






class 							__UpperCamelCase     :







	def __init__(	self   :				List[Any]							,					_lowerCAmelCase   :				int							,					_lowerCAmelCase   :				List[Any]      )		->			List[Any]:
		"""simple docstring"""







		__lowercase   							=	name
		__lowercase   							=	val







	def __str__(	self   :				Union[str, Any]      )		->			Union[str, Any]:
		"""simple docstring"""







		return F'{self.__class__.__name__}({self.name}, {self.val})'







	def __lt__(	self   :				Optional[int]							,					_lowerCAmelCase   :				int      )		->			Any:
		"""simple docstring"""







		return self.val < other.val


class 							__UpperCamelCase     :







	def __init__(	self   :				Union[str, Any]							,					_lowerCAmelCase   :				Dict      )		->			List[Any]:
		"""simple docstring"""







		__lowercase   							=	{}
		__lowercase   							=	{}
		__lowercase   							=	self.build_heap(_lowerCAmelCase      )







	def __getitem__(	self   :				List[Any]							,					_lowerCAmelCase   :				int      )		->			Union[str, Any]:
		"""simple docstring"""







		return self.get_value(_lowerCAmelCase      )







	def 			_a (	self   :				str							,					_lowerCAmelCase   :				Tuple      )		->			Union[str, Any]:
		"""simple docstring"""







		return (idx - 1) // 2







	def 			_a (	self   :				Optional[Any]							,					_lowerCAmelCase   :				Optional[int]      )		->			int:
		"""simple docstring"""







		return idx * 2 + 1







	def 			_a (	self   :				List[Any]							,					_lowerCAmelCase   :				Optional[int]      )		->			Optional[Any]:
		"""simple docstring"""







		return idx * 2 + 2







	def 			_a (	self   :				int							,					_lowerCAmelCase   :				Optional[Any]      )		->			str:
		"""simple docstring"""







		return self.heap_dict[key]







	def 			_a (	self   :				Optional[Any]							,					_lowerCAmelCase   :				Any      )		->			Any:
		"""simple docstring"""







		__lowercase   							=	len(_lowerCAmelCase      ) - 1
		__lowercase   							=	self.get_parent_idx(_lowerCAmelCase      )

		for idx, i in enumerate(_lowerCAmelCase      ):
			__lowercase   							=	idx
			__lowercase   							=	i.val

		for i in range(_lowerCAmelCase							,					-1							,					-1      ):
			self.sift_down(_lowerCAmelCase							,					_lowerCAmelCase      )
		return array







	def 			_a (	self   :				List[str]							,					_lowerCAmelCase   :				List[Any]							,					_lowerCAmelCase   :				Tuple      )		->			List[str]:
		"""simple docstring"""







		while True:
			__lowercase   							=	self.get_left_child_idx(_lowerCAmelCase      )  # noqa: E741
			__lowercase   							=	self.get_right_child_idx(_lowerCAmelCase      )

			__lowercase   							=	idx
			if l < len(_lowerCAmelCase      ) and array[l] < array[idx]:
				__lowercase   							=	l
			if r < len(_lowerCAmelCase      ) and array[r] < array[smallest]:
				__lowercase   							=	r

			if smallest != idx:
				__lowercase							,    __lowercase   							=	array[smallest], array[idx]
				(
				    (
				    __lowercase
				)							,    (
				    __lowercase
				)							,    
				)   							=	(
				    self.idx_of_element[array[smallest]],
				    self.idx_of_element[array[idx]],
				)
				__lowercase   							=	smallest
			else:
				break







	def 			_a (	self   :				int							,					_lowerCAmelCase   :				Dict      )		->			List[str]:
		"""simple docstring"""







		__lowercase   							=	self.get_parent_idx(_lowerCAmelCase      )
		while p >= 0 and self.heap[p] > self.heap[idx]:
			__lowercase							,    __lowercase   							=	self.heap[idx], self.heap[p]
			__lowercase							,    __lowercase   							=	(
			    self.idx_of_element[self.heap[idx]],
			    self.idx_of_element[self.heap[p]],
			)
			__lowercase   							=	p
			__lowercase   							=	self.get_parent_idx(_lowerCAmelCase      )







	def 			_a (	self   :				Optional[int]      )		->			int:
		"""simple docstring"""







		return self.heap[0]







	def 			_a (	self   :				str      )		->			str:
		"""simple docstring"""







		__lowercase							,    __lowercase   							=	self.heap[-1], self.heap[0]
		__lowercase							,    __lowercase   							=	(
		    self.idx_of_element[self.heap[-1]],
		    self.idx_of_element[self.heap[0]],
		)

		__lowercase   							=	self.heap.pop()
		del self.idx_of_element[x]
		self.sift_down(0							,					self.heap      )
		return x







	def 			_a (	self   :				Union[str, Any]							,					_lowerCAmelCase   :				List[str]      )		->			Optional[int]:
		"""simple docstring"""







		self.heap.append(_lowerCAmelCase      )
		__lowercase   							=	len(self.heap      ) - 1
		__lowercase   							=	node.val
		self.sift_up(len(self.heap      ) - 1      )







	def 			_a (	self   :				List[Any]      )		->			int:
		"""simple docstring"""







		return len(self.heap      ) == 0







	def 			_a (	self   :				Tuple							,					_lowerCAmelCase   :				List[str]							,					_lowerCAmelCase   :				Union[str, Any]      )		->			int:
		"""simple docstring"""







		assert (
		    self.heap[self.idx_of_element[node]].val > new_value
		), "newValue must be less that current value"
		__lowercase   							=	new_value
		__lowercase   							=	new_value
		self.sift_up(self.idx_of_element[node]      )

__UpperCamelCase   :   Tuple      =    Node("""R""", -1)
__UpperCamelCase   :   Union[str, Any]      =    Node("""B""", 6)
__UpperCamelCase   :   Optional[Any]      =    Node("""A""", 3)
__UpperCamelCase   :   Union[str, Any]      =    Node("""X""", 1)
__UpperCamelCase   :   Any      =    Node("""E""", 4)

# Use one of these two ways to generate Min-Heap

# Generating Min-Heap from array
__UpperCamelCase   :   Tuple      =    MinHeap([r, b, a, x, e])

# Generating Min-Heap by Insert method
# myMinHeap.insert(a)
# myMinHeap.insert(b)
# myMinHeap.insert(x)
# myMinHeap.insert(r)
# myMinHeap.insert(e)

# Before
print("""Min Heap - before decrease key""")
for i in my_min_heap.heap:
						print(i)

print("""Min Heap - After decrease key of node [B -> -17]""")
my_min_heap.decrease_key(b, -17)

# After
for i in my_min_heap.heap:
						print(i)

if __name__ == "__main__":
						import doctest

						doctest.testmod()








"""simple docstring"""
import argparse
import logging
import pickle
import random
import time

import numpy as np

from transformers import BertTokenizer, GPTaTokenizer, RobertaTokenizer


logging.basicConfig(
    format='''%(asctime)s - %(levelname)s - %(name)s - %(message)s''', datefmt='''%m/%d/%Y %H:%M:%S''', level=logging.INFO
)
__UpperCamelCase     :						str						       =  logging.getLogger(__name__)

def 		_SCREAMING_SNAKE_CASE			():
 lowerCAmelCase    				= argparse.ArgumentParser(
     description='Preprocess the data to avoid re-doing it several times by (tokenization + token_to_ids).'			)
 parser.add_argument('--file_path'  ,     type=_UpperCAmelCase  ,     default='data/dump.txt'  ,     help='The path to the data.'			)
 parser.add_argument('--tokenizer_type'  ,     type=_UpperCAmelCase  ,     default='bert'  ,     choices=['bert', 'roberta', 'gpt2']			)
 parser.add_argument('--tokenizer_name'  ,     type=_UpperCAmelCase  ,     default='bert-base-uncased'  ,     help='The tokenizer to use.'			)
 parser.add_argument('--dump_file'  ,     type=_UpperCAmelCase  ,     default='data/dump'  ,     help='The dump file prefix.'			)
 lowerCAmelCase    				= parser.parse_args()

 logger.info(F'Loading Tokenizer ({args.tokenizer_name})'			)
 if args.tokenizer_type == "bert":
  lowerCAmelCase    				= BertTokenizer.from_pretrained(args.tokenizer_name			)
  lowerCAmelCase    				= tokenizer.special_tokens_map['cls_token']  # `[CLS]`
  lowerCAmelCase    				= tokenizer.special_tokens_map['sep_token']  # `[SEP]`
 elif args.tokenizer_type == "roberta":
  lowerCAmelCase    				= RobertaTokenizer.from_pretrained(args.tokenizer_name			)
  lowerCAmelCase    				= tokenizer.special_tokens_map['cls_token']  # `<s>`
  lowerCAmelCase    				= tokenizer.special_tokens_map['sep_token']  # `</s>`
 elif args.tokenizer_type == "gpt2":
  lowerCAmelCase    				= GPTaTokenizer.from_pretrained(args.tokenizer_name			)
  lowerCAmelCase    				= tokenizer.special_tokens_map['bos_token']  # `<|endoftext|>`
  lowerCAmelCase    				= tokenizer.special_tokens_map['eos_token']  # `<|endoftext|>`

 logger.info(F'Loading text from {args.file_path}'			)
 with open(args.file_path  ,     'r'  ,     encoding='utf8'			) as fp:
  lowerCAmelCase    				= fp.readlines()

 logger.info('Start encoding'			)
 logger.info(F'{len(_UpperCAmelCase			)} examples to process.'			)

 lowerCAmelCase    				= []
 lowerCAmelCase    				= 0
 lowerCAmelCase    				= 1_0000
 lowerCAmelCase    				= time.time()
 for text in data:
  lowerCAmelCase    				= F'{bos} {text.strip()} {sep}'
  lowerCAmelCase    				= tokenizer.encode(_UpperCAmelCase  ,     add_special_tokens=_UpperCAmelCase			)
  rslt.append(_UpperCAmelCase			)

  iter += 1
  if iter % interval == 0:
   lowerCAmelCase    				= time.time()
   logger.info(F'{iter} examples processed. - {(end-start):.2f}s/{interval}expl'			)
   lowerCAmelCase    				= time.time()
 logger.info('Finished binarization'			)
 logger.info(F'{len(_UpperCAmelCase			)} examples processed.'			)

 lowerCAmelCase    				= F'{args.dump_file}.{args.tokenizer_name}.pickle'
 lowerCAmelCase    				= tokenizer.vocab_size
 if vocab_size < (1 << 16):
  lowerCAmelCase    				= [np.uintaa(_UpperCAmelCase			) for d in rslt]
 else:
  lowerCAmelCase    				= [np.intaa(_UpperCAmelCase			) for d in rslt]
 random.shuffle(rslt_			)
 logger.info(F'Dump to {dp_file}'			)
 with open(_UpperCAmelCase  ,     'wb'			) as handle:
  pickle.dump(rslt_  ,     _UpperCAmelCase  ,     protocol=pickle.HIGHEST_PROTOCOL			)


if __name__ == "__main__":
       main()





