






from __future__ import annotations

import unittest

from transformers import is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow


if is_tf_available():
   import numpy as np
   import tensorflow as tf

   from transformers import TFCamembertModel



@require_tf
@require_sentencepiece
@require_tokenizers
class 				_A			(     unittest.TestCase				):
    """simple docstring"""

    @slow
    def _a							(				self      :     List[str]      )      ->							Tuple:
           __UpperCAmelCase     				=TFCamembertModel.from_pretrained("""jplu/tf-camembert-base"""      )

           __UpperCAmelCase     				=tf.convert_to_tensor(
               [[5, 121, 11, 660, 16, 730, 25543, 110, 83, 6]] ,     dtype=tf.intaa ,     )  # J'aime le camembert !"

           __UpperCAmelCase     				=model(__SCREAMING_SNAKE_CASE      )["""last_hidden_state"""]
           __UpperCAmelCase     				=tf.TensorShape((1, 10, 768)      )
           self.assertEqual(output.shape ,     __SCREAMING_SNAKE_CASE      )
           # compare the actual values for a slice.
           __UpperCAmelCase     				=tf.convert_to_tensor(
               [[[-0.0_254, 0.0_235, 0.1_027], [0.0_606, -0.1_811, -0.0_418], [-0.1_561, -0.1_127, 0.2_687]]] ,     dtype=tf.floataa ,     )
           # camembert = torch.hub.load('pytorch/fairseq', 'camembert.v0')
           # camembert.eval()
           # expected_slice = roberta.model.forward(input_ids)[0][:, :3, :3].detach()

           self.assertTrue(np.allclose(output[:, :3, :3].numpy() ,     expected_slice.numpy() ,     atol=1e-4      )      )










from math import factorial, radians





def 						__A						(      __lowerCamelCase				,     __lowerCamelCase = 18				,     __lowerCamelCase = 10       ) ->			float:
	a									=				angle_in_degrees - ((angle_in_degrees // 360.0) * 360.0)

	# Converting from degrees to radians
	a									=				radians(__lowerCamelCase       )

	a									=				angle_in_radians
	a									=				3
	a									=				-1

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

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

	return round(__lowerCamelCase				,     __lowerCamelCase       )


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

