


'''simple docstring'''
import os

import pytest

from datasets import (
    get_dataset_config_info,
    get_dataset_config_names,
    get_dataset_infos,
    get_dataset_split_names,
    inspect_dataset,
    inspect_metric,
)


__snake_case							      =     pytest.mark.integration


@pytest.mark.parametrize('''path''' ,					['''paws''', '''csv''']   )
def 			a      (			__a ,					__a   )  ->	Optional[Any]:



					'''simple docstring'''






					inspect_dataset(__lowerCamelCase ,					__lowerCamelCase   )
					UpperCamelCase__   :Tuple												= path + '''.py'''
					assert script_name in os.listdir(__lowerCamelCase   )
					assert "__pycache__" not in os.listdir(__lowerCamelCase   )


@pytest.mark.filterwarnings('''ignore:inspect_metric is deprecated:FutureWarning'''   )
@pytest.mark.filterwarnings('''ignore:metric_module_factory is deprecated:FutureWarning'''   )
@pytest.mark.parametrize('''path''' ,					['''accuracy''']   )
def 			a      (			__a ,					__a   )  ->	Union[str, Any]:



					'''simple docstring'''






					inspect_metric(__lowerCamelCase ,					__lowerCamelCase   )
					UpperCamelCase__   :List[Any]												= path + '''.py'''
					assert script_name in os.listdir(__lowerCamelCase   )
					assert "__pycache__" not in os.listdir(__lowerCamelCase   )


@pytest.mark.parametrize(
    '''path, config_name, expected_splits''' ,					[
        ('''squad''', '''plain_text''', ['''train''', '''validation''']),
        ('''dalle-mini/wit''', '''dalle-mini--wit''', ['''train''']),
        ('''paws''', '''labeled_final''', ['''train''', '''test''', '''validation''']),
    ] ,					)
def 			a      (			__a ,					__a ,					__a   )  ->	Union[str, Any]:



					'''simple docstring'''






					UpperCamelCase__   :List[Any]												= get_dataset_config_info(__lowerCamelCase ,					config_name=__lowerCamelCase   )
					assert info.config_name == config_name
					assert list(info.splits.keys()   ) == expected_splits


@pytest.mark.parametrize(
    '''path, config_name, expected_exception''' ,					[
        ('''paws''', None, ValueError),
    ] ,					)
def 			a      (			__a ,					__a ,					__a   )  ->	Dict:



					'''simple docstring'''






					with pytest.raises(__lowerCamelCase   ):
										get_dataset_config_info(__lowerCamelCase ,					config_name=__lowerCamelCase   )


@pytest.mark.parametrize(
    '''path, expected''' ,					[
        ('''squad''', '''plain_text'''),
        ('''acronym_identification''', '''default'''),
        ('''lhoestq/squad''', '''plain_text'''),
        ('''lhoestq/test''', '''default'''),
        ('''lhoestq/demo1''', '''lhoestq--demo1'''),
        ('''dalle-mini/wit''', '''dalle-mini--wit'''),
    ] ,					)
def 			a      (			__a ,					__a   )  ->	Dict:



					'''simple docstring'''






					UpperCamelCase__   :List[str]												= get_dataset_config_names(__lowerCamelCase   )
					assert expected in config_names


@pytest.mark.parametrize(
    '''path, expected_configs, expected_splits_in_first_config''' ,					[
        ('''squad''', ['''plain_text'''], ['''train''', '''validation''']),
        ('''dalle-mini/wit''', ['''dalle-mini--wit'''], ['''train''']),
        ('''paws''', ['''labeled_final''', '''labeled_swap''', '''unlabeled_final'''], ['''train''', '''test''', '''validation''']),
    ] ,					)
def 			a      (			__a ,					__a ,					__a   )  ->	List[str]:



					'''simple docstring'''






					UpperCamelCase__   :int												= get_dataset_infos(__lowerCamelCase   )
					assert list(infos.keys()   ) == expected_configs
					UpperCamelCase__   :Union[str, Any]												= expected_configs[0]
					assert expected_config in infos
					UpperCamelCase__   :int												= infos[expected_config]
					assert info.config_name == expected_config
					assert list(info.splits.keys()   ) == expected_splits_in_first_config


@pytest.mark.parametrize(
    '''path, expected_config, expected_splits''' ,					[
        ('''squad''', '''plain_text''', ['''train''', '''validation''']),
        ('''dalle-mini/wit''', '''dalle-mini--wit''', ['''train''']),
        ('''paws''', '''labeled_final''', ['''train''', '''test''', '''validation''']),
    ] ,					)
def 			a      (			__a ,					__a ,					__a   )  ->	List[Any]:



					'''simple docstring'''






					UpperCamelCase__   :str												= get_dataset_infos(__lowerCamelCase   )
					assert expected_config in infos
					UpperCamelCase__   :Any												= infos[expected_config]
					assert info.config_name == expected_config
					assert list(info.splits.keys()   ) == expected_splits







@pytest.mark.parametrize(
    '''path, config_name, expected_exception''' ,					[
        ('''paws''', None, ValueError),
    ] ,					)
def 			a      (			__a ,					__a ,					__a   )  ->	int:



					'''simple docstring'''






					with pytest.raises(__lowerCamelCase   ):
										get_dataset_split_names(__lowerCamelCase ,					config_name=__lowerCamelCase   )





# flake8: noqa
# Lint as: python3

from typing import Dict, List, Optional, Type

from .. import config
from ..utils import logging
from .formatting import (
    ArrowFormatter,
    CustomFormatter,
    Formatter,
    PandasFormatter,
    PythonFormatter,
    TensorFormatter,
    format_table,
    query_table,
)
from .np_formatter import NumpyFormatter


__UpperCamelCase					:       List[str]    					=      logging.get_logger(__name__)

__UpperCamelCase					:       Dict[Optional[str], Type[Formatter]]    					=      {}
__UpperCamelCase					:       Dict[Optional[str], str]    					=      {}
__UpperCamelCase					:       Dict[Optional[str], Exception]    					=      {}





def 		__A		(	__lowerCamelCase							,			__lowerCamelCase							,			__lowerCamelCase = None							,			)      ->       Optional[int]:
	a										=							aliases if aliases is not None else []
	if format_type in _FORMAT_TYPES:
		logger.warning(
		    f'Overwriting format type \'{format_type}\' ({_FORMAT_TYPES[format_type].__name__} -> {formatter_cls.__name__})'    )
	a										=							formatter_cls
	for alias in set(aliases + [format_type]    ):
		if alias in _FORMAT_TYPES_ALIASES:
			logger.warning(
			    f'Overwriting format type alias \'{alias}\' ({_FORMAT_TYPES_ALIASES[alias]} -> {format_type})'    )
		a										=							format_type





def 		__A		(	__lowerCamelCase							,			__lowerCamelCase							,			__lowerCamelCase = None    )      ->       List[str]:
	a										=							aliases if aliases is not None else []
	for alias in set(aliases + [format_type]    ):
		a										=							unavailable_error


# Here we define all the available formatting functions that can be used by `Dataset.set_format`
_register_formatter(PythonFormatter, None, aliases=["python"])
_register_formatter(ArrowFormatter, "arrow", aliases=["pa", "pyarrow"])
_register_formatter(NumpyFormatter, "numpy", aliases=["np"])
_register_formatter(PandasFormatter, "pandas", aliases=["pd"])
_register_formatter(CustomFormatter, "custom")

if config.TORCH_AVAILABLE:
		from .torch_formatter import TorchFormatter

		_register_formatter(TorchFormatter, "torch", aliases=["pt", "pytorch"])
else:
		__UpperCamelCase					:       str    					=      ValueError("PyTorch needs to be installed to be able to return PyTorch tensors.")
		_register_unavailable_formatter(_torch_error, "torch", aliases=["pt", "pytorch"])

if config.TF_AVAILABLE:
		from .tf_formatter import TFFormatter

		_register_formatter(TFFormatter, "tensorflow", aliases=["tf"])
else:
		__UpperCamelCase					:       List[str]    					=      ValueError("Tensorflow needs to be installed to be able to return Tensorflow tensors.")
		_register_unavailable_formatter(_tf_error, "tensorflow", aliases=["tf"])

if config.JAX_AVAILABLE:
		from .jax_formatter import JaxFormatter

		_register_formatter(JaxFormatter, "jax", aliases=[])
else:
		__UpperCamelCase					:       List[str]    					=      ValueError("JAX needs to be installed to be able to return JAX arrays.")
		_register_unavailable_formatter(_jax_error, "jax", aliases=[])





def 		__A		(	__lowerCamelCase    )      ->       Optional[str]:
	if format_type in _FORMAT_TYPES_ALIASES:
		return _FORMAT_TYPES_ALIASES[format_type]
	else:
		return format_type





def 		__A		(	__lowerCamelCase							,			**__lowerCamelCase    )      ->       Formatter:
	a										=							get_format_type_from_alias(__lowerCamelCase    )
	if format_type in _FORMAT_TYPES:
		return _FORMAT_TYPES[format_type](**__lowerCamelCase    )
	if format_type in _FORMAT_TYPES_ALIASES_UNAVAILABLE:
		raise _FORMAT_TYPES_ALIASES_UNAVAILABLE[format_type]
	else:
		raise ValueError(
		    f'Return type should be None or selected in {list(type for type in _FORMAT_TYPES.keys() if type != None    )}, but got \'{format_type}\''    )

