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 | joke2k__faker | faker/providers/automotive/es_CL/__init__.py | {
"start": 96,
"end": 1965
} | class ____(AutomotiveProvider):
"""Implement automotive provider for ``es`` locale.
Sources:
- https://en.wikipedia.org/wiki/Vehicle_registration_plates_of_Chile
"""
license_plate_old_format_first_letters = "ABCDFGHJKLPRSTVWXYZ"
license_plate_old_format_second_letters = "ABCDFGHIJKLPRSTVWXYZ... | Provider |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-github/source_github/github_schema.py | {
"start": 1146139,
"end": 1150504
} | class ____(sgqlc.types.Type, Node):
"""A draft issue within a project."""
__schema__ = github_schema
__field_names__ = (
"assignees",
"body",
"body_html",
"body_text",
"created_at",
"creator",
"project_v2_items",
"projects_v2",
"title"... | DraftIssue |
python | mlflow__mlflow | mlflow/entities/model_registry/model_version_tag.py | {
"start": 174,
"end": 933
} | class ____(_ModelRegistryEntity):
"""Tag object associated with a model version."""
def __init__(self, key, value):
self._key = key
self._value = value
def __eq__(self, other):
if type(other) is type(self):
return self.__dict__ == other.__dict__
return False
... | ModelVersionTag |
python | ansible__ansible | lib/ansible/_internal/ansible_collections/ansible/_protomatter/plugins/filter/finalize.py | {
"start": 351,
"end": 472
} | class ____:
@staticmethod
def filters() -> dict[str, t.Callable]:
return dict(finalize=finalize)
| FilterModule |
python | crytic__slither | slither/utils/martin.py | {
"start": 1386,
"end": 1548
} | class ____:
"""Class to hold the information for a section of the report."""
title: str
pretty_table: MyPrettyTable
txt: str
@dataclass
| SectionInfo |
python | numpy__numpy | numpy/polynomial/tests/test_chebyshev.py | {
"start": 1186,
"end": 1496
} | class ____:
def test_chebdomain(self):
assert_equal(cheb.chebdomain, [-1, 1])
def test_chebzero(self):
assert_equal(cheb.chebzero, [0])
def test_chebone(self):
assert_equal(cheb.chebone, [1])
def test_chebx(self):
assert_equal(cheb.chebx, [0, 1])
| TestConstants |
python | doocs__leetcode | solution/1900-1999/1900.The Earliest and Latest Rounds Where Players Compete/Solution.py | {
"start": 741,
"end": 919
} | class ____:
def earliestAndLatest(
self, n: int, firstPlayer: int, secondPlayer: int
) -> List[int]:
return dfs(firstPlayer - 1, secondPlayer - 1, n)
| Solution |
python | miyuchina__mistletoe | test/test_html_renderer.py | {
"start": 6228,
"end": 6901
} | class ____(TestCase):
def setUp(self):
self.renderer = HtmlRenderer()
self.renderer.__enter__()
self.addCleanup(self.renderer.__exit__, None, None, None)
def test_footnote_image(self):
token = Document(['![alt][foo]\n', '\n', '[foo]: bar "title"\n'])
expected = '<p><img ... | TestHtmlRendererFootnotes |
python | huggingface__transformers | src/transformers/models/mistral3/modeling_mistral3.py | {
"start": 5481,
"end": 7069
} | class ____(ModelOutput):
r"""
loss (`torch.FloatTensor` of shape `(1,)`, *optional*, returned when `labels` is provided):
Language modeling loss (for next-token prediction).
logits (`torch.FloatTensor` of shape `(batch_size, sequence_length, config.vocab_size)`):
Prediction scores of the lan... | Mistral3CausalLMOutputWithPast |
python | Textualize__textual | tests/snapshot_tests/snapshot_apps/ansi_mapping.py | {
"start": 79,
"end": 704
} | class ____(App[None]):
def compose(self) -> ComposeResult:
ansi_colors = [
"ansi_red",
"ansi_green",
"ansi_yellow",
"ansi_blue",
"ansi_magenta",
"ansi_cyan",
"ansi_white",
"ansi_black",
]
yield La... | AnsiMappingApp |
python | getsentry__sentry | tests/sentry/integrations/api/endpoints/test_organization_integration_serverless_functions.py | {
"start": 8788,
"end": 28491
} | class ____(AbstractServerlessTest):
method = "post"
@responses.activate
@patch.object(AwsLambdaIntegration, "get_serialized_lambda_function")
@patch("sentry.integrations.aws_lambda.integration.gen_aws_client")
def test_enable_node_layer(
self, mock_gen_aws_client: MagicMock, mock_get_serial... | OrganizationIntegrationServerlessFunctionsPostTest |
python | tornadoweb__tornado | tornado/test/auth_test.py | {
"start": 20315,
"end": 21545
} | class ____(RequestHandler, GoogleOAuth2Mixin):
def initialize(self, test):
self.test = test
self._OAUTH_REDIRECT_URI = test.get_url("/client/login")
self._OAUTH_AUTHORIZE_URL = test.get_url("/google/oauth2/authorize")
self._OAUTH_ACCESS_TOKEN_URL = test.get_url("/google/oauth2/token"... | GoogleLoginHandler |
python | networkx__networkx | networkx/algorithms/tests/test_cuts.py | {
"start": 3676,
"end": 4077
} | class ____:
"""Unit tests for the :func:`~networkx.edge_expansion` function."""
def test_graph(self):
G = nx.barbell_graph(5, 0)
S = set(range(5))
T = set(G) - S
expansion = nx.edge_expansion(G, S, T)
expected = 1 / 5
assert expected == expansion
# Test w... | TestEdgeExpansion |
python | mamba-org__mamba | micromamba/tests/test_pkg_cache.py | {
"start": 2909,
"end": 9810
} | class ____:
def test_extracted_file_deleted(
self, tmp_home, tmp_cache_file_in_test_package, tmp_root_prefix
):
old_ino = tmp_cache_file_in_test_package.stat().st_ino
os.remove(tmp_cache_file_in_test_package)
env_name = "some_env"
helpers.create(package_to_check_requirem... | TestPkgCache |
python | django__django | tests/queries/models.py | {
"start": 17391,
"end": 17538
} | class ____(models.Model):
field_c0 = models.FloatField()
# db_table names have capital letters to ensure they are quoted in queries.
| Ticket23605C |
python | ray-project__ray | python/ray/experimental/tqdm_ray.py | {
"start": 4646,
"end": 6458
} | class ____:
"""Manages a single virtual progress bar on the driver.
The actual position of individual bars is calculated as (pos_offset + position),
where `pos_offset` is the position offset determined by the BarManager.
"""
def __init__(self, state: ProgressBarState, pos_offset: int):
"""... | _Bar |
python | numba__numba | numba/tests/test_npdatetime.py | {
"start": 42736,
"end": 43680
} | class ____(TestCase):
def test_isinstance_datetime(self):
@njit
def is_complex(a):
return isinstance(a, complex)
@njit
def is_datetime(a):
return isinstance(a, np.datetime64)
@njit
def is_timedelta(a):
return isinstance(a, np.timede... | TestDatetimeTypeOps |
python | hynek__structlog | tests/test_testing.py | {
"start": 5587,
"end": 6584
} | class ____:
def test_factory_caches(self):
"""
CapturingLoggerFactory returns one CapturingLogger over and over again.
"""
clf = CapturingLoggerFactory()
cl1 = clf()
cl2 = clf()
assert cl1 is cl2
def test_repr(self):
"""
repr says how man... | TestCapturingLogger |
python | astropy__astropy | astropy/convolution/utils.py | {
"start": 250,
"end": 338
} | class ____(Exception):
"""
Base error class for kernel errors.
"""
| KernelError |
python | tensorflow__tensorflow | tensorflow/python/kernel_tests/array_ops/init_ops_test.py | {
"start": 32225,
"end": 35010
} | class ____(test.TestCase):
@test_util.run_deprecated_v1
def testInitializerIdentical(self):
for dtype in [dtypes.float32, dtypes.float64]:
init1 = init_ops.convolutional_delta_orthogonal(seed=1, dtype=dtype)
init2 = init_ops.convolutional_delta_orthogonal(seed=1, dtype=dtype)
self.assertTrue(... | ConvolutionDeltaOrthogonalInitializerTest |
python | pytorch__pytorch | torch/_inductor/codegen/cuda/cuda_kernel.py | {
"start": 6507,
"end": 20195
} | class ____(CUDAKernel):
"""
Template kernels defined by CUDA / Cutlass in C++.
"""
_EXTRA_CPP_ARGS = "size_t* workspace_size, uint8_t* workspace, cudaStream_t stream"
def __init__(
self,
kernel_name: str,
runtime_arg_info: list["ArgInfo"],
runtime_arg_values: list[A... | CUDATemplateKernel |
python | pypa__virtualenv | src/virtualenv/activation/cshell/__init__.py | {
"start": 106,
"end": 336
} | class ____(ViaTemplateActivator):
@classmethod
def supports(cls, interpreter):
return interpreter.os != "nt"
def templates(self):
yield "activate.csh"
__all__ = [
"CShellActivator",
]
| CShellActivator |
python | matplotlib__matplotlib | lib/matplotlib/testing/compare.py | {
"start": 8399,
"end": 20122
} | class ____(_SVGConverter):
"""
A SVG converter which explicitly adds the fonts shipped by Matplotlib to
Inkspace's font search path, to better support `svg.fonttype = "none"`
(which is in particular used by certain mathtext tests).
"""
def __call__(self, orig, dest):
if not hasattr(self... | _SVGWithMatplotlibFontsConverter |
python | anthropics__anthropic-sdk-python | src/anthropic/lib/tools/_beta_functions.py | {
"start": 1427,
"end": 1812
} | class ____(ABC):
@abstractmethod
def to_dict(self) -> BetaToolUnionParam: ...
@abstractmethod
async def call(self, input: object) -> BetaFunctionToolResultType: ...
@property
def name(self) -> str:
raw = self.to_dict()
if "mcp_server_name" in raw:
return raw["mcp_se... | BetaAsyncBuiltinFunctionTool |
python | pypa__pip | tests/unit/test_link.py | {
"start": 160,
"end": 8541
} | class ____:
@pytest.mark.parametrize(
"url, expected",
[
(
"https://user:password@example.com/path/page.html",
"<Link https://user:****@example.com/path/page.html>",
),
],
)
def test_repr(self, url: str, expected: str) -> None:
... | TestLink |
python | fsspec__filesystem_spec | fsspec/implementations/sftp.py | {
"start": 239,
"end": 5923
} | class ____(AbstractFileSystem):
"""Files over SFTP/SSH
Peer-to-peer filesystem over SSH using paramiko.
Note: if using this with the ``open`` or ``open_files``, with full URLs,
there is no way to tell if a path is relative, so all paths are assumed
to be absolute.
"""
protocol = "sftp", "... | SFTPFileSystem |
python | getsentry__sentry | src/sentry/search/base.py | {
"start": 547,
"end": 1465
} | class ____(Service):
__read_methods__ = ("query",)
__write_methods__ = ()
__all__ = tuple(set(__read_methods__ + __write_methods__))
def __init__(self, **options: Mapping[str, Any] | None):
pass
def query(
self,
projects: Sequence[Project],
environments: Sequence[En... | SearchBackend |
python | django__django | tests/check_framework/tests.py | {
"start": 3376,
"end": 6013
} | class ____(SimpleTestCase):
def test_printing(self):
e = Error("Message", hint="Hint", obj=DummyObj())
expected = "obj: Message\n\tHINT: Hint"
self.assertEqual(str(e), expected)
def test_printing_no_hint(self):
e = Error("Message", obj=DummyObj())
expected = "obj: Messag... | MessageTests |
python | huggingface__transformers | src/transformers/models/hunyuan_v1_moe/modeling_hunyuan_v1_moe.py | {
"start": 10449,
"end": 11191
} | class ____(nn.Module):
def __init__(self, config: HunYuanMoEV1Config, layer_idx: Optional[int] = None):
super().__init__()
self.config = config
self.layer_idx = layer_idx
num_experts = config.num_experts if isinstance(config.num_experts, int) else config.num_experts[layer_idx]
... | HunYuanMoEV1Gate |
python | tensorflow__tensorflow | tensorflow/python/kernel_tests/nn_ops/rnn_cell_test.py | {
"start": 67833,
"end": 72043
} | class ____(test.TestCase):
def setUp(self):
self._seed = 23489
np.random.seed(self._seed)
@test_util.run_v1_only("b/124229375")
def testMultiDimensionalLSTMAllRNNContainers(self):
feature_dims = (3, 4, 5)
input_size = feature_dims
batch_size = 2
max_length = 8
sequence_length = [4, 6... | MultiDimensionalLSTMTest |
python | ansible__ansible | test/lib/ansible_test/_util/controller/sanity/validate-modules/validate_modules/main.py | {
"start": 7936,
"end": 8610
} | class ____(metaclass=abc.ABCMeta):
"""Validator instances are intended to be run on a single object. if you
are scanning multiple objects for problems, you'll want to have a separate
Validator for each one."""
def __init__(self, reporter=None):
self.reporter = reporter
@property
@abc.... | Validator |
python | vyperlang__vyper | vyper/compiler/output_bundle.py | {
"start": 4812,
"end": 6787
} | class ____:
def __init__(self, compiler_data: CompilerData):
self.compiler_data = compiler_data
@cached_property
def bundle(self):
return OutputBundle(self.compiler_data)
def write_sources(self, sources: dict[str, CompilerInput]):
raise NotImplementedError(f"write_sources: {sel... | OutputBundleWriter |
python | astropy__astropy | astropy/units/core.py | {
"start": 42617,
"end": 50386
} | class ____:
"""
Manages a registry of the enabled units.
"""
def __init__(self, init=[], equivalencies=[], aliases={}):
if isinstance(init, _UnitRegistry):
# If passed another registry we don't need to rebuild everything.
# but because these are mutable types we don't wa... | _UnitRegistry |
python | facebook__pyre-check | source/interprocedural_analyses/taint/test/integration/class_interval.py | {
"start": 312,
"end": 492
} | class ____:
def m1(self, x):
self.m2(x)
def m2(self, x):
# TODO(T114456058): Unexpected position -1 in the sinks of
# override models
pass
| A0 |
python | tensorflow__tensorflow | tensorflow/python/autograph/pyct/cfg.py | {
"start": 3420,
"end": 5315
} | class ____(
collections.namedtuple(
'Graph',
['entry', 'exit', 'error', 'index', 'stmt_prev', 'stmt_next'])):
"""A Control Flow Graph.
The CFG maintains an index to allow looking up a CFG node by the AST node to
which it is associated. The index can also be enumerated in top-down, depth
fir... | Graph |
python | openai__openai-python | src/openai/_base_client.py | {
"start": 64830,
"end": 66840
} | class ____:
def __init__(self, name: str) -> None:
self.name = name
@override
def __str__(self) -> str:
return f"Other:{self.name}"
Platform = Union[
OtherPlatform,
Literal[
"MacOS",
"Linux",
"Windows",
"FreeBSD",
"OpenBSD",
"iOS",
... | OtherPlatform |
python | numba__numba | numba/tests/test_dictimpl.py | {
"start": 5639,
"end": 6042
} | class ____(types.Type):
"""this is essentially UniTuple(unicode_type, n)
BUT type name is the same for all n"""
def __init__(self, value):
super(ParametrizedType, self).__init__('ParametrizedType')
self.dtype = types.unicode_type
self.n = len(value)
@property
def key(self):... | ParametrizedType |
python | ZoranPandovski__al-go-rithms | dp/Shortest common Supersequence/shortest_common_supersequence.py | {
"start": 32,
"end": 1384
} | class ____:
def shortestCommonSupersequence(self, str1: str, str2: str) -> str:
m = len(str1)
n = len(str2)
t = [[-1]*(n+1) for i in range(m+1)]
for i in range(m+1):
for j in range(n+1):
if(i==0 or j==0):
t[i]... | Solution |
python | matplotlib__matplotlib | lib/matplotlib/tests/test_units.py | {
"start": 10483,
"end": 11657
} | class ____:
def __init__(self, array):
self._array = np.asanyarray(array)
def __array__(self, dtype=None, copy=None):
if dtype is not None and dtype != self._array.dtype:
if copy is not None and not copy:
raise ValueError(
f"Converting array from ... | Kernel |
python | ipython__ipython | tests/test_zzz_autoreload.py | {
"start": 25862,
"end": 39729
} | class ____: # old-style class
def foo(self):
return 2
""",
)
def check_module_contents():
self.assertEqual(mod.x, 10)
self.assertFalse(hasattr(mod, "z"))
self.assertEqual(old_foo(0), 4) # superreload magic!
self.assertEqual(mod.foo(0), 4)... | Bar |
python | joke2k__faker | faker/providers/lorem/hy_AM/__init__.py | {
"start": 68,
"end": 3810
} | class ____(LoremProvider):
"""Implement lorem provider for ``hy_AM`` locale.
Sources:
- https://www.101languages.net/armenian/armenian-word-list
"""
word_list = (
"ես",
"դու",
"նա",
"մենք",
"դուք",
"նրանք",
"այս",
"այն",
"այս... | Provider |
python | pypa__warehouse | tests/unit/test_views.py | {
"start": 28411,
"end": 28713
} | class ____:
def test_valid(self):
with pytest.raises(HTTPBadRequest):
force_status(pretend.stub(matchdict={"status": "400"}))
def test_invalid(self):
with pytest.raises(HTTPNotFound):
force_status(pretend.stub(matchdict={"status": "599"}))
| TestForceStatus |
python | jmcnamara__XlsxWriter | xlsxwriter/test/comparison/test_format25.py | {
"start": 315,
"end": 978
} | class ____(ExcelComparisonTest):
"""
Test file created by XlsxWriter against a file created by Excel.
"""
def setUp(self):
self.set_filename("format25.xlsx")
def test_create_file(self):
"""Test the creation of a simple XlsxWriter file with automatic color."""
workbook = ... | TestCompareXLSXFiles |
python | django__django | tests/bulk_create/models.py | {
"start": 1727,
"end": 1819
} | class ____(models.Model):
id = models.SmallAutoField(primary_key=True)
| SmallAutoFieldModel |
python | kamyu104__LeetCode-Solutions | Python/check-if-n-and-its-double-exist.py | {
"start": 29,
"end": 360
} | class ____(object):
def checkIfExist(self, arr):
"""
:type arr: List[int]
:rtype: bool
"""
lookup = set()
for x in arr:
if 2*x in lookup or \
(x%2 == 0 and x//2 in lookup):
return True
lookup.add(x)
return... | Solution |
python | eventlet__eventlet | tests/dagpool_test.py | {
"start": 4028,
"end": 19429
} | class ____:
"""
This class is intended to capture a sequence (of string messages) to
verify that all expected events occurred, and in the expected order. The
tricky part is that certain subsequences can occur in arbitrary order and
still be correct.
Specifically, when posting a particular value... | Capture |
python | falconry__falcon | tests/test_request_media.py | {
"start": 6341,
"end": 7847
} | class ____(media.BaseHandler):
def serialize(self, *args, **kwargs):
pass
def deserialize(self, *args, **kwargs):
pass
exhaust_stream = True
def test_complete_consumption(asgi):
client = create_client(asgi, {'nope/nope': NopeHandler()})
body = b'{"something": "abracadabra"}'
... | NopeHandler |
python | numpy__numpy | numpy/f2py/tests/test_array_from_pyobj.py | {
"start": 6994,
"end": 11086
} | class ____:
def __repr__(self):
return (f'Array({self.type}, {self.dims}, {self.intent},'
f' {self.obj})|arr={self.arr}')
def __init__(self, typ, dims, intent, obj):
self.type = typ
self.dims = dims
self.intent = intent
self.obj_copy = copy.deepcopy(obj)... | Array |
python | apache__airflow | airflow-core/tests/unit/api_fastapi/core_api/routes/public/test_dags.py | {
"start": 43197,
"end": 45897
} | class ____(TestDagEndpoint):
"""Unit tests for Get DAG."""
@pytest.mark.parametrize(
("query_params", "dag_id", "expected_status_code", "dag_display_name", "expected_tags"),
[
({}, "fake_dag_id", 404, "fake_dag", []),
({}, DAG2_ID, 200, DAG2_ID, []),
],
)
... | TestGetDag |
python | sympy__sympy | sympy/printing/repr.py | {
"start": 468,
"end": 11376
} | class ____(Printer):
printmethod = "_sympyrepr"
_default_settings: dict[str, Any] = {
"order": None,
"perm_cyclic" : True,
}
def reprify(self, args, sep):
"""
Prints each item in `args` and joins them with `sep`.
"""
return sep.join([self.doprint(item) f... | ReprPrinter |
python | tensorflow__tensorflow | tensorflow/python/data/kernel_tests/as_numpy_iterator_test.py | {
"start": 1368,
"end": 5598
} | class ____(test_base.DatasetTestBase, parameterized.TestCase):
@combinations.generate(test_base.eager_only_combinations())
def testBasic(self):
ds = dataset_ops.Dataset.range(3)
self.assertEqual([0, 1, 2], list(ds.as_numpy_iterator()))
@combinations.generate(test_base.eager_only_combinations())
def te... | AsNumpyIteratorTest |
python | realpython__materials | inheritance-and-composition/inheritance/employees.py | {
"start": 1056,
"end": 1276
} | class ____(Employee, SecretaryRole, HourlyPolicy):
def __init__(self, id, name, hours_worked, hour_rate):
HourlyPolicy.__init__(self, hours_worked, hour_rate)
super().__init__(id, name)
| TemporarySecretary |
python | ansible__ansible | test/lib/ansible_test/_util/controller/sanity/validate-modules/validate_modules/module_args.py | {
"start": 1402,
"end": 1458
} | class ____(ImportError):
pass
| AnsibleModuleImportError |
python | getsentry__sentry | src/sentry/integrations/slack/unfurl/types.py | {
"start": 616,
"end": 692
} | class ____(NamedTuple):
url: str
args: Mapping[str, Any]
| UnfurlableUrl |
python | run-llama__llama_index | llama-index-core/llama_index/core/llama_dataset/base.py | {
"start": 1686,
"end": 3241
} | class ____(BaseModel):
_prediction_type: ClassVar[Type[BaseLlamaExamplePrediction]]
predictions: List[BaseLlamaExamplePrediction] = Field(
default_factory=list, description="Predictions on train_examples."
)
def __getitem__(
self, val: Union[slice, int]
) -> Union[Sequence[BaseLlama... | BaseLlamaPredictionDataset |
python | pypa__warehouse | tests/unit/legacy/api/test_json.py | {
"start": 17669,
"end": 29067
} | class ____:
def test_normalizing_redirects(self, db_request):
release = ReleaseFactory.create(version="3.0")
db_request.matchdict = {
"name": release.project.name.swapcase(),
"version": "3.0",
}
db_request.current_route_path = pretend.call_recorder(
... | TestJSONRelease |
python | facebook__pyre-check | source/interprocedural_analyses/taint/test/integration/model_query_type_annotation.py | {
"start": 1103,
"end": 1218
} | class ____:
taint_1: int = 0
taint_2: int = 0
no_taint_1: List[int] = []
no_taint_2: str = ""
| Test7_C |
python | dateutil__dateutil | src/dateutil/tz/tz.py | {
"start": 3289,
"end": 5055
} | class ____(datetime.tzinfo):
"""
A simple class for representing a fixed offset from UTC.
:param name:
The timezone name, to be returned when ``tzname()`` is called.
:param offset:
The time zone offset in seconds, or (since version 2.6.0, represented
as a :py:class:`datetime.tim... | tzoffset |
python | getsentry__sentry | tests/sentry/notifications/notification_action/test_metric_alert_registry_handlers.py | {
"start": 1794,
"end": 2236
} | class ____(BaseMetricAlertHandler):
@classmethod
def send_alert(
cls,
notification_context: NotificationContext,
alert_context: AlertContext,
metric_issue_context: MetricIssueContext,
open_period_context: OpenPeriodContext,
trigger_status: TriggerStatus,
n... | TestHandler |
python | astropy__astropy | astropy/timeseries/core.py | {
"start": 1254,
"end": 3526
} | class ____(QTable):
_required_columns = None
_required_columns_enabled = True
# If _required_column_relax is True, we don't require the columns to be
# present but we do require them to be the correct ones IF present. Note
# that this is a temporary state - as soon as the required columns
# are... | BaseTimeSeries |
python | neetcode-gh__leetcode | python/0231-power-of-two.py | {
"start": 176,
"end": 300
} | class ____:
def isPowerOfTwo(self, n: int) -> bool:
return n > 0 and (n & (n - 1)) == 0
# Bit manipulation
| Solution |
python | openai__openai-python | src/openai/types/beta/chatkit/thread_delete_response.py | {
"start": 198,
"end": 483
} | class ____(BaseModel):
id: str
"""Identifier of the deleted thread."""
deleted: bool
"""Indicates that the thread has been deleted."""
object: Literal["chatkit.thread.deleted"]
"""Type discriminator that is always `chatkit.thread.deleted`."""
| ThreadDeleteResponse |
python | django__django | tests/postgres_tests/test_search.py | {
"start": 18087,
"end": 23098
} | class ____(GrailTestData, PostgreSQLTestCase):
def test_ranking(self):
searched = (
Line.objects.filter(character=self.minstrel)
.annotate(
rank=SearchRank(
SearchVector("dialogue"), SearchQuery("brave sir robin")
),
)
... | TestRankingAndWeights |
python | lazyprogrammer__machine_learning_examples | svm_class/svm_gradient.py | {
"start": 1346,
"end": 4775
} | class ____:
def __init__(self, kernel, C=1.0):
self.kernel = kernel
self.C = C
def _train_objective(self):
return np.sum(self.alphas) - 0.5 * np.sum(self.YYK * np.outer(self.alphas, self.alphas))
def fit(self, X, Y, lr=1e-5, n_iters=400):
# we need these to make future predictions
self.Xtrai... | SVM |
python | apache__airflow | providers/apprise/tests/unit/apprise/notifications/test_apprise.py | {
"start": 1065,
"end": 4906
} | class ____:
@pytest.fixture(autouse=True)
def setup_connections(self, create_connection_without_db):
extra = {"config": {"path": "http://some_path_that_dont_exist/", "tag": "alert"}}
create_connection_without_db(
Connection(
conn_id="apprise_default",
... | TestAppriseNotifier |
python | tensorflow__tensorflow | tensorflow/python/distribute/multi_worker_test_base.py | {
"start": 20149,
"end": 20290
} | class ____(object):
def __enter__(self):
return
def __exit__(self, exception_type, exception_value, traceback):
pass
| DummySession |
python | agronholm__apscheduler | src/apscheduler/executors/async_.py | {
"start": 191,
"end": 670
} | class ____(JobExecutor):
"""
Executes functions directly on the event loop thread.
If the function returns a coroutine object (or another kind of awaitable), that is
awaited on and its return value is used as the job's return value.
"""
async def run_job(self, func: Callable[..., Any], job: Jo... | AsyncJobExecutor |
python | google__pytype | pytype/typegraph/typegraph_serializer.py | {
"start": 1209,
"end": 1305
} | class ____:
id: VariableId
bindings: list[BindingId]
@dataclasses.dataclass
| SerializedVariable |
python | ray-project__ray | release/ray_release/result.py | {
"start": 512,
"end": 2721
} | class ____:
results: Optional[Dict] = None
status: str = ResultStatus.UNKNOWN.value
return_code: int = 0
last_logs: Optional[str] = None
runtime: Optional[float] = None
stable: bool = True
smoke_test: bool = False
buildkite_url: Optional[str] = None
cluster_url: Optional[str] = No... | Result |
python | etianen__django-reversion | tests/test_app/tests/test_api.py | {
"start": 574,
"end": 719
} | class ____(TestModelMixin, TestBase):
def testIsRegistered(self):
self.assertTrue(reversion.is_registered(TestModel))
| IsRegisteredTest |
python | apache__airflow | providers/databricks/src/airflow/providers/databricks/plugins/databricks_workflow.py | {
"start": 17334,
"end": 18980
} | class ____(BaseOperatorLink, LoggingMixin):
"""Construct a link to send a repair request for a single databricks task."""
name = "Repair a single task"
def get_link(
self,
operator,
dttm=None,
*,
ti_key: TaskInstanceKey | None = None,
) -> str:
if not ti... | WorkflowJobRepairSingleTaskLink |
python | run-llama__llama_index | llama-index-integrations/readers/llama-index-readers-github/llama_index/readers/github/collaborators/github_client.py | {
"start": 254,
"end": 685
} | class ____(Protocol):
def get_all_endpoints(self) -> Dict[str, str]: ...
async def request(
self,
endpoint: str,
method: str,
headers: Dict[str, Any] = {},
params: Dict[str, Any] = {},
**kwargs: Any,
) -> Any: ...
async def get_collaborators(
sel... | BaseGitHubCollaboratorsClient |
python | tensorflow__tensorflow | tensorflow/python/autograph/pyct/common_transformers/anf.py | {
"start": 2803,
"end": 23477
} | class ____(transformer.Base):
"""Performs the conversion to A-normal form (ANF)."""
# The algorithm is a postorder recursive tree walk. Any given node A may, in
# general, require creation of a series B of Assign statements, which compute
# and explicitly name the intermediate values needed to compute the val... | AnfTransformer |
python | bokeh__bokeh | tests/unit/bokeh/util/test_hex.py | {
"start": 2751,
"end": 4136
} | class ____:
def test_gaussian_pointytop(self) -> None:
bins = buh.hexbin(x, y, 2)
np.testing.assert_array_equal(bins.q, [0, 0, 1, 1, 1, 2, 2])
np.testing.assert_array_equal(bins.r, [0, -1, 0, -2, -1, -2, -1])
np.testing.assert_array_equal(bins.counts, [54, 9, 98, 1, 313, 3, 22])
... | Test_hexbin |
python | pyinstaller__pyinstaller | bootloader/waflib/Node.py | {
"start": 1853,
"end": 15259
} | class ____(object):
dict_class = dict
__slots__ = ('name', 'parent', 'children', 'cache_abspath', 'cache_isdir')
def __init__(self, name, parent):
self.name = name
self.parent = parent
if parent:
if name in parent.children:
raise Errors.WafError('node %s ... | Node |
python | huggingface__transformers | src/transformers/models/switch_transformers/modeling_switch_transformers.py | {
"start": 5657,
"end": 6811
} | class ____(nn.Module):
def __init__(self, hidden_size, eps=1e-6):
"""
Construct a layernorm module in the SWITCH_TRANSFORMERS style. No bias and no subtraction of mean.
"""
super().__init__()
self.weight = nn.Parameter(torch.ones(hidden_size))
self.variance_epsilon = ... | SwitchTransformersLayerNorm |
python | langchain-ai__langchain | libs/langchain/langchain_classic/evaluation/criteria/eval_chain.py | {
"start": 18478,
"end": 21524
} | class ____(CriteriaEvalChain):
"""Criteria evaluation chain that requires references."""
@classmethod
@override
def is_lc_serializable(cls) -> bool:
return False
@property
def requires_reference(self) -> bool:
"""Whether the evaluation requires a reference text."""
retu... | LabeledCriteriaEvalChain |
python | apache__airflow | providers/openlineage/tests/unit/openlineage/plugins/test_listener.py | {
"start": 45894,
"end": 92056
} | class ____:
@pytest.mark.skip("Rendering fields is not migrated yet in Airflow 3")
@patch("airflow.models.BaseOperator.render_template")
def test_listener_does_not_change_task_instance(self, render_mock, mock_supervisor_comms, spy_agency):
from airflow.sdk.execution_time.task_runner import (
... | TestOpenLineageListenerAirflow3 |
python | google__jax | jax/_src/source_info_util.py | {
"start": 2462,
"end": 2685
} | class ____(NamedTuple):
name: str
def wrap(self, stack: list[str]):
if stack:
stack[-1] = f'{self.name}({stack[-1]})'
else:
stack.append(f'{self.name}()')
@dataclasses.dataclass(frozen=True)
| Transform |
python | kamyu104__LeetCode-Solutions | Python/clone-n-ary-tree.py | {
"start": 957,
"end": 1340
} | class ____(object):
def cloneTree(self, root):
"""
:type root: Node
:rtype: Node
"""
def dfs(node):
if not node:
return None
copy = Node(node.val)
for child in node.children:
copy.children.append(dfs(child))
... | Solution2 |
python | keras-team__keras | keras/src/wrappers/utils.py | {
"start": 835,
"end": 2394
} | class ____(TransformerMixin, BaseEstimator):
"""Convert 1D targets to 2D and back.
For use in pipelines with transformers that only accept
2D inputs, like OneHotEncoder and OrdinalEncoder.
Attributes:
ndim_ : int
Dimensions of y that the transformer was trained on.
"""
def... | TargetReshaper |
python | kamyu104__LeetCode-Solutions | Python/painting-the-walls.py | {
"start": 64,
"end": 473
} | class ____(object):
def paintWalls(self, cost, time):
"""
:type cost: List[int]
:type time: List[int]
:rtype: int
"""
dp = [float("inf")]*(len(cost)+1)
dp[0] = 0
for c, t in itertools.izip(cost, time):
for j in reversed(xrange(1, len(cost)+... | Solution |
python | pypa__virtualenv | src/virtualenv/config/cli/parser.py | {
"start": 1246,
"end": 4036
} | class ____(ArgumentParser):
"""Custom option parser which updates its defaults by checking the configuration files and environmental vars."""
def __init__(self, options=None, env=None, *args, **kwargs) -> None:
env = os.environ if env is None else env
self.file_config = IniConfig(env)
s... | VirtualEnvConfigParser |
python | sqlalchemy__sqlalchemy | lib/sqlalchemy/dialects/oracle/cx_oracle.py | {
"start": 25969,
"end": 26078
} | class ____(oracle.INTERVAL):
def get_dbapi_type(self, dbapi):
return dbapi.INTERVAL
| _OracleInterval |
python | pytorch__pytorch | torch/nn/modules/activation.py | {
"start": 16845,
"end": 18321
} | class ____(Module):
r"""Applies the CELU function element-wise.
.. math::
\text{CELU}(x) = \max(0,x) + \min(0, \alpha * (\exp(x/\alpha) - 1))
More details can be found in the paper `Continuously Differentiable Exponential Linear Units`_ .
Args:
alpha: the :math:`\alpha` value for the ... | CELU |
python | readthedocs__readthedocs.org | readthedocs/doc_builder/backends/sphinx.py | {
"start": 8832,
"end": 10123
} | class ____(BaseSphinx):
sphinx_builder = "epub"
relative_output_dir = "epub"
def _post_build(self):
"""Internal post build to cleanup EPUB output directory and leave only one .epub file."""
temp_epub_file = f"/tmp/{self.project.slug}-{self.version.slug}.epub"
target_file = os.path.j... | EpubBuilder |
python | google__pytype | pytype/rewrite/flow/frame_base.py | {
"start": 714,
"end": 808
} | class ____:
"""Block and opcode indices for a frame step."""
block: int
opcode: int
| _Step |
python | ray-project__ray | python/ray/serve/_private/benchmarks/streaming/streaming_handle_throughput.py | {
"start": 240,
"end": 2363
} | class ____(Caller):
async def _consume_single_stream(self):
method = self._get_remote_method().options(
stream=True,
)
async for r in method.remote():
# Blackhole the response
# self.sink(str(r, 'utf-8'))
self.sink(r)
@click.command(help="Be... | CallerDeployment |
python | getsentry__sentry | tests/apidocs/endpoints/releases/test_organization_release_details.py | {
"start": 172,
"end": 1686
} | class ____(APIDocsTestCase):
def setUp(self) -> None:
user = self.create_user(is_staff=False, is_superuser=False)
org = self.organization
org2 = self.create_organization()
org.flags.allow_joinleave = False
org.save()
team1 = self.create_team(organization=org)
... | OrganizationReleaseDetailsDocsTest |
python | PrefectHQ__prefect | src/prefect/context.py | {
"start": 12677,
"end": 13633
} | class ____(ContextModel):
"""
The base context for a flow or task run. Data in this context will always be
available when `get_run_context` is called.
Attributes:
start_time: The time the run context was entered
client: The Prefect client instance being used for API communication
""... | RunContext |
python | huggingface__transformers | tests/models/speech_to_text/test_feature_extraction_speech_to_text.py | {
"start": 1407,
"end": 3374
} | class ____:
def __init__(
self,
parent,
batch_size=7,
min_seq_length=400,
max_seq_length=2000,
feature_size=24,
num_mel_bins=24,
padding_value=0.0,
sampling_rate=16_000,
return_attention_mask=True,
do_normalize=True,
):
... | Speech2TextFeatureExtractionTester |
python | altair-viz__altair | altair/vegalite/v6/schema/channels.py | {
"start": 134084,
"end": 139494
} | class ____(ValueChannelMixin, core.StringValueDefWithCondition):
"""
DescriptionValue schema wrapper.
Parameters
----------
condition : dict, :class:`ConditionalMarkPropFieldOrDatumDef`, :class:`ConditionalValueDefstringnullExprRef`, :class:`ConditionalParameterMarkPropFieldOrDatumDef`, :class:`Con... | DescriptionValue |
python | getsentry__sentry | src/sentry/api/serializers/models/release.py | {
"start": 4602,
"end": 7849
} | class ____(TypedDict):
authors: list[Author]
def _get_authors_metadata(
item_list: list[Release], user: User | RpcUser | AnonymousUser
) -> dict[Release, _AuthorList]:
"""
Returns a dictionary of release_id => authors metadata,
where each commit metadata dict contains an array of
authors.
... | _AuthorList |
python | tensorflow__tensorflow | tensorflow/python/saved_model/saved_model_test.py | {
"start": 58558,
"end": 67643
} | class ____(SavedModelTestBase):
def _validate_asset_collection(self,
export_dir,
graph_collection_def,
expected_asset_file_name,
expected_asset_file_contents,
... | SavedModelV1Test |
python | great-expectations__great_expectations | great_expectations/expectations/core/expect_column_min_to_be_between.py | {
"start": 2769,
"end": 16921
} | class ____(ColumnAggregateExpectation):
__doc__ = f"""{EXPECTATION_SHORT_DESCRIPTION}
ExpectColumnMinToBeBetween is a \
Column Aggregate Expectation.
Column Aggregate Expectations are one of the most common types of Expectation.
They are evaluated for a single column, and produce an aggregate Metr... | ExpectColumnMinToBeBetween |
python | jmcnamara__XlsxWriter | xlsxwriter/test/comparison/test_chart_drop_lines03.py | {
"start": 315,
"end": 1547
} | class ____(ExcelComparisonTest):
"""
Test file created by XlsxWriter against a file created by Excel.
"""
def setUp(self):
self.set_filename("chart_drop_lines03.xlsx")
def test_create_file(self):
"""Test the creation of an XlsxWriter file with drop down lines."""
workbook... | TestCompareXLSXFiles |
python | MongoEngine__mongoengine | mongoengine/fields.py | {
"start": 51496,
"end": 55764
} | class ____(BaseField):
"""A reference to *any* :class:`~mongoengine.document.Document` subclass
that will be automatically dereferenced on access (lazily).
Note this field works the same way as :class:`~mongoengine.document.ReferenceField`,
doing database I/O access the first time it is accessed (even ... | GenericReferenceField |
python | huggingface__transformers | src/transformers/models/gemma3n/processing_gemma3n.py | {
"start": 954,
"end": 1084
} | class ____(ProcessingKwargs, total=False):
_defaults = {
"text_kwargs": {"padding": False},
}
| Gemma3nProcessorKwargs |
python | kamyu104__LeetCode-Solutions | Python/count-complete-tree-nodes.py | {
"start": 798,
"end": 1673
} | class ____(object):
def countNodes(self, root):
"""
:type root: TreeNode
:rtype: int
"""
def check(node, n):
base = 1
while base <= n:
base <<= 1
base >>= 2
while base:
if (n & base) == 0:
... | Solution2 |
python | getsentry__sentry | src/sentry/tagstore/types.py | {
"start": 2626,
"end": 3099
} | class ____(TagType):
__slots__ = ("group_id", "key", "values_seen", "count", "top_values")
_sort_key = "values_seen"
def __init__(
self,
group_id: int,
key: str,
values_seen: int | None = None,
count: int | None = None,
top_values=None,
):
self.gr... | GroupTagKey |
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