






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       __UpperCAmelCase		(unittest.TestCase    ):







			@slow
			def 							UpperCamelCase      (	self:  Dict     ):







									'''simple docstring'''




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

									_SCREAMING_SNAKE_CASE	      =  {
									    """input_ids""": tf.convert_to_tensor([[0, 2_646, 10_269, 83, 99_942, 2]]      ,	dtype=tf.intaa     ),  # "My dog is cute"
									    """attention_mask""": tf.convert_to_tensor([[1, 1, 1, 1, 1, 1]]      ,	dtype=tf.intaa     ),
									}

									_SCREAMING_SNAKE_CASE	      =  model(_SCREAMING_SNAKE_CASE     )["""last_hidden_state"""]
									_SCREAMING_SNAKE_CASE	      =  tf.TensorShape((1, 6, 768)     )
									self.assertEqual(output.shape      ,	_SCREAMING_SNAKE_CASE     )
									# compare the actual values for a slice.
									_SCREAMING_SNAKE_CASE	      =  tf.convert_to_tensor(
									    [
									        [
									            [0.0_68_17_62, 0.10_89_44_51, 0.06_77_25_04],
									            [-0.06_42_36_68, 0.02_36_66_15, 0.04_32_93_44],
									            [-0.06_05_72_95, 0.09_97_41_35, -0.00_07_05_84],
									        ]
									    ]      ,	dtype=tf.floataa      ,	)

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






"""simple docstring"""
A:   Union[str, Any]								=		{
    0: "0",
    1: "1",
    2: "2",
    3: "3",
    4: "4",
    5: "5",
    6: "6",
    7: "7",
    8: "8",
    9: "9",
    1_0: "a",
    1_1: "b",
    1_2: "c",
    1_3: "d",
    1_4: "e",
    1_5: "f",
}

def       _snake_case						(						UpperCamelCase						:		float						):
 assert type(UpperCamelCase						) in (int, float) and decimal == int(UpperCamelCase						)
 UpperCAmelCase	:					str	=	int(UpperCamelCase						)
 UpperCAmelCase	:					Optional[int]	=	""""""
 UpperCAmelCase	:					List[str]	=	False
 if decimal < 0:
  UpperCAmelCase	:					Any	=	True
  decimal *= -1
 while decimal > 0:
  UpperCAmelCase	,		UpperCAmelCase	:					Dict	=	divmod(UpperCamelCase			,		16						)
  UpperCAmelCase	:					Union[str, Any]	=	values[remainder] + hexadecimal
 UpperCAmelCase	:					int	=	"""0x""" + hexadecimal
 if negative:
  UpperCAmelCase	:					Optional[int]	=	"""-""" + hexadecimal
 return hexadecimal


if __name__ == "__main__":
      import doctest

      doctest.testmod()
