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 | ansible__ansible | test/units/_internal/_errors/test_error_utils.py | {
"start": 722,
"end": 2032
} | class ____(Exception, _error_utils.ContributesToTaskResult):
@property
def result_contribution(self) -> c.Mapping[str, object]:
return dict(msg="contributed msg")
@pytest.mark.parametrize("exceptions,expected", (
(
(Exception("e0"), _TestContributesError("e1"), ValueError("e2")),
d... | _TestContributesMsg |
python | kubernetes-client__python | kubernetes/client/models/v1_object_meta.py | {
"start": 383,
"end": 28280
} | 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... | V1ObjectMeta |
python | numba__numba | numba/core/types/misc.py | {
"start": 12881,
"end": 13336
} | class ____(Type):
"""
Internal only.
Represents the data of the instance. The representation of
ClassInstanceType contains a pointer to a ClassDataType which represents
a C structure that contains all the data fields of the class instance.
"""
def __init__(self, classtyp):
self.cla... | ClassDataType |
python | crytic__slither | slither/detectors/functions/suicidal.py | {
"start": 432,
"end": 2582
} | class ____(AbstractDetector):
"""
Unprotected function detector
"""
ARGUMENT = "suicidal"
HELP = "Functions allowing anyone to destruct the contract"
IMPACT = DetectorClassification.HIGH
CONFIDENCE = DetectorClassification.HIGH
WIKI = "https://github.com/crytic/slither/wiki/Detector-Do... | Suicidal |
python | PrefectHQ__prefect | tests/runtime/test_flow_run.py | {
"start": 5754,
"end": 6812
} | class ____:
async def test_run_count_is_attribute(self):
assert "run_count" in dir(flow_run)
async def test_run_count_is_zero_when_not_set(self):
assert flow_run.run_count == 0
async def test_run_count_returns_run_count_when_present_dynamically(self):
assert flow_run.run_count == 0... | TestRunCount |
python | pytorch__pytorch | benchmarks/operator_benchmark/pt/gelu_test.py | {
"start": 236,
"end": 603
} | class ____(op_bench.TorchBenchmarkBase):
def init(self, N, C, H, W, device):
self.inputs = {"input": torch.rand(N, C, H, W, device=device)}
def forward(self, input):
return torch.nn.functional.gelu(input)
op_bench.generate_pt_test(gelu_configs_long, GeluBenchmark)
if __name__ == "__main__":... | GeluBenchmark |
python | dagster-io__dagster | python_modules/dagster-graphql/dagster_graphql_tests/graphql/test_reload_repository_location.py | {
"start": 15955,
"end": 17374
} | class ____(ManagedTestSuite):
def test_managed_grpc_reload_location(self, graphql_context):
result = execute_dagster_graphql(
graphql_context,
RELOAD_REPOSITORY_LOCATION_QUERY,
{"repositoryLocationName": main_repo_location_name()},
)
assert result
... | TestReloadRepositoriesManagedGrpc |
python | ray-project__ray | python/ray/serve/_private/deployment_scheduler.py | {
"start": 25036,
"end": 32015
} | class ____(DeploymentScheduler):
def schedule(
self,
upscales: Dict[DeploymentID, List[ReplicaSchedulingRequest]],
downscales: Dict[DeploymentID, DeploymentDownscaleRequest],
) -> Dict[DeploymentID, Set[ReplicaID]]:
"""Called for each update cycle to do batch scheduling.
... | DefaultDeploymentScheduler |
python | spyder-ide__spyder | spyder/plugins/variableexplorer/widgets/arrayeditor.py | {
"start": 1864,
"end": 2061
} | class ____:
Close = 'close'
Copy = 'copy_action'
Edit = 'edit_action'
Preferences = 'preferences_action'
Refresh = 'refresh_action'
Resize = 'resize_action'
| ArrayEditorActions |
python | altair-viz__altair | tools/schemapi/utils.py | {
"start": 11628,
"end": 32248
} | class ____:
"""A wrapper for inspecting a JSON schema."""
_remap_title: ClassVar[dict[str, Sequence[str]]] = {}
def __init__(
self, schema: Mapping[str, Any], rootschema: Mapping[str, Any] | None = None
) -> None:
if not rootschema:
rootschema = schema
self.raw_sche... | SchemaInfo |
python | Netflix__metaflow | metaflow/plugins/argo/argo_workflows.py | {
"start": 199860,
"end": 205171
} | class ____(object):
# https://argoproj.github.io/argo-workflows/fields/#template
def __init__(self, name):
tree = lambda: defaultdict(tree)
self.payload = tree()
self.payload["name"] = name
def active_deadline_seconds(self, active_deadline_seconds):
# Overall duration of a ... | Template |
python | arrow-py__arrow | arrow/locales.py | {
"start": 128039,
"end": 129403
} | class ____(Locale):
names = ["sq", "sq-al"]
past = "{0} më parë"
future = "në {0}"
and_word = "dhe"
timeframes = {
"now": "tani",
"second": "sekondë",
"seconds": "{0} sekonda",
"minute": "minutë",
"minutes": "{0} minuta",
"hour": "orë",
"hour... | AlbanianLocale |
python | pytorch__pytorch | torch/_export/verifier.py | {
"start": 3760,
"end": 12091
} | class ____(metaclass=_VerifierMeta):
dialect = "ATEN"
def allowed_builtin_ops(self) -> list:
return [
operator.getitem,
operator.add,
operator.mul,
operator.sub,
operator.truediv,
operator.ge,
operator.le,
o... | Verifier |
python | getsentry__sentry | tests/sentry/snuba/test_discover_query.py | {
"start": 116651,
"end": 128654
} | class ____(SnubaTestCase, TestCase):
def setUp(self) -> None:
super().setUp()
self.day_ago = before_now(days=1).replace(hour=10, minute=0, second=0, microsecond=0)
self.now = before_now()
event_data = load_data("transaction")
# Half of duration so we don't get weird rounding... | ArithmeticTest |
python | kamyu104__LeetCode-Solutions | Python/android-unlock-patterns.py | {
"start": 3682,
"end": 5137
} | class ____(object):
def numberOfPatterns(self, m, n):
"""
:type m: int
:type n: int
:rtype: int
"""
def merge(used, i):
return used | (1 << i)
def contain(used, i):
return bool(used & (1 << i))
def convert(i, j):
r... | Solution_TLE |
python | dagster-io__dagster | helm/dagster/schema/schema/charts/dagster/subschema/run_launcher.py | {
"start": 3144,
"end": 3627
} | class ____(BaseModel):
type: RunLauncherType
config: RunLauncherConfig
model_config = ConfigDict(
extra="forbid",
json_schema_extra={
"allOf": create_json_schema_conditionals(
{
RunLauncherType.CELERY: "celeryK8sRunLauncher",
... | RunLauncher |
python | huggingface__transformers | tests/trainer/test_trainer.py | {
"start": 10469,
"end": 11197
} | class ____:
def __init__(self, thresh=0.25):
self.thresh = thresh
self.batch_acc = []
def __call__(self, eval_pred, compute_result):
predictions, labels = eval_pred
if isinstance(predictions, tuple):
predictions = predictions[0]
if isinstance(labels, tuple):
... | AlmostAccuracyBatched |
python | great-expectations__great_expectations | tests/integration/data_sources_and_expectations/expectations/test_expect_column_values_to_not_match_like_pattern_list.py | {
"start": 863,
"end": 4065
} | class ____:
@pytest.mark.parametrize(
"expectation",
[
pytest.param(
gxe.ExpectColumnValuesToNotMatchLikePatternList(
column=COL_NAME, like_pattern_list=["bc"]
),
id="one_pattern",
),
pytest.param... | TestNormalSql |
python | getsentry__sentry | src/sentry/deletions/tasks/hybrid_cloud.py | {
"start": 1586,
"end": 16417
} | class ____:
low: int
up: int
has_more: bool
transaction_id: str
def _get_redis_client() -> RedisCluster[str] | StrictRedis[str]:
return redis.redis_clusters.get(settings.SENTRY_HYBRIDCLOUD_DELETIONS_REDIS_CLUSTER)
def get_watermark_key(prefix: str, field: HybridCloudForeignKey[Any, Any]) -> str:... | WatermarkBatch |
python | sqlalchemy__sqlalchemy | test/dialect/sqlite/test_reflection.py | {
"start": 1050,
"end": 1814
} | class ____(fixtures.TestBase):
__only_on__ = "sqlite"
__backend__ = True
def setup_test(self):
exec_sql(testing.db, "CREATE TABLE a (id INTEGER PRIMARY KEY)")
# this syntax actually works on other DBs perhaps we'd want to add
# tests to test_reflection
exec_sql(
... | ReflectHeadlessFKsTest |
python | charliermarsh__ruff | crates/ruff_linter/resources/test/fixtures/pyflakes/F722.py | {
"start": 0,
"end": 409
} | class ____:
pass
def f() -> "A":
pass
def g() -> "///":
pass
X: """List[int]"""'☃' = []
# Type annotations with triple quotes can contain newlines and indentation
# https://github.com/python/typing-council/issues/9
y: """
int |
str
"""
z: """(
int |
str
)
"""
invalid1: """
int |
s... | A |
python | altair-viz__altair | altair/expr/core.py | {
"start": 7694,
"end": 7948
} | class ____(Expression):
def __init__(self, name, args) -> None:
super().__init__(name=name, args=args)
def __repr__(self):
args = ",".join(_js_repr(arg) for arg in self.args)
return f"{self.name}({args})"
| FunctionExpression |
python | microsoft__pyright | packages/pyright-internal/src/tests/samples/solver12.py | {
"start": 248,
"end": 350
} | class ____:
def chain(self: _T1) -> _T1: ...
def func1(p1: _T2) -> _T2:
return p1.chain()
| ClassA |
python | pytorch__pytorch | test/dynamo/cpython/3_13/test_ordered_dict.py | {
"start": 40983,
"end": 41647
} | class ____:
def __init__(self, size):
super().__init__()
self.size = size
self.counts = dict.fromkeys(('get', 'set', 'del'), 0)
def __getitem__(self, item):
self.counts['get'] += 1
value = super().__getitem__(item)
self.move_to_end(item)
return value
... | SimpleLRUCache |
python | vyperlang__vyper | vyper/builtins/functions.py | {
"start": 70591,
"end": 73262
} | class ____(BuiltinFunctionT):
_id = "uint2str"
_inputs = [("x", IntegerT.unsigneds())]
def fetch_call_return(self, node):
arg_t = self.infer_arg_types(node)[0]
bits = arg_t.bits
len_needed = math.ceil(bits * math.log(2) / math.log(10))
return StringT(len_needed)
def _tr... | Uint2Str |
python | openai__openai-python | src/openai/types/responses/response_conversation_param.py | {
"start": 216,
"end": 340
} | class ____(TypedDict, total=False):
id: Required[str]
"""The unique ID of the conversation."""
| ResponseConversationParam |
python | pytorch__pytorch | torch/_dynamo/source.py | {
"start": 7723,
"end": 8270
} | class ____(Source):
random_call_index: int
def guard_source(self) -> GuardSource:
return GuardSource.RANDOM_VALUE
def reconstruct(self, codegen: "PyCodegen") -> None:
codegen.append_output(codegen.create_load(codegen.tx.output.random_values_var))
codegen.append_output(codegen.creat... | RandomValueSource |
python | doocs__leetcode | solution/0700-0799/0799.Champagne Tower/Solution2.py | {
"start": 0,
"end": 424
} | class ____:
def champagneTower(self, poured: int, query_row: int, query_glass: int) -> float:
f = [poured]
for i in range(1, query_row + 1):
g = [0] * (i + 1)
for j, v in enumerate(f):
if v > 1:
half = (v - 1) / 2
g[j] +... | Solution |
python | getsentry__sentry | tests/sentry/snuba/test_validators.py | {
"start": 460,
"end": 11447
} | class ____(TestCase):
def setUp(self) -> None:
self.valid_data = {
"queryType": SnubaQuery.Type.ERROR.value,
"dataset": Dataset.Events.value,
"query": "test query",
"aggregate": "count()",
"timeWindow": 60,
"environment": self.environme... | SnubaQueryValidatorTest |
python | PrefectHQ__prefect | src/prefect/server/schemas/filters.py | {
"start": 74958,
"end": 75482
} | class ____(PrefectFilterBaseModel):
"""Filter by `Artifact.flow_run_id`."""
any_: Optional[list[UUID]] = Field(
default=None, description="A list of flow run IDs to include"
)
def _get_filter_list(
self, db: "PrefectDBInterface"
) -> Iterable[sa.ColumnExpressionArgument[bool]]:
... | ArtifactFilterFlowRunId |
python | plotly__plotly.py | plotly/graph_objs/layout/newselection/_line.py | {
"start": 235,
"end": 4471
} | class ____(_BaseLayoutHierarchyType):
_parent_path_str = "layout.newselection"
_path_str = "layout.newselection.line"
_valid_props = {"color", "dash", "width"}
@property
def color(self):
"""
Sets the line color. By default uses either dark grey or white
to increase contrast ... | Line |
python | tensorflow__tensorflow | tensorflow/python/ops/parallel_for/control_flow_ops_test.py | {
"start": 80448,
"end": 84858
} | class ____(PForTestCase):
@test_util.run_v1_only("b/122612051")
def test_var_loop_len(self):
num_iters = array_ops.placeholder(dtypes.int32)
def loop_fn(_):
return sparse_tensor.SparseTensor([[0], [1], [2]], [4, 5, 6],
[3]) # [0, 2, 0]
pfor = pfor_contro... | SparseTest |
python | tensorflow__tensorflow | tensorflow/python/ops/math_grad_test.py | {
"start": 21892,
"end": 23974
} | class ____(test.TestCase):
def _xlog1py_gradients(self, x, y):
xlog1py_xgrad = self.evaluate(
gradients.gradients(math_ops.xlog1py(x, y), x)[0])
xlog1py_ygrad = self.evaluate(
gradients.gradients(math_ops.xlog1py(x, y), y)[0])
return xlog1py_xgrad, xlog1py_ygrad
@test_util.run_deprecat... | Xlog1pyTest |
python | charliermarsh__ruff | crates/ruff_linter/resources/test/fixtures/pycodestyle/E70.py | {
"start": 1056,
"end": 1193
} | class ____:
match: Optional[Match] = None
#: E702:2:4
while 1:
1;...
#: E703:2:1
0\
;
#: E701:2:3
a = \
5;
#:
with x(y) as z: ...
| Foo |
python | celery__celery | t/unit/backends/test_base.py | {
"start": 1958,
"end": 7330
} | class ____:
def setup_method(self):
self.app.conf.accept_content = ['json']
def test_accept_precedence(self):
# default is app.conf.accept_content
accept_content = self.app.conf.accept_content
b1 = BaseBackend(self.app)
assert prepare_accept_content(accept_content) == ... | test_Backend_interface |
python | falconry__falcon | tests/test_wsgi_interface.py | {
"start": 71,
"end": 1480
} | class ____:
def test_srmock(self):
mock = testing.StartResponseMock()
mock(falcon.HTTP_200, ())
assert mock.status == falcon.HTTP_200
assert mock.exc_info is None
mock = testing.StartResponseMock()
exc_info = sys.exc_info()
mock(falcon.HTTP_200, (), exc_info... | TestWSGIInterface |
python | keras-team__keras | keras/src/metrics/iou_metrics_test.py | {
"start": 8641,
"end": 17737
} | class ____(testing.TestCase):
def test_config(self):
m_obj = metrics.MeanIoU(num_classes=2, name="mean_iou")
self.assertEqual(m_obj.name, "mean_iou")
self.assertEqual(m_obj.num_classes, 2)
m_obj2 = metrics.MeanIoU.from_config(m_obj.get_config())
self.assertEqual(m_obj2.name,... | MeanIoUTest |
python | dateutil__dateutil | src/dateutil/parser/_parser.py | {
"start": 19356,
"end": 49747
} | class ____(object):
def __init__(self, info=None):
self.info = info or parserinfo()
def parse(self, timestr, default=None,
ignoretz=False, tzinfos=None, **kwargs):
"""
Parse the date/time string into a :class:`datetime.datetime` object.
:param timestr:
... | parser |
python | ray-project__ray | python/ray/data/tests/preprocessors/test_chain.py | {
"start": 4909,
"end": 5800
} | class ____(Preprocessor):
pass
def test_determine_transform_to_use():
# Test that _determine_transform_to_use doesn't throw any exceptions
# and selects the transform function of the underlying preprocessor
# while dealing with the nested Chain case.
# Check that error is propagated correctly
... | PreprocessorWithoutTransform |
python | ray-project__ray | python/ray/air/_internal/util.py | {
"start": 1788,
"end": 3876
} | class ____(threading.Thread):
"""Supervisor thread that runs your script."""
def __init__(self, *args, error_queue, **kwargs):
threading.Thread.__init__(self, *args, **kwargs)
self._error_queue = error_queue
self._ret = None
def _propagate_exception(self, e: BaseException):
... | RunnerThread |
python | gevent__gevent | src/gevent/tests/test__pywsgi.py | {
"start": 17682,
"end": 17828
} | class ____(TestNoChunks):
HTTP_CLIENT_VERSION = '1.0'
PIPELINE_NOT_SUPPORTED_EXS = (ConnectionClosed,)
EXPECT_CLOSE = True
| TestNoChunks10 |
python | getsentry__sentry | src/sentry/integrations/jira/integration.py | {
"start": 4946,
"end": 5015
} | class ____(TypedDict):
value: str
label: str
| JiraProjectMapping |
python | matplotlib__matplotlib | lib/matplotlib/patheffects.py | {
"start": 12178,
"end": 13321
} | class ____(AbstractPathEffect):
"""
Draws a `.PathPatch` instance whose Path comes from the original
PathEffect artist.
"""
def __init__(self, offset=(0, 0), **kwargs):
"""
Parameters
----------
offset : (float, float), default: (0, 0)
The (x, y) offset t... | PathPatchEffect |
python | apache__airflow | providers/common/sql/tests/unit/common/sql/operators/test_sql_execute.py | {
"start": 1549,
"end": 14751
} | class ____(NamedTuple):
id2: str
value2: str
@pytest.mark.parametrize(
("sql", "return_last", "split_statement", "hook_results", "hook_descriptions", "expected_results"),
[
pytest.param(
"select * from dummy",
True,
True,
[Row(id="1", value="valu... | Row2 |
python | donnemartin__interactive-coding-challenges | online_judges/maximizing_xor/test_maximizing_xor.py | {
"start": 18,
"end": 344
} | class ____(unittest.TestCase):
def test_maximizing_xor(self):
solution = Solution()
self.assertEqual(solution.max_xor(10, 15), 7)
print('Success: test_maximizing_xor')
def main():
test = TestMaximizingXor()
test.test_maximizing_xor()
if __name__ == '__main__':
main()
| TestMaximizingXor |
python | redis__redis-py | tests/test_cache.py | {
"start": 24272,
"end": 27932
} | class ____:
@pytest.mark.parametrize(
"sentinel_setup",
[
{
"cache": DefaultCache(CacheConfig(max_size=128)),
"force_master_ip": "localhost",
},
{
"cache": DefaultCache(CacheConfig(max_size=128)),
"fo... | TestSentinelCache |
python | huggingface__transformers | src/transformers/models/mobilevit/configuration_mobilevit.py | {
"start": 786,
"end": 6789
} | class ____(PreTrainedConfig):
r"""
This is the configuration class to store the configuration of a [`MobileViTModel`]. It is used to instantiate a
MobileViT model according to the specified arguments, defining the model architecture. Instantiating a
configuration with the defaults will yield a similar c... | MobileViTConfig |
python | HypothesisWorks__hypothesis | hypothesis-python/src/hypothesis/strategies/_internal/deferred.py | {
"start": 860,
"end": 3683
} | class ____(SearchStrategy[Ex]):
"""A strategy which may be used before it is fully defined."""
def __init__(self, definition: Callable[[], SearchStrategy[Ex]]):
super().__init__()
self.__wrapped_strategy: SearchStrategy[Ex] | None = None
self.__in_repr: bool = False
self.__defin... | DeferredStrategy |
python | astropy__astropy | astropy/io/fits/tests/test_util.py | {
"start": 488,
"end": 2449
} | class ____(FitsTestCase):
@pytest.mark.skipif(sys.platform.startswith("win"), reason="Cannot test on Windows")
def test_ignore_sigint(self):
if threading.active_count() > 1: # Only check when test starts.
pytest.skip("Cannot test when multiple threads are active")
@ignore_sigint
... | TestUtils |
python | getsentry__sentry | src/sentry/incidents/serializers/alert_rule_trigger_action.py | {
"start": 1202,
"end": 10579
} | class ____(CamelSnakeModelSerializer):
"""
Serializer for creating/updating a trigger action. Required context:
- `trigger`: The trigger related to this action.
- `alert_rule`: The alert_rule related to this action.
- `organization`: The organization related to this action.
- `access`: An ac... | AlertRuleTriggerActionSerializer |
python | jina-ai__jina | tests/unit/serve/executors/test_bad_executor_constructor.py | {
"start": 59,
"end": 217
} | class ____(Executor):
def __init__(self, **kwargs):
super().__init__(**kwargs)
@requests
def foo(self, **kwargs):
pass
| GoodExecutor |
python | pandas-dev__pandas | pandas/tests/arrays/period/test_reductions.py | {
"start": 66,
"end": 981
} | class ____:
def test_min_max(self):
arr = period_array(
[
"2000-01-03",
"2000-01-03",
"NaT",
"2000-01-02",
"2000-01-05",
"2000-01-04",
],
freq="D",
)
result = ... | TestReductions |
python | google__pytype | pytype/overlays/abc_overlay.py | {
"start": 446,
"end": 991
} | class ____(overlay.Overlay):
"""A custom overlay for the 'abc' module."""
def __init__(self, ctx):
member_map = {
"abstractclassmethod": AbstractClassMethod.make,
"abstractmethod": AbstractMethod.make,
"abstractproperty": AbstractProperty.make,
"abstractstaticmethod": AbstractSt... | ABCOverlay |
python | RaRe-Technologies__gensim | gensim/test/test_similarities.py | {
"start": 19852,
"end": 21254
} | class ____(_TestSimilarityABC):
def setUp(self):
self.cls = similarities.SparseMatrixSimilarity
def test_maintain_sparsity(self):
"""Sparsity is correctly maintained when maintain_sparsity=True"""
num_features = len(DICTIONARY)
index = self.cls(CORPUS, num_features=num_features... | TestSparseMatrixSimilarity |
python | google__pytype | pytype/vm_utils.py | {
"start": 1273,
"end": 1550
} | class ____(enum.Enum):
"""Ways in which a JUMP_IF opcode may pop a value off the stack."""
NONE = enum.auto() # does not pop
OR = enum.auto() # pops when the jump is not taken
ALWAYS = enum.auto() # always pops
@dataclasses.dataclass(eq=True, frozen=True)
| PopBehavior |
python | kubernetes-client__python | kubernetes/client/models/v1_custom_resource_definition_version.py | {
"start": 383,
"end": 13909
} | 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... | V1CustomResourceDefinitionVersion |
python | kamyu104__LeetCode-Solutions | Python/find-maximal-uncovered-ranges.py | {
"start": 52,
"end": 665
} | class ____(object):
def findMaximalUncoveredRanges(self, n, ranges):
"""
:type n: int
:type ranges: List[List[int]]
:rtype: List[List[int]]
"""
ranges.sort()
covered = [[-1, -1]]
for left, right in ranges:
if covered[-1][1] < left:
... | Solution |
python | getsentry__sentry | tests/sentry/api/test_authentication.py | {
"start": 21442,
"end": 25331
} | class ____(TestCase):
def setUp(self) -> None:
super().setUp()
# Create a concrete implementation for testing
class TestServiceAuth(ServiceRpcSignatureAuthentication):
shared_secret_setting_name = "TEST_SERVICE_RPC_SHARED_SECRET"
service_name = "TestService"
... | TestServiceRpcSignatureAuthentication |
python | sqlalchemy__sqlalchemy | lib/sqlalchemy/testing/suite/test_reflection.py | {
"start": 108572,
"end": 109859
} | class ____(fixtures.TablesTest):
__requires__ = ("denormalized_names",)
__sparse_driver_backend__ = True
@classmethod
def define_tables(cls, metadata):
Table(
quoted_name("t1", quote=True),
metadata,
Column("id", Integer, primary_key=True),
)
... | NormalizedNameTest |
python | PrefectHQ__prefect | src/prefect/exceptions.py | {
"start": 7467,
"end": 7662
} | class ____(PrefectException, RuntimeError):
"""
Raised when a method is called that requires a task or flow run context to be
active but one cannot be found.
"""
| MissingContextError |
python | Netflix__metaflow | test/test_config/hellodecos_base.py | {
"start": 301,
"end": 342
} | class ____(FlowSpec):
pass
| MyBaseFlowSpec |
python | great-expectations__great_expectations | tests/data_context/abstract_data_context/test_data_docs_config_crud.py | {
"start": 2486,
"end": 2768
} | class ____:
@pytest.mark.unit
def test_list_data_docs_sites(self, ephemeral_context_with_defaults: EphemeralDataContext):
site_names = [d for d in ephemeral_context_with_defaults.list_data_docs_sites()]
assert site_names == ["local_site"]
| TestListDataDocsSites |
python | astropy__astropy | astropy/coordinates/earth.py | {
"start": 716,
"end": 3311
} | class ____(NamedTuple):
"""A namedtuple for geodetic coordinates.
The longitude is increasing to the east, so west longitudes are negative.
"""
lon: Longitude
"""The longitude, increasting to the east."""
lat: Latitude
"""The latitude."""
height: u.Quantity
"""The height above th... | GeodeticLocation |
python | huggingface__transformers | src/transformers/models/perceiver/modeling_perceiver.py | {
"start": 109100,
"end": 110381
} | class ____(AbstractPreprocessor):
"""
Text preprocessing for Perceiver Encoder. Can be used to embed `inputs` and add positional encodings.
The dimensionality of the embeddings is determined by the `d_model` attribute of the configuration.
Args:
config ([`PerceiverConfig`]):
Model ... | PerceiverTextPreprocessor |
python | sanic-org__sanic | sanic/pages/error.py | {
"start": 634,
"end": 3939
} | class ____(BasePage):
"""Page for displaying an error."""
STYLE_APPEND = tracerite.html.style
def __init__(
self,
debug: bool,
title: str,
text: str,
request: Request,
exc: Exception,
) -> None:
super().__init__(debug)
name = request.app.... | ErrorPage |
python | pytorch__pytorch | torch/testing/_internal/common_device_type.py | {
"start": 38397,
"end": 41370
} | class ____(Enum):
supported = 0 # Test all supported dtypes (default)
unsupported = 1 # Test only unsupported dtypes
supported_backward = 2 # Test all supported backward dtypes
unsupported_backward = 3 # Test only unsupported backward dtypes
any_one = 4 # Test precisely one supported dtype
... | OpDTypes |
python | pytorch__pytorch | torch/_higher_order_ops/triton_kernel_wrap.py | {
"start": 6931,
"end": 7059
} | class ____:
idx: int
def fake(self) -> bool:
return self.idx < 0
@dataclasses.dataclass(frozen=True)
| Intermediate |
python | plotly__plotly.py | plotly/graph_objs/histogram/_xbins.py | {
"start": 233,
"end": 8985
} | class ____(_BaseTraceHierarchyType):
_parent_path_str = "histogram"
_path_str = "histogram.xbins"
_valid_props = {"end", "size", "start"}
@property
def end(self):
"""
Sets the end value for the x axis bins. The last bin may not
end exactly at this value, we increment the bin... | XBins |
python | kubernetes-client__python | kubernetes/client/models/v1beta1_json_patch.py | {
"start": 383,
"end": 10016
} | 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... | V1beta1JSONPatch |
python | pytorch__pytorch | test/test_dataloader.py | {
"start": 35206,
"end": 35437
} | class ____(IterableDataset):
def __iter__(self):
raise RuntimeError("Error in __iter__")
# used with test_error_in_init
def error_worker_init_fn(_):
raise RuntimeError("Error in worker_init_fn")
| ErrorIterableDataset |
python | pytorch__pytorch | torch/fx/experimental/accelerator_partitioner.py | {
"start": 1751,
"end": 9846
} | class ____(NamedTuple):
"""NameTuple used for returning DAG and a new fx module"""
dag: DAG
module_with_submodules: GraphModule
"""Followings are some helper functions for partition manipulation"""
def reset_partition_device(partitions):
for partition in partitions:
partition.logical_device... | PartitionResult |
python | getsentry__sentry | src/sentry/dynamic_sampling/tasks/common.py | {
"start": 6695,
"end": 14847
} | class ____:
"""
Fetch organizations volumes in batches.
A batch will return at max max_orgs elements
"""
def __init__(
self,
max_orgs: int = MAX_ORGS_PER_QUERY,
time_interval: timedelta = ACTIVE_ORGS_VOLUMES_DEFAULT_TIME_INTERVAL,
granularity: Granularity = ACTIVE_OR... | GetActiveOrgsVolumes |
python | getsentry__sentry | tests/sentry/incidents/test_logic.py | {
"start": 9820,
"end": 10801
} | class ____(BaseIncidentsTest, BaseIncidentsValidation):
@cached_property
def project_incident(self):
self.create_event(self.now - timedelta(minutes=2))
self.create_event(self.now - timedelta(minutes=2))
self.create_event(self.now - timedelta(minutes=1))
return self.create_inciden... | BaseIncidentEventStatsTest |
python | tensorflow__tensorflow | tensorflow/python/kernel_tests/metrics_test.py | {
"start": 27742,
"end": 35587
} | class ____(test.TestCase):
def setUp(self):
np.random.seed(1)
ops.reset_default_graph()
@test_util.run_deprecated_v1
def testVars(self):
metrics.precision(
predictions=array_ops.ones((10, 1)), labels=array_ops.ones((10, 1)))
_assert_metric_variables(self, ('precision/false_positives/coun... | PrecisionTest |
python | pytorch__pytorch | torch/distributions/constraints.py | {
"start": 14034,
"end": 14616
} | class ____(Constraint):
"""
Constrain to a real interval `[lower_bound, upper_bound]`.
"""
def __init__(self, lower_bound, upper_bound):
self.lower_bound = lower_bound
self.upper_bound = upper_bound
super().__init__()
def check(self, value):
return (self.lower_bound... | _Interval |
python | getsentry__sentry | src/sentry/sentry_metrics/indexer/mock.py | {
"start": 4127,
"end": 4240
} | class ____(SimpleIndexer):
"""
Mock string indexer. Comes with a prepared set of strings.
"""
| MockIndexer |
python | falconry__falcon | falcon/stream.py | {
"start": 853,
"end": 5690
} | class ____(io.IOBase):
"""Wrap *wsgi.input* streams to make them more robust.
``socket._fileobject`` and ``io.BufferedReader`` are sometimes used
to implement *wsgi.input*. However, app developers are often burned
by the fact that the `read()` method for these objects block
indefinitely if either n... | BoundedStream |
python | run-llama__llama_index | llama-index-integrations/readers/llama-index-readers-notion/llama_index/readers/notion/base.py | {
"start": 525,
"end": 9091
} | class ____(BasePydanticReader):
"""
Notion Page reader.
Reads a set of Notion pages.
Args:
integration_token (str): Notion integration token.
"""
is_remote: bool = True
token: str
headers: Dict[str, str]
def __init__(self, integration_token: Optional[str] = None) -> None... | NotionPageReader |
python | dagster-io__dagster | python_modules/dagster-pipes/dagster_pipes/__init__.py | {
"start": 38678,
"end": 39219
} | class ____(PipesStdioLogWriterChannel):
"""A log writer channel that writes stdout or stderr to a given file."""
def __init__(
self, output_path: str, stream: Literal["stdout", "stderr"], name: str, interval: float
):
self.output_path = output_path
super().__init__(interval=interva... | PipesStdioFileLogWriterChannel |
python | huggingface__transformers | src/transformers/models/instructblip/configuration_instructblip.py | {
"start": 9877,
"end": 14704
} | class ____(PreTrainedConfig):
r"""
[`InstructBlipConfig`] is the configuration class to store the configuration of a
[`InstructBlipForConditionalGeneration`]. It is used to instantiate a InstructBLIP model according to the specified
arguments, defining the vision model, Q-Former model and language model... | InstructBlipConfig |
python | tensorflow__tensorflow | tensorflow/python/kernel_tests/linalg/matrix_exponential_op_test.py | {
"start": 6076,
"end": 9364
} | class ____(test.Benchmark):
shapes = [
(4, 4),
(10, 10),
(16, 16),
(101, 101),
(256, 256),
(1000, 1000),
(1024, 1024),
(2048, 2048),
(513, 4, 4),
(513, 16, 16),
(513, 256, 256),
]
def _GenerateMatrix(self, shape):
batch_shape = shape[:-2]
... | MatrixExponentialBenchmark |
python | crytic__slither | slither/slithir/operations/new_elementary_type.py | {
"start": 244,
"end": 790
} | class ____(Call, OperationWithLValue):
def __init__(self, new_type, lvalue):
assert isinstance(new_type, ElementaryType)
assert is_valid_lvalue(lvalue)
super().__init__()
self._type = new_type
self._lvalue = lvalue
@property
def type(self):
return self._type
... | NewElementaryType |
python | sympy__sympy | sympy/polys/orderings.py | {
"start": 908,
"end": 1107
} | class ____(MonomialOrder):
"""Lexicographic order of monomials. """
alias = 'lex'
is_global = True
is_default = True
def __call__(self, monomial):
return monomial
| LexOrder |
python | getsentry__sentry | tests/sentry/integrations/discord/test_integration.py | {
"start": 1146,
"end": 7717
} | class ____(IntegrationTestCase):
provider = DiscordIntegrationProvider
def setUp(self) -> None:
super().setUp()
self.application_id = "application-id"
self.public_key = "public-key"
self.bot_token = "bot-token"
self.client_secret = "client-secret"
options.set("di... | DiscordSetupTestCase |
python | ray-project__ray | python/ray/tests/test_output.py | {
"start": 17586,
"end": 18939
} | class ____:
def __init__(self, *, num_threads: int = 5):
self._num_threads = num_threads
self._done_count = 0
self._done_lock = threading.Lock()
self._done_event = threading.Event()
def _spin():
for _ in range(300000000):
pass
for _ in ra... | A |
python | encode__django-rest-framework | rest_framework/throttling.py | {
"start": 5234,
"end": 5757
} | class ____(SimpleRateThrottle):
"""
Limits the rate of API calls that may be made by a anonymous users.
The IP address of the request will be used as the unique cache key.
"""
scope = 'anon'
def get_cache_key(self, request, view):
if request.user and request.user.is_authenticated:
... | AnonRateThrottle |
python | automl__auto-sklearn | test/test_util/test_logging.py | {
"start": 134,
"end": 1667
} | class ____(unittest.TestCase):
def test_setup_logger(self):
# Test that setup_logger function correctly configures the logger
# according to the given dictionary, and uses the default
# logging.yaml file if logging_config is not specified.
with open(
os.path.join(os.path... | LoggingTest |
python | allegroai__clearml | clearml/backend_api/services/v2_23/workers.py | {
"start": 13886,
"end": 25261
} | class ____(NonStrictDataModel):
"""
:param id: Worker ID
:type id: str
:param user: Associated user (under whose credentials are used by the worker
daemon)
:type user: IdNameEntry
:param company: Associated company
:type company: IdNameEntry
:param ip: IP of the worker
:type ... | Worker |
python | mlflow__mlflow | mlflow/gateway/providers/base.py | {
"start": 432,
"end": 2918
} | class ____(ABC):
"""
Base class for MLflow Gateway providers.
"""
NAME: str = ""
SUPPORTED_ROUTE_TYPES: tuple[str, ...]
CONFIG_TYPE: type[ConfigModel]
def __init__(self, config: EndpointConfig):
if self.NAME == "":
raise ValueError(
f"{self.__class__.__n... | BaseProvider |
python | spack__spack | lib/spack/spack/util/compression.py | {
"start": 16640,
"end": 16987
} | class ____(CompressedFileTypeInterface):
_MAGIC_NUMBER = b"\x42\x5a\x68"
extension = "bz2"
name = "bzip2 compressed data"
def peek(self, stream: BinaryIO, num_bytes: int) -> Optional[io.BytesIO]:
if BZ2_SUPPORTED:
return _decompressed_peek(bz2.BZ2File(stream), stream, num_bytes)
... | BZipFileType |
python | PrefectHQ__prefect | src/prefect/client/schemas/filters.py | {
"start": 33461,
"end": 33693
} | class ____(PrefectBaseModel):
"""Filter by `ArtifactCollection.task_run_id`."""
any_: Optional[List[UUID]] = Field(
default=None, description="A list of task run IDs to include"
)
| ArtifactCollectionFilterTaskRunId |
python | microsoft__pyright | packages/pyright-internal/src/tests/samples/protocol10.py | {
"start": 133,
"end": 224
} | class ____(Protocol):
def a(self) -> None: ...
def b(self) -> None: ...
| ProtocolBase |
python | tensorflow__tensorflow | tensorflow/python/data/benchmarks/from_tensor_slices_benchmark.py | {
"start": 2353,
"end": 5958
} | class ____(benchmark_base.DatasetBenchmarkBase):
"""Benchmarks for `tf.data.Dataset.from_tensor_slices()`."""
def benchmark_slice_repeat_batch(self):
input_size = 10000
batch_size = 100
num_epochs = 100
num_elements = input_size * num_epochs // batch_size
input_data = np.random.randn(input_siz... | FromTensorSlicesBenchmark |
python | getsentry__sentry | src/sentry/integrations/msteams/webhook.py | {
"start": 3255,
"end": 3382
} | class ____(MsTeamsIntegrationAnalytics):
pass
@analytics.eventclass("integrations.msteams.archive")
| MsTeamsIntegrationResolve |
python | huggingface__transformers | src/transformers/models/pop2piano/modeling_pop2piano.py | {
"start": 23858,
"end": 27674
} | class ____(PreTrainedModel):
config: Pop2PianoConfig
base_model_prefix = "transformer"
output_modalities = ("audio",)
supports_gradient_checkpointing = True
_can_compile_fullgraph = False
_no_split_modules = ["Pop2PianoBlock"]
_keep_in_fp32_modules = ["wo"]
@torch.no_grad()
def _in... | Pop2PianoPreTrainedModel |
python | pdm-project__pdm | src/pdm/resolver/base.py | {
"start": 887,
"end": 2154
} | class ____(abc.ABC):
"""The resolver class."""
environment: BaseEnvironment
"""The environment instance."""
requirements: list[Requirement]
"""The list of requirements to resolve."""
update_strategy: str
"""The update strategy to use [all|reuse|eager|reuse-installed]."""
strategies: set... | Resolver |
python | scrapy__scrapy | tests/spiders.py | {
"start": 11753,
"end": 12780
} | class ____(MockServerSpider, CrawlSpider):
"""
A CrawlSpider which overrides the 'parse' method
"""
name = "crawl_spider_with_parse_method"
custom_settings: dict = {
"RETRY_HTTP_CODES": [], # no need to retry
}
rules = (Rule(LinkExtractor(), callback="parse", follow=True),)
as... | CrawlSpiderWithParseMethod |
python | openai__openai-python | src/openai/types/responses/response_computer_tool_call.py | {
"start": 3092,
"end": 3296
} | class ____(BaseModel):
text: str
"""The text to type."""
type: Literal["type"]
"""Specifies the event type.
For a type action, this property is always set to `type`.
"""
| ActionType |
python | scipy__scipy | benchmarks/benchmarks/go_benchmark_functions/go_funcs_P.py | {
"start": 1375,
"end": 2780
} | class ____(Benchmark):
r"""
Pathological objective function.
This class defines the Pathological [1]_ global optimization problem. This is a
multimodal minimization problem defined as follows:
.. math::
f_{\text{Pathological}}(x) = \sum_{i=1}^{n -1} \frac{\sin^{2}\left(
\sqrt{100... | Pathological |
python | anthropics__anthropic-sdk-python | src/anthropic/types/message_create_params.py | {
"start": 10675,
"end": 11036
} | class ____(MessageCreateParamsBase):
stream: Required[Literal[True]]
"""Whether to incrementally stream the response using server-sent events.
See [streaming](https://docs.claude.com/en/api/messages-streaming) for details.
"""
MessageCreateParams = Union[MessageCreateParamsNonStreaming, MessageCreate... | MessageCreateParamsStreaming |
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