
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 TFCamembertModel



@require_tf
@require_sentencepiece
@require_tokenizers
class    _snake_case (						unittest.TestCase				):


 @slow
 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: Dict     		=   TFCamembertModel.from_pretrained("""jplu/tf-camembert-base""")

   lowercase__	: Optional[int]     		=   tf.convert_to_tensor(
       [[5, 1_21, 11, 6_60, 16, 7_30, 2_55_43, 1_10, 83, 6]]       ,	dtype=tf.intaa       ,	)  # J'aime le camembert !"

   lowercase__	: Optional[Any]     		=   model(SCREAMING_SNAKE_CASE_)["""last_hidden_state"""]
   lowercase__	: Tuple     		=   tf.TensorShape((1, 10, 7_68))
   self.assertEqual(output.shape       ,	SCREAMING_SNAKE_CASE_)
   # compare the actual values for a slice.
   lowercase__	: Optional[Any]     		=   tf.convert_to_tensor(
       [[[-0.0_2_5_4, 0.0_2_3_5, 0.1_0_2_7], [0.0_6_0_6, -0.1_8_1_1, -0.0_4_1_8], [-0.1_5_6_1, -0.1_1_2_7, 0.2_6_8_7]]]       ,	dtype=tf.floataa       ,	)
   # camembert = torch.hub.load('pytorch/fairseq', 'camembert.v0')
   # camembert.eval()
   # expected_slice = roberta.model.forward(input_ids)[0][:, :3, :3].detach()

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







import inspect
import warnings
from typing import Any, Dict, Optional, Union

from packaging import version
def 					_snake_case	(  *__snake_case  ,     __snake_case = None  ,     __snake_case=True  ,     __snake_case=2						):
					from .. import __version__

					_UpperCamelCase			     =     take_from
					_UpperCamelCase			     =     ()
					if not isinstance(args[0]  ,     __snake_case						):
										_UpperCamelCase			     =     (args,)

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

										_UpperCamelCase			     =     None
										if isinstance(__snake_case  ,     __snake_case						) and attribute in deprecated_kwargs:
															values += (deprecated_kwargs.pop(__snake_case						),)
															_UpperCamelCase			     =     f"""The `{attribute}` argument is deprecated and will be removed in version {version_name}."""
										elif hasattr(__snake_case  ,     __snake_case						):
															values += (getattr(__snake_case  ,     __snake_case						),)
															_UpperCamelCase			     =     f"""The `{attribute}` attribute is deprecated and will be removed in version {version_name}."""
										elif deprecated_kwargs is None:
															_UpperCamelCase			     =     f"""`{attribute}` is deprecated and will be removed in version {version_name}."""

										if warning is not None:
															_UpperCamelCase			     =     warning + ''' ''' if standard_warn else ''''''
															warnings.warn(warning + message  ,     __snake_case  ,     stacklevel=__snake_case						)

					if isinstance(__snake_case  ,     __snake_case						) and len(__snake_case						) > 0:
										_UpperCamelCase			     =     inspect.getouterframes(inspect.currentframe()						)[1]
										_UpperCamelCase			     =     call_frame.filename
										_UpperCamelCase			     =     call_frame.lineno
										_UpperCamelCase			     =     call_frame.function
										_UpperCamelCase     ,    _UpperCamelCase			     =     next(iter(deprecated_kwargs.items()						)						)
										raise TypeError(f"""{function} in {filename} line {line_number-1} got an unexpected keyword argument `{key}`"""						)

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