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 | airbytehq__airbyte | airbyte-integrations/connectors/source-shopify/source_shopify/streams/base_streams.py | {
"start": 30841,
"end": 41594
} | class ____(IncrementalShopifyStream):
filter_field = "updated_at"
cursor_field = "updated_at"
data_field = "graphql"
parent_stream_class: Optional[Union[ShopifyStream, IncrementalShopifyStream]] = None
def __init__(self, config: Dict) -> None:
super().__init__(config)
# define BULK... | IncrementalShopifyGraphQlBulkStream |
python | rapidsai__cudf | python/cudf_polars/cudf_polars/utils/config.py | {
"start": 33434,
"end": 35362
} | class ____(str, enum.Enum):
"""
The policy to use for acquiring new CUDA streams.
* ``CUDAStreamPolicy.DEFAULT`` : Use the default CUDA stream.
* ``CUDAStreamPolicy.NEW`` : Create a new CUDA stream.
"""
DEFAULT = "default"
NEW = "new"
def _convert_cuda_stream_policy(
user_cuda_stream... | CUDAStreamPolicy |
python | huggingface__transformers | src/transformers/models/conditional_detr/image_processing_conditional_detr.py | {
"start": 29363,
"end": 80160
} | class ____(BaseImageProcessor):
r"""
Constructs a Conditional Detr image processor.
Args:
format (`str`, *optional*, defaults to `"coco_detection"`):
Data format of the annotations. One of "coco_detection" or "coco_panoptic".
do_resize (`bool`, *optional*, defaults to `True`):
... | ConditionalDetrImageProcessor |
python | ray-project__ray | rllib/connectors/learner/add_next_observations_from_episodes_to_train_batch.py | {
"start": 374,
"end": 3880
} | class ____(ConnectorV2):
"""Adds the NEXT_OBS column with the correct episode observations to train batch.
- Operates on a list of Episode objects.
- Gets all observation(s) from all the given episodes (except the very first ones)
and adds them to the batch under construction in the NEXT_OBS column (as... | AddNextObservationsFromEpisodesToTrainBatch |
python | kubernetes-client__python | kubernetes/client/models/v1alpha1_storage_version_migration_list.py | {
"start": 383,
"end": 7360
} | 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... | V1alpha1StorageVersionMigrationList |
python | mlflow__mlflow | tests/pyfunc/test_chat_model.py | {
"start": 4236,
"end": 4551
} | class ____(mlflow.pyfunc.ChatModel):
@mlflow.trace
def predict(
self, context, messages: list[ChatMessage], params: ChatParams
) -> ChatCompletionResponse:
mock_response = get_mock_response(messages, params)
return ChatCompletionResponse.from_dict(mock_response)
| ChatModelWithTrace |
python | getsentry__sentry | tests/sentry/api/endpoints/release_thresholds/health_checks/test_is_crash_free_rate_healthy.py | {
"start": 5523,
"end": 12943
} | class ____(TestCase):
def setUp(self) -> None:
self.project1 = self.create_project(name="foo", organization=self.organization)
self.release1 = Release.objects.create(version="v1", organization=self.organization)
self.sessions_data = mock_sessions_data
@patch(
"sentry.api.endpoin... | CrashFreeRateThresholdCheckTest |
python | getsentry__sentry | tests/sentry/seer/autofix/test_autofix.py | {
"start": 18661,
"end": 26085
} | class ____(APITestCase, SnubaTestCase):
@patch("sentry.seer.explorer.utils.get_from_profiling_service")
def test_get_profile_from_trace_tree_basic(self, mock_get_from_profiling_service) -> None:
"""Test finding a profile for a matching transaction in trace tree."""
# Setup mock event with transa... | TestGetProfileFromTraceTree |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-github/source_github/github_schema.py | {
"start": 485250,
"end": 485759
} | class ____(sgqlc.types.Type):
"""Autogenerated return type of CancelSponsorship"""
__schema__ = github_schema
__field_names__ = ("client_mutation_id", "sponsors_tier")
client_mutation_id = sgqlc.types.Field(String, graphql_name="clientMutationId")
"""A unique identifier for the client performing th... | CancelSponsorshipPayload |
python | kamyu104__LeetCode-Solutions | Python/count-triplets-with-even-xor-set-bits-i.py | {
"start": 93,
"end": 742
} | class ____(object):
def tripletCount(self, a, b, c):
"""
:type a: List[int]
:type b: List[int]
:type c: List[int]
:rtype: int
"""
def popcount(x):
return bin(x).count('1')
def count(a):
odd = sum(popcount(x)&1 for x in a)
... | Solution |
python | microsoft__pyright | packages/pyright-internal/src/tests/samples/decorator4.py | {
"start": 406,
"end": 628
} | class ____:
def __init__(self, a, b, c):
pass
v1 = ClassA(1, 2, 3)
reveal_type(v1, expected_text="ClassA")
@decorator1
def func1() -> int:
return 3
v2 = func1()
reveal_type(v2, expected_text="int")
| ClassA |
python | ansible__ansible | test/units/module_utils/basic/test_no_log.py | {
"start": 1694,
"end": 6085
} | class ____:
OMIT = 'VALUE_SPECIFIED_IN_NO_LOG_PARAMETER'
dataset_no_remove = (
('string', frozenset(['nope'])),
(1234, frozenset(['4321'])),
(False, frozenset(['4321'])),
(1.0, frozenset(['4321'])),
(['string', 'strang', 'strung'], frozenset(['nope'])),
({'one': 1... | TestRemoveValues |
python | ray-project__ray | python/ray/_private/event/export_event_logger.py | {
"start": 1096,
"end": 3006
} | class ____(Enum):
"""Enum class representing different types of export event logs.
Each enum value contains a log type name and a set of supported event data types.
Attributes:
TRAIN_STATE: Export events related to training state, supporting train run and attempt events.
SUBMISSION_JOB: Ex... | EventLogType |
python | openai__openai-python | src/openai/types/responses/response_reasoning_item_param.py | {
"start": 520,
"end": 744
} | class ____(TypedDict, total=False):
text: Required[str]
"""The reasoning text from the model."""
type: Required[Literal["reasoning_text"]]
"""The type of the reasoning text. Always `reasoning_text`."""
| Content |
python | ray-project__ray | python/ray/_private/metrics_agent.py | {
"start": 1684,
"end": 5083
} | class ____(View):
"""Gauge representation of opencensus view.
This class is used to collect process metrics from the reporter agent.
Cpp metrics should be collected in a different way.
"""
def __init__(self, name, description, unit, tags: List[str]):
if _is_invalid_metric_name(name):
... | Gauge |
python | numba__numba | numba/tests/test_random.py | {
"start": 65375,
"end": 67866
} | class ____(ConcurrencyBaseTest):
"""
Check the PRNG behaves well in child processes.
"""
# Avoid nested multiprocessing AssertionError
# ("daemonic processes are not allowed to have children")
_numba_parallel_test_ = False
def extract_in_processes(self, nprocs, extract_randomness):
... | TestProcesses |
python | apache__airflow | dev/breeze/tests/test_ui_commands.py | {
"start": 3161,
"end": 6378
} | class ____:
def test_compare_keys_identical(self, tmp_path):
# Create temporary locale files
en_dir = tmp_path / "en"
en_dir.mkdir()
de_dir = tmp_path / "de"
de_dir.mkdir()
test_data = {"greeting": "Hello", "farewell": "Goodbye"}
(en_dir / "test.json").write... | TestCompareKeys |
python | tensorflow__tensorflow | tensorflow/python/keras/constraints.py | {
"start": 5583,
"end": 7620
} | class ____(Constraint):
"""MinMaxNorm weight constraint.
Constrains the weights incident to each hidden unit
to have the norm between a lower bound and an upper bound.
Also available via the shortcut function `tf.keras.constraints.min_max_norm`.
Args:
min_value: the minimum norm for the incoming weight... | MinMaxNorm |
python | modin-project__modin | modin/tests/pandas/native_df_interoperability/test_compiler_caster.py | {
"start": 7264,
"end": 7877
} | class ____(CalculatorTestQc):
"Represents a query compiler which knows a lot, and wants to avoid work"
def get_backend(self):
return "Lazy"
# encorage other engines to take my workload
def move_to_cost(self, other_qc_cls, api_cls_name, op, arguments):
return QCCoercionCost.COST_ZERO
... | OmniscientLazyQC |
python | pytorch__pytorch | torch/nn/modules/fold.py | {
"start": 164,
"end": 6671
} | class ____(Module):
(
r"""Combines an array of sliding local blocks into a large containing tensor.
Consider a batched :attr:`input` tensor containing sliding local blocks,
e.g., patches of images, of shape :math:`(N, C \times \prod(\text{kernel\_size}), L)`,
where :math:`N` is batch dimension... | Fold |
python | psf__black | tests/data/cases/docstring_no_string_normalization.py | {
"start": 37,
"end": 1814
} | class ____:
'''
A multiline class docstring.
'''
def AnEquallyLonelyMethod(self):
'''
A multiline method docstring'''
pass
def one_function():
'''This is a docstring with a single line of text.'''
pass
def shockingly_the_quotes_are_normalized():
'''This is a multi... | ALonelyClass |
python | google__jax | tests/pallas/tpu_pallas_test.py | {
"start": 2547,
"end": 2895
} | class ____(jtu.JaxTestCase):
INTERPRET: bool = False
def setUp(self):
if not jtu.test_device_matches(['tpu']) and not self.INTERPRET:
self.skipTest('Test requires TPUs, or interpret mode')
super().setUp()
def pallas_call(self, *args, **kwargs):
return pl.pallas_call(*args, **kwargs, interpret=... | PallasBaseTest |
python | streamlit__streamlit | lib/tests/streamlit/runtime/state/test_presentation.py | {
"start": 1163,
"end": 12636
} | class ____:
def __init__(self) -> None:
self._new_widget_state = _FakeWStates()
def _get_widget_metadata(self, widget_id: str) -> WidgetMetadata[Any] | None:
return self._new_widget_state.widget_metadata.get(widget_id)
def test_apply_presenter_returns_base_when_no_meta() -> None:
"""Retur... | _FakeSession |
python | gevent__gevent | src/greentest/3.10/test_socket.py | {
"start": 77572,
"end": 80783
} | class ____(ThreadedCANSocketTest):
def __init__(self, methodName='runTest'):
ThreadedCANSocketTest.__init__(self, methodName=methodName)
@classmethod
def build_can_frame(cls, can_id, data):
"""Build a CAN frame."""
can_dlc = len(data)
data = data.ljust(8, b'\x00')
r... | CANTest |
python | pypa__pipenv | pipenv/vendor/click/exceptions.py | {
"start": 2523,
"end": 4137
} | class ____(UsageError):
"""An exception that formats out a standardized error message for a
bad parameter. This is useful when thrown from a callback or type as
Click will attach contextual information to it (for instance, which
parameter it is).
.. versionadded:: 2.0
:param param: the parame... | BadParameter |
python | pydantic__pydantic | pydantic-core/python/pydantic_core/core_schema.py | {
"start": 127891,
"end": 129463
} | class ____(TypedDict, total=False):
name: Required[str]
schema: Required[CoreSchema]
mode: Literal[
'positional_only',
'positional_or_keyword',
'keyword_only',
'var_args',
'var_kwargs_uniform',
'var_kwargs_unpacked_typed_dict',
] # default positional_or_k... | ArgumentsV3Parameter |
python | django__django | django/contrib/auth/forms.py | {
"start": 1944,
"end": 2701
} | class ____(forms.CharField):
def to_python(self, value):
value = super().to_python(value)
if self.max_length is not None and len(value) > self.max_length:
# Normalization can increase the string length (e.g.
# "ff" -> "ff", "½" -> "1⁄2") but cannot reduce it, so there is no
... | UsernameField |
python | great-expectations__great_expectations | great_expectations/datasource/fluent/alloy_datasource.py | {
"start": 358,
"end": 984
} | class ____(SQLDatasource):
"""Adds an alloy datasource to the data context.
Args:
name: The name of this alloy datasource.
connection_string: The connection string used to connect to the postgres database.
For example: "postgresql+psycopg2://<username>:<password>@<hostname>:<port>/<... | AlloyDatasource |
python | pandas-dev__pandas | asv_bench/benchmarks/rolling.py | {
"start": 10461,
"end": 10777
} | class ____:
params = ["var", "std", "cov", "corr"]
param_names = ["method"]
def setup(self, method):
df = pd.DataFrame({"A": range(50), "B": range(50)})
self.gb_ewm = df.groupby("A").ewm(com=1.0)
def time_groupby_method(self, method):
getattr(self.gb_ewm, method)()
| GroupbyEWM |
python | ipython__ipython | IPython/lib/demo.py | {
"start": 21775,
"end": 22608
} | class ____:
"""Use this mixin to make Demo classes with less visual clutter.
Demos using this mixin will clear the screen before every block and use
blank marquees.
Note that in order for the methods defined here to actually override those
of the classes it's mixed with, it must go /first/ in the ... | ClearMixin |
python | google__jax | jax/experimental/jax2tf/tests/call_tf_test.py | {
"start": 30868,
"end": 40538
} | class ____(tf_test_util.JaxToTfTestCase):
"""Reloading output of jax2tf into JAX with call_tf."""
def setUp(self):
if tf is None:
raise unittest.SkipTest("Test requires tensorflow")
# TODO(b/171320191): this line works around a missing context initialization
# bug in TensorFlow.
_ = tf.add(1,... | RoundTripToJaxTest |
python | walkccc__LeetCode | solutions/1027. Longest Arithmetic Subsequence/1027.py | {
"start": 0,
"end": 426
} | class ____:
def longestArithSeqLength(self, nums: list[int]) -> int:
n = len(nums)
ans = 0
# dp[i][k] := the length of the longest arithmetic subsequence of nums[0..i]
# with k = diff + 500
dp = [[0] * 1001 for _ in range(n)]
for i in range(n):
for j in range(i):
k = nums[i] - n... | Solution |
python | agronholm__apscheduler | src/apscheduler/triggers/cron/expressions.py | {
"start": 903,
"end": 2109
} | class ____:
value_re: ClassVar[Pattern] = re.compile(r"\*(?:/(?P<step>\d+))?$")
step: int | None = attrs.field(
converter=as_int,
validator=optional([instance_of(int), positive_number]),
default=None,
)
def validate_range(self, field_name: str, min_value: int, max_value: int) -... | AllExpression |
python | pydantic__pydantic | pydantic/v1/errors.py | {
"start": 3058,
"end": 3464
} | class ____:
code: str
msg_template: str
def __init__(self, **ctx: Any) -> None:
self.__dict__ = ctx
def __str__(self) -> str:
return self.msg_template.format(**self.__dict__)
def __reduce__(self) -> Tuple[Callable[..., 'PydanticErrorMixin'], Tuple[Type['PydanticErrorMixin'], 'Dict... | PydanticErrorMixin |
python | numba__numba | numba/cuda/simulator/cudadrv/devicearray.py | {
"start": 3378,
"end": 13789
} | class ____(object):
'''
Implements the interface of a DeviceArray/DeviceRecord, but mostly just
wraps a NumPy array.
'''
__cuda_ndarray__ = True # There must be gpu_data attribute
def __init__(self, ary, stream=0):
self._ary = ary
self.stream = stream
@property
def al... | FakeCUDAArray |
python | scrapy__scrapy | tests/spiders.py | {
"start": 10338,
"end": 11150
} | class ____(MetaSpider):
seed = None
callback_func = None
errback_func = None
async def start(self):
if isinstance(self.seed, Request):
yield self.seed.replace(callback=self.parse, errback=self.on_error)
else:
yield Request(self.seed, callback=self.parse, errback=... | SingleRequestSpider |
python | doocs__leetcode | solution/1500-1599/1582.Special Positions in a Binary Matrix/Solution.py | {
"start": 0,
"end": 447
} | class ____:
def numSpecial(self, mat: List[List[int]]) -> int:
rows = [0] * len(mat)
cols = [0] * len(mat[0])
for i, row in enumerate(mat):
for j, x in enumerate(row):
rows[i] += x
cols[j] += x
ans = 0
for i, row in enumerate(mat):
... | Solution |
python | Pylons__pyramid | src/pyramid/httpexceptions.py | {
"start": 16786,
"end": 17275
} | class ____(_HTTPMove):
"""
subclass of :class:`~_HTTPMove`
This indicates that the requested resource corresponds to any one
of a set of representations, each with its own specific location,
and agent-driven negotiation information is being provided so that
the user can select a preferred repre... | HTTPMultipleChoices |
python | getsentry__sentry | tests/sentry/receivers/outbox/test_control.py | {
"start": 594,
"end": 3246
} | class ____(TestCase):
identifier = 1
@patch("sentry.receivers.outbox.control.maybe_process_tombstone")
def test_process_integration_updates(self, mock_maybe_process: MagicMock) -> None:
process_integration_updates(
object_identifier=self.identifier, region_name=_TEST_REGION.name
... | ProcessControlOutboxTest |
python | dagster-io__dagster | python_modules/dagster-graphql/dagster_graphql/test/utils.py | {
"start": 1244,
"end": 1300
} | class ____(TypedDict):
path: Sequence[str]
| GqlAssetKey |
python | aio-libs__aiohttp | aiohttp/payload.py | {
"start": 1001,
"end": 1108
} | class ____(Exception):
"""Raised when no payload factory is found for the given data type."""
| LookupError |
python | huggingface__transformers | src/transformers/models/data2vec/modeling_data2vec_vision.py | {
"start": 29980,
"end": 31345
} | class ____(PreTrainedModel):
config: Data2VecVisionConfig
base_model_prefix = "data2vec_vision"
input_modalities = ("image",)
main_input_name = "pixel_values"
supports_gradient_checkpointing = True
_no_split_modules = ["Data2VecVisionLayer"]
_keys_to_ignore_on_load_unexpected = [r".*relative... | Data2VecVisionPreTrainedModel |
python | ray-project__ray | python/ray/serve/tests/common/test_modules.py | {
"start": 867,
"end": 1588
} | class ____:
def __init__(
self,
m1: DeploymentHandle,
m2: Union[DeploymentHandle, Dict[str, DeploymentHandle]],
m2_nested: bool = False,
):
self.m1 = m1
self.m2 = m2.get(NESTED_HANDLE_KEY) if m2_nested else m2
async def __call__(self, req):
if isinsta... | Combine |
python | getsentry__sentry | src/sentry/issues/endpoints/project_performance_issue_settings.py | {
"start": 11573,
"end": 16844
} | class ____(ProjectEndpoint):
owner = ApiOwner.ISSUE_DETECTION_BACKEND
publish_status = {
"DELETE": ApiPublishStatus.PRIVATE,
"GET": ApiPublishStatus.PRIVATE,
"PUT": ApiPublishStatus.PRIVATE,
}
permission_classes = (ProjectSettingPermission,)
def has_feature(self, project, re... | ProjectPerformanceIssueSettingsEndpoint |
python | spack__spack | lib/spack/spack/build_environment.py | {
"start": 36774,
"end": 49276
} | class ____:
"""This class encapsulates the logic to determine environment modifications, and is used as
well to set globals in modules of package.py."""
def __init__(self, *specs: spack.spec.Spec, context: Context) -> None:
"""Construct a ModificationsFromDag object.
Args:
specs... | SetupContext |
python | spyder-ide__spyder | spyder/plugins/variableexplorer/widgets/arrayeditor.py | {
"start": 2061,
"end": 2116
} | class ____:
Options = 'options_menu'
| ArrayEditorMenus |
python | huggingface__transformers | src/transformers/models/musicgen_melody/modeling_musicgen_melody.py | {
"start": 33630,
"end": 57973
} | class ____(MusicgenMelodyPreTrainedModel, GenerationMixin):
output_modalities = ("audio",)
def __init__(self, config: MusicgenMelodyDecoderConfig):
super().__init__(config)
self.model = MusicgenMelodyModel(config)
self.num_codebooks = config.num_codebooks
self.lm_heads = nn.Mo... | MusicgenMelodyForCausalLM |
python | xlwings__xlwings | xlwings/_xlwindows.py | {
"start": 64090,
"end": 64721
} | class ____(base_classes.Names):
def __init__(self, xl):
self.xl = xl
@property
def api(self):
return self.xl
def __call__(self, name_or_index):
return Name(xl=self.xl(name_or_index))
def contains(self, name_or_index):
try:
self.xl(name_or_index)
... | Names |
python | huggingface__transformers | src/transformers/models/aria/modeling_aria.py | {
"start": 21562,
"end": 23737
} | class ____(GradientCheckpointingLayer):
"""
Aria Text Decoder Layer.
This class defines a single decoder layer in the language model, incorporating self-attention and Mixture of Experts (MoE) feed-forward network.
Args:
config (`AriaTextConfig`):
Configuration object for the text c... | AriaTextDecoderLayer |
python | huggingface__transformers | src/transformers/models/imagegpt/modeling_imagegpt.py | {
"start": 32832,
"end": 37156
} | class ____(ImageGPTPreTrainedModel):
def __init__(self, config: ImageGPTConfig):
super().__init__(config)
self.num_labels = config.num_labels
self.transformer = ImageGPTModel(config)
self.score = nn.Linear(config.n_embd, self.num_labels, bias=False)
# Initialize weights and ... | ImageGPTForImageClassification |
python | ray-project__ray | python/ray/data/tests/mock_http_server.py | {
"start": 423,
"end": 2463
} | class ____(BaseHTTPRequestHandler):
files = {
"/index/data_file": data,
"/index": index,
}
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
def _respond(self, code=200, headers=None, data=b""):
headers = headers or {}
headers.update({"User-... | HTTPTestHandler |
python | lepture__authlib | authlib/oauth2/rfc8628/errors.py | {
"start": 600,
"end": 922
} | class ____(OAuth2Error):
"""The "device_code" has expired, and the device authorization
session has concluded. The client MAY commence a new device
authorization request but SHOULD wait for user interaction before
restarting to avoid unnecessary polling.
"""
error = "expired_token"
| ExpiredTokenError |
python | psf__black | tests/data/cases/nested_stub.py | {
"start": 1070,
"end": 1243
} | class ____:
class Nested1:
foo: int
def bar(self): ...
field = 1
class Nested2:
def bar(self): ...
foo: int
field = 1
| TopLevel |
python | realpython__materials | django-vue-graphql/source_code_final/back_end/blog/admin.py | {
"start": 184,
"end": 258
} | class ____(admin.ModelAdmin):
model = Tag
@admin.register(Post)
| TagAdmin |
python | run-llama__llama_index | llama-index-instrumentation/tests/test_dispatcher.py | {
"start": 1355,
"end": 1593
} | class ____(BaseEventHandler):
events: List[BaseEvent] = []
@classmethod
def class_name(cls):
return "_TestEventHandler"
def handle(self, e: BaseEvent): # type:ignore
self.events.append(e)
| _TestEventHandler |
python | apache__airflow | providers/amazon/tests/unit/amazon/aws/triggers/test_neptune.py | {
"start": 2459,
"end": 3662
} | class ____:
def test_serialization(self):
"""
Asserts that the TaskStateTrigger correctly serializes its arguments
and classpath.
"""
trigger = NeptuneClusterStoppedTrigger(db_cluster_id=CLUSTER_ID)
classpath, kwargs = trigger.serialize()
assert classpath == "... | TestNeptuneClusterStoppedTrigger |
python | google__flatbuffers | tests/namespace_test/NamespaceC/TableInC.py | {
"start": 1987,
"end": 3184
} | class ____(object):
# TableInCT
def __init__(self):
self.referToA1 = None # type: Optional[TableInFirstNST]
self.referToA2 = None # type: Optional[SecondTableInAT]
@classmethod
def InitFromBuf(cls, buf, pos):
tableInC = TableInC()
tableInC.Init(buf, pos)
return cls.InitFromObj(tableInC)
... | TableInCT |
python | microsoft__pyright | packages/pyright-internal/src/tests/samples/with2.py | {
"start": 254,
"end": 944
} | class ____(object):
def __enter__(self: _T1) -> _T1:
return self
def __exit__(
self,
t: type | None = None,
exc: BaseException | None = None,
tb: Any | None = None,
) -> bool:
return True
def requires_int(val: int):
pass
def requires_class3(val: Class... | Class3 |
python | ray-project__ray | python/ray/tune/tests/_test_trial_runner_pg.py | {
"start": 482,
"end": 9392
} | class ____(unittest.TestCase):
def setUp(self):
os.environ["TUNE_GLOBAL_CHECKPOINT_S"] = "10000"
os.environ["TUNE_MAX_PENDING_TRIALS_PG"] = "auto" # Reset default
self.head_cpus = 8
self.head_gpus = 4
self.head_custom = 16
self.cluster = Cluster(
initial... | TrialRunnerPlacementGroupTest |
python | huggingface__transformers | src/transformers/models/janus/modular_janus.py | {
"start": 31885,
"end": 33740
} | class ____(ChameleonVQVAE):
_no_split_modules = [
"JanusVQVAEAttnBlock",
"JanusVQVAEResnetBlock",
"JanusVQVAEVectorQuantizer",
]
main_input_name = "pixel_values"
def __init__(self, config: JanusVQVAEConfig):
super().__init__(config)
self.decoder = JanusVQVAEDecod... | JanusVQVAE |
python | huggingface__transformers | src/transformers/models/janus/modeling_janus.py | {
"start": 32599,
"end": 35694
} | class ____(nn.Module):
def __init__(self, config):
super().__init__()
self.num_resolutions = len(config.channel_multiplier)
self.num_res_blocks = config.num_res_blocks
base_channels = config.base_channels
in_channels = config.in_channels
double_latent = config.double... | JanusVQVAEEncoder |
python | sqlalchemy__sqlalchemy | test/orm/dml/test_bulk_statements.py | {
"start": 38790,
"end": 72141
} | class ____:
use_sentinel = False
randomize_returning = False
def assert_for_downgrade(self, *, sort_by_parameter_order):
if (
not sort_by_parameter_order
or not self.randomize_returning
or not testing.against(["postgresql", "mssql", "mariadb"])
):
... | BulkDMLReturningInhTest |
python | ray-project__ray | python/ray/train/v2/tests/test_metrics.py | {
"start": 628,
"end": 9002
} | class ____:
"""Mock class for ray.util.metrics.Gauge."""
def __init__(self, name: str, description: str, tag_keys: tuple = ()):
self._values: dict[set[str], float] = {}
def set(self, value: float, tags: dict):
self._values[frozenset(tags.items())] = value
@pytest.fixture
def mock_gauge(m... | MockGauge |
python | huggingface__transformers | examples/modular-transformers/modeling_dummy_bert.py | {
"start": 22448,
"end": 24453
} | class ____(PreTrainedModel):
config_class = DummyBertConfig
base_model_prefix = "dummy_bert"
supports_gradient_checkpointing = True
_supports_flash_attn = True
_supports_sdpa = True
_supports_flex_attn = True
_supports_attention_backend = True
_can_record_outputs = {
"hidden_stat... | DummyBertPreTrainedModel |
python | Lightning-AI__lightning | tests/tests_pytorch/callbacks/test_stochastic_weight_avg.py | {
"start": 1879,
"end": 3179
} | class ____(BoringModel):
def __init__(
self, batchnorm: bool = True, interval: str = "epoch", iterable_dataset: bool = False, crash_on_epoch=None
):
super().__init__()
layers = [nn.Linear(32, 32)]
if batchnorm:
layers.append(nn.BatchNorm1d(32))
layers += [nn.R... | SwaTestModel |
python | pypa__pipenv | pipenv/utils/dependencies.py | {
"start": 3103,
"end": 39601
} | class ____:
"""A hack, which allows us to tell resolver which version of Python we're using."""
def __init__(self, python_path):
self.python_path = python_path
def __enter__(self):
if self.python_path:
os.environ["PIP_PYTHON_PATH"] = str(self.python_path)
def __exit__(self... | HackedPythonVersion |
python | pypa__setuptools | pkg_resources/__init__.py | {
"start": 121840,
"end": 126232
} | class ____(Warning):
"""
Base class for warning about deprecations in ``pkg_resources``
This class is not derived from ``DeprecationWarning``, and as such is
visible by default.
"""
# Ported from ``setuptools`` to avoid introducing an import inter-dependency:
_LOCALE_ENCODING = "locale" if sys.ve... | PkgResourcesDeprecationWarning |
python | kamyu104__LeetCode-Solutions | Python/furthest-point-from-origin.py | {
"start": 36,
"end": 401
} | class ____(object):
def furthestDistanceFromOrigin(self, moves):
"""
:type moves: str
:rtype: int
"""
curr = cnt = 0
for x in moves:
if x == 'L':
curr -= 1
elif x == 'R':
curr += 1
else:
... | Solution |
python | graphql-python__graphene | graphene/types/structures.py | {
"start": 1734,
"end": 3121
} | class ____(Structure):
"""
Non-Null Modifier
A non-null is a kind of type marker, a wrapping type which points to another
type. Non-null types enforce that their values are never null and can ensure
an error is raised if this ever occurs during a request. It is useful for
fields which you can m... | NonNull |
python | numba__numba | numba/core/typeinfer.py | {
"start": 29650,
"end": 30752
} | class ____(SetItemRefinement):
def __init__(self, target, index, value, loc):
self.target = target
self.index = index
self.value = value
self.loc = loc
def __call__(self, typeinfer):
with new_error_context("typing of setitem at {loc}", loc=self.loc):
typevars... | SetItemConstraint |
python | ray-project__ray | python/ray/dashboard/modules/reporter/gpu_providers.py | {
"start": 13522,
"end": 16900
} | class ____(GpuProvider):
"""AMD GPU provider using pyamdsmi."""
def __init__(self):
super().__init__()
self._pyamdsmi = None
def get_provider_name(self) -> GpuProviderType:
return GpuProviderType.AMD
def is_available(self) -> bool:
"""Check if AMD GPUs are available.""... | AmdGpuProvider |
python | allegroai__clearml | clearml/storage/helper.py | {
"start": 42280,
"end": 58574
} | class ____(_Driver):
scheme = "azure"
_containers = {}
_max_connections = deferred_config("azure.storage.max_connections", 0)
class _Container(object):
def __init__(
self,
name: str,
config: AzureContainerConfigurations,
account_url: str,
... | _AzureBlobServiceStorageDriver |
python | apache__airflow | providers/amazon/src/airflow/providers/amazon/aws/triggers/bedrock.py | {
"start": 3964,
"end": 5423
} | class ____(AwsBaseWaiterTrigger):
"""
Trigger when a provisioned throughput job is complete.
:param provisioned_model_id: The ARN or name of the provisioned throughput.
:param waiter_delay: The amount of time in seconds to wait between attempts. (default: 120)
:param waiter_max_attempts: The maxim... | BedrockProvisionModelThroughputCompletedTrigger |
python | weaviate__weaviate-python-client | weaviate/collections/batch/base.py | {
"start": 5834,
"end": 6003
} | class ____:
concurrency: int
_BatchMode: TypeAlias = Union[
_DynamicBatching, _FixedSizeBatching, _RateLimitedBatching, _ServerSideBatching
]
| _ServerSideBatching |
python | pandas-dev__pandas | asv_bench/benchmarks/series_methods.py | {
"start": 1278,
"end": 1731
} | class ____:
params = ["int", "datetime"]
param_names = ["dtype"]
def setup(self, dtype):
N = 10**6
data = {
"int": np.random.randint(1, 10, N),
"datetime": date_range("2000-01-01", freq="s", periods=N),
}
self.s = Series(data[dtype])
if dtype ... | Dropna |
python | walkccc__LeetCode | solutions/1672. Richest Customer Wealth/1672.py | {
"start": 0,
"end": 112
} | class ____:
def maximumWealth(self, accounts: list[list[int]]) -> int:
return max(map(sum, accounts))
| Solution |
python | getsentry__sentry | src/sentry/api/endpoints/project_rule_enable.py | {
"start": 708,
"end": 2705
} | class ____(ProjectEndpoint):
publish_status = {
"PUT": ApiPublishStatus.EXPERIMENTAL,
}
owner = ApiOwner.ISSUES
permission_classes = (ProjectAlertRulePermission,)
def put(self, request: Request, project, rule_id) -> Response:
try:
rule = Rule.objects.get(id=rule_id, proj... | ProjectRuleEnableEndpoint |
python | openai__openai-python | tests/api_resources/fine_tuning/test_jobs.py | {
"start": 482,
"end": 13404
} | class ____:
parametrize = pytest.mark.parametrize("client", [False, True], indirect=True, ids=["loose", "strict"])
@parametrize
def test_method_create(self, client: OpenAI) -> None:
job = client.fine_tuning.jobs.create(
model="gpt-4o-mini",
training_file="file-abc123",
... | TestJobs |
python | docker__docker-py | docker/api/swarm.py | {
"start": 198,
"end": 18089
} | class ____:
def create_swarm_spec(self, *args, **kwargs):
"""
Create a :py:class:`docker.types.SwarmSpec` instance that can be used
as the ``swarm_spec`` argument in
:py:meth:`~docker.api.swarm.SwarmApiMixin.init_swarm`.
Args:
task_history_retention_limit (int):... | SwarmApiMixin |
python | zarr-developers__zarr-python | src/zarr/core/dtype/npy/bytes.py | {
"start": 3218,
"end": 3992
} | class ____(DTypeConfig_V2[Literal["|O"], Literal["vlen-bytes"]]):
"""
A wrapper around the JSON representation of the ``VariableLengthBytes`` data type in Zarr V2.
The ``name`` field of this class contains the value that would appear under the
``dtype`` field in Zarr V2 array metadata. The ``object_cod... | VariableLengthBytesJSON_V2 |
python | huggingface__transformers | src/transformers/models/align/modeling_align.py | {
"start": 22832,
"end": 25311
} | class ____(nn.Module):
def __init__(self, config):
super().__init__()
if config.hidden_size % config.num_attention_heads != 0 and not hasattr(config, "embedding_size"):
raise ValueError(
f"The hidden size ({config.hidden_size}) is not a multiple of the number of attention... | AlignTextSelfAttention |
python | google__jax | docs/autodidax.py | {
"start": 16910,
"end": 22473
} | class ____(Trace):
pure = lift = lambda self, val: JVPTracer(self, val, zeros_like(val))
def process_primitive(self, primitive, tracers, params):
primals_in, tangents_in = unzip2((t.primal, t.tangent) for t in tracers)
jvp_rule = jvp_rules[primitive]
primal_outs, tangent_outs = jvp_rule(primals_in, tan... | JVPTrace |
python | prompt-toolkit__python-prompt-toolkit | src/prompt_toolkit/win32_types.py | {
"start": 5151,
"end": 5551
} | class ____(Structure):
"""
http://msdn.microsoft.com/en-us/library/windows/desktop/aa379560(v=vs.85).aspx
"""
if TYPE_CHECKING:
nLength: int
lpSecurityDescriptor: int
bInheritHandle: int # BOOL comes back as 'int'.
_fields_ = [
("nLength", DWORD),
("lpSecur... | SECURITY_ATTRIBUTES |
python | mlflow__mlflow | mlflow/telemetry/events.py | {
"start": 3662,
"end": 3927
} | class ____(Event):
name: str = "create_registered_model"
@classmethod
def parse(cls, arguments: dict[str, Any]) -> dict[str, Any] | None:
tags = arguments.get("tags") or {}
return {"is_prompt": _is_prompt(tags)}
| CreateRegisteredModelEvent |
python | walkccc__LeetCode | solutions/828. Count Unique Characters of All Substrings of a Given String/828-2.py | {
"start": 0,
"end": 628
} | class ____:
def uniqueLetterString(self, s: str) -> int:
ans = 0
# lastSeen[c] := the index of the last time ('a' + i) appeared
lastSeen = collections.defaultdict(lambda: -1)
# prevSeen[c] := the previous index of the last time ('a' + i) appeared
prevLastSeen = collections.defaultdict(lambda: -1)
... | Solution |
python | ray-project__ray | python/ray/autoscaler/_private/gcp/node_provider.py | {
"start": 1818,
"end": 12623
} | class ____(NodeProvider):
def __init__(self, provider_config: dict, cluster_name: str):
NodeProvider.__init__(self, provider_config, cluster_name)
self.lock = RLock()
self._construct_clients()
self.cache_stopped_nodes = provider_config.get("cache_stopped_nodes", False)
# Cac... | GCPNodeProvider |
python | lxml__lxml | src/lxml/tests/test_external_document.py | {
"start": 230,
"end": 4748
} | class ____(HelperTestCase):
def setUp(self):
try:
import ctypes
from ctypes import pythonapi
from ctypes.util import find_library
except ImportError:
raise unittest.SkipTest("ctypes support missing")
def wrap(func, restype, *argtypes):
... | ExternalDocumentTestCase |
python | keras-team__keras | keras/src/ops/nn.py | {
"start": 1305,
"end": 2055
} | class ____(Operation):
def call(self, x):
return backend.nn.relu6(x)
def compute_output_spec(self, x):
return KerasTensor(x.shape, dtype=x.dtype)
@keras_export(["keras.ops.relu6", "keras.ops.nn.relu6"])
def relu6(x):
"""Rectified linear unit activation function with upper bound of 6.
... | Relu6 |
python | django-haystack__django-haystack | test_haystack/test_utils.py | {
"start": 746,
"end": 2238
} | class ____(TestCase):
fixtures = ["base_data"]
def test_get_identifier(self):
self.assertEqual(get_identifier("core.mockmodel.1"), "core.mockmodel.1")
# Valid object.
mock = MockModel.objects.get(pk=1)
self.assertEqual(get_identifier(mock), "core.mockmodel.1")
@override_se... | GetFacetFieldNameTestCase |
python | pydantic__pydantic | tests/test_forward_ref.py | {
"start": 7981,
"end": 10210
} | class ____(BaseModel):
name: str
subaccounts: list[Account] = []
"""
)
Account = module.Account
assert Account.model_json_schema() == {
'$ref': '#/$defs/Account',
'$defs': {
'Account': {
'title': 'Account',
'type': 'object',
... | Account |
python | kamyu104__LeetCode-Solutions | Python/detect-cycles-in-2d-grid.py | {
"start": 521,
"end": 1549
} | class ____(object):
def containsCycle(self, grid):
"""
:type grid: List[List[str]]
:rtype: bool
"""
def index(n, i, j):
return i*n + j
union_find = UnionFind(len(grid)*len(grid[0]))
for i in xrange(len(grid)):
for j in xrange(len(g... | Solution |
python | Unity-Technologies__ml-agents | ml-agents/mlagents/trainers/settings.py | {
"start": 7955,
"end": 8626
} | class ____(Enum):
UNIFORM: str = "uniform"
GAUSSIAN: str = "gaussian"
MULTIRANGEUNIFORM: str = "multirangeuniform"
CONSTANT: str = "constant"
def to_settings(self) -> type:
_mapping = {
ParameterRandomizationType.UNIFORM: UniformSettings,
ParameterRandomizationType.G... | ParameterRandomizationType |
python | dask__dask | dask/array/_array_expr/random.py | {
"start": 37059,
"end": 39911
} | class ____(RandomChoice):
_defaults = {}
@cached_property
def state_data(self):
return _spawn_bitgens(self._state, len(self.sizes))
def _layer(self) -> dict:
return {
k: (
_choice_rng,
bitgen,
self.array,
size,... | RandomChoiceGenerator |
python | walkccc__LeetCode | solutions/2182. Construct String With Repeat Limit/2182.py | {
"start": 0,
"end": 792
} | class ____:
def repeatLimitedString(self, s: str, repeatLimit: int) -> str:
ans = ''
count = collections.Counter(s)
while True:
addOne = ans and self._shouldAddOne(ans, count)
c = self._getLargestChar(ans, count)
if c == ' ':
break
repeats = 1 if addOne else min(count[c], ... | Solution |
python | django__django | tests/select_related_onetoone/models.py | {
"start": 880,
"end": 1023
} | class ____(models.Model):
name = models.CharField(max_length=100)
image = models.OneToOneField(Image, models.SET_NULL, null=True)
| Product |
python | PyCQA__pylint | tests/functional/u/used/used_before_assignment_typing.py | {
"start": 4844,
"end": 5044
} | class ____: # pylint: disable=too-few-public-methods
"""Conditional imports also guarded by TYPE_CHECKING when used."""
if TYPE_CHECKING:
print(urlopen)
| ConditionalImportGuardedWhenUsed |
python | pytorch__pytorch | test/distributed/elastic/rendezvous/dynamic_rendezvous_test.py | {
"start": 48248,
"end": 50718
} | class ____(TestCase):
def setUp(self) -> None:
self._run_id = "dummy_run_id"
self._store = DummyStore()
self._backend = DummyRendezvousBackend()
self._min_nodes = 3
self._max_nodes = 6
self._timeout: Optional[RendezvousTimeout] = RendezvousTimeout()
def _create_h... | DynamicRendezvousHandlerFromBackendTest |
python | pydata__xarray | xarray/backends/file_manager.py | {
"start": 16239,
"end": 16950
} | class ____(FileManager[T_File]):
"""FileManager that simply wraps an open file in the FileManager interface."""
def __init__(self, value: T_File, *, close: Callable[[], None] | None = None):
if close is None:
close = value.close
self._value = value
self._close = close
d... | DummyFileManager |
python | doocs__leetcode | solution/2600-2699/2671.Frequency Tracker/Solution.py | {
"start": 0,
"end": 750
} | class ____:
def __init__(self):
self.cnt = defaultdict(int)
self.freq = defaultdict(int)
def add(self, number: int) -> None:
self.freq[self.cnt[number]] -= 1
self.cnt[number] += 1
self.freq[self.cnt[number]] += 1
def deleteOne(self, number: int) -> None:
if ... | FrequencyTracker |
python | getsentry__sentry | src/sentry/remote_subscriptions/apps.py | {
"start": 36,
"end": 145
} | class ____(AppConfig):
name = "sentry.remote_subscriptions"
def ready(self) -> None:
pass
| Config |
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