


'''simple docstring'''
import PIL.Image
import PIL.ImageOps
from packaging import version
from PIL import Image


if version.parse(version.parse(PIL.__version__).base_version) >= version.parse('''9.1.0'''):
		__snake_case							      =     {
		    '''linear''': PIL.Image.Resampling.BILINEAR,
		    '''bilinear''': PIL.Image.Resampling.BILINEAR,
		    '''bicubic''': PIL.Image.Resampling.BICUBIC,
		    '''lanczos''': PIL.Image.Resampling.LANCZOS,
		    '''nearest''': PIL.Image.Resampling.NEAREST,
		}
else:
		__snake_case							      =     {
		    '''linear''': PIL.Image.LINEAR,
		    '''bilinear''': PIL.Image.BILINEAR,
		    '''bicubic''': PIL.Image.BICUBIC,
		    '''lanczos''': PIL.Image.LANCZOS,
		    '''nearest''': PIL.Image.NEAREST,
		}


def 			a      (			__a   )  ->	List[str]:



					'''simple docstring'''






					UpperCamelCase__   :Optional[Any]												= (images / 2 + 0.5).clamp(0 ,					1   )
					UpperCamelCase__   :Dict												= images.cpu().permute(0 ,					2 ,					3 ,					1   ).float().numpy()
					UpperCamelCase__   :Optional[int]												= numpy_to_pil(__a   )
					return images







def 			a      (			__a   )  ->	Dict:



					'''simple docstring'''






					if images.ndim == 3:
										UpperCamelCase__   :List[str]												= images[None, ...]
					UpperCamelCase__   :Dict												= (images * 255).round().astype('''uint8'''   )
					if images.shape[-1] == 1:
										# special case for grayscale (single channel) images
										UpperCamelCase__   :Union[str, Any]												= [Image.fromarray(image.squeeze() ,					mode='''L'''   ) for image in images]
					else:
										UpperCamelCase__   :Optional[Any]												= [Image.fromarray(__a   ) for image in images]

					return pil_images



'''simple docstring'''
from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__snake_case							      =     logging.get_logger(__name__)

__snake_case							      =     {
    '''camembert-base''': '''https://huggingface.co/camembert-base/resolve/main/config.json''',
    '''umberto-commoncrawl-cased-v1''': (
        '''https://huggingface.co/Musixmatch/umberto-commoncrawl-cased-v1/resolve/main/config.json'''
    ),
    '''umberto-wikipedia-uncased-v1''': (
        '''https://huggingface.co/Musixmatch/umberto-wikipedia-uncased-v1/resolve/main/config.json'''
    ),
}
class    lowercase	(							A__					):

		"""simple docstring"""

		_a     =				'camembert'




		def __init__(		self    ,   UpperCamelCase_=30522    ,   UpperCamelCase_=768    ,   UpperCamelCase_=12    ,   UpperCamelCase_=12    ,   UpperCamelCase_=3072    ,   UpperCamelCase_="gelu"    ,   UpperCamelCase_=0.1    ,   UpperCamelCase_=0.1    ,   UpperCamelCase_=512    ,   UpperCamelCase_=2    ,   UpperCamelCase_=0.02    ,   UpperCamelCase_=1e-12    ,   UpperCamelCase_=1    ,   UpperCamelCase_=0    ,   UpperCamelCase_=2    ,   UpperCamelCase_="absolute"    ,   UpperCamelCase_=True    ,   UpperCamelCase_=None    ,   **UpperCamelCase_    ,   ):

							'''simple docstring'''


							super().__init__(pad_token_id=UpperCamelCase_    ,   bos_token_id=UpperCamelCase_    ,   eos_token_id=UpperCamelCase_    ,   **UpperCamelCase_							)

							UpperCamelCase__   :int												= vocab_size
							UpperCamelCase__   :Optional[int]												= hidden_size
							UpperCamelCase__   :Optional[int]												= num_hidden_layers
							UpperCamelCase__   :List[Any]												= num_attention_heads
							UpperCamelCase__   :Union[str, Any]												= hidden_act
							UpperCamelCase__   :List[Any]												= intermediate_size
							UpperCamelCase__   :int												= hidden_dropout_prob
							UpperCamelCase__   :Tuple												= attention_probs_dropout_prob
							UpperCamelCase__   :Union[str, Any]												= max_position_embeddings
							UpperCamelCase__   :Tuple												= type_vocab_size
							UpperCamelCase__   :int												= initializer_range
							UpperCamelCase__   :List[str]												= layer_norm_eps
							UpperCamelCase__   :int												= position_embedding_type
							UpperCamelCase__   :Any												= use_cache
							UpperCamelCase__   :Any												= classifier_dropout



class    lowercase	(							A__					):

		"""simple docstring"""

		@property
		def     lowerCAmelCase__				(		self							):

							'''simple docstring'''


							if self.task == "multiple-choice":
												UpperCamelCase__   :List[str]												= {0: '''batch''', 1: '''choice''', 2: '''sequence'''}
							else:
												UpperCamelCase__   :Tuple												= {0: '''batch''', 1: '''sequence'''}
							return OrderedDict(
							    [
							        ('''input_ids''', dynamic_axis),
							        ('''attention_mask''', dynamic_axis),
							    ]							)