


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        lowerCamelCase__	(							unittest.TestCase      ):






			"""simple docstring"""






			@slow
			def 				snake_case__				(							self     ):

						'''simple docstring'''


						UpperCamelCase__					=       TFXLMRobertaModel.from_pretrained("jplu/tf-xlm-roberta-base"     )

						UpperCamelCase__					=       {
						    "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__					=       model(_SCREAMING_SNAKE_CASE     )["last_hidden_state"]
						UpperCamelCase__					=       tf.TensorShape((1, 6, 768)     )
						self.assertEqual(output.shape      ,						_SCREAMING_SNAKE_CASE     )
						# compare the actual values for a slice.
						UpperCamelCase__					=       tf.convert_to_tensor(
						    [
						        [
						            [0.0681762, 0.10894451, 0.06772504],
						            [-0.06423668, 0.02366615, 0.04329344],
						            [-0.06057295, 0.09974135, -0.00070584],
						        ]
						    ]      ,						dtype=tf.floataa      ,						)

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






from abc import ABC, abstractmethod
from argparse import ArgumentParser







class        lowerCamelCase__	(							UpperCAmelCase      ):






			"""simple docstring"""






			@staticmethod
			@abstractmethod
			def 				snake_case__				(							snake_case     ):

						'''simple docstring'''


						raise NotImplementedError()







			@abstractmethod
			def 				snake_case__				(							self     ):

						'''simple docstring'''


						raise NotImplementedError()


