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 | readthedocs__readthedocs.org | readthedocs/api/v3/serializers.py | {
"start": 6975,
"end": 7462
} | class ____(serializers.Serializer):
id = serializers.SlugField()
header = serializers.CharField(source="get_rendered_header")
body = serializers.CharField(source="get_rendered_body")
type = serializers.CharField()
icon_classes = serializers.CharField(source="get_display_icon_classes")
class Met... | NotificationMessageSerializer |
python | tensorflow__tensorflow | tensorflow/compiler/mlir/tfr/python/op_reg_gen.py | {
"start": 4219,
"end": 5076
} | class ____(transpiler.GenericTranspiler):
"""Transforms Python objects into TFR MLIR source code."""
def transform_ast(self, node, ctx):
gen = OpRegGenImpl(ctx)
gen.visit(node)
return gen.code_buffer
def op_reg_gen(func):
"""Parse a function and emit the TFR functions."""
op_reg_code, _ = OpRegGe... | OpRegGen |
python | pyodide__pyodide | src/py/_pyodide/_core_docs.py | {
"start": 23845,
"end": 27484
} | class ____(JsIterable[T_co], Generic[T_co, T_contra, V_co]):
"""A JavaScript generator
A JavaScript object is treated as a generator if its
:js:data:`Symbol.toStringTag` is ``"Generator"``. Most likely this will be
because it is a true :js:class:`Generator` produced by the JavaScript
runtime, but i... | JsGenerator |
python | scipy__scipy | scipy/spatial/tests/test_distance.py | {
"start": 57809,
"end": 61090
} | class ____:
def setup_method(self):
# 1D arrays
x = np.array([1.0, 2.0, 3.0])
y = np.array([1.0, 1.0, 5.0])
self.cases = [(x, y)]
def test_minkowski(self):
for x, y in self.cases:
dist1 = minkowski(x, y, p=1)
assert_almost_equal(dist1, 3.0)
... | TestSomeDistanceFunctions |
python | PyCQA__isort | tests/unit/profiles/test_django.py | {
"start": 1682,
"end": 3687
} | class ____:
def __repr__(self):
return '<Deferred field>'
def __str__(self):
return '<Deferred field>'"""
)
def test_django_snippet_two():
django_isort_test(
'''from django.utils.version import get_version
VERSION = (3, 2, 0, 'alpha', 0)
__version__ = get_version(VERSION)
... | Deferred |
python | kamyu104__LeetCode-Solutions | Python/merge-similar-items.py | {
"start": 71,
"end": 357
} | class ____(object):
def mergeSimilarItems(self, items1, items2):
"""
:type items1: List[List[int]]
:type items2: List[List[int]]
:rtype: List[List[int]]
"""
return sorted((Counter(dict(items1))+Counter(dict(items2))).iteritems())
| Solution |
python | gevent__gevent | src/gevent/events.py | {
"start": 15170,
"end": 15569
} | class ____(_PatchAllMixin, GeventWillPatchEvent):
"""
Implementation of `IGeventWillPatchAllEvent`.
"""
#: The name of the setuptools entry point that is called when this
#: event is emitted.
ENTRY_POINT_NAME = 'gevent.plugins.monkey.will_patch_all'
def will_patch_module(self, module_name)... | GeventWillPatchAllEvent |
python | networkx__networkx | networkx/utils/tests/test_mapped_queue.py | {
"start": 5344,
"end": 7354
} | class ____(TestMappedQueue):
def _make_mapped_queue(self, h):
priority_dict = {elt: elt for elt in h}
return MappedQueue(priority_dict)
def test_init(self):
d = {5: 0, 4: 1, "a": 2, 2: 3, 1: 4}
q = MappedQueue(d)
assert q.position == d
def test_ties(self):
d... | TestMappedDict |
python | altair-viz__altair | altair/utils/_vegafusion_data.py | {
"start": 2059,
"end": 9660
} | class ____(TypedDict):
url: str
_VegaFusionReturnType = Union[_ToVegaFusionReturnUrlDict, ToValuesReturnType]
@overload
def vegafusion_data_transformer(
data: None = ..., max_rows: int = ...
) -> Callable[..., Any]: ...
@overload
def vegafusion_data_transformer(
data: DataFrameLike, max_rows: int = ..... | _ToVegaFusionReturnUrlDict |
python | bokeh__bokeh | src/bokeh/protocol/messages/pull_doc_reply.py | {
"start": 1591,
"end": 1635
} | class ____(TypedDict):
doc: DocJson
| PullDoc |
python | ray-project__ray | release/ray_release/tests/test_test.py | {
"start": 787,
"end": 17740
} | class ____(dict):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
def get_name(self) -> str:
return self.get("name", "")
def get_test_results(self, limit: int) -> List[TestResult]:
return self.get("test_results", [])
def is_high_impact(self) -> bool:
... | MockTest |
python | sqlalchemy__sqlalchemy | lib/sqlalchemy/sql/annotation.py | {
"start": 6911,
"end": 18370
} | class ____(SupportsAnnotations):
"""clones a SupportsAnnotations and applies an 'annotations' dictionary.
Unlike regular clones, this clone also mimics __hash__() and
__eq__() of the original element so that it takes its place
in hashed collections.
A reference to the original element is maintaine... | Annotated |
python | getsentry__sentry | src/sentry/overwatch_webhooks/overwatch_consent/impl.py | {
"start": 563,
"end": 1930
} | class ____(OverwatchConsentService):
def get_organization_consent_status(
self, *, organization_ids: list[int], region_name: str
) -> dict[int, RpcOrganizationConsentStatus]:
"""
Get consent status for multiple organizations in a region.
Consent is determined by the combination ... | DatabaseBackedOverwatchConsentService |
python | tornadoweb__tornado | tornado/httpserver.py | {
"start": 1510,
"end": 10551
} | class ____(TCPServer, Configurable, httputil.HTTPServerConnectionDelegate):
r"""A non-blocking, single-threaded HTTP server.
A server is defined by a subclass of `.HTTPServerConnectionDelegate`,
or, for backwards compatibility, a callback that takes an
`.HTTPServerRequest` as an argument. The delegate ... | HTTPServer |
python | automl__auto-sklearn | autosklearn/metalearning/metafeatures/metafeatures.py | {
"start": 39558,
"end": 47570
} | class ____(MetaFeature):
def _calculate(self, X, y, logger, feat_type):
pca_ = helper_functions.get_value("PCA")
if pca_ is None:
return np.NaN
components = pca_.components_
pca_.components_ = components[:1]
transformed = pca_.transform(X)
pca_.components_... | PCASkewnessFirstPC |
python | mlflow__mlflow | mlflow/genai/evaluation/context.py | {
"start": 1418,
"end": 4020
} | class ____(Context):
"""
Context for eval execution.
NOTE: This class is not covered by unit tests and is meant to be tested through
smoke tests that run this code on an actual Databricks cluster.
"""
def __init__(self):
self._run_id = None
self._context_tags = context_registry... | RealContext |
python | dagster-io__dagster | python_modules/libraries/dagster-pandas/dagster_pandas/constraints.py | {
"start": 43293,
"end": 44687
} | class ____(ColumnConstraint):
"""A column constraint that ensures all values in a pandas column are greater than the provided
lower bound [inclusive].
Args:
min_value (Union[int, float, datetime.datetime]): The lower bound.
ignore_missing_vals (bool): If true, this constraint will enforce t... | MinValueColumnConstraint |
python | fluentpython__example-code-2e | 21-async/mojifinder/bottle.py | {
"start": 90572,
"end": 91019
} | class ____(object):
''' This only exists to be able to attach a .close method to iterators that
do not support attribute assignment (most of itertools). '''
def __init__(self, iterator, close=None):
self.iterator = iterator
self.close_callbacks = makelist(close)
def __iter__(self):... | _closeiter |
python | pypa__pip | src/pip/_vendor/rich/pretty.py | {
"start": 8147,
"end": 14333
} | class ____(JupyterMixin):
"""A rich renderable that pretty prints an object.
Args:
_object (Any): An object to pretty print.
highlighter (HighlighterType, optional): Highlighter object to apply to result, or None for ReprHighlighter. Defaults to None.
indent_size (int, optional): Number... | Pretty |
python | RaRe-Technologies__gensim | gensim/test/test_aggregation.py | {
"start": 372,
"end": 797
} | class ____(unittest.TestCase):
def setUp(self):
self.confirmed_measures = [1.1, 2.2, 3.3, 4.4]
def test_arithmetic_mean(self):
"""Test arithmetic_mean()"""
obtained = aggregation.arithmetic_mean(self.confirmed_measures)
expected = 2.75
self.assertEqual(obtained, expected... | TestAggregation |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-shopify/source_shopify/streams/base_streams.py | {
"start": 20685,
"end": 21108
} | class ____(IncrementalShopifySubstream):
slice_key = "id"
data_field = "metafields"
parent_stream_class: Union[ShopifyStream, IncrementalShopifyStream] = None
def path(self, stream_slice: Optional[Mapping[str, Any]] = None, **kwargs) -> str:
object_id = stream_slice[self.slice_key]
ret... | MetafieldShopifySubstream |
python | sqlalchemy__sqlalchemy | lib/sqlalchemy/testing/plugin/pytestplugin.py | {
"start": 5907,
"end": 21646
} | class ____:
def pytest_configure_node(self, node):
from sqlalchemy.testing import provision
from sqlalchemy.testing import asyncio
# the master for each node fills workerinput dictionary
# which pytest-xdist will transfer to the subprocess
plugin_base.memoize_important_foll... | XDistHooks |
python | urllib3__urllib3 | src/urllib3/util/ssl_match_hostname.py | {
"start": 479,
"end": 5845
} | class ____(ValueError):
pass
def _dnsname_match(
dn: typing.Any, hostname: str, max_wildcards: int = 1
) -> typing.Match[str] | None | bool:
"""Matching according to RFC 6125, section 6.4.3
http://tools.ietf.org/html/rfc6125#section-6.4.3
"""
pats = []
if not dn:
return False
... | CertificateError |
python | tensorflow__tensorflow | tensorflow/python/keras/layers/core.py | {
"start": 55730,
"end": 56442
} | class ____(dispatch.GlobalOpDispatcher):
"""A global dispatcher that allows building a functional model with TF Ops."""
def handle(self, op, args, kwargs):
"""Handle the specified operation with the specified arguments."""
if any(
isinstance(x, keras_tensor.KerasTensor)
for x in nest.flatte... | KerasOpDispatcher |
python | PrefectHQ__prefect | src/integrations/prefect-databricks/tests/test_rest.py | {
"start": 1381,
"end": 1464
} | class ____(BaseModel):
some_float: float
some_bool: bool
| TestAnotherBaseModel |
python | huggingface__transformers | src/transformers/models/squeezebert/modeling_squeezebert.py | {
"start": 4987,
"end": 5371
} | class ____(nn.Module):
"""
ConvActivation: Conv, Activation
"""
def __init__(self, cin, cout, groups, act):
super().__init__()
self.conv1d = nn.Conv1d(in_channels=cin, out_channels=cout, kernel_size=1, groups=groups)
self.act = ACT2FN[act]
def forward(self, x):
outp... | ConvActivation |
python | dagster-io__dagster | python_modules/dagster/dagster/_core/system_config/objects.py | {
"start": 1605,
"end": 2328
} | class ____(NamedTuple):
"""Outputs are configured as a dict if any of the outputs have an output manager with an
output_config_schema, and a list otherwise.
"""
config: Optional[Union[dict, list]]
@property
def output_names(self) -> AbstractSet[str]:
if isinstance(self.config, list):
... | OutputsConfig |
python | getsentry__sentry | tests/sentry/models/test_organization.py | {
"start": 7042,
"end": 19747
} | class ____(TestCase, HybridCloudTestMixin):
def setUp(self) -> None:
self.owner = self.create_user("foo@example.com")
with assume_test_silo_mode(SiloMode.CONTROL):
TotpInterface().enroll(self.owner)
self.org = self.create_organization(owner=self.owner)
self.request = self... | Require2fa |
python | readthedocs__readthedocs.org | readthedocs/organizations/tests/test_forms.py | {
"start": 1126,
"end": 5550
} | class ____(OrganizationTestCase):
def test_add_team_member_by_name(self):
url = reverse(
"organization_team_member_add",
args=[self.organization.slug, self.team.slug],
)
resp = self.client.post(url, data={"username_or_email": self.user.username})
self.assertEq... | OrganizationTeamMemberFormTests |
python | joke2k__faker | faker/providers/date_time/en_PH/__init__.py | {
"start": 46,
"end": 144
} | class ____(DateTimeProvider):
"""No difference from default DateTimeProvider"""
pass
| Provider |
python | altair-viz__altair | altair/vegalite/v6/schema/core.py | {
"start": 1146664,
"end": 1147107
} | class ____(ScaleInvalidDataShowAsstrokeWidth):
"""
ScaleInvalidDataShowAsValuestrokeWidth schema wrapper.
Parameters
----------
value : float
The stroke width, in pixels.
"""
_schema = {"$ref": '#/definitions/ScaleInvalidDataShowAsValue<"strokeWidth">'}
def __init__(self, valu... | ScaleInvalidDataShowAsValuestrokeWidth |
python | getsentry__sentry | src/sentry/web/frontend/react_page.py | {
"start": 9015,
"end": 9235
} | class ____(GenericReactPageView):
auth_required = False
def handle_auth_required(self, request: HttpRequest, *args, **kwargs) -> HttpResponse:
raise Exception("This should not be called")
| AuthV2ReactPageView |
python | neetcode-gh__leetcode | python/0088-merge-sorted-array.py | {
"start": 0,
"end": 455
} | class ____:
def merge(self, nums1: List[int], m: int, nums2: List[int], n: int) -> None:
"""
Do not return anything, modify nums1 in-place instead.
"""
while m > 0 and n > 0:
if nums1[m-1] >= nums2[n-1]:
nums1[m+n-1] = nums1[m-1]
m -= 1
... | Solution |
python | huggingface__transformers | src/transformers/models/phimoe/modular_phimoe.py | {
"start": 12689,
"end": 12955
} | class ____(MixtralPreTrainedModel):
_can_record_outputs = {
"router_logits": OutputRecorder(PhimoeTopKRouter, layer_name="mlp.router", index=0),
"hidden_states": PhimoeDecoderLayer,
"attentions": PhimoeAttention,
}
| PhimoePreTrainedModel |
python | mkdocs__mkdocs | mkdocs/structure/nav.py | {
"start": 532,
"end": 1401
} | class ____:
def __init__(self, items: list, pages: list[Page]) -> None:
self.items = items # Nested List with full navigation of Sections, Pages, and Links.
self.pages = pages # Flat List of subset of Pages in nav, in order.
self.homepage = None
for page in pages:
if p... | Navigation |
python | huggingface__transformers | tests/models/swinv2/test_modeling_swinv2.py | {
"start": 17364,
"end": 20373
} | class ____(unittest.TestCase):
@cached_property
def default_image_processor(self):
return (
AutoImageProcessor.from_pretrained("microsoft/swinv2-tiny-patch4-window8-256")
if is_vision_available()
else None
)
@slow
def test_inference_image_classificati... | Swinv2ModelIntegrationTest |
python | django__django | django/contrib/gis/geos/prototypes/io.py | {
"start": 2274,
"end": 3059
} | class ____(GEOSFuncFactory):
# Although the function definitions take `const unsigned char *`
# as their parameter, we use c_char_p here so the function may
# take Python strings directly as parameters. Inside Python there
# is not a difference between signed and unsigned characters, so
# it is not ... | WKBReadFunc |
python | getsentry__sentry | src/sentry/workflow_engine/models/detector.py | {
"start": 1785,
"end": 8398
} | class ____(DefaultFieldsModel, OwnerModel, JSONConfigBase):
__relocation_scope__ = RelocationScope.Organization
objects: ClassVar[DetectorManager] = DetectorManager()
objects_for_deletion: ClassVar[BaseManager] = BaseManager()
project = FlexibleForeignKey("sentry.Project", on_delete=models.CASCADE)
... | Detector |
python | dagster-io__dagster | python_modules/dagster/dagster/_core/errors.py | {
"start": 26227,
"end": 26360
} | class ____(Exception):
"""Indicates that an error occurred during the execution of an external process."""
| DagsterPipesExecutionError |
python | numba__numba | numba/core/typing/npydecl.py | {
"start": 807,
"end": 7336
} | class ____(AbstractTemplate):
@classmethod
def _handle_inputs(cls, ufunc, args, kws):
"""
Process argument types to a given *ufunc*.
Returns a (base types, explicit outputs, ndims, layout) tuple where:
- `base types` is a tuple of scalar types for each input
- `explicit o... | Numpy_rules_ufunc |
python | tensorflow__tensorflow | tensorflow/python/ops/variable_scope.py | {
"start": 2037,
"end": 6470
} | class ____:
"""Holds partition info used by initializer functions."""
__slots__ = ["_full_shape", "_var_offset"]
def __init__(self, full_shape, var_offset):
"""Constructor.
Args:
full_shape: Tuple or list of `int` indicating the full combined shape of
the partitioned variables.
var_... | _PartitionInfo |
python | pytorch__pytorch | torch/_dynamo/variables/ctx_manager.py | {
"start": 9836,
"end": 11197
} | class ____(ContextWrappingVariable):
"""represents torch._functorch.pyfunction.temporarily_pop_interpreter_stack()"""
@staticmethod
def create(
tx: "InstructionTranslator", target_values: Any, **kwargs: Any
) -> "TemporarilyPopInterpreterStackCtxManagerVariable":
return TemporarilyPopIn... | TemporarilyPopInterpreterStackCtxManagerVariable |
python | pyinstaller__pyinstaller | tests/unit/test_modulegraph/test_imports.py | {
"start": 2400,
"end": 12782
} | class ____ (unittest.TestCase):
if not hasattr(unittest.TestCase, 'assertIsInstance'):
def assertIsInstance(self, value, types):
if not isinstance(value, types):
self.fail("%r is not an instance of %r"%(value, types))
def setUp(self):
root = os.path.join(
... | TestModuleGraphImport |
python | huggingface__transformers | tests/tokenization/test_tokenization_utils.py | {
"start": 1238,
"end": 15710
} | class ____(unittest.TestCase):
def check_tokenizer_from_pretrained(self, tokenizer_class):
# max_model_input_sizes is a legacy attribute that may not exist on all tokenizers
if not hasattr(tokenizer_class, "max_model_input_sizes"):
return
s3_models = list(tokenizer_class.max_mod... | TokenizerUtilsTest |
python | numba__llvmlite | llvmlite/binding/module.py | {
"start": 7097,
"end": 7305
} | class ____(_Iterator):
kind = 'global'
def _dispose(self):
self._capi.LLVMPY_DisposeGlobalsIter(self)
def _next(self):
return ffi.lib.LLVMPY_GlobalsIterNext(self)
| _GlobalsIterator |
python | kamyu104__LeetCode-Solutions | Python/number-of-increasing-paths-in-a-grid.py | {
"start": 70,
"end": 1467
} | class ____(object):
def countPaths(self, grid):
"""
:type grid: List[List[int]]
:rtype: int
"""
MOD = 10**9+7
directions = [(0, 1), (1, 0), (0, -1), (-1, 0)]
in_degree = [[0]*len(grid[0]) for _ in xrange(len(grid))]
q = []
for i in xrange(len(g... | Solution |
python | microsoft__pyright | packages/pyright-internal/src/tests/samples/protocol3.py | {
"start": 4671,
"end": 4757
} | class ____(Protocol):
@property
def prop1(self) -> int:
return 0
| Proto15 |
python | mlflow__mlflow | mlflow/server/auth/config.py | {
"start": 143,
"end": 1036
} | class ____(NamedTuple):
default_permission: str
database_uri: str
admin_username: str
admin_password: str
authorization_function: str
def _get_auth_config_path() -> str:
return (
MLFLOW_AUTH_CONFIG_PATH.get() or Path(__file__).parent.joinpath("basic_auth.ini").resolve()
)
def rea... | AuthConfig |
python | run-llama__llama_index | llama-index-integrations/readers/llama-index-readers-service-now/llama_index/readers/service_now/event.py | {
"start": 982,
"end": 1349
} | class ____(BaseEvent):
"""Event fired when page data fetch completes successfully."""
page_id: str = Field(description="ID of the page that was fetched")
document: Document = Field(description="The processed document")
metadata: Dict[str, Any] = Field(
default_factory=dict, description="Additio... | SNOWKBPageFetchCompletedEvent |
python | pytorch__pytorch | torch/testing/_internal/distributed/multi_threaded_pg.py | {
"start": 3429,
"end": 5070
} | class ____:
@torch.no_grad()
def work(self, data):
world_size = len(data)
for dest_rank in range(world_size):
output_buffer, _, output_split_sizes, _ = data[dest_rank]
output_indexes = self._size_cumsum(
output_buffer.size(0), output_split_sizes, world_si... | AllToAllBase |
python | numpy__numpy | numpy/f2py/symbolic.py | {
"start": 1294,
"end": 1613
} | class ____(Enum):
"""
Used as Expr op attribute.
"""
INTEGER = 10
REAL = 12
COMPLEX = 15
STRING = 20
ARRAY = 30
SYMBOL = 40
TERNARY = 100
APPLY = 200
INDEXING = 210
CONCAT = 220
RELATIONAL = 300
TERMS = 1000
FACTORS = 2000
REF = 3000
DEREF = 3001
... | Op |
python | ray-project__ray | python/ray/llm/_internal/common/callbacks/base.py | {
"start": 398,
"end": 1505
} | class ____:
"""
Context object passed to all callback hooks.
Callbacks can read and modify fields as needed.
"""
worker_node_download_model: Optional["NodeModelDownloadable"] = None
"""Model download configuration for worker nodes. Used to specify how
models should be downloaded and cached ... | CallbackCtx |
python | huggingface__transformers | src/transformers/models/nystromformer/modeling_nystromformer.py | {
"start": 17406,
"end": 17592
} | class ____(PreTrainedModel):
config: NystromformerConfig
base_model_prefix = "nystromformer"
supports_gradient_checkpointing = True
@auto_docstring
| NystromformerPreTrainedModel |
python | encode__django-rest-framework | tests/test_generics.py | {
"start": 24270,
"end": 25231
} | class ____(TestCase):
def test_serializer_class_not_provided(self):
class NoSerializerClass(generics.GenericAPIView):
pass
with pytest.raises(AssertionError) as excinfo:
NoSerializerClass().get_serializer_class()
assert str(excinfo.value) == (
"'NoSeria... | TestSerializer |
python | PyCQA__pylint | tests/functional/e/enum_self_defined_member_6805.py | {
"start": 317,
"end": 582
} | class ____(metaclass=Foo):
def __new__(cls):
return Parent.__new__(cls)
def __getattr__(self, item):
return item
def magic(self):
return self.dynamic
NotEnumHasDynamicGetAttrMetaclass().magic()
| NotEnumHasDynamicGetAttrMetaclass |
python | sympy__sympy | sympy/stats/joint_rv_types.py | {
"start": 4652,
"end": 8222
} | class ____(JointDistribution):
_argnames = ('mu', 'sigma')
is_Continuous=True
@property
def set(self):
k = self.mu.shape[0]
return S.Reals**k
@staticmethod
def check(mu, sigma):
_value_check(mu.shape[0] == sigma.shape[0],
"Size of the mean vector and covari... | MultivariateNormalDistribution |
python | python__mypy | mypyc/test/test_run.py | {
"start": 16379,
"end": 18037
} | class ____(TestRun):
"""Run the tests with strict dunder typing."""
strict_dunder_typing = True
test_name_suffix = "_dunder_typing"
files = ["run-dunders.test", "run-floats.test"]
def fix_native_line_number(message: str, fnam: str, delta: int) -> str:
"""Update code locations in test case output ... | TestRunStrictDunderTyping |
python | pytorch__pytorch | test/test_testing.py | {
"start": 32686,
"end": 33664
} | class ____(TestCase):
@deviceCountAtLeast(1)
def test_mismatching_device(self, devices):
for actual_device, expected_device in itertools.permutations(("cpu", *devices), 2):
actual = torch.empty((), device=actual_device)
expected = actual.clone().to(expected_device)
fo... | TestAssertCloseMultiDevice |
python | networkx__networkx | networkx/readwrite/text.py | {
"start": 221,
"end": 424
} | class ____:
@classmethod
def as_dict(cls):
return {
a: getattr(cls, a)
for a in dir(cls)
if not a.startswith("_") and a != "as_dict"
}
| BaseGlyphs |
python | doocs__leetcode | solution/0300-0399/0398.Random Pick Index/Solution.py | {
"start": 0,
"end": 469
} | class ____:
def __init__(self, nums: List[int]):
self.nums = nums
def pick(self, target: int) -> int:
n = ans = 0
for i, v in enumerate(self.nums):
if v == target:
n += 1
x = random.randint(1, n)
if x == n:
... | Solution |
python | dask__dask | dask/dataframe/dask_expr/_expr.py | {
"start": 59281,
"end": 59659
} | class ____(Elemwise):
_parameters = ["frame", "skipna", "ddof", "numeric_only"]
_defaults = {"skipna": True, "ddof": 1, "numeric_only": False}
_keyword_only = ["skipna", "ddof", "numeric_only"]
operation = M.var
_is_length_preserving = True
@functools.cached_property
def _kwargs(self) -> di... | VarColumns |
python | huggingface__transformers | tests/models/gpt_neox/test_modeling_gpt_neox.py | {
"start": 11245,
"end": 14626
} | class ____(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixin, unittest.TestCase):
all_model_classes = (
(
GPTNeoXModel,
GPTNeoXForCausalLM,
GPTNeoXForQuestionAnswering,
GPTNeoXForSequenceClassification,
GPTNeoXForTokenClassification,
... | GPTNeoXModelTest |
python | jina-ai__jina | jina/serve/runtimes/asyncio.py | {
"start": 1133,
"end": 15380
} | class ____:
"""
Runtime to make sure that a server can asynchronously run inside a new asynchronous loop. It will make sure that the server is run forever while handling the TERMINATE signals
to be received by the orchestrator to shutdown the server and its resources.
"""
def __init__(
self... | AsyncNewLoopRuntime |
python | huggingface__transformers | src/transformers/models/video_llama_3/configuration_video_llama_3.py | {
"start": 1256,
"end": 4210
} | class ____(PreTrainedConfig):
"""
This is the configuration class to store the configuration of a [`VideoLlama3VisionModel`]. It is used to instantiate a
VideoLLaMA3 vision encoder model according to the specified arguments, defining the model architecture. Instantiating a configuration
with the default... | VideoLlama3VisionConfig |
python | numba__numba | numba/core/datamodel/models.py | {
"start": 36175,
"end": 37964
} | class ____(CompositeModel):
def __init__(self, dmm, fe_type):
super(GeneratorModel, self).__init__(dmm, fe_type)
# XXX Fold this in DataPacker?
self._arg_models = [self._dmm.lookup(t) for t in fe_type.arg_types
if not isinstance(t, types.Omitted)]
self._st... | GeneratorModel |
python | networkx__networkx | networkx/algorithms/components/tests/test_weakly_connected.py | {
"start": 83,
"end": 3083
} | class ____:
@classmethod
def setup_class(cls):
cls.gc = []
G = nx.DiGraph()
G.add_edges_from(
[
(1, 2),
(2, 3),
(2, 8),
(3, 4),
(3, 7),
(4, 5),
(5, 3),
... | TestWeaklyConnected |
python | neetcode-gh__leetcode | python/0025-reverse-nodes-in-k-group.py | {
"start": 0,
"end": 772
} | class ____:
def reverseKGroup(self, head: ListNode, k: int) -> ListNode:
dummy = ListNode(0, head)
groupPrev = dummy
while True:
kth = self.getKth(groupPrev, k)
if not kth:
break
groupNext = kth.next
# reverse group
... | Solution |
python | tensorflow__tensorflow | tensorflow/python/tools/api/generator2/shared/exported_api.py | {
"start": 1546,
"end": 3278
} | class ____(object):
"""ExportedApi is a collection of ExportedSymbols."""
_docs: set[ExportedDoc]
_symbols: set[ExportedSymbol]
def __init__(
self,
*,
docs: Iterable[ExportedDoc] = (),
symbols: Iterable[ExportedSymbol] = (),
):
self._docs = set(docs)
self._symbols = set(symbo... | ExportedApi |
python | streamlit__streamlit | lib/streamlit/elements/widgets/color_picker.py | {
"start": 1896,
"end": 10028
} | class ____:
@gather_metrics("color_picker")
def color_picker(
self,
label: str,
value: str | None = None,
key: Key | None = None,
help: str | None = None,
on_change: WidgetCallback | None = None,
args: WidgetArgs | None = None,
kwargs: WidgetKwargs... | ColorPickerMixin |
python | pydata__xarray | xarray/coding/common.py | {
"start": 1709,
"end": 5083
} | class ____(indexing.ExplicitlyIndexedNDArrayMixin):
"""Lazily computed array holding values of elemwise-function.
Do not construct this object directly: call lazy_elemwise_func instead.
Values are computed upon indexing or coercion to a NumPy array.
"""
def __init__(self, array, func: Callable, d... | _ElementwiseFunctionArray |
python | pyparsing__pyparsing | examples/adventureEngine.py | {
"start": 6888,
"end": 7605
} | class ____(Command):
def __init__(self, quals):
super().__init__("EXAMINE", "examining")
self.subject = Item.items[quals.item]
@staticmethod
def help_description():
return "EXAMINE or EX or X - look closely at an object"
def _do_command(self, player):
msg = random.choic... | ExamineCommand |
python | pypa__pipenv | pipenv/patched/pip/_vendor/rich/__main__.py | {
"start": 744,
"end": 8499
} | class ____:
def __rich_console__(
self, console: Console, options: ConsoleOptions
) -> RenderResult:
for y in range(0, 5):
for x in range(options.max_width):
h = x / options.max_width
l = 0.1 + ((y / 5) * 0.7)
r1, g1, b1 = colorsys.hls_... | ColorBox |
python | pallets__jinja | src/jinja2/utils.py | {
"start": 22949,
"end": 23239
} | class ____:
"""A joining helper for templates."""
def __init__(self, sep: str = ", ") -> None:
self.sep = sep
self.used = False
def __call__(self) -> str:
if not self.used:
self.used = True
return ""
return self.sep
| Joiner |
python | dagster-io__dagster | python_modules/libraries/dagster-airbyte/dagster_airbyte/components/workspace_component/component.py | {
"start": 6652,
"end": 7898
} | class ____(dg.Model):
by_id: Annotated[
Sequence[str],
pydantic.Field(..., description="A list of connection IDs to include in the collection."),
]
def resolve_connection_selector(
context: dg.ResolutionContext, model
) -> Optional[Callable[[AirbyteConnection], bool]]:
if isinstance(mo... | AirbyteConnectionSelectorById |
python | getsentry__sentry | tests/sentry/workflow_engine/endpoints/test_validators.py | {
"start": 3420,
"end": 3773
} | class ____(BaseDataConditionGroupValidator):
conditions = serializers.ListField(required=True)
def validate_conditions(self, value: list[dict[str, Any]]) -> list[dict[str, Any]]:
for condition in value:
MockDataConditionValidator(data=condition).is_valid(raise_exception=True)
retur... | MockConditionGroupValidator |
python | google__pytype | pytype/tools/environment_test.py | {
"start": 2092,
"end": 2772
} | class ____(unittest.TestCase):
"""Tests for {do_x}_or_die() methods.
Since whether these functions complete successfully depends on one's
particular environment, these tests allow either succeeding or raising
SystemExit. Any other exception will cause a test failure.
"""
def _test(self, method, *args):
... | TestDoXOrDie |
python | doocs__leetcode | solution/0200-0299/0278.First Bad Version/Solution.py | {
"start": 95,
"end": 350
} | class ____:
def firstBadVersion(self, n: int) -> int:
l, r = 1, n
while l < r:
mid = (l + r) >> 1
if isBadVersion(mid):
r = mid
else:
l = mid + 1
return l
| Solution |
python | celery__celery | t/unit/utils/test_time.py | {
"start": 8349,
"end": 9229
} | class ____:
def test_standard_tz(self):
tz = tzinfo()
wtz = make_aware(datetime.now(_timezone.utc), tz)
assert wtz.tzinfo == tz
def test_tz_when_zoneinfo(self):
tz = ZoneInfo('US/Eastern')
wtz = make_aware(datetime.now(_timezone.utc), tz)
assert wtz.tzinfo == tz... | test_make_aware |
python | apache__airflow | providers/google/tests/unit/google/cloud/triggers/test_dataproc.py | {
"start": 21399,
"end": 25676
} | class ____:
def test_submit_trigger_serialization(self, submit_trigger):
"""Test that the trigger serializes its configuration correctly."""
classpath, kwargs = submit_trigger.serialize()
assert classpath == "airflow.providers.google.cloud.triggers.dataproc.DataprocSubmitTrigger"
ass... | TestDataprocSubmitTrigger |
python | airbytehq__airbyte | airbyte-ci/connectors/metadata_service/lib/metadata_service/gcs_upload.py | {
"start": 1226,
"end": 1330
} | class ____:
id: str
uploaded: bool
blob_id: Optional[str]
@dataclass(frozen=True)
| UploadedFile |
python | matplotlib__matplotlib | lib/matplotlib/transforms.py | {
"start": 72455,
"end": 73563
} | class ____(Affine2DBase):
"""
A special class that does one thing, the identity transform, in a
fast way.
"""
_mtx = np.identity(3)
def frozen(self):
# docstring inherited
return self
__str__ = _make_str_method()
def get_matrix(self):
# docstring inherited
... | IdentityTransform |
python | getsentry__sentry | src/sentry/integrations/slack/service.py | {
"start": 4604,
"end": 26257
} | class ____:
"""
Slack service is the main entry point for all business logic related to Slack.
We will consolidate the Slack logic in here to create an easier interface to interact with, and not worry about
figuring out which specific class or object you need, how to create them, in which order, and wha... | SlackService |
python | coleifer__peewee | peewee.py | {
"start": 25711,
"end": 26489
} | class ____(object):
def __init__(self, table, database):
self.table = table
self.database = database
def __call__(self, fn):
@wraps(fn)
def inner(*args, **kwargs):
with _BoundTableContext(self.table, self.database):
return fn(*args, **kwargs)
... | _BoundTableContext |
python | tensorflow__tensorflow | tensorflow/python/training/monitored_session_test.py | {
"start": 19583,
"end": 24023
} | class ____(test.TestCase):
"""Test distribute coordinator controls summary saving and checkpointing."""
def test_summary_hook_enabled(self):
context = distribute_coordinator._WorkerContext(
MockStrategy(should_save_summary=True), None, None, None)
logdir = _test_dir(self.get_temp_dir(), 'test_summ... | MonitoredTrainingSessionWithDistributeCoordinatorTest |
python | sqlalchemy__sqlalchemy | test/ext/test_associationproxy.py | {
"start": 94426,
"end": 94628
} | class ____(
ScalarRemoveTest, fixtures.DeclarativeMappedTest
):
run_create_tables = None
useobject = False
cascade_scalar_deletes = False
uselist = True
| ScalarRemoveListScalarNoCascade |
python | dask__distributed | distributed/dashboard/components/scheduler.py | {
"start": 22364,
"end": 25989
} | class ____(DashboardComponent):
"""Size of open data transfers from/to other workers per worker"""
@log_errors
def __init__(self, scheduler, width=600, **kwargs):
self.scheduler = scheduler
self.source = ColumnDataSource(
{
"escaped_worker": [],
"... | WorkersTransferBytes |
python | huggingface__transformers | src/transformers/models/pop2piano/modeling_pop2piano.py | {
"start": 6642,
"end": 17100
} | class ____(nn.Module):
def __init__(
self,
config: Pop2PianoConfig,
has_relative_attention_bias=False,
layer_idx: Optional[int] = None,
):
super().__init__()
self.is_decoder = config.is_decoder
self.has_relative_attention_bias = has_relative_attention_bias... | Pop2PianoAttention |
python | pytest-dev__pytest | testing/test_mark.py | {
"start": 14690,
"end": 24020
} | class ____:
def test_merging_markers_deep(self, pytester: Pytester) -> None:
# issue 199 - propagate markers into nested classes
p = pytester.makepyfile(
"""
import pytest
class TestA(object):
pytestmark = pytest.mark.a
def test_b(s... | TestFunctional |
python | catalyst-team__catalyst | catalyst/callbacks/optuna.py | {
"start": 303,
"end": 3003
} | class ____(Callback):
"""Optuna callback for pruning unpromising runs.
This callback can be used for early stopping (pruning) unpromising runs.
Args:
trial: Optuna.Trial for the experiment.
loader_key: loader key for best model selection
(based on metric score over the dataset)... | OptunaPruningCallback |
python | apache__airflow | helm-tests/tests/helm_tests/other/test_resource_quota.py | {
"start": 900,
"end": 1763
} | class ____:
"""Tests resource quota."""
def test_resource_quota_template(self):
docs = render_chart(
values={
"quotas": {
"configmaps": "10",
"persistentvolumeclaims": "4",
"pods": "4",
"replicat... | TestResourceQuota |
python | dagster-io__dagster | python_modules/dagster-graphql/dagster_graphql/schema/errors.py | {
"start": 16449,
"end": 16730
} | class ____(graphene.ObjectType):
class Meta:
interfaces = (GrapheneError,)
name = "UnauthorizedError"
def __init__(self, message=None):
super().__init__()
self.message = message if message else "Authorization failed"
| GrapheneUnauthorizedError |
python | pytorch__pytorch | torch/_inductor/compile_fx_ext.py | {
"start": 4268,
"end": 4920
} | class ____(contextlib.ExitStack):
"""
Helper for _LoweringSerializer.patch()
"""
def __init__(self, lowering: _LoweringSerializer) -> None:
super().__init__()
self.lowering = lowering
@override
def __enter__(self) -> Self:
super().__enter__()
from . import lowe... | _LoweringSerializerContextManager |
python | django-import-export__django-import-export | tests/core/models.py | {
"start": 4350,
"end": 4437
} | class ____(models.Model):
f = models.FloatField(blank=True, null=True)
| WithFloatField |
python | dateutil__dateutil | src/dateutil/relativedelta.py | {
"start": 336,
"end": 24903
} | class ____(object):
"""
The relativedelta type is designed to be applied to an existing datetime and
can replace specific components of that datetime, or represents an interval
of time.
It is based on the specification of the excellent work done by M.-A. Lemburg
in his
`mx.DateTime <https:/... | relativedelta |
python | sqlalchemy__sqlalchemy | lib/sqlalchemy/exc.py | {
"start": 26254,
"end": 26572
} | class ____(PendingDeprecationWarning):
"""A similar warning as :class:`_exc.SADeprecationWarning`, this warning
is not used in modern versions of SQLAlchemy.
"""
deprecated_since: Optional[str] = None
"Indicates the version that started raising this deprecation warning"
| SAPendingDeprecationWarning |
python | sqlalchemy__sqlalchemy | lib/sqlalchemy/pool/base.py | {
"start": 2770,
"end": 3082
} | class ____(Enum):
"""Describe options for "reset on return" behaviors."""
reset_rollback = 0
reset_commit = 1
reset_none = 2
_ResetStyleArgType = Union[
ResetStyle,
Literal[True, None, False, "commit", "rollback"],
]
reset_rollback, reset_commit, reset_none = list(ResetStyle)
| ResetStyle |
python | tornadoweb__tornado | tornado/test/iostream_test.py | {
"start": 7278,
"end": 27107
} | class ____(AsyncTestCase):
# Tests where one stream reads and the other writes.
# These should work for BaseIOStream implementations.
def make_iostream_pair(self, **kwargs):
raise NotImplementedError
def iostream_pair(self, **kwargs):
"""Like make_iostream_pair, but called by ``async w... | TestReadWriteMixin |
python | mlflow__mlflow | mlflow/entities/model_registry/model_version_deployment_job_run_state.py | {
"start": 143,
"end": 2043
} | class ____:
"""Enum for model version deployment state of an
:py:class:`mlflow.entities.model_registry.ModelVersion`.
"""
NO_VALID_DEPLOYMENT_JOB_FOUND = ProtoModelVersionDeploymentJobState.DeploymentJobRunState.Value(
"NO_VALID_DEPLOYMENT_JOB_FOUND"
)
RUNNING = ProtoModelVersionDeploym... | ModelVersionDeploymentJobRunState |
python | dagster-io__dagster | python_modules/dagster-graphql/dagster_graphql/schema/asset_graph.py | {
"start": 7947,
"end": 8197
} | class ____(graphene.ObjectType):
assetKey = graphene.NonNull(GrapheneAssetKey)
repositories = non_null_list(lambda: external.GrapheneRepository)
class Meta:
name = "AssetNodeDefinitionCollision"
| GrapheneAssetNodeDefinitionCollision |
python | langchain-ai__langchain | libs/langchain/langchain_classic/chains/conversation/base.py | {
"start": 631,
"end": 5293
} | class ____(LLMChain):
"""Chain to have a conversation and load context from memory.
This class is deprecated in favor of `RunnableWithMessageHistory`. Please refer
to this tutorial for more detail: https://python.langchain.com/docs/tutorials/chatbot/
`RunnableWithMessageHistory` offers several benefit... | ConversationChain |
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