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 | django__django | django/contrib/auth/middleware.py | {
"start": 10703,
"end": 11208
} | class ____(RemoteUserMiddleware):
"""
Middleware for web-server provided authentication on logon pages.
Like RemoteUserMiddleware but keeps the user authenticated even if
the ``request.META`` key is not found in the request. Useful for
setups when the external authentication is only expected to hap... | PersistentRemoteUserMiddleware |
python | doocs__leetcode | solution/2400-2499/2466.Count Ways To Build Good Strings/Solution.py | {
"start": 0,
"end": 384
} | class ____:
def countGoodStrings(self, low: int, high: int, zero: int, one: int) -> int:
@cache
def dfs(i):
if i > high:
return 0
ans = 0
if low <= i <= high:
ans += 1
ans += dfs(i + zero) + dfs(i + one)
retu... | Solution |
python | sympy__sympy | sympy/geometry/ellipse.py | {
"start": 1341,
"end": 42460
} | class ____(GeometrySet):
"""An elliptical GeometryEntity.
Parameters
==========
center : Point, optional
Default value is Point(0, 0)
hradius : number or SymPy expression, optional
vradius : number or SymPy expression, optional
eccentricity : number or SymPy expression, optional
... | Ellipse |
python | great-expectations__great_expectations | great_expectations/data_context/types/resource_identifiers.py | {
"start": 1677,
"end": 1915
} | class ____(Schema):
name = fields.Str()
# noinspection PyUnusedLocal
@post_load
def make_expectation_suite_identifier(self, data, **kwargs):
return ExpectationSuiteIdentifier(**data)
| ExpectationSuiteIdentifierSchema |
python | ethereum__web3.py | web3/providers/persistent/persistent.py | {
"start": 1206,
"end": 19399
} | class ____(AsyncJSONBaseProvider, ABC):
logger = logging.getLogger("web3.providers.PersistentConnectionProvider")
has_persistent_connection = True
_send_func_cache: tuple[
int | None, Callable[..., Coroutine[Any, Any, RPCRequest]] | None
] = (None, None)
_recv_func_cache: tuple[
int... | PersistentConnectionProvider |
python | spack__spack | lib/spack/spack/util/package_hash.py | {
"start": 8084,
"end": 14597
} | class ____(ast.NodeTransformer):
"""Remove multi-methods when we know statically that they won't be used.
Say we have multi-methods like this::
class SomePackage:
def foo(self): print("implementation 1")
@when("@1.0")
def foo(self): print("implementation 2")
... | ResolveMultiMethods |
python | sqlalchemy__sqlalchemy | lib/sqlalchemy/sql/roles.py | {
"start": 6959,
"end": 7151
} | class ____(SQLRole):
"""A SELECT statement embedded in DML, typically INSERT from SELECT"""
__slots__ = ()
_role_name = "SELECT statement or equivalent textual object"
| DMLSelectRole |
python | scipy__scipy | scipy/stats/_hypotests.py | {
"start": 16380,
"end": 30025
} | class ____:
def __init__(self, statistic, pvalue):
self.statistic = statistic
self.pvalue = pvalue
def __repr__(self):
return (f"{self.__class__.__name__}(statistic={self.statistic}, "
f"pvalue={self.pvalue})")
def _psi1_mod(x, *, xp=None):
"""
psi1 is defined ... | CramerVonMisesResult |
python | matplotlib__matplotlib | lib/matplotlib/tests/test_ticker.py | {
"start": 23736,
"end": 25354
} | class ____:
def test_set_params(self):
"""
Create symmetrical log locator with default subs =[1.0] numticks = 15,
and change it to something else.
See if change was successful.
Should not exception.
"""
sym = mticker.SymmetricalLogLocator(base=10, linthresh=1)... | TestSymmetricalLogLocator |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-appsflyer/source_appsflyer/source.py | {
"start": 13465,
"end": 13523
} | class ____(EventsMixin, GeoReport):
pass
| GeoEventsReport |
python | jmcnamara__XlsxWriter | xlsxwriter/test/comparison/test_autofilter08.py | {
"start": 315,
"end": 2576
} | class ____(ExcelComparisonTest):
"""
Test file created by XlsxWriter against a file created by Excel.
"""
def setUp(self):
self.set_filename("autofilter08.xlsx")
self.set_text_file("autofilter_data.txt")
def test_create_file(self):
"""
Test the creation of a simple... | TestCompareXLSXFiles |
python | google__pytype | pytype/rewrite/abstract/functions.py | {
"start": 10789,
"end": 10929
} | class ____(Protocol):
def get_return_value(self) -> base.BaseValue: ...
_HasReturnT = TypeVar('_HasReturnT', bound=_HasReturn)
| _HasReturn |
python | ray-project__ray | rllib/examples/envs/classes/parametric_actions_cartpole.py | {
"start": 109,
"end": 3328
} | class ____(gym.Env):
"""Parametric action version of CartPole.
In this env there are only ever two valid actions, but we pretend there are
actually up to `max_avail_actions` actions that can be taken, and the two
valid actions are randomly hidden among this set.
At each step, we emit a dict of:
... | ParametricActionsCartPole |
python | PrefectHQ__prefect | src/prefect/server/schemas/actions.py | {
"start": 4479,
"end": 9774
} | class ____(ActionBaseModel):
"""Data used by the Prefect REST API to create a deployment."""
name: str = Field(
default=...,
description="The name of the deployment.",
examples=["my-deployment"],
)
flow_id: UUID = Field(
default=..., description="The ID of the flow assoc... | DeploymentCreate |
python | pytorch__pytorch | torch/profiler/profiler.py | {
"start": 2839,
"end": 19934
} | class ____:
"""Low-level profiler wrap the autograd profile
Args:
activities (iterable): list of activity groups (CPU, CUDA) to use in profiling, supported values:
``torch.profiler.ProfilerActivity.CPU``, ``torch.profiler.ProfilerActivity.CUDA``,
``torch.profiler.ProfilerActivit... | _KinetoProfile |
python | kamyu104__LeetCode-Solutions | Python/find-the-number-of-subarrays-where-boundary-elements-are-maximum.py | {
"start": 57,
"end": 482
} | class ____(object):
def numberOfSubarrays(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
result = 0
stk = []
for x in nums:
while stk and stk[-1][0] < x:
stk.pop()
if not stk or stk[-1][0] != x:
s... | Solution |
python | Textualize__rich | benchmarks/benchmarks.py | {
"start": 5078,
"end": 5574
} | class ____:
def setup(self):
self.console = Console(
file=StringIO(), color_system="truecolor", legacy_windows=False, width=100
)
self.color = Color.parse("#0d1da0")
def time_downgrade_to_eight_bit(self):
self.color.downgrade(ColorSystem.EIGHT_BIT)
def time_down... | ColorSuite |
python | qdrant__qdrant-client | qdrant_client/http/models/models.py | {
"start": 7026,
"end": 7514
} | class ____(BaseModel, extra="forbid"):
"""
Operation for performing changes of collection aliases. Alias changes are atomic, meaning that no collection modifications can happen between alias operations.
"""
actions: List["AliasOperations"] = Field(
...,
description="Operation for perfor... | ChangeAliasesOperation |
python | django-extensions__django-extensions | tests/test_randomchar_field.py | {
"start": 561,
"end": 3623
} | class ____(TestCase):
def testRandomCharField(self):
m = RandomCharTestModel()
m.save()
assert len(m.random_char_field) == 8, m.random_char_field
def testRandomCharFieldUnique(self):
m = RandomCharTestModelUnique()
m.save()
assert len(m.random_char_field) == 8, m... | RandomCharFieldTest |
python | jmcnamara__XlsxWriter | xlsxwriter/test/comparison/test_default_format14.py | {
"start": 315,
"end": 2245
} | class ____(ExcelComparisonTest):
"""
Test file created by XlsxWriter against a file created by Excel.
"""
def setUp(self):
self.set_filename("default_format14.xlsx")
def test_create_file(self):
"""Test the creation of a file with user defined default format"""
workbook = ... | TestCompareXLSXFiles |
python | weaviate__weaviate-python-client | weaviate/collections/classes/config.py | {
"start": 7788,
"end": 8272
} | class ____(str, BaseEnum):
"""How object deletions in multi node environments should be resolved.
Attributes:
PERMANENT_DELETION: Once an object has been deleted on one node it will be deleted on all nodes in case of conflicts.
NO_AUTOMATED_RESOLUTION: No deletion resolution.
"""
DELET... | ReplicationDeletionStrategy |
python | pallets__quart | src/quart/wrappers/response.py | {
"start": 3607,
"end": 5604
} | class ____(ResponseBody):
"""Provides an async file accessor with range setting.
The :attr:`Response.response` attribute must be async-iterable and
yield bytes, which this wrapper does for a file. In addition it
allows a range to be set on the file, thereby supporting
conditional requests.
Att... | FileBody |
python | run-llama__llama_index | llama-index-packs/llama-index-packs-diff-private-simple-dataset/llama_index/packs/diff_private_simple_dataset/base.py | {
"start": 1535,
"end": 2011
} | class ____(BaseModel):
instruction: str = Field(description="Instruction associated with underlying task.")
text_heading: str = Field(description="Heading used for text.")
label_heading: str = Field(description="Label heading used for label.")
def _batch(iterable, n=1) -> Iterable[Any]:
"""Return iter... | PromptBundle |
python | apache__airflow | providers/standard/tests/unit/standard/decorators/test_branch_external_python.py | {
"start": 1234,
"end": 3919
} | class ____:
# when run in "Parallel" test run environment, sometimes this test runs for a long time
# because creating virtualenv and starting new Python interpreter creates a lot of IO/contention
# possibilities. So we are increasing the timeout for this test to 3x of the default timeout
@pytest.mark.e... | TestBranchExternalPythonDecoratedOperator |
python | pyca__cryptography | tests/hazmat/primitives/test_hash_vectors.py | {
"start": 4048,
"end": 4409
} | class ____:
test_sha3_224 = generate_hash_test(
load_hash_vectors,
os.path.join("hashes", "SHA3"),
["SHA3_224LongMsg.rsp", "SHA3_224ShortMsg.rsp"],
hashes.SHA3_224(),
)
@pytest.mark.supported(
only_if=lambda backend: backend.hash_supported(hashes.SHA3_256()),
skip_messa... | TestSHA3224 |
python | airbytehq__airbyte | airbyte-ci/connectors/pipelines/pipelines/airbyte_ci/connectors/publish/pipeline.py | {
"start": 19897,
"end": 40113
} | class ____(StepModifyingFiles):
context: PublishConnectorContext
title = "Disable progressive rollout in metadata file"
async def _run(self) -> StepResult:
raw_metadata = await dagger_read_file(await self.context.get_connector_dir(include=[METADATA_FILE_NAME]), METADATA_FILE_NAME)
current_m... | DisableProgressiveRollout |
python | numba__numba | numba/tests/npyufunc/test_dufunc.py | {
"start": 29949,
"end": 34743
} | class ____(TestDUFuncMethodsBase):
def _check_reduce(self, ufunc, dtype=None, initial=None):
@njit
def foo(a, axis, dtype, initial):
return ufunc.reduce(a,
axis=axis,
dtype=dtype,
initial=ini... | TestDUFuncReduce |
python | scipy__scipy | scipy/spatial/transform/_rotation_spline.py | {
"start": 6411,
"end": 14244
} | class ____:
"""Interpolate rotations with continuous angular rate and acceleration.
The rotation vectors between each consecutive orientation are cubic
functions of time and it is guaranteed that angular rate and acceleration
are continuous. Such interpolation are analogous to cubic spline
interpol... | RotationSpline |
python | Pylons__pyramid | tests/test_integration.py | {
"start": 566,
"end": 714
} | class ____(Interface):
pass
@view_config(for_=INothing)
@wsgiapp
def wsgiapptest(environ, start_response):
""" """
return '123'
| INothing |
python | ansible__ansible | lib/ansible/module_utils/facts/system/cmdline.py | {
"start": 854,
"end": 2608
} | class ____(BaseFactCollector):
name = 'cmdline'
_fact_ids = set() # type: t.Set[str]
def _get_proc_cmdline(self):
return get_file_content('/proc/cmdline')
def _parse_proc_cmdline(self, data):
cmdline_dict = {}
try:
for piece in shlex.split(data, posix=False):
... | CmdLineFactCollector |
python | huggingface__transformers | src/transformers/models/resnet/convert_resnet_to_pytorch.py | {
"start": 1964,
"end": 6982
} | class ____:
src: nn.Module
dest: nn.Module
verbose: int = 0
src_skip: list = field(default_factory=list)
dest_skip: list = field(default_factory=list)
def __call__(self, x: Tensor):
"""
Transfer the weights of `self.src` to `self.dest` by performing a forward pass using `x` as i... | ModuleTransfer |
python | pytest-dev__pytest | testing/example_scripts/unittest/test_unittest_asynctest.py | {
"start": 146,
"end": 470
} | class ____(asynctest.TestCase):
async def tearDown(self):
teardowns.append(None)
async def test_error(self):
await asyncio.sleep(0)
self.fail("failing on purpose")
async def test_ok(self):
await asyncio.sleep(0)
def test_teardowns(self):
assert len(teardowns) =... | Test |
python | ray-project__ray | python/ray/util/spark/cluster_init.py | {
"start": 69944,
"end": 76922
} | class ____:
"""Create a ray on spark autoscaling cluster."""
def __init__(
self,
head_resources: dict,
worker_node_types: dict,
extra_provider_config: dict,
upscaling_speed: float,
idle_timeout_minutes: float,
):
"""Create the cluster.
Args:
... | AutoscalingCluster |
python | huggingface__transformers | examples/quantization/custom_quantization_int8_example.py | {
"start": 4137,
"end": 5026
} | class ____(QuantizationConfigMixin):
"""
Configuration for INT8 symmetric quantization.
"""
def __init__(self, modules_to_not_convert: Optional[list[str]] = None, **kwargs):
self.quant_method = "int8_symmetric"
self.modules_to_not_convert = modules_to_not_convert
def __repr__(self)... | Int8SymmetricConfig |
python | openai__openai-python | src/openai/resources/beta/beta.py | {
"start": 2236,
"end": 3571
} | class ____(AsyncAPIResource):
@cached_property
def chat(self) -> AsyncChat:
return AsyncChat(self._client)
@cached_property
def realtime(self) -> AsyncRealtime:
return AsyncRealtime(self._client)
@cached_property
def chatkit(self) -> AsyncChatKit:
return AsyncChatKit(se... | AsyncBeta |
python | getsentry__sentry | src/sentry/analytics/events/first_transaction_sent.py | {
"start": 79,
"end": 293
} | class ____(analytics.Event):
organization_id: int
project_id: int
platform: str | None = None
default_user_id: int | None = None
analytics.register(FirstTransactionSentEvent)
| FirstTransactionSentEvent |
python | cython__cython | Cython/Compiler/Code.py | {
"start": 50879,
"end": 94850
} | class ____:
# filename_table {string : int} for finding filename table indexes
# filename_list [string] filenames in filename table order
# input_file_contents dict contents (=list of lines) of any file that was used as input
# to create this output ... | GlobalState |
python | pytorch__pytorch | torch/__init__.py | {
"start": 72311,
"end": 72541
} | class ____(_LegacyStorage):
@classproperty
def dtype(self):
_warn_typed_storage_removal(stacklevel=3)
return self._dtype
@classproperty
def _dtype(self):
return torch.bfloat16
| BFloat16Storage |
python | Unity-Technologies__ml-agents | ml-agents/mlagents/trainers/subprocess_env_manager.py | {
"start": 1876,
"end": 1981
} | class ____(NamedTuple):
cmd: EnvironmentCommand
worker_id: int
payload: Any
| EnvironmentResponse |
python | doocs__leetcode | solution/1500-1599/1583.Count Unhappy Friends/Solution.py | {
"start": 0,
"end": 556
} | class ____:
def unhappyFriends(
self, n: int, preferences: List[List[int]], pairs: List[List[int]]
) -> int:
d = [{x: j for j, x in enumerate(p)} for p in preferences]
p = {}
for x, y in pairs:
p[x] = y
p[y] = x
ans = 0
for x in range(n):
... | Solution |
python | RaRe-Technologies__gensim | gensim/similarities/nmslib.py | {
"start": 3601,
"end": 9603
} | class ____():
"""This class allows to use `NMSLIB <https://github.com/nmslib/nmslib>`_ as indexer for `most_similar` method
from :class:`~gensim.models.word2vec.Word2Vec`, :class:`~gensim.models.doc2vec.Doc2Vec`,
:class:`~gensim.models.fasttext.FastText` and :class:`~gensim.models.keyedvectors.Word2VecKeyed... | NmslibIndexer |
python | spulec__freezegun | freezegun/api.py | {
"start": 9731,
"end": 10778
} | class ____(real_date, metaclass=FakeDateMeta):
def __add__(self, other: Any) -> "FakeDate":
result = real_date.__add__(self, other)
if result is NotImplemented:
return result
return date_to_fakedate(result)
def __sub__(self, other: Any) -> "FakeDate": # type: ignore
... | FakeDate |
python | altair-viz__altair | altair/vegalite/v6/schema/core.py | {
"start": 199281,
"end": 201715
} | class ____(VegaLiteSchema):
"""
BoxPlotConfig schema wrapper.
Parameters
----------
box : bool, dict, :class:`BarConfig`, :class:`AreaConfig`, :class:`LineConfig`, :class:`MarkConfig`, :class:`RectConfig`, :class:`TickConfig`, :class:`AnyMarkConfig`
extent : float, Literal['min-max']
T... | BoxPlotConfig |
python | pytorch__pytorch | torch/multiprocessing/spawn.py | {
"start": 2590,
"end": 7645
} | class ____:
def __init__(self, processes, error_files):
self.error_files = error_files
self.processes = processes
self.sentinels = {
process.sentinel: index for index, process in enumerate(processes)
}
def pids(self):
return [int(process.pid) for process in s... | ProcessContext |
python | keras-team__keras | keras/src/ops/numpy.py | {
"start": 122971,
"end": 123493
} | class ____(Operation):
def call(self, x):
return backend.numpy.isnan(x)
def compute_output_spec(self, x):
return KerasTensor(x.shape, dtype="bool")
@keras_export(["keras.ops.isnan", "keras.ops.numpy.isnan"])
def isnan(x):
"""Test element-wise for NaN and return result as a boolean tensor.... | Isnan |
python | kamyu104__LeetCode-Solutions | Python/shortest-subarray-with-or-at-least-k-i.py | {
"start": 83,
"end": 1136
} | class ____(object):
def minimumSubarrayLength(self, nums, k):
"""
:type nums: List[int]
:type k: int
:rtype: int
"""
def update(x, d, curr):
for i in xrange(len(cnt)):
if x < (1<<i):
break
if not (x&(1<<i... | Solution |
python | dagster-io__dagster | examples/docs_snippets/docs_snippets/integrations/fivetran/customize_fivetran_translator_asset_spec.py | {
"start": 473,
"end": 1181
} | class ____(DagsterFivetranTranslator):
def get_asset_spec(self, props: FivetranConnectorTableProps) -> dg.AssetSpec:
# We create the default asset spec using super()
default_spec = super().get_asset_spec(props)
# We customize the metadata and asset key prefix for all assets
return de... | MyCustomFivetranTranslator |
python | astropy__astropy | astropy/time/tests/test_pickle.py | {
"start": 132,
"end": 1201
} | class ____:
"""Basic pickle test of time"""
def test_pickle(self):
times = ["1999-01-01 00:00:00.123456789", "2010-01-01 00:00:00"]
t1 = Time(times, scale="utc")
for prot in range(pickle.HIGHEST_PROTOCOL):
t1d = pickle.dumps(t1, prot)
t1l = pickle.loads(t1d)
... | TestPickle |
python | jmcnamara__XlsxWriter | xlsxwriter/test/comparison/test_chartsheet03.py | {
"start": 315,
"end": 1425
} | class ____(ExcelComparisonTest):
"""
Test file created by XlsxWriter against a file created by Excel.
"""
def setUp(self):
self.set_filename("chartsheet03.xlsx")
def test_create_file(self):
"""Test the worksheet properties of an XlsxWriter chartsheet file."""
workbook = W... | TestCompareXLSXFiles |
python | doocs__leetcode | solution/0000-0099/0077.Combinations/Solution2.py | {
"start": 0,
"end": 412
} | class ____:
def combine(self, n: int, k: int) -> List[List[int]]:
def dfs(i: int):
if len(t) == k:
ans.append(t[:])
return
if i > n:
return
for j in range(i, n + 1):
t.append(j)
dfs(j + 1)
... | Solution |
python | huggingface__transformers | src/transformers/generation/logits_process.py | {
"start": 50683,
"end": 53556
} | class ____(LogitsProcessor):
r"""
N-grams are groups of "n" consecutive words, characters, or tokens taken from a sequence of text. Given the
sentence: "She runs fast", the bi-grams (n=2) would be ("she", "runs") and ("runs", "fast"). In text generation,
avoiding repetitions of word sequences provides a... | NoRepeatNGramLogitsProcessor |
python | getsentry__sentry | tests/sentry/notifications/notification_action/test_issue_alert_registry_handlers.py | {
"start": 19960,
"end": 20508
} | class ____(TestTicketingIssueAlertHandlerBase):
def setUp(self) -> None:
super().setUp()
self.handler = GithubIssueAlertHandler()
def test_build_rule_action_blob(self) -> None:
for expected in GITHUB_ACTION_DATA_BLOBS:
if expected["id"] == ACTION_FIELD_MAPPINGS[Action.Type.G... | TestGithubIssueAlertHandler |
python | huggingface__transformers | src/transformers/models/swin2sr/modeling_swin2sr.py | {
"start": 9095,
"end": 16110
} | class ____(nn.Module):
def __init__(self, config, dim, num_heads, window_size, pretrained_window_size=[0, 0]):
super().__init__()
if dim % num_heads != 0:
raise ValueError(
f"The hidden size ({dim}) is not a multiple of the number of attention heads ({num_heads})"
... | Swin2SRSelfAttention |
python | jmcnamara__XlsxWriter | xlsxwriter/test/comparison/test_chart_title03.py | {
"start": 315,
"end": 1330
} | class ____(ExcelComparisonTest):
"""
Test file created by XlsxWriter against a file created by Excel.
"""
def setUp(self):
self.set_filename("chart_title03.xlsx")
def test_create_file(self):
"""Test the creation of an XlsxWriter file with default title."""
workbook = Work... | TestCompareXLSXFiles |
python | HypothesisWorks__hypothesis | hypothesis-python/src/hypothesis/strategies/_internal/strategies.py | {
"start": 21949,
"end": 31737
} | class ____(SearchStrategy[Ex]):
"""A strategy which samples from a set of elements. This is essentially
equivalent to using a OneOfStrategy over Just strategies but may be more
efficient and convenient.
"""
_MAX_FILTER_CALLS: ClassVar[int] = 10_000
def __init__(
self,
elements:... | SampledFromStrategy |
python | Lightning-AI__lightning | tests/tests_pytorch/models/test_hparams.py | {
"start": 2805,
"end": 9512
} | class ____(BoringDataModule):
"""Tests that a model can take an object."""
@decorate
@decorate
def __init__(self, hparams, *my_args, **my_kwargs):
super().__init__()
self.save_hyperparameters(hparams)
# -------------------------
# STANDARD TESTS
# -------------------------
def _run_st... | SaveHparamsDecoratedDataModule |
python | eventlet__eventlet | tests/websocket_test.py | {
"start": 757,
"end": 20374
} | class ____(tests.wsgi_test._TestBase):
TEST_TIMEOUT = 5
def set_site(self):
self.site = wsapp
def test_incorrect_headers(self):
http = httplib.HTTPConnection(*self.server_addr)
http.request("GET", "/echo")
response = http.getresponse()
assert response.status == 400
... | TestWebSocket |
python | geekcomputers__Python | inheritance_YahV1729.py | {
"start": 221,
"end": 525
} | class ____(object):
# Constructor
def __init__(self, name):
self.name = name
# To get name
def getName(self):
return self.name
# To check if this person is employee
def isEmployee(self):
return False
# Inherited or Sub class (Note Person in bracket)
| Person |
python | walkccc__LeetCode | solutions/29. Divide Two Integers/29.py | {
"start": 0,
"end": 458
} | class ____:
def divide(self, dividend: int, divisor: int) -> int:
# -2^{31} / -1 = 2^31 will overflow, so return 2^31 - 1.
if dividend == -2**31 and divisor == -1:
return 2**31 - 1
sign = -1 if (dividend > 0) ^ (divisor > 0) else 1
ans = 0
dvd = abs(dividend)
dvs = abs(divisor)
whi... | Solution |
python | joke2k__faker | tests/mymodule/en_US/__init__.py | {
"start": 43,
"end": 113
} | class ____(BaseProvider):
def foo(self):
return "bar"
| Provider |
python | django__django | tests/expressions/models.py | {
"start": 741,
"end": 1295
} | class ____(models.Model):
name = models.CharField(max_length=100)
num_employees = models.PositiveIntegerField()
num_chairs = models.PositiveIntegerField()
ceo = models.ForeignKey(
Employee,
models.CASCADE,
related_name="company_ceo_set",
)
point_of_contact = models.Foreig... | Company |
python | pytorch__pytorch | benchmarks/gpt_fast/mixtral_moe_quantize.py | {
"start": 2490,
"end": 4446
} | class ____:
def __init__(self, mod):
self.mod = mod
@torch.no_grad()
def create_quantized_state_dict(self):
cur_state_dict = self.mod.state_dict()
for fqn, mod in self.mod.named_modules():
if isinstance(mod, torch.nn.Linear) and not fqn.endswith(".gate"):
... | WeightOnlyInt8QuantHandler |
python | qdrant__qdrant-client | qdrant_client/http/models/models.py | {
"start": 124317,
"end": 125020
} | class ____(str, Enum):
"""
Methods for transferring a shard from one node to another. - `stream_records` - Stream all shard records in batches until the whole shard is transferred. - `snapshot` - Snapshot the shard, transfer and restore it on the receiver. - `wal_delta` - Attempt to transfer shard difference... | ShardTransferMethod |
python | numba__numba | numba/tests/test_sets.py | {
"start": 18248,
"end": 20450
} | class ____(BaseTest):
"""
Test unboxing of Python sets into native Numba sets.
"""
@contextlib.contextmanager
def assert_type_error(self, msg):
with self.assertRaises(TypeError) as raises:
yield
if msg is not None:
self.assertRegex(str(raises.exception), msg)... | TestUnboxing |
python | vyperlang__vyper | vyper/ast/nodes.py | {
"start": 38156,
"end": 38483
} | class ____(ExprNode):
__slots__ = ("value",)
def validate(self):
if not isinstance(self.value, Call):
raise StructureException(
"`staticcall` must be followed by a function call",
self.value,
hint="did you forget parentheses?",
)
... | StaticCall |
python | pypa__setuptools | setuptools/command/editable_wheel.py | {
"start": 30377,
"end": 31465
} | class ____(namespaces.Installer):
def __init__(self, distribution, installation_dir, editable_name, src_root) -> None:
self.distribution = distribution
self.src_root = src_root
self.installation_dir = installation_dir
self.editable_name = editable_name
self.outputs: list[str]... | _NamespaceInstaller |
python | pytorch__pytorch | test/dynamo/cpython/3_13/test_set.py | {
"start": 50508,
"end": 50756
} | class ____(_TestSubsets, __TestCase):
left = set()
right = set([1, 2])
name = "one empty, one non-empty"
cases = "!=", "<", "<="
#------------------------------------------------------------------------------
| TestSubsetEmptyNonEmpty |
python | google__jax | jax/experimental/sparse/transform.py | {
"start": 6134,
"end": 8829
} | class ____(NamedTuple):
shape: tuple[int, ...]
data_ref: int | None
indices_ref: int | None = None
indptr_ref: int | None = None
indices_sorted: bool | None = False
unique_indices: bool | None = False
@property
def ndim(self):
return len(self.shape)
def is_sparse(self):
return self.indices_r... | SparsifyValue |
python | ray-project__ray | python/ray/data/_internal/actor_autoscaler/default_actor_autoscaler.py | {
"start": 651,
"end": 9448
} | class ____(ActorAutoscaler):
def __init__(
self,
topology: "Topology",
resource_manager: "ResourceManager",
*,
config: AutoscalingConfig,
):
super().__init__(topology, resource_manager)
self._actor_pool_scaling_up_threshold = (
config.actor_po... | DefaultActorAutoscaler |
python | pikepdf__pikepdf | tests/test_object.py | {
"start": 10316,
"end": 14058
} | class ____:
def test_contains(self):
d = Dictionary({'/Monty': 'Python', '/Flying': 'Circus'})
assert Name.Flying in d
assert Name('/Monty') in d
assert Name.Brian not in d
def test_none(self):
d = pikepdf.Dictionary({'/One': 1, '/Two': 2})
with pytest.raises(Val... | TestDictionary |
python | ray-project__ray | python/ray/autoscaler/v2/schema.py | {
"start": 5601,
"end": 6960
} | class ____:
# Healthy nodes information (non-idle)
active_nodes: List[NodeInfo] = field(default_factory=list)
# Idle node information
idle_nodes: List[NodeInfo] = field(default_factory=list)
# Pending launches.
pending_launches: List[LaunchRequest] = field(default_factory=list)
# Failed laun... | ClusterStatus |
python | python-pillow__Pillow | src/PIL/ExifTags.py | {
"start": 9305,
"end": 9461
} | class ____(IntEnum):
Exif = 0x8769
GPSInfo = 0x8825
MakerNote = 0x927C
Makernote = 0x927C # Deprecated
Interop = 0xA005
IFD1 = -1
| IFD |
python | ray-project__ray | python/ray/_common/tests/test_signature.py | {
"start": 14128,
"end": 16658
} | class ____:
"""Integration tests for signature utilities working together."""
def test_complete_workflow(self):
"""Test complete workflow from function to flatten/recover."""
def test_func(x: int, y: str = "default", z: Optional[Any] = None):
return f"{x}_{y}_{z}"
# Extrac... | TestIntegration |
python | huggingface__transformers | src/transformers/models/sew_d/modeling_sew_d.py | {
"start": 17616,
"end": 18363
} | class ____(nn.Module):
def __init__(self, config):
super().__init__()
self.dense = nn.Linear(config.pooler_hidden_size, config.pooler_hidden_size)
self.dropout = StableDropout(config.pooler_dropout)
self.config = config
def forward(self, hidden_states):
# We "pool" the m... | ContextPooler |
python | walkccc__LeetCode | solutions/174. Dungeon Game/174.py | {
"start": 0,
"end": 345
} | class ____:
def calculateMinimumHP(self, dungeon: list[list[int]]) -> int:
m = len(dungeon)
n = len(dungeon[0])
dp = [math.inf] * (n + 1)
dp[n - 1] = 1
for i in reversed(range(m)):
for j in reversed(range(n)):
dp[j] = min(dp[j], dp[j + 1]) - dungeon[i][j]
dp[j] = max(dp[j], ... | Solution |
python | tiangolo__fastapi | scripts/docs.py | {
"start": 1276,
"end": 17690
} | class ____(HTMLParser):
"""Extract visible text from a string with HTML tags."""
def __init__(self):
super().__init__()
self.text_parts = []
def handle_data(self, data):
self.text_parts.append(data)
def extract_visible_text(self, html: str) -> str:
self.reset()
... | VisibleTextExtractor |
python | apache__airflow | providers/amazon/src/airflow/providers/amazon/aws/hooks/neptune.py | {
"start": 894,
"end": 4704
} | class ____(AwsBaseHook):
"""
Interact with Amazon Neptune.
Additional arguments (such as ``aws_conn_id``) may be specified and
are passed down to the underlying AwsBaseHook.
.. seealso::
- :class:`~airflow.providers.amazon.aws.hooks.base_aws.AwsBaseHook`
"""
AVAILABLE_STATES = ["a... | NeptuneHook |
python | dagster-io__dagster | python_modules/libraries/dagster-gcp/dagster_gcp/pipes/message_readers.py | {
"start": 988,
"end": 2388
} | class ____(PipesChunkedLogReader):
def __init__(
self,
*,
bucket: str,
key: str,
client: Optional[GCSClient] = None,
interval: float = 10,
target_stream: Optional[IO[str]] = None,
# TODO: maybe move this parameter to a different scope
decode_fn... | PipesGCSLogReader |
python | viewflow__viewflow | tests/json/test_json__basics.py | {
"start": 3131,
"end": 3234
} | class ____(forms.ModelForm):
class Meta:
model = Client
exclude = ["data"]
| ClientForm |
python | huggingface__transformers | src/transformers/models/pop2piano/modeling_pop2piano.py | {
"start": 43094,
"end": 58257
} | class ____(Pop2PianoPreTrainedModel, GenerationMixin):
_tied_weights_keys = {
"encoder.embed_tokens.weight": "shared.weight",
"decoder.embed_tokens.weight": "shared.weight",
}
def __init__(self, config: Pop2PianoConfig):
super().__init__(config)
self.config = config
... | Pop2PianoForConditionalGeneration |
python | ApeWorX__ape | src/ape/managers/accounts.py | {
"start": 1018,
"end": 7304
} | class ____(list, ManagerAccessMixin):
__test__ = False
_impersonated_accounts: dict[AddressType, ImpersonatedAccount] = {}
_accounts_by_index: dict[int, AccountAPI] = {}
@log_instead_of_fail(default="<TestAccountManager>")
def __repr__(self) -> str:
return f"<apetest-wallet {self.hd_path}>... | TestAccountManager |
python | pytorch__pytorch | .ci/lumen_cli/cli/lib/common/cli_helper.py | {
"start": 393,
"end": 620
} | class ____(ABC):
def __init__(self, args: Any) -> None:
self.args = args
@abstractmethod
def run(self) -> None:
"""runs main logics, required"""
# Pretty help: keep newlines + show defaults
| BaseRunner |
python | pypa__pip | tests/conftest.py | {
"start": 25071,
"end": 33096
} | class ____:
"""Mock package structure used to generate a PyPI repository.
FakePackage name and version should correspond to sdists (.tar.gz files) in our test
data."""
name: str
version: str
filename: str
metadata: MetadataKind
# This will override any dependencies specified in the act... | FakePackage |
python | doocs__leetcode | solution/3600-3699/3652.Best Time to Buy and Sell Stock using Strategy/Solution.py | {
"start": 0,
"end": 450
} | class ____:
def maxProfit(self, prices: List[int], strategy: List[int], k: int) -> int:
n = len(prices)
s = [0] * (n + 1)
t = [0] * (n + 1)
for i, (a, b) in enumerate(zip(prices, strategy), 1):
s[i] = s[i - 1] + a * b
t[i] = t[i - 1] + a
ans = s[n]
... | Solution |
python | pytorch__pytorch | torch/ao/nn/quantized/modules/functional_modules.py | {
"start": 2819,
"end": 4551
} | class ____(torch.nn.Module):
r"""module to replace FloatFunctional module before FX graph mode quantization,
since activation_post_process will be inserted in top level module directly
Valid operation names:
- add
- cat
- mul
- add_relu
- add_scalar
- mul_sca... | FXFloatFunctional |
python | microsoft__pyright | packages/pyright-internal/src/tests/samples/typedDict18.py | {
"start": 1858,
"end": 1907
} | class ____(TypedDict, Generic[_T1]):
x: _T1
| TD9 |
python | pandas-dev__pandas | pandas/tests/scalar/timestamp/methods/test_normalize.py | {
"start": 114,
"end": 1009
} | class ____:
@pytest.mark.parametrize("arg", ["2013-11-30", "2013-11-30 12:00:00"])
def test_normalize(self, tz_naive_fixture, arg, unit):
tz = tz_naive_fixture
ts = Timestamp(arg, tz=tz).as_unit(unit)
result = ts.normalize()
expected = Timestamp("2013-11-30", tz=tz)
asser... | TestTimestampNormalize |
python | django__django | tests/model_formsets/models.py | {
"start": 3837,
"end": 3963
} | class ____(models.Model):
name = models.CharField(max_length=25)
def __str__(self):
return self.name
| Repository |
python | tensorflow__tensorflow | tensorflow/lite/python/lite.py | {
"start": 81225,
"end": 92335
} | class ____(TFLiteFrozenGraphConverterV2):
"""Converts a TensorFlow model into TensorFlow Lite model.
Attributes:
optimizations: Experimental flag, subject to change. Set of optimizations to
apply. e.g {tf.lite.Optimize.DEFAULT}. (default None, must be None or a
set of values of type `tf.lite.Optimi... | TFLiteConverterV2 |
python | getsentry__sentry | src/sentry/search/events/builder/profile_functions.py | {
"start": 3004,
"end": 3435
} | class ____(ProfileFunctionsQueryBuilderMixin, BaseQueryBuilder):
function_alias_prefix = "sentry_"
config_class = ProfileFunctionsDatasetConfig
def process_results(self, results: Any) -> EventsResponse:
processed: EventsResponse = super().process_results(results)
for row in processed["data"... | ProfileFunctionsQueryBuilder |
python | charliermarsh__ruff | crates/ruff_linter/resources/test/fixtures/pylint/property_with_parameters.py | {
"start": 1063,
"end": 1214
} | class ____:
@cached_property
def cached_prop(self, value): # [property-with-parameters]
...
import abc
import enum
import types
| Cached |
python | numba__numba | numba/core/types/scalars.py | {
"start": 4084,
"end": 4989
} | class ____(Type):
"""
Common base class for np.datetime64 and np.timedelta64.
"""
def __init__(self, unit, *args, **kws):
name = '%s[%s]' % (self.type_name, unit)
self.unit = unit
self.unit_code = npdatetime_helpers.DATETIME_UNITS[self.unit]
super(_NPDatetimeBase, self).... | _NPDatetimeBase |
python | getsentry__sentry | src/sentry/integrations/github_enterprise/integration.py | {
"start": 14401,
"end": 20295
} | class ____(GitHubIntegrationProvider):
key = IntegrationProviderSlug.GITHUB_ENTERPRISE.value
name = "GitHub Enterprise"
metadata = metadata
integration_cls = GitHubEnterpriseIntegration
features = frozenset(
[
IntegrationFeatures.COMMITS,
IntegrationFeatures.ISSUE_BAS... | GitHubEnterpriseIntegrationProvider |
python | openai__openai-python | src/openai/resources/beta/beta.py | {
"start": 5147,
"end": 5725
} | class ____:
def __init__(self, beta: AsyncBeta) -> None:
self._beta = beta
@cached_property
def chatkit(self) -> AsyncChatKitWithStreamingResponse:
return AsyncChatKitWithStreamingResponse(self._beta.chatkit)
@cached_property
def assistants(self) -> AsyncAssistantsWithStreamingResp... | AsyncBetaWithStreamingResponse |
python | pennersr__django-allauth | allauth/headless/account/views.py | {
"start": 8579,
"end": 9195
} | class ____(APIView):
handle_json_input = False
def post(self, request, *args, **kwargs):
process = None
stage = LoginStageController.enter(request, PhoneVerificationStage.key)
if stage:
process = flows.phone_verification.PhoneVerificationStageProcess.resume(
... | ResendPhoneVerificationCodeView |
python | astropy__astropy | astropy/samp/hub.py | {
"start": 54486,
"end": 56022
} | class ____:
"""
A base class to make writing Web Profile GUI consent dialogs
easier.
The concrete class must:
1) Poll ``handle_queue`` periodically, using the timer services
of the GUI's event loop. This function will call
``self.show_dialog`` when a request requires aut... | WebProfileDialog |
python | Lightning-AI__lightning | tests/tests_pytorch/models/test_hparams.py | {
"start": 11474,
"end": 17760
} | class ____(CustomBoringModel, metaclass=_MetaType):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.save_hyperparameters()
if _OMEGACONF_AVAILABLE:
class DictConfSubClassBoringModel(SubClassBoringModel):
def __init__(self, *args, dict_conf=OmegaConf.create(... | MetaTypeBoringModel |
python | PrefectHQ__prefect | src/integrations/prefect-azure/tests/conftest.py | {
"start": 485,
"end": 753
} | class ____:
def __init__(self, items):
self.items = items
async def __aiter__(self):
for item in self.items:
yield item
mock_container = {
"prefect.txt": b"prefect_works",
"folder/prefect.txt": b"prefect_works",
}
| AsyncIter |
python | airbytehq__airbyte | airbyte-integrations/bases/base-normalization/normalization/transform_catalog/stream_processor.py | {
"start": 2055,
"end": 73366
} | class ____(object):
"""
Takes as input an Airbyte Stream as described in the (configured) Airbyte Catalog's Json Schema.
Associated input raw data is expected to be stored in a staging area table.
This processor generates SQL models to transform such a stream into a final table in the destination schem... | StreamProcessor |
python | huggingface__transformers | tests/utils/test_image_processing_utils.py | {
"start": 2871,
"end": 8714
} | class ____(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls._token = TOKEN
def test_push_to_hub(self):
with TemporaryHubRepo(token=self._token) as tmp_repo:
image_processor = ViTImageProcessor.from_pretrained(SAMPLE_IMAGE_PROCESSING_CONFIG_DIR)
image_process... | ImageProcessorPushToHubTester |
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