


"""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				):






		'''simple docstring'''

		@slow
		def 				SCREAMING_SNAKE_CASE  (self					):





			'''simple docstring'''

			__snake_case	:						int						=				FlaxMTaForConditionalGeneration.from_pretrained('''google/mt5-small'''					)
			__snake_case	:						Optional[Any]						=				AutoTokenizer.from_pretrained('''google/mt5-small'''					)

			__snake_case	:						Dict						=				tokenizer('''Hello there'''				,       return_tensors='''np'''					).input_ids
			__snake_case	:						Dict						=				tokenizer('''Hi I am'''				,       return_tensors='''np'''					).input_ids

			__snake_case	:						Optional[int]						=				shift_tokens_right(a_				,       model.config.pad_token_id				,       model.config.decoder_start_token_id					)

			__snake_case	:						List[Any]						=				model(a_				,       decoder_input_ids=a_					).logits
			__snake_case	:						Optional[Any]						=				optax.softmax_cross_entropy(a_				,       onehot(a_				,       logits.shape[-1]					)					).mean()

			__snake_case	:						Union[str, Any]						=				-(labels.shape[-1] * loss.item())

			__snake_case	:						List[str]						=				-84.9127
			self.assertTrue(abs(mtf_score - EXPECTED_SCORE					) < 1E-4					)









"""simple docstring"""
from math import factorial, radians






def 		lowercase							(     _snake_case						:      float     ,   _snake_case						:      int = 18     ,   _snake_case						:      int = 10     )     ->float:
	"""simple docstring"""





	__snake_case	:						Any						=				angle_in_degrees - ((angle_in_degrees // 360.0) * 360.0)

	# Converting from degrees to radians
	__snake_case	:						int						=				radians(_snake_case     )

	__snake_case	:						str						=				angle_in_radians
	__snake_case	:						Optional[int]						=				3
	__snake_case	:						List[Any]						=				-1

	for _ in range(_snake_case     ):
		result += (b * (angle_in_radians**a)) / factorial(_snake_case     )

		__snake_case	:						int						=				-b  # One positive term and the next will be negative and so on...
		a += 2  # Increased by 2 for every term.

	return round(_snake_case     ,   _snake_case     )


if __name__ == "__main__":
			__import__("""doctest""").testmod()





