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 | getsentry__sentry | tests/sentry/incidents/models/test_alert_rule.py | {
"start": 11082,
"end": 11201
} | class ____(AlertRuleTriggerActionActivateBaseTest, unittest.TestCase):
method = "fire"
| AlertRuleTriggerActionFireTest |
python | charliermarsh__ruff | crates/ruff_linter/resources/test/fixtures/flake8_pyi/PYI049.py | {
"start": 153,
"end": 203
} | class ____(TypedDict):
foo: bytes
| _UsedTypedDict |
python | numba__numba | numba/core/codegen.py | {
"start": 39621,
"end": 41706
} | class ____(object):
"""
For tracking unresolved symbols generated at runtime due to recursion.
"""
PREFIX = '.numba.unresolved$'
def __init__(self):
self._unresolved = utils.UniqueDict()
self._defined = set()
self._resolved = []
def scan_unresolved_symbols(self, module,... | RuntimeLinker |
python | doocs__leetcode | solution/3200-3299/3210.Find the Encrypted String/Solution.py | {
"start": 0,
"end": 202
} | class ____:
def getEncryptedString(self, s: str, k: int) -> str:
cs = list(s)
n = len(s)
for i in range(n):
cs[i] = s[(i + k) % n]
return "".join(cs)
| Solution |
python | numpy__numpy | numpy/_core/tests/test_multiarray.py | {
"start": 178014,
"end": 178197
} | class ____:
def test_test_zero_rank(self):
x = np.array([1, 2, 3])
assert_(isinstance(x[0], np.int_))
assert_(type(x[0, ...]) is np.ndarray)
| TestSubscripting |
python | pytorch__pytorch | test/test_testing.py | {
"start": 41017,
"end": 44030
} | class ____(TestCase):
def test_matching_coalesced(self):
indices = (
(0, 1),
(1, 0),
)
values = (1, 2)
actual = torch.sparse_coo_tensor(indices, values, size=(2, 2)).coalesce()
expected = actual.clone()
for fn in assert_close_with_inputs(actua... | TestAssertCloseSparseCOO |
python | pytorch__pytorch | test/inductor/test_lookup_table.py | {
"start": 33483,
"end": 42104
} | class ____(BaseE2ELookupTableTest):
"""E2E tests for lookup table functionality"""
@parametrize("max_autotune", [True, False])
@fresh_cache()
def test_no_lookup_table_entry_autotune_modes(self, max_autotune):
"""Test when there's no lookup table entry with different autotune modes"""
te... | TestLookupTableE2E |
python | apache__airflow | airflow-core/src/airflow/utils/file.py | {
"start": 2843,
"end": 13855
} | class ____(NamedTuple):
"""Typed namedtuple with utility functions for glob ignore rules."""
wild_match_pattern: GitWildMatchPattern
relative_to: Path | None = None
@staticmethod
def compile(pattern: str, base_dir: Path, definition_file: Path) -> _IgnoreRule | None:
"""Build an ignore rule... | _GlobIgnoreRule |
python | PrefectHQ__prefect | src/integrations/prefect-github/prefect_github/schemas/graphql_schema.py | {
"start": 105025,
"end": 105477
} | class ____(sgqlc.types.Input):
"""
See source code for more info.
"""
__schema__ = graphql_schema
__field_names__ = ("field", "direction")
field = sgqlc.types.Field(
sgqlc.types.non_null(EnterpriseServerUserAccountsUploadOrderField),
graphql_name="field",
)
direction = s... | EnterpriseServerUserAccountsUploadOrder |
python | Textualize__textual | src/textual/app.py | {
"start": 6342,
"end": 6431
} | class ____(Exception):
"""Base class for exceptions relating to actions."""
| ActionError |
python | marshmallow-code__marshmallow | tests/test_serialization.py | {
"start": 694,
"end": 35621
} | class ____:
@pytest.fixture
def user(self):
return User("Foo", email="foo@bar.com", age=42)
def test_function_field_passed_func(self, user):
field = fields.Function(lambda obj: obj.name.upper())
assert field.serialize("key", user) == "FOO"
def test_function_field_passed_seriali... | TestFieldSerialization |
python | django__django | tests/staticfiles_tests/test_management.py | {
"start": 918,
"end": 1139
} | class ____:
def test_no_files_created(self):
"""
Make sure no files were create in the destination directory.
"""
self.assertEqual(os.listdir(settings.STATIC_ROOT), [])
| TestNoFilesCreated |
python | kubernetes-client__python | kubernetes/client/models/v1_device_claim_configuration.py | {
"start": 383,
"end": 4941
} | 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... | V1DeviceClaimConfiguration |
python | Farama-Foundation__Gymnasium | gymnasium/envs/mujoco/hopper_v5.py | {
"start": 305,
"end": 19804
} | class ____(MujocoEnv, utils.EzPickle):
r"""
## Description
This environment is based on the work of Erez, Tassa, and Todorov in ["Infinite Horizon Model Predictive Control for Nonlinear Periodic Tasks"](http://www.roboticsproceedings.org/rss07/p10.pdf).
The environment aims to increase the number of ind... | HopperEnv |
python | google__jax | jax/_src/pallas/mosaic_gpu/core.py | {
"start": 5192,
"end": 6982
} | class ____(enum.Enum):
#: Global memory.
GMEM = "gmem"
#: Shared memory.
SMEM = "smem"
#: Tensor memory. New addition to Blackwell. Not available on Hopper.
TMEM = "tmem"
#: Registers.
REGS = "regs"
def __str__(self) -> str:
return self.value
def __call__(
self,
shape: Sequence[int... | MemorySpace |
python | doocs__leetcode | solution/2800-2899/2830.Maximize the Profit as the Salesman/Solution.py | {
"start": 0,
"end": 348
} | class ____:
def maximizeTheProfit(self, n: int, offers: List[List[int]]) -> int:
offers.sort(key=lambda x: x[1])
f = [0] * (len(offers) + 1)
g = [x[1] for x in offers]
for i, (s, _, v) in enumerate(offers, 1):
j = bisect_left(g, s)
f[i] = max(f[i - 1], f[j] + ... | Solution |
python | apache__airflow | providers/google/src/airflow/providers/google/cloud/transfers/presto_to_gcs.py | {
"start": 4957,
"end": 7193
} | class ____(BaseSQLToGCSOperator):
"""
Copy data from PrestoDB to Google Cloud Storage in JSON, CSV or Parquet format.
:param presto_conn_id: Reference to a specific Presto hook.
"""
ui_color = "#a0e08c"
type_map = {
"BOOLEAN": "BOOL",
"TINYINT": "INT64",
"SMALLINT": "I... | PrestoToGCSOperator |
python | mlflow__mlflow | tests/store/tracking/__init__.py | {
"start": 155,
"end": 2562
} | class ____:
def create_test_run(self):
raise Exception("this should be overridden")
def get_store(self):
raise Exception("this should be overridden")
def test_record_logged_model(self):
store = self.get_store()
run_id = self.create_test_run().info.run_id
m = Model(a... | AbstractStoreTest |
python | pytorch__pytorch | torch/_inductor/template_heuristics/triton.py | {
"start": 31703,
"end": 39707
} | class ____(BaseConfigHeuristic):
"""
Child class for CUDA device specific gemm/flex attention/conv/ configs.
"""
def __init__(self) -> None:
super().__init__()
self.sm_120_default_flex_config = {
(torch.float32, 64): FlexConfig(128, 32, 2, 4),
(torch.float32, 12... | CUDAConfigHeuristic |
python | aio-libs__aiohttp | examples/token_refresh_middleware.py | {
"start": 4203,
"end": 12264
} | class ____:
"""Test server with JWT-like token authentication."""
def __init__(self) -> None:
self.tokens_db: dict[str, dict[str, str | float]] = {}
self.refresh_tokens_db: dict[str, dict[str, str | float]] = {
# Hash of refresh token -> user data
hashlib.sha256(b"demo_r... | TestServer |
python | huggingface__transformers | src/transformers/models/clip/modeling_clip.py | {
"start": 24835,
"end": 26547
} | class ____(CLIPPreTrainedModel):
config: CLIPTextConfig
input_modalities = ("text",)
_no_split_modules = ["CLIPTextEmbeddings", "CLIPEncoderLayer"]
def __init__(self, config: CLIPTextConfig):
super().__init__(config)
self.text_model = CLIPTextTransformer(config)
# Initialize we... | CLIPTextModel |
python | encode__django-rest-framework | tests/authentication/test_authentication.py | {
"start": 19572,
"end": 20949
} | class ____(TestCase):
def setUp(self):
class AuthAccessingRenderer(renderers.BaseRenderer):
media_type = 'text/plain'
format = 'txt'
def render(self, data, media_type=None, renderer_context=None):
request = renderer_context['request']
if r... | FailingAuthAccessedInRenderer |
python | pypa__pipenv | pipenv/patched/pip/_internal/commands/download.py | {
"start": 745,
"end": 5393
} | class ____(RequirementCommand):
"""
Download packages from:
- PyPI (and other indexes) using requirement specifiers.
- VCS project urls.
- Local project directories.
- Local or remote source archives.
pip also supports downloading from "requirements files", which provide
an easy way to... | DownloadCommand |
python | pypa__warehouse | tests/common/db/accounts.py | {
"start": 2482,
"end": 2858
} | class ____(WarehouseFactory):
class Meta:
model = UserTermsOfServiceEngagement
revision = "initial"
engagement = TermsOfServiceEngagement.Agreed
created = factory.Faker(
"date_time_between_dates",
datetime_start=datetime.datetime(2025, 1, 1),
datetime_end=datetime.dateti... | UserTermsOfServiceEngagementFactory |
python | joke2k__faker | faker/providers/person/de_LI/__init__.py | {
"start": 81,
"end": 17973
} | class ____(PersonProvider):
# Top 50 surnames in Liechtenstein
# Weighted by number of occurrences
# Source: https://de.wikipedia.org/wiki/Familiennamen_in_Liechtenstein#Die_h%C3%A4ufigsten_50_Familiennamen
# on 2024-10-31
last_names = OrderedDict(
(
("Banzer", 0.011916111),
... | Provider |
python | celery__celery | celery/bin/base.py | {
"start": 883,
"end": 4079
} | class ____:
"""Context Object for the CLI."""
def __init__(self, app, no_color, workdir, quiet=False):
"""Initialize the CLI context."""
self.app = app or get_current_app()
self.no_color = no_color
self.quiet = quiet
self.workdir = workdir
@cached_property
def O... | CLIContext |
python | numba__numba | numba/tests/test_gil.py | {
"start": 1788,
"end": 5966
} | class ____(TestCase):
def make_test_array(self, n_members):
return np.arange(n_members, dtype=np.int64)
def run_in_threads(self, func, n_threads):
# Run the function in parallel over an array and collect results.
threads = []
# Warm up compilation, since we don't want that to i... | TestGILRelease |
python | scrapy__scrapy | tests/test_scheduler_base.py | {
"start": 1173,
"end": 1463
} | class ____(MinimalScheduler):
def open(self, spider: Spider) -> defer.Deferred:
return defer.succeed("open")
def close(self, reason: str) -> defer.Deferred:
return defer.succeed("close")
def __len__(self) -> int:
return len(self.requests)
| SimpleScheduler |
python | django__django | django/contrib/gis/db/models/lookups.py | {
"start": 7496,
"end": 8272
} | class ____(GISLookup):
lookup_name = "relate"
sql_template = "%(func)s(%(lhs)s, %(rhs)s, %%s)"
pattern_regex = _lazy_re_compile(r"^[012TF*]{9}$")
def process_rhs(self, compiler, connection):
# Check the pattern argument
pattern = self.rhs_params[0]
backend_op = connection.ops.gi... | RelateLookup |
python | pytorch__pytorch | torch/_higher_order_ops/_invoke_quant.py | {
"start": 629,
"end": 826
} | class ____(BaseHOP):
def __init__(self) -> None:
super().__init__("invoke_quant")
invoke_quant = InvokeQuantUnpacked()
@dataclasses.dataclass(frozen=True, repr=True)
| InvokeQuantUnpacked |
python | getsentry__sentry | src/sentry/workflow_engine/migrations/0102_cleanup_failed_safe_deletes.py | {
"start": 207,
"end": 1717
} | class ____(CheckedMigration):
# This flag is used to mark that a migration shouldn't be automatically run in production.
# This should only be used for operations where it's safe to run the migration after your
# code has deployed. So this should not be used for most operations that alter the schema
# o... | Migration |
python | ray-project__ray | doc/source/serve/doc_code/custom_request_router_app.py | {
"start": 534,
"end": 1520
} | class ____:
def __init__(self):
context = _get_internal_replica_context()
self.replica_id: ReplicaID = context.replica_id
async def __call__(self):
return self.replica_id
handle = serve.run(UniformRequestRouterApp.bind())
response = handle.remote().result()
print(f"Response from Unifo... | UniformRequestRouterApp |
python | huggingface__transformers | src/transformers/models/doge/modeling_doge.py | {
"start": 23363,
"end": 24485
} | class ____(PreTrainedModel):
config: DogeConfig
base_model_prefix = "model"
supports_gradient_checkpointing = True
_no_split_modules = ["DogeDecoderLayer"]
_skip_keys_device_placement = ["past_key_values"]
_supports_flash_attn = False
_supports_sdpa = True
_supports_flex_attn = True
... | DogePreTrainedModel |
python | plotly__plotly.py | plotly/graph_objs/isosurface/_surface.py | {
"start": 233,
"end": 6708
} | class ____(_BaseTraceHierarchyType):
_parent_path_str = "isosurface"
_path_str = "isosurface.surface"
_valid_props = {"count", "fill", "pattern", "show"}
@property
def count(self):
"""
Sets the number of iso-surfaces between minimum and maximum
iso-values. By default this va... | Surface |
python | pytorch__pytorch | torch/distributed/elastic/rendezvous/api.py | {
"start": 893,
"end": 987
} | class ____(Exception):
"""Represents the base type for rendezvous errors."""
| RendezvousError |
python | doocs__leetcode | solution/0600-0699/0674.Longest Continuous Increasing Subsequence/Solution2.py | {
"start": 0,
"end": 304
} | class ____:
def findLengthOfLCIS(self, nums: List[int]) -> int:
ans, n = 1, len(nums)
i = 0
while i < n:
j = i + 1
while j < n and nums[j - 1] < nums[j]:
j += 1
ans = max(ans, j - i)
i = j
return ans
| Solution |
python | openai__openai-python | src/openai/resources/fine_tuning/jobs/checkpoints.py | {
"start": 6713,
"end": 6966
} | class ____:
def __init__(self, checkpoints: AsyncCheckpoints) -> None:
self._checkpoints = checkpoints
self.list = _legacy_response.async_to_raw_response_wrapper(
checkpoints.list,
)
| AsyncCheckpointsWithRawResponse |
python | ApeWorX__ape | src/ape/plugins/project.py | {
"start": 198,
"end": 852
} | class ____(PluginType):
"""
A plugin for converting files to a ``PackageManifest``.
The default project plugin is the :class:`~ape.api.projects.ApeProject`.
Otherwise, you can define your own project implementation for converting
a set of files to a ``PackageManifest``, such as one that resolves dep... | ProjectPlugin |
python | doocs__leetcode | solution/0200-0299/0265.Paint House II/Solution.py | {
"start": 0,
"end": 350
} | class ____:
def minCostII(self, costs: List[List[int]]) -> int:
n, k = len(costs), len(costs[0])
f = costs[0][:]
for i in range(1, n):
g = costs[i][:]
for j in range(k):
t = min(f[h] for h in range(k) if h != j)
g[j] += t
f ... | Solution |
python | mlflow__mlflow | mlflow/genai/scorers/base.py | {
"start": 904,
"end": 1214
} | class ____(Enum):
CLASS = "class"
BUILTIN = "builtin"
DECORATOR = "decorator"
INSTRUCTIONS = "instructions"
GUIDELINES = "guidelines"
_ALLOWED_SCORERS_FOR_REGISTRATION = [
ScorerKind.BUILTIN,
ScorerKind.DECORATOR,
ScorerKind.INSTRUCTIONS,
ScorerKind.GUIDELINES,
]
| ScorerKind |
python | tensorflow__tensorflow | tensorflow/python/kernel_tests/data_structures/lookup_ops_test.py | {
"start": 42937,
"end": 58790
} | class ____(BaseLookupTableTest):
def _createVocabFile(self, basename, values=("brain", "salad", "surgery")):
vocabulary_file = os.path.join(self.get_temp_dir(), basename)
with open(vocabulary_file, "w") as f:
f.write("\n".join(values) + "\n")
return vocabulary_file
def testStringStaticVocabulary... | StaticVocabularyTableTest |
python | keras-team__keras | keras/src/layers/reshaping/cropping3d_test.py | {
"start": 190,
"end": 7172
} | class ____(testing.TestCase):
@parameterized.product(
(
{"dim1_cropping": (1, 2), "dim1_expected": (1, 5)}, # both
{"dim1_cropping": (0, 2), "dim1_expected": (0, 5)}, # left only
{"dim1_cropping": (1, 0), "dim1_expected": (1, 7)}, # right only
),
(
... | Cropping3DTest |
python | ray-project__ray | python/ray/serve/config.py | {
"start": 24234,
"end": 27633
} | class ____(BaseModel):
"""HTTP options for the proxies. Supported fields:
- host: Host that the proxies listens for HTTP on. Defaults to
"127.0.0.1". To expose Serve publicly, you probably want to set
this to "0.0.0.0".
- port: Port that the proxies listen for HTTP on. Defaults to 8000.
- r... | HTTPOptions |
python | sqlalchemy__sqlalchemy | test/sql/test_compare.py | {
"start": 78108,
"end": 78713
} | class ____(fixtures.TestBase):
@testing.combinations(
(select(column("a")),),
(table("q", column("a")).insert(),),
(table("q", column("a")).update(),),
(table("q", column("a")).delete(),),
(lambda_stmt(lambda: select(column("a"))),),
)
def test_is_select(self, case):
... | ExecutableFlagsTest |
python | tensorflow__tensorflow | tensorflow/python/kernel_tests/metrics_test.py | {
"start": 112589,
"end": 118584
} | class ____(test.TestCase):
def setUp(self):
self._predictions = (((0.5, 0.1, 0.6, 0.3, 0.8, 0.0, 0.7, 0.2, 0.4, 0.9),
(0.3, 0.0, 0.7, 0.2, 0.4, 0.9, 0.5, 0.8, 0.1, 0.6)),
((0.3, 0.0, 0.7, 0.2, 0.4, 0.9, 0.5, 0.8, 0.1, 0.6),
(0.5, 0.1, 0... | MultiLabel3dRecallAtKTest |
python | kamyu104__LeetCode-Solutions | Python/maximum-font-to-fit-a-sentence-in-a-screen.py | {
"start": 403,
"end": 1216
} | class ____(object):
def maxFont(self, text, w, h, fonts, fontInfo):
"""
:type text: str
:type w: int
:type h: int
:type fonts: List[int]
:type fontInfo: FontInfo
:rtype: int
"""
def check(count, w, h, fonts, fontInfo, x): # Time: O(1)
... | Solution |
python | pola-rs__polars | py-polars/src/polars/_typing.py | {
"start": 10105,
"end": 13856
} | class ____(BasicCursor):
def fetchall(self, *args: Any, **kwargs: Any) -> Any:
"""Fetch all results."""
def fetchmany(self, *args: Any, **kwargs: Any) -> Any:
"""Fetch results in batches."""
AlchemyConnection: TypeAlias = Union["Connection", "Engine", "Session"]
AlchemyAsyncConnection: TypeAl... | Cursor |
python | PyCQA__pylint | tests/functional/ext/docparams/parameter/missing_param_doc_required_no_doc_rgx_test_all.py | {
"start": 732,
"end": 867
} | class ____:
def __init__(self, my_param: int) -> None: # [missing-param-doc]
"""
My init docstring
"""
| MyClass |
python | ray-project__ray | python/ray/dashboard/modules/reporter/tests/test_gpu_providers.py | {
"start": 763,
"end": 3232
} | class ____(unittest.TestCase):
"""Test GpuUtilizationInfo TypedDict."""
def test_creation_with_processes(self):
"""Test GpuUtilizationInfo with process information."""
process1 = ProcessGPUInfo(pid=1234, gpu_memory_usage=256, gpu_utilization=None)
process2 = ProcessGPUInfo(pid=5678, gpu... | TestGpuUtilizationInfo |
python | astropy__astropy | astropy/utils/metadata/exceptions.py | {
"start": 265,
"end": 318
} | class ____(AstropyWarning):
pass
| MergeConflictWarning |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-okta/source_okta/config_migration.py | {
"start": 419,
"end": 3109
} | class ____:
"""
This class stands for migrating the config at runtime,
while providing the backward compatibility when falling back to the previous source version.
"""
message_repository: MessageRepository = InMemoryMessageRepository()
@classmethod
def should_migrate(cls, config: Mapping[s... | OktaConfigMigration |
python | apache__airflow | providers/alibaba/src/airflow/providers/alibaba/cloud/sensors/analyticdb_spark.py | {
"start": 1168,
"end": 2325
} | class ____(BaseSensorOperator):
"""
Monitor a AnalyticDB Spark session for termination.
:param app_id: identifier of the monitored app depends on the option that's being modified.
:param adb_spark_conn_id: reference to a pre-defined ADB Spark connection.
:param region: AnalyticDB MySQL region you w... | AnalyticDBSparkSensor |
python | huggingface__transformers | src/transformers/models/llava_next/modeling_llava_next.py | {
"start": 6978,
"end": 8551
} | class ____(ModelOutput):
r"""
loss (`torch.FloatTensor` of shape `(1,)`, *optional*, returned when `labels` is provided):
Language modeling loss (for next-token prediction).
logits (`torch.FloatTensor` of shape `(batch_size, sequence_length, config.vocab_size)`):
Prediction scores of the lan... | LlavaNextCausalLMOutputWithPast |
python | neetcode-gh__leetcode | python/0740-delete-and-earn.py | {
"start": 68,
"end": 506
} | class ____(object):
def deleteAndEarn(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
upperLimit = max(nums) + 1
store = [0] * upperLimit
for num in nums:
store[num] += num
dp = [0] * upperLimit
dp[1] = 1 * store[1]
... | Solution |
python | getsentry__sentry | src/sentry/tasks/summaries/metrics.py | {
"start": 768,
"end": 1230
} | class ____(EventLifecycleMetric):
operation_type: WeeklyReportOperationType
dry_run: bool
def get_metric_key(self, outcome: EventLifecycleOutcome) -> str:
tokens = ("weekly_report", self.operation_type, str(outcome))
return ".".join(tokens)
def get_metric_tags(self) -> Mapping[str, str... | WeeklyReportSLO |
python | huggingface__transformers | src/transformers/models/metaclip_2/modular_metaclip_2.py | {
"start": 33176,
"end": 33576
} | class ____(CLIPForImageClassification):
pass
__all__ = [
"MetaClip2Config",
"MetaClip2TextConfig",
"MetaClip2VisionConfig",
"MetaClip2Model",
"MetaClip2PreTrainedModel",
"MetaClip2TextModel",
"MetaClip2TextModelWithProjection",
"MetaClip2VisionModel",
"MetaClip2VisionModelWithP... | MetaClip2ForImageClassification |
python | charliermarsh__ruff | crates/ruff_linter/resources/test/fixtures/pycodestyle/E21.py | {
"start": 195,
"end": 620
} | class ____ (Bar, Baz):
pass
def fetch_name () -> Union[str, None]:
"""Fetch name from --person-name in sys.argv.
Returns:
name of the person if available, otherwise None
"""
test = len(5)
Logger.info(test)
# test commented code
# Logger.info("test code")
for i in range (0, ... | Foo |
python | getsentry__sentry | src/sentry/codecov/endpoints/sync_repos/sync_repos.py | {
"start": 1109,
"end": 3349
} | class ____(CodecovEndpoint):
owner = ApiOwner.CODECOV
publish_status = {
"POST": ApiPublishStatus.PUBLIC,
"GET": ApiPublishStatus.PUBLIC,
}
permission_classes = (SyncReposPermission,)
@extend_schema(
operation_id="Syncs repositories from an integrated org with GitHub",
... | SyncReposEndpoint |
python | pytorch__pytorch | torch/_numpy/_dtypes.py | {
"start": 2216,
"end": 2315
} | class ____(floating):
name = "float16"
typecode = "e"
torch_dtype = torch.float16
| float16 |
python | optuna__optuna | optuna/testing/pruners.py | {
"start": 52,
"end": 318
} | class ____(optuna.pruners.BasePruner):
def __init__(self, is_pruning: bool) -> None:
self.is_pruning = is_pruning
def prune(self, study: "optuna.study.Study", trial: "optuna.trial.FrozenTrial") -> bool:
return self.is_pruning
| DeterministicPruner |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-amazon-seller-partner/unit_tests/integration/test_vendor_orders_status.py | {
"start": 2075,
"end": 6189
} | class ____:
@staticmethod
def _read(config_: ConfigBuilder, expecting_exception: bool = False) -> EntrypointOutput:
return read_output(
config_builder=config_,
stream_name=_STREAM_NAME,
sync_mode=SyncMode.full_refresh,
expecting_exception=expecting_excepti... | TestFullRefresh |
python | modin-project__modin | modin/core/execution/unidist/generic/partitioning/partition_manager.py | {
"start": 1053,
"end": 2293
} | class ____(PandasDataframePartitionManager):
"""The class implements the interface in `PandasDataframePartitionManager`."""
@classmethod
def to_numpy(cls, partitions, **kwargs):
"""
Convert `partitions` into a NumPy array.
Parameters
----------
partitions : NumPy ar... | GenericUnidistDataframePartitionManager |
python | huggingface__transformers | src/transformers/models/qwen2_5_vl/modeling_qwen2_5_vl.py | {
"start": 27432,
"end": 31871
} | class ____(nn.Module):
"""
Multi-headed attention from 'Attention Is All You Need' paper. Modified to use sliding window attention: Longformer
and "Generating Long Sequences with Sparse Transformers".
"""
def __init__(self, config: Qwen2_5_VLTextConfig, layer_idx: Optional[int] = None):
sup... | Qwen2_5_VLAttention |
python | streamlit__streamlit | lib/streamlit/elements/lib/column_config_utils.py | {
"start": 1692,
"end": 16754
} | class ____(str, Enum):
INTEGER = "integer"
FLOAT = "float"
DATE = "date"
TIME = "time"
DATETIME = "datetime"
BOOLEAN = "boolean"
STRING = "string"
TIMEDELTA = "timedelta"
PERIOD = "period"
INTERVAL = "interval"
BYTES = "bytes"
DECIMAL = "decimal"
COMPLEX = "complex"
... | ColumnDataKind |
python | apache__airflow | providers/fab/tests/unit/fab/auth_manager/api_endpoints/test_user_endpoint.py | {
"start": 2860,
"end": 4153
} | class ____:
@pytest.fixture(autouse=True)
def setup_attrs(self, configured_app, request) -> None:
self.app = configured_app
self.client = self.app.test_client()
self.session = self.app.appbuilder.session
# Logout the user after each request
@request.addfinalizer
... | TestUserEndpoint |
python | apache__airflow | task-sdk/src/airflow/sdk/definitions/callback.py | {
"start": 1045,
"end": 4801
} | class ____(ABC):
"""
Base class for Deadline Alert callbacks.
Callbacks are used to execute custom logic when a deadline is missed.
The `callback_callable` can be a Python callable type or a string containing the path to the callable that
can be used to import the callable. It must be a top-level ... | Callback |
python | getsentry__sentry | src/sentry/api/endpoints/release_thresholds/release_threshold_details.py | {
"start": 1102,
"end": 2049
} | class ____(serializers.Serializer[ReleaseThresholdPUTData]):
threshold_type = serializers.ChoiceField(choices=ReleaseThresholdType.as_str_choices())
trigger_type = serializers.ChoiceField(choices=ReleaseThresholdTriggerType.as_str_choices())
value = serializers.IntegerField(required=True, min_value=0)
w... | ReleaseThresholdPUTSerializer |
python | doocs__leetcode | solution/0000-0099/0053.Maximum Subarray/Solution.py | {
"start": 0,
"end": 199
} | class ____:
def maxSubArray(self, nums: List[int]) -> int:
ans = f = nums[0]
for x in nums[1:]:
f = max(f, 0) + x
ans = max(ans, f)
return ans
| Solution |
python | lazyprogrammer__machine_learning_examples | ann_class2/dropout_tensorflow.py | {
"start": 552,
"end": 961
} | class ____(object):
def __init__(self, M1, M2):
self.M1 = M1
self.M2 = M2
W = np.random.randn(M1, M2) * np.sqrt(2.0 / M1)
b = np.zeros(M2)
self.W = tf.Variable(W.astype(np.float32))
self.b = tf.Variable(b.astype(np.float32))
self.params = [self.W, self.b]
... | HiddenLayer |
python | arrow-py__arrow | arrow/locales.py | {
"start": 47573,
"end": 47899
} | class ____(GermanBaseLocale, Locale):
names = ["de-at"]
month_names = [
"",
"Jänner",
"Februar",
"März",
"April",
"Mai",
"Juni",
"Juli",
"August",
"September",
"Oktober",
"November",
"Dezember",
]
| AustrianLocale |
python | jmcnamara__XlsxWriter | xlsxwriter/exceptions.py | {
"start": 1203,
"end": 1287
} | class ____(XlsxFileError):
"""IO error when creating xlsx file."""
| FileCreateError |
python | numba__numba | numba/core/typeinfer.py | {
"start": 7930,
"end": 8989
} | class ____(object):
def __init__(self, target, items, loc):
self.target = target
self.items = items
self.loc = loc
def __call__(self, typeinfer):
with new_error_context("typing of {container_type} at {loc}",
container_type=self.container_type,
... | _BuildContainerConstraint |
python | doocs__leetcode | solution/0000-0099/0067.Add Binary/Solution.py | {
"start": 0,
"end": 110
} | class ____:
def addBinary(self, a: str, b: str) -> str:
return bin(int(a, 2) + int(b, 2))[2:]
| Solution |
python | ansible__ansible | hacking/create-bulk-issues.py | {
"start": 6551,
"end": 6700
} | class ____(Args):
tests: list[str]
def run(self) -> None:
deprecated_command(self)
@dataclasses.dataclass(frozen=True)
| DeprecationArgs |
python | microsoft__pyright | packages/pyright-internal/src/tests/samples/matchLiteral2.py | {
"start": 218,
"end": 264
} | class ____:
tag: Literal["b"]
num: int
| B |
python | django__django | tests/get_or_create/models.py | {
"start": 282,
"end": 390
} | class ____(models.Model):
first_name = models.CharField(max_length=100, default="Anonymous")
| DefaultPerson |
python | walkccc__LeetCode | solutions/1736. Latest Time by Replacing Hidden Digits/1736.py | {
"start": 0,
"end": 342
} | class ____:
def maximumTime(self, time: str) -> str:
ans = list(time)
if time[0] == '?':
ans[0] = '2' if time[1] == '?' or time[1] < '4' else '1'
if time[1] == '?':
ans[1] = '3' if ans[0] == '2' else '9'
if time[3] == '?':
ans[3] = '5'
if time[4] == '?':
ans[4] = '9'
re... | Solution |
python | ansible__ansible | test/integration/targets/strategy-external/ansible_collections/ns/col/plugins/strategy/external.py | {
"start": 115,
"end": 161
} | class ____(LinearStrategy):
...
| StrategyModule |
python | sqlalchemy__sqlalchemy | test/orm/dml/test_bulk_statements.py | {
"start": 77797,
"end": 81566
} | class ____(fixtures.DeclarativeMappedTest):
__requires__ = ("insert_returning", "ctes_on_dml")
__sparse_driver_backend__ = True
@classmethod
def setup_classes(cls):
decl_base = cls.DeclarativeBasic
class User(ComparableEntity, decl_base):
__tablename__ = "users"
... | CTETest |
python | apache__airflow | providers/amazon/tests/unit/amazon/aws/operators/test_redshift_cluster.py | {
"start": 9184,
"end": 11219
} | class ____:
@mock.patch(
"airflow.providers.amazon.aws.hooks.redshift_cluster.RedshiftHook.get_cluster_snapshot_status"
)
@mock.patch.object(RedshiftHook, "conn")
def test_delete_cluster_snapshot_wait(self, mock_conn, mock_get_cluster_snapshot_status):
mock_get_cluster_snapshot_status.re... | TestRedshiftDeleteClusterSnapshotOperator |
python | great-expectations__great_expectations | great_expectations/core/batch_spec.py | {
"start": 2037,
"end": 2913
} | class ____(SerializableDotDict, BatchSpec, PandasBatchSpecProtocol):
@property
@override
def reader_method(self) -> str:
return self["reader_method"]
@property
@override
def reader_options(self) -> dict:
return self.get("reader_options", {})
@override
def to_json_dict(s... | PandasBatchSpec |
python | django__django | django/db/models/lookups.py | {
"start": 28166,
"end": 28249
} | class ____(UUIDTextMixin, EndsWith):
pass
@UUIDField.register_lookup
| UUIDEndsWith |
python | sqlalchemy__sqlalchemy | test/aaa_profiling/test_pool.py | {
"start": 218,
"end": 1367
} | class ____(fixtures.TestBase, AssertsExecutionResults):
__requires__ = ("cpython", "python_profiling_backend")
class Connection:
def rollback(self):
pass
def close(self):
pass
def setup_test(self):
# create a throwaway pool which
# has the effect of... | QueuePoolTest |
python | Pylons__pyramid | tests/test_wsgi.py | {
"start": 18,
"end": 748
} | class ____(unittest.TestCase):
def _callFUT(self, app):
from pyramid.wsgi import wsgiapp
return wsgiapp(app)
def test_wsgiapp_none(self):
self.assertRaises(ValueError, self._callFUT, None)
def test_decorator(self):
context = DummyContext()
request = DummyRequest()
... | WSGIAppTests |
python | django__django | tests/check_framework/template_test_apps/same_tags_app_1/apps.py | {
"start": 36,
"end": 140
} | class ____(AppConfig):
name = "check_framework.template_test_apps.same_tags_app_1"
| SameTagsApp1AppConfig |
python | apache__airflow | providers/google/src/airflow/providers/google/cloud/links/mlengine.py | {
"start": 1504,
"end": 1705
} | class ____(BaseGoogleLink):
"""Helper class for constructing ML Engine link."""
name = "MLEngine Model"
key = "ml_engine_model"
format_str = MLENGINE_MODEL_DETAILS_LINK
| MLEngineModelLink |
python | numpy__numpy | tools/swig/test/testTensor.py | {
"start": 324,
"end": 11639
} | class ____(unittest.TestCase):
def __init__(self, methodName="runTests"):
unittest.TestCase.__init__(self, methodName)
self.typeStr = "double"
self.typeCode = "d"
self.result = sqrt(28.0 / 8)
# Test (type IN_ARRAY3[ANY][ANY][ANY]) typemap
def testNorm(self):
"Test n... | TensorTestCase |
python | weaviate__weaviate-python-client | weaviate/collections/classes/config_vector_index.py | {
"start": 9297,
"end": 10452
} | class ____:
Encoding = _VectorIndexMultivectorEncoding
@deprecated(
'Using the "encoding" argument is deprecated. Instead, specify it at the top-level when creating your `vector_config`'
)
@overload
@staticmethod
def multi_vector(
encoding: _MultiVectorEncodingConfigCreate,
... | _VectorIndexMultiVector |
python | getsentry__sentry-python | sentry_sdk/integrations/pydantic_ai/__init__.py | {
"start": 308,
"end": 1232
} | class ____(Integration):
identifier = "pydantic_ai"
origin = f"auto.ai.{identifier}"
def __init__(self, include_prompts=True):
# type: (bool) -> None
"""
Initialize the Pydantic AI integration.
Args:
include_prompts: Whether to include prompts and messages in sp... | PydanticAIIntegration |
python | getsentry__sentry | src/sentry/web/frontend/debug/debug_sso_link_email.py | {
"start": 889,
"end": 1307
} | class ____(View):
def get(self, request: HttpRequest) -> HttpResponse:
context = get_context(request)
context["has_password"] = True
return MailPreview(
text_template="sentry/emails/auth-sso-disabled.txt",
html_template="sentry/emails/auth-sso-disabled.html",
... | DebugSsoUnlinkedEmailView |
python | sqlalchemy__sqlalchemy | test/orm/test_relationships.py | {
"start": 13444,
"end": 19811
} | class ____(fixtures.MappedTest, AssertsCompiledSQL):
"""Tests the ultimate join condition, a single column
that points to itself, e.g. within a SQL function or similar.
The test is against a materialized path setup.
this is an **extremely** unusual case:
.. sourcecode:: text
Entity
... | DirectSelfRefFKTest |
python | keras-team__keras | keras/src/distillation/distillation_loss_test.py | {
"start": 328,
"end": 1248
} | class ____(TestCase):
"""Test cases for LogitsDistillation distillation_loss."""
def test_logits_distillation_basic(self):
"""Test basic logits distillation structure validation."""
# Create dummy logits
teacher_logits = keras.ops.convert_to_tensor(
np.array([[1.0, 2.0, 3.0]... | TestLogitsDistillation |
python | spack__spack | var/spack/test_repos/spack_repo/builtin_mock/packages/diamond_link_bottom/package.py | {
"start": 217,
"end": 479
} | class ____(Package):
"""Part of diamond-link-{top,left,right,bottom} group"""
homepage = "http://www.example.com"
url = "http://www.example.com/diamond-link-bottom-1.0.tar.gz"
version("1.0", md5="0123456789abcdef0123456789abcdef")
| DiamondLinkBottom |
python | kamyu104__LeetCode-Solutions | Python/longest-strictly-increasing-or-strictly-decreasing-subarray.py | {
"start": 524,
"end": 958
} | class ____(object):
def longestMonotonicSubarray(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
result = cnt1 = cnt2 = 1
for i in xrange(1, len(nums)):
cnt1 = cnt1+1 if nums[i-1] < nums[i] else 1
cnt2 = cnt2+1 if nums[i-1] > nums[i] els... | Solution2 |
python | openai__openai-python | src/openai/resources/beta/realtime/realtime.py | {
"start": 27581,
"end": 31415
} | class ____(BaseRealtimeConnectionResource):
def delete(self, *, item_id: str, event_id: str | NotGiven = NOT_GIVEN) -> None:
"""Send this event when you want to remove any item from the conversation
history.
The server will respond with a `conversation.item.deleted` event,
unless th... | RealtimeConversationItemResource |
python | numpy__numpy | numpy/lib/tests/test_nanfunctions.py | {
"start": 3250,
"end": 9433
} | class ____:
nanfuncs = [np.nanmin, np.nanmax]
stdfuncs = [np.min, np.max]
def test_mutation(self):
# Check that passed array is not modified.
ndat = _ndat.copy()
for f in self.nanfuncs:
f(ndat)
assert_equal(ndat, _ndat)
def test_keepdims(self):
... | TestNanFunctions_MinMax |
python | PrefectHQ__prefect | src/prefect/settings/models/client.py | {
"start": 1230,
"end": 3609
} | class ____(PrefectBaseSettings):
"""
Settings for controlling API client behavior
"""
model_config: ClassVar[SettingsConfigDict] = build_settings_config(("client",))
max_retries: int = Field(
default=5,
ge=0,
description="""
The maximum number of retries to perform ... | ClientSettings |
python | davidhalter__jedi | test/completion/usages.py | {
"start": 3101,
"end": 3400
} | class ____():
def a(self):
#< 13 (4,13), (0,13)
self._instance_var = 3
def b(self):
#< (-4,13), (0,13)
self._instance_var
# A call to self used to trigger an error, because it's also a trailer
# with two children.
self()
| TestInstanceVar |
python | run-llama__llama_index | llama-index-core/llama_index/core/chat_engine/condense_question.py | {
"start": 1458,
"end": 14138
} | class ____(BaseChatEngine):
"""
Condense Question Chat Engine.
First generate a standalone question from conversation context and last message,
then query the query engine for a response.
"""
def __init__(
self,
query_engine: BaseQueryEngine,
condense_question_prompt: B... | CondenseQuestionChatEngine |
python | pytorch__pytorch | test/test_dynamic_shapes.py | {
"start": 74835,
"end": 109734
} | class ____(TestCase):
@skipIfTorchDynamo("mark_dynamic not supported")
def test_simplify_max_1_0(self):
x = torch.rand(10)
torch._dynamo.mark_dynamic(x, 0, max=20, min=5)
@torch.compile(fullgraph=True)
def func(x, v):
# test that statically_known_true
if ... | TestDimConstraints |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.