






from __future__ import annotations

from typing import Any


class      __SCREAMING_SNAKE_CASE       :






						def __init__(						self  ,    _UpperCamelCase  ,    _UpperCamelCase ):  # noqa: A002






												"""simple docstring"""
												lowerCAmelCase__         =    item
												lowerCAmelCase__         =    next




class      __SCREAMING_SNAKE_CASE       :






						def __init__(						self ):






												"""simple docstring"""
												lowerCAmelCase__         =    None
												lowerCAmelCase__         =    0






						def    UpperCamelCase__   (						self  ,    _UpperCamelCase ):






												"""simple docstring"""
												lowerCAmelCase__         =    Node(UpperCAmelCase_  ,    self.head )
												self.size += 1






						def    UpperCamelCase__   (						self ):






												"""simple docstring"""
												# Switched 'self.is_empty()' to 'self.head is None'
												# because mypy was considering the possibility that 'self.head'
												# can be None in below else part and giving error
												if self.head is None:
																		return None
												else:
																		lowerCAmelCase__         =    self.head.item
																		lowerCAmelCase__         =    self.head.next
																		self.size -= 1
																		return item






						def    UpperCamelCase__   (						self ):






												"""simple docstring"""
												return self.head is None






						def __str__(						self ):






												"""simple docstring"""
												if self.is_empty():
																		return ""
												else:
																		lowerCAmelCase__         =    self.head
																		lowerCAmelCase__         =    ''
																		lowerCAmelCase__         =    []
																		while iterate:
																								item_list.append(str(iterate.item ) )
																								lowerCAmelCase__         =    iterate.next

																		lowerCAmelCase__         =    ' --> '.join(UpperCAmelCase_ )

																		return item_str







						def __len__(						self ):






												"""simple docstring"""
												return self.size







"""simple docstring"""

import sys

from transformers import AutoTokenizer


_A				=					sys.argv[1]
_A				=					sys.argv[2]
_A				=					int(sys.argv[3])

_A				=					0

_A				=					AutoTokenizer.from_pretrained(model_name_or_path)
max_len -= tokenizer.num_special_tokens_to_add()

with open(dataset, 'rt') as f_p:
					for line in f_p:
										_A				=					line.rstrip()

										if not line:
															print(line)
															_A				=					0
															continue

										_A				=					line.split()[0]

										_A				=					len(tokenizer.tokenize(token))

										# Token contains strange control characters like \x96 or \x95
										# Just filter out the complete line
										if current_subwords_len == 0:
															continue

										if (subword_len_counter + current_subwords_len) > max_len:
															print('')
															print(line)
															_A				=					current_subwords_len
															continue

										subword_len_counter += current_subwords_len

										print(line)






