

from collections.abc import Sequence
from queue import Queue







class  lowercase				:




				def __init__(					self      ,   snake_case      ,   snake_case      ,   snake_case      ,   snake_case=None      ,   snake_case=None       ):
											snake_case_							=    start
											snake_case_							=    end
											snake_case_							=    val
											snake_case_							=    (start + end) // 2
											snake_case_							=    left
											snake_case_							=    right




				def __repr__(					self       ):
											return F'''SegmentTreeNode(start={self.start}, end={self.end}, val={self.val})'''







class  lowercase				:




				def __init__(					self      ,   snake_case      ,   snake_case       ):
											snake_case_							=    collection
											snake_case_							=    function
											if self.collection:
																		snake_case_							=    self._build_tree(0      ,   len(snake_case       ) - 1       )




				def     a							(					self      ,   snake_case      ,   snake_case       ):
											self._update_tree(self.root      ,   snake_case      ,   snake_case       )




				def     a							(					self      ,   snake_case      ,   snake_case       ):
											return self._query_range(self.root      ,   snake_case      ,   snake_case       )




				def     a							(					self      ,   snake_case      ,   snake_case       ):
											if start == end:
																		return SegmentTreeNode(snake_case      ,   snake_case      ,   self.collection[start]       )
											snake_case_							=    (start + end) // 2
											snake_case_							=    self._build_tree(snake_case      ,   snake_case       )
											snake_case_							=    self._build_tree(mid + 1      ,   snake_case       )
											return SegmentTreeNode(snake_case      ,   snake_case      ,   self.fn(left.val      ,   right.val       )      ,   snake_case      ,   snake_case       )




				def     a							(					self      ,   snake_case      ,   snake_case      ,   snake_case       ):
											if node.start == i and node.end == i:
																		snake_case_							=    val
																		return
											if i <= node.mid:
																		self._update_tree(node.left      ,   snake_case      ,   snake_case       )
											else:
																		self._update_tree(node.right      ,   snake_case      ,   snake_case       )
											snake_case_							=    self.fn(node.left.val      ,   node.right.val       )




				def     a							(					self      ,   snake_case      ,   snake_case      ,   snake_case       ):
											if node.start == i and node.end == j:
																		return node.val

											if i <= node.mid:
																		if j <= node.mid:
																									# range in left child tree
																									return self._query_range(node.left      ,   snake_case      ,   snake_case       )
																		else:
																									# range in left child tree and right child tree
																									return self.fn(
																									    self._query_range(node.left      ,   snake_case      ,   node.mid       )      ,   self._query_range(node.right      ,   node.mid + 1      ,   snake_case       )      ,   )
											else:
																		# range in right child tree
																		return self._query_range(node.right      ,   snake_case      ,   snake_case       )




				def     a							(					self       ):
											if self.root is not None:
																		snake_case_							=    Queue()
																		queue.put(self.root       )
																		while not queue.empty():
																									snake_case_							=    queue.get()
																									yield node

																									if node.left is not None:
																																queue.put(node.left       )

																									if node.right is not None:
																																queue.put(node.right       )


if __name__ == "__main__":
					import operator

					for fn in [operator.add, max, min]:
										print("""*""" * 50)
										_UpperCAmelCase		:   List[Any]										=       SegmentTree([2, 1, 5, 3, 4], fn)
										for node in arr.traverse():
															print(node)
										print()

										arr.update(1, 5)
										for node in arr.traverse():
															print(node)
										print()

										print(arr.query_range(3, 4))  # 7
										print(arr.query_range(2, 2))  # 5
										print(arr.query_range(1, 3))  # 13
										print()







import multiprocessing
import time

from arguments import PretokenizationArguments
from datasets import load_dataset

from transformers import AutoTokenizer, HfArgumentParser





def 					__lowerCamelCase	( UpperCamelCase__      ):







							'''simple docstring'''






							snake_case_							=    {}
							snake_case_							=    tokenizer(example['content']   ,							truncation=UpperCamelCase__      )['input_ids']
							snake_case_							=    len(example['content']      ) / len(output['input_ids']      )
							return output


_UpperCAmelCase		:   Dict										=       HfArgumentParser(PretokenizationArguments)
_UpperCAmelCase		:   List[Any]										=       parser.parse_args()
if args.num_workers is None:
					_UpperCAmelCase		:   Union[str, Any]										=       multiprocessing.cpu_count()
_UpperCAmelCase		:   int										=       AutoTokenizer.from_pretrained(args.tokenizer_dir)

_UpperCAmelCase		:   Optional[int]										=       time.time()
_UpperCAmelCase		:   List[str]										=       load_dataset(args.dataset_name, split="""train""")
print(F'''Dataset loaded in {time.time()-t_start:.2f}s''')

_UpperCAmelCase		:   Tuple										=       time.time()
_UpperCAmelCase		:   Union[str, Any]										=       ds.map(
    tokenize,
    num_proc=args.num_workers,
    remove_columns=[
        """repo_name""",
        """path""",
        """copies""",
        """size""",
        """content""",
        """license""",
        """hash""",
        """line_mean""",
        """line_max""",
        """alpha_frac""",
        """autogenerated""",
    ],
)
print(F'''Dataset tokenized in {time.time()-t_start:.2f}s''')

_UpperCAmelCase		:   Dict										=       time.time()
ds.push_to_hub(args.tokenized_data_repo)


print(F'''Data pushed to the hub in {time.time()-t_start:.2f}s''')




