



"""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       SCREAMING_SNAKE_CASE__  (					unittest.TestCase ):

   @slow
   def 	SCREAMING_SNAKE_CASE     (   self						)  ->      str:





    '''simple docstring'''




    UpperCAmelCase	:					Optional[Any]	=	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(_SCREAMING_SNAKE_CASE						)["""last_hidden_state"""]
    UpperCAmelCase	:					List[Any]	=	tf.TensorShape((1, 6, 768)						)
    self.assertEqual(output.shape      ,     _SCREAMING_SNAKE_CASE						)
    # compare the actual values for a slice.
    UpperCAmelCase	:					Optional[int]	=	tf.convert_to_tensor(
        [
            [
                [0.068_1762, 0.1089_4451, 0.0677_2504],
                [-0.0642_3668, 0.0236_6615, 0.0432_9344],
                [-0.0605_7295, 0.0997_4135, -0.0007_0584],
            ]
        ]      ,     dtype=tf.floataa      ,     )

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





"""simple docstring"""
import inspect
import warnings
from typing import Any, Dict, Optional, Union

from packaging import version

def       _snake_case						(						*UpperCamelCase						:		str			,		UpperCamelCase						:		Optional[Union[Dict, Any]] = None			,		UpperCamelCase						:		Tuple=True			,		UpperCamelCase						:		Optional[int]=2						):
 from .. import __version__

 UpperCAmelCase	:					Tuple	=	take_from
 UpperCAmelCase	:					Optional[Any]	=	()
 if not isinstance(args[0]			,		UpperCamelCase						):
  UpperCAmelCase	:					List[str]	=	(args,)

 for attribute, version_name, message in args:
  if version.parse(version.parse(UpperCamelCase						).base_version						) >= version.parse(UpperCamelCase						):
   raise ValueError(
       F"The deprecation tuple {(attribute, version_name, message)} should be removed since diffusers'"
       F" version {__version__} is >= {version_name}"						)

  UpperCAmelCase	:					Optional[int]	=	None
  if isinstance(UpperCamelCase			,		UpperCamelCase						) and attribute in deprecated_kwargs:
   values += (deprecated_kwargs.pop(UpperCamelCase						),)
   UpperCAmelCase	:					List[str]	=	F"The `{attribute}` argument is deprecated and will be removed in version {version_name}."
  elif hasattr(UpperCamelCase			,		UpperCamelCase						):
   values += (getattr(UpperCamelCase			,		UpperCamelCase						),)
   UpperCAmelCase	:					List[Any]	=	F"The `{attribute}` attribute is deprecated and will be removed in version {version_name}."
  elif deprecated_kwargs is None:
   UpperCAmelCase	:					int	=	F"`{attribute}` is deprecated and will be removed in version {version_name}."

  if warning is not None:
   UpperCAmelCase	:					Optional[Any]	=	warning + """ """ if standard_warn else """"""
   warnings.warn(warning + message			,		UpperCamelCase			,		stacklevel=UpperCamelCase						)

 if isinstance(UpperCamelCase			,		UpperCamelCase						) and len(UpperCamelCase						) > 0:
  UpperCAmelCase	:					Optional[int]	=	inspect.getouterframes(inspect.currentframe()						)[1]
  UpperCAmelCase	:					Union[str, Any]	=	call_frame.filename
  UpperCAmelCase	:					List[Any]	=	call_frame.lineno
  UpperCAmelCase	:					List[str]	=	call_frame.function
  UpperCAmelCase	,		UpperCAmelCase	:					Optional[int]	=	next(iter(deprecated_kwargs.items()						)						)
  raise TypeError(F"{function} in {filename} line {line_number-1} got an unexpected keyword argument `{key}`"						)

 if len(UpperCamelCase						) == 0:
  return
 elif len(UpperCamelCase						) == 1:
  return values[0]
 return values
