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 | catalyst-team__catalyst | catalyst/contrib/losses/focal.py | {
"start": 103,
"end": 1625
} | class ____(_Loss):
"""Compute focal loss for binary classification problem.
It has been proposed in `Focal Loss for Dense Object Detection`_ paper.
.. _Focal Loss for Dense Object Detection: https://arxiv.org/abs/1708.02002
"""
def __init__(
self,
ignore: int = None,
reduc... | FocalLossBinary |
python | getsentry__sentry | tests/sentry/api/endpoints/test_accept_project_transfer.py | {
"start": 840,
"end": 7519
} | class ____(APITestCase):
def setUp(self) -> None:
super().setUp()
self.owner = self.create_user(email="example@example.com", is_superuser=False)
self.from_organization = self.create_organization(owner=self.owner)
self.to_organization = self.create_organization(owner=self.owner)
... | AcceptTransferProjectTest |
python | keras-team__keras | keras/src/backend/tensorflow/name_scope_test.py | {
"start": 123,
"end": 1624
} | class ____(TestCase):
def test_stacking(self):
self.assertEqual(tf.Variable(0, name="x").name, "x:0")
with name_scope("outer") as outer:
self.assertEqual(outer.name, "outer")
self.assertEqual(tf.Variable(0, name="x").name, "outer/x:0")
with name_scope("middle") as... | TFNameScopeTest |
python | pydantic__pydantic | pydantic/v1/env_settings.py | {
"start": 11232,
"end": 14105
} | class ____:
__slots__ = ('secrets_dir',)
def __init__(self, secrets_dir: Optional[StrPath]):
self.secrets_dir: Optional[StrPath] = secrets_dir
def __call__(self, settings: BaseSettings) -> Dict[str, Any]:
"""
Build fields from "secrets" files.
"""
secrets: Dict[str,... | SecretsSettingsSource |
python | neetcode-gh__leetcode | python/0217-contains-duplicate.py | {
"start": 0,
"end": 227
} | class ____:
def containsDuplicate(self, nums: List[int]) -> bool:
hashset = set()
for n in nums:
if n in hashset:
return True
hashset.add(n)
return False
| Solution |
python | huggingface__transformers | src/transformers/models/aria/modular_aria.py | {
"start": 54104,
"end": 54583
} | class ____(LlamaPreTrainedModel):
config: AriaConfig
base_model_prefix = "model"
_can_compile_fullgraph = False # MoE models don't work with torch.compile (dynamic slicing)
_supports_attention_backend = True
@torch.no_grad()
def _init_weights(self, module):
PreTrainedModel._init_weight... | AriaPreTrainedModel |
python | pyca__cryptography | src/cryptography/hazmat/primitives/hashes.py | {
"start": 3787,
"end": 4263
} | class ____(HashAlgorithm, ExtendableOutputFunction):
name = "shake256"
block_size = None
def __init__(self, digest_size: int):
if not isinstance(digest_size, int):
raise TypeError("digest_size must be an integer")
if digest_size < 1:
raise ValueError("digest_size mu... | SHAKE256 |
python | tensorflow__tensorflow | tensorflow/python/kernel_tests/array_ops/batchtospace_op_test.py | {
"start": 1315,
"end": 1454
} | class ____(object):
@staticmethod
def batch_to_space(*args, **kwargs):
return array_ops.batch_to_space(*args, **kwargs)
| PythonOpImpl |
python | getsentry__sentry | src/sentry/sentry_metrics/indexer/limiters/writes.py | {
"start": 2319,
"end": 3039
} | class ____:
_writes_limiter: WritesLimiter
_namespace: str
_requests: Sequence[RequestedQuota]
_grants: Sequence[GrantedQuota]
_timestamp: Timestamp
accepted_keys: UseCaseKeyCollection
dropped_strings: Sequence[DroppedString]
def __enter__(self) -> RateLimitState:
return self
... | RateLimitState |
python | getsentry__sentry | tests/sentry/tasks/test_process_buffer.py | {
"start": 258,
"end": 960
} | class ____(TestCase):
def test_constraints_model_name(self) -> None:
with pytest.raises(AssertionError) as err:
process_incr(model_name="group", columns={"times_seen": 1}, filters={"pk": 1})
assert "model_name must be in form" in str(err)
@mock.patch("sentry.buffer.backend.process")... | ProcessIncrTest |
python | great-expectations__great_expectations | great_expectations/expectations/metrics/column_map_metrics/column_values_match_like_pattern.py | {
"start": 440,
"end": 1081
} | class ____(ColumnMapMetricProvider):
condition_metric_name = "column_values.match_like_pattern"
condition_value_keys = ("like_pattern",)
@column_condition_partial(engine=SqlAlchemyExecutionEngine)
def _sqlalchemy(cls, column, like_pattern, _dialect, **kwargs):
like_pattern_expression = get_dial... | ColumnValuesMatchLikePattern |
python | apache__airflow | providers/amazon/tests/unit/amazon/aws/operators/test_datasync.py | {
"start": 35121,
"end": 39275
} | class ____(DataSyncTestCaseBase):
def set_up_operator(self, task_id="test_datasync_delete_task_operator", task_arn="self"):
if task_arn == "self":
task_arn = self.task_arn
# Create operator
self.datasync = DataSyncOperator(
task_id=task_id,
dag=self.dag,
... | TestDataSyncOperatorDelete |
python | tensorflow__tensorflow | tensorflow/python/framework/type_spec_test.py | {
"start": 3237,
"end": 3742
} | class ____(TwoTensorsSpec):
def _serialize(self):
if self.color == "smaller_tuple":
return (self.x_shape, self.x_dtype, self.y_shape, self.y_dtype)
elif self.color == "different_order":
return (self.y_shape, self.x_shape, self.y_dtype, self.color,
self.x_dtype)
return (self.x_s... | TwoTensorsSpecVariableSerialize |
python | viewflow__viewflow | viewflow/workflow/fields.py | {
"start": 3806,
"end": 4698
} | class ____(models.CharField):
def __init__(self, *args, **kwargs):
kwargs.setdefault("max_length", 255)
super(TaskReferenceField, self).__init__(*args, **kwargs)
def to_python(self, value):
if value:
return import_task_by_ref(value) # TODO Raise ValidationError
ret... | TaskReferenceField |
python | getsentry__sentry | tests/sentry/db/postgres/schema/safe_migrations/integration/test_migrations.py | {
"start": 7000,
"end": 7250
} | class ____(BaseSafeMigrationTest):
app = "good_flow_safe_run_sql_with_run_sql_disabled_app"
migrate_from = "0001_initial"
migrate_to = "0001_initial"
def test(self) -> None:
self.run_migration()
| SafeRunSqlWithRunSqlDisabledTest |
python | huggingface__transformers | src/transformers/models/reformer/modeling_reformer.py | {
"start": 48346,
"end": 57829
} | class ____(nn.Module, EfficientAttentionMixin):
def __init__(self, config, layer_idx=None):
super().__init__()
self.num_attention_heads = config.num_attention_heads
self.chunk_length = config.local_attn_chunk_length
self.num_chunks_before = config.local_num_chunks_before
sel... | LocalSelfAttention |
python | dagster-io__dagster | python_modules/dagster-graphql/dagster_graphql_tests/graphql/test_execute_pipeline.py | {
"start": 1858,
"end": 28745
} | class ____(ExecutingGraphQLContextTestMatrix):
def test_start_pipeline_execution(self, graphql_context: WorkspaceRequestContext):
selector = infer_job_selector(graphql_context, "csv_hello_world")
result = execute_dagster_graphql(
graphql_context,
LAUNCH_PIPELINE_EXECUTION_MUT... | TestExecutePipeline |
python | sqlalchemy__sqlalchemy | test/orm/inheritance/test_relationship.py | {
"start": 1889,
"end": 5001
} | class ____(fixtures.MappedTest):
run_setup_mappers = "once"
@classmethod
def define_tables(cls, metadata):
Table(
"people",
metadata,
Column(
"person_id",
Integer,
primary_key=True,
test_needs_autoin... | SelfReferentialTestJoinedToBase |
python | pandas-dev__pandas | pandas/tests/frame/indexing/test_indexing.py | {
"start": 52559,
"end": 54702
} | class ____:
def test_setitem(self):
df = DataFrame(
{"A": np.arange(3), "B": [2**63, 2**63 + 5, 2**63 + 10]},
dtype=np.uint64,
)
idx = df["A"].rename("foo")
# setitem
assert "C" not in df.columns
df["C"] = idx
tm.assert_series_equal(df... | TestDataFrameIndexingUInt64 |
python | openai__openai-python | src/openai/types/conversations/item_create_params.py | {
"start": 378,
"end": 874
} | class ____(TypedDict, total=False):
items: Required[Iterable[ResponseInputItemParam]]
"""The items to add to the conversation. You may add up to 20 items at a time."""
include: List[ResponseIncludable]
"""Additional fields to include in the response.
See the `include` parameter for
[listing Co... | ItemCreateParams |
python | charliermarsh__ruff | crates/ruff_linter/resources/test/fixtures/pycodestyle/E30.py | {
"start": 3291,
"end": 3489
} | class ____:
def method(self):
if True:
def function():
pass
# end
# no error
@decorator
async def function(data: None) -> None:
...
# end
# no error
| Class |
python | tornadoweb__tornado | tornado/web.py | {
"start": 126074,
"end": 126784
} | class ____:
"""A transform modifies the result of an HTTP request (e.g., GZip encoding)
Applications are not expected to create their own OutputTransforms
or interact with them directly; the framework chooses which transforms
(if any) to apply.
"""
def __init__(self, request: httputil.HTTPServ... | OutputTransform |
python | numba__numba | numba/cuda/cudamath.py | {
"start": 3249,
"end": 3512
} | class ____(ConcreteTemplate):
cases = [
signature(types.float32, types.float32, types.int32),
signature(types.float64, types.float64, types.int32),
]
@infer_global(math.isinf)
@infer_global(math.isnan)
@infer_global(math.isfinite)
| Math_ldexp |
python | kamyu104__LeetCode-Solutions | Python/string-compression-ii.py | {
"start": 39,
"end": 985
} | class ____(object):
def getLengthOfOptimalCompression(self, s, k):
"""
:type s: str
:type k: int
:rtype: int
"""
def length(cnt):
l = 2 if cnt >= 2 else 1
while cnt >= 10:
l += 1
cnt //= 10
return l
... | Solution |
python | tiangolo__fastapi | fastapi/background.py | {
"start": 214,
"end": 1793
} | class ____(StarletteBackgroundTasks):
"""
A collection of background tasks that will be called after a response has been
sent to the client.
Read more about it in the
[FastAPI docs for Background Tasks](https://fastapi.tiangolo.com/tutorial/background-tasks/).
## Example
```python
fro... | BackgroundTasks |
python | keras-team__keras | keras/src/ops/math.py | {
"start": 9104,
"end": 11293
} | class ____(Operation):
def __init__(self, sequence_length, sequence_stride, *, name=None):
super().__init__(name=name)
self.sequence_length = sequence_length
self.sequence_stride = sequence_stride
def compute_output_spec(self, x):
if len(x.shape) < 1:
raise ValueErro... | ExtractSequences |
python | PyCQA__pylint | pylint/pyreverse/inspector.py | {
"start": 1280,
"end": 1719
} | class ____:
"""Mixin adding the ability to generate integer uid."""
def __init__(self, start_value: int = 0) -> None:
self.id_count = start_value
def init_counter(self, start_value: int = 0) -> None:
"""Init the id counter."""
self.id_count = start_value
def generate_id(self) ... | IdGeneratorMixIn |
python | pandas-dev__pandas | asv_bench/benchmarks/series_methods.py | {
"start": 5502,
"end": 5782
} | class ____:
params = [10**3, 10**4, 10**5]
param_names = ["N"]
def setup(self, N):
self.s = Series(np.random.randint(0, N, size=10 * N)).astype("object")
def time_value_counts(self, N):
self.s.value_counts(dropna=False)
| ValueCountsObjectDropNAFalse |
python | dask__distributed | distributed/shuffle/_exceptions.py | {
"start": 200,
"end": 294
} | class ____(Exception):
"""Raised when data is not available in the buffer"""
| DataUnavailable |
python | scipy__scipy | scipy/stats/_discrete_distns.py | {
"start": 3548,
"end": 5167
} | class ____(binom_gen):
r"""A Bernoulli discrete random variable.
%(before_notes)s
Notes
-----
The probability mass function for `bernoulli` is:
.. math::
f(k) = \begin{cases}1-p &\text{if } k = 0\\
p &\text{if } k = 1\end{cases}
for :math:`k` in :ma... | bernoulli_gen |
python | pypa__setuptools | setuptools/_vendor/typeguard/_importhook.py | {
"start": 4575,
"end": 6387
} | class ____:
"""
A handle that can be used to uninstall the Typeguard import hook.
"""
def __init__(self, hook: MetaPathFinder):
self.hook = hook
def __enter__(self) -> None:
pass
def __exit__(
self,
exc_type: type[BaseException],
exc_val: BaseException,... | ImportHookManager |
python | pypa__warehouse | tests/unit/email/ses/test_views.py | {
"start": 2422,
"end": 4004
} | class ____:
def test_raises_when_invalid_type(self):
request = pretend.stub(json_body={"Type": "Notification"})
with pytest.raises(HTTPBadRequest):
views.confirm_subscription(request)
def test_confirms(self, monkeypatch):
data = {
"Type": "SubscriptionConfirmati... | TestConfirmSubscription |
python | huggingface__transformers | src/transformers/models/clvp/modeling_clvp.py | {
"start": 43764,
"end": 50549
} | class ____(ClvpPreTrainedModel):
"""
Transformer decoder consisting of *config.num_hidden_layers* layers. Each layer is a [`ClvpDecoderLayer`]
"""
def __init__(self, config):
super().__init__(config)
self.config = config
self.input_embeds_layer = nn.Embedding(self.config.vocab... | ClvpDecoder |
python | python-openxml__python-docx | src/docx/oxml/shape.py | {
"start": 1327,
"end": 1570
} | class ____(BaseOxmlElement):
"""``<a:graphic>`` element, container for a DrawingML object."""
graphicData: CT_GraphicalObjectData = OneAndOnlyOne( # pyright: ignore[reportAssignmentType]
"a:graphicData"
)
| CT_GraphicalObject |
python | huggingface__transformers | src/transformers/models/seamless_m4t_v2/modeling_seamless_m4t_v2.py | {
"start": 20140,
"end": 22739
} | class ____(GradientCheckpointingLayer):
"""Conformer block based on https://huggingface.co/papers/2005.08100."""
# Copied from transformers.models.wav2vec2_conformer.modeling_wav2vec2_conformer.Wav2Vec2ConformerEncoderLayer.__init__ with Wav2Vec2->SeamlessM4Tv2, attention_dropout->speech_encoder_dropout, torch... | SeamlessM4Tv2ConformerEncoderLayer |
python | django__django | django/db/backends/mysql/operations.py | {
"start": 420,
"end": 17396
} | class ____(BaseDatabaseOperations):
compiler_module = "django.db.backends.mysql.compiler"
# MySQL stores positive fields as UNSIGNED ints.
integer_field_ranges = {
**BaseDatabaseOperations.integer_field_ranges,
"PositiveSmallIntegerField": (0, 65535),
"PositiveIntegerField": (0, 429... | DatabaseOperations |
python | gevent__gevent | src/gevent/tests/test__pywsgi.py | {
"start": 6582,
"end": 11643
} | class ____(greentest.TestCase):
server = None
validator = staticmethod(validator)
application = None
# Bind to default address, which should give us ipv6 (when available)
# and ipv4. (see self.connect())
listen_addr = greentest.DEFAULT_BIND_ADDR
# connect on ipv4, even though we bound to ip... | TestCase |
python | vyperlang__vyper | vyper/venom/basicblock.py | {
"start": 3979,
"end": 5447
} | class ____(IROperand):
"""
operand representing an offset into an alloca'ed memory segment
which has not be concretized (allocated) yet.
"""
_id: int
# size of the memory segment
size: int
# offset inside of a memory segment
offset: int
_curr_id: ClassVar[int] = 0
FREE_VA... | IRAbstractMemLoc |
python | kamyu104__LeetCode-Solutions | Python/count-prefix-and-suffix-pairs-i.py | {
"start": 61,
"end": 631
} | class ____(object):
def countPrefixSuffixPairs(self, words):
"""
:type words: List[str]
:rtype: int
"""
_trie = lambda: collections.defaultdict(_trie)
trie = _trie()
result = 0
for w in words:
curr = trie
for i in xrange(len(w))... | Solution |
python | pexpect__pexpect | tests/test_pickling.py | {
"start": 91,
"end": 338
} | class ____(unittest.TestCase):
def test_picking(self):
e = ExceptionPexpect('Oh noes!')
clone = pickle.loads(pickle.dumps(e))
self.assertEqual(e.value, clone.value)
if __name__ == '__main__':
unittest.main()
| PickleTest |
python | scrapy__scrapy | tests/mockserver/http_resources.py | {
"start": 7881,
"end": 8190
} | class ____(resource.Resource):
"""
A testing resource which renders itself as the value of request body
without content-type header in response.
"""
def render(self, request):
request.setHeader("content-type", "")
return request.content.read()
| EmptyContentTypeHeaderResource |
python | ray-project__ray | python/ray/autoscaler/v2/tests/util.py | {
"start": 4101,
"end": 4516
} | class ____(Check):
def __init__(self, count: int):
self.count = count
def check(self, status: ClusterStatus):
healthy_nodes = len(status.active_nodes) + len(status.idle_nodes)
if healthy_nodes != self.count:
raise CheckFailure(f"Expected {self.count} nodes, got {healthy_node... | NodeCountCheck |
python | mlflow__mlflow | mlflow/pyfunc/loaders/chat_agent.py | {
"start": 671,
"end": 4436
} | class ____:
"""
Wrapper class that converts dict inputs to pydantic objects accepted by :class:`~ChatAgent`.
"""
def __init__(self, chat_agent):
"""
Args:
chat_agent: An instance of a subclass of :class:`~ChatAgent`.
"""
self.chat_agent = chat_agent
def ... | _ChatAgentPyfuncWrapper |
python | matplotlib__matplotlib | lib/matplotlib/testing/compare.py | {
"start": 4558,
"end": 8399
} | class ____(_Converter):
def __call__(self, orig, dest):
old_inkscape = mpl._get_executable_info("inkscape").version.major < 1
terminator = b"\n>" if old_inkscape else b"> "
if not hasattr(self, "_tmpdir"):
self._tmpdir = TemporaryDirectory()
# On Windows, we must make... | _SVGConverter |
python | apache__airflow | providers/google/src/airflow/providers/google/cloud/triggers/cloud_composer.py | {
"start": 1332,
"end": 3392
} | class ____(BaseTrigger):
"""The trigger handles the async communication with the Google Cloud Composer."""
def __init__(
self,
project_id: str,
region: str,
operation_name: str,
gcp_conn_id: str = "google_cloud_default",
impersonation_chain: str | Sequence[str] |... | CloudComposerExecutionTrigger |
python | sqlalchemy__sqlalchemy | examples/sharding/asyncio.py | {
"start": 1876,
"end": 3190
} | class ____(DeclarativeBase):
pass
# we need a way to create identifiers which are unique across all databases.
# one easy way would be to just use a composite primary key, where one value
# is the shard id. but here, we'll show something more "generic", an id
# generation function. we'll use a simplistic "id t... | Base |
python | tensorflow__tensorflow | tensorflow/python/kernel_tests/check_ops_test.py | {
"start": 24380,
"end": 27355
} | class ____(test.TestCase):
@test_util.run_in_graph_and_eager_modes
def test_doesnt_raise_when_equal(self):
small = constant_op.constant([1, 2], name="small")
with ops.control_dependencies(
[check_ops.assert_less_equal(small, small)]):
out = array_ops.identity(small)
self.evaluate(out)
... | AssertLessEqualTest |
python | has2k1__plotnine | plotnine/themes/theme_matplotlib.py | {
"start": 188,
"end": 4248
} | class ____(theme):
"""
The default matplotlib look and feel.
The theme can be used (and has the same parameter
to customize) like a [](`matplotlib.rc_context`) manager.
Parameters
----------
rc : dict
rcParams which should be applied on top of mathplotlib default.
fname : str
... | theme_matplotlib |
python | microsoft__pyright | packages/pyright-internal/src/tests/samples/overloadOverlap1.py | {
"start": 5471,
"end": 6555
} | class ____(Protocol):
def __radd__(self: _T1, other: Any, /) -> _T1: ...
@overload
def func19(a: Any, b: DProto2) -> DProto2: ...
@overload
def func19(a: Any, b: DProto1) -> Any: ...
def func19(a: Any, b: Any) -> Any:
return a + b
AllStr = bytes | str
@overload
def func20(choices: AnyStr) -> AnyStr: .... | DProto2 |
python | realpython__materials | hangman-pysimplegui/source_code_final/hangman.py | {
"start": 112,
"end": 8029
} | class ____:
def __init__(self):
layout = [
[
self._build_canvas_frame(),
self._build_letters_frame(),
],
[
self._build_guessed_word_frame(),
],
[
self._build_action_buttons_frame(),
... | Hangman |
python | getsentry__sentry | tests/sentry/releases/endpoints/test_organization_release_file_details.py | {
"start": 5580,
"end": 6846
} | class ____(APITestCase):
def test_simple(self) -> None:
self.login_as(user=self.user)
project = self.create_project(name="foo")
release = Release.objects.create(organization_id=project.organization_id, version="1")
release.add_project(project)
assert release.count_artifact... | ReleaseFileDeleteTest |
python | microsoft__pyright | packages/pyright-internal/src/tests/samples/dataclass17.py | {
"start": 168,
"end": 586
} | class ____:
a: Final[int]
b: Final[str] = ""
c: ClassVar[Final[int]] = 0
d: ClassVar[Final] = 0
e: Final[ClassVar[int]] = 0
a = A(1)
# This should generate an error.
a.a = 0
# This should generate an error.
a.b = ""
# This should generate an error.
a.c = 0
# This should generate an error.
A.c ... | A |
python | PyCQA__pylint | doc/data/messages/l/lost-exception/good.py | {
"start": 0,
"end": 346
} | class ____(ZeroDivisionError):
def __init__(self):
super().__init__("You can't go faster than the speed of light !")
def calculate_speed(distance: float, time: float) -> float:
try:
return distance / time
except ZeroDivisionError as e:
raise FasterThanTheSpeedOfLightError() from e
| FasterThanTheSpeedOfLightError |
python | sqlalchemy__sqlalchemy | test/typing/plain_files/ext/asyncio/async_sessionmaker.py | {
"start": 894,
"end": 2649
} | class ____(Base):
__tablename__ = "b"
id: Mapped[int] = mapped_column(primary_key=True)
a_id = mapped_column(ForeignKey("a.id"))
data: Mapped[str]
def work_with_a_session_one(sess: Session) -> Any:
pass
def work_with_a_session_two(sess: Session, param: Optional[str] = None) -> Any:
pass
de... | B |
python | getsentry__sentry | src/sentry/api/serializers/rest_framework/environment.py | {
"start": 139,
"end": 637
} | class ____(serializers.Field):
def to_representation(self, value):
return value
def to_internal_value(self, data):
if data is None:
return None
try:
environment = Environment.objects.get(
organization_id=self.context["organization"].id, name=data
... | EnvironmentField |
python | sphinx-doc__sphinx | doc/usage/extensions/example_numpy.py | {
"start": 4941,
"end": 5806
} | class ____(Exception):
"""Exceptions are documented in the same way as classes.
The __init__ method may be documented in either the class level
docstring, or as a docstring on the __init__ method itself.
Either form is acceptable, but the two should not be mixed. Choose one
convention to document ... | ExampleError |
python | PrefectHQ__prefect | src/integrations/prefect-github/prefect_github/schemas/graphql_schema.py | {
"start": 489547,
"end": 490189
} | class ____(sgqlc.types.relay.Connection):
"""
See source code for more info.
"""
__schema__ = graphql_schema
__field_names__ = ("edges", "nodes", "page_info", "total_count")
edges = sgqlc.types.Field(
sgqlc.types.list_of("PackageVersionEdge"), graphql_name="edges"
)
nodes = sgql... | PackageVersionConnection |
python | modin-project__modin | modin/config/envvars.py | {
"start": 38962,
"end": 39167
} | class ____(EnvironmentVariable, type=str):
"""Set to AWS_ACCESS_KEY_ID when running mock S3 tests for Modin in GitHub CI."""
varname = "AWS_ACCESS_KEY_ID"
default = "foobar_key"
| CIAWSAccessKeyID |
python | automl__auto-sklearn | test/test_pipeline/test_classification.py | {
"start": 2724,
"end": 3548
} | class ____(AutoSklearnPreprocessingAlgorithm):
def __init__(*args, **kwargs):
pass
@staticmethod
def get_properties(dataset_properties=None):
return {
"shortname": "AB",
"name": "AdaBoost Classifier",
"handles_regression": False,
"handles_clas... | CrashPreprocessor |
python | instagram__MonkeyType | demo/models.py | {
"start": 1980,
"end": 2290
} | class ____(InboxEvent):
type = EventType.FOLLOWED
def __init__(
self,
id: InboxEventId,
user_id: UserId,
published: datetime,
follower_id: UserId,
) -> None:
super().__init__(id, user_id, published)
self.follower_id = follower_id
| FollowedEvent |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-salesforce/source_salesforce/streams.py | {
"start": 2875,
"end": 7097
} | class ____(HttpStream, ABC):
state_converter = IsoMillisConcurrentStreamStateConverter(is_sequential_state=False)
page_size = 2000
transformer = TypeTransformer(TransformConfig.DefaultSchemaNormalization)
encoding = DEFAULT_ENCODING
def __init__(
self,
sf_api: Salesforce,
pk... | SalesforceStream |
python | doocs__leetcode | solution/1200-1299/1208.Get Equal Substrings Within Budget/Solution2.py | {
"start": 0,
"end": 368
} | class ____:
def equalSubstring(self, s: str, t: str, maxCost: int) -> int:
n = len(s)
ans = cost = l = 0
for r in range(n):
cost += abs(ord(s[r]) - ord(t[r]))
while cost > maxCost:
cost -= abs(ord(s[l]) - ord(t[l]))
l += 1
a... | Solution |
python | PrefectHQ__prefect | tests/blocks/test_abstract.py | {
"start": 3875,
"end": 7592
} | class ____:
def test_database_block_is_abstract(self):
with pytest.raises(
TypeError, match="Can't instantiate abstract class DatabaseBlock"
):
DatabaseBlock()
async def test_database_block_implementation(self, caplog):
class ADatabaseBlock(DatabaseBlock):
... | TestDatabaseBlock |
python | altair-viz__altair | altair/vegalite/v6/schema/_config.py | {
"start": 180626,
"end": 201767
} | class ____(TypedDict, total=False):
"""
:class:`altair.OverlayMarkDef` ``TypedDict`` wrapper.
Parameters
----------
align
The horizontal alignment of the text or ranged marks (area, bar, image, rect, rule).
One of ``"left"``, ``"right"``, ``"center"``.
**Note:** Expression ... | OverlayMarkDefKwds |
python | PrefectHQ__prefect | src/integrations/prefect-databricks/prefect_databricks/models/jobs.py | {
"start": 53042,
"end": 54386
} | class ____(BaseModel):
"""
See source code for the fields' description.
"""
model_config = ConfigDict(extra="allow", frozen=True)
jar_uri: Optional[str] = Field(
None,
deprecated=True,
description=(
"Deprecated since 04/2016\\. Provide a `jar` through the `libra... | SparkJarTask |
python | django__django | django/contrib/auth/views.py | {
"start": 13699,
"end": 13870
} | class ____(PasswordContextMixin, TemplateView):
template_name = "registration/password_change_done.html"
title = _("Password change successful")
| PasswordChangeDoneView |
python | sqlalchemy__sqlalchemy | test/aaa_profiling/test_resultset.py | {
"start": 5238,
"end": 6181
} | class ____(fixtures.TestBase):
__backend__ = True
def test_minimal_connection_execute(self):
# create an engine without any instrumentation.
e = create_engine("sqlite://")
c = e.connect()
# ensure initial connect activities complete
c.exec_driver_sql("select 1")
... | ExecutionTest |
python | sqlalchemy__sqlalchemy | test/sql/test_operators.py | {
"start": 47394,
"end": 51897
} | class ____(fixtures.TestBase, testing.AssertsCompiledSQL):
"""test standalone booleans being wrapped in an AsBoolean, as well
as true/false compilation."""
def _dialect(self, native_boolean):
d = default.DefaultDialect()
d.supports_native_boolean = native_boolean
return d
def t... | BooleanEvalTest |
python | aimacode__aima-python | mdp.py | {
"start": 9216,
"end": 13120
} | class ____(MDP):
"""A Partially Observable Markov Decision Process, defined by
a transition model P(s'|s,a), actions A(s), a reward function R(s),
and a sensor model P(e|s). We also keep track of a gamma value,
for use by algorithms. The transition and the sensor models
are defined as matrices. We a... | POMDP |
python | dagster-io__dagster | python_modules/dagster/dagster/_core/definitions/assets/graph/asset_graph_differ.py | {
"start": 1832,
"end": 8338
} | class ____:
"""Given two asset graphs, base_asset_graph and branch_asset_graph, we can compute how the
assets in branch_asset_graph have changed with respect to base_asset_graph. The ChangeReason
enum contains the list of potential changes an asset can undergo. If the base_asset_graph is None,
this indi... | AssetGraphDiffer |
python | dagster-io__dagster | python_modules/dagster-graphql/dagster_graphql/schema/instigation.py | {
"start": 4572,
"end": 4778
} | class ____(graphene.Enum):
ADD_PARTITIONS = "ADD_PARTITIONS"
DELETE_PARTITIONS = "DELETE_PARTITIONS"
class Meta:
name = "DynamicPartitionsRequestType"
| GrapheneDynamicPartitionsRequestType |
python | has2k1__plotnine | plotnine/themes/themeable.py | {
"start": 49668,
"end": 50376
} | class ____(themeable):
"""
x-axis minor-tick length
Parameters
----------
theme_element : float | complex
Value in points. A negative value creates the ticks
inside the plot panel. A complex value (e.g. `3j`)
creates ticks that span both in and out of the panel.
"""
... | axis_ticks_length_minor_x |
python | django__django | tests/queries/tests.py | {
"start": 138475,
"end": 138875
} | class ____(TestCase):
def test_evaluated_proxy_count(self):
"""
Generating the query string doesn't alter the query's state
in irreversible ways. Refs #18248.
"""
ProxyCategory.objects.create()
qs = ProxyCategory.objects.all()
self.assertEqual(qs.count(), 1)
... | ProxyQueryCleanupTest |
python | django__django | django/contrib/postgres/fields/ranges.py | {
"start": 9835,
"end": 9981
} | class ____(PostgresOperatorLookup):
lookup_name = "not_lt"
postgres_operator = RangeOperators.NOT_LT
@RangeField.register_lookup
| NotLessThan |
python | ray-project__ray | python/ray/util/state/common.py | {
"start": 28011,
"end": 28416
} | class ____(StateSchema):
severity: str = state_column(filterable=True)
time: str = state_column(filterable=False)
source_type: str = state_column(filterable=True)
message: str = state_column(filterable=False)
event_id: str = state_column(filterable=True)
custom_fields: Optional[dict] = state_col... | ClusterEventState |
python | ray-project__ray | python/ray/serve/tests/unit/test_deployment_state.py | {
"start": 99003,
"end": 138996
} | class ____:
def scale(
self,
dsm: DeploymentStateManager,
asm: AutoscalingStateManager,
deployment_ids: List[DeploymentID],
):
if not deployment_ids:
return
app_name = deployment_ids[0].app_name
assert all(dep_id.app_name == app_name for dep_i... | TestAutoscaling |
python | pytorch__pytorch | torch/_dynamo/variables/misc.py | {
"start": 71874,
"end": 74656
} | class ____(VariableTracker):
"""self.value is a compile-time constant, but not a literal"""
_error_prefix = "ConstantLikeVariable"
try:
from numpy import (
dtype as np_dtype,
floating as np_floating,
generic as np_generic,
)
except ImportError:
... | ConstantLikeVariable |
python | explosion__spaCy | spacy/lang/th/__init__.py | {
"start": 1090,
"end": 1237
} | class ____(BaseDefaults):
config = load_config_from_str(DEFAULT_CONFIG)
lex_attr_getters = LEX_ATTRS
stop_words = STOP_WORDS
| ThaiDefaults |
python | great-expectations__great_expectations | great_expectations/expectations/core/expect_column_values_to_not_match_regex_list.py | {
"start": 2193,
"end": 15383
} | class ____(ColumnMapExpectation):
__doc__ = f"""{EXPECTATION_SHORT_DESCRIPTION}
ExpectColumnValuesToNotMatchRegexList is a \
Column Map Expectation.
Column Map Expectations are one of the most common types of Expectation.
They are evaluated for a single column and ask a yes/no question for every r... | ExpectColumnValuesToNotMatchRegexList |
python | pytorch__pytorch | test/distributed/test_c10d_common.py | {
"start": 11158,
"end": 11398
} | class ____(nn.Module):
def __init__(self) -> None:
super().__init__()
self.embedding = nn.EmbeddingBag(10, 10, sparse=True)
def forward(self, x):
return F.softmax(self.embedding(x), dim=1)
| SparseGradientModule |
python | huggingface__transformers | tests/models/ijepa/test_modeling_ijepa.py | {
"start": 1459,
"end": 6046
} | class ____:
def __init__(
self,
parent,
batch_size=13,
image_size=30,
patch_size=2,
num_channels=3,
is_training=True,
use_labels=True,
hidden_size=32,
num_hidden_layers=2,
num_attention_heads=4,
intermediate_size=37,
... | IJepaModelTester |
python | encode__django-rest-framework | tests/test_fields.py | {
"start": 10790,
"end": 11350
} | class ____:
def setup_method(self):
def initial_value():
return 123
class TestSerializer(serializers.Serializer):
initial_field = serializers.IntegerField(initial=initial_value)
self.serializer = TestSerializer()
def test_initial_should_accept_callable(self):
... | TestInitialWithCallable |
python | numba__numba | numba/core/datamodel/testing.py | {
"start": 3125,
"end": 4140
} | class ____(object):
"""Test as_data() and from_data()
"""
# XXX test load_from_data_pointer() as well
def test_as_data(self):
fnty = ir.FunctionType(ir.VoidType(), [])
function = ir.Function(self.module, fnty, name="test_as_data")
builder = ir.IRBuilder()
builder.positio... | SupportAsDataMixin |
python | huggingface__transformers | tests/models/metaclip_2/test_modeling_metaclip_2.py | {
"start": 20536,
"end": 23965
} | class ____(MetaClip2ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
all_model_classes = (MetaClip2Model,) if is_torch_available() else ()
pipeline_model_mapping = (
{"feature-extraction": MetaClip2Model, "image-feature-extraction": MetaClip2VisionModel}
if is_torch_available()
... | MetaClip2ModelTest |
python | apache__airflow | providers/google/src/airflow/providers/google/cloud/operators/vertex_ai/feature_store.py | {
"start": 8903,
"end": 12539
} | class ____(GoogleCloudBaseOperator, OperationHelper):
"""
Get Feature Online store instance.
This method initiates VertexAI Feature Online Store creation request.
Feature Online Store aims to serve and manage features data as a part of VertexAI MLOps.
:param project_id: Required. The ID of the Goo... | GetFeatureOnlineStoreOperator |
python | getsentry__sentry | tests/sentry/integrations/slack/threads/activity_notifications/test_external_issue_created_activity.py | {
"start": 926,
"end": 1752
} | class ____(BaseTestCase):
def test_when_link_key_is_not_in_map(self) -> None:
self.activity.data = {}
create_issue_activity = _ExternalIssueCreatedActivity(self.activity)
ret = create_issue_activity.get_link()
assert ret == ""
def test_when_link_key_is_empty(self) -> None:
... | TestGetLink |
python | scipy__scipy | benchmarks/benchmarks/optimize_linprog.py | {
"start": 4912,
"end": 5488
} | class ____(Benchmark):
params = [
methods,
range(20, 100, 20),
range(20, 100, 20)
]
param_names = ['method', 'm', 'n']
def setup(self, meth, m, n):
self.A, self.b, self.c = lpgen_2d(m, n)
def time_lpgen(self, meth, m, n):
method, options = meth
with ... | LpGen |
python | google__jax | jax/experimental/mosaic/gpu/utils.py | {
"start": 11121,
"end": 13784
} | class ____:
op: scf.ForOp
results: tuple[Any, ...]
@property
def result(self):
if len(self.results) != 1:
raise ValueError
return self.results[0]
def fori(bound, carrys):
unwrap = False
if not isinstance(carrys, (list, tuple)):
carrys = [carrys]
unwrap = True
flat_carrys, carry_tr... | ForResult |
python | Netflix__metaflow | test/core/tests/switch_basic.py | {
"start": 63,
"end": 940
} | class ____(MetaflowTest):
"""
Tests a basic switch with multiple branches.
"""
PRIORITY = 2
ONLY_GRAPHS = ["simple_switch"]
@steps(0, ["start"], required=True)
def step_start(self):
self.condition = "case2"
@steps(0, ["switch-simple"], required=True)
def step_switch_simple... | BasicSwitchTest |
python | dagster-io__dagster | python_modules/libraries/dagster-azure/dagster_azure/fakes/fake_adls2_resource.py | {
"start": 1342,
"end": 1975
} | class ____:
def __init__(self, client):
self.client = client
self.id = None
# client needs a ref to self to check if a given lease is valid
self.client._lease = self # noqa: SLF001
def acquire(self, lease_duration=-1):
if self.id is None:
self.id = random.r... | FakeLeaseClient |
python | scipy__scipy | scipy/fft/_pocketfft/tests/test_basic.py | {
"start": 8185,
"end": 8367
} | class ____(_TestIFFTBase):
def setup_method(self):
self.cdt = np.complex128
self.rdt = np.float64
self.rtol = 1e-10
self.atol = 1e-10
| TestDoubleIFFT |
python | pypa__warehouse | tests/unit/legacy/api/xmlrpc/test_cache.py | {
"start": 6536,
"end": 9733
} | class ____:
def test_redis_lru(self, mockredis):
redis_lru = RedisLru(mockredis)
expected = func_test(0, 1, kwarg0=2, kwarg1=3)
assert expected == redis_lru.fetch(
func_test, [0, 1], {"kwarg0": 2, "kwarg1": 3}, None, None, None
)
assert expected == redis_lru.fet... | TestRedisLru |
python | tiangolo__fastapi | tests/test_validate_response_recursive/app.py | {
"start": 143,
"end": 233
} | class ____(BaseModel):
sub_items: List["RecursiveItem"] = []
name: str
| RecursiveItem |
python | coleifer__peewee | tests/regressions.py | {
"start": 51165,
"end": 51311
} | class ____(TestModel):
id = CharField(primary_key=True)
name = CharField(unique=True)
def __str__(self):
return self.name
| CharPK |
python | pandas-dev__pandas | pandas/io/parsers/readers.py | {
"start": 4025,
"end": 65272
} | class ____(TypedDict):
colspecs: Literal["infer"]
infer_nrows: Literal[100]
widths: None
_fwf_defaults: _Fwf_Defaults = {"colspecs": "infer", "infer_nrows": 100, "widths": None}
_c_unsupported = {"skipfooter"}
_python_unsupported = {"low_memory", "float_precision"}
_pyarrow_unsupported = {
"skipfooter... | _Fwf_Defaults |
python | ray-project__ray | python/ray/tune/search/sample.py | {
"start": 5189,
"end": 5521
} | class ____(Sampler):
"""Dummy sampler used for grid search"""
def sample(
self,
domain: Domain,
config: Optional[Union[List[Dict], Dict]] = None,
size: int = 1,
random_state: "RandomState" = None,
):
return RuntimeError("Do not call `sample()` on grid.")
@D... | Grid |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-shopify/source_shopify/shopify_graphql/bulk/query.py | {
"start": 88742,
"end": 95872
} | class ____(ShopifyBulkQuery):
"""
{
products(
query: "updated_at:>='2019-04-13T00:00:00+00:00' AND updated_at:<='2024-04-30T12:16:17.273363+00:00'"
sortKey: UPDATED_AT
) {
edges {
node {
__typename
id
... | ProductImage |
python | conda__conda | conda/activate.py | {
"start": 36473,
"end": 37591
} | class ____(_Activator):
pathsep_join = ";".join if on_win else ":".join
sep = "/"
path_conversion = staticmethod(
backslash_to_forwardslash if on_win else _path_identity
)
# 'scripts' really refer to de/activation scripts, not scripts in the language per se
# xonsh can piggy-back activat... | XonshActivator |
python | PyCQA__pylint | tests/test_check_parallel.py | {
"start": 4889,
"end": 5093
} | class ____(ParallelTestChecker):
"""A checker that does need to consolidate data across run invocations."""
name = "extra-parallel-checker"
test_data = "extra-parallel"
| ExtraParallelTestChecker |
python | huggingface__transformers | src/transformers/models/granitemoe/modular_granitemoe.py | {
"start": 1567,
"end": 1619
} | class ____(GraniteRMSNorm):
pass
| GraniteMoeRMSNorm |
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