



'''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'''):
 _lowerCAmelCase      						=	{
     '''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:
 _lowerCAmelCase      						=	{
     '''linear''': PIL.Image.LINEAR,
     '''bilinear''': PIL.Image.BILINEAR,
     '''bicubic''': PIL.Image.BICUBIC,
     '''lanczos''': PIL.Image.LANCZOS,
     '''nearest''': PIL.Image.NEAREST,
 }
def    _SCREAMING_SNAKE_CASE  (       UpperCamelCase			):



    """simple docstring"""





    lowerCAmelCase__ :  List[str]							      =					(images / 2 + 0.5).clamp(0							,    1			)
    lowerCAmelCase__ :  Optional[Any]							      =					images.cpu().permute(0							,    2							,    3							,    1			).float().numpy()
    lowerCAmelCase__ :  Optional[int]							      =					numpy_to_pil(UpperCamelCase			)
    return images




def    _SCREAMING_SNAKE_CASE  (       UpperCamelCase			):



    """simple docstring"""





    if images.ndim == 3:
        lowerCAmelCase__ :  List[str]							      =					images[None, ...]
    lowerCAmelCase__ :  int							      =					(images * 255).round().astype("""uint8"""			)
    if images.shape[-1] == 1:
        # special case for grayscale (single channel) images
        lowerCAmelCase__ :  int							      =					[Image.fromarray(image.squeeze()							,    mode="""L"""			) for image in images]
    else:
        lowerCAmelCase__ :  Tuple							      =					[Image.fromarray(UpperCamelCase			) for image in images]

    return pil_images










"""simple docstring"""



from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)


__A		:       Union[str, Any]  				=		{}

try:
						if not is_sentencepiece_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__A		:       Dict  				=		['''NllbTokenizer''']

try:
						if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__A		:       Dict  				=		['''NllbTokenizerFast''']


if TYPE_CHECKING:
						try:
												if not is_sentencepiece_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .tokenization_nllb import NllbTokenizer

						try:
												if not is_tokenizers_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .tokenization_nllb_fast import NllbTokenizerFast

else:
						import sys

						__A		:       List[Any]  				=		_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



