






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,
)


__lowerCamelCase      :    List[Any]   		=   pytest.mark.integration







@pytest.mark.parametrize("path"  ,						["paws", "csv"]     )
def   SCREAMING_SNAKE_CASE       (				snake_case_      :							Union[str, Any]  ,						snake_case_      :							List[Any]     ):
	inspect_dataset(__snake_case  ,						__snake_case     )
	snake_case__				:   int     =						path + ".py"
	assert script_name in os.listdir(__snake_case     )
	assert "__pycache__" not in os.listdir(__snake_case     )







@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   SCREAMING_SNAKE_CASE       (				snake_case_      :							Any  ,						snake_case_      :							Dict     ):
	inspect_metric(__snake_case  ,						__snake_case     )
	snake_case__				:   Union[str, Any]     =						path + ".py"
	assert script_name in os.listdir(__snake_case     )
	assert "__pycache__" not in os.listdir(__snake_case     )







@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   SCREAMING_SNAKE_CASE       (				snake_case_      :							Tuple  ,						snake_case_      :							List[str]  ,						snake_case_      :							Optional[int]     ):
	snake_case__				:   Tuple     =						get_dataset_config_info(__snake_case  ,						config_name=__snake_case     )
	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   SCREAMING_SNAKE_CASE       (				snake_case_      :							Optional[int]  ,						snake_case_      :							List[str]  ,						snake_case_      :							Union[str, Any]     ):
	with pytest.raises(__snake_case     ):
		get_dataset_config_info(__snake_case  ,						config_name=__snake_case     )







@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   SCREAMING_SNAKE_CASE       (				snake_case_      :							List[str]  ,						snake_case_      :							str     ):
	snake_case__				:   str     =						get_dataset_config_names(__snake_case     )
	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   SCREAMING_SNAKE_CASE       (				snake_case_      :							str  ,						snake_case_      :							Union[str, Any]  ,						snake_case_      :							Optional[int]     ):
	snake_case__				:   Union[str, Any]     =						get_dataset_infos(__snake_case     )
	assert list(infos.keys()     ) == expected_configs
	snake_case__				:   Any     =						expected_configs[0]
	assert expected_config in infos
	snake_case__				:   Optional[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   SCREAMING_SNAKE_CASE       (				snake_case_      :							Optional[int]  ,						snake_case_      :							List[str]  ,						snake_case_      :							Tuple     ):
	snake_case__				:   Dict     =						get_dataset_infos(__snake_case     )
	assert expected_config in infos
	snake_case__				:   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   SCREAMING_SNAKE_CASE       (				snake_case_      :							Dict  ,						snake_case_      :							Union[str, Any]  ,						snake_case_      :							Tuple     ):
	with pytest.raises(__snake_case     ):
		get_dataset_split_names(__snake_case  ,						config_name=__snake_case     )











def   SCREAMING_SNAKE_CASE       (				snake_case_      :							str     ):
	snake_case__				:   Any     =						[0] * len(snake_case_     )

	for i in range(1  ,						len(snake_case_     )     ):
		# use last results for better performance - dynamic programming
		snake_case__				:   Union[str, Any]     =						prefix_result[i - 1]
		while j > 0 and input_string[i] != input_string[j]:
			snake_case__				:   str     =						prefix_result[j - 1]

		if input_string[i] == input_string[j]:
			j += 1
		snake_case__				:   int     =						j

	return prefix_result







def   SCREAMING_SNAKE_CASE       (				snake_case_      :							str     ):
	return max(prefix_function(snake_case_     )     )


if __name__ == "__main__":
	import doctest

	doctest.testmod()



