


"""simple docstring"""

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    ):
      @slow
      def SCREAMING_SNAKE_CASE_	(		self	:	Dict							):






       '''simple docstring'''


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

       __lowercase									=	{
           """input_ids""": tf.convert_to_tensor([[0, 2_6_4_6, 1_0_2_6_9, 8_3, 9_9_9_4_2, 2]]      ,       dtype=tf.intaa							),  # "My dog is cute"
           """attention_mask""": tf.convert_to_tensor([[1, 1, 1, 1, 1, 1]]      ,       dtype=tf.intaa							),
       }

       __lowercase									=	model(A_							)["""last_hidden_state"""]
       __lowercase									=	tf.TensorShape((1, 6, 7_6_8)							)
       self.assertEqual(output.shape      ,       A_							)
       # compare the actual values for a slice.
       __lowercase									=	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"""

from typing import List

from .keymap import KEYMAP, get_character


def lowerCAmelCase_      (				UpperCamelCase__	: str ):






 """simple docstring"""







 def decorator(UpperCamelCase__	: Tuple ):
  __lowercase									=	getattr(UpperCamelCase__				,   """handle_key"""				,   [] )
  handle += [key]
  setattr(UpperCamelCase__				,   """handle_key"""				,   UpperCamelCase__ )
  return func

 return decorator


def lowerCAmelCase_      (				*UpperCamelCase__	: List[str] ):






 """simple docstring"""







 def decorator(UpperCamelCase__	: Tuple ):
  __lowercase									=	getattr(UpperCamelCase__				,   """handle_key"""				,   [] )
  handle += keys
  setattr(UpperCamelCase__				,   """handle_key"""				,   UpperCamelCase__ )
  return func

 return decorator





class    lowerCamelCase__						(		_a    ):
      def __new__(		cls	:	str      ,       A_	:	Optional[Any]      ,       A_	:	Union[str, Any]      ,       A_	:	int							):






       '''simple docstring'''


       __lowercase									=	super().__new__(cls      ,       A_      ,       A_      ,       A_							)
       if not hasattr(A_      ,       """key_handler"""							):
        setattr(A_      ,       """key_handler"""      ,       {}							)
       setattr(A_      ,       """handle_input"""      ,       KeyHandler.handle_input							)

       for value in attrs.values():
        __lowercase									=	getattr(A_      ,       """handle_key"""      ,       []							)
        for key in handled_keys:
         __lowercase									=	value
       return new_cls






      @staticmethod
      def SCREAMING_SNAKE_CASE_	(		cls	:	Dict							):






       '''simple docstring'''


       __lowercase									=	get_character()
       if char != KEYMAP["undefined"]:
        __lowercase									=	ord(A_							)
       __lowercase									=	cls.key_handler.get(A_							)
       if handler:
        __lowercase									=	char
        return handler(cls							)
       else:
        return None






def lowerCAmelCase_      (				cls	: int ):






 """simple docstring"""







 return KeyHandler(cls.__name__				,   cls.__bases__				,   cls.__dict__.copy() )
