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 | getsentry__sentry | src/sentry/consumers/__init__.py | {
"start": 26317,
"end": 26744
} | class ____(ProcessingStrategyFactory):
def __init__(self, healthcheck_file_path: str, inner: ProcessingStrategyFactory):
self.healthcheck_file_path = healthcheck_file_path
self.inner = inner
def create_with_partitions(self, commit, partitions):
rv = self.inner.create_with_partitions(com... | HealthcheckStrategyFactoryWrapper |
python | getsentry__sentry | src/sentry/testutils/cases.py | {
"start": 27626,
"end": 27825
} | class ____(BaseTestCase, BaseAPITransactionTestCase, APITestCaseMixin):
# We need Django to flush all databases.
databases: set[str] | str = "__all__"
method = "get"
| APITransactionTestCase |
python | getsentry__sentry | src/sentry/conduit/endpoints/organization_conduit_demo.py | {
"start": 780,
"end": 895
} | class ____(serializers.Serializer):
conduit = ConduitCredentialsSerializer()
| ConduitCredentialsResponseSerializer |
python | catalyst-team__catalyst | examples/recsys/multivae.py | {
"start": 1159,
"end": 3418
} | class ____(nn.Module):
def __init__(self, p_dims, q_dims=None, dropout=0.5):
super().__init__()
self.p_dims = p_dims
if q_dims:
assert (
q_dims[0] == p_dims[-1]
), "In and Out dimensions must equal to each other"
assert (
q_... | MultiVAE |
python | cython__cython | Cython/Compiler/Nodes.py | {
"start": 393817,
"end": 395741
} | class ____(StatNode):
# cimport statement
#
# module_name string Qualified name of module being imported
# as_name string or None Name specified in "as" clause, if any
# is_absolute bool True for absolute imports, False otherwise
child_attrs = []
is_abs... | CImportStatNode |
python | spyder-ide__spyder | spyder/plugins/completion/api.py | {
"start": 17401,
"end": 17579
} | class ____:
"""Language Server Protocol event types."""
DOCUMENT = 'textDocument'
WORKSPACE = 'workspace'
WINDOW = 'window'
CODE_LENS = 'codeLens'
| LSPEventTypes |
python | celery__celery | t/unit/app/test_beat.py | {
"start": 657,
"end": 892
} | class ____:
started = False
stopped = False
def __init__(self, *args, **kwargs):
pass
def start(self, **kwargs):
self.started = True
def stop(self, **kwargs):
self.stopped = True
| MockService |
python | getlogbook__logbook | src/logbook/handlers.py | {
"start": 53285,
"end": 60145
} | class ____(Handler, StringFormatterHandlerMixin):
"""A handler class which sends formatted logging records to a
syslog server. By default it will send to it via unix socket.
"""
default_format_string = SYSLOG_FORMAT_STRING
# priorities
LOG_EMERG = 0 # system is unusable
LOG_ALERT = 1 # ... | SyslogHandler |
python | microsoft__pyright | packages/pyright-internal/src/tests/samples/inconsistentConstructor1.py | {
"start": 104,
"end": 165
} | class ____:
def __init__(self, a: int) -> None: ...
| Parent1 |
python | pytorch__pytorch | torch/_inductor/template_heuristics/triton.py | {
"start": 63838,
"end": 64723
} | class ____(MMTemplateConfigMixin):
"""
Small mixin to ensure that the workspace arg is correct for TMA
and TMA specific filtering can happen.
"""
def get_extra_kwargs(
self,
kernel_inputs: KernelInputs,
op_name: str,
) -> dict[str, Any]:
kwargs = super().get_extr... | TMAWorkspaceMixin |
python | celery__celery | t/smoke/workers/latest.py | {
"start": 198,
"end": 1761
} | class ____(CeleryWorkerContainer):
"""Defines the configurations for a Celery worker container.
This worker will install the latest version of Celery from PyPI.
"""
@property
def client(self) -> Any:
return self
@classmethod
def log_level(cls) -> str:
return "INFO"
@c... | CeleryLatestWorkerContainer |
python | jmcnamara__XlsxWriter | xlsxwriter/test/comparison/test_table34.py | {
"start": 315,
"end": 1528
} | class ____(ExcelComparisonTest):
"""
Test file created by XlsxWriter against a file created by Excel.
"""
def setUp(self):
self.set_filename("table34.xlsx")
self.ignore_files = [
"xl/calcChain.xml",
"[Content_Types].xml",
"xl/_rels/workbook.xml.rels... | TestCompareXLSXFiles |
python | tensorflow__tensorflow | tensorflow/python/ops/gradients_test.py | {
"start": 28589,
"end": 32313
} | class ____(test_util.TensorFlowTestCase):
@test_util.run_v1_only("b/120545219")
def testHessian1D(self):
# Manually compute the Hessian explicitly for a low-dimensional problem
# and check that `hessian` matches. Specifically, the Hessian of
# f(x) = x^T A x is H = A + A^T.
m = 4
rng = np.rando... | HessianTest |
python | TheAlgorithms__Python | data_structures/linked_list/middle_element_of_linked_list.py | {
"start": 144,
"end": 1543
} | class ____:
def __init__(self):
self.head = None
def push(self, new_data: int) -> int:
new_node = Node(new_data)
new_node.next = self.head
self.head = new_node
return self.head.data
def middle_element(self) -> int | None:
"""
>>> link = LinkedList()
... | LinkedList |
python | openai__openai-python | src/openai/types/vector_stores/file_batch_list_files_params.py | {
"start": 224,
"end": 1451
} | class ____(TypedDict, total=False):
vector_store_id: Required[str]
after: str
"""A cursor for use in pagination.
`after` is an object ID that defines your place in the list. For instance, if
you make a list request and receive 100 objects, ending with obj_foo, your
subsequent call can include ... | FileBatchListFilesParams |
python | fluentpython__example-code-2e | 15-more-types/cafeteria/contravariant.py | {
"start": 102,
"end": 164
} | class ____(Refuse):
"""Biodegradable refuse."""
| Biodegradable |
python | pypa__setuptools | pkg_resources/tests/test_resources.py | {
"start": 554,
"end": 1069
} | class ____(pkg_resources.EmptyProvider):
"""Mock object to return metadata as if from an on-disk distribution"""
def __init__(self, *pairs) -> None:
self.metadata = dict(pairs)
def has_metadata(self, name) -> bool:
return name in self.metadata
def get_metadata(self, name):
ret... | Metadata |
python | astropy__astropy | astropy/modeling/projections.py | {
"start": 18609,
"end": 19766
} | class ____(Pix2SkyProjection, Cylindrical):
r"""
Cylindrical perspective - pixel to sky.
Corresponds to the ``CYP`` projection in FITS WCS.
.. math::
\phi &= \frac{x}{\lambda} \\
\theta &= \arg(1, \eta) + \sin{-1}\left(\frac{\eta \mu}{\sqrt{\eta^2 + 1}}\right)
where:
.. math:... | Pix2Sky_CylindricalPerspective |
python | anthropics__anthropic-sdk-python | src/anthropic/types/citations_web_search_result_location.py | {
"start": 236,
"end": 429
} | class ____(BaseModel):
cited_text: str
encrypted_index: str
title: Optional[str] = None
type: Literal["web_search_result_location"]
url: str
| CitationsWebSearchResultLocation |
python | run-llama__llama_index | llama-index-integrations/vector_stores/llama-index-vector-stores-postgres/llama_index/vector_stores/postgres/base.py | {
"start": 6171,
"end": 50044
} | class ____(BasePydanticVectorStore):
"""
Postgres Vector Store.
Examples:
`pip install llama-index-vector-stores-postgres`
```python
from llama_index.vector_stores.postgres import PGVectorStore
# Create PGVectorStore instance
vector_store = PGVectorStore.from_param... | PGVectorStore |
python | pytorch__pytorch | tools/linter/adapters/_linter/messages.py | {
"start": 85,
"end": 224
} | class ____(str, Enum):
ERROR = "error"
WARNING = "warning"
ADVICE = "advice"
DISABLED = "disabled"
@dc.dataclass
| LintSeverity |
python | redis__redis-py | tests/test_asyncio/test_credentials.py | {
"start": 4571,
"end": 9308
} | class ____:
@skip_if_redis_enterprise()
async def test_only_pass_without_creds_provider(
self, r_required_pass_teardown, create_redis
):
# test for default user (`username` is supposed to be optional)
password = "password"
r = r_required_pass_teardown(password)
await ... | TestCredentialsProvider |
python | django__django | tests/inspectdb/models.py | {
"start": 1864,
"end": 3053
} | class ____(models.Model):
id = models.AutoField(primary_key=True)
big_int_field = models.BigIntegerField()
bool_field = models.BooleanField(default=False)
null_bool_field = models.BooleanField(null=True)
char_field = models.CharField(max_length=10)
null_char_field = models.CharField(max_length=1... | ColumnTypes |
python | fsspec__filesystem_spec | fsspec/implementations/http_sync.py | {
"start": 818,
"end": 871
} | class ____(urllib.error.HTTPError): ...
| JsHttpException |
python | huggingface__transformers | src/transformers/models/sam2_video/modeling_sam2_video.py | {
"start": 28554,
"end": 29659
} | class ____(PreTrainedModel):
config_class = Sam2VideoConfig
base_model_prefix = "sam2_video"
main_input_name = "pixel_values"
input_modalities = "video"
_supports_sdpa = True
_supports_flash_attn_2 = True
_supports_attention_backend = True
@torch.no_grad()
def _init_weights(self, mo... | Sam2VideoPreTrainedModel |
python | huggingface__transformers | src/transformers/models/unispeech/modeling_unispeech.py | {
"start": 4129,
"end": 5927
} | class ____(nn.Module):
def __init__(self, config):
super().__init__()
self.conv = nn.Conv1d(
config.hidden_size,
config.hidden_size,
kernel_size=config.num_conv_pos_embeddings,
padding=config.num_conv_pos_embeddings // 2,
groups=config.num_... | UniSpeechPositionalConvEmbedding |
python | apache__airflow | providers/standard/src/airflow/providers/standard/operators/python.py | {
"start": 41707,
"end": 51481
} | class ____(_BasePythonVirtualenvOperator):
"""
Run a function in a virtualenv that is not re-created.
Reused as is without the overhead of creating the virtual environment (with certain caveats).
The function must be defined using def, and not be
part of a class. All imports must happen inside the... | ExternalPythonOperator |
python | google__jax | tests/batching_test.py | {
"start": 1458,
"end": 49078
} | class ____(jtu.JaxTestCase):
def testConstantFunction(self):
ans = vmap(lambda x: 3)(np.ones(4))
expected = 3 * np.ones(4)
self.assertAllClose(ans, expected, check_dtypes=False)
@jax.default_matmul_precision("float32")
def testNestedBatchingMatMat(self):
matvec = vmap(jnp.vdot, in_axes=(0, None)... | BatchingTest |
python | google__jax | jax/_src/tree_util.py | {
"start": 14229,
"end": 15830
} | class ____:
pass
@export
def tree_reduce(function: Callable[[T, Any], T],
tree: Any,
initializer: T | Unspecified = Unspecified(),
is_leaf: Callable[[Any], bool] | None = None) -> T:
"""Alias of :func:`jax.tree.reduce`."""
if isinstance(initializer, Unspecified):
... | Unspecified |
python | jmcnamara__XlsxWriter | xlsxwriter/test/comparison/test_object_position16.py | {
"start": 315,
"end": 933
} | class ____(ExcelComparisonTest):
"""
Test file created by XlsxWriter against a file created by Excel.
"""
def setUp(self):
self.set_filename("object_position16.xlsx")
def test_create_file(self):
"""Test the creation of a simple XlsxWriter file with image(s)."""
workbook =... | TestCompareXLSXFiles |
python | walkccc__LeetCode | solutions/352. Data Stream as Disjoint Intervals/352.py | {
"start": 42,
"end": 1499
} | class ____:
def __init__(self):
self.intervals = SortedDict() # {start: (start, end)}
def addNum(self, val: int) -> None:
if val in self.intervals:
return
lo = self._lowerKey(val)
hi = self._higherKey(val)
# {lo, map[lo][1]} + val + {hi, map[hi][1]} = {lo, map[hi][1]}
if lo >= 0 an... | SummaryRanges |
python | google__pytype | pytype/overlays/fiddle_overlay.py | {
"start": 9789,
"end": 9976
} | class ____(Buildable):
"""An instantiation of a fiddle.Config with a particular template."""
def __init__(self, *args, **kwargs):
super().__init__("Config", *args, **kwargs)
| Config |
python | pytorch__pytorch | torch/_inductor/codegen/cutedsl/cutedsl_template.py | {
"start": 4933,
"end": 7069
} | class ____(ChoiceCaller):
"""Caller for CuteDSL templates that integrates with the autotuning system."""
def __init__(
self,
name: str,
input_nodes: list[Buffer],
layout: Layout,
make_kernel_render: Any,
bmreq: CuteDSLBenchmarkRequest,
template: "CuteDSLT... | CuteDSLTemplateCaller |
python | microsoft__pyright | packages/pyright-internal/src/tests/samples/metaclass3.py | {
"start": 405,
"end": 446
} | class ____(metaclass=Meta3):
pass
| Base4 |
python | pytorch__pytorch | test/inductor/test_control_deps.py | {
"start": 419,
"end": 2583
} | class ____(InductorTestCase):
@config.patch(reorder_for_locality=False)
@requires_gpu()
def test_control_deps_prevents_fusion(self):
def fn(a, b):
c = a + 1
d = b @ b
e = c * 2
return d, e
# Custom pass to add control dependency from d -> c
... | TestControlDeps |
python | tensorflow__tensorflow | tensorflow/python/debug/lib/debug_events_writer_test.py | {
"start": 28784,
"end": 38569
} | class ____(test_util.TensorFlowTestCase, parameterized.TestCase):
def jsonRoundTripCheck(self, obj):
self.assertEqual(
json_lib.dumps(json_lib.loads(json_lib.dumps(obj)), sort_keys=True),
json_lib.dumps(obj, sort_keys=True))
def testExecutionDigestWithNoOutputToJson(self):
execution_digest... | DataObjectsTest |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-amazon-ads/unit_tests/integrations/ad_responses/records/fields/dict_template_path.py | {
"start": 151,
"end": 426
} | class ____(Path):
def update(self, template: Dict[str, Any], value: Dict[str, Any]) -> None:
template.clear()
template.update(value)
def write(self, template: Dict[str, Any], value: Dict[str, Any]) -> None:
template.update(value)
| DictTemplatePath |
python | pypa__warehouse | warehouse/packaging/models.py | {
"start": 35655,
"end": 35833
} | class ____(db.ModelBase):
__tablename__ = "file_registry"
id: Mapped[int] = mapped_column(primary_key=True)
filename: Mapped[str] = mapped_column(unique=True)
| Filename |
python | joke2k__faker | tests/providers/test_job.py | {
"start": 3211,
"end": 3400
} | class ____:
"""Test hy_AM job provider"""
def test_job(self, faker, num_samples):
for _ in range(num_samples):
assert faker.job() in HyAmJobProvider.jobs
| TestHyAm |
python | cython__cython | Cython/Compiler/MatchCaseNodes.py | {
"start": 4309,
"end": 5709
} | class ____(Node):
"""
pattern PatternNode
body StatListNode
guard ExprNode or None
"""
child_attrs = ["pattern", "body", "guard"]
def is_irrefutable(self):
if isinstance(self.pattern, ErrorNode):
return True # value doesn't really matter
return se... | MatchCaseNode |
python | kamyu104__LeetCode-Solutions | Python/minimum-operations-to-make-the-array-alternating.py | {
"start": 62,
"end": 742
} | class ____(object):
def minimumOperations(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
even_top = collections.Counter(nums[i] for i in xrange(0, len(nums), 2)).most_common(2) # Time: O(nlogk)
odd_top = collections.Counter(nums[i] for i in xrange(1, len(nums... | Solution |
python | pytorch__pytorch | torch/profiler/_pattern_matcher.py | {
"start": 19294,
"end": 25016
} | class ____(Pattern):
def __init__(self, prof: profile, should_benchmark: bool = False) -> None:
super().__init__(prof, should_benchmark)
self.name = "Matrix Multiplication Dimension Not Aligned Pattern"
self.description = "Detected matmul with dimension not aligned. Please use matmul with al... | MatMulDimInFP16Pattern |
python | coleifer__peewee | tests/prefetch_tests.py | {
"start": 21411,
"end": 21508
} | class ____(TestModel):
name = TextField()
a = ForeignKeyField(A)
x = ForeignKeyField(X)
| B |
python | wandb__wandb | wandb/integration/dspy/dspy.py | {
"start": 1481,
"end": 15544
} | class ____(dspy.utils.BaseCallback):
"""W&B callback for tracking DSPy evaluation and optimization.
This callback logs evaluation scores, per-step predictions (optional), and
a table capturing the DSPy program signature over time. It can also save
the best program as a W&B Artifact for reproducibility.... | WandbDSPyCallback |
python | pytorch__pytorch | torch/_dynamo/variables/higher_order_ops.py | {
"start": 82326,
"end": 92046
} | class ____(TorchHigherOrderOperatorVariable):
supports_input_mutation = False
supports_aliasing = False
@raise_hard_error_if_graph_break(
reason="associative_scan must be captured completely with torch.compile."
)
def _call_function(
self,
tx: "InstructionTranslator",
... | AssociativeScanHigherOrderVariable |
python | neetcode-gh__leetcode | python/0121-best-time-to-buy-and-sell-stock.py | {
"start": 0,
"end": 272
} | class ____:
def maxProfit(self, prices: List[int]) -> int:
res = 0
lowest = prices[0]
for price in prices:
if price < lowest:
lowest = price
res = max(res, price - lowest)
return res
| Solution |
python | google__flatbuffers | python/flatbuffers/flexbuffers.py | {
"start": 27553,
"end": 44454
} | class ____:
"""Helper class to encode structural data into flexbuffers format."""
def __init__(
self,
share_strings=False,
share_keys=True,
force_min_bit_width=BitWidth.W8,
):
self._share_strings = share_strings
self._share_keys = share_keys
self._force_min_bit_width = force_m... | Builder |
python | google__flatbuffers | python/flatbuffers/number_types.py | {
"start": 2637,
"end": 2680
} | class ____(Uint32Flags):
pass
| UOffsetTFlags |
python | falconry__falcon | tests/test_after_hooks.py | {
"start": 4354,
"end": 4541
} | class ____:
@falcon.after(fluffiness_in_the_head, 'fluffy')
async def on_get(self, req, resp, field1, field2):
self.fields = (field1, field2)
| ClassResourceWithURIFieldsAsync |
python | airbytehq__airbyte | airbyte-integrations/bases/connector-acceptance-test/connector_acceptance_test/utils/backward_compatibility.py | {
"start": 11894,
"end": 14985
} | class ____(BaseDiffChecker):
"""A class to perform backward compatibility checks on a discoverd catalog diff"""
context = BackwardIncompatibilityContext.DISCOVER
def compute_diffs(self):
self.streams_json_schemas_diff = DeepDiff(
{stream_name: airbyte_stream.dict().pop("json_schema") f... | CatalogDiffChecker |
python | numpy__numpy | numpy/f2py/tests/test_common.py | {
"start": 74,
"end": 459
} | class ____(util.F2PyTest):
sources = [util.getpath("tests", "src", "common", "block.f")]
def test_common_block(self):
self.module.initcb()
assert self.module.block.long_bn == np.array(1.0, dtype=np.float64)
assert self.module.block.string_bn == np.array("2", dtype="|S1")
assert ... | TestCommonBlock |
python | allegroai__clearml | clearml/backend_api/services/v2_23/datasets.py | {
"start": 21552,
"end": 29512
} | class ____(NonStrictDataModel):
"""
:param id: Frame id. Must be unique within the dataset's version. If already
exists, will cause existing frame to be updated
:type id: str
:param context_id: Context ID. Used for the default frames sorting. If not set
then it is filled from the uri of ... | Frame |
python | apache__airflow | providers/google/tests/unit/google/cloud/transfers/test_bigquery_to_mysql.py | {
"start": 1694,
"end": 6413
} | class ____:
@mock.patch("airflow.providers.google.cloud.transfers.bigquery_to_sql.BigQueryHook")
def test_execute_good_request_to_bq(self, mock_hook):
destination_table = "table"
operator = BigQueryToMySqlOperator(
task_id=TASK_ID,
dataset_table=f"{TEST_DATASET}.{TEST_TAB... | TestBigQueryToMySqlOperator |
python | huggingface__transformers | src/transformers/models/markuplm/modeling_markuplm.py | {
"start": 30422,
"end": 34640
} | class ____(MarkupLMPreTrainedModel):
# Copied from transformers.models.bert.modeling_bert.BertForTokenClassification.__init__ with bert->markuplm, Bert->MarkupLM
def __init__(self, config):
super().__init__(config)
self.num_labels = config.num_labels
self.markuplm = MarkupLMModel(config... | MarkupLMForTokenClassification |
python | huggingface__transformers | src/transformers/models/rt_detr/modeling_rt_detr_resnet.py | {
"start": 12508,
"end": 15247
} | class ____(RTDetrResNetPreTrainedModel, BackboneMixin):
has_attentions = False
def __init__(self, config):
super().__init__(config)
super()._init_backbone(config)
self.num_features = [config.embedding_size] + config.hidden_sizes
self.embedder = RTDetrResNetEmbeddings(config)
... | RTDetrResNetBackbone |
python | plotly__plotly.py | plotly/graph_objs/sankey/_legendgrouptitle.py | {
"start": 233,
"end": 2932
} | class ____(_BaseTraceHierarchyType):
_parent_path_str = "sankey"
_path_str = "sankey.legendgrouptitle"
_valid_props = {"font", "text"}
@property
def font(self):
"""
Sets this legend group's title font.
The 'font' property is an instance of Font
that may be specified... | Legendgrouptitle |
python | tensorflow__tensorflow | tensorflow/python/feature_column/feature_column_v2_test.py | {
"start": 142635,
"end": 158831
} | class ____(test.TestCase):
def test_defaults_string(self):
column = fc.categorical_column_with_vocabulary_list(
key='aaa', vocabulary_list=('omar', 'stringer', 'marlo'))
self.assertEqual('aaa', column.name)
self.assertEqual('aaa', column.key)
self.assertEqual(3, column.num_buckets)
self.a... | VocabularyListCategoricalColumnTest |
python | pydantic__pydantic | pydantic-core/python/pydantic_core/core_schema.py | {
"start": 64058,
"end": 66051
} | class ____(TypedDict, total=False):
type: Required[Literal['generator']]
items_schema: CoreSchema
min_length: int
max_length: int
ref: str
metadata: dict[str, Any]
serialization: IncExSeqOrElseSerSchema
def generator_schema(
items_schema: CoreSchema | None = None,
*,
min_length... | GeneratorSchema |
python | getsentry__sentry | src/sentry/integrations/messaging/linkage.py | {
"start": 4037,
"end": 10490
} | class ____(LinkageView, ABC):
@property
@abstractmethod
def external_id_parameter(self) -> str:
raise NotImplementedError
# TODO: Replace thw two template properties below with base templates for all
# integrations to use. Add service-specific parts to the context as needed.
@pro... | IdentityLinkageView |
python | huggingface__transformers | tests/models/umt5/test_modeling_umt5.py | {
"start": 18937,
"end": 20988
} | class ____(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
all_model_classes = (UMT5EncoderModel, UMT5ForTokenClassification) if is_torch_available() else ()
test_resize_embeddings = False
pipeline_model_mapping = (
{
"token-classification": UMT5ForTokenClassification,
... | UMT5EncoderOnlyModelTest |
python | django__django | tests/async/models.py | {
"start": 300,
"end": 389
} | class ____(models.Model):
simples = models.ManyToManyField("SimpleModel")
| ManyToManyModel |
python | pypa__pip | src/pip/_vendor/pygments/lexer.py | {
"start": 12100,
"end": 12247
} | class ____(str): # pylint: disable=invalid-name
"""
Indicates that a state should include rules from another state.
"""
pass
| include |
python | pandas-dev__pandas | asv_bench/benchmarks/reshape.py | {
"start": 5195,
"end": 6948
} | class ____:
def setup(self):
N = 100000
fac1 = np.array(["A", "B", "C"], dtype="O")
fac2 = np.array(["one", "two"], dtype="O")
ind1 = np.random.randint(0, 3, size=N)
ind2 = np.random.randint(0, 2, size=N)
self.df = DataFrame(
{
"key1": fac1... | PivotTable |
python | ray-project__ray | python/ray/autoscaler/_private/gcp/node.py | {
"start": 517,
"end": 3477
} | class ____ from ``GCPNode``. Those classes are essentially dicts
with some extra methods. The instances of those classes will be created
from API responses.
The ``GCPNodeType`` enum is a lightweight way to classify nodes.
Currently, Compute and TPU resources & nodes are supported.
In order to add support for new res... | inheriting |
python | getsentry__sentry-python | sentry_sdk/integrations/rust_tracing.py | {
"start": 1392,
"end": 4050
} | class ____(Enum):
Ignore = auto()
Exc = auto()
Breadcrumb = auto()
Event = auto()
def tracing_level_to_sentry_level(level):
# type: (str) -> sentry_sdk._types.LogLevelStr
level = RustTracingLevel(level)
if level in (RustTracingLevel.Trace, RustTracingLevel.Debug):
return "debug"
... | EventTypeMapping |
python | lepture__authlib | authlib/oidc/core/claims.py | {
"start": 6849,
"end": 6953
} | class ____(IDToken):
RESPONSE_TYPES = ("code",)
REGISTERED_CLAIMS = _REGISTERED_CLAIMS
| CodeIDToken |
python | sqlalchemy__sqlalchemy | test/sql/test_operators.py | {
"start": 155494,
"end": 157239
} | class ____(fixtures.TestBase):
def _assert_types(self, expr):
eq_(expr[0]._type_affinity, Integer)
eq_(expr[1]._type_affinity, String)
eq_(expr[2]._type_affinity, LargeBinary()._type_affinity)
def test_type_coercion_on_eq(self):
a, b, c = (
column("a", Integer),
... | TupleTypingTest |
python | sympy__sympy | sympy/polys/polyoptions.py | {
"start": 18337,
"end": 18545
} | class ____(BooleanOption, Flag, metaclass=OptionType):
"""``formal`` flag to polynomial manipulation functions. """
option = 'formal'
@classmethod
def default(cls):
return False
| Formal |
python | sanic-org__sanic | sanic/http/http3.py | {
"start": 2549,
"end": 8428
} | class ____(Receiver, Stream):
"""HTTP/3 receiver implementation."""
stage: Stage
request: Request
def __init__(self, *args, **kwargs) -> None:
super().__init__(*args, **kwargs)
self.request_body = None
self.stage = Stage.IDLE
self.headers_sent = False
self.respo... | HTTPReceiver |
python | dask__dask | dask/dataframe/dask_expr/_expr.py | {
"start": 92425,
"end": 93095
} | class ____(Elemwise):
_parameters = ["frame"]
def __str__(self):
return f"{self._operator_repr} {self.frame}"
def _simplify_up(self, parent, dependents):
if isinstance(parent, Projection):
if isinstance(self.frame, Expr):
return plain_column_projection(self, par... | Unaryop |
python | apache__airflow | providers/teradata/tests/unit/teradata/hooks/test_tpt.py | {
"start": 954,
"end": 9965
} | class ____:
@patch("airflow.providers.teradata.hooks.tpt.SSHHook")
@patch("airflow.models.Connection")
def test_init_with_ssh(self, mock_conn, mock_ssh_hook):
hook = TptHook(ssh_conn_id="ssh_default")
assert hook.ssh_conn_id == "ssh_default"
assert hook.ssh_hook is not None
@pat... | TestTptHook |
python | walkccc__LeetCode | solutions/1780. Check if Number is a Sum of Powers of Three/1780.py | {
"start": 0,
"end": 161
} | class ____:
def checkPowersOfThree(self, n: int) -> bool:
while n > 1:
n, r = divmod(n, 3)
if r == 2:
return False
return True
| Solution |
python | plotly__plotly.py | plotly/graph_objs/scattercarpet/_unselected.py | {
"start": 233,
"end": 3432
} | class ____(_BaseTraceHierarchyType):
_parent_path_str = "scattercarpet"
_path_str = "scattercarpet.unselected"
_valid_props = {"marker", "textfont"}
@property
def marker(self):
"""
The 'marker' property is an instance of Marker
that may be specified as:
- An instan... | Unselected |
python | numba__llvmlite | versioneer.py | {
"start": 34312,
"end": 35895
} | class ____(_build):
def run(self):
versions = get_versions(verbose=True)
_build.run(self)
# now locate _version.py in the new build/ directory and replace it
# with an updated value
if versionfile_build:
target_versionfile = os.path.join(self.build_lib,
... | cmd_build |
python | ethereum__web3.py | web3/contract/contract.py | {
"start": 1909,
"end": 6859
} | class ____(BaseContractEvent):
# mypy types
w3: "Web3"
@combomethod
def get_logs(
self,
argument_filters: dict[str, Any] | None = None,
from_block: BlockIdentifier | None = None,
to_block: BlockIdentifier | None = None,
block_hash: HexBytes | None = None,
) -... | ContractEvent |
python | airbytehq__airbyte | airbyte-integrations/connectors/source-rki-covid/source_rki_covid/source.py | {
"start": 12646,
"end": 14704
} | class ____(IncrementalRkiCovidStream):
"""Docs: https://api.corona-zahlen.org/germany/germany/history/frozen-incidence/:days"""
primary_key = None
def __init__(self, config, **kwargs):
super().__init__(**kwargs)
self.start_date = config.get("start_date")
@property
def source_defin... | GermanHistoryFrozenIncidence |
python | tensorflow__tensorflow | tensorflow/compiler/mlir/quantization/stablehlo/python/integration_test/quantize_model_test.py | {
"start": 36945,
"end": 41468
} | class ____(quantize_model_test_base.QuantizedModelTest):
"""Test cases regarding the use of CalibrationOptions proto.
Run all tests cases in both the graph mode (default in TF1) and the eager mode
(default in TF2) to ensure support for when TF2 is disabled.
"""
@parameterized.parameters(
{
'... | CalibrationOptionsTest |
python | huggingface__transformers | src/transformers/models/hunyuan_v1_dense/modular_hunyuan_v1_dense.py | {
"start": 1543,
"end": 2004
} | class ____(LlamaMLP):
def __init__(self, config: HunYuanDenseV1Config, layer_idx=None, is_shared_mlp=False):
super().__init__(config)
self.layer_idx = layer_idx
self.gate_proj = nn.Linear(self.hidden_size, self.intermediate_size, bias=False)
self.up_proj = nn.Linear(self.hidden_size,... | HunYuanDenseV1MLP |
python | sqlalchemy__sqlalchemy | lib/sqlalchemy/engine/interfaces.py | {
"start": 108531,
"end": 113680
} | class ____:
"""Encapsulate information about an error condition in progress.
This object exists solely to be passed to the
:meth:`_events.DialectEvents.handle_error` event,
supporting an interface that
can be extended without backwards-incompatibility.
"""
__slots__ = ()
dialect: Di... | ExceptionContext |
python | MorvanZhou__Reinforcement-learning-with-tensorflow | contents/5_Deep_Q_Network/DQN_modified.py | {
"start": 434,
"end": 6566
} | class ____:
def __init__(
self,
n_actions,
n_features,
learning_rate=0.01,
reward_decay=0.9,
e_greedy=0.9,
replace_target_iter=300,
memory_size=500,
batch_size=32,
e_greedy_increment=None,
... | DeepQNetwork |
python | huggingface__transformers | src/transformers/models/parakeet/modeling_parakeet.py | {
"start": 11138,
"end": 16119
} | class ____(nn.Module):
"""Multi-head attention with relative positional encoding. See section 3.3 of https://huggingface.co/papers/1901.02860."""
def __init__(self, config: ParakeetEncoderConfig, layer_idx: int):
super().__init__()
self.config = config
self.layer_idx = layer_idx
... | ParakeetEncoderAttention |
python | gabrielfalcao__HTTPretty | httpretty/core.py | {
"start": 13979,
"end": 14323
} | class ____(object):
def __init__(self, fakesocket):
self.fakesocket = fakesocket
def __getitem__(self, *args, **kw):
raise AssertionError('socket {} is not connected'.format(self.fakesocket.truesock))
def fake_socketpair(*args, **kw):
with restored_libs():
return old_socketpair(*a... | FakeAddressTuple |
python | getsentry__sentry | src/sentry/models/release.py | {
"start": 2042,
"end": 2155
} | class ____(TypedDict, total=False):
author: CommitAuthor
message: str
date_added: str
| _CommitDataKwargs |
python | cython__cython | tests/run/ext_auto_richcmp.py | {
"start": 71,
"end": 307
} | class ____(object):
x = cython.declare(cython.int)
def __init__(self, x):
self.x = x
def __repr__(self):
return "<%d>" % self.x
@cython.cfunc
@cython.locals(x=X)
def x_of(x):
return x.x
@cython.cclass
| X |
python | google__pytype | pytype/tests/test_builtins2.py | {
"start": 211,
"end": 20575
} | class ____(test_base.BaseTest):
"""Tests for builtin methods and classes."""
def test_div_mod_with_unknown(self):
ty = self.Infer("""
def f(x, y):
divmod(x, __any_object__)
return divmod(3, y)
""")
self.assertTypesMatchPytd(
ty,
"""
from typing import Any, Tu... | BuiltinTests2 |
python | realpython__materials | python-property/users.py | {
"start": 27,
"end": 444
} | class ____:
def __init__(self, name, password):
self.name = name
self.password = password
@property
def password(self):
raise AttributeError("Password is write-only")
@password.setter
def password(self, plaintext):
salt = os.urandom(32)
self._hashed_password... | User |
python | getsentry__sentry | src/sentry/api/serializers/models/team.py | {
"start": 4264,
"end": 4471
} | class ____(TypedDict, total=False):
externalTeams: list[ExternalActorResponse]
organization: OrganizationSerializerResponse
projects: list[ProjectSerializerResponse]
| _TeamSerializerResponseOptional |
python | great-expectations__great_expectations | contrib/great_expectations_semantic_types_expectations/great_expectations_semantic_types_expectations/expectations/expect_column_values_to_be_valid_mbti.py | {
"start": 1567,
"end": 3750
} | class ____(ColumnMapExpectation):
"""Expect column values to conform to the valid Myers-Briggs Type Indicator (MBTI)."""
# These examples will be shown in the public gallery.
# They will also be executed as unit tests for your Expectation.
examples = [
{
"data": {
"w... | ExpectColumnValuesToBeValidMbti |
python | Lightning-AI__lightning | src/lightning/pytorch/trainer/connectors/callback_connector.py | {
"start": 1690,
"end": 11886
} | class ____:
def __init__(self, trainer: "pl.Trainer"):
self.trainer = trainer
def on_trainer_init(
self,
callbacks: Optional[Union[list[Callback], Callback]],
enable_checkpointing: bool,
enable_progress_bar: bool,
default_root_dir: Optional[str],
enable_m... | _CallbackConnector |
python | google__jax | jax/_src/interpreters/ad.py | {
"start": 66249,
"end": 66957
} | class ____(Exception):
def __init__(self):
# TODO(mattjj): track source provenance on AD tracers, improve error
msg = ("Detected differentiation of a custom_vjp function with respect to "
"a closed-over value. That isn't supported because the custom VJP "
"rule only specifies how to diff... | CustomVJPException |
python | getsentry__sentry | tests/sentry/notifications/api/endpoints/test_user_notification_email.py | {
"start": 208,
"end": 632
} | class ____(APITestCase):
endpoint = "sentry-api-0-user-notifications-email"
def setUp(self) -> None:
self.organization2 = self.create_organization(name="Another Org", owner=self.user)
self.project2 = self.create_project(
organization=self.organization, teams=[self.team], name="Anoth... | UserNotificationEmailTestBase |
python | kamyu104__LeetCode-Solutions | Python/check-if-the-number-is-fascinating.py | {
"start": 51,
"end": 518
} | class ____(object):
def isFascinating(self, n):
"""
:type n: int
:rtype: bool
"""
lookup = [0]
def check(x):
while x:
x, d = divmod(x, 10)
if d == 0 or lookup[0]&(1<<d):
return False
looku... | Solution |
python | pytorch__pytorch | test/dynamo/test_autograd_function.py | {
"start": 4922,
"end": 5231
} | class ____(torch.autograd.Function):
@staticmethod
def forward(ctx, x):
with torch.no_grad():
ctx.save_for_backward(x)
ctx.mark_non_differentiable(x)
return x
@staticmethod
def backward(ctx, grad_output):
return grad_output
| ContextSaveAndMark |
python | huggingface__transformers | src/transformers/models/bert_generation/modeling_bert_generation.py | {
"start": 26468,
"end": 30836
} | class ____(BertGenerationPreTrainedModel, GenerationMixin):
_tied_weights_keys = {
"lm_head.decoder.weight": "bert.embeddings.word_embeddings.weight",
"lm_head.decoder.bias": "lm_head.bias",
}
def __init__(self, config):
super().__init__(config)
if not config.is_decoder:
... | BertGenerationDecoder |
python | facebookresearch__faiss | tests/test_search_params.py | {
"start": 18219,
"end": 19570
} | class ____(unittest.TestCase):
""" to test the sorted id bounds, there are a few cases to consider """
def do_test_sorted(self, imin, imax, n=100):
selr = faiss.IDSelectorRange(imin, imax, True)
sp = faiss.swig_ptr
for seed in range(10):
rs = np.random.RandomState(seed)
... | TestSortedIDSelectorRange |
python | apache__airflow | airflow-ctl/src/airflowctl/api/datamodels/generated.py | {
"start": 13597,
"end": 14547
} | class ____(BaseModel):
"""
Event Log Response.
"""
event_log_id: Annotated[int, Field(title="Event Log Id")]
when: Annotated[datetime, Field(title="When")]
dag_id: Annotated[str | None, Field(title="Dag Id")] = None
task_id: Annotated[str | None, Field(title="Task Id")] = None
run_id: A... | EventLogResponse |
python | apache__airflow | providers/microsoft/azure/tests/unit/microsoft/azure/operators/test_adx.py | {
"start": 2000,
"end": 2058
} | class ____:
primary_results = [MOCK_RESULT]
| MockResponse |
python | spack__spack | lib/spack/spack/llnl/util/filesystem.py | {
"start": 95079,
"end": 110618
} | class ____:
"""Uses hybrid iterative deepening to locate the first matching
file. Up to depth ``bfs_depth`` it uses iterative deepening, which
mimics breadth-first with the same memory footprint as depth-first
search, after which it switches to ordinary depth-first search using
``os.walk``."""
... | FindFirstFile |
python | great-expectations__great_expectations | contrib/great_expectations_semantic_types_expectations/great_expectations_semantic_types_expectations/expectations/expect_column_values_to_be_valid_mime.py | {
"start": 1619,
"end": 4091
} | class ____(ColumnMapExpectation):
"""Expect column values to be valid MIME types."""
# These examples will be shown in the public gallery.
# They will also be executed as unit tests for your Expectation.
examples = [
{
"data": {
"well_formed_mime": [
... | ExpectColumnValuesToBeValidMIME |
python | bokeh__bokeh | src/bokeh/protocol/message.py | {
"start": 3111,
"end": 3229
} | class ____(TypedDict):
msgid: ID
msgtype: str
reqid: NotRequired[ID]
num_buffers: NotRequired[int]
| Header |
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