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 | gevent__gevent | src/gevent/subprocess.py | {
"start": 17854,
"end": 77384
} | class ____(object):
"""
The underlying process creation and management in this module is
handled by the Popen class. It offers a lot of flexibility so that
developers are able to handle the less common cases not covered by
the convenience functions.
.. seealso:: :class:`subprocess.Popen`
... | Popen |
python | FactoryBoy__factory_boy | tests/test_django.py | {
"start": 23372,
"end": 29759
} | class ____(django_test.TestCase):
def tearDown(self):
super().tearDown()
for path in os.listdir(models.WITHFILE_UPLOAD_DIR):
# Remove temporary files written during tests.
os.unlink(os.path.join(models.WITHFILE_UPLOAD_DIR, path))
def test_default_build(self):
o ... | DjangoImageFieldTestCase |
python | scikit-image__scikit-image | benchmarks/benchmark_morphology.py | {
"start": 263,
"end": 1645
} | class ____:
def setup(self, *args):
try:
# use a separate skeletonize_3d function on older scikit-image
if Version(skimage.__version__) < Version('0.16.0'):
self.skeletonize = morphology.skeletonize_3d
else:
self.skeletonize = morphology.sk... | Skeletonize3d |
python | huggingface__transformers | examples/modular-transformers/modular_dummy_bert.py | {
"start": 270,
"end": 1218
} | class ____(BertModel):
def forward(
self,
input_ids: Optional[torch.Tensor] = None,
attention_mask: Optional[torch.Tensor] = None,
token_type_ids: Optional[torch.Tensor] = None,
position_ids: Optional[torch.Tensor] = None,
inputs_embeds: Optional[torch.Tensor] = None,... | DummyBertModel |
python | pennersr__django-allauth | allauth/socialaccount/providers/flickr/views.py | {
"start": 227,
"end": 760
} | class ____(OAuth):
api_url = "https://api.flickr.com/services/rest"
def get_user_info(self):
default_params = {"nojsoncallback": "1", "format": "json"}
p = dict({"method": "flickr.test.login"}, **default_params)
u = self.query(self.api_url + "?" + urlencode(p)).json()
p = dict(... | FlickrAPI |
python | pytorch__pytorch | torch/_dynamo/eval_frame.py | {
"start": 23358,
"end": 38377
} | class ____:
def __init__(
self,
callback: DynamoCallback,
on_enter: Callable[[], Any] = nothing,
backend_ctx_ctor: Callable[
[], contextlib.AbstractContextManager[Any]
] = null_context,
patch_fn: Callable[[], Any] = nothing,
first_ctx: bool = False... | _TorchDynamoContext |
python | django__django | tests/unmanaged_models/tests.py | {
"start": 1349,
"end": 2171
} | class ____(TestCase):
def test_many_to_many_between_unmanaged(self):
"""
The intermediary table between two unmanaged models should not be
created.
"""
table = Unmanaged2._meta.get_field("mm").m2m_db_table()
tables = connection.introspection.table_names()
self... | ManyToManyUnmanagedTests |
python | kamyu104__LeetCode-Solutions | Python/gray-code.py | {
"start": 481,
"end": 658
} | class ____(object):
def grayCode(self, n):
"""
:type n: int
:rtype: List[int]
"""
return [i >> 1 ^ i for i in xrange(1 << n)]
| Solution2 |
python | pallets__click | src/click/types.py | {
"start": 24320,
"end": 28757
} | class ____(ParamType):
"""Declares a parameter to be a file for reading or writing. The file
is automatically closed once the context tears down (after the command
finished working).
Files can be opened for reading or writing. The special value ``-``
indicates stdin or stdout depending on the mod... | File |
python | google__pytype | pytype/abstract/_instance_base.py | {
"start": 8972,
"end": 11414
} | class ____(SimpleValue):
"""An instance of some object."""
def __init__(
self,
cls: "_base.BaseValue | _typing.LateAnnotation",
ctx: "context.Context",
container=None,
) -> None:
super().__init__(cls.name, ctx)
self.cls = cls
self._instance_type_parameters_loaded = False
s... | Instance |
python | pytorch__pytorch | torch/distributions/transforms.py | {
"start": 26596,
"end": 30490
} | class ____(Transform):
r"""
Transforms an unconstrained real vector :math:`x` with length :math:`D*(D-1)/2` into the
Cholesky factor of a D-dimension correlation matrix. This Cholesky factor is a lower
triangular matrix with positive diagonals and unit Euclidean norm for each row.
The transform is p... | CorrCholeskyTransform |
python | pypa__warehouse | tests/unit/admin/views/test_macaroons.py | {
"start": 3338,
"end": 4188
} | class ____:
def test_delete_succeeds_and_redirects(self, db_request, macaroon_service):
user = UserFactory.create()
db_request.user = user
_, macaroon = macaroon_service.create_macaroon(
location="test",
description="test",
scopes=[caveats.RequestUser(user... | TestMacaroonDelete |
python | kamyu104__LeetCode-Solutions | Python/maximum-compatibility-score-sum.py | {
"start": 2187,
"end": 3314
} | class ____(object):
def maxCompatibilitySum(self, students, mentors):
"""
:type students: List[List[int]]
:type mentors: List[List[int]]
:rtype: int
"""
def popcount(n): # Time: O(logn) ~= O(1) if n is a 32-bit number
result = 0
while n:
... | Solution2 |
python | joke2k__faker | tests/providers/test_ssn.py | {
"start": 40066,
"end": 40178
} | class ____(TestEnPh):
def setup_faker(self):
self.fake = Faker("tl_PH")
Faker.seed(0)
| TestTlPh |
python | tensorflow__tensorflow | tensorflow/python/distribute/multi_process_runner.py | {
"start": 45834,
"end": 46501
} | class ____(RuntimeError):
"""An error indicating there is at least one subprocess with unexpected exit.
When this is raised, a namedtuple object representing the multi-process run
result can be retrieved by
`tf.__internal__.distribute.multi_process_runner
.UnexpectedSubprocessExitError`'s
`mpr_result` attr... | UnexpectedSubprocessExitError |
python | PyCQA__pylint | tests/functional/b/broad_exception/broad_exception_caught.py | {
"start": 104,
"end": 603
} | class ____(CustomBroadException):
pass
try:
__revision__ += 1
except Exception: # [broad-exception-caught]
print('error')
try:
__revision__ += 1
except BaseException: # [broad-exception-caught]
print('error')
try:
__revision__ += 1
except ValueError:
print('error')
try:
__revisio... | CustomNarrowException |
python | python-markdown__markdown | markdown/inlinepatterns.py | {
"start": 19477,
"end": 20962
} | class ____(InlineProcessor):
""" Store raw inline html and return a placeholder. """
def handleMatch(self, m: re.Match[str], data: str) -> tuple[str, int, int]:
""" Store the text of `group(1)` of a pattern and return a placeholder string. """
rawhtml = self.backslash_unescape(self.unescape(m.gr... | HtmlInlineProcessor |
python | doocs__leetcode | solution/0600-0699/0621.Task Scheduler/Solution.py | {
"start": 0,
"end": 237
} | class ____:
def leastInterval(self, tasks: List[str], n: int) -> int:
cnt = Counter(tasks)
x = max(cnt.values())
s = sum(v == x for v in cnt.values())
return max(len(tasks), (x - 1) * (n + 1) + s)
| Solution |
python | huggingface__transformers | src/transformers/utils/import_utils.py | {
"start": 79337,
"end": 100397
} | class ____:
def __init__(self, backend_requirement: str):
self.package_name, self.version_comparison, self.version = split_package_version(backend_requirement)
if self.package_name not in BACKENDS_MAPPING:
raise ValueError(
f"Backends should be defined in the BACKENDS_MA... | Backend |
python | simplejson__simplejson | simplejson/tests/test_scanstring.py | {
"start": 132,
"end": 7648
} | class ____(TestCase):
# The bytes type is intentionally not used in most of these tests
# under Python 3 because the decoder immediately coerces to str before
# calling scanstring. In Python 2 we are testing the code paths
# for both unicode and str.
#
# The reason this is done is because Python... | TestScanString |
python | doocs__leetcode | solution/3600-3699/3653.XOR After Range Multiplication Queries I/Solution.py | {
"start": 0,
"end": 280
} | class ____:
def xorAfterQueries(self, nums: List[int], queries: List[List[int]]) -> int:
mod = 10**9 + 7
for l, r, k, v in queries:
for idx in range(l, r + 1, k):
nums[idx] = nums[idx] * v % mod
return reduce(xor, nums)
| Solution |
python | pyodide__pyodide | docs/sphinx_pyodide/sphinx_pyodide/lexers.py | {
"start": 259,
"end": 1147
} | class ____(JavascriptLexer):
tokens = {
"root": [
(
r"(pyodide)(\.)(runPython|runPythonAsync)(\()",
bygroups(
Token.Name,
Token.Operator,
Token.Name,
Token.Punctuation,
... | PyodideLexer |
python | faif__python-patterns | patterns/structural/front_controller.py | {
"start": 1180,
"end": 1617
} | class ____:
"""front controller"""
def __init__(self) -> None:
self.dispatcher = Dispatcher()
def dispatch_request(self, request: Any) -> None:
"""
This function takes a request object and sends it to the dispatcher.
"""
if isinstance(request, Request):
... | RequestController |
python | PrefectHQ__prefect | tests/test_flows.py | {
"start": 94808,
"end": 95655
} | class ____:
def test_hook_with_extra_default_arg(self):
data = {}
def hook(flow, flow_run, state, foo=42):
data.update(name=hook.__name__, state=state, foo=foo)
@flow(on_completion=[hook])
def foo_flow():
pass
state = foo_flow(return_state=True)
... | TestFlowHooksWithKwargs |
python | huggingface__transformers | tests/cli/test_serve.py | {
"start": 20723,
"end": 26803
} | class ____(ServeCompletionsMixin, unittest.TestCase):
"""Tests the `generate` version of the Completions API."""
@classmethod
def setUpClass(cls):
"""Starts a server for tests to connect to."""
cls.port = 8001
cls.server = Serve(port=cls.port, non_blocking=True)
@classmethod
... | ServeCompletionsGenerateIntegrationTest |
python | pytest-dev__pytest | testing/test_assertrewrite.py | {
"start": 38755,
"end": 46209
} | class ____:
def test_sys_meta_path_munged(self, pytester: Pytester) -> None:
pytester.makepyfile(
"""
def test_meta_path():
import sys; sys.meta_path = []"""
)
assert pytester.runpytest().ret == 0
def test_write_pyc(self, pytester: Pytester, tmp_p... | TestAssertionRewriteHookDetails |
python | numpy__numpy | numpy/ma/core.py | {
"start": 217422,
"end": 223042
} | class ____(MaskedArray):
"""
Fake a 'void' object to use for masked array with structured dtypes.
"""
def __new__(self, data, mask=nomask, dtype=None, fill_value=None,
hardmask=False, copy=False, subok=True):
copy = None if not copy else True
_data = np.array(data, copy=... | mvoid |
python | PrefectHQ__prefect | tests/server/utilities/test_database.py | {
"start": 2896,
"end": 6277
} | class ____:
async def test_write_to_Pydantic(self, session: AsyncSession):
p_model = PydanticModel(x=100)
s_model = SQLPydanticModel(data=p_model)
session.add(s_model)
await session.flush()
# clear cache
session.expire_all()
query = await session.scalars(sa.... | TestPydantic |
python | ray-project__ray | release/serve_tests/workloads/locust_utils.py | {
"start": 563,
"end": 5989
} | class ____:
def __init__(
self,
worker_type: str,
host_url: str,
token: str,
expected_num_workers: int = None,
stages: List[LocustStage] = None,
wait_for_workers_timeout_s: float = None,
data: Any = None,
master_address: str = None,
):
... | LocustProcess |
python | google__pytype | pytype/directors/directors_test.py | {
"start": 3755,
"end": 10927
} | class ____(DirectorTestCase):
def test_ignore_globally(self):
self._create("", ["my-error"])
self._should_report(False, 42, error_name="my-error")
def test_ignore_one_line(self):
self._create("""
# line 2
x = 123 # type: ignore
# line 4
""")
self._should_report(True, 2)
self._... | DirectorTest |
python | huggingface__transformers | src/transformers/models/sam3_tracker_video/modeling_sam3_tracker_video.py | {
"start": 52034,
"end": 56659
} | class ____(nn.Module):
def __init__(self, config: Sam3TrackerVideoPromptEncoderConfig):
super().__init__()
self.shared_embedding = Sam3TrackerVideoPositionalEmbedding(config)
self.mask_embed = Sam3TrackerVideoMaskEmbedding(config)
self.no_mask_embed = nn.Embedding(1, config.hidden_si... | Sam3TrackerVideoPromptEncoder |
python | allegroai__clearml | clearml/backend_api/services/v2_23/tasks.py | {
"start": 49955,
"end": 53149
} | class ____(NonStrictDataModel):
"""
:param view: View params
:type view: View
:param destination: Storage id. This is where output files will be stored.
:type destination: str
:param model: Model id.
:type model: str
:param result: Task result. Values: 'success', 'failure'
:type resu... | Output |
python | huggingface__transformers | src/transformers/models/phi3/modeling_phi3.py | {
"start": 13548,
"end": 15612
} | class ____(GradientCheckpointingLayer):
def __init__(self, config: Phi3Config, layer_idx: int):
super().__init__()
self.hidden_size = config.hidden_size
self.self_attn = Phi3Attention(config=config, layer_idx=layer_idx)
self.mlp = Phi3MLP(config)
self.input_layernorm = Phi3RM... | Phi3DecoderLayer |
python | doocs__leetcode | solution/2800-2899/2849.Determine if a Cell Is Reachable at a Given Time/Solution.py | {
"start": 0,
"end": 245
} | class ____:
def isReachableAtTime(self, sx: int, sy: int, fx: int, fy: int, t: int) -> bool:
if sx == fx and sy == fy:
return t != 1
dx = abs(sx - fx)
dy = abs(sy - fy)
return max(dx, dy) <= t
| Solution |
python | ansible__ansible | test/lib/ansible_test/_internal/commands/sanity/ignores.py | {
"start": 383,
"end": 2790
} | class ____(SanityVersionNeutral):
"""Sanity test for sanity test ignore entries."""
@property
def can_ignore(self) -> bool:
"""True if the test supports ignore entries."""
return False
@property
def no_targets(self) -> bool:
"""True if the test does not use test targets. Mu... | IgnoresTest |
python | getsentry__sentry | src/sentry/api/endpoints/organization_events_trends.py | {
"start": 1930,
"end": 2840
} | class ____(DiscoverQueryBuilder):
def convert_aggregate_filter_to_condition(
self, aggregate_filter: AggregateFilter
) -> WhereType | None:
name = aggregate_filter.key.name
if self.params.aliases is not None and name in self.params.aliases:
return self.params.aliases[name].c... | TrendQueryBuilder |
python | scrapy__scrapy | tests/spiders.py | {
"start": 4184,
"end": 4495
} | class ____(SimpleSpider):
name = "asyncdef_asyncio_return"
async def parse(self, response):
await asyncio.sleep(0.2)
status = await get_from_asyncio_queue(response.status)
self.logger.info(f"Got response {status}")
return [{"id": 1}, {"id": 2}]
| AsyncDefAsyncioReturnSpider |
python | microsoft__pyright | packages/pyright-internal/src/tests/samples/comparison2.py | {
"start": 1375,
"end": 1825
} | class ____:
bar: str
def func3(x: DC1):
# This should generate an error if reportUnnecessaryComparison is enabled.
if x == 42:
...
async def func4() -> bool:
return True
async def func5() -> None:
# This should generate an error if reportUnnecessaryComparison is enabled.
if func4()... | DC1 |
python | kamyu104__LeetCode-Solutions | Python/delete-characters-to-make-fancy-string.py | {
"start": 48,
"end": 421
} | class ____(object):
def makeFancyString(self, s):
"""
:type s: str
:rtype: str
"""
s = list(s)
cnt = j = 0
for i, c in enumerate(s):
cnt = cnt+1 if i >= 1 and c == s[i-1] else 1
if cnt < 3:
s[j] = c
j += ... | Solution |
python | django__django | tests/schema/models.py | {
"start": 694,
"end": 832
} | class ____(models.Model):
text_field = models.TextField(db_index=True)
class Meta:
apps = new_apps
| AuthorTextFieldWithIndex |
python | jmcnamara__XlsxWriter | xlsxwriter/test/comparison/test_default_row02.py | {
"start": 315,
"end": 977
} | class ____(ExcelComparisonTest):
"""
Test file created by XlsxWriter against a file created by Excel.
"""
def setUp(self):
self.set_filename("default_row02.xlsx")
def test_create_file(self):
"""Test the creation of a simple XlsxWriter file."""
workbook = Workbook(self.got... | TestCompareXLSXFiles |
python | mlflow__mlflow | tests/models/test_utils.py | {
"start": 966,
"end": 23012
} | class ____(NamedTuple):
model: Any
inference_data: Any
@pytest.fixture(scope="module")
def sklearn_knn_model():
iris = datasets.load_iris()
X = iris.data[:, :2] # we only take the first two features.
y = iris.target
knn_model = knn.KNeighborsClassifier()
knn_model.fit(X, y)
return Mod... | ModelWithData |
python | pypa__pip | src/pip/_internal/metadata/base.py | {
"start": 24813,
"end": 24938
} | class ____(Protocol):
location: str
def as_zipfile(self) -> zipfile.ZipFile:
raise NotImplementedError()
| Wheel |
python | getsentry__sentry | src/sentry/issues/analytics.py | {
"start": 78,
"end": 182
} | class ____(analytics.Event):
num_groups: int
analytics.register(IssueForecastSaved)
| IssueForecastSaved |
python | PrefectHQ__prefect | src/integrations/prefect-kubernetes/tests/test_observer.py | {
"start": 1612,
"end": 9896
} | class ____:
async def test_minimal(self, mock_events_client: AsyncMock):
flow_run_id = uuid.uuid4()
pod_id = uuid.uuid4()
await _replicate_pod_event(
event={"type": "ADDED", "status": {"phase": "Running"}},
uid=str(pod_id),
name="test",
namesp... | TestReplicatePodEvent |
python | facebookresearch__faiss | faiss/gpu/test/test_gpu_basics.py | {
"start": 7078,
"end": 8149
} | class ____(unittest.TestCase):
def test_gpu_ref(self):
# this crashes
dim = 256
training_data = np.random.randint(256, size=(10000, dim // 8)).astype('uint8')
centroids = 330
def create_cpu(dim):
quantizer = faiss.IndexBinaryFlat(dim)
return faiss.In... | TestGpuRef |
python | pytorch__pytorch | test/nn/test_parametrization.py | {
"start": 82206,
"end": 83974
} | class ____(NNTestCase):
@swap([True, False])
def test_weight_norm_parametrization(self, device):
for dtype in [torch.float, torch.bfloat16]:
input = torch.randn(3, 4, dtype=dtype, device=device)
m = nn.Linear(4, 5, dtype=dtype, device=device)
expected_output = m(input... | TestNNParametrizationDevice |
python | cookiecutter__cookiecutter | cookiecutter/exceptions.py | {
"start": 1773,
"end": 1960
} | class ____(CookiecutterException):
"""
Exception when version control is unavailable.
Raised if the version control system (git or hg) is not installed.
"""
| VCSNotInstalled |
python | realpython__materials | django-flashcards-app/source_code_final/cards/views.py | {
"start": 590,
"end": 1356
} | class ____(CardListView):
template_name = "cards/box.html"
form_class = CardCheckForm
def get_queryset(self):
return Card.objects.filter(box=self.kwargs["box_num"])
def get_context_data(self, **kwargs):
context = super().get_context_data(**kwargs)
context["box_number"] = self.k... | BoxView |
python | keras-team__keras | keras/src/backend/common/backend_utils_test.py | {
"start": 1606,
"end": 2702
} | class ____(test_case.TestCase):
def test_valid_padding_without_output_padding(self):
"""Test conversion with 'valid' padding and no output padding"""
(
torch_padding,
torch_output_padding,
) = _convert_conv_transpose_padding_args_from_keras_to_torch(
kerne... | ConvertConvTransposePaddingArgsTorchTest |
python | PyCQA__pylint | pylint/config/callback_actions.py | {
"start": 11411,
"end": 11780
} | class ____(_XableAction):
"""Callback action for enabling a message."""
def __call__(
self,
parser: argparse.ArgumentParser,
namespace: argparse.Namespace,
values: str | Sequence[Any] | None,
option_string: str | None = "--enable",
) -> None:
self._call(self.... | _EnableAction |
python | simplejson__simplejson | simplejson/tests/test_namedtuple.py | {
"start": 846,
"end": 997
} | class ____(object):
def __init__(self, *args):
self.point = Point(*args)
def _asdict(self):
return self.point._asdict()
| DuckPoint |
python | huggingface__transformers | src/transformers/convert_slow_tokenizer.py | {
"start": 45719,
"end": 46650
} | class ____(SpmConverter):
def vocab(self, proto):
vocab = [
("<s>", 0.0),
("<pad>", 0.0),
("</s>", 0.0),
("<unk>", 0.0),
]
vocab += [(piece.piece, piece.score) for piece in proto.pieces[3:]]
vocab += [("<madeupword0>", 0.0), ("<madeupwo... | XGLMConverter |
python | jmcnamara__XlsxWriter | xlsxwriter/test/comparison/test_format13.py | {
"start": 315,
"end": 1021
} | class ____(ExcelComparisonTest):
"""
Test file created by XlsxWriter against a file created by Excel.
"""
def setUp(self):
self.set_filename("format13.xlsx")
def test_create_file(self):
"""Test the creation of a simple XlsxWriter file."""
workbook = Workbook(self.got_file... | TestCompareXLSXFiles |
python | allegroai__clearml | clearml/backend_api/services/v2_9/queues.py | {
"start": 21614,
"end": 30449
} | class ____(Request):
"""
Get all queues
:param name: Get only queues whose name matches this pattern (python regular
expression syntax)
:type name: str
:param id: List of Queue IDs used to filter results
:type id: Sequence[str]
:param tags: User-defined tags list used to filter resu... | GetAllRequest |
python | prompt-toolkit__python-prompt-toolkit | src/prompt_toolkit/layout/processors.py | {
"start": 5159,
"end": 7701
} | class ____(Processor):
"""
Processor that highlights search matches in the document.
Note that this doesn't support multiline search matches yet.
The style classes 'search' and 'search.current' will be applied to the
content.
"""
_classname = "search"
_classname_current = "search.curre... | HighlightSearchProcessor |
python | bokeh__bokeh | release/enums.py | {
"start": 773,
"end": 874
} | class ____(Enum):
PENDING = "PENDING"
STARTED = "STARTED"
COMPLETED = "COMPLETED"
| ActionState |
python | altair-viz__altair | altair/vegalite/v6/schema/core.py | {
"start": 804142,
"end": 804344
} | class ____(VegaLiteSchema):
"""OffsetDef schema wrapper."""
_schema = {"$ref": "#/definitions/OffsetDef"}
def __init__(self, *args, **kwds):
super().__init__(*args, **kwds)
| OffsetDef |
python | huggingface__transformers | src/transformers/models/vits/configuration_vits.py | {
"start": 814,
"end": 13892
} | class ____(PreTrainedConfig):
r"""
This is the configuration class to store the configuration of a [`VitsModel`]. It is used to instantiate a VITS
model according to the specified arguments, defining the model architecture. Instantiating a configuration with the
defaults will yield a similar configurati... | VitsConfig |
python | anthropics__anthropic-sdk-python | tests/api_resources/beta/test_messages.py | {
"start": 19382,
"end": 38804
} | class ____:
parametrize = pytest.mark.parametrize(
"async_client", [False, True, {"http_client": "aiohttp"}], indirect=True, ids=["loose", "strict", "aiohttp"]
)
@pytest.mark.skip(reason="prism validates based on the non-beta endpoint")
@parametrize
async def test_method_create_overload_1(s... | TestAsyncMessages |
python | modin-project__modin | modin/experimental/batch/pipeline.py | {
"start": 1318,
"end": 3667
} | class ____(object):
"""
Internal representation of a single query in a pipeline.
This object represents a single function to be pipelined in a batch pipeline.
Parameters
----------
func : Callable
The function to apply to the dataframe.
is_output : bool, default: False
Whet... | PandasQuery |
python | encode__django-rest-framework | tests/test_routers.py | {
"start": 12115,
"end": 13009
} | class ____(TestCase):
"""
Ensure keyword arguments passed in the `@action` decorator
are properly handled. Refs #940.
"""
def setUp(self):
class TestViewSet(viewsets.ModelViewSet):
permission_classes = []
@action(methods=['post'], detail=True, permission_classes=[p... | TestActionKeywordArgs |
python | kamyu104__LeetCode-Solutions | Python/find-the-number-of-copy-arrays.py | {
"start": 38,
"end": 548
} | class ____(object):
def countArrays(self, original, bounds):
"""
:type original: List[int]
:type bounds: List[List[int]]
:rtype: int
"""
left, right = bounds[0]
result = right-left+1
for i in xrange(1, len(original)):
diff = original[i]-ori... | Solution |
python | huggingface__transformers | src/transformers/models/informer/modeling_informer.py | {
"start": 27811,
"end": 28468
} | class ____(GradientCheckpointingLayer):
def __init__(self, c_in):
super().__init__()
self.downConv = nn.Conv1d(
in_channels=c_in,
out_channels=c_in,
kernel_size=3,
padding=1,
padding_mode="circular",
)
self.norm = nn.BatchNo... | InformerConvLayer |
python | getsentry__sentry | tests/sentry/monitors/endpoints/test_base_monitor_environment_details.py | {
"start": 4811,
"end": 6200
} | class ____(MonitorTestCase):
__test__ = False
def setUp(self) -> None:
self.login_as(user=self.user)
super().setUp()
def test_simple(self) -> None:
monitor = self._create_monitor(status=MonitorStatus.ACTIVE)
monitor_environment = self._create_monitor_environment(monitor)
... | BaseDeleteMonitorTest |
python | zarr-developers__zarr-python | src/zarr/codecs/sharding.py | {
"start": 1721,
"end": 2024
} | class ____(Enum):
"""
Enum for index location used by the sharding codec.
"""
start = "start"
end = "end"
def parse_index_location(data: object) -> ShardingCodecIndexLocation:
return parse_enum(data, ShardingCodecIndexLocation)
@dataclass(frozen=True)
| ShardingCodecIndexLocation |
python | huggingface__transformers | examples/pytorch/question-answering/trainer_seq2seq_qa.py | {
"start": 1018,
"end": 6616
} | class ____(Seq2SeqTrainer):
def __init__(self, *args, eval_examples=None, post_process_function=None, **kwargs):
super().__init__(*args, **kwargs)
self.eval_examples = eval_examples
self.post_process_function = post_process_function
# def evaluate(self, eval_dataset=None, eval_examples=... | QuestionAnsweringSeq2SeqTrainer |
python | jina-ai__jina | tests/integration/docarray_v2/csp/SampleRerankerExecutor/executor.py | {
"start": 547,
"end": 1446
} | class ____(Executor):
@requests(on="/rerank")
def foo(self, docs: DocList[RerankerInput], **kwargs) -> DocList[RankedOutput]:
ret = []
for doc in docs:
ret.append(
RankedOutput(
results=[
RankedObjectOutput(
... | SampleRerankerExecutor |
python | optuna__optuna | optuna/samplers/_brute_force.py | {
"start": 786,
"end": 4063
} | class ____:
# This is a class to represent the tree of search space.
# A tree node has three states:
# 1. Unexpanded. This is represented by children=None.
# 2. Leaf. This is represented by children={} and param_name=None.
# 3. Normal node. It has a param_name and non-empty children.
param_nam... | _TreeNode |
python | geekcomputers__Python | venv/Lib/site-packages/pip/_vendor/idna/codec.py | {
"start": 186,
"end": 769
} | class ____(codecs.Codec):
def encode(self, data: str, errors: str = 'strict') -> Tuple[bytes, int]:
if errors != 'strict':
raise IDNAError('Unsupported error handling \"{}\"'.format(errors))
if not data:
return b"", 0
return encode(data), len(data)
def decode(... | Codec |
python | PyCQA__pylint | tests/functional/a/access/access_to_protected_members.py | {
"start": 1138,
"end": 1501
} | class ____:
"""Test for GitHub issue 1031"""
_attr = 1
def correct_access(self):
"""Demonstrates correct access"""
return type(self)._attr
def incorrect_access(self):
"""Demonstrates incorrect access"""
if self._attr == 1:
return type(INST)._protected # [pr... | Issue1031 |
python | pydantic__pydantic | pydantic/v1/mypy.py | {
"start": 30208,
"end": 31515
} | class ____:
def __init__(
self, name: str, is_required: bool, alias: Optional[str], has_dynamic_alias: bool, line: int, column: int
):
self.name = name
self.is_required = is_required
self.alias = alias
self.has_dynamic_alias = has_dynamic_alias
self.line = line
... | PydanticModelField |
python | pypa__pip | src/pip/_internal/exceptions.py | {
"start": 10838,
"end": 11590
} | class ____(InstallationError):
"""Built metadata contains inconsistent information.
This is raised when the metadata contains values (e.g. name and version)
that do not match the information previously obtained from sdist filename,
user-supplied ``#egg=`` value, or an install requirement name.
"""
... | MetadataInconsistent |
python | huggingface__transformers | src/transformers/models/megatron_bert/modeling_megatron_bert.py | {
"start": 31106,
"end": 35721
} | class ____(MegatronBertPreTrainedModel):
_tied_weights_keys = {
"cls.predictions.decoder.weight": "bert.embeddings.word_embeddings.weight",
"cls.predictions.decoder.bias": "cls.predictions.bias",
}
def __init__(self, config, add_binary_head=True):
r"""
add_binary_head (`bool... | MegatronBertForPreTraining |
python | TheAlgorithms__Python | digital_image_processing/resize/resize.py | {
"start": 122,
"end": 2220
} | class ____:
"""
Simplest and fastest version of image resizing.
Source: https://en.wikipedia.org/wiki/Nearest-neighbor_interpolation
"""
def __init__(self, img, dst_width: int, dst_height: int):
if dst_width < 0 or dst_height < 0:
raise ValueError("Destination width/height shoul... | NearestNeighbour |
python | great-expectations__great_expectations | contrib/experimental/great_expectations_experimental/expectations/expect_column_values_to_be_in_set_spark_optimized.py | {
"start": 2343,
"end": 8415
} | class ____(ColumnAggregateExpectation):
"""Expect each column value to be in a given set; optimized using **join** for spark backends.
Args:
column (str): \
The column name.
value_set (set-like): \
A set of objects used for comparison.
Keyword Args:
mostly (... | ExpectColumnValuesToBeInSetSparkOptimized |
python | charliermarsh__ruff | crates/ruff_linter/resources/test/fixtures/pylint/invalid_return_type_index.py | {
"start": 1027,
"end": 1102
} | class ____:
def __index__(self):
raise NotImplementedError
| Index5 |
python | doocs__leetcode | solution/2000-2099/2085.Count Common Words With One Occurrence/Solution.py | {
"start": 0,
"end": 218
} | class ____:
def countWords(self, words1: List[str], words2: List[str]) -> int:
cnt1 = Counter(words1)
cnt2 = Counter(words2)
return sum(v == 1 and cnt2[w] == 1 for w, v in cnt1.items())
| Solution |
python | getsentry__sentry | tests/sentry/incidents/endpoints/test_organization_alert_rule_details.py | {
"start": 29370,
"end": 63640
} | class ____(AlertRuleDetailsBase):
method = "put"
def test_simple(self) -> None:
self.create_member(
user=self.user, organization=self.organization, role="owner", teams=[self.team]
)
self.login_as(self.user)
alert_rule = self.alert_rule
# We need the IDs to f... | AlertRuleDetailsPutEndpointTest |
python | pytorch__pytorch | torch/_dynamo/variables/misc.py | {
"start": 18183,
"end": 24118
} | class ____(VariableTracker):
# The ExceptionVariable corresponds to the BaseException class in Python
def __init__(
self, exc_type, args, init_kwargs=None, source=None, mutation_type=None
) -> None:
super().__init__(source=source, mutation_type=mutation_type)
self.exc_type = exc_type... | ExceptionVariable |
python | kubernetes-client__python | kubernetes/e2e_test/test_client.py | {
"start": 1603,
"end": 23885
} | class ____(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.config = base.get_e2e_configuration()
def test_pod_apis(self):
client = api_client.ApiClient(configuration=self.config)
api = core_v1_api.CoreV1Api(client)
name = 'busybox-test-' + short_uuid()
po... | TestClient |
python | huggingface__transformers | src/transformers/models/mlcd/modeling_mlcd.py | {
"start": 2293,
"end": 4096
} | class ____(nn.Module):
inv_freq: torch.Tensor # fix linting for `register_buffer`
def __init__(self, dim: int, theta: float = 10000.0) -> None:
super().__init__()
inv_freq = 1.0 / (theta ** (torch.arange(0, dim, 2, dtype=torch.float) / dim))
self.register_buffer("inv_freq", inv_freq, p... | MLCDRotaryEmbedding |
python | PrefectHQ__prefect | src/prefect/server/schemas/core.py | {
"start": 30719,
"end": 31674
} | class ____(ORMBaseModel):
"""An ORM representation of a block document reference."""
parent_block_document_id: UUID = Field(
default=..., description="ID of block document the reference is nested within"
)
parent_block_document: Optional[BlockDocument] = Field(
default=None, description... | BlockDocumentReference |
python | pytorch__pytorch | test/torch_np/numpy_tests/core/test_multiarray.py | {
"start": 135222,
"end": 137439
} | class ____(TestCase):
@parametrize(
"dtype",
[
np.uint8,
np.int8,
np.int16,
np.int32,
np.int64,
np.float16,
np.float32,
np.float64,
],
)
def test_basic(self, dtype):
a = np.array([... | TestLexsort |
python | scrapy__scrapy | tests/test_spidermiddleware.py | {
"start": 12438,
"end": 13706
} | class ____(TestBaseAsyncSpiderMiddleware):
"""process_start tests for simple start"""
ITEM_TYPE = (Request, dict)
MW_SIMPLE = ProcessStartSimpleMiddleware
async def _get_processed_start(
self, *mw_classes: type[Any]
) -> AsyncIterator[Any] | None:
class TestSpider(Spider):
... | TestProcessStartSimple |
python | pytorch__pytorch | test/test_autograd.py | {
"start": 534303,
"end": 551182
} | class ____(TestCase):
@unittest.skipIf(not TEST_CUDA, "requires CUDA")
def test_flops_and_mem(self):
# From https://github.com/pytorch/pytorch/pull/126320
def get_act_mem(f):
out = f()
out.backward()
# Why do one forward and backward?
start_mem = t... | TestSelectiveActivationCheckpoint |
python | numba__numba | numba/tests/test_jitmethod.py | {
"start": 109,
"end": 1284
} | class ____(unittest.TestCase):
def test_bound_jit_method_with_loop_lift(self):
class Something(object):
def __init__(self, x0):
self.x0 = x0
@jit(forceobj=True)
def method(self, x):
a = np.empty(shape=5, dtype=np.float32)
x... | TestJITMethod |
python | coleifer__peewee | peewee.py | {
"start": 160237,
"end": 160302
} | class ____(IntegerField):
field_type = 'BIGINT'
| BigIntegerField |
python | doocs__leetcode | solution/0000-0099/0080.Remove Duplicates from Sorted Array II/Solution.py | {
"start": 0,
"end": 219
} | class ____:
def removeDuplicates(self, nums: List[int]) -> int:
k = 0
for x in nums:
if k < 2 or x != nums[k - 2]:
nums[k] = x
k += 1
return k
| Solution |
python | apache__airflow | providers/apache/hive/tests/unit/apache/hive/__init__.py | {
"start": 5345,
"end": 5551
} | class ____:
def __init__(self, *args, **kwargs):
output = kwargs.get("output", ["" for _ in range(10)])
self.readline = MagicMock(side_effect=[line.encode() for line in output])
| MockStdOut |
python | huggingface__transformers | src/transformers/models/cpmant/modeling_cpmant.py | {
"start": 6687,
"end": 8995
} | class ____(nn.Module):
def __init__(self, config: CpmAntConfig, layer_idx=None):
super().__init__()
self.layernorm_before_attention = CpmAntLayerNorm(config)
self.self_attention = CpmAntAttention(config, layer_idx=layer_idx)
if config.dropout_p:
self.dropout = torch.nn.Dr... | CpmAntSelfAttentionBlock |
python | kamyu104__LeetCode-Solutions | Python/recover-a-tree-from-preorder-traversal.py | {
"start": 218,
"end": 1041
} | class ____(object):
def recoverFromPreorder(self, S):
"""
:type S: str
:rtype: TreeNode
"""
i = 0
stack = []
while i < len(S):
level = 0
while i < len(S) and S[i] == '-':
level += 1
i += 1
whi... | Solution |
python | keras-team__keras | keras/src/ops/numpy.py | {
"start": 4486,
"end": 5296
} | class ____(Operation):
def call(self, x):
return backend.numpy.absolute(x)
def compute_output_spec(self, x):
sparse = getattr(x, "sparse", False)
return KerasTensor(x.shape, dtype=x.dtype, sparse=sparse)
@keras_export(["keras.ops.absolute", "keras.ops.numpy.absolute"])
def absolute(x)... | Absolute |
python | huggingface__transformers | tests/models/qwen2_vl/test_video_processing_qwen2_vl.py | {
"start": 4551,
"end": 17573
} | class ____(VideoProcessingTestMixin, unittest.TestCase):
fast_video_processing_class = Qwen2VLVideoProcessor if is_torchvision_available() else None
def setUp(self):
super().setUp()
self.video_processor_tester = Qwen2VLVideoProcessingTester(self)
@property
def video_processor_dict(self... | Qwen2VLVideoProcessingTest |
python | apache__airflow | providers/google/src/airflow/providers/google/cloud/transfers/gcs_to_gcs.py | {
"start": 1277,
"end": 26015
} | class ____(BaseOperator):
"""
Copies objects from a bucket to another, with renaming if requested.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:GCSToGCSOperator`
:param source_bucket: The source Google Cloud Storage bucke... | GCSToGCSOperator |
python | pytorch__pytorch | torch/optim/lr_scheduler.py | {
"start": 60434,
"end": 68933
} | class ____(LRScheduler):
"""Reduce learning rate when a metric has stopped improving.
Models often benefit from reducing the learning rate by a factor
of 2-10 once learning stagnates. This scheduler reads a metrics
quantity and if no improvement is seen for a 'patience' number
of epochs, the learni... | ReduceLROnPlateau |
python | spack__spack | lib/spack/spack/vendor/ruamel/yaml/nodes.py | {
"start": 144,
"end": 2249
} | class ____:
__slots__ = 'tag', 'value', 'start_mark', 'end_mark', 'comment', 'anchor'
def __init__(self, tag, value, start_mark, end_mark, comment=None, anchor=None):
# type: (Any, Any, Any, Any, Any, Any) -> None
self.tag = tag
self.value = value
self.start_mark = start_mark
... | Node |
python | PyCQA__pylint | tests/functional/p/postponed/postponed_evaluation_activated_with_alias.py | {
"start": 187,
"end": 342
} | class ____:
@classmethod
def from_string(cls, source) -> MyClass:
...
def validate_b(self, obj: OtherClass) -> bool:
...
| MyClass |
python | ApeWorX__ape | src/ape/utils/rpc.py | {
"start": 2033,
"end": 5248
} | class ____(CaseInsensitiveDict):
"""
A dict-like data-structure for HTTP-headers.
It is case-insensitive and appends user-agent strings
rather than overrides.
"""
def __setitem__(self, key, value):
if key.lower() != "user-agent" or not self.__contains__("user-agent"):
return... | RPCHeaders |
python | celery__celery | celery/backends/redis.py | {
"start": 25579,
"end": 28560
} | class ____(RedisBackend):
"""Redis sentinel task result store."""
# URL looks like `sentinel://0.0.0.0:26347/3;sentinel://0.0.0.0:26348/3`
_SERVER_URI_SEPARATOR = ";"
sentinel = getattr(redis, "sentinel", None)
connection_class_ssl = SentinelManagedSSLConnection if sentinel else None
def __in... | SentinelBackend |
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