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 | mahmoud__boltons | boltons/tableutils.py | {
"start": 6314,
"end": 6740
} | class ____(InputType):
def check_type(self, obj):
return hasattr(obj, '_fields') and isinstance(obj, tuple)
def guess_headers(self, obj):
return list(obj._fields)
def get_entry(self, obj, headers):
return [getattr(obj, h, None) for h in headers]
def get_entry_seq(self, obj_seq... | NamedTupleInputType |
python | milvus-io__pymilvus | pymilvus/orm/iterator.py | {
"start": 17074,
"end": 31202
} | class ____:
def __init__(
self,
connection: Connections,
collection_name: str,
data: Union[List, utils.SparseMatrixInputType],
ann_field: str,
param: Dict,
batch_size: Optional[int] = 1000,
limit: Optional[int] = UNLIMITED,
expr: Optional[str] ... | SearchIterator |
python | protocolbuffers__protobuf | python/google/protobuf/internal/field_mask.py | {
"start": 362,
"end": 5322
} | class ____(object):
"""Class for FieldMask message type."""
__slots__ = ()
def ToJsonString(self):
"""Converts FieldMask to string according to ProtoJSON spec."""
camelcase_paths = []
for path in self.paths:
camelcase_paths.append(_SnakeCaseToCamelCase(path))
return ','.join(camelcase_path... | FieldMask |
python | numba__numba | numba/core/datamodel/packer.py | {
"start": 1915,
"end": 4973
} | class ____(object):
"""
Compute the position for each high-level typed argument.
It flattens every composite argument into primitive types.
It maintains a position map for unflattening the arguments.
Since struct (esp. nested struct) have specific ABI requirements (e.g.
alignment, pointer addre... | ArgPacker |
python | PrefectHQ__prefect | src/integrations/prefect-github/prefect_github/schemas/graphql_schema.py | {
"start": 362534,
"end": 363121
} | class ____(sgqlc.types.relay.Connection):
"""
See source code for more info.
"""
__schema__ = graphql_schema
__field_names__ = ("edges", "nodes", "page_info", "total_count")
edges = sgqlc.types.Field(sgqlc.types.list_of("LabelEdge"), graphql_name="edges")
nodes = sgqlc.types.Field(sgqlc.typ... | LabelConnection |
python | scikit-learn__scikit-learn | sklearn/externals/array_api_extra/_lib/_at.py | {
"start": 1243,
"end": 15327
} | class ____: # pylint: disable=invalid-name # numpydoc ignore=PR02
"""
Update operations for read-only arrays.
This implements ``jax.numpy.ndarray.at`` for all writeable
backends (those that support ``__setitem__``) and routes
to the ``.at[]`` method for JAX arrays.
Parameters
----------
... | at |
python | qdrant__qdrant-client | qdrant_client/http/models/models.py | {
"start": 43562,
"end": 43611
} | class ____(str, Enum):
GEO = "geo"
| GeoIndexType |
python | Textualize__textual | src/textual/_log.py | {
"start": 24,
"end": 298
} | class ____(Enum):
"""A log group is a classification of the log message (*not* a level)."""
UNDEFINED = 0 # Mainly for testing
EVENT = 1
DEBUG = 2
INFO = 3
WARNING = 4
ERROR = 5
PRINT = 6
SYSTEM = 7
LOGGING = 8
WORKER = 9
| LogGroup |
python | getsentry__sentry | src/sentry/utils/snuba.py | {
"start": 13788,
"end": 14432
} | class ____(SnubaError):
"""
Exception raised when a query cannot be executed due to rate limits.
"""
def __init__(
self,
message: str | None = None,
policy: str | None = None,
quota_unit: str | None = None,
storage_key: str | None = None,
quota_used: int ... | RateLimitExceeded |
python | sympy__sympy | sympy/testing/runtests.py | {
"start": 3263,
"end": 40429
} | class ____(Exception):
pass
def _indent(s, indent=4):
"""
Add the given number of space characters to the beginning of
every non-blank line in ``s``, and return the result.
If the string ``s`` is Unicode, it is encoded using the stdout
encoding and the ``backslashreplace`` error handler.
"... | DependencyError |
python | celery__celery | t/unit/tasks/test_result.py | {
"start": 31306,
"end": 32044
} | class ____:
def setup_method(self):
self.size = 11
self.app.conf.result_serializer = 'pickle'
results = make_mock_group(self.app, 10)
failed = mock_task('ts11', states.FAILURE, KeyError('Baz'))
save_result(self.app, failed)
failed_res = self.app.AsyncResult(failed['i... | test_failed_AsyncResult |
python | charliermarsh__ruff | crates/ruff_linter/resources/test/fixtures/ruff/RUF009.py | {
"start": 3150,
"end": 3248
} | class ____:
c: C = C()
# https://github.com/astral-sh/ruff/issues/20266
@dataclass(frozen=True)
| E |
python | sympy__sympy | sympy/physics/control/lti.py | {
"start": 61768,
"end": 78651
} | class ____(TransferFunctionBase):
r"""
A class for representing LTI (Linear, time-invariant) systems that can be
strictly described by ratio of polynomials in the z-transform complex
variable.
The arguments are ``num``, ``den``, ``var``, and ``sampling_time``,
where ``num`` and ``den`` are numer... | DiscreteTransferFunction |
python | sanic-org__sanic | sanic/cli/arguments.py | {
"start": 5121,
"end": 6146
} | class ____(Group):
name = "TLS certificate"
def attach(self):
self.container.add_argument(
"--cert",
dest="cert",
type=str,
help="Location of fullchain.pem, bundle.crt or equivalent",
)
self.container.add_argument(
"--key",
... | TLSGroup |
python | jazzband__django-oauth-toolkit | tests/test_application_views.py | {
"start": 700,
"end": 2822
} | class ____(BaseTest):
@pytest.mark.oauth2_settings({"APPLICATION_MODEL": "tests.SampleApplication"})
def test_get_form_class(self):
"""
Tests that the form class returned by the "get_form_class" method is
bound to custom application model defined in the
"OAUTH2_PROVIDER_APPLICATI... | TestApplicationRegistrationView |
python | getsentry__sentry | src/sentry/rules/match.py | {
"start": 87,
"end": 3132
} | class ____(StrEnum):
CONTAINS = "co"
ENDS_WITH = "ew"
EQUAL = "eq"
GREATER_OR_EQUAL = "gte"
GREATER = "gt"
IS_SET = "is"
IS_IN = "in"
LESS_OR_EQUAL = "lte"
LESS = "lt"
NOT_CONTAINS = "nc"
NOT_ENDS_WITH = "new"
NOT_EQUAL = "ne"
NOT_SET = "ns"
NOT_STARTS_WITH = "nsw... | MatchType |
python | tensorflow__tensorflow | tensorflow/python/kernel_tests/linalg/linear_operator_permutation_test.py | {
"start": 1465,
"end": 4107
} | class ____(
linear_operator_test_util.SquareLinearOperatorDerivedClassTest):
"""Most tests done in the base class LinearOperatorDerivedClassTest."""
def tearDown(self):
config.enable_tensor_float_32_execution(self.tf32_keep_)
def setUp(self):
self.tf32_keep_ = config.tensor_float_32_execution_enable... | LinearOperatorPermutationTest |
python | prompt-toolkit__python-prompt-toolkit | src/prompt_toolkit/clipboard/base.py | {
"start": 304,
"end": 622
} | class ____:
"""
Text on the clipboard.
:param text: string
:param type: :class:`~prompt_toolkit.selection.SelectionType`
"""
def __init__(
self, text: str = "", type: SelectionType = SelectionType.CHARACTERS
) -> None:
self.text = text
self.type = type
| ClipboardData |
python | tensorflow__tensorflow | tensorflow/python/ops/custom_gradient.py | {
"start": 11930,
"end": 30651
} | class ____:
"""When called evaluates `d(f, args, kwargs)` but supports binding `f`.
>>> @Bind.decorator
... def my_decorator(f, args, kwargs):
... print("my_decorator called with", args, kwargs)
... return f(*args, **kwargs)
>>> class Foo:
... @my_decorator
... def bar(self, a, b, c):
... ... | Bind |
python | ray-project__ray | rllib/connectors/agent/state_buffer.py | {
"start": 694,
"end": 4361
} | class ____(AgentConnector):
def __init__(self, ctx: ConnectorContext, states: Any = None):
super().__init__(ctx)
self._initial_states = ctx.initial_states
self._action_space_struct = get_base_struct_from_space(ctx.action_space)
self._states = defaultdict(lambda: defaultdict(lambda:... | StateBufferConnector |
python | kamyu104__LeetCode-Solutions | Python/path-with-minimum-effort.py | {
"start": 2130,
"end": 3199
} | class ____(object):
def minimumEffortPath(self, heights):
"""
:type heights: List[List[int]]
:rtype: int
"""
def index(n, i, j):
return i*n + j
diffs = []
for i in xrange(len(heights)):
for j in xrange(len(heights[0])):
... | Solution2 |
python | openai__openai-python | src/openai/types/beta/threads/file_citation_delta_annotation.py | {
"start": 451,
"end": 873
} | class ____(BaseModel):
index: int
"""The index of the annotation in the text content part."""
type: Literal["file_citation"]
"""Always `file_citation`."""
end_index: Optional[int] = None
file_citation: Optional[FileCitation] = None
start_index: Optional[int] = None
text: Optional[st... | FileCitationDeltaAnnotation |
python | sympy__sympy | sympy/utilities/codegen.py | {
"start": 39217,
"end": 39267
} | class ____(CCodeGen):
standard = 'C89'
| C89CodeGen |
python | apache__airflow | providers/google/src/airflow/providers/google/cloud/operators/datacatalog.py | {
"start": 52963,
"end": 57171
} | class ____(GoogleCloudBaseOperator):
"""
Gets an entry group.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:CloudDataCatalogGetEntryGroupOperator`
:param location: Required. The location of the entry group to get.
:par... | CloudDataCatalogGetEntryGroupOperator |
python | openai__openai-python | src/openai/_types.py | {
"start": 3132,
"end": 3404
} | class ____(TypedDict, total=False):
headers: Headers
max_retries: int
timeout: float | Timeout | None
params: Query
extra_json: AnyMapping
idempotency_key: str
follow_redirects: bool
# Sentinel class used until PEP 0661 is accepted
| RequestOptions |
python | doocs__leetcode | solution/2200-2299/2285.Maximum Total Importance of Roads/Solution.py | {
"start": 0,
"end": 260
} | class ____:
def maximumImportance(self, n: int, roads: List[List[int]]) -> int:
deg = [0] * n
for a, b in roads:
deg[a] += 1
deg[b] += 1
deg.sort()
return sum(i * v for i, v in enumerate(deg, 1))
| Solution |
python | apache__airflow | providers/google/tests/unit/google/cloud/operators/test_kubernetes_engine.py | {
"start": 3744,
"end": 6275
} | class ____:
@pytest.mark.parametrize(
(
"use_dns_endpoint",
"use_internal_ip",
"endpoint",
"private_endpoint",
"dns_endpoint",
"expected_cluster_url",
),
[
(
False,
False,
... | TestGKEClusterAuthDetails |
python | pypa__setuptools | setuptools/warnings.py | {
"start": 3084,
"end": 3420
} | class ____(SetuptoolsWarning):
"""Currently there is no clear way of displaying messages to the users
that use the setuptools backend directly via ``pip``.
The only thing that might work is a warning, although it is not the
most appropriate tool for the job...
See pypa/packaging-problems#558.
"... | InformationOnly |
python | pytorch__pytorch | torch/_guards.py | {
"start": 40308,
"end": 43828
} | class ____(Source):
base: Source
def is_dict_key(self) -> bool:
# Recurse until you either hit a ConstDictKey or a Source
return self.base.is_dict_key()
def is_ephemeral(self) -> bool:
return self.base.is_ephemeral()
def get_base(self) -> Source:
current: Source = self... | ChainedSource |
python | qdrant__qdrant-client | qdrant_client/http/api_client.py | {
"start": 1284,
"end": 2016
} | class ____(Generic[AsyncClientT]):
def __init__(self, host: str, **kwargs: Any):
self.client = AsyncApiClient(host, **kwargs)
self.aliases_api = AsyncAliasesApi(self.client)
self.beta_api = AsyncBetaApi(self.client)
self.collections_api = AsyncCollectionsApi(self.client)
sel... | AsyncApis |
python | langchain-ai__langchain | libs/core/tests/unit_tests/output_parsers/test_openai_tools.py | {
"start": 22610,
"end": 22683
} | class ____(BaseModel):
age: int
hair_color: str
job: str
| Person |
python | tensorflow__tensorflow | tensorflow/tools/ci_build/osx/arm64/tensorflow_metal_plugin_test.py | {
"start": 140262,
"end": 141897
} | class ____(test.TestCase):
def _tf_reduce(self, x, reduction_axes, keepdims):
raise NotImplementedError()
def _np_reduce(self, x, reduction_axes, keepdims):
raise NotImplementedError()
def _makeIncremental(self, shape, dtype):
data = np.arange(np.prod(shape)).reshape(shape).astype(dtype.as_numpy_dt... | BaseReductionTest |
python | pytorch__pytorch | torch/_dynamo/debug_utils.py | {
"start": 4534,
"end": 11074
} | class ____:
safe_reprs = [
torch.nn.Linear,
torch.nn.Conv1d,
torch.nn.Conv2d,
torch.nn.Conv3d,
torch.nn.BatchNorm1d,
torch.nn.BatchNorm2d,
torch.nn.BatchNorm3d,
torch.nn.LayerNorm,
torch.nn.Dropout,
torch.nn.Softmax,
torch.nn.Re... | NNModuleToString |
python | getsentry__sentry | src/sentry/api/serializers/models/project_template.py | {
"start": 832,
"end": 2496
} | class ____(Serializer):
def __init__(self, expand: Iterable[ProjectTemplateAttributes] | None = None) -> None:
self.expand = expand
def _expand(self, key: ProjectTemplateAttributes) -> bool:
return self.expand is not None and key in self.expand
def get_attrs(
self,
item_lis... | ProjectTemplateSerializer |
python | django__django | django/contrib/gis/gdal/driver.py | {
"start": 309,
"end": 3154
} | class ____(GDALBase):
"""
Wrap a GDAL/OGR Data Source Driver.
For more information, see the C API documentation:
https://gdal.org/api/vector_c_api.html
https://gdal.org/api/raster_c_api.html
"""
# Case-insensitive aliases for some GDAL/OGR Drivers.
# For a complete list of original driv... | Driver |
python | huggingface__transformers | src/transformers/models/mask2former/modeling_mask2former.py | {
"start": 3230,
"end": 5334
} | class ____(BaseModelOutputWithCrossAttentions):
r"""
hidden_states (`tuple(torch.FloatTensor)`, *optional*):
Tuple of `torch.FloatTensor` (one for the output of the embeddings + one for the output of each layer) of
shape `(batch_size, sequence_length, hidden_size)`. Hidden-states of the model at... | Mask2FormerMaskedAttentionDecoderOutput |
python | google__pytype | pytype/pattern_matching.py | {
"start": 7888,
"end": 9137
} | class ____:
"""Tracks branches of match statements."""
def __init__(self, ast_matches):
self.start_to_end = {} # match_line : match_end_line
self.end_to_starts = collections.defaultdict(list)
self.match_cases = {} # opcode_line : match_line
self.defaults = set() # lines with defaults
self.as... | _Matches |
python | cython__cython | Cython/Tests/TestCythonUtils.py | {
"start": 383,
"end": 471
} | class ____:
@cached_method
def cached_next(self, x):
return next(x)
| Cached |
python | ray-project__ray | python/ray/serve/_private/application_state.py | {
"start": 7679,
"end": 44357
} | class ____:
"""Manage single application states with all operations"""
def __init__(
self,
name: str,
deployment_state_manager: DeploymentStateManager,
autoscaling_state_manager: AutoscalingStateManager,
endpoint_state: EndpointState,
logging_config: LoggingConfi... | ApplicationState |
python | langchain-ai__langchain | libs/langchain/langchain_classic/chains/combine_documents/reduce.py | {
"start": 433,
"end": 643
} | class ____(Protocol):
"""Interface for the combine_docs method."""
def __call__(self, docs: list[Document], **kwargs: Any) -> str:
"""Interface for the combine_docs method."""
| CombineDocsProtocol |
python | apache__airflow | airflow-core/src/airflow/api_fastapi/execution_api/datamodels/dagrun.py | {
"start": 1245,
"end": 1352
} | class ____(BaseModel):
"""Schema for DAG Run State response."""
state: DagRunState
| DagRunStateResponse |
python | gevent__gevent | src/gevent/ssl.py | {
"start": 7469,
"end": 34772
} | class ____(socket):
"""
gevent `ssl.SSLSocket
<https://docs.python.org/3/library/ssl.html#ssl-sockets>`_ for
Python 3.
"""
# pylint:disable=too-many-instance-attributes,too-many-public-methods
def __init__(self, sock=None, keyfile=None, certfile=None,
server_side=False, ce... | SSLSocket |
python | streamlit__streamlit | lib/tests/streamlit/elements/progress_test.py | {
"start": 888,
"end": 4003
} | class ____(DeltaGeneratorTestCase):
"""Test DeltaGenerator Progress."""
def test_progress_int(self):
"""Test Progress with int values."""
values = [0, 42, 100]
for value in values:
st.progress(value)
element = self.get_delta_from_queue().new_element
... | DeltaGeneratorProgressTest |
python | pypa__setuptools | setuptools/_distutils/errors.py | {
"start": 1297,
"end": 1458
} | class ____(DistutilsError):
"""Raised by fancy_getopt in response to getopt.error -- ie. an
error in the command line usage."""
pass
| DistutilsArgError |
python | sympy__sympy | sympy/stats/stochastic_process_types.py | {
"start": 65766,
"end": 73026
} | class ____:
"""
Internal class to handle the queries of expectation and probability
by substitution.
"""
@staticmethod
def _rvindexed_subs(expr, condition=None):
"""
Substitutes the RandomIndexedSymbol with the RandomSymbol with
same name, distribution and probability as... | _SubstituteRV |
python | pyca__cryptography | tests/test_cryptography_utils.py | {
"start": 256,
"end": 1667
} | class ____:
def test_simple(self):
class T:
@utils.cached_property
def t(self):
accesses.append(None)
return 14
accesses: typing.List[typing.Optional[T]] = []
assert T.t
t = T()
assert t.t == 14
assert len(acce... | TestCachedProperty |
python | huggingface__transformers | src/transformers/models/siglip/modeling_siglip.py | {
"start": 28166,
"end": 36291
} | class ____(SiglipPreTrainedModel):
config: SiglipConfig
def __init__(self, config: SiglipConfig):
super().__init__(config)
if not isinstance(config.text_config, SiglipTextConfig):
raise TypeError(
"config.text_config is expected to be of type SiglipTextConfig but is... | SiglipModel |
python | pypa__warehouse | warehouse/events/tags.py | {
"start": 1262,
"end": 9074
} | class ____:
class Account(EventTagEnum):
"""Tags for User events."""
# Name = "source_type:subject_type:action"
APITokenAdded = "account:api_token:added"
APITokenRemoved = "account:api_token:removed"
APITokenRemovedLeak = "account:api_token:removed_leak"
AccountCreat... | EventTag |
python | getsentry__sentry | src/sentry/notifications/platform/types.py | {
"start": 6576,
"end": 6753
} | class ____(NotificationBodyFormattingBlock):
type: Literal[NotificationBodyFormattingBlockType.PARAGRAPH]
blocks: list[NotificationBodyTextBlock]
@dataclass
| ParagraphBlock |
python | kamyu104__LeetCode-Solutions | Python/maximum-of-absolute-value-expression.py | {
"start": 29,
"end": 1254
} | class ____(object):
def maxAbsValExpr(self, arr1, arr2):
"""
:type arr1: List[int]
:type arr2: List[int]
:rtype: int
"""
# 1. max(|arr1[i]-arr1[j]| + |arr2[i]-arr2[j]| + |i-j| for i > j)
# = max(|arr1[i]-arr1[j]| + |arr2[i]-arr2[j]| + |i-j| for j > i)
... | Solution |
python | doocs__leetcode | lcof/面试题33. 二叉搜索树的后序遍历序列/Solution2.py | {
"start": 0,
"end": 313
} | class ____:
def verifyPostorder(self, postorder: List[int]) -> bool:
mx = inf
stk = []
for x in postorder[::-1]:
if x > mx:
return False
while stk and stk[-1] > x:
mx = stk.pop()
stk.append(x)
return True
| Solution |
python | python__mypy | mypy/checker.py | {
"start": 375034,
"end": 377844
} | class ____(SemanticAnalyzerCoreInterface):
"""
Adapts TypeChecker to the SemanticAnalyzerCoreInterface,
allowing most type expressions to be parsed during the TypeChecker pass.
See ExpressionChecker.try_parse_as_type_expression() to understand how this
class is used.
"""
_chk: TypeChecker
... | TypeCheckerAsSemanticAnalyzer |
python | django__django | tests/sitemaps_tests/test_https.py | {
"start": 1479,
"end": 2929
} | class ____(SitemapTestsBase):
extra = {"wsgi.url_scheme": "https"}
def test_sitemap_index_with_https_request(self):
"A sitemap index requested in HTTPS is rendered with HTTPS links"
response = self.client.get("/simple/index.xml", **self.extra)
expected_content = """<?xml version="1.0" e... | HTTPSDetectionSitemapTests |
python | huggingface__transformers | tests/models/mbart/test_modeling_mbart.py | {
"start": 7965,
"end": 15261
} | class ____(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixin, unittest.TestCase):
all_model_classes = (
(MBartModel, MBartForConditionalGeneration, MBartForSequenceClassification, MBartForQuestionAnswering)
if is_torch_available()
else ()
)
pipeline_model_mapping = (
... | MBartModelTest |
python | matplotlib__matplotlib | galleries/examples/user_interfaces/embedding_webagg_sgskip.py | {
"start": 3505,
"end": 8988
} | class ____(tornado.web.Application):
class MainPage(tornado.web.RequestHandler):
"""
Serves the main HTML page.
"""
def get(self):
manager = self.application.manager
ws_uri = f"ws://{self.request.host}/"
content = html_content % {
... | MyApplication |
python | dagster-io__dagster | python_modules/dagster/dagster/_core/definitions/partitions/snap/snap.py | {
"start": 7731,
"end": 7993
} | class ____:
name: str
partitions: PartitionsSnap
@whitelist_for_serdes(
storage_name="ExternalMultiPartitionsDefinitionData",
storage_field_names={"partition_dimensions": "external_partition_dimension_definitions"},
)
@record
| PartitionDimensionSnap |
python | huggingface__transformers | src/transformers/models/xlm_roberta/modeling_xlm_roberta.py | {
"start": 50356,
"end": 53961
} | class ____(XLMRobertaPreTrainedModel):
def __init__(self, config):
super().__init__(config)
self.num_labels = config.num_labels
self.qa_outputs = nn.Linear(config.hidden_size, config.num_labels)
self.roberta = XLMRobertaModel(config, add_pooling_layer=False)
# Initialize we... | XLMRobertaForQuestionAnswering |
python | matplotlib__matplotlib | lib/matplotlib/ticker.py | {
"start": 47952,
"end": 55526
} | class ____(ScalarFormatter):
"""
Format axis values using engineering prefixes to represent powers
of 1000, plus a specified unit, e.g., 10 MHz instead of 1e7.
"""
# The SI engineering prefixes
ENG_PREFIXES = {
-30: "q",
-27: "r",
-24: "y",
-21: "z",
-18:... | EngFormatter |
python | django__django | tests/builtin_server/tests.py | {
"start": 5667,
"end": 6198
} | class ____(TestCase):
"""
The ServerHandler chunks data properly.
Tests for #18972: The logic that performs the math to break data into
32MB (MAX_SOCKET_CHUNK_SIZE) chunks was flawed, BUT it didn't actually
cause any problems.
"""
def test_chunked_data(self):
env = {"SERVER_PROTOCO... | ServerHandlerChunksProperly |
python | wandb__wandb | wandb/sdk/artifacts/_generated/fragments.py | {
"start": 3861,
"end": 3945
} | class ____(GQLResult):
file: DeferredManifestFragmentFile
| DeferredManifestFragment |
python | plotly__plotly.py | plotly/graph_objs/bar/_error_y.py | {
"start": 233,
"end": 14355
} | class ____(_BaseTraceHierarchyType):
_parent_path_str = "bar"
_path_str = "bar.error_y"
_valid_props = {
"array",
"arrayminus",
"arrayminussrc",
"arraysrc",
"color",
"symmetric",
"thickness",
"traceref",
"tracerefminus",
"type",... | ErrorY |
python | pytorch__pytorch | test/ao/sparsity/test_structured_sparsifier.py | {
"start": 2142,
"end": 4963
} | class ____(TestCase):
def test_saliency_pruner_update_mask(self):
"""Test that we prune out the row with the lowest saliency (first row)"""
model = SimpleLinear()
with torch.no_grad():
model.linear1.weight = nn.Parameter(
torch.Tensor([[1, 1, 1, 1], [2, 2, 2, 2], ... | TestSaliencyPruner |
python | django__django | tests/invalid_models_tests/test_ordinary_fields.py | {
"start": 36780,
"end": 37728
} | class ____(TestCase):
def test_choices_named_group(self):
class Model(models.Model):
field = models.UUIDField(
choices=[
[
"knights",
[
[
uuid.UUID("5c8... | UUIDFieldTests |
python | getsentry__sentry | fixtures/sudo_testutils.py | {
"start": 426,
"end": 496
} | class ____(StubPasswordBackend):
password = "foo"
| FooPasswordBackend |
python | sqlalchemy__sqlalchemy | lib/sqlalchemy/dialects/postgresql/psycopg.py | {
"start": 11196,
"end": 20203
} | class ____(_PGDialect_common_psycopg):
driver = "psycopg"
supports_statement_cache = True
supports_server_side_cursors = True
default_paramstyle = "pyformat"
supports_sane_multi_rowcount = True
execution_ctx_cls = PGExecutionContext_psycopg
statement_compiler = PGCompiler_psycopg
prepa... | PGDialect_psycopg |
python | tensorflow__tensorflow | tensorflow/python/distribute/input_lib_test.py | {
"start": 66581,
"end": 76630
} | class ____(DistributedIteratorTestBase,
parameterized.TestCase):
"""Tests for PER_WORKER and PER_REPLICA's InputOptions variants."""
@combinations.generate(
combinations.combine(
input_options=[
distribute_lib.InputOptions(
expe... | DistributedIteratorPerDeviceTest |
python | python-attrs__attrs | src/attr/_make.py | {
"start": 94233,
"end": 101670
} | class ____:
"""
Stores a converter callable.
Allows for the wrapped converter to take additional arguments. The
arguments are passed in the order they are documented.
Args:
converter (Callable): A callable that converts the passed value.
takes_self (bool):
Pass the par... | Converter |
python | dagster-io__dagster | helm/dagster/schema/schema/charts/dagster/subschema/global_.py | {
"start": 33,
"end": 203
} | class ____(BaseModel):
postgresqlSecretName: str
dagsterHome: str
serviceAccountName: str
celeryConfigSecretName: str
dagsterInstanceConfigMap: str
| Global |
python | django__django | django/contrib/gis/db/models/lookups.py | {
"start": 8368,
"end": 8428
} | class ____(GISLookup):
lookup_name = "within"
| WithinLookup |
python | kamyu104__LeetCode-Solutions | Python/minimum-operations-to-make-the-array-increasing.py | {
"start": 29,
"end": 387
} | class ____(object):
def minOperations(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
result = prev = 0
for curr in nums:
if prev < curr:
prev = curr
continue
prev += 1
result += prev-curr ... | Solution |
python | plotly__plotly.py | plotly/graph_objs/histogram2dcontour/legendgrouptitle/_font.py | {
"start": 233,
"end": 9982
} | class ____(_BaseTraceHierarchyType):
_parent_path_str = "histogram2dcontour.legendgrouptitle"
_path_str = "histogram2dcontour.legendgrouptitle.font"
_valid_props = {
"color",
"family",
"lineposition",
"shadow",
"size",
"style",
"textcase",
"var... | Font |
python | django-haystack__django-haystack | haystack/exceptions.py | {
"start": 916,
"end": 1028
} | class ____(HaystackError):
"Raised when incorrect arguments have been provided for stats"
pass
| StatsError |
python | altair-viz__altair | altair/vegalite/v6/schema/core.py | {
"start": 1180789,
"end": 1180988
} | class ____(VegaLiteSchema):
"""ShapeDef schema wrapper."""
_schema = {"$ref": "#/definitions/ShapeDef"}
def __init__(self, *args, **kwds):
super().__init__(*args, **kwds)
| ShapeDef |
python | lazyprogrammer__machine_learning_examples | nlp_class2/recursive_theano.py | {
"start": 1016,
"end": 9927
} | class ____:
def __init__(self, V, D, K):
self.V = V
self.D = D
self.K = K
def fit(self, trees, learning_rate=3*1e-3, mu=0.99, reg=1e-4, epochs=15, activation=T.nnet.relu, train_inner_nodes=False):
D = self.D
V = self.V
K = self.K
self.f = activation
... | RecursiveNN |
python | jmcnamara__XlsxWriter | xlsxwriter/test/comparison/test_chart_bar24.py | {
"start": 315,
"end": 1316
} | class ____(ExcelComparisonTest):
"""
Test file created by XlsxWriter against a file created by Excel.
"""
def setUp(self):
self.set_filename("chart_bar24.xlsx")
self.ignore_elements = {"xl/workbook.xml": ["<fileVersion", "<calcPr"]}
def test_create_file(self):
"""Test the... | TestCompareXLSXFiles |
python | sqlalchemy__sqlalchemy | test/dialect/postgresql/test_reflection.py | {
"start": 4733,
"end": 7303
} | class ____(fixtures.TablesTest, AssertsExecutionResults):
# partitioned table reflection, issue #4237
__only_on__ = "postgresql >= 10"
__sparse_driver_backend__ = True
@classmethod
def define_tables(cls, metadata):
# the actual function isn't reflected yet
dv = Table(
"... | PartitionedReflectionTest |
python | huggingface__transformers | tests/utils/test_modeling_utils.py | {
"start": 132425,
"end": 135370
} | class ____(TestCasePlus):
"""
This test checks that a model can be saved and loaded that uses the torch extra state API.
https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module.get_extra_state.
Currently, only tensor-valued extra_states are supported.
"""
def test_save_a... | TestSaveAndLoadModelWithExtraState |
python | Unity-Technologies__ml-agents | ml-agents/mlagents/trainers/torch_entities/conditioning.py | {
"start": 2777,
"end": 5134
} | class ____(torch.nn.Module):
def __init__(
self, input_size, output_size, hyper_input_size, layer_size, num_layers
):
"""
Hyper Network module. This module will use the hyper_input tensor to generate
the weights of the main network. The main network is a single fully connected
... | HyperNetwork |
python | django-guardian__django-guardian | guardian/testapp/models.py | {
"start": 647,
"end": 786
} | class ____(UserObjectPermissionBase):
content_object = models.ForeignKey("Project", on_delete=models.CASCADE)
| ProjectUserObjectPermission |
python | scipy__scipy | benchmarks/benchmarks/signal.py | {
"start": 5259,
"end": 5864
} | class ____(Benchmark):
param_names = ['up', 'down']
params = [
[1, 4],
[1, 4]
]
def setup(self, up, down):
rng = np.random.default_rng(1234)
# sample a bunch of pairs of 2d arrays
pairs = []
for nfilt in [8, ]:
for n in [32, 128, 512, 2048]:
... | Upfirdn1D |
python | PyCQA__pylint | tests/functional/i/invalid/invalid_repr_returned.py | {
"start": 851,
"end": 1029
} | class ____:
""" __repr__ returns node which does not have 'value' in AST """
def __repr__(self): # [invalid-repr-returned]
return lambda: "some repr"
| ThirdBadRepr |
python | sphinx-doc__sphinx | sphinx/ext/autodoc/_property_types.py | {
"start": 5661,
"end": 6281
} | class ____(_ItemProperties):
obj_type: Literal['attribute', 'data']
value: object
annotation: str
class_var: bool
instance_var: bool
_obj_is_generic_alias: bool
_obj_is_attribute_descriptor: bool
_obj_is_mock: bool
_obj_is_sentinel: (
RUNTIME_INSTANCE_ATTRIBUTE_T | SLOTS_A... | _AssignStatementProperties |
python | altair-viz__altair | altair/vegalite/v6/schema/core.py | {
"start": 1512451,
"end": 1514857
} | class ____(Transform):
"""
FilterTransform schema wrapper.
Parameters
----------
filter : str, dict, :class:`Predicate`, :class:`FieldGTPredicate`, :class:`FieldLTPredicate`, :class:`FieldGTEPredicate`, :class:`FieldLTEPredicate`, :class:`LogicalOrPredicate`, :class:`ParameterPredicate`, :class:`Fi... | FilterTransform |
python | kamyu104__LeetCode-Solutions | Python/minimum-number-of-operations-to-make-word-k-periodic.py | {
"start": 63,
"end": 362
} | class ____(object):
def minimumOperationsToMakeKPeriodic(self, word, k):
"""
:type word: str
:type k: int
:rtype: int
"""
cnt = collections.Counter(word[i:i+k]for i in xrange(0, len(word), k))
return len(word)//k-max(cnt.itervalues())
| Solution |
python | doocs__leetcode | solution/0800-0899/0879.Profitable Schemes/Solution2.py | {
"start": 0,
"end": 661
} | class ____:
def profitableSchemes(
self, n: int, minProfit: int, group: List[int], profit: List[int]
) -> int:
mod = 10**9 + 7
m = len(group)
f = [[[0] * (minProfit + 1) for _ in range(n + 1)] for _ in range(m + 1)]
for j in range(n + 1):
f[0][j][0] = 1
... | Solution |
python | run-llama__llama_index | llama-index-core/tests/test_utils.py | {
"start": 996,
"end": 9664
} | class ____(Exception):
"""Exception that contains retry attribute."""
def __init__(self, should_retry: bool) -> None:
"""Initialize with parameters."""
self.should_retry = should_retry
def test_retry_on_exceptions_with_backoff() -> None:
"""Make sure retry function has accurate number of ... | ConditionalException |
python | getsentry__sentry | src/sentry/notifications/notifications/digest.py | {
"start": 1727,
"end": 11871
} | class ____(ProjectNotification):
message_builder = "DigestNotificationMessageBuilder"
metrics_key = "digest"
template_path = "sentry/emails/digests/body"
def __init__(
self,
project: Project,
digest: DigestInfo,
target_type: ActionTargetType,
target_identifier: i... | DigestNotification |
python | getsentry__sentry | src/sentry/search/events/builder/profile_functions.py | {
"start": 846,
"end": 1079
} | class ____(Protocol):
@property
def config(self) -> ProfileFunctionsDatasetConfig: ...
@property
def params(self) -> SnubaParams: ...
def column(self, name: str) -> Column: ...
| ProfileFunctionsQueryBuilderProtocol |
python | huggingface__transformers | tests/models/mobilenet_v2/test_modeling_mobilenet_v2.py | {
"start": 6698,
"end": 10190
} | class ____(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
"""
Here we also overwrite some of the tests of test_modeling_common.py, as MobileNetV2 does not use input_ids, inputs_embeds,
attention_mask and seq_length.
"""
all_model_classes = (
(MobileNetV2Model, MobileNetV2ForImag... | MobileNetV2ModelTest |
python | pallets__jinja | src/jinja2/lexer.py | {
"start": 7666,
"end": 8503
} | class ____(t.NamedTuple):
lineno: int
type: str
value: str
def __str__(self) -> str:
return describe_token(self)
def test(self, expr: str) -> bool:
"""Test a token against a token expression. This can either be a
token type or ``'token_type:token_value'``. This can only t... | Token |
python | huggingface__transformers | src/transformers/modelcard.py | {
"start": 3067,
"end": 13621
} | class ____:
r"""
Structured Model Card class. Store model card as well as methods for loading/downloading/saving model cards.
Please read the following paper for details and explanation on the sections: "Model Cards for Model Reporting" by
Margaret Mitchell, Simone Wu, Andrew Zaldivar, Parker Barnes, L... | ModelCard |
python | pytorch__pytorch | test/onnx/test_pytorch_onnx_shape_inference.py | {
"start": 16471,
"end": 23083
} | class ____(pytorch_test_common.ExportTestCase):
def setUp(self):
super().setUp()
self.opset_version = _constants.ONNX_TORCHSCRIPT_EXPORTER_MAX_OPSET
def test_setType_maintains_output_shape_for_single_custom_op(self):
self.addCleanup(torch.onnx.unregister_custom_op_symbolic, "::linalg_in... | TestONNXCustomOpShapeInference |
python | HypothesisWorks__hypothesis | hypothesis-python/src/hypothesis/strategies/_internal/regex.py | {
"start": 3399,
"end": 6726
} | class ____:
"""Helper object that allows to configure `characters` strategy with
various unicode categories and characters. Also allows negation of
configured set.
:param negate: If True, configure :func:`hypothesis.strategies.characters`
to match anything other than configured character set
... | CharactersBuilder |
python | streamlit__streamlit | lib/tests/streamlit/runtime/secrets_test.py | {
"start": 2423,
"end": 11460
} | class ____(unittest.TestCase):
"""Tests for st.secrets with a single secrets.toml file"""
def setUp(self) -> None:
# st.secrets modifies os.environ, so we save it here and
# restore in tearDown.
self._prev_environ = dict(os.environ)
# Run tests on our own Secrets instance to red... | SecretsTest |
python | facelessuser__pymdown-extensions | pymdownx/tilde.py | {
"start": 5677,
"end": 7333
} | class ____(Extension):
"""Add delete and/or subscript extension to Markdown class."""
def __init__(self, *args, **kwargs):
"""Initialize."""
self.config = {
'smart_delete': [True, "Treat ~~connected~~words~~ intelligently - Default: True"],
'delete': [True, "Enable dele... | DeleteSubExtension |
python | microsoft__pyright | packages/pyright-internal/src/tests/samples/dataclass8.py | {
"start": 231,
"end": 276
} | class ____(ParentA):
pass
@dataclass
| ChildA |
python | pytorch__pytorch | test/distributed/fsdp/test_fsdp_optim_state.py | {
"start": 1687,
"end": 1926
} | class ____(Enum):
"""Method for communicating the optimizer state dict for internal tests."""
BROADCAST_OBJECT_LIST = auto()
SCATTER_FULL_OSD = auto()
FLATTEN_SHARDED_OSD = auto()
OPTIM_STATE_DICT = auto()
| _OSDCommMethod |
python | getsentry__sentry | src/sentry/replays/endpoints/organization_replay_count.py | {
"start": 1273,
"end": 1658
} | class ____(serializers.Serializer):
query = serializers.CharField(required=True)
data_source = serializers.ChoiceField(
choices=(Dataset.Discover.value, Dataset.IssuePlatform.value),
default=Dataset.Discover.value,
)
returnIds = serializers.BooleanField(default=False)
@region_silo_endp... | ReplayCountQueryParamsValidator |
python | pandas-dev__pandas | pandas/tests/indexes/multi/test_lexsort.py | {
"start": 626,
"end": 1358
} | class ____:
def test_lexsort_depth(self):
# Test that lexsort_depth return the correct sortorder
# when it was given to the MultiIndex const.
# GH#28518
levels = [[0, 1], [0, 1, 2]]
index = MultiIndex(
levels=levels, codes=[[0, 0, 0, 1, 1, 1], [0, 1, 2, 0, 1, 2]... | TestLexsortDepth |
python | apache__thrift | lib/py/src/protocol/TProtocol.py | {
"start": 946,
"end": 1317
} | class ____(TException):
"""Custom Protocol Exception class"""
UNKNOWN = 0
INVALID_DATA = 1
NEGATIVE_SIZE = 2
SIZE_LIMIT = 3
BAD_VERSION = 4
NOT_IMPLEMENTED = 5
DEPTH_LIMIT = 6
INVALID_PROTOCOL = 7
def __init__(self, type=UNKNOWN, message=None):
TException.__init__(self,... | TProtocolException |
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