
"""simple docstring"""


from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_lowercase							   =				logging.get_logger(__name__)

_lowercase							   =				{
    '''junnyu/roformer_chinese_small''': '''https://huggingface.co/junnyu/roformer_chinese_small/resolve/main/config.json''',
    '''junnyu/roformer_chinese_base''': '''https://huggingface.co/junnyu/roformer_chinese_base/resolve/main/config.json''',
    '''junnyu/roformer_chinese_char_small''': (
        '''https://huggingface.co/junnyu/roformer_chinese_char_small/resolve/main/config.json'''
    ),
    '''junnyu/roformer_chinese_char_base''': (
        '''https://huggingface.co/junnyu/roformer_chinese_char_base/resolve/main/config.json'''
    ),
    '''junnyu/roformer_small_discriminator''': (
        '''https://huggingface.co/junnyu/roformer_small_discriminator/resolve/main/config.json'''
    ),
    '''junnyu/roformer_small_generator''': (
        '''https://huggingface.co/junnyu/roformer_small_generator/resolve/main/config.json'''
    ),
    # See all RoFormer models at https://huggingface.co/models?filter=roformer
}







class 				lowerCAmelCase_				(      _lowercase    ):



						'''simple docstring'''


						_lowerCamelCase:    str      =    '''roformer'''


						def __init__( self     :      Optional[Any]  ,A_     :      str=5_0000  ,A_     :      str=None  ,A_     :      Optional[Any]=768  ,A_     :      Optional[int]=12  ,A_     :      List[str]=12  ,A_     :      int=3072  ,A_     :      str="gelu"  ,A_     :      List[str]=0.1  ,A_     :      Dict=0.1  ,A_     :      Union[str, Any]=1536  ,A_     :      Dict=2  ,A_     :      str=0.02  ,A_     :      Union[str, Any]=1e-12  ,A_     :      List[str]=0  ,A_     :      List[str]=False  ,A_     :      Optional[Any]=True  ,**A_     :      Tuple  ,)     ->   str:
							super().__init__(pad_token_id=A_  ,**A_      )

							A						   =   vocab_size
							A						   =   hidden_size if embedding_size is None else embedding_size
							A						   =   hidden_size
							A						   =   num_hidden_layers
							A						   =   num_attention_heads
							A						   =   hidden_act
							A						   =   intermediate_size
							A						   =   hidden_dropout_prob
							A						   =   attention_probs_dropout_prob
							A						   =   max_position_embeddings
							A						   =   type_vocab_size
							A						   =   initializer_range
							A						   =   layer_norm_eps
							A						   =   rotary_value
							A						   =   use_cache







class 				lowerCAmelCase_				(      _lowercase    ):



						'''simple docstring'''


						@property
						def 						_SCREAMING_SNAKE_CASE      ( self     :      Tuple      )     ->   Mapping[str, Mapping[int, str]]:
							if self.task == "multiple-choice":
								A						   =   {0: 'batch', 1: 'choice', 2: 'sequence'}
							else:
								A						   =   {0: 'batch', 1: 'sequence'}
							A						   =   {0: 'batch', 1: 'sequence'}
							return OrderedDict(
							    [
							        ('input_ids', dynamic_axis),
							        ('attention_mask', dynamic_axis),
							        ('token_type_ids', dynamic_axis),
							    ]      )


"""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     :      Dict      )     ->   int:
							A						   =   {}


						def 						_SCREAMING_SNAKE_CASE      ( self     :      Any  ,A_     :      Union[str, Any]  ,A_     :      Any  ,A_     :      Optional[Any]=1      )     ->   int:
							if self.graph.get(A_      ):
								if self.graph[u].count([w, v]      ) == 0:
									self.graph[u].append([w, v]      )
							else:
								A						   =   [[w, v]]
							if not self.graph.get(A_      ):
								A						   =   []


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


						def 						_SCREAMING_SNAKE_CASE      ( self     :      Union[str, Any]  ,A_     :      Union[str, Any]  ,A_     :      Dict      )     ->   Optional[Any]:
							if self.graph.get(A_      ):
								for _ in self.graph[u]:
									if _[1] == v:
										self.graph[u].remove(A_      )


						def 						_SCREAMING_SNAKE_CASE      ( self     :      Any  ,A_     :      int=-2  ,A_     :      Dict=-1      )     ->   str:
							if s == d:
								return []
							A						   =   []
							A						   =   []
							if s == -2:
								A						   =   list(self.graph      )[0]
							stack.append(A_      )
							visited.append(A_      )
							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(A_      )
												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(A_      ) != 0:
										A						   =   stack[len(A_      ) - 1]
								else:
									A						   =   ss

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


						def 						_SCREAMING_SNAKE_CASE      ( self     :      Optional[Any]  ,A_     :      Any=-1      )     ->   int:
							if c == -1:
								A						   =   floor(random() * 1_0000      ) + 10
							for i in range(A_      ):
								# every vertex has max 100 edges
								for _ in range(floor(random() * 102      ) + 1      ):
									A						   =   floor(random() * c      ) + 1
									if n != i:
										self.add_pair(A_  ,A_  ,1      )


						def 						_SCREAMING_SNAKE_CASE      ( self     :      Optional[Any]  ,A_     :      Union[str, Any]=-2      )     ->   Optional[Any]:
							A						   =   deque()
							A						   =   []
							if s == -2:
								A						   =   list(self.graph      )[0]
							d.append(A_      )
							visited.append(A_      )
							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 						_SCREAMING_SNAKE_CASE      ( self     :      Union[str, Any]  ,A_     :      Tuple      )     ->   Any:
							A						   =   0
							for x in self.graph:
								for y in self.graph[x]:
									if y[1] == u:
										count += 1
							return count


						def 						_SCREAMING_SNAKE_CASE      ( self     :      Dict  ,A_     :      Union[str, Any]      )     ->   str:
							return len(self.graph[u]      )


						def 						_SCREAMING_SNAKE_CASE      ( self     :      Optional[int]  ,A_     :      Union[str, Any]=-2      )     ->   Any:
							A						   =   []
							A						   =   []
							if s == -2:
								A						   =   list(self.graph      )[0]
							stack.append(A_      )
							visited.append(A_      )
							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(A_      ) != 0:
										A						   =   stack[len(A_      ) - 1]
								else:
									A						   =   ss

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


						def 						_SCREAMING_SNAKE_CASE      ( self     :      Optional[Any]      )     ->   Tuple:
							A						   =   []
							A						   =   []
							A						   =   list(self.graph      )[0]
							stack.append(A_      )
							visited.append(A_      )
							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(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]      )
											A						   =   node[1]
											break

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

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


						def 						_SCREAMING_SNAKE_CASE      ( self     :      int      )     ->   Optional[int]:
							A						   =   []
							A						   =   []
							A						   =   list(self.graph      )[0]
							stack.append(A_      )
							visited.append(A_      )
							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(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]      )
											A						   =   node[1]
											break

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

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


						def 						_SCREAMING_SNAKE_CASE      ( self     :      Dict  ,A_     :      Tuple=-2  ,A_     :      List[str]=-1      )     ->   str:
							A						   =   time()
							self.dfs(A_  ,A_      )
							A						   =   time()
							return end - begin




						def 						_SCREAMING_SNAKE_CASE      ( self     :      List[str]  ,A_     :      Union[str, Any]=-2      )     ->   Dict:
							A						   =   time()
							self.bfs(A_      )
							A						   =   time()
							return end - begin







class 				lowerCAmelCase_				:



						'''simple docstring'''


						def __init__( self     :      List[Any]      )     ->   Tuple:
							A						   =   {}


						def 						_SCREAMING_SNAKE_CASE      ( self     :      Any  ,A_     :      Optional[Any]  ,A_     :      str  ,A_     :      List[str]=1      )     ->   Dict:
							# 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
								A						   =   [[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
								A						   =   [[w, u]]


						def 						_SCREAMING_SNAKE_CASE      ( self     :      List[Any]  ,A_     :      List[Any]  ,A_     :      List[str]      )     ->   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 						_SCREAMING_SNAKE_CASE      ( self     :      List[Any]  ,A_     :      List[str]=-2  ,A_     :      List[Any]=-1      )     ->   int:
							if s == d:
								return []
							A						   =   []
							A						   =   []
							if s == -2:
								A						   =   list(self.graph      )[0]
							stack.append(A_      )
							visited.append(A_      )
							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(A_      )
												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(A_      ) != 0:
										A						   =   stack[len(A_      ) - 1]
								else:
									A						   =   ss

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


						def 						_SCREAMING_SNAKE_CASE      ( self     :      Union[str, Any]  ,A_     :      Optional[int]=-1      )     ->   List[Any]:
							if c == -1:
								A						   =   floor(random() * 1_0000      ) + 10
							for i in range(A_      ):
								# every vertex has max 100 edges
								for _ in range(floor(random() * 102      ) + 1      ):
									A						   =   floor(random() * c      ) + 1
									if n != i:
										self.add_pair(A_  ,A_  ,1      )


						def 						_SCREAMING_SNAKE_CASE      ( self     :      Optional[Any]  ,A_     :      Dict=-2      )     ->   List[Any]:
							A						   =   deque()
							A						   =   []
							if s == -2:
								A						   =   list(self.graph      )[0]
							d.append(A_      )
							visited.append(A_      )
							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 						_SCREAMING_SNAKE_CASE      ( self     :      Union[str, Any]  ,A_     :      Optional[Any]      )     ->   List[Any]:
							return len(self.graph[u]      )


						def 						_SCREAMING_SNAKE_CASE      ( self     :      List[str]      )     ->   List[Any]:
							A						   =   []
							A						   =   []
							A						   =   list(self.graph      )[0]
							stack.append(A_      )
							visited.append(A_      )
							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(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]      )
											A						   =   node[1]
											break

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

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


						def 						_SCREAMING_SNAKE_CASE      ( self     :      Optional[int]      )     ->   Any:
							A						   =   []
							A						   =   []
							A						   =   list(self.graph      )[0]
							stack.append(A_      )
							visited.append(A_      )
							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(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]      )
											A						   =   node[1]
											break

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

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


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


						def 						_SCREAMING_SNAKE_CASE      ( self     :      Optional[int]  ,A_     :      Optional[Any]=-2  ,A_     :      List[str]=-1      )     ->   Any:
							A						   =   time()
							self.dfs(A_  ,A_      )
							A						   =   time()
							return end - begin




						def 						_SCREAMING_SNAKE_CASE      ( self     :      Optional[Any]  ,A_     :      List[Any]=-2      )     ->   Union[str, Any]:
							A						   =   time()
							self.bfs(A_      )
							A						   =   time()
							return end - begin