






"""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'):
						A__	:    Dict			 = {
						    '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:
						A__	:    Dict			 = {
						    'linear': PIL.Image.LINEAR,
						    'bilinear': PIL.Image.BILINEAR,
						    'bicubic': PIL.Image.BICUBIC,
						    'lanczos': PIL.Image.LANCZOS,
						    'nearest': PIL.Image.NEAREST,
						}

def 			_snake_case    (					lowerCamelCase__     :   Dict  )    ->     Dict:






							"""simple docstring"""




							lowerCamelCase_	:							Union[str, Any]									=(images / 2 + 0.5).clamp(0    ,						1  )
							lowerCamelCase_	:							Any									=images.cpu().permute(0    ,						2    ,						3    ,						1  ).float().numpy()
							lowerCamelCase_	:							List[Any]									=numpy_to_pil(_SCREAMING_SNAKE_CASE  )
							return images

def 			_snake_case    (					lowerCamelCase__     :   str  )    ->     Any:






							"""simple docstring"""




							if images.ndim == 3:
														lowerCamelCase_	:							Dict									=images[None, ...]
							lowerCamelCase_	:							Optional[Any]									=(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_	:							int									=[Image.fromarray(_SCREAMING_SNAKE_CASE  ) for image in images]

							return pil_images











"""simple docstring"""



from typing import TYPE_CHECKING

from ...utils import _LazyModule


A__	:    Tuple			 = {'tokenization_byt5': ['ByT5Tokenizer']}


if TYPE_CHECKING:
						from .tokenization_byta import ByTaTokenizer
else:
						import sys

						A__	:    Dict			 = _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)



