


"""simple docstring"""






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


class     __lowerCamelCase  :

     '''simple docstring'''


     def __init__(      self							)       ->							Tuple:
          _a    	=				{}


     def 							_UpperCAmelCase      (      self    ,				__UpperCAmelCase    ,				__UpperCAmelCase    ,				__UpperCAmelCase=1							)       ->							Optional[Any]:
          if self.graph.get(__UpperCAmelCase							):
               if self.graph[u].count([w, v]							) == 0:
                    self.graph[u].append([w, v]							)
          else:
               _a    	=				[[w, v]]
          if not self.graph.get(__UpperCAmelCase							):
               _a    	=				[]


     def 							_UpperCAmelCase      (      self							)       ->							Dict:
          return list(self.graph							)


     def 							_UpperCAmelCase      (      self    ,				__UpperCAmelCase    ,				__UpperCAmelCase							)       ->							Tuple:
          if self.graph.get(__UpperCAmelCase							):
               for _ in self.graph[u]:
                    if _[1] == v:
                         self.graph[u].remove(__UpperCAmelCase							)


     def 							_UpperCAmelCase      (      self    ,				__UpperCAmelCase=-2    ,				__UpperCAmelCase=-1							)       ->							Optional[int]:
          if s == d:
               return []
          _a    	=				[]
          _a    	=				[]
          if s == -2:
               _a    	=				list(self.graph							)[0]
          stack.append(__UpperCAmelCase							)
          visited.append(__UpperCAmelCase							)
          _a    	=				s

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

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

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


     def 							_UpperCAmelCase      (      self    ,				__UpperCAmelCase=-1							)       ->							List[Any]:
          if c == -1:
               _a    	=				floor(random() * 10000							) + 10
          for i in range(__UpperCAmelCase							):
               # every vertex has max 100 edges
               for _ in range(floor(random() * 102							) + 1							):
                    _a    	=				floor(random() * c							) + 1
                    if n != i:
                         self.add_pair(__UpperCAmelCase    ,				__UpperCAmelCase    ,				1							)


     def 							_UpperCAmelCase      (      self    ,				__UpperCAmelCase=-2							)       ->							List[str]:
          _a    	=				deque()
          _a    	=				[]
          if s == -2:
               _a    	=				list(self.graph							)[0]
          d.append(__UpperCAmelCase							)
          visited.append(__UpperCAmelCase							)
          while d:
               _a    	=				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    ,				__UpperCAmelCase							)       ->							Union[str, Any]:
          _a    	=				0
          for x in self.graph:
               for y in self.graph[x]:
                    if y[1] == u:
                         count += 1
          return count


     def 							_UpperCAmelCase      (      self    ,				__UpperCAmelCase							)       ->							Any:
          return len(self.graph[u]							)


     def 							_UpperCAmelCase      (      self    ,				__UpperCAmelCase=-2							)       ->							Union[str, Any]:
          _a    	=				[]
          _a    	=				[]
          if s == -2:
               _a    	=				list(self.graph							)[0]
          stack.append(__UpperCAmelCase							)
          visited.append(__UpperCAmelCase							)
          _a    	=				s
          _a    	=				[]

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

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

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


     def 							_UpperCAmelCase      (      self							)       ->							int:
          _a    	=				[]
          _a    	=				[]
          _a    	=				list(self.graph							)[0]
          stack.append(__UpperCAmelCase							)
          visited.append(__UpperCAmelCase							)
          _a    	=				-2
          _a    	=				[]
          _a    	=				s
          _a    	=				False
          _a    	=				set()

          while True:
               # check if there is any non isolated nodes
               if len(self.graph[s]							) != 0:
                    _a    	=				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
                         ):
                              _a    	=				len(__UpperCAmelCase							) - 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]							)
                              _a    	=				node[1]
                              break

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

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


     def 							_UpperCAmelCase      (      self							)       ->							Any:
          _a    	=				[]
          _a    	=				[]
          _a    	=				list(self.graph							)[0]
          stack.append(__UpperCAmelCase							)
          visited.append(__UpperCAmelCase							)
          _a    	=				-2
          _a    	=				[]
          _a    	=				s
          _a    	=				False
          _a    	=				set()

          while True:
               # check if there is any non isolated nodes
               if len(self.graph[s]							) != 0:
                    _a    	=				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
                         ):
                              _a    	=				len(__UpperCAmelCase							) - 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]							)
                              _a    	=				node[1]
                              break

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

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


     def 							_UpperCAmelCase      (      self    ,				__UpperCAmelCase=-2    ,				__UpperCAmelCase=-1							)       ->							Optional[int]:
          _a    	=				time()
          self.dfs(__UpperCAmelCase    ,				__UpperCAmelCase							)
          _a    	=				time()
          return end - begin





     def 							_UpperCAmelCase      (      self    ,				__UpperCAmelCase=-2							)       ->							List[Any]:
          _a    	=				time()
          self.bfs(__UpperCAmelCase							)
          _a    	=				time()
          return end - begin







class     __lowerCamelCase  :

     '''simple docstring'''


     def __init__(      self							)       ->							str:
          _a    	=				{}


     def 							_UpperCAmelCase      (      self    ,				__UpperCAmelCase    ,				__UpperCAmelCase    ,				__UpperCAmelCase=1							)       ->							Optional[Any]:
          # check if the u exists
          if self.graph.get(__UpperCAmelCase							):
               # 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
               _a    	=				[[w, v]]
          # add the other way
          if self.graph.get(__UpperCAmelCase							):
               # 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
               _a    	=				[[w, u]]


     def 							_UpperCAmelCase      (      self    ,				__UpperCAmelCase    ,				__UpperCAmelCase							)       ->							Optional[Any]:
          if self.graph.get(__UpperCAmelCase							):
               for _ in self.graph[u]:
                    if _[1] == v:
                         self.graph[u].remove(__UpperCAmelCase							)
        # the other way round
          if self.graph.get(__UpperCAmelCase							):
               for _ in self.graph[v]:
                    if _[1] == u:
                         self.graph[v].remove(__UpperCAmelCase							)


     def 							_UpperCAmelCase      (      self    ,				__UpperCAmelCase=-2    ,				__UpperCAmelCase=-1							)       ->							Optional[Any]:
          if s == d:
               return []
          _a    	=				[]
          _a    	=				[]
          if s == -2:
               _a    	=				list(self.graph							)[0]
          stack.append(__UpperCAmelCase							)
          visited.append(__UpperCAmelCase							)
          _a    	=				s

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

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

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


     def 							_UpperCAmelCase      (      self    ,				__UpperCAmelCase=-1							)       ->							Tuple:
          if c == -1:
               _a    	=				floor(random() * 10000							) + 10
          for i in range(__UpperCAmelCase							):
               # every vertex has max 100 edges
               for _ in range(floor(random() * 102							) + 1							):
                    _a    	=				floor(random() * c							) + 1
                    if n != i:
                         self.add_pair(__UpperCAmelCase    ,				__UpperCAmelCase    ,				1							)


     def 							_UpperCAmelCase      (      self    ,				__UpperCAmelCase=-2							)       ->							str:
          _a    	=				deque()
          _a    	=				[]
          if s == -2:
               _a    	=				list(self.graph							)[0]
          d.append(__UpperCAmelCase							)
          visited.append(__UpperCAmelCase							)
          while d:
               _a    	=				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    ,				__UpperCAmelCase							)       ->							Tuple:
          return len(self.graph[u]							)


     def 							_UpperCAmelCase      (      self							)       ->							int:
          _a    	=				[]
          _a    	=				[]
          _a    	=				list(self.graph							)[0]
          stack.append(__UpperCAmelCase							)
          visited.append(__UpperCAmelCase							)
          _a    	=				-2
          _a    	=				[]
          _a    	=				s
          _a    	=				False
          _a    	=				set()

          while True:
               # check if there is any non isolated nodes
               if len(self.graph[s]							) != 0:
                    _a    	=				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
                         ):
                              _a    	=				len(__UpperCAmelCase							) - 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]							)
                              _a    	=				node[1]
                              break

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

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


     def 							_UpperCAmelCase      (      self							)       ->							Tuple:
          _a    	=				[]
          _a    	=				[]
          _a    	=				list(self.graph							)[0]
          stack.append(__UpperCAmelCase							)
          visited.append(__UpperCAmelCase							)
          _a    	=				-2
          _a    	=				[]
          _a    	=				s
          _a    	=				False
          _a    	=				set()

          while True:
               # check if there is any non isolated nodes
               if len(self.graph[s]							) != 0:
                    _a    	=				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
                         ):
                              _a    	=				len(__UpperCAmelCase							) - 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]							)
                              _a    	=				node[1]
                              break

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

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


     def 							_UpperCAmelCase      (      self							)       ->							Dict:
          return list(self.graph							)


     def 							_UpperCAmelCase      (      self    ,				__UpperCAmelCase=-2    ,				__UpperCAmelCase=-1							)       ->							List[Any]:
          _a    	=				time()
          self.dfs(__UpperCAmelCase    ,				__UpperCAmelCase							)
          _a    	=				time()
          return end - begin





     def 							_UpperCAmelCase      (      self    ,				__UpperCAmelCase=-2							)       ->							Optional[int]:
          _a    	=				time()
          self.bfs(__UpperCAmelCase							)
          _a    	=				time()
          return end - begin



"""simple docstring"""






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


__snake_case		=       {
    '''configuration_pix2struct''': [
        '''PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''Pix2StructConfig''',
        '''Pix2StructTextConfig''',
        '''Pix2StructVisionConfig''',
    ],
    '''processing_pix2struct''': ['''Pix2StructProcessor'''],
}

try:
   if not is_vision_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   __snake_case		=       ['''Pix2StructImageProcessor''']


try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   __snake_case		=       [
       '''PIX2STRUCT_PRETRAINED_MODEL_ARCHIVE_LIST''',
       '''Pix2StructPreTrainedModel''',
       '''Pix2StructForConditionalGeneration''',
       '''Pix2StructVisionModel''',
       '''Pix2StructTextModel''',
   ]

if TYPE_CHECKING:
   from .configuration_pixastruct import (
       PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP,
       PixaStructConfig,
       PixaStructTextConfig,
       PixaStructVisionConfig,
   )
   from .processing_pixastruct import PixaStructProcessor

   try:
      if not is_vision_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .image_processing_pixastruct import PixaStructImageProcessor

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_pixastruct import (
          PIX2STRUCT_PRETRAINED_MODEL_ARCHIVE_LIST,
          PixaStructForConditionalGeneration,
          PixaStructPreTrainedModel,
          PixaStructTextModel,
          PixaStructVisionModel,
      )

else:
   import sys

   __snake_case		=       _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)