Datasets:

meituan-longcat
/

CoreCodeBench-Multi

id list	project string	origin_file list	test_list list	prob_info list	type list	node list	language string	toolfunc_count int64	func_count int64	pytest_info dict
[ "cloudnetpy.cloudnetpy.utils.cumsumr", "cloudnetpy.cloudnetpy.categorize.atmos_utils.calc_adiabatic_lwc" ]	cloudnetpy	[ "cloudnetpy/utils.py", "cloudnetpy/categorize/atmos_utils.py" ]	[ "tests/unit/test_atmos_utils.py" ]	[ { "class_start_lineno": 1, "class_end_lineno": 1151, "func_start_lineno": 532, "func_end_lineno": 549, "func_code": "def cumsumr(array: np.ndarray, axis: int = 0) -> np.ndarray:\n \"\"\"Finds cumulative sum that resets on 0.\n\n Args:\n array: Input array.\n axis: Axis where ...	[ "function_empty" ]	[ "cloudnetpy.utils.cumsumr", "cloudnetpy.categorize.atmos_utils.calc_adiabatic_lwc" ]	Python	2	2	{ "total_num": 5, "base_passed_num": 4 }
[ "cloudnetpy.cloudnetpy.utils.binvec", "cloudnetpy.cloudnetpy.utils.rebin_1d", "cloudnetpy.cloudnetpy.utils.rebin_2d", "cloudnetpy.cloudnetpy.cloudnetarray.CloudnetArray::rebin_data" ]	cloudnetpy	[ "cloudnetpy/utils.py", "cloudnetpy/utils.py", "cloudnetpy/utils.py", "cloudnetpy/cloudnetarray.py" ]	[ "tests/unit/test_categorize.py" ]	[ { "class_start_lineno": 1, "class_end_lineno": 1151, "func_start_lineno": 124, "func_end_lineno": 140, "func_code": "def binvec(x: np.ndarray \| list) -> np.ndarray:\n \"\"\"Converts 1-D center points to bins with even spacing.\n\n Args:\n x: 1-D array of N real values.\n\n Return...	[ "function_empty" ]	[ "cloudnetpy.utils.binvec", "cloudnetpy.utils.rebin_1d", "cloudnetpy.utils.rebin_2d", "cloudnetpy.cloudnetarray.CloudnetArray.rebin_data" ]	Python	4	4	{ "total_num": 4, "base_passed_num": 0 }
[ "cloudnetpy.cloudnetpy.utils.binvec", "cloudnetpy.cloudnetpy.utils.rebin_2d", "cloudnetpy.cloudnetpy.cloudnetarray.CloudnetArray::rebin_data" ]	cloudnetpy	[ "cloudnetpy/utils.py", "cloudnetpy/utils.py", "cloudnetpy/cloudnetarray.py" ]	[ "tests/unit/test_cloudnetarray.py" ]	[ { "class_start_lineno": 1, "class_end_lineno": 1151, "func_start_lineno": 124, "func_end_lineno": 140, "func_code": "def binvec(x: np.ndarray \| list) -> np.ndarray:\n \"\"\"Converts 1-D center points to bins with even spacing.\n\n Args:\n x: 1-D array of N real values.\n\n Return...	[ "function_empty" ]	[ "cloudnetpy.utils.binvec", "cloudnetpy.utils.rebin_2d", "cloudnetpy.cloudnetarray.CloudnetArray.rebin_data" ]	Python	3	3	{ "total_num": 17, "base_passed_num": 15 }
[ "cloudnetpy.cloudnetpy.concat_lib._Concat::_write_initial_data", "cloudnetpy.cloudnetpy.concat_lib._Concat::concat_data" ]	cloudnetpy	[ "cloudnetpy/concat_lib.py", "cloudnetpy/concat_lib.py" ]	[ "tests/unit/test_concat_lib.py", "tests/unit/test_copernicus.py", "tests/unit/test_galileo.py", "tests/unit/test_mira.py" ]	[ { "class_start_lineno": 122, "class_end_lineno": 253, "func_start_lineno": 173, "func_end_lineno": 202, "func_code": " def _write_initial_data(self, variables: list \| None, ignore: list \| None) -> None:\n for key in self.first_file.variables:\n if (\n variable...	[ "Development" ]	[ "cloudnetpy.concat_lib._Concat._write_initial_data", "cloudnetpy.concat_lib._Concat.concat_data" ]	Python	0	2	{ "total_num": 71, "base_passed_num": 32 }
[ "cloudnetpy.cloudnetpy.datasource.DataSource::getvar", "cloudnetpy.cloudnetpy.datasource.DataSource::_init_time" ]	cloudnetpy	[ "cloudnetpy/datasource.py", "cloudnetpy/datasource.py" ]	[ "tests/unit/test_datasource.py" ]	[ { "class_start_lineno": 16, "class_end_lineno": 236, "func_start_lineno": 60, "func_end_lineno": 80, "func_code": " def getvar(self, *args) -> np.ndarray:\n \"\"\"Returns data array from the source file variables.\n\n Returns just the data (and no attributes) from the original\n...	[ "function_empty", "Development" ]	[ "cloudnetpy.datasource.DataSource.getvar", "cloudnetpy.datasource.DataSource._init_time" ]	Python	1	2	{ "total_num": 9, "base_passed_num": 6 }
[ "cloudnetpy.cloudnetpy.instruments.disdrometer.parsivel._read_fmi", "cloudnetpy.cloudnetpy.instruments.disdrometer.parsivel.parsivel2nc" ]	cloudnetpy	[ "cloudnetpy/instruments/disdrometer/parsivel.py", "cloudnetpy/instruments/disdrometer/parsivel.py" ]	[ "tests/unit/test_disdrometer.py" ]	[ { "class_start_lineno": 1, "class_end_lineno": 713, "func_start_lineno": 618, "func_end_lineno": 657, "func_code": "def _read_fmi(content: str):\n r\"\"\"Read format used by Finnish Meteorological Institute and University of\n Helsinki.\n\n Format consists of sequence of the following:\...	[ "function_empty" ]	[ "cloudnetpy.instruments.disdrometer.parsivel._read_fmi", "cloudnetpy.instruments.disdrometer.parsivel.parsivel2nc" ]	Python	2	2	{ "total_num": 54, "base_passed_num": 0 }
[ "cloudnetpy.cloudnetpy.utils.l2norm_weighted", "cloudnetpy.cloudnetpy.products.drizzle_error._calc_error" ]	cloudnetpy	[ "cloudnetpy/utils.py", "cloudnetpy/products/drizzle_error.py" ]	[ "tests/unit/test_drizzle.py", "tests/unit/test_drizzle_error.py" ]	[ { "class_start_lineno": 1, "class_end_lineno": 1151, "func_start_lineno": 504, "func_end_lineno": 529, "func_code": "def l2norm_weighted(\n values: tuple,\n overall_scale: float,\n term_weights: tuple,\n) -> ma.MaskedArray:\n \"\"\"Calculates scaled and weighted Euclidean distance.\n...	[ "function_empty", "Development" ]	[ "cloudnetpy.utils.l2norm_weighted", "cloudnetpy.products.drizzle_error._calc_error" ]	Python	1	2	{ "total_num": 103, "base_passed_num": 70 }
[ "cloudnetpy.cloudnetpy.categorize.droplet.interpolate_lwp", "cloudnetpy.cloudnetpy.categorize.droplet.find_liquid" ]	cloudnetpy	[ "cloudnetpy/categorize/droplet.py", "cloudnetpy/categorize/droplet.py" ]	[ "tests/unit/test_droplet.py" ]	[ { "class_start_lineno": 1, "class_end_lineno": 245, "func_start_lineno": 225, "func_end_lineno": 238, "func_code": "def interpolate_lwp(obs: ClassData) -> np.ndarray:\n \"\"\"Linear interpolation of liquid water path to fill masked values.\n\n Args:\n obs: The :class:`ClassData` ins...	[ "function_empty", "Development" ]	[ "cloudnetpy.categorize.droplet.interpolate_lwp", "cloudnetpy.categorize.droplet.find_liquid" ]	Python	1	2	{ "total_num": 18, "base_passed_num": 15 }
[ "cloudnetpy.cloudnetpy.categorize.atmos_utils.fill_clouds_with_lwc_dz", "cloudnetpy.cloudnetpy.products.lwc.Lwc::_init_lwc_adiabatic", "cloudnetpy.cloudnetpy.categorize.atmos_utils.calc_saturation_vapor_pressure", "cloudnetpy.cloudnetpy.categorize.atmos_utils.calc_mixing_ratio", "cloudnetpy.cloudnetpy.categ...	cloudnetpy	[ "cloudnetpy/categorize/atmos_utils.py", "cloudnetpy/products/lwc.py", "cloudnetpy/products/lwc.py", "cloudnetpy/categorize/atmos_utils.py", "cloudnetpy/categorize/atmos_utils.py", "cloudnetpy/categorize/atmos_utils.py" ]	[ "tests/unit/test_lwc.py" ]	[ { "class_start_lineno": 1, "class_end_lineno": 357, "func_start_lineno": 154, "func_end_lineno": 172, "func_code": "def fill_clouds_with_lwc_dz(\n temperature: np.ndarray, pressure: np.ndarray, is_liquid: np.ndarray\n) -> np.ndarray:\n \"\"\"Fills liquid clouds with lwc change rate at the ...	[ "function_empty", "Development" ]	[ "cloudnetpy.categorize.atmos_utils.fill_clouds_with_lwc_dz", "cloudnetpy.products.lwc.Lwc._init_lwc_adiabatic", "cloudnetpy.products.lwc.Lwc.__init__", "cloudnetpy.categorize.atmos_utils.calc_saturation_vapor_pressure", "cloudnetpy.categorize.atmos_utils.calc_mixing_ratio", "cloudnetpy.categorize.atmos_ut...	Python	3	5	{ "total_num": 37, "base_passed_num": 0 }
[ "cloudnetpy.cloudnetpy.utils.rebin_1d", "cloudnetpy.cloudnetpy.cloudnetarray.CloudnetArray::rebin_data", "cloudnetpy.cloudnetpy.utils.binvec" ]	cloudnetpy	[ "cloudnetpy/utils.py", "cloudnetpy/cloudnetarray.py", "cloudnetpy/categorize/mwr.py", "cloudnetpy/utils.py" ]	[ "tests/unit/test_mwr.py" ]	[ { "class_start_lineno": 1, "class_end_lineno": 1151, "func_start_lineno": 195, "func_end_lineno": 231, "func_code": "def rebin_1d(\n x_in: np.ndarray,\n array: np.ndarray \| ma.MaskedArray,\n x_new: np.ndarray,\n statistic: str = \"mean\",\n *,\n mask_zeros: bool = True,\n) -> m...	[ "function_empty" ]	[ "cloudnetpy.utils.rebin_1d", "cloudnetpy.cloudnetarray.CloudnetArray.rebin_data", "cloudnetpy.categorize.mwr.Mwr.rebin_to_grid", "cloudnetpy.utils.binvec" ]	Python	3	3	{ "total_num": 4, "base_passed_num": 3 }
[ "cloudnetpy.cloudnetpy.utils.append_data", "cloudnetpy.cloudnetpy.instruments.radiometrics.RadiometricsCombined::__init__" ]	cloudnetpy	[ "cloudnetpy/utils.py", "cloudnetpy/instruments/radiometrics.py" ]	[ "tests/unit/test_radiometrics.py" ]	[ { "class_start_lineno": 1, "class_end_lineno": 1151, "func_start_lineno": 911, "func_end_lineno": 925, "func_code": "def append_data(data_in: dict, key: str, array: np.ndarray) -> dict:\n \"\"\"Appends data to a dictionary field (creates the field if not yet present).\n\n Args:\n da...	[ "function_empty", "Development" ]	[ "cloudnetpy.utils.append_data", "cloudnetpy.instruments.radiometrics.RadiometricsCombined.__init__" ]	Python	1	2	{ "total_num": 17, "base_passed_num": 0 }
[ "cloudnetpy.cloudnetpy.utils.binvec", "cloudnetpy.cloudnetpy.utils.rebin_2d", "cloudnetpy.cloudnetpy.utils.rebin_1d" ]	cloudnetpy	[ "cloudnetpy/utils.py", "cloudnetpy/utils.py", "cloudnetpy/utils.py" ]	[ "tests/unit/test_utils.py" ]	[ { "class_start_lineno": 1, "class_end_lineno": 1151, "func_start_lineno": 124, "func_end_lineno": 140, "func_code": "def binvec(x: np.ndarray \| list) -> np.ndarray:\n \"\"\"Converts 1-D center points to bins with even spacing.\n\n Args:\n x: 1-D array of N real values.\n\n Return...	[ "function_empty" ]	[ "cloudnetpy.utils.binvec", "cloudnetpy.utils.rebin_2d", "cloudnetpy.utils.rebin_1d" ]	Python	3	3	{ "total_num": 160, "base_passed_num": 151 }
[ "d3rlpy.d3rlpy.models.encoders.DefaultEncoderFactory::create", "d3rlpy.d3rlpy.models.builders.create_discrete_q_function" ]	d3rlpy	[ "d3rlpy/models/encoders.py", "d3rlpy/models/builders.py" ]	[ "tests_copy/envs/test_wrappers.py", "tests_copy/models/test_builders.py" ]	[ { "class_start_lineno": 209, "class_end_lineno": 265, "func_start_lineno": 224, "func_end_lineno": 238, "func_code": " def create(self, observation_shape: Shape) -> Encoder:\n factory: Union[PixelEncoderFactory, VectorEncoderFactory]\n if len(observation_shape) == 3:\n ...	[ "Development" ]	[ "d3rlpy.models.encoders.DefaultEncoderFactory.create", "d3rlpy.models.builders.create_discrete_q_function" ]	Python	0	2	{ "total_num": 42, "base_passed_num": 15 }
[ "d3rlpy.d3rlpy.dataset.transition_pickers.BasicTransitionPicker::__call__", "d3rlpy.d3rlpy.metrics.evaluators.make_batches", "d3rlpy.d3rlpy.metrics.evaluators.TDErrorEvaluator::__call__", "d3rlpy.d3rlpy.models.encoders.DefaultEncoderFactory::create", "d3rlpy.d3rlpy.models.builders.create_discrete_q_function...	d3rlpy	[ "d3rlpy/dataset/transition_pickers.py", "d3rlpy/metrics/evaluators.py", "d3rlpy/metrics/evaluators.py", "d3rlpy/models/encoders.py", "d3rlpy/models/builders.py" ]	[ "tests_copy/metrics/test_evaluators.py" ]	[ { "class_start_lineno": 43, "class_end_lineno": 72, "func_start_lineno": 49, "func_end_lineno": 72, "func_code": " def __call__(self, episode: EpisodeBase, index: int) -> Transition:\n _validate_index(episode, index)\n\n observation = retrieve_observation(episode.observations, i...	[ "Development" ]	[ "d3rlpy.dataset.transition_pickers.BasicTransitionPicker.__call__", "d3rlpy.metrics.evaluators.make_batches", "d3rlpy.metrics.evaluators.TDErrorEvaluator.__call__", "d3rlpy.models.encoders.DefaultEncoderFactory.create", "d3rlpy.models.builders.create_discrete_q_function" ]	Python	0	5	{ "total_num": 19, "base_passed_num": 0 }
[ "d3rlpy.d3rlpy.models.torch.q_functions.ensemble_q_function._gather_quantiles_by_indices", "d3rlpy.d3rlpy.models.torch.q_functions.ensemble_q_function._reduce_quantile_ensemble", "d3rlpy.d3rlpy.models.torch.q_functions.mean_q_function.DiscreteMeanQFunctionForwarder::compute_error", "d3rlpy.d3rlpy.models.torch...	d3rlpy	[ "d3rlpy/models/torch/q_functions/ensemble_q_function.py", "d3rlpy/models/torch/q_functions/ensemble_q_function.py", "d3rlpy/models/torch/q_functions/mean_q_function.py", "d3rlpy/models/torch/q_functions/iqn_q_function.py", "d3rlpy/models/torch/q_functions/ensemble_q_function.py", "d3rlpy/models/torch/q_fu...	[ "tests_copy/models/torch/q_functions/test_ensemble_q_function.py" ]	[ { "class_start_lineno": 1, "class_end_lineno": 367, "func_start_lineno": 35, "func_end_lineno": 52, "func_code": "def _gather_quantiles_by_indices(\n y: torch.Tensor, indices: torch.Tensor\n) -> torch.Tensor:\n # TODO: implement this in general case\n if y.dim() == 3:\n # (N, bat...	[ "Development" ]	[ "d3rlpy.models.torch.q_functions.ensemble_q_function._gather_quantiles_by_indices", "d3rlpy.models.torch.q_functions.ensemble_q_function._reduce_quantile_ensemble", "d3rlpy.models.torch.q_functions.mean_q_function.DiscreteMeanQFunctionForwarder.compute_error", "d3rlpy.models.torch.q_functions.iqn_q_function.D...	Python	0	5	{ "total_num": 30, "base_passed_num": 4 }
[ "d3rlpy.d3rlpy.models.torch.q_functions.iqn_q_function.DiscreteIQNQFunction::forward", "d3rlpy.d3rlpy.models.torch.q_functions.iqn_q_function.DiscreteIQNQFunctionForwarder::compute_error" ]	d3rlpy	[ "d3rlpy/models/torch/q_functions/iqn_q_function.py", "d3rlpy/models/torch/q_functions/base.py", "d3rlpy/models/torch/q_functions/iqn_q_function.py" ]	[ "tests_copy/models/torch/q_functions/test_iqn_q_function.py" ]	[ { "class_start_lineno": 65, "class_end_lineno": 119, "func_start_lineno": 92, "func_end_lineno": 115, "func_code": " def forward(self, x: TorchObservation) -> QFunctionOutput:\n h = self._encoder(x)\n\n if self.training:\n n_quantiles = self._n_quantiles\n else...	[ "Development" ]	[ "d3rlpy.models.torch.q_functions.iqn_q_function.DiscreteIQNQFunction.forward", "d3rlpy.models.torch.q_functions.base.DiscreteIQNQFunction.__call__", "d3rlpy.models.torch.q_functions.iqn_q_function.DiscreteIQNQFunctionForwarder.compute_error" ]	Python	0	2	{ "total_num": 8, "base_passed_num": 4 }
[ "datachain.src.datachain.lib.convert.python_to_sql.python_to_sql", "datachain.src.datachain.lib.signal_schema.SignalSchema::get_column_type", "datachain.src.datachain.lib.dc.DataChain::mutate", "datachain.src.datachain.lib.signal_schema.SignalSchema::mutate" ]	datachain	[ "datachain/lib/convert/python_to_sql.py", "datachain/func/func.py", "datachain/lib/signal_schema.py", "datachain/func/func.py", "datachain/lib/dc.py", "datachain/lib/signal_schema.py" ]	[ "tests/unit/test_func.py" ]	[ { "class_start_lineno": 1, "class_end_lineno": 117, "func_start_lineno": 37, "func_end_lineno": 82, "func_code": "def python_to_sql(typ): # noqa: PLR0911\n if inspect.isclass(typ):\n if issubclass(typ, SQLType):\n return typ\n if issubclass(typ, Enum):\n r...	[ "function_empty", "Development" ]	[ "datachain.lib.convert.python_to_sql.python_to_sql", "datachain.func.func.Func.get_column", "datachain.lib.signal_schema.SignalSchema.get_column_type", "datachain.func.func.get_db_col_type", "datachain.lib.dc.DataChain.mutate", "datachain.lib.signal_schema.SignalSchema.mutate" ]	Python	1	4	{ "total_num": 94, "base_passed_num": 39 }
[ "datachain.src.datachain.query.session.Session::_cleanup_temp_datasets", "datachain.src.datachain.query.session.Session::__exit__" ]	datachain	[ "datachain/query/session.py", "datachain/query/session.py" ]	[ "tests/unit/test_listing.py", "tests/unit/test_session.py" ]	[ { "class_start_lineno": 19, "class_end_lineno": 195, "func_start_lineno": 103, "func_end_lineno": 110, "func_code": " def _cleanup_temp_datasets(self) -> None:\n prefix = self.get_temp_prefix()\n try:\n for dataset in list(self.catalog.metastore.list_datasets_by_prefi...	[ "Development" ]	[ "datachain.query.session.Session._cleanup_temp_datasets", "datachain.query.session.Session.__exit__" ]	Python	0	2	{ "total_num": 24, "base_passed_num": 7 }
[ "datachain.src.datachain.lib.signal_schema.SignalSchema::_get_flat_tree", "datachain.src.datachain.lib.convert.python_to_sql.python_to_sql", "datachain.src.datachain.lib.signal_schema.SignalSchema::db_signals", "datachain.src.datachain.query.session.Session::_cleanup_temp_datasets", "datachain.src.datachain...	datachain	[ "datachain/lib/signal_schema.py", "datachain/lib/signal_schema.py", "datachain/lib/convert/python_to_sql.py", "datachain/lib/signal_schema.py", "datachain/query/session.py", "datachain/query/session.py" ]	[ "tests/unit/lib/test_arrow.py" ]	[ { "class_start_lineno": 135, "class_end_lineno": 751, "func_start_lineno": 630, "func_end_lineno": 639, "func_code": " def _get_flat_tree(\n self, tree: dict, prefix: list[str], depth: int\n ) -> Iterator[tuple[list[str], DataType, bool, int]]:\n for name, (type_, substree) i...	[ "function_empty", "Development" ]	[ "datachain.lib.signal_schema.SignalSchema._get_flat_tree", "datachain.lib.signal_schema.SignalSchema.get_flat_tree", "datachain.lib.convert.python_to_sql.python_to_sql", "datachain.lib.signal_schema.SignalSchema.db_signals", "datachain.query.session.Session._cleanup_temp_datasets", "datachain.query.sessio...	Python	1	5	{ "total_num": 32, "base_passed_num": 31 }
[ "datachain.src.datachain.lib.image.convert_image", "datachain.src.datachain.lib.image.convert_images" ]	datachain	[ "datachain/lib/image.py", "datachain/lib/image.py" ]	[ "tests/unit/lib/test_clip.py", "tests/unit/lib/test_image.py" ]	[ { "class_start_lineno": 1, "class_end_lineno": 81, "func_start_lineno": 7, "func_end_lineno": 46, "func_code": "def convert_image(\n img: Image.Image,\n mode: str = \"RGB\",\n size: Optional[tuple[int, int]] = None,\n transform: Optional[Callable] = None,\n encoder: Optional[Calla...	[ "function_empty" ]	[ "datachain.lib.image.convert_image", "datachain.lib.image.convert_images" ]	Python	2	2	{ "total_num": 41, "base_passed_num": 13 }
[ "datachain.src.datachain.lib.file.File::get_destination_path", "datachain.src.datachain.lib.file.File::export", "datachain.src.datachain.lib.file.File::ensure_cached", "datachain.src.datachain.lib.file.File::_symlink_to" ]	datachain	[ "datachain/lib/file.py", "datachain/lib/file.py", "datachain/lib/file.py", "datachain/lib/file.py" ]	[ "tests/unit/lib/test_file.py" ]	[ { "class_start_lineno": 125, "class_end_lineno": 468, "func_start_lineno": 396, "func_end_lineno": 414, "func_code": " def get_destination_path(self, output: str, placement: ExportPlacement) -> str:\n \"\"\"\n Returns full destination path of a file for exporting to some output\...	[ "function_empty", "Development" ]	[ "datachain.lib.file.File.get_destination_path", "datachain.lib.file.File.export", "datachain.lib.file.File.ensure_cached", "datachain.lib.file.File._symlink_to" ]	Python	1	4	{ "total_num": 33, "base_passed_num": 14 }
[ "datachain.src.datachain.query.session.Session::_cleanup_temp_datasets", "datachain.src.datachain.query.session.Session::__exit__", "datachain.src.datachain.lib.signal_schema.SignalSchema::_get_flat_tree", "datachain.src.datachain.lib.convert.python_to_sql.python_to_sql", "datachain.src.datachain.lib.signal...	datachain	[ "datachain/query/session.py", "datachain/query/session.py", "datachain/lib/signal_schema.py", "datachain/lib/signal_schema.py", "datachain/lib/convert/python_to_sql.py", "datachain/lib/signal_schema.py" ]	[ "tests/unit/lib/test_signal_schema.py" ]	[ { "class_start_lineno": 19, "class_end_lineno": 195, "func_start_lineno": 103, "func_end_lineno": 110, "func_code": " def _cleanup_temp_datasets(self) -> None:\n prefix = self.get_temp_prefix()\n try:\n for dataset in list(self.catalog.metastore.list_datasets_by_prefi...	[ "function_empty", "Development" ]	[ "datachain.query.session.Session._cleanup_temp_datasets", "datachain.query.session.Session.__exit__", "datachain.lib.signal_schema.SignalSchema._get_flat_tree", "datachain.lib.signal_schema.SignalSchema.get_flat_tree", "datachain.lib.convert.python_to_sql.python_to_sql", "datachain.lib.signal_schema.Signa...	Python	1	5	{ "total_num": 58, "base_passed_num": 36 }
[ "datachain.src.datachain.lib.webdataset.Builder::add", "datachain.src.datachain.lib.webdataset.get_tar_groups" ]	datachain	[ "datachain/lib/webdataset.py", "datachain/lib/webdataset.py" ]	[ "tests/unit/lib/test_webdataset.py" ]	[ { "class_start_lineno": 104, "class_end_lineno": 194, "func_start_lineno": 134, "func_end_lineno": 171, "func_code": " def add(self, file: tarfile.TarInfo):\n fstream = File(path=file.name)\n ext = fstream.get_file_ext()\n stem = fstream.get_file_stem()\n\n if self...	[ "Development" ]	[ "datachain.lib.webdataset.Builder.add", "datachain.lib.webdataset.get_tar_groups" ]	Python	0	2	{ "total_num": 7, "base_passed_num": 0 }
[ "datachain.src.datachain.func.conditional.case", "datachain.src.datachain.func.conditional.ifelse" ]	datachain	[ "datachain/func/conditional.py", "datachain/func/conditional.py" ]	[ "tests/unit/sql/test_conditional.py" ]	[ { "class_start_lineno": 1, "class_end_lineno": 270, "func_start_lineno": 93, "func_end_lineno": 158, "func_code": "def case(\n *args: tuple[Union[ColumnElement, Func, bool], CaseT], else_: Optional[CaseT] = None\n) -> Func:\n \"\"\"\n Returns the case function that produces case express...	[ "function_empty", "Development" ]	[ "datachain.func.conditional.case", "datachain.func.conditional.ifelse" ]	Python	1	2	{ "total_num": 34, "base_passed_num": 2 }
[ "haystack.haystack.components.builders.prompt_builder.PromptBuilder::_validate_variables", "haystack.haystack.components.builders.prompt_builder.PromptBuilder::run", "haystack.haystack.core.type_utils._strict_types_are_compatible", "haystack.haystack.core.type_utils._types_are_compatible" ]	haystack	[ "haystack/components/builders/prompt_builder.py", "haystack/components/builders/prompt_builder.py", "haystack/core/type_utils.py", "haystack/core/type_utils.py" ]	[ "test/components/builders/test_prompt_builder.py" ]	[ { "class_start_lineno": 17, "class_end_lineno": 266, "func_start_lineno": 247, "func_end_lineno": 266, "func_code": " def _validate_variables(self, provided_variables: Set[str]):\n \"\"\"\n Checks if all the required template variables are provided.\n\n :param provided_va...	[ "function_empty" ]	[ "haystack.components.builders.prompt_builder.PromptBuilder._validate_variables", "haystack.components.builders.prompt_builder.PromptBuilder.run", "haystack.core.type_utils._strict_types_are_compatible", "haystack.core.type_utils._types_are_compatible" ]	Python	4	4	{ "total_num": 29, "base_passed_num": 7 }
[ "haystack.haystack.core.type_utils._strict_types_are_compatible", "haystack.haystack.core.type_utils._types_are_compatible", "haystack.haystack.document_stores.in_memory.document_store.InMemoryDocumentStore::to_dict", "haystack.haystack.components.retrievers.in_memory.bm25_retriever.InMemoryBM25Retriever::to_...	haystack	[ "haystack/core/type_utils.py", "haystack/core/type_utils.py", "haystack/document_stores/in_memory/document_store.py", "haystack/components/retrievers/in_memory/bm25_retriever.py", "haystack/core/serialization.py" ]	[ "test/components/classifiers/test_zero_shot_document_classifier.py" ]	[ { "class_start_lineno": 1, "class_end_lineno": 105, "func_start_lineno": 29, "func_end_lineno": 76, "func_code": "def _strict_types_are_compatible(sender, receiver): # pylint: disable=too-many-return-statements\n \"\"\"\n Checks whether the sender type is equal to or a subtype of the rece...	[ "function_empty", "Development" ]	[ "haystack.core.type_utils._strict_types_are_compatible", "haystack.core.type_utils._types_are_compatible", "haystack.document_stores.in_memory.document_store.InMemoryDocumentStore.to_dict", "haystack.components.retrievers.in_memory.bm25_retriever.InMemoryBM25Retriever.to_dict", "haystack.core.serialization....	Python	4	5	{ "total_num": 10, "base_passed_num": 9 }
[ "haystack.haystack.core.serialization.default_to_dict", "haystack.haystack.core.serialization.component_to_dict" ]	haystack	[ "haystack/core/serialization.py", "haystack/components/connectors/openapi_service.py", "haystack/core/serialization.py" ]	[ "test/components/connectors/test_openapi_service.py" ]	[ { "class_start_lineno": 1, "class_end_lineno": 264, "func_start_lineno": 172, "func_end_lineno": 210, "func_code": "def default_to_dict(obj: Any, **init_parameters) -> Dict[str, Any]:\n \"\"\"\n Utility function to serialize an object to a dictionary.\n\n This is mostly necessary for co...	[ "function_empty", "Development" ]	[ "haystack.core.serialization.default_to_dict", "haystack.components.connectors.openapi_service.OpenAPIServiceConnector.to_dict", "haystack.core.serialization.component_to_dict" ]	Python	1	2	{ "total_num": 12, "base_passed_num": 10 }
[ "haystack.haystack.core.serialization.default_to_dict", "haystack.haystack.components.converters.json.JSONConverter::to_dict", "haystack.haystack.components.converters.utils.normalize_metadata", "haystack.haystack.components.converters.json.JSONConverter::run" ]	haystack	[ "haystack/core/serialization.py", "haystack/components/converters/json.py", "haystack/components/converters/utils.py", "haystack/components/converters/json.py" ]	[ "test/components/converters/test_json.py" ]	[ { "class_start_lineno": 1, "class_end_lineno": 264, "func_start_lineno": 172, "func_end_lineno": 210, "func_code": "def default_to_dict(obj: Any, **init_parameters) -> Dict[str, Any]:\n \"\"\"\n Utility function to serialize an object to a dictionary.\n\n This is mostly necessary for co...	[ "function_empty", "Development" ]	[ "haystack.core.serialization.default_to_dict", "haystack.components.converters.json.JSONConverter.to_dict", "haystack.components.converters.utils.normalize_metadata", "haystack.components.converters.json.JSONConverter.run" ]	Python	3	4	{ "total_num": 19, "base_passed_num": 5 }
[ "haystack.haystack.components.converters.openapi_functions.OpenAPIServiceToFunctions::_parse_openapi_spec", "haystack.haystack.components.converters.openapi_functions.OpenAPIServiceToFunctions::run", "haystack.haystack.components.converters.openapi_functions.OpenAPIServiceToFunctions::_parse_property_attributes...	haystack	[ "haystack/components/converters/openapi_functions.py", "haystack/components/converters/openapi_functions.py", "haystack/components/converters/openapi_functions.py", "haystack/components/converters/openapi_functions.py", "haystack/components/converters/openapi_functions.py" ]	[ "test/components/converters/test_openapi_functions.py" ]	[ { "class_start_lineno": 23, "class_end_lineno": 257, "func_start_lineno": 232, "func_end_lineno": 257, "func_code": " def _parse_openapi_spec(self, content: str) -> Dict[str, Any]:\n \"\"\"\n Parses OpenAPI specification content, supporting both JSON and YAML formats.\n\n ...	[ "function_empty", "Development" ]	[ "haystack.components.converters.openapi_functions.OpenAPIServiceToFunctions._parse_openapi_spec", "haystack.components.converters.openapi_functions.OpenAPIServiceToFunctions.run", "haystack.components.converters.openapi_functions.OpenAPIServiceToFunctions._parse_property_attributes", "haystack.components.conv...	Python	3	5	{ "total_num": 8, "base_passed_num": 0 }
[ "haystack.haystack.utils.callable_serialization.serialize_callable", "haystack.haystack.components.converters.output_adapter.OutputAdapter::to_dict", "haystack.haystack.utils.type_serialization.thread_safe_import", "haystack.haystack.utils.callable_serialization.deserialize_callable" ]	haystack	[ "haystack/utils/callable_serialization.py", "haystack/components/converters/output_adapter.py", "haystack/utils/type_serialization.py", "haystack/utils/callable_serialization.py" ]	[ "test/components/converters/test_output_adapter.py" ]	[ { "class_start_lineno": 1, "class_end_lineno": 80, "func_start_lineno": 12, "func_end_lineno": 42, "func_code": "def serialize_callable(callable_handle: Callable) -> str:\n \"\"\"\n Serializes a callable to its full path.\n\n :param callable_handle: The callable to serialize\n :retur...	[ "function_empty", "Development" ]	[ "haystack.utils.callable_serialization.serialize_callable", "haystack.components.converters.output_adapter.OutputAdapter.to_dict", "haystack.utils.type_serialization.thread_safe_import", "haystack.utils.callable_serialization.deserialize_callable" ]	Python	3	4	{ "total_num": 14, "base_passed_num": 9 }
[ "haystack.haystack.utils.callable_serialization.serialize_callable", "haystack.haystack.components.embedders.azure_document_embedder.AzureOpenAIDocumentEmbedder::to_dict", "haystack.haystack.utils.type_serialization.thread_safe_import", "haystack.haystack.utils.callable_serialization.deserialize_callable" ]	haystack	[ "haystack/utils/callable_serialization.py", "haystack/components/embedders/azure_document_embedder.py", "haystack/utils/type_serialization.py", "haystack/utils/callable_serialization.py" ]	[ "test/components/embedders/test_azure_document_embedder.py" ]	[ { "class_start_lineno": 1, "class_end_lineno": 80, "func_start_lineno": 12, "func_end_lineno": 42, "func_code": "def serialize_callable(callable_handle: Callable) -> str:\n \"\"\"\n Serializes a callable to its full path.\n\n :param callable_handle: The callable to serialize\n :retur...	[ "function_empty", "Development" ]	[ "haystack.utils.callable_serialization.serialize_callable", "haystack.components.embedders.azure_document_embedder.AzureOpenAIDocumentEmbedder.to_dict", "haystack.utils.type_serialization.thread_safe_import", "haystack.utils.callable_serialization.deserialize_callable" ]	Python	3	4	{ "total_num": 6, "base_passed_num": 3 }
[ "haystack.haystack.utils.callable_serialization.serialize_callable", "haystack.haystack.components.embedders.azure_text_embedder.AzureOpenAITextEmbedder::to_dict", "haystack.haystack.utils.type_serialization.thread_safe_import", "haystack.haystack.utils.callable_serialization.deserialize_callable" ]	haystack	[ "haystack/utils/callable_serialization.py", "haystack/components/embedders/azure_text_embedder.py", "haystack/utils/type_serialization.py", "haystack/utils/callable_serialization.py" ]	[ "test/components/embedders/test_azure_text_embedder.py" ]	[ { "class_start_lineno": 1, "class_end_lineno": 80, "func_start_lineno": 12, "func_end_lineno": 42, "func_code": "def serialize_callable(callable_handle: Callable) -> str:\n \"\"\"\n Serializes a callable to its full path.\n\n :param callable_handle: The callable to serialize\n :retur...	[ "function_empty", "Development" ]	[ "haystack.utils.callable_serialization.serialize_callable", "haystack.components.embedders.azure_text_embedder.AzureOpenAITextEmbedder.to_dict", "haystack.utils.type_serialization.thread_safe_import", "haystack.utils.callable_serialization.deserialize_callable" ]	Python	3	4	{ "total_num": 5, "base_passed_num": 2 }
[ "haystack.haystack.components.embedders.hugging_face_api_document_embedder.HuggingFaceAPIDocumentEmbedder::_embed_batch", "haystack.haystack.components.embedders.hugging_face_api_document_embedder.HuggingFaceAPIDocumentEmbedder::run" ]	haystack	[ "haystack/components/embedders/hugging_face_api_document_embedder.py", "haystack/components/embedders/hugging_face_api_document_embedder.py" ]	[ "test/components/embedders/test_hugging_face_api_document_embedder.py" ]	[ { "class_start_lineno": 24, "class_end_lineno": 298, "func_start_lineno": 236, "func_end_lineno": 271, "func_code": " def _embed_batch(self, texts_to_embed: List[str], batch_size: int) -> List[List[float]]:\n \"\"\"\n Embed a list of texts in batches.\n \"\"\"\n tr...	[ "function_empty", "Development" ]	[ "haystack.components.embedders.hugging_face_api_document_embedder.HuggingFaceAPIDocumentEmbedder._embed_batch", "haystack.components.embedders.hugging_face_api_document_embedder.HuggingFaceAPIDocumentEmbedder.run" ]	Python	1	2	{ "total_num": 17, "base_passed_num": 12 }
[ "haystack.haystack.components.embedders.openai_document_embedder.OpenAIDocumentEmbedder::_prepare_texts_to_embed", "haystack.haystack.components.embedders.openai_document_embedder.OpenAIDocumentEmbedder::_embed_batch", "haystack.haystack.components.embedders.openai_document_embedder.OpenAIDocumentEmbedder::run"...	haystack	[ "haystack/components/embedders/openai_document_embedder.py", "haystack/components/embedders/openai_document_embedder.py", "haystack/components/embedders/openai_document_embedder.py" ]	[ "test/components/embedders/test_openai_document_embedder.py" ]	[ { "class_start_lineno": 19, "class_end_lineno": 245, "func_start_lineno": 164, "func_end_lineno": 181, "func_code": " def _prepare_texts_to_embed(self, documents: List[Document]) -> Dict[str, str]:\n \"\"\"\n Prepare the texts to embed by concatenating the Document text with the...	[ "function_empty", "Development" ]	[ "haystack.components.embedders.openai_document_embedder.OpenAIDocumentEmbedder._prepare_texts_to_embed", "haystack.components.embedders.openai_document_embedder.OpenAIDocumentEmbedder._embed_batch", "haystack.components.embedders.openai_document_embedder.OpenAIDocumentEmbedder.run" ]	Python	2	3	{ "total_num": 11, "base_passed_num": 4 }
[ "haystack.haystack.utils.device.ComponentDevice::to_dict", "haystack.haystack.components.embedders.sentence_transformers_document_embedder.SentenceTransformersDocumentEmbedder::to_dict" ]	haystack	[ "haystack/utils/device.py", "haystack/components/embedders/sentence_transformers_document_embedder.py" ]	[ "test/components/embedders/test_sentence_transformers_document_embedder.py" ]	[ { "class_start_lineno": 240, "class_end_lineno": 480, "func_start_lineno": 450, "func_end_lineno": 463, "func_code": " def to_dict(self) -> Dict[str, Any]:\n \"\"\"\n Convert the component device representation to a JSON-serializable dictionary.\n\n :returns:\n ...	[ "function_empty" ]	[ "haystack.utils.device.ComponentDevice.to_dict", "haystack.components.embedders.sentence_transformers_document_embedder.SentenceTransformersDocumentEmbedder.to_dict" ]	Python	2	2	{ "total_num": 18, "base_passed_num": 15 }
[ "haystack.haystack.utils.device.ComponentDevice::to_dict", "haystack.haystack.components.embedders.sentence_transformers_text_embedder.SentenceTransformersTextEmbedder::to_dict", "haystack.haystack.utils.device.ComponentDevice::to_torch_str", "haystack.haystack.components.embedders.sentence_transformers_text_...	haystack	[ "haystack/utils/device.py", "haystack/components/embedders/sentence_transformers_text_embedder.py", "haystack/utils/device.py", "haystack/components/embedders/sentence_transformers_text_embedder.py" ]	[ "test/components/embedders/test_sentence_transformers_text_embedder.py" ]	[ { "class_start_lineno": 240, "class_end_lineno": 480, "func_start_lineno": 450, "func_end_lineno": 463, "func_code": " def to_dict(self) -> Dict[str, Any]:\n \"\"\"\n Convert the component device representation to a JSON-serializable dictionary.\n\n :returns:\n ...	[ "function_empty", "Development" ]	[ "haystack.utils.device.ComponentDevice.to_dict", "haystack.components.embedders.sentence_transformers_text_embedder.SentenceTransformersTextEmbedder.to_dict", "haystack.utils.device.ComponentDevice.to_torch_str", "haystack.components.embedders.sentence_transformers_text_embedder.SentenceTransformersTextEmbedd...	Python	3	4	{ "total_num": 19, "base_passed_num": 8 }
[ "haystack.haystack.utils.type_serialization.serialize_type", "haystack.haystack.components.evaluators.llm_evaluator.LLMEvaluator::to_dict", "haystack.haystack.core.serialization.component_to_dict", "haystack.haystack.utils.type_serialization.deserialize_type", "haystack.haystack.core.serialization.component...	haystack	[ "haystack/utils/type_serialization.py", "haystack/components/evaluators/llm_evaluator.py", "haystack/core/serialization.py", "haystack/utils/type_serialization.py", "haystack/core/serialization.py" ]	[ "test/components/evaluators/test_llm_evaluator.py" ]	[ { "class_start_lineno": 1, "class_end_lineno": 170, "func_start_lineno": 19, "func_end_lineno": 52, "func_code": "def serialize_type(target: Any) -> str:\n \"\"\"\n Serializes a type or an instance to its string representation, including the module name.\n\n This function handles types,...	[ "function_empty", "Development" ]	[ "haystack.utils.type_serialization.serialize_type", "haystack.components.evaluators.llm_evaluator.LLMEvaluator.to_dict", "haystack.core.serialization.component_to_dict", "haystack.utils.type_serialization.deserialize_type", "haystack.core.serialization.component_from_dict" ]	Python	2	5	{ "total_num": 17, "base_passed_num": 12 }
[ "haystack.haystack.utils.device.ComponentDevice::to_dict", "haystack.haystack.components.evaluators.sas_evaluator.SASEvaluator::to_dict" ]	haystack	[ "haystack/utils/device.py", "haystack/components/evaluators/sas_evaluator.py" ]	[ "test/components/evaluators/test_sas_evaluator.py" ]	[ { "class_start_lineno": 240, "class_end_lineno": 480, "func_start_lineno": 450, "func_end_lineno": 463, "func_code": " def to_dict(self) -> Dict[str, Any]:\n \"\"\"\n Convert the component device representation to a JSON-serializable dictionary.\n\n :returns:\n ...	[ "function_empty" ]	[ "haystack.utils.device.ComponentDevice.to_dict", "haystack.components.evaluators.sas_evaluator.SASEvaluator.to_dict" ]	Python	2	2	{ "total_num": 12, "base_passed_num": 11 }
[ "haystack.haystack.components.generators.chat.openai.OpenAIChatGenerator::to_dict", "haystack.haystack.components.extractors.llm_metadata_extractor.LLMMetadataExtractor::to_dict", "haystack.haystack.components.builders.prompt_builder.PromptBuilder::_validate_variables", "haystack.haystack.components.builders....	haystack	[ "haystack/components/generators/chat/openai.py", "haystack/components/extractors/llm_metadata_extractor.py", "haystack/components/builders/prompt_builder.py", "haystack/components/builders/prompt_builder.py", "haystack/components/extractors/llm_metadata_extractor.py" ]	[ "test/components/extractors/test_llm_metadata_extractor.py" ]	[ { "class_start_lineno": 32, "class_end_lineno": 571, "func_start_lineno": 170, "func_end_lineno": 190, "func_code": " def to_dict(self) -> Dict[str, Any]:\n \"\"\"\n Serialize this component to a dictionary.\n\n :returns:\n The serialized component as a diction...	[ "function_empty", "Development" ]	[ "haystack.components.generators.chat.openai.OpenAIChatGenerator.to_dict", "haystack.components.extractors.llm_metadata_extractor.LLMMetadataExtractor.to_dict", "haystack.components.builders.prompt_builder.PromptBuilder._validate_variables", "haystack.components.builders.prompt_builder.PromptBuilder.run", "h...	Python	4	5	{ "total_num": 13, "base_passed_num": 9 }
[ "haystack.haystack.components.extractors.named_entity_extractor.NamedEntityExtractor::to_dict", "haystack.haystack.core.serialization.component_to_dict" ]	haystack	[ "haystack/components/extractors/named_entity_extractor.py", "haystack/core/serialization.py" ]	[ "test/components/extractors/test_named_entity_extractor.py" ]	[ { "class_start_lineno": 78, "class_end_lineno": 275, "func_start_lineno": 212, "func_end_lineno": 232, "func_code": " def to_dict(self) -> Dict[str, Any]:\n \"\"\"\n Serializes the component to a dictionary.\n\n :returns:\n Dictionary with serialized data.\n ...	[ "function_empty", "Development" ]	[ "haystack.components.extractors.named_entity_extractor.NamedEntityExtractor.to_dict", "haystack.core.serialization.component_to_dict" ]	Python	1	2	{ "total_num": 7, "base_passed_num": 2 }

End of preview. Expand in Data Studio

Multi Testcases for CoreCodeBench

File Explanation

CoreCodeBench_Multi.jsonl Multi test cases for CoreCodeBench.
CoreCodeBench_Difficult.jsonl More difficult version for CoreCodeBench multi test cases .

Key Explanation

Key	Meaning/Description
id	A list of unique identifiers for the functions to be completed, typically in the format `module.path.Class::function`.
project	The name of the project this data is associated with.
origin_file	A list of file paths indicating where each function or method is defined in the source code.
test_list	A list of file paths for test scripts that are related to or used for testing the functions/methods.
prob_info	A list of dictionaries, each containing detailed information about a function or method, such as its starting and ending line numbers, and the actual code (`func_code`). Each dictionary includes: `class_start_lineno`/`class_end_lineno`: Line numbers where the class begins and ends. `func_start_lineno`/`func_end_lineno`: Line numbers where the function begins and ends. `func_code`: The source code of the function as a string.
type	A list indicating the type or category of the functions/methods (e.g., "function_empty").
node	A list of fully qualified names (with module and class) for each function/method.
language	The programming language used.
toolfunc_count	The number of tool-related functions in the data.
func_count	The total number of atomic functions in the data.
pytest_info	A dictionary with information about pytest test results: `total_num` is the total number of unit tests, while `base_passed_num` is the number of base tests that passed.

Downloads last month: 33

Size of downloaded dataset files:

2.94 MB

Size of the auto-converted Parquet files:

455 kB

Number of rows:

420