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 | pennersr__django-allauth | tests/apps/socialaccount/providers/clever/tests.py | {
"start": 240,
"end": 1540
} | class ____(OAuth2TestsMixin, TestCase):
provider_id = CleverProvider.id
def get_mocked_response(self):
return [
MockedResponse(
HTTPStatus.OK,
"""{
"type": "user",
"data": {
"id": "62027798269867124d10259e",
... | CleverOAuth2Tests |
python | davidhalter__jedi | jedi/inference/value/instance.py | {
"start": 2375,
"end": 3100
} | class ____(BaseFunctionExecutionContext):
def __init__(self, instance, value):
super().__init__(value)
self.instance = instance
def get_filters(self, until_position=None, origin_scope=None):
yield AnonymousMethodExecutionFilter(
self.instance, self, self._value,
... | AnonymousMethodExecutionContext |
python | pydantic__pydantic | tests/test_forward_ref.py | {
"start": 40261,
"end": 40715
} | class ____[T](TypedDict):
t: 'T'
"""
)
with pytest.raises(ValidationError):
TypeAdapter(mod_1.TD[str]).validate_python({'t': 1})
@pytest.mark.skipif(sys.version_info < (3, 12), reason='Test related to PEP 695 syntax.')
def test_pep695_generics_class_locals_take_priority(create_module) -> ... | TD |
python | getsentry__sentry | tests/sentry_plugins/trello/test_plugin.py | {
"start": 498,
"end": 1663
} | class ____(TrelloPluginTestBase):
def test_get_issue_label(self) -> None:
group = self.create_group(message="Hello world", culprit="foo.bar")
# test new and old format
assert self.plugin.get_issue_label(group, "rPPDb") == "Trello-rPPDb"
assert (
self.plugin.get_issue_labe... | TrelloPluginTest |
python | walkccc__LeetCode | solutions/2133. Check if Every Row and Column Contains All Numbers/2133.py | {
"start": 0,
"end": 195
} | class ____:
def checkValid(self, matrix: list[list[int]]) -> bool:
return all(min(len(set(row)), len(set(col))) == len(matrix)
for row, col in zip(matrix, zip(*matrix)))
| Solution |
python | apache__airflow | providers/amazon/tests/unit/amazon/aws/triggers/test_lambda_function.py | {
"start": 925,
"end": 1918
} | class ____:
def test_serialization(self):
function_name = "test_function_name"
function_arn = "test_function_arn"
waiter_delay = 60
waiter_max_attempts = 30
aws_conn_id = "aws_default"
trigger = LambdaCreateFunctionCompleteTrigger(
function_name=function_... | TestLambdaCreateFunctionCompleteTrigger |
python | getsentry__sentry | tests/sentry/api/test_data_secrecy.py | {
"start": 162,
"end": 2456
} | class ____(APITestCase):
# Picked an endpoint with OrganizationAndStaffPermission
endpoint = "sentry-api-0-organization-projects"
method = "get"
def setUp(self) -> None:
super().setUp()
self.login_as(self.user)
self.organization.flags.prevent_superuser_access = True
self... | DataSecrecyTestCase |
python | spack__spack | lib/spack/spack/oci/opener.py | {
"start": 5999,
"end": 7342
} | class ____(NamedTuple):
username: str
password: str
@property
def basic_auth_header(self) -> str:
encoded = base64.b64encode(f"{self.username}:{self.password}".encode("utf-8")).decode(
"utf-8"
)
return f"Basic {encoded}"
def _get_bearer_challenge(challenges: List[C... | UsernamePassword |
python | kubernetes-client__python | kubernetes/client/models/v1_network_policy_ingress_rule.py | {
"start": 383,
"end": 5852
} | 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... | V1NetworkPolicyIngressRule |
python | faif__python-patterns | patterns/behavioral/visitor.py | {
"start": 773,
"end": 1698
} | class ____:
def visit(self, node: Union[A, C, B], *args, **kwargs) -> None:
meth = None
for cls in node.__class__.__mro__:
meth_name = "visit_" + cls.__name__
meth = getattr(self, meth_name, None)
if meth:
break
if not meth:
me... | Visitor |
python | spyder-ide__spyder | spyder/plugins/pylint/tests/test_pylint.py | {
"start": 2063,
"end": 12212
} | class ____(QMainWindow):
sig_editor_focus_changed = Signal(str)
def __init__(self):
super().__init__(None)
self.editor = Mock()
self.editor.sig_editor_focus_changed = self.sig_editor_focus_changed
self.projects = MagicMock()
PLUGIN_REGISTRY.plugin_registry = {
... | MainWindowMock |
python | scipy__scipy | scipy/optimize/_dual_annealing.py | {
"start": 8776,
"end": 15609
} | class ____:
"""
Class that implements within a Markov chain the strategy for location
acceptance and local search decision making.
Parameters
----------
acceptance_param : float
Parameter for acceptance distribution. It is used to control the
probability of acceptance. The lower... | StrategyChain |
python | networkx__networkx | networkx/algorithms/shortest_paths/tests/test_weighted.py | {
"start": 739,
"end": 3010
} | class ____:
"""Base class for test classes that test functions for computing
shortest paths in weighted graphs.
"""
def setup_method(self):
"""Creates some graphs for use in the unit tests."""
cnlti = nx.convert_node_labels_to_integers
self.grid = cnlti(nx.grid_2d_graph(4, 4), ... | WeightedTestBase |
python | explosion__spaCy | spacy/pipeline/spancat.py | {
"start": 2080,
"end": 5386
} | class ____(Protocol):
def __call__(self, docs: Iterable[Doc], *, ops: Optional[Ops] = None) -> Ragged: ...
def ngram_suggester(
docs: Iterable[Doc], sizes: List[int], *, ops: Optional[Ops] = None
) -> Ragged:
if ops is None:
ops = get_current_ops()
spans = []
lengths = []
for doc in do... | Suggester |
python | pytest-dev__pytest | testing/test_capture.py | {
"start": 41058,
"end": 54679
} | class ____:
def test_stdcapture_fd_invalid_fd(self, pytester: Pytester) -> None:
pytester.makepyfile(
"""
import os
from fnmatch import fnmatch
from _pytest import capture
def StdCaptureFD(out=True, err=True, in_=True):
return capt... | TestStdCaptureFDinvalidFD |
python | numba__numba | numba/core/ir.py | {
"start": 20419,
"end": 20798
} | class ____(Stmt):
"""
del target[index]
"""
def __init__(self, target, index, loc):
assert isinstance(target, Var)
assert isinstance(index, Var)
assert isinstance(loc, Loc)
self.target = target
self.index = index
self.loc = loc
def __repr__(self):
... | DelItem |
python | dask__dask | dask/_expr.py | {
"start": 39839,
"end": 41657
} | class ____(HLGExpr):
def _simplify_down(self):
if not self.postcompute:
return self.dsk
from dask.delayed import Delayed
# Skip finalization for Delayed
if self.dsk.postcompute == Delayed.__dask_postcompute__(self.dsk):
return self.dsk
return self
... | HLGFinalizeCompute |
python | streamlit__streamlit | lib/tests/streamlit/elements/layout_test_utils.py | {
"start": 641,
"end": 770
} | class ____(Enum):
PIXEL_WIDTH = "pixel_width"
USE_STRETCH = "use_stretch"
USE_CONTENT = "use_content"
| WidthConfigFields |
python | astropy__astropy | astropy/cosmology/_src/tests/test_utils.py | {
"start": 2388,
"end": 5588
} | class ____:
@classmethod
def setup_class(cls):
def noop(a, b, c, d):
# a minimal function that does nothing,
# with multiple positional-or-keywords arguments
return
cls.base_func = noop
cls.depr_funcs = {
1: deprecated_keywords("a", since=... | TestDeprecatedKeywords |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-shopify/source_shopify/streams/streams.py | {
"start": 7018,
"end": 7128
} | class ____(IncrementalShopifyGraphQlBulkStream):
bulk_query: OrderAgreement = OrderAgreement
| OrderAgreements |
python | ray-project__ray | python/ray/tune/search/repeater.py | {
"start": 2468,
"end": 7007
} | class ____(Searcher):
"""A wrapper algorithm for repeating trials of same parameters.
Set tune.TuneConfig(num_samples=...) to be a multiple of `repeat`. For example,
set num_samples=15 if you intend to obtain 3 search algorithm suggestions
and repeat each suggestion 5 times. Any leftover trials
(nu... | Repeater |
python | pytorch__pytorch | torch/distributed/elastic/metrics/api.py | {
"start": 1066,
"end": 1288
} | class ____(MetricHandler):
def emit(self, metric_data: MetricData):
print(
f"[{metric_data.timestamp}][{metric_data.group_name}]: {metric_data.name}={metric_data.value}"
)
| ConsoleMetricHandler |
python | jmcnamara__XlsxWriter | xlsxwriter/test/styles/test_write_mru_colors.py | {
"start": 330,
"end": 952
} | class ____(unittest.TestCase):
"""
Test the Styles _write_mru_colors() method.
"""
def setUp(self):
self.fh = StringIO()
self.styles = Styles()
self.styles._set_filehandle(self.fh)
def test_write_mru_colors(self):
"""Test the _write_mru_colors() method"""
... | TestWriteMruColors |
python | huggingface__transformers | src/transformers/models/donut/modeling_donut_swin.py | {
"start": 30938,
"end": 35251
} | class ____(nn.Module):
def __init__(self, config, grid_size):
super().__init__()
self.num_layers = len(config.depths)
self.config = config
dpr = [x.item() for x in torch.linspace(0, config.drop_path_rate, sum(config.depths), device="cpu")]
self.layers = nn.ModuleList(
... | DonutSwinEncoder |
python | huggingface__transformers | tests/models/nanochat/test_modeling_nanochat.py | {
"start": 1068,
"end": 1283
} | class ____(CausalLMModelTester):
config_class = NanoChatConfig
if is_torch_available():
base_model_class = NanoChatModel
causal_lm_class = NanoChatForCausalLM
@require_torch
| NanoChatModelTester |
python | django__django | tests/template_backends/test_jinja2.py | {
"start": 443,
"end": 5725
} | class ____(TemplateStringsTests):
engine_class = Jinja2
backend_name = "jinja2"
options = {
"keep_trailing_newline": True,
"context_processors": [
"django.template.context_processors.static",
],
}
def test_origin(self):
template = self.engine.get_template... | Jinja2Tests |
python | huggingface__transformers | src/transformers/models/vjepa2/modeling_vjepa2.py | {
"start": 2360,
"end": 3319
} | class ____(ModelOutput):
r"""
masked_hidden_state (`torch.FloatTensor` of shape `(batch_size, sequence_length, hidden_size)`, *optional*, returned when `context_mask` is provided which is applied on VJEPA2Encoder outputs):
The masked hidden state of the model.
predictor_output (`VJEPA2WithMaskedInpu... | VJEPA2WithMaskedInputModelOutput |
python | doocs__leetcode | solution/2500-2599/2502.Design Memory Allocator/Solution.py | {
"start": 0,
"end": 774
} | class ____:
def __init__(self, n: int):
self.m = [0] * n
def allocate(self, size: int, mID: int) -> int:
cnt = 0
for i, v in enumerate(self.m):
if v:
cnt = 0
else:
cnt += 1
if cnt == size:
self.m... | Allocator |
python | urllib3__urllib3 | test/test_response.py | {
"start": 56872,
"end": 57070
} | class ____(MockChunkedEncodingResponse):
def _encode_chunk(self, chunk: bytes) -> bytes:
return f"{len(chunk):X};asd=qwe\r\n{chunk.decode()}\r\n".encode()
| MockChunkedEncodingWithExtensions |
python | scikit-learn__scikit-learn | sklearn/compose/tests/test_target.py | {
"start": 14100,
"end": 14891
} | class ____(BaseEstimator):
"""A regressor that expects the target to have a specific number of dimensions."""
def __init__(self, ndim):
self.ndim = ndim
def fit(self, X, y):
assert y.ndim == self.ndim
def predict(self, X):
pass # pragma: no cover
@pytest.mark.parametrize("n... | ValidateDimensionRegressor |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-github/source_github/github_schema.py | {
"start": 1464056,
"end": 1467760
} | class ____(sgqlc.types.Type, Node):
"""A repository ruleset."""
__schema__ = github_schema
__field_names__ = (
"bypass_actors",
"bypass_mode",
"conditions",
"created_at",
"database_id",
"enforcement",
"name",
"rules",
"source",
... | RepositoryRuleset |
python | Textualize__textual | tests/snapshot_tests/snapshot_apps/tab_rename.py | {
"start": 95,
"end": 506
} | class ____(App[None]):
def compose(self) -> ComposeResult:
with TabbedContent():
yield TabPane("!", id="test")
for n in range(5):
yield TabPane(str(n) * (n+1))
def on_mount(self) -> None:
self.query_one(TabbedContent).get_tab("test").label = "This is a m... | TabRenameApp |
python | rapidsai__cudf | python/cudf/cudf/core/accessors/struct.py | {
"start": 547,
"end": 3434
} | class ____(BaseAccessor):
"""
Struct methods for Series
"""
_column: StructColumn
def __init__(self, parent: Series | Index):
if not is_dtype_obj_struct(parent.dtype):
raise AttributeError(
"Can only use .struct accessor with a 'struct' dtype"
)
... | StructMethods |
python | psf__black | tests/data/cases/allow_empty_first_line.py | {
"start": 620,
"end": 1524
} | class ____:
def method(self):
pass
async def async_fn():
"""Docstring."""
@decorated
async def async_fn():
"""Docstring."""
def top_level(
a: int,
b: str,
) -> Whatever[Generic, Something]:
def nested(x: int) -> int:
pass
# output
def foo():
"""
Docstring... | Cls |
python | getsentry__sentry | tests/sentry/api/fields/test_serializedfile.py | {
"start": 323,
"end": 1369
} | class ____(unittest.TestCase):
def test_to_representation(self) -> None:
field = SerializedFileField()
assert field.to_representation(None) == ""
assert field.to_representation("") == ""
with pytest.raises(ValueError):
assert field.to_representation(1)
result = ... | SerializedFileFieldTest |
python | apache__thrift | lib/py/src/protocol/TBase.py | {
"start": 2093,
"end": 2829
} | class ____(TBase):
def __setitem__(self, *args):
raise TypeError("Can't modify frozen struct")
def __delitem__(self, *args):
raise TypeError("Can't modify frozen struct")
def __hash__(self, *args):
return hash(self.__class__) ^ hash(self.__slots__)
@classmethod
def read(cl... | TFrozenBase |
python | walkccc__LeetCode | solutions/471. Encode String with Shortest Length/471.py | {
"start": 0,
"end": 905
} | class ____:
def encode(self, s: str) -> str:
n = len(s)
@functools.lru_cache(None)
def dp(i: int, j: int) -> str:
"""Returns the shortest encoded string of s[i..j]."""
curr = s[i:j + 1]
res = curr
if len(res) < 5:
return res
# Try all possible partitions.
for... | Solution |
python | django__django | tests/messages_tests/tests.py | {
"start": 3542,
"end": 3711
} | class ____:
def __init__(self):
request = RequestFactory().get("/")
request._messages = DummyStorage()
self.wsgi_request = request
| FakeResponse |
python | langchain-ai__langchain | libs/core/langchain_core/outputs/generation.py | {
"start": 1611,
"end": 2564
} | class ____(Generation):
"""`GenerationChunk`, which can be concatenated with other Generation chunks."""
def __add__(self, other: GenerationChunk) -> GenerationChunk:
"""Concatenate two `GenerationChunk`s.
Args:
other: Another `GenerationChunk` to concatenate with.
Raises:... | GenerationChunk |
python | wandb__wandb | wandb/vendor/pygments/formatters/terminal.py | {
"start": 1981,
"end": 4919
} | class ____(Formatter):
r"""
Format tokens with ANSI color sequences, for output in a text console.
Color sequences are terminated at newlines, so that paging the output
works correctly.
The `get_style_defs()` method doesn't do anything special since there is
no support for common styles.
O... | TerminalFormatter |
python | wandb__wandb | wandb/vendor/graphql-core-1.1/wandb_graphql/validation/rules/known_fragment_names.py | {
"start": 69,
"end": 597
} | class ____(ValidationRule):
def enter_FragmentSpread(self, node, key, parent, path, ancestors):
fragment_name = node.name.value
fragment = self.context.get_fragment(fragment_name)
if not fragment:
self.context.report_error(GraphQLError(
self.unknown_fragment_mes... | KnownFragmentNames |
python | davidhalter__parso | parso/python/tree.py | {
"start": 8203,
"end": 8414
} | class ____(PythonLeaf):
"""
f-strings contain f-string expressions and normal python strings. These are
the string parts of f-strings.
"""
type = 'fstring_start'
__slots__ = ()
| FStringStart |
python | charliermarsh__ruff | crates/ruff_linter/resources/test/fixtures/refurb/FURB180.py | {
"start": 587,
"end": 681
} | class ____(metaclass=Meta, no_metaclass=ABCMeta):
@abstractmethod
def foo(self): pass
| A4 |
python | huggingface__transformers | src/transformers/models/unispeech/modeling_unispeech.py | {
"start": 29125,
"end": 37809
} | class ____(PreTrainedModel):
config: UniSpeechConfig
base_model_prefix = "unispeech"
main_input_name = "input_values"
input_modalities = "audio"
supports_gradient_checkpointing = True
_supports_flash_attn = True
_supports_sdpa = True
_supports_flex_attn = True
@torch.no_grad()
d... | UniSpeechPreTrainedModel |
python | facelessuser__pymdown-extensions | pymdownx/_bypassnorm.py | {
"start": 665,
"end": 1018
} | class ____(Preprocessor):
"""Preprocessor to remove workaround symbols."""
def run(self, lines):
"""Remove workaround placeholder markers before adding actual workaround placeholders."""
source = '\n'.join(lines)
source = source.replace(SOH, '').replace(EOT, '')
return source.s... | PreNormalizePreprocessor |
python | pytorch__pytorch | test/distributed/checkpoint/test_pg_transport.py | {
"start": 10638,
"end": 12707
} | class ____(TestCase):
def test_prepare_tensor_basic(self):
"""Test basic tensor preparation."""
tensor = torch.tensor([1.0, 2.0, 3.0], dtype=torch.float32)
prepared_tensor, meta = _prepare_tensor(tensor)
# Check metadata
self.assertEqual(meta.shape, tensor.shape)
sel... | TestPrepareTensor |
python | dagster-io__dagster | python_modules/dagster/dagster/_core/definitions/metadata/metadata_set.py | {
"start": 6150,
"end": 7317
} | class ____(NamespacedMetadataSet):
"""Metadata entries that apply to definitions, observations, or materializations of assets that
are tables.
Args:
column_schema (Optional[TableSchema]): The schema of the columns in the table.
column_lineage (Optional[TableColumnLineage]): The lineage of c... | TableMetadataSet |
python | rq__rq | rq/results.py | {
"start": 399,
"end": 8058
} | class ____:
class Type(Enum):
SUCCESSFUL = 1
FAILED = 2
STOPPED = 3
RETRIED = 4
def __init__(
self,
job_id: str,
type: Type,
connection: Redis,
id: Optional[str] = None,
created_at: Optional[datetime] = None,
return_value: ... | Result |
python | keras-team__keras | keras/src/layers/preprocessing/image_preprocessing/random_erasing_test.py | {
"start": 164,
"end": 2800
} | class ____(testing.TestCase):
@pytest.mark.requires_trainable_backend
def test_layer(self):
self.run_layer_test(
layers.RandomErasing,
init_kwargs={
"factor": 1.0,
"scale": 0.5,
"fill_value": 0,
"value_range": (0, 25... | RandomErasingTest |
python | pytorch__pytorch | tools/experimental/torchfuzz/operators/matrix_multiply.py | {
"start": 265,
"end": 1246
} | class ____(Operator):
"""Base class for matrix multiplication operations."""
def __init__(self, name: str):
super().__init__(name)
def can_produce(self, output_spec: Spec) -> bool:
"""Matrix multiply operations can produce float/complex tensors of dimension >= 2."""
if not isinstan... | MatrixMultiplyOperator |
python | qdrant__qdrant-client | qdrant_client/http/models/models.py | {
"start": 7637,
"end": 7864
} | class ____(BaseModel):
grpc_timeout_ms: int = Field(..., description="")
p2p: "P2pConfigTelemetry" = Field(..., description="")
consensus: "ConsensusConfigTelemetry" = Field(..., description="")
| ClusterConfigTelemetry |
python | dagster-io__dagster | python_modules/dagster/dagster/_core/definitions/resource_definition.py | {
"start": 1809,
"end": 12306
} | class ____(AnonymousConfigurableDefinition, IHasInternalInit):
"""Core class for defining resources.
Resources are scoped ways to make external resources (like database connections) available to
ops and assets during job execution and to clean up after execution resolves.
If resource_fn yields once ra... | ResourceDefinition |
python | openai__openai-python | src/openai/types/beta/threads/file_citation_annotation.py | {
"start": 326,
"end": 595
} | class ____(BaseModel):
end_index: int
file_citation: FileCitation
start_index: int
text: str
"""The text in the message content that needs to be replaced."""
type: Literal["file_citation"]
"""Always `file_citation`."""
| FileCitationAnnotation |
python | huggingface__transformers | src/transformers/models/wav2vec2/configuration_wav2vec2.py | {
"start": 843,
"end": 20077
} | class ____(PreTrainedConfig):
r"""
This is the configuration class to store the configuration of a [`Wav2Vec2Model`]. It is used to instantiate an
Wav2Vec2 model according to the specified arguments, defining the model architecture. Instantiating a configuration
with the defaults will yield a similar co... | Wav2Vec2Config |
python | getsentry__sentry | src/sentry/preprod/pull_request/comment_types.py | {
"start": 1138,
"end": 1507
} | class ____(BaseModel):
"""Reaction counts on a comment."""
url: str
total_count: int
plus_one: int = Field(alias="+1")
minus_one: int = Field(alias="-1")
laugh: int
confused: int
heart: int
hooray: int
eyes: int
rocket: int
class Config:
populate_by_name = True ... | CommentReactions |
python | realpython__materials | arcade-platformer/arcade_platformer/13_pause_view.py | {
"start": 6510,
"end": 19359
} | class ____(arcade.View):
def __init__(self) -> None:
super().__init__()
# These lists will hold different sets of sprites
self.coins = None
self.background = None
self.walls = None
self.ladders = None
self.goals = None
self.enemies = None
# O... | PlatformerView |
python | django__django | tests/backends/sqlite/test_functions.py | {
"start": 171,
"end": 915
} | class ____(SimpleTestCase):
def test_sqlite_date_trunc(self):
msg = "Unsupported lookup type: 'unknown-lookup'"
with self.assertRaisesMessage(ValueError, msg):
_sqlite_date_trunc("unknown-lookup", "2005-08-11", None, None)
def test_sqlite_datetime_trunc(self):
msg = "Unsuppo... | FunctionTests |
python | ansible__ansible | test/lib/ansible_test/_internal/provider/__init__.py | {
"start": 1494,
"end": 1858
} | class ____(ApplicationError):
"""Exception generated when a path based provider cannot be found for a given path."""
def __init__(self, provider_type: t.Type, path: str) -> None:
super().__init__('No %s found for path: %s' % (provider_type.__name__, path))
self.provider_type = provider_type
... | ProviderNotFoundForPath |
python | python-excel__xlwt | xlwt/antlr.py | {
"start": 6495,
"end": 6627
} | class ____(RecognitionException):
def __init__(self, *args):
RecognitionException.__init__(self, *args)
| SemanticException |
python | joblib__joblib | joblib/executor.py | {
"start": 4785,
"end": 5229
} | class ____(MemmappingExecutor):
"""Wrapper around ReusableExecutor to ease memmapping testing with Pool
and Executor. This is only for testing purposes.
"""
def apply_async(self, func, args):
"""Schedule a func to be run"""
future = self.submit(func, *args)
future.get = future.... | _TestingMemmappingExecutor |
python | facelessuser__soupsieve | tests/test_level3/test_nth_last_of_type.py | {
"start": 63,
"end": 1320
} | class ____(util.TestCase):
"""Test `nth` last of type selectors."""
def test_nth_last_of_type(self):
"""Test `nth` last of type."""
markup = """
<p id="0"></p>
<p id="1"></p>
<span id="2"></span>
<span id="3"></span>
<span id="4"></span>
<span id... | TestNthLastOfType |
python | altair-viz__altair | altair/vegalite/v6/schema/core.py | {
"start": 300948,
"end": 301128
} | class ____(ColorScheme):
"""Cyclical schema wrapper."""
_schema = {"$ref": "#/definitions/Cyclical"}
def __init__(self, *args):
super().__init__(*args)
| Cyclical |
python | huggingface__transformers | tests/models/longformer/test_modeling_longformer.py | {
"start": 12855,
"end": 17255
} | class ____(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
all_model_classes = (
(
LongformerModel,
LongformerForMaskedLM,
LongformerForSequenceClassification,
LongformerForQuestionAnswering,
LongformerForTokenClassification,
... | LongformerModelTest |
python | falconry__falcon | tests/test_app_initializers.py | {
"start": 241,
"end": 1432
} | class ____(media.BaseHandler):
def serialize(self, media, content_type):
return str(media).encode()
def deserialize(self, stream, content_type, content_length):
return stream.read().decode()
@pytest.fixture
def client(request):
app = request.param(media_type=falcon.MEDIA_XML)
app.add_... | PlainTextHandler |
python | great-expectations__great_expectations | great_expectations/expectations/metrics/column_aggregate_metrics/column_distinct_values.py | {
"start": 5670,
"end": 7725
} | class ____(ColumnAggregateMetricProvider):
metric_name = "column.distinct_values.count.under_threshold"
condition_keys = ("threshold",)
@column_aggregate_value(engine=PandasExecutionEngine) # type: ignore[misc] # untyped-decorator
def _pandas(cls, column: pd.Series, threshold: int, **kwargs) -> bool:
... | ColumnDistinctValuesCountUnderThreshold |
python | tensorflow__tensorflow | tensorflow/python/keras/utils/generic_utils.py | {
"start": 1601,
"end": 4491
} | class ____(object):
"""Exposes custom classes/functions to Keras deserialization internals.
Under a scope `with custom_object_scope(objects_dict)`, Keras methods such
as `tf.keras.models.load_model` or `tf.keras.models.model_from_config`
will be able to deserialize any custom object referenced by a
saved con... | CustomObjectScope |
python | dagster-io__dagster | python_modules/dagster/dagster/_core/pipes/utils.py | {
"start": 7515,
"end": 10154
} | class ____(PipesMessageReader):
"""Message reader that reads messages by tailing an automatically-generated temporary file."""
def __init__(self, include_stdio_in_messages: bool = False):
self._include_stdio_in_messages = check.bool_param(
include_stdio_in_messages, "include_stdio_in_messag... | PipesTempFileMessageReader |
python | pappasam__jedi-language-server | jedi_language_server/initialization_options.py | {
"start": 730,
"end": 906
} | class ____:
disable_snippets: bool = False
resolve_eagerly: bool = False
ignore_patterns: List[Pattern[str]] = field(default_factory=list)
@light_dataclass
| Completion |
python | ray-project__ray | python/ray/serve/_private/proxy_state.py | {
"start": 3462,
"end": 10764
} | class ____(ProxyWrapper):
def __init__(
self,
logging_config: LoggingConfig,
actor_handle: Optional[ActorHandle] = None,
http_options: Optional[HTTPOptions] = None,
grpc_options: Optional[gRPCOptions] = None,
name: Optional[str] = None,
node_id: Optional[str] ... | ActorProxyWrapper |
python | django__django | tests/db_utils/tests.py | {
"start": 346,
"end": 2322
} | class ____(SimpleTestCase):
def test_connection_handler_no_databases(self):
"""
Empty DATABASES and empty 'default' settings default to the dummy
backend.
"""
for DATABASES in (
{}, # Empty DATABASES setting.
{"default": {}}, # Empty 'default' databa... | ConnectionHandlerTests |
python | bokeh__bokeh | tests/unit/bokeh/embed/test_util__embed.py | {
"start": 5089,
"end": 8866
} | class ____:
def test_single_model_with_document(self) -> None:
# should use existing doc in with-block
p = SomeModel()
d = Document()
orig_theme = d.theme
d.add_root(p)
with beu.OutputDocumentFor([p]):
assert p.document is d
assert d.theme is o... | Test_OutputDocumentFor_default_apply_theme |
python | python-poetry__poetry | src/poetry/mixology/incompatibility_cause.py | {
"start": 470,
"end": 1027
} | class ____(IncompatibilityCauseError):
"""
The incompatibility was derived from two existing incompatibilities
during conflict resolution.
"""
def __init__(self, conflict: Incompatibility, other: Incompatibility) -> None:
self._conflict = conflict
self._other = other
@property
... | ConflictCauseError |
python | mlflow__mlflow | mlflow/gateway/config.py | {
"start": 7163,
"end": 7376
} | class ____(ConfigModel):
mistral_api_key: str
@field_validator("mistral_api_key", mode="before")
def validate_mistral_api_key(cls, value):
return _resolve_api_key_from_input(value)
| MistralConfig |
python | dask__dask | dask/dataframe/dask_expr/_expr.py | {
"start": 83943,
"end": 84767
} | class ____(Head, Blockwise):
"""Take the first `n` rows of every partition
Typically used after `Partitions(..., [0])` to take
the first `n` rows of an entire collection.
"""
_parameters = ["frame", "n", "npartitions", "safe"]
_preserves_partitioning_information = True
def _simplify_down(... | BlockwiseHead |
python | tensorflow__tensorflow | tensorflow/python/autograph/pyct/pretty_printer.py | {
"start": 784,
"end": 4165
} | class ____(gast.NodeVisitor):
"""Print AST nodes."""
def __init__(self, color, noanno):
self.indent_lvl = 0
self.result = ''
self.color = color
self.noanno = noanno
def _color(self, string, color, attrs=None):
if self.color:
return termcolor.colored(string, color, attrs=attrs)
retu... | PrettyPrinter |
python | walkccc__LeetCode | solutions/2162. Minimum Cost to Set Cooking Time/2162.py | {
"start": 0,
"end": 648
} | class ____:
def minCostSetTime(
self,
startAt: int,
moveCost: int,
pushCost: int,
targetSeconds: int,
) -> int:
ans = math.inf
mins = 99 if targetSeconds > 5999 else targetSeconds // 60
secs = targetSeconds - mins * 60
def getCost(mins: int, secs: int) -> int:
co... | Solution |
python | django-haystack__django-haystack | test_haystack/test_indexes.py | {
"start": 29959,
"end": 30853
} | class ____(TestCase):
def test_full_prepare(self):
index = ModelWithManyToManyFieldAndAttributeLookupSearchIndex()
left_model = ManyToManyLeftSideModel.objects.create()
right_model_1 = ManyToManyRightSideModel.objects.create(name="Right side 1")
right_model_2 = ManyToManyRightSideMo... | ModelWithManyToManyFieldAndAttributeLookupSearchIndexTestCase |
python | run-llama__llama_index | llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/video_audio/base.py | {
"start": 336,
"end": 2164
} | class ____(BaseReader):
"""
Video audio parser.
Extract text from transcript of video/audio files.
"""
def __init__(self, *args: Any, model_version: str = "base", **kwargs: Any) -> None:
"""Init parser."""
super().__init__(*args, **kwargs)
self._model_version = model_versi... | VideoAudioReader |
python | dask__dask | dask/dataframe/dask_expr/_expr.py | {
"start": 40705,
"end": 41021
} | class ____(Blockwise):
_parameters = ["frame", "_expr", "expr_kwargs"]
_defaults: dict[str, Any] = {"expr_kwargs": {}} # type: ignore[dict-item]
_keyword_only = ["expr_kwargs"]
operation = M.query
@functools.cached_property
def _kwargs(self) -> dict:
return {**self.expr_kwargs}
| Query |
python | encode__django-rest-framework | tests/test_validators.py | {
"start": 6024,
"end": 6174
} | class ____(serializers.ModelSerializer):
class Meta:
model = UniquenessTogetherModel
fields = '__all__'
| UniquenessTogetherSerializer |
python | chroma-core__chroma | chromadb/auth/token_authn/__init__.py | {
"start": 740,
"end": 1884
} | class ____(str, Enum):
"""
Accceptable token transport headers.
"""
# I don't love having this enum here -- it's weird to have an enum
# for just two values and it's weird to have users pass X_CHROMA_TOKEN
# to configure "x-chroma-token". But I also like having a single source
# of truth, s... | TokenTransportHeader |
python | numpy__numpy | numpy/ma/tests/test_extras.py | {
"start": 6241,
"end": 17360
} | class ____:
# Several tests of average. Why so many ? Good point...
def test_testAverage1(self):
# Test of average.
ott = array([0., 1., 2., 3.], mask=[True, False, False, False])
assert_equal(2.0, average(ott, axis=0))
assert_equal(2.0, average(ott, weights=[1., 1., 2., 1.]))
... | TestAverage |
python | huggingface__transformers | src/transformers/models/qwen2_5_vl/modeling_qwen2_5_vl.py | {
"start": 43079,
"end": 63975
} | class ____(Qwen2_5_VLPreTrainedModel):
base_model_prefix = "model"
_checkpoint_conversion_mapping = {"^model": "language_model"}
# Reference: fix gemma3 grad acc #37208
accepts_loss_kwargs = False
config: Qwen2_5_VLConfig
_no_split_modules = ["Qwen2_5_VLDecoderLayer", "Qwen2_5_VLVisionBlock"]
... | Qwen2_5_VLModel |
python | getsentry__sentry | src/sentry/snuba/metrics/naming_layer/mri.py | {
"start": 2128,
"end": 5086
} | class ____(Enum):
# Ingested
# Do *not* use these metrics in product queries. Use the derived metrics below instead.
# The raw metrics do not necessarily add up in intuitive ways. For example, `RAW_SESSION`
# double-counts crashed sessions.
RAW_SESSION = "c:sessions/session@none"
RAW_ERROR = "s:... | SessionMRI |
python | Farama-Foundation__Gymnasium | tests/envs/registration/test_env_spec.py | {
"start": 6099,
"end": 7262
} | class ____(gym.Env):
def __init__(self, unpickleable_obj):
self.action_space = gym.spaces.Discrete(2)
self.observation_space = gym.spaces.Discrete(2)
self.unpickleable_obj = unpickleable_obj
def step(self, action):
return self.observation_space.sample(), 0, False, False, {}
... | EnvWithUnpickleableObj |
python | ray-project__ray | python/ray/serve/tests/test_config_files/use_custom_request_router.py | {
"start": 903,
"end": 1184
} | class ____:
def __init__(self):
context = _get_internal_replica_context()
self.replica_id: ReplicaID = context.replica_id
async def __call__(self):
return "hello_from_custom_request_router"
app = UniformRequestRouterApp.bind()
| UniformRequestRouterApp |
python | PyCQA__pylint | tests/functional/u/unused/unused_private_member.py | {
"start": 2082,
"end": 2370
} | class ____:
"""Regression test for issue 4638"""
def __init__(self):
type(self).__a()
self.__b()
Bla.__c()
@classmethod
def __a(cls):
pass
@classmethod
def __b(cls):
pass
@classmethod
def __c(cls):
pass
| Bla |
python | plotly__plotly.py | plotly/graph_objs/scatterpolar/unselected/_marker.py | {
"start": 233,
"end": 4076
} | class ____(_BaseTraceHierarchyType):
_parent_path_str = "scatterpolar.unselected"
_path_str = "scatterpolar.unselected.marker"
_valid_props = {"color", "opacity", "size"}
@property
def color(self):
"""
Sets the marker color of unselected points, applied only when a
selection... | Marker |
python | charliermarsh__ruff | crates/ruff_linter/resources/test/fixtures/pyflakes/F701.py | {
"start": 150,
"end": 179
} | class ____:
break
break
| Foo |
python | tensorflow__tensorflow | tensorflow/python/ops/image_ops_test.py | {
"start": 203929,
"end": 205222
} | class ____(test_util.TensorFlowTestCase):
def testFormats(self):
prefix = "tensorflow/core/lib"
paths = ("png/testdata/lena_gray.png", "jpeg/testdata/jpeg_merge_test1.jpg",
"gif/testdata/lena.gif")
decoders = {
"jpeg": functools.partial(image_ops.decode_jpeg, channels=3),
"pn... | FormatTest |
python | walkccc__LeetCode | solutions/733. Flood Fill/733.py | {
"start": 0,
"end": 535
} | class ____:
def floodFill(self, image: list[list[int]],
sr: int, sc: int, newColor: int) -> list[list[int]]:
startColor = image[sr][sc]
seen = set()
def dfs(i: int, j: int) -> None:
if i < 0 or i == len(image) or j < 0 or j == len(image[0]):
return
if image[i][j] != st... | Solution |
python | keras-team__keras | keras/src/callbacks/swap_ema_weights.py | {
"start": 202,
"end": 6843
} | class ____(Callback):
"""Swaps model weights and EMA weights before and after evaluation.
This callbacks replaces the model's weight values with the values of
the optimizer's EMA weights (the exponential moving average of the past
model weights values, implementing "Polyak averaging") before model
... | SwapEMAWeights |
python | spyder-ide__spyder | spyder/plugins/run/confpage.py | {
"start": 6042,
"end": 18578
} | class ____(PluginConfigPage):
"""Default Run Settings configuration page."""
def setup_page(self):
self._params_to_delete = {}
# --- Executors tab ---
self.plugin_container: RunContainer = self.plugin.get_container()
self.executor_model = RunExecutorNamesListModel(
... | RunConfigPage |
python | getsentry__sentry | src/sentry/services/eventstore/reprocessing/base.py | {
"start": 98,
"end": 2279
} | class ____(Service):
__all__ = (
"event_count_for_hashes",
"pop_batched_events",
"pop_batched_events_by_key",
"get_old_primary_hashes",
"expire_hash",
"add_hash",
"get_remaining_event_count",
"rename_key",
"mark_event_reprocessed",
"sta... | ReprocessingStore |
python | numba__numba | numba/tests/test_listobject.py | {
"start": 24373,
"end": 25252
} | class ____(MemoryLeakMixin, TestCase):
"""Test list contains. """
def test_list_contains_empty(self):
@njit
def foo(i):
l = listobject.new_list(int32)
return i in l
self.assertFalse(foo(0))
self.assertFalse(foo(1))
def test_list_contains_singleton(s... | TestContains |
python | walkccc__LeetCode | solutions/116. Populating Next Right Pointers in Each Node/116.py | {
"start": 0,
"end": 375
} | class ____:
def connect(self, root: 'Node | None') -> 'Node | None':
if not root:
return None
def connectTwoNodes(p, q) -> None:
if not p:
return
p.next = q
connectTwoNodes(p.left, p.right)
connectTwoNodes(q.left, q.right)
connectTwoNodes(p.right, q.left)
conn... | Solution |
python | readthedocs__readthedocs.org | readthedocs/projects/views/private.py | {
"start": 28540,
"end": 28651
} | class ____(ProjectRedirectsMixin, CreateView):
success_message = _("Redirect created")
| ProjectRedirectsCreate |
python | apache__airflow | providers/oracle/src/airflow/providers/oracle/hooks/oracle.py | {
"start": 1916,
"end": 22250
} | class ____(DbApiHook):
"""
Interact with Oracle SQL.
:param oracle_conn_id: The :ref:`Oracle connection id <howto/connection:oracle>`
used for Oracle credentials.
:param thick_mode: Specify whether to use python-oracledb in thick mode. Defaults to False.
If set to True, you must have th... | OracleHook |
python | conda__conda | tests/plugins/test_env_specs.py | {
"start": 355,
"end": 610
} | class ____(EnvironmentSpecBase):
def __init__(self, source: str):
self.source = source
def can_handle(self):
raise TypeError("This is a naughty spec")
def env(self):
raise TypeError("This is a naughty spec")
| NaughtySpec |
python | allegroai__clearml | clearml/backend_api/services/v2_13/models.py | {
"start": 18489,
"end": 21098
} | class ____(Request):
"""
Add or update model metadata
:param model: ID of the model
:type model: str
:param metadata: Metadata items to add or update
:type metadata: Metadata
"""
_service = "models"
_action = "add_or_update_metadata"
_version = "2.13"
_schema = {
"de... | AddOrUpdateMetadataRequest |
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