


'''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 :       Optional[Any] ):

        '''simple docstring'''




        A_						:  str          =				{}






  def        _a							(							self :       Union[str, Any]	,_a :       Optional[Any]	,_a :       Any	,_a :       Optional[int]=1 ):

        '''simple docstring'''




        if self.graph.get(lowerCamelCase_ ):
              if self.graph[u].count([w, v] ) == 0:
                    self.graph[u].append([w, v] )
        else:
              A_						:  str          =				[[w, v]]
        if not self.graph.get(lowerCamelCase_ ):
              A_						:  Tuple          =				[]






  def        _a							(							self :       Optional[Any] ):

        '''simple docstring'''




        return list(self.graph )






  def        _a							(							self :       Optional[int]	,_a :       Any	,_a :       str ):

        '''simple docstring'''




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






  def        _a							(							self :       List[str]	,_a :       Union[str, Any]=-2	,_a :       str=-1 ):

        '''simple docstring'''




        if s == d:
              return []
        A_						:  List[str]          =				[]
        A_						:  List[str]          =				[]
        if s == -2:
              A_						:  Tuple          =				list(self.graph )[0]
        stack.append(lowerCamelCase_ )
        visited.append(lowerCamelCase_ )
        A_						:  Any          =				s

        while True:
              # check if there is any non isolated nodes
              if len(self.graph[s] ) != 0:
                    A_						:  Optional[Any]          =				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] )
                                      A_						:  Tuple          =				node[1]
                                      break

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

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






  def        _a							(							self :       Dict	,_a :       Optional[int]=-1 ):

        '''simple docstring'''




        if c == -1:
              A_						:  str          =				floor(random() * 10000 ) + 10
        for i in range(lowerCamelCase_ ):
              # every vertex has max 100 edges
              for _ in range(floor(random() * 102 ) + 1 ):
                    A_						:  Union[str, Any]          =				floor(random() * c ) + 1
                    if n != i:
                          self.add_pair(lowerCamelCase_	,lowerCamelCase_	,1 )






  def        _a							(							self :       List[Any]	,_a :       Any=-2 ):

        '''simple docstring'''




        A_						:  str          =				deque()
        A_						:  List[str]          =				[]
        if s == -2:
              A_						:  int          =				list(self.graph )[0]
        d.append(lowerCamelCase_ )
        visited.append(lowerCamelCase_ )
        while d:
              A_						:  Dict          =				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        _a							(							self :       Dict	,_a :       Optional[Any] ):

        '''simple docstring'''




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






  def        _a							(							self :       Optional[Any]	,_a :       Tuple ):

        '''simple docstring'''




        return len(self.graph[u] )






  def        _a							(							self :       str	,_a :       Optional[Any]=-2 ):

        '''simple docstring'''




        A_						:  List[Any]          =				[]
        A_						:  List[str]          =				[]
        if s == -2:
              A_						:  Union[str, Any]          =				list(self.graph )[0]
        stack.append(lowerCamelCase_ )
        visited.append(lowerCamelCase_ )
        A_						:  Union[str, Any]          =				s
        A_						:  List[str]          =				[]

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

            # check if all the children are visited
              if s == ss:
                    sorted_nodes.append(stack.pop() )
                    if len(lowerCamelCase_ ) != 0:
                          A_						:  List[Any]          =				stack[len(lowerCamelCase_ ) - 1]
              else:
                    A_						:  int          =				ss

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






  def        _a							(							self :       Optional[int] ):

        '''simple docstring'''




        A_						:  List[Any]          =				[]
        A_						:  Any          =				[]
        A_						:  List[Any]          =				list(self.graph )[0]
        stack.append(lowerCamelCase_ )
        visited.append(lowerCamelCase_ )
        A_						:  Any          =				-2
        A_						:  int          =				[]
        A_						:  Union[str, Any]          =				s
        A_						:  Tuple          =				False
        A_						:  Union[str, Any]          =				set()

        while True:
              # check if there is any non isolated nodes
              if len(self.graph[s] ) != 0:
                    A_						:  Union[str, Any]          =				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_						:  Any          =				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] )
                                A_						:  int          =				node[1]
                                break

            # check if all the children are visited
              if s == ss:
                    stack.pop()
                    A_						:  int          =				True
                    if len(lowerCamelCase_ ) != 0:
                          A_						:  Any          =				stack[len(lowerCamelCase_ ) - 1]
              else:
                    A_						:  List[str]          =				False
                    indirect_parents.append(lowerCamelCase_ )
                    A_						:  List[Any]          =				s
                    A_						:  List[Any]          =				ss

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






  def        _a							(							self :       Dict ):

        '''simple docstring'''




        A_						:  Tuple          =				[]
        A_						:  int          =				[]
        A_						:  Any          =				list(self.graph )[0]
        stack.append(lowerCamelCase_ )
        visited.append(lowerCamelCase_ )
        A_						:  Union[str, Any]          =				-2
        A_						:  List[Any]          =				[]
        A_						:  Tuple          =				s
        A_						:  Dict          =				False
        A_						:  Optional[Any]          =				set()

        while True:
              # check if there is any non isolated nodes
              if len(self.graph[s] ) != 0:
                    A_						:  str          =				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_						:  str          =				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] )
                                A_						:  Optional[Any]          =				node[1]
                                break

            # check if all the children are visited
              if s == ss:
                    stack.pop()
                    A_						:  Dict          =				True
                    if len(lowerCamelCase_ ) != 0:
                          A_						:  List[str]          =				stack[len(lowerCamelCase_ ) - 1]
              else:
                    A_						:  List[Any]          =				False
                    indirect_parents.append(lowerCamelCase_ )
                    A_						:  Optional[int]          =				s
                    A_						:  Optional[int]          =				ss

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






  def        _a							(							self :       Any	,_a :       str=-2	,_a :       int=-1 ):

        '''simple docstring'''




        A_						:  Optional[Any]          =				time()
        self.dfs(lowerCamelCase_	,lowerCamelCase_ )
        A_						:  List[str]          =				time()
        return end - begin






  def        _a							(							self :       int	,_a :       Tuple=-2 ):

        '''simple docstring'''




        A_						:  Optional[int]          =				time()
        self.bfs(lowerCamelCase_ )
        A_						:  List[str]          =				time()
        return end - begin







class 	__lowerCAmelCase		:


  '''simple docstring'''







  def __init__(							self :       Optional[int] ):

        '''simple docstring'''




        A_						:  Tuple          =				{}






  def        _a							(							self :       List[str]	,_a :       Optional[Any]	,_a :       Dict	,_a :       Union[str, Any]=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
              A_						:  Any          =				[[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
              A_						:  Any          =				[[w, u]]






  def        _a							(							self :       Tuple	,_a :       Tuple	,_a :       Any ):

        '''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        _a							(							self :       int	,_a :       str=-2	,_a :       List[str]=-1 ):

        '''simple docstring'''




        if s == d:
              return []
        A_						:  List[str]          =				[]
        A_						:  Any          =				[]
        if s == -2:
              A_						:  List[Any]          =				list(self.graph )[0]
        stack.append(lowerCamelCase_ )
        visited.append(lowerCamelCase_ )
        A_						:  List[str]          =				s

        while True:
              # check if there is any non isolated nodes
              if len(self.graph[s] ) != 0:
                    A_						:  Union[str, Any]          =				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] )
                                      A_						:  Any          =				node[1]
                                      break

            # check if all the children are visited
              if s == ss:
                    stack.pop()
                    if len(lowerCamelCase_ ) != 0:
                          A_						:  Any          =				stack[len(lowerCamelCase_ ) - 1]
              else:
                    A_						:  List[str]          =				ss

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






  def        _a							(							self :       Any	,_a :       List[str]=-1 ):

        '''simple docstring'''




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






  def        _a							(							self :       List[str]	,_a :       List[Any]=-2 ):

        '''simple docstring'''




        A_						:  List[Any]          =				deque()
        A_						:  Tuple          =				[]
        if s == -2:
              A_						:  Any          =				list(self.graph )[0]
        d.append(lowerCamelCase_ )
        visited.append(lowerCamelCase_ )
        while d:
              A_						:  List[Any]          =				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        _a							(							self :       Tuple	,_a :       str ):

        '''simple docstring'''




        return len(self.graph[u] )






  def        _a							(							self :       List[str] ):

        '''simple docstring'''




        A_						:  List[str]          =				[]
        A_						:  Any          =				[]
        A_						:  Optional[Any]          =				list(self.graph )[0]
        stack.append(lowerCamelCase_ )
        visited.append(lowerCamelCase_ )
        A_						:  Optional[int]          =				-2
        A_						:  Tuple          =				[]
        A_						:  Any          =				s
        A_						:  Optional[Any]          =				False
        A_						:  Optional[Any]          =				set()

        while True:
              # check if there is any non isolated nodes
              if len(self.graph[s] ) != 0:
                    A_						:  Optional[Any]          =				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_						:  Optional[Any]          =				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] )
                                A_						:  str          =				node[1]
                                break

            # check if all the children are visited
              if s == ss:
                    stack.pop()
                    A_						:  Optional[int]          =				True
                    if len(lowerCamelCase_ ) != 0:
                          A_						:  int          =				stack[len(lowerCamelCase_ ) - 1]
              else:
                    A_						:  Union[str, Any]          =				False
                    indirect_parents.append(lowerCamelCase_ )
                    A_						:  List[str]          =				s
                    A_						:  str          =				ss

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






  def        _a							(							self :       Union[str, Any] ):

        '''simple docstring'''




        A_						:  Optional[Any]          =				[]
        A_						:  int          =				[]
        A_						:  Any          =				list(self.graph )[0]
        stack.append(lowerCamelCase_ )
        visited.append(lowerCamelCase_ )
        A_						:  Dict          =				-2
        A_						:  int          =				[]
        A_						:  int          =				s
        A_						:  Union[str, Any]          =				False
        A_						:  Tuple          =				set()

        while True:
              # check if there is any non isolated nodes
              if len(self.graph[s] ) != 0:
                    A_						:  Any          =				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_						:  Optional[Any]          =				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] )
                                A_						:  Tuple          =				node[1]
                                break

            # check if all the children are visited
              if s == ss:
                    stack.pop()
                    A_						:  Any          =				True
                    if len(lowerCamelCase_ ) != 0:
                          A_						:  str          =				stack[len(lowerCamelCase_ ) - 1]
              else:
                    A_						:  Optional[Any]          =				False
                    indirect_parents.append(lowerCamelCase_ )
                    A_						:  Any          =				s
                    A_						:  Tuple          =				ss

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






  def        _a							(							self :       List[Any] ):

        '''simple docstring'''




        return list(self.graph )






  def        _a							(							self :       str	,_a :       List[str]=-2	,_a :       str=-1 ):

        '''simple docstring'''




        A_						:  str          =				time()
        self.dfs(lowerCamelCase_	,lowerCamelCase_ )
        A_						:  Tuple          =				time()
        return end - begin






  def        _a							(							self :       Tuple	,_a :       Dict=-2 ):

        '''simple docstring'''




        A_						:  Optional[Any]          =				time()
        self.bfs(lowerCamelCase_ )
        A_						:  Dict          =				time()
        return end - begin




'''simple docstring'''


import warnings

from ...utils import logging
from .image_processing_owlvit import OwlViTImageProcessor


__magic_name__			=      logging.get_logger(__name__)



class 	__lowerCAmelCase		(							__SCREAMING_SNAKE_CASE    ):


  '''simple docstring'''







  def __init__(							self :       Union[str, Any]	,*_a :       Optional[Any]	,**_a :       Optional[int] ):

        '''simple docstring'''




        warnings.warn(
            """The class OwlViTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
            """ use OwlViTImageProcessor instead."""	,_a	,)
        super().__init__(*_a	,**_a )
