"""simple docstring"""



from typing import List, Union

import numpy as np

from ..utils import add_end_docstrings, is_torch_available, is_vision_available, logging, requires_backends
from .base import PIPELINE_INIT_ARGS, Pipeline


if is_vision_available():
       from PIL import Image

       from ..image_utils import load_image

if is_torch_available():
       import torch

       from ..models.auto.modeling_auto import MODEL_FOR_DEPTH_ESTIMATION_MAPPING

__lowercase		:		Optional[Any]														=							logging.get_logger(__name__)



@add_end_docstrings(_UpperCAmelCase					)
class      _A	(						_UpperCAmelCase					):




    """simple docstring"""




    def __init__(		self							:     Optional[int]	,      *A_							:     Dict	,      **A_							:     int    )    ->       List[Any]:
         super().__init__(*A_	,      **A_    )
         requires_backends(self	,      '''vision'''    )
         self.check_model_type(A_    )
    def __call__(		self							:     List[Any]	,      A_							:     Union[str, List[str], "Image.Image", List["Image.Image"]]	,      **A_							:     int    )    ->       List[Any]:
         return super().__call__(A_	,      **A_    )
    def  lowercase					(		self							:     int	,      **A_							:     str    )    ->       Tuple:
         return {}, {}, {}
    def  lowercase					(		self							:     Any	,      A_							:     Dict    )    ->       Dict:
         __snake_case				=							load_image(A_    )
         __snake_case				=							image.size
         __snake_case				=							self.image_processor(images=A_	,      return_tensors=self.framework    )
         return model_inputs
    def  lowercase					(		self							:     Tuple	,      A_							:     Optional[int]    )    ->       str:
         __snake_case				=							self.model(**A_    )
         return model_outputs







    def  lowercase					(		self							:     Tuple	,      A_							:     Dict    )    ->       Any:
         __snake_case				=							model_outputs.predicted_depth
         __snake_case				=							torch.nn.functional.interpolate(
             predicted_depth.unsqueeze(1    )	,      size=self.image_size[::-1]	,      mode='''bicubic'''	,      align_corners=A_    )
         __snake_case				=							prediction.squeeze().cpu().numpy()
         __snake_case				=							(output * 255 / np.max(A_    )).astype('''uint8'''    )
         __snake_case				=							Image.fromarray(A_    )
         __snake_case				=							{}
         __snake_case				=							predicted_depth
         __snake_case				=							depth
         return output_dict
"""simple docstring"""



import re





def    SCREAMING_SNAKE_CASE       (     snake_case):
     return [char.split() for char in re.split(R'''[^ a-z A-Z 0-9 \s]''',      str_)]





def    SCREAMING_SNAKE_CASE       (     snake_case):
     __snake_case				=							split_input(str_)
     return "".join(
         [''''''.join([char.capitalize() for char in sub_str]) for sub_str in string_split])





def    SCREAMING_SNAKE_CASE       (     snake_case,      snake_case,      snake_case):
     try:
          __snake_case				=							split_input(snake_case)
          if upper:
               __snake_case				=							''''''.join(
                   [
                       separator.join([char.upper() for char in sub_str])
                       for sub_str in string_split
                   ])
          else:
               __snake_case				=							''''''.join(
                   [
                       separator.join([char.lower() for char in sub_str])
                       for sub_str in string_split
                   ])
          return res_str
     except IndexError:
          return "not valid string"





def    SCREAMING_SNAKE_CASE       (     snake_case):
     return to_simple_case(snake_case)





def    SCREAMING_SNAKE_CASE       (     snake_case):
     try:
          __snake_case				=							to_simple_case(snake_case)
          return res_str[0].lower() + res_str[1:]
     except IndexError:
          return "not valid string"





def    SCREAMING_SNAKE_CASE       (     snake_case,      snake_case):
     return to_complex_case(snake_case,      snake_case,      '''_''')





def    SCREAMING_SNAKE_CASE       (     snake_case,      snake_case):
     return to_complex_case(snake_case,      snake_case,      '''-''')


if __name__ == "__main__":
       __import__("doctest").testmod()