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 | cython__cython | Cython/Compiler/Nodes.py | {
"start": 223691,
"end": 234444
} | class ____(ClassDefNode):
# A Python class definition.
#
# name EncodedString Name of the class
# doc string or None The class docstring
# body StatNode Attribute definition code
# entry Symtab.Entry
# scope PyClassScope
# decorators [DecoratorNode]... | PyClassDefNode |
python | sympy__sympy | sympy/stats/frv.py | {
"start": 1693,
"end": 2359
} | class ____(RandomDomain):
"""
A domain with discrete finite support
Represented using a FiniteSet.
"""
is_Finite = True
@property
def symbols(self):
return FiniteSet(sym for sym, val in self.elements)
@property
def elements(self):
return self.args[0]
@property... | FiniteDomain |
python | PrefectHQ__prefect | src/integrations/prefect-github/prefect_github/schemas/graphql_schema.py | {
"start": 650058,
"end": 650533
} | class ____(sgqlc.types.Type):
"""
See source code for more info.
"""
__schema__ = graphql_schema
__field_names__ = ("cursor", "node", "permission")
cursor = sgqlc.types.Field(sgqlc.types.non_null(String), graphql_name="cursor")
node = sgqlc.types.Field(sgqlc.types.non_null("Repository"), gr... | TeamRepositoryEdge |
python | pennersr__django-allauth | allauth/headless/mfa/response.py | {
"start": 1612,
"end": 1910
} | class ____(APIResponse):
def __init__(self, request, secret, totp_url):
super().__init__(
request,
meta={
"secret": secret,
"totp_url": totp_url,
},
status=HTTPStatus.NOT_FOUND,
)
| TOTPNotFoundResponse |
python | catalyst-team__catalyst | catalyst/contrib/datasets/imagewang.py | {
"start": 469,
"end": 934
} | class ____(ImageClassificationDataset):
"""
`Imagewang <https://github.com/fastai/imagenette#image%E7%BD%91>`_ Dataset
with images resized so that the shortest size is 160 px.
.. note::
catalyst[cv] required for this dataset.
"""
name = "imagewang-160"
resources = [
(
... | Imagewang160 |
python | python-attrs__attrs | tests/dataclass_transform_example.py | {
"start": 613,
"end": 795
} | class ____:
_a: int = attrs.field(alias="_a")
af = AliasedField(42)
reveal_type(af.__init__) # noqa: F821
# unsafe_hash is accepted
@attrs.define(unsafe_hash=True)
| AliasedField |
python | celery__celery | t/unit/backends/test_rpc.py | {
"start": 546,
"end": 3692
} | class ____:
def setup_method(self):
self.b = RPCBackend(app=self.app)
def test_oid(self):
oid = self.b.oid
oid2 = self.b.oid
assert uuid.UUID(oid)
assert oid == oid2
assert oid == self.app.thread_oid
def test_oid_threads(self):
# Verify that two RPC... | test_RPCBackend |
python | pyca__cryptography | tests/hazmat/primitives/test_serialization.py | {
"start": 52143,
"end": 52618
} | class ____:
def test_non_bytes_password(self):
with pytest.raises(ValueError):
BestAvailableEncryption(object()) # type:ignore[arg-type]
def test_encryption_with_zero_length_password(self):
with pytest.raises(ValueError):
BestAvailableEncryption(b"")
@pytest.mark.supp... | TestKeySerializationEncryptionTypes |
python | pytorch__pytorch | torch/export/graph_signature.py | {
"start": 1010,
"end": 1141
} | class ____:
name: str
class_fqn: str
fake_val: Optional[FakeScriptObject] = None
@dataclasses.dataclass
| CustomObjArgument |
python | pytorch__pytorch | torch/_export/passes/add_runtime_assertions_for_constraints_pass.py | {
"start": 518,
"end": 1129
} | class ____(NamedTuple):
input_name: str
dim: int
def _convert_to_int(val):
# Convert simple sympy Integers into concrete int
if val in (sympy.oo, int_oo):
return math.inf
if val in (-sympy.oo, -int_oo):
return -math.inf
if isinstance(val, sympy.Integer):
return int(val)... | InputDim |
python | doocs__leetcode | solution/1400-1499/1410.HTML Entity Parser/Solution.py | {
"start": 0,
"end": 607
} | class ____:
def entityParser(self, text: str) -> str:
d = {
'"': '"',
''': "'",
'&': "&",
">": '>',
"<": '<',
"⁄": '/',
}
i, n = 0, len(text)
ans = []
while i < n:
fo... | Solution |
python | ZoranPandovski__al-go-rithms | search/Traversal/Pre Order Traversal Binary Tree/Python/koffy.py | {
"start": 190,
"end": 475
} | class ____:
def preorderTraversal(self, root: TreeNode):
result = []
if root:
result.append(root.val)
result += self.preorderTraversal(root.left)
result += self.preorderTraversal(root.right)
return result | Solution |
python | numpy__numpy | numpy/polynomial/tests/test_printing.py | {
"start": 15003,
"end": 18946
} | class ____:
"""Test the latex repr used by Jupyter"""
@staticmethod
def as_latex(obj):
# right now we ignore the formatting of scalars in our tests, since
# it makes them too verbose. Ideally, the formatting of scalars will
# be fixed such that tests below continue to pass
o... | TestLatexRepr |
python | sqlalchemy__sqlalchemy | lib/sqlalchemy/dialects/mssql/aioodbc.py | {
"start": 1809,
"end": 2021
} | class ____(aiodbcConnector, MSDialect_pyodbc):
driver = "aioodbc"
supports_statement_cache = True
execution_ctx_cls = MSExecutionContext_aioodbc
dialect = MSDialectAsync_aioodbc
| MSDialectAsync_aioodbc |
python | microsoft__pyright | packages/pyright-internal/src/tests/samples/protocol53.py | {
"start": 2494,
"end": 2568
} | class ____(Protocol):
def m(self, x: Self) -> None: ...
| Proto_ContraSelf |
python | huggingface__transformers | tests/models/siglip/test_image_processing_siglip.py | {
"start": 1011,
"end": 3040
} | class ____:
def __init__(
self,
parent,
batch_size=7,
num_channels=3,
image_size=18,
min_resolution=30,
max_resolution=400,
do_resize=True,
size=None,
do_rescale=True,
rescale_factor=1 / 255,
do_normalize=True,
i... | SiglipImageProcessingTester |
python | huggingface__transformers | src/transformers/models/big_bird/modeling_big_bird.py | {
"start": 100725,
"end": 105486
} | class ____(BigBirdPreTrainedModel):
def __init__(self, config):
super().__init__(config)
self.num_labels = config.num_labels
self.config = config
self.bert = BigBirdModel(config)
self.classifier = BigBirdClassificationHead(config)
# Initialize weights and apply final... | BigBirdForSequenceClassification |
python | psf__requests | src/requests/auth.py | {
"start": 2220,
"end": 2851
} | class ____(AuthBase):
"""Attaches HTTP Basic Authentication to the given Request object."""
def __init__(self, username, password):
self.username = username
self.password = password
def __eq__(self, other):
return all(
[
self.username == getattr(other, "... | HTTPBasicAuth |
python | allegroai__clearml | clearml/backend_api/services/v2_9/tasks.py | {
"start": 41137,
"end": 63728
} | class ____(NonStrictDataModel):
"""
:param id: Task id
:type id: str
:param name: Task Name
:type name: str
:param user: Associated user id
:type user: str
:param company: Company ID
:type company: str
:param type: Type of task. Values: 'training', 'testing'
:type type: TaskT... | Task |
python | sympy__sympy | sympy/matrices/expressions/matexpr.py | {
"start": 20833,
"end": 23055
} | class ____(MatrixExpr):
"""Symbolic representation of a Matrix object
Creates a SymPy Symbol to represent a Matrix. This matrix has a shape and
can be included in Matrix Expressions
Examples
========
>>> from sympy import MatrixSymbol, Identity
>>> A = MatrixSymbol('A', 3, 4) # A 3 by 4 M... | MatrixSymbol |
python | ray-project__ray | python/ray/serve/schema.py | {
"start": 46264,
"end": 50920
} | class ____(BaseModel, extra=Extra.forbid):
"""
Serve metadata with system-level info and details on all applications deployed to
the Ray cluster.
This is the response JSON schema for v2 REST API `GET /api/serve/applications`.
"""
controller_info: ServeActorDetails = Field(
description=... | ServeInstanceDetails |
python | sympy__sympy | sympy/integrals/heurisch.py | {
"start": 6832,
"end": 7968
} | class ____:
"""
Derivatives of Bessel functions of orders n and n-1
in terms of each other.
See the docstring of DiffCache.
"""
def __init__(self):
self.table = {}
self.n = Dummy('n')
self.z = Dummy('z')
self._create_table()
def _create_table(t):
ta... | BesselTable |
python | modin-project__modin | modin/experimental/xgboost/utils.py | {
"start": 2494,
"end": 3478
} | class ____:
"""
Context to connect a worker to a rabit tracker.
Parameters
----------
actor_rank : int
Rank of actor, connected to this context.
args : list
List with environment variables for Rabit Tracker.
"""
def __init__(self, actor_rank, args):
self.args = ... | RabitContext |
python | huggingface__transformers | src/transformers/models/esm/modeling_esm.py | {
"start": 17010,
"end": 17475
} | class ____(nn.Module):
def __init__(self, config):
super().__init__()
self.dense = nn.Linear(config.intermediate_size, config.hidden_size)
self.dropout = nn.Dropout(config.hidden_dropout_prob)
def forward(self, hidden_states, input_tensor):
hidden_states = self.dense(hidden_stat... | EsmOutput |
python | getsentry__sentry | src/sentry/grouping/enhancer/parser.py | {
"start": 1527,
"end": 5860
} | class ____(NodeVisitor[list[EnhancementRule]]):
visit_comment = visit_empty = lambda *a: None
unwrapped_exceptions = (InvalidEnhancerConfig,)
def visit_enhancements(
self, node: Node, children: list[EnhancementRule | None]
) -> list[EnhancementRule]:
rules = []
for child in chil... | EnhancementsVisitor |
python | tensorflow__tensorflow | tensorflow/python/framework/ops.py | {
"start": 228716,
"end": 232549
} | class ____(enum.Enum):
OFF: int = 0
LEGACY: int = 1
SAFE: int = 2
ALL: int = 3
_dtype_conversion_mode: PromoMode = PromoMode.OFF
def get_dtype_conversion_mode() -> PromoMode:
return _dtype_conversion_mode
# TODO(b/289395872): Make sure all WeakTensor construction is guarded with this
# check.
def is_aut... | PromoMode |
python | ansible__ansible | hacking/create-bulk-issues.py | {
"start": 3257,
"end": 3936
} | class ____:
title: str
summary: str
component: str
labels: list[str] | None = None
def create_issue(self, project: str) -> Issue:
body = f'''
### Summary
{self.summary}
### Issue Type
Bug Report
### Component Name
`{self.component}`
### Ansible Version
{MAJOR_MINOR_VERSION}
### Conf... | BugReport |
python | huggingface__transformers | src/transformers/models/glm4_moe/modeling_glm4_moe.py | {
"start": 22403,
"end": 25633
} | class ____(Glm4MoePreTrainedModel):
_keys_to_ignore_on_load_unexpected = [r"model\.layers\.92.*", r"model\.layers\.46.*"]
def __init__(self, config: Glm4MoeConfig):
super().__init__(config)
self.padding_idx = config.pad_token_id
self.vocab_size = config.vocab_size
self.embed_to... | Glm4MoeModel |
python | Lightning-AI__lightning | src/lightning/pytorch/strategies/launchers/xla.py | {
"start": 1257,
"end": 7510
} | class ____(_MultiProcessingLauncher):
r"""Launches processes that run a given function in parallel on XLA supported hardware, and joins them all at the
end.
The main process in which this launcher is invoked creates N so-called worker processes (using the
`torch_xla` :func:`xmp.spawn`) that run the giv... | _XLALauncher |
python | spyder-ide__spyder | spyder/plugins/remoteclient/api/manager/base.py | {
"start": 1003,
"end": 1660
} | class ____(logging.Handler):
def __init__(self, client, *args, **kwargs):
self._client = client
super().__init__(*args, **kwargs)
log_format = "%(message)s — %(asctime)s"
formatter = logging.Formatter(log_format, datefmt="%H:%M:%S %d/%m/%Y")
self.setFormatter(formatter... | SpyderRemoteAPILoggerHandler |
python | readthedocs__readthedocs.org | readthedocs/core/unresolver.py | {
"start": 1362,
"end": 1571
} | class ____(UnresolverError):
def __init__(self, project, version_slug, filename):
self.project = project
self.version_slug = version_slug
self.filename = filename
| VersionNotFoundError |
python | walkccc__LeetCode | solutions/7. Reverse Integer/7.py | {
"start": 0,
"end": 232
} | class ____:
def reverse(self, x: int) -> int:
ans = 0
sign = -1 if x < 0 else 1
x *= sign
while x:
ans = ans * 10 + x % 10
x //= 10
return 0 if ans < -2**31 or ans > 2**31 - 1 else sign * ans
| Solution |
python | apache__airflow | providers/openlineage/src/airflow/providers/openlineage/extractors/base.py | {
"start": 1707,
"end": 2055
} | class ____(Generic[DatasetSubclass, BaseFacetSubclass]):
"""Structure returned from lineage extraction."""
inputs: list[DatasetSubclass] = Factory(list)
outputs: list[DatasetSubclass] = Factory(list)
run_facets: dict[str, BaseFacetSubclass] = Factory(dict)
job_facets: dict[str, BaseFacetSubclass] =... | OperatorLineage |
python | getsentry__sentry | tests/sentry/releases/endpoints/test_release_deploys.py | {
"start": 4902,
"end": 16915
} | class ____(APITestCase):
def setUp(self) -> None:
user = self.create_user(is_staff=False, is_superuser=False)
self.org = self.create_organization()
self.org.save()
team = self.create_team(organization=self.org)
self.project = self.create_project(name="foo", organization=self... | ReleaseDeploysCreateTest |
python | huggingface__transformers | src/transformers/models/llava_onevision/modular_llava_onevision.py | {
"start": 1922,
"end": 9127
} | class ____(LlavaNextImageProcessorFast):
resample = PILImageResampling.BICUBIC
image_mean = OPENAI_CLIP_MEAN
image_std = OPENAI_CLIP_STD
size = {"height": 384, "width": 384}
crop_size = None
default_to_square = False
do_resize = True
do_center_crop = None
do_rescale = True
do_nor... | LlavaOnevisionImageProcessorFast |
python | huggingface__transformers | src/transformers/models/longformer/modeling_longformer.py | {
"start": 63096,
"end": 63790
} | class ____(nn.Module):
"""Longformer Head for masked language modeling."""
def __init__(self, config):
super().__init__()
self.dense = nn.Linear(config.hidden_size, config.hidden_size)
self.layer_norm = nn.LayerNorm(config.hidden_size, eps=config.layer_norm_eps)
self.decoder = ... | LongformerLMHead |
python | tensorflow__tensorflow | tensorflow/python/tpu/tpu_embedding_v2_utils.py | {
"start": 61254,
"end": 67942
} | class ____:
"""Configuration data for one embedding feature.
This class holds the configuration data for a single embedding feature. The
main use is to assign features to `tf.tpu.experimental.embedding.TableConfig`s
via the table parameter:
```python
table_config_one = tf.tpu.experimental.embedding.TableC... | FeatureConfig |
python | sqlalchemy__sqlalchemy | test/orm/test_eager_relations.py | {
"start": 230169,
"end": 232040
} | class ____(_fixtures.FixtureTest):
"""POC test for both #7153 and #7154"""
run_inserts = "once"
run_deletes = None
__sparse_driver_backend__ = True
@classmethod
def setup_mappers(cls):
cls._setup_stock_mapping()
def test_limited_eager_w_null(self):
User = self.classes.Use... | SingletonConstantSubqTest |
python | altair-viz__altair | altair/vegalite/v6/schema/core.py | {
"start": 1180576,
"end": 1180789
} | class ____(ColorScheme):
"""SequentialSingleHue schema wrapper."""
_schema = {"$ref": "#/definitions/SequentialSingleHue"}
def __init__(self, *args):
super().__init__(*args)
| SequentialSingleHue |
python | sqlalchemy__sqlalchemy | test/sql/test_compiler.py | {
"start": 7003,
"end": 132891
} | class ____(fixtures.TestBase, AssertsCompiledSQL):
__dialect__ = "default"
def test_compiler_column_element_is_slots(self):
class SomeColThing(CompilerColumnElement):
__slots__ = ("name",)
__visit_name__ = "some_col_thing"
def __init__(self, name):
s... | SelectTest |
python | bokeh__bokeh | tests/unit/bokeh/embed/test_bundle.py | {
"start": 3104,
"end": 3522
} | class ____:
def test_no_objs_all_resources_bundled(self) -> None:
b = beb.bundle_for_objs_and_resources(None, ABSOLUTE)
assert any('bokeh-widgets' in f.url for f in b.js_files)
assert any('bokeh-gl' in f.url for f in b.js_files)
assert any('bokeh-tables' in f.url for f in b.js_files... | Test_bundle_for_objs_and_resources |
python | getsentry__sentry | src/sentry/analytics/events/user_removed.py | {
"start": 69,
"end": 288
} | class ____(analytics.Event):
user_id: int
actor_id: int | None = None
deletion_request_datetime: str | None = None
deletion_datetime: str | None = None
analytics.register(UserRemovedEvent)
| UserRemovedEvent |
python | neetcode-gh__leetcode | python/1523-count-odd-numbers-in-an-interval-range.py | {
"start": 0,
"end": 168
} | class ____:
def countOdds(self, low: int, high: int) -> int:
if low%2!=0 or high%2!=0:
return (high-low)//2 +1
return (high-low)//2
| Solution |
python | viewflow__viewflow | viewflow/workflow/flow/views/filters.py | {
"start": 2809,
"end": 3019
} | class ____(FilterSet):
created = DateRangeFilter()
finished = NullDateRangeFilter()
class Meta:
model = Process
fields = ["status", "created", "finished"]
| DashboardProcessListViewFilter |
python | run-llama__llama_index | llama-index-integrations/vector_stores/llama-index-vector-stores-solr/llama_index/vector_stores/solr/client/responses.py | {
"start": 1646,
"end": 2786
} | class ____(BaseModel):
"""
Solr response body.
See `Solr documentation
<https://solr.apache.org/guide/solr/latest/query-guide/response-writers.html#json-response-writer>`_
for details.
"""
docs: list[dict[str, Any]]
"""Documents returned by Solr for the query.
Each document is a d... | SolrSelectResponseBody |
python | python-visualization__folium | folium/plugins/fullscreen.py | {
"start": 161,
"end": 1930
} | class ____(JSCSSMixin, MacroElement):
"""
Adds a fullscreen button to your map.
Parameters
----------
position : str
change the position of the button can be:
'topleft', 'topright', 'bottomright' or 'bottomleft'
default: 'topleft'
title : str
change the title of ... | Fullscreen |
python | PyCQA__pylint | tests/functional/u/unsupported/unsupported_version_for_final.py | {
"start": 374,
"end": 611
} | class ____:
@final # [using-final-decorator-in-unsupported-version]
@final # [using-final-decorator-in-unsupported-version]
def my_method(self):
pass
@myfinal # [using-final-decorator-in-unsupported-version]
| MyClass1 |
python | apache__airflow | providers/fab/tests/unit/fab/auth_manager/security_manager/test_override.py | {
"start": 1220,
"end": 9092
} | class ____:
def test_load_user(self):
sm = EmptySecurityManager()
sm.get_user_by_id = Mock()
sm.load_user("123")
sm.get_user_by_id.assert_called_once_with(123)
@mock.patch("airflow.providers.fab.auth_manager.security_manager.override.g", spec={})
def test_load_user_jwt(sel... | TestFabAirflowSecurityManagerOverride |
python | django__django | tests/prefetch_related/tests.py | {
"start": 68031,
"end": 68864
} | class ____(TestCase):
@classmethod
def setUpTestData(cls):
LessonEntry.objects.bulk_create(
LessonEntry(id=id_, name1=name1, name2=name2)
for id_, name1, name2 in [
(1, "einfach", "simple"),
(2, "schwierig", "difficult"),
]
)
... | Ticket19607Tests |
python | scipy__scipy | scipy/special/_generate_pyx.py | {
"start": 16388,
"end": 28766
} | class ____(Func):
"""
Ufunc signature, restricted format suitable for special functions.
Parameters
----------
name
Name of the ufunc to create
signature
String of form 'func: fff*ff->f, func2: ddd->*i' describing
the C-level functions and types of their input arguments
... | Ufunc |
python | huggingface__transformers | src/transformers/models/sam3_tracker_video/modeling_sam3_tracker_video.py | {
"start": 69341,
"end": 134190
} | class ____(Sam3TrackerVideoPreTrainedModel):
input_modalities = ("video", "text")
_can_record_outputs = {"mask_decoder_attentions": OutputRecorder(Sam3TrackerVideoTwoWayAttentionBlock, index=2)}
_keys_to_ignore_on_load_unexpected = [r"^detector_model."]
_tied_weights_keys = {}
_keys_to_ignore_on_loa... | Sam3TrackerVideoModel |
python | pypa__pip | tests/unit/test_options.py | {
"start": 14799,
"end": 19673
} | class ____(AddFakeCommandMixin):
# the reason to specifically test general options is due to the
# extra processing they receive, and the number of bugs we've had
def test_cache_dir__default(self) -> None:
# FakeCommand intentionally returns the wrong type.
options, args = cast(tuple[Values... | TestGeneralOptions |
python | pennersr__django-allauth | allauth/socialaccount/providers/trainingpeaks/provider.py | {
"start": 418,
"end": 1478
} | class ____(OAuth2Provider):
id = "trainingpeaks"
name = "TrainingPeaks"
account_class = TrainingPeaksAccount
oauth2_adapter_class = TrainingPeaksOAuth2Adapter
def extract_uid(self, data):
return str(data["Id"])
def extract_common_fields(self, data):
extra_common = super(Trainin... | TrainingPeaksProvider |
python | doocs__leetcode | solution/1200-1299/1262.Greatest Sum Divisible by Three/Solution.py | {
"start": 0,
"end": 323
} | class ____:
def maxSumDivThree(self, nums: List[int]) -> int:
n = len(nums)
f = [[-inf] * 3 for _ in range(n + 1)]
f[0][0] = 0
for i, x in enumerate(nums, 1):
for j in range(3):
f[i][j] = max(f[i - 1][j], f[i - 1][(j - x) % 3] + x)
return f[n][0]
| Solution |
python | getsentry__sentry | src/sentry/codecov/endpoints/repositories/repositories.py | {
"start": 962,
"end": 3640
} | class ____(CodecovEndpoint):
owner = ApiOwner.CODECOV
publish_status = {
"GET": ApiPublishStatus.PUBLIC,
}
@extend_schema(
operation_id="Retrieves list of repositories for a given owner",
parameters=[
GlobalParams.ORG_ID_OR_SLUG,
PreventParams.OWNER,
... | RepositoriesEndpoint |
python | spyder-ide__spyder | spyder/plugins/completion/providers/languageserver/providers/document.py | {
"start": 730,
"end": 12570
} | class ____:
def register_file(self, filename, codeeditor):
filename = path_as_uri(filename)
if filename not in self.watched_files:
self.watched_files[filename] = []
self.watched_files[filename].append(codeeditor)
@handles(CompletionRequestTypes.DOCUMENT_PUBLISH_DIAGNOSTICS)
... | DocumentProvider |
python | PrefectHQ__prefect | src/prefect/utilities/visualization.py | {
"start": 573,
"end": 2663
} | class ____(Exception):
pass
def get_task_viz_tracker() -> Optional["TaskVizTracker"]:
return TaskVizTrackerState.current
@overload
def track_viz_task(
is_async: Literal[True],
task_name: str,
parameters: dict[str, Any],
viz_return_value: Optional[Any] = None,
) -> Coroutine[Any, Any, Any]: .... | GraphvizExecutableNotFoundError |
python | getsentry__sentry | tests/sentry_plugins/slack/test_plugin.py | {
"start": 502,
"end": 6382
} | class ____(PluginTestCase):
@cached_property
def plugin(self) -> SlackPlugin:
return SlackPlugin()
@responses.activate
def test_simple_notification(self) -> None:
responses.add("POST", "http://example.com/slack")
self.plugin.set_option("webhook", "http://example.com/slack", self... | SlackPluginTest |
python | automl__auto-sklearn | autosklearn/ensembles/singlebest_ensemble.py | {
"start": 503,
"end": 5339
} | class ____(AbstractEnsemble):
"""Ensemble consisting of a single model.
Parameters
----------
task_type: int
An identifier indicating which task is being performed.
metrics: Sequence[Scorer] | Scorer
The metrics used to evaluate the models.
backend : Backend
Gives acce... | AbstractSingleModelEnsemble |
python | pypa__pipenv | pipenv/patched/pip/_internal/models/direct_url.py | {
"start": 4435,
"end": 6576
} | class ____:
url: str
info: InfoType
subdirectory: Optional[str] = None
def _remove_auth_from_netloc(self, netloc: str) -> str:
if "@" not in netloc:
return netloc
user_pass, netloc_no_user_pass = netloc.split("@", 1)
if (
isinstance(self.info, VcsInfo)
... | DirectUrl |
python | PrefectHQ__prefect | src/prefect/client/schemas/actions.py | {
"start": 2369,
"end": 2616
} | class ____(ActionBaseModel):
"""Data used by the Prefect REST API to update a flow."""
tags: list[str] = Field(
default_factory=list,
description="A list of flow tags",
examples=[["tag-1", "tag-2"]],
)
| FlowUpdate |
python | giampaolo__psutil | tests/test_linux.py | {
"start": 27616,
"end": 34147
} | class ____(PsutilTestCase):
@pytest.mark.skipif(not HAS_CPU_FREQ, reason="not supported")
@pytest.mark.skipif(
AARCH64, reason="aarch64 does not always expose frequency"
)
def test_emulate_use_second_file(self):
# https://github.com/giampaolo/psutil/issues/981
def path_exists_moc... | TestSystemCPUFrequency |
python | networkx__networkx | networkx/algorithms/assortativity/tests/test_connectivity.py | {
"start": 75,
"end": 4978
} | class ____:
def test_degree_p4(self):
G = nx.path_graph(4)
answer = {1: 2.0, 2: 1.5}
nd = nx.average_degree_connectivity(G)
assert nd == answer
D = G.to_directed()
answer = {2: 2.0, 4: 1.5}
nd = nx.average_degree_connectivity(D)
assert nd == answer
... | TestNeighborConnectivity |
python | python-pillow__Pillow | src/PIL/Image.py | {
"start": 3350,
"end": 3560
} | class ____(IntEnum):
FLIP_LEFT_RIGHT = 0
FLIP_TOP_BOTTOM = 1
ROTATE_90 = 2
ROTATE_180 = 3
ROTATE_270 = 4
TRANSPOSE = 5
TRANSVERSE = 6
# transforms (also defined in Imaging.h)
| Transpose |
python | kamyu104__LeetCode-Solutions | Python/count-largest-group.py | {
"start": 54,
"end": 403
} | class ____(object):
def countLargestGroup(self, n):
"""
:type n: int
:rtype: int
"""
count = collections.Counter()
for x in xrange(1, n+1):
count[sum(map(int, str(x)))] += 1
max_count = max(count.itervalues())
return sum(v == max_count for ... | Solution |
python | openai__openai-python | src/openai/types/beta/realtime/session_updated_event.py | {
"start": 226,
"end": 489
} | class ____(BaseModel):
event_id: str
"""The unique ID of the server event."""
session: Session
"""Realtime session object configuration."""
type: Literal["session.updated"]
"""The event type, must be `session.updated`."""
| SessionUpdatedEvent |
python | ray-project__ray | python/ray/experimental/channel/common.py | {
"start": 3918,
"end": 5625
} | class ____:
serialization_context = _SerializationContext()
_torch_available: Optional[bool] = None
_torch_device: Optional["torch.device"] = None
_current_stream: Optional["torch.cuda.Stream"] = None
def __init__(self):
# Used for the torch.Tensor accelerator transport.
self.commun... | ChannelContext |
python | tensorflow__tensorflow | tensorflow/python/kernel_tests/data_structures/lookup_ops_test.py | {
"start": 107639,
"end": 112519
} | class ____(test.TestCase):
def _createVocabFile(self, basename, values=("brain", "salad", "surgery")):
vocabulary_file = os.path.join(self.get_temp_dir(), basename)
with open(vocabulary_file, "w") as f:
f.write("\n".join(values) + "\n")
return vocabulary_file
def test_index_to_string_table(self)... | IndexToStringTableFromFileTest |
python | microsoft__pyright | packages/pyright-internal/src/tests/samples/typeNarrowingIsNone1.py | {
"start": 1405,
"end": 2040
} | class ____(Protocol):
def __bool__(self) -> Literal[False]: ...
def func7(x: NoneProto | None):
if x is None:
reveal_type(x, expected_text="None")
else:
reveal_type(x, expected_text="NoneProto")
_T3 = TypeVar("_T3", bound=None | int)
def func8(x: _T3) -> _T3:
if x is None:
... | NoneProto |
python | encode__django-rest-framework | tests/test_fields.py | {
"start": 71630,
"end": 72377
} | class ____(FieldValues):
"""
Values for `FileField`.
"""
valid_inputs = [
(MockFile(name='example', size=10), MockFile(name='example', size=10))
]
invalid_inputs = [
('invalid', ['The submitted data was not a file. Check the encoding type on the form.']),
(MockFile(name='... | TestFileField |
python | django__django | django/contrib/postgres/fields/array.py | {
"start": 10330,
"end": 10429
} | class ____(ArrayRHSMixin, lookups.ContainedBy):
pass
@ArrayField.register_lookup
| ArrayContainedBy |
python | huggingface__transformers | tests/models/vision_text_dual_encoder/test_modeling_vision_text_dual_encoder.py | {
"start": 8612,
"end": 10725
} | class ____(VisionTextDualEncoderMixin, unittest.TestCase):
def get_pretrained_model_and_inputs(self):
model = VisionTextDualEncoderModel.from_vision_text_pretrained(
"hf-internal-testing/tiny-random-vit", "hf-internal-testing/tiny-bert"
)
batch_size = 13
pixel_values = fl... | ViTBertModelTest |
python | scikit-learn__scikit-learn | sklearn/cross_decomposition/_pls.py | {
"start": 30685,
"end": 37008
} | class ____(ClassNamePrefixFeaturesOutMixin, TransformerMixin, BaseEstimator):
"""Partial Least Square SVD.
This transformer simply performs a SVD on the cross-covariance matrix
`X'y`. It is able to project both the training data `X` and the targets
`y`. The training data `X` is projected on the left si... | PLSSVD |
python | networkx__networkx | networkx/algorithms/tests/test_summarization.py | {
"start": 4884,
"end": 7970
} | class ____:
def build_original_graph(self):
"""
Builds graph shown in the original research paper
"""
original_matrix = [
("1", "CB"),
("2", "ABC"),
("3", ["A", "B", "6"]),
("4", "ABC"),
("5", "AB"),
("6", ["5"])... | TestUnDirectedDedensification |
python | numba__numba | numba/tests/test_ir_inlining.py | {
"start": 1330,
"end": 4686
} | class ____(TestCase):
_DEBUG = False
inline_opt_as_bool = {'always': True, 'never': False}
# --------------------------------------------------------------------------
# Example cost model
def sentinel_17_cost_model(self, func_ir):
# sentinel 17 cost model, this is a fake cost model that... | InliningBase |
python | dask__distributed | distributed/deploy/old_ssh.py | {
"start": 10080,
"end": 15189
} | class ____:
def __init__(
self,
scheduler_addr,
scheduler_port,
worker_addrs,
nthreads=0,
n_workers=None,
ssh_username=None,
ssh_port=22,
ssh_private_key=None,
nohost=False,
logdir=None,
remote_python=None,
memor... | SSHCluster |
python | django__django | tests/update/models.py | {
"start": 876,
"end": 1181
} | class ____(models.Model):
foo = models.ForeignKey(Foo, models.CASCADE, to_field="target")
o2o_foo = models.OneToOneField(
Foo, models.CASCADE, related_name="o2o_bar", null=True
)
m2m_foo = models.ManyToManyField(Foo, related_name="m2m_foo")
x = models.IntegerField(default=0)
| Bar |
python | kamyu104__LeetCode-Solutions | Python/longest-palindromic-subsequence.py | {
"start": 31,
"end": 607
} | class ____(object):
def longestPalindromeSubseq(self, s):
"""
:type s: str
:rtype: int
"""
if s == s[::-1]: # optional, to optimize special case
return len(s)
dp = [[1] * len(s) for _ in xrange(2)]
for i in reversed(xrange(len(s))):
f... | Solution |
python | huggingface__transformers | src/transformers/models/falcon/modeling_falcon.py | {
"start": 4414,
"end": 9756
} | class ____(nn.Module):
inv_freq: torch.Tensor # fix linting for `register_buffer`
def __init__(self, config: FalconConfig, device=None):
super().__init__()
self.max_seq_len_cached = config.max_position_embeddings
self.original_max_seq_len = config.max_position_embeddings
self.... | FalconRotaryEmbedding |
python | pennersr__django-allauth | allauth/socialaccount/views.py | {
"start": 883,
"end": 2454
} | class ____(
RedirectAuthenticatedUserMixin,
CloseableSignupMixin,
AjaxCapableProcessFormViewMixin,
FormView,
):
form_class = SignupForm
template_name = "socialaccount/signup." + account_settings.TEMPLATE_EXTENSION
def get_form_class(self):
return get_form_class(app_settings.FORMS, "... | SignupView |
python | tensorflow__tensorflow | tensorflow/python/data/experimental/benchmarks/csv_dataset_benchmark.py | {
"start": 1115,
"end": 4788
} | class ____(benchmark_base.DatasetBenchmarkBase):
"""Benchmarks for `tf.data.experimental.CsvDataset`."""
FLOAT_VAL = '1.23456E12'
STR_VAL = string.ascii_letters * 10
def _set_up(self, str_val):
# Since this isn't test.TestCase, have to manually create a test dir
gfile.MakeDirs(googletest.GetTempDir())... | CsvDatasetBenchmark |
python | wandb__wandb | wandb/automations/_utils.py | {
"start": 1990,
"end": 2465
} | class ____(Protocol):
id: str
def extract_id(obj: HasId | str) -> str:
return obj.id if hasattr(obj, "id") else obj
# ---------------------------------------------------------------------------
ACTION_CONFIG_KEYS: dict[ActionType, str] = {
ActionType.NOTIFICATION: "notification_action_input",
Action... | HasId |
python | pandas-dev__pandas | pandas/tests/arrays/categorical/test_indexing.py | {
"start": 3851,
"end": 10237
} | class ____:
def test_getitem_slice(self):
cat = Categorical(["a", "b", "c", "d", "a", "b", "c"])
sliced = cat[3]
assert sliced == "d"
sliced = cat[3:5]
expected = Categorical(["d", "a"], categories=["a", "b", "c", "d"])
tm.assert_categorical_equal(sliced, expected)
... | TestCategoricalIndexing |
python | readthedocs__readthedocs.org | readthedocs/projects/tasks/search.py | {
"start": 4455,
"end": 13456
} | class ____(Indexer):
def __init__(self, version: Version, build: Build):
self.version = version
self.build = build
self._hashes = {}
def process(self, html_file: HTMLFile, sync_id: int):
self._hashes[html_file.path] = html_file.processed_json["main_content_hash"]
def collec... | FileManifestIndexer |
python | plotly__plotly.py | plotly/graph_objs/scattergeo/hoverlabel/_font.py | {
"start": 233,
"end": 17158
} | class ____(_BaseTraceHierarchyType):
_parent_path_str = "scattergeo.hoverlabel"
_path_str = "scattergeo.hoverlabel.font"
_valid_props = {
"color",
"colorsrc",
"family",
"familysrc",
"lineposition",
"linepositionsrc",
"shadow",
"shadowsrc",
... | Font |
python | sqlalchemy__sqlalchemy | lib/sqlalchemy/sql/ddl.py | {
"start": 15274,
"end": 15422
} | class ____(_DropBase["Table"]):
def to_metadata(self, metadata: MetaData, table: Table) -> Self:
raise NotImplementedError()
| TableDropDDL |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-github/source_github/github_schema.py | {
"start": 1324564,
"end": 1324727
} | class ____(sgqlc.types.Type, ProjectV2FieldCommon, Node):
"""A field inside a project."""
__schema__ = github_schema
__field_names__ = ()
| ProjectV2Field |
python | getlogbook__logbook | benchmark/bench_noop_filter_on_handler.py | {
"start": 179,
"end": 490
} | class ____(StreamHandler):
def should_handle(self, record):
return False
def run():
out = StringIO()
with NullHandler():
with CustomStreamHandler(out):
for _ in range(500):
log.warning("this is not handled")
assert not out.getvalue()
| CustomStreamHandler |
python | spack__spack | lib/spack/spack/util/typing.py | {
"start": 206,
"end": 764
} | class ____(Protocol):
"""Objects that support =, !=, <, <=, >, and >=."""
def __eq__(self, other: Any) -> bool:
raise NotImplementedError
def __ne__(self, other: Any) -> bool:
raise NotImplementedError
def __lt__(self, other: Any) -> bool:
raise NotImplementedError
def __... | SupportsRichComparison |
python | Textualize__textual | tests/toggles/test_radiobutton.py | {
"start": 121,
"end": 1955
} | class ____(App[None]):
def __init__(self):
super().__init__()
self.events_received = []
def compose(self) -> ComposeResult:
yield RadioButton("Test", id="rb1")
yield RadioButton(id="rb2")
yield RadioButton(value=True, id="rb3")
def on_radio_button_changed(self, even... | RadioButtonApp |
python | spyder-ide__spyder | spyder/plugins/variableexplorer/widgets/importwizard.py | {
"start": 8798,
"end": 11704
} | class ____(QAbstractTableModel):
"""Import wizard preview table model"""
def __init__(self, data=None, parent=None):
QAbstractTableModel.__init__(self, parent)
data = [] if data is None else data
self._data = data
def rowCount(self, parent=QModelIndex()):
"""Return row coun... | PreviewTableModel |
python | graphql-python__graphene | graphene/utils/orderedtype.py | {
"start": 55,
"end": 1221
} | class ____:
creation_counter = 1
def __init__(self, _creation_counter=None):
self.creation_counter = _creation_counter or self.gen_counter()
@staticmethod
def gen_counter():
counter = OrderedType.creation_counter
OrderedType.creation_counter += 1
return counter
def... | OrderedType |
python | getsentry__sentry | src/sentry/integrations/web/integration_extension_configuration.py | {
"start": 886,
"end": 1770
} | class ____(IntegrationPipeline):
def _dialog_success(self, _org_integration):
assert self.organization, "Organization must exist to get slug"
org_slug = self.organization.slug
assert isinstance(
self.provider, IntegrationProvider
), "Must be an IntegrationProvider to get... | ExternalIntegrationPipeline |
python | pikepdf__pikepdf | tests/test_object.py | {
"start": 7114,
"end": 8860
} | class ____:
def test_name_equality(self):
# Who needs transitivity? :P
# While this is less than ideal ('/Foo' != b'/Foo') it allows for slightly
# sloppy tests like if colorspace == '/Indexed' without requiring
# Name('/Indexed') everywhere
assert Name('/Foo') == '/Foo'
... | TestName |
python | astropy__astropy | astropy/coordinates/representation/base.py | {
"start": 1384,
"end": 4518
} | class ____(MixinInfo):
"""
Container for meta information like name, description, format. This is
required when the object is used as a mixin column within a table, but can
be used as a general way to store meta information.
"""
attrs_from_parent = {"unit"} # Indicates unit is read-only
_... | BaseRepresentationOrDifferentialInfo |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-github/source_github/streams.py | {
"start": 1887,
"end": 10297
} | class ____(HttpStream, ABC):
primary_key = "id"
# Detect streams with high API load
large_stream = False
max_retries: int = 5
stream_base_params = {}
def __init__(self, api_url: str = "https://api.github.com", access_token_type: str = "", **kwargs):
if kwargs.get("authenticator"):
... | GithubStreamABC |
python | kubernetes-client__python | kubernetes/client/models/v1_watch_event.py | {
"start": 383,
"end": 4740
} | 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... | V1WatchEvent |
python | tensorflow__tensorflow | tensorflow/python/keras/optimizer_v2/optimizer_v2.py | {
"start": 3352,
"end": 4028
} | class ____(object):
def __init__(self, *args, **kwargs):
pass
def __enter__(self):
pass
def __exit__(self, type_arg, value_arg, traceback_arg):
return False # False values do not suppress exceptions
def name_scope_only_in_function_or_graph(name):
"""Internal-only entry point for `name_scope*`.... | NullContextmanager |
python | ansible__ansible | lib/ansible/modules/service_facts.py | {
"start": 14155,
"end": 15438
} | class ____(BaseService):
def gather_services(self):
services = {}
if platform.system() == 'AIX':
lssrc_path = self.module.get_bin_path("lssrc")
if lssrc_path:
rc, stdout, stderr = self.module.run_command("%s -a" % lssrc_path)
if rc != 0:
... | AIXScanService |
python | getsentry__sentry | tests/sentry/integrations/source_code_management/test_commit_context.py | {
"start": 1133,
"end": 8952
} | class ____(TestCase):
def setUp(self) -> None:
super().setUp()
self.integration = MockCommitContextIntegration()
self.repo = Repository.objects.create(
organization_id=self.organization.id,
name="example/repo",
)
self.source_line = SourceLineInfo(
... | TestCommitContextIntegrationSLO |
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