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 | ansible__ansible | lib/ansible/plugins/vars/__init__.py | {
"start": 957,
"end": 1331
} | class ____(AnsiblePlugin):
"""
Loads variables for groups and/or hosts
"""
is_stateless = False
def __init__(self):
""" constructor """
super(BaseVarsPlugin, self).__init__()
self._display = display
def get_vars(self, loader, path, entities):
""" Gets variables... | BaseVarsPlugin |
python | facebook__pyre-check | client/command_arguments.py | {
"start": 1498,
"end": 1636
} | class ____(str, enum.Enum):
_value_: str
NONE = "none"
CLIENT = "client"
CLIENT_AND_BINARY = "client_and_binary"
| VersionKind |
python | Netflix__metaflow | test/core/tests/project_branch.py | {
"start": 72,
"end": 904
} | class ____(MetaflowTest):
PRIORITY = 1
SKIP_GRAPHS = [
"simple_switch",
"nested_switch",
"branch_in_switch",
"foreach_in_switch",
"switch_in_branch",
"switch_in_foreach",
"recursive_switch",
"recursive_switch_inside_foreach",
]
HEADER = """... | ProjectBranchTest |
python | PrefectHQ__prefect | tests/server/orchestration/test_core_policy.py | {
"start": 97827,
"end": 104155
} | class ____:
async def test_can_not_nonblocking_pause_subflows(
self,
session,
initialize_orchestration,
):
initial_state_type = states.StateType.RUNNING
proposed_state_type = states.StateType.PAUSED
intended_transition = (initial_state_type, proposed_state_type)
... | TestPausingFlows |
python | wandb__wandb | wandb/vendor/pygments/lexers/markup.py | {
"start": 15133,
"end": 15561
} | class ____(MozPreprocHashLexer):
"""
Lexer for Mozilla Preprocessor files (with '%' as the marker).
Other data is left untouched.
.. versionadded:: 2.0
"""
name = 'mozpercentpreproc'
aliases = [name]
filenames = []
mimetypes = []
tokens = {
'root': [
(r'^%'... | MozPreprocPercentLexer |
python | apache__airflow | providers/google/tests/unit/google/cloud/operators/vertex_ai/test_experiment_service.py | {
"start": 5681,
"end": 6740
} | class ____:
@mock.patch(VERTEX_AI_PATH.format("ExperimentRunHook"))
def test_execute(self, mock_hook):
op = UpdateExperimentRunStateOperator(
task_id=TASK_ID,
project_id=GCP_PROJECT,
location=GCP_LOCATION,
experiment_name=TEST_EXPERIMENT_NAME,
... | TestVertexAIUpdateExperimentRunStateOperator |
python | django__django | django/contrib/gis/gdal/error.py | {
"start": 227,
"end": 1575
} | class ____(Exception):
pass
# #### GDAL/OGR error checking codes and routine ####
# OGR Error Codes
OGRERR_DICT = {
1: (GDALException, "Not enough data."),
2: (GDALException, "Not enough memory."),
3: (GDALException, "Unsupported geometry type."),
4: (GDALException, "Unsupported operation."),
... | SRSException |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-bing-ads/unit_tests/integrations/test_custom_report.py | {
"start": 29079,
"end": 35144
} | class ____(BaseTest):
start_date = "2024-01-01"
stream_name = "custom_report"
records_number = 7
report_file = "custom_report_hour_of_day"
custom_report_aggregation = "HourOfDay"
@property
def _config(self) -> dict[str, Any]:
return (
ConfigBuilder()
.with_r... | CustomReportHourOfDay |
python | pytorch__pytorch | tools/experimental/torchfuzz/operators/nn_functional.py | {
"start": 36157,
"end": 39031
} | class ____(Operator):
"""Operator for torch.nn.functional.scaled_dot_product_attention."""
def __init__(self):
super().__init__("torch.nn.functional.scaled_dot_product_attention")
@property
def torch_op_name(self) -> str | None:
"""Return the torch operation name."""
return "to... | ScaledDotProductAttentionOperator |
python | pytorch__pytorch | torch/_export/serde/serialize.py | {
"start": 5498,
"end": 14737
} | class ____(dict):
"""
Dictionary class for deferred instantiation of node metadata values.
Purpose is to avoid creation of symbolic-shape tensors before relevant shape guards are parsed.
"""
def __init__(self):
self.map = {}
self.evaluated = set()
def __setitem__(self, k, v):
... | LazyMap |
python | PrefectHQ__prefect | src/prefect/artifacts.py | {
"start": 9341,
"end": 10280
} | class ____(Artifact):
table: Union[dict[str, list[Any]], list[dict[str, Any]], list[list[Any]]]
type: Optional[str] = "table"
@classmethod
def _sanitize(
cls, item: dict[str, Any] | list[Any] | float
) -> dict[str, Any] | list[Any] | int | float | None:
"""
Sanitize NaN valu... | TableArtifact |
python | kubernetes-client__python | kubernetes/client/models/v1_client_ip_config.py | {
"start": 383,
"end": 3945
} | 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... | V1ClientIPConfig |
python | Pylons__pyramid | tests/test_config/test_assets.py | {
"start": 37365,
"end": 37899
} | class ____:
def __call__(self, package, path, source, _info=''):
self.package = package
self.path = path
self.source = source
def read_(src):
with open(src, 'rb') as f:
contents = f.read()
return contents
def _assertBody(body, filename):
# strip both \n and \r for win... | DummyUnderOverride |
python | Textualize__textual | tests/snapshot_tests/snapshot_apps/bind_override.py | {
"start": 494,
"end": 985
} | class ____(App):
BINDINGS = [
Binding("space", "app.bell", "Bell (App)"),
Binding("c", "app.notify('c app')", "app"),
Binding("a", "app.notify('a app')", "app"),
Binding("b", "app.notify('b app')", "app"),
]
def compose(self) -> ComposeResult:
yield MyWidget()
... | BindApp |
python | coleifer__peewee | tests/regressions.py | {
"start": 51311,
"end": 51431
} | class ____(TestModel):
id = IntegerField(primary_key=True)
cpk = ForeignKeyField(CharPK, field=CharPK.name)
| CharFK |
python | getsentry__sentry | src/sentry/testutils/cases.py | {
"start": 122372,
"end": 125470
} | class ____(TypedDict, total=False):
body: str
trace_id: str
replay_id: str
severity_text: str
severity_number: int
trace_flags: int
item_id: int
def scalar_to_any_value(value: Any) -> AnyValue:
if isinstance(value, str):
return AnyValue(string_value=value)
if isinstance(val... | _OptionalOurLogData |
python | tensorflow__tensorflow | tensorflow/python/data/ops/readers.py | {
"start": 19464,
"end": 21807
} | class ____(dataset_ops.DatasetSource):
"""A `Dataset` of fixed-length records from one or more binary files."""
def __init__(self,
filenames,
record_bytes,
header_bytes=None,
footer_bytes=None,
buffer_size=None,
compression_t... | _FixedLengthRecordDataset |
python | tensorflow__tensorflow | tensorflow/python/training/proximal_gradient_descent.py | {
"start": 1101,
"end": 4517
} | class ____(optimizer.Optimizer):
# pylint: disable=line-too-long
"""Optimizer that implements the proximal gradient descent algorithm.
References:
Efficient Learning using Forward-Backward Splitting:
[Duchi et al., 2009](http://papers.nips.cc/paper/3793-efficient-learning-using-forward-backward-splitti... | ProximalGradientDescentOptimizer |
python | networkx__networkx | networkx/algorithms/tests/test_summarization.py | {
"start": 16598,
"end": 19030
} | class ____(AbstractSNAP):
def build_original_graph(self):
nodes = {
"A": {"color": "Red"},
"B": {"color": "Red"},
"C": {"color": "Red"},
"D": {"color": "Blue"},
"E": {"color": "Blue"},
"F": {"color": "Blue"},
"G": {"color": ... | TestSNAPUndirectedMulti |
python | django__django | tests/template_tests/syntax_tests/test_autoescape.py | {
"start": 186,
"end": 6535
} | class ____(SimpleTestCase):
@setup({"autoescape-tag01": "{% autoescape off %}hello{% endautoescape %}"})
def test_autoescape_tag01(self):
output = self.engine.render_to_string("autoescape-tag01")
self.assertEqual(output, "hello")
@setup({"autoescape-tag02": "{% autoescape off %}{{ first }}{... | AutoescapeTagTests |
python | h5py__h5py | h5py/tests/test_big_endian_file.py | {
"start": 1010,
"end": 1469
} | class ____(TestCase):
def test_simple_int_be(self):
name = make_name()
fname = self.mktemp()
arr = np.ndarray(shape=(1,), dtype=">i4", buffer=bytearray([0, 1, 3, 2]))
be_number = 0 * 256 ** 3 + 1 * 256 ** 2 + 3 * 256 ** 1 + 2 * 256 ** 0
with File(fname, mode="w") as f:
... | TestEndianess |
python | tensorflow__tensorflow | tensorflow/python/util/nest_test.py | {
"start": 2755,
"end": 2822
} | class ____(MaskedTensor):
pass
@dataclasses.dataclass
| MaskedTensor2 |
python | ray-project__ray | python/ray/_private/thirdparty/pynvml/pynvml.py | {
"start": 61830,
"end": 62227
} | class ____(_PrintableStructure):
_fields_ = [
('fieldId', c_uint32),
('scopeId', c_uint32),
('timestamp', c_int64),
('latencyUsec', c_int64),
('valueType', _nvmlValueType_t),
('nvmlReturn', _nvmlReturn_t),
('value', c_nvmlValue_t)
]
NVML_NVLINK_TOTAL_SUPP... | c_nvmlFieldValue_t |
python | django-import-export__django-import-export | tests/core/tests/admin_integration/test_export.py | {
"start": 31002,
"end": 33662
} | class ____(AdminTestMixin, TestCase):
# Test that Dates, Booleans, numbers etc are retained as native types
# when exporting to XLSX, XLS, ODS (see #1939)
class DeclaredModelFieldBookResource(resources.ModelResource):
# declare a field and enforce export output as str (coerce_to_string)
id ... | ExportBinaryFieldsTest |
python | eriklindernoren__ML-From-Scratch | mlfromscratch/supervised_learning/regression.py | {
"start": 5694,
"end": 6886
} | class ____(Regression):
"""Performs a non-linear transformation of the data before fitting the model
and doing predictions which allows for doing non-linear regression.
Parameters:
-----------
degree: int
The degree of the polynomial that the independent variable X will be transformed to.
... | PolynomialRegression |
python | kamyu104__LeetCode-Solutions | Python/get-biggest-three-rhombus-sums-in-a-grid.py | {
"start": 64,
"end": 1451
} | class ____(object):
def getBiggestThree(self, grid):
"""
:type grid: List[List[int]]
:rtype: List[int]
"""
K = 3
left = [[grid[i][j] for j in xrange(len(grid[i]))] for i in xrange(len(grid))]
right = [[grid[i][j] for j in xrange(len(grid[i]))] for i in xrange... | Solution |
python | gevent__gevent | examples/webpy.py | {
"start": 335,
"end": 450
} | class ____(object):
def GET(self):
return '<html>Hello, world!<br><a href="/long">/long</a></html>'
| index |
python | getsentry__sentry | tests/sentry/plugins/test_repository_provider.py | {
"start": 241,
"end": 1961
} | class ____(TestCase):
def test_needs_auth_for_user(self) -> None:
user = self.create_user()
provider = DummyRepositoryProvider(id="dummy")
# if no org is provided, user needs auth
assert provider.needs_auth(user) is True
UserSocialAuth.objects.create(provider="dummy", user=... | RepositoryProviderTest |
python | walkccc__LeetCode | solutions/3326. Minimum Division Operations to Make Array Non Decreasing/3326.py | {
"start": 0,
"end": 487
} | class ____:
def minOperations(self, nums: list[int]) -> int:
ans = 0
for i in range(len(nums) - 2, -1, -1):
if nums[i] > nums[i + 1]:
minDivisor = self._getMinDivisor(nums[i])
if minDivisor > nums[i + 1]:
return -1
nums[i] = minDivisor
ans += 1
return ans
... | Solution |
python | pytorch__pytorch | torch/backends/cuda/__init__.py | {
"start": 1180,
"end": 1711
} | class ____:
# Like regular ContextProp, but uses the `.device_index` attribute from the
# calling object as the first argument to the getter and setter.
def __init__(self, getter, setter):
self.getter = getter
self.setter = setter
def __get__(self, obj, objtype):
return self.get... | cuFFTPlanCacheAttrContextProp |
python | sphinx-doc__sphinx | sphinx/directives/admonitions.py | {
"start": 1298,
"end": 1368
} | class ____(SphinxAdmonition):
node_class = nodes.attention
| Attention |
python | pennersr__django-allauth | tests/apps/socialaccount/providers/google/tests.py | {
"start": 8787,
"end": 13514
} | class ____(GoogleTests):
"""
Run the same set of tests but without having a SocialApp entry.
"""
pass
def test_login_by_token(db, client, settings_with_google_provider):
client.cookies.load({"g_csrf_token": "csrf"})
with patch(
"allauth.socialaccount.internal.jwtkit.jwt.get_unverified... | AppInSettingsTests |
python | openai__openai-python | src/openai/types/beta/assistant_update_params.py | {
"start": 6289,
"end": 6612
} | class ____(TypedDict, total=False):
file_ids: SequenceNotStr[str]
"""
Overrides the list of
[file](https://platform.openai.com/docs/api-reference/files) IDs made available
to the `code_interpreter` tool. There can be a maximum of 20 files associated
with the tool.
"""
| ToolResourcesCodeInterpreter |
python | django__django | tests/migrations/migrations_test_apps/lookuperror_c/migrations/0002_c2.py | {
"start": 43,
"end": 690
} | class ____(migrations.Migration):
dependencies = [
("lookuperror_a", "0002_a2"),
("lookuperror_c", "0001_initial"),
]
operations = [
migrations.CreateModel(
name="C2",
fields=[
(
"id",
models.AutoField(
... | Migration |
python | realpython__materials | python-mixins/mixins.py | {
"start": 255,
"end": 468
} | class ____:
@classmethod
def from_json(cls, json_string: str) -> Self:
return cls(**json.loads(json_string))
def as_json(self) -> str:
return json.dumps(vars(self))
| JSONSerializableMixin |
python | run-llama__llama_index | llama-index-integrations/llms/llama-index-llms-ai21/llama_index/llms/ai21/base.py | {
"start": 1708,
"end": 15490
} | class ____(FunctionCallingLLM):
"""
AI21 Labs LLM.
Examples:
`pip install llama-index-llms-ai21`
```python
from llama_index.llms.ai21 import AI21
llm = AI21(model="jamba-instruct", api_key=api_key)
resp = llm.complete("Paul Graham is ")
print(resp)
... | AI21 |
python | run-llama__llama_index | llama-index-integrations/llms/llama-index-llms-ibm/llama_index/llms/ibm/base.py | {
"start": 1604,
"end": 23701
} | class ____(FunctionCallingLLM):
"""
IBM watsonx.ai large language models.
Example:
`pip install llama-index-llms-ibm`
```python
from llama_index.llms.ibm import WatsonxLLM
watsonx_llm = WatsonxLLM(
model_id="google/flan-ul2",
url="https://us-south.m... | WatsonxLLM |
python | pandas-dev__pandas | pandas/tests/frame/test_unary.py | {
"start": 114,
"end": 5744
} | class ____:
# __pos__, __neg__, __invert__
@pytest.mark.parametrize(
"df_data,expected_data",
[
([-1, 1], [1, -1]),
([False, True], [True, False]),
(pd.to_timedelta([-1, 1]), pd.to_timedelta([1, -1])),
],
)
def test_neg_numeric(self, df_data, ... | TestDataFrameUnaryOperators |
python | tensorflow__tensorflow | tensorflow/python/ops/gradient_checker_v2_test.py | {
"start": 9532,
"end": 12964
} | class ____(test.TestCase):
# Gradient checker for MNIST.
def _BuildAndTestMiniMNIST(self, param_index, tag):
# Fix seed to avoid occasional flakiness
np.random.seed(6)
# Hyperparameters
batch = 3
inputs = 16
features = 32
classes = 10
# Define the parameters
inp_data = np.rand... | MiniMNISTTest |
python | huggingface__transformers | examples/modular-transformers/modeling_test_detr.py | {
"start": 4226,
"end": 5726
} | class ____(ModelOutput):
r"""
intermediate_hidden_states (`torch.FloatTensor` of shape `(batch_size, config.decoder_layers, num_queries, hidden_size)`):
Stacked intermediate hidden states (output of each layer of the decoder).
intermediate_reference_points (`torch.FloatTensor` of shape `(batch_size,... | TestDetrDecoderOutput |
python | OmkarPathak__pygorithm | tests/test_math.py | {
"start": 156,
"end": 372
} | class ____(unittest.TestCase):
def test_lcm(self):
self.assertEqual(lcm.lcm([3, 12, 16]), 48)
def test_lcm_using_gcd(self):
self.assertEqual(lcm_using_gcd.lcm_using_gcd([3, 12, 16]), 48)
| TestLCM |
python | apache__thrift | lib/py/src/protocol/TJSONProtocol.py | {
"start": 1951,
"end": 2301
} | class ____(object):
def __init__(self, protocol):
self.protocol = protocol
self.first = True
def doIO(self, function):
pass
def write(self):
pass
def read(self):
pass
def escapeNum(self):
return False
def __str__(self):
return self.__... | JSONBaseContext |
python | huggingface__transformers | src/transformers/models/seamless_m4t/modeling_seamless_m4t.py | {
"start": 51889,
"end": 54211
} | class ____(GradientCheckpointingLayer):
def __init__(self, config: SeamlessM4TConfig, encoder_ffn_dim=None, encoder_attention_heads=None):
super().__init__()
encoder_ffn_dim = config.encoder_ffn_dim if encoder_ffn_dim is None else encoder_ffn_dim
encoder_attention_heads = (
confi... | SeamlessM4TEncoderLayer |
python | gevent__gevent | src/greentest/3.10/test_socket.py | {
"start": 198245,
"end": 198363
} | class ____(FileObjectClassTestCase):
bufsize = 2 # Exercise the buffering code
| SmallBufferedFileObjectClassTestCase |
python | pypa__pip | src/pip/_vendor/packaging/markers.py | {
"start": 1058,
"end": 1190
} | class ____(ValueError):
"""
An invalid operation was attempted on a value that doesn't support it.
"""
| UndefinedComparison |
python | yandexdataschool__Practical_RL | week07_seq2seq/basic_model_torch.py | {
"start": 313,
"end": 7322
} | class ____(nn.Module):
def __init__(self, inp_voc, out_voc,
emb_size, hid_size,):
super(self.__class__, self).__init__()
self.inp_voc = inp_voc
self.out_voc = out_voc
self.emb_inp = nn.Embedding(len(inp_voc), emb_size)
self.emb_out = nn.Embedding(len(out_voc... | BasicTranslationModel |
python | numba__numba | numba/testing/main.py | {
"start": 22642,
"end": 22728
} | class ____(runner.TextTestRunner):
resultclass = RefleakTestResult
| RefleakTestRunner |
python | scipy__scipy | scipy/sparse/tests/test_base.py | {
"start": 175478,
"end": 181252
} | class ____(_CompressedMixin, sparse_test_class()):
@classmethod
def spcreator(cls, *args, **kwargs):
with warnings.catch_warnings():
warnings.filterwarnings("ignore", WMSG, SparseEfficiencyWarning)
return csc_array(*args, **kwargs)
math_dtypes = [np.bool_, np.int_, np.float64... | TestCSC |
python | numba__numba | numba/tests/test_comprehension.py | {
"start": 7500,
"end": 17716
} | class ____(unittest.TestCase):
_numba_parallel_test_ = False
def check(self, pyfunc, *args, **kwargs):
"""A generic check function that run both pyfunc, and jitted pyfunc,
and compare results."""
run_parallel = kwargs.get('run_parallel', False)
assert_allocate_list = kwargs.get... | TestArrayComprehension |
python | huggingface__transformers | src/transformers/models/dab_detr/configuration_dab_detr.py | {
"start": 900,
"end": 13685
} | class ____(PreTrainedConfig):
r"""
This is the configuration class to store the configuration of a [`DabDetrModel`]. It is used to instantiate
a DAB-DETR model according to the specified arguments, defining the model architecture. Instantiating a
configuration with the defaults will yield a similar conf... | DabDetrConfig |
python | automl__auto-sklearn | test/test_pipeline/components/regression/test_random_forests.py | {
"start": 161,
"end": 990
} | class ____(BaseRegressionComponentTest):
__test__ = True
res = dict()
res["default_boston"] = 0.8410063895401654
res["boston_n_calls"] = 9
res["default_boston_iterative"] = res["default_boston"]
res["default_boston_sparse"] = 0.4194462097407078
res["default_boston_iterative_sparse"] = res["... | RandomForestComponentTest |
python | jmcnamara__XlsxWriter | xlsxwriter/test/worksheet/test_write_col_breaks.py | {
"start": 301,
"end": 1333
} | class ____(unittest.TestCase):
"""
Test the Worksheet _write_col_breaks() method.
"""
def setUp(self):
self.fh = StringIO()
self.worksheet = Worksheet()
self.worksheet._set_filehandle(self.fh)
def test_write_col_breaks_1(self):
"""Test the _write_col_breaks() metho... | TestWriteColBreaks |
python | tensorflow__tensorflow | tensorflow/python/kernel_tests/data_structures/fifo_queue_test.py | {
"start": 15055,
"end": 16396
} | class ____(test.TestCase):
def testEnqueueWithShape(self):
with test_util.use_gpu():
q = data_flow_ops.GPUCompatibleFIFOQueue(
10, dtypes_lib.float32, shapes=(3, 2))
self.evaluate(q.enqueue(([[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]],)))
with self.assertRaises(ValueError):
q.enqueue... | GPUCompatibleFIFOQueueTests |
python | getsentry__sentry | tests/snuba/api/endpoints/test_discover_saved_queries.py | {
"start": 493,
"end": 1396
} | class ____(APITestCase, SnubaTestCase):
def setUp(self) -> None:
super().setUp()
self.login_as(user=self.user)
self.org = self.create_organization(owner=self.user)
self.projects = [
self.create_project(organization=self.org),
self.create_project(organization=s... | DiscoverSavedQueryBase |
python | tensorflow__tensorflow | tensorflow/python/eager/backprop_test.py | {
"start": 66718,
"end": 68619
} | class ____(test_util.TensorFlowTestCase):
def _assert_indexed_slices_equal(self, left, right):
self.assertAllEqual(
self.evaluate(ops.convert_to_tensor(left)),
self.evaluate(ops.convert_to_tensor(right)))
def testNoGradients(self):
self.assertIsNone(backprop_util.AggregateIndexedSlicesGrad... | AggregateIndexedSlicesGradientsTest |
python | protocolbuffers__protobuf | python/google/protobuf/internal/type_checkers.py | {
"start": 3773,
"end": 4023
} | class ____(TypeChecker):
def __init__(self, default_value, *acceptable_types):
TypeChecker.__init__(self, *acceptable_types)
self._default_value = default_value
def DefaultValue(self):
return self._default_value
| TypeCheckerWithDefault |
python | qdrant__qdrant-client | qdrant_client/uploader/grpc_uploader.py | {
"start": 2708,
"end": 4936
} | class ____(BaseUploader):
def __init__(
self,
host: str,
port: int,
collection_name: str,
max_retries: int,
wait: bool = False,
shard_key_selector: Optional[types.ShardKeySelector] = None,
update_filter: Optional[types.Filter] = None,
**kwargs:... | GrpcBatchUploader |
python | allegroai__clearml | clearml/backend_api/services/v2_23/tasks.py | {
"start": 456174,
"end": 460262
} | class ____(Request):
"""
Mark a task status as published.
For Annotation tasks - if any changes were committed by this task,
a new version in the dataset together with an output view are created.
For Training tasks - if a model was created, it should be set to ready.
:param force: If not true... | PublishRequest |
python | pytorch__pytorch | test/nn/test_parametrization.py | {
"start": 854,
"end": 82206
} | class ____(NNTestCase):
_do_cuda_memory_leak_check = True
_do_cuda_non_default_stream = True
# FIXME: Rewrite this test using functions not depending on LAPACK
# and remove the `@skipIfNoLapack` (see #70995)
# torch/nn/utils/parametrize
@skipIfNoLapack
@swap([True, False])
def te... | TestNNParametrization |
python | microsoft__pyright | packages/pyright-internal/src/tests/samples/protocol30.py | {
"start": 373,
"end": 502
} | class ____(Protocol):
v1: int
def func2(c2: C2):
# This should generate an error because v1 is invariant.
x: P2 = c2
| C2 |
python | pandas-dev__pandas | pandas/tests/io/test_feather.py | {
"start": 508,
"end": 10407
} | class ____:
def check_error_on_write(self, df, exc, err_msg, temp_file):
# check that we are raising the exception
# on writing
with pytest.raises(exc, match=err_msg):
to_feather(df, temp_file)
def check_external_error_on_write(self, df, temp_file):
# check that we ... | TestFeather |
python | getsentry__sentry | tests/sentry/workflow_engine/handlers/detector/test_stateful.py | {
"start": 18498,
"end": 21226
} | class ____(TestCase):
def setUp(self) -> None:
self.detector = self.create_detector(
name="Redis Optimization Detector",
project=self.project,
)
self.handler = MockDetectorStateHandler(
detector=self.detector,
thresholds={
Level... | TestDetectorStateManagerRedisOptimization |
python | google__pytype | pytype/rewrite/tests/test_basic.py | {
"start": 189,
"end": 2049
} | class ____(RewriteTest):
"""Basic functional tests."""
def setUp(self):
super().setUp()
self.options.tweak(use_rewrite=True)
def test_analyze_functions(self):
self.Check("""
def f():
def g():
pass
""")
def test_analyze_function_with_nonlocal(self):
self.Check("""
... | BasicTest |
python | networkx__networkx | networkx/algorithms/tests/test_graphical.py | {
"start": 1085,
"end": 5366
} | class ____:
@classmethod
def setup_class(cls):
global atlas
from networkx.generators import atlas
cls.GAG = atlas.graph_atlas_g()
def test_atlas(self):
for graph in self.GAG:
deg = (d for n, d in graph.degree())
assert nx.is_graphical(deg, method="eg... | TestAtlas |
python | zarr-developers__zarr-python | src/zarr/core/dtype/npy/float.py | {
"start": 11975,
"end": 13155
} | class ____(BaseFloat[np.dtypes.Float64DType, np.float64]):
"""
A Zarr data type for arrays containing 64-bit floating point numbers.
Wraps the [`np.dtypes.Float64DType`][numpy.dtypes.Float64DType] data type. Scalars for this data type are instances
of [`np.float64`][numpy.float64].
Attributes
... | Float64 |
python | dagster-io__dagster | python_modules/dagster/dagster/_core/errors.py | {
"start": 24587,
"end": 24710
} | class ____(DagsterError):
"""When job execution completes with steps in an unknown state."""
| DagsterUnknownStepStateError |
python | pandas-dev__pandas | pandas/tests/indexes/test_any_index.py | {
"start": 3352,
"end": 4842
} | class ____:
def test_getitem_0d_ndarray(self, index):
# GH#55601
if len(index) == 0:
pytest.skip(reason="Test assumes non-empty index")
key = np.array(0)
result = index[key]
assert result == index[0]
def test_get_loc_listlike_raises_invalid_index_error(self,... | TestIndexing |
python | ipython__ipython | IPython/extensions/deduperreload/deduperreload.py | {
"start": 1838,
"end": 2398
} | class ____(NamedTuple):
"""
Each node represents a function.
qualified_name: string which represents the namespace/name of the function
abstract_syntax_tree: subtree of the overall module which corresponds to this function
qualified_name is of the structure: (namespace1, namespace2, ..., name)
... | DependencyNode |
python | huggingface__transformers | src/transformers/models/bros/modeling_bros.py | {
"start": 13926,
"end": 16990
} | class ____(GradientCheckpointingLayer):
def __init__(self, config):
super().__init__()
self.chunk_size_feed_forward = config.chunk_size_feed_forward
self.seq_len_dim = 1
self.attention = BrosAttention(config)
self.is_decoder = config.is_decoder
self.add_cross_attentio... | BrosLayer |
python | great-expectations__great_expectations | contrib/experimental/great_expectations_experimental/expectations/expect_multicolumn_sum_values_to_be_equal_to_single_column.py | {
"start": 672,
"end": 2695
} | class ____(MulticolumnMapMetricProvider):
# </snippet>
# This is the id string that will be used to reference your metric.
# <snippet>
condition_metric_name = "multicolumn_values.sum_values_equal_to_single_column"
# </snippet>
# These point your metric at the provided keys to facilitate calculat... | MulticolumnValuesSumValuesEqualToSingleColumn |
python | aio-libs__aiohttp | tests/test_web_middleware.py | {
"start": 6275,
"end": 19054
} | class ____:
@pytest.mark.parametrize(
"path, status",
[
("/resource1", 200),
("/resource1/", 404),
("/resource2", 200),
("/resource2/", 200),
("/resource1?p1=1&p2=2", 200),
("/resource1/?p1=1&p2=2", 404),
("/resource... | TestNormalizePathMiddleware |
python | sqlalchemy__sqlalchemy | test/dialect/mssql/test_engine.py | {
"start": 21692,
"end": 23583
} | class ____(fixtures.TestBase):
__only_on__ = "mssql"
__backend__ = True
@testing.variation("enable_comments", [True, False])
def test_comments_enabled_disabled(
self, testing_engine, metadata, enable_comments
):
Table(
"tbl_with_comments",
metadata,
... | MiscTest |
python | readthedocs__readthedocs.org | readthedocs/projects/forms.py | {
"start": 32373,
"end": 35992
} | class ____(forms.Form):
"""Project translation form."""
project = forms.ChoiceField()
def __init__(self, *args, **kwargs):
self.parent = kwargs.pop("parent", None)
self.user = kwargs.pop("user")
super().__init__(*args, **kwargs)
self.fields["project"].choices = self.get_cho... | TranslationBaseForm |
python | doocs__leetcode | solution/0400-0499/0471.Encode String with Shortest Length/Solution.py | {
"start": 0,
"end": 751
} | class ____:
def encode(self, s: str) -> str:
def g(i: int, j: int) -> str:
t = s[i : j + 1]
if len(t) < 5:
return t
k = (t + t).index(t, 1)
if k < len(t):
cnt = len(t) // k
return f"{cnt}[{f[i][i + k - 1]}]"
... | Solution |
python | crytic__slither | slither/vyper_parsing/ast/types.py | {
"start": 181,
"end": 251
} | class ____(ASTNode):
doc_string: Optional[str]
@dataclass
| Definition |
python | allegroai__clearml | clearml/backend_api/services/v2_23/datasets.py | {
"start": 34449,
"end": 34543
} | class ____(StringEnum):
frame = "frame"
source = "source"
roi = "roi"
| SchemaTypeEnum |
python | pandas-dev__pandas | pandas/tests/internals/test_internals.py | {
"start": 30079,
"end": 37736
} | class ____:
# Nosetests-style data-driven tests.
#
# This test applies different indexing routines to block managers and
# compares the outcome to the result of same operations on np.ndarray.
#
# NOTE: sparse (SparseBlock with fill_value != np.nan) fail a lot of tests
# and are disable... | TestIndexing |
python | nryoung__algorithms | algorithms/data_structures/singly_linked_list.py | {
"start": 843,
"end": 2125
} | class ____:
def __init__(self):
self.head = None
self.size = 0
def add(self, value):
"""
Add element to list
Time Complexity: O(N)
"""
node = Node(value)
node.set_next(self.head)
self.head = node
self.size += 1
def _search_... | SinglyLinkedList |
python | charliermarsh__ruff | crates/ruff_linter/resources/test/fixtures/flake8_annotations/allow_star_arg_any.py | {
"start": 439,
"end": 1021
} | class ____:
# OK
def foo_method(self, a: int, *params: str, **options: str) -> int:
pass
# ANN401
def foo_method(self, a: Any, *params: str, **options: str) -> int:
pass
# ANN401
def foo_method(self, a: int, *params: str, **options: str) -> Any:
pass
# OK
def f... | Bar |
python | charliermarsh__ruff | crates/ruff_linter/resources/test/fixtures/pylint/invalid_return_type_hash.py | {
"start": 291,
"end": 462
} | class ____:
def __hash__(self):
print("ruff") # [invalid-hash-return]
# TODO: Once Ruff has better type checking
def return_int():
return "3"
| HashNoReturn |
python | kamyu104__LeetCode-Solutions | Python/minimum-cost-to-convert-string-ii.py | {
"start": 8241,
"end": 10751
} | class ____(object):
def minimumCost(self, source, target, original, changed, cost):
"""
:type source: str
:type target: str
:type original: List[str]
:type changed: List[str]
:type cost: List[int]
:rtype: int
"""
INF = float("inf")
def ... | Solution4 |
python | facebook__pyre-check | source/interprocedural_analyses/taint/test/integration/higher_order_functions.py | {
"start": 449,
"end": 1792
} | class ____:
def method_to_sink(self, arg):
_test_sink(arg)
def self_to_sink(self):
_test_sink(self)
def higher_order_method(c: C, arg):
higher_order_function(c.method_to_sink, arg) # Expect an issue (False negative)
def test_higher_order_method():
higher_order_method(C(), _test_sou... | C |
python | huggingface__transformers | src/transformers/convert_slow_tokenizer.py | {
"start": 3813,
"end": 4676
} | class ____(SentencePieceExtractor):
def extract(self, vocab_scores=None) -> tuple[dict[str, int], list[tuple]]:
"""
By default will return vocab and merges with respect to their order, by sending `vocab_scores` we're going to
order the merges with respect to the piece scores instead.
... | GemmaSentencePieceExtractor |
python | django__django | tests/check_framework/test_security.py | {
"start": 5243,
"end": 6953
} | class ____(SimpleTestCase):
@override_settings(
MIDDLEWARE=["django.middleware.csrf.CsrfViewMiddleware"],
CSRF_COOKIE_SECURE=False,
)
def test_with_csrf_cookie_secure_false(self):
"""
Warn if CsrfViewMiddleware is in MIDDLEWARE but
CSRF_COOKIE_SECURE isn't True.
... | CheckCSRFCookieSecureTest |
python | aimacode__aima-python | deep_learning4e.py | {
"start": 1077,
"end": 1285
} | class ____:
def function(self, x):
return NotImplementedError
def derivative(self, x):
return NotImplementedError
def __call__(self, x):
return self.function(x)
| Activation |
python | conda__conda | conda/models/records.py | {
"start": 20958,
"end": 21446
} | class ____(PackageRecord):
"""Representation of a package that has been returned as part of a solver solution.
This sits between :class:`PackageRecord` and :class:`PrefixRecord`, simply adding
``requested_spec`` so it can be used in lockfiles without requiring the artifact on
disk.
"""
#: str:... | SolvedRecord |
python | apache__airflow | task-sdk/tests/task_sdk/api/test_client.py | {
"start": 42827,
"end": 53846
} | class ____:
def test_trigger(self):
# Simulate a successful response from the server when triggering a dag run
def handle_request(request: httpx.Request) -> httpx.Response:
if request.url.path == "/dag-runs/test_trigger/test_run_id":
actual_body = json.loads(request.read(... | TestDagRunOperations |
python | microsoft__pyright | packages/pyright-internal/src/tests/samples/typedDict12.py | {
"start": 971,
"end": 1034
} | class ____(TypedDict):
foo: int
baz: NotRequired[int]
| TD3 |
python | sympy__sympy | sympy/polys/agca/extensions.py | {
"start": 5442,
"end": 9633
} | class ____(Domain):
r"""
Finite extension generated by an integral element.
The generator is defined by a monic univariate
polynomial derived from the argument ``mod``.
A shorter alias is ``FiniteExtension``.
Examples
========
Quadratic integer ring $\mathbb{Z}[\sqrt2]$:
>>> fro... | MonogenicFiniteExtension |
python | ansible__ansible | lib/ansible/plugins/loader.py | {
"start": 4676,
"end": 12272
} | class ____(object):
def __init__(self, plugin_type: str, legacy_package_name: str) -> None:
self.original_name: str | None = None
self.redirect_list: list[str] = []
self.raw_error_list: list[Exception] = []
"""All exception instances encountered during the plugin load."""
sel... | PluginLoadContext |
python | sqlalchemy__sqlalchemy | test/typing/plain_files/orm/trad_relationship_uselist.py | {
"start": 1285,
"end": 4443
} | class ____(Base):
__tablename__ = "address"
id = mapped_column(Integer, primary_key=True)
user_id = mapped_column(ForeignKey("user.id"))
email = mapped_column(String, nullable=False)
user_style_one = relationship(User, uselist=False)
user_style_one_typed: Mapped[User] = relationship(User, use... | Address |
python | apache__airflow | providers/cncf/kubernetes/src/airflow/providers/cncf/kubernetes/decorators/kubernetes_cmd.py | {
"start": 1268,
"end": 4677
} | class ____(DecoratedOperator, KubernetesPodOperator):
custom_operator_name = "@task.kubernetes_cmd"
template_fields: Sequence[str] = KubernetesPodOperator.template_fields
overwrite_rtif_after_execution: bool = True
def __init__(self, *, python_callable: Callable, args_only: bool = False, **kwargs) -> ... | _KubernetesCmdDecoratedOperator |
python | sqlalchemy__sqlalchemy | test/typing/plain_files/inspection_inspect.py | {
"start": 606,
"end": 658
} | class ____(DeclarativeBaseNoMeta):
pass
| BaseNoMeta |
python | huggingface__transformers | tests/models/roformer/test_modeling_roformer.py | {
"start": 1509,
"end": 14065
} | class ____:
def __init__(
self,
parent,
batch_size=13,
seq_length=7,
is_training=True,
use_input_mask=True,
use_token_type_ids=True,
use_labels=True,
vocab_size=99,
hidden_size=32,
num_hidden_layers=2,
num_attention_head... | RoFormerModelTester |
python | python-poetry__poetry | src/poetry/console/commands/env_command.py | {
"start": 181,
"end": 544
} | class ____(Command):
def __init__(self) -> None:
# Set in poetry.console.application.Application.configure_env
self._env: Env | None = None
super().__init__()
@property
def env(self) -> Env:
assert self._env is not None
return self._env
def set_env(self, env: E... | EnvCommand |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-google-drive/source_google_drive/spec.py | {
"start": 2042,
"end": 2617
} | class ____(BaseModel):
class Config(OneOfOptionConfig):
title = "Service Account Key Authentication"
discriminator = "auth_type"
auth_type: Literal["Service"] = Field("Service", const=True)
service_account_info: str = Field(
title="Service Account Information",
description='... | ServiceAccountCredentials |
python | pandas-dev__pandas | pandas/tseries/holiday.py | {
"start": 3445,
"end": 13437
} | class ____:
"""
Class that defines a holiday with start/end dates and rules
for observance.
"""
start_date: Timestamp | None
end_date: Timestamp | None
days_of_week: tuple[int, ...] | None
def __init__(
self,
name: str,
year=None,
month=None,
day... | Holiday |
python | openai__openai-python | src/openai/types/responses/response_function_shell_call_output_content_param.py | {
"start": 456,
"end": 723
} | class ____(TypedDict, total=False):
exit_code: Required[int]
"""The exit code returned by the shell process."""
type: Required[Literal["exit"]]
"""The outcome type. Always `exit`."""
Outcome: TypeAlias = Union[OutcomeTimeout, OutcomeExit]
| OutcomeExit |
python | huggingface__transformers | src/transformers/models/blip_2/configuration_blip_2.py | {
"start": 904,
"end": 4660
} | class ____(PreTrainedConfig):
r"""
This is the configuration class to store the configuration of a [`Blip2VisionModel`]. It is used to instantiate a
BLIP-2 vision encoder according to the specified arguments, defining the model architecture. Instantiating a
configuration defaults will yield a similar co... | Blip2VisionConfig |
python | getsentry__sentry | tests/sentry/hybridcloud/rpc/test_sig.py | {
"start": 132,
"end": 1350
} | class ____(TestCase):
def test_signature(self) -> None:
class AnObject(pydantic.BaseModel):
a: int
b: str
def a_function(arg1: AnObject, arg2: AnObject) -> AnObject:
raise NotImplementedError
sig = SerializableFunctionSignature(a_function)
arg_va... | SerializableFunctionSignatureTest |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.