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 | falconry__falcon | tests/test_sinks.py | {
"start": 339,
"end": 650
} | class ____(Sink):
async def __call__(self, req, resp, **kwargs):
super().__call__(req, resp, **kwargs)
def kitchen_sink(req, resp, **kwargs):
resp.set_header('X-Missing-Feature', 'kitchen-sink')
async def async_kitchen_sink(req, resp, **kwargs):
kitchen_sink(req, resp, **kwargs)
| SinkAsync |
python | walkccc__LeetCode | solutions/3129. Find All Possible Stable Binary Arrays I/3129.py | {
"start": 0,
"end": 988
} | class ____:
# Same as 3129. Find All Possible Stable Binary Arrays I
def numberOfStableArrays(self, zero: int, one: int, limit: int) -> int:
MOD = 1_000_000_007
# dp[i][j][k] := the number of stable arrays, where the number of
# occurrences of 0 is i and the number of occurrences of 1 is j and the last
... | Solution |
python | kamyu104__LeetCode-Solutions | Python/smallest-palindromic-rearrangement-i.py | {
"start": 71,
"end": 534
} | class ____(object):
def smallestPalindrome(self, s):
"""
:type s: str
:rtype: str
"""
cnt = [0]*26
for i in xrange(len(s)//2):
cnt[ord(s[i])-ord('a')] += 1
result = [chr(ord('a')+i)*c for i, c in enumerate(cnt)]
if len(s)%2:
res... | Solution |
python | kamyu104__LeetCode-Solutions | Python/lucky-numbers-in-a-matrix.py | {
"start": 56,
"end": 474
} | class ____(object):
def luckyNumbers (self, matrix):
"""
:type matrix: List[List[int]]
:rtype: List[int]
"""
rows = map(min, matrix)
cols = map(max, itertools.izip(*matrix))
return [cell for i, row in enumerate(matrix)
for j, cell in enume... | Solution |
python | fluentpython__example-code | 19-dyn-attr-prop/oscon/schedule2.py | {
"start": 814,
"end": 1125
} | class ____:
def __init__(self, **kwargs):
self.__dict__.update(kwargs)
def __eq__(self, other): # <3>
if isinstance(other, Record):
return self.__dict__ == other.__dict__
else:
return NotImplemented
# END SCHEDULE2_RECORD
# BEGIN SCHEDULE2_DBRECORD
| Record |
python | jazzband__django-pipeline | tests/tests/test_collector.py | {
"start": 347,
"end": 2281
} | class ____(TestCase):
def tearDown(self):
super().tearDown()
default_collector.clear()
def test_collect(self):
self.assertEqual(
set(default_collector.collect()), set(self._get_collectable_files())
)
def test_collect_with_files(self):
self.assertEqual(
... | CollectorTest |
python | sqlalchemy__sqlalchemy | test/engine/test_processors.py | {
"start": 4263,
"end": 8763
} | class ____(fixtures.TestBase):
def test_distill_20_none(self):
eq_(self.module._distill_params_20(None), ())
def test_distill_20_empty_sequence(self):
with expect_deprecated(
r"Empty parameter sequence passed to execute\(\). "
"This use is deprecated and will raise an ex... | _DistillArgsTest |
python | huggingface__transformers | src/transformers/models/convnextv2/modeling_convnextv2.py | {
"start": 2524,
"end": 3359
} | class ____(nn.Module):
"""GRN (Global Response Normalization) layer"""
def __init__(self, dim: int):
super().__init__()
self.weight = nn.Parameter(torch.zeros(1, 1, 1, dim))
self.bias = nn.Parameter(torch.zeros(1, 1, 1, dim))
def forward(self, hidden_states: torch.FloatTensor) -> t... | ConvNextV2GRN |
python | kubernetes-client__python | kubernetes/client/models/v1_network_policy_spec.py | {
"start": 383,
"end": 9596
} | 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... | V1NetworkPolicySpec |
python | apache__airflow | providers/amazon/src/airflow/providers/amazon/aws/sensors/bedrock.py | {
"start": 12256,
"end": 15905
} | class ____(BedrockBaseSensor[BedrockAgentHook]):
"""
Poll the ingestion job status until it reaches a terminal state; fails if creation fails.
.. seealso::
For more information on how to use this sensor, take a look at the guide:
:ref:`howto/sensor:BedrockIngestionJobSensor`
:param kno... | BedrockIngestionJobSensor |
python | django-import-export__django-import-export | tests/core/admin.py | {
"start": 2497,
"end": 2579
} | class ____(ModelResource):
class Meta:
model = UUIDBook
| UUIDBookResource |
python | kamyu104__LeetCode-Solutions | Python/number-of-ways-to-split-array.py | {
"start": 42,
"end": 364
} | class ____(object):
def waysToSplitArray(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
total = sum(nums)
result = curr = 0
for i in xrange(len(nums)-1):
curr += nums[i]
result += int(curr >= total-curr)
return result
| Solution |
python | allegroai__clearml | clearml/automation/job.py | {
"start": 19432,
"end": 27530
} | class ____(BaseJob):
def __init__(
self,
base_task_id: str,
parameter_override: Optional[Mapping[str, str]] = None,
task_overrides: Optional[Mapping[str, str]] = None,
configuration_overrides: Optional[Mapping[str, Union[str, Mapping]]] = None,
tags: Optional[Sequence... | ClearmlJob |
python | allegroai__clearml | clearml/utilities/process/mp.py | {
"start": 5714,
"end": 6498
} | class ____(_ForkSafeThreadSyncObject):
def __init__(self) -> None:
super(ForkQueue, self).__init__(TrQueue)
def get(self, *args: Any, **kwargs: Any) -> Any:
self._create()
return self._sync.get(*args, **kwargs)
def put(self, *args: Any, **kwargs: Any) -> None:
self._create(... | ForkQueue |
python | apache__airflow | airflow-core/tests/unit/always/test_project_structure.py | {
"start": 22451,
"end": 37720
} | class ____(ExampleCoverageTest, AssetsCoverageTest):
PROVIDER = "google"
CLASS_DIRS = ProjectStructureTest.CLASS_DIRS | {"operators/vertex_ai"}
DEPRECATED_CLASSES = {
"airflow.providers.google.cloud.operators.cloud_storage_transfer_service"
".CloudDataTransferServiceS3ToGCSOperator",
... | TestGoogleProviderProjectStructure |
python | charliermarsh__ruff | crates/ruff_linter/resources/test/fixtures/pyupgrade/UP046_0.py | {
"start": 2449,
"end": 2613
} | class ____[U]:
def more_generic(u: U, t: T) -> tuple[U, T]:
return (u, t)
# default requires 3.13
V = TypeVar("V", default=Any, bound=str)
| MixedGenerics |
python | ray-project__ray | python/ray/experimental/channel/torch_tensor_accelerator_channel.py | {
"start": 1552,
"end": 15266
} | class ____(ChannelInterface):
def __init__(
self,
writer: ray.actor.ActorHandle,
reader_and_node_list: List[Tuple["ray.actor.ActorHandle", str]],
typ: "TorchTensorType",
driver_actor_id: str,
tensor_metadata_channel: Optional["Channel"] = None,
_cpu_data_chann... | TorchTensorAcceleratorChannel |
python | huggingface__transformers | src/transformers/models/instructblip/modeling_instructblip.py | {
"start": 12480,
"end": 13665
} | class ____(PreTrainedModel):
config: InstructBlipConfig
base_model_prefix = "blip"
input_modalities = ("image", "text")
supports_gradient_checkpointing = True
_supports_attention_backend = True
_supports_flash_attn = True
_supports_sdpa = True
_supports_flex_attn = True
_can_compile... | InstructBlipPreTrainedModel |
python | bokeh__bokeh | src/bokeh/models/glyphs.py | {
"start": 29626,
"end": 30439
} | class ____(Glyph, LineGlyph):
''' Render several lines.
The data for the ``MultiLine`` glyph is different in that the vector of
values is not a vector of scalars. Rather, it is a "list of lists".
'''
# explicit __init__ to support Init signatures
def __init__(self, *args: Any, **kwargs: Any) ... | MultiLine |
python | scrapy__scrapy | tests/test_utils_spider.py | {
"start": 214,
"end": 807
} | class ____(Spider):
name = "myspider2"
def test_iterate_spider_output():
i = Item()
r = Request("http://scrapytest.org")
o = object()
assert list(iterate_spider_output(i)) == [i]
assert list(iterate_spider_output(r)) == [r]
assert list(iterate_spider_output(o)) == [o]
assert list(iter... | MySpider2 |
python | PrefectHQ__prefect | src/prefect/client/schemas/objects.py | {
"start": 31962,
"end": 32867
} | class ____(ObjectBaseModel):
"""An ORM representation of a block type"""
name: Name = Field(default=..., description="A block type's name")
slug: str = Field(default=..., description="A block type's slug")
logo_url: Optional[HttpUrl] = Field(
default=None, description="Web URL for the block typ... | BlockType |
python | scipy__scipy | benchmarks/benchmarks/sparse.py | {
"start": 18507,
"end": 19199
} | class ____(Benchmark):
param_names = ['sparse_type', 'density', 'format', 'explicit']
params = [
['spmatrix', 'sparray'],
[0.01, 0.1, 0.5],
['csr', 'csc', 'coo'],
[True, False],
]
def setup(self, sparse_type, density, format, explicit):
n = 1000
warnings... | Argmax |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-github/source_github/github_schema.py | {
"start": 13556,
"end": 14001
} | class ____(sgqlc.types.Enum):
"""Properties by which discussion poll option connections can be
ordered.
Enumeration Choices:
* `AUTHORED_ORDER`: Order poll options by the order that the poll
author specified when creating the poll.
* `VOTE_COUNT`: Order poll options by the number of votes it... | DiscussionPollOptionOrderField |
python | run-llama__llama_index | llama-index-integrations/sparse_embeddings/llama-index-sparse-embeddings-fastembed/llama_index/sparse_embeddings/fastembed/base.py | {
"start": 360,
"end": 3931
} | class ____(BaseSparseEmbedding):
"""
Qdrant FastEmbedding Sparse models.
FastEmbed is a lightweight, fast, Python library built for embedding generation.
See more documentation at:
* https://github.com/qdrant/fastembed/
* https://qdrant.github.io/fastembed/.
To use this class, you must inst... | FastEmbedSparseEmbedding |
python | scipy__scipy | scipy/stats/tests/test_stats.py | {
"start": 283595,
"end": 288089
} | class ____:
@pytest.mark.filterwarnings(
"ignore:divide by zero encountered in log:RuntimeWarning:dask"
)
def test_0(self, xp):
a = [1, 0, 2]
desired = 0
check_equal_gmean(a, desired, xp=xp)
def test_1d(self, xp):
# Test a 1d case
a = [10, 20, 30, 40, 50... | TestGMean |
python | gevent__gevent | src/greentest/3.14/test_signal.py | {
"start": 43781,
"end": 51424
} | class ____(unittest.TestCase):
"""
Stress signal delivery, especially when a signal arrives in
the middle of recomputing the signal state or executing
previously tripped signal handlers.
"""
def setsig(self, signum, handler):
old_handler = signal.signal(signum, handler)
self.add... | StressTest |
python | anthropics__anthropic-sdk-python | src/anthropic/resources/beta/messages/batches.py | {
"start": 35507,
"end": 36116
} | class ____:
def __init__(self, batches: AsyncBatches) -> None:
self._batches = batches
self.create = async_to_streamed_response_wrapper(
batches.create,
)
self.retrieve = async_to_streamed_response_wrapper(
batches.retrieve,
)
self.list = asyn... | AsyncBatchesWithStreamingResponse |
python | langchain-ai__langchain | libs/core/langchain_core/runnables/passthrough.py | {
"start": 10210,
"end": 20852
} | class ____(RunnableSerializable[dict[str, Any], dict[str, Any]]):
"""Runnable that assigns key-value pairs to `dict[str, Any]` inputs.
The `RunnableAssign` class takes input dictionaries and, through a
`RunnableParallel` instance, applies transformations, then combines
these with the original data, int... | RunnableAssign |
python | dagster-io__dagster | examples/docs_projects/project_mini/src/project_mini/defs/dynamic_fanout/dynamic_fanout.py | {
"start": 280,
"end": 9773
} | class ____(dg.Config):
input_data_path: str
processing_threshold: float = 0.5
# Helper functions for your domain logic
def extract_processing_units(record: dict[str, Any]) -> list[dict[str, Any]]:
"""Extract 10-30 processing units from a single data record."""
# Replace with your actual unit extractio... | DataProcessingConfig |
python | kamyu104__LeetCode-Solutions | Python/kth-largest-sum-in-a-binary-tree.py | {
"start": 158,
"end": 1881
} | class ____(object):
def kthLargestLevelSum(self, root, k):
"""
:type root: Optional[TreeNode]
:type k: int
:rtype: int
"""
def nth_element(nums, n, left=0, compare=lambda a, b: a < b):
def tri_partition(nums, left, right, target, compare):
... | Solution |
python | ray-project__ray | python/ray/train/tests/test_iter_torch_batches_gpu.py | {
"start": 6681,
"end": 6930
} | class ____(TuplePandasBatchCollateFn):
"""Collate function that returns id and value as a list of tensors."""
def __call__(self, batch: pd.DataFrame) -> List[torch.Tensor]:
return list(super().__call__(batch))
| ListPandasBatchCollateFn |
python | pytorch__pytorch | torch/distributed/pipelining/_utils.py | {
"start": 1114,
"end": 4505
} | class ____(RuntimeError):
"""Shape mismatch between configured and runtime values."""
def validate_tensor_metadata(desc, expected, given):
if not expected.shape == given.shape:
raise PipeliningShapeError(
f"{desc} has a shape mismatch: expected {expected.shape} actual {given.shape}"
... | PipeliningShapeError |
python | django__django | tests/builtin_server/tests.py | {
"start": 1668,
"end": 2263
} | class ____(ServerHandler):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.request_handler = DummyHandler()
self._used_sendfile = False
def sendfile(self):
self._used_sendfile = True
return True
def wsgi_app(environ, start_response):
sta... | FileWrapperHandler |
python | pypa__installer | tests/test_records.py | {
"start": 6741,
"end": 9568
} | class ____:
def test_accepts_empty_iterable(self):
list(parse_record_file([]))
@pytest.mark.parametrize(
"record_input",
["record_simple_list", "record_simple_iter", "record_simple_file"],
indirect=True,
)
def test_accepts_all_kinds_of_iterables(self, record_input):
... | TestParseRecordFile |
python | facebook__pyre-check | client/coverage_data.py | {
"start": 2281,
"end": 2422
} | class ____(str, Enum):
UNSAFE = "UNSAFE"
STRICT = "STRICT"
IGNORE_ALL = "IGNORE_ALL"
@dataclasses.dataclass(frozen=True)
| ModuleMode |
python | Textualize__rich | rich/markdown.py | {
"start": 5983,
"end": 6297
} | class ____(MarkdownElement):
"""A horizontal rule to divide sections."""
new_line = False
def __rich_console__(
self, console: Console, options: ConsoleOptions
) -> RenderResult:
style = console.get_style("markdown.hr", default="none")
yield Rule(style=style)
| HorizontalRule |
python | pytorch__pytorch | torch/onnx/_internal/fx/passes/type_promotion.py | {
"start": 8954,
"end": 11193
} | class ____(TypePromotionRule):
def __init__(
self,
namespace: str,
op_name: str,
promotion_kind: _prims_common.REDUCTION_OUTPUT_TYPE_KIND,
) -> None:
"""Constructs a TypePromotionRule for reduction operators.
Args:
namespace: Namespace of the op. E.g.... | ReductionTypePromotionRule |
python | doocs__leetcode | solution/0300-0399/0307.Range Sum Query - Mutable/Solution.py | {
"start": 0,
"end": 397
} | class ____:
__slots__ = ["n", "c"]
def __init__(self, n):
self.n = n
self.c = [0] * (n + 1)
def update(self, x: int, delta: int):
while x <= self.n:
self.c[x] += delta
x += x & -x
def query(self, x: int) -> int:
s = 0
while x > 0:
... | BinaryIndexedTree |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-github/source_github/github_schema.py | {
"start": 311965,
"end": 312732
} | class ____(sgqlc.types.Input):
"""Autogenerated input type of TransferEnterpriseOrganization"""
__schema__ = github_schema
__field_names__ = ("organization_id", "destination_enterprise_id", "client_mutation_id")
organization_id = sgqlc.types.Field(sgqlc.types.non_null(ID), graphql_name="organizationId"... | TransferEnterpriseOrganizationInput |
python | dagster-io__dagster | python_modules/libraries/dagster-cloud-cli/dagster_cloud_cli/core/pex_builder/deps.py | {
"start": 1728,
"end": 6550
} | class ____:
local_package_paths: list[str]
def local_path_for(line: str, relative_to: str) -> Optional[str]:
# Return the abspath for a local package, iff this line points to a local package,
# otherwise return None.
# This handles relative or absolute paths specified in requirements.txt,
# eg "..... | LocalPackages |
python | kamyu104__LeetCode-Solutions | Python/kth-smallest-path-xor-sum.py | {
"start": 1939,
"end": 3185
} | class ____(object):
def kthSmallest(self, par, vals, queries):
"""
:type par: List[int]
:type vals: List[int]
:type queries: List[List[int]]
:rtype: List[int]
"""
def small_to_large_merge(sl1, sl2): # Total Time: O(n * (logn)^2)
if len(sl1) < len(... | Solution2 |
python | django__django | tests/csrf_tests/tests.py | {
"start": 58130,
"end": 58761
} | class ____(CsrfFunctionTestMixin, SimpleTestCase):
def test_csrf_token_on_404_stays_constant(self):
response = self.client.get("/does not exist/")
# The error handler returns status code 599.
self.assertEqual(response.status_code, 599)
response.charset = "ascii"
token1 = resp... | CsrfInErrorHandlingViewsTests |
python | microsoft__pyright | packages/pyright-internal/src/tests/samples/type1.py | {
"start": 3156,
"end": 3298
} | class ____:
x1: type
x2: type[Any]
reveal_type(Class2.x1, expected_text="type")
reveal_type(Class2.x2, expected_text="type[Any]")
| Class2 |
python | milvus-io__pymilvus | pymilvus/client/types.py | {
"start": 13034,
"end": 18543
} | class ____:
"""enum states of bulk insert task"""
ImportPending = 0
ImportFailed = 1
ImportStarted = 2
ImportPersisted = 5
ImportCompleted = 6
ImportFailedAndCleaned = 7
ImportUnknownState = 100
"""pre-defined keys of bulk insert task info"""
FAILED_REASON = "failed_reason"
... | BulkInsertState |
python | PyCQA__pylint | pylint/checkers/symilar.py | {
"start": 27262,
"end": 33937
} | class ____(BaseRawFileChecker, Symilar):
"""Checks for similarities and duplicated code.
This computation may be memory / CPU intensive, so you
should disable it if you experience some problems.
"""
name = "similarities"
msgs = MSGS
MIN_SIMILARITY_HELP = "Minimum lines number of a similari... | SimilaritiesChecker |
python | run-llama__llama_index | llama-index-packs/llama-index-packs-code-hierarchy/llama_index/packs/code_hierarchy/code_hierarchy.py | {
"start": 604,
"end": 1295
} | class ____(BaseModel):
"""
Unfortunately some languages need special options for how to make a signature.
For example, html element signatures should include their closing >, there is no
easy way to include this using an always-exclusive system.
However, using an always-inclusive system, python de... | _SignatureCaptureType |
python | dagster-io__dagster | python_modules/dagster/dagster/_daemon/run_coordinator/queued_run_coordinator_daemon.py | {
"start": 1423,
"end": 20211
} | class ____(IntervalDaemon):
"""Used with the QueuedRunCoordinator on the instance. This process finds queued runs from the run
store and launches them.
"""
def __init__(self, interval_seconds, page_size=PAGE_SIZE) -> None:
self._exit_stack = ExitStack()
self._executor: Optional[ThreadPo... | QueuedRunCoordinatorDaemon |
python | matplotlib__matplotlib | lib/matplotlib/backends/_backend_tk.py | {
"start": 44284,
"end": 44486
} | class ____(backend_tools.ConfigureSubplotsBase):
def trigger(self, *args):
NavigationToolbar2Tk.configure_subplots(self)
@backend_tools._register_tool_class(FigureCanvasTk)
| ConfigureSubplotsTk |
python | tensorflow__tensorflow | tensorflow/python/kernel_tests/linalg/linear_operator_full_matrix_test.py | {
"start": 1292,
"end": 4930
} | class ____(
linear_operator_test_util.SquareLinearOperatorDerivedClassTest):
"""Most tests done in the base class LinearOperatorDerivedClassTest."""
def operator_and_matrix(
self, build_info, dtype, use_placeholder,
ensure_self_adjoint_and_pd=False):
shape = list(build_info.shape)
matrix =... | SquareLinearOperatorFullMatrixTest |
python | kamyu104__LeetCode-Solutions | Python/minimum-space-wasted-from-packaging.py | {
"start": 65,
"end": 752
} | class ____(object):
def minWastedSpace(self, packages, boxes):
"""
:type packages: List[int]
:type boxes: List[List[int]]
:rtype: int
"""
MOD = 10**9+7
INF = float("inf")
packages.sort()
result = INF
for box in boxes:
box.s... | Solution |
python | google__jax | tests/mosaic/gpu_dialect_test.py | {
"start": 3348,
"end": 38737
} | class ____(MosaicGpuTest):
def test_dialect_module_is_loaded(self):
self.assertTrue(_cext.globals._check_dialect_module_loaded("mosaic_gpu"))
def test_initialize_barrier_op_arrival_count_must_be_strictly_positive(self):
with ir.InsertionPoint(self.module.body):
mgpu.dialect.initialize_barrier(
... | DialectTest |
python | readthedocs__readthedocs.org | readthedocs/core/unresolver.py | {
"start": 1890,
"end": 2054
} | class ____(UnresolverError):
def __init__(self, project, language):
self.project = project
self.language = language
| TranslationWithoutVersionError |
python | TheAlgorithms__Python | linear_programming/simplex.py | {
"start": 493,
"end": 11830
} | class ____:
"""Operate on simplex tableaus
>>> Tableau(np.array([[-1,-1,0,0,1],[1,3,1,0,4],[3,1,0,1,4]]), 2, 2)
Traceback (most recent call last):
...
TypeError: Tableau must have type float64
>>> Tableau(np.array([[-1,-1,0,0,-1],[1,3,1,0,4],[3,1,0,1,4.]]), 2, 2)
Traceback (most recent cal... | Tableau |
python | great-expectations__great_expectations | contrib/great_expectations_semantic_types_expectations/great_expectations_semantic_types_expectations/expectations/expect_column_values_ip_is_not_blacklisted.py | {
"start": 859,
"end": 1861
} | class ____(ColumnMapMetricProvider):
# This is the id string that will be used to reference your metric.
condition_metric_name = "column_values.ip_is_not_blacklisted"
# This method implements the core logic for the PandasExecutionEngine
@column_condition_partial(engine=PandasExecutionEngine)
def _p... | ColumnValuesIpIsNotBlacklisted |
python | dagster-io__dagster | python_modules/dagster/dagster/_core/definitions/partitions/utils/multi.py | {
"start": 3502,
"end": 3997
} | class ____(
NamedTuple("_PartitionDimensionKey", [("dimension_name", str), ("partition_key", str)])
):
"""Representation of a single dimension of a multi-dimensional partition key."""
def __new__(cls, dimension_name: str, partition_key: str):
return super().__new__(
cls,
dim... | PartitionDimensionKey |
python | tensorflow__tensorflow | tensorflow/python/keras/callbacks.py | {
"start": 32875,
"end": 34420
} | class ____(Callback):
"""Callback that accumulates epoch averages of metrics.
This callback is automatically applied to every Keras model.
Args:
stateful_metrics: Iterable of string names of metrics that
should *not* be averaged over an epoch.
Metrics in this list will be logged as-is ... | BaseLogger |
python | apache__airflow | providers/standard/tests/unit/standard/triggers/test_file.py | {
"start": 1009,
"end": 2381
} | class ____:
FILE_PATH = "/files/dags/example_async_file.py"
def test_serialization(self):
"""Asserts that the trigger correctly serializes its arguments and classpath."""
trigger = FileTrigger(filepath=self.FILE_PATH, poll_interval=5)
classpath, kwargs = trigger.serialize()
asse... | TestFileTrigger |
python | tensorflow__tensorflow | tensorflow/python/distribute/failure_handling/failure_handling.py | {
"start": 3219,
"end": 8307
} | class ____(object):
"""Customization of `PreemptionCheckpointHandler` for various platforms.
A `TerminationConfig` can be created and passed to a
`tf.distribute.experimental.PreemptionCheckpointHandler` to provide
customization based on the platform. It can deliver three pieces of
information:
* How to de... | TerminationConfig |
python | kamyu104__LeetCode-Solutions | Python/number-of-steps-to-reduce-a-number-in-binary-representation-to-one.py | {
"start": 29,
"end": 438
} | class ____(object):
def numSteps(self, s):
"""
:type s: str
:rtype: int
"""
result, carry = 0, 0
for i in reversed(xrange(1, len(s))):
if int(s[i]) + carry == 1:
carry = 1 # once it was set, it would keep carrying forever
r... | Solution |
python | more-itertools__more-itertools | tests/test_more.py | {
"start": 22843,
"end": 24478
} | class ____(TestCase):
"""Tests for intersperse()"""
def test_even(self):
iterable = (x for x in '01')
self.assertEqual(
list(mi.intersperse(None, iterable)), ['0', None, '1']
)
def test_odd(self):
iterable = (x for x in '012')
self.assertEqual(
... | IntersperseTest |
python | getsentry__sentry | tests/sentry/integrations/msteams/webhook/test_ms_teams_webhook_endpoint.py | {
"start": 2978,
"end": 3435
} | class ____(TestCase):
def test_has_all_handlers(self) -> None:
instance = MsTeamsWebhookEndpoint()
assert len(instance._event_handlers) == 4
assert MsTeamsEvents.INSTALLATION_UPDATE in instance._event_handlers
assert MsTeamsEvents.UNKNOWN in instance._event_handlers
assert Ms... | TestEventHandler |
python | spyder-ide__spyder | spyder/plugins/preferences/tests/conftest.py | {
"start": 843,
"end": 2368
} | class ____(QMainWindow):
register_shortcut = Mock()
def __init__(self, parent):
super().__init__(parent)
self.default_style = None
self.widgetlist = []
self.thirdparty_plugins = []
self.shortcut_data = []
self.prefs_dialog_instance = None
self._APPLICATIO... | MainWindowMock |
python | django-haystack__django-haystack | test_haystack/test_loading.py | {
"start": 8376,
"end": 15245
} | class ____(TestCase):
def setUp(self):
super().setUp()
self.ui = loading.UnifiedIndex()
self.ui.build([])
def test_get_index(self):
self.assertRaises(NotHandled, self.ui.get_index, MockModel)
try:
self.ui.get_index(MockModel)
except NotHandled as e:
... | UnifiedIndexTestCase |
python | huggingface__transformers | src/transformers/modeling_outputs.py | {
"start": 60574,
"end": 62286
} | class ____(ModelOutput):
"""
Base class for outputs of models predicting if two sentences are consecutive or not.
Args:
loss (`torch.FloatTensor` of shape `(1,)`, *optional*, returned when `next_sentence_label` is provided):
Next sequence prediction (classification) loss.
logits... | NextSentencePredictorOutput |
python | huggingface__transformers | src/transformers/models/granite_speech/modeling_granite_speech.py | {
"start": 10543,
"end": 11566
} | class ____(nn.Module):
"""Conformer block, consisting largely of linear layers, attention, and convolutional layers."""
def __init__(self, config: GraniteSpeechEncoderConfig):
super().__init__()
self.ff1 = GraniteSpeechConformerFeedForward(config)
self.attn = GraniteSpeechConformerAtten... | GraniteSpeechConformerBlock |
python | pandas-dev__pandas | pandas/tests/arrays/test_datetimelike.py | {
"start": 35927,
"end": 46924
} | class ____(SharedTests):
index_cls = PeriodIndex
array_cls = PeriodArray
scalar_type = Period
example_dtype = PeriodIndex([], freq="W").dtype
@pytest.fixture
def arr1d(self, period_index):
"""
Fixture returning DatetimeArray from parametrized PeriodIndex objects
"""
... | TestPeriodArray |
python | getlogbook__logbook | tests/conftest.py | {
"start": 1401,
"end": 2455
} | class ____:
def __init__(self, path):
self.path = path
def __fspath__(self):
return self.path
@pytest.fixture(params=[Path, str, CustomPathLike])
def logfile(tmp_path, request):
path = str(tmp_path / "logfile.log")
return request.param(path)
@pytest.fixture
def default_handler(reque... | CustomPathLike |
python | has2k1__plotnine | plotnine/themes/themeable.py | {
"start": 65305,
"end": 65391
} | class ____(legend_key_spacing):
pass
@deprecated_themeable_name
| legend_entry_spacing |
python | scipy__scipy | benchmarks/benchmarks/test_functions.py | {
"start": 4366,
"end": 5494
} | class ____:
target_E = -19.2085
solution = [8.05502, 9.66459]
xmin = np.array([-10, -10])
xmax = np.array([10, 10])
stepsize = 2.
temperature = 2.
def fun(self, x):
return - abs(sin(x[0]) * cos(x[1]) * exp(abs(1. - sqrt(x[0]**2 +
x[1]**2) / pi)))
def dabs(s... | HolderTable |
python | pypa__setuptools | setuptools/_vendor/more_itertools/more.py | {
"start": 128554,
"end": 148370
} | class ____:
"""Wrap *iterable* and keep a count of how many items have been consumed.
The ``items_seen`` attribute starts at ``0`` and increments as the iterable
is consumed:
>>> iterable = map(str, range(10))
>>> it = countable(iterable)
>>> it.items_seen
0
>>> nex... | countable |
python | pydata__xarray | xarray/core/utils.py | {
"start": 17388,
"end": 18617
} | class ____(Mapping[K, V]):
"""Implements the Mapping interface. Uses the wrapped mapping for item lookup
and a separate wrapped keys collection for iteration.
Can be used to construct a mapping object from another dict-like object without
eagerly accessing its items or when a mapping object is expected... | FilteredMapping |
python | redis__redis-py | redis/commands/json/__init__.py | {
"start": 4757,
"end": 4845
} | class ____(JSONCommands, redis.client.Pipeline):
"""Pipeline for the module."""
| Pipeline |
python | scrapy__scrapy | tests/test_utils_curl.py | {
"start": 178,
"end": 10182
} | class ____:
@staticmethod
def _test_command(curl_command: str, expected_result: dict[str, Any]) -> None:
result = curl_to_request_kwargs(curl_command)
assert result == expected_result
try:
Request(**result)
except TypeError as e:
pytest.fail(f"Request kwar... | TestCurlToRequestKwargs |
python | django__django | tests/admin_views/models.py | {
"start": 17308,
"end": 17430
} | class ____(models.Model):
datum = models.DateField()
employee = models.ForeignKey(Employee, models.CASCADE)
| WorkHour |
python | openai__openai-python | src/openai/types/responses/response_input_item.py | {
"start": 2877,
"end": 3779
} | class ____(BaseModel):
call_id: str
"""The ID of the computer tool call that produced the output."""
output: ResponseComputerToolCallOutputScreenshot
"""A computer screenshot image used with the computer use tool."""
type: Literal["computer_call_output"]
"""The type of the computer tool call o... | ComputerCallOutput |
python | PrefectHQ__prefect | tests/server/utilities/test_text_search_parser.py | {
"start": 18206,
"end": 19364
} | class ____:
"""Test the TextSearchQuery dataclass itself"""
def test_dataclass_creation(self):
query = TextSearchQuery(
include=["term1", "term2"], exclude=["excluded"], required=["required"]
)
assert query.include == ["term1", "term2"]
assert query.exclude == ["excl... | TestDataclassStructure |
python | cython__cython | Cython/Debugger/libpython.py | {
"start": 83748,
"end": 83883
} | class ____(ExecutionControlCommandBase):
"Run the program."
invoke = dont_suppress_errors(ExecutionControlCommandBase.run)
| PyRun |
python | pytorch__pytorch | test/quantization/fx/test_numeric_suite_fx.py | {
"start": 30867,
"end": 32474
} | class ____(QuantizationTestCase):
@skipIfTorchDynamo("too slow")
@skipIfNoFBGEMM
@skip_if_no_torchvision
def test_mobilenet_v2(self):
# verify that mobilenetv2 graph is able to be matched
import torchvision
m = torchvision.models.__dict__['mobilenet_v2'](pretrained=False).eval()... | TestFXGraphMatcherModels |
python | pytorch__pytorch | torch/testing/_internal/distributed/common_state_dict.py | {
"start": 457,
"end": 4665
} | class ____:
def _compare_tensor(self, orig_tensor, dist_tensor, offload_to_cpu=False):
if isinstance(dist_tensor, (DTensor, ShardedTensor)):
dist_tensor = _gather_state_dict({"mykey": dist_tensor}).pop("mykey")
if offload_to_cpu:
orig_tensor = orig_tensor.cpu()
d... | VerifyStateDictMixin |
python | pypa__setuptools | setuptools/_vendor/typing_extensions.py | {
"start": 2602,
"end": 4660
} | class ____:
def __repr__(self):
return "<sentinel>"
_marker = _Sentinel()
if sys.version_info >= (3, 10):
def _should_collect_from_parameters(t):
return isinstance(
t, (typing._GenericAlias, _types.GenericAlias, _types.UnionType)
)
elif sys.version_info >= (3, 9):
def... | _Sentinel |
python | pandas-dev__pandas | asv_bench/benchmarks/frame_methods.py | {
"start": 13510,
"end": 13915
} | class ____:
params = ["float64", "Float64", "float64[pyarrow]"]
param_names = ["dtype"]
def setup(self, dtype):
data = np.random.randn(10000, 1000)
# all-na columns
data[:, 600:800] = np.nan
# partial-na columns
data[800:1000, 4000:5000] = np.nan
self.df = Da... | Isna |
python | EpistasisLab__tpot | tpot/search_spaces/base.py | {
"start": 3640,
"end": 6634
} | class ____():
def __init__(self,):
pass
def generate(self, rng=None) -> SklearnIndividual:
pass
def flatten_graphpipeline(est):
flattened_full_graph = est.graph.copy()
#put ests into the node label from the attributes
flattened_full_graph = nx.relabel_nodes(flattened_full_graph,... | SearchSpace |
python | huggingface__transformers | src/transformers/models/dinov2_with_registers/modeling_dinov2_with_registers.py | {
"start": 1964,
"end": 3552
} | class ____(nn.Module):
"""
This class turns `pixel_values` of shape `(batch_size, num_channels, height, width)` into the initial
`hidden_states` (patch embeddings) of shape `(batch_size, seq_length, hidden_size)` to be consumed by a
Transformer.
"""
def __init__(self, config):
super()._... | Dinov2WithRegistersPatchEmbeddings |
python | sympy__sympy | sympy/assumptions/predicates/ntheory.py | {
"start": 1999,
"end": 2546
} | class ____(Predicate):
"""
Odd number predicate.
Explanation
===========
``ask(Q.odd(x))`` is true iff ``x`` belongs to the set of odd numbers.
Examples
========
>>> from sympy import Q, ask, pi
>>> ask(Q.odd(0))
False
>>> ask(Q.odd(2))
False
>>> ask(Q.odd(3))
... | OddPredicate |
python | redis__redis-py | tests/test_asyncio/test_pubsub.py | {
"start": 22777,
"end": 24411
} | class ____:
@pytest.mark.onlynoncluster
@skip_if_server_version_lt("2.8.0")
async def test_pubsub_channels(self, r: redis.Redis, pubsub):
p = pubsub
await p.subscribe("foo", "bar", "baz", "quux")
for i in range(4):
assert (await wait_for_message(p))["type"] == "subscribe"... | TestPubSubSubcommands |
python | microsoft__pyright | packages/pyright-internal/src/tests/samples/constructor32.py | {
"start": 468,
"end": 546
} | class ____(type):
def __call__(cls: type[T], x: int, y: str) -> T: ...
| BMeta |
python | pennersr__django-allauth | tests/apps/socialaccount/providers/battlenet/tests.py | {
"start": 457,
"end": 2697
} | class ____(OAuth2TestsMixin, TestCase):
provider_id = BattleNetProvider.id
_uid = 123456789
_battletag = "LuckyDragon#1953"
def get_mocked_response(self):
data = {"battletag": self._battletag, "id": self._uid}
return MockedResponse(HTTPStatus.OK, json.dumps(data))
def get_expected_... | BattleNetTests |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-cart/source_cart/streams.py | {
"start": 5297,
"end": 5436
} | class ____(IncrementalCartStream):
"""
Docs: https://developers.cart.com/docs/rest-api/restapi.json/paths/~1orders/get
"""
| Orders |
python | simonw__datasette | tests/test_plugins.py | {
"start": 47462,
"end": 63484
} | class ____:
__name__ = "SlotPlugin"
@hookimpl
def top_homepage(self, request):
return "Xtop_homepage:" + request.args["z"]
@hookimpl
def top_database(self, request, database):
async def inner():
return "Xtop_database:{}:{}".format(database, request.args["z"])
r... | SlotPlugin |
python | google__jax | tests/lax_numpy_test.py | {
"start": 238540,
"end": 243038
} | class ____(jtu.JaxTestCase):
@parameterized.parameters(itertools.chain.from_iterable(
jtu.sample_product_testcases(
[dict(op=rec.op, rng_factory=rec.rng_factory, tol=rec.tol,
order=rec.order)],
shapes=itertools.combinations_with_replacement(nonempty_shapes, rec.nargs),
dtype=rec.dty... | NumpyGradTests |
python | django__django | tests/user_commands/management/commands/mutually_exclusive_required.py | {
"start": 54,
"end": 910
} | class ____(BaseCommand):
def add_arguments(self, parser):
group = parser.add_mutually_exclusive_group(required=True)
group.add_argument("--foo-id", type=int, nargs="?", default=None)
group.add_argument("--foo-name", type=str, nargs="?", default=None)
group.add_argument("--foo-list", ... | Command |
python | dagster-io__dagster | python_modules/libraries/dagster-managed-elements/dagster_managed_elements/types.py | {
"start": 220,
"end": 967
} | class ____(enum.Enum):
CANNOT_CONNECT = "cannot_connect"
SANITIZE_KEY_KEYWORDS = [
"password",
"token",
"secret",
"ssh_key",
"credentials_json",
"access_key_id",
]
SANITIZE_KEY_EXACT_MATCHES = ["pat"]
SECRET_MASK_VALUE = "**********"
def is_key_secret(key: str):
"""Rudamentary check... | ManagedElementError |
python | google__jax | tests/tree_util_test.py | {
"start": 7999,
"end": 36238
} | class ____(jtu.JaxTestCase):
@parameterized.parameters(*(TREES + LEAVES))
def testRoundtrip(self, inputs):
xs, tree = tree_util.tree_flatten(inputs)
actual = tree_util.tree_unflatten(tree, xs)
self.assertEqual(actual, inputs)
@parameterized.parameters(*(TREES + LEAVES))
def testRoundtripWithFlatte... | TreeTest |
python | getsentry__sentry | src/sentry/utils/services.py | {
"start": 1379,
"end": 14414
} | class ____:
"""
The delegator is a class that coordinates and delegates method execution to
multiple named backends that share a common API. It can be used to route
requests to different backends based on method arguments, as well as execute
the same request against multiple backends in parallel for... | Delegator |
python | celery__celery | celery/exceptions.py | {
"start": 4231,
"end": 4346
} | class ____(CeleryWarning):
"""Celery hasn't been configured, as no config module has been found."""
| NotConfigured |
python | pydantic__pydantic | pydantic/v1/errors.py | {
"start": 10080,
"end": 10156
} | class ____(PydanticTypeError):
msg_template = 'str type expected'
| StrError |
python | catalyst-team__catalyst | examples/detection/models/yolo_x.py | {
"start": 2536,
"end": 2995
} | class ____(nn.Module):
"Residual layer with `in_channels` inputs."
def __init__(self, in_channels: int):
super().__init__()
mid_channels = in_channels // 2
self.layer1 = BaseConv(in_channels, mid_channels, ksize=1, stride=1, act="lrelu")
self.layer2 = BaseConv(mid_channels, in_c... | ResLayer |
python | tiangolo__fastapi | tests/test_security_oauth2_optional_description.py | {
"start": 547,
"end": 11487
} | class ____(BaseModel):
username: str
def get_current_user(oauth_header: Optional[str] = Security(reusable_oauth2)):
if oauth_header is None:
return None
user = User(username=oauth_header)
return user
@app.post("/login")
def login(form_data: OAuth2PasswordRequestFormStrict = Depends()):
r... | User |
python | walkccc__LeetCode | solutions/900. RLE Iterator/900.py | {
"start": 0,
"end": 415
} | class ____:
def __init__(self, encoding: list[int]):
self.encoding = encoding
self.index = 0
def next(self, n: int) -> int:
while self.index < len(self.encoding) and self.encoding[self.index] < n:
n -= self.encoding[self.index]
self.index += 2
if self.index == len(self.encoding):
... | RLEIterator |
python | sympy__sympy | sympy/integrals/manualintegrate.py | {
"start": 6989,
"end": 7132
} | class ____(TrigRule):
"""integrate(sin(x), x) -> -cos(x)"""
def eval(self) -> Expr:
return -cos(self.variable)
@dataclass
| SinRule |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.