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 | charliermarsh__ruff | crates/ruff_linter/resources/test/fixtures/pyflakes/F821_5.py | {
"start": 115,
"end": 246
} | class ____:
class InnerClass:
pass
def failing_func(self) -> "InnerClass":
return self.InnerClass()
| OuterClass |
python | pytorch__pytorch | test/test_numa_binding.py | {
"start": 1163,
"end": 31605
} | class ____(TestCase):
def setUp(self) -> None:
super().setUp()
self._mock_file_path_to_contents: dict[str, str] = {}
self._mock_device_properties: list[MockDeviceProperties] = []
self._mock_num_logical_cpus = 0
self._mock_num_numa_nodes = 0
self._mock_num_sockets = 0... | NumaBindingTest |
python | Lightning-AI__lightning | src/lightning/pytorch/_graveyard/tpu.py | {
"start": 2866,
"end": 3319
} | class ____(XLAPrecision):
"""Legacy class.
Use :class:`~lightning.pytorch.plugins.precision.xlabf16.XLAPrecision` instead.
"""
def __init__(self, *args: Any, **kwargs: Any) -> None:
rank_zero_deprecation(
"The `TPUBf16PrecisionPlugin` class is deprecated. Use"
" `light... | TPUBf16PrecisionPlugin |
python | milvus-io__pymilvus | pymilvus/client/types.py | {
"start": 39095,
"end": 40218
} | class ____:
def __init__(
self, token: milvus_types.AnalyzerToken, with_hash: bool = False, with_detail: bool = False
):
self.dict = {"token": token.token}
if with_detail:
self.dict["start_offset"] = token.start_offset
self.dict["end_offset"] = token.end_offset
... | AnalyzeToken |
python | numba__numba | numba/core/rewrites/static_binop.py | {
"start": 132,
"end": 1146
} | class ____(Rewrite):
"""
Detect constant arguments to select binops.
"""
# Those operators can benefit from a constant-inferred argument
rhs_operators = {'**'}
def match(self, func_ir, block, typemap, calltypes):
self.static_lhs = {}
self.static_rhs = {}
self.block = bl... | DetectStaticBinops |
python | realpython__materials | python-pydantic/pydantic_models.py | {
"start": 211,
"end": 317
} | class ____(Enum):
HR = "HR"
SALES = "SALES"
IT = "IT"
ENGINEERING = "ENGINEERING"
| Department |
python | realpython__materials | intro-to-threading/prodcom_queue.py | {
"start": 122,
"end": 1855
} | class ____(queue.Queue):
def __init__(self):
super().__init__(maxsize=10)
def get_message(self, name):
logging.debug("%s:about to get from queue", name)
value = self.get()
logging.debug("%s:got %d from queue", name, value)
return value
def set_message(self, value, n... | Pipeline |
python | pennersr__django-allauth | tests/apps/socialaccount/providers/lemonldap/tests.py | {
"start": 246,
"end": 725
} | class ____(OAuth2TestsMixin, TestCase):
provider_id = LemonLDAPProvider.id
def get_mocked_response(self):
return MockedResponse(
HTTPStatus.OK,
"""
{
"email": "dwho@example.com",
"sub": "dwho",
"preferred_username": "dw... | LemonLDAPTests |
python | scipy__scipy | scipy/_build_utils/tempita/_tempita.py | {
"start": 1414,
"end": 1930
} | class ____(Exception):
"""Exception raised while parsing a template
"""
def __init__(self, message, position, name=None):
Exception.__init__(self, message)
self.position = position
self.name = name
def __str__(self):
msg = ' '.join(self.args)
if self.position:
... | TemplateError |
python | GoogleCloudPlatform__python-docs-samples | dataflow/run-inference/main.py | {
"start": 2067,
"end": 4920
} | class ____(beam.PTransform):
"""Asks an language model a prompt message and gets its responses.
Attributes:
model_name: HuggingFace model name compatible with AutoModelForSeq2SeqLM.
state_dict_path: File path to the model's state_dict, can be in Cloud Storage.
max_response_tokens: Maxim... | AskModel |
python | Netflix__metaflow | test/core/tests/card_timeout.py | {
"start": 72,
"end": 1843
} | class ____(MetaflowTest):
"""
Test that checks if the card decorator works as intended with the timeout decorator.
# This test set an artifact in the steps and also set a timeout to the card argument.
# It will assert the artifact to be None.
"""
PRIORITY = 2
SKIP_GRAPHS = [
"simple... | CardTimeoutTest |
python | django__django | tests/model_options/apps.py | {
"start": 224,
"end": 346
} | class ____(AppConfig):
name = "model_options"
default_auto_field = "django.db.models.TextField"
| ModelPKNonAutoConfig |
python | ray-project__ray | python/ray/train/v2/_internal/execution/worker_group/worker_group.py | {
"start": 2372,
"end": 3177
} | class ____:
"""Context for a worker group.
This stores the context that is shared when starting a worker group.
Attributes:
run_attempt_id: The ID of the run attempt.
train_fn_ref: An object store reference to the training function to execute.
num_workers: The number of workers in ... | WorkerGroupContext |
python | PyCQA__pylint | tests/functional/r/regression/regression_6531_crash_index_error.py | {
"start": 152,
"end": 707
} | class ____:
def __init__(self):
self.balance = 0
def add_cash(self, earned):
self.balance += earned
def spend_cash(self, spent):
self.balance -= spent
@pytest.fixture
def my_wallet():
'''Returns a Wallet instance with a zero balance'''
return Wallet()
@pytest.mark.paramet... | Wallet |
python | python-poetry__poetry | src/poetry/console/exceptions.py | {
"start": 356,
"end": 436
} | class ____(PoetryConsoleError):
pass
@dataclasses.dataclass
| GroupNotFoundError |
python | google__jax | jax/_src/source_info_util.py | {
"start": 8502,
"end": 9027
} | class ____(contextlib.ContextDecorator):
__slots__ = ['name', 'prev']
def __init__(self, name: str):
self.name = name
def __enter__(self):
self.prev = prev = _source_info_context.context
name_stack = prev.name_stack.extend(self.name)
_source_info_context.context = prev.replace(name_stack=name_st... | ExtendNameStackContextManager |
python | huggingface__transformers | src/transformers/data/processors/squad.py | {
"start": 22937,
"end": 23045
} | class ____(SquadProcessor):
train_file = "train-v1.1.json"
dev_file = "dev-v1.1.json"
| SquadV1Processor |
python | django__django | tests/auth_tests/test_auth_backends.py | {
"start": 1785,
"end": 3858
} | class ____(TestCase):
@classmethod
def setUpTestData(cls):
cls.user = User.objects.create_user("test", "test@example.com", "test")
def test_get_user_permissions(self):
self.assertEqual(self.user.get_user_permissions(), {"user_perm"})
async def test_aget_user_permissions(self):
... | BaseBackendTest |
python | lxml__lxml | src/lxml/html/tests/test_html5parser.py | {
"start": 12527,
"end": 12876
} | class ____(ElementMaker):
def __init__(self, namespaceHTMLElements=True):
initargs = dict(makeelement=html_parser.makeelement)
if namespaceHTMLElements:
initargs.update(namespace=XHTML_NAMESPACE,
nsmap={None: XHTML_NAMESPACE})
ElementMaker.__init__(sel... | HTMLElementMaker |
python | huggingface__transformers | src/transformers/utils/quantization_config.py | {
"start": 2507,
"end": 6800
} | class ____:
"""
Mixin class for quantization config
"""
quant_method: QuantizationMethod
@classmethod
def from_dict(cls, config_dict, return_unused_kwargs=False, **kwargs):
"""
Instantiates a [`QuantizationConfigMixin`] from a Python dictionary of parameters.
Args:
... | QuantizationConfigMixin |
python | tensorflow__tensorflow | tensorflow/python/kernel_tests/linalg/linear_operator_low_rank_update_test.py | {
"start": 10951,
"end": 11593
} | class ____(
BaseLinearOperatorLowRankUpdatetest,
linear_operator_test_util.NonSquareLinearOperatorDerivedClassTest):
"""A = L + UDU^H, D > 0, L > 0 ==> A > 0 and we can use a Cholesky."""
_use_diag_update = True
_is_diag_update_positive = True
_use_v = True
def tearDown(self):
config.enable_tens... | LinearOperatorLowRankUpdatetestWithDiagNotSquare |
python | ray-project__ray | python/ray/train/v2/_internal/exceptions.py | {
"start": 2803,
"end": 3038
} | class ____(RayTrainError):
"""Exception raised when the worker group fails to start.
Example scenario: A worker is scheduled onto a node that dies while
the worker actor is initializing.
"""
| WorkerGroupStartupFailedError |
python | huggingface__transformers | src/transformers/models/fsmt/tokenization_fsmt.py | {
"start": 3225,
"end": 17873
} | class ____(PreTrainedTokenizer):
"""
Construct an FAIRSEQ Transformer tokenizer. Based on Byte-Pair Encoding. The tokenization process is the following:
- Moses preprocessing and tokenization.
- Normalizing all inputs text.
- The arguments `special_tokens` and the function `set_special_tokens`, can... | FSMTTokenizer |
python | davidhalter__jedi | jedi/api/helpers.py | {
"start": 2374,
"end": 6787
} | class ____(Exception):
@property
def error_leaf(self):
return self.args[0]
def _get_code_for_stack(code_lines, leaf, position):
# It might happen that we're on whitespace or on a comment. This means
# that we would not get the right leaf.
if leaf.start_pos >= position:
# If we're n... | OnErrorLeaf |
python | huggingface__transformers | src/transformers/models/pegasus_x/configuration_pegasus_x.py | {
"start": 798,
"end": 7954
} | class ____(PreTrainedConfig):
r"""
This is the configuration class to store the configuration of a [`PegasusXModel`]. It is used to instantiate a
PEGASUS-X model according to the specified arguments, defining the model architecture. Instantiating a
configuration with the defaults will yield a similar co... | PegasusXConfig |
python | django__django | tests/handlers/test_exception.py | {
"start": 221,
"end": 1917
} | class ____(SimpleTestCase):
def get_suspicious_environ(self):
payload = FakePayload("a=1&a=2&a=3\r\n")
return {
"REQUEST_METHOD": "POST",
"CONTENT_TYPE": "application/x-www-form-urlencoded",
"CONTENT_LENGTH": len(payload),
"wsgi.input": payload,
... | ExceptionHandlerTests |
python | getsentry__sentry | tests/acceptance/test_project_release_tracking_settings.py | {
"start": 132,
"end": 1248
} | class ____(AcceptanceTestCase, SnubaTestCase):
def setUp(self) -> None:
super().setUp()
self.user = self.create_user("foo@example.com")
self.org = self.create_organization(name="Rowdy Tiger", owner=None)
self.team = self.create_team(organization=self.org, name="Mariachi Band")
... | ProjectReleaseTrackingSettingsTest |
python | google__jax | tests/pallas/pallas_test.py | {
"start": 95935,
"end": 97535
} | class ____(PallasBaseTest):
def test_pass_weird_tuple_into_pallas_call(self):
xt = WeirdTuple(x0=jnp.ones((8, 8)), x1=jnp.zeros((8,)))
def kernel(xt_ref, ot_ref):
xt = xt_ref[...]
ot_ref[...] = xt
ot = self.pallas_call(kernel, out_shape=jax.typeof(xt))(xt)
self.assertArraysEqual(ot.x0,... | PallasHiJaxTest |
python | ApeWorX__ape | tests/functional/conversion/test_address.py | {
"start": 812,
"end": 1450
} | class ____:
@pytest.fixture(scope="class")
def converter(self):
return HexAddressConverter()
def test_is_convertible_hex_str(self, converter):
assert not converter.is_convertible("0x123")
def test_is_convertible_address(self, converter, owner):
# Is already an address!
... | TestHexAddressConverter |
python | huggingface__transformers | src/transformers/models/deepseek_vl_hybrid/modular_deepseek_vl_hybrid.py | {
"start": 5985,
"end": 6098
} | class ____(SamVisionNeck):
def __init__(self, config):
super().__init__(config)
| DeepseekVLSamVisionNeck |
python | numba__numba | numba/core/typing/templates.py | {
"start": 612,
"end": 8018
} | class ____(object):
"""
The signature of a function call or operation, i.e. its argument types
and return type.
"""
# XXX Perhaps the signature should be a BoundArguments, instead
# of separate args and pysig...
__slots__ = '_return_type', '_args', '_recvr', '_pysig'
def __init__(self,... | Signature |
python | pytorch__pytorch | test/test_utils.py | {
"start": 35230,
"end": 35912
} | class ____(TestCase):
def test_import_imported(self):
self.assertIn("os", sys.modules)
os_module = try_import("os")
self.assertIs(os_module, os)
def test_import_existing(self):
self.assertNotIn("imaplib", sys.modules)
imaplib_module = try_import("imaplib")
self.a... | TestTryImport |
python | pydata__xarray | xarray/backends/zarr.py | {
"start": 5929,
"end": 20812
} | class ____(BackendArray):
__slots__ = ("_array", "dtype", "shape")
def __init__(self, zarr_array):
# some callers attempt to evaluate an array if an `array` property exists on the object.
# we prefix with _ to avoid this inference.
# TODO type hint this?
self._array = zarr_arra... | ZarrArrayWrapper |
python | fluentpython__example-code-2e | 21-async/mojifinder/bottle.py | {
"start": 9086,
"end": 17630
} | class ____(object):
''' A Router is an ordered collection of route->target pairs. It is used to
efficiently match WSGI requests against a number of routes and return
the first target that satisfies the request. The target may be anything,
usually a string, ID or callable object. A route cons... | Router |
python | tensorflow__tensorflow | tensorflow/python/kernel_tests/distributions/util_test.py | {
"start": 13917,
"end": 17426
} | class ____(test.TestCase):
@test_util.run_deprecated_v1
def testSameDynamicShape(self):
with self.cached_session():
scalar = constant_op.constant(2.0)
scalar1 = array_ops.placeholder(dtype=dtypes.float32)
vector = [0.3, 0.4, 0.5]
vector1 = array_ops.placeholder(dtype=dtypes.float32, sh... | DynamicShapeTest |
python | mlflow__mlflow | mlflow/gateway/app.py | {
"start": 7359,
"end": 8762
} | class ____(BaseModel):
endpoints: list[Endpoint]
next_page_token: str | None = None
model_config = ConfigDict(
json_schema_extra={
"example": {
"endpoints": [
{
"name": "openai-chat",
"endpoint_type": "l... | ListEndpointsResponse |
python | pytorch__pytorch | torch/distributed/elastic/rendezvous/api.py | {
"start": 10966,
"end": 13084
} | class ____:
"""Represent a registry of :py:class:`RendezvousHandler` backends."""
_registry: dict[str, RendezvousHandlerCreator]
def __init__(self) -> None:
self._registry = {}
def register(self, backend: str, creator: RendezvousHandlerCreator) -> None:
"""Register a new rendezvous ba... | RendezvousHandlerRegistry |
python | tensorflow__tensorflow | tensorflow/python/keras/utils/generic_utils.py | {
"start": 8190,
"end": 15503
} | class ____(object):
"""Keeps track of shared object configs when serializing."""
def __enter__(self):
if _shared_object_disabled():
return None
global SHARED_OBJECT_SAVING
# Serialization can happen at a number of layers for a number of reasons.
# We may end up with a case where we're openi... | SharedObjectSavingScope |
python | pytorch__pytorch | tools/setup_helpers/cmake.py | {
"start": 1554,
"end": 19253
} | class ____:
"Manages cmake."
def __init__(self, build_dir: str = BUILD_DIR) -> None:
self._cmake_command = CMake._get_cmake_command()
self.build_dir = build_dir
@property
def _cmake_cache_file(self) -> str:
r"""Returns the path to CMakeCache.txt.
Returns:
str... | CMake |
python | gevent__gevent | src/greentest/3.10/test_socket.py | {
"start": 225247,
"end": 228014
} | class ____(unittest.TestCase):
def checkNonblock(self, s, nonblock=True, timeout=0.0):
if nonblock:
self.assertEqual(s.type, socket.SOCK_STREAM)
self.assertEqual(s.gettimeout(), timeout)
self.assertTrue(
fcntl.fcntl(s, fcntl.F_GETFL, os.O_NONBLOCK) & os.O_... | NonblockConstantTest |
python | numpy__numpy | numpy/ma/core.py | {
"start": 27438,
"end": 27838
} | class ____:
"""
DomainGreaterEqual(v)(x) is True where x < v.
"""
def __init__(self, critical_value):
"DomainGreaterEqual(v)(x) = true where x < v"
self.critical_value = critical_value
def __call__(self, x):
"Executes the call behavior."
with np.errstate(invalid='i... | _DomainGreaterEqual |
python | scikit-learn__scikit-learn | sklearn/linear_model/_huber.py | {
"start": 4339,
"end": 12752
} | class ____(LinearModel, RegressorMixin, BaseEstimator):
"""L2-regularized linear regression model that is robust to outliers.
The Huber Regressor optimizes the squared loss for the samples where
``|(y - Xw - c) / sigma| < epsilon`` and the absolute loss for the samples
where ``|(y - Xw - c) / sigma| > ... | HuberRegressor |
python | PyCQA__pylint | tests/functional/r/recursion/recursion_error_crash_2683.py | {
"start": 124,
"end": 335
} | class ____:
def __init__(self):
self.count = 5
def method(self):
records = []
for _ in []:
records += []
records = records[:self.count]
records.sort()
| Cls |
python | django__django | tests/prefetch_related/tests.py | {
"start": 53245,
"end": 56435
} | class ____(TestCase):
@classmethod
def setUpTestData(cls):
cls.book1 = BookWithYear.objects.create(title="Poems", published_year=2010)
cls.book2 = BookWithYear.objects.create(title="More poems", published_year=2011)
cls.author1 = AuthorWithAge.objects.create(
name="Jane", fir... | MultiTableInheritanceTest |
python | huggingface__transformers | src/transformers/models/qwen3_vl_moe/modeling_qwen3_vl_moe.py | {
"start": 48484,
"end": 70347
} | class ____(Qwen3VLMoePreTrainedModel):
base_model_prefix = "model"
_checkpoint_conversion_mapping = {}
# Reference: fix gemma3 grad acc #37208
accepts_loss_kwargs = False
config: Qwen3VLMoeConfig
_no_split_modules = ["Qwen3VLMoeTextDecoderLayer", "Qwen3VLMoeVisionBlock"]
def __init__(self, ... | Qwen3VLMoeModel |
python | plotly__plotly.py | plotly/callbacks.py | {
"start": 45,
"end": 2856
} | class ____:
def __init__(
self, ctrl=None, alt=None, shift=None, meta=None, button=None, buttons=None, **_
):
self._ctrl = ctrl
self._alt = alt
self._meta = meta
self._shift = shift
self._button = button
self._buttons = buttons
def __repr__(self):
... | InputDeviceState |
python | sympy__sympy | sympy/physics/secondquant.py | {
"start": 80582,
"end": 86376
} | class ____:
def __init__(self, label):
self._counterVar = 0
self._label = label
def _set_counter(self, value):
"""
Sets counter to value.
"""
self._counterVar = value
@property
def _counter(self):
"""
What counter is currently at.
... | _SymbolFactory |
python | PrefectHQ__prefect | src/integrations/prefect-github/prefect_github/schemas/graphql_schema.py | {
"start": 16667,
"end": 16878
} | class ____(sgqlc.types.Enum):
"""
See source code for more info.
"""
__schema__ = graphql_schema
__choices__ = ("ACTIVE", "PENDING_DELETION", "SUSPENDED")
| OauthApplicationCreateAuditEntryState |
python | pyqtgraph__pyqtgraph | tests/test_reload.py | {
"start": 299,
"end": 2977
} | class ____(pg.QtCore.QObject):
sig = pg.QtCore.Signal()
# https://www.riverbankcomputing.com/pipermail/pyqt/2024-August/045989.html
# @pg.QtCore.Slot()
def fn(self):
print("{msg}")
"""
def remove_cache(mod):
if os.path.isfile(mod+'c'):
os.remove(mod+'c')
cachedir = os.path.join... | C |
python | rq__rq | tests/test_worker.py | {
"start": 1369,
"end": 1406
} | class ____(Queue):
pass
| CustomQueue |
python | getsentry__sentry | tests/apidocs/endpoints/integration_platform/test_sentry_app_external_issues.py | {
"start": 314,
"end": 1534
} | class ____(APIDocsTestCase):
def setUp(self) -> None:
self.org = self.create_organization(owner=self.user, name="Rowdy Tiger")
self.project = self.create_project(organization=self.org)
self.group = self.create_group(project=self.project)
self.sentry_app = self.create_sentry_app(
... | SentryAppDocsTest |
python | optuna__optuna | optuna/samplers/_cmaes.py | {
"start": 1314,
"end": 27102
} | class ____(BaseSampler):
"""A sampler using `cmaes <https://github.com/CyberAgentAILab/cmaes>`__ as the backend.
Example:
Optimize a simple quadratic function by using :class:`~optuna.samplers.CmaEsSampler`.
.. code-block:: console
$ pip install cmaes
.. testcode::
... | CmaEsSampler |
python | arrow-py__arrow | arrow/locales.py | {
"start": 77602,
"end": 80895
} | class ____(Locale):
names = ["he", "he-il"]
past = "לפני {0}"
future = "בעוד {0}"
and_word = "ו"
timeframes: ClassVar[Mapping[TimeFrameLiteral, Union[str, Mapping[str, str]]]] = {
"now": "הרגע",
"second": "שנייה",
"seconds": "{0} שניות",
"minute": "דקה",
"mi... | HebrewLocale |
python | huggingface__transformers | src/transformers/utils/dummy_mistral_common_objects.py | {
"start": 129,
"end": 309
} | class ____(metaclass=DummyObject):
_backends = ["mistral-common"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["mistral-common"])
| MistralCommonBackend |
python | langchain-ai__langchain | libs/partners/mistralai/tests/integration_tests/test_chat_models.py | {
"start": 1873,
"end": 1935
} | class ____(BaseModel):
name: str
authors: list[str]
| Book |
python | fluentpython__example-code-2e | 21-async/mojifinder/bottle.py | {
"start": 69848,
"end": 70305
} | class ____(Response, BottleException):
def __init__(self, body='', status=None, headers=None, **more_headers):
super(HTTPResponse, self).__init__(body, status, headers, **more_headers)
def apply(self, response):
response._status_code = self._status_code
response._status_line = self._sta... | HTTPResponse |
python | getsentry__sentry | tests/sentry/auth/test_email.py | {
"start": 235,
"end": 2800
} | class ____(TestCase):
def setUp(self) -> None:
self.user1 = self.create_user()
self.user2 = self.create_user()
def test_no_match(self) -> None:
result = resolve_email_to_user("no_one@example.com")
assert result is None
def test_single_match(self) -> None:
result = r... | EmailResolverTest |
python | pandas-dev__pandas | pandas/tests/reductions/test_reductions.py | {
"start": 45200,
"end": 47311
} | class ____:
# Note: the name TestCategoricalSeriesReductions indicates these tests
# were moved from a series-specific test file, _not_ that these tests are
# intended long-term to be series-specific
@pytest.mark.parametrize("function", ["min", "max"])
def test_min_max_unordered_raises(self, func... | TestCategoricalSeriesReductions |
python | wandb__wandb | wandb/sdk/launch/registry/abstract.py | {
"start": 106,
"end": 1146
} | class ____(ABC):
"""Abstract base class for registries."""
uri: str
async def get_username_password(self) -> Tuple[str, str]:
"""Get the username and password for the registry.
Returns:
(str, str): The username and password.
"""
raise NotImplementedError
@... | AbstractRegistry |
python | pytorch__pytorch | test/inductor/test_aot_inductor.py | {
"start": 279282,
"end": 280734
} | class ____(LoggingTestCase):
@make_logging_test(dynamic=logging.DEBUG)
def test_shape_env_reuse(self, records):
# make sure ShapeEnv is only created once and reused afterwards
class Foo(torch.nn.Module):
def forward(self, x):
return x + 2
inputs = (torch.rand... | AOTInductorLoggingTest |
python | scrapy__scrapy | tests/test_feedexport.py | {
"start": 98201,
"end": 99726
} | class ____:
def test_unsupported_storage(self):
settings = {
"FEEDS": {
"unsupported://uri": {},
},
}
crawler = get_crawler(settings_dict=settings)
with pytest.raises(NotConfigured):
FeedExporter.from_crawler(crawler)
def test_... | TestFeedExportInit |
python | apache__airflow | providers/amazon/src/airflow/providers/amazon/aws/triggers/emr.py | {
"start": 2620,
"end": 4028
} | class ____(AwsBaseWaiterTrigger):
"""
Asynchronously poll the boto3 API and wait for the JobFlow to finish executing.
:param job_flow_id: The id of the job flow to wait for.
:param waiter_delay: The amount of time in seconds to wait between attempts.
:param waiter_max_attempts: The maximum number o... | EmrCreateJobFlowTrigger |
python | Lightning-AI__lightning | src/lightning/pytorch/serve/servable_module_validator.py | {
"start": 800,
"end": 7264
} | class ____(Callback):
"""The ServableModuleValidator validates to validate a model correctly implement the ServableModule API.
.. warning:: This is an :ref:`experimental <versioning:Experimental API>` feature.
Arguments:
optimization: The format in which the model should be tested while being ser... | ServableModuleValidator |
python | pytorch__pytorch | torch/__init__.py | {
"start": 86628,
"end": 87574
} | class ____(_TorchCompileInductorWrapper):
compiler_name = "aotinductor"
def __init__(self, mode, options, dynamic):
super().__init__(mode, options, dynamic)
self.apply_options({"cpp_wrapper": True})
self.apply_options({"aot_inductor.package": True})
def __call__(self, model_, input... | _TorchCompileAOTInductorWrapper |
python | tensorflow__tensorflow | tensorflow/python/keras/optimizer_v2/adam.py | {
"start": 1325,
"end": 10709
} | class ____(optimizer_v2.OptimizerV2):
r"""Optimizer that implements the Adam algorithm.
Adam optimization is a stochastic gradient descent method that is based on
adaptive estimation of first-order and second-order moments.
According to
[Kingma et al., 2014](http://arxiv.org/abs/1412.6980),
the method is ... | Adam |
python | pypa__pip | src/pip/_vendor/urllib3/packages/six.py | {
"start": 14152,
"end": 14841
} | class ____(_LazyModule):
"""Lazy loading of moved objects in six.moves.urllib_error"""
_urllib_error_moved_attributes = [
MovedAttribute("URLError", "urllib2", "urllib.error"),
MovedAttribute("HTTPError", "urllib2", "urllib.error"),
MovedAttribute("ContentTooShortError", "urllib", "urllib.error"),
]
... | Module_six_moves_urllib_error |
python | mlflow__mlflow | examples/flower_classifier/train.py | {
"start": 3214,
"end": 9361
} | class ____(Callback):
"""
Keras callback for logging metrics and final model with MLflow.
Metrics are logged after every epoch. The logger keeps track of the best model based on the
validation metric. At the end of the training, the best model is logged with MLflow.
"""
def __init__(self, mode... | MlflowLogger |
python | huggingface__transformers | src/transformers/pipelines/fill_mask.py | {
"start": 972,
"end": 11064
} | class ____(Pipeline):
_load_processor = False
_load_image_processor = False
_load_feature_extractor = False
_load_tokenizer = True
"""
Masked language modeling prediction pipeline using any `ModelWithLMHead`. See the [masked language modeling
examples](../task_summary#masked-language-modeli... | FillMaskPipeline |
python | pypa__hatch | src/hatch/env/plugin/interface.py | {
"start": 662,
"end": 36280
} | class ____(ABC):
"""
Example usage:
```python tab="plugin.py"
from hatch.env.plugin.interface import EnvironmentInterface
class SpecialEnvironment(EnvironmentInterface):
PLUGIN_NAME = "special"
...
```
```python tab="hooks.py"
from hatchling.plugin import hookimpl
... | EnvironmentInterface |
python | apache__airflow | providers/amazon/src/airflow/providers/amazon/aws/operators/sagemaker.py | {
"start": 2317,
"end": 9497
} | class ____(AwsBaseOperator[SageMakerHook]):
"""
This is the base operator for all SageMaker operators.
:param aws_conn_id: The Airflow connection used for AWS credentials.
If this is ``None`` or empty then the default boto3 behaviour is used. If
running Airflow in a distributed manner and a... | SageMakerBaseOperator |
python | airbytehq__airbyte | airbyte-integrations/bases/connector-acceptance-test/connector_acceptance_test/utils/asserts.py | {
"start": 2815,
"end": 4935
} | class ____(FormatChecker):
@staticmethod
def check_datetime(value: str) -> bool:
valid_format = timestamp_regex.match(value)
try:
pendulum.parse(value, strict=False)
except ValueError:
valid_time = False
else:
valid_time = True
return v... | CustomFormatChecker |
python | protocolbuffers__protobuf | python/google/protobuf/internal/reflection_test.py | {
"start": 95923,
"end": 96397
} | class ____(unittest.TestCase):
def testEqualityWithMutualRecursion(self):
first_proto = unittest_pb2.TestMutualRecursionA()
second_proto = unittest_pb2.TestMutualRecursionA()
self.assertEqual(first_proto, second_proto)
first_proto.bb.a.bb.optional_int32 = 23
self.assertNotEqual(first_proto, secon... | MutualRecursionEqualityTest |
python | Netflix__metaflow | metaflow/plugins/pypi/conda_decorator.py | {
"start": 293,
"end": 10418
} | class ____(StepDecorator):
"""
Specifies the Conda environment for the step.
Information in this decorator will augment any
attributes set in the `@conda_base` flow-level decorator. Hence,
you can use `@conda_base` to set packages required by all
steps and use `@conda` to specify step-specific ... | CondaStepDecorator |
python | pyca__cryptography | src/cryptography/x509/extensions.py | {
"start": 69719,
"end": 73286
} | class ____:
def __init__(
self,
naming_authority: NamingAuthority | None,
profession_items: Iterable[str],
profession_oids: Iterable[ObjectIdentifier] | None,
registration_number: str | None,
add_profession_info: bytes | None,
) -> None:
if naming_authorit... | ProfessionInfo |
python | microsoft__pyright | packages/pyright-internal/src/tests/samples/typedDictReadOnly2.py | {
"start": 2608,
"end": 2849
} | class ____(TypedDict):
a: int
td10: TD10 = {"a": 0}
n1: TD8 = td10
# This should generate an error because "a" is writable
# and required in TD10 but writable and not required in
# TD9, which means it can be deleted.
n2: TD9 = td10
| TD10 |
python | doocs__leetcode | solution/3600-3699/3607.Power Grid Maintenance/Solution.py | {
"start": 563,
"end": 1285
} | class ____:
def processQueries(
self, c: int, connections: List[List[int]], queries: List[List[int]]
) -> List[int]:
uf = UnionFind(c + 1)
for u, v in connections:
uf.union(u, v)
st = [SortedList() for _ in range(c + 1)]
for i in range(1, c + 1):
s... | Solution |
python | pallets__click | src/click/utils.py | {
"start": 5591,
"end": 16109
} | class ____:
def __init__(self, file: t.IO[t.Any]) -> None:
self._file: t.IO[t.Any] = file
def __getattr__(self, name: str) -> t.Any:
return getattr(self._file, name)
def __enter__(self) -> KeepOpenFile:
return self
def __exit__(
self,
exc_type: type[BaseExcepti... | KeepOpenFile |
python | google__jax | jax/experimental/pallas/ops/tpu/splash_attention/splash_attention_kernel.py | {
"start": 72372,
"end": 78591
} | class ____:
def __init__(
self,
fwd_mask_info: mask_info_lib.MaskInfo,
dq_mask_info: mask_info_lib.MaskInfo | None,
dkv_mask_info: mask_info_lib.MaskInfo | None,
**kwargs,
):
self.kwargs = kwargs
self.fwd_mask_info = fwd_mask_info
self.dq_mask_info = dq_mask_info
self.... | SplashAttentionKernel |
python | getsentry__sentry | src/sentry/integrations/utils/metrics.py | {
"start": 16552,
"end": 17331
} | class ____(EventLifecycleMetric):
"""An instance to be recorded of a integration proxy event."""
interaction_type: IntegrationProxyEventType
def get_metrics_domain(self) -> str:
return "integration_proxy"
def get_interaction_type(self) -> str:
return str(self.interaction_type)
de... | IntegrationProxyEvent |
python | zostera__django-bootstrap4 | example/app/forms.py | {
"start": 2732,
"end": 2772
} | class ____(TestForm):
pass
| ContactForm |
python | great-expectations__great_expectations | great_expectations/data_context/store/gx_cloud_store_backend.py | {
"start": 1176,
"end": 2275
} | class ____(str, Enum):
V0 = "V0"
V1 = "V1"
V2 = "V2"
def get_user_friendly_error_message(
http_exc: requests.exceptions.HTTPError, log_level: int = logging.WARNING
) -> str:
# TODO: define a GeCloud service/client for this & other related behavior
support_message = []
response: requests.Re... | EndpointVersion |
python | lazyprogrammer__machine_learning_examples | rl3/es_mnist.py | {
"start": 1076,
"end": 3695
} | class ____:
def __init__(self, D, M, K):
self.D = D
self.M = M
self.K = K
def init(self):
D, M, K = self.D, self.M, self.K
self.W1 = np.random.randn(D, M) / np.sqrt(D)
self.b1 = np.zeros(M)
self.W2 = np.random.randn(M, K) / np.sqrt(M)
self.b2 = np.zeros(K)
def forward(self, X):
... | ANN |
python | dagster-io__dagster | python_modules/dagster/dagster/_core/definitions/data_version.py | {
"start": 9102,
"end": 9219
} | class ____(Enum):
MISSING = "MISSING"
STALE = "STALE"
FRESH = "FRESH"
@functools.total_ordering
| StaleStatus |
python | PyCQA__pylint | tests/functional/ext/docparams/return/missing_return_doc_required_Numpy.py | {
"start": 1309,
"end": 1762
} | class ____:
"""test_ignores_non_property_return_type_numpy
Example of a class function trying to use `type` as return
documentation in a numpy style docstring
"""
def foo_method(self): # [missing-return-doc, missing-return-type-doc]
"""int: docstring ...
Raises
------
... | Foo |
python | pytorch__pytorch | test/inductor/test_torchinductor.py | {
"start": 10459,
"end": 10562
} | class ____(torch.nn.Module):
def forward(self, x):
return (x,)
@dataclasses.dataclass
| ToTuple |
python | tensorflow__tensorflow | configure.py | {
"start": 1651,
"end": 49467
} | class ____(Exception):
pass
def is_windows():
return platform.system() == 'Windows'
def is_linux():
return platform.system() == 'Linux'
def is_macos():
return platform.system() == 'Darwin'
def is_ppc64le():
return platform.machine() == 'ppc64le'
def is_s390x():
return platform.machine() == 's390x'... | UserInputError |
python | conda__conda | conda/exceptions.py | {
"start": 32131,
"end": 32275
} | class ____(CondaError, IndexError):
def __init__(self, message: str):
msg = f"{message}"
super().__init__(msg)
| CondaIndexError |
python | Textualize__textual | docs/examples/guide/widgets/hello05.py | {
"start": 363,
"end": 680
} | class ____(Static):
"""Display a greeting."""
def on_mount(self) -> None:
self.action_next_word()
def action_next_word(self) -> None:
"""Get a new hello and update the content area."""
hello = next(hellos)
self.update(f"[@click='next_word']{hello}[/], [b]World[/b]!")
| Hello |
python | ethereum__web3.py | web3/exceptions.py | {
"start": 7622,
"end": 7815
} | class ____(PersistentConnectionError, Web3ValueError):
"""
Raised when the read buffer limit is reached while reading data from a persistent
connection.
"""
| ReadBufferLimitReached |
python | walkccc__LeetCode | solutions/3208. Alternating Groups II/3208.py | {
"start": 0,
"end": 339
} | class ____:
def numberOfAlternatingGroups(self, colors: list[int], k: int) -> int:
n = len(colors)
ans = 0
alternating = 1
for i in range(n + k - 2):
alternating = (1 if colors[i % n] == colors[(i - 1) % n]
else alternating + 1)
if alternating >= k:
ans += 1
... | Solution |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-github/source_github/streams.py | {
"start": 28246,
"end": 28648
} | class ____(SemiIncrementalMixin, GithubStream):
"""
API docs: https://docs.github.com/en/rest/issues/events?apiVersion=2022-11-28#list-issue-events-for-a-repository
"""
cursor_field = "created_at"
def path(self, stream_slice: Mapping[str, Any] = None, **kwargs) -> str:
return f"repos/{stre... | IssueEvents |
python | allegroai__clearml | clearml/backend_api/services/v2_23/dataviews.py | {
"start": 98713,
"end": 116770
} | class ____(Response):
"""
Response of dataviews.get_all endpoint.
:param dataviews: List of dataviews
:type dataviews: Sequence[Dataview]
:param scroll_id: Scroll ID that can be used with the next calls to get_all to
retrieve more data
:type scroll_id: str
"""
_service = "datav... | GetAllResponse |
python | dagster-io__dagster | python_modules/libraries/dagster-airbyte/dagster_airbyte/managed/generated/sources.py | {
"start": 179237,
"end": 180719
} | class ____(GeneratedAirbyteSource):
@public
def __init__(
self,
name: str,
start_date: str,
is_sandbox: bool,
client_id: Optional[str] = None,
client_secret: Optional[str] = None,
refresh_token: Optional[str] = None,
):
"""Airbyte Source for Pa... | PaypalTransactionSource |
python | bokeh__bokeh | src/bokeh/core/has_props.py | {
"start": 27682,
"end": 27744
} | class ____(TypedDict):
name: str
default: Any
| OverrideDef |
python | huggingface__transformers | src/transformers/models/openai/tokenization_openai.py | {
"start": 1088,
"end": 4997
} | class ____(TokenizersBackend):
"""
Construct a GPT Tokenizer (backed by HuggingFace's *tokenizers* library). Based on Byte-Pair-Encoding with
the following peculiarities:
- lower case all inputs
- uses BERT's BasicTokenizer for pre-BPE tokenization
This tokenizer inherits from [`TokenizersBack... | OpenAIGPTTokenizer |
python | yandexdataschool__Practical_RL | week06_policy_based/atari_wrappers.py | {
"start": 7128,
"end": 7292
} | class ____(RewardWrapper):
"""Modifes reward to be in {-1, 0, 1} by taking sign of it."""
def reward(self, reward):
return np.sign(reward)
| ClipReward |
python | pydantic__pydantic | tests/test_forward_ref.py | {
"start": 17036,
"end": 18553
} | class ____(BaseModel):
names: list[SelfReferencing] # noqa: F821
"""
)
SelfReferencing = module.SelfReferencing
if sys.version_info >= (3, 10):
assert (
repr(SelfReferencing.model_fields['names']) == 'FieldInfo(annotation=list[SelfReferencing], required=True)'
)
# test... | SelfReferencing |
python | pennersr__django-allauth | allauth/account/forms.py | {
"start": 26382,
"end": 26873
} | class ____(forms.Form):
password = PasswordField(label=_("Password"), autocomplete="current-password")
def __init__(self, *args, **kwargs):
self.user = kwargs.pop("user")
super().__init__(*args, **kwargs)
def clean_password(self):
password = self.cleaned_data.get("password")
... | ReauthenticateForm |
python | jazzband__django-waffle | waffle/models.py | {
"start": 13579,
"end": 15406
} | class ____(BaseModel):
"""A feature switch.
Switches are active, or inactive, globally.
"""
name = models.CharField(
max_length=100,
unique=True,
help_text=_('The human/computer readable name.'),
verbose_name=_('Name'),
)
active = models.BooleanField(
d... | AbstractBaseSwitch |
python | PyCQA__pylint | tests/functional/s/super/super_init_not_called.py | {
"start": 1846,
"end": 2071
} | class ____(abc.ABC):
def __init__(self, param: int) -> None:
self.param = param + 1
def abstract_method(self) -> str:
"""This needs to be implemented."""
raise NotImplementedError()
| AbstractBase |
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