

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



class   lowercase_   :



      def __init__(      self				:    Any		)   ->					Union[str, Any]:
        _snake_case						=							{}



      def 						UpperCamelCase_		(      self				:    Dict      , A__				:    List[str]      , A__				:    Dict      , A__				:    Dict=1		)   ->					List[str]:
        if self.graph.get(A__		):
          if self.graph[u].count([w, v]		) == 0:
            self.graph[u].append([w, v]		)
        else:
          _snake_case						=							[[w, v]]
        if not self.graph.get(A__		):
          _snake_case						=							[]



      def 						UpperCamelCase_		(      self				:    Tuple		)   ->					str:
        return list(self.graph		)



      def 						UpperCamelCase_		(      self				:    Union[str, Any]      , A__				:    List[Any]      , A__				:    Any		)   ->					Union[str, Any]:
        if self.graph.get(A__		):
          for _ in self.graph[u]:
            if _[1] == v:
              self.graph[u].remove(A__		)



      def 						UpperCamelCase_		(      self				:    str      , A__				:    Optional[int]=-2      , A__				:    List[str]=-1		)   ->					Tuple:
        if s == d:
          return []
        _snake_case						=							[]
        _snake_case						=							[]
        if s == -2:
          _snake_case						=							list(self.graph		)[0]
        stack.append(A__		)
        visited.append(A__		)
        _snake_case						=							s

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

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

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



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



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



      def 						UpperCamelCase_		(      self				:    List[Any]      , A__				:    Any		)   ->					Dict:
        return len(self.graph[u]		)



      def 						UpperCamelCase_		(      self				:    Optional[Any]      , A__				:    int=-2		)   ->					Optional[Any]:
        _snake_case						=							[]
        _snake_case						=							[]
        if s == -2:
          _snake_case						=							list(self.graph		)[0]
        stack.append(A__		)
        visited.append(A__		)
        _snake_case						=							s
        _snake_case						=							[]

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

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

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



      def 						UpperCamelCase_		(      self				:    Tuple		)   ->					List[str]:
        _snake_case						=							[]
        _snake_case						=							[]
        _snake_case						=							list(self.graph		)[0]
        stack.append(A__		)
        visited.append(A__		)
        _snake_case						=							-2
        _snake_case						=							[]
        _snake_case						=							s
        _snake_case						=							False
        _snake_case						=							set()

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

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

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



      def 						UpperCamelCase_		(      self				:    Optional[int]		)   ->					Optional[int]:
        _snake_case						=							[]
        _snake_case						=							[]
        _snake_case						=							list(self.graph		)[0]
        stack.append(A__		)
        visited.append(A__		)
        _snake_case						=							-2
        _snake_case						=							[]
        _snake_case						=							s
        _snake_case						=							False
        _snake_case						=							set()

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

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

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



      def 						UpperCamelCase_		(      self				:    Union[str, Any]      , A__				:    List[str]=-2      , A__				:    int=-1		)   ->					Union[str, Any]:
        _snake_case						=							time()
        self.dfs(A__      , A__		)
        _snake_case						=							time()
        return end - begin







      def 						UpperCamelCase_		(      self				:    Optional[Any]      , A__				:    int=-2		)   ->					List[Any]:
        _snake_case						=							time()
        self.bfs(A__		)
        _snake_case						=							time()
        return end - begin



class   lowercase_   :



      def __init__(      self				:    Tuple		)   ->					Optional[int]:
        _snake_case						=							{}



      def 						UpperCamelCase_		(      self				:    Union[str, Any]      , A__				:    Union[str, Any]      , A__				:    int      , A__				:    List[str]=1		)   ->					Optional[Any]:
        # check if the u exists
        if self.graph.get(A__		):
          # 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
          _snake_case						=							[[w, v]]
        # add the other way
        if self.graph.get(A__		):
          # 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
          _snake_case						=							[[w, u]]



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



      def 						UpperCamelCase_		(      self				:    List[Any]      , A__				:    int=-2      , A__				:    Optional[int]=-1		)   ->					Dict:
        if s == d:
          return []
        _snake_case						=							[]
        _snake_case						=							[]
        if s == -2:
          _snake_case						=							list(self.graph		)[0]
        stack.append(A__		)
        visited.append(A__		)
        _snake_case						=							s

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

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

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



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



      def 						UpperCamelCase_		(      self				:    List[Any]      , A__				:    Any=-2		)   ->					str:
        _snake_case						=							deque()
        _snake_case						=							[]
        if s == -2:
          _snake_case						=							list(self.graph		)[0]
        d.append(A__		)
        visited.append(A__		)
        while d:
          _snake_case						=							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				:    Optional[int]      , A__				:    Optional[Any]		)   ->					List[Any]:
        return len(self.graph[u]		)



      def 						UpperCamelCase_		(      self				:    List[Any]		)   ->					Tuple:
        _snake_case						=							[]
        _snake_case						=							[]
        _snake_case						=							list(self.graph		)[0]
        stack.append(A__		)
        visited.append(A__		)
        _snake_case						=							-2
        _snake_case						=							[]
        _snake_case						=							s
        _snake_case						=							False
        _snake_case						=							set()

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

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

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



      def 						UpperCamelCase_		(      self				:    List[Any]		)   ->					List[Any]:
        _snake_case						=							[]
        _snake_case						=							[]
        _snake_case						=							list(self.graph		)[0]
        stack.append(A__		)
        visited.append(A__		)
        _snake_case						=							-2
        _snake_case						=							[]
        _snake_case						=							s
        _snake_case						=							False
        _snake_case						=							set()

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

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

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



      def 						UpperCamelCase_		(      self				:    Optional[int]		)   ->					str:
        return list(self.graph		)



      def 						UpperCamelCase_		(      self				:    List[Any]      , A__				:    str=-2      , A__				:    List[Any]=-1		)   ->					List[str]:
        _snake_case						=							time()
        self.dfs(A__      , A__		)
        _snake_case						=							time()
        return end - begin







      def 						UpperCamelCase_		(      self				:    Union[str, Any]      , A__				:    int=-2		)   ->					Dict:
        _snake_case						=							time()
        self.bfs(A__		)
        _snake_case						=							time()
        return end - begin




import argparse

import torch

from ...utils import logging
from . import AlbertConfig, AlbertForPreTraining, load_tf_weights_in_albert


logging.set_verbosity_info()



def 				snake_case_(_UpperCamelCase			,	_UpperCamelCase			,	_UpperCamelCase					)							->     Optional[Any]:



  """simple docstring"""






  _snake_case						=							AlbertConfig.from_json_file(_UpperCamelCase					)
  print(F"""Building PyTorch model from configuration: {config}"""					)
  _snake_case						=							AlbertForPreTraining(_UpperCamelCase					)

  # Load weights from tf checkpoint
  load_tf_weights_in_albert(_UpperCamelCase			,	_UpperCamelCase			,	_UpperCamelCase					)

  # Save pytorch-model
  print(F"""Save PyTorch model to {pytorch_dump_path}"""					)
  torch.save(model.state_dict()			,	_UpperCamelCase					)


if __name__ == "__main__":
 __A      		=     argparse.ArgumentParser()
 # Required parameters
 parser.add_argument(
     '''--tf_checkpoint_path''', default=None, type=str, required=True, help='''Path to the TensorFlow checkpoint path.'''
 )
 parser.add_argument(
     '''--albert_config_file''',
     default=None,
     type=str,
     required=True,
     help=(
         '''The config json file corresponding to the pre-trained ALBERT model. \n'''
         '''This specifies the model architecture.'''
     ),
 )
 parser.add_argument(
     '''--pytorch_dump_path''', default=None, type=str, required=True, help='''Path to the output PyTorch model.'''
 )
 __A      		=     parser.parse_args()
 convert_tf_checkpoint_to_pytorch(args.tf_checkpoint_path, args.albert_config_file, args.pytorch_dump_path)

