






import numpy as np
import torch
from torch.utils.data import Dataset

from utils import logger





class     SCREAMING_SNAKE_CASE					(			a_       ):





							"""simple docstring"""

							def __init__(	self: Dict		,  __A: int		,  __A: Dict )     ->					Any:
												_A										=			params

												_A										=			np.array(lowercase_ )
												_A										=			np.array([len(lowercase_ ) for t in data] )

												self.check()
												self.remove_long_sequences()
												self.remove_empty_sequences()
												self.remove_unknown_sequences()
												self.check()
												self.print_statistics()

							def __getitem__(	self: str		,  __A: Union[str, Any] )     ->					int:
												return (self.token_ids[index], self.lengths[index])

							def __len__(	self: List[Any] )     ->					Dict:
												return len(self.lengths )

							def    __A			(	self: List[Any] )     ->					List[str]:
												assert len(self.token_ids ) == len(self.lengths )
												assert all(self.lengths[i] == len(self.token_ids[i] ) for i in range(len(self.lengths ) ) )

							def    __A			(	self: List[str] )     ->					str:
												_A										=			self.params.max_model_input_size
												_A										=			self.lengths > max_len
												logger.info(f"""Splitting {sum(lowercase_ )} too long sequences.""" )

												def divide_chunks(__A: List[Any]		,  __A: List[str] ):
																	return [l[i : i + n] for i in range(0		,  len(lowercase_ )		,  lowercase_ )]

												_A										=			[]
												_A										=			[]
												if self.params.mlm:
																	_A										=			self.params.special_tok_ids['''cls_token'''], self.params.special_tok_ids['''sep_token''']
												else:
																	_A										=			self.params.special_tok_ids['''bos_token'''], self.params.special_tok_ids['''eos_token''']

												for seq_, len_ in zip(self.token_ids		,  self.lengths ):
																	assert (seq_[0] == cls_id) and (seq_[-1] == sep_id), seq_
																	if len_ <= max_len:
																						new_tok_ids.append(seq_ )
																						new_lengths.append(len_ )
																	else:
																						_A										=			[]
																						for sub_s in divide_chunks(seq_		,  max_len - 2 ):
																											if sub_s[0] != cls_id:
																																_A										=			np.insert(lowercase_		,  0		,  lowercase_ )
																											if sub_s[-1] != sep_id:
																																_A										=			np.insert(lowercase_		,  len(lowercase_ )		,  lowercase_ )
																											assert len(lowercase_ ) <= max_len
																											assert (sub_s[0] == cls_id) and (sub_s[-1] == sep_id), sub_s
																											sub_seqs.append(lowercase_ )

																						new_tok_ids.extend(lowercase_ )
																						new_lengths.extend([len(lowercase_ ) for l in sub_seqs] )

												_A										=			np.array(lowercase_ )
												_A										=			np.array(lowercase_ )

							def    __A			(	self: List[str] )     ->					int:
												_A										=			len(self )
												_A										=			self.lengths > 11
												_A										=			self.token_ids[indices]
												_A										=			self.lengths[indices]
												_A										=			len(self )
												logger.info(f"""Remove {init_size - new_size} too short (<=11 tokens) sequences.""" )

							def    __A			(	self: Optional[Any] )     ->					int:
												if "unk_token" not in self.params.special_tok_ids:
																	return
												else:
																	_A										=			self.params.special_tok_ids['''unk_token''']
												_A										=			len(self )
												_A										=			np.array([np.count_nonzero(a == unk_token_id ) for a in self.token_ids] )
												_A										=			(unk_occs / self.lengths) < 0.5
												_A										=			self.token_ids[indices]
												_A										=			self.lengths[indices]
												_A										=			len(self )
												logger.info(f"""Remove {init_size - new_size} sequences with a high level of unknown tokens (50%).""" )

							def    __A			(	self: Any )     ->					List[str]:
												if not self.params.is_master:
																	return
												logger.info(f"""{len(self )} sequences""" )
												# data_len = sum(self.lengths)
												# nb_unique_tokens = len(Counter(list(chain(*self.token_ids))))
												# logger.info(f'{data_len} tokens ({nb_unique_tokens} unique)')

												# unk_idx = self.params.special_tok_ids['unk_token']
												# nb_unknown = sum([(t==unk_idx).sum() for t in self.token_ids])
												# logger.info(f'{nb_unknown} unknown tokens (covering {100*nb_unknown/data_len:.2f}% of the data)')



							def    __A			(	self: List[str]		,  __A: Union[str, Any] )     ->					Dict:
												_A										=			[t[0] for t in batch]
												_A										=			[t[1] for t in batch]
												assert len(lowercase_ ) == len(lowercase_ )

												# Max for paddings
												_A										=			max(lowercase_ )

												# Pad token ids
												if self.params.mlm:
																	_A										=			self.params.special_tok_ids['''pad_token''']
												else:
																	_A										=			self.params.special_tok_ids['''unk_token''']
												_A										=			[list(t.astype(lowercase_ ) ) + [pad_idx] * (max_seq_len_ - len(lowercase_ )) for t in token_ids]
												assert len(tk_ ) == len(lowercase_ )
												assert all(len(lowercase_ ) == max_seq_len_ for t in tk_ )

												_A										=			torch.tensor(tk_ )  # (bs, max_seq_len_)
												_A										=			torch.tensor(lowercase_ )  # (bs)
												return tk_t, lg_t






"""simple docstring"""





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







class 							SCREAMING_SNAKE_CASE   :






					"""simple docstring"""



					def __init__(			self     :							Union[str, Any]						):
						lowerCAmelCase__      :		List[str]    							=      {}







					def 			__lowerCAmelCase					(			self     :							Optional[Any]  ,lowercase_     :							Optional[Any]  ,lowercase_     :							str  ,lowercase_     :							List[str]=1						):
						if self.graph.get(lowercase_						):
							if self.graph[u].count([w, v]						) == 0:
								self.graph[u].append([w, v]						)
						else:
							lowerCAmelCase__      :		Optional[int]    							=      [[w, v]]
						if not self.graph.get(lowercase_						):
							lowerCAmelCase__      :		Union[str, Any]    							=      []







					def 			__lowerCAmelCase					(			self     :							List[Any]						):
						return list(self.graph						)







					def 			__lowerCAmelCase					(			self     :							Dict  ,lowercase_     :							Tuple  ,lowercase_     :							Tuple						):
						if self.graph.get(lowercase_						):
							for _ in self.graph[u]:
								if _[1] == v:
									self.graph[u].remove(lowercase_						)







					def 			__lowerCAmelCase					(			self     :							int  ,lowercase_     :							Any=-2  ,lowercase_     :							List[Any]=-1						):
						if s == d:
							return []
						lowerCAmelCase__      :		int    							=      []
						lowerCAmelCase__      :		List[Any]    							=      []
						if s == -2:
							lowerCAmelCase__      :		int    							=      list(self.graph						)[0]
						stack.append(lowercase_						)
						visited.append(lowercase_						)
						lowerCAmelCase__      :		int    							=      s

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

            # check if all the children are visited
							if s == ss:
								stack.pop()
								if len(lowercase_						) != 0:
									lowerCAmelCase__      :		str    							=      stack[len(lowercase_						) - 1]
							else:
								lowerCAmelCase__      :		Union[str, Any]    							=      ss

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







					def 			__lowerCAmelCase					(			self     :							Dict  ,lowercase_     :							Optional[Any]=-1						):
						if c == -1:
							lowerCAmelCase__      :		Any    							=      floor(random() * 1_0_0_0_0						) + 1_0
						for i in range(lowercase_						):
							# every vertex has max 100 edges
							for _ in range(floor(random() * 1_0_2						) + 1						):
								lowerCAmelCase__      :		Any    							=      floor(random() * c						) + 1
								if n != i:
									self.add_pair(lowercase_  ,lowercase_  ,1						)







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







					def 			__lowerCAmelCase					(			self     :							str  ,lowercase_     :							Optional[int]						):
						return len(self.graph[u]						)







					def 			__lowerCAmelCase					(			self     :							List[str]  ,lowercase_     :							List[str]=-2						):
						lowerCAmelCase__      :		Union[str, Any]    							=      []
						lowerCAmelCase__      :		Any    							=      []
						if s == -2:
							lowerCAmelCase__      :		Any    							=      list(self.graph						)[0]
						stack.append(lowercase_						)
						visited.append(lowercase_						)
						lowerCAmelCase__      :		Tuple    							=      s
						lowerCAmelCase__      :		Optional[int]    							=      []

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

            # check if all the children are visited
							if s == ss:
								sorted_nodes.append(stack.pop()						)
								if len(lowercase_						) != 0:
									lowerCAmelCase__      :		Union[str, Any]    							=      stack[len(lowercase_						) - 1]
							else:
								lowerCAmelCase__      :		int    							=      ss

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







					def 			__lowerCAmelCase					(			self     :							List[Any]						):
						lowerCAmelCase__      :		str    							=      []
						lowerCAmelCase__      :		List[str]    							=      []
						lowerCAmelCase__      :		int    							=      list(self.graph						)[0]
						stack.append(lowercase_						)
						visited.append(lowercase_						)
						lowerCAmelCase__      :		List[Any]    							=      -2
						lowerCAmelCase__      :		str    							=      []
						lowerCAmelCase__      :		Optional[Any]    							=      s
						lowerCAmelCase__      :		Union[str, Any]    							=      False
						lowerCAmelCase__      :		Optional[int]    							=      set()

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

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

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







					def 			__lowerCAmelCase					(			self     :							int						):
						lowerCAmelCase__      :		Tuple    							=      []
						lowerCAmelCase__      :		Tuple    							=      []
						lowerCAmelCase__      :		Any    							=      list(self.graph						)[0]
						stack.append(lowercase_						)
						visited.append(lowercase_						)
						lowerCAmelCase__      :		List[str]    							=      -2
						lowerCAmelCase__      :		int    							=      []
						lowerCAmelCase__      :		int    							=      s
						lowerCAmelCase__      :		List[Any]    							=      False
						lowerCAmelCase__      :		List[str]    							=      set()

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

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

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







					def 			__lowerCAmelCase					(			self     :							Any  ,lowercase_     :							List[Any]=-2  ,lowercase_     :							Union[str, Any]=-1						):
						lowerCAmelCase__      :		Optional[int]    							=      time()
						self.dfs(lowercase_  ,lowercase_						)
						lowerCAmelCase__      :		Any    							=      time()
						return end - begin







					def 			__lowerCAmelCase					(			self     :							Any  ,lowercase_     :							Dict=-2						):
						lowerCAmelCase__      :		List[str]    							=      time()
						self.bfs(lowercase_						)
						lowerCAmelCase__      :		List[Any]    							=      time()
						return end - begin







class 							SCREAMING_SNAKE_CASE   :






					"""simple docstring"""



					def __init__(			self     :							Union[str, Any]						):
						lowerCAmelCase__      :		Tuple    							=      {}







					def 			__lowerCAmelCase					(			self     :							List[Any]  ,lowercase_     :							Optional[int]  ,lowercase_     :							Dict  ,lowercase_     :							Any=1						):
						# check if the u exists
						if self.graph.get(lowercase_						):
							# 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
							lowerCAmelCase__      :		List[Any]    							=      [[w, v]]
						# add the other way
						if self.graph.get(lowercase_						):
							# 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
							lowerCAmelCase__      :		int    							=      [[w, u]]







					def 			__lowerCAmelCase					(			self     :							Dict  ,lowercase_     :							Union[str, Any]  ,lowercase_     :							Dict						):
						if self.graph.get(lowercase_						):
							for _ in self.graph[u]:
								if _[1] == v:
									self.graph[u].remove(lowercase_						)
        # the other way round
						if self.graph.get(lowercase_						):
							for _ in self.graph[v]:
								if _[1] == u:
									self.graph[v].remove(lowercase_						)







					def 			__lowerCAmelCase					(			self     :							int  ,lowercase_     :							Optional[int]=-2  ,lowercase_     :							str=-1						):
						if s == d:
							return []
						lowerCAmelCase__      :		Optional[Any]    							=      []
						lowerCAmelCase__      :		Any    							=      []
						if s == -2:
							lowerCAmelCase__      :		Tuple    							=      list(self.graph						)[0]
						stack.append(lowercase_						)
						visited.append(lowercase_						)
						lowerCAmelCase__      :		int    							=      s

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

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

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







					def 			__lowerCAmelCase					(			self     :							Union[str, Any]  ,lowercase_     :							List[Any]=-1						):
						if c == -1:
							lowerCAmelCase__      :		str    							=      floor(random() * 1_0_0_0_0						) + 1_0
						for i in range(lowercase_						):
							# every vertex has max 100 edges
							for _ in range(floor(random() * 1_0_2						) + 1						):
								lowerCAmelCase__      :		List[str]    							=      floor(random() * c						) + 1
								if n != i:
									self.add_pair(lowercase_  ,lowercase_  ,1						)







					def 			__lowerCAmelCase					(			self     :							Optional[Any]  ,lowercase_     :							List[Any]=-2						):
						lowerCAmelCase__      :		Tuple    							=      deque()
						lowerCAmelCase__      :		List[Any]    							=      []
						if s == -2:
							lowerCAmelCase__      :		Tuple    							=      list(self.graph						)[0]
						d.append(lowercase_						)
						visited.append(lowercase_						)
						while d:
							lowerCAmelCase__      :		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 			__lowerCAmelCase					(			self     :							Any  ,lowercase_     :							Any						):
						return len(self.graph[u]						)







					def 			__lowerCAmelCase					(			self     :							Any						):
						lowerCAmelCase__      :		List[Any]    							=      []
						lowerCAmelCase__      :		int    							=      []
						lowerCAmelCase__      :		List[Any]    							=      list(self.graph						)[0]
						stack.append(lowercase_						)
						visited.append(lowercase_						)
						lowerCAmelCase__      :		Optional[int]    							=      -2
						lowerCAmelCase__      :		List[str]    							=      []
						lowerCAmelCase__      :		Tuple    							=      s
						lowerCAmelCase__      :		Tuple    							=      False
						lowerCAmelCase__      :		Union[str, Any]    							=      set()

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

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

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







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

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

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

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







					def 			__lowerCAmelCase					(			self     :							str						):
						return list(self.graph						)







					def 			__lowerCAmelCase					(			self     :							Any  ,lowercase_     :							Optional[int]=-2  ,lowercase_     :							Any=-1						):
						lowerCAmelCase__      :		Dict    							=      time()
						self.dfs(lowercase_  ,lowercase_						)
						lowerCAmelCase__      :		List[str]    							=      time()
						return end - begin







					def 			__lowerCAmelCase					(			self     :							Union[str, Any]  ,lowercase_     :							int=-2						):
						lowerCAmelCase__      :		Dict    							=      time()
						self.bfs(lowercase_						)
						lowerCAmelCase__      :		Any    							=      time()
						return end - begin




