





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,
)


UpperCAmelCase	:	Union[str, Any]		     =       pytest.mark.integration
@pytest.mark.parametrize("path"       ,       ["paws", "csv"]						)
def      _A       (		SCREAMING_SNAKE_CASE     :   Union[str, Any]       ,       SCREAMING_SNAKE_CASE     :   int						):





  """simple docstring"""



  inspect_dataset(SCREAMING_SNAKE_CASE       ,       SCREAMING_SNAKE_CASE						)
  a__	:					str										=path + ".py"
  assert script_name in os.listdir(SCREAMING_SNAKE_CASE						)
  assert "__pycache__" not in os.listdir(SCREAMING_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      _A       (		SCREAMING_SNAKE_CASE     :   str       ,       SCREAMING_SNAKE_CASE     :   int						):





  """simple docstring"""



  inspect_metric(SCREAMING_SNAKE_CASE       ,       SCREAMING_SNAKE_CASE						)
  a__	:					List[Any]										=path + ".py"
  assert script_name in os.listdir(SCREAMING_SNAKE_CASE						)
  assert "__pycache__" not in os.listdir(SCREAMING_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      _A       (		SCREAMING_SNAKE_CASE     :   str       ,       SCREAMING_SNAKE_CASE     :   str       ,       SCREAMING_SNAKE_CASE     :   Dict						):





  """simple docstring"""



  a__	:					Union[str, Any]										=get_dataset_config_info(SCREAMING_SNAKE_CASE       ,       config_name=SCREAMING_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      _A       (		SCREAMING_SNAKE_CASE     :   List[str]       ,       SCREAMING_SNAKE_CASE     :   Optional[int]       ,       SCREAMING_SNAKE_CASE     :   int						):





  """simple docstring"""



  with pytest.raises(SCREAMING_SNAKE_CASE						):
    get_dataset_config_info(SCREAMING_SNAKE_CASE       ,       config_name=SCREAMING_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      _A       (		SCREAMING_SNAKE_CASE     :   List[Any]       ,       SCREAMING_SNAKE_CASE     :   Optional[Any]						):





  """simple docstring"""



  a__	:					str										=get_dataset_config_names(SCREAMING_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      _A       (		SCREAMING_SNAKE_CASE     :   Optional[int]       ,       SCREAMING_SNAKE_CASE     :   Optional[Any]       ,       SCREAMING_SNAKE_CASE     :   Dict						):





  """simple docstring"""



  a__	:					Optional[int]										=get_dataset_infos(SCREAMING_SNAKE_CASE						)
  assert list(infos.keys()						) == expected_configs
  a__	:					List[Any]										=expected_configs[0]
  assert expected_config in infos
  a__	:					Tuple										=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       (		SCREAMING_SNAKE_CASE     :   Optional[int]       ,       SCREAMING_SNAKE_CASE     :   Optional[Any]       ,       SCREAMING_SNAKE_CASE     :   Union[str, Any]						):





  """simple docstring"""



  a__	:					Union[str, Any]										=get_dataset_infos(SCREAMING_SNAKE_CASE						)
  assert expected_config in infos
  a__	:					Union[str, 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       (		SCREAMING_SNAKE_CASE     :   Optional[Any]       ,       SCREAMING_SNAKE_CASE     :   List[Any]       ,       SCREAMING_SNAKE_CASE     :   Union[str, Any]						):





  """simple docstring"""



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













from __future__ import annotations
def      _A       (		SCREAMING_SNAKE_CASE     :   list						):





  """simple docstring"""



  if len(SCREAMING_SNAKE_CASE						) == 0:
    return []
  a__					,							a__	:					int										=min(SCREAMING_SNAKE_CASE						), max(SCREAMING_SNAKE_CASE						)
  a__	:					Optional[int]										=int(max_value - min_value						) + 1
  a__	:					list[list]										=[[] for _ in range(SCREAMING_SNAKE_CASE						)]

  for i in my_list:
    buckets[int(i - min_value						)].append(SCREAMING_SNAKE_CASE						)

  return [v for bucket in buckets for v in sorted(SCREAMING_SNAKE_CASE						)]


if __name__ == "__main__":
     from doctest import testmod

     testmod()
     assert bucket_sort([4, 5, 3, 2, 1]) == [1, 2, 3, 4, 5]
     assert bucket_sort([0, 1, -10, 15, 2, -2]) == [-10, -2, 0, 1, 2, 15]






