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 | sympy__sympy | sympy/stats/symbolic_probability.py | {
"start": 15062,
"end": 19536
} | class ____(Expr):
"""
Symbolic expression for the covariance.
Examples
========
>>> from sympy.stats import Covariance
>>> from sympy.stats import Normal
>>> X = Normal("X", 3, 2)
>>> Y = Normal("Y", 0, 1)
>>> Z = Normal("Z", 0, 1)
>>> W = Normal("W", 0, 1)
>>> cexpr = Cova... | Covariance |
python | facelessuser__soupsieve | tests/test_level4/test_attribute.py | {
"start": 96,
"end": 2480
} | class ____(util.TestCase):
"""Test attribute selectors."""
MARKUP = """
<div>
<p type="TEST" id="0" class="somewordshere">Some text <span id="1"> in a paragraph</span>.</p>
<a type="test" id="2" href="http://google.com">Link</a>
<span id="3" class="herewords">Direct child</span>
<pre id="pr... | TestAttribute |
python | ray-project__ray | release/ray_release/tests/test_buildkite.py | {
"start": 1238,
"end": 1649
} | class ____:
return_dict = {}
def __getattribute__(self, item):
return_dict = object.__getattribute__(self, "return_dict")
if item in return_dict:
mocked = return_dict[item]
if isinstance(mocked, Callable):
return mocked()
else:
... | MockReturn |
python | charliermarsh__ruff | crates/ruff_linter/resources/test/fixtures/pyupgrade/UP046_0.py | {
"start": 598,
"end": 800
} | class ____(Generic[T, SupportsRichComparisonT]):
var: T
compare: SupportsRichComparisonT
# typing.AnyStr is a common external type variable, so treat it specially as a
# known TypeVar
| ExternalType |
python | run-llama__llama_index | llama-index-core/tests/agent/workflow/test_code_act_agent.py | {
"start": 684,
"end": 5594
} | class ____:
events: list[Event]
context: Context
def mock_context(workflow: Workflow) -> MockContext:
ctx = Context(workflow)
events = []
def write_event_to_stream(event):
events.append(event)
ctx.write_event_to_stream = write_event_to_stream
return MockContext(events=events, con... | MockContext |
python | python-pillow__Pillow | Tests/test_pyarrow.py | {
"start": 4605,
"end": 8122
} | class ____(NamedTuple):
dtype: pyarrow.DataType
# Strictly speaking, elt should be a pixel or pixel component, so
# list[uint8][4], float, int, uint32, uint8, etc. But more
# correctly, it should be exactly the dtype from the line above.
elt: Any
elts_per_pixel: int
UINT_ARR = DataShape(
... | DataShape |
python | bokeh__bokeh | tests/unit/bokeh/embed/test_util__embed.py | {
"start": 17487,
"end": 20410
} | class ____:
def test_passing_model(self) -> None:
p1 = SomeModel()
d = Document()
d.add_root(p1)
docs_json, render_items = beu.standalone_docs_json_and_render_items([p1])
doc = next(iter(docs_json.values()))
assert doc['title'] == "Bokeh Application"
assert do... | Test_standalone_docs_json_and_render_items |
python | ray-project__ray | python/ray/serve/tests/test_deploy_app_2.py | {
"start": 1402,
"end": 30633
} | class ____:
def get_deploy_config(self, model_within_logging_config: bool = False):
if model_within_logging_config:
path = "ray.serve.tests.test_config_files.logging_config_test.model2"
else:
path = "ray.serve.tests.test_config_files.logging_config_test.model"
return ... | TestDeploywithLoggingConfig |
python | Farama-Foundation__Gymnasium | gymnasium/wrappers/transform_observation.py | {
"start": 19556,
"end": 21959
} | class ____(
TransformObservation[WrapperObsType, ActType, ObsType],
gym.utils.RecordConstructorArgs,
):
"""Modifies the dtype of an observation array to a specified dtype.
Note:
This is only compatible with :class:`Box`, :class:`Discrete`, :class:`MultiDiscrete` and :class:`MultiBinary` observa... | DtypeObservation |
python | davidhalter__parso | parso/python/tree.py | {
"start": 10701,
"end": 12577
} | class ____(Scope):
"""
The top scope, which is always a module.
Depending on the underlying parser this may be a full module or just a part
of a module.
"""
__slots__ = ('_used_names',)
type = 'file_input'
def __init__(self, children):
super().__init__(children)
self._us... | Module |
python | huggingface__transformers | src/transformers/models/blip/modeling_blip_text.py | {
"start": 21720,
"end": 33016
} | class ____(BlipTextPreTrainedModel):
"""
The model can behave as an encoder (with only self-attention) as well as a decoder, in which case a layer of
cross-attention is added between the self-attention layers, following the architecture described in [Attention is
all you need](https://huggingface.co/pap... | BlipTextModel |
python | pytorch__pytorch | torch/utils/_python_dispatch.py | {
"start": 1591,
"end": 14843
} | class ____:
"""
A ``TorchDispatchMode`` allows you to override the meaning of all
``__torch_dispatch__`` overrideable functions within a dynamic scope,
without having to actually create a tensor subclass or manually
monkey-patch functions in the PyTorch API. Some common situations
where you sho... | TorchDispatchMode |
python | run-llama__llama_index | llama-index-integrations/vector_stores/llama-index-vector-stores-lancedb/llama_index/vector_stores/lancedb/base.py | {
"start": 2646,
"end": 20847
} | class ____(BasePydanticVectorStore):
"""
The LanceDB Vector Store.
Stores text and embeddings in LanceDB. The vector store will open an existing
LanceDB dataset or create the dataset if it does not exist.
Args:
uri (str, required): Location where LanceDB will store its files.
t... | LanceDBVectorStore |
python | keras-team__keras | keras/src/ops/nn.py | {
"start": 30974,
"end": 34215
} | class ____(Operation):
def __init__(
self,
pool_size,
strides=None,
padding="valid",
data_format=None,
*,
name=None,
):
super().__init__(name=name)
self.pool_size = pool_size
self.strides = strides
self.padding = padding.low... | AveragePool |
python | ageron__handson-ml | future_encoders.py | {
"start": 8047,
"end": 29846
} | class ____(_BaseEncoder):
"""Encode categorical integer features as a one-hot numeric array.
The input to this transformer should be an array-like of integers or
strings, denoting the values taken on by categorical (discrete) features.
The features are encoded using a one-hot (aka 'one-of-K' or 'dummy'... | OneHotEncoder |
python | pennersr__django-allauth | allauth/account/views.py | {
"start": 30611,
"end": 36013
} | class ____(NextRedirectMixin, FormView):
template_name = (
"account/confirm_email_verification_code." + app_settings.TEMPLATE_EXTENSION
)
form_class = ConfirmEmailVerificationCodeForm
def dispatch(self, request, *args, **kwargs):
self.stage = LoginStageController.enter(request, EmailVer... | ConfirmEmailVerificationCodeView |
python | pandas-dev__pandas | pandas/tests/arrays/categorical/test_api.py | {
"start": 300,
"end": 15397
} | class ____:
def test_ordered_api(self):
# GH 9347
cat1 = Categorical(list("acb"), ordered=False)
tm.assert_index_equal(cat1.categories, Index(["a", "b", "c"]))
assert not cat1.ordered
cat2 = Categorical(list("acb"), categories=list("bca"), ordered=False)
tm.assert_in... | TestCategoricalAPI |
python | PyCQA__pylint | tests/regrtest_data/max_inferable_limit_for_classes/nodes/roles.py | {
"start": 635,
"end": 717
} | class ____(AllowsLambdaRole, UsesInspection, StructuralRole):
...
| JoinTargetRole |
python | pytest-dev__pytest | testing/test_doctest.py | {
"start": 38613,
"end": 43831
} | class ____:
SCOPES = ["module", "session", "class", "function"]
def test_doctest_module_session_fixture(self, pytester: Pytester):
"""Test that session fixtures are initialized for doctest modules (#768)."""
# session fixture which changes some global data, which will
# be accessed by d... | TestDoctestAutoUseFixtures |
python | allegroai__clearml | clearml/backend_api/services/v2_20/tasks.py | {
"start": 371881,
"end": 376435
} | class ____(Request):
"""
Reset tasks
:param ids: IDs of the tasks to reset
:type ids: Sequence[str]
:param force: If not true, call fails if the task status is 'completed'
:type force: bool
:param clear_all: Clear script and execution sections completely
:type clear_all: bool
:param... | ResetManyRequest |
python | ray-project__ray | python/ray/serve/_private/deployment_scheduler.py | {
"start": 9084,
"end": 25036
} | class ____(ABC):
"""A centralized scheduler for all Serve deployments.
It makes a batch of scheduling decisions in each update cycle.
"""
def __init__(
self,
cluster_node_info_cache: ClusterNodeInfoCache,
head_node_id: str,
create_placement_group_fn: Callable,
):
... | DeploymentScheduler |
python | PrefectHQ__prefect | tests/test_flow_engine.py | {
"start": 75421,
"end": 79943
} | class ____:
async def test_no_lease_renewal_sync(
self, prefect_client: PrefectClient, monkeypatch: pytest.MonkeyPatch
):
mock_maintain_concurrency_lease = MagicMock()
monkeypatch.setattr(
"prefect.flow_engine.maintain_concurrency_lease",
mock_maintain_concurrency... | TestLeaseRenewal |
python | walkccc__LeetCode | solutions/1660. Correct a Binary Tree/1660.py | {
"start": 0,
"end": 388
} | class ____:
def __init__(self):
self.seen = set()
def correctBinaryTree(self, root: TreeNode | None) -> TreeNode | None:
if root == None:
return None
if root.right and root.right.val in self.seen:
return None
self.seen.add(root.val)
root.right = self.correctBinaryTree(root.right)
... | Solution |
python | pyca__cryptography | tests/x509/verification/test_verification.py | {
"start": 4192,
"end": 6633
} | class ____:
def test_build_client_verifier_missing_store(self):
with pytest.raises(
ValueError, match="A client verifier must have a trust store"
):
PolicyBuilder().build_client_verifier()
def test_verify(self):
# expires 2018-11-16 01:15:03 UTC
leaf = _l... | TestClientVerifier |
python | jmcnamara__XlsxWriter | xlsxwriter/test/comparison/test_excel2003_style06.py | {
"start": 315,
"end": 1171
} | class ____(ExcelComparisonTest):
"""
Test file created by XlsxWriter against a file created by Excel.
"""
def setUp(self):
self.set_filename("excel2003_style06.xlsx")
self.ignore_elements = {
"xl/drawings/drawing1.xml": [
"<xdr:cNvPr",
"<a:p... | TestCompareXLSXFiles |
python | django__django | tests/template_tests/syntax_tests/test_for.py | {
"start": 13096,
"end": 13447
} | class ____(SimpleTestCase):
def test_repr(self):
node = ForNode(
"x",
"sequence",
is_reversed=True,
nodelist_loop=["val"],
nodelist_empty=["val2"],
)
self.assertEqual(
repr(node), "<ForNode: for x in sequence, tail_len: ... | ForNodeTests |
python | has2k1__plotnine | tests/test_geom_ribbon_area.py | {
"start": 3008,
"end": 4145
} | class ____:
x = np.arange(10)
d = 5
data = pd.DataFrame(
{"x": x, "y1": x, "y2": x + 2 * d, "y3": x + 4 * d, "y4": x + 6 * d}
)
p = (
ggplot(data, aes("x", ymax=after_stat("ymin + d")))
+ geom_ribbon(
aes(ymin="y1"),
size=1,
fill="bisque",... | TestOutlineType |
python | streamlit__streamlit | lib/tests/streamlit/components/v2/test_bidi_component.py | {
"start": 8834,
"end": 12327
} | class ____(DeltaGeneratorTestCase):
"""Validate bi-directional component mixin behavior.
This suite verifies:
- Parsing of ``on_<event>_change`` kwargs into an event-to-callback mapping
- Registration of the per-run aggregator trigger widget with
``value_type`` equal to ``"json_trigger_value"``
... | BidiComponentMixinTest |
python | pyca__cryptography | tests/x509/test_x509.py | {
"start": 257976,
"end": 259851
} | class ____:
def test_eq(self):
attr1 = x509.Attribute(
x509.oid.AttributeOID.CHALLENGE_PASSWORD,
b"value",
)
attr2 = x509.Attribute(
x509.oid.AttributeOID.CHALLENGE_PASSWORD,
b"value",
)
assert attr1 == attr2
def test_ne(se... | TestAttribute |
python | kamyu104__LeetCode-Solutions | Python/single-number-ii.py | {
"start": 50,
"end": 307
} | class ____(object):
# @param A, a list of integer
# @return an integer
def singleNumber(self, A):
one, two = 0, 0
for x in A:
one, two = (~x & one) | (x & ~one & ~two), (~x & two) | (x & one)
return one
| Solution |
python | tensorflow__tensorflow | tensorflow/python/kernel_tests/distributions/util_test.py | {
"start": 13138,
"end": 13917
} | class ____(test.TestCase):
def testLogCombinationsBinomial(self):
n = [2, 5, 12, 15]
k = [1, 2, 4, 11]
if not special:
return
log_combs = np.log(special.binom(n, k))
n = np.array(n, dtype=np.float32)
counts = [[1., 1], [2., 3], [4., 8], [11, 4]]
log_binom = du.log_combinations(n,... | LogCombinationsTest |
python | sqlalchemy__sqlalchemy | test/engine/test_execute.py | {
"start": 9465,
"end": 13609
} | class ____(fixtures.TablesTest):
@classmethod
def define_tables(cls, metadata):
cls.table = Table(
"exec_test",
metadata,
Column("a", Integer),
Column("b", Integer),
test_needs_acid=True,
)
def _trans_fn(self, is_transaction=False... | ConvenienceExecuteTest |
python | pytorch__pytorch | test/dynamo/test_higher_order_ops.py | {
"start": 208603,
"end": 213170
} | class ____(torch.nn.Module):
def forward(self, L_x_: "f32[4, 3]", L_y_: "f32[3, 4]"):
l_x_ = L_x_
l_y_ = L_y_
tensor: "i64[1]" = torch.tensor((12,))
cumsum: "i64[1]" = tensor.cumsum(dim = 0); tensor = None
getitem: "i64[0]" = cumsum[slice(None, -1, None)]; cumsum = None
... | GraphModule |
python | pytorch__pytorch | test/inductor/test_provenance_tracing.py | {
"start": 20731,
"end": 32113
} | class ____(TestCase):
@contextlib.contextmanager
def _setup_provenance_capture(self):
"""Helper to turn on and capture the 'inductor_tlparse_runtime' structured trace."""
payload_buffer = io.StringIO()
payload_handler = logging.StreamHandler(payload_buffer)
payload_handler.setLev... | TestProvenanceTracingStackTraces |
python | optuna__optuna | optuna/samplers/_tpe/parzen_estimator.py | {
"start": 1055,
"end": 1370
} | class ____(NamedTuple):
prior_weight: float
consider_magic_clip: bool
consider_endpoints: bool
weights: Callable[[int], np.ndarray]
multivariate: bool
categorical_distance_func: dict[
str, Callable[[CategoricalChoiceType, CategoricalChoiceType], float]
]
| _ParzenEstimatorParameters |
python | run-llama__llama_index | llama-index-integrations/readers/llama-index-readers-airtable/llama_index/readers/airtable/base.py | {
"start": 178,
"end": 905
} | class ____(BaseReader):
"""
Airtable reader. Reads data from a table in a base.
Args:
api_key (str): Airtable API key.
"""
def __init__(self, api_key: str) -> None:
"""Initialize Airtable reader."""
self.api_key = api_key
def load_data(self, base_id: str, table_id: st... | AirtableReader |
python | charliermarsh__ruff | crates/ty_python_semantic/resources/corpus/74_class_kwargs_2.py | {
"start": 0,
"end": 31
} | class ____(int, x=42):
pass
| Foo |
python | openai__openai-python | src/openai/types/responses/response_mcp_call_failed_event.py | {
"start": 203,
"end": 582
} | class ____(BaseModel):
item_id: str
"""The ID of the MCP tool call item that failed."""
output_index: int
"""The index of the output item that failed."""
sequence_number: int
"""The sequence number of this event."""
type: Literal["response.mcp_call.failed"]
"""The type of the event. A... | ResponseMcpCallFailedEvent |
python | faif__python-patterns | patterns/behavioral/catalog.py | {
"start": 220,
"end": 1368
} | class ____:
"""catalog of multiple static methods that are executed depending on an init parameter
"""
def __init__(self, param: str) -> None:
# dictionary that will be used to determine which static method is
# to be executed but that will be also used to store possible param
# val... | Catalog |
python | wandb__wandb | wandb/vendor/graphql-core-1.1/wandb_graphql/language/ast.py | {
"start": 31063,
"end": 31989
} | class ____(Node):
__slots__ = ('loc', 'name', 'directives',)
_fields = ('name',)
def __init__(self, name, loc=None, directives=None):
self.loc = loc
self.name = name
self.directives = directives
def __eq__(self, other):
return (
self is other or (
... | EnumValueDefinition |
python | walkccc__LeetCode | solutions/2323. Find Minimum Time to Finish All Jobs II/2323.py | {
"start": 0,
"end": 239
} | class ____:
def minimumTime(self, jobs: list[int], workers: list[int]) -> int:
ans = 0
jobs.sort()
workers.sort()
for job, worker in zip(jobs, workers):
ans = max(ans, (job - 1) // worker + 1)
return ans
| Solution |
python | PrefectHQ__prefect | src/integrations/prefect-github/prefect_github/schemas/graphql_schema.py | {
"start": 108761,
"end": 109431
} | class ____(sgqlc.types.Input):
"""
See source code for more info.
"""
__schema__ = graphql_schema
__field_names__ = (
"enterprise_id",
"invitee",
"email",
"role",
"client_mutation_id",
)
enterprise_id = sgqlc.types.Field(
sgqlc.types.non_null(... | InviteEnterpriseAdminInput |
python | ApeWorX__ape | src/ape/managers/project.py | {
"start": 1591,
"end": 12387
} | class ____(BaseManager):
"""
A manager of a local-project's source-paths.
Access via ``project.sources``. Allows source-access
from both ``source_id`` and ``path``. Handles
detecting modified sources as well as excluded sources.
Is meant to resemble a PackageManifest's source dict
but with m... | SourceManager |
python | networkx__networkx | networkx/algorithms/centrality/tests/test_katz_centrality.py | {
"start": 52,
"end": 3716
} | class ____:
def test_K5(self):
"""Katz centrality: K5"""
G = nx.complete_graph(5)
alpha = 0.1
b = nx.katz_centrality(G, alpha)
v = math.sqrt(1 / 5.0)
b_answer = dict.fromkeys(G, v)
for n in sorted(G):
assert b[n] == pytest.approx(b_answer[n], abs=1... | TestKatzCentrality |
python | apache__airflow | providers/google/tests/unit/google/cloud/operators/test_bigquery.py | {
"start": 34372,
"end": 34797
} | class ____:
@mock.patch("airflow.providers.google.cloud.operators.bigquery._BigQueryDbHookMixin.get_db_hook")
def test_get_db_hook(
self,
mock_get_db_hook,
operator_class,
kwargs,
):
operator = operator_class(task_id=TASK_ID, gcp_conn_id="google_cloud_default", **kwar... | TestBigQueryCheckOperators |
python | django__django | tests/admin_views/admin.py | {
"start": 17433,
"end": 17621
} | class ____(admin.ModelAdmin):
list_display = ("reference", "driver", "restaurant")
list_editable = ("driver", "restaurant")
show_facets = admin.ShowFacets.NEVER
| FoodDeliveryAdmin |
python | run-llama__llama_index | llama-index-integrations/program/llama-index-program-evaporate/llama_index/program/evaporate/df.py | {
"start": 551,
"end": 762
} | class ____(BaseModel):
"""Column in a DataFrame."""
column_name: str = Field(..., description="Column name.")
column_desc: Optional[str] = Field(..., description="Column description.")
| DataFrameColumn |
python | arrow-py__arrow | arrow/locales.py | {
"start": 136237,
"end": 137612
} | class ____(Locale):
names = ["ur", "ur-pk"]
past = "پہلے {0}"
future = "میں {0}"
and_word = "اور"
timeframes = {
"now": "ابھی",
"second": "ایک سیکنڈ",
"seconds": "{0} سیکنڈ",
"minute": "ایک منٹ",
"minutes": "{0} منٹ",
"hour": "ایک گھنٹے",
"ho... | UrduLocale |
python | huggingface__transformers | tests/models/dinov3_vit/test_modeling_dinov3_vit.py | {
"start": 9628,
"end": 11486
} | class ____(unittest.TestCase):
@cached_property
def default_image_processor(self):
return (
AutoImageProcessor.from_pretrained("facebook/dinov3-vits16-pretrain-lvd1689m")
if is_vision_available()
else None
)
@slow
def test_inference_no_head(self):
... | DINOv3ViTModelIntegrationTest |
python | tiangolo__fastapi | docs_src/body_nested_models/tutorial002_py39.py | {
"start": 104,
"end": 407
} | class ____(BaseModel):
name: str
description: Union[str, None] = None
price: float
tax: Union[float, None] = None
tags: list[str] = []
@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item):
results = {"item_id": item_id, "item": item}
return results
| Item |
python | pytorch__pytorch | test/cpp_extensions/open_registration_extension/torch_openreg/tests/test_autograd.py | {
"start": 217,
"end": 1041
} | class ____(TestCase):
# Support MPS and Windows platform later and fix torchdynamo issue
@skipIfMPS
@skipIfWindows()
@skipIfTorchDynamo()
def test_autograd_init(self):
# Make sure autograd is initialized
torch.ones(2, requires_grad=True, device="openreg").sum().backward()
pi... | TestAutograd |
python | Lightning-AI__lightning | tests/tests_pytorch/callbacks/test_model_checkpoint_edge_cases.py | {
"start": 305,
"end": 837
} | class ____(Dataset):
def __init__(self, n: int = 8):
self.x = torch.arange(n, dtype=torch.float32).view(-1, 1)
self.y = self.x.clone()
def __len__(self):
return len(self.x)
def __getitem__(self, idx):
return self.x[idx], self.y[idx]
def _make_loaders(n=8, batch_size=2):
... | TinyDataset |
python | optuna__optuna | optuna/trial/_trial.py | {
"start": 29607,
"end": 30143
} | class ____(UserDict):
def __init__(self, trial_id: int, storage: optuna.storages.BaseStorage) -> None:
super().__init__()
self._trial_id = trial_id
self._storage = storage
self._initialized = False
def __getattribute__(self, key: str) -> Any:
if key == "data":
... | _LazyTrialSystemAttrs |
python | getsentry__sentry | tests/sentry/issue_detection/test_consecutive_http_detector.py | {
"start": 782,
"end": 16996
} | class ____(TestCase):
def setUp(self) -> None:
super().setUp()
self._settings = get_detection_settings()
def find_problems(self, event: dict[str, Any]) -> list[PerformanceProblem]:
detector = ConsecutiveHTTPSpanDetector(self._settings, event)
run_detector_on_data(detector, event... | ConsecutiveHTTPSpansDetectorTest |
python | dagster-io__dagster | python_modules/dagster/dagster/_core/workspace/context.py | {
"start": 4096,
"end": 28037
} | class ____(LoadingContext):
"""This class is a request-scoped object that stores (1) a reference to all repository locations
that exist on the `IWorkspaceProcessContext` at the start of the request and (2) a snapshot of the
workspace at the start of the request.
This object is needed because a process ... | BaseWorkspaceRequestContext |
python | pytorch__pytorch | test/distributed/_composable/test_composability/test_2d_composability.py | {
"start": 25607,
"end": 39242
} | class ____(DTensorTestBase):
@property
def backend(self):
# need to specify gloo backend for testing cpu offload
return "cpu:gloo,xpu:xccl" if TEST_XPU else "cpu:gloo,cuda:nccl"
@with_comms
@skip_if_lt_x_gpu(4)
def test_fsdp_2d_extension(self):
"""
Test whether _fsdp... | TestNew2dParallelStateDict |
python | getsentry__sentry | src/sentry/types/actor.py | {
"start": 10217,
"end": 11696
} | class ____(Protocol):
"""Protocol for objects that are owned by Actor but need to store ownership in discrete columns"""
@property
def owner(self) -> Actor | None: ...
@owner.setter
def owner(self, actor: Actor | None) -> None: ...
def parse_and_validate_actor(actor_identifier: str | None, organ... | ActorOwned |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-outbrain-amplify/source_outbrain_amplify/source.py | {
"start": 41271,
"end": 44344
} | class ____(OutbrainAmplifyStream, HttpSubStream):
primary_key = None
def __init__(self, authenticator, config, parent: Marketers, **kwargs):
super().__init__(parent=parent, **kwargs)
self.config = config
self._authenticator = authenticator
self._session = requests.sessions.Sessi... | PerformanceReportMarketersCampaignsByGeo |
python | scrapy__scrapy | tests/test_command_version.py | {
"start": 53,
"end": 678
} | class ____:
def test_output(self) -> None:
_, out, _ = proc("version")
assert out.strip() == f"Scrapy {scrapy.__version__}"
def test_verbose_output(self) -> None:
_, out, _ = proc("version", "-v")
headers = [line.partition(":")[0].strip() for line in out.strip().splitlines()]
... | TestVersionCommand |
python | huggingface__transformers | src/transformers/models/sew_d/modeling_sew_d.py | {
"start": 14698,
"end": 15142
} | class ____(nn.Module):
def __init__(self, num_conv_pos_embeddings):
super().__init__()
self.num_pad_remove = 1 if num_conv_pos_embeddings % 2 == 0 else 0
def forward(self, hidden_states):
if self.num_pad_remove > 0:
hidden_states = hidden_states[:, :, : -self.num_pad_remove]... | SEWDSamePadLayer |
python | django__django | django/test/testcases.py | {
"start": 65162,
"end": 67864
} | class ____(TransactionTestCase):
"""
Do basically the same as TransactionTestCase but also launch a live HTTP
server in a separate thread so that the tests may use another testing
framework, such as Selenium for example, instead of the built-in dummy
client.
It inherits from TransactionTestCase ... | LiveServerTestCase |
python | psf__black | tests/data/cases/preview_long_strings__regression.py | {
"start": 11333,
"end": 11919
} | class ____:
class B:
def foo():
if not hasattr(module, name):
raise ValueError(
"Could not find object %s in %s.\n"
"Please note that you cannot serialize things like inner "
"classes. Please move the object into the mai... | A |
python | google__jax | jax/_src/export/shape_poly.py | {
"start": 68502,
"end": 72072
} | class ____:
comp: Comparator
left: DimSize
right: DimSize
# `error_message_pieces` is a list of strings and DimSize. The error message
# is formed by evaluating the DimSize and concatenating the sequence.
error_message_pieces: Sequence[str | DimSize]
def check_statically(self, eval: ShapeEvaluator) -> N... | ShapeConstraint |
python | sympy__sympy | sympy/polys/agca/modules.py | {
"start": 33500,
"end": 41088
} | class ____(SubModule):
"""
Submodule of a free module over a generalized polynomial ring.
Do not instantiate this, use the constructor method of FreeModule instead:
>>> from sympy.abc import x, y
>>> from sympy import QQ
>>> F = QQ.old_poly_ring(x, y).free_module(2)
>>> F.submodule([x, y],... | SubModulePolyRing |
python | astropy__astropy | astropy/io/ascii/basic.py | {
"start": 5984,
"end": 6123
} | class ____(core.DefaultSplitter):
"""
Split on comma for CSV (comma-separated-value) tables.
"""
delimiter = ","
| CsvSplitter |
python | scipy__scipy | scipy/linalg/tests/test_decomp_update.py | {
"start": 47698,
"end": 47761
} | class ____(BaseQRinsert):
dtype = np.dtype('D')
| TestQRinsert_D |
python | pandas-dev__pandas | pandas/io/pytables.py | {
"start": 90243,
"end": 90345
} | class ____(DataIndexableCol):
"""represent a generic pytables data column"""
| GenericDataIndexableCol |
python | anthropics__anthropic-sdk-python | src/anthropic/resources/beta/skills/skills.py | {
"start": 23756,
"end": 24375
} | class ____:
def __init__(self, skills: Skills) -> None:
self._skills = skills
self.create = to_streamed_response_wrapper(
skills.create,
)
self.retrieve = to_streamed_response_wrapper(
skills.retrieve,
)
self.list = to_streamed_response_wrappe... | SkillsWithStreamingResponse |
python | microsoft__pyright | packages/pyright-internal/src/tests/samples/autoVariance4.py | {
"start": 797,
"end": 855
} | class ____(Generic[T_contra]):
pass
| Parent_Contravariant |
python | huggingface__transformers | src/transformers/models/layoutlmv3/modeling_layoutlmv3.py | {
"start": 8360,
"end": 8834
} | class ____(PreTrainedModel):
config: LayoutLMv3Config
base_model_prefix = "layoutlmv3"
input_modalities = ("image", "text")
@torch.no_grad()
def _init_weights(self, module):
"""Initialize the weights"""
super()._init_weights(module)
if isinstance(module, LayoutLMv3Model):
... | LayoutLMv3PreTrainedModel |
python | walkccc__LeetCode | solutions/2391. Minimum Amount of Time to Collect Garbage/2391.py | {
"start": 0,
"end": 488
} | class ____:
def garbageCollection(self, garbage: list[str], travel: list[int]) -> int:
prefix = list(itertools.accumulate(travel))
def getTime(c: str) -> int:
characterCount = 0
lastIndex = -1
for i, s in enumerate(garbage):
if any(g == c for g in s):
lastIndex = i
... | Solution |
python | huggingface__transformers | src/transformers/modeling_outputs.py | {
"start": 83948,
"end": 85514
} | class ____(ModelOutput):
"""
Base class for outputs of image super resolution models.
Args:
loss (`torch.FloatTensor` of shape `(1,)`, *optional*, returned when `labels` is provided):
Reconstruction loss.
reconstruction (`torch.FloatTensor` of shape `(batch_size, num_channels, h... | ImageSuperResolutionOutput |
python | pytorch__pytorch | test/inductor/test_inductor_freezing.py | {
"start": 3766,
"end": 4280
} | class ____(torch.nn.Module):
def __init__(self, in_channels, out_channels, bias=False, **kwargs):
super().__init__()
self.conv = torch.nn.Conv2d(in_channels, out_channels, bias=bias, **kwargs)
self.bn = torch.nn.BatchNorm2d(out_channels, eps=0.001, dtype=torch.float)
self.bn2 = torch... | ConvMultiBN |
python | huggingface__transformers | src/transformers/models/ijepa/modeling_ijepa.py | {
"start": 9874,
"end": 10517
} | class ____(nn.Module):
"""
The residual connection is defined in IJepaLayer instead of here (as is the case with other models), due to the
layernorm applied before each block.
"""
def __init__(self, config: IJepaConfig):
super().__init__()
self.dense = nn.Linear(config.hidden_size, ... | IJepaSelfOutput |
python | doocs__leetcode | solution/0000-0099/0083.Remove Duplicates from Sorted List/Solution.py | {
"start": 151,
"end": 448
} | class ____:
def deleteDuplicates(self, head: Optional[ListNode]) -> Optional[ListNode]:
cur = head
while cur and cur.next:
if cur.val == cur.next.val:
cur.next = cur.next.next
else:
cur = cur.next
return head
| Solution |
python | huggingface__transformers | tests/pipelines/test_pipelines_any_to_any.py | {
"start": 1165,
"end": 15166
} | class ____(unittest.TestCase):
model_mapping = MODEL_FOR_MULTIMODAL_LM_MAPPING
# We only need `processor` but the Mixin will pass all possible preprocessing classes for a model.
# So we add them all in signature
def get_test_pipeline(
self, model, tokenizer, processor, image_processor=None, fea... | AnyToAnyPipelineTests |
python | simonw__datasette | datasette/filters.py | {
"start": 9528,
"end": 15261
} | class ____:
_filters = (
[
# key, display, sql_template, human_template, format=, numeric=, no_argument=
TemplatedFilter(
"exact",
"=",
'"{c}" = :{p}',
lambda c, v: "{c} = {v}" if v.isdigit() else '{c} = "{v}"',
... | Filters |
python | dagster-io__dagster | python_modules/libraries/dagster-airlift/dagster_airlift/in_airflow/proxied_state.py | {
"start": 6369,
"end": 8412
} | class ____(Exception):
pass
def load_proxied_state_from_yaml(proxied_yaml_path: Path) -> AirflowProxiedState:
"""Loads the proxied state from a directory of yaml files.
Expects the directory to contain yaml files, where each file corresponds to the id of a dag (ie: `dag_id.yaml`).
This directory is t... | ProxiedStateParsingError |
python | spack__spack | lib/spack/spack/vendor/jinja2/sandbox.py | {
"start": 13937,
"end": 14561
} | class ____(Formatter):
def __init__(self, env: Environment, **kwargs: t.Any) -> None:
self._env = env
super().__init__(**kwargs) # type: ignore
def get_field(
self, field_name: str, args: t.Sequence[t.Any], kwargs: t.Mapping[str, t.Any]
) -> t.Tuple[t.Any, str]:
first, rest... | SandboxedFormatter |
python | walkccc__LeetCode | solutions/131. Palindrome Partitioning/131.py | {
"start": 0,
"end": 445
} | class ____:
def partition(self, s: str) -> list[list[str]]:
ans = []
def isPalindrome(s: str) -> bool:
return s == s[::-1]
def dfs(s: str, j: int, path: list[str], ans: list[list[str]]) -> None:
if j == len(s):
ans.append(path)
return
for i in range(j, len(s)):
... | Solution |
python | airbytehq__airbyte | airbyte-ci/connectors/live-tests/src/live_tests/report.py | {
"start": 915,
"end": 1026
} | class ____(Enum):
INITIALIZING = "initializing"
RUNNING = "running"
FINISHED = "finished"
| ReportState |
python | coleifer__peewee | tests/base.py | {
"start": 4808,
"end": 6574
} | class ____(unittest.TestCase):
def setUp(self):
self._qh = QueryLogHandler()
logger.setLevel(logging.DEBUG)
logger.addHandler(self._qh)
def tearDown(self):
logger.removeHandler(self._qh)
def assertIsNone(self, value):
self.assertTrue(value is None, '%r is not None' ... | BaseTestCase |
python | cython__cython | Cython/Compiler/ExprNodes.py | {
"start": 414685,
"end": 416705
} | class ____(ExprNode, ModuleNameMixin):
# Helper class used in the implementation of Python
# class definitions. Constructs a class object given
# a name, tuple of bases and class dictionary.
#
# name EncodedString Name of the class
# class_def_node PyClassDefNode PyClassDefNo... | ClassNode |
python | getsentry__sentry | src/sentry/sentry_metrics/querying/data/execution.py | {
"start": 11221,
"end": 19072
} | class ____:
"""
Represents the result of a ScheduledQuery containing its associated series and totals results.
Attributes:
has_more: True if the query has more groups stored than they were returned. This is used in conjunction with
dynamic limiting.
"""
series_query: ScheduledQ... | QueryResult |
python | kamyu104__LeetCode-Solutions | Python/maximum-size-of-a-set-after-removals.py | {
"start": 486,
"end": 989
} | class ____(object):
def maximumSetSize(self, nums1, nums2):
"""
:type nums1: List[int]
:type nums2: List[int]
:rtype: int
"""
lookup1, lookup2 = set(nums1), set(nums2)
n, c = len(nums1), len(lookup1&lookup2)
d1, d2 = min(len(lookup1)-c, n//2), min(len(... | Solution2 |
python | mlflow__mlflow | tests/pyfunc/test_pyfunc_model_with_type_hints.py | {
"start": 16973,
"end": 17455
} | class ____(mlflow.pyfunc.PythonModel):
def predict(self, context, model_input: {type_hint}, params=None) -> {type_hint}:
return model_input
set_model(TestModel())
"""
file_content = f"""
import mlflow
from mlflow.models import set_model
import datetime
import pydantic
from typing import Any, Optional,... | TestModel |
python | wandb__wandb | wandb/vendor/pygments/lexers/textfmts.py | {
"start": 525,
"end": 2817
} | class ____(RegexLexer):
"""
Lexer for IRC logs in *irssi*, *xchat* or *weechat* style.
"""
name = 'IRC logs'
aliases = ['irc']
filenames = ['*.weechatlog']
mimetypes = ['text/x-irclog']
flags = re.VERBOSE | re.MULTILINE
timestamp = r"""
(
# irssi / xchat and other... | IrcLogsLexer |
python | dagster-io__dagster | python_modules/libraries/dagster-dlt/dagster_dlt/components/dlt_load_collection/scaffolder.py | {
"start": 545,
"end": 626
} | class ____(NamedTuple):
pipeline_src: str
source_src: str
| PipelineAndSource |
python | kamyu104__LeetCode-Solutions | Python/ugly-number-ii.py | {
"start": 43,
"end": 1442
} | class ____(object):
# @param {integer} n
# @return {integer}
def nthUglyNumber(self, n):
ugly_number = 0
heap = []
heapq.heappush(heap, 1)
for _ in xrange(n):
ugly_number = heapq.heappop(heap)
if ugly_number % 2 == 0:
heapq.heappush(he... | Solution |
python | astropy__astropy | astropy/table/tests/test_table.py | {
"start": 54069,
"end": 65010
} | class ____:
def test_convert_numpy_array(self, table_types):
d = table_types.Table([[1, 2], [3, 4]], names=("a", "b"))
np_data = np.array(d)
if table_types.Table is not MaskedTable:
assert np.all(np_data == d.as_array())
assert np_data is not d.as_array()
assert ... | TestConvertNumpyArray |
python | doocs__leetcode | solution/2400-2499/2438.Range Product Queries of Powers/Solution.py | {
"start": 0,
"end": 412
} | class ____:
def productQueries(self, n: int, queries: List[List[int]]) -> List[int]:
powers = []
while n:
x = n & -n
powers.append(x)
n -= x
mod = 10**9 + 7
ans = []
for l, r in queries:
x = 1
for i in range(l, r + 1... | Solution |
python | fluentpython__example-code | 06-dp-1class-func/classic_strategy.py | {
"start": 2228,
"end": 2468
} | class ____(Promotion): # first Concrete Strategy
"""5% discount for customers with 1000 or more fidelity points"""
def discount(self, order):
return order.total() * .05 if order.customer.fidelity >= 1000 else 0
| FidelityPromo |
python | getlogbook__logbook | src/logbook/base.py | {
"start": 5040,
"end": 5547
} | class ____:
"""Helper for exception caught blocks."""
def __init__(self, logger, args, kwargs):
self.logger = logger
self.args = args
self.kwargs = kwargs
def __enter__(self):
return self
def __exit__(self, exc_type, exc_value, tb):
if exc_type is not None:
... | _ExceptionCatcher |
python | celery__celery | t/unit/worker/test_consumer.py | {
"start": 40528,
"end": 49197
} | class ____:
def test_init(self):
c = self.Consumer()
c.app.connection_for_read = _amqp_connection()
g = Gossip(c)
assert g.enabled
assert c.gossip is g
def test_callbacks(self):
c = self.Consumer()
c.app.connection_for_read = _amqp_connection()
g... | test_Gossip |
python | allegroai__clearml | clearml/backend_api/services/v2_13/tasks.py | {
"start": 179220,
"end": 185212
} | class ____(Response):
"""
Response of tasks.delete_many endpoint.
:param deleted: Number of tasks deleted
:type deleted: int
:param updated_children: Number of child tasks whose parent property was
updated
:type updated_children: int
:param updated_models: Number of models whose tas... | DeleteManyResponse |
python | spyder-ide__spyder | spyder/utils/stylesheet.py | {
"start": 23017,
"end": 24340
} | class ____(SpecialTabBarStyleSheet, SpyderFontsMixin):
"""Style for tab bars in our Preferences dialog."""
# This is necessary because this class needs to access fonts
SET_STYLESHEET_AT_INIT = False
def set_stylesheet(self):
super().set_stylesheet()
# Main constants
css = self... | PreferencesTabBarStyleSheet |
python | huggingface__transformers | examples/modular-transformers/modeling_super.py | {
"start": 10820,
"end": 12602
} | class ____(GradientCheckpointingLayer):
def __init__(self, config: SuperConfig, layer_idx: int):
super().__init__()
self.hidden_size = config.hidden_size
self.self_attn = SuperAttention(config=config, layer_idx=layer_idx)
self.mlp = SuperMLP(config)
self.input_layernorm = S... | SuperDecoderLayer |
python | cython__cython | Cython/Compiler/ParseTreeTransforms.py | {
"start": 182255,
"end": 186630
} | class ____(TreeVisitor):
"""
Used by finalExceptClauseNode to work out if the body
needs to handle exceptions at all. This includes:
1. Can raise an exception.
2. May try to access the traceback.
"""
def __init__(self):
self.uses_no_exceptions = True
self.assignment_lhs = No... | HasNoExceptionHandlingVisitor |
python | sympy__sympy | sympy/polys/matrices/tests/test_xxm.py | {
"start": 11456,
"end": 29778
} | class ____:
def __getitem__(self, item):
return item
_slice = _Sliced()
@pytest.mark.parametrize('DM', DMZ_all)
def test_XXM_extract_slice(DM):
A = DM([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
assert A.extract_slice(*_slice[:,:]) == A
assert A.extract_slice(*_slice[1:,:]) == DM([[4, 5, 6], [7, 8, 9... | _Sliced |
python | scrapy__scrapy | tests/test_downloader_handlers.py | {
"start": 1198,
"end": 2734
} | class ____:
def test_enabled_handler(self):
handlers = {"scheme": DummyDH}
crawler = get_crawler(settings_dict={"DOWNLOAD_HANDLERS": handlers})
dh = DownloadHandlers(crawler)
assert "scheme" in dh._schemes
assert "scheme" in dh._handlers
assert "scheme" not in dh._not... | TestLoad |
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