


'''simple docstring'''






__UpperCAmelCase       							=				{
    '''meter''': '''m''',
    '''kilometer''': '''km''',
    '''megametre''': '''Mm''',
    '''gigametre''': '''Gm''',
    '''terametre''': '''Tm''',
    '''petametre''': '''Pm''',
    '''exametre''': '''Em''',
    '''zettametre''': '''Zm''',
    '''yottametre''': '''Ym''',
}
# Exponent of the factor(meter)
__UpperCAmelCase       							=				{
    '''m''': 0,
    '''km''': 3,
    '''Mm''': 6,
    '''Gm''': 9,
    '''Tm''': 12,
    '''Pm''': 15,
    '''Em''': 18,
    '''Zm''': 21,
    '''Ym''': 24,
}


def    _snake_case  (	A					,       A					,       A			)		->       float:
							lowerCAmelCase__			  =      from_type.lower().strip('''s'''			)
							lowerCAmelCase__			  =      to_type.lower().strip('''s'''			)

							lowerCAmelCase__			  =      UNIT_SYMBOL.get(A					,       A			)
							lowerCAmelCase__			  =      UNIT_SYMBOL.get(A					,       A			)

							if from_sanitized not in METRIC_CONVERSION:
														lowerCAmelCase__			  =      (
														    F"""Invalid 'from_type' value: {from_type!r}.\n"""
														    F"""Conversion abbreviations are: {", ".join(A			)}"""
														)
														raise ValueError(A			)
							if to_sanitized not in METRIC_CONVERSION:
														lowerCAmelCase__			  =      (
														    F"""Invalid 'to_type' value: {to_type!r}.\n"""
														    F"""Conversion abbreviations are: {", ".join(A			)}"""
														)
														raise ValueError(A			)
							lowerCAmelCase__			  =      METRIC_CONVERSION[from_sanitized]
							lowerCAmelCase__			  =      METRIC_CONVERSION[to_sanitized]
							lowerCAmelCase__			  =      1

							if from_exponent > to_exponent:
														lowerCAmelCase__			  =      from_exponent - to_exponent
							else:
														lowerCAmelCase__			  =      -(to_exponent - from_exponent)

							return value * pow(10					,       A			)


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

		testmod()







'''simple docstring'''

from transformers import DistilBertTokenizer, DistilBertTokenizerFast
from transformers.testing_utils import require_tokenizers, slow

from ..bert.test_tokenization_bert import BertTokenizationTest




@require_tokenizers
class      A     (   SCREAMING_SNAKE_CASE__    ):






 """simple docstring"""





 __a      :    Optional[int]			  =    DistilBertTokenizer
 __a      :    Union[str, Any]			  =    DistilBertTokenizerFast
 __a      :    Any			  =    True
 @slow
 def 	_UpperCAmelCase							(				self			):
       UpperCamelCase_					: List[Any]            =				DistilBertTokenizer.from_pretrained("""distilbert-base-uncased"""			)

       UpperCamelCase_					: Dict            =				tokenizer.encode("""sequence builders"""      ,  add_special_tokens=__lowerCAmelCase			)
       UpperCamelCase_					: int            =				tokenizer.encode("""multi-sequence build"""      ,  add_special_tokens=__lowerCAmelCase			)

       UpperCamelCase_					: Union[str, Any]            =				tokenizer.build_inputs_with_special_tokens(__lowerCAmelCase			)
       UpperCamelCase_					: Dict            =				tokenizer.build_inputs_with_special_tokens(__lowerCAmelCase      ,  __lowerCAmelCase			)

       assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
       assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
           tokenizer.sep_token_id
       ]






