






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 TFXLMRobertaModel
@require_tf
@require_sentencepiece
@require_tokenizers
class        a       (					unittest.TestCase  ):



      """simple docstring"""


      @slow
      def       UpperCAmelCase ( self   :     Union[str, Any]   )				-> Optional[int]:
        __UpperCAmelCase				:      Tuple	 =    TFXLMRobertaModel.from_pretrained("""jplu/tf-xlm-roberta-base"""   )

        __UpperCAmelCase				:      Any	 =    {
            """input_ids""": tf.convert_to_tensor([[0, 2646, 10269, 83, 99942, 2]]						, dtype=tf.intaa   ),  # "My dog is cute"
            """attention_mask""": tf.convert_to_tensor([[1, 1, 1, 1, 1, 1]]						, dtype=tf.intaa   ),
        }

        __UpperCAmelCase				:      str	 =    model(__lowercase   )["""last_hidden_state"""]
        __UpperCAmelCase				:      int	 =    tf.TensorShape((1, 6, 768)   )
        self.assertEqual(output.shape						, __lowercase   )
        # compare the actual values for a slice.
        __UpperCAmelCase				:      str	 =    tf.convert_to_tensor(
            [
                [
                    [0.0_681_762, 0.10_894_451, 0.06_772_504],
                    [-0.06_423_668, 0.02_366_615, 0.04_329_344],
                    [-0.06_057_295, 0.09_974_135, -0.00_070_584],
                ]
            ]						, dtype=tf.floataa						, )

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




from __future__ import annotations


def    a      ( a	)     ->float:




			'''simple docstring'''


			SCREAMING_SNAKE_CASE     						= 0.00
			SCREAMING_SNAKE_CASE     						= 0
			for resistor in resistors:
						if resistor <= 0:
									SCREAMING_SNAKE_CASE     						= F"""Resistor at index {index} has a negative or zero value!"""
									raise ValueError(a	)
						first_sum += 1 / float(a	)
						index += 1
			return 1 / first_sum


def    a      ( a	)     ->float:




			'''simple docstring'''


			SCREAMING_SNAKE_CASE     						= 0.00
			SCREAMING_SNAKE_CASE     						= 0
			for resistor in resistors:
						sum_r += resistor
						if resistor < 0:
									SCREAMING_SNAKE_CASE     						= F"""Resistor at index {index} has a negative value!"""
									raise ValueError(a	)
						index += 1
			return sum_r


if __name__ == "__main__":
							import doctest

							doctest.testmod()