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 | huggingface__transformers | src/transformers/models/gpt_sw3/tokenization_gpt_sw3.py | {
"start": 456,
"end": 10047
} | class ____(SentencePieceBackend):
"""
Construct an GPTSw3 tokenizer. Based on [SentencePiece](https://github.com/google/sentencepiece).
This tokenizer inherits from [`PreTrainedTokenizer`] which contains most of the main methods. Users should refer to
this superclass for more information regarding thos... | GPTSw3Tokenizer |
python | matplotlib__matplotlib | lib/matplotlib/backend_tools.py | {
"start": 19687,
"end": 19957
} | class ____(ViewsPositionsBase):
"""Move forward in the view lim stack."""
description = 'Forward to next view'
image = 'mpl-data/images/forward'
default_keymap = property(lambda self: mpl.rcParams['keymap.forward'])
_on_trigger = 'forward'
| ToolForward |
python | Textualize__textual | src/textual/reactive.py | {
"start": 1133,
"end": 3304
} | class ____(Generic[ReactiveType]):
"""Initialize a reactive by calling a method parent object.
Example:
```python
class InitializeApp(App):
def get_names(self) -> list[str]:
return ["foo", "bar", "baz"]
# The `names` property will call `... | Initialize |
python | getsentry__sentry | src/sentry/migrations/0971_make_dashboard_widget_order_optional_field.py | {
"start": 186,
"end": 1656
} | class ____(CheckedMigration):
# This flag is used to mark that a migration shouldn't be automatically run in production.
# This should only be used for operations where it's safe to run the migration after your
# code has deployed. So this should not be used for most operations that alter the schema
# o... | Migration |
python | getsentry__sentry | src/sentry/api/serializers/models/event.py | {
"start": 5698,
"end": 5852
} | class ____(TypedDict, total=False):
startTimestamp: datetime
endTimestamp: datetime
measurements: Any
breakdowns: Any
| TransactionEventFields |
python | scrapy__scrapy | tests/test_pipeline_media.py | {
"start": 14314,
"end": 15549
} | class ____:
def _assert_request_no3xx(self, pipeline_class, settings):
pipe = pipeline_class(crawler=get_crawler(None, settings))
request = Request("http://url")
pipe._modify_media_request(request)
assert "handle_httpstatus_list" in request.meta
for status, check in [
... | TestMediaPipelineAllowRedirectSettings |
python | getsentry__sentry-python | tests/integrations/mcp/test_mcp.py | {
"start": 2949,
"end": 3135
} | class ____:
"""Mock PromptMessage object"""
def __init__(self, role, content_text):
self.role = role
self.content = MockTextContent(content_text)
| MockPromptMessage |
python | scikit-image__scikit-image | tests/skimage/feature/test_peak.py | {
"start": 283,
"end": 19291
} | class ____:
def test_trivial_case(self):
trivial = np.zeros((25, 25))
peak_indices = peak.peak_local_max(trivial, min_distance=1)
assert type(peak_indices) is np.ndarray
assert peak_indices.size == 0
def test_noisy_peaks(self):
peak_locations = [(7, 7), (7, 13), (13, 7),... | TestPeakLocalMax |
python | pyca__cryptography | tests/doubles.py | {
"start": 1298,
"end": 1382
} | class ____(padding.AsymmetricPadding):
name = "dummy-padding"
| DummyAsymmetricPadding |
python | pytest-dev__pytest | testing/test_collection.py | {
"start": 4509,
"end": 10342
} | class ____:
def test_ignored_certain_directories(self, pytester: Pytester) -> None:
tmp_path = pytester.path
ensure_file(tmp_path / "build" / "test_notfound.py")
ensure_file(tmp_path / "dist" / "test_notfound.py")
ensure_file(tmp_path / "_darcs" / "test_notfound.py")
ensure_f... | TestCollectFS |
python | neetcode-gh__leetcode | python/2300-successful-pairs-of-spells-and-potions.py | {
"start": 0,
"end": 624
} | class ____:
def successfulPairs(self, spells: List[int], potions: List[int], success: int) -> List[int]:
pairs = []
potions.sort()
n = len(potions)
for i in range(len(spells)):
l, r = 0, len(potions) - 1
while l <= r:
m = (l + r) ... | Solution |
python | tensorflow__tensorflow | tensorflow/python/autograph/operators/variables.py | {
"start": 1687,
"end": 3090
} | class ____(object):
"""Represents an undefined symbol in Python.
This is used to reify undefined symbols, which is required to use the
functional form of loops.
Example:
while n > 0:
n = n - 1
s = n
return s # Runtime error if n == 0
This is valid Python code and will not result in an ... | Undefined |
python | coleifer__peewee | tests/hybrid.py | {
"start": 823,
"end": 4078
} | class ____(ModelTestCase):
database = get_in_memory_db()
requires = [Interval, Person]
def setUp(self):
super(TestHybridProperties, self).setUp()
intervals = (
(1, 5),
(2, 6),
(3, 5),
(2, 5))
for start, end in intervals:
In... | TestHybridProperties |
python | mahmoud__boltons | tests/test_ioutils.py | {
"start": 352,
"end": 8341
} | class ____:
"""
A set of tests that work the same for SpooledBtyesIO and SpooledStringIO
"""
def test_getvalue_norollover(self):
"""Make sure getvalue function works with in-memory flo"""
self.spooled_flo.write(self.test_str)
self.assertEqual(self.spooled_flo.getvalue(), self.te... | BaseTestMixin |
python | fluentpython__example-code | 11-iface-abc/frenchdeck2.py | {
"start": 77,
"end": 777
} | class ____(collections.MutableSequence):
ranks = [str(n) for n in range(2, 11)] + list('JQKA')
suits = 'spades diamonds clubs hearts'.split()
def __init__(self):
self._cards = [Card(rank, suit) for suit in self.suits
for rank in self.ranks]
def __len__(s... | FrenchDeck2 |
python | ray-project__ray | python/ray/serve/tests/test_multiplex.py | {
"start": 1452,
"end": 8294
} | class ____:
async def test_failed_to_get_replica_context(self):
async def model_load_func(model_id: str):
return model_id
with pytest.raises(RuntimeError, match="can only be used within a deployment"):
_ModelMultiplexWrapper(model_load_func, None, max_num_models_per_replica=... | TestMultiplexWrapper |
python | matplotlib__matplotlib | lib/matplotlib/_mathtext.py | {
"start": 52894,
"end": 53163
} | class ____(Hlist):
"""
A convenience class to create an `Hlist` whose contents are
centered within its enclosing box.
"""
def __init__(self, elements: list[Node]):
super().__init__([Glue('ss'), *elements, Glue('ss')], do_kern=False)
| HCentered |
python | ray-project__ray | rllib/env/vector_env.py | {
"start": 486,
"end": 8349
} | class ____:
"""An environment that supports batch evaluation using clones of sub-envs."""
def __init__(
self, observation_space: gym.Space, action_space: gym.Space, num_envs: int
):
"""Initializes a VectorEnv instance.
Args:
observation_space: The observation Space of a... | VectorEnv |
python | doocs__leetcode | solution/0900-0999/0995.Minimum Number of K Consecutive Bit Flips/Solution.py | {
"start": 0,
"end": 413
} | class ____:
def minKBitFlips(self, nums: List[int], k: int) -> int:
n = len(nums)
d = [0] * (n + 1)
ans = s = 0
for i, x in enumerate(nums):
s += d[i]
if s % 2 == x:
if i + k > n:
return -1
d[i] += 1
... | Solution |
python | apache__airflow | providers/microsoft/azure/src/airflow/providers/microsoft/azure/triggers/data_factory.py | {
"start": 1170,
"end": 4995
} | class ____(BaseTrigger):
"""
Trigger with params to run the task when the ADF Pipeline is running.
:param run_id: The pipeline run identifier.
:param azure_data_factory_conn_id: The connection identifier for connecting to Azure Data Factory.
:param poke_interval: polling period in seconds to check... | ADFPipelineRunStatusSensorTrigger |
python | apache__airflow | providers/amazon/src/airflow/providers/amazon/aws/sensors/ecs.py | {
"start": 3441,
"end": 5285
} | class ____(EcsBaseSensor):
"""
Poll task definition until it reaches a terminal state; raise AirflowException with the failure reason.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/sensor:EcsTaskDefinitionStateSensor`
:param task_d... | EcsTaskDefinitionStateSensor |
python | getsentry__sentry | src/sentry/integrations/msteams/card_builder/block.py | {
"start": 751,
"end": 842
} | class ____(str, Enum):
SMALL = "Small"
MEDIUM = "Medium"
LARGE = "Large"
| TextSize |
python | pytorch__pytorch | torch/_inductor/pattern_matcher.py | {
"start": 69530,
"end": 84139
} | class ____:
def __init__(
self,
pass_name: Optional[str] = None,
subsystem: Optional[str] = None,
) -> None:
super().__init__()
self.patterns: defaultdict[
tuple[str, torch.fx.node.Target], list[PatternEntry]
] = defaultdict(list)
self.pass_nam... | PatternMatcherPass |
python | django__django | django/core/management/__init__.py | {
"start": 6777,
"end": 17413
} | class ____:
"""
Encapsulate the logic of the django-admin and manage.py utilities.
"""
def __init__(self, argv=None):
self.argv = argv or sys.argv[:]
self.prog_name = os.path.basename(self.argv[0])
if self.prog_name == "__main__.py":
self.prog_name = "python -m djang... | ManagementUtility |
python | microsoft__pyright | packages/pyright-internal/src/tests/samples/protocol53.py | {
"start": 963,
"end": 1058
} | class ____(Proto_CoSelf):
def m(self) -> "Impl_CoRecursExplicit2": ...
| Impl_CoRecursExplicit2 |
python | PrefectHQ__prefect | tests/server/schemas/test_core.py | {
"start": 5572,
"end": 8523
} | class ____:
def test_task_run_cache_key_greater_than_user_configured_max_length(self):
with temporary_settings({PREFECT_API_TASK_CACHE_KEY_MAX_LENGTH: 5}):
cache_key_invalid_length = "X" * 6
with pytest.raises(
ValidationError,
match="Cache key exceede... | TestTaskRun |
python | great-expectations__great_expectations | tests/datasource/fluent/test_type_lookup.py | {
"start": 2664,
"end": 3861
} | class ____:
def test_transaction_happy_path(self):
t = TypeLookup({"a_list": list, "a_dict": dict})
with t.transaction():
t["a_set"] = set
print(f"t\t{len(t)}")
assert set in t
t["a_tuple"] = tuple
print(f"t\t{len(t)}")
assert... | TestTransactions |
python | pytorch__pytorch | test/jit/test_backends.py | {
"start": 18198,
"end": 19826
} | class ____(JitTestCase):
"""
A common base class for JIT backend tests with compilers that contains common utility
functions for output comparison.
"""
def setUp(self):
super().setUp()
lib_file_path = find_library_location("libbackend_with_compiler.so")
torch.ops.load_librar... | JitBackendTestCaseWithCompiler |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-stripe/unit_tests/integration/test_payout_balance_transactions.py | {
"start": 5823,
"end": 6970
} | class ____(TestCase):
@HttpMocker()
def test_when_read_then_fetch_from_updated_payouts(self, http_mocker: HttpMocker) -> None:
config = _config().with_start_date(_START_DATE).build()
state = StateBuilder().with_stream_state(_STREAM_NAME, {"updated": int(_STATE_DATE.timestamp())}).build()
... | PayoutBalanceTransactionsIncrementalTest |
python | skorch-dev__skorch | skorch/tests/callbacks/test_regularization.py | {
"start": 103,
"end": 1870
} | class ____:
@pytest.fixture
def grad_clip_cls_and_mock(self):
with patch('skorch.callbacks.regularization.clip_grad_norm_') as cgn:
from skorch.callbacks import GradientNormClipping
yield GradientNormClipping, cgn
def test_parameters_passed_correctly_to_torch_cgn(
... | TestGradientNormClipping |
python | joke2k__faker | faker/providers/automotive/es_CO/__init__.py | {
"start": 85,
"end": 359
} | class ____(AutomotiveProvider):
license_formats = OrderedDict(
[
("???###", 0.6),
("???##?", 0.3),
("T####", 0.03),
("??####", 0.01),
("R#####", 0.03),
("S#####", 0.03),
]
)
| Provider |
python | walkccc__LeetCode | solutions/1425. Constrained Subsequence Sum/1425.py | {
"start": 0,
"end": 589
} | class ____:
def constrainedSubsetSum(self, nums: list[int], k: int) -> int:
# dp[i] := the maximum the sum of non-empty subsequences in nums[0..i]
dp = [0] * len(nums)
# dq stores dp[i - k], dp[i - k + 1], ..., dp[i - 1] whose values are > 0
# in decreasing order.
dq = collections.deque()
for... | Solution |
python | huggingface__transformers | src/transformers/models/sam2_video/modeling_sam2_video.py | {
"start": 49064,
"end": 50238
} | class ____(nn.Module):
def __init__(self, config: Sam2VideoPromptEncoderConfig):
super().__init__()
self.scale = config.scale
positional_embedding = self.scale * torch.randn((2, config.hidden_size // 2))
self.register_buffer("positional_embedding", positional_embedding)
def forw... | Sam2VideoPositionalEmbedding |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-github/source_github/github_schema.py | {
"start": 1014346,
"end": 1014819
} | class ____(sgqlc.types.Type):
"""Autogenerated return type of UnresolveReviewThread"""
__schema__ = github_schema
__field_names__ = ("client_mutation_id", "thread")
client_mutation_id = sgqlc.types.Field(String, graphql_name="clientMutationId")
"""A unique identifier for the client performing the m... | UnresolveReviewThreadPayload |
python | sqlalchemy__sqlalchemy | test/dialect/postgresql/test_types.py | {
"start": 123594,
"end": 129598
} | class ____(fixtures.TablesTest, ComparesTables):
"""test DDL and reflection of PG-specific types"""
__only_on__ = ("postgresql >= 8.3.0",)
__sparse_driver_backend__ = True
@testing.metadata_fixture()
def special_types_table(self, metadata):
# create these types so that we can issue
... | SpecialTypesTest |
python | microsoft__pyright | packages/pyright-internal/src/tests/samples/typeNarrowingIn1.py | {
"start": 3806,
"end": 5455
} | class ____(Generic[P]):
def __init__(self, func: Callable[P, str]) -> None:
self.func = func
def __call__(self, *args: P.args, **kwargs: P.kwargs) -> str:
if "data" in kwargs:
raise ValueError("data is not allowed in kwargs")
return self.func(*args, **kwargs)
T13 = TypeVa... | Container |
python | jazzband__django-polymorphic | src/polymorphic/tests/models.py | {
"start": 7165,
"end": 7352
} | class ____(ShowFieldTypeAndContent, PolymorphicModel):
blog = models.ForeignKey(BlogBase, on_delete=models.CASCADE)
text = models.CharField(max_length=30)
| BlogEntry_limit_choices_to |
python | doocs__leetcode | solution/1000-1099/1025.Divisor Game/Solution.py | {
"start": 0,
"end": 85
} | class ____:
def divisorGame(self, n: int) -> bool:
return n % 2 == 0
| Solution |
python | django__django | django/db/models/functions/text.py | {
"start": 9147,
"end": 9222
} | class ____(Transform):
function = "RTRIM"
lookup_name = "rtrim"
| RTrim |
python | huggingface__transformers | src/transformers/generation/logits_process.py | {
"start": 35673,
"end": 39850
} | class ____(LogitsProcessor):
r"""
[`LogitsProcessor`] that performs typical decoding. Inspired on how humans use language, it prioritizes tokens
whose log probability is close to the entropy of the token probability distribution. This means that the most
likely tokens may be discarded in the process.
... | TypicalLogitsWarper |
python | keon__algorithms | tests/test_graph.py | {
"start": 2079,
"end": 2554
} | class ____(unittest.TestCase):
def test_check_bipartite(self):
adj_list_1 = [[0, 0, 1], [0, 0, 1], [1, 1, 0]]
self.assertEqual(True, check_bipartite(adj_list_1))
adj_list_2 = [[0, 1, 0, 1], [1, 0, 1, 0], [0, 1, 0, 1], [1, 0, 1, 0]]
self.assertEqual(True, check_bipartite(adj_list_2))
... | TestCheckBipartite |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-github/source_github/github_schema.py | {
"start": 1329659,
"end": 1330280
} | class ____(sgqlc.types.Type, ProjectV2ItemFieldValueCommon, Node):
"""The value of a single select field in a Project item."""
__schema__ = github_schema
__field_names__ = ("name", "name_html", "option_id")
name = sgqlc.types.Field(String, graphql_name="name")
"""The name of the selected single sel... | ProjectV2ItemFieldSingleSelectValue |
python | huggingface__transformers | src/transformers/models/falcon_mamba/modeling_falcon_mamba.py | {
"start": 35860,
"end": 42719
} | class ____(FalconMambaPreTrainedModel, GenerationMixin):
_tied_weights_keys = {"lm_head.weight": "backbone.embeddings.weight"}
def __init__(self, config):
super().__init__(config)
self.backbone = FalconMambaModel(config)
self.lm_head = nn.Linear(config.hidden_size, config.vocab_size, bi... | FalconMambaForCausalLM |
python | charliermarsh__ruff | crates/ruff_linter/resources/test/fixtures/flake8_simplify/SIM115.py | {
"start": 6057,
"end": 6151
} | class ____(TestCase):
def setUp(self):
self.enterContext(open("filename")) | ExampleTests |
python | spack__spack | lib/spack/spack/error.py | {
"start": 4208,
"end": 4287
} | class ____(SpackError):
"""Superclass for fetch-related errors."""
| FetchError |
python | huggingface__transformers | src/transformers/models/kosmos2/modeling_kosmos2.py | {
"start": 64239,
"end": 70989
} | class ____(Kosmos2PreTrainedModel):
config: Kosmos2Config
main_input_name = "pixel_values"
def __init__(self, config: Kosmos2Config):
super().__init__(config)
self.text_model = Kosmos2TextModel(config.text_config)
self.vision_model = Kosmos2VisionModel(config.vision_config)
... | Kosmos2Model |
python | sqlalchemy__sqlalchemy | lib/sqlalchemy/dialects/postgresql/hstore.py | {
"start": 8838,
"end": 8979
} | class ____(sqlfunc.GenericFunction):
type = ARRAY(sqltypes.Text)
name = "hstore_to_array"
inherit_cache = True
| _HStoreArrayFunction |
python | Pylons__pyramid | src/pyramid/testing.py | {
"start": 8820,
"end": 18708
} | class ____(
URLMethodsMixin,
CallbackMethodsMixin,
InstancePropertyMixin,
LocalizerRequestMixin,
SecurityAPIMixin,
AuthenticationAPIMixin,
ViewMethodsMixin,
):
"""A DummyRequest object (incompletely) imitates a :term:`request` object.
The ``params``, ``environ``, ``headers``, ``path... | DummyRequest |
python | allegroai__clearml | clearml/automation/parameters.py | {
"start": 3083,
"end": 5518
} | class ____(Parameter):
"""
Uniform randomly sampled hyperparameter object.
"""
def __init__(
self,
name: str,
min_value: float,
max_value: float,
step_size: Optional[float] = None,
include_max_value: bool = True,
) -> ():
"""
Create a ... | UniformParameterRange |
python | automl__auto-sklearn | autosklearn/metalearning/metafeatures/metafeatures.py | {
"start": 20500,
"end": 20819
} | class ____(MetaFeature):
def _calculate(self, X, y, logger, feat_type):
kurts = helper_functions.get_value("Kurtosisses")
minimum = np.nanmin(kurts) if len(kurts) > 0 else 0
return minimum if np.isfinite(minimum) else 0
@metafeatures.define("KurtosisMax", dependency="Kurtosisses")
| KurtosisMin |
python | langchain-ai__langchain | libs/standard-tests/tests/unit_tests/test_embeddings.py | {
"start": 484,
"end": 745
} | class ____(EmbeddingsIntegrationTests):
@property
def embeddings_class(self) -> type[Embeddings]:
return DeterministicFakeEmbedding
@property
def embedding_model_params(self) -> dict:
return {"size": 6}
| TestFakeEmbeddingsIntegration |
python | numba__numba | numba/tests/test_cfunc.py | {
"start": 5090,
"end": 9894
} | class ____(TestCase):
"""
Tests for carray() and farray().
"""
def run_carray_usecase(self, pointer_factory, func):
a = np.arange(10, 16).reshape((2, 3)).astype(np.float32)
out = np.empty(CARRAY_USECASE_OUT_LEN, dtype=np.float32)
func(pointer_factory(a), pointer_factory(out), *a... | TestCArray |
python | celery__celery | t/unit/tasks/test_stamping.py | {
"start": 26617,
"end": 55272
} | class ____(CanvasCase):
"""These tests were extracted (and fixed) from the canvas unit tests."""
def test_on_signature_gets_the_signature(self):
expected_sig = self.add.s(4, 2)
class CustomStampingVisitor(StampingVisitor):
def on_signature(self, actual_sig, **headers) -> dict:
... | test_stamping_mechanism |
python | zostera__django-bootstrap4 | src/bootstrap4/renderers.py | {
"start": 2609,
"end": 4502
} | class ____(BaseRenderer):
"""Default formset renderer."""
def __init__(self, formset, *args, **kwargs):
if not isinstance(formset, BaseFormSet):
raise BootstrapError('Parameter "formset" should contain a valid Django Formset.')
self.formset = formset
super().__init__(*args, ... | FormsetRenderer |
python | pytorch__pytorch | torch/_inductor/runtime/caching/context.py | {
"start": 963,
"end": 4055
} | class ____(_Context):
"""Context provider for runtime configuration and environment settings.
Collects configuration settings that affect runtime behavior but not
compilation, such as Inductor configs, determinism settings, and CUDA
matmul precision configurations.
"""
@override
@staticmet... | _RuntimeContext |
python | scipy__scipy | benchmarks/benchmarks/linalg_sqrtm.py | {
"start": 166,
"end": 671
} | class ____(Benchmark):
params = [
['float64', 'complex128'],
[16, 32, 64, 256, 512],
]
param_names = ['dtype', 'n']
def setup(self, dtype, n):
n = int(n)
rng = np.random.default_rng(1742808411247533)
dtype = np.dtype(dtype)
A = rng.uniform(size=[n, n])
... | Sqrtm |
python | ansible__ansible | test/units/vars/test_variable_manager.py | {
"start": 1356,
"end": 6164
} | class ____(unittest.TestCase):
def test_basic_manager(self):
fake_loader = DictDataLoader({})
mock_inventory = InventoryManager(loader=fake_loader)
v = VariableManager(loader=fake_loader, inventory=mock_inventory)
variables = v.get_vars(use_cache=False)
# Check var manager... | TestVariableManager |
python | lxml__lxml | src/lxml/html/tests/test_html5parser.py | {
"start": 12876,
"end": 13440
} | class ____:
def __init__(self, doc=None, root=None,
fragments=None, namespaceHTMLElements=True):
self.doc = doc or DummyElementTree(root=root)
self.fragments = fragments
self.tree = DummyTreeBuilder(namespaceHTMLElements)
def parse(self, *args, **kwargs):
self.p... | DummyParser |
python | kamyu104__LeetCode-Solutions | Python/basic-calculator-iii.py | {
"start": 1373,
"end": 2791
} | class ____(object):
def calculate(self, s):
"""
:type s: str
:rtype: int
"""
operands, operators = [], []
operand = ""
for i in reversed(xrange(len(s))):
if s[i].isdigit():
operand += s[i]
if i == 0 or not s[i-1].isd... | Solution2 |
python | facebook__pyre-check | tools/incremental_test/specification.py | {
"start": 6615,
"end": 8659
} | class ____(RepositoryState):
files: Dict[str, str]
def to_json(self) -> Dict[str, Any]:
return {"kind": "file", "files": self.files}
@contextmanager
def _do_prepare(self, environment: Environment) -> Iterator[Path]:
# Grab a temporary directory as the local root
temporary_direc... | FileRepositoryState |
python | pypa__setuptools | setuptools/_distutils/tests/test_core.py | {
"start": 1101,
"end": 3829
} | class ____:
def test_run_setup_provides_file(self, temp_file):
# Make sure the script can use __file__; if that's missing, the test
# setup.py script will raise NameError.
temp_file.write_text(setup_using___file__, encoding='utf-8')
distutils.core.run_setup(temp_file)
def test_r... | TestCore |
python | kamyu104__LeetCode-Solutions | Python/sort-the-matrix-diagonally.py | {
"start": 74,
"end": 613
} | class ____(object):
def diagonalSort(self, mat):
"""
:type mat: List[List[int]]
:rtype: List[List[int]]
"""
lookup = collections.defaultdict(list)
for i in xrange(len(mat)):
for j in xrange(len(mat[0])):
lookup[i-j].append(mat[i][j])
... | Solution |
python | kamyu104__LeetCode-Solutions | Python/additive-number.py | {
"start": 32,
"end": 1196
} | class ____(object):
def isAdditiveNumber(self, num):
"""
:type num: str
:rtype: bool
"""
def add(a, b):
res, carry, val = "", 0, 0
for i in xrange(max(len(a), len(b))):
val = carry
if i < len(a):
val ... | Solution |
python | apache__airflow | task-sdk/src/airflow/sdk/execution_time/comms.py | {
"start": 27562,
"end": 27655
} | class ____(BaseModel):
type: Literal["ResendLoggingFD"] = "ResendLoggingFD"
| ResendLoggingFD |
python | apache__airflow | providers/google/src/airflow/providers/google/cloud/sensors/dataplex.py | {
"start": 1547,
"end": 1698
} | class ____:
"""Dataplex Task states."""
STATE_UNSPECIFIED = 0
ACTIVE = 1
CREATING = 2
DELETING = 3
ACTION_REQUIRED = 4
| TaskState |
python | pypa__pip | tests/unit/test_network_auth.py | {
"start": 12805,
"end": 17567
} | class ____(KeyringModuleV1):
"""Represents the subprocess call to keyring"""
returncode = 0 # Default to zero retcode
def __call__(
self,
cmd: list[str],
*,
env: dict[str, str],
stdin: Any | None = None,
stdout: Any | None = None,
input: bytes | Non... | KeyringSubprocessResult |
python | keras-team__keras | integration_tests/dataset_tests/cifar100_test.py | {
"start": 92,
"end": 1318
} | class ____(testing.TestCase):
def test_shapes_fine_label_mode(self):
(x_train, y_train), (x_test, y_test) = cifar100.load_data(
label_mode="fine"
)
self.assertEqual(x_train.shape, (50000, 32, 32, 3))
self.assertEqual(y_train.shape, (50000, 1))
self.assertEqual(x_t... | Cifar100LoadDataTest |
python | sphinx-doc__sphinx | sphinx/directives/other.py | {
"start": 8299,
"end": 8862
} | class ____(SphinxDirective):
"""Directive to create a centered line of bold text."""
has_content = False
required_arguments = 1
optional_arguments = 0
final_argument_whitespace = True
option_spec: ClassVar[OptionSpec] = {}
def run(self) -> list[Node]:
if not self.arguments:
... | Centered |
python | redis__redis-py | tests/test_asyncio/test_multidb/test_client.py | {
"start": 775,
"end": 27664
} | class ____:
@pytest.mark.asyncio
@pytest.mark.parametrize(
"mock_multi_db_config,mock_db, mock_db1, mock_db2",
[
(
{},
{"weight": 0.2, "circuit": {"state": CBState.CLOSED}},
{"weight": 0.7, "circuit": {"state": CBState.CLOSED}},
... | TestMultiDbClient |
python | huggingface__transformers | src/transformers/models/groupvit/modeling_groupvit.py | {
"start": 23548,
"end": 23693
} | class ____(GroupViTMLP):
def forward(self, x):
x = super().forward(x.transpose(1, 2))
return x.transpose(1, 2)
| GroupViTMixerMLP |
python | getsentry__sentry | tests/sentry/middleware/integrations/parsers/test_discord.py | {
"start": 10464,
"end": 11553
} | class ____(APITestCase):
@override_settings(SILO_MODE=SiloMode.CONTROL)
def test_validation_failure(self) -> None:
response = self.client.post(
reverse("sentry-integration-discord-interactions"),
data={"type": DiscordRequestTypes.PING},
)
assert response.status_co... | End2EndTest |
python | mlflow__mlflow | tests/genai/evaluate/test_telemetry.py | {
"start": 796,
"end": 5171
} | class ____(Scorer):
name: str = "is_empty"
def __call__(self, *, outputs) -> bool:
return outputs == ""
def test_emit_custom_metric_event():
from databricks.agents.evals import metric
# Legacy custom metrics
@metric
def not_empty(response):
return response != ""
scorers ... | IsEmpty |
python | HypothesisWorks__hypothesis | hypothesis-python/tests/django/toystore/forms.py | {
"start": 4860,
"end": 5061
} | class ____(ReprForm):
_ip_both = forms.GenericIPAddressField()
_ip_v4 = forms.GenericIPAddressField(protocol="IPv4")
_ip_v6 = forms.GenericIPAddressField(protocol="IPv6")
| InternetProtocolForm |
python | huggingface__transformers | src/transformers/models/lightglue/modeling_lightglue.py | {
"start": 4281,
"end": 8464
} | class ____(nn.Module):
def __init__(self, config: LightGlueConfig):
super().__init__()
self.projector = nn.Linear(2, config.descriptor_dim // config.num_attention_heads // 2, bias=False)
def forward(
self, keypoints: torch.Tensor, output_hidden_states: Optional[bool] = False
) -> Un... | LightGluePositionalEncoder |
python | openai__openai-python | src/openai/_response.py | {
"start": 20695,
"end": 21460
} | class ____(Generic[_APIResponseT]):
"""Context manager for ensuring that a request is not made
until it is entered and that the response will always be closed
when the context manager exits
"""
def __init__(self, request_func: Callable[[], _APIResponseT]) -> None:
self._request_func = reque... | ResponseContextManager |
python | django__django | tests/forms_tests/tests/test_input_formats.py | {
"start": 17152,
"end": 21316
} | class ____(SimpleTestCase):
@classmethod
def setUpClass(cls):
cls.enterClassContext(translation.override(None))
super().setUpClass()
def test_dateField(self):
"DateFields can parse dates in the default format"
f = forms.DateField()
# Parse a date in an unaccepted for... | CustomDateInputFormatsTests |
python | sqlalchemy__sqlalchemy | lib/sqlalchemy/orm/events.py | {
"start": 22637,
"end": 25946
} | class ____(event.RefCollection[_ET]):
"""Hold onto listeners against unmapped, uninstrumented classes.
Establish _listen() for that class' mapper/instrumentation when
those objects are created for that class.
"""
all_holds: weakref.WeakKeyDictionary[Any, Any]
def __init__(
self,
... | _EventsHold |
python | sqlalchemy__sqlalchemy | test/orm/inheritance/test_basic.py | {
"start": 7419,
"end": 10549
} | class ____(
fixtures.DeclarativeMappedTest, testing.AssertsCompiledSQL
):
run_setup_mappers = "once"
__dialect__ = "default"
@classmethod
def setup_classes(cls):
Base = cls.DeclarativeBasic
class A(Base):
__tablename__ = "a"
id = Column(Integer, primary_key=... | PolymorphicResolutionMultiLevel |
python | run-llama__llama_index | llama-index-integrations/readers/llama-index-readers-oxylabs/llama_index/readers/oxylabs/base.py | {
"start": 400,
"end": 4204
} | class ____(BasePydanticReader, abc.ABC):
"""
Oxylabs Scraper base class.
https://developers.oxylabs.io/scraper-apis/web-scraper-api
"""
top_level_header: Optional[str] = None
timeout_s: int = 100
oxylabs_scraper_url: str = "https://realtime.oxyserps-dev.fun/v1/queries"
oxylabs_api: Re... | OxylabsBaseReader |
python | django__django | tests/distinct_on_fields/models.py | {
"start": 603,
"end": 688
} | class ____(models.Model):
fan_of = models.ForeignKey(Celebrity, models.CASCADE)
| Fan |
python | buildout__buildout | src/zc/buildout/_package_index.py | {
"start": 14385,
"end": 42197
} | class ____(Environment):
"""A distribution index that scans web pages for download URLs"""
def __init__(
self,
index_url: str = "https://pypi.org/simple/",
hosts=('*',),
ca_bundle=None,
verify_ssl: bool = True,
*args,
**kw,
) -> None:
super().... | PackageIndex |
python | sanic-org__sanic | sanic/worker/loader.py | {
"start": 4707,
"end": 5777
} | class ____:
_creators = {
"mkcert": MkcertCreator,
"trustme": TrustmeCreator,
}
def __init__(
self,
ssl_data: Optional[
Union[SSLContext, dict[str, Union[str, os.PathLike]]]
],
):
self._ssl_data = ssl_data
self._creator_class = None
... | CertLoader |
python | keras-team__keras | keras/src/callbacks/tensorboard_test.py | {
"start": 884,
"end": 1251
} | class ____:
"""Yields `Event` protocol buffers from a given path."""
def __init__(self, path):
self._tf_record_iterator = tf_record.tf_record_iterator(path)
def __iter__(self):
return self
def __next__(self):
r = next(self._tf_record_iterator)
return event_pb2.Event.Fr... | _SummaryIterator |
python | huggingface__transformers | tests/models/vision_encoder_decoder/test_modeling_vision_encoder_decoder.py | {
"start": 19314,
"end": 24608
} | class ____(EncoderDecoderMixin, unittest.TestCase):
def get_pretrained_model_and_inputs(self):
model = VisionEncoderDecoderModel.from_encoder_decoder_pretrained(
"hf-internal-testing/tiny-random-deit", "hf-internal-testing/tiny-random-roberta"
)
batch_size = 13
pixel_valu... | DeiT2RobertaModelTest |
python | facelessuser__pymdown-extensions | tests/test_extensions/test_inlinehilite.py | {
"start": 13977,
"end": 14910
} | class ____(util.MdCase):
"""Test custom InlineHilite cases."""
extension = [
'pymdownx.highlight',
'pymdownx.inlinehilite',
]
extension_configs = {
'pymdownx.inlinehilite': {
'css_class': 'inlinehilite',
'custom_inline': [
{
... | TestLegacyInlineHiliteCustom3 |
python | tornadoweb__tornado | tornado/test/locale_test.py | {
"start": 3040,
"end": 3337
} | class ____(unittest.TestCase):
def test_non_ascii_name(self):
name = tornado.locale.LOCALE_NAMES["es_LA"]["name"]
self.assertTrue(isinstance(name, unicode_type))
self.assertEqual(name, "Espa\u00f1ol")
self.assertEqual(utf8(name), b"Espa\xc3\xb1ol")
| LocaleDataTest |
python | tensorflow__tensorflow | tensorflow/python/training/monitored_session_test.py | {
"start": 92491,
"end": 96649
} | class ____(test.TestCase):
"""Tests SingularMonitoredSession."""
def test_handles_initialization(self):
with ops.Graph().as_default():
a_var = variable_v1.VariableV1(0)
with monitored_session.SingularMonitoredSession() as session:
# If it's not initialized, following statement raises an err... | SingularMonitoredSessionTest |
python | getsentry__sentry | src/sentry/organizations/services/organization/service.py | {
"start": 19975,
"end": 20842
} | class ____(abc.ABC):
@abstractmethod
def check_organization_by_slug(self, *, slug: str, only_visible: bool) -> int | None:
"""
If exists and matches the only_visible requirement, returns an organization's id by the slug.
"""
@abstractmethod
def check_organization_by_id(self, *, ... | OrganizationCheckService |
python | spack__spack | lib/spack/spack/vendor/jinja2/nodes.py | {
"start": 25654,
"end": 26241
} | class ____(Expr):
"""Get an attribute or item from an expression that is a ascii-only
bytestring and prefer the attribute.
"""
fields = ("node", "attr", "ctx")
node: Expr
attr: str
ctx: str
def as_const(self, eval_ctx: t.Optional[EvalContext] = None) -> t.Any:
if self.ctx != "l... | Getattr |
python | encode__httpx | httpx/_multipart.py | {
"start": 7195,
"end": 9843
} | class ____(SyncByteStream, AsyncByteStream):
"""
Request content as streaming multipart encoded form data.
"""
def __init__(
self,
data: RequestData,
files: RequestFiles,
boundary: bytes | None = None,
) -> None:
if boundary is None:
boundary = os... | MultipartStream |
python | keras-team__keras | keras/src/ops/nn.py | {
"start": 37669,
"end": 41273
} | class ____(Operation):
def __init__(
self,
strides=1,
padding="valid",
data_format=None,
dilation_rate=1,
*,
name=None,
):
super().__init__(name=name)
self.strides = strides
self.padding = padding.lower()
self.data_format = ... | DepthwiseConv |
python | walkccc__LeetCode | solutions/854. K-Similar Strings/854.py | {
"start": 0,
"end": 811
} | class ____:
def kSimilarity(self, s1: str, s2: str) -> int:
q = collections.deque([s1])
seen = {s1}
step = 0
while q:
for _ in range(len(q)):
curr = q.popleft()
if curr == s2:
return step
for child in self._getChildren(curr, s2):
if child in seen:
... | Solution |
python | sqlalchemy__sqlalchemy | test/orm/inheritance/test_abc_polymorphic.py | {
"start": 405,
"end": 3644
} | class ____(fixtures.MappedTest):
@classmethod
def define_tables(cls, metadata):
global a, b, c
a = Table(
"a",
metadata,
Column(
"id", Integer, primary_key=True, test_needs_autoincrement=True
),
Column("adata", String(30... | ABCTest |
python | eriklindernoren__ML-From-Scratch | mlfromscratch/deep_learning/layers.py | {
"start": 18978,
"end": 19847
} | class ____(ConstantPadding2D):
"""Adds rows and columns of zero values to the input.
Expects the input to be of shape (batch_size, channels, height, width)
Parameters:
-----------
padding: tuple
The amount of padding along the height and width dimension of the input.
If (pad_h, pad_... | ZeroPadding2D |
python | eriklindernoren__ML-From-Scratch | mlfromscratch/deep_learning/layers.py | {
"start": 7944,
"end": 12047
} | class ____(Layer):
"""A 2D Convolution Layer.
Parameters:
-----------
n_filters: int
The number of filters that will convolve over the input matrix. The number of channels
of the output shape.
filter_shape: tuple
A tuple (filter_height, filter_width).
input_shape: tuple
... | Conv2D |
python | openai__openai-python | tests/api_resources/fine_tuning/alpha/test_graders.py | {
"start": 5193,
"end": 10258
} | class ____:
parametrize = pytest.mark.parametrize(
"async_client", [False, True, {"http_client": "aiohttp"}], indirect=True, ids=["loose", "strict", "aiohttp"]
)
@parametrize
async def test_method_run(self, async_client: AsyncOpenAI) -> None:
grader = await async_client.fine_tuning.alph... | TestAsyncGraders |
python | ray-project__ray | python/ray/actor.py | {
"start": 6203,
"end": 7015
} | class ____(Generic[_Ret, _T0, _T1, _T2, _T3, _T4, _T5, _T6, _T7, _T8]):
def remote(
self,
__arg0: "Union[_T0, ObjectRef[_T0]]",
__arg1: "Union[_T1, ObjectRef[_T1]]",
__arg2: "Union[_T2, ObjectRef[_T2]]",
__arg3: "Union[_T3, ObjectRef[_T3]]",
__arg4: "Union[_T4, Object... | _RemoteMethod8 |
python | astropy__astropy | astropy/convolution/tests/test_convolve_fft.py | {
"start": 2465,
"end": 20220
} | class ____:
@pytest.mark.parametrize("boundary", BOUNDARY_OPTIONS)
@pytest.mark.parametrize("nan_treatment", NANTREATMENT_OPTIONS)
@pytest.mark.parametrize("normalize_kernel", NORMALIZE_OPTIONS)
@pytest.mark.parametrize("dealias", [True, False])
def test_quantity(self, boundary, nan_treatment, norma... | TestConvolve1D |
python | microsoft__pyright | packages/pyright-internal/src/tests/samples/inconsistentConstructor1.py | {
"start": 721,
"end": 841
} | class ____:
def __new__(cls, *args: Any, **kwargs: Any) -> Self: ...
def __init__(self, a: int) -> None: ...
| Class4 |
python | cython__cython | Cython/Compiler/ExprNodes.py | {
"start": 248727,
"end": 256092
} | class ____(ExprNode):
# allow overriding the default 'may_be_none' behaviour
may_return_none = None
def infer_type(self, env):
function = self.function
# TODO(robertwb): Reduce redundancy with analyse_types.
func_type = function.infer_type(env)
if isinstance(function, NewEx... | CallNode |
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