






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
)
A__			:    Dict         =				logging.getLogger(__name__)






def 						a    (		):






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

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

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

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

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

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


if __name__ == "__main__":
							main()












from __future__ import annotations

from collections import deque
from collections.abc import Sequence
from dataclasses import dataclass
from typing import Any
@dataclass
class    _UpperCAmelCase      :

				"""simple docstring"""




				lowercase__       							= 42
				lowercase__       							= None
				lowercase__       							= None






def 						a    (		):






				'''simple docstring'''
				lowercase__     				=    Node(1       )
				lowercase__     				=    Node(2       )
				lowercase__     				=    Node(3       )
				lowercase__     				=    Node(4       )
				lowercase__     				=    Node(5       )
				return tree






def 						a    (		lowerCamelCase_       ):






				'''simple docstring'''
				return [root.data, *preorder(root.left       ), *preorder(root.right       )] if root else []






def 						a    (		lowerCamelCase_       ):






				'''simple docstring'''
				return postorder(root.left       ) + postorder(root.right       ) + [root.data] if root else []






def 						a    (		lowerCamelCase_       ):






				'''simple docstring'''
				return [*inorder(root.left       ), root.data, *inorder(root.right       )] if root else []






def 						a    (		lowerCamelCase_       ):






				'''simple docstring'''
				return (max(height(root.left       )	,     height(root.right       )       ) + 1) if root else 0






def 						a    (		lowerCamelCase_       ):






				'''simple docstring'''
				lowercase__     				=    []

				if root is None:
								return output

				lowercase__     				=    deque([root]       )

				while process_queue:
								lowercase__     				=    process_queue.popleft()
								output.append(node.data       )

								if node.left:
												process_queue.append(node.left       )
								if node.right:
												process_queue.append(node.right       )
				return output






def 						a    (		lowerCamelCase_	,     lowerCamelCase_       ):






				'''simple docstring'''
				lowercase__     				=    []

				def populate_output(lowerCamelCase_	,     lowerCamelCase_       ) -> None:
								if not root:
												return
								if level == 1:
												output.append(root.data       )
								elif level > 1:
												populate_output(root.left	,     level - 1       )
												populate_output(root.right	,     level - 1       )

				populate_output(lowerCamelCase_	,     lowerCamelCase_       )
				return output






def 						a    (		lowerCamelCase_	,     lowerCamelCase_       ):






				'''simple docstring'''
				lowercase__     				=    []

				def populate_output(lowerCamelCase_	,     lowerCamelCase_       ) -> None:
								if root is None:
												return
								if level == 1:
												output.append(root.data       )
								elif level > 1:
												populate_output(root.right	,     level - 1       )
												populate_output(root.left	,     level - 1       )

				populate_output(lowerCamelCase_	,     lowerCamelCase_       )
				return output






def 						a    (		lowerCamelCase_       ):






				'''simple docstring'''
				if root is None:
								return []

				lowercase__     				=    []

				lowercase__     				=    0
				lowercase__     				=    height(lowerCamelCase_       )

				for h in range(1	,     height_tree + 1       ):
								if not flag:
												output.append(get_nodes_from_left_to_right(lowerCamelCase_	,     lowerCamelCase_       )       )
												lowercase__     				=    1
								else:
												output.append(get_nodes_from_right_to_left(lowerCamelCase_	,     lowerCamelCase_       )       )
												lowercase__     				=    0

				return output






def 						a    (		):  # Main function for testing.






				'''simple docstring'''
				lowercase__     				=    make_tree()
				print(F"""In-order Traversal: {inorder(lowerCamelCase_       )}"""       )
				print(F"""Pre-order Traversal: {preorder(lowerCamelCase_       )}"""       )
				print(F"""Post-order Traversal: {postorder(lowerCamelCase_       )}"""	,     '''\n'''       )

				print(F"""Height of Tree: {height(lowerCamelCase_       )}"""	,     '''\n'''       )

				print('''Complete Level Order Traversal: '''       )
				print(level_order(lowerCamelCase_       )	,     '''\n'''       )

				print('''Level-wise order Traversal: '''       )

				for level in range(1	,     height(lowerCamelCase_       ) + 1       ):
								print(F"""Level {level}:"""	,     get_nodes_from_left_to_right(lowerCamelCase_	,     level=lowerCamelCase_       )       )

				print('''\nZigZag order Traversal: '''       )
				print(zigzag(lowerCamelCase_       )       )


if __name__ == "__main__":
							import doctest

							doctest.testmod()
							main()




