
from collections import deque
from math import floor
from random import random
from time import time


class 						lowercase__	:






   '''simple docstring'''







   def __init__(			self   ):

      '''simple docstring'''







      UpperCamelCase       =  {}







   def       UpperCAmelCase				(			self ,   lowerCamelCase__ ,   lowerCamelCase__ ,   lowerCamelCase__=1   ):

      '''simple docstring'''







      if self.graph.get(lowerCamelCase__   ):
         if self.graph[u].count([w, v]   ) == 0:
            self.graph[u].append([w, v]   )
      else:
         UpperCamelCase       =  [[w, v]]
      if not self.graph.get(lowerCamelCase__   ):
         UpperCamelCase       =  []







   def       UpperCAmelCase				(			self   ):

      '''simple docstring'''







      return list(self.graph   )







   def       UpperCAmelCase				(			self ,   lowerCamelCase__ ,   lowerCamelCase__   ):

      '''simple docstring'''







      if self.graph.get(lowerCamelCase__   ):
         for _ in self.graph[u]:
            if _[1] == v:
               self.graph[u].remove(lowerCamelCase__   )







   def       UpperCAmelCase				(			self ,   lowerCamelCase__=-2 ,   lowerCamelCase__=-1   ):

      '''simple docstring'''







      if s == d:
         return []
      UpperCamelCase       =  []
      UpperCamelCase       =  []
      if s == -2:
         UpperCamelCase       =  list(self.graph   )[0]
      stack.append(lowerCamelCase__   )
      visited.append(lowerCamelCase__   )
      UpperCamelCase       =  s

      while True:
         # check if there is any non isolated nodes
         if len(self.graph[s]   ) != 0:
            UpperCamelCase       =  s
            for node in self.graph[s]:
               if visited.count(node[1]   ) < 1:
                  if node[1] == d:
                     visited.append(lowerCamelCase__   )
                     return visited
                  else:
                     stack.append(node[1]   )
                     visited.append(node[1]   )
                     UpperCamelCase       =  node[1]
                     break

            # check if all the children are visited
         if s == ss:
            stack.pop()
            if len(lowerCamelCase__   ) != 0:
               UpperCamelCase       =  stack[len(lowerCamelCase__   ) - 1]
         else:
            UpperCamelCase       =  ss

         # check if se have reached the starting point
         if len(lowerCamelCase__   ) == 0:
            return visited







   def       UpperCAmelCase				(			self ,   lowerCamelCase__=-1   ):

      '''simple docstring'''







      if c == -1:
         UpperCamelCase       =  floor(random() * 1_0_0_0_0   ) + 1_0
      for i in range(lowerCamelCase__   ):
         # every vertex has max 100 edges
         for _ in range(floor(random() * 1_0_2   ) + 1   ):
            UpperCamelCase       =  floor(random() * c   ) + 1
            if n != i:
               self.add_pair(lowerCamelCase__ ,   lowerCamelCase__ ,   1   )







   def       UpperCAmelCase				(			self ,   lowerCamelCase__=-2   ):

      '''simple docstring'''







      UpperCamelCase       =  deque()
      UpperCamelCase       =  []
      if s == -2:
         UpperCamelCase       =  list(self.graph   )[0]
      d.append(lowerCamelCase__   )
      visited.append(lowerCamelCase__   )
      while d:
         UpperCamelCase       =  d.popleft()
         if len(self.graph[s]   ) != 0:
            for node in self.graph[s]:
               if visited.count(node[1]   ) < 1:
                  d.append(node[1]   )
                  visited.append(node[1]   )
      return visited







   def       UpperCAmelCase				(			self ,   lowerCamelCase__   ):

      '''simple docstring'''







      UpperCamelCase       =  0
      for x in self.graph:
         for y in self.graph[x]:
            if y[1] == u:
               count += 1
      return count







   def       UpperCAmelCase				(			self ,   lowerCamelCase__   ):

      '''simple docstring'''







      return len(self.graph[u]   )







   def       UpperCAmelCase				(			self ,   lowerCamelCase__=-2   ):

      '''simple docstring'''







      UpperCamelCase       =  []
      UpperCamelCase       =  []
      if s == -2:
         UpperCamelCase       =  list(self.graph   )[0]
      stack.append(lowerCamelCase__   )
      visited.append(lowerCamelCase__   )
      UpperCamelCase       =  s
      UpperCamelCase       =  []

      while True:
         # check if there is any non isolated nodes
         if len(self.graph[s]   ) != 0:
            UpperCamelCase       =  s
            for node in self.graph[s]:
               if visited.count(node[1]   ) < 1:
                  stack.append(node[1]   )
                  visited.append(node[1]   )
                  UpperCamelCase       =  node[1]
                  break

            # check if all the children are visited
         if s == ss:
            sorted_nodes.append(stack.pop()   )
            if len(lowerCamelCase__   ) != 0:
               UpperCamelCase       =  stack[len(lowerCamelCase__   ) - 1]
         else:
            UpperCamelCase       =  ss

         # check if se have reached the starting point
         if len(lowerCamelCase__   ) == 0:
            return sorted_nodes







   def       UpperCAmelCase				(			self   ):

      '''simple docstring'''







      UpperCamelCase       =  []
      UpperCamelCase       =  []
      UpperCamelCase       =  list(self.graph   )[0]
      stack.append(lowerCamelCase__   )
      visited.append(lowerCamelCase__   )
      UpperCamelCase       =  -2
      UpperCamelCase       =  []
      UpperCamelCase       =  s
      UpperCamelCase       =  False
      UpperCamelCase       =  set()

      while True:
         # check if there is any non isolated nodes
         if len(self.graph[s]   ) != 0:
            UpperCamelCase       =  s
            for node in self.graph[s]:
               if (
                   visited.count(node[1]   ) > 0
                   and node[1] != parent
                   and indirect_parents.count(node[1]   ) > 0
                   and not on_the_way_back
               ):
                  UpperCamelCase       =  len(lowerCamelCase__   ) - 1
                  while len_stack >= 0:
                     if stack[len_stack] == node[1]:
                        anticipating_nodes.add(node[1]   )
                        break
                     else:
                        anticipating_nodes.add(stack[len_stack]   )
                        len_stack -= 1
               if visited.count(node[1]   ) < 1:
                  stack.append(node[1]   )
                  visited.append(node[1]   )
                  UpperCamelCase       =  node[1]
                  break

            # check if all the children are visited
         if s == ss:
            stack.pop()
            UpperCamelCase       =  True
            if len(lowerCamelCase__   ) != 0:
               UpperCamelCase       =  stack[len(lowerCamelCase__   ) - 1]
         else:
            UpperCamelCase       =  False
            indirect_parents.append(lowerCamelCase__   )
            UpperCamelCase       =  s
            UpperCamelCase       =  ss

         # check if se have reached the starting point
         if len(lowerCamelCase__   ) == 0:
            return list(lowerCamelCase__   )







   def       UpperCAmelCase				(			self   ):

      '''simple docstring'''







      UpperCamelCase       =  []
      UpperCamelCase       =  []
      UpperCamelCase       =  list(self.graph   )[0]
      stack.append(lowerCamelCase__   )
      visited.append(lowerCamelCase__   )
      UpperCamelCase       =  -2
      UpperCamelCase       =  []
      UpperCamelCase       =  s
      UpperCamelCase       =  False
      UpperCamelCase       =  set()

      while True:
         # check if there is any non isolated nodes
         if len(self.graph[s]   ) != 0:
            UpperCamelCase       =  s
            for node in self.graph[s]:
               if (
                   visited.count(node[1]   ) > 0
                   and node[1] != parent
                   and indirect_parents.count(node[1]   ) > 0
                   and not on_the_way_back
               ):
                  UpperCamelCase       =  len(lowerCamelCase__   ) - 1
                  while len_stack_minus_one >= 0:
                     if stack[len_stack_minus_one] == node[1]:
                        anticipating_nodes.add(node[1]   )
                        break
                     else:
                        return True
               if visited.count(node[1]   ) < 1:
                  stack.append(node[1]   )
                  visited.append(node[1]   )
                  UpperCamelCase       =  node[1]
                  break

            # check if all the children are visited
         if s == ss:
            stack.pop()
            UpperCamelCase       =  True
            if len(lowerCamelCase__   ) != 0:
               UpperCamelCase       =  stack[len(lowerCamelCase__   ) - 1]
         else:
            UpperCamelCase       =  False
            indirect_parents.append(lowerCamelCase__   )
            UpperCamelCase       =  s
            UpperCamelCase       =  ss

         # check if se have reached the starting point
         if len(lowerCamelCase__   ) == 0:
            return False







   def       UpperCAmelCase				(			self ,   lowerCamelCase__=-2 ,   lowerCamelCase__=-1   ):

      '''simple docstring'''







      UpperCamelCase       =  time()
      self.dfs(lowerCamelCase__ ,   lowerCamelCase__   )
      UpperCamelCase       =  time()
      return end - begin







   def       UpperCAmelCase				(			self ,   lowerCamelCase__=-2   ):

      '''simple docstring'''







      UpperCamelCase       =  time()
      self.bfs(lowerCamelCase__   )
      UpperCamelCase       =  time()
      return end - begin




class 						lowercase__	:






   '''simple docstring'''







   def __init__(			self   ):

      '''simple docstring'''







      UpperCamelCase       =  {}







   def       UpperCAmelCase				(			self ,   lowerCamelCase__ ,   lowerCamelCase__ ,   lowerCamelCase__=1   ):

      '''simple docstring'''







      if self.graph.get(lowerCamelCase__   ):
         # if there already is a edge
         if self.graph[u].count([w, v]   ) == 0:
            self.graph[u].append([w, v]   )
      else:
         # if u does not exist
         UpperCamelCase       =  [[w, v]]
      # add the other way
      if self.graph.get(lowerCamelCase__   ):
         # if there already is a edge
         if self.graph[v].count([w, u]   ) == 0:
            self.graph[v].append([w, u]   )
      else:
         # if u does not exist
         UpperCamelCase       =  [[w, u]]







   def       UpperCAmelCase				(			self ,   lowerCamelCase__ ,   lowerCamelCase__   ):

      '''simple docstring'''







      if self.graph.get(lowerCamelCase__   ):
         for _ in self.graph[u]:
            if _[1] == v:
               self.graph[u].remove(lowerCamelCase__   )
        # the other way round
      if self.graph.get(lowerCamelCase__   ):
         for _ in self.graph[v]:
            if _[1] == u:
               self.graph[v].remove(lowerCamelCase__   )







   def       UpperCAmelCase				(			self ,   lowerCamelCase__=-2 ,   lowerCamelCase__=-1   ):

      '''simple docstring'''







      if s == d:
         return []
      UpperCamelCase       =  []
      UpperCamelCase       =  []
      if s == -2:
         UpperCamelCase       =  list(self.graph   )[0]
      stack.append(lowerCamelCase__   )
      visited.append(lowerCamelCase__   )
      UpperCamelCase       =  s

      while True:
         # check if there is any non isolated nodes
         if len(self.graph[s]   ) != 0:
            UpperCamelCase       =  s
            for node in self.graph[s]:
               if visited.count(node[1]   ) < 1:
                  if node[1] == d:
                     visited.append(lowerCamelCase__   )
                     return visited
                  else:
                     stack.append(node[1]   )
                     visited.append(node[1]   )
                     UpperCamelCase       =  node[1]
                     break

            # check if all the children are visited
         if s == ss:
            stack.pop()
            if len(lowerCamelCase__   ) != 0:
               UpperCamelCase       =  stack[len(lowerCamelCase__   ) - 1]
         else:
            UpperCamelCase       =  ss

         # check if se have reached the starting point
         if len(lowerCamelCase__   ) == 0:
            return visited







   def       UpperCAmelCase				(			self ,   lowerCamelCase__=-1   ):

      '''simple docstring'''







      if c == -1:
         UpperCamelCase       =  floor(random() * 1_0_0_0_0   ) + 1_0
      for i in range(lowerCamelCase__   ):
         # every vertex has max 100 edges
         for _ in range(floor(random() * 1_0_2   ) + 1   ):
            UpperCamelCase       =  floor(random() * c   ) + 1
            if n != i:
               self.add_pair(lowerCamelCase__ ,   lowerCamelCase__ ,   1   )







   def       UpperCAmelCase				(			self ,   lowerCamelCase__=-2   ):

      '''simple docstring'''







      UpperCamelCase       =  deque()
      UpperCamelCase       =  []
      if s == -2:
         UpperCamelCase       =  list(self.graph   )[0]
      d.append(lowerCamelCase__   )
      visited.append(lowerCamelCase__   )
      while d:
         UpperCamelCase       =  d.popleft()
         if len(self.graph[s]   ) != 0:
            for node in self.graph[s]:
               if visited.count(node[1]   ) < 1:
                  d.append(node[1]   )
                  visited.append(node[1]   )
      return visited







   def       UpperCAmelCase				(			self ,   lowerCamelCase__   ):

      '''simple docstring'''







      return len(self.graph[u]   )







   def       UpperCAmelCase				(			self   ):

      '''simple docstring'''







      UpperCamelCase       =  []
      UpperCamelCase       =  []
      UpperCamelCase       =  list(self.graph   )[0]
      stack.append(lowerCamelCase__   )
      visited.append(lowerCamelCase__   )
      UpperCamelCase       =  -2
      UpperCamelCase       =  []
      UpperCamelCase       =  s
      UpperCamelCase       =  False
      UpperCamelCase       =  set()

      while True:
         # check if there is any non isolated nodes
         if len(self.graph[s]   ) != 0:
            UpperCamelCase       =  s
            for node in self.graph[s]:
               if (
                   visited.count(node[1]   ) > 0
                   and node[1] != parent
                   and indirect_parents.count(node[1]   ) > 0
                   and not on_the_way_back
               ):
                  UpperCamelCase       =  len(lowerCamelCase__   ) - 1
                  while len_stack >= 0:
                     if stack[len_stack] == node[1]:
                        anticipating_nodes.add(node[1]   )
                        break
                     else:
                        anticipating_nodes.add(stack[len_stack]   )
                        len_stack -= 1
               if visited.count(node[1]   ) < 1:
                  stack.append(node[1]   )
                  visited.append(node[1]   )
                  UpperCamelCase       =  node[1]
                  break

            # check if all the children are visited
         if s == ss:
            stack.pop()
            UpperCamelCase       =  True
            if len(lowerCamelCase__   ) != 0:
               UpperCamelCase       =  stack[len(lowerCamelCase__   ) - 1]
         else:
            UpperCamelCase       =  False
            indirect_parents.append(lowerCamelCase__   )
            UpperCamelCase       =  s
            UpperCamelCase       =  ss

         # check if se have reached the starting point
         if len(lowerCamelCase__   ) == 0:
            return list(lowerCamelCase__   )







   def       UpperCAmelCase				(			self   ):

      '''simple docstring'''







      UpperCamelCase       =  []
      UpperCamelCase       =  []
      UpperCamelCase       =  list(self.graph   )[0]
      stack.append(lowerCamelCase__   )
      visited.append(lowerCamelCase__   )
      UpperCamelCase       =  -2
      UpperCamelCase       =  []
      UpperCamelCase       =  s
      UpperCamelCase       =  False
      UpperCamelCase       =  set()

      while True:
         # check if there is any non isolated nodes
         if len(self.graph[s]   ) != 0:
            UpperCamelCase       =  s
            for node in self.graph[s]:
               if (
                   visited.count(node[1]   ) > 0
                   and node[1] != parent
                   and indirect_parents.count(node[1]   ) > 0
                   and not on_the_way_back
               ):
                  UpperCamelCase       =  len(lowerCamelCase__   ) - 1
                  while len_stack_minus_one >= 0:
                     if stack[len_stack_minus_one] == node[1]:
                        anticipating_nodes.add(node[1]   )
                        break
                     else:
                        return True
               if visited.count(node[1]   ) < 1:
                  stack.append(node[1]   )
                  visited.append(node[1]   )
                  UpperCamelCase       =  node[1]
                  break

            # check if all the children are visited
         if s == ss:
            stack.pop()
            UpperCamelCase       =  True
            if len(lowerCamelCase__   ) != 0:
               UpperCamelCase       =  stack[len(lowerCamelCase__   ) - 1]
         else:
            UpperCamelCase       =  False
            indirect_parents.append(lowerCamelCase__   )
            UpperCamelCase       =  s
            UpperCamelCase       =  ss

         # check if se have reached the starting point
         if len(lowerCamelCase__   ) == 0:
            return False







   def       UpperCAmelCase				(			self   ):

      '''simple docstring'''







      return list(self.graph   )







   def       UpperCAmelCase				(			self ,   lowerCamelCase__=-2 ,   lowerCamelCase__=-1   ):

      '''simple docstring'''







      UpperCamelCase       =  time()
      self.dfs(lowerCamelCase__ ,   lowerCamelCase__   )
      UpperCamelCase       =  time()
      return end - begin







   def       UpperCAmelCase				(			self ,   lowerCamelCase__=-2   ):

      '''simple docstring'''







      UpperCamelCase       =  time()
      self.bfs(lowerCamelCase__   )
      UpperCamelCase       =  time()
      return end - begin







'''simple docstring'''


from typing import Dict, Iterable, Optional, Union

import numpy as np

from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import normalize, rescale, resize, to_channel_dimension_format, to_pil_image
from ...image_utils import (
    IMAGENET_STANDARD_MEAN,
    IMAGENET_STANDARD_STD,
    ChannelDimension,
    ImageInput,
    PILImageResampling,
    make_list_of_images,
    to_numpy_array,
    valid_images,
)
from ...utils import TensorType, is_pytesseract_available, is_vision_available, logging, requires_backends


if is_vision_available():
   import PIL

# soft dependency
if is_pytesseract_available():
   import pytesseract

snake_case_ :  Tuple     =					logging.get_logger(__name__)



def  __snake_case     (    _UpperCAmelCase					:       str,      _UpperCAmelCase					:       int,      _UpperCAmelCase					:       Optional[int]):
   return [
       int(1000 * (box[0] / width)),
       int(1000 * (box[1] / height)),
       int(1000 * (box[2] / width)),
       int(1000 * (box[3] / height)),
   ]



def  __snake_case     (    _UpperCAmelCase					:       np.ndarray,      _UpperCAmelCase					:       Optional[str],      _UpperCAmelCase					:       Optional[str]):
   UpperCamelCase       =  to_pil_image(_UpperCAmelCase)
   UpperCamelCase     , UpperCamelCase       =  pil_image.size
   UpperCamelCase       =  pytesseract.image_to_data(_UpperCAmelCase,      lang=_UpperCAmelCase,      output_type='''dict''',      config=_UpperCAmelCase)
   UpperCamelCase     , UpperCamelCase     , UpperCamelCase     , UpperCamelCase     , UpperCamelCase       =  data['''text'''], data['''left'''], data['''top'''], data['''width'''], data['''height''']

   # filter empty words and corresponding coordinates
   UpperCamelCase       =  [idx for idx, word in enumerate(_UpperCAmelCase) if not word.strip()]
   UpperCamelCase       =  [word for idx, word in enumerate(_UpperCAmelCase) if idx not in irrelevant_indices]
   UpperCamelCase       =  [coord for idx, coord in enumerate(_UpperCAmelCase) if idx not in irrelevant_indices]
   UpperCamelCase       =  [coord for idx, coord in enumerate(_UpperCAmelCase) if idx not in irrelevant_indices]
   UpperCamelCase       =  [coord for idx, coord in enumerate(_UpperCAmelCase) if idx not in irrelevant_indices]
   UpperCamelCase       =  [coord for idx, coord in enumerate(_UpperCAmelCase) if idx not in irrelevant_indices]

   # turn coordinates into (left, top, left+width, top+height) format
   UpperCamelCase       =  []
   for x, y, w, h in zip(_UpperCAmelCase,      _UpperCAmelCase,      _UpperCAmelCase,      _UpperCAmelCase):
      UpperCamelCase       =  [x, y, x + w, y + h]
      actual_boxes.append(_UpperCAmelCase)

   # finally, normalize the bounding boxes
   UpperCamelCase       =  []
   for box in actual_boxes:
      normalized_boxes.append(normalize_box(_UpperCAmelCase,      _UpperCAmelCase,      _UpperCAmelCase))

   assert len(_UpperCAmelCase) == len(_UpperCAmelCase), "Not as many words as there are bounding boxes"

   return words, normalized_boxes


class 						lowercase__	(  snake_case_   ):






   '''simple docstring'''







   _snake_case		   =							['''pixel_values''']







   def __init__(			self ,   lowerCamelCase__ = True ,   lowerCamelCase__ = None ,   lowerCamelCase__ = PILImageResampling.BILINEAR ,   lowerCamelCase__ = True ,   lowerCamelCase__ = 1 / 2_5_5 ,   lowerCamelCase__ = True ,   lowerCamelCase__ = None ,   lowerCamelCase__ = None ,   lowerCamelCase__ = True ,   lowerCamelCase__ = None ,   lowerCamelCase__ = "" ,   **lowerCamelCase__ ,   ):

      '''simple docstring'''







      super().__init__(**lowerCamelCase__   )
      UpperCamelCase       =  size if size is not None else {'''height''': 2_2_4, '''width''': 2_2_4}
      UpperCamelCase       =  get_size_dict(lowerCamelCase__   )

      UpperCamelCase       =  do_resize
      UpperCamelCase       =  size
      UpperCamelCase       =  resample
      UpperCamelCase       =  do_rescale
      UpperCamelCase       =  rescale_value
      UpperCamelCase       =  do_normalize
      UpperCamelCase       =  image_mean if image_mean is not None else IMAGENET_STANDARD_MEAN
      UpperCamelCase       =  image_std if image_std is not None else IMAGENET_STANDARD_STD
      UpperCamelCase       =  apply_ocr
      UpperCamelCase       =  ocr_lang
      UpperCamelCase       =  tesseract_config







   def       UpperCAmelCase				(			self ,   lowerCamelCase__ ,   lowerCamelCase__ ,   lowerCamelCase__ = PILImageResampling.BILINEAR ,   lowerCamelCase__ = None ,   **lowerCamelCase__ ,   ):

      '''simple docstring'''







      UpperCamelCase       =  get_size_dict(lowerCamelCase__   )
      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()}'   )
      UpperCamelCase       =  (size['''height'''], size['''width'''])
      return resize(lowerCamelCase__ ,   size=lowerCamelCase__ ,   resample=lowerCamelCase__ ,   data_format=lowerCamelCase__ ,   **lowerCamelCase__   )







   def       UpperCAmelCase				(			self ,   lowerCamelCase__ ,   lowerCamelCase__ ,   lowerCamelCase__ = None ,   **lowerCamelCase__ ,   ):

      '''simple docstring'''







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







   def       UpperCAmelCase				(			self ,   lowerCamelCase__ ,   lowerCamelCase__ ,   lowerCamelCase__ ,   lowerCamelCase__ = None ,   **lowerCamelCase__ ,   ):

      '''simple docstring'''







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







   def       UpperCAmelCase				(			self ,   lowerCamelCase__ ,   lowerCamelCase__ = None ,   lowerCamelCase__ = None ,   lowerCamelCase__=None ,   lowerCamelCase__ = None ,   lowerCamelCase__ = None ,   lowerCamelCase__ = None ,   lowerCamelCase__ = None ,   lowerCamelCase__ = None ,   lowerCamelCase__ = None ,   lowerCamelCase__ = None ,   lowerCamelCase__ = None ,   lowerCamelCase__ = None ,   lowerCamelCase__ = ChannelDimension.FIRST ,   **lowerCamelCase__ ,   ):

      '''simple docstring'''







      UpperCamelCase       =  do_resize if do_resize is not None else self.do_resize
      UpperCamelCase       =  size if size is not None else self.size
      UpperCamelCase       =  get_size_dict(lowerCamelCase__   )
      UpperCamelCase       =  resample if resample is not None else self.resample
      UpperCamelCase       =  do_rescale if do_rescale is not None else self.do_rescale
      UpperCamelCase       =  rescale_factor if rescale_factor is not None else self.rescale_factor
      UpperCamelCase       =  do_normalize if do_normalize is not None else self.do_normalize
      UpperCamelCase       =  image_mean if image_mean is not None else self.image_mean
      UpperCamelCase       =  image_std if image_std is not None else self.image_std
      UpperCamelCase       =  apply_ocr if apply_ocr is not None else self.apply_ocr
      UpperCamelCase       =  ocr_lang if ocr_lang is not None else self.ocr_lang
      UpperCamelCase       =  tesseract_config if tesseract_config is not None else self.tesseract_config

      UpperCamelCase       =  make_list_of_images(lowerCamelCase__   )

      if not valid_images(lowerCamelCase__   ):
         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:
         raise ValueError('''Size 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('''If do_normalize is True, image_mean and image_std must be specified.'''   )

      # All transformations expect numpy arrays.
      UpperCamelCase       =  [to_numpy_array(lowerCamelCase__   ) for image in images]

      # Tesseract OCR to get words + normalized bounding boxes
      if apply_ocr:
         requires_backends(self ,   '''pytesseract'''   )
         UpperCamelCase       =  []
         UpperCamelCase       =  []
         for image in images:
            UpperCamelCase     , UpperCamelCase       =  apply_tesseract(lowerCamelCase__ ,   lowerCamelCase__ ,   lowerCamelCase__   )
            words_batch.append(lowerCamelCase__   )
            boxes_batch.append(lowerCamelCase__   )

      if do_resize:
         UpperCamelCase       =  [self.resize(image=lowerCamelCase__ ,   size=lowerCamelCase__ ,   resample=lowerCamelCase__   ) for image in images]

      if do_rescale:
         UpperCamelCase       =  [self.rescale(image=lowerCamelCase__ ,   scale=lowerCamelCase__   ) for image in images]

      if do_normalize:
         UpperCamelCase       =  [self.normalize(image=lowerCamelCase__ ,   mean=lowerCamelCase__ ,   std=lowerCamelCase__   ) for image in images]

      UpperCamelCase       =  [to_channel_dimension_format(lowerCamelCase__ ,   lowerCamelCase__   ) for image in images]

      UpperCamelCase       =  BatchFeature(data={'''pixel_values''': images} ,   tensor_type=lowerCamelCase__   )

      if apply_ocr:
         UpperCamelCase       =  words_batch
         UpperCamelCase       =  boxes_batch
      return data





