





'''simple docstring'''

import unittest

from transformers import is_flax_available
from transformers.testing_utils import require_flax, require_sentencepiece, require_tokenizers, require_torch, slow


if is_flax_available():
  import optax
  from flax.training.common_utils import onehot

  from transformers import AutoTokenizer, FlaxMTaForConditionalGeneration
  from transformers.models.ta.modeling_flax_ta import shift_tokens_right






@require_torch
@require_sentencepiece
@require_tokenizers
@require_flax
class   UpperCAmelCase      (			unittest.TestCase							):
 @slow
 def 	UpperCAmelCase_				(							self :Tuple				)->				str:
     A__							=     FlaxMTaForConditionalGeneration.from_pretrained("google/mt5-small"				)
     A__							=     AutoTokenizer.from_pretrained("google/mt5-small"				)

     A__							=     tokenizer("Hello there"		,			return_tensors="np"				).input_ids
     A__							=     tokenizer("Hi I am"		,			return_tensors="np"				).input_ids

     A__							=     shift_tokens_right(lowercase_		,			model.config.pad_token_id		,			model.config.decoder_start_token_id				)

     A__							=     model(lowercase_		,			decoder_input_ids=lowercase_				).logits
     A__							=     optax.softmax_cross_entropy(lowercase_		,			onehot(lowercase_		,			logits.shape[-1]				)				).mean()

     A__							=     -(labels.shape[-1] * loss.item())

     A__							=     -8_4.9_1_2_7
     self.assertTrue(abs(mtf_score - EXPECTED_SCORE				) < 1E-4				)










'''simple docstring'''

from string import ascii_uppercase

__lowerCAmelCase				:      Union[str, Any]						      ={str(ord(c) - 55): c for c in ascii_uppercase}





def 		UpperCamelCase							(				_lowerCamelCase   :   int		,			_lowerCamelCase   :   int			):
    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"			)
    A__							=     ""
    A__							=     0
    A__							=     0
    while div != 1:
        A__,      A__							=     divmod(_lowerCamelCase		,			_lowerCamelCase			)
        if base >= 11 and 9 < mod < 36:
            A__							=     ALPHABET_VALUES[str(_lowerCamelCase			)]
        else:
            A__							=     str(_lowerCamelCase			)
        new_value += actual_value
        A__							=     num // base
        A__							=     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),
      )



