


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        lowerCamelCase__	(							unittest.TestCase      ):






			"""simple docstring"""






			@slow
			def 				snake_case__				(							self     ):

						'''simple docstring'''


						UpperCamelCase__					=       FlaxMTaForConditionalGeneration.from_pretrained("google/mt5-small"     )
						UpperCamelCase__					=       AutoTokenizer.from_pretrained("google/mt5-small"     )

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

						UpperCamelCase__					=       shift_tokens_right(snake_case      ,						model.config.pad_token_id      ,						model.config.decoder_start_token_id     )

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

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

						UpperCamelCase__					=       -84.9127
						self.assertTrue(abs(mtf_score - EXPECTED_SCORE     ) < 1E-4     )






def        UpperCamelCase_(				_A   :List[str]				,     _A   :Tuple				,     _A   :Any				,     _A   :Tuple				,     _A   :Optional[int]				,     _A   :str  )->		List[str]:
			if index == r:
						for j in range(_A  ):
									print(data[j]				,     end=" "  )
						print(" "  )
						return
			#  When no more elements are there to put in data[]
			if i >= n:
						return
			# current is included, put next at next location
			UpperCamelCase__					=       arr[i]
			combination_util(_A				,     _A				,     _A				,     index + 1				,     _A				,     i + 1  )
			# current is excluded, replace it with
			# next (Note that i+1 is passed, but
			# index is not changed)
			combination_util(_A				,     _A				,     _A				,     _A				,     _A				,     i + 1  )
			# The main function that prints all combinations
			# of size r in arr[] of size n. This function
			# mainly uses combinationUtil()
def        UpperCamelCase_(				_A   :Dict				,     _A   :Optional[Any]				,     _A   :Union[str, Any]  )->		Optional[int]:
			# A temporary array to store all combination one by one
			UpperCamelCase__					=       [0] * r
			# Print all combination using temporary array 'data[]'
			combination_util(_A				,     _A				,     _A				,     0				,     _A				,     0  )


if __name__ == "__main__":
						# Driver code to check the function above
						__UpperCamelCase    		=       [1_0, 2_0, 3_0, 4_0, 5_0]
						print_combination(arr, len(arr), 3)
						# This code is contributed by Ambuj sahu


