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 | patrick-kidger__equinox | equinox/internal/_omega.py | {
"start": 5273,
"end": 7126
} | class ____ωUpdateRef:
def __init__(self, value, item, is_leaf):
self.value = value
self.item = item
self.is_leaf = is_leaf
def _set_binary_at(base, name: str, op: Callable[[Any, Any, Any], Any]) -> None:
def fn(self, other):
if isinstance(other, ω):
if jtu.tree_stru... | _ |
python | tensorflow__tensorflow | tensorflow/python/feature_column/feature_column_v2.py | {
"start": 127179,
"end": 132993
} | class ____(
CategoricalColumn,
fc_old._CategoricalColumn, # pylint: disable=protected-access
collections.namedtuple(
'VocabularyFileCategoricalColumn',
('key', 'vocabulary_file', 'vocabulary_size', 'num_oov_buckets',
'dtype', 'default_value', 'file_format'))):
"""See `categorical... | VocabularyFileCategoricalColumn |
python | viewflow__viewflow | viewflow/workflow/flow/mixins.py | {
"start": 183,
"end": 1428
} | class ____(metaclass=ViewsetMeta):
"""Task detail view."""
index_view_class: Optional[Type[View]] = None
@viewprop
def index_view(self):
"""View for a task detail."""
if self.index_view_class:
return self.index_view_class.as_view()
@property
def index_path(self):
... | NodeDetailMixin |
python | pypa__pip | src/pip/_vendor/urllib3/exceptions.py | {
"start": 1071,
"end": 1305
} | class ____(HTTPError):
"""Raised when the connection to a proxy fails."""
def __init__(self, message, error, *args):
super(ProxyError, self).__init__(message, error, *args)
self.original_error = error
| ProxyError |
python | charliermarsh__ruff | crates/ruff_linter/resources/test/fixtures/pycodestyle/E30.py | {
"start": 6441,
"end": 6533
} | class ____:
pass
def method1():
return 1
def method2():
return 22
# end
# E302
| Test |
python | facebookresearch__faiss | benchs/bench_fw/benchmark_io.py | {
"start": 1396,
"end": 9229
} | class ____:
path: str # local path
def __init__(self, path: str):
self.path = path
self.cached_ds: Dict[Any, Any] = {}
def clone(self):
return BenchmarkIO(path=self.path)
def get_local_filepath(self, filename):
if len(filename) > 184:
fn, ext = os.path.spl... | BenchmarkIO |
python | python__mypy | mypy/nodes.py | {
"start": 46975,
"end": 50992
} | class ____(Statement):
"""Class definition"""
__slots__ = (
"name",
"_fullname",
"defs",
"type_args",
"type_vars",
"base_type_exprs",
"removed_base_type_exprs",
"info",
"metaclass",
"decorators",
"keywords",
"analyz... | ClassDef |
python | allegroai__clearml | clearml/backend_api/services/v2_13/workers.py | {
"start": 402,
"end": 2166
} | class ____(NonStrictDataModel):
"""
:param name: Name of the metrics category.
:type name: str
:param metric_keys: The names of the metrics in the category.
:type metric_keys: Sequence[str]
"""
_schema = {
"properties": {
"metric_keys": {
"description": "... | MetricsCategory |
python | sympy__sympy | sympy/combinatorics/free_groups.py | {
"start": 3282,
"end": 9552
} | class ____(DefaultPrinting):
"""
Free group with finite or infinite number of generators. Its input API
is that of a str, Symbol/Expr or a sequence of one of
these types (which may be empty)
See Also
========
sympy.polys.rings.PolyRing
References
==========
.. [1] https://www... | FreeGroup |
python | charliermarsh__ruff | crates/ruff_linter/resources/test/fixtures/ruff/RUF009_attrs.py | {
"start": 2131,
"end": 2172
} | class ____:
foo: int = 1
@attr.frozen
| C |
python | imageio__imageio | imageio/plugins/_freeimage.py | {
"start": 23817,
"end": 31325
} | class ____(object):
def __init__(self, fi, filename, ftype, flags):
self._fi = fi
self._filename = filename
self._ftype = ftype
self._flags = flags
self._bitmap = None
self._close_funcs = []
def __del__(self):
self.close()
def close(self):
if... | FIBaseBitmap |
python | kamyu104__LeetCode-Solutions | Python/count-square-sum-triples.py | {
"start": 31,
"end": 398
} | class ____(object):
def countTriples(self, n):
"""
:type n: int
:rtype: int
"""
lookup = set()
for i in xrange(1, n+1):
lookup.add(i**2)
result = 0
for i in xrange(1, n+1):
for j in xrange(1, n+1):
result += int(... | Solution |
python | run-llama__llama_index | llama-index-integrations/vector_stores/llama-index-vector-stores-neptune/llama_index/vector_stores/neptune/base.py | {
"start": 495,
"end": 1074
} | class ____(Exception):
"""Exception for the Neptune queries."""
def __init__(self, exception: Union[str, Dict]):
if isinstance(exception, dict):
self.message = exception["message"] if "message" in exception else "unknown"
self.details = exception["details"] if "details" in excep... | NeptuneVectorQueryException |
python | numpy__numpy | tools/swig/test/testVector.py | {
"start": 13291,
"end": 13556
} | class ____(VectorTestCase):
def __init__(self, methodName="runTest"):
VectorTestCase.__init__(self, methodName)
self.typeStr = "float"
self.typeCode = "f"
######################################################################
| floatTestCase |
python | django-haystack__django-haystack | test_haystack/mocks.py | {
"start": 807,
"end": 1175
} | class ____(SearchResult):
def __init__(self, app_label, model_name, pk, score, **kwargs):
super().__init__(app_label, model_name, pk, score, **kwargs)
self._model = apps.get_model("core", model_name)
MOCK_SEARCH_RESULTS = [
MockSearchResult("core", "MockModel", i, 1 - (i / 100.0)) for i in ran... | MockSearchResult |
python | joke2k__faker | faker/providers/automotive/en_PH/__init__.py | {
"start": 108,
"end": 2499
} | class ____(AutomotiveProvider):
"""Implement automotive provider for ``en_PH`` locale.
Vehicle registration in the Philippines has many controversies and is full
of quirks. On top of that, some terms are highly subject to interpretation
or to varying definitions when applied colloquially, e.g. "motor" ... | Provider |
python | pallets__werkzeug | examples/cupoftee/network.py | {
"start": 3595,
"end": 3795
} | class ____:
def __init__(self, server, name, score):
self.server = server
self.name = name
self.score = score
self.size = round(100 + log(max(score, 1)) * 25, 2)
| Player |
python | pytorch__pytorch | test/quantization/core/test_quantized_module.py | {
"start": 59023,
"end": 79703
} | class ____(QuantizationTestCase):
def _test_qconv_impl(self, q_mod, dq_mod, dim, dtype, bias):
in_channels = 3
out_channels = 10
kernel_size = 2
stride = 1
padding = 0
dilation = 1
groups = 1
padding_mode = 'zeros'
if qengine_is_qnnpack():
... | TestDynamicQuantizedModule |
python | apache__airflow | providers/google/tests/unit/google/cloud/hooks/test_cloud_batch.py | {
"start": 13066,
"end": 13939
} | class ____:
@pytest.mark.asyncio
@mock.patch(
"airflow.providers.google.common.hooks.base_google.GoogleBaseHook.__init__",
new=mock_base_gcp_hook_default_project_id,
)
@mock.patch("airflow.providers.google.cloud.hooks.cloud_batch.BatchServiceAsyncClient")
async def test_get_job(self,... | TestCloudBatchAsyncHook |
python | aio-libs__aiohttp | aiohttp/pytest_plugin.py | {
"start": 621,
"end": 1156
} | class ____(Protocol):
# TODO(PY311): Use Unpack to specify ClientSession kwargs.
@overload
async def __call__(
self,
__param: Application,
*,
server_kwargs: dict[str, Any] | None = None,
**kwargs: Any,
) -> TestClient[Request, Application]: ...
@overload
a... | AiohttpClient |
python | doocs__leetcode | solution/0400-0499/0452.Minimum Number of Arrows to Burst Balloons/Solution.py | {
"start": 0,
"end": 259
} | class ____:
def findMinArrowShots(self, points: List[List[int]]) -> int:
ans, last = 0, -inf
for a, b in sorted(points, key=lambda x: x[1]):
if a > last:
ans += 1
last = b
return ans
| Solution |
python | pypa__warehouse | warehouse/search/tasks.py | {
"start": 2740,
"end": 9434
} | class ____(Lock):
def __init__(self, redis_client, timeout=None, blocking_timeout=None):
super().__init__(
redis_client,
name="search-index",
timeout=timeout,
blocking_timeout=blocking_timeout,
)
@tasks.task(bind=True, ignore_result=True, acks_late=T... | SearchLock |
python | MongoEngine__mongoengine | mongoengine/base/datastructures.py | {
"start": 6569,
"end": 12347
} | class ____(BaseList):
@classmethod
def __match_all(cls, embedded_doc, kwargs):
"""Return True if a given embedded doc matches all the filter
kwargs. If it doesn't return False.
"""
for key, expected_value in kwargs.items():
doc_val = getattr(embedded_doc, key)
... | EmbeddedDocumentList |
python | tensorflow__tensorflow | tensorflow/python/eager/forwardprop_test.py | {
"start": 38816,
"end": 40863
} | class ____(test.TestCase, parameterized.TestCase):
@parameterized.parameters([(math_ops.sin, (2, 3), 5),
(math_ops.sin, (2, 3, 4), 10)])
def testJVPBatchCorrectness(self, f, primal_shape, batch_size):
primals = [random_ops.random_uniform(primal_shape)]
tangent_batch = [random_o... | BatchTests |
python | pydantic__pydantic | pydantic-core/tests/serializers/test_string.py | {
"start": 6534,
"end": 6578
} | class ____(str, BasicClass):
pass
| StrMixin |
python | sqlalchemy__sqlalchemy | test/dialect/postgresql/test_types.py | {
"start": 186915,
"end": 186998
} | class ____(_Int4RangeTests, _RangeTypeCompilation):
pass
| Int4RangeCompilationTest |
python | scipy__scipy | scipy/linalg/tests/test_decomp.py | {
"start": 112075,
"end": 117147
} | class ____:
def test_null_space(self):
rng = np.random.RandomState(1)
dtypes = [np.float32, np.float64, np.complex64, np.complex128]
sizes = [1, 2, 3, 10, 100]
for dt, n in itertools.product(dtypes, sizes):
X = np.ones((2, n), dtype=dt)
eps = np.finfo(dt).e... | TestNullSpace |
python | getsentry__sentry | src/sentry/integrations/jira_server/actions/form.py | {
"start": 348,
"end": 949
} | class ____(IntegrationNotifyServiceForm):
provider = IntegrationProviderSlug.JIRA_SERVER.value
def clean(self) -> dict[str, Any] | None:
cleaned_data = super().clean() or {}
integration_id = cleaned_data.get("integration")
integration = integration_service.get_integration(
... | JiraServerNotifyServiceForm |
python | Pylons__pyramid | src/pyramid/config/assets.py | {
"start": 7039,
"end": 7267
} | class ____:
def __init__(self, path, source):
self.path = path
self.source = source
def __call__(self, resource_name):
if resource_name == self.path:
return self.source, ''
| FileOverride |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-monday/components.py | {
"start": 17057,
"end": 18948
} | class ____(PageIncrement):
"""
Page increment strategy with subpages for the `items` stream.
From the `items` documentation https://developer.monday.com/api-reference/docs/items:
Please note that you cannot return more than 100 items per query when using items at the root.
To adjust your qu... | ItemPaginationStrategy |
python | openai__openai-python | src/openai/types/responses/response_function_tool_call_item.py | {
"start": 199,
"end": 340
} | class ____(ResponseFunctionToolCall):
id: str # type: ignore
"""The unique ID of the function tool call."""
| ResponseFunctionToolCallItem |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-github/source_github/github_schema.py | {
"start": 925882,
"end": 926600
} | class ____(sgqlc.types.Type):
"""Autogenerated return type of RemoveEnterpriseMember"""
__schema__ = github_schema
__field_names__ = ("client_mutation_id", "enterprise", "user", "viewer")
client_mutation_id = sgqlc.types.Field(String, graphql_name="clientMutationId")
"""A unique identifier for the ... | RemoveEnterpriseMemberPayload |
python | numba__numba | numba/cuda/tests/cudapy/test_vectorize_decor.py | {
"start": 549,
"end": 1548
} | class ____(CUDATestCase):
def test_broadcast(self):
a = np.random.randn(100, 3, 1)
b = a.transpose(2, 1, 0)
def fn(a, b):
return a - b
@vectorize(['float64(float64,float64)'], target='cuda')
def fngpu(a, b):
return a - b
expect = fn(a, b)
... | TestGPUVectorizeBroadcast |
python | sqlalchemy__sqlalchemy | test/ext/test_mutable.py | {
"start": 38444,
"end": 39551
} | class ____(
_CompositeTestBase, fixtures.MappedTest
):
@classmethod
def define_tables(cls, metadata):
Table(
"foo",
metadata,
Column(
"id", Integer, primary_key=True, test_needs_autoincrement=True
),
Column("x", Integer, def... | MutableCompositeColumnDefaultTest |
python | apache__airflow | providers/google/src/airflow/providers/google/cloud/operators/tasks.py | {
"start": 44418,
"end": 48065
} | class ____(GoogleCloudBaseOperator):
"""
Forces to run a task in Cloud Tasks.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:CloudTasksTaskRunOperator`
:param location: The location name in which the task was created.
:... | CloudTasksTaskRunOperator |
python | coleifer__peewee | tests/test_utils.py | {
"start": 201,
"end": 292
} | class ____(TestModel):
key = CharField()
class Meta:
order_by = ('key',)
| Data |
python | rushter__MLAlgorithms | mla/gaussian_mixture.py | {
"start": 194,
"end": 6850
} | class ____(BaseEstimator):
"""Gaussian Mixture Model: clusters with Gaussian prior.
Finds clusters by repeatedly performing Expectation–Maximization (EM) algorithm
on the dataset. GMM assumes the datasets is distributed in multivariate Gaussian,
and tries to find the underlying structure of the Gaussia... | GaussianMixture |
python | walkccc__LeetCode | solutions/3111. Minimum Rectangles to Cover Points/3111.py | {
"start": 0,
"end": 260
} | class ____:
def minRectanglesToCoverPoints(self, points: list[list[int]], w: int) -> int:
ans = 0
prevX = -w - 1
xs = sorted([x for x, _ in points])
for x in xs:
if x > prevX + w:
ans += 1
prevX = x
return ans
| Solution |
python | dask__distributed | distributed/deploy/ssh.py | {
"start": 5779,
"end": 15241
} | class ____(Process):
"""A Remote Dask Scheduler controlled by SSH
Parameters
----------
address: str
The hostname where we should run this worker
connect_options: dict
kwargs to be passed to asyncssh connections
remote_python: str
Path to Python on remote node to run thi... | Scheduler |
python | joblib__joblib | joblib/externals/loky/process_executor.py | {
"start": 40312,
"end": 40479
} | class ____(RuntimeError):
"""
Raised when a ProcessPoolExecutor is shutdown while a future was in the
running or pending state.
"""
| ShutdownExecutorError |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-github/source_github/github_schema.py | {
"start": 133169,
"end": 133823
} | class ____(sgqlc.types.Input):
"""Autogenerated input type of AddProjectV2ItemById"""
__schema__ = github_schema
__field_names__ = ("project_id", "content_id", "client_mutation_id")
project_id = sgqlc.types.Field(sgqlc.types.non_null(ID), graphql_name="projectId")
"""The ID of the Project to add th... | AddProjectV2ItemByIdInput |
python | walkccc__LeetCode | solutions/2902. Count of Sub-Multisets With Bounded Sum/2902.py | {
"start": 0,
"end": 730
} | class ____:
def countSubMultisets(self, nums: list[int], l: int, r: int) -> int:
MOD = 1_000_000_007
# dp[i] := the number of submultisets of `nums` with sum i
dp = [1] + [0] * r
count = collections.Counter(nums)
zeros = count.pop(0, 0)
for num, freq in count.items():
# stride[i] := dp[... | Solution |
python | PyCQA__pylint | tests/functional/u/unpacking/unpacking_non_sequence.py | {
"start": 2558,
"end": 2717
} | class ____:
'base class with `test` method implementation'
@staticmethod
def test(data):
'default implementation'
return data
| TestBase |
python | wandb__wandb | wandb/vendor/pygments/lexers/dsls.py | {
"start": 26223,
"end": 29213
} | class ____(RegexLexer):
"""
Lexer for `Flatline <https://github.com/bigmlcom/flatline>`_ expressions.
.. versionadded:: 2.2
"""
name = 'Flatline'
aliases = ['flatline']
filenames = []
mimetypes = ['text/x-flatline']
special_forms = ('let',)
builtins = (
"!=", "*", "+",... | FlatlineLexer |
python | etianen__django-reversion | tests/test_app/models.py | {
"start": 2141,
"end": 2326
} | class ____(models.Model):
revision = models.ForeignKey(
Revision,
on_delete=models.CASCADE,
)
name = models.CharField(
max_length=191,
)
| TestMeta |
python | pytorch__pytorch | torch/testing/_internal/distributed/rpc/rpc_test.py | {
"start": 9608,
"end": 14292
} | class ____(Exception):
def __init__(self, bool, msg):
self.bool = bool
super().__init__(msg)
def raise_func():
raise ValueError(expected_err)
def custom_raise_func():
raise CustomException(True, "foo")
@torch.jit.script
def raise_func_script(expected_err: str) -> torch.Tensor:
rais... | CustomException |
python | jmcnamara__XlsxWriter | xlsxwriter/test/worksheet/test_cond_format23.py | {
"start": 345,
"end": 7880
} | class ____(unittest.TestCase):
"""
Test assembling a complete Worksheet file.
"""
def test_assemble_xml_file(self):
"""Test writing a worksheet with conditional formatting."""
self.maxDiff = None
fh = StringIO()
worksheet = Worksheet()
worksheet._set_filehandle... | TestAssembleWorksheet |
python | walkccc__LeetCode | solutions/3433. Count Mentions Per User/3433.py | {
"start": 202,
"end": 1592
} | class ____:
def countMentions(
self,
numberOfUsers: int,
events: list[list[str]]
) -> list[int]:
ans = [0] * numberOfUsers
online = [True] * numberOfUsers
offlineQueue = [] # min-heap to track users that are offline
allMentionsCount = 0
events.sort(key=lambda x: (int(x[1]), -... | Solution |
python | instagram__MonkeyType | tests/test_stubs.py | {
"start": 4214,
"end": 4580
} | class ____:
@pytest.mark.parametrize(
'stub, expected',
[
(AttributeStub(name='foo', typ=int), ' foo: int'),
(AttributeStub(name='foo', typ=make_forward_ref('Foo')), ' foo: \'Foo\''),
],
)
def test_simple_attribute(self, stub, expected):
assert s... | TestAttributeStub |
python | dagster-io__dagster | helm/dagster/schema/schema/charts/dagster/subschema/ingress.py | {
"start": 564,
"end": 782
} | class ____(BaseModel):
host: str
path: str
pathType: IngressPathType
tls: IngressTLSConfiguration
precedingPaths: list[IngressPath]
succeedingPaths: list[IngressPath]
| WebserverIngressConfiguration |
python | pallets__werkzeug | tests/test_formparser.py | {
"start": 8358,
"end": 16845
} | class ____:
def test_basic(self):
resources = join(dirname(__file__), "multipart")
client = Client(form_data_consumer)
repository = [
(
"firefox3-2png1txt",
"---------------------------186454651713519341951581030105",
[
... | TestMultiPart |
python | dagster-io__dagster | python_modules/libraries/dagster-snowflake/dagster_snowflake/snowflake_io_manager.py | {
"start": 5264,
"end": 13917
} | class ____(ConfigurableIOManagerFactory):
"""Base class for an IO manager definition that reads inputs from and writes outputs to Snowflake.
Examples:
.. code-block:: python
from dagster_snowflake import SnowflakeIOManager
from dagster_snowflake_pandas import SnowflakePandasTyp... | SnowflakeIOManager |
python | pytorch__pytorch | test/functorch/test_aotdispatch.py | {
"start": 322590,
"end": 323958
} | class ____(AOTTestCase):
@modules(module_db, allowed_dtypes=(torch.float,))
@decorateForModules(unittest.expectedFailure, aot_autograd_module_failures)
def test_aot_autograd_module_exhaustive(self, device, dtype, training, module_info):
_test_aot_autograd_module_helper(self, device, dtype, training,... | TestEagerFusionModuleInfo |
python | apache__airflow | providers/google/tests/unit/google/cloud/operators/test_vertex_ai.py | {
"start": 8347,
"end": 22437
} | class ____:
@mock.patch(VERTEX_AI_PATH.format("custom_job.Dataset"))
@mock.patch(VERTEX_AI_PATH.format("custom_job.CustomJobHook"))
def test_execute(self, mock_hook, mock_dataset):
mock_hook.return_value.create_custom_container_training_job.return_value = (
None,
"training_id... | TestVertexAICreateCustomContainerTrainingJobOperator |
python | hyperopt__hyperopt | hyperopt/tests/unit/test_pyll_utils.py | {
"start": 3945,
"end": 4559
} | class ____(unittest.TestCase):
def test_hp_uniform_raises_error_when_range_is_zero(self):
self.assertRaises(ValueError, hp.uniform, "stub", 10, 10)
def test_hp_quniform_raises_error_when_range_is_zero(self):
self.assertRaises(ValueError, hp.quniform, "stub", 10, 10, 1)
def test_hp_logunifo... | TestDistributionsWithRangeValidateBoundries |
python | pytorch__pytorch | test/export/test_sparse.py | {
"start": 1136,
"end": 1211
} | class ____(torch.nn.Module):
def forward(self, x):
return x
| IdNet |
python | pytorch__pytorch | torch/_inductor/utils.py | {
"start": 114455,
"end": 116657
} | class ____(MutableMapping[KeyType, ValType]):
"""
A dictionary-like object that allows for scoped updates. It maintains
an original dictionary and a set of new items that can override
the original items within the scope. The original dictionary is
unmodified.
"""
def __init__(self, origina... | ScopedDict |
python | numpy__numpy | numpy/_core/tests/test_scalarmath.py | {
"start": 16312,
"end": 19572
} | class ____:
def test_zero_division(self):
with np.errstate(all="ignore"):
for t in [np.complex64, np.complex128]:
a = t(0.0)
b = t(1.0)
assert_(np.isinf(b / a))
b = t(complex(np.inf, np.inf))
assert_(np.isinf(b / a))... | TestComplexDivision |
python | mwaskom__seaborn | tests/_marks/test_base.py | {
"start": 224,
"end": 4973
} | class ____:
def mark(self, **features):
@dataclass
class MockMark(Mark):
linewidth: float = Mappable(rc="lines.linewidth")
pointsize: float = Mappable(4)
color: str = Mappable("C0")
fillcolor: str = Mappable(depend="color")
alpha: float =... | TestMappable |
python | django__django | tests/generic_relations/tests.py | {
"start": 37754,
"end": 38126
} | class ____(SimpleTestCase):
def test_none_allowed(self):
# AllowsNullGFK doesn't require a content_type, so None argument should
# also be allowed.
AllowsNullGFK(content_object=None)
# TaggedItem requires a content_type but initializing with None should
# be allowed.
... | TestInitWithNoneArgument |
python | pytest-dev__pytest | testing/test_subtests.py | {
"start": 26826,
"end": 31689
} | class ____:
"""Check --pdb support for subtests fixture and TestCase.subTest."""
class _FakePdb:
"""Fake debugger class implementation that tracks which methods were called on it."""
quitting: bool = False
calls: list[str] = []
def __init__(self, *_: object, **__: object) -> N... | TestDebugging |
python | microsoft__pyright | packages/pyright-internal/src/tests/samples/matchClass3.py | {
"start": 592,
"end": 630
} | class ____:
title: str
@final
| AFinal |
python | pytorch__pytorch | torch/_dynamo/types.py | {
"start": 3950,
"end": 4034
} | class ____(Protocol):
def __call__(self, record: Any) -> None: ...
| ProfilerEndHook |
python | getsentry__sentry | tests/sentry/models/test_projectcodeowners.py | {
"start": 223,
"end": 3148
} | class ____(TestCase):
def tearDown(self) -> None:
cache.delete(ProjectCodeOwners.get_cache_key(self.project.id))
super().tearDown()
def setUp(self) -> None:
self.login_as(user=self.user)
self.team = self.create_team(
organization=self.organization, slug="tiger-team... | ProjectCodeOwnersTestCase |
python | pyparsing__pyparsing | examples/tiny/tiny_engine.py | {
"start": 1923,
"end": 15187
} | class ____:
"""Runtime engine to execute TINY AST nodes.
Responsibilities:
- Manage I/O buffers (text-based input and output)
- Maintain a simple variable environment (name -> value, with optional type)
- Maintain a stack of frames (local variables) to scope variables defined in functions
- Pro... | TinyEngine |
python | microsoft__pyright | packages/pyright-internal/src/tests/samples/call17.py | {
"start": 420,
"end": 772
} | class ____(Generic[E_co]):
def or_else(self, op: Callable[[E_co], Result[T_co, F]]) -> Result[T_co, F]: ...
Result = Ok[T_co] | Err[E_co]
def inner(func: Callable[[E_co], Err[F]], r: Result[T_co, E_co]) -> Result[T_co, F]:
match r:
case Ok():
return r.or_else(func)
case Err():
... | Err |
python | run-llama__llama_index | llama-index-integrations/tools/llama-index-tools-azure-translate/llama_index/tools/azure_translate/base.py | {
"start": 194,
"end": 1194
} | class ____(BaseToolSpec):
"""Azure Translate tool spec."""
spec_functions = ["translate"]
def __init__(self, api_key: str, region: str) -> None:
"""Initialize with parameters."""
self.headers = {
"Ocp-Apim-Subscription-Key": api_key,
"Ocp-Apim-Subscription-Region": ... | AzureTranslateToolSpec |
python | joke2k__faker | faker/providers/internet/bn_BD/__init__.py | {
"start": 46,
"end": 500
} | class ____(InternetProvider):
"""
Implement internet provider for ``bn_BD`` locale.
"""
free_email_domains = (
"gmail.com",
"yahoo.com",
"hotmail.com",
"mail.ru",
"yandex.ru",
"rambler.ru",
)
tlds = (
"com",
"com",
"com",
... | Provider |
python | huggingface__transformers | src/transformers/models/florence2/modeling_florence2.py | {
"start": 3026,
"end": 4157
} | class ____(nn.Module):
"""
This module learns positional embeddings up to a fixed maximum size.
"""
def __init__(self, config: Florence2Config):
super().__init__()
num_pos = config.vision_config.max_position_embeddings
embedding_dim = config.vision_config.embed_dim[-1]
s... | Florence2VisionLearnedAbsolutePositionEmbedding2D |
python | networkx__networkx | networkx/lazy_imports.py | {
"start": 2281,
"end": 5764
} | class ____(types.ModuleType):
def __init__(self, frame_data, *args, **kwargs):
self.__frame_data = frame_data
super().__init__(*args, **kwargs)
def __getattr__(self, x):
if x in ("__class__", "__file__", "__frame_data"):
super().__getattr__(x)
else:
fd = ... | DelayedImportErrorModule |
python | ray-project__ray | python/ray/data/tests/test_predicate_pushdown.py | {
"start": 28891,
"end": 31214
} | class ____:
"""Tests for PUSH_INTO_BRANCHES behavior operators.
Operator: Union
Predicates are duplicated and pushed into each branch.
"""
def test_simple_union_with_filter(self, ray_start_regular_shared):
"""Filter after union should push into both branches."""
ds1 = ray.data.rang... | TestPushIntoBranchesBehavior |
python | milvus-io__pymilvus | tests/test_connections.py | {
"start": 294,
"end": 7595
} | class ____:
"""
Connect to a connected alias will:
- ignore and return if no configs are given
- raise ConnectionConfigException if inconsistent configs are given
Connect to an existing and not connected alias will:
- connect with the existing alias config if no configs are ... | TestConnect |
python | bokeh__bokeh | src/bokeh/models/renderers/renderer.py | {
"start": 2376,
"end": 3889
} | class ____(StyledElement):
"""An abstract base class for renderer types.
"""
# explicit __init__ to support Init signatures
def __init__(self, *args: Any, **kwargs: Any) -> None:
super().__init__(*args, **kwargs)
level = Enum(RenderLevel, help="""
Specifies the level in which to paint... | Renderer |
python | lazyprogrammer__machine_learning_examples | supervised_class2/bagging_regression.py | {
"start": 1018,
"end": 1927
} | class ____:
def __init__(self, B):
self.B = B
def fit(self, X, Y):
N = len(X)
self.models = []
for b in range(self.B):
idx = np.random.choice(N, size=N, replace=True)
Xb = X[idx]
Yb = Y[idx]
model = DecisionTreeRegressor()
model.fit(Xb, Yb)
self.models.append(mo... | BaggedTreeRegressor |
python | openai__openai-python | src/openai/types/evals/create_eval_completions_run_data_source.py | {
"start": 1408,
"end": 1529
} | class ____(BaseModel):
item: Dict[str, object]
sample: Optional[Dict[str, object]] = None
| SourceFileContentContent |
python | getsentry__sentry | src/sentry/rules/conditions/reappeared_event.py | {
"start": 395,
"end": 1532
} | class ____(EventCondition):
id = "sentry.rules.conditions.reappeared_event.ReappearedEventCondition"
label = "The issue changes state from archived to escalating"
def passes(self, event: GroupEvent, state: EventState) -> bool:
return state.has_escalated
def get_activity(
self, start: d... | ReappearedEventCondition |
python | huggingface__transformers | src/transformers/models/decision_transformer/modeling_decision_transformer.py | {
"start": 3394,
"end": 12458
} | class ____(nn.Module):
def __init__(self, config, is_cross_attention=False, layer_idx=None):
super().__init__()
self.config = config
max_positions = config.max_position_embeddings
self.register_buffer(
"bias",
torch.tril(torch.ones((max_positions, max_position... | DecisionTransformerGPT2Attention |
python | wandb__wandb | wandb/vendor/watchdog_0_9_0/wandb_watchdog/events.py | {
"start": 10575,
"end": 13008
} | class ____(FileSystemEventHandler):
"""
Matches given patterns with file paths associated with occurring events.
"""
def __init__(self, patterns=None, ignore_patterns=None,
ignore_directories=False, case_sensitive=False):
super(PatternMatchingEventHandler, self).__init__()
... | PatternMatchingEventHandler |
python | kamyu104__LeetCode-Solutions | Python/contains-duplicate.py | {
"start": 29,
"end": 189
} | class ____(object):
# @param {integer[]} nums
# @return {boolean}
def containsDuplicate(self, nums):
return len(nums) > len(set(nums))
| Solution |
python | huggingface__transformers | tests/models/fsmt/test_modeling_fsmt.py | {
"start": 20786,
"end": 23700
} | class ____(unittest.TestCase):
padding_idx = 1
tolerance = 1e-4
def test_basic(self):
input_ids = torch.tensor([[4, 10]], dtype=torch.long, device=torch_device)
emb1 = SinusoidalPositionalEmbedding(num_positions=6, embedding_dim=6, padding_idx=self.padding_idx).to(
torch_device
... | TestSinusoidalPositionalEmbeddings |
python | realpython__materials | python-maze-solver/source_code_final/src/maze_solver/models/border.py | {
"start": 33,
"end": 539
} | class ____(IntFlag):
EMPTY = 0
TOP = auto()
BOTTOM = auto()
LEFT = auto()
RIGHT = auto()
@property
def corner(self) -> bool:
return self in (
self.TOP | self.LEFT,
self.TOP | self.RIGHT,
self.BOTTOM | self.LEFT,
self.BOTTOM | self.RIGH... | Border |
python | cython__cython | Cython/Compiler/Nodes.py | {
"start": 312894,
"end": 314039
} | class ____(StatNode):
child_attrs = []
is_terminator = True
def analyse_expressions(self, env):
return self
nogil_check = Node.gil_error
gil_message = "Raising exception"
def generate_execution_code(self, code):
code.mark_pos(self.pos)
vars = code.funcstate.exc_vars
... | ReraiseStatNode |
python | ray-project__ray | python/ray/air/config.py | {
"start": 14472,
"end": 21131
} | class ____:
"""Configurable parameters for defining the checkpointing strategy.
Default behavior is to persist all checkpoints to disk. If
``num_to_keep`` is set, the default retention policy is to keep the
checkpoints with maximum timestamp, i.e. the most recent checkpoints.
Args:
num_to_... | CheckpointConfig |
python | tornadoweb__tornado | tornado/test/ioloop_test.py | {
"start": 807,
"end": 16180
} | class ____(AsyncTestCase):
def test_add_callback_return_sequence(self):
# A callback returning {} or [] shouldn't spin the CPU, see Issue #1803.
self.calls = 0
loop = self.io_loop
test = self
old_add_callback = loop.add_callback
def add_callback(self, callback, *arg... | TestIOLoop |
python | langchain-ai__langchain | libs/core/langchain_core/example_selectors/base.py | {
"start": 178,
"end": 1716
} | class ____(ABC):
"""Interface for selecting examples to include in prompts."""
@abstractmethod
def add_example(self, example: dict[str, str]) -> Any:
"""Add new example to store.
Args:
example: A dictionary with keys as input variables
and values as their values... | BaseExampleSelector |
python | spulec__freezegun | tests/test_warnings.py | {
"start": 139,
"end": 2895
} | class ____:
"""
A module that triggers warnings on attribute access.
This does not happen with regular modules, there has to be a bit of lazy
module magic going on in order for this to happen.
Examples of modules that uses this pattern in real projects can be found at:
py.code - the compiler ... | ModuleWithWarning |
python | lxml__lxml | src/lxml/html/diff.py | {
"start": 21747,
"end": 32304
} | class ____(token):
""" Represents the href in an anchor tag. Unlike other words, we only
show the href when it changes. """
hide_when_equal = True
def html(self):
return ' Link: %s' % self
def tokenize(html, include_hrefs=True):
"""
Parse the given HTML and returns token objects (... | href_token |
python | pytorch__pytorch | test/distributed/test_c10d_gloo.py | {
"start": 7542,
"end": 7759
} | class ____(test_c10d_common.AbstractTimeoutTest, TestCase):
@requires_gloo()
@retry_on_connect_failures
def test_default_store_timeout_gloo(self):
self._test_default_store_timeout("gloo")
| TimeoutTest |
python | walkccc__LeetCode | solutions/2976. Minimum Cost to Convert String I/2976.py | {
"start": 0,
"end": 891
} | class ____:
def minimumCost(
self,
source: str,
target: str,
original: list[str],
changed: list[str],
cost: list[int],
) -> int:
ans = 0
# dist[u][v] := the minimum distance to change ('a' + u) to ('a' + v)
dist = [[math.inf] * 26 for _ in range(26)]
for a, b, c ... | Solution |
python | huggingface__transformers | tests/models/esm/test_modeling_esmfold.py | {
"start": 1151,
"end": 6105
} | class ____:
def __init__(
self,
parent,
batch_size=13,
seq_length=7,
is_training=False,
use_input_mask=True,
use_token_type_ids=False,
use_labels=False,
vocab_size=19,
hidden_size=32,
num_hidden_layers=2,
num_attention_h... | EsmFoldModelTester |
python | keras-team__keras | guides/functional_api.py | {
"start": 22211,
"end": 25135
} | class ____(keras.Model):
def __init__(self, **kwargs):
super().__init__(**kwargs)
self.dense_1 = layers.Dense(64, activation='relu')
self.dense_2 = layers.Dense(10)
def call(self, inputs):
x = self.dense_1(inputs)
return self.dense_2(x)
# Instantiate the model.
mlp = MLP()
# Necessary to crea... | MLP |
python | numpy__numpy | numpy/_core/tests/test_umath.py | {
"start": 91961,
"end": 92474
} | class ____:
def test_log1p(self):
assert_almost_equal(ncu.log1p(0.2), ncu.log(1.2))
assert_almost_equal(ncu.log1p(1e-6), ncu.log(1 + 1e-6))
def test_special(self):
with np.errstate(invalid="ignore", divide="ignore"):
assert_equal(ncu.log1p(np.nan), np.nan)
assert... | TestLog1p |
python | davidhalter__jedi | test/completion/lambdas.py | {
"start": 1408,
"end": 1835
} | class ____(object):
def __init__(self, pred=lambda a, b: a):
self.a = 1
#? int()
self.a
#? float()
pred(1.0, 2)
# -----------------
# test_nocond in grammar (happens in list comprehensions with `if`)
# -----------------
# Doesn't need to do anything yet. It should just not r... | Test |
python | pyqtgraph__pyqtgraph | pyqtgraph/examples/ExampleApp.py | {
"start": 1172,
"end": 1635
} | class ____:
Red = "#B71C1C"
Pink = "#FCE4EC"
Purple = "#4A148C"
DeepPurple = "#311B92"
Indigo = "#1A237E"
Blue = "#0D47A1"
LightBlue = "#01579B"
Cyan = "#006064"
Teal = "#004D40"
Green = "#1B5E20"
LightGreen = "#33691E"
Lime = "#827717"
Yellow = "#F57F17"
Amber =... | LightThemeColors |
python | huggingface__transformers | src/transformers/models/phi/modular_phi.py | {
"start": 8182,
"end": 12411
} | class ____(LlamaModel):
def __init__(self, config: PhiConfig):
super().__init__(config)
self.layers = nn.ModuleList(
[PhiDecoderLayer(config, layer_idx) for layer_idx in range(config.num_hidden_layers)]
)
self.embed_dropout = nn.Dropout(config.embd_pdrop)
self.fin... | PhiModel |
python | gevent__gevent | src/gevent/hub.py | {
"start": 34270,
"end": 34590
} | class ____(object):
__slots__ = ['callback', 'obj']
def __init__(self, callback, obj):
self.callback = callback
self.obj = obj
def __call__(self, *args):
callback = self.callback
obj = self.obj
self.callback = None
self.obj = None
callback(obj)
| linkproxy |
python | ansible__ansible | lib/ansible/plugins/lookup/nested.py | {
"start": 1458,
"end": 1995
} | class ____(LookupBase):
def run(self, terms, variables=None, **kwargs):
my_list = terms[:]
my_list.reverse()
if len(my_list) == 0:
raise AnsibleError("with_nested requires at least one element in the nested list")
result = my_list.pop()
while len(my_list) > 0:
... | LookupModule |
python | doocs__leetcode | solution/1200-1299/1253.Reconstruct a 2-Row Binary Matrix/Solution.py | {
"start": 0,
"end": 671
} | class ____:
def reconstructMatrix(
self, upper: int, lower: int, colsum: List[int]
) -> List[List[int]]:
n = len(colsum)
ans = [[0] * n for _ in range(2)]
for j, v in enumerate(colsum):
if v == 2:
ans[0][j] = ans[1][j] = 1
upper, lower ... | Solution |
python | PyCQA__pylint | tests/functional/u/unused/unused_private_member.py | {
"start": 162,
"end": 247
} | class ____():
def __test(self): # [unused-private-member]
pass
| AnotherClass |
python | weaviate__weaviate-python-client | weaviate/collections/queries/near_vector/generate/async_.py | {
"start": 318,
"end": 473
} | class ____(
Generic[Properties, References],
_NearVectorGenerateExecutor[ConnectionAsync, Properties, References],
):
pass
| _NearVectorGenerateAsync |
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