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 | gevent__gevent | src/greentest/3.14/test_smtplib.py | {
"start": 28876,
"end": 29421
} | class ____(unittest.TestCase):
def setUp(self):
smtplib.socket = mock_socket
mock_socket.reply_with(b"199 no hello for you!")
self.old_stdout = sys.stdout
self.output = io.StringIO()
sys.stdout = self.output
self.port = 25
def tearDown(self):
smtplib.soc... | BadHELOServerTests |
python | tensorflow__tensorflow | tensorflow/compiler/tests/float_ops_test.py | {
"start": 868,
"end": 17917
} | class ____(xla_test.XLATestCase):
def test_float_ops(self):
with self.session() as session:
for dtype in self.float_types:
x = np.arange(-0.90, 0.90, 0.25)
self.assert_op_output_matches_expected(
math_ops.acos,
x.astype(dtype),
expected=np.arccos(x).astyp... | FloatOpsTest |
python | pytorch__pytorch | torch/onnx/_internal/torchscript_exporter/_type_utils.py | {
"start": 1086,
"end": 13980
} | class ____(enum.IntEnum):
"""Scalar types defined in torch.
Use ``JitScalarType`` to convert from torch and JIT scalar types to ONNX scalar types.
Examples:
>>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_ONNX)
>>> # xdoctest: +IGNORE_WANT("win32 has different output")
>>> JitScalarTyp... | JitScalarType |
python | arrow-py__arrow | tests/test_locales.py | {
"start": 75041,
"end": 75696
} | class ____:
def test_ordinal_number(self):
assert self.locale._ordinal_number(0) == "0তম"
assert self.locale._ordinal_number(1) == "1ম"
assert self.locale._ordinal_number(3) == "3য়"
assert self.locale._ordinal_number(4) == "4র্থ"
assert self.locale._ordinal_number(5) == "5ম"... | TestBengaliLocale |
python | tornadoweb__tornado | tornado/test/tcpserver_test.py | {
"start": 3814,
"end": 7711
} | class ____(unittest.TestCase):
# These tests verify that the two multiprocess examples from the
# TCPServer docs work. Both tests start a server with three worker
# processes, each of which prints its task id to stdout (a single
# byte, so we don't have to worry about atomicity of the shared
# stdou... | TestMultiprocess |
python | ray-project__ray | python/ray/data/preprocessors/discretizer.py | {
"start": 2285,
"end": 7217
} | class ____(_AbstractKBinsDiscretizer):
"""Bin values into discrete intervals using custom bin edges.
Columns must contain numerical values.
Examples:
Use :class:`CustomKBinsDiscretizer` to bin continuous features.
>>> import pandas as pd
>>> import ray
>>> from ray.data.pr... | CustomKBinsDiscretizer |
python | pytorch__pytorch | torchgen/api/lazy.py | {
"start": 11456,
"end": 17053
} | class ____:
# The name of the operator this function schema describes.
name: OperatorName
positional_args: tuple[LazyArgument, ...]
keyword_args: tuple[LazyArgument, ...]
# TODO: Need to handle collisions with argument names at some point
returns: tuple[Return, ...]
# if this schema has a... | LazyIrSchema |
python | tensorflow__tensorflow | tensorflow/python/framework/extension_type.py | {
"start": 3908,
"end": 15230
} | class ____(
composite_tensor.CompositeTensor, metaclass=ExtensionTypeMetaclass
):
"""Base class for TensorFlow `ExtensionType` classes.
Tensorflow `ExtensionType` classes are specialized Python classes that can be
used transparently with TensorFlow -- e.g., they can be used with ops
such as `tf.cond` or `t... | ExtensionType |
python | modin-project__modin | modin/pandas/groupby.py | {
"start": 3090,
"end": 70034
} | class ____(ClassLogger, QueryCompilerCaster): # noqa: GL08
_pandas_class = pandas.core.groupby.DataFrameGroupBy
_return_tuple_when_iterating = False
_df: Union[DataFrame, Series]
_query_compiler: BaseQueryCompiler
_extensions: EXTENSION_DICT_TYPE = EXTENSION_DICT_TYPE(dict)
def __init__(
... | DataFrameGroupBy |
python | huggingface__transformers | tests/models/altclip/test_modeling_altclip.py | {
"start": 14616,
"end": 16674
} | class ____(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
all_model_classes = (AltCLIPModel,) if is_torch_available() else ()
pipeline_model_mapping = {"feature-extraction": AltCLIPModel} if is_torch_available() else {}
test_resize_embeddings = False
test_attention_outputs = False
# TO... | AltCLIPModelTest |
python | ansible__ansible | test/units/module_utils/facts/test_collectors.py | {
"start": 8339,
"end": 9017
} | class ____(BaseFactsTest):
__test__ = True
gather_subset = ['!all', 'pkg_mgr']
valid_subsets = ['pkg_mgr']
fact_namespace = 'ansible_pkgmgr'
collector_class = PkgMgrFactCollector
collected_facts = {
"ansible_distribution": "Fedora",
"ansible_distribution_major_version": "28",
... | TestPkgMgrFacts |
python | cython__cython | Cython/Debugger/Tests/test_libcython_in_gdb.py | {
"start": 13564,
"end": 13922
} | class ____(DebugTestCase):
def test_updown(self):
self.break_and_run('os.path.join("foo", "bar")')
gdb.execute('cy step')
self.assertRaises(RuntimeError, gdb.execute, 'cy down')
result = gdb.execute('cy up', to_string=True)
assert 'spam()' in result
assert 'os.path.... | TestUpDown |
python | pallets__jinja | tests/test_inheritance.py | {
"start": 12198,
"end": 13504
} | class ____:
def test_fixed_macro_scoping_bug(self, env):
assert Environment(
loader=DictLoader(
{
"test.html": """\
{% extends 'details.html' %}
{% macro my_macro() %}
my_macro
{% endmacro %}
{% block inner_box %}
... | TestBugFix |
python | spack__spack | var/spack/test_repos/spack_repo/builtin_mock/packages/gmake/package.py | {
"start": 217,
"end": 847
} | class ____(Package):
"""Dummy GMake Package"""
homepage = "https://www.gnu.org/software/make"
url = "https://ftpmirror.gnu.org/make/make-4.4.tar.gz"
tags = ["build-tools"]
version("4.4", sha256="ce35865411f0490368a8fc383f29071de6690cbadc27704734978221f25e2bed")
version("3.0", sha256="ce358654... | Gmake |
python | weaviate__weaviate-python-client | weaviate/aliases/alias.py | {
"start": 63,
"end": 248
} | class ____(BaseModel):
"""Returned aliases from Weaviate."""
alias: str
collection: str
_WeaviateAlias = TypedDict("_WeaviateAlias", {"alias": str, "class": str})
| AliasReturn |
python | getsentry__sentry | src/sentry/conf/types/topic_definition.py | {
"start": 67,
"end": 225
} | class ____(TypedDict):
cluster: str
# The topic name may be overridden from the default via KAFKA_TOPIC_OVERRIDES
real_topic_name: str
| TopicDefinition |
python | boto__boto3 | boto3/resources/action.py | {
"start": 3546,
"end": 6333
} | class ____(ServiceAction):
"""
An action which operates on a batch of items in a collection, typically
a single page of results from the collection's underlying service
operation call. For example, this allows you to delete up to 999
S3 objects in a single operation rather than calling ``.delete()``... | BatchAction |
python | django__django | tests/m2m_regress/tests.py | {
"start": 268,
"end": 5102
} | class ____(TestCase):
def test_multiple_m2m(self):
# Multiple m2m references to model must be distinguished when
# accessing the relations through an instance attribute.
s1 = SelfRefer.objects.create(name="s1")
s2 = SelfRefer.objects.create(name="s2")
s3 = SelfRefer.objects.... | M2MRegressionTests |
python | dagster-io__dagster | examples/project_fully_featured/project_fully_featured/resources/hn_resource.py | {
"start": 632,
"end": 1037
} | class ____(HNClient):
def fetch_item_by_id(self, item_id: int) -> Optional[HNItemRecord]:
item_url = f"{HN_BASE_URL}/item/{item_id}.json"
item = requests.get(item_url, timeout=5).json()
return item
def fetch_max_item_id(self) -> int:
return requests.get(f"{HN_BASE_URL}/maxitem.j... | HNAPIClient |
python | huggingface__transformers | src/transformers/models/mimi/modeling_mimi.py | {
"start": 7005,
"end": 8226
} | class ____(ModelOutput):
r"""
audio_codes (`torch.LongTensor` of shape `(batch_size, num_quantizers, codes_length)`, *optional*):
Discret code embeddings computed using `model.encode`.
encoder_past_key_values (`Cache`, *optional*):
Pre-computed hidden-states (key and values in the self-atte... | MimiEncoderOutput |
python | conda__conda | conda/common/configuration.py | {
"start": 5497,
"end": 6354
} | class ____(metaclass=ABCMeta):
def __init__(self, source, key, raw_value):
self.source = source
self.key = key
try:
self._raw_value = raw_value.decode("utf-8")
except AttributeError:
# AttributeError: raw_value is not encoded
self._raw_value = raw_... | RawParameter |
python | kamyu104__LeetCode-Solutions | Python/number-of-good-paths.py | {
"start": 54,
"end": 1026
} | class ____(object): # Time: O(n * alpha(n)), Space: O(n)
def __init__(self, vals):
self.set = range(len(vals))
self.rank = [0]*len(vals)
self.cnt = [collections.Counter({v:1}) for v in vals] # added
def find_set(self, x):
stk = []
while self.set[x] != x: # path compr... | UnionFind |
python | kubernetes-client__python | kubernetes/client/models/v1_priority_level_configuration.py | {
"start": 383,
"end": 7676
} | 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... | V1PriorityLevelConfiguration |
python | urllib3__urllib3 | test/with_dummyserver/test_connectionpool.py | {
"start": 57321,
"end": 57742
} | class ____(HypercornDummyServerTestCase):
def test_pool_size_retry(self) -> None:
retries = Retry(total=1, raise_on_status=False, status_forcelist=[404])
with HTTPConnectionPool(
self.host, self.port, maxsize=10, retries=retries, block=True
) as pool:
pool.urlopen("GE... | TestRetryPoolSize |
python | joke2k__faker | faker/providers/color/ar_PS/__init__.py | {
"start": 80,
"end": 5782
} | class ____(ColorProvider):
"""Implement color provider for ``ar_PS`` locale."""
all_colors = OrderedDict(
(
("أزرق أليس", "#F0F8FF"),
("أبيض عتيق", "#FAEBD7"),
("مائي", "#00FFFF"),
("زبرجدي", "#7FFFD4"),
("لازوردي", "#F0FFFF"),
("ص... | Provider |
python | davidhalter__jedi | test/completion/classes.py | {
"start": 4054,
"end": 4142
} | class ____(object):
def sum(self, a, b):
self.xxx = 3
return a + b
| Calc |
python | charliermarsh__ruff | crates/ruff_linter/resources/test/fixtures/flake8_comprehensions/C420_3.py | {
"start": 333,
"end": 884
} | class ____:
a = None
def func():
{(C.a,): None for (C.a,) in "abc"} # OK
def func():
obj = type('obj', (), {'attr': 1})()
{(obj.attr,): None for (obj.attr,) in "abc"} # OK
def func():
lst = [1, 2, 3]
{(lst[0],): None for (lst[0],) in "abc"} # OK
def func():
lst = [1, 2, 3, 4, 5]
... | C |
python | airbytehq__airbyte | airbyte-ci/connectors/pipelines/pipelines/airbyte_ci/connectors/test/steps/python_connectors.py | {
"start": 8923,
"end": 11077
} | class ____(Step):
"""Validate the connector can be installed and invoked via Python, using PyAirbyte.
When this fails, it generally signals that the connector is not installable or not
runnable in a Python environment. The most common reasons for this are:
1. Conflicting dependencies.
2. Missing de... | PyAirbyteValidation |
python | sphinx-doc__sphinx | sphinx/domains/cpp/_ast.py | {
"start": 47494,
"end": 49051
} | class ____(ASTBase):
def __init__(
self, exprs: list[ASTExpression | ASTBracedInitList], trailingComma: bool
) -> None:
self.exprs = exprs
self.trailingComma = trailingComma
def __eq__(self, other: object) -> bool:
if not isinstance(other, ASTBracedInitList):
ret... | ASTBracedInitList |
python | ApeWorX__ape | src/ape_pm/dependency.py | {
"start": 3026,
"end": 9031
} | class ____(DependencyAPI):
"""
A dependency from GitHub. Use the ``github`` key in your ``dependencies:``
section of your ``ape-config.yaml`` file to declare a dependency from GitHub.
Config example::
dependencies:
- name: OpenZeppelin
github: OpenZeppelin/openzeppelin-co... | GithubDependency |
python | doocs__leetcode | solution/2300-2399/2301.Match Substring After Replacement/Solution2.py | {
"start": 0,
"end": 433
} | class ____:
def matchReplacement(self, s: str, sub: str, mappings: List[List[str]]) -> bool:
d = [[False] * 128 for _ in range(128)]
for a, b in mappings:
d[ord(a)][ord(b)] = True
for i in range(len(s) - len(sub) + 1):
if all(
a == b or d[ord(b)][ord(a... | Solution |
python | pytorch__pytorch | .github/scripts/test_filter_test_configs.py | {
"start": 7855,
"end": 35353
} | class ____(TestCase):
def setUp(self) -> None:
os.environ["GITHUB_TOKEN"] = "GITHUB_TOKEN"
if os.getenv("GITHUB_OUTPUT"):
del os.environ["GITHUB_OUTPUT"]
def tearDown(self) -> None:
if os.getenv("GITHUB_OUTPUT"):
os.remove(str(os.getenv("GITHUB_OUTPUT")))
@m... | TestConfigFilter |
python | getsentry__sentry | src/sentry/core/endpoints/team_projects.py | {
"start": 5330,
"end": 5488
} | class ____(TypedDict):
request: Request
organization: Organization
target_object: int
@extend_schema(tags=["Teams"])
@region_silo_endpoint
| AuditData |
python | tensorflow__tensorflow | tensorflow/python/autograph/core/converter_test.py | {
"start": 1111,
"end": 1157
} | class ____(converter.Base):
pass
| TestConverter |
python | jmcnamara__XlsxWriter | xlsxwriter/test/comparison/test_array_formula03.py | {
"start": 315,
"end": 1572
} | class ____(ExcelComparisonTest):
"""
Test file created by XlsxWriter against a file created by Excel.
"""
def setUp(self):
self.set_filename("array_formula03.xlsx")
self.ignore_files = [
"xl/calcChain.xml",
"[Content_Types].xml",
"xl/_rels/workbook.... | TestCompareXLSXFiles |
python | openai__openai-python | tests/api_resources/uploads/test_parts.py | {
"start": 2114,
"end": 4032
} | class ____:
parametrize = pytest.mark.parametrize(
"async_client", [False, True, {"http_client": "aiohttp"}], indirect=True, ids=["loose", "strict", "aiohttp"]
)
@parametrize
async def test_method_create(self, async_client: AsyncOpenAI) -> None:
part = await async_client.uploads.parts.c... | TestAsyncParts |
python | Pylons__pyramid | tests/test_viewderivers.py | {
"start": 70982,
"end": 71170
} | class ____:
def __init__(self, permitted=True):
self.permitted = permitted
def permits(self, request, context, permission):
return self.permitted
| DummySecurityPolicy |
python | jmcnamara__XlsxWriter | xlsxwriter/test/workbook/test_overlap_exceptions.py | {
"start": 350,
"end": 3369
} | class ____(unittest.TestCase):
"""
Test overlapping merge and table ranges.
"""
def setUp(self):
fh = StringIO()
workbook = Workbook()
workbook._set_filehandle(fh)
self.workbook = workbook
def test_overlaps01(self):
"""Test Worksheet range overlap exception... | TestOverlapRanges |
python | apache__airflow | providers/fab/src/airflow/providers/fab/auth_manager/api_fastapi/services/login.py | {
"start": 1343,
"end": 2627
} | class ____:
"""Login Service for FABAuthManager."""
@classmethod
def create_token(
cls, body: LoginBody, expiration_time_in_seconds: int = conf.getint("api_auth", "jwt_expiration_time")
) -> LoginResponse:
"""Create a new token."""
if not body.username or not body.password:
... | FABAuthManagerLogin |
python | apache__airflow | providers/google/src/airflow/providers/google/cloud/operators/dataproc.py | {
"start": 84777,
"end": 94144
} | class ____(GoogleCloudBaseOperator):
"""
Submit a job to a cluster.
:param project_id: Optional. The ID of the Google Cloud project that the job belongs to.
:param region: Required. The Cloud Dataproc region in which to handle the request.
:param job: Required. The job resource.
If a dict i... | DataprocSubmitJobOperator |
python | scikit-learn__scikit-learn | sklearn/gaussian_process/_gpc.py | {
"start": 1303,
"end": 20701
} | class ____(BaseEstimator):
"""Binary Gaussian process classification based on Laplace approximation.
The implementation is based on Algorithm 3.1, 3.2, and 5.1 from [RW2006]_.
Internally, the Laplace approximation is used for approximating the
non-Gaussian posterior by a Gaussian.
Currently, the ... | _BinaryGaussianProcessClassifierLaplace |
python | openai__openai-python | src/openai/types/realtime/realtime_response.py | {
"start": 1198,
"end": 3826
} | class ____(BaseModel):
id: Optional[str] = None
"""The unique ID of the response, will look like `resp_1234`."""
audio: Optional[Audio] = None
"""Configuration for audio output."""
conversation_id: Optional[str] = None
"""
Which conversation the response is added to, determined by the `con... | RealtimeResponse |
python | apache__airflow | providers/google/tests/unit/google/cloud/links/test_dataplex.py | {
"start": 8647,
"end": 9769
} | class ____:
@pytest.mark.db_test
def test_get_link(self, create_task_instance_of_operator, session, mock_supervisor_comms):
expected_url = EXPECTED_DATAPLEX_CATALOG_ENTRY_GROUPS_LINK
link = DataplexCatalogEntryGroupsLink()
ti = create_task_instance_of_operator(
DataplexCatalo... | TestDataplexCatalogEntryGroupsLink |
python | apache__airflow | providers/presto/src/airflow/providers/presto/hooks/presto.py | {
"start": 2893,
"end": 11537
} | class ____(DbApiHook):
"""
Interact with Presto through prestodb.
>>> ph = PrestoHook()
>>> sql = "SELECT count(1) AS num FROM airflow.static_babynames"
>>> ph.get_records(sql)
[[340698]]
"""
conn_name_attr = "presto_conn_id"
default_conn_name = "presto_default"
conn_type = "pr... | PrestoHook |
python | instagram__MonkeyType | tests/test_typing.py | {
"start": 17660,
"end": 20175
} | class ____:
@pytest.mark.parametrize(
'typ, expected',
[
(TypedDict(DUMMY_TYPED_DICT_NAME, {'a': int, 'b': int}), True),
(Dict[str, int], False),
# Regression test.
(lambda x: x, False),
],
)
def test_is_typed_dict(self, typ, expected):... | TestTypedDictHelpers |
python | pytorch__pytorch | torch/ao/quantization/observer.py | {
"start": 64180,
"end": 64530
} | class ____(Granularity):
"""
Represents per-block granularity in quantization. See
:func:`~torchao.quantization.quant_primitives.quantize_affine` for docs for
`block_size`
Attributes:
block_size (Tuple[int, ...]): The size of each quantization group
"""
block_size: tuple[int, ...]
... | PerBlock |
python | encode__django-rest-framework | tests/test_routers.py | {
"start": 10579,
"end": 11105
} | class ____(TestCase):
def setUp(self):
class NoteViewSet(viewsets.ModelViewSet):
queryset = RouterTestModel.objects.all()
self.router = SimpleRouter()
self.router.register(r'notes', NoteViewSet)
self.urls = self.router.urls
def test_urls_have_trailing_slash_by_defau... | TestTrailingSlashIncluded |
python | huggingface__transformers | src/transformers/models/wavlm/modeling_wavlm.py | {
"start": 62000,
"end": 63613
} | class ____(nn.Module):
def __init__(self, config, layer_id=0):
super().__init__()
self.in_conv_dim = config.tdnn_dim[layer_id - 1] if layer_id > 0 else config.tdnn_dim[layer_id]
self.out_conv_dim = config.tdnn_dim[layer_id]
self.kernel_size = config.tdnn_kernel[layer_id]
self... | TDNNLayer |
python | ansible__ansible | lib/ansible/module_utils/facts/hardware/darwin.py | {
"start": 5828,
"end": 5936
} | class ____(HardwareCollector):
_fact_class = DarwinHardware
_platform = 'Darwin'
| DarwinHardwareCollector |
python | numpy__numpy | benchmarks/benchmarks/bench_app.py | {
"start": 1436,
"end": 2669
} | class ____(Benchmark):
def setup(self):
np.random.seed(1)
nsubj = 5
nfeat = 100
ntime = 200
self.arrays = [np.random.normal(size=(ntime, nfeat))
for i in range(nsubj)]
def maxes_of_dots(self, arrays):
"""
A magical feature score fo... | MaxesOfDots |
python | sqlalchemy__sqlalchemy | test/ext/test_indexable.py | {
"start": 726,
"end": 4951
} | class ____(fixtures.TestBase):
def test_array(self):
Base = declarative_base()
class A(Base):
__tablename__ = "a"
id = Column("id", Integer, primary_key=True)
array = Column("_array", ARRAY(Integer), default=[])
first = index_property("array", 0)
... | IndexPropertyTest |
python | kubernetes-client__python | kubernetes/client/models/v1_persistent_volume.py | {
"start": 383,
"end": 7376
} | 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... | V1PersistentVolume |
python | spack__spack | var/spack/test_repos/spack_repo/flags_test/packages/x/package.py | {
"start": 216,
"end": 480
} | class ____(Package):
version("1.1")
version("1.0")
variant("activatemultiflag", default=False)
depends_on('y cflags="-d1"', when="~activatemultiflag")
depends_on('y cflags="-d1 -d2"', when="+activatemultiflag")
depends_on("c", type="build")
| X |
python | sympy__sympy | sympy/printing/latex.py | {
"start": 4521,
"end": 124935
} | class ____(Printer):
printmethod = "_latex"
_default_settings: dict[str, Any] = {
"full_prec": False,
"fold_frac_powers": False,
"fold_func_brackets": False,
"fold_short_frac": None,
"inv_trig_style": "abbreviated",
"itex": False,
"ln_notation": False,
... | LatexPrinter |
python | dask__dask | dask/dataframe/dask_expr/_collection.py | {
"start": 173404,
"end": 237513
} | class ____(FrameBase):
"""Scalar Expr Collection"""
def __repr__(self):
return f"<dask_expr.expr.Scalar: expr={self.expr}, dtype={self.dtype}>"
def __bool__(self):
raise TypeError(
f"Trying to convert {self} to a boolean value. Because Dask objects are "
"lazily eva... | Scalar |
python | networkx__networkx | networkx/algorithms/centrality/tests/test_degree_centrality.py | {
"start": 82,
"end": 4101
} | class ____:
def setup_method(self):
self.K = nx.krackhardt_kite_graph()
self.P3 = nx.path_graph(3)
self.K5 = nx.complete_graph(5)
F = nx.Graph() # Florentine families
F.add_edge("Acciaiuoli", "Medici")
F.add_edge("Castellani", "Peruzzi")
F.add_edge("Castella... | TestDegreeCentrality |
python | getsentry__sentry | tests/sentry/uptime/endpoints/test_project_uptime_alert_details.py | {
"start": 411,
"end": 550
} | class ____(UptimeAlertBaseEndpointTest):
endpoint = "sentry-api-0-project-uptime-alert-details"
| ProjectUptimeAlertDetailsBaseEndpointTest |
python | realpython__materials | wordcount/tests/realpython/resources.py | {
"start": 1650,
"end": 1797
} | class ____(Resource):
@property
def url(self) -> str:
return f"https://realpython.com/learning-paths/{self.slug_clean}/"
| LearningPath |
python | langchain-ai__langchain | libs/partners/prompty/langchain_prompty/core.py | {
"start": 346,
"end": 683
} | class ____(BaseModel):
"""Property settings for a prompty model."""
model_config = ConfigDict(arbitrary_types_allowed=True)
type: Literal["string", "number", "array", "object", "boolean"]
default: str | int | float | list | dict | bool | None = Field(default=None)
description: str = Field(default="... | PropertySettings |
python | doocs__leetcode | solution/1800-1899/1805.Number of Different Integers in a String/Solution.py | {
"start": 0,
"end": 442
} | class ____:
def numDifferentIntegers(self, word: str) -> int:
s = set()
i, n = 0, len(word)
while i < n:
if word[i].isdigit():
while i < n and word[i] == '0':
i += 1
j = i
while j < n and word[j].isdigit():
... | Solution |
python | pydata__xarray | xarray/core/indexes.py | {
"start": 54523,
"end": 61803
} | class ____(Index):
"""Helper class for creating Xarray indexes based on coordinate transforms.
- wraps a :py:class:`CoordinateTransform` instance
- takes care of creating the index (lazy) coordinates
- supports point-wise label-based selection
- supports exact alignment only, by comparing indexes b... | CoordinateTransformIndex |
python | PrefectHQ__prefect | src/prefect/events/actions.py | {
"start": 1928,
"end": 2823
} | class ____(DeploymentAction):
"""Runs the given deployment with the given parameters"""
type: Literal["run-deployment"] = "run-deployment"
parameters: Optional[Dict[str, Any]] = Field(
None,
description=(
"The parameters to pass to the deployment, or None to use the "
... | RunDeployment |
python | tensorflow__tensorflow | tensorflow/compiler/mlir/quantization/tensorflow/calibrator/calibration_algorithm.py | {
"start": 7308,
"end": 7995
} | class ____(_CalibrationAlgorithmBase):
"""MinMaxCalibrationAlgorithm for calculating min and max values of calibration result.
MinMax calibration calculates the global min and global max values.
global min = min of given sample inputs
global max = max of given sample inputs
"""
def get_min_max_value(self... | _MinMax |
python | django__django | tests/lookup/test_lookups.py | {
"start": 1779,
"end": 2345
} | class ____(SimpleTestCase):
def test_get_bound_params(self):
look_up = YearLookup(
lhs=Value(datetime(2010, 1, 1, 0, 0, 0), output_field=DateTimeField()),
rhs=Value(datetime(2010, 1, 1, 23, 59, 59), output_field=DateTimeField()),
)
msg = "subclasses of YearLookup must... | YearLookupTests |
python | kamyu104__LeetCode-Solutions | Python/find-valid-pair-of-adjacent-digits-in-string.py | {
"start": 42,
"end": 461
} | class ____(object):
def findValidPair(self, s):
"""
:type s: str
:rtype: str
"""
cnt = [0]*9
for x in s:
cnt[ord(x)-ord('1')] += 1
for i in xrange(len(s)-1):
if s[i] != s[i+1] and cnt[ord(s[i])-ord('1')] == ord(s[i])-ord('0') and cnt[or... | Solution |
python | python-visualization__folium | folium/plugins/pattern.py | {
"start": 214,
"end": 2347
} | class ____(JSCSSMixin, MacroElement):
"""Fill Pattern for polygon composed of alternating lines.
Add these to the 'fillPattern' field in GeoJson style functions.
Parameters
----------
angle: float, default 0.5
Angle of the line pattern (degrees). Should be between -360 and 360.
weight:... | StripePattern |
python | pytorch__pytorch | torch/package/package_importer.py | {
"start": 28948,
"end": 29600
} | class ____(_PathNode):
pass
# A private global registry of all modules that have been package-imported.
_package_imported_modules: WeakValueDictionary = WeakValueDictionary()
# `inspect` by default only looks in `sys.modules` to find source files for classes.
# Patch it to check our private registry of package-i... | _ExternNode |
python | apache__airflow | providers/celery/tests/unit/celery/cli/test_celery_command.py | {
"start": 10666,
"end": 16946
} | class ____:
@classmethod
def setup_class(cls):
with conf_vars({("core", "executor"): "CeleryExecutor"}):
importlib.reload(cli_parser)
cls.parser = cli_parser.get_parser()
@mock.patch("airflow.providers.celery.executors.celery_executor.app")
def test_run_command(self, moc... | TestFlowerCommand |
python | django__django | tests/utils_tests/test_autoreload.py | {
"start": 17116,
"end": 18948
} | class ____(SimpleTestCase):
@mock.patch("django.utils.autoreload._exception", None)
def test_no_exception(self):
# Should raise no exception if _exception is None
autoreload.raise_last_exception()
def test_raises_exception(self):
class MyException(Exception):
pass
... | TestRaiseLastException |
python | celery__celery | t/unit/utils/test_collections.py | {
"start": 9845,
"end": 11755
} | class ____:
def assert_size_and_first(self, buf, size, expected_first_item):
assert len(buf) == size
assert buf.take() == expected_first_item
def test_append_limited(self):
b = Messagebuffer(10)
for i in range(20):
b.put(i)
self.assert_size_and_first(b, 10, ... | test_Messagebuffer |
python | numba__numba | numba/tests/test_dyn_array.py | {
"start": 1642,
"end": 15631
} | class ____(NrtRefCtTest, TestCase):
def test_empty_0d(self):
@nrtjit
def foo():
arr = np.empty(())
arr[()] = 42
return arr
arr = foo()
self.assert_array_nrt_refct(arr, 1)
np.testing.assert_equal(42, arr)
self.assertEqual(arr.size,... | TestDynArray |
python | langchain-ai__langchain | libs/partners/anthropic/tests/unit_tests/test_chat_models.py | {
"start": 40276,
"end": 44066
} | class ____(BaseModel):
"""Get the current weather in a given location."""
location: str = Field(..., description="The city and state, e.g. San Francisco, CA")
def test_anthropic_bind_tools_tool_choice() -> None:
chat_model = ChatAnthropic( # type: ignore[call-arg, call-arg]
model=MODEL_NAME,
... | GetWeather |
python | streamlit__streamlit | lib/streamlit/testing/v1/app_test.py | {
"start": 2600,
"end": 38351
} | class ____:
"""
A simulated Streamlit app to check the correctness of displayed\
elements and outputs.
An instance of ``AppTest`` simulates a running Streamlit app. This class
provides methods to set up, manipulate, and inspect the app contents via
API instead of a browser UI. It can be used to... | AppTest |
python | django__django | tests/m2m_and_m2o/models.py | {
"start": 255,
"end": 581
} | class ____(models.Model):
num = models.IntegerField()
cc = models.ManyToManyField(User, blank=True, related_name="test_issue_cc")
client = models.ForeignKey(User, models.CASCADE, related_name="test_issue_client")
class Meta:
ordering = ("num",)
def __str__(self):
return str(self.nu... | Issue |
python | FactoryBoy__factory_boy | tests/djapp/models.py | {
"start": 949,
"end": 993
} | class ____(AbstractBase):
pass
| ConcreteSon |
python | tensorflow__tensorflow | tensorflow/compiler/tests/sharding_util_ops_test.py | {
"start": 2241,
"end": 13625
} | class ____(xla_test.XLATestCase, parameterized.TestCase):
@parameterized.named_parameters(('Tensor', create_tensor_split_graph),
('Resource', create_resource_split_graph))
def testSplitDimensionZero(self, graph_fn):
for dtype in self.numeric_types:
with self.session() as... | XlaSplitNDOpTest |
python | mitmproxy__pdoc | pdoc/doc_ast.py | {
"start": 1973,
"end": 11345
} | class ____:
"""The information extracted from walking the syntax tree."""
var_docstrings: dict[str, str]
"""A qualname -> docstring mapping."""
func_docstrings: dict[str, str]
"""A qualname -> docstring mapping for functions."""
annotations: dict[str, str | type[pdoc.doc_types.empty]]
"""A ... | AstInfo |
python | fluentpython__example-code-2e | 03-dict-set/missing.py | {
"start": 2085,
"end": 2421
} | class ____(SimpleMappingSub):
def __getitem__(self, key):
try:
return self._data[key]
except KeyError:
return self[_upper(key)]
def get(self, key, default=None):
return self._data.get(key, default)
def __contains__(self, key):
return key in self._dat... | DictLikeMappingSub |
python | pypa__hatch | backend/src/hatchling/builders/sdist.py | {
"start": 3102,
"end": 5496
} | class ____(BuilderConfig):
def __init__(self, *args: Any, **kwargs: Any) -> None:
super().__init__(*args, **kwargs)
self.__core_metadata_constructor: Callable[..., str] | None = None
self.__strict_naming: bool | None = None
self.__support_legacy: bool | None = None
@property
... | SdistBuilderConfig |
python | openai__openai-python | tests/test_transform.py | {
"start": 2235,
"end": 2287
} | class ____(TypedDict):
foo: Union[Bar4, Baz4]
| Foo4 |
python | google__jax | jax/_src/tpu/linalg/eigh.py | {
"start": 11156,
"end": 26537
} | class ____(NamedTuple):
"""Describes a subproblem of _eigh_work.
Each subproblem is a `size` x `size` Hermitian matrix, starting at `offset`
in the workspace.
"""
# The row offset of the block in the matrix of blocks.
offset: Array
# The size of the block.
size: Array
@api.jit(static_argnames=('term... | _Subproblem |
python | Farama-Foundation__Gymnasium | gymnasium/vector/vector_env.py | {
"start": 23645,
"end": 24534
} | class ____(VectorWrapper):
"""Wraps the vectorized environment to allow a modular transformation of the reward.
Equivalent of :class:`gymnasium.RewardWrapper` for vectorized environments.
"""
def step(
self, actions: ActType
) -> tuple[ObsType, ArrayType, ArrayType, ArrayType, dict[str, An... | VectorRewardWrapper |
python | doocs__leetcode | solution/0200-0299/0218.The Skyline Problem/Solution.py | {
"start": 34,
"end": 821
} | class ____:
def getSkyline(self, buildings: List[List[int]]) -> List[List[int]]:
skys, lines, pq = [], [], PriorityQueue()
for build in buildings:
lines.extend([build[0], build[1]])
lines.sort()
city, n = 0, len(buildings)
for line in lines:
while city... | Solution |
python | google__pytype | pytype/tests/test_base_test.py | {
"start": 5490,
"end": 6495
} | class ____(test_base.BaseTest):
@test_utils.skipUnlessPy((3, 10), reason="testing skipUnlessPy")
def test_skip_unless_py(self):
# This test will fail if run in a version other than 3.10.
self.Check("""
import sys
if sys.version_info.minor != 10:
name_error
""")
@test_utils.skipIf... | SkipTest |
python | pytorch__pytorch | torch/_subclasses/_fake_tensor_utils.py | {
"start": 3114,
"end": 5458
} | class ____:
"""
Represents a SymInt in the cached key. Needed because SymInt doesn't
support __eq__ or __hash__ directly.
"""
# value can be:
# PySymType: This is the 'normal' SymInt value, wrapped so we can use
# hash/eq as value hash/eq (normally SymInt does object
# ... | _PySymInputStub |
python | buildout__buildout | src/zc/buildout/easy_install.py | {
"start": 66505,
"end": 67641
} | class ____(zc.buildout.UserError):
def __init__(self, req, ws):
ws = list(ws)
ws.sort()
self.data = req, ws
def __str__(self):
req, ws = self.data
return "Couldn't find a distribution for %r." % str(req)
def _constrained_requirement(constraint, requirement):
assert... | MissingDistribution |
python | MongoEngine__mongoengine | tests/queryset/test_pickable.py | {
"start": 185,
"end": 1315
} | class ____(MongoDBTestCase):
"""
Test for adding pickling support for QuerySet instances
See issue https://github.com/MongoEngine/mongoengine/issues/442
"""
def setUp(self):
super().setUp()
self.john = Person.objects.create(name="John", age=21)
def test_picke_simple_qs(self):
... | TestQuerysetPickable |
python | google__jax | tests/cache_key_test.py | {
"start": 1266,
"end": 15285
} | class ____(jtu.JaxTestCase):
def test_serialized_compile_options(self):
compile_options = compiler.get_compile_options(
num_replicas=1, num_partitions=1
)
hash1 = self.get_hashed_value(
cache_key._hash_serialized_compile_options, compile_options
)
debug_options = compile_options.e... | CacheKeyTest |
python | realpython__materials | asterioids-pygame-project/source_code_step_3/space_rocks/game.py | {
"start": 46,
"end": 856
} | class ____:
def __init__(self):
self._init_pygame()
self.screen = pygame.display.set_mode((800, 600))
self.background = load_sprite("space", False)
def main_loop(self):
while True:
self._handle_input()
self._process_game_logic()
self._draw()
... | SpaceRocks |
python | huggingface__transformers | src/transformers/models/mllama/modeling_mllama.py | {
"start": 28733,
"end": 31146
} | class ____(GradientCheckpointingLayer):
"""Cross-attention transformer block with tanh-gated attention and feedforward."""
def __init__(self, config: MllamaTextConfig, layer_idx: int) -> None:
super().__init__()
self.layer_idx = layer_idx
self.cross_attn = MllamaTextCrossAttention(confi... | MllamaCrossAttentionDecoderLayer |
python | pyinstaller__pyinstaller | PyInstaller/utils/osx.py | {
"start": 12847,
"end": 12999
} | class ____(Exception):
"""
Exception raised by `get_binary_architectures` when it is passed an invalid binary.
"""
pass
| InvalidBinaryError |
python | encode__django-rest-framework | rest_framework/fields.py | {
"start": 46414,
"end": 48649
} | class ____(Field):
default_error_messages = {
'invalid': _('Time has wrong format. Use one of these formats instead: {format}.'),
}
datetime_parser = datetime.datetime.strptime
def __init__(self, format=empty, input_formats=None, **kwargs):
if format is not empty:
self.forma... | TimeField |
python | facebook__pyre-check | scripts/callgraph_utilities.py | {
"start": 796,
"end": 2355
} | class ____(abc.ABC):
call_graph: Dict[str, Set[str]]
original_call_graph: Dict[str, JSON]
def __init__(self, call_graph: JSON) -> None:
self.original_call_graph = self.validate_top_level_dict(call_graph)
self.call_graph = self._to_call_graph()
@staticmethod
def validate_top_level_d... | InputFormat |
python | apache__airflow | airflow-ctl/src/airflowctl/api/datamodels/generated.py | {
"start": 70853,
"end": 71108
} | class ____(BaseModel):
"""
Schema for a collection of Human-in-the-loop details.
"""
hitl_details: Annotated[list[HITLDetail], Field(title="Hitl Details")]
total_entries: Annotated[int, Field(title="Total Entries")]
| HITLDetailCollection |
python | getsentry__sentry | src/sentry/web/forms/accounts.py | {
"start": 7552,
"end": 8676
} | class ____(PasswordlessRegistrationForm):
password = forms.CharField(
required=True, widget=forms.PasswordInput(attrs={"placeholder": "something super secret"})
)
def clean_password(self):
password = self.cleaned_data["password"]
user = (
User(username=self.cleaned_data[... | RegistrationForm |
python | tensorflow__tensorflow | tensorflow/python/data/util/random_seed_test.py | {
"start": 3622,
"end": 4758
} | class ____(test_base.DatasetTestBase, parameterized.TestCase):
def _checkEqual(self, tinput, toutput):
random_seed.set_random_seed(tinput[0])
g_seed, op_seed = data_random_seed.get_seed(tinput[1])
g_seed = self.evaluate(g_seed)
op_seed = self.evaluate(op_seed)
msg = "test_case = {0}, got {1}, wan... | RandomSeedTest |
python | huggingface__transformers | src/transformers/models/dia/processing_dia.py | {
"start": 1073,
"end": 1239
} | class ____(AudioKwargs, total=False):
bos_token_id: int
eos_token_id: int
pad_token_id: int
delay_pattern: list[int]
generation: bool
| DiaAudioKwargs |
python | great-expectations__great_expectations | contrib/great_expectations_semantic_types_expectations/great_expectations_semantic_types_expectations/expectations/expect_column_values_to_be_valid_hashtag.py | {
"start": 1589,
"end": 3762
} | class ____(ColumnMapExpectation):
"""Expect column values to be valid #hashtags."""
# These examples will be shown in the public gallery.
# They will also be executed as unit tests for your Expectation.
examples = [
{
"data": {
"well_formed_hashtag": [
... | ExpectColumnValuesToBeValidHashtag |
python | run-llama__llama_index | llama-index-integrations/embeddings/llama-index-embeddings-upstage/llama_index/embeddings/upstage/base.py | {
"start": 1148,
"end": 7455
} | class ____(OpenAIEmbedding):
"""
Class for Upstage embeddings.
"""
additional_kwargs: Dict[str, Any] = Field(
default_factory=dict, description="Additional kwargs for the Upstage API."
)
api_key: str = Field(description="The Upstage API key.")
api_base: Optional[str] = Field(
... | UpstageEmbedding |
python | tensorflow__tensorflow | tensorflow/python/feature_column/sequence_feature_column_test.py | {
"start": 8425,
"end": 9983
} | class ____(
test.TestCase, parameterized.TestCase):
@parameterized.named_parameters(
{'testcase_name': '2D',
'inputs_args': {
'indices': ((0, 0), (1, 0), (1, 1)),
'values': ('omar', 'stringer', 'marlo'),
'dense_shape': (2, 2)},
'expected_args': {
'i... | SequenceCategoricalColumnWithHashBucketTest |
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