





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   a_ (			unittest.TestCase      ):

			@slow
			def      lowerCAmelCase(   self   :  List[Any]						):






							"""simple docstring"""
							snake_case   :					Optional[int]    						=				FlaxMTaForConditionalGeneration.from_pretrained('''google/mt5-small'''						)
							snake_case   :					List[Any]    						=				AutoTokenizer.from_pretrained('''google/mt5-small'''						)

							snake_case   :					Union[str, Any]    						=				tokenizer('''Hello there'''     , return_tensors='''np'''						).input_ids
							snake_case   :					List[Any]    						=				tokenizer('''Hi I am'''     , return_tensors='''np'''						).input_ids

							snake_case   :					Optional[int]    						=				shift_tokens_right(_UpperCamelCase     , model.config.pad_token_id     , model.config.decoder_start_token_id						)

							snake_case   :					List[Any]    						=				model(_UpperCamelCase     , decoder_input_ids=_UpperCamelCase						).logits
							snake_case   :					int    						=				optax.softmax_cross_entropy(_UpperCamelCase     , onehot(_UpperCamelCase     , logits.shape[-1]						)						).mean()

							snake_case   :					List[str]    						=				-(labels.shape[-1] * loss.item())

							snake_case   :					Optional[int]    						=				-84.9127
							self.assertTrue(abs(mtf_score - EXPECTED_SCORE						) < 1e-4						)


from math import loga






def   lowerCamelCase__							(							__lowerCAmelCase    :    int							):




			"""simple docstring"""


			if a < 0:
						raise ValueError("Input value must be a positive integer"							)
			elif isinstance(__lowerCAmelCase       ,				__lowerCAmelCase							):
						raise TypeError("Input value must be a 'int' type"							)
			return 0 if (a == 0) else int(loga(a & -a							)							)


if __name__ == "__main__":
			import doctest

			doctest.testmod()



