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 | kamyu104__LeetCode-Solutions | Python/serialize-and-deserialize-binary-tree.py | {
"start": 1474,
"end": 2569
} | class ____(object):
def serialize(self, root):
"""Encodes a tree to a single string.
:type root: TreeNode
:rtype: str
"""
def gen_preorder(node):
if not node:
yield '#'
else:
yield str(node.val)
... | Codec2 |
python | PrefectHQ__prefect | tests/server/models/test_deployments.py | {
"start": 27539,
"end": 49016
} | class ____:
async def test_schedule_runs_inserts_in_db(self, deployment, session):
scheduled_runs = await models.deployments.schedule_runs(
session, deployment_id=deployment.id
)
assert len(scheduled_runs) == PREFECT_API_SERVICES_SCHEDULER_MIN_RUNS.value()
query_result = ... | TestScheduledRuns |
python | PyCQA__pylint | doc/data/messages/i/implicit-flag-alias/good.py | {
"start": 27,
"end": 102
} | class ____(IntFlag):
READ = 1
WRITE = 2
EXECUTE = 4
| FilePermissions |
python | huggingface__transformers | tests/repo_utils/test_check_docstrings.py | {
"start": 914,
"end": 4978
} | class ____(unittest.TestCase):
def test_replace_default_in_arg_description(self):
# Standard docstring with default.
desc_with_default = "`float`, *optional*, defaults to 2.0"
self.assertEqual(
replace_default_in_arg_description(desc_with_default, 2.0), "`float`, *optional*, defa... | CheckDostringsTested |
python | pytorch__pytorch | torch/_inductor/ir.py | {
"start": 124518,
"end": 134374
} | class ____(OutputSpec):
"""
Layout base class
Carries tensor meta-information including offset and
whether it is pinned.
"""
def __init__(
self,
device: torch.device,
dtype: torch.dtype,
size: Sequence[Expr],
stride: Optional[Sequence[Expr]] = None,
... | Layout |
python | pytest-dev__pytest | testing/test_terminal.py | {
"start": 15929,
"end": 22175
} | class ____:
def test_collectonly_basic(self, pytester: Pytester) -> None:
pytester.makepyfile(
"""
def test_func():
pass
"""
)
result = pytester.runpytest("--collect-only")
result.stdout.fnmatch_lines(
[
"<Di... | TestCollectonly |
python | doocs__leetcode | solution/0800-0899/0846.Hand of Straights/Solution2.py | {
"start": 0,
"end": 498
} | class ____:
def isNStraightHand(self, hand: List[int], groupSize: int) -> bool:
if len(hand) % groupSize:
return False
cnt = Counter(hand)
sd = SortedDict(cnt)
while sd:
x = next(iter(sd))
for y in range(x, x + groupSize):
if y not ... | Solution |
python | airbytehq__airbyte | airbyte-ci/connectors/metadata_service/orchestrator/orchestrator/models/metadata.py | {
"start": 1443,
"end": 1530
} | class ____(PydanticDictMixin, ConnectorMetadataDefinitionV0):
pass
| MetadataDefinition |
python | django__django | tests/admin_views/tests.py | {
"start": 308491,
"end": 309585
} | class ____(TestCase):
@classmethod
def setUpTestData(cls):
cls.superuser = User.objects.create_superuser(
username="super", password="secret", email="super@example.com"
)
def setUp(self):
self.client.force_login(self.superuser)
def test_limit_choices_to_as_callable(... | LimitChoicesToInAdminTest |
python | huggingface__transformers | tests/models/auto/test_processor_auto.py | {
"start": 2623,
"end": 20998
} | class ____(unittest.TestCase):
vocab_tokens = ["[UNK]", "[CLS]", "[SEP]", "[PAD]", "[MASK]", "bla", "blou"]
def setUp(self):
transformers.dynamic_module_utils.TIME_OUT_REMOTE_CODE = 0
def test_processor_from_model_shortcut(self):
processor = AutoProcessor.from_pretrained("facebook/wav2vec2... | AutoFeatureExtractorTest |
python | PrefectHQ__prefect | src/prefect/logging/handlers.py | {
"start": 11746,
"end": 13547
} | class ____(StreamHandler):
def __init__(
self,
stream: TextIO | None = None,
highlighter: type[Highlighter] = PrefectConsoleHighlighter,
styles: dict[str, str] | None = None,
level: int | str = logging.NOTSET,
):
"""
The default console handler for Prefect... | PrefectConsoleHandler |
python | getsentry__sentry | tests/sentry/utils/test_exceptions.py | {
"start": 15625,
"end": 16953
} | class ____:
def test_basic_functionality_minimal_mocking(self) -> None:
with patch("sentry_sdk.new_scope") as mock_scope:
mock_scope_instance = Mock()
mock_scope.return_value.__enter__ = Mock(return_value=mock_scope_instance)
mock_scope.return_value.__exit__ = Mock(return... | TestSetSentryExceptionLevels |
python | google__pytype | pytype/tools/analyze_project/config_test.py | {
"start": 3008,
"end": 3813
} | class ____(TestBase):
"""Test Config."""
def test_populate_from(self):
conf = config.Config()
self._validate_empty_contents(conf)
conf.populate_from(
types.SimpleNamespace(**{k: 42 for k in config.ITEMS}))
for k in config.ITEMS:
self.assertEqual(getattr(conf, k), 42)
def test_popul... | TestConfig |
python | apache__airflow | providers/amazon/src/airflow/providers/amazon/aws/hooks/kinesis_analytics.py | {
"start": 891,
"end": 2287
} | class ____(AwsBaseHook):
"""
Interact with Amazon Kinesis Analytics V2.
Provide thin wrapper around :external+boto3:py:class:`boto3.client("kinesisanalyticsv2") <KinesisAnalyticsV2.Client>`.
Additional arguments (such as ``aws_conn_id``) may be specified and
are passed down to the underlying AwsBa... | KinesisAnalyticsV2Hook |
python | numpy__numpy | numpy/distutils/fcompiler/intel.py | {
"start": 6100,
"end": 6570
} | class ____(IntelVisualFCompiler):
compiler_type = 'intelvem'
description = 'Intel Visual Fortran Compiler for 64-bit apps'
version_match = simple_version_match(start=r'Intel\(R\).*?64,')
def get_flags_arch(self):
return []
if __name__ == '__main__':
from distutils import log
log.set_... | IntelEM64VisualFCompiler |
python | allegroai__clearml | clearml/backend_api/services/v2_23/tasks.py | {
"start": 113632,
"end": 118867
} | class ____(Request):
"""
Update existing artifacts (search by key/mode) and add new ones
:param task: Task ID
:type task: str
:param artifacts: Artifacts to add or update
:type artifacts: Sequence[Artifact]
:param force: If set to True then both new and running task artifacts can be
... | AddOrUpdateArtifactsRequest |
python | tensorflow__tensorflow | tensorflow/lite/python/lite.py | {
"start": 131716,
"end": 133571
} | class ____:
"""Convert a TensorFlow model into `output_format`.
This class has been deprecated. Please use `lite.TFLiteConverter` instead.
"""
@classmethod
@_deprecation.deprecated(
None, "Use `lite.TFLiteConverter.from_session` instead."
)
def from_session(cls, sess, input_tensors, output_tensors... | TocoConverter |
python | pydantic__pydantic | tests/mypy/modules/root_models.py | {
"start": 481,
"end": 526
} | class ____(RootModel[T | None]):
pass
| Maybe |
python | django-compressor__django-compressor | compressor/filters/base.py | {
"start": 1816,
"end": 3720
} | class ____(FilterBase):
"""
A filter which takes function path in `callback` attribute, imports it
and uses that function to filter output string::
class MyFilter(CallbackOutputFilter):
callback = 'path.to.my.callback'
Callback should be a function which takes a string as first arg... | CallbackOutputFilter |
python | pennersr__django-allauth | allauth/socialaccount/providers/dataporten/views.py | {
"start": 248,
"end": 2576
} | class ____(OAuth2Adapter):
provider_id = "dataporten"
access_token_url = "https://auth.dataporten.no/oauth/token" # nosec
authorize_url = "https://auth.dataporten.no/oauth/authorization"
profile_url = "https://auth.dataporten.no/userinfo"
groups_url = "https://groups-api.dataporten.no/groups/"
... | DataportenOAuth2Adapter |
python | rapidsai__cudf | python/cudf_polars/cudf_polars/experimental/io.py | {
"start": 18596,
"end": 21831
} | class ____:
"""
Parquet metadata container.
Parameters
----------
paths
Parquet-dataset paths.
max_footer_samples
Maximum number of file footers to sample metadata from.
"""
__slots__ = (
"column_names",
"max_footer_samples",
"mean_size_per_file"... | ParquetMetadata |
python | tensorflow__tensorflow | tensorflow/python/ops/summary_ops_v2.py | {
"start": 9227,
"end": 11931
} | class ____(metaclass=abc.ABCMeta):
"""Interface representing a stateful summary writer object."""
def set_as_default(self, step=None):
"""Enables this summary writer for the current thread.
For convenience, if `step` is not None, this function also sets a default
value for the `step` parameter used in... | SummaryWriter |
python | python__mypy | test-data/unit/plugins/magic_method.py | {
"start": 492,
"end": 851
} | class ____(Plugin):
def get_method_hook(self, fullname: str) -> Optional[Callable[[MethodContext], Type]]:
if fullname == 'builtins.int.__add__':
return type_add
if fullname == 'builtins.int.__radd__':
return type_radd
return None
def plugin(version: str) -> type[Te... | TestPlugin |
python | kamyu104__LeetCode-Solutions | Python/walking-robot-simulation.py | {
"start": 33,
"end": 815
} | class ____(object):
def robotSim(self, commands, obstacles):
"""
:type commands: List[int]
:type obstacles: List[List[int]]
:rtype: int
"""
directions = [(0, 1), (1, 0), (0, -1), (-1, 0)]
x, y, i = 0, 0, 0
lookup = set(map(tuple, obstacles))
re... | Solution |
python | run-llama__llama_index | llama-index-integrations/llms/llama-index-llms-dashscope/tests/test_dashscope.py | {
"start": 408,
"end": 1339
} | class ____:
def __init__(self, data: dict):
self.status_code = data["status_code"]
self.output = SimpleNamespace(**data["output"])
def __repr__(self) -> str:
return f"<FakeDashscopeResponse status_code={self.status_code}>"
@pytest.fixture()
def dashscope_llm():
return DashScope(ap... | FakeDashscopeResponse |
python | pandas-dev__pandas | pandas/tests/extension/test_arrow.py | {
"start": 7810,
"end": 40579
} | class ____(base.ExtensionTests):
def _construct_for_combine_add(self, left, right):
dtype = left.dtype
# in a couple cases, addition is not dtype-preserving
if dtype == "bool[pyarrow]":
dtype = pandas_dtype("int64[pyarrow]")
elif dtype == "int8[pyarrow]" and isinstance(r... | TestArrowArray |
python | ansible__ansible | lib/ansible/modules/hostname.py | {
"start": 26052,
"end": 26173
} | class ____(Hostname):
platform = 'FreeBSD'
distribution = None
strategy_class = FreeBSDStrategy
| FreeBSDHostname |
python | davidhalter__parso | test/test_parser_tree.py | {
"start": 204,
"end": 8273
} | class ____:
FIXTURES = [
('def my_function(x, y, z) -> str:\n return x + y * z\n', {
'name': 'my_function',
'call_sig': 'my_function(x, y, z)',
'params': ['x', 'y', 'z'],
'annotation': "str",
}),
('lambda x, y, z: x + y * z\n', {
... | TestsFunctionAndLambdaParsing |
python | realpython__materials | python-selenium/src/bandcamp/web/locators.py | {
"start": 251,
"end": 370
} | class ____:
ITEM = (By.CLASS_NAME, "results-grid-item")
PAGINATION_BUTTON = (By.ID, "view-more")
| TrackListLocator |
python | dagster-io__dagster | python_modules/dagster/dagster/components/utils/defs_state.py | {
"start": 2033,
"end": 2617
} | class ____:
key: str
management_type: DefsStateManagementType
refresh_if_dev: bool
@classmethod
def from_args(cls, args: DefsStateConfigArgs, default_key: str) -> "DefsStateConfig":
return cls(
key=args.key or default_key,
management_type=args.management_type,
... | DefsStateConfig |
python | apache__airflow | providers/google/tests/unit/google/cloud/operators/test_vertex_ai.py | {
"start": 48943,
"end": 51404
} | class ____:
@mock.patch(VERTEX_AI_PATH.format("custom_job.CustomJobHook"))
def test_execute(self, mock_hook):
op = DeleteCustomTrainingJobOperator(
task_id=TASK_ID,
training_pipeline_id=TRAINING_PIPELINE_ID,
custom_job_id=CUSTOM_JOB_ID,
region=GCP_LOCATION... | TestVertexAIDeleteCustomTrainingJobOperator |
python | getsentry__sentry | src/sentry/identity/gitlab/provider.py | {
"start": 2162,
"end": 4581
} | class ____(OAuth2Provider):
key = IntegrationProviderSlug.GITLAB.value
name = "Gitlab"
oauth_scopes = ("api",)
def build_identity(self, data):
data = data["data"]
return {
"type": IntegrationProviderSlug.GITLAB.value,
"id": data["user"]["id"],
"emai... | GitlabIdentityProvider |
python | pallets__jinja | src/jinja2/nodes.py | {
"start": 30815,
"end": 31123
} | class ____(Expr):
"""Mark the wrapped expression as safe (wrap it as `Markup`)."""
fields = ("expr",)
expr: Expr
def as_const(self, eval_ctx: EvalContext | None = None) -> Markup:
eval_ctx = get_eval_context(self, eval_ctx)
return Markup(self.expr.as_const(eval_ctx))
| MarkSafe |
python | kamyu104__LeetCode-Solutions | Python/teemo-attacking.py | {
"start": 29,
"end": 406
} | class ____(object):
def findPoisonedDuration(self, timeSeries, duration):
"""
:type timeSeries: List[int]
:type duration: int
:rtype: int
"""
result = duration * len(timeSeries)
for i in xrange(1, len(timeSeries)):
result -= max(0, duration - (time... | Solution |
python | sqlalchemy__sqlalchemy | lib/sqlalchemy/dialects/mysql/base.py | {
"start": 46480,
"end": 72428
} | class ____(compiler.SQLCompiler):
dialect: MySQLDialect
render_table_with_column_in_update_from = True
"""Overridden from base SQLCompiler value"""
extract_map = compiler.SQLCompiler.extract_map.copy()
extract_map.update({"milliseconds": "millisecond"})
def default_from(self) -> str:
"... | MySQLCompiler |
python | graphql-python__graphene | graphene/types/tests/test_field.py | {
"start": 210,
"end": 4104
} | class ____:
value = "value"
value_func = staticmethod(lambda: "value_func")
def value_method(self):
return "value_method"
def test_field_basic():
MyType = object()
args = {"my arg": Argument(True)}
def resolver():
return None
deprecation_reason = "Deprecated now"
des... | MyInstance |
python | spack__spack | lib/spack/spack/vendor/jinja2/nodes.py | {
"start": 10492,
"end": 11095
} | class ____(Stmt):
"""The for loop. `target` is the target for the iteration (usually a
:class:`Name` or :class:`Tuple`), `iter` the iterable. `body` is a list
of nodes that are used as loop-body, and `else_` a list of nodes for the
`else` block. If no else node exists it has to be an empty list.
... | For |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-rki-covid/source_rki_covid/source.py | {
"start": 6624,
"end": 8631
} | class ____(IncrementalRkiCovidStream):
"""Docs: https://api.corona-zahlen.org/germany/germany/history/incidence/:days"""
primary_key = None
def __init__(self, config, **kwargs):
super().__init__(**kwargs)
self.start_date = config.get("start_date")
@property
def source_defined_curs... | GermanHistoryIncidence |
python | huggingface__transformers | src/transformers/models/ernie/modeling_ernie.py | {
"start": 61983,
"end": 65530
} | class ____(ErniePreTrainedModel):
def __init__(self, config):
super().__init__(config)
self.num_labels = config.num_labels
self.ernie = ErnieModel(config, add_pooling_layer=False)
self.qa_outputs = nn.Linear(config.hidden_size, config.num_labels)
# Initialize weights and ap... | ErnieForQuestionAnswering |
python | walkccc__LeetCode | solutions/2641. Cousins in Binary Tree II/2641.py | {
"start": 0,
"end": 1026
} | class ____:
def replaceValueInTree(self, root: TreeNode | None) -> TreeNode | None:
levelSums = []
def dfs(root: TreeNode | None, level: int) -> None:
if not root:
return
if len(levelSums) == level:
levelSums.append(0)
levelSums[level] += root.val
dfs(root.left, level ... | Solution |
python | astropy__astropy | astropy/modeling/tests/test_fitting_parallel.py | {
"start": 25357,
"end": 33525
} | class ____:
def test_basic(self):
# Make sure that fitting with units works
data = (
gaussian(
np.arange(21)[:, None],
np.array([2, 1.8]),
np.array([5, 10]),
np.array([1, 1.1]),
)
* u.Jy
)
... | TestUnits |
python | astropy__astropy | astropy/time/formats.py | {
"start": 45569,
"end": 50386
} | class ____(TimeUnique):
"""
ymdhms: A Time format to represent Time as year, month, day, hour,
minute, second (thus the name ymdhms).
Acceptable inputs must have keys or column names in the "YMDHMS" set of
``year``, ``month``, ``day`` ``hour``, ``minute``, ``second``:
- Dict with keys in the Y... | TimeYMDHMS |
python | spyder-ide__spyder | spyder/plugins/mainmenu/api.py | {
"start": 3559,
"end": 3826
} | class ____:
Top = 'top_section'
Pane = 'pane_section'
Toolbar = 'toolbar_section'
Layout = 'layout_section'
Bottom = 'bottom_section'
# For backward compat with plugins targeting Spyder <6.1
ViewMenuSections = WindowMenuSections
| WindowMenuSections |
python | pennersr__django-allauth | allauth/socialaccount/providers/vk/provider.py | {
"start": 746,
"end": 1451
} | class ____(OAuth2Provider):
id = "vk"
name = "VK"
account_class = VKAccount
oauth2_adapter_class = VKOAuth2Adapter
pkce_enabled_default = True
def get_default_scope(self):
scope = []
if app_settings.QUERY_EMAIL:
scope.append("email")
return scope
def ext... | VKProvider |
python | huggingface__transformers | src/transformers/models/altclip/modeling_altclip.py | {
"start": 16218,
"end": 17898
} | class ____(nn.Module):
def __init__(self, config):
super().__init__()
self.config = config
self.layer = nn.ModuleList([AltRobertaLayer(config) for i in range(config.num_hidden_layers)])
self.gradient_checkpointing = False
@can_return_tuple
def forward(
self,
... | AltRobertaEncoder |
python | kamyu104__LeetCode-Solutions | Python/convert-sorted-list-to-binary-search-tree.py | {
"start": 292,
"end": 1007
} | class ____(object):
head = None
# @param head, a list node
# @return a tree node
def sortedListToBST(self, head):
current, length = head, 0
while current is not None:
current, length = current.next, length + 1
self.head = head
return self.sortedListToBSTRecu(0... | Solution |
python | tensorflow__tensorflow | tensorflow/python/checkpoint/functional_saver.py | {
"start": 8663,
"end": 28095
} | class ____:
"""Saves checkpoints directly from multiple devices.
Note that this is a low-level utility which stores Tensors in the keys
specified by `SaveableObject`s. Higher-level utilities for object-based
checkpointing are built on top of it.
"""
def __init__(
self,
serialized_tensors: Mapp... | MultiDeviceSaver |
python | run-llama__llama_index | llama-index-integrations/llms/llama-index-llms-mistral-rs/llama_index/llms/mistral_rs/base.py | {
"start": 2837,
"end": 12662
} | class ____(CustomLLM):
r"""
MistralRS LLM.
Examples:
Install `mistralrs` following instructions:
https://github.com/EricLBuehler/mistral.rs/blob/master/mistralrs-pyo3/README.md#installation-from-pypi
Then `pip install llama-index-llms-mistral-rs`
This LLM provides automati... | MistralRS |
python | PrefectHQ__prefect | src/prefect/testing/fixtures.py | {
"start": 8040,
"end": 8290
} | class ____:
connections: int
path: Optional[str]
events: List[Event]
token: Optional[str]
filter: Optional[EventFilter]
def __init__(self):
self.connections = 0
self.path = None
self.events = []
| Recorder |
python | google__pytype | pytype/errors/errors_test.py | {
"start": 437,
"end": 6509
} | class ____(unittest.TestCase):
@errors._error_name(_TEST_ERROR)
def test_init(self):
e = errors.Error(
errors.SEVERITY_ERROR,
_MESSAGE,
filename="foo.py",
line=123,
methodname="foo",
keyword="here",
)
self.assertEqual(errors.SEVERITY_ERROR, e._severity)
... | ErrorTest |
python | apache__airflow | task-sdk/src/airflow/sdk/exceptions.py | {
"start": 4281,
"end": 4551
} | class ____(_AirflowExecuteWithInactiveAssetExecption):
"""Raise when the task is executed with inactive assets in its inlet or outlet."""
main_message = "Task has the following inactive assets in its inlets or outlets"
| AirflowInactiveAssetInInletOrOutletException |
python | django__django | tests/urlpatterns/test_resolvers.py | {
"start": 367,
"end": 863
} | class ____(SimpleTestCase):
def test_str(self):
self.assertEqual(str(RoutePattern(_("translated/"))), "translated/")
def test_has_converters(self):
self.assertEqual(len(RoutePattern("translated/").converters), 0)
self.assertEqual(len(RoutePattern(_("translated/")).converters), 0)
... | RoutePatternTests |
python | django__django | tests/model_options/apps.py | {
"start": 346,
"end": 441
} | class ____(AppConfig):
name = "model_options"
default_auto_field = None
| ModelPKNoneConfig |
python | run-llama__llama_index | llama-index-integrations/embeddings/llama-index-embeddings-vertex-endpoint/llama_index/embeddings/vertex_endpoint/base.py | {
"start": 518,
"end": 6170
} | class ____(BaseEmbedding):
endpoint_id: str = Field(description="Vertex AI endpoint ID")
project_id: str = Field(description="GCP Project ID")
location: str = Field(description="GCP Region for Vertex AI")
endpoint_kwargs: Dict[str, Any] = Field(
default_factory=dict,
description="Additio... | VertexEndpointEmbedding |
python | ray-project__ray | rllib/algorithms/dqn/dqn_catalog.py | {
"start": 392,
"end": 7426
} | class ____(Catalog):
"""The catalog class used to build models for DQN Rainbow.
`DQNCatalog` provides the following models:
- Encoder: The encoder used to encode the observations.
- Target_Encoder: The encoder used to encode the observations
for the target network.
- Af Head... | DQNCatalog |
python | huggingface__transformers | tests/utils/test_model_output.py | {
"start": 6424,
"end": 6920
} | class ____(unittest.TestCase):
def test_direct_model_output(self):
# Check that direct usage of ModelOutput instantiates without errors
ModelOutput({"a": 1.1})
def test_subclass_no_dataclass(self):
# Check that a subclass of ModelOutput without @dataclass is invalid
# A valid su... | ModelOutputSubclassTester |
python | PrefectHQ__prefect | src/integrations/prefect-redis/prefect_redis/messaging.py | {
"start": 1451,
"end": 2236
} | class ____(PrefectBaseSettings):
"""Settings for the Redis messaging publisher.
No settings are required to be set by the user but any of the settings can be
overridden by the user using environment variables.
Example:
```
PREFECT_REDIS_MESSAGING_PUBLISHER_BATCH_SIZE=10
PREFECT... | RedisMessagingPublisherSettings |
python | zarr-developers__zarr-python | src/zarr/codecs/blosc.py | {
"start": 994,
"end": 1176
} | class ____(TypedDict):
"""Configuration for the V2 Blosc codec"""
cname: CName
clevel: int
shuffle: int
blocksize: int
typesize: NotRequired[int]
| BloscConfigV2 |
python | google__jax | jax/_src/numpy/array_methods.py | {
"start": 32629,
"end": 50745
} | class ____:
"""Helper object to call indexed update functions for an (advanced) index.
This object references a source array and a specific indexer into that array.
Methods on this object return copies of the source array that have been
modified at the positions specified by the indexer.
"""
__slots__ = ("... | _IndexUpdateRef |
python | scipy__scipy | scipy/sparse/tests/test_64bit.py | {
"start": 5304,
"end": 6494
} | class ____(RunAll64Bit):
# inheritance of pytest test classes does not separate marks for subclasses.
# So we define these functions in both Array and Matrix versions.
@pytest.mark.parametrize('cls,method_name', cases_64bit("spmatrix"))
def test_resiliency_limit_10(self, cls, method_name):
self.... | Test64BitMatrixSameAsArray |
python | PyCQA__pylint | tests/functional/r/raising/raising_non_exception.py | {
"start": 282,
"end": 378
} | class ____:
"""Not an actual exception."""
raise Exc from missing # [raising-non-exception]
| Exc |
python | spack__spack | var/spack/test_repos/spack_repo/builtin_mock/packages/manyvariants/package.py | {
"start": 217,
"end": 1022
} | class ____(Package):
"""
A package with 4 different variants of different arities to test the
`match_variants` argument to `can_splice`
"""
homepage = "https://www.test.com"
has_code = False
version("2.0.1")
version("2.0.0")
version("1.0.1")
version("1.0.0")
variant("a", d... | Manyvariants |
python | pandas-dev__pandas | pandas/tests/window/test_rolling.py | {
"start": 61725,
"end": 62205
} | class ____(BaseIndexer):
def __init__(self, start, end):
self._start = start
self._end = end
super().__init__()
def get_window_bounds(
self, num_values=None, min_periods=None, center=None, closed=None, step=None
):
if num_values is None:
num_values = len(... | PrescribedWindowIndexer |
python | sqlalchemy__sqlalchemy | lib/sqlalchemy/ext/hybrid.py | {
"start": 62279,
"end": 64567
} | class ____(Comparator[_T]):
def __init__(
self,
cls: Type[Any],
expression: Union[_HasClauseElement[_T], SQLColumnExpression[_T]],
hybrid: hybrid_property[_T],
):
self.cls = cls
self.expression = expression
self.hybrid = hybrid
def __getattr__(self, k... | ExprComparator |
python | pydata__xarray | xarray/core/coordinates.py | {
"start": 1247,
"end": 6049
} | class ____(Mapping[Hashable, "T_DataArray"]):
_data: DataWithCoords
__slots__ = ("_data",)
def __getitem__(self, key: Hashable) -> T_DataArray:
raise NotImplementedError()
@property
def _names(self) -> set[Hashable]:
raise NotImplementedError()
@property
def dims(self) -> ... | AbstractCoordinates |
python | ZoranPandovski__al-go-rithms | data_structures/b_tree/Python/binaryTree.py | {
"start": 108,
"end": 226
} | class ____(object):
def __init__(self,data=None):
self.val = data
self.left = self.right = None
| Node |
python | google__flatbuffers | grpc/examples/python/greeter/server.py | {
"start": 596,
"end": 1554
} | class ____(greeter_grpc_fb.GreeterServicer):
def __init__(self):
self.greetings = ["Hi", "Hallo", "Ciao"]
def SayHello(self, request, context):
r = HelloRequest.HelloRequest().GetRootAs(request, 0)
reply = "Unknown"
if r.Name():
reply = r.Name()
return build_reply("welcome " + reply.deco... | GreeterServicer |
python | pandas-dev__pandas | asv_bench/benchmarks/frame_methods.py | {
"start": 7109,
"end": 7608
} | class ____:
params = [["dict", "list", "series", "split", "records", "index"]]
param_names = ["orient"]
def setup(self, orient):
data = np.random.randint(0, 1000, size=(10000, 4))
self.int_df = DataFrame(data)
self.datetimelike_df = self.int_df.astype("timedelta64[ns]")
def tim... | ToDict |
python | run-llama__llama_index | llama-index-integrations/embeddings/llama-index-embeddings-zhipuai/llama_index/embeddings/zhipuai/base.py | {
"start": 284,
"end": 4007
} | class ____(BaseEmbedding):
"""
ZhipuAI LLM.
Visit https://open.bigmodel.cn to get more information about ZhipuAI.
Examples:
`pip install llama-index-embeddings-zhipuai`
```python
from llama_index.embeddings.zhipuai import ZhipuAIEmbedding
embedding = ZhipuAIEmbedding(... | ZhipuAIEmbedding |
python | pytorch__pytorch | torch/_functorch/_aot_autograd/subclass_parametrization.py | {
"start": 638,
"end": 4124
} | class ____(torch.nn.Module):
def forward(self, *tensors) -> torch.Tensor: # type: ignore[no-untyped-def]
todo: list[torch.Tensor] = list(tensors)
def _unwrap_tensor_subclasses(subclass_meta, tensors, offset): # type: ignore[no-untyped-def]
if subclass_meta is None:
ret... | UnwrapTensorSubclass |
python | pytorch__pytorch | torch/fx/passes/shape_prop.py | {
"start": 3294,
"end": 8326
} | class ____(torch.fx.Interpreter):
"""
Execute an FX graph Node-by-Node and
record the shape and type of the result
into the corresponding node.
Example:
In this example, we record the shape
and data type of a module given
an example input ``torch.randn(50, D_in)``.
... | ShapeProp |
python | doocs__leetcode | solution/0100-0199/0106.Construct Binary Tree from Inorder and Postorder Traversal/Solution.py | {
"start": 192,
"end": 682
} | class ____:
def buildTree(self, inorder: List[int], postorder: List[int]) -> Optional[TreeNode]:
def dfs(i: int, j: int, n: int) -> Optional[TreeNode]:
if n <= 0:
return None
v = postorder[j + n - 1]
k = d[v]
l = dfs(i, j, k - i)
r ... | Solution |
python | google__jax | jax/experimental/pallas/ops/gpu/hopper_mixed_type_matmul_mgpu.py | {
"start": 1218,
"end": 12605
} | class ____:
tile_m: int
tile_n: int
tile_k: int
max_concurrent_steps: int
epi_tile_n: int | None = 64 # This needs to be lowered for for small N.
epi_tile_m: int | None = 64
grid_minor_dim: MatmulDimension = MatmulDimension.N
grid_tile_width: int = 1
wg_dimension: MatmulDimension = MatmulDimension.N
... | TuningConfig |
python | walkccc__LeetCode | solutions/3470. Permutations IV/3470.py | {
"start": 0,
"end": 742
} | class ____:
def permute(self, n: int, k: int) -> list[int]:
ans = []
isLookingForEven = True
remainingNumbers = list(range(1, n + 1))
for turn in range(n):
remainingPermutations = (math.factorial((n - 1 - turn) // 2) *
math.factorial((n - turn) // 2))
found ... | Solution |
python | sqlalchemy__sqlalchemy | test/orm/test_relationships.py | {
"start": 65037,
"end": 66717
} | class ____(fixtures.MappedTest):
@classmethod
def define_tables(cls, metadata):
Table(
"users",
metadata,
Column(
"id", Integer, primary_key=True, test_needs_autoincrement=True
),
Column("name", String(50)),
)
Ta... | BackrefPropagatesForwardsArgs |
python | jazzband__django-simple-history | simple_history/tests/models.py | {
"start": 15749,
"end": 15945
} | class ____(models.Model):
name = models.CharField(max_length=30)
email = models.EmailField(max_length=255, unique=True)
history = HistoricalRecords(table_name="contacts_history")
| Contact |
python | Pylons__pyramid | tests/test_view.py | {
"start": 6035,
"end": 8777
} | class ____(BaseTest, unittest.TestCase):
def _makeOne(self, *args, **kw):
from pyramid.view import exception_view_config
return exception_view_config(*args, **kw)
def test_ctor(self):
inst = self._makeOne(context=Exception, path_info='path_info')
self.assertEqual(
i... | Test_exception_view_config |
python | jmcnamara__XlsxWriter | xlsxwriter/test/comparison/test_autofilter10.py | {
"start": 315,
"end": 2701
} | class ____(ExcelComparisonTest):
"""
Test file created by XlsxWriter against a file created by Excel.
"""
def setUp(self):
self.set_filename("autofilter10.xlsx")
self.set_text_file("autofilter_data.txt")
def test_create_file(self):
"""
Test the creation of a simple... | TestCompareXLSXFiles |
python | pydantic__pydantic | tests/mypy/outputs/mypy-plugin-strict_ini/plugin_fail.py | {
"start": 1787,
"end": 1912
} | class ____(BaseModel, extra=1):
# MYPY: error: Invalid value for "Config.extra" [pydantic-config]
pass
| KwargsBadExtraModel |
python | readthedocs__readthedocs.org | readthedocs/builds/migrations/0021_make_hidden_field_not_null.py | {
"start": 149,
"end": 651
} | class ____(migrations.Migration):
safe = Safe.after_deploy()
dependencies = [
("builds", "0020_migrate_null_hidden_field"),
]
operations = [
migrations.AlterField(
model_name="version",
name="hidden",
field=models.BooleanField(
default... | Migration |
python | coleifer__peewee | tests/models.py | {
"start": 100180,
"end": 110788
} | class ____(ModelTestCase):
requires = [Category]
def setUp(self):
super(TestCTEIntegration, self).setUp()
CC = Category.create
root = CC(name='root')
p1 = CC(name='p1', parent=root)
p2 = CC(name='p2', parent=root)
p3 = CC(name='p3', parent=root)
c11 = CC(... | TestCTEIntegration |
python | sympy__sympy | sympy/stats/random_matrix_models.py | {
"start": 3950,
"end": 4647
} | class ____(GaussianEnsembleModel):
@property
def normalization_constant(self):
n = self.dimension
return 2**(S(n)/2) * pi**(S(n**2)/2)
def density(self, expr):
n, ZGUE = self.dimension, self.normalization_constant
h_pspace = RandomMatrixPSpace('P', model=self)
H = Ra... | GaussianUnitaryEnsembleModel |
python | sympy__sympy | sympy/core/numbers.py | {
"start": 95258,
"end": 96660
} | class ____(IntegerConstant, metaclass=Singleton):
"""The number negative one.
NegativeOne is a singleton, and can be accessed by ``S.NegativeOne``.
Examples
========
>>> from sympy import S, Integer
>>> Integer(-1) is S.NegativeOne
True
See Also
========
One
References
... | NegativeOne |
python | Unity-Technologies__ml-agents | ml-agents-envs/tests/simple_test_envs.py | {
"start": 934,
"end": 10473
} | class ____(BaseEnv):
"""
Very simple "game" - the agent has a position on [-1, 1], gets a reward of 1 if it reaches 1, and a reward of -1 if
it reaches -1. The position is incremented by the action amount (clamped to [-step_size, step_size]).
"""
def __init__(
self,
brain_names,
... | SimpleEnvironment |
python | PrefectHQ__prefect | tests/server/orchestration/api/test_variables.py | {
"start": 21248,
"end": 21857
} | class ____:
async def test_delete_variable(
self,
client: AsyncClient,
variable,
):
res = await client.delete(
f"/variables/name/{variable.name}",
)
assert res.status_code == 204
res = await client.get(
f"/variables/name/{variable.n... | TestDeleteVariableByName |
python | crytic__slither | slither/detectors/statements/deprecated_calls.py | {
"start": 773,
"end": 7788
} | class ____(AbstractDetector):
"""
Use of Deprecated Standards
"""
ARGUMENT = "deprecated-standards"
HELP = "Deprecated Solidity Standards"
IMPACT = DetectorClassification.INFORMATIONAL
CONFIDENCE = DetectorClassification.HIGH
LANGUAGE = "solidity"
WIKI = "https://github.com/crytic/s... | DeprecatedStandards |
python | doocs__leetcode | lcof2/剑指 Offer II 102. 加减的目标值/Solution.py | {
"start": 0,
"end": 581
} | class ____:
def findTargetSumWays(self, nums: List[int], target: int) -> int:
if target < -1000 or target > 1000:
return 0
n = len(nums)
dp = [[0] * 2001 for i in range(n)]
dp[0][nums[0] + 1000] += 1
dp[0][-nums[0] + 1000] += 1
for i in range(1, n):
... | Solution |
python | charliermarsh__ruff | crates/ruff_linter/resources/test/fixtures/flake8_pyi/PYI046.py | {
"start": 90,
"end": 155
} | class ____(typing.Protocol):
bar: int
_T = TypeVar("_T")
| _Bar |
python | jazzband__django-simple-history | simple_history/tests/models.py | {
"start": 9336,
"end": 9568
} | class ____(models.Model):
user = models.ForeignKey(User, on_delete=models.CASCADE)
choice = models.ForeignKey(Choice, on_delete=models.CASCADE, related_name="voters")
def __str__(self):
return "Voter object"
| Voter |
python | ray-project__ray | python/ray/llm/tests/serve/utils/testing_utils.py | {
"start": 403,
"end": 7643
} | class ____:
"""Reusable validation logic for LLM responses."""
@staticmethod
def get_expected_content(
api_type: str, max_tokens: int, lora_model_id: str = ""
) -> str:
"""Get expected content based on API type."""
expected_content = " ".join(f"test_{i}" for i in range(max_token... | LLMResponseValidator |
python | dagster-io__dagster | python_modules/libraries/dagster-k8s/dagster_k8s/executor.py | {
"start": 8650,
"end": 17354
} | class ____(StepHandler):
@property
def name(self):
return "K8sStepHandler"
def __init__(
self,
image: Optional[str],
container_context: K8sContainerContext,
load_incluster_config: bool,
kubeconfig_file: Optional[str],
k8s_client_batch_api=None,
... | K8sStepHandler |
python | keras-team__keras | keras/src/utils/backend_utils_test.py | {
"start": 163,
"end": 1847
} | class ____(testing.TestCase):
@parameterized.named_parameters(
("numpy", "numpy"),
("jax", "jax"),
("tensorflow", "tensorflow"),
("torch", "torch"),
)
def test_dynamic_backend(self, name):
dynamic_backend = backend_utils.DynamicBackend()
x = np.random.uniform(... | BackendUtilsTest |
python | pandas-dev__pandas | pandas/tests/extension/array_with_attr/array.py | {
"start": 702,
"end": 2481
} | class ____(ExtensionArray):
dtype = FloatAttrDtype()
__array_priority__ = 1000
def __init__(self, values, attr=None) -> None:
if not isinstance(values, np.ndarray):
raise TypeError("Need to pass a numpy array of float64 dtype as values")
if not values.dtype == "float64":
... | FloatAttrArray |
python | huggingface__transformers | tests/models/roformer/test_tokenization_roformer.py | {
"start": 880,
"end": 3802
} | class ____(TokenizerTesterMixin, unittest.TestCase):
from_pretrained_id = "junnyu/roformer_chinese_small"
tokenizer_class = RoFormerTokenizer
rust_tokenizer_class = RoFormerTokenizerFast
space_between_special_tokens = True
test_rust_tokenizer = True
@classmethod
def setUpClass(cls):
... | RoFormerTokenizationTest |
python | pytorch__pytorch | test/test_privateuseone_python_backend.py | {
"start": 3411,
"end": 4093
} | class ____(TestCase):
@classmethod
def setupClass(cls):
pass
def test_accessing_is_pinned(self):
a_cpu = torch.randn((2, 2))
# Assert this don't throw:
_ = a_cpu.is_pinned()
def test_backend_simple(self):
a_cpu = torch.randn((2, 2))
b_cpu = torch.randn((... | PrivateUse1BackendTest |
python | scipy__scipy | scipy/cluster/tests/test_hierarchy.py | {
"start": 30028,
"end": 32985
} | class ____:
def test_is_monotonic_empty(self, xp):
# Tests is_monotonic(Z) on an empty linkage.
Z = xp.zeros((0, 4), dtype=xp.float64)
assert_raises(ValueError, is_monotonic, Z)
def test_is_monotonic_1x4(self, xp):
# Tests is_monotonic(Z) on 1x4 linkage. Expecting True.
... | TestIsMonotonic |
python | apache__airflow | providers/qdrant/src/airflow/providers/qdrant/hooks/qdrant.py | {
"start": 1070,
"end": 4938
} | class ____(BaseHook):
"""
Hook for interfacing with a Qdrant instance.
:param conn_id: The connection id to use when connecting to Qdrant. Defaults to `qdrant_default`.
"""
conn_name_attr = "conn_id"
conn_type = "qdrant"
default_conn_name = "qdrant_default"
hook_name = "Qdrant"
@c... | QdrantHook |
python | pytorch__pytorch | test/distributed/tensor/parallel/test_micro_pipeline_tp.py | {
"start": 18500,
"end": 20336
} | class ____(TestCase):
def setUp(self):
torch._inductor.config._micro_pipeline_tp = True
self.rank = 0
self.world_size = 4
torch.cuda.set_device("cuda:0")
store = FakeStore()
dist.init_process_group(
backend="fake",
world_size=self.world_size,... | MicroPipelineTP4GPUTest |
python | lepture__authlib | authlib/deprecate.py | {
"start": 18,
"end": 506
} | class ____(DeprecationWarning):
pass
warnings.simplefilter("always", AuthlibDeprecationWarning)
def deprecate(message, version=None, link_uid=None, link_file=None, stacklevel=3):
if version:
message += f"\nIt will be compatible before version {version}."
if link_uid and link_file:
messa... | AuthlibDeprecationWarning |
python | bokeh__bokeh | src/bokeh/models/mappers.py | {
"start": 9071,
"end": 9952
} | class ____(ContinuousColorMapper):
''' Map numbers in a range [*low*, *high*] into a sequence of colors
(a palette) on a natural logarithm scale.
For example, if the range is [0, 25] and the palette is
``['red', 'green', 'blue']``, the values would be mapped as follows::
x < 0 : 'r... | LogColorMapper |
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