


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


UpperCAmelCase_				:			Optional[Any]   =	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 	SCREAMING_SNAKE_CASE_						(      __A			:      Dict  ,   __A			:      Dict    )     ->		Optional[int]:

       """simple docstring"""

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







@pytest.mark.integration
def 	SCREAMING_SNAKE_CASE_						(      __A			:      List[Any]    )     ->		Any:

       """simple docstring"""

       a_ :		int							=  _TestCommandArgs(dataset=__A  ,   all_configs=__A  ,   save_infos=__A    )
       a_ :		Optional[int]							=  TestCommand(*__A    )
       test_command.run()
       a_ :		Optional[int]							=  os.path.join(__A  ,   'README.md'    )
       assert os.path.exists(__A    )
       a_ :		List[str]							=  DatasetInfosDict.from_directory(__A    )
       a_ :		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_35_15_63,
                           'num_examples': 1_00_00,
                       },
                       {
                           'name': 'validation',
                           'num_bytes': 23_84_18,
                           'num_examples': 10_00,
                       },
                   ]  ,   download_size=3_94_06_80  ,   dataset_size=2_58_99_81  ,   )
           }    )
       assert dataset_infos.keys() == expected_dataset_infos.keys()
       for key in DatasetInfo._INCLUDED_INFO_IN_YAML:
              a_ :		Any							=  getattr(dataset_infos['default']  ,   __A    ), getattr(expected_dataset_infos['default']  ,   __A    )
              if key == "num_bytes":
                     assert is_apercent_close(__A  ,   __A    )
              elif key == "splits":
                     assert list(__A    ) == list(__A    )
                     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






from __future__ import annotations

from math import pi

# Define the Reduced Planck Constant ℏ (H bar), speed of light C, value of
# Pi and the function
UpperCAmelCase_				:			str   =	1.054571817e-34  # unit of ℏ : J * s

UpperCAmelCase_				:			Dict   =	3e8  # unit of c : m * s^-1







def 	SCREAMING_SNAKE_CASE_						(      __A			:      float  ,   __A			:      float  ,   __A			:      float    )     ->		dict[str, float]:

       """simple docstring"""

       if (force, area, distance).count(0    ) != 1:
              raise ValueError('One and only one argument must be 0'    )
       if force < 0:
              raise ValueError('Magnitude of force can not be negative'    )
       if distance < 0:
              raise ValueError('Distance can not be negative'    )
       if area < 0:
              raise ValueError('Area can not be negative'    )
       if force == 0:
              a_ :		Optional[Any]							=  (REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (
                  2_40 * (distance) ** 4
              )
              return {"force": force}
       elif area == 0:
              a_ :		List[str]							=  (2_40 * force * (distance) ** 4) / (
                  REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2
              )
              return {"area": area}
       elif distance == 0:
              a_ :		Tuple							=  (
                  (REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (2_40 * force)
              ) ** (1 / 4)
              return {"distance": distance}
       raise ValueError('One and only one argument must be 0'    )


# Run doctest
if __name__ == "__main__":
   import doctest

   doctest.testmod()


