
'''simple docstring'''

import os
from collections import namedtuple

import pytest

from datasets import ClassLabel, Features, Sequence, Value
from datasets.commands.test import TestCommand
from datasets.info import DatasetInfo, DatasetInfosDict


snake_case									=    namedtuple(
    """_TestCommandArgs""",
    [
        """dataset""",
        """name""",
        """cache_dir""",
        """data_dir""",
        """all_configs""",
        """save_infos""",
        """ignore_verifications""",
        """force_redownload""",
        """clear_cache""",
    ],
    defaults=[None, None, None, False, False, False, False, False],
)


def        UpperCAmelCase_ (  lowerCamelCase_      ,			lowerCamelCase_			):







 """simple docstring"""


 return (abs(source - target			) / target) < 0.01







@pytest.mark.integration
def        UpperCAmelCase_ (  lowerCamelCase_			):







 """simple docstring"""


 lowerCAmelCase__     :   str     		=	_TestCommandArgs(dataset=lowerCamelCase_      ,			all_configs=lowerCamelCase_      ,			save_infos=lowerCamelCase_			)
 lowerCAmelCase__     :   int     		=	TestCommand(*lowerCamelCase_			)
 test_command.run()
 lowerCAmelCase__     :   Any     		=	os.path.join(lowerCamelCase_      ,			"README.md"			)
 assert os.path.exists(lowerCamelCase_			)
 lowerCAmelCase__     :   Any     		=	DatasetInfosDict.from_directory(lowerCamelCase_			)
 lowerCAmelCase__     :   List[Any]     		=	DatasetInfosDict(
     {
         "default": DatasetInfo(
             features=Features(
                 {
                     "tokens": Sequence(Value("string"			)			),
                     "ner_tags": Sequence(
                         ClassLabel(names=["O", "B-PER", "I-PER", "B-ORG", "I-ORG", "B-LOC", "I-LOC"]			)			),
                     "langs": Sequence(Value("string"			)			),
                     "spans": Sequence(Value("string"			)			),
                 }			)      ,			splits=[
                 {
                     "name": "train",
                     "num_bytes": 2_3_5_1_5_6_3,
                     "num_examples": 1_0_0_0_0,
                 },
                 {
                     "name": "validation",
                     "num_bytes": 2_3_8_4_1_8,
                     "num_examples": 1_0_0_0,
                 },
             ]      ,			download_size=3_9_4_0_6_8_0      ,			dataset_size=2_5_8_9_9_8_1      ,			)
     }			)
 assert dataset_infos.keys() == expected_dataset_infos.keys()
 for key in DatasetInfo._INCLUDED_INFO_IN_YAML:
  lowerCAmelCase__		,     lowerCAmelCase__     :   Dict     		=	getattr(dataset_infos["default"]      ,			lowerCamelCase_			), getattr(expected_dataset_infos["default"]      ,			lowerCamelCase_			)
  if key == "num_bytes":
   assert is_apercent_close(lowerCamelCase_      ,			lowerCamelCase_			)
  elif key == "splits":
   assert list(lowerCamelCase_			) == list(lowerCamelCase_			)
   for split in result:
    assert result[split].name == expected[split].name
    assert result[split].num_examples == expected[split].num_examples
    assert is_apercent_close(result[split].num_bytes      ,			expected[split].num_bytes			)
  else:
   result == expected







'''simple docstring'''

def        UpperCAmelCase_ (  lowerCamelCase_      ,			lowerCamelCase_      ,			lowerCamelCase_      ,			lowerCamelCase_			):







 """simple docstring"""


 if height >= 1:
  move_tower(height - 1      ,			lowerCamelCase_      ,			lowerCamelCase_      ,			lowerCamelCase_			)
  move_disk(lowerCamelCase_      ,			lowerCamelCase_			)
  move_tower(height - 1      ,			lowerCamelCase_      ,			lowerCamelCase_      ,			lowerCamelCase_			)


def        UpperCAmelCase_ (  lowerCamelCase_      ,			lowerCamelCase_			):







 """simple docstring"""


 print("moving disk from"      ,			lowerCamelCase_      ,			"to"      ,			lowerCamelCase_			)


def        UpperCAmelCase_ (  ):







 """simple docstring"""


 lowerCAmelCase__     :   List[str]     		=	int(input("Height of hanoi: "			).strip()			)
 move_tower(lowerCamelCase_      ,			"A"      ,			"B"      ,			"C"			)


if __name__ == "__main__":
     main()





