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 | numba__numba | numba/tests/test_listobject.py | {
"start": 38574,
"end": 39513
} | class ____(MemoryLeakMixin, TestCase):
"""Test list iter. """
def test_list_iter(self):
@njit
def foo(items):
l = listobject.new_list(int32)
l.extend(items)
# use a simple sum to check this w/o having to return a list
r = 0
for j in l:... | TestIter |
python | allegroai__clearml | clearml/backend_api/services/v2_13/events.py | {
"start": 34824,
"end": 37057
} | class ____(Response):
"""
Response of events.add_batch endpoint.
:param added:
:type added: int
:param errors:
:type errors: int
:param errors_info:
:type errors_info: dict
"""
_service = "events"
_action = "add_batch"
_version = "2.13"
_schema = {
"definiti... | AddBatchResponse |
python | getsentry__sentry | src/sentry/api/endpoints/organization_stats_v2.py | {
"start": 6635,
"end": 6816
} | class ____(TypedDict):
start: str
end: str
intervals: list[str]
groups: list[_StatsGroup]
@extend_schema(tags=["Organizations"])
@region_silo_endpoint
| StatsApiResponse |
python | kubernetes-client__python | kubernetes/client/models/authentication_v1_token_request.py | {
"start": 383,
"end": 7746
} | class ____(object):
"""NOTE: This class is auto generated by OpenAPI Generator.
Ref: https://openapi-generator.tech
Do not edit the class manually.
"""
"""
Attributes:
openapi_types (dict): The key is attribute name
and the value is attribute type.
attri... | AuthenticationV1TokenRequest |
python | apache__airflow | providers/microsoft/azure/src/airflow/providers/microsoft/azure/sensors/wasb.py | {
"start": 1319,
"end": 4326
} | class ____(BaseSensorOperator):
"""
Waits for a blob to arrive on Azure Blob Storage.
:param container_name: Name of the container.
:param blob_name: Name of the blob.
:param wasb_conn_id: Reference to the :ref:`wasb connection <howto/connection:wasb>`.
:param check_options: Optional keyword ar... | WasbBlobSensor |
python | doocs__leetcode | solution/0300-0399/0324.Wiggle Sort II/Solution2.py | {
"start": 0,
"end": 552
} | class ____:
def wiggleSort(self, nums: List[int]) -> None:
"""
Do not return anything, modify nums in-place instead.
"""
bucket = [0] * 5001
for v in nums:
bucket[v] += 1
n = len(nums)
j = 5000
for i in range(1, n, 2):
while buc... | Solution |
python | python-openxml__python-docx | src/docx/oxml/simpletypes.py | {
"start": 8327,
"end": 9215
} | class ____(BaseStringType):
@classmethod
def convert_from_xml( # pyright: ignore[reportIncompatibleMethodOverride]
cls, str_value: str
) -> RGBColor | str:
if str_value == "auto":
return ST_HexColorAuto.AUTO
return RGBColor.from_string(str_value)
@classmethod
de... | ST_HexColor |
python | google__pytype | pytype/overlays/overlay.py | {
"start": 418,
"end": 3663
} | class ____(abstract.Module):
"""A layer between pytype and a module's pytd definition.
An overlay pretends to be a module, but provides members that generate extra
typing information that cannot be expressed in a pytd file. For example,
collections.namedtuple is a factory method that generates class definition... | Overlay |
python | PrefectHQ__prefect | src/integrations/prefect-github/prefect_github/schemas/graphql_schema.py | {
"start": 844012,
"end": 845008
} | class ____(sgqlc.types.Type, Node):
"""
See source code for more info.
"""
__schema__ = graphql_schema
__field_names__ = (
"created_at",
"email",
"invitation_type",
"invitee",
"inviter",
"organization",
"role",
)
created_at = sgqlc.typ... | OrganizationInvitation |
python | HypothesisWorks__hypothesis | hypothesis-python/src/hypothesis/extra/_array_helpers.py | {
"start": 1333,
"end": 9855
} | class ____(NamedTuple):
input_shapes: tuple[Shape, ...]
result_shape: Shape
@check_function
def check_argument(condition, fail_message, *f_args, **f_kwargs):
if not condition:
raise InvalidArgument(fail_message.format(*f_args, **f_kwargs))
@check_function
def order_check(name, floor, min_, max_)... | BroadcastableShapes |
python | joerick__pyinstrument | pyinstrument/frame.py | {
"start": 11409,
"end": 12625
} | class ____:
_frames: list[Frame]
_exit_frames: list[Frame] | None
def __init__(self, root: Frame):
self.root = root
self.id = str(uuid.uuid4())
self._frames = []
self._exit_frames = None
self.add_frame(root)
@property
def frames(self) -> Sequence[Frame]:
... | FrameGroup |
python | kamyu104__LeetCode-Solutions | Python/minimum-difficulty-of-a-job-schedule.py | {
"start": 39,
"end": 845
} | class ____(object):
def minDifficulty(self, jobDifficulty, d):
"""
:type jobDifficulty: List[int]
:type d: int
:rtype: int
"""
if len(jobDifficulty) < d:
return -1
dp = [[float("inf")]*len(jobDifficulty) for _ in xrange(d)]
dp[0][0... | Solution |
python | langchain-ai__langchain | libs/standard-tests/langchain_tests/conftest.py | {
"start": 329,
"end": 1673
} | class ____:
"""Custom serializer for VCR cassettes using YAML and gzip.
We're using a custom serializer to avoid the default yaml serializer
used by VCR, which is not designed to be safe for untrusted input.
This step is an extra precaution necessary because the cassette files
are in compressed YA... | CustomSerializer |
python | langchain-ai__langchain | libs/core/langchain_core/outputs/chat_result.py | {
"start": 127,
"end": 1324
} | class ____(BaseModel):
"""Use to represent the result of a chat model call with a single prompt.
This container is used internally by some implementations of chat model,
it will eventually be mapped to a more general `LLMResult` object, and
then projected into an `AIMessage` object.
LangChain user... | ChatResult |
python | conda__conda | conda/gateways/repodata/__init__.py | {
"start": 11234,
"end": 15517
} | class ____(UserDict):
"""Load/save info file that accompanies cached `repodata.json`."""
# Accept old keys for new serialization
_aliased = {
"_mod": LAST_MODIFIED_KEY,
"_etag": ETAG_KEY,
"_cache_control": CACHE_CONTROL_KEY,
"_url": URL_KEY,
}
# Enforce string type ... | RepodataState |
python | pytorch__pytorch | test/fx/test_fx_param_shape_control_flow.py | {
"start": 1567,
"end": 1809
} | class ____(MyModuleBase):
def __init__(self, in_channels):
super().__init__()
self.param = torch.nn.Parameter(torch.randn(in_channels, 3))
def no_relu(self):
return self.param.numel() < 10 * 3
| MyModuleParamNumEl |
python | doocs__leetcode | solution/0000-0099/0036.Valid Sudoku/Solution.py | {
"start": 0,
"end": 656
} | class ____:
def isValidSudoku(self, board: List[List[str]]) -> bool:
row = [[False] * 9 for _ in range(9)]
col = [[False] * 9 for _ in range(9)]
sub = [[False] * 9 for _ in range(9)]
for i in range(9):
for j in range(9):
c = board[i][j]
if ... | Solution |
python | ray-project__ray | release/llm_tests/benchmark/load_test.py | {
"start": 10910,
"end": 13600
} | class ____(BaseProvider):
DEFAULT_MODEL_NAME = "ensemble"
def get_url(self):
assert not self.parsed_options.chat, "Chat is not supported"
assert not self.parsed_options.stream, "Stream is not supported"
assert self.parsed_options.n == 1, "n > 1 is not supported"
return f"/v2/mod... | TritonInferProvider |
python | PyCQA__pylint | pylint/checkers/base/basic_error_checker.py | {
"start": 4963,
"end": 24225
} | class ____(_BasicChecker):
msgs = {
"E0100": (
"__init__ method is a generator",
"init-is-generator",
"Used when the special class method __init__ is turned into a "
"generator by a yield in its body.",
),
"E0101": (
"Explicit retur... | BasicErrorChecker |
python | bokeh__bokeh | src/bokeh/io/notebook.py | {
"start": 4853,
"end": 4987
} | class ____(Protocol):
def __call__(self, resources: Resources, verbose: bool, hide_banner: bool, load_timeout: int) -> None: ...
| Load |
python | scipy__scipy | scipy/_lib/tests/test_array_api.py | {
"start": 899,
"end": 16566
} | class ____:
def test_array_namespace(self):
x, y = np.array([0, 1, 2]), np.array([0, 1, 2])
xp = array_namespace(x, y)
assert 'array_api_compat.numpy' in xp.__name__
def test_asarray(self, xp):
x, y = _asarray([0, 1, 2], xp=xp), _asarray(np.arange(3), xp=xp)
ref = xp.as... | TestArrayAPI |
python | getsentry__sentry | src/sentry/sentry_metrics/client/kafka.py | {
"start": 1776,
"end": 3626
} | class ____(GenericMetricsBackend):
def __init__(self) -> None:
logical_topic = Topic.INGEST_PERFORMANCE_METRICS
topic_defn = get_topic_definition(logical_topic)
self.kafka_topic = ArroyoTopic(topic_defn["real_topic_name"])
self.producer: Producer = get_arroyo_producer(
n... | KafkaMetricsBackend |
python | pydantic__pydantic | tests/test_json_schema.py | {
"start": 204022,
"end": 204072
} | class ____(TypedDict):
name: str
| TypedDictParent |
python | pytorch__pytorch | test/jit/test_dataclasses.py | {
"start": 390,
"end": 584
} | class ____:
x: float
y: float
norm: Optional[torch.Tensor] = None
def __post_init__(self):
self.norm = (torch.tensor(self.x) ** 2 + torch.tensor(self.y) ** 2) ** 0.5
| Point |
python | pyinstaller__pyinstaller | bootloader/waflib/Build.py | {
"start": 27400,
"end": 30013
} | class ____(BuildContext):
'''executes tasks in a step-by-step fashion, for debugging'''
cmd = 'step'
def __init__(self, **kw):
super(StepContext, self).__init__(**kw)
self.files = Options.options.files
def compile(self):
if not self.files:
Logs.warn('Add a pattern f... | StepContext |
python | PyCQA__pylint | tests/functional/a/arguments_renamed.py | {
"start": 715,
"end": 1023
} | class ____(Fruit):
def brew(self, fruit_name: bool): # No warning here
print(f"Brewing a banana named {fruit_name}")
def eat_with_condiment(self, fruit_name: str, condiment: Condiment, error: str): # [arguments-differ]
print(f"Eating a fruit named {fruit_name} with {condiment}")
| Banana |
python | mlflow__mlflow | mlflow/sklearn/utils.py | {
"start": 1101,
"end": 1414
} | class ____(NamedTuple):
name: str
function: Callable[..., Any]
arguments: dict[str, Any]
title: str
# _SklearnMetric represents a metric (e.g, precision_score) that will be computed and
# logged during the autologging routine for a particular model type (eg, classifier, regressor).
| _SklearnArtifact |
python | getsentry__sentry | tests/sentry/api/helpers/test_error_upsampling.py | {
"start": 573,
"end": 3999
} | class ____(TestCase):
def setUp(self) -> None:
self.organization = Organization.objects.create(name="test-org")
self.projects = [
self.create_project(organization=self.organization, name="Project 1"),
self.create_project(organization=self.organization, name="Project 2"),
... | ErrorUpsamplingTest |
python | google__pytype | pytype/constant_folding_test.py | {
"start": 8081,
"end": 13086
} | class ____(TypeBuilderTestBase):
"""Test preservation of concrete values."""
def _process(self, src):
src = fmt(src)
_, defs = self.ctx.vm.run_program(src, "", maximum_depth=4)
return defs
def test_simple_list(self):
defs = self._process("""
a = [1, '2', 3]
b = a[1]
""")
a = ... | PyvalTest |
python | huggingface__transformers | src/transformers/models/depth_pro/modeling_depth_pro.py | {
"start": 35094,
"end": 36051
} | class ____(nn.Module):
def __init__(self, config: DepthProConfig):
super().__init__()
self.config = config
self.fusion_hidden_size = config.fusion_hidden_size
self.fov_encoder = DepthProFovEncoder(config)
self.conv = nn.Conv2d(
self.fusion_hidden_size, self.fusio... | DepthProFovModel |
python | rapidsai__cudf | python/cudf/cudf/options.py | {
"start": 367,
"end": 9483
} | class ____:
default: Any
value: Any
description: str
validator: Callable
_OPTIONS: dict[str, Option] = {}
def _env_get_int(name, default):
try:
return int(os.getenv(name, default))
except (ValueError, TypeError):
return default
def _env_get_bool(name, default):
env = os... | Option |
python | walkccc__LeetCode | solutions/2101. Detonate the Maximum Bombs/2101.py | {
"start": 0,
"end": 619
} | class ____:
def maximumDetonation(self, bombs: list[list[int]]) -> int:
n = len(bombs)
ans = 0
graph = [[] for _ in range(n)]
for i, (xi, yi, ri) in enumerate(bombs):
for j, (xj, yj, rj) in enumerate(bombs):
if i == j:
continue
if ri**2 >= (xi - xj)**2 + (yi - yj)**2:
... | Solution |
python | google__jax | jax/experimental/pallas/ops/tpu/splash_attention/splash_attention_kernel.py | {
"start": 15144,
"end": 15502
} | class ____(enum.IntEnum):
HEAD_DIM_MINOR = enum.auto() # [..., seq_len, head_dim]
SEQ_MINOR = enum.auto() # [..., head_dim, seq_len]
def from_head_minor(vals: tuple[Any, ...], layout: QKVLayout):
if layout == QKVLayout.HEAD_DIM_MINOR:
return vals
return (*vals[:-2], vals[-1], vals[-2])
@dataclasses.da... | QKVLayout |
python | django__django | tests/forms_tests/views.py | {
"start": 360,
"end": 698
} | class ____(UpdateView):
model = Article
success_url = "/"
form_class = ArticleForm
def form_view(request):
class Form(forms.Form):
number = forms.FloatField()
template = Template("<html>{{ form }}</html>")
context = Context({"form": Form()})
return HttpResponse(template.render(con... | ArticleFormView |
python | kamyu104__LeetCode-Solutions | Python/k-diff-pairs-in-an-array.py | {
"start": 29,
"end": 458
} | class ____(object):
def findPairs(self, nums, k):
"""
:type nums: List[int]
:type k: int
:rtype: int
"""
if k < 0: return 0
result, lookup = set(), set()
for num in nums:
if num-k in lookup:
result.add(num-k)
if ... | Solution |
python | django__django | tests/csrf_tests/tests.py | {
"start": 41714,
"end": 52862
} | class ____(CsrfViewMiddlewareTestMixin, SimpleTestCase):
def _set_csrf_cookie(self, req, cookie):
req.COOKIES[settings.CSRF_COOKIE_NAME] = cookie
def _read_csrf_cookie(self, req, resp):
"""
Return the CSRF cookie as a string, or False if no cookie is present.
"""
if sett... | CsrfViewMiddlewareTests |
python | PrefectHQ__prefect | src/integrations/prefect-redis/prefect_redis/ordering.py | {
"start": 1078,
"end": 1371
} | class ____(Exception):
"""Indicates that an event is currently being processed and should not be processed
until it is finished. This may happen due to Redis Streams redelivering a message."""
def __init__(self, event: ReceivedEvent):
self.event = event
| EventBeingProcessed |
python | getsentry__sentry | src/sentry/issues/endpoints/bases/group_search_view.py | {
"start": 316,
"end": 1430
} | class ____(OrganizationPermission):
scope_map = {
"GET": ["org:read", "org:write", "org:admin"],
"POST": ["org:read", "org:write", "org:admin"],
"PUT": ["org:read", "org:write", "org:admin"],
"DELETE": ["org:read", "org:write", "org:admin"],
}
def has_object_permission(self,... | GroupSearchViewPermission |
python | PrefectHQ__prefect | src/integrations/prefect-azure/prefect_azure/blob_storage.py | {
"start": 6781,
"end": 28055
} | class ____(
ObjectStorageBlock, WritableFileSystem, WritableDeploymentStorage
):
"""
Represents a container in Azure Blob Storage.
This class provides methods for downloading and uploading files and folders
to and from the Azure Blob Storage container.
Attributes:
container_name: The n... | AzureBlobStorageContainer |
python | Pylons__pyramid | tests/test_config/test_assets.py | {
"start": 33976,
"end": 34658
} | class ____(unittest.TestCase):
def _getTargetClass(self):
from pyramid.config.assets import DirectoryOverride
return DirectoryOverride
def _makeOne(self, path, source):
klass = self._getTargetClass()
return klass(path, source)
def test_it_match(self):
source = Dumm... | TestDirectoryOverride |
python | charliermarsh__ruff | crates/ruff_linter/resources/test/fixtures/ruff/RUF009_attrs.py | {
"start": 355,
"end": 1135
} | class ____:
hidden_mutable_default: list[int] = default_function()
class_variable: typing.ClassVar[list[int]] = default_function()
another_class_var: ClassVar[list[int]] = default_function()
fine_path: Path = Path()
fine_date: datetime.date = datetime.date(2042, 1, 1)
fine_timedelta: datetime.t... | A |
python | readthedocs__readthedocs.org | readthedocs/core/forms.py | {
"start": 2376,
"end": 4983
} | class ____(forms.Form):
"""
Form class that allows raising form errors before form submission.
The base ``Form`` does not support validation errors while the form is
unbound (does not have ``data`` defined). There are cases in our UI where we
want to show errors and/or disabled the form before the ... | PrevalidatedForm |
python | pytorch__pytorch | torch/distributed/algorithms/_optimizer_overlap/optimizer_overlap.py | {
"start": 1220,
"end": 2130
} | class ____(ABC):
def __init__(self, optim_cls: type) -> None:
"""
Initialize the OverlappedOptimizer.
Overlappedoptimizer is a base class that child classes can implement to
specify how different optimizers will register themselves with DDP.
"""
self.optim_cls = opti... | OverlappedOptimizer |
python | wandb__wandb | wandb/vendor/pygments/lexers/matlab.py | {
"start": 586,
"end": 5816
} | class ____(RegexLexer):
"""
For Matlab source code.
.. versionadded:: 0.10
"""
name = 'Matlab'
aliases = ['matlab']
filenames = ['*.m']
mimetypes = ['text/matlab']
#
# These lists are generated automatically.
# Run the following in bash shell:
#
# for f in elfun spe... | MatlabLexer |
python | doocs__leetcode | solution/3300-3399/3365.Rearrange K Substrings to Form Target String/Solution.py | {
"start": 0,
"end": 299
} | class ____:
def isPossibleToRearrange(self, s: str, t: str, k: int) -> bool:
cnt = Counter()
n = len(s)
m = n // k
for i in range(0, n, m):
cnt[s[i : i + m]] += 1
cnt[t[i : i + m]] -= 1
return all(v == 0 for v in cnt.values())
| Solution |
python | tensorflow__tensorflow | tensorflow/python/data/kernel_tests/len_test.py | {
"start": 982,
"end": 2117
} | class ____(test_base.DatasetTestBase, parameterized.TestCase):
@combinations.generate(test_base.eager_only_combinations())
def testKnown(self):
num_elements = 10
ds = dataset_ops.Dataset.range(num_elements)
self.assertLen(ds, 10)
@combinations.generate(test_base.eager_only_combinations())
def test... | LenTest |
python | walkccc__LeetCode | solutions/2031. Count Subarrays With More Ones Than Zeros/2031.py | {
"start": 414,
"end": 755
} | class ____:
def subarraysWithMoreZerosThanOnes(self, nums: list[int]) -> int:
MOD = 1_000_000_007
ans = 0
prefix = 0
tree = FenwichTree(len(nums))
tree.add(0, 1)
for num in nums:
prefix += -1 if num == 0 else 1
ans += tree.get(prefix - 1)
ans %= MOD
tree.add(prefix, 1)... | Solution |
python | joke2k__faker | faker/providers/internet/ko_KR/__init__.py | {
"start": 46,
"end": 344
} | class ____(InternetProvider):
free_email_domains = (
"gmail.com",
"daum.net",
"hotmail.com",
"hanmail.net",
"naver.com",
"nate.com",
"live.com",
"dreamwiz.com",
)
tlds = ("com", "com", "com", "kr", "kr", "net", "org")
| Provider |
python | dagster-io__dagster | python_modules/libraries/dagster-tableau/dagster_tableau/components/translation.py | {
"start": 1068,
"end": 3929
} | class ____(AssetSpecUpdateKwargs, Resolvable):
for_sheet: Optional[ResolvedTargetedTableauTranslationFn] = None
for_dashboard: Optional[ResolvedTargetedTableauTranslationFn] = None
for_data_source: Optional[ResolvedTargetedTableauTranslationFn] = None
def resolve_multilayer_translation(context: Resolution... | TableauAssetArgs |
python | tensorflow__tensorflow | tensorflow/python/kernel_tests/sparse_ops/sparse_ops_test.py | {
"start": 4406,
"end": 9063
} | class ____(test_util.TensorFlowTestCase):
def _SparseTensorValue_3x50(self, indices_dtype, values_dtype):
# NOTE: This input is intentionally not sorted to validate the
# already_sorted flag below.
ind = np.array([[0, 0], [1, 0], [1, 2], [2, 0], [2, 1], [1, 1]])
# NB: these are not sorted
indices... | SparseMergeTest |
python | agronholm__apscheduler | src/apscheduler/triggers/date.py | {
"start": 273,
"end": 1246
} | class ____(Trigger):
"""
Triggers once on the given date/time.
:param run_time: the date/time to run the job at
"""
run_time: datetime = attrs.field(
converter=as_aware_datetime, validator=instance_of(datetime)
)
_completed: bool = attrs.field(init=False, eq=False, default=False)
... | DateTrigger |
python | getsentry__sentry | src/sentry/dashboards/endpoints/organization_dashboards.py | {
"start": 2123,
"end": 2249
} | class ____(IntEnum):
FRONTEND_SESSION_HEALTH = 1
BACKEND_QUERIES = 2
BACKEND_QUERIES_SUMMARY = 3
| PrebuiltDashboardId |
python | ray-project__ray | python/ray/tune/search/variant_generator.py | {
"start": 16739,
"end": 17305
} | class ____(dict):
def __init__(self, *args, **kwds):
super(_UnresolvedAccessGuard, self).__init__(*args, **kwds)
self.__dict__ = self
def __getattribute__(self, item):
value = dict.__getattribute__(self, item)
if not _is_resolved(value):
raise RecursiveDependencyErro... | _UnresolvedAccessGuard |
python | PrefectHQ__prefect | src/integrations/prefect-databricks/prefect_databricks/models/jobs.py | {
"start": 138940,
"end": 139298
} | class ____(BaseModel):
"""
See source code for the fields' description.
"""
model_config = ConfigDict(extra="allow", frozen=True)
widgets: Optional[SqlDashboardWidgetOutput] = Field(
None,
description=(
"Widgets executed in the run. Only SQL query based widgets are list... | SqlDashboardOutput |
python | pytorch__pytorch | torch/_inductor/autoheuristic/artifacts/_MMRankingA100.py | {
"start": 468,
"end": 28044
} | class ____(LearnedHeuristicDecision):
def __init__(self) -> None:
self.choices: list[Choice] = []
self.fill_choices()
def check_precondition(self, metadata: AHMetadata, context: AHContext,) -> bool:
return (
metadata.name == self.get_name()
and metadata.shared_m... | MMRankingA100 |
python | pypa__setuptools | setuptools/_vendor/more_itertools/recipes.py | {
"start": 7740,
"end": 28591
} | class ____(ValueError):
def __init__(self, details=None):
msg = 'Iterables have different lengths'
if details is not None:
msg += (': index 0 has length {}; index {} has length {}').format(
*details
)
super().__init__(msg)
def _zip_equal_generator(i... | UnequalIterablesError |
python | ray-project__ray | python/ray/data/_internal/metadata_exporter.py | {
"start": 1527,
"end": 2997
} | class ____:
"""Represents a data processing operator in the DAG.
Attributes:
name: The name of the operator.
id: The unique identifier of the operator within the DAG structure, typically
incorporating a position or index (e.g., "ReadParquet_0"). This is used for
referenc... | Operator |
python | google__jax | jax/experimental/array_serialization/pytree_serialization_utils.py | {
"start": 1652,
"end": 2798
} | class ____(Future[Any]):
"""A wrapper around a Future that makes it look like an async function."""
def __init__(self, future: Future[Any]):
self._future, self.pytree = future, None
def done(self):
return self._future.done()
def result(self, *args, **kw):
return self._future.result(*args, **kw)
... | PyTreeFuture |
python | crytic__slither | slither/detectors/reentrancy/reentrancy_eth.py | {
"start": 562,
"end": 8599
} | class ____(Reentrancy):
ARGUMENT = "reentrancy-eth"
HELP = "Reentrancy vulnerabilities (theft of ethers)"
IMPACT = DetectorClassification.HIGH
CONFIDENCE = DetectorClassification.MEDIUM
WIKI = (
"https://github.com/crytic/slither/wiki/Detector-Documentation#reentrancy-vulnerabilities"
)... | ReentrancyEth |
python | readthedocs__readthedocs.org | readthedocs/projects/views/public.py | {
"start": 13672,
"end": 15678
} | class ____(SettingsOverrideObject):
_default_class = ProjectDownloadMediaBase
def project_versions(request, project_slug):
"""
Project version list view.
Shows the available versions and lets the user choose which ones to build.
"""
max_inactive_versions = 100
project = get_object_or_404... | ProjectDownloadMedia |
python | Lightning-AI__lightning | examples/fabric/build_your_own_trainer/run.py | {
"start": 143,
"end": 2790
} | class ____(L.LightningModule):
def __init__(self) -> None:
super().__init__()
self.model = torch.nn.Sequential(
torch.nn.Conv2d(
in_channels=1,
out_channels=16,
kernel_size=5,
stride=1,
padding=2,
... | MNISTModule |
python | ansible__ansible | lib/ansible/plugins/doc_fragments/url.py | {
"start": 212,
"end": 3341
} | class ____(object):
# Standard files documentation fragment
DOCUMENTATION = r"""
options:
url:
description:
- HTTP, HTTPS, or FTP URL in the form (http|https|ftp)://[user[:pass]]@host.domain[:port]/path
type: str
force:
description:
- If V(yes) do not get a cached copy.
type: bo... | ModuleDocFragment |
python | pola-rs__polars | py-polars/src/polars/interchange/dataframe.py | {
"start": 448,
"end": 7661
} | class ____(InterchangeDataFrame):
"""
A dataframe object backed by a Polars DataFrame.
Parameters
----------
df
The Polars DataFrame backing the dataframe object.
allow_copy
Allow data to be copied during operations on this column. If set to `False`,
a RuntimeError is ra... | PolarsDataFrame |
python | getsentry__sentry | src/sentry/integrations/slack/message_builder/notifications/daily_summary.py | {
"start": 908,
"end": 8765
} | class ____(SlackNotificationsMessageBuilder):
def __init__(
self,
notification: BaseNotification,
context: Mapping[str, Any],
recipient: Actor,
) -> None:
super().__init__(notification, context, recipient)
self.notification = notification
self.context = co... | SlackDailySummaryMessageBuilder |
python | viewflow__viewflow | tests/json/test_json__basics.py | {
"start": 2747,
"end": 2866
} | class ____(Person):
birthdate = jsonstore.DateField()
business_phone = jsonstore.CharField(max_length=250)
| Client |
python | scipy__scipy | scipy/io/matlab/_mio5_params.py | {
"start": 7448,
"end": 7781
} | class ____(np.ndarray):
"""Subclass for a MATLAB function.
This is a simple subclass of :class:`numpy.ndarray` meant to be used
by :func:`scipy.io.loadmat` and should not be directly instantiated.
"""
def __new__(cls, input_array):
obj = np.asarray(input_array).view(cls)
return obj... | MatlabFunction |
python | tensorflow__tensorflow | tensorflow/python/kernel_tests/nn_ops/rnn_test.py | {
"start": 2722,
"end": 3287
} | class ____(rnn_cell_impl.RNNCell):
"""RNN Cell generating (output, new_state) = (input + 1, state + 1)."""
@property
def output_size(self):
return tensor_shape.TensorShape(1), tensor_shape.TensorShape((2))
@property
def state_size(self):
return tensor_shape.TensorShape([])
def zero_state(self, b... | UnbalancedOutputRNNCell |
python | scipy__scipy | scipy/linalg/tests/test_special_matrices.py | {
"start": 22181,
"end": 24843
} | class ____:
"""
Test convolution_matrix vs. numpy.convolve for various parameters.
"""
def create_vector(self, n, cpx):
"""Make a complex or real test vector of length n."""
x = np.linspace(-2.5, 2.2, n)
if cpx:
x = x + 1j*np.linspace(-1.5, 3.1, n)
return x
... | TestConvolutionMatrix |
python | tensorflow__tensorflow | tensorflow/python/debug/lib/debug_data.py | {
"start": 8498,
"end": 14132
} | class ____:
"""A single tensor dumped by TensorFlow Debugger (tfdbg).
Contains metadata about the dumped tensor, including `timestamp`,
`node_name`, `output_slot`, `debug_op`, and path to the dump file
(`file_path`).
This type does not hold the generally space-expensive tensor value (numpy
array). Instead... | DebugTensorDatum |
python | getsentry__sentry | tests/sentry/api/test_base.py | {
"start": 1949,
"end": 2656
} | class ____(Endpoint):
permission_classes = ()
# `as_view` requires that any init args passed to it match attributes already on the
# class, so even though they're really meant to be instance attributes, we have to
# add them here as class attributes first
error: Exception = NotImplementedError()
... | DummyErroringEndpoint |
python | astropy__astropy | astropy/table/__init__.py | {
"start": 872,
"end": 3410
} | class ____(_config.ConfigNamespace):
"""
Configuration parameters for `astropy.table`.
"""
auto_colname = _config.ConfigItem(
"col{0}",
"The template that determines the name of a column if it cannot be "
"determined. Uses new-style (format method) string formatting.",
a... | Conf |
python | tensorflow__tensorflow | tensorflow/python/data/kernel_tests/sample_from_datasets_test.py | {
"start": 1771,
"end": 12599
} | class ____(test_base.DatasetTestBase, parameterized.TestCase):
def _normalize(self, vec):
return vec / vec.sum()
def _chi2(self, expected, actual):
actual = np.asarray(actual)
expected = np.asarray(expected)
diff = actual - expected
chi2 = np.sum(diff * diff / expected, axis=0)
return chi2... | SampleFromDatasetsTest |
python | google__pytype | pytype/directors/parser.py | {
"start": 847,
"end": 948
} | class ____(LineRange):
"""Tag to identify function calls."""
@dataclasses.dataclass(frozen=True)
| Call |
python | huggingface__transformers | src/transformers/models/vision_text_dual_encoder/modeling_vision_text_dual_encoder.py | {
"start": 1726,
"end": 17570
} | class ____(PreTrainedModel):
config: VisionTextDualEncoderConfig
base_model_prefix = "vision_text_dual_encoder"
input_modalities = ("image", "text")
_supports_flash_attn = True
_supports_sdpa = True
def __init__(
self,
config: Optional[VisionTextDualEncoderConfig] = None,
... | VisionTextDualEncoderModel |
python | doocs__leetcode | solution/0500-0599/0501.Find Mode in Binary Search Tree/Solution.py | {
"start": 192,
"end": 756
} | class ____:
def findMode(self, root: TreeNode) -> List[int]:
def dfs(root):
if root is None:
return
nonlocal mx, prev, ans, cnt
dfs(root.left)
cnt = cnt + 1 if prev == root.val else 1
if cnt > mx:
ans = [root.val]
... | Solution |
python | pytorch__pytorch | torch/_inductor/ir.py | {
"start": 296173,
"end": 297204
} | class ____(FallbackKernel):
"""
Custom kernel for memory checking that generates direct function calls
TODO - the custom op was erroring with str inputs. should be able to custom op directly.
"""
def codegen(self, wrapper: PythonWrapperCodegen) -> None:
"""Override codegen to write direct ... | MemoryCheckKernel |
python | sphinx-doc__sphinx | sphinx/addnodes.py | {
"start": 11561,
"end": 11704
} | class ____(desc_sig_element, _sig_element=True):
"""Node for a string literal in a signature."""
classes = ['s']
| desc_sig_literal_string |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-github/source_github/github_schema.py | {
"start": 393440,
"end": 394430
} | class ____(sgqlc.types.Interface):
"""Represents a Git object."""
__schema__ = github_schema
__field_names__ = ("abbreviated_oid", "commit_resource_path", "commit_url", "id", "oid", "repository")
abbreviated_oid = sgqlc.types.Field(sgqlc.types.non_null(String), graphql_name="abbreviatedOid")
"""An ... | GitObject |
python | pytorch__pytorch | torch/distributions/constraints.py | {
"start": 18539,
"end": 19758
} | class ____(Constraint):
"""
Constraint functor that applies a sequence of constraints
`cseq` at the submatrices at dimension `dim`,
each of size `lengths[dim]`, in a way compatible with :func:`torch.cat`.
"""
def __init__(self, cseq, dim=0, lengths=None):
assert all(isinstance(c, Constr... | _Cat |
python | pydata__xarray | xarray/tests/test_indexing.py | {
"start": 35968,
"end": 36058
} | class ____:
def __array_namespace__(self, version=None):
pass
| ArrayWithNamespace |
python | ray-project__ray | python/ray/train/tests/test_iter_torch_batches_gpu.py | {
"start": 1165,
"end": 1559
} | class ____(ArrowBatchCollateFn):
"""Collate function that returns only the id column as a tensor."""
def __call__(self, batch: pa.Table) -> torch.Tensor:
"""Return only the id column as a tensor."""
assert isinstance(batch, pa.Table)
tensor_dict = arrow_batch_to_tensors(batch, combine_c... | SingleTensorArrowBatchCollateFn |
python | GoogleCloudPlatform__python-docs-samples | appengine/standard/ndb/projection_queries/snippets.py | {
"start": 1652,
"end": 1871
} | class ____(ndb.Model):
A = ndb.IntegerProperty(repeated=True)
B = ndb.StringProperty(repeated=True)
def declare_multiple_valued_property():
entity = Foo(A=[1, 1, 2, 3], B=["x", "y", "x"])
return entity
| Foo |
python | great-expectations__great_expectations | tests/scripts/test_public_api_report.py | {
"start": 12835,
"end": 20959
} | class ____:
def example_method():
pass
@staticmethod
def example_public_staticmethod():
pass
@classmethod
def example_public_classmethod(cls):
pass
@some_other_decorator
@another_decorator
def example_multiple_decorator_public_method(self):
pass
"""
... | ExampleClass |
python | getsentry__sentry | tests/sentry/flags/endpoints/test_logs.py | {
"start": 13192,
"end": 14964
} | class ____(APITestCase):
endpoint = "sentry-api-0-organization-flag-log"
def setUp(self) -> None:
super().setUp()
self.flag = FlagAuditLogModel(
action=0,
created_at=datetime.now(timezone.utc),
created_by="a@b.com",
created_by_type=0,
... | OrganizationFlagLogDetailsEndpointTestCase |
python | dask__distributed | distributed/utils_test.py | {
"start": 55353,
"end": 55815
} | class ____(WorkerPlugin):
"""WorkPlugin to populate TaskState.metadata"""
def setup(self, worker):
self.tasks = worker.state.tasks
def transition(self, key, start, finish, **kwargs):
ts = self.tasks[key]
if start == "ready" and finish == "executing":
ts.metadata["start... | TaskStateMetadataPlugin |
python | pytorch__pytorch | test/distributed/_composable/test_replicate_training.py | {
"start": 9658,
"end": 24823
} | class ____(FSDPTest):
@property
def world_size(self) -> int:
return min(8, torch.get_device_module(device_type).device_count())
@skip_if_lt_x_gpu(2)
def test_train_parity_single_group(self):
"""
Tests train parity with DDP for a single FSDP group when sharding
parameters... | TestReplicate1DTrainingCore |
python | dagster-io__dagster | python_modules/libraries/dagster-airlift/dagster_airlift/in_airflow/proxied_state.py | {
"start": 122,
"end": 991
} | class ____(NamedTuple):
"""A class to store the proxied state of a task.
Args:
task_id (str): The id of the task.
proxied (bool): A boolean indicating whether the task is proxied.
"""
task_id: str
proxied: bool
@staticmethod
def from_dict(task_dict: dict[str, Any]) -> "Tas... | TaskProxiedState |
python | Textualize__textual | src/textual/_parser.py | {
"start": 323,
"end": 387
} | class ____(ParseError):
"""Read has timed out."""
| ParseTimeout |
python | pytorch__pytorch | test/dynamo/test_higher_order_ops.py | {
"start": 14149,
"end": 14798
} | class ____(torch.nn.Module):
def forward(self, L_x_: "f32[3, 1]"):
l_x_ = L_x_
wrap_body_0 = self.wrap_body_0
wrap = torch.ops.higher_order.wrap(wrap_body_0, l_x_); wrap_body_0 = l_x_ = None
getitem: "f32[3]" = wrap[0]; wrap = None
return (getitem,)
class wrap_body_0(... | GraphModule |
python | mwaskom__seaborn | tests/test_distributions.py | {
"start": 1776,
"end": 4278
} | class ____:
rs = np.random.RandomState(0)
x = rs.randn(100)
def test_hist_bins(self):
fd_edges = np.histogram_bin_edges(self.x, "fd")
with pytest.warns(UserWarning):
ax = distplot(self.x)
for edge, bar in zip(fd_edges, ax.patches):
assert pytest.approx(edge... | TestDistPlot |
python | tensorflow__tensorflow | tensorflow/python/kernel_tests/v1_compat_tests/stack_op_test.py | {
"start": 1065,
"end": 3249
} | class ____(test.TestCase):
@test_util.run_deprecated_v1
# Tests symbolic tensor semantics
def testVariable(self):
with self.session():
v = variables.Variable(17)
result = ops.convert_to_tensor([[0, 0, 0], [0, v, 0], [0, 0, 0]])
self.evaluate(v.initializer)
self.assertAllEqual([[0, 0, ... | AutomaticStackingTest |
python | django-haystack__django-haystack | test_haystack/elasticsearch5_tests/test_backend.py | {
"start": 2950,
"end": 3356
} | class ____(indexes.SearchIndex, indexes.Indexable):
text = indexes.CharField(document=True)
name = indexes.CharField(model_attr="author")
pub_date = indexes.DateTimeField(model_attr="pub_date")
def get_model(self):
return AnotherMockModel
def prepare_text(self, obj):
return "You mi... | Elasticsearch5AnotherMockModelSearchIndex |
python | run-llama__llama_index | llama-index-integrations/readers/llama-index-readers-github/llama_index/readers/github/collaborators/base.py | {
"start": 1261,
"end": 5946
} | class ____(BaseReader):
"""
GitHub repository collaborators reader.
Retrieves the list of collaborators of a GitHub repository and returns a list of documents.
Examples:
>>> reader = GitHubRepositoryCollaboratorsReader("owner", "repo")
>>> colabs = reader.load_data()
>>> print(... | GitHubRepositoryCollaboratorsReader |
python | google__pytype | pytype/rewrite/abstract/base.py | {
"start": 4029,
"end": 4740
} | class ____(BaseValue):
"""Union of values."""
def __init__(self, ctx: ContextType, options: Sequence[BaseValue]):
super().__init__(ctx)
assert len(options) > 1
flattened_options = []
for o in options:
if isinstance(o, Union):
flattened_options.extend(o.options)
else:
fla... | Union |
python | Netflix__metaflow | metaflow/plugins/catch_decorator.py | {
"start": 196,
"end": 629
} | class ____(MetaflowException):
headline = "Task execution failed but @catch handled it"
def __init__(self, retry_count):
msg = (
"Task execution kept failing over %d attempts. "
"Your code did not raise an exception. Something "
"in the execution environment caused t... | FailureHandledByCatch |
python | jmcnamara__XlsxWriter | xlsxwriter/test/comparison/test_table04.py | {
"start": 315,
"end": 1144
} | class ____(ExcelComparisonTest):
"""
Test file created by XlsxWriter against a file created by Excel.
"""
def setUp(self):
self.set_filename("table04.xlsx")
def test_create_file(self):
"""Test the creation of a simple XlsxWriter file with tables."""
workbook = Workbook(se... | TestCompareXLSXFiles |
python | pytorch__pytorch | torch/_inductor/codegen/cpp.py | {
"start": 224527,
"end": 225765
} | class ____:
def __init__(self, code):
self.code = code
self.in_parallel = False
self.num_threads = None
self.stack = contextlib.ExitStack()
def parallel(self, threads):
if self.in_parallel and threads != self.num_threads:
# wrong number of threads
... | WorkSharing |
python | run-llama__llama_index | llama-index-integrations/readers/llama-index-readers-athena/llama_index/readers/athena/base.py | {
"start": 179,
"end": 2692
} | class ____(BaseReader):
"""
Athena reader.
Follow AWS best practices for security.
AWS discourages hardcoding credentials in code.
We recommend that you use IAM roles instead of IAM user credentials.
If you must use credentials, do not embed them in your code.
Instead, store them in environ... | AthenaReader |
python | microsoft__pyright | packages/pyright-internal/src/tests/samples/isinstance3.py | {
"start": 477,
"end": 926
} | class ____(Generic[_T]):
pass
a = A()
if isinstance(a, A):
pass
# This should generate an error because generic types with
# subscripts are not allowed.
if isinstance(a, A[str]):
pass
# This should generate an error in Python 3.9 and older because
# unions are not allowed, but this error isn't currentl... | A |
python | sympy__sympy | sympy/series/limits.py | {
"start": 4365,
"end": 13227
} | class ____(Expr):
"""Represents an unevaluated limit.
Examples
========
>>> from sympy import Limit, sin
>>> from sympy.abc import x
>>> Limit(sin(x)/x, x, 0)
Limit(sin(x)/x, x, 0, dir='+')
>>> Limit(1/x, x, 0, dir="-")
Limit(1/x, x, 0, dir='-')
"""
def __new__(cls, e, z,... | Limit |
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