





from typing import Dict, List, Optional, Union

import numpy as np

from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import convert_to_rgb, normalize, rescale, resize, to_channel_dimension_format
from ...image_utils import (
    OPENAI_CLIP_MEAN,
    OPENAI_CLIP_STD,
    ChannelDimension,
    ImageInput,
    PILImageResampling,
    make_list_of_images,
    to_numpy_array,
    valid_images,
)
from ...utils import TensorType, is_vision_available, logging


if is_vision_available():
  import PIL


SCREAMING_SNAKE_CASE__							:      List[str]         =    logging.get_logger(__name__)







class 	__lowerCAmelCase      (       _UpperCamelCase	):
   _UpperCamelCase			:    int  		=					["""pixel_values"""]





   def __init__(			self       ,      snake_case = True       ,      snake_case = None       ,      snake_case = PILImageResampling.BICUBIC       ,      snake_case = True       ,      snake_case = 1 / 255       ,      snake_case = True       ,      snake_case = None       ,      snake_case = None       ,      snake_case = True       ,      **snake_case       ,      )					->	None:
      """simple docstring"""





      super().__init__(**snake_case   )
      a__						:    List[str]   		=	size if size is not None else {"height": 384, "width": 384}
      a__						:    List[str]   		=	get_size_dict(snake_case       ,      default_to_square=snake_case   )

      a__						:    Any   		=	do_resize
      a__						:    Optional[int]   		=	size
      a__						:    int   		=	resample
      a__						:    Optional[Any]   		=	do_rescale
      a__						:    Dict   		=	rescale_factor
      a__						:    Dict   		=	do_normalize
      a__						:    Any   		=	image_mean if image_mean is not None else OPENAI_CLIP_MEAN
      a__						:    List[str]   		=	image_std if image_std is not None else OPENAI_CLIP_STD
      a__						:    str   		=	do_convert_rgb





   def 						_snake_case			(			self       ,      snake_case       ,      snake_case       ,      snake_case = PILImageResampling.BICUBIC       ,      snake_case = None       ,      **snake_case       ,      )					->	np.ndarray:
      """simple docstring"""





      a__						:    Optional[int]   		=	get_size_dict(snake_case       ,      default_to_square=snake_case   )
      if "height" not in size or "width" not in size:
         raise ValueError(F"""The `size` dictionary must contain the keys `height` and `width`. Got {size.keys()}"""   )
      a__						:    Optional[int]   		=	(size["height"], size["width"])
      return resize(snake_case       ,      size=snake_case       ,      resample=snake_case       ,      data_format=snake_case       ,      **snake_case   )





   def 						_snake_case			(			self       ,      snake_case       ,      snake_case       ,      snake_case = None       ,      **snake_case       ,      )					->	List[str]:
      """simple docstring"""





      return rescale(snake_case       ,      scale=snake_case       ,      data_format=snake_case       ,      **snake_case   )





   def 						_snake_case			(			self       ,      snake_case       ,      snake_case       ,      snake_case       ,      snake_case = None       ,      **snake_case       ,      )					->	np.ndarray:
      """simple docstring"""





      return normalize(snake_case       ,      mean=snake_case       ,      std=snake_case       ,      data_format=snake_case       ,      **snake_case   )





   def 						_snake_case			(			self       ,      snake_case       ,      snake_case = None       ,      snake_case = None       ,      snake_case = None       ,      snake_case = None       ,      snake_case = None       ,      snake_case = None       ,      snake_case = None       ,      snake_case = None       ,      snake_case = None       ,      snake_case = None       ,      snake_case = ChannelDimension.FIRST       ,      **snake_case       ,      )					->	PIL.Image.Image:
      """simple docstring"""





      a__						:    List[str]   		=	do_resize if do_resize is not None else self.do_resize
      a__						:    Optional[Any]   		=	resample if resample is not None else self.resample
      a__						:    int   		=	do_rescale if do_rescale is not None else self.do_rescale
      a__						:    int   		=	rescale_factor if rescale_factor is not None else self.rescale_factor
      a__						:    Union[str, Any]   		=	do_normalize if do_normalize is not None else self.do_normalize
      a__						:    List[Any]   		=	image_mean if image_mean is not None else self.image_mean
      a__						:    int   		=	image_std if image_std is not None else self.image_std
      a__						:    Tuple   		=	do_convert_rgb if do_convert_rgb is not None else self.do_convert_rgb

      a__						:    Tuple   		=	size if size is not None else self.size
      a__						:    Any   		=	get_size_dict(snake_case       ,      default_to_square=snake_case   )

      a__						:    str   		=	make_list_of_images(snake_case   )

      if not valid_images(snake_case   ):
         raise ValueError(
             "Invalid image type. Must be of type PIL.Image.Image, numpy.ndarray, "
             "torch.Tensor, tf.Tensor or jax.ndarray."   )

      if do_resize and size is None or resample is None:
         raise ValueError("Size and resample must be specified if do_resize is True."   )

      if do_rescale and rescale_factor is None:
         raise ValueError("Rescale factor must be specified if do_rescale is True."   )

      if do_normalize and (image_mean is None or image_std is None):
         raise ValueError("Image mean and std must be specified if do_normalize is True."   )

      # PIL RGBA images are converted to RGB
      if do_convert_rgb:
         a__						:    List[str]   		=	[convert_to_rgb(snake_case   ) for image in images]

      # All transformations expect numpy arrays.
      a__						:    Dict   		=	[to_numpy_array(snake_case   ) for image in images]

      if do_resize:
         a__						:    Union[str, Any]   		=	[self.resize(image=snake_case       ,      size=snake_case       ,      resample=snake_case   ) for image in images]

      if do_rescale:
         a__						:    Tuple   		=	[self.rescale(image=snake_case       ,      scale=snake_case   ) for image in images]

      if do_normalize:
         a__						:    List[str]   		=	[self.normalize(image=snake_case       ,      mean=snake_case       ,      std=snake_case   ) for image in images]

      a__						:    Union[str, Any]   		=	[to_channel_dimension_format(snake_case       ,      snake_case   ) for image in images]

      a__						:    List[Any]   		=	BatchFeature(data={"pixel_values": images}       ,      tensor_type=snake_case   )

      return encoded_outputs








import os
import string
import sys


SCREAMING_SNAKE_CASE__							:      int         =    1 << 8

SCREAMING_SNAKE_CASE__							:      List[str]         =    {
    """tab""": ord("""\t"""),
    """newline""": ord("""\r"""),
    """esc""": 2_7,
    """up""": 6_5 + ARROW_KEY_FLAG,
    """down""": 6_6 + ARROW_KEY_FLAG,
    """right""": 6_7 + ARROW_KEY_FLAG,
    """left""": 6_8 + ARROW_KEY_FLAG,
    """mod_int""": 9_1,
    """undefined""": sys.maxsize,
    """interrupt""": 3,
    """insert""": 5_0,
    """delete""": 5_1,
    """pg_up""": 5_3,
    """pg_down""": 5_4,
}

SCREAMING_SNAKE_CASE__							:      Any         =    KEYMAP["""up"""]
SCREAMING_SNAKE_CASE__							:      Tuple         =    KEYMAP["""left"""]

if sys.platform == "win32":
  SCREAMING_SNAKE_CASE__							:      Optional[Any]         =    []
  SCREAMING_SNAKE_CASE__							:      Dict         =    {
      B"""\xe0H""": KEYMAP["""up"""] - ARROW_KEY_FLAG,
      B"""\x00H""": KEYMAP["""up"""] - ARROW_KEY_FLAG,
      B"""\xe0P""": KEYMAP["""down"""] - ARROW_KEY_FLAG,
      B"""\x00P""": KEYMAP["""down"""] - ARROW_KEY_FLAG,
      B"""\xe0M""": KEYMAP["""right"""] - ARROW_KEY_FLAG,
      B"""\x00M""": KEYMAP["""right"""] - ARROW_KEY_FLAG,
      B"""\xe0K""": KEYMAP["""left"""] - ARROW_KEY_FLAG,
      B"""\x00K""": KEYMAP["""left"""] - ARROW_KEY_FLAG,
  }

for i in range(1_0):
  SCREAMING_SNAKE_CASE__							:      Dict         =    ord(str(i))






def    _A	(   ):
   if os.name == "nt":
      import msvcrt

      a__						:    int   		=	"mbcs"
      # Flush the keyboard buffer
      while msvcrt.kbhit():
         msvcrt.getch()
      if len(lowerCamelCase ) == 0:
         # Read the keystroke
         a__						:    int   		=	msvcrt.getch()

         # If it is a prefix char, get second part
         if ch in (b"\x00", b"\xe0"):
            a__						:    Union[str, Any]   		=	ch + msvcrt.getch()
            # Translate actual Win chars to bullet char types
            try:
               a__						:    Optional[int]   		=	chr(WIN_KEYMAP[cha] )
               WIN_CH_BUFFER.append(chr(KEYMAP["mod_int"] ) )
               WIN_CH_BUFFER.append(lowerCamelCase )
               if ord(lowerCamelCase ) in (
                   KEYMAP["insert"] - 1 << 9,
                   KEYMAP["delete"] - 1 << 9,
                   KEYMAP["pg_up"] - 1 << 9,
                   KEYMAP["pg_down"] - 1 << 9,
               ):
                  WIN_CH_BUFFER.append(chr(126 ) )
               a__						:    int   		=	chr(KEYMAP["esc"] )
            except KeyError:
               a__						:    Dict   		=	cha[1]
         else:
            a__						:    Union[str, Any]   		=	ch.decode(lowerCamelCase )
      else:
         a__						:    Optional[int]   		=	WIN_CH_BUFFER.pop(0 )
   elif os.name == "posix":
      import termios
      import tty

      a__						:    Tuple   		=	sys.stdin.fileno()
      a__						:    int   		=	termios.tcgetattr(lowerCamelCase )
      try:
         tty.setraw(lowerCamelCase )
         a__						:    Tuple   		=	sys.stdin.read(1 )
      finally:
         termios.tcsetattr(lowerCamelCase				,			termios.TCSADRAIN				,			lowerCamelCase )
   return ch






def    _A	(   ):
   a__						:    str   		=	get_raw_chars()
   if ord(lowerCamelCase ) in [KEYMAP["interrupt"], KEYMAP["newline"]]:
      return char

   elif ord(lowerCamelCase ) == KEYMAP["esc"]:
      a__						:    Tuple   		=	get_raw_chars()
      if ord(lowerCamelCase ) == KEYMAP["mod_int"]:
         a__						:    List[Any]   		=	get_raw_chars()
         if ord(lowerCamelCase ) >= KEYMAP["arrow_begin"] - ARROW_KEY_FLAG and ord(lowerCamelCase ) <= KEYMAP["arrow_end"] - ARROW_KEY_FLAG:
            return chr(ord(lowerCamelCase ) + ARROW_KEY_FLAG )
         else:
            return KEYMAP["undefined"]
      else:
         return get_raw_chars()

   else:
      if char in string.printable:
         return char
      else:
         return KEYMAP["undefined"]

