):
def _input(msg):
stdout.write(msg)
... | TestInteractiveMessages |
python | django__django | tests/staticfiles_tests/test_handlers.py | {
"start": 401,
"end": 1621
} | class ____(StaticFilesTestCase):
async_request_factory = AsyncRequestFactory()
async def test_get_async_response(self):
request = self.async_request_factory.get("/static/test/file.txt")
handler = ASGIStaticFilesHandler(ASGIHandler())
response = await handler.get_response_async(request)
... | TestASGIStaticFilesHandler |
python | django__django | tests/gis_tests/test_geoforms.py | {
"start": 374,
"end": 8632
} | class ____(SimpleTestCase):
def test_init(self):
"Testing GeometryField initialization with defaults."
fld = forms.GeometryField()
for bad_default in ("blah", 3, "FoO", None, 0):
with self.subTest(bad_default=bad_default):
with self.assertRaises(ValidationError):
... | GeometryFieldTest |
python | django__django | tests/delete_regress/tests.py | {
"start": 14614,
"end": 15122
} | class ____(TestCase):
def test_set_querycount(self):
policy = Policy.objects.create()
version = Version.objects.create(policy=policy)
location = Location.objects.create(version=version)
Item.objects.create(
version=version,
location=location,
locat... | SetQueryCountTests |
python | pypa__pip | src/pip/_vendor/rich/measure.py | {
"start": 262,
"end": 5305
} | class ____(NamedTuple):
"""Stores the minimum and maximum widths (in characters) required to render an object."""
minimum: int
"""Minimum number of cells required to render."""
maximum: int
"""Maximum number of cells required to render."""
@property
def span(self) -> int:
"""Get di... | Measurement |
python | google__pytype | pytype/state.py | {
"start": 7029,
"end": 14576
} | class ____(utils.ContextWeakrefMixin):
"""An interpreter frame.
This contains the local value and block stacks and the associated code and
pointer. The most complex usage is with generators in which a frame is stored
and then repeatedly reactivated. Other than that frames are created executed
and then discar... | Frame |
python | pypa__setuptools | setuptools/_vendor/jaraco/collections/__init__.py | {
"start": 9127,
"end": 10882
} | class ____(dict):
"""
A dict subclass that transforms the keys before they're used.
Subclasses may override the default transform_key to customize behavior.
"""
@staticmethod
def transform_key(key): # pragma: nocover
return key
def __init__(self, *args, **kargs):
super()._... | KeyTransformingDict |
python | psf__black | tests/data/cases/dummy_implementations.py | {
"start": 3201,
"end": 3251
} | class ____:
def f(self): ... # Comment 2
| ClassF |
python | walkccc__LeetCode | solutions/3514. Number of Unique XOR Triplets II/3515.py | {
"start": 0,
"end": 322
} | class ____:
def uniqueXorTriplets(self, nums: list[int]) -> int:
n = len(nums)
if n == 1:
return 1
pairs = set(nums[i] ^ nums[j]
for i, j in itertools.combinations(range(n), 2))
return len(set(pair ^ num
for pair in pairs
for num in nums))
| Solution |
python | PrefectHQ__prefect | tests/events/server/test_in_memory_ordering.py | {
"start": 6210,
"end": 8115
} | class ____:
async def test_event_seen_tracking(
self, causal_ordering: CausalOrdering, event_one: ReceivedEvent
):
# Initially not seen
assert not await causal_ordering.event_has_been_seen(event_one)
assert not await causal_ordering.event_has_been_seen(event_one.id)
# Re... | TestEventSeenTracking |
python | ray-project__ray | python/ray/_private/thirdparty/pynvml/pynvml.py | {
"start": 224365,
"end": 243603
} | class ____(_PrintableStructure):
_fields_ = [
('version', c_uint),
('type', _nvmlClockType_t),
('pstate', _nvmlPstates_t),
('clockOffsetMHz', c_int),
('minClockOffsetMHz', c_int),
('maxClockOffsetMHz', c_int),
]
nvmlClockOffset_v1 = 0x1000018
def nvmlDeviceGetCl... | c_nvmlClockOffset_t |
python | ray-project__ray | python/ray/dag/dag_node.py | {
"start": 754,
"end": 29422
} | class ____(DAGNodeBase):
"""Abstract class for a node in a Ray task graph.
A node has a type (e.g., FunctionNode), data (e.g., function options and
body), arguments (Python values, DAGNodes, and DAGNodes nested within Python
argument values) and options (Ray API .options() used for function, class
... | DAGNode |
python | pytorch__pytorch | torch/testing/_internal/common_quantization.py | {
"start": 62739,
"end": 63077
} | class ____(torch.nn.Module):
def __init__(self) -> None:
super().__init__()
self.conv = torch.nn.Conv2d(3, 5, 3, bias=False).to(dtype=torch.float)
def forward(self, x):
x = self.conv(x)
return x
def get_example_inputs(self) -> tuple[Any, ...]:
return (torch.rand(1, ... | ConvModel |
python | crytic__slither | slither/tools/upgradeability/checks/abstract_checks.py | {
"start": 369,
"end": 983
} | class ____(ComparableEnum):
HIGH = 0
MEDIUM = 1
LOW = 2
INFORMATIONAL = 3
UNIMPLEMENTED = 999
classification_colors: Dict[CheckClassification, Callable[[str], str]] = {
CheckClassification.INFORMATIONAL: green,
CheckClassification.LOW: yellow,
CheckClassification.MEDIUM: yellow,
Ch... | CheckClassification |
python | dagster-io__dagster | python_modules/libraries/dagster-dg-cli/dagster_dg_cli/cli/scaffold/branch/ai.py | {
"start": 884,
"end": 2305
} | class ____:
branch_name: str
pr_title: str
def load_prompt_template(prompt_filename: str, context: str) -> str:
"""Load a prompt template and inject context.
Args:
prompt_filename: The name of the prompt file (e.g., 'branch_name_only.md')
context: The context to inject into the prompt... | ExtractedNames |
python | huggingface__transformers | src/transformers/models/layoutlmv2/image_processing_layoutlmv2.py | {
"start": 4569,
"end": 14376
} | class ____(BaseImageProcessor):
r"""
Constructs a LayoutLMv2 image processor.
Args:
do_resize (`bool`, *optional*, defaults to `True`):
Whether to resize the image's (height, width) dimensions to `(size["height"], size["width"])`. Can be
overridden by `do_resize` in `preproc... | LayoutLMv2ImageProcessor |
python | pytorch__pytorch | torch/utils/data/dataloader.py | {
"start": 34792,
"end": 36106
} | class ____(_BaseDataLoaderIter):
def __init__(self, loader) -> None:
super().__init__(loader)
if self._timeout != 0:
raise AssertionError("_SingleProcessDataLoaderIter requires timeout == 0")
if self._num_workers != 0:
raise AssertionError(
"_SinglePro... | _SingleProcessDataLoaderIter |
python | modin-project__modin | modin/pandas/resample.py | {
"start": 1373,
"end": 13126
} | class ____(ClassLogger):
_dataframe: Union[DataFrame, Series]
_query_compiler: BaseQueryCompiler
def __init__(
self,
dataframe: Union[DataFrame, Series],
rule,
axis=0,
closed=None,
label=None,
convention="start",
kind=None,
on=None,
... | Resampler |
python | huggingface__transformers | src/transformers/generation/candidate_generator.py | {
"start": 3334,
"end": 17462
} | class ____(CandidateGenerator):
"""
`CandidateGenerator` class to be used for assisted generation and speculative decoding. This class generates
candidates through the use of a smaller model. Read the following blog post for more information:
https://huggingface.co/blog/assisted-generation
Args:
... | AssistedCandidateGenerator |
python | pytorch__pytorch | torch/_higher_order_ops/invoke_subgraph.py | {
"start": 1443,
"end": 1632
} | class ____:
num_fw_outs: Optional[int] = None
indexes_with_symint: set[int] = field(default_factory=set)
indexes_with_no_grad: set[int] = field(default_factory=set)
| OutputMetadata |
python | pytorch__pytorch | tools/experimental/torchfuzz/operators/nn_functional.py | {
"start": 19066,
"end": 20507
} | class ____(Operator):
"""Operator for torch.nn.functional.gelu (Gaussian Error Linear Unit)."""
def __init__(self):
super().__init__("torch.nn.functional.gelu")
@property
def torch_op_name(self) -> str | None:
"""Return the torch operation name."""
return "torch.nn.functional.g... | GELUOperator |
python | matplotlib__matplotlib | lib/matplotlib/backends/qt_editor/_formlayout.py | {
"start": 1770,
"end": 3157
} | class ____(QtWidgets.QPushButton):
"""
Color choosing push button
"""
colorChanged = QtCore.Signal(QtGui.QColor)
def __init__(self, parent=None):
super().__init__(parent)
self.setFixedSize(20, 20)
self.setIconSize(QtCore.QSize(12, 12))
self.clicked.connect(self.choos... | ColorButton |
python | joke2k__faker | faker/providers/currency/uz_UZ/__init__.py | {
"start": 46,
"end": 5889
} | class ____(CurrencyProvider):
# Format: (code, name)
currencies = (
("AED", "BAA Dirhami"),
("AFN", "Afg‘oni"),
("ALL", "Lek"),
("AMD", "Arman dramasi"),
("ANG", "Niderlandiya Antil guldeni"),
("AOA", "Kvanza"),
("ARS", "Argentina pesosi"),
("AUD",... | Provider |
python | jmcnamara__XlsxWriter | xlsxwriter/test/comparison/test_default_row05.py | {
"start": 315,
"end": 1077
} | class ____(ExcelComparisonTest):
"""
Test file created by XlsxWriter against a file created by Excel.
"""
def setUp(self):
self.set_filename("default_row05.xlsx")
def test_create_file(self):
"""Test the creation of a simple XlsxWriter file."""
workbook = Workbook(self.got... | TestCompareXLSXFiles |
python | huggingface__transformers | src/transformers/models/x_clip/modeling_x_clip.py | {
"start": 4250,
"end": 8166
} | class ____(nn.Module):
def __init__(self, config: XCLIPVisionConfig):
super().__init__()
self.config = config
self.embed_dim = config.hidden_size
self.image_size = config.image_size
self.patch_size = config.patch_size
self.class_embedding = nn.Parameter(torch.randn(s... | XCLIPVisionEmbeddings |
python | scipy__scipy | scipy/signal/tests/test_signaltools.py | {
"start": 105653,
"end": 110610
} | class ____:
# The decimal precision to be used for comparing results.
# This value will be passed as the 'decimal' keyword argument of
# assert_array_almost_equal().
# Since correlate may chose to use FFT method which converts
# longdoubles to doubles internally don't expect better precision
# f... | TestCorrelateComplex |
python | apache__airflow | providers/cncf/kubernetes/src/airflow/providers/cncf/kubernetes/k8s_model.py | {
"start": 1040,
"end": 2101
} | class ____(ABC):
"""
Airflow Kubernetes models are here for backwards compatibility reasons only.
Ideally clients should use the kubernetes API
and the process of
client input -> Airflow k8s models -> k8s models
can be avoided. All of these models implement the
`attach_to_pod` method ... | K8SModel |
python | getsentry__sentry | tests/sentry/issues/endpoints/test_team_groups_old.py | {
"start": 335,
"end": 3119
} | class ____(APITestCase):
endpoint = "sentry-api-0-team-oldest-issues"
def test_simple(self) -> None:
project1 = self.create_project(teams=[self.team], slug="foo")
project2 = self.create_project(teams=[self.team], slug="bar")
group1 = self.create_group(
project=project1,
... | TeamGroupsOldTest |
python | pypa__pip | src/pip/_internal/exceptions.py | {
"start": 5399,
"end": 5484
} | class ____(PipError):
"""General exception during installation"""
| InstallationError |
python | mahmoud__boltons | boltons/setutils.py | {
"start": 19552,
"end": 33482
} | class ____:
"""
helper class for complement() that implements the set methods
"""
__slots__ = ('_included', '_excluded')
def __init__(self, included=None, excluded=None):
if included is None:
assert type(excluded) in (set, frozenset)
elif excluded is None:
as... | _ComplementSet |
python | sqlalchemy__sqlalchemy | lib/sqlalchemy/orm/util.py | {
"start": 20123,
"end": 21850
} | class ____(sql_util.ColumnAdapter):
"""ColumnAdapter subclass which excludes adaptation of entities from
non-matching mappers.
"""
__slots__ = ("role", "mapper", "is_aliased_class", "aliased_insp")
is_aliased_class: bool
aliased_insp: Optional[AliasedInsp[Any]]
def __init__(
self... | ORMAdapter |
python | PyCQA__pylint | tests/functional/c/class_attributes.py | {
"start": 415,
"end": 450
} | class ____:
_class_prop: int
| Base |
python | ansible__ansible | test/lib/ansible_test/_internal/commands/coverage/xml.py | {
"start": 5673,
"end": 5775
} | class ____(CoverageCombineConfig):
"""Configuration for the coverage xml command."""
| CoverageXmlConfig |
python | huggingface__transformers | src/transformers/models/sam_hq/modeling_sam_hq.py | {
"start": 29671,
"end": 32924
} | class ____(nn.Module):
def __init__(self, config, attention_downsample_rate: int = 2, skip_first_layer_pe: bool = False):
"""
A transformer block with four layers:
(1) self-attention of sparse inputs (2) cross attention of sparse inputs -> dense inputs (3) mlp block on
sparse... | SamHQTwoWayAttentionBlock |
python | getsentry__sentry | src/sentry/migrations/0914_increase_orgmember_user_email_max_length.py | {
"start": 155,
"end": 1503
} | 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 | Textualize__textual | docs/examples/how-to/center01.py | {
"start": 80,
"end": 350
} | class ____(App):
"""How to center things."""
CSS = """
Screen {
align: center middle;
}
"""
def compose(self) -> ComposeResult:
yield Static("Hello, World!")
if __name__ == "__main__":
app = CenterApp()
app.run()
| CenterApp |
python | apache__airflow | providers/fab/src/airflow/providers/fab/www/security/permissions.py | {
"start": 2568,
"end": 3698
} | class ____(TypedDict):
"""Details of a resource (actions and prefix)."""
actions: set[str]
prefix: str
# Keeping DAG_ACTIONS to keep the compatibility with outdated versions of FAB provider
DAG_ACTIONS = {ACTION_CAN_READ, ACTION_CAN_EDIT, ACTION_CAN_DELETE}
RESOURCE_DETAILS_MAP = {
RESOURCE_DAG: Res... | ResourceDetails |
python | oauthlib__oauthlib | oauthlib/oauth2/rfc6749/endpoints/revocation.py | {
"start": 438,
"end": 5212
} | class ____(BaseEndpoint):
"""Token revocation endpoint.
Endpoint used by authenticated clients to revoke access and refresh tokens.
Commonly this will be part of the Authorization Endpoint.
"""
valid_token_types = ('access_token', 'refresh_token')
valid_request_methods = ('POST',)
def __... | RevocationEndpoint |
python | pypa__packaging | src/packaging/licenses/__init__.py | {
"start": 1938,
"end": 5837
} | class ____(ValueError):
"""Raised when a license-expression string is invalid
>>> canonicalize_license_expression("invalid")
Traceback (most recent call last):
...
packaging.licenses.InvalidLicenseExpression: Invalid license expression: 'invalid'
"""
def canonicalize_license_expression(
... | InvalidLicenseExpression |
python | apache__airflow | providers/google/src/airflow/providers/google/marketing_platform/links/analytics_admin.py | {
"start": 1674,
"end": 2161
} | class ____(GoogleAnalyticsBaseLink):
"""Helper class for constructing Google Analytics Property Link."""
name = "Data Analytics Property"
key = "data_analytics_property"
format_str = "p{property_id}/"
@staticmethod
def persist(
context: Context,
property_id: str,
):
... | GoogleAnalyticsPropertyLink |
python | altair-viz__altair | altair/utils/core.py | {
"start": 27211,
"end": 31851
} | class ____:
channel_to_name: dict[type[SchemaBase], str]
name_to_channel: dict[str, dict[_ChannelType, type[SchemaBase]]]
@classmethod
def from_cache(cls) -> _ChannelCache:
global _CHANNEL_CACHE
try:
cached = _CHANNEL_CACHE
except NameError:
cached = cls.... | _ChannelCache |
python | mlflow__mlflow | tests/tracing/test_fluent.py | {
"start": 1793,
"end": 2259
} | class ____:
@mlflow.trace()
async def predict(self, x, y):
z = x + y
z = await self.add_one(z)
z = await mlflow.trace(self.square)(z)
return z # noqa: RET504
@mlflow.trace(span_type=SpanType.LLM, name="add_one_with_custom_name", attributes={"delta": 1})
async def add_on... | DefaultAsyncTestModel |
python | protocolbuffers__protobuf | python/google/protobuf/descriptor.py | {
"start": 10261,
"end": 17951
} | class ____(_NestedDescriptorBase):
"""Descriptor for a protocol message type.
Attributes:
name (str): Name of this protocol message type.
full_name (str): Fully-qualified name of this protocol message type, which
will include protocol "package" name and the name of any enclosing
types.
... | Descriptor |
python | plotly__plotly.py | plotly/graph_objs/histogram2d/_stream.py | {
"start": 233,
"end": 3531
} | class ____(_BaseTraceHierarchyType):
_parent_path_str = "histogram2d"
_path_str = "histogram2d.stream"
_valid_props = {"maxpoints", "token"}
@property
def maxpoints(self):
"""
Sets the maximum number of points to keep on the plots from an
incoming stream. If `maxpoints` is s... | Stream |
python | astropy__astropy | astropy/cosmology/_src/io/connect.py | {
"start": 9949,
"end": 12683
} | class ____(io_registry.UnifiedReadWrite):
"""Transform this Cosmology to another format.
This function provides the Cosmology interface to the astropy unified I/O
layer. This allows easily transforming to supported data formats
using syntax such as::
>>> from astropy.cosmology import Planck18
... | CosmologyToFormat |
python | Netflix__metaflow | metaflow/_vendor/click/parser.py | {
"start": 5916,
"end": 6075
} | class ____(object):
def __init__(self, rargs):
self.opts = {}
self.largs = []
self.rargs = rargs
self.order = []
| ParsingState |
python | pytorch__pytorch | torch/fx/graph.py | {
"start": 1553,
"end": 4553
} | class ____(NamedTuple):
"""Additional objs that we add to every graph's globals.
The repr() for some standard library objects is not valid Python code without
an import. For common objects of this sort, we bundle them in the globals of
every FX graph.
"""
# How to import this object from the s... | _CustomBuiltin |
python | kamyu104__LeetCode-Solutions | Python/find-the-maximum-achievable-number.py | {
"start": 38,
"end": 218
} | class ____(object):
def theMaximumAchievableX(self, num, t):
"""
:type num: int
:type t: int
:rtype: int
"""
return num+2*t
| Solution |
python | kamyu104__LeetCode-Solutions | Python/inorder-successor-in-bst.py | {
"start": 29,
"end": 623
} | class ____(object):
def inorderSuccessor(self, root, p):
"""
:type root: TreeNode
:type p: TreeNode
:rtype: TreeNode
"""
# If it has right subtree.
if p and p.right:
p = p.right
while p.left:
p = p.left
retur... | Solution |
python | apache__airflow | airflow-ctl/tests/airflow_ctl/api/test_operations.py | {
"start": 36692,
"end": 39251
} | class ____:
dag_id = "dag_id"
dag_run_id = "dag_run_id"
dag_run_response = DAGRunResponse(
dag_display_name=dag_run_id,
dag_run_id=dag_run_id,
dag_id=dag_id,
logical_date=datetime.datetime(2025, 1, 1, 0, 0, 0),
queued_at=datetime.datetime(2025, 1, 1, 0, 0, 0),
... | TestDagRunOperations |
python | getsentry__sentry | src/sentry/auth_v2/endpoints/auth_merge_user_accounts.py | {
"start": 717,
"end": 1044
} | class ____(CamelSnakeSerializer):
verification_code = serializers.CharField(required=True)
ids_to_merge = serializers.ListField(child=serializers.IntegerField(), required=True)
ids_to_delete = serializers.ListField(child=serializers.IntegerField(), required=True)
@control_silo_endpoint
| AuthMergeUserAccountsValidator |
python | getsentry__sentry | tests/sentry/integrations/github/test_client.py | {
"start": 68440,
"end": 71610
} | class ____(GitHubClientFileBlameBase):
"""
Tests that rate limits are handled correctly
"""
def setUp(self) -> None:
super().setUp()
self.file = SourceLineInfo(
path="src/sentry/integrations/github/client_1.py",
lineno=10,
ref="master",
re... | GitHubClientFileBlameRateLimitTest |
python | run-llama__llama_index | llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/oxylabs_web/base.py | {
"start": 697,
"end": 4848
} | class ____(BasePydanticReader):
"""
Scrape any website with Oxylabs Web Scraper API and get results in Markdown format.
[See the API documentation](https://developers.oxylabs.io/scraper-apis/web-scraper-api/other-websites)
Args:
username: Oxylabs API username.
password: Oxylabs API pas... | OxylabsWebReader |
python | EpistasisLab__tpot | tpot/builtin_modules/nn.py | {
"start": 9516,
"end": 11249
} | class ____(PytorchClassifier):
"""Multilayer Perceptron, implemented in PyTorch, for use with TPOT.
"""
def __init__(
self,
num_epochs=10,
batch_size=8,
learning_rate=0.01,
weight_decay=0,
verbose=False
):
self.num_epochs = num_epochs
self... | PytorchMLPClassifier |
python | pytorch__pytorch | .github/scripts/test_pytest_caching_utils.py | {
"start": 99,
"end": 3157
} | class ____(TestCase):
def test_merged_lastfailed_content_with_overlap(self) -> None:
last_failed_source = {
"tools/tests/test_foo.py::test_num1": True,
"tools/tests/test_foo.py::test_num2": True,
"tools/tests/test_bar.py::test_num1": True,
}
last_failed_de... | TestPytestCachingUtils |
python | PrefectHQ__prefect | tests/server/orchestration/test_core_policy.py | {
"start": 9285,
"end": 11552
} | class ____:
@pytest.mark.parametrize(
"initial_state_type",
[
states.StateType.SCHEDULED,
states.StateType.PENDING,
],
)
@pytest.mark.parametrize(
"proposed_state_type",
[
states.StateType.PENDING,
states.StateType.RUNNI... | TestCopyTaskParametersID |
python | walkccc__LeetCode | solutions/2457. Minimum Addition to Make Integer Beautiful/2457.py | {
"start": 0,
"end": 431
} | class ____:
def makeIntegerBeautiful(self, n: int, target: int) -> int:
ans = 0
power = 1
# e.g. n = 123. After tunning off the last bit by adding 7, n = 130.
# Effectively, we can think n as 13. That's why we do n = (n / 10) + 1.
while sum(map(int, str(n))) > target:
# the cost to turn off... | Solution |
python | explosion__spaCy | spacy/pipeline/span_ruler.py | {
"start": 3751,
"end": 18993
} | class ____(Pipe):
"""The SpanRuler lets you add spans to the `Doc.spans` using token-based
rules or exact phrase matches.
DOCS: https://spacy.io/api/spanruler
USAGE: https://spacy.io/usage/rule-based-matching#spanruler
"""
def __init__(
self,
nlp: Language,
name: str = ... | SpanRuler |
python | numba__numba | numba/tests/test_typeinfer.py | {
"start": 15987,
"end": 18310
} | class ____(unittest.TestCase):
"""
Tests for typing.Context.resolve_overload().
"""
def assert_resolve_overload(self, cases, args, expected):
ctx = typing.Context()
got = ctx.resolve_overload("foo", cases, args, {})
self.assertEqual(got, expected)
def test_non_ambiguous_mat... | TestResolveOverload |
python | google__pytype | pytype/tests/test_decorators2.py | {
"start": 4790,
"end": 9426
} | class ____(test_base.BaseTest):
"""Test decorators."""
def test_annotated_super_call_under_bad_decorator(self):
self.InferWithErrors("""
class Foo:
def Run(self) -> None: ...
class Bar(Foo):
@bad_decorator # name-error
def Run(self):
return super(Bar, self).Run()
... | DecoratorsTest |
python | facebook__pyre-check | api/query.py | {
"start": 1265,
"end": 1343
} | class ____:
type_name: str
start: Position
stop: Position
| Annotation |
python | pytorch__pytorch | test/mobile/test_lite_script_module.py | {
"start": 17846,
"end": 21217
} | class ____(QuantizationLiteTestCase):
def test_single_layer(self):
input = torch.rand(2, 5, dtype=torch.float)
quantized_model = self._create_quantized_model(
model_class=AnnotatedSingleLayerLinearModel, qengine="qnnpack"
)
self._compare_script_and_mobile(model=quantized_... | TestLiteScriptQuantizedModule |
python | redis__redis-py | redis/multidb/healthcheck.py | {
"start": 6128,
"end": 10025
} | class ____(HealthCheck):
"""
Health check available for Redis Enterprise deployments.
Verify via REST API that the database is healthy based on different lags.
"""
def __init__(
self,
rest_api_port: int = 9443,
lag_aware_tolerance: int = DEFAULT_LAG_AWARE_TOLERANCE,
... | LagAwareHealthCheck |
python | Lightning-AI__lightning | tests/tests_pytorch/core/test_datamodules.py | {
"start": 14022,
"end": 14201
} | class ____(LightningDataModule):
def __init__(self, arg0, arg1, kwarg0=None):
super().__init__()
self.save_hyperparameters()
# single arg
| DataModuleWithHparams_0 |
python | PrefectHQ__prefect | src/prefect/client/orchestration/_blocks_schemas/client.py | {
"start": 418,
"end": 3386
} | class ____(BaseClient):
def create_block_schema(self, block_schema: "BlockSchemaCreate") -> "BlockSchema":
"""
Create a block schema in the Prefect API.
"""
try:
response = self.request(
"POST",
"/block_schemas/",
json=block... | BlocksSchemaClient |
python | python__mypy | mypy/nodes.py | {
"start": 82749,
"end": 83196
} | class ____(Expression):
"""Dictionary literal expression {key: value, ...}."""
__slots__ = ("items",)
__match_args__ = ("items",)
items: list[tuple[Expression | None, Expression]]
def __init__(self, items: list[tuple[Expression | None, Expression]]) -> None:
super().__init__()
se... | DictExpr |
python | spyder-ide__spyder | spyder/plugins/outlineexplorer/main_widget.py | {
"start": 610,
"end": 708
} | class ____:
Main = 'main_section'
DisplayOptions = 'display_options'
| OutlineExplorerSections |
python | tensorflow__tensorflow | tensorflow/python/data/experimental/ops/readers.py | {
"start": 50365,
"end": 51606
} | class ____(dataset_ops.DatasetV1Adapter):
"""A `Dataset` consisting of the results from a SQL query."""
@functools.wraps(SqlDatasetV2.__init__)
def __init__(self, driver_name, data_source_name, query, output_types):
wrapped = SqlDatasetV2(driver_name, data_source_name, query, output_types)
super(SqlDatas... | SqlDatasetV1 |
python | ansible__ansible | lib/ansible/modules/apt_repository.py | {
"start": 15900,
"end": 30694
} | class ____(SourcesList):
# prefer api.launchpad.net over launchpad.net/api
# see: https://github.com/ansible/ansible/pull/81978#issuecomment-1767062178
LP_API = 'https://api.launchpad.net/1.0/~%s/+archive/%s'
PPA_URI = 'https://ppa.launchpadcontent.net'
def __init__(self, module):
self.mod... | UbuntuSourcesList |
python | MongoEngine__mongoengine | mongoengine/context_managers.py | {
"start": 5880,
"end": 12184
} | class ____:
"""Query_counter context manager to get the number of queries.
This works by updating the `profiling_level` of the database so that all queries get logged,
resetting the db.system.profile collection at the beginning of the context and counting the new entries.
This was designed for debuggin... | query_counter |
python | django__django | tests/filtered_relation/models.py | {
"start": 3053,
"end": 3382
} | class ____(models.Model):
book = models.ForeignKey(Book, models.CASCADE, related_name="daily_sales")
sale_date = models.DateField()
currency = models.ForeignKey(Currency, models.CASCADE)
seller = models.ForeignKey(Seller, models.CASCADE)
sales = models.DecimalField(max_digits=10, decimal_places=2)
| BookDailySales |
python | pyca__cryptography | src/cryptography/x509/base.py | {
"start": 3908,
"end": 3959
} | class ____(utils.Enum):
v1 = 0
v3 = 2
| Version |
python | microsoft__pyright | packages/pyright-internal/src/tests/samples/genericType38.py | {
"start": 363,
"end": 1048
} | class ____(Generic[_T]):
def __init__(self, _: ClassA[_T]): ...
v1 = ClassA(0)
v2 = ClassB(v1)
v3 = ClassB(ClassA(0))
reveal_type(v1, expected_text="ClassA[int]")
reveal_type(v2, expected_text="ClassB[int]")
reveal_type(v3, expected_text="ClassB[int]")
def func1(x: list[_T], /) -> list[_T]:
return x
def ... | ClassB |
python | tornadoweb__tornado | tornado/test/gen_test.py | {
"start": 18407,
"end": 18599
} | class ____(RequestHandler):
@gen.coroutine
def prepare(self):
yield gen.moment
raise HTTPError(403)
def get(self):
self.finish("ok")
| AsyncPrepareErrorHandler |
python | scipy__scipy | scipy/stats/_continuous_distns.py | {
"start": 73146,
"end": 74600
} | class ____(rv_continuous):
r"""A folded Cauchy continuous random variable.
%(before_notes)s
Notes
-----
The probability density function for `foldcauchy` is:
.. math::
f(x, c) = \frac{1}{\pi (1+(x-c)^2)} + \frac{1}{\pi (1+(x+c)^2)}
for :math:`x \ge 0` and :math:`c \ge 0`.
`... | foldcauchy_gen |
python | run-llama__llama_index | llama-index-integrations/readers/llama-index-readers-github/llama_index/readers/github/repository/event.py | {
"start": 1070,
"end": 1318
} | class ____(BaseEvent):
"""Event dispatched when file processing starts."""
file_path: str
file_type: str
@classmethod
def class_name(cls) -> str:
return "GitHubFileProcessingStartedEvent"
| GitHubFileProcessingStartedEvent |
python | apache__airflow | providers/google/src/airflow/providers/google/cloud/operators/cloud_storage_transfer_service.py | {
"start": 2562,
"end": 5394
} | class ____:
"""Helper class for preprocess of transfer job body."""
def __init__(
self, body: dict, aws_conn_id: str | None = "aws_default", default_schedule: bool = False
) -> None:
self.body = body
self.aws_conn_id = aws_conn_id
self.default_schedule = default_schedule
... | TransferJobPreprocessor |
python | boto__boto3 | tests/unit/resources/test_action.py | {
"start": 6076,
"end": 10141
} | class ____(BaseTestCase):
def setUp(self):
super().setUp()
self.action_def = {'request': {'operation': 'GetFrobs', 'params': []}}
@property
def model(self):
return Action('test', self.action_def, {})
def test_batch_action_gets_pages_from_collection(self):
collection = ... | TestBatchActionCall |
python | huggingface__transformers | src/transformers/models/phi4_multimodal/modular_phi4_multimodal.py | {
"start": 58903,
"end": 61775
} | class ____(nn.Module):
def __init__(self, config: Phi4MultimodalConfig):
super().__init__()
self.config = config
self.layer_idx = config.audio_config.feature_layer
self.drop = nn.Dropout(config.embd_pdrop)
self.encoder = Phi4MultimodalAudioModel._from_config(config.audio_con... | Phi4MultimodalAudioEmbedding |
python | apache__thrift | lib/py/test/test_sslsocket.py | {
"start": 1752,
"end": 3591
} | class ____(threading.Thread):
def __init__(self, server, expect_failure=False):
super(ServerAcceptor, self).__init__()
self.daemon = True
self._server = server
self._listening = threading.Event()
self._port = None
self._port_bound = threading.Event()
self._cli... | ServerAcceptor |
python | getsentry__sentry | tests/sentry/integrations/slack/webhooks/actions/test_enable_notifications.py | {
"start": 403,
"end": 4615
} | class ____(BaseEventTest):
def setUp(self) -> None:
super().setUp()
self.slack_id = "UXXXXXXX1"
self.team_id = "TXXXXXXX1"
def test_enable_all_slack_no_identity(self) -> None:
with assume_test_silo_mode(SiloMode.CONTROL):
Identity.objects.delete_identity(
... | EnableNotificationsActionTest |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-twilio/components.py | {
"start": 2917,
"end": 3881
} | class ____(StateMigration):
"""
Migrates legacy `alerts` state to low-code shape. Previously, the stream incorrectly used per partition state.
Initial:
{
"states" : [
{
"partition" : {},
"cursor" : {
"date_generated" : "2025-08-05T16:43:50Z"
... | TwilioAlertsStateMigration |
python | pytorch__pytorch | test/distributed/fsdp/test_fsdp_core.py | {
"start": 14699,
"end": 16200
} | class ____(FSDPTest):
@skip_if_lt_x_gpu(2)
@parametrize("mixed_precision", [True, False])
def test_transformer_no_grad(self, mixed_precision):
"""Tests that for an FSDP-wrapped transformer model with shared
parameters, after training for one iteration, running a forward pass in
``eva... | TestNoGrad |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-github/source_github/github_schema.py | {
"start": 1070295,
"end": 1082840
} | class ____(sgqlc.types.Type, Node):
"""A branch protection rule."""
__schema__ = github_schema
__field_names__ = (
"allows_deletions",
"allows_force_pushes",
"blocks_creations",
"branch_protection_rule_conflicts",
"bypass_force_push_allowances",
"bypass_pull_... | BranchProtectionRule |
python | apache__airflow | providers/google/src/airflow/providers/google/cloud/operators/dataflow.py | {
"start": 30294,
"end": 38385
} | class ____(GoogleCloudBaseOperator):
"""
Launch a Dataflow YAML job and return the result.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:DataflowStartYamlJobOperator`
.. warning::
This operator requires ``gcloud`` ... | DataflowStartYamlJobOperator |
python | pyqtgraph__pyqtgraph | pyqtgraph/graphicsItems/DateAxisItem.py | {
"start": 2639,
"end": 4587
} | class ____:
""" Specifies the properties for a set of date ticks and computes ticks
within a given utc timestamp range """
def __init__(self, spacing, stepper, format, autoSkip=None):
"""
============= ==========================================================
Arguments
spaci... | TickSpec |
python | pytest-dev__pytest | src/_pytest/outcomes.py | {
"start": 1870,
"end": 1990
} | class ____(OutcomeException):
"""Raised from an explicit call to pytest.fail()."""
__module__ = "builtins"
| Failed |
python | google__pytype | pytype/tests/test_cmp2.py | {
"start": 2727,
"end": 3385
} | class ____(test_base.BaseTest):
"""Tests comparisons on class objects with a custom metaclass."""
def test_compare_types(self):
# See b/205755440 - this is the wrong error message to be raising, and the
# test should fail once the bug is fixed. For now we test that we don't
# crash due to b/205333186.
... | MetaclassTest |
python | openai__openai-python | src/openai/types/responses/input_token_count_response.py | {
"start": 200,
"end": 310
} | class ____(BaseModel):
input_tokens: int
object: Literal["response.input_tokens"]
| InputTokenCountResponse |
python | tiangolo__fastapi | tests/test_union_forms.py | {
"start": 192,
"end": 250
} | class ____(BaseModel):
name: str
email: str
| UserForm |
python | chroma-core__chroma | chromadb/utils/embedding_functions/bm25_embedding_function.py | {
"start": 464,
"end": 8321
} | class ____(SparseEmbeddingFunction[Documents]):
def __init__(
self,
avg_len: Optional[float] = None,
task: Optional[TaskType] = "document",
cache_dir: Optional[str] = None,
k: Optional[float] = None,
b: Optional[float] = None,
language: Optional[str] = None,
... | Bm25EmbeddingFunction |
python | catalyst-team__catalyst | tests/catalyst/runners/test_reid.py | {
"start": 1863,
"end": 5789
} | class ____(dl.SupervisedRunner):
"""ReidCustomRunner for reid case"""
def handle_batch(self, batch: Dict[str, torch.Tensor]) -> None:
"""
Process batch
Args:
batch: batch data
"""
if self.is_train_loader:
images, targets = batch["features"].float... | ReIDCustomRunner |
python | pennersr__django-allauth | allauth/socialaccount/providers/twitch/views.py | {
"start": 280,
"end": 1600
} | class ____(OAuth2Adapter):
provider_id = "twitch"
access_token_url = "https://id.twitch.tv/oauth2/token" # nosec
authorize_url = "https://id.twitch.tv/oauth2/authorize"
profile_url = "https://api.twitch.tv/helix/users"
def complete_login(self, request, app, token, **kwargs):
headers = {
... | TwitchOAuth2Adapter |
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