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 | pytorch__pytorch | test/dynamo/test_higher_order_ops.py | {
"start": 150748,
"end": 152886
} | class ____(torch.nn.Module):
def forward(self, L_x_: "f32[5]"):
l_x_ = L_x_
_saved_tensors_hooks_disable = torch._C._autograd._saved_tensors_hooks_disable("torch.func.{grad, vjp, jacrev, hessian} don't yet support saved tensor hooks. Please open an issue with your use case."); _saved_tensors_hooks... | GraphModule |
python | dagster-io__dagster | python_modules/dagster/dagster/_core/errors.py | {
"start": 8486,
"end": 8771
} | class ____(DagsterError):
"""Thrown when a run cannot be found in run storage."""
def __init__(self, *args, **kwargs):
self.invalid_run_id = check.str_param(kwargs.pop("invalid_run_id"), "invalid_run_id")
super().__init__(*args, **kwargs)
| DagsterRunNotFoundError |
python | tensorflow__tensorflow | tensorflow/python/distribute/vars_test.py | {
"start": 19315,
"end": 28183
} | class ____(test.TestCase, parameterized.TestCase):
@combinations.generate(ms_combination)
def testScatterSub(self, distribution):
with distribution.scope():
v = variables_lib.Variable(
[0., 0., 0.], aggregation=variables_lib.VariableAggregation.MEAN)
self.evaluate(v.initializer)
@def_f... | OnWriteVariableSyncScatterTests |
python | RaRe-Technologies__gensim | gensim/similarities/docsim.py | {
"start": 29340,
"end": 34581
} | class ____(interfaces.SimilarityABC):
"""Compute cosine similarity against a corpus of documents by storing the index matrix in memory.
Unless the entire matrix fits into main memory, use :class:`~gensim.similarities.docsim.Similarity` instead.
Examples
--------
.. sourcecode:: pycon
>>> ... | MatrixSimilarity |
python | docker__docker-py | docker/errors.py | {
"start": 4659,
"end": 4843
} | class ____(DockerException):
def __init__(self, param):
self.param = param
def __str__(self):
return (f"missing parameter: {self.param}")
| MissingContextParameter |
python | django__django | tests/multiple_database/tests.py | {
"start": 49453,
"end": 50684
} | class ____(SimpleTestCase):
@override_settings(
DATABASE_ROUTERS=[
"multiple_database.tests.TestRouter",
"multiple_database.tests.WriteRouter",
]
)
def test_router_init_default(self):
connection_router = ConnectionRouter()
self.assertEqual(
... | ConnectionRouterTestCase |
python | Lightning-AI__lightning | src/lightning/fabric/utilities/load.py | {
"start": 1358,
"end": 6092
} | class ____:
def __init__(
self,
metatensor: Tensor,
archiveinfo: "_LazyLoadingUnpickler",
storageinfo: tuple,
rebuild_args: tuple,
) -> None:
self.metatensor = metatensor
self.archiveinfo = archiveinfo
self.storageinfo = storageinfo
self.re... | _NotYetLoadedTensor |
python | python-attrs__attrs | src/attr/validators.py | {
"start": 15915,
"end": 16719
} | class ____:
min_length = attrib()
def __call__(self, inst, attr, value):
"""
We use a callable class to be able to change the ``__repr__``.
"""
if len(value) < self.min_length:
msg = f"Length of '{attr.name}' must be >= {self.min_length}: {len(value)}"
ra... | _MinLengthValidator |
python | apache__airflow | providers/google/src/airflow/providers/google/cloud/operators/dataplex.py | {
"start": 141414,
"end": 145195
} | class ____(DataplexCatalogBaseOperator):
"""
List AspectType resources.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:DataplexCatalogListAspectTypesOperator`
:param filter_by: Optional. Filter to apply on the list results.... | DataplexCatalogListAspectTypesOperator |
python | prabhupant__python-ds | data_structures/graphs/print_all_paths_between_nodes.py | {
"start": 37,
"end": 1039
} | class ____:
def __init__(self, vertices):
self.graph = defaultdict(list)
self.vertices = vertices
def add_edge(self, u, v):
self.graph[u].append(v)
def print_path(self, s, d, visited, path):
visited[s] = True
path.append(s)
if s == d:
print(... | Graph |
python | google__jax | jax/_src/scipy/optimize/minimize.py | {
"start": 884,
"end": 4954
} | class ____(NamedTuple):
"""Object holding optimization results.
Parameters:
x: final solution.
success: ``True`` if optimization succeeded.
status: integer solver specific return code. 0 means converged (nominal),
1=max BFGS iters reached, 3=zoom failed, 4=saddle point reached,
5=max line s... | OptimizeResults |
python | getsentry__sentry | src/sentry/plugins/base/structs.py | {
"start": 228,
"end": 615
} | class ____:
def __init__(self, event, rule=None, rules=None):
if rule and not rules:
rules = [rule]
self.event = event
self.rules = rules or []
@property
def rule(self):
warnings.warn(
"Notification.rule is deprecated. Switch to Notification.rules.",... | Notification |
python | mlflow__mlflow | mlflow/sklearn/__init__.py | {
"start": 20478,
"end": 21548
} | class ____:
_SUPPORTED_CUSTOM_PREDICT_FN = [
"predict_proba",
"predict_log_proba",
"predict_joint_log_proba",
"score",
]
def __init__(self, sklearn_model):
self.sklearn_model = sklearn_model
# Patch the model with custom predict functions that can be specifi... | _SklearnModelWrapper |
python | charliermarsh__ruff | crates/ruff_linter/resources/test/fixtures/flake8_pyi/PYI034.py | {
"start": 4178,
"end": 4418
} | class ____:
def __new__() -> InvalidButPluginDoesNotCrash:
...
def __enter__() -> InvalidButPluginDoesNotCrash:
...
async def __aenter__() -> InvalidButPluginDoesNotCrash:
...
| InvalidButPluginDoesNotCrash |
python | sympy__sympy | sympy/stats/crv.py | {
"start": 1290,
"end": 1554
} | class ____(RandomDomain):
"""
A domain with continuous support
Represented using symbols and Intervals.
"""
is_Continuous = True
def as_boolean(self):
raise NotImplementedError("Not Implemented for generic Domains")
| ContinuousDomain |
python | getsentry__sentry | tests/sentry/integrations/slack/notifications/test_nudge.py | {
"start": 326,
"end": 1542
} | class ____(SlackActivityNotificationTest):
@responses.activate
def test_nudge_block(self) -> None:
notification = IntegrationNudgeNotification(
self.organization,
recipient=Actor.from_object(self.user),
provider=ExternalProviders.SLACK,
seed=SEED,
... | SlackNudgeNotificationTest |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-github/source_github/github_schema.py | {
"start": 65332,
"end": 65664
} | class ____(sgqlc.types.Enum):
"""The layout of a project v2 view.
Enumeration Choices:
* `BOARD_LAYOUT`: Board layout
* `ROADMAP_LAYOUT`: Roadmap layout
* `TABLE_LAYOUT`: Table layout
"""
__schema__ = github_schema
__choices__ = ("BOARD_LAYOUT", "ROADMAP_LAYOUT", "TABLE_LAYOUT")
| ProjectV2ViewLayout |
python | spack__spack | lib/spack/spack/package_base.py | {
"start": 107708,
"end": 107866
} | class ____(InvalidPackageOpError):
"""Raised when attempting an invalid operation on a package that requires a manual download."""
| ManualDownloadRequiredError |
python | Pylons__pyramid | tests/test_util.py | {
"start": 12174,
"end": 12931
} | class ____(unittest.TestCase):
def _callFUT(self, *args, **kw):
from pyramid.util import strings_differ
return strings_differ(*args, **kw)
def test_it_bytes(self):
self.assertFalse(self._callFUT(b'foo', b'foo'))
self.assertTrue(self._callFUT(b'123', b'345'))
self.assert... | Test_strings_differ |
python | apache__airflow | providers/google/tests/unit/google/cloud/operators/test_looker.py | {
"start": 2000,
"end": 5969
} | class ____(LookerTestBase):
@mock.patch(OPERATOR_PATH.format("LookerHook"))
def test_execute(self, mock_hook):
# mock return vals from hook
mock_hook.return_value.start_pdt_build.return_value.materialization_id = TEST_JOB_ID
mock_hook.return_value.wait_for_job.return_value = None
... | TestLookerStartPdtBuildOperator |
python | getsentry__sentry | tests/apidocs/endpoints/scim/test_group_index.py | {
"start": 184,
"end": 1197
} | class ____(APIDocsTestCase, SCIMTestCase):
def setUp(self) -> None:
super().setUp()
self.member = self.create_member(user=self.create_user(), organization=self.organization)
self.team = self.create_team(organization=self.organization, members=[self.user])
self.url = reverse(
... | SCIMTeamIndexDocs |
python | tornadoweb__tornado | tornado/test/netutil_test.py | {
"start": 5331,
"end": 5463
} | class ____(_ResolverTestMixin):
def setUp(self):
super().setUp()
self.resolver = CaresResolver()
| CaresResolverTest |
python | django__django | tests/backends/base/test_base.py | {
"start": 468,
"end": 3830
} | class ____(SimpleTestCase):
def test_repr(self):
conn = connections[DEFAULT_DB_ALIAS]
self.assertEqual(
repr(conn),
f"<DatabaseWrapper vendor={connection.vendor!r} alias='default'>",
)
def test_initialization_class_attributes(self):
"""
The "initi... | DatabaseWrapperTests |
python | redis__redis-py | redis/commands/search/querystring.py | {
"start": 2411,
"end": 2607
} | class ____(Value):
combinable = False
def __init__(self, *tags):
self.tags = tags
def to_string(self):
return "{" + " | ".join(str(t) for t in self.tags) + "}"
| TagValue |
python | tensorflow__tensorflow | tensorflow/python/framework/errors_impl.py | {
"start": 14692,
"end": 15171
} | class ____(OpError):
"""Raised when an operation was aborted, typically due to a concurrent action.
For example, running a
`tf.queue.QueueBase.enqueue`
operation may raise `AbortedError` if a
`tf.queue.QueueBase.close` operation
previously ran.
"""
def __init__(self, node_def, op, message, *args):
... | AbortedError |
python | astropy__astropy | astropy/modeling/tests/test_spline.py | {
"start": 880,
"end": 11678
} | class ____:
def setup_class(self):
self.num_opt = 3
self.optional_inputs = {f"test{i}": mk.MagicMock() for i in range(self.num_opt)}
self.extra_kwargs = {f"new{i}": mk.MagicMock() for i in range(self.num_opt)}
class Spline(_Spline):
optional_inputs = {"test": "test"}
... | TestSpline |
python | getsentry__sentry | tests/sentry/integrations/slack/test_link_identity.py | {
"start": 6040,
"end": 7496
} | class ____(SlackIntegrationLinkIdentityTestBase):
def setUp(self) -> None:
super().setUp()
self.unlinking_url = build_unlinking_url(
self.integration.id,
self.external_id,
self.channel_id,
self.response_url,
)
def test_basic_flow(self) ->... | SlackIntegrationUnlinkIdentityTest |
python | pandas-dev__pandas | pandas/core/computation/ops.py | {
"start": 4603,
"end": 7816
} | class ____:
"""
Hold an operator of arbitrary arity.
"""
op: str
def __init__(self, op: str, operands: Iterable[Term | Op], encoding=None) -> None:
self.op = _bool_op_map.get(op, op)
self.operands = operands
self.encoding = encoding
def __iter__(self) -> Iterator:
... | Op |
python | doocs__leetcode | solution/2400-2499/2470.Number of Subarrays With LCM Equal to K/Solution.py | {
"start": 0,
"end": 296
} | class ____:
def subarrayLCM(self, nums: List[int], k: int) -> int:
n = len(nums)
ans = 0
for i in range(n):
a = nums[i]
for b in nums[i:]:
x = lcm(a, b)
ans += x == k
a = x
return ans
| Solution |
python | mwaskom__seaborn | tests/_core/test_scales.py | {
"start": 548,
"end": 10290
} | class ____:
@pytest.fixture
def x(self):
return pd.Series([1, 3, 9], name="x", dtype=float)
def setup_ticks(self, x, *args, **kwargs):
s = Continuous().tick(*args, **kwargs)._setup(x, Coordinate())
a = PseudoAxis(s._matplotlib_scale)
a.set_view_interval(0, 1)
retur... | TestContinuous |
python | pytorch__pytorch | benchmarks/functional_autograd_benchmark/torchvision_models.py | {
"start": 12133,
"end": 13035
} | class ____(nn.Module):
__constants__ = ["aux_classifier"]
def __init__(self, backbone, classifier, aux_classifier=None):
super().__init__()
self.backbone = backbone
self.classifier = classifier
self.aux_classifier = aux_classifier
def forward(self, x):
input_shape =... | _SimpleSegmentationModel |
python | ipython__ipython | IPython/lib/backgroundjobs.py | {
"start": 16756,
"end": 17680
} | class ____(BackgroundJobBase):
"""Run a function call as a background job (uses a separate thread)."""
def __init__(self, func, *args, **kwargs):
"""Create a new job from a callable object.
Any positional arguments and keyword args given to this constructor
after the initial callable a... | BackgroundJobFunc |
python | bokeh__bokeh | src/bokeh/protocol/exceptions.py | {
"start": 1670,
"end": 1881
} | class ____(Exception):
''' Indicate an error in processing wire protocol fragments.
This exception indicates that decoded message fragments cannot be properly
assembled.
'''
pass
| ProtocolError |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-github/source_github/github_schema.py | {
"start": 1592924,
"end": 1593086
} | class ____(sgqlc.types.Union):
"""Types that can be pinned to a profile page."""
__schema__ = github_schema
__types__ = (Gist, Repository)
| PinnableItem |
python | django-mptt__django-mptt | tests/myapp/tests.py | {
"start": 41465,
"end": 48404
} | class ____(TreeTestCase):
fixtures = ["categories.json", "genres.json", "persons.json"]
def test_all_managers_are_different(self):
# all tree managers should be different. otherwise, possible infinite recursion.
seen = {}
for model in apps.get_models():
if not issubclass(mod... | ManagerTests |
python | great-expectations__great_expectations | great_expectations/exceptions/exceptions.py | {
"start": 14960,
"end": 15338
} | class ____(ValidationActionRegistryError):
def __init__(self, action_type: str | None) -> None:
if action_type:
message = f"Invalid action configuration; no action of type {action_type} found."
else:
message = "Invalid action configuration; no 'type' key found."
supe... | ValidationActionRegistryRetrievalError |
python | numpy__numpy | numpy/lib/_arraysetops_impl.py | {
"start": 14944,
"end": 15030
} | class ____(NamedTuple):
values: np.ndarray
counts: np.ndarray
| UniqueCountsResult |
python | wandb__wandb | wandb/vendor/graphql-core-1.1/wandb_graphql/type/definition.py | {
"start": 11625,
"end": 14224
} | class ____(GraphQLType):
"""Enum Type Definition
Some leaf values of requests and input values are Enums. GraphQL serializes Enum values as strings,
however internally Enums can be represented by any kind of type, often integers.
Example:
RGBType = GraphQLEnumType(
name='RGB',
... | GraphQLEnumType |
python | kamyu104__LeetCode-Solutions | Python/remove-element.py | {
"start": 29,
"end": 444
} | class ____(object):
# @param A a list of integers
# @param elem an integer, value need to be removed
# @return an integer
def removeElement(self, A, elem):
i, last = 0, len(A) - 1
while i <= last:
if A[i] == elem:
A[i], A[last] = A[last], A[i]
... | Solution |
python | tensorflow__tensorflow | tensorflow/python/distribute/combinations_test.py | {
"start": 8056,
"end": 8286
} | class ____(test.TestCase, parameterized.TestCase):
def testSysArgvClearedIsFine(self):
original_argv = list(sys.argv)
sys.argv.clear()
importlib.reload(combinations)
sys.argv = original_argv
| ModuleInitializingTest |
python | django__django | tests/queries/models.py | {
"start": 9386,
"end": 9454
} | class ____(ObjectA):
class Meta:
proxy = True
| ProxyObjectA |
python | allegroai__clearml | clearml/backend_api/session/jsonmodels/fields.py | {
"start": 4441,
"end": 4770
} | class ____(BaseField):
"""Integer field."""
types = (int,)
def parse_value(self, value: Any) -> Optional[int]:
"""Cast value to `int`, e.g. from string or long"""
parsed = super(IntField, self).parse_value(value)
if parsed is None:
return parsed
return int(parse... | IntField |
python | encode__django-rest-framework | tests/schemas/test_managementcommand.py | {
"start": 545,
"end": 843
} | class ____:
SCHEMA = {"key": "value"}
def __init__(self, *args, **kwargs):
pass
def get_schema(self, **kwargs):
return self.SCHEMA
@override_settings(ROOT_URLCONF=__name__)
@pytest.mark.skipif(not uritemplate, reason='uritemplate is not installed')
| CustomSchemaGenerator |
python | doocs__leetcode | solution/3600-3699/3645.Maximum Total from Optimal Activation Order/Solution.py | {
"start": 0,
"end": 308
} | class ____:
def maxTotal(self, value: List[int], limit: List[int]) -> int:
g = defaultdict(list)
for v, lim in zip(value, limit):
g[lim].append(v)
ans = 0
for lim, vs in g.items():
vs.sort()
ans += sum(vs[-lim:])
return ans
| Solution |
python | eventlet__eventlet | tests/convenience_test.py | {
"start": 308,
"end": 6303
} | class ____(tests.LimitedTestCase):
def setUp(self):
super().setUp()
debug.hub_exceptions(False)
def tearDown(self):
super().tearDown()
debug.hub_exceptions(True)
def test_exiting_server(self):
# tests that the server closes the client sock on handle() exit
d... | TestServe |
python | astropy__astropy | astropy/io/ascii/html.py | {
"start": 3149,
"end": 4199
} | class ____(core.BaseSplitter):
"""
Split HTML table data.
"""
def __call__(self, lines):
"""
Return HTML data from lines as a generator.
"""
for line in lines:
if not isinstance(line, SoupString):
raise TypeError("HTML lines should be of type ... | HTMLSplitter |
python | keon__algorithms | tests/test_dp.py | {
"start": 3865,
"end": 4310
} | class ____(unittest.TestCase):
def test_get_maximum_value(self):
item1, item2, item3 = Item(60, 10), Item(100, 20), Item(120, 30)
self.assertEqual(220, get_maximum_value([item1, item2, item3], 50))
item1, item2, item3, item4 = Item(60, 5), Item(50, 3), Item(70, 4), Item(30, 2)
self.... | TestKnapsack |
python | django__django | tests/migrations/test_migrations_conflict_long_name/0001_initial.py | {
"start": 43,
"end": 281
} | class ____(migrations.Migration):
initial = True
operations = [
migrations.CreateModel(
"Author",
[
("id", models.AutoField(primary_key=True)),
],
),
]
| Migration |
python | getsentry__sentry | src/sentry/middleware/stats.py | {
"start": 369,
"end": 817
} | class ____(MiddlewareMixin):
def process_response(self, request: Request, response: Response) -> Response:
metrics.incr("response", instance=str(response.status_code), skip_internal=False)
return response
def process_exception(self, request: Request, exception: Exception) -> None:
if no... | ResponseCodeMiddleware |
python | numba__numba | numba/tests/test_iteration.py | {
"start": 6612,
"end": 7049
} | class ____(MemoryLeakMixin, TestCase):
def test_zip_with_arrays(self):
@njit
def foo(sequence):
c = 0
for a, b in zip(range(len(sequence)), sequence):
c += (a + 1) * b.sum()
return
sequence = [np.arange(1 + i) for i in range(10)]
s... | TestIterationRefct |
python | kamyu104__LeetCode-Solutions | Python/sort-even-and-odd-indices-independently.py | {
"start": 2720,
"end": 2962
} | class ____(object):
def sortEvenOdd(self, nums):
"""
:type nums: List[int]
:rtype: List[int]
"""
nums[::2], nums[1::2] = sorted(nums[::2]), sorted(nums[1::2], reverse=True)
return nums
| Solution3 |
python | langchain-ai__langchain | libs/cli/langchain_cli/namespaces/migrate/generate/utils.py | {
"start": 418,
"end": 7001
} | class ____(ast.NodeVisitor):
"""Import extractor."""
def __init__(self, *, from_package: str | None = None) -> None:
"""Extract all imports from the given code, optionally filtering by package."""
self.imports: list[tuple[str, str]] = []
self.package = from_package
@override
de... | ImportExtractor |
python | scipy__scipy | benchmarks/benchmarks/go_benchmark_functions/go_funcs_A.py | {
"start": 6771,
"end": 7933
} | class ____(Benchmark):
r"""
AMGM objective function.
The AMGM (Arithmetic Mean - Geometric Mean Equality) global optimization
problem is a multimodal minimization problem defined as follows
.. math::
f_{\text{AMGM}}(x) = \left ( \frac{1}{n} \sum_{i=1}^{n} x_i -
\sqrt[n]{ \prod_{... | AMGM |
python | numpy__numpy | numpy/lib/tests/test_histograms.py | {
"start": 25521,
"end": 33951
} | class ____:
def test_simple(self):
x = np.array([[-.5, .5, 1.5], [-.5, 1.5, 2.5], [-.5, 2.5, .5],
[.5, .5, 1.5], [.5, 1.5, 2.5], [.5, 2.5, 2.5]])
H, edges = histogramdd(x, (2, 3, 3),
range=[[-1, 1], [0, 3], [0, 3]])
answer = np.array([... | TestHistogramdd |
python | huggingface__transformers | src/transformers/models/cwm/modular_cwm.py | {
"start": 9523,
"end": 9589
} | class ____(BaseModelOutputWithPast):
pass
| CwmModelOutputWithPast |
python | pytorch__pytorch | test/test_tensorboard.py | {
"start": 7469,
"end": 10243
} | class ____(BaseTestCase):
def test_to_HWC(self):
test_image = np.random.randint(0, 256, size=(3, 32, 32), dtype=np.uint8)
converted = convert_to_HWC(test_image, "chw")
self.assertEqual(converted.shape, (32, 32, 3))
test_image = np.random.randint(0, 256, size=(16, 3, 32, 32), dtype=np... | TestTensorBoardUtils |
python | tensorflow__tensorflow | tensorflow/python/data/experimental/kernel_tests/prefetch_with_slack_test.py | {
"start": 1157,
"end": 4140
} | class ____(test_base.DatasetTestBase, parameterized.TestCase):
def setUp(self):
super(PrefetchWithSlackTest, self).setUp()
self._devices = self.configureDevicesForMultiDeviceTest(3)
@combinations.generate(test_base.default_test_combinations())
def testPrefetchWithSlackOption(self):
"""Determines sla... | PrefetchWithSlackTest |
python | langchain-ai__langchain | libs/langchain/langchain_classic/evaluation/exact_match/base.py | {
"start": 144,
"end": 3058
} | class ____(StringEvaluator):
"""Compute an exact match between the prediction and the reference.
Examples:
----------
>>> evaluator = ExactMatchChain()
>>> evaluator.evaluate_strings(
prediction="Mindy is the CTO",
reference="Mindy is the CTO",
) # This will return ... | ExactMatchStringEvaluator |
python | tornadoweb__tornado | demos/s3server/s3server.py | {
"start": 1999,
"end": 2800
} | class ____(web.Application):
"""Implementation of an S3-like storage server based on local files.
If bucket depth is given, we break files up into multiple directories
to prevent hitting file system limits for number of files in each
directories. 1 means one level of directories, 2 means 2, etc.
""... | S3Application |
python | huggingface__transformers | src/transformers/models/glm4v_moe/modeling_glm4v_moe.py | {
"start": 24085,
"end": 24822
} | class ____(nn.Module):
def __init__(self, hidden_size, eps=1e-6):
"""
Glm4vMoeTextRMSNorm is equivalent to T5LayerNorm
"""
super().__init__()
self.weight = nn.Parameter(torch.ones(hidden_size))
self.variance_epsilon = eps
def forward(self, hidden_states):
... | Glm4vMoeTextRMSNorm |
python | networkx__networkx | networkx/algorithms/tests/test_cuts.py | {
"start": 4850,
"end": 5376
} | class ____:
"""Unit tests for the :func:`~networkx.mixing_expansion` function."""
def test_graph(self):
G = nx.barbell_graph(5, 0)
S = set(range(5))
T = set(G) - S
expansion = nx.mixing_expansion(G, S, T)
# There is one cut edge, and the total number of edges in the
... | TestMixingExpansion |
python | doocs__leetcode | solution/2600-2699/2678.Number of Senior Citizens/Solution.py | {
"start": 0,
"end": 127
} | class ____:
def countSeniors(self, details: List[str]) -> int:
return sum(int(x[11:13]) > 60 for x in details)
| Solution |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-github/source_github/github_schema.py | {
"start": 830187,
"end": 830597
} | class ____(sgqlc.types.Type):
"""Represents a object that contains package activity statistics such
as downloads.
"""
__schema__ = github_schema
__field_names__ = ("downloads_total_count",)
downloads_total_count = sgqlc.types.Field(sgqlc.types.non_null(Int), graphql_name="downloadsTotalCount")
... | PackageStatistics |
python | dagster-io__dagster | python_modules/libraries/dagster-dbt/dagster_dbt/core/dbt_cli_invocation.py | {
"start": 1469,
"end": 1655
} | class ____(NamedTuple):
"""Hashable representation of the information needed to identify a relation in a database."""
database: str
schema: str
identifier: str
| RelationKey |
python | numba__numba | numba/tests/test_dispatcher.py | {
"start": 30217,
"end": 32504
} | class ____(TestCase):
def test_pass_dispatcher_as_arg(self):
# Test that a Dispatcher object can be pass as argument
@jit(nopython=True)
def add1(x):
return x + 1
@jit(nopython=True)
def bar(fn, x):
return fn(x)
@jit(nopython=True)
de... | TestDispatcherFunctionBoundaries |
python | pyca__cryptography | src/cryptography/hazmat/primitives/ciphers/base.py | {
"start": 1411,
"end": 1632
} | class ____(CipherContext, metaclass=abc.ABCMeta):
@abc.abstractmethod
def authenticate_additional_data(self, data: Buffer) -> None:
"""
Authenticates the provided bytes.
"""
| AEADCipherContext |
python | prompt-toolkit__python-prompt-toolkit | src/prompt_toolkit/input/vt100_parser.py | {
"start": 984,
"end": 1077
} | class ____:
"""Helper object to indicate flush operation to the parser."""
pass
| _Flush |
python | skorch-dev__skorch | skorch/callbacks/logging.py | {
"start": 28855,
"end": 34232
} | class ____(Callback):
"""Logs results from history to Sacred.
Sacred is a tool to help you configure, organize, log and reproduce
experiments. Developed at IDSIA. See https://github.com/IDSIA/sacred.
Use this callback to automatically log all interesting values from
your net's history to Sacred.
... | SacredLogger |
python | doocs__leetcode | solution/0200-0299/0222.Count Complete Tree Nodes/Solution2.py | {
"start": 192,
"end": 660
} | class ____:
def countNodes(self, root: Optional[TreeNode]) -> int:
def depth(root):
d = 0
while root:
d += 1
root = root.left
return d
if root is None:
return 0
left, right = depth(root.left), depth(root.right)
... | Solution |
python | pytorch__pytorch | test/dynamo/test_subclasses.py | {
"start": 105406,
"end": 106918
} | class ____(torch.nn.Module):
def forward(
self,
primals_1: "Sym(s16)", # PlainAOTInput(idx=0)
primals_2: "f32[3, s16]", # SubclassGetAttrAOTInput(base=PlainAOTInput(idx=1), attr='a')
primals_3: "f32[3, s16]", # SubclassGetAttrAOTInput(base=PlainAOTInput(idx=1), attr='b')
p... | GraphModule |
python | Textualize__textual | tests/input/test_cut_copy_paste.py | {
"start": 79,
"end": 1714
} | class ____(App):
def compose(self) -> ComposeResult:
yield Input()
async def test_cut():
"""Check that cut removes text and places it in the clipboard."""
app = InputApp()
async with app.run_test() as pilot:
input = app.query_one(Input)
await pilot.click(input)
await pi... | InputApp |
python | huggingface__transformers | tests/models/gpt_sw3/test_tokenization_gpt_sw3.py | {
"start": 950,
"end": 8047
} | class ____(TokenizerTesterMixin, unittest.TestCase):
from_pretrained_id = "AI-Sweden-Models/gpt-sw3-126m"
tokenizer_class = GPTSw3Tokenizer
test_rust_tokenizer = False
test_sentencepiece = True
test_sentencepiece_ignore_case = False
@classmethod
def setUpClass(cls):
super().setUpCla... | GPTSw3TokenizationTest |
python | walkccc__LeetCode | solutions/225. Implement Stack using Queues/225.py | {
"start": 0,
"end": 350
} | class ____:
def __init__(self):
self.q = collections.deque()
def push(self, x: int) -> None:
self.q.append(x)
for _ in range(len(self.q) - 1):
self.q.append(self.q.popleft())
def pop(self) -> int:
return self.q.popleft()
def top(self) -> int:
return self.q[0]
def empty(self) -> b... | MyStack |
python | google__pytype | pytype/abstract/function.py | {
"start": 34416,
"end": 34711
} | class ____(abc.ABC):
"""Wrapper for a function return type."""
@property
@abc.abstractmethod
def name(self):
...
@abc.abstractmethod
def instantiate_parameter(self, node, param_name):
...
@abc.abstractmethod
def get_parameter(self, node, param_name):
...
| _ReturnType |
python | django-guardian__django-guardian | guardian/testapp/models.py | {
"start": 519,
"end": 647
} | class ____:
def __init__(self):
pass
def __getattr__(self, key):
return DynamicAccessor()
| DynamicAccessor |
python | huggingface__transformers | tests/models/qwen2_vl/test_modeling_qwen2_vl.py | {
"start": 14840,
"end": 27342
} | class ____(unittest.TestCase):
def setUp(self):
self.processor = AutoProcessor.from_pretrained("Qwen/Qwen2-VL-7B-Instruct")
self.messages = [
{
"role": "user",
"content": [
{"type": "image"},
{"type": "text", "text":... | Qwen2VLIntegrationTest |
python | getsentry__sentry | fixtures/safe_migrations_apps/good_flow_delete_field_pending_with_fk_constraint_app/migrations/0003_delete.py | {
"start": 190,
"end": 571
} | class ____(CheckedMigration):
dependencies = [
(
"good_flow_delete_field_pending_with_fk_constraint_app",
"0002_remove_constraints_and_pending",
),
]
operations = [
SafeRemoveField(
model_name="testtable",
name="fk_table",
... | Migration |
python | huggingface__transformers | tests/models/apertus/test_modeling_apertus.py | {
"start": 1330,
"end": 1463
} | class ____(CausalLMModelTester):
if is_torch_available():
base_model_class = ApertusModel
@require_torch
| ApertusModelTester |
python | scipy__scipy | scipy/fftpack/tests/test_basic.py | {
"start": 9189,
"end": 11199
} | class ____:
def setup_method(self):
np.random.seed(1234)
def test_definition(self):
x1 = [1,2,3,4,1,2,3,4]
x1_1 = [1,2+3j,4+1j,2+3j,4,2-3j,4-1j,2-3j]
x2 = [1,2,3,4,1,2,3,4,5]
x2_1 = [1,2+3j,4+1j,2+3j,4+5j,4-5j,2-3j,4-1j,2-3j]
def _test(x, xr):
y = ir... | _TestIRFFTBase |
python | apache__airflow | providers/cncf/kubernetes/src/airflow/providers/cncf/kubernetes/operators/resource.py | {
"start": 4786,
"end": 6179
} | class ____(KubernetesResourceBaseOperator):
"""Create a resource in a kubernetes."""
def create_custom_from_yaml_object(self, body: dict):
group, version, namespace, plural = self.get_crd_fields(body)
if self.namespaced:
self.custom_object_client.create_namespaced_custom_object(grou... | KubernetesCreateResourceOperator |
python | allegroai__clearml | clearml/backend_api/services/v2_23/events.py | {
"start": 191928,
"end": 194568
} | class ____(Response):
"""
Response of events.vector_metrics_iter_histogram endpoint.
:param images:
:type images: Sequence[dict]
"""
_service = "events"
_action = "vector_metrics_iter_histogram"
_version = "2.23"
_schema = {
"definitions": {},
"properties": {"images... | VectorMetricsIterHistogramResponse |
python | getsentry__sentry | tests/sentry/models/test_groupresolution.py | {
"start": 171,
"end": 9761
} | class ____(TestCase):
def setUp(self) -> None:
super().setUp()
self.old_release = self.create_release(
version="a", date_added=timezone.now() - timedelta(minutes=30)
)
self.new_release = self.create_release(version="b")
self.group = self.create_group()
sel... | GroupResolutionTest |
python | hynek__structlog | tests/test_config.py | {
"start": 10963,
"end": 13276
} | class ____:
def test_wrap_passes_args(self):
"""
wrap_logger propagates all arguments to the wrapped bound logger.
"""
logger = object()
p = wrap_logger(logger, processors=[1, 2, 3], context_class=dict)
assert logger is p._logger
assert [1, 2, 3] == p._proces... | TestFunctions |
python | scikit-learn__scikit-learn | sklearn/externals/_packaging/_structures.py | {
"start": 2196,
"end": 2922
} | class ____:
def __repr__(self) -> str:
return "-Infinity"
def __hash__(self) -> int:
return hash(repr(self))
def __lt__(self, other: object) -> bool:
return True
def __le__(self, other: object) -> bool:
return True
def __eq__(self, other: object) -> bool:
... | NegativeInfinityType |
python | doocs__leetcode | solution/3200-3299/3290.Maximum Multiplication Score/Solution.py | {
"start": 0,
"end": 358
} | class ____:
def maxScore(self, a: List[int], b: List[int]) -> int:
@cache
def dfs(i: int, j: int) -> int:
if j >= len(b):
return 0 if i >= len(a) else -inf
if i >= len(a):
return 0
return max(dfs(i, j + 1), a[i] * b[j] + dfs(i + 1, ... | Solution |
python | dagster-io__dagster | python_modules/libraries/dagster-dbt/dagster_dbt/components/dbt_project/component.py | {
"start": 2320,
"end": 3696
} | class ____(dg.Resolvable):
"""Aligns with DbtProject.__new__."""
project_dir: str
target_path: Optional[str] = None
profiles_dir: Optional[str] = None
profile: Optional[str] = None
target: Optional[str] = None
packaged_project_dir: Optional[str] = None
state_path: Optional[str] = None
... | DbtProjectArgs |
python | sqlalchemy__sqlalchemy | test/sql/test_delete.py | {
"start": 7270,
"end": 12212
} | class ____(fixtures.TablesTest):
__sparse_driver_backend__ = True
@classmethod
def define_tables(cls, metadata):
Table(
"mytable",
metadata,
Column("myid", Integer),
Column("name", String(30)),
Column("description", String(50)),
)
... | DeleteFromRoundTripTest |
python | pytorch__pytorch | test/inductor/test_device_assert.py | {
"start": 539,
"end": 3298
} | class ____(TestCase):
@parametrize("backend", ["eager", "aot_eager", "inductor"])
def test_assert_should_throw(self, backend):
def func():
a = torch.tensor([1.0, -2.0], device="cpu")
result = torch.all(a > 0)
assert result, "should throw"
def func_inline():
... | TestTorchDeviceAssertTrigger |
python | matplotlib__matplotlib | lib/matplotlib/collections.py | {
"start": 49974,
"end": 53163
} | class ____(_CollectionWithSizes):
def __init__(self, verts, sizes=None, *, closed=True, **kwargs):
"""
Parameters
----------
verts : list of array-like
The sequence of polygons [*verts0*, *verts1*, ...] where each
element *verts_i* defines the vertices of pol... | PolyCollection |
python | getsentry__sentry | src/sentry/monitors/processing_errors/manager.py | {
"start": 937,
"end": 8238
} | class ____(Exception):
pass
def _get_cluster() -> RedisCluster | StrictRedis[str]:
return redis.redis_clusters.get(settings.SENTRY_MONITORS_REDIS_CLUSTER)
def build_set_identifier(entity_identifier: str) -> str:
return f"monitors.processing_errors_set.{entity_identifier}"
def build_error_identifier(uu... | InvalidProjectError |
python | dagster-io__dagster | python_modules/libraries/dagster-fivetran/dagster_fivetran/components/workspace_component/component.py | {
"start": 1283,
"end": 1665
} | class ____(pydantic.BaseModel):
account_id: str = pydantic.Field(..., description="The Fivetran account ID.")
api_key: str = pydantic.Field(
..., description="API key used to authenticate to a Fivetran instance."
)
api_secret: str = pydantic.Field(
..., description="API secret used to au... | FivetranWorkspaceModel |
python | numpy__numpy | numpy/_core/tests/test_scalarmath.py | {
"start": 11393,
"end": 16075
} | class ____:
def test_modulus_basic(self):
dt = np.typecodes['AllInteger'] + np.typecodes['Float']
for op in [floordiv_and_mod, divmod]:
for dt1, dt2 in itertools.product(dt, dt):
for sg1, sg2 in itertools.product(_signs(dt1), _signs(dt2)):
fmt = 'op: ... | TestModulus |
python | allegroai__clearml | clearml/backend_api/services/v2_9/events.py | {
"start": 33034,
"end": 33267
} | class ____(Response):
"""
Response of events.add endpoint.
"""
_service = "events"
_action = "add"
_version = "2.9"
_schema = {"additionalProperties": True, "definitions": {}, "type": "object"}
| AddResponse |
python | getsentry__sentry | tests/snuba/api/serializers/test_group_stream.py | {
"start": 637,
"end": 10792
} | class ____(APITestCase, BaseMetricsTestCase):
def test_environment(self) -> None:
group = self.group
organization_id = group.project.organization_id
environment = Environment.get_or_create(group.project, "production")
with mock.patch(
"sentry.api.serializers.models.grou... | StreamGroupSerializerTestCase |
python | celery__celery | celery/canvas.py | {
"start": 54542,
"end": 55391
} | class ____(Signature):
_task_name = None
_unpack_args = itemgetter('task', 'it')
@classmethod
def from_dict(cls, d, app=None):
return cls(*cls._unpack_args(d['kwargs']), app=app, **d['options'])
def __init__(self, task, it, **options):
super().__init__(self._task_name, (),
... | _basemap |
python | huggingface__transformers | src/transformers/models/decision_transformer/modeling_decision_transformer.py | {
"start": 27887,
"end": 35871
} | class ____(DecisionTransformerPreTrainedModel):
"""
The model builds upon the GPT2 architecture to perform autoregressive prediction of actions in an offline RL
setting. Refer to the paper for more details: https://huggingface.co/papers/2106.01345
"""
def __init__(self, config):
super()._... | DecisionTransformerModel |
python | openai__openai-python | src/openai/types/beta/realtime/conversation_item_deleted_event.py | {
"start": 206,
"end": 492
} | class ____(BaseModel):
event_id: str
"""The unique ID of the server event."""
item_id: str
"""The ID of the item that was deleted."""
type: Literal["conversation.item.deleted"]
"""The event type, must be `conversation.item.deleted`."""
| ConversationItemDeletedEvent |
python | ray-project__ray | python/ray/llm/_internal/batch/stages/configs.py | {
"start": 1717,
"end": 3853
} | class ____(_StageConfigBase):
pass
def resolve_stage_config(
stage_cfg_value: Union[bool, Dict[str, Any], _StageConfigBase],
stage_config_cls: Type[T],
processor_defaults: Optional[Dict[str, Any]] = None,
) -> T:
"""Resolve a stage config value (bool | dict | StageConfig) into a typed StageConfig.... | PrepareImageStageConfig |
python | pytorch__pytorch | torch/_logging/_internal.py | {
"start": 44249,
"end": 51950
} | class ____(Generic[_P]):
def __init__(
self, func: Callable[_P, str], *args: _P.args, **kwargs: _P.kwargs
) -> None:
self.func = func
self.args = args
self.kwargs = kwargs
def __str__(self) -> str:
return self.func(*self.args, **self.kwargs)
# Logs the time it take... | LazyString |
python | huggingface__transformers | src/transformers/models/cpm/tokenization_cpm.py | {
"start": 1084,
"end": 13862
} | class ____(PreTrainedTokenizer):
"""Runs pre-tokenization with Jieba-RS segmentation tool. It is used in CPM models."""
vocab_files_names = VOCAB_FILES_NAMES
def __init__(
self,
vocab_file,
do_lower_case=False,
remove_space=True,
keep_accents=False,
bos_toke... | CpmTokenizer |
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