





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     UpperCamelCase_			(      self							)			->     Any:
            _SCREAMING_SNAKE_CASE       :	Dict						    =							FlaxMTaForConditionalGeneration.from_pretrained("google/mt5-small"							)
            _SCREAMING_SNAKE_CASE       :	Union[str, Any]						    =							AutoTokenizer.from_pretrained("google/mt5-small"							)

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

            _SCREAMING_SNAKE_CASE       :	Any						    =							shift_tokens_right(__lowerCamelCase    ,						model.config.pad_token_id    ,						model.config.decoder_start_token_id							)

            _SCREAMING_SNAKE_CASE       :	List[str]						    =							model(__lowerCamelCase    ,						decoder_input_ids=__lowerCamelCase							).logits
            _SCREAMING_SNAKE_CASE       :	Union[str, Any]						    =							optax.softmax_cross_entropy(__lowerCamelCase    ,						onehot(__lowerCamelCase    ,						logits.shape[-1]							)							).mean()

            _SCREAMING_SNAKE_CASE       :	Optional[Any]						    =							-(labels.shape[-1] * loss.item())

            _SCREAMING_SNAKE_CASE       :	Optional[Any]						    =							-84.9127
            self.assertTrue(abs(mtf_score - EXPECTED_SCORE							) < 1E-4							)






import cmath
import math






def     lowerCamelCase__			(__lowerCamelCase,       __lowerCamelCase,       __lowerCamelCase,       __lowerCamelCase	):
     _SCREAMING_SNAKE_CASE       :	Any						    =							math.radians(__lowerCamelCase	)
     _SCREAMING_SNAKE_CASE       :	Tuple						    =							math.radians(__lowerCamelCase	)

     # Convert voltage and current to rectangular form
     _SCREAMING_SNAKE_CASE       :	str						    =							cmath.rect(__lowerCamelCase,       __lowerCamelCase	)
     _SCREAMING_SNAKE_CASE       :	str						    =							cmath.rect(__lowerCamelCase,       __lowerCamelCase	)

     # Calculate apparent power
     return voltage_rect * current_rect


if __name__ == "__main__":
       import doctest

       doctest.testmod()