



'''simple docstring'''





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


class 				snake_case :



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



       def 							_a      (				self     ,UpperCAmelCase_     ,UpperCAmelCase_     ,UpperCAmelCase_=1      )  ->							Dict:
           if self.graph.get(UpperCAmelCase_      ):
               if self.graph[u].count([w, v]      ) == 0:
                   self.graph[u].append([w, v]      )
           else:
               lowercase__		       =						[[w, v]]
           if not self.graph.get(UpperCAmelCase_      ):
               lowercase__		       =						[]



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



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



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

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

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

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



       def 							_a      (				self     ,UpperCAmelCase_=-1      )  ->							str:
           if c == -1:
               lowercase__		       =						floor(random() * 10_000      ) + 10
           for i in range(UpperCAmelCase_      ):
               # every vertex has max 100 edges
               for _ in range(floor(random() * 102      ) + 1      ):
                   lowercase__		       =						floor(random() * c      ) + 1
                   if n != i:
                       self.add_pair(UpperCAmelCase_     ,UpperCAmelCase_     ,1      )



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



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



       def 							_a      (				self     ,UpperCAmelCase_=-2      )  ->							List[Any]:
           lowercase__		       =						[]
           lowercase__		       =						[]
           if s == -2:
               lowercase__		       =						list(self.graph      )[0]
           stack.append(UpperCAmelCase_      )
           visited.append(UpperCAmelCase_      )
           lowercase__		       =						s
           lowercase__		       =						[]

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

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

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



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

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

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

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



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

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

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

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



       def 							_a      (				self     ,UpperCAmelCase_=-2     ,UpperCAmelCase_=-1      )  ->							str:
           lowercase__		       =						time()
           self.dfs(UpperCAmelCase_     ,UpperCAmelCase_      )
           lowercase__		       =						time()
           return end - begin







       def 							_a      (				self     ,UpperCAmelCase_=-2      )  ->							Any:
           lowercase__		       =						time()
           self.bfs(UpperCAmelCase_      )
           lowercase__		       =						time()
           return end - begin





class 				snake_case :



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



       def 							_a      (				self     ,UpperCAmelCase_     ,UpperCAmelCase_     ,UpperCAmelCase_=1      )  ->							Tuple:
           # 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
               lowercase__		       =						[[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
               lowercase__		       =						[[w, u]]



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

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

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

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



       def 							_a      (				self     ,UpperCAmelCase_=-1      )  ->							Union[str, Any]:
           if c == -1:
               lowercase__		       =						floor(random() * 10_000      ) + 10
           for i in range(UpperCAmelCase_      ):
               # every vertex has max 100 edges
               for _ in range(floor(random() * 102      ) + 1      ):
                   lowercase__		       =						floor(random() * c      ) + 1
                   if n != i:
                       self.add_pair(UpperCAmelCase_     ,UpperCAmelCase_     ,1      )



       def 							_a      (				self     ,UpperCAmelCase_=-2      )  ->							int:
           lowercase__		       =						deque()
           lowercase__		       =						[]
           if s == -2:
               lowercase__		       =						list(self.graph      )[0]
           d.append(UpperCAmelCase_      )
           visited.append(UpperCAmelCase_      )
           while d:
               lowercase__		       =						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     ,UpperCAmelCase_      )  ->							Optional[Any]:
           return len(self.graph[u]      )



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

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

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

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



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

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

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

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



       def 							_a      (				self      )  ->							Any:
           return list(self.graph      )



       def 							_a      (				self     ,UpperCAmelCase_=-2     ,UpperCAmelCase_=-1      )  ->							Tuple:
           lowercase__		       =						time()
           self.dfs(UpperCAmelCase_     ,UpperCAmelCase_      )
           lowercase__		       =						time()
           return end - begin







       def 							_a      (				self     ,UpperCAmelCase_=-2      )  ->							int:
           lowercase__		       =						time()
           self.bfs(UpperCAmelCase_      )
           lowercase__		       =						time()
           return end - begin









'''simple docstring'''





import os
from typing import Dict, List, Union

import tensorflow as tf
from keras_nlp.tokenizers import BytePairTokenizer
from tensorflow_text import pad_model_inputs

from .tokenization_gpta import GPTaTokenizer


class 				snake_case (tf.keras.layers.Layer   ):



       def __init__(				self     ,UpperCAmelCase_     ,UpperCAmelCase_     ,UpperCAmelCase_ = None     ,UpperCAmelCase_ = None      )  ->							List[Any]:
           super().__init__()
           lowercase__		       =						pad_token_id
           lowercase__		       =						max_length
           lowercase__		       =						vocab
           lowercase__		       =						merges
           lowercase__		       =						BytePairTokenizer(UpperCAmelCase_     ,UpperCAmelCase_     ,sequence_length=UpperCAmelCase_      )



       @classmethod
       def 							_a      (				cls     ,UpperCAmelCase_     ,*UpperCAmelCase_     ,**UpperCAmelCase_      )  ->							List[str]:
           lowercase__		       =						[" ".join(UpperCAmelCase_      ) for m in tokenizer.bpe_ranks.keys()]
           lowercase__		       =						tokenizer.get_vocab()
           return cls(UpperCAmelCase_     ,UpperCAmelCase_     ,*UpperCAmelCase_     ,**UpperCAmelCase_      )



       @classmethod
       def 							_a      (				cls     ,UpperCAmelCase_     ,*UpperCAmelCase_     ,**UpperCAmelCase_      )  ->							Optional[Any]:
           lowercase__		       =						GPTaTokenizer.from_pretrained(UpperCAmelCase_     ,*UpperCAmelCase_     ,**UpperCAmelCase_      )
           return cls.from_tokenizer(UpperCAmelCase_     ,*UpperCAmelCase_     ,**UpperCAmelCase_      )



       @classmethod
       def 							_a      (				cls     ,UpperCAmelCase_      )  ->							Optional[Any]:
           return cls(**UpperCAmelCase_      )



       def 							_a      (				self      )  ->							Tuple:
           return {
               "vocab": self.vocab,
               "merges": self.merges,
               "max_length": self.max_length,
               "pad_token_id": self.pad_token_id,
           }







       def 							_a      (				self     ,UpperCAmelCase_     ,UpperCAmelCase_ = None      )  ->							Tuple:
           lowercase__		       =						self.tf_tokenizer(UpperCAmelCase_      )
           lowercase__		       =						tf.ones_like(UpperCAmelCase_      )

           if self.pad_token_id is not None:
               # pad the tokens up to max length
               lowercase__		       =						max_length if max_length is not None else self.max_length

               if max_length is not None:
                   lowercase__       ,       lowercase__		       =						pad_model_inputs(
                       UpperCAmelCase_     ,max_seq_length=UpperCAmelCase_     ,pad_value=self.pad_token_id      )

           return {"attention_mask": attention_mask, "input_ids": input_ids}




