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 | dagster-io__dagster | python_modules/libraries/dagster-deltalake/dagster_deltalake/config.py | {
"start": 2052,
"end": 3863
} | class ____(Config):
"""Storage configuration for Amazon Web Services (AWS) S3 object store."""
provider: Literal["s3"] = "s3"
access_key_id: Optional[str] = None
"""AWS access key ID"""
secret_access_key: Optional[str] = None
"""AWS access key secret"""
region: Optional[str] = None
"... | S3Config |
python | dask__distributed | distributed/dashboard/components/scheduler.py | {
"start": 20833,
"end": 22364
} | class ____(DashboardComponent):
"""Histogram of memory usage, showing how many workers there are in each bucket of
usage. Replaces the per-worker graph when there are >= 50 workers.
"""
@log_errors
def __init__(self, scheduler, **kwargs):
self.last = 0
self.scheduler = scheduler
... | WorkersMemoryHistogram |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-github/source_github/github_schema.py | {
"start": 1012943,
"end": 1013411
} | class ____(sgqlc.types.Type):
"""Autogenerated return type of UnmarkProjectV2AsTemplate"""
__schema__ = github_schema
__field_names__ = ("client_mutation_id", "project_v2")
client_mutation_id = sgqlc.types.Field(String, graphql_name="clientMutationId")
"""A unique identifier for the client performi... | UnmarkProjectV2AsTemplatePayload |
python | walkccc__LeetCode | solutions/1895. Largest Magic Square/1895.py | {
"start": 0,
"end": 1617
} | class ____:
def largestMagicSquare(self, grid: list[list[int]]) -> int:
m = len(grid)
n = len(grid[0])
# prefixRow[i][j] := the sum of the first j numbers in the i-th row
prefixRow = [[0] * (n + 1) for _ in range(m)]
# prefixCol[i][j] := the sum of the first j numbers in the i-th column
prefix... | Solution |
python | PyCQA__pycodestyle | tests/test_blank_lines.py | {
"start": 9601,
"end": 10114
} | class ____(object):
pass
""")
self.assertEqual([
'E302:9:1', # another_function
'E302:17:1', # SomeCloseClass
], result)
def test_top_level_more_blank_lines(self):
"""
It will trigger an error when more 2 blank lines are found
before top level d... | AFarEnoughClass |
python | sqlalchemy__sqlalchemy | test/orm/test_options.py | {
"start": 27301,
"end": 37167
} | class ____(_fixtures.FixtureTest):
"""test the error messages emitted when using property
options in conjunction with column-only entities, or
for not existing options
"""
run_create_tables = False
run_inserts = None
run_deletes = None
def test_option_with_mapper_PropCompatator(self):... | OptionsNoPropTest |
python | tensorflow__tensorflow | tensorflow/python/training/saving/saveable_object_util.py | {
"start": 27593,
"end": 33071
} | class ____(trackable.Trackable):
"""Converts object's `SaveableObjects` to functions used in TF2 checkpointing.
A class that converts a Trackable object's `SaveableObjects` to save and
restore functions with the same signatures as
`Trackable._serialize_to_tensors` and `Trackable._restore_from_tensors`.
This ... | SaveableCompatibilityConverter |
python | falconry__falcon | falcon/asgi/response.py | {
"start": 1158,
"end": 15928
} | class ____(response.Response):
"""Represents an HTTP response to a client request.
Note:
``Response`` is not meant to be instantiated directly by responders.
Keyword Arguments:
options (dict): Set of global options passed from the App handler.
"""
# PERF(kgriffs): These will be sh... | Response |
python | airbytehq__airbyte | airbyte-integrations/connectors/destination-milvus/destination_milvus/destination.py | {
"start": 808,
"end": 2681
} | class ____(Destination):
indexer: Indexer
embedder: Embedder
def _init_indexer(self, config: ConfigModel):
self.embedder = create_from_config(config.embedding, config.processing)
self.indexer = MilvusIndexer(config.indexing, self.embedder.embedding_dimensions)
def write(
self, ... | DestinationMilvus |
python | jmcnamara__XlsxWriter | xlsxwriter/test/comparison/test_hyperlink24.py | {
"start": 315,
"end": 1461
} | class ____(ExcelComparisonTest):
"""
Test file created by XlsxWriter against a file created by Excel.
"""
def setUp(self):
self.set_filename("hyperlink24.xlsx")
def test_create_file(self):
"""Test the creation of a simple XlsxWriter file with hyperlinks."""
workbook = Wor... | TestCompareXLSXFiles |
python | numpy__numpy | numpy/_core/tests/test_unicode.py | {
"start": 2874,
"end": 2987
} | class ____(CreateZeros):
"""Check the creation of zero-valued arrays (size 2)"""
ulen = 2
| TestCreateZeros_2 |
python | joke2k__faker | faker/providers/ssn/zh_TW/__init__.py | {
"start": 1013,
"end": 1310
} | class ____(SsnProvider):
def ssn(self) -> str:
ssn_without_last_char = self.numerify(self.random_uppercase_letter() + str(self.random_int(1, 2)) + "#######")
last_char = str((10 - checksum(ssn_without_last_char) % 10) % 10)
return ssn_without_last_char + last_char
| Provider |
python | google__pytype | pytype/metrics_test.py | {
"start": 4976,
"end": 8216
} | class ____(unittest.TestCase):
"""Tests for Distribution."""
def setUp(self):
super().setUp()
metrics._prepare_for_test()
def test_accumulation(self):
d = metrics.Distribution("foo")
# Check contents of an empty distribution.
self.assertEqual(0, d._count)
self.assertEqual(0, d._total)
... | DistributionTest |
python | networkx__networkx | networkx/algorithms/planarity.py | {
"start": 6978,
"end": 25509
} | class ____:
"""A class to maintain the state during planarity check."""
__slots__ = [
"G",
"roots",
"height",
"lowpt",
"lowpt2",
"nesting_depth",
"parent_edge",
"DG",
"adjs",
"ordered_adjs",
"ref",
"side",
"... | LRPlanarity |
python | HypothesisWorks__hypothesis | hypothesis-python/tests/django/toystore/test_basic_configuration.py | {
"start": 908,
"end": 1314
} | class ____:
@settings(
suppress_health_check=[HealthCheck.too_slow, HealthCheck.differing_executors]
)
@given(integers())
def test_is_blank_slate(self, unused):
Company.objects.create(name="MickeyCo")
def test_normal_test_1(self):
Company.objects.create(name="MickeyCo")
... | SomeStuff |
python | matplotlib__matplotlib | lib/mpl_toolkits/axisartist/angle_helper.py | {
"start": 5349,
"end": 8798
} | class ____:
deg_mark = r"^{\circ}"
min_mark = r"^{\prime}"
sec_mark = r"^{\prime\prime}"
fmt_d = "$%d" + deg_mark + "$"
fmt_ds = r"$%d.%s" + deg_mark + "$"
# %s for sign
fmt_d_m = r"$%s%d" + deg_mark + r"\,%02d" + min_mark + "$"
fmt_d_ms = r"$%s%d" + deg_mark + r"\,%02d.%s" + min_mark ... | FormatterDMS |
python | PyCQA__pylint | tests/functional/c/class_members.py | {
"start": 62,
"end": 283
} | class ____:
attr: int
# `bar` definitely does not exist here, but in a complex scenario,
# it might. We simply exclude PEP 526 class and instance variables
# from `no-member`.
print(Class().attr)
print(Class.attr)
| Class |
python | ray-project__ray | python/ray/data/aggregate.py | {
"start": 45474,
"end": 49247
} | class ____(AggregateFnV2[List[int], float]):
"""Calculates the percentage of zero values in a numeric column.
This aggregation computes the percentage of zero values in a numeric dataset column.
It can optionally ignore null values when calculating the percentage. The result is
a percentage value betwe... | ZeroPercentage |
python | keras-team__keras | keras/src/ops/numpy_test.py | {
"start": 128400,
"end": 194307
} | class ____(testing.TestCase):
def test_mean(self):
x = np.array([[1, 2, 3], [3, 2, 1]])
self.assertAllClose(knp.mean(x), np.mean(x))
self.assertAllClose(knp.mean(x, axis=()), np.mean(x, axis=()))
self.assertAllClose(knp.mean(x, axis=1), np.mean(x, axis=1))
self.assertAllClose... | NumpyOneInputOpsCorrectnessTest |
python | readthedocs__readthedocs.org | readthedocs/builds/migrations/0015_uploading_build_state.py | {
"start": 149,
"end": 923
} | class ____(migrations.Migration):
safe = Safe.after_deploy()
dependencies = [
("builds", "0014_migrate-doctype-from-project-to-version"),
]
operations = [
migrations.AlterField(
model_name="build",
name="state",
field=models.CharField(
... | Migration |
python | sqlalchemy__sqlalchemy | lib/sqlalchemy/sql/functions.py | {
"start": 60393,
"end": 60532
} | class ____(AnsiFunction[str]):
"""The SESSION_USER() SQL function."""
type = sqltypes.String()
inherit_cache = True
| session_user |
python | getsentry__sentry | tests/sentry/deletions/test_monitor_checkin.py | {
"start": 437,
"end": 14318
} | class ____(APITestCase, TransactionTestCase, HybridCloudTestMixin):
def test_delete_checkin_directly(self) -> None:
"""
Test that deleting a MonitorCheckIn directly (not via Monitor deletion)
properly handles MonitorIncident children via MonitorCheckInDeletionTask.
"""
proje... | DeleteMonitorCheckInTest |
python | sqlalchemy__sqlalchemy | lib/sqlalchemy/sql/type_api.py | {
"start": 54693,
"end": 55830
} | class ____(TypeEngineMixin):
"""Indicates DB-native types supported by an :class:`.Emulated` type."""
@classmethod
def adapt_native_to_emulated(
cls,
impl: Union[TypeEngine[Any], TypeEngineMixin],
**kw: Any,
) -> TypeEngine[Any]:
"""Given an impl, adapt this type's class... | NativeForEmulated |
python | huggingface__transformers | src/transformers/models/phimoe/modeling_phimoe.py | {
"start": 24200,
"end": 25854
} | class ____(GradientCheckpointingLayer):
def __init__(self, config: PhimoeConfig, layer_idx: int):
super().__init__()
self.hidden_size = config.hidden_size
self.self_attn = PhimoeAttention(config, layer_idx)
self.mlp = PhimoeSparseMoeBlock(config)
self.input_layernorm = Phim... | PhimoeDecoderLayer |
python | huggingface__transformers | src/transformers/models/colpali/modular_colpali.py | {
"start": 1467,
"end": 15474
} | class ____(PaliGemmaProcessor):
r"""
Constructs a ColPali processor which wraps a PaliGemmaProcessor and special methods to process images and queries, as
well as to compute the late-interaction retrieval score.
[`ColPaliProcessor`] offers all the functionalities of [`PaliGemmaProcessor`]. See the [`~P... | ColPaliProcessor |
python | walkccc__LeetCode | solutions/1636. Sort Array by Increasing Frequency/1636.py | {
"start": 222,
"end": 555
} | class ____:
def frequencySort(self, nums: list[int]) -> list[int]:
ans = []
heap = []
for num, freq in collections.Counter(nums).items():
heapq.heappush(heap, T(num, freq))
while len(heap) > 0:
num = heap[0].num
freq = heapq.heappop(heap).freq
ans.extend([num] * freq)
re... | Solution |
python | pytorch__pytorch | benchmarks/operator_benchmark/pt/addmm_test.py | {
"start": 2300,
"end": 4614
} | class ____(op_bench.TorchBenchmarkBase):
def init(self, B, M, N, K, device, dtype):
self.inputs = {
"input_one": torch.rand(
(M, N), device=device, requires_grad=self.auto_set(), dtype=dtype
),
"batch1": torch.rand(
(B, M, K), device=device... | AddbmmBenchmark |
python | dagster-io__dagster | python_modules/dagster/dagster/_core/execution/context/invocation.py | {
"start": 2924,
"end": 5087
} | class ____:
"""Base class for any direct invocation execution contexts. Each type of execution context
(ex. OpExecutionContext, AssetExecutionContext) needs to have a variant for direct invocation.
Those direct invocation contexts have some methods that are not available until the context
is bound to a ... | BaseDirectExecutionContext |
python | google__pytype | pytype/pyc/opcodes.py | {
"start": 8226,
"end": 8424
} | class ____(Opcode):
_FLAGS = HAS_JUNKNOWN
__slots__ = ()
# NOTE: GET_AWAITABLE gains an argument in Python 3.11, but adding the argument
# here causes tests in earlier versions to fail.
| YIELD_FROM |
python | ray-project__ray | python/ray/dag/compiled_dag_node.py | {
"start": 15138,
"end": 16138
} | class ____:
"""Represents an input to an ExecutableTask.
Args:
input_variant: either an unresolved input (when type is ChannelInterface)
, or a resolved input value (when type is Any)
channel_idx: if input_variant is an unresolved input, this is the index
into the input ... | _ExecutableTaskInput |
python | psf__requests | tests/test_utils.py | {
"start": 9555,
"end": 10512
} | class ____:
@pytest.mark.parametrize(
"path",
(
"/",
__file__,
pytest.__file__,
"/etc/invalid/location",
),
)
def test_unzipped_paths_unchanged(self, path):
assert path == extract_zipped_paths(path)
def test_zipped_paths_ex... | TestExtractZippedPaths |
python | dask__dask | dask/dataframe/tseries/resample.py | {
"start": 6326,
"end": 6382
} | class ____(ResampleReduction):
how = "std"
| ResampleStd |
python | doocs__leetcode | lcof/面试题58 - I. 翻转单词顺序/Solution.py | {
"start": 0,
"end": 400
} | class ____:
def reverseWords(self, s: str) -> str:
words = []
i, n = 0, len(s)
while i < n:
while i < n and s[i] == " ":
i += 1
if i < n:
j = i
while j < n and s[j] != " ":
j += 1
word... | Solution |
python | doocs__leetcode | solution/1700-1799/1702.Maximum Binary String After Change/Solution.py | {
"start": 0,
"end": 245
} | class ____:
def maximumBinaryString(self, binary: str) -> str:
k = binary.find('0')
if k == -1:
return binary
k += binary[k + 1 :].count('0')
return '1' * k + '0' + '1' * (len(binary) - k - 1)
| Solution |
python | davidhalter__jedi | jedi/inference/gradual/typing.py | {
"start": 8912,
"end": 10166
} | class ____(LazyValueWrapper):
def __init__(self, parent_context, origin_tree_name, actual):
self.inference_state = parent_context.inference_state
self.parent_context = parent_context
self._origin_tree_name = origin_tree_name
self._actual = actual # e.g. builtins.list
@property
... | TypeAlias |
python | apache__airflow | airflow-core/src/airflow/jobs/dag_processor_job_runner.py | {
"start": 1184,
"end": 2366
} | class ____(BaseJobRunner, LoggingMixin):
"""
DagProcessorJobRunner is a job runner that runs a DagFileProcessorManager processor.
:param job: Job instance to use
:param processor: DagFileProcessorManager instance to use
"""
job_type = "DagProcessorJob"
def __init__(
self,
... | DagProcessorJobRunner |
python | pytorch__pytorch | torch/profiler/_memory_profiler.py | {
"start": 1259,
"end": 1517
} | class ____(enum.Enum):
PREEXISTING = enum.auto()
CREATE = enum.auto()
INCREMENT_VERSION = enum.auto()
DESTROY = enum.auto()
_ACTION_TO_INDEX = {i: i.value for i in Action}
@dataclasses.dataclass(eq=True, unsafe_hash=False, frozen=True)
| Action |
python | pytorch__pytorch | test/dynamo/test_functions.py | {
"start": 85475,
"end": 86699
} | class ____(torch.nn.Module):
def forward(self, s9: "Sym(s9)", L_lambda0_keywords_y_: "f32[s9, s9]"):
l_lambda0_keywords_y_ = L_lambda0_keywords_y_
mul: "f32[s9, s9]" = l_lambda0_keywords_y_ * l_lambda0_keywords_y_
add: "f32[s9, s9]" = l_lambda0_keywords_y_ + l_lambda0_keywords_y_; l_lambd... | GraphModule |
python | Textualize__textual | tests/test_app_focus_blur.py | {
"start": 186,
"end": 2840
} | class ____(App[None]):
AUTO_FOCUS = "#input-4"
def compose(self) -> ComposeResult:
for n in range(10):
yield Input(id=f"input-{n}")
async def test_app_blur() -> None:
"""Test that AppBlur removes focus."""
async with FocusBlurApp().run_test() as pilot:
assert pilot.app.fo... | FocusBlurApp |
python | getsentry__sentry | src/sentry/issues/endpoints/related_issues.py | {
"start": 913,
"end": 2556
} | class ____(GroupEndpoint):
owner = ApiOwner.ISSUES
publish_status = {"GET": ApiPublishStatus.EXPERIMENTAL}
enforce_rate_limit = True
rate_limits = RateLimitConfig(
limit_overrides={
"GET": {
RateLimitCategory.IP: RateLimit(limit=15, window=5),
RateLimi... | RelatedIssuesEndpoint |
python | kamyu104__LeetCode-Solutions | Python/number-of-excellent-pairs.py | {
"start": 128,
"end": 591
} | class ____(object):
def countExcellentPairs(self, nums, k):
"""
:type nums: List[int]
:type k: int
:rtype: int
"""
def popcount(x):
return bin(x)[2:].count('1')
cnt = collections.Counter(popcount(x) for x in set(nums))
return sum(cnt[i]*cn... | Solution |
python | kamyu104__LeetCode-Solutions | Python/find-array-given-subset-sums.py | {
"start": 5679,
"end": 7009
} | class ____(object):
def recoverArray(self, n, sums):
"""
:type n: int
:type sums: List[int]
:rtype: List[int]
"""
dp = {k: v for k, v in collections.Counter(sums).iteritems()}
sorted_sums = sorted(dp.iterkeys()) # Time: O(2^n * log(2^n)) = O(n * 2^n)
... | Solution4 |
python | weaviate__weaviate-python-client | weaviate/backup/backup.py | {
"start": 1998,
"end": 2215
} | class ____(BaseModel):
"""Return type of the backup status methods."""
error: Optional[str] = Field(default=None)
status: BackupStatus
path: str
backup_id: str = Field(alias="id")
| BackupStatusReturn |
python | bokeh__bokeh | src/bokeh/client/states.py | {
"start": 1815,
"end": 1928
} | class ____(Enum):
NO_ERROR = auto()
HTTP_ERROR = auto()
NETWORK_ERROR = auto()
| ErrorReason |
python | huggingface__transformers | src/transformers/models/timesformer/modeling_timesformer.py | {
"start": 9069,
"end": 9711
} | class ____(nn.Module):
"""
The residual connection is defined in TimesformerLayer instead of here (as is the case with other models), due to
the layernorm applied before each block.
"""
def __init__(self, config: TimesformerConfig) -> None:
super().__init__()
self.dense = nn.Linear(... | TimesformerSelfOutput |
python | doocs__leetcode | solution/2700-2799/2787.Ways to Express an Integer as Sum of Powers/Solution.py | {
"start": 0,
"end": 408
} | class ____:
def numberOfWays(self, n: int, x: int) -> int:
mod = 10**9 + 7
f = [[0] * (n + 1) for _ in range(n + 1)]
f[0][0] = 1
for i in range(1, n + 1):
k = pow(i, x)
for j in range(n + 1):
f[i][j] = f[i - 1][j]
if k <= j:
... | Solution |
python | mlflow__mlflow | mlflow/types/responses_helpers.py | {
"start": 6101,
"end": 6535
} | class ____(BaseModel):
tool_choice: str | ToolChoiceFunction | None = None
@model_validator(mode="after")
def check_tool_choice(self) -> "ToolChoice":
if (
self.tool_choice
and isinstance(self.tool_choice, str)
and self.tool_choice not in {"none", "auto", "requir... | ToolChoice |
python | ansible__ansible | lib/ansible/plugins/action/set_fact.py | {
"start": 945,
"end": 2186
} | class ____(ActionBase):
TRANSFERS_FILES = False
_requires_connection = False
def run(self, tmp=None, task_vars=None):
if task_vars is None:
task_vars = dict()
result = super(ActionModule, self).run(tmp, task_vars)
del tmp # tmp no longer has any effect
facts ... | ActionModule |
python | python-poetry__poetry | src/poetry/console/commands/env/info.py | {
"start": 288,
"end": 2688
} | class ____(Command):
name = "env info"
description = "Displays information about the current environment."
options: ClassVar[list[Option]] = [
option("path", "p", "Only display the environment's path."),
option(
"executable", "e", "Only display the environment's python executabl... | EnvInfoCommand |
python | pypa__pip | src/pip/_vendor/rich/layout.py | {
"start": 883,
"end": 947
} | class ____(Exception):
"""Layout related error."""
| LayoutError |
python | astropy__astropy | astropy/time/formats.py | {
"start": 3359,
"end": 17488
} | class ____:
"""
Base class for time representations.
Parameters
----------
val1 : numpy ndarray, list, number, str, or bytes
Values to initialize the time or times. Bytes are decoded as ascii.
Quantities with time units are allowed for formats where the
interpretation is un... | TimeFormat |
python | getsentry__sentry | src/sentry/dynamic_sampling/rules/biases/custom_rule_bias.py | {
"start": 458,
"end": 2100
} | class ____(Bias):
"""
Boosts to 100% sample rate all the traces matching an active custom rule.
"""
def generate_rules(self, project: Project, base_sample_rate: float) -> list[PolymorphicRule]:
rules = CustomDynamicSamplingRule.get_project_rules(project)
ret_val: list[PolymorphicRule] ... | CustomRuleBias |
python | mlflow__mlflow | mlflow/utils/lazy_load.py | {
"start": 80,
"end": 1726
} | class ____(types.ModuleType):
"""Class for module lazy loading.
This class helps lazily load modules at package level, which avoids pulling in large
dependencies like `tensorflow` or `torch`. This class is mirrored from wandb's LazyLoader:
https://github.com/wandb/wandb/blob/79b2d4b73e3a9e4488e503c3131... | LazyLoader |
python | huggingface__transformers | tests/models/gpt_neox_japanese/test_modeling_gpt_neox_japanese.py | {
"start": 7966,
"end": 11046
} | class ____(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixin, unittest.TestCase):
all_model_classes = (GPTNeoXJapaneseModel, GPTNeoXJapaneseForCausalLM) if is_torch_available() else ()
pipeline_model_mapping = (
{"feature-extraction": GPTNeoXJapaneseModel, "text-generation": GPTNeoXJapaneseFo... | GPTNeoXModelJapaneseTest |
python | cython__cython | Cython/Compiler/Nodes.py | {
"start": 12223,
"end": 14177
} | class ____(Node):
"""
Sets compiler directives for the children nodes
"""
# directives {string:value} A dictionary holding the right value for
# *all* possible directives.
# body Node
child_attrs = ["body"]
@classmethod
def for_direct... | CompilerDirectivesNode |
python | huggingface__transformers | src/transformers/models/mixtral/modular_mixtral.py | {
"start": 8316,
"end": 9274
} | class ____(nn.Module):
def __init__(self, config):
super().__init__()
self.top_k = config.num_experts_per_tok
self.jitter_noise = config.router_jitter_noise
self.gate = MixtralTopKRouter(config)
self.experts = MixtralExperts(config)
def forward(self, hidden_states: torch... | MixtralSparseMoeBlock |
python | pennersr__django-allauth | tests/apps/socialaccount/providers/wahoo/tests.py | {
"start": 238,
"end": 981
} | class ____(OAuth2TestsMixin, TestCase):
provider_id = WahooProvider.id
def get_mocked_response(self):
# https://cloud-api.wahooligan.com/#users
return MockedResponse(
HTTPStatus.OK,
"""
{
"id": 60462,
"height": "2.0",
... | WahooTests |
python | readthedocs__readthedocs.org | readthedocs/config/tests/test_validation.py | {
"start": 3067,
"end": 3757
} | class ____:
def test_it_accepts_unicode(self):
result = validate_string("Unicöde")
assert isinstance(result, str)
def test_it_accepts_nonunicode(self):
result = validate_string("Unicode")
assert isinstance(result, str)
def test_it_rejects_float(self):
with raises(Co... | TestValidateString |
python | tensorflow__tensorflow | tensorflow/python/kernel_tests/array_ops/array_ops_test.py | {
"start": 46265,
"end": 47662
} | class ____(object):
def __init__(self, test, x, tensor_type=dtypes.float32, use_resource=False):
self.tensor_type = tensor_type
self.test = test
self._use_resource = use_resource
self.x_np = np.array(x).astype(tensor_type.as_numpy_dtype)
# Give the value a non-zero imaginary component for comple... | StridedSliceAssignChecker |
python | geekcomputers__Python | insta_monitering/insta_datafetcher.py | {
"start": 8503,
"end": 9217
} | class ____(multiprocessing.Process):
def __init__(self, user, tags, type, productId):
try:
multiprocessing.Process.__init__(self)
self.user = user
self.tags = tags
self.type = type
self.productId = productId
except Exception as err:
... | theradPorcess |
python | kamyu104__LeetCode-Solutions | Python/solve-the-equation.py | {
"start": 41,
"end": 566
} | class ____(object):
def solveEquation(self, equation):
"""
:type equation: str
:rtype: str
"""
a, b, side = 0, 0, 1
for eq, sign, num, isx in re.findall('(=)|([-+]?)(\d*)(x?)', equation):
if eq:
side = -1
elif isx:
... | Solution |
python | apache__airflow | providers/google/tests/unit/google/cloud/operators/test_managed_kafka.py | {
"start": 6488,
"end": 7798
} | class ____:
@mock.patch(MANAGED_KAFKA_PATH.format("types.Cluster.to_dict"))
@mock.patch(MANAGED_KAFKA_PATH.format("ManagedKafkaHook"))
def test_execute(self, mock_hook, to_dict_mock):
op = ManagedKafkaUpdateClusterOperator(
task_id=TASK_ID,
gcp_conn_id=GCP_CONN_ID,
... | TestManagedKafkaUpdateClusterOperator |
python | huggingface__transformers | src/transformers/models/swin2sr/modeling_swin2sr.py | {
"start": 33714,
"end": 35092
} | class ____(nn.Module):
"""Upsample module.
Args:
scale (`int`):
Scale factor. Supported scales: 2^n and 3.
num_features (`int`):
Channel number of intermediate features.
"""
def __init__(self, scale, num_features):
super().__init__()
self.scale ... | Upsample |
python | google__pytype | pytype/abstract/_singletons.py | {
"start": 6457,
"end": 7948
} | class ____(_base.BaseValue):
"""A Singleton class must only be instantiated once.
This is essentially an ABC for Unsolvable, Empty, and others.
"""
# TODO: b/350643999 - Should rather be a ClassVar but it breaks build
# investigate and fix.
_instance: Optional["Singleton"] = None
def __new__(cls, *args,... | Singleton |
python | huggingface__transformers | src/transformers/models/zamba2/modeling_zamba2.py | {
"start": 78452,
"end": 83455
} | class ____(Zamba2PreTrainedModel):
def __init__(self, config):
super().__init__(config)
self.num_labels = config.num_labels
self.model = Zamba2Model(config)
self.score = nn.Linear(config.hidden_size, self.num_labels, bias=False)
# Initialize weights and apply final processin... | Zamba2ForSequenceClassification |
python | cython__cython | Cython/Debugger/Tests/test_libcython_in_gdb.py | {
"start": 13922,
"end": 15247
} | class ____(DebugTestCase):
def setUp(self):
super().setUp()
self.fd, self.tmpfilename = tempfile.mkstemp()
self.tmpfile = os.fdopen(self.fd, 'r+')
def tearDown(self):
super().tearDown()
try:
self.tmpfile.close()
finally:
os.remove(self.t... | TestExec |
python | anthropics__anthropic-sdk-python | src/anthropic/types/beta_authentication_error.py | {
"start": 199,
"end": 301
} | class ____(BaseModel):
message: str
type: Literal["authentication_error"]
| BetaAuthenticationError |
python | HypothesisWorks__hypothesis | hypothesis-python/tests/cover/test_unittest.py | {
"start": 1230,
"end": 1588
} | class ____(unittest.TestCase):
@fails_with(FailedHealthCheck)
@given(st.integers())
def setUp(self, i):
pass
def test(self):
"""Provide something to set up for, so the setUp method is called."""
SUBTEST_SUITE = """
import unittest
from hypothesis import given, settings, strategies as ... | test_given_on_setUp_fails_health_check |
python | huggingface__transformers | src/transformers/models/nanochat/modeling_nanochat.py | {
"start": 12700,
"end": 14461
} | class ____(GradientCheckpointingLayer):
def __init__(self, config: NanoChatConfig, layer_idx: int):
super().__init__()
self.hidden_size = config.hidden_size
self.self_attn = NanoChatAttention(config=config, layer_idx=layer_idx)
self.mlp = NanoChatMLP(config)
self.input_lay... | NanoChatDecoderLayer |
python | apache__airflow | airflow-core/tests/unit/core/test_stats.py | {
"start": 15627,
"end": 16230
} | class ____:
def setup_method(self):
pytest.importorskip("datadog")
from datadog import DogStatsd
self.dogstatsd_client = Mock(spec=DogStatsd)
self.dogstatsd = SafeDogStatsdLogger(self.dogstatsd_client, metrics_tags=True)
def test_does_send_stats_using_dogstatsd_with_tags(self):... | TestDogStatsWithMetricsTags |
python | tensorflow__tensorflow | tensorflow/python/distribute/numpy_dataset.py | {
"start": 3647,
"end": 3800
} | class ____(object):
"""Used with `colocate_with` to create a non-mirrored variable."""
def __init__(self, device):
self.device = device
| SingleDevice |
python | apache__airflow | providers/dingding/tests/unit/dingding/operators/test_dingding.py | {
"start": 1043,
"end": 2374
} | class ____:
_config = {
"dingding_conn_id": "dingding_default",
"message_type": "text",
"message": "Airflow dingding webhook test",
"at_mobiles": ["123", "456"],
"at_all": False,
}
def setup_method(self):
args = {"owner": "airflow", "start_date": DEFAULT_DATE... | TestDingdingOperator |
python | pypa__setuptools | setuptools/tests/config/test_apply_pyprojecttoml.py | {
"start": 19420,
"end": 19933
} | class ____:
def test_namespace_packages(self, tmp_path):
pyproject = tmp_path / "pyproject.toml"
config = """
[project]
name = "myproj"
version = "42"
[tool.setuptools]
namespace-packages = ["myproj.pkg"]
"""
pyproject.write_text(cleandoc(confi... | TestDeprecatedFields |
python | pydantic__pydantic | pydantic/_internal/_core_metadata.py | {
"start": 295,
"end": 5162
} | class ____(TypedDict, total=False):
"""A `TypedDict` for holding the metadata dict of the schema.
Attributes:
pydantic_js_functions: List of JSON schema functions that resolve refs during application.
pydantic_js_annotation_functions: List of JSON schema functions that don't resolve refs during... | CoreMetadata |
python | matplotlib__matplotlib | lib/matplotlib/cbook.py | {
"start": 5565,
"end": 13295
} | class ____:
"""
Handle registering, processing, blocking, and disconnecting
for a set of signals and callbacks:
>>> def oneat(x):
... print('eat', x)
>>> def ondrink(x):
... print('drink', x)
>>> from matplotlib.cbook import CallbackRegistry
>>> call... | CallbackRegistry |
python | falconry__falcon | tests/test_middleware.py | {
"start": 529,
"end": 628
} | class ____:
def process_request(self, req, resp):
self.req = req
| CaptureRequestMiddleware |
python | huggingface__transformers | src/transformers/models/ernie/modular_ernie.py | {
"start": 4932,
"end": 4972
} | class ____(BertLayer):
pass
| ErnieLayer |
python | keras-team__keras | keras/src/metrics/reduction_metrics.py | {
"start": 3171,
"end": 5119
} | class ____(Metric):
"""Compute the (weighted) mean of the given values.
For example, if values is `[1, 3, 5, 7]` then the mean is 4.
If `sample_weight` was specified as `[1, 1, 0, 0]` then the mean would be 2.
This metric creates two variables, `total` and `count`.
The mean value returned is simpl... | Mean |
python | apache__airflow | airflow-core/src/airflow/models/xcom_arg.py | {
"start": 4929,
"end": 8971
} | class ____(SchedulerXComArg):
args: Sequence[SchedulerXComArg]
fillvalue: Any
@classmethod
def _deserialize(cls, data: dict[str, Any], dag: SerializedDAG) -> Self:
return cls(
[deserialize_xcom_arg(arg, dag) for arg in data["args"]],
fillvalue=data.get("fillvalue", NOTSE... | SchedulerZipXComArg |
python | getsentry__sentry | tests/sentry/models/test_apitoken.py | {
"start": 7449,
"end": 9161
} | class ____(TestCase):
def setUp(self) -> None:
self.user = self.create_user()
self.proxy = self.create_user()
self.org = self.create_organization()
self.internal_app = self.create_internal_integration(
name="Internal App",
organization=self.org,
)
... | ApiTokenInternalIntegrationTest |
python | numba__numba | numba/cuda/cudadrv/devicearray.py | {
"start": 18521,
"end": 24888
} | class ____(DeviceNDArrayBase):
'''
An on-GPU array type
'''
def is_f_contiguous(self):
'''
Return true if the array is Fortran-contiguous.
'''
return self._dummy.is_f_contig
@property
def flags(self):
"""
For `numpy.ndarray` compatibility. Ideally... | DeviceNDArray |
python | scrapy__scrapy | tests/test_responsetypes.py | {
"start": 175,
"end": 4983
} | class ____:
def test_from_filename(self):
mappings = [
("data.bin", Response),
("file.txt", TextResponse),
("file.xml.gz", Response),
("file.xml", XmlResponse),
("file.html", HtmlResponse),
("file.unknownext", Response),
]
... | TestResponseTypes |
python | walkccc__LeetCode | solutions/1248. Count Number of Nice Subarrays/1248.py | {
"start": 0,
"end": 510
} | class ____:
def numberOfSubarrays(self, nums: list[int], k: int) -> int:
def numberOfSubarraysAtMost(k: int) -> int:
ans = 0
l = 0
r = 0
while r <= len(nums):
if k >= 0:
ans += r - l
if r == len(nums):
break
if nums[r] & 1:
k -... | Solution |
python | pytorch__pytorch | torch/nn/modules/padding.py | {
"start": 13813,
"end": 14075
} | class ____(Module):
__constants__ = ["padding"]
padding: Sequence[int]
def forward(self, input: Tensor) -> Tensor:
return F.pad(input, self.padding, "reflect")
def extra_repr(self) -> str:
return f"{self.padding}"
| _ReflectionPadNd |
python | django__django | django/views/generic/detail.py | {
"start": 6748,
"end": 7040
} | class ____(SingleObjectTemplateResponseMixin, BaseDetailView):
"""
Render a "detail" view of an object.
By default this is a model instance looked up from `self.queryset`, but the
view will support display of *any* object by overriding
`self.get_object()`.
"""
| DetailView |
python | PrefectHQ__prefect | src/integrations/prefect-github/prefect_github/schemas/graphql_schema.py | {
"start": 272130,
"end": 272486
} | class ____(sgqlc.types.Type):
"""
See source code for more info.
"""
__schema__ = graphql_schema
__field_names__ = ("client_mutation_id", "owner")
client_mutation_id = sgqlc.types.Field(String, graphql_name="clientMutationId")
owner = sgqlc.types.Field("VerifiableDomainOwner", graphql_name=... | DeleteVerifiableDomainPayload |
python | sqlalchemy__sqlalchemy | lib/sqlalchemy/exc.py | {
"start": 10302,
"end": 10462
} | class ____(InvalidRequestError):
"""An operation was requested from a connection, cursor, or other
object that's in a closed state."""
| ResourceClosedError |
python | pandas-dev__pandas | asv_bench/benchmarks/gil.py | {
"start": 2055,
"end": 2851
} | class ____:
params = ([2, 4, 8], ["count", "last", "max", "mean", "min", "prod", "sum", "var"])
param_names = ["threads", "method"]
def setup(self, threads, method):
N = 10**6
ngroups = 10**3
df = DataFrame(
{"key": np.random.randint(0, ngroups, size=N), "data": np.rando... | ParallelGroupbyMethods |
python | jmcnamara__XlsxWriter | xlsxwriter/test/comparison/test_format24.py | {
"start": 315,
"end": 994
} | class ____(ExcelComparisonTest):
"""
Test file created by XlsxWriter against a file created by Excel.
"""
def setUp(self):
self.set_filename("format24.xlsx")
def test_create_file(self):
"""Test the creation of a simple XlsxWriter file with automatic color."""
workbook = W... | TestCompareXLSXFiles |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-recharge/unit_tests/integration/streams/test_credit_adjustments.py | {
"start": 1848,
"end": 3834
} | class ____(StreamTestCase):
_STREAM_NAME = "credit_adjustments"
@HttpMocker()
def test_state_message_produced_while_read_and_state_match_latest_record(self, http_mocker: HttpMocker) -> None:
min_cursor_value = "2025-04-13T00:00:00+00:00"
max_cursor_value = "2025-05-13T00:00:00+00:00"
... | TestIncremental |
python | agronholm__apscheduler | src/apscheduler/abc.py | {
"start": 602,
"end": 1621
} | class ____(Iterator[datetime], metaclass=ABCMeta):
"""
Abstract base class that defines the interface that every trigger must implement.
"""
__slots__ = ()
@abstractmethod
def next(self) -> datetime | None:
"""
Return the next datetime to fire on.
If no such datetime c... | Trigger |
python | huggingface__transformers | src/transformers/models/deepseek_vl/image_processing_deepseek_vl_fast.py | {
"start": 1674,
"end": 7538
} | class ____(BaseImageProcessorFast):
resample = PILImageResampling.BICUBIC
image_mean = OPENAI_CLIP_MEAN
image_std = OPENAI_CLIP_STD
size = {"height": 384, "width": 384}
min_size = 14
do_resize = True
do_rescale = True
do_normalize = True
do_pad = True
valid_kwargs = DeepseekVLIma... | DeepseekVLImageProcessorFast |
python | numba__numba | numba/cuda/cudadrv/nvvm.py | {
"start": 1742,
"end": 6589
} | class ____(object):
'''Process-wide singleton.
'''
_PROTOTYPES = {
# nvvmResult nvvmVersion(int *major, int *minor)
'nvvmVersion': (nvvm_result, POINTER(c_int), POINTER(c_int)),
# nvvmResult nvvmCreateProgram(nvvmProgram *cu)
'nvvmCreateProgram': (nvvm_result, POINTER(nvvm_... | NVVM |
python | charliermarsh__ruff | crates/ruff_python_formatter/resources/test/fixtures/black/cases/annotations.py | {
"start": 28,
"end": 224
} | class ____:
def foo(self):
if True:
content_ids: Mapping[
str, Optional[ContentId]
] = self.publisher_content_store.store_config_contents(files)
| Foo |
python | doocs__leetcode | solution/0100-0199/0146.LRU Cache/Solution.py | {
"start": 0,
"end": 162
} | class ____:
def __init__(self, key: int = 0, val: int = 0):
self.key = key
self.val = val
self.prev = None
self.next = None
| Node |
python | Lightning-AI__lightning | tests/tests_pytorch/strategies/test_single_device.py | {
"start": 2415,
"end": 3073
} | class ____: ...
def test_strategy_pickle():
strategy = SingleDeviceStrategy("cpu")
optimizer = MockOptimizer()
strategy.optimizers = [optimizer]
assert isinstance(strategy.optimizers[0], MockOptimizer)
assert isinstance(strategy._lightning_optimizers[0], LightningOptimizer)
state = pickle.du... | MockOptimizer |
python | sphinx-doc__sphinx | tests/roots/test-ext-autodoc/target/docstring_signature.py | {
"start": 0,
"end": 33
} | class ____:
"""A(foo, bar)"""
| A |
python | mlflow__mlflow | mlflow/gateway/app.py | {
"start": 1795,
"end": 7308
} | class ____(FastAPI):
def __init__(self, config: GatewayConfig, limiter: Limiter, *args: Any, **kwargs: Any):
super().__init__(*args, **kwargs)
self.state.limiter = limiter
self.add_exception_handler(RateLimitExceeded, _rate_limit_exceeded_handler)
self.dynamic_endpoints: dict[str, En... | GatewayAPI |
python | cython__cython | tests/run/test_grammar.py | {
"start": 10420,
"end": 10624
} | class ____:
def __init__(self):
self._dct = {}
def __setitem__(self, item, value):
self._dct[item.lower()] = value
def __getitem__(self, item):
return self._dct[item]
| CNS |
python | huggingface__transformers | tests/repo_utils/test_check_copies.py | {
"start": 4681,
"end": 5460
} | class ____:
attr_1 = 1
attr_2 = 3
def __init__(self, a=1, b=2):
self.a = a
self.b = b
# Ignore copy
def only_in_roberta_to_be_ignored(self, c):
return 3
# Copied from transformers.models.dummy_gpt2.modeling_dummy_gpt2.GPT2DummyModel.forward
def forward(self, c):
... | RobertaBertDummyModel |
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