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 | python-jsonschema__jsonschema | jsonschema/tests/_suite.py | {
"start": 5752,
"end": 8374
} | class ____:
version: Version
subject: str
case_description: str
description: str
data: Any
schema: Mapping[str, Any] | bool
valid: bool
_remotes: referencing.jsonschema.SchemaRegistry
comment: str | None = None
def __repr__(self): # pragma: no cover
return f"<Test... | _Test |
python | ApeWorX__ape | src/ape/exceptions.py | {
"start": 11489,
"end": 12270
} | class ____(NetworkError):
"""
Raised when the ecosystem with the given name was not found.
"""
def __init__(self, ecosystem: str, options: Optional[Collection[str]] = None):
self.ecosystem = ecosystem
self.options = options
message = f"No ecosystem named '{ecosystem}'."
... | EcosystemNotFoundError |
python | spyder-ide__spyder | spyder/plugins/editor/panels/classfunctiondropdown.py | {
"start": 662,
"end": 8287
} | class ____(Panel):
"""
Class and Function/Method Dropdowns Widget.
Parameters
----------
editor : :class:`spyder.plugins.editor.widgets.codeeditor.CodeEditor`
The editor to act on.
"""
def __init__(self):
super().__init__()
# Internal data
self._tree = Inte... | ClassFunctionDropdown |
python | h5py__h5py | h5py/_hl/base.py | {
"start": 13053,
"end": 13826
} | class ____(Mapping):
"""
Wraps a Group, AttributeManager or DimensionManager object to provide
an immutable mapping interface.
We don't inherit directly from MutableMapping because certain
subclasses, for example DimensionManager, are read-only.
"""
def keys(self):
... | MappingHDF5 |
python | django__django | tests/m2m_through/models.py | {
"start": 3386,
"end": 3673
} | class ____(models.Model):
name = models.CharField(max_length=5)
subordinates = models.ManyToManyField(
"self",
through="Relationship",
through_fields=("source", "target"),
symmetrical=False,
)
class Meta:
ordering = ("pk",)
| Employee |
python | openai__gym | gym/envs/mujoco/half_cheetah_v4.py | {
"start": 191,
"end": 13251
} | class ____(MujocoEnv, utils.EzPickle):
"""
### Description
This environment is based on the work by P. Wawrzyński in
["A Cat-Like Robot Real-Time Learning to Run"](http://staff.elka.pw.edu.pl/~pwawrzyn/pub-s/0812_LSCLRR.pdf).
The HalfCheetah is a 2-dimensional robot consisting of 9 links and 8
... | HalfCheetahEnv |
python | pytorch__pytorch | benchmarks/tensorexpr/softmax.py | {
"start": 48,
"end": 1370
} | class ____(benchmark.Benchmark):
def __init__(self, mode, device, dtype, M, N):
super().__init__(mode, device, dtype)
self.M = M
self.N = N
self.dtype = dtype
self.inputs = [
self.randn(
[M, N], device=device, dtype=dtype, requires_grad=self.requir... | SoftmaxBench |
python | pypa__packaging | src/packaging/version.py | {
"start": 4763,
"end": 12622
} | class ____(_BaseVersion):
"""This class abstracts handling of a project's versions.
A :class:`Version` instance is comparison aware and can be compared and
sorted using the standard Python interfaces.
>>> v1 = Version("1.0a5")
>>> v2 = Version("1.0")
>>> v1
<Version('1.0a5')>
>>> v2
... | Version |
python | openai__gym | gym/envs/box2d/bipedal_walker.py | {
"start": 2418,
"end": 27451
} | class ____(gym.Env, EzPickle):
"""
### Description
This is a simple 4-joint walker robot environment.
There are two versions:
- Normal, with slightly uneven terrain.
- Hardcore, with ladders, stumps, pitfalls.
To solve the normal version, you need to get 300 points in 1600 time steps.
T... | BipedalWalker |
python | getsentry__sentry | src/sentry/analytics/events/eventuser_snuba_query.py | {
"start": 78,
"end": 306
} | class ____(analytics.Event):
project_ids: list[int]
query: str
query_try: int
count_rows_returned: int
count_rows_filtered: int
query_time_ms: int
analytics.register(EventUserSnubaQuery)
| EventUserSnubaQuery |
python | tiangolo__fastapi | fastapi/dependencies/models.py | {
"start": 638,
"end": 3004
} | class ____:
path_params: List[ModelField] = field(default_factory=list)
query_params: List[ModelField] = field(default_factory=list)
header_params: List[ModelField] = field(default_factory=list)
cookie_params: List[ModelField] = field(default_factory=list)
body_params: List[ModelField] = field(defau... | Dependant |
python | huggingface__transformers | src/transformers/models/eomt/modular_eomt.py | {
"start": 17852,
"end": 25509
} | class ____(Mask2FormerForUniversalSegmentation):
def __init__(self, config: EomtConfig):
PreTrainedModel.__init__(self, config)
self.config = config
self.num_hidden_layers = config.num_hidden_layers
self.embeddings = EomtEmbeddings(config)
self.layernorm = nn.LayerNorm(config... | EomtForUniversalSegmentation |
python | getsentry__sentry | tests/sentry/event_manager/grouping/test_seer_grouping.py | {
"start": 1469,
"end": 7396
} | class ____(TestCase):
"""Test whether Seer is called during ingest and if so, how the results are used"""
def test_obeys_seer_similarity_flags(self) -> None:
existing_event = save_new_event({"message": "Dogs are great!"}, self.project)
assert existing_event.group_id
seer_result_data = S... | SeerEventManagerGroupingTest |
python | pypa__pip | src/pip/_internal/utils/logging.py | {
"start": 7377,
"end": 12108
} | class ____(Filter):
"""
A logging Filter that excludes records from a logger (or its children).
"""
def filter(self, record: logging.LogRecord) -> bool:
# The base Filter class allows only records from a logger (or its
# children).
return not super().filter(record)
def setup_l... | ExcludeLoggerFilter |
python | tensorflow__tensorflow | tensorflow/python/keras/saving/utils_v1/export_output.py | {
"start": 13287,
"end": 13656
} | class ____(_SupervisedOutput):
"""Represents the output of a supervised training process.
This class generates the appropriate signature def for exporting
training output by type-checking and wrapping loss, predictions, and metrics
values.
"""
def _get_signature_def_fn(self):
return unexported_signatu... | TrainOutput |
python | sqlalchemy__sqlalchemy | lib/sqlalchemy/orm/evaluator.py | {
"start": 943,
"end": 1108
} | class ____(operators.ColumnOperators):
def operate(self, *arg, **kw):
return None
def reverse_operate(self, *arg, **kw):
return None
| _NoObject |
python | jmcnamara__XlsxWriter | xlsxwriter/test/comparison/test_chartsheet04.py | {
"start": 315,
"end": 1428
} | class ____(ExcelComparisonTest):
"""
Test file created by XlsxWriter against a file created by Excel.
"""
def setUp(self):
self.set_filename("chartsheet04.xlsx")
def test_create_file(self):
"""Test the worksheet properties of an XlsxWriter chartsheet file."""
workbook = W... | TestCompareXLSXFiles |
python | pytorch__pytorch | torchgen/model.py | {
"start": 103577,
"end": 106289
} | class ____:
name: BaseOperatorName
overload_name: str
@staticmethod
def parse(op_name: str) -> OperatorName:
if "." in op_name:
name, overload_name = op_name.split(".", 1)
else:
name = op_name
overload_name = ""
r = OperatorName(name=BaseOpera... | OperatorName |
python | pytorch__pytorch | torch/_functorch/fx_minifier.py | {
"start": 450,
"end": 564
} | class ____:
size: list[int]
stride: list[int]
dtype: torch.dtype
device: torch.device
| LoadTensorMeta |
python | matplotlib__matplotlib | lib/matplotlib/cbook.py | {
"start": 20652,
"end": 25597
} | class ____:
"""
Stack of elements with a movable cursor.
Mimics home/back/forward in a web browser.
"""
def __init__(self):
self._pos = -1
self._elements = []
def clear(self):
"""Empty the stack."""
self._pos = -1
self._elements = []
def __call__(s... | _Stack |
python | django__django | django/contrib/postgres/aggregates/statistics.py | {
"start": 1339,
"end": 1397
} | class ____(StatAggregate):
function = "REGR_SXX"
| RegrSXX |
python | astropy__astropy | astropy/modeling/tests/test_parameters.py | {
"start": 26638,
"end": 28226
} | class ____:
def setup_class(self):
self.x1 = np.arange(1, 10, 0.1)
self.y, self.x = np.mgrid[:10, :7]
self.x11 = np.array([self.x1, self.x1]).T
self.gmodel = models.Gaussian1D(
[12, 10], [3.5, 5.2], stddev=[0.4, 0.7], n_models=2
)
def test_change_par(self):
... | TestMultipleParameterSets |
python | tensorflow__tensorflow | tensorflow/python/ops/numpy_ops/np_utils.py | {
"start": 7582,
"end": 7641
} | class ____:
def __init__(self, v):
self.value = v
| Link |
python | ansible__ansible | lib/ansible/_internal/_templating/_lazy_containers.py | {
"start": 15778,
"end": 22616
} | class ____(_AnsibleTaggedList, _AnsibleLazyTemplateMixin):
__slots__ = _AnsibleLazyTemplateMixin._SLOTS
def __init__(self, contents: t.Iterable | _LazyValueSource, /) -> None:
if isinstance(contents, _AnsibleLazyTemplateList):
super().__init__(list.__iter__(contents))
elif isinstanc... | _AnsibleLazyTemplateList |
python | pytorch__pytorch | torch/_export/db/examples/nested_function.py | {
"start": 41,
"end": 491
} | class ____(torch.nn.Module):
"""
Nested functions are traced through. Side effects on global captures
are not supported though.
"""
def forward(self, a, b):
x = a + b
z = a - b
def closure(y):
nonlocal x
x += 1
return x * y + z
r... | NestedFunction |
python | google__pytype | pytype/pyi/types.py | {
"start": 2008,
"end": 2093
} | class ____: # pylint: disable=redefined-builtin
pass
@dataclasses.dataclass
| Ellipsis |
python | huggingface__transformers | src/transformers/models/segformer/image_processing_segformer.py | {
"start": 2091,
"end": 22482
} | class ____(BaseImageProcessor):
r"""
Constructs a Segformer image processor.
Args:
do_resize (`bool`, *optional*, defaults to `True`):
Whether to resize the image's (height, width) dimensions to the specified `(size["height"],
size["width"])`. Can be overridden by the `do_re... | SegformerImageProcessor |
python | openai__openai-python | src/openai/types/beta/thread.py | {
"start": 633,
"end": 936
} | class ____(BaseModel):
vector_store_ids: Optional[List[str]] = None
"""
The
[vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
attached to this thread. There can be a maximum of 1 vector store attached to
the thread.
"""
| ToolResourcesFileSearch |
python | mlflow__mlflow | mlflow/utils/search_utils.py | {
"start": 40943,
"end": 47357
} | class ____(SearchUtils):
VALID_SEARCH_ATTRIBUTE_KEYS = {"name", "creation_time", "last_update_time"}
VALID_ORDER_BY_ATTRIBUTE_KEYS = {"name", "experiment_id", "creation_time", "last_update_time"}
NUMERIC_ATTRIBUTES = {"creation_time", "last_update_time"}
@classmethod
def _invalid_statement_token_se... | SearchExperimentsUtils |
python | openai__gym | gym/wrappers/time_limit.py | {
"start": 103,
"end": 2526
} | class ____(gym.Wrapper):
"""This wrapper will issue a `truncated` signal if a maximum number of timesteps is exceeded.
If a truncation is not defined inside the environment itself, this is the only place that the truncation signal is issued.
Critically, this is different from the `terminated` signal that o... | TimeLimit |
python | langchain-ai__langchain | libs/partners/huggingface/langchain_huggingface/embeddings/huggingface.py | {
"start": 353,
"end": 6439
} | class ____(BaseModel, Embeddings):
"""HuggingFace sentence_transformers embedding models.
To use, you should have the `sentence_transformers` python package installed.
Example:
```python
from langchain_huggingface import HuggingFaceEmbeddings
model_name = "sentence-transformers/al... | HuggingFaceEmbeddings |
python | ray-project__ray | python/ray/serve/_private/common.py | {
"start": 29765,
"end": 30363
} | class ____:
bundles: List[Dict[str, float]]
strategy: str
target_node_id: str
name: str
runtime_env: Optional[str] = None
# This error is used to raise when a by-value DeploymentResponse is converted to an
# ObjectRef.
OBJ_REF_NOT_SUPPORTED_ERROR = RuntimeError(
"Converting by-value Deployment... | CreatePlacementGroupRequest |
python | falconry__falcon | tests/test_utils.py | {
"start": 48021,
"end": 52225
} | class ____:
class CustomContextType(structures.Context):
def __init__(self):
pass
@pytest.mark.parametrize(
'context_type',
[
CustomContextType,
structures.Context,
],
)
def test_attributes(self, context_type):
ctx = context_ty... | TestContextType |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-github/source_github/github_schema.py | {
"start": 835988,
"end": 836384
} | class ____(sgqlc.types.Type):
"""An edge in a connection."""
__schema__ = github_schema
__field_names__ = ("cursor", "node")
cursor = sgqlc.types.Field(sgqlc.types.non_null(String), graphql_name="cursor")
"""A cursor for use in pagination."""
node = sgqlc.types.Field("PinnedDiscussion", graphq... | PinnedDiscussionEdge |
python | microsoft__pyright | packages/pyright-internal/src/tests/samples/typeNarrowingIsinstance1.py | {
"start": 287,
"end": 399
} | class ____:
class_var1: int
def __init__(self) -> None:
self.property: None = None
| UnrelatedClass |
python | django__django | django/db/models/query.py | {
"start": 83900,
"end": 84052
} | class ____(type):
def __instancecheck__(self, instance):
return isinstance(instance, QuerySet) and instance.query.is_empty()
| InstanceCheckMeta |
python | sqlalchemy__sqlalchemy | examples/versioned_history/test_versioning.py | {
"start": 29901,
"end": 30038
} | class ____(TestVersioningNewBase, unittest.TestCase):
pass
if __name__ == "__main__":
unittest.main()
| TestVersioningNewBaseUnittest |
python | pytorch__pytorch | torch/distributed/fsdp/api.py | {
"start": 18826,
"end": 18975
} | class ____:
state_dict_type: StateDictType
state_dict_config: StateDictConfig
optim_state_dict_config: OptimStateDictConfig
| StateDictSettings |
python | kamyu104__LeetCode-Solutions | Python/closest-binary-search-tree-value-ii.py | {
"start": 33,
"end": 1916
} | class ____(object):
def closestKValues(self, root, target, k):
"""
:type root: TreeNode
:type target: float
:type k: int
:rtype: List[int]
"""
# Helper to make a stack to the next node.
def nextNode(stack, child1, child2):
if stack:
... | Solution |
python | django__django | tests/mail/custombackend.py | {
"start": 448,
"end": 606
} | class ____(BaseEmailBackend):
def send_messages(self, email_messages):
raise ValueError("FailingEmailBackend is doomed to fail.")
| FailingEmailBackend |
python | modin-project__modin | asv_bench/benchmarks/benchmarks.py | {
"start": 36069,
"end": 36325
} | class ____(BaseCategories):
params = [get_benchmark_shapes("TimeRemoveCategories")]
param_names = ["shape"]
def time_remove_categories(self, shape):
execute(self.ts.cat.remove_categories(self.ts.cat.categories[::2]))
| TimeRemoveCategories |
python | pytorch__pytorch | test/jit/test_ignorable_args.py | {
"start": 481,
"end": 2334
} | class ____(JitTestCase):
def test_slice_ignorable_args_for_slice(self):
graph_str = """graph():
%13 : int = prim::Constant[value=0]()
%10 : bool = prim::Constant[value=0]()
%8 : NoneType = prim::Constant()
%0 : int = prim::Constant[value=1]()
%1 : ... | TestIgnorableArgs |
python | dagster-io__dagster | python_modules/dagster-graphql/dagster_graphql/schema/logs/events.py | {
"start": 14369,
"end": 15560
} | class ____(graphene.ObjectType, AssetEventMixin):
class Meta:
interfaces = (GrapheneMessageEvent, GrapheneStepEvent, GrapheneDisplayableEvent)
name = "FailedToMaterializeEvent"
materializationFailureReason = graphene.NonNull(GrapheneAssetMaterializationFailureReason)
materializationFailureT... | GrapheneFailedToMaterializeEvent |
python | huggingface__transformers | src/transformers/models/timesfm/modeling_timesfm.py | {
"start": 4410,
"end": 5137
} | class ____(nn.Module):
def __init__(self, hidden_size, eps=1e-6):
"""
TimesFmRMSNorm is equivalent to T5LayerNorm
"""
super().__init__()
self.weight = nn.Parameter(torch.ones(hidden_size))
self.variance_epsilon = eps
def forward(self, hidden_states):
inpu... | TimesFmRMSNorm |
python | spulec__freezegun | tests/test_datetimes.py | {
"start": 609,
"end": 9668
} | class ____:
"""Temporarily change the locale."""
def __init__(self, *targets: str):
self.targets = targets
def __enter__(self) -> None:
self.old = locale.setlocale(locale.LC_ALL)
for target in self.targets:
try:
locale.setlocale(locale.LC_ALL, target)
... | temp_locale |
python | huggingface__transformers | tests/models/mgp_str/test_modeling_mgp_str.py | {
"start": 7915,
"end": 8994
} | class ____(unittest.TestCase):
@slow
def test_inference(self):
model_name = "alibaba-damo/mgp-str-base"
model = MgpstrForSceneTextRecognition.from_pretrained(model_name).to(torch_device)
processor = MgpstrProcessor.from_pretrained(model_name)
image = prepare_img()
inputs... | MgpstrModelIntegrationTest |
python | realpython__materials | top-python-game-engines/arcade/arcade_basic.py | {
"start": 458,
"end": 2125
} | class ____(arcade.Window):
"""Main game window"""
def __init__(self, width: int, height: int, title: str):
"""Initialize the window to a specific size
Arguments:
width {int} -- Width of the window
height {int} -- Height of the window
title {str} -- Title for... | ArcadeBasic |
python | has2k1__plotnine | plotnine/themes/themeable.py | {
"start": 59479,
"end": 59648
} | class ____(themeable):
"""
Legend key background height
Parameters
----------
theme_element : float
Value in points.
"""
| legend_key_height |
python | pydata__xarray | xarray/core/treenode.py | {
"start": 461,
"end": 604
} | class ____(ValueError):
"""Raised when operation can't be completed because one node is not part of the expected tree."""
| NotFoundInTreeError |
python | pytorch__pytorch | torch/testing/_internal/common_quantization.py | {
"start": 77197,
"end": 77682
} | class ____(torch.nn.Module):
def __init__(self) -> None:
super().__init__()
self.sub1 = LinearReluModel()
self.sub2 = QuantWrapper(TwoLayerLinearModel())
self.fc3 = QuantWrapper(torch.nn.Linear(5, 5).to(dtype=torch.float))
self.fc3.qconfig = default_qconfig
self.sub2.... | AnnotatedSubNestedModel |
python | pytorch__pytorch | test/inductor/test_memory_planning.py | {
"start": 1008,
"end": 6206
} | class ____(TestCase):
device = GPU_TYPE
def _generate(self, *, device):
"""
Generate a simple test case that has multiple simultaneously-live intermediate tensors.
"""
class Foo(torch.nn.Module):
def forward(self, x, y, z):
t0 = x.matmul(y)
... | TestMemoryPlanning |
python | walkccc__LeetCode | solutions/1619. Mean of Array After Removing Some Elements/1619.py | {
"start": 0,
"end": 143
} | class ____:
def trimMean(self, arr: list[int]) -> float:
arr.sort()
offset = len(arr) // 20
return mean(arr[offset:-offset])
| Solution |
python | pytorch__pytorch | test/distributed/test_local_tensor.py | {
"start": 2308,
"end": 10098
} | class ____(LocalTensorTestBase):
world_size = 2
def test_local_tensor_dtype_consistency(self):
"""Test that LocalTensor enforces dtype consistency."""
device = torch.device("cpu")
shape = (2, 3)
inconsistent_tensors = {
0: torch.randn(shape, dtype=torch.float32, dev... | TestLocalTensorWorld2 |
python | dask__dask | dask/tests/test_delayed.py | {
"start": 3093,
"end": 25834
} | class ____:
a: int
@pytest.mark.parametrize("cls", (ANonFrozenDataClass, AFrozenDataClass))
def test_delayed_with_dataclass(cls):
literal = delayed(3)
with_class = delayed({"data": cls(a=literal)})
def return_nested(obj):
return obj["data"].a
final = delayed(return_nested)(with_class)
... | AFrozenDataClass |
python | PyCQA__pylint | tests/functional/ext/no_self_use/no_self_use.py | {
"start": 2923,
"end": 3110
} | class ____:
"""Don't emit no-self-use for overload methods."""
@overload
def a(self, var): ...
@overload
def a(self, var): ...
def a(self, var):
pass
| Foo3 |
python | pydantic__pydantic | tests/mypy/outputs/mypy-plugin-strict_ini/plugin_fail.py | {
"start": 2183,
"end": 2326
} | class ____(BaseModel, from_attributes={}):
# MYPY: error: Invalid value for "Config.from_attributes" [pydantic-config]
pass
| KwargsBadConfig1 |
python | fsspec__filesystem_spec | fsspec/implementations/local.py | {
"start": 12584,
"end": 16936
} | class ____(io.IOBase):
def __init__(
self, path, mode, autocommit=True, fs=None, compression=None, **kwargs
):
logger.debug("open file: %s", path)
self.path = path
self.mode = mode
self.fs = fs
self.f = None
self.autocommit = autocommit
self.compre... | LocalFileOpener |
python | networkx__networkx | networkx/algorithms/isomorphism/ismags.py | {
"start": 10241,
"end": 11513
} | class ____:
"""Class to handle getitem for undirected edges.
Note that ``items()`` iterates over one of the two representations of the edge
(u, v) and (v, u). So this technically doesn't violate the Mapping
invariant that (k,v) pairs reported by ``items()`` satisfy ``.__getitem__(k) == v``.
But we ... | EdgeLookup |
python | kamyu104__LeetCode-Solutions | Python/subarrays-with-k-different-integers.py | {
"start": 1080,
"end": 1669
} | class ____(object):
def subarraysWithKDistinct(self, A, K):
"""
:type A: List[int]
:type K: int
:rtype: int
"""
window1, window2 = Window(), Window()
result, left1, left2 = 0, 0, 0
for i in A:
window1.add(i)
while window1.size()... | Solution2 |
python | run-llama__llama_index | llama-index-integrations/llms/llama-index-llms-openai/tests/test_openai_responses.py | {
"start": 24862,
"end": 26444
} | class ____(OpenAIResponses):
def __init__(self):
pass
def test__parse_response_output(response_output: List[ResponseOutputItem]):
result = OpenAIResponsesMock()._parse_response_output(output=response_output)
assert (
len(
[
block
for block in res... | OpenAIResponsesMock |
python | aimacode__aima-python | csp.py | {
"start": 49880,
"end": 55386
} | class ____(NaryCSP):
def __init__(self, puzzle):
variables = []
for i, line in enumerate(puzzle):
# print line
for j, element in enumerate(line):
if element == '_':
var1 = str(i)
if len(var1) == 1:
... | Kakuro |
python | jina-ai__jina | tests/unit/orchestrate/flow/flow-construct/test_flow_except.py | {
"start": 4189,
"end": 4868
} | class ____(Executor):
@requests
def craft(self, *args, **kwargs):
raise NotImplementedError
@pytest.mark.parametrize('protocol', ['websocket', 'grpc', 'http'])
def test_flow_on_error_callback(protocol):
f = Flow(protocol=protocol).add(uses=DummyCrafterNotImplemented)
hit = []
def f1(*args... | DummyCrafterNotImplemented |
python | rq__rq | rq/worker.py | {
"start": 65525,
"end": 71443
} | class ____(BaseWorker):
def kill_horse(self, sig: signal.Signals = SHUTDOWN_SIGNAL):
"""Kill the horse but catch "No such process" error has the horse could already be dead.
Args:
sig (signal.Signals, optional): _description_. Defaults to SIGKILL.
"""
try:
os... | Worker |
python | apache__airflow | helm-tests/tests/helm_tests/apiserver/test_apiserver.py | {
"start": 3094,
"end": 3622
} | class ____:
"""Tests API Server JWT secret."""
def test_should_add_annotations_to_jwt_secret(self):
docs = render_chart(
values={
"jwtSecretAnnotations": {"test_annotation": "test_annotation_value"},
},
show_only=["templates/secrets/jwt-secret.yaml"],... | TestAPIServerJWTSecret |
python | walkccc__LeetCode | solutions/3530. Maximum Profit from Valid Topological Order in DAG/3530.py | {
"start": 0,
"end": 1040
} | class ____:
def maxProfit(self, n: int, edges: list[list[int]], score: list[int]) -> int:
# need[i] := the bitmask representing all nodes that must be placed before
# node i
need = [0] * n
# dp[mask] := the maximum profit achievable by placing the set of nodes
# represented by `mask`
dp = [-1]... | Solution |
python | facebookresearch__faiss | tests/test_rabitq.py | {
"start": 51130,
"end": 53715
} | class ____(unittest.TestCase):
"""Test construction and parameter validation for multi-bit RaBitQ."""
def test_valid_nb_bits_range(self):
"""Test that nb_bits 1-9 are valid."""
d = 128
for nb_bits in range(1, 10):
for metric in [faiss.METRIC_L2, faiss.METRIC_INNER_PRODUCT]:
... | TestMultiBitRaBitQConstruction |
python | huggingface__transformers | tests/models/mobilebert/test_modeling_mobilebert.py | {
"start": 14686,
"end": 17682
} | class ____(unittest.TestCase):
@slow
def test_inference_no_head(self):
model = MobileBertModel.from_pretrained("google/mobilebert-uncased", attn_implementation="eager").to(
torch_device
)
input_ids = _long_tensor([[101, 7110, 1005, 1056, 2023, 11333, 17413, 1029, 102]])
... | MobileBertModelIntegrationTests |
python | kubernetes-client__python | kubernetes/client/models/v1_status.py | {
"start": 383,
"end": 10061
} | class ____(object):
"""NOTE: This class is auto generated by OpenAPI Generator.
Ref: https://openapi-generator.tech
Do not edit the class manually.
"""
"""
Attributes:
openapi_types (dict): The key is attribute name
and the value is attribute type.
attri... | V1Status |
python | getsentry__sentry | src/sentry/issues/escalating/escalating_issues_alg.py | {
"start": 221,
"end": 354
} | class ____(TypedDict):
intervals: list[str]
data: list[int]
# standard values if no parameters are passed
@dataclass
| GroupCount |
python | charliermarsh__ruff | crates/ruff_linter/resources/test/fixtures/pyupgrade/UP040.py | {
"start": 695,
"end": 3214
} | class ____:
# reference to global variable
x: typing.TypeAlias = list[T]
# reference to class variable
TCLS = typing.TypeVar["TCLS"]
y: typing.TypeAlias = list[TCLS]
# UP040 won't add generics in fix
T = typing.TypeVar(*args)
x: typing.TypeAlias = list[T]
# `default` was added in Python 3.13
T = ... | Foo |
python | mkdocs__mkdocs | mkdocs/contrib/search/__init__.py | {
"start": 1892,
"end": 2209
} | class ____(base.Config):
lang = c.Optional(LangOption())
separator = c.Type(str, default=r'[\s\-]+')
min_search_length = c.Type(int, default=3)
prebuild_index = c.Choice((False, True, 'node', 'python'), default=False)
indexing = c.Choice(('full', 'sections', 'titles'), default='full')
| _PluginConfig |
python | cython__cython | Cython/Compiler/Optimize.py | {
"start": 87346,
"end": 184440
} | class ____(Visitor.NodeRefCleanupMixin,
Visitor.MethodDispatcherTransform):
"""Optimize some common methods calls and instantiation patterns
for builtin types *after* the type analysis phase.
Running after type analysis, this transform can only perform
function replacements t... | OptimizeBuiltinCalls |
python | huggingface__transformers | src/transformers/utils/auto_docstring.py | {
"start": 29657,
"end": 32887
} | class ____:
PreTrainedModel = r"""
This model inherits from [`PreTrainedModel`]. Check the superclass documentation for the generic methods the
library implements for all its model (such as downloading or saving, resizing the input embeddings, pruning heads
etc.)
This model is also a PyTorch [torch... | ClassDocstring |
python | spyder-ide__spyder | external-deps/spyder-kernels/spyder_kernels/customize/spyderpdb.py | {
"start": 1025,
"end": 1686
} | class ____:
"""
Notifies the frontend when debugging starts/stops
"""
def __init__(self, pdb_obj):
self.pdb_obj = pdb_obj
self._cleanup = True
def __enter__(self):
"""
Debugging starts.
"""
shell = self.pdb_obj.shell
if shell.pdb_session == se... | DebugWrapper |
python | PrefectHQ__prefect | src/prefect/task_runners.py | {
"start": 18853,
"end": 20045
} | class ____(concurrent.futures.Future[R]):
"""Wrapper for a Future that unpickles the result returned by cloudpickle_wrapped_call."""
def __init__(self, wrapped_future: concurrent.futures.Future[bytes]):
self.wrapped_future = wrapped_future
def result(self, timeout: float | None = None) -> R:
... | _UnpicklingFuture |
python | sphinx-doc__sphinx | tests/roots/test-ext-viewcode-find-package/main_package/subpackage/_subpackage2/submodule.py | {
"start": 233,
"end": 342
} | class ____:
"""this is Class3"""
class_attr = 42
"""this is the class attribute class_attr"""
| Class3 |
python | django-haystack__django-haystack | test_haystack/whoosh_tests/test_whoosh_backend.py | {
"start": 28390,
"end": 30094
} | class ____(WhooshTestCase):
def setUp(self):
super().setUp()
self.old_ui = connections["whoosh"].get_unified_index()
self.ui = UnifiedIndex()
self.wmmi = WhooshBoostMockSearchIndex()
self.ui.build(indexes=[self.wmmi])
self.sb = connections["whoosh"].get_backend()
... | WhooshBoostBackendTestCase |
python | sympy__sympy | sympy/matrices/common.py | {
"start": 2030,
"end": 4130
} | class ____(type):
#
# Override the default __instancecheck__ implementation to ensure that
# e.g. isinstance(M, MatrixCommon) still works when M is one of the
# matrix classes. Matrix no longer inherits from MatrixCommon so
# isinstance(M, MatrixCommon) would now return False by default.
#
... | _MatrixDeprecatedMeta |
python | pytorch__pytorch | torch/ao/quantization/fx/quantize_handler.py | {
"start": 6075,
"end": 6134
} | class ____(QuantizeHandler):
pass
| BinaryOpQuantizeHandler |
python | openai__gym | gym/wrappers/normalize.py | {
"start": 3728,
"end": 5712
} | class ____(gym.core.Wrapper):
r"""This wrapper will normalize immediate rewards s.t. their exponential moving average has a fixed variance.
The exponential moving average will have variance :math:`(1 - \gamma)^2`.
Note:
The scaling depends on past trajectories and rewards will not be scaled correc... | NormalizeReward |
python | pyqtgraph__pyqtgraph | pyqtgraph/parametertree/ParameterSystem.py | {
"start": 162,
"end": 4308
} | class ____(GroupParameter):
"""
ParameterSystem is a subclass of GroupParameter that manages a tree of
sub-parameters with a set of interdependencies--changing any one parameter
may affect other parameters in the system.
See parametertree/SystemSolver for more information.
NOTE: This ... | ParameterSystem |
python | django__django | tests/forms_tests/tests/tests.py | {
"start": 732,
"end": 906
} | class ____(ModelForm):
multi_choice = CharField(max_length=50)
class Meta:
exclude = ["multi_choice"]
model = ChoiceFieldModel
| ChoiceFieldExclusionForm |
python | FactoryBoy__factory_boy | factory/base.py | {
"start": 4127,
"end": 13605
} | class ____:
def __init__(self):
self.factory = None
self.base_factory = None
self.base_declarations = {}
self.parameters = {}
self.parameters_dependencies = {}
self.pre_declarations = builder.DeclarationSet()
self.post_declarations = builder.DeclarationSet()
... | FactoryOptions |
python | getsentry__sentry | src/sentry/utils/math.py | {
"start": 872,
"end": 1226
} | class ____(MovingAverage):
def __init__(self, weight: float):
super().__init__()
assert 0 < weight and weight < 1
self.weight = weight
def update(self, n: int, avg: float, value: float) -> float:
if n == 0:
return value
return value * self.weight + avg * (1 -... | ExponentialMovingAverage |
python | ray-project__ray | python/ray/_private/ray_logging/__init__.py | {
"start": 7148,
"end": 7791
} | class ____:
# Timestamp of the earliest log message seen of this pattern.
timestamp: int
# The number of un-printed occurrances for this pattern.
count: int
# Latest instance of this log pattern.
line: int
# Latest metadata dict for this log pattern, not including the lines field.
met... | DedupState |
python | run-llama__llama_index | llama-index-integrations/readers/llama-index-readers-microsoft-sharepoint/llama_index/readers/microsoft_sharepoint/base.py | {
"start": 541,
"end": 32622
} | class ____(BasePydanticReader, ResourcesReaderMixin, FileSystemReaderMixin):
"""
SharePoint reader.
Reads folders from the SharePoint site from a folder under documents.
Args:
client_id (str): The Application ID for the app registered in Microsoft Azure Portal.
The application mus... | SharePointReader |
python | miyuchina__mistletoe | docs/__init__.py | {
"start": 968,
"end": 2261
} | class ____(HtmlRenderer):
def render_link(self, token):
return super().render_link(self._replace_link(token))
def render_document(self, token, name="README.md"):
pattern = "<html>{}<body>{}</body></html>"
self.footnotes.update(token.footnotes)
for filename, new_link in getattr(s... | DocRenderer |
python | huggingface__transformers | src/transformers/models/ovis2/configuration_ovis2.py | {
"start": 733,
"end": 4970
} | class ____(PreTrainedConfig):
r"""
This is the configuration class to store the configuration of a [`Ovis2VisionModel`]. It is used to instantiate a
Ovis2VisionModel model according to the specified arguments, defining the model architecture. Instantiating a configuration
with the defaults will yield a ... | Ovis2VisionConfig |
python | getsentry__sentry | src/sentry/web/frontend/auth_close.py | {
"start": 187,
"end": 635
} | class ____(BaseView):
"""This is a view to handle when sentry log in has been opened from
another window. This view loads an html page with a script that sends a message
back to the window opener and closes the window"""
def handle(self, request: HttpRequest) -> HttpResponse:
logged_in = reques... | AuthCloseView |
python | numpy__numpy | numpy/polynomial/tests/test_legendre.py | {
"start": 17114,
"end": 18784
} | class ____:
def test_legfromroots(self):
res = leg.legfromroots([])
assert_almost_equal(trim(res), [1])
for i in range(1, 5):
roots = np.cos(np.linspace(-np.pi, 0, 2 * i + 1)[1::2])
pol = leg.legfromroots(roots)
res = leg.legval(roots, pol)
tg... | TestMisc |
python | django-guardian__django-guardian | guardian/models/models.py | {
"start": 4143,
"end": 4403
} | class ____(UserObjectPermissionBase, BaseGenericObjectPermission):
class Meta(UserObjectPermissionBase.Meta, BaseGenericObjectPermission.Meta):
abstract = True
unique_together = ["user", "permission", "object_pk"]
| UserObjectPermissionAbstract |
python | ipython__ipython | IPython/terminal/pt_inputhooks/gtk4.py | {
"start": 79,
"end": 557
} | class ____:
def __init__(self, context):
self._quit = False
GLib.io_add_watch(
context.fileno(), GLib.PRIORITY_DEFAULT, GLib.IO_IN, self.quit
)
def quit(self, *args, **kwargs):
self._quit = True
return False
def run(self):
context = GLib.MainCont... | _InputHook |
python | ray-project__ray | rllib/callbacks/tests/test_callbacks_on_algorithm.py | {
"start": 1070,
"end": 1356
} | class ____(RLlibCallback):
def on_algorithm_init(self, *, algorithm, metrics_logger, **kwargs):
self._on_init_was_called = True
def on_checkpoint_loaded(self, *, algorithm, **kwargs):
self._on_checkpoint_loaded_was_called = True
| InitAndCheckpointRestoredCallbacks |
python | jmcnamara__XlsxWriter | xlsxwriter/test/comparison/test_quote_name03.py | {
"start": 315,
"end": 1507
} | class ____(ExcelComparisonTest):
"""
Test file created by XlsxWriter against a file created by Excel.
"""
def setUp(self):
self.set_filename("quote_name03.xlsx")
def test_create_file(self):
"""Test the creation of a simple XlsxWriter file."""
workbook = Workbook(self.got_... | TestCompareXLSXFiles |
python | getsentry__sentry | src/sentry/profiles/flamegraph.py | {
"start": 2330,
"end": 28966
} | class ____:
def __init__(
self,
*,
request: HttpRequest,
snuba_params: SnubaParams,
data_source: Literal["functions", "transactions", "profiles", "spans"],
query: str,
fingerprint: int | None = None,
):
self.request = request
self.snuba_par... | FlamegraphExecutor |
python | sqlalchemy__sqlalchemy | lib/sqlalchemy/dialects/oracle/cx_oracle.py | {
"start": 22543,
"end": 22612
} | class ____(_OracleNumericCommon, sqltypes.Float):
pass
| _OracleFloat |
python | qdrant__qdrant-client | qdrant_client/http/api/indexes_api.py | {
"start": 4424,
"end": 5421
} | class ____(_IndexesApi):
def create_field_index(
self,
collection_name: str,
wait: bool = None,
ordering: WriteOrdering = None,
create_field_index: m.CreateFieldIndex = None,
) -> m.InlineResponse2005:
"""
Create index for field in collection
"""
... | SyncIndexesApi |
python | streamlit__streamlit | lib/tests/streamlit/file_util_test.py | {
"start": 4968,
"end": 6820
} | class ____(unittest.TestCase):
def test_file_in_folder(self):
# Test with and without trailing slash
ret = file_util.file_is_in_folder_glob("/a/b/c/foo.py", "/a/b/c/")
assert ret
ret = file_util.file_is_in_folder_glob("/a/b/c/foo.py", "/a/b/c")
assert ret
def test_file_i... | FileIsInFolderTest |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-intercom/unit_tests/config_builder.py | {
"start": 122,
"end": 689
} | class ____:
def __init__(self) -> None:
self._config = {
"access_token": "fake_access_token",
"start_date": "2010-01-18T21:18:20Z",
}
def start_date(self, start_date: datetime) -> "ConfigBuilder":
self._config["start_date"] = start_date.strftime("%Y-%m-%dT%H:%M:%... | ConfigBuilder |
python | astropy__astropy | astropy/io/ascii/ipac.py | {
"start": 525,
"end": 754
} | class ____(Exception):
def __str__(self):
return "{}\nSee {}".format(
super().__str__(),
"https://irsa.ipac.caltech.edu/applications/DDGEN/Doc/DBMSrestriction.html",
)
| IpacFormatErrorDBMS |
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