'''simple docstring'''




from string import ascii_uppercase

_a   :	List[str] 							=   {str(ord(c) - 55): c for c in ascii_uppercase}

def _lowercase	(      lowerCamelCase__							,    lowerCamelCase__						)					->       str:





       """simple docstring"""


       if isinstance(lowerCamelCase__							,    lowerCamelCase__						):
              raise TypeError("int() can't convert non-string with explicit base"						)
       if num < 0:
              raise ValueError("parameter must be positive int"						)
       if isinstance(lowerCamelCase__							,    lowerCamelCase__						):
              raise TypeError("'str' object cannot be interpreted as an integer"						)
       if isinstance(lowerCamelCase__							,    lowerCamelCase__						):
              raise TypeError("'float' object cannot be interpreted as an integer"						)
       if base in (0, 1):
              raise ValueError("base must be >= 2"						)
       if base > 36:
              raise ValueError("base must be <= 36"						)
       __UpperCAmelCase  :				Union[str, Any]       				=		""
       __UpperCAmelCase  :				List[str]       				=		0
       __UpperCAmelCase  :				Any       				=		0
       while div != 1:
              __UpperCAmelCase				, __UpperCAmelCase  :				Union[str, Any]       				=		divmod(lowerCamelCase__							,    lowerCamelCase__						)
              if base >= 11 and 9 < mod < 36:
                     __UpperCAmelCase  :				Optional[Any]       				=		ALPHABET_VALUES[str(lowerCamelCase__						)]
              else:
                     __UpperCAmelCase  :				Union[str, Any]       				=		str(lowerCamelCase__						)
              new_value += actual_value
              __UpperCAmelCase  :				Union[str, Any]       				=		num // base
              __UpperCAmelCase  :				Union[str, Any]       				=		div
              if div == 0:
                     return str(new_value[::-1]						)
              elif div == 1:
                     new_value += str(lowerCamelCase__						)
                     return str(new_value[::-1]						)

       return new_value[::-1]


if __name__ == "__main__":
   import doctest

   doctest.testmod()

   for base in range(2, 37):
      for num in range(1000):
         assert int(decimal_to_any(num, base), base) == num, (
             num,
             base,
             decimal_to_any(num, base),
             int(decimal_to_any(num, base), base),
         )







'''simple docstring'''




import time
import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch, torch_device

from ..test_modeling_common import ids_tensor


if is_torch_available():
   import torch

   from transformers.generation import (
       MaxLengthCriteria,
       MaxNewTokensCriteria,
       MaxTimeCriteria,
       StoppingCriteriaList,
       validate_stopping_criteria,
   )






@require_torch
class 		__A       (unittest.TestCase   ):






       def 			_snake_case						(      self				,     UpperCamelCase_      ):
              __UpperCAmelCase  :				List[str]       				=		3
              __UpperCAmelCase  :				Tuple       				=		2_50

              __UpperCAmelCase  :				str       				=		ids_tensor((batch_size, length)				,     UpperCamelCase_      )
              __UpperCAmelCase  :				Any       				=		torch.ones((batch_size, length)				,     device=UpperCamelCase_				,     dtype=torch.float      ) / length
              return input_ids, scores






       def 			_snake_case						(      self      ):
              __UpperCAmelCase				, __UpperCAmelCase  :				Tuple       				=		self._get_tensors(5      )

              __UpperCAmelCase  :				Tuple       				=		StoppingCriteriaList(
                  [
                      MaxLengthCriteria(max_length=10      ),
                      MaxTimeCriteria(max_time=0.1      ),
                  ]      )

              self.assertFalse(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )

              __UpperCAmelCase				, __UpperCAmelCase  :				int       				=		self._get_tensors(9      )
              self.assertFalse(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )

              __UpperCAmelCase				, __UpperCAmelCase  :				Optional[int]       				=		self._get_tensors(10      )
              self.assertTrue(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )






       def 			_snake_case						(      self      ):
              __UpperCAmelCase  :				int       				=		MaxLengthCriteria(max_length=10      )

              __UpperCAmelCase				, __UpperCAmelCase  :				Tuple       				=		self._get_tensors(5      )
              self.assertFalse(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )

              __UpperCAmelCase				, __UpperCAmelCase  :				Dict       				=		self._get_tensors(9      )
              self.assertFalse(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )

              __UpperCAmelCase				, __UpperCAmelCase  :				Optional[int]       				=		self._get_tensors(10      )
              self.assertTrue(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )






       def 			_snake_case						(      self      ):
              __UpperCAmelCase  :				Optional[Any]       				=		MaxNewTokensCriteria(start_length=5				,     max_new_tokens=5      )

              __UpperCAmelCase				, __UpperCAmelCase  :				List[str]       				=		self._get_tensors(5      )
              self.assertFalse(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )

              __UpperCAmelCase				, __UpperCAmelCase  :				Dict       				=		self._get_tensors(9      )
              self.assertFalse(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )

              __UpperCAmelCase				, __UpperCAmelCase  :				Optional[Any]       				=		self._get_tensors(10      )
              self.assertTrue(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )

              __UpperCAmelCase  :				Union[str, Any]       				=		StoppingCriteriaList([criteria]      )
              self.assertEqual(criteria_list.max_length				,     10      )






       def 			_snake_case						(      self      ):
              __UpperCAmelCase				, __UpperCAmelCase  :				Optional[Any]       				=		self._get_tensors(5      )

              __UpperCAmelCase  :				str       				=		MaxTimeCriteria(max_time=0.1      )
              self.assertFalse(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )

              __UpperCAmelCase  :				str       				=		MaxTimeCriteria(max_time=0.1				,     initial_timestamp=time.time() - 0.2      )
              self.assertTrue(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )







       def 			_snake_case						(      self      ):
              validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(10      )]      )				,     10      )

              with self.assertWarns(UpperCamelCase_      ):
                     validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(10      )]      )				,     11      )

              __UpperCAmelCase  :				Optional[int]       				=		validate_stopping_criteria(StoppingCriteriaList()				,     11      )

              self.assertEqual(len(UpperCamelCase_      )				,     1      )






