






"""simple docstring"""
import collections
import os
from typing import List, Optional, Tuple

from transformers.utils import is_jieba_available, requires_backends


if is_jieba_available():
			import jieba

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


lowerCamelCase_					=      logging.get_logger(__name__)

lowerCamelCase_					=      {'''vocab_file''': '''vocab.txt'''}

lowerCamelCase_					=      {
    '''vocab_file''': {
        '''openbmb/cpm-ant-10b''': '''https://huggingface.co/openbmb/cpm-ant-10b/blob/main/vocab.txt''',
    },
}

lowerCamelCase_					=      {
    '''openbmb/cpm-ant-10b''': 1024,
}

def 				snake_case      (   A__						):
			UpperCAmelCase_     : List[str]			     =					collections.OrderedDict()
			with open(A__	,"r"	,encoding="utf-8"						) as reader:
						UpperCAmelCase_     : Dict			     =					reader.readlines()
			for index, token in enumerate(A__						):
						UpperCAmelCase_     : Optional[Any]			     =					token.rstrip("\n"						)
						UpperCAmelCase_     : Optional[Any]			     =					index
			return vocab







class 			UpperCamelCase_       (__A     ):





	def __init__(      self					: Tuple	,	lowerCAmelCase_					: List[Any]	,	lowerCAmelCase_					: Any="<unk>"	,	lowerCAmelCase_					: int=200						)						->			Tuple:
				UpperCAmelCase_     : str			     =					vocab
				UpperCAmelCase_     : str			     =					unk_token
				UpperCAmelCase_     : int			     =					max_input_chars_per_word





	def      _SCREAMING_SNAKE_CASE      (      self					: str	,	lowerCAmelCase_					: List[Any]						)						->			Dict:
				UpperCAmelCase_     : Optional[Any]			     =					list(lowerCAmelCase_						)
				if len(lowerCAmelCase_						) > self.max_input_chars_per_word:
							return [self.unk_token]

				UpperCAmelCase_     : Tuple			     =					0
				UpperCAmelCase_     : str			     =					[]
				while start < len(lowerCAmelCase_						):
							UpperCAmelCase_     : Optional[int]			     =					len(lowerCAmelCase_						)
							UpperCAmelCase_     : Dict			     =					None
							while start < end:
										UpperCAmelCase_     : Dict			     =					"".join(chars[start:end]						)
										if substr in self.vocab:
													UpperCAmelCase_     : Union[str, Any]			     =					substr
													break
										end -= 1
							if cur_substr is None:
										sub_tokens.append(self.unk_token						)
										start += 1
							else:
										sub_tokens.append(lowerCAmelCase_						)
										UpperCAmelCase_     : int			     =					end

				return sub_tokens







class 			UpperCamelCase_       (__A     ):
	__magic_name__	      =				VOCAB_FILES_NAMES
	__magic_name__	      =				PRETRAINED_VOCAB_FILES_MAP
	__magic_name__	      =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	__magic_name__	      =				['''input_ids''', '''attention_mask''']
	__magic_name__	      =				False





	def __init__(      self					: str	,	lowerCAmelCase_					: List[str]	,	lowerCAmelCase_					: Any="<d>"	,	lowerCAmelCase_					: Tuple="</d>"	,	lowerCAmelCase_					: int="<s>"	,	lowerCAmelCase_					: str="</s>"	,	lowerCAmelCase_					: Optional[int]="<pad>"	,	lowerCAmelCase_					: Tuple="<unk>"	,	lowerCAmelCase_					: Optional[int]="</n>"	,	lowerCAmelCase_					: List[str]="</_>"	,	lowerCAmelCase_					: Any="left"	,	**lowerCAmelCase_					: List[Any]	,	)						->			str:
				requires_backends(self	,	["jieba"]						)
				super().__init__(
				    bod_token=lowerCAmelCase_	,	eod_token=lowerCAmelCase_	,	bos_token=lowerCAmelCase_	,	eos_token=lowerCAmelCase_	,	pad_token=lowerCAmelCase_	,	unk_token=lowerCAmelCase_	,	line_token=lowerCAmelCase_	,	space_token=lowerCAmelCase_	,	padding_side=lowerCAmelCase_	,	**lowerCAmelCase_	,	)
				UpperCAmelCase_     : Optional[int]			     =					bod_token
				UpperCAmelCase_     : Optional[int]			     =					eod_token
				UpperCAmelCase_     : List[Any]			     =					load_vocab(lowerCAmelCase_						)
				UpperCAmelCase_     : Union[str, Any]			     =					self.encoder[space_token]
				UpperCAmelCase_     : Any			     =					self.encoder[line_token]

				del self.encoder[space_token]
				del self.encoder[line_token]

				UpperCAmelCase_     : Optional[int]			     =					collections.OrderedDict(sorted(self.encoder.items()	,	key=lambda lowerCAmelCase_						: x[1]						)						)
				UpperCAmelCase_     : List[Any]			     =					{v: k for k, v in self.encoder.items()}

				UpperCAmelCase_     : Optional[int]			     =					WordpieceTokenizer(vocab=self.encoder	,	unk_token=self.unk_token						)





	@property
	def      _SCREAMING_SNAKE_CASE      (      self					: Tuple						)						->			Any:
				return self.encoder[self.bod_token]





	@property
	def      _SCREAMING_SNAKE_CASE      (      self					: Any						)						->			str:
				return self.encoder[self.eod_token]





	@property
	def      _SCREAMING_SNAKE_CASE      (      self					: Optional[Any]						)						->			Optional[int]:
				return self.encoder["\n"]





	@property
	def      _SCREAMING_SNAKE_CASE      (      self					: str						)						->			int:
				return len(self.encoder						)





	def      _SCREAMING_SNAKE_CASE      (      self					: int						)						->			List[Any]:
				return dict(self.encoder	,	**self.added_tokens_encoder						)





	def      _SCREAMING_SNAKE_CASE      (      self					: Dict	,	lowerCAmelCase_					: List[Any]						)						->			Union[str, Any]:
				UpperCAmelCase_     : Optional[int]			     =					[]
				for x in jieba.cut(lowerCAmelCase_	,	cut_all=lowerCAmelCase_						):
							output_tokens.extend(self.wordpiece_tokenizer.tokenize(lowerCAmelCase_						)						)
				return output_tokens





	def      _SCREAMING_SNAKE_CASE      (      self					: Optional[Any]	,	lowerCAmelCase_					: List[str]	,	**lowerCAmelCase_					: Optional[int]						)						->			str:
				UpperCAmelCase_     : Optional[Any]			     =					[i for i in token_ids if i >= 0]
				UpperCAmelCase_     : Dict			     =					[
				    x for x in token_ids if x != self.pad_token_id and x != self.eos_token_id and x != self.bos_token_id
				]
				return super()._decode(lowerCAmelCase_	,	**lowerCAmelCase_						)





	def      _SCREAMING_SNAKE_CASE      (      self					: int	,	lowerCAmelCase_					: List[str]						)						->			str:
				return token in self.encoder





	def      _SCREAMING_SNAKE_CASE      (      self					: Optional[int]	,	lowerCAmelCase_					: List[str]						)						->			str:
				return "".join(lowerCAmelCase_						)





	def      _SCREAMING_SNAKE_CASE      (      self					: Tuple	,	lowerCAmelCase_					: Tuple						)						->			Dict:
				return self.encoder.get(lowerCAmelCase_	,	self.encoder.get(self.unk_token						)						)





	def      _SCREAMING_SNAKE_CASE      (      self					: Tuple	,	lowerCAmelCase_					: Optional[Any]						)						->			str:
				return self.decoder.get(lowerCAmelCase_	,	self.unk_token						)





	def      _SCREAMING_SNAKE_CASE      (      self					: Optional[int]	,	lowerCAmelCase_					: str	,	lowerCAmelCase_					: Optional[str] = None						)						->			Tuple[str]:
				if os.path.isdir(lowerCAmelCase_						):
							UpperCAmelCase_     : Union[str, Any]			     =					os.path.join(
							    lowerCAmelCase_	,	(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]						)
				else:
							UpperCAmelCase_     : str			     =					(filename_prefix + "-" if filename_prefix else "") + save_directory
				UpperCAmelCase_     : List[str]			     =					0
				if " " in self.encoder:
							UpperCAmelCase_     : Union[str, Any]			     =					self.encoder[" "]
							del self.encoder[" "]
				if "\n" in self.encoder:
							UpperCAmelCase_     : Optional[int]			     =					self.encoder["\n"]
							del self.encoder["\n"]
				UpperCAmelCase_     : Union[str, Any]			     =					collections.OrderedDict(sorted(self.encoder.items()	,	key=lambda lowerCAmelCase_						: x[1]						)						)
				with open(lowerCAmelCase_	,	"w"	,	encoding="utf-8"						) as writer:
							for token, token_index in self.encoder.items():
										if index != token_index:
													logger.warning(
													    f"""Saving vocabulary to {vocab_file}: vocabulary indices are not consecutive."""
													    " Please check that the vocabulary is not corrupted!"						)
													UpperCAmelCase_     : int			     =					token_index
										writer.write(token + "\n"						)
										index += 1
				return (vocab_file,)





	def      _SCREAMING_SNAKE_CASE      (      self					: List[str]	,	lowerCAmelCase_					: List[int]	,	lowerCAmelCase_					: List[int] = None						)						->			List[int]:
				if token_ids_a is None:
							return [self.bos_token_id] + token_ids_a
				return [self.bos_token_id] + token_ids_a + [self.bos_token_id] + token_ids_a





	def      _SCREAMING_SNAKE_CASE      (      self					: Union[str, Any]	,	lowerCAmelCase_					: List[int]	,	lowerCAmelCase_					: Optional[List[int]] = None	,	lowerCAmelCase_					: bool = False						)						->			List[int]:

				if already_has_special_tokens:
							return super().get_special_tokens_mask(
							    token_ids_a=lowerCAmelCase_	,	token_ids_a=lowerCAmelCase_	,	already_has_special_tokens=lowerCAmelCase_						)

				if token_ids_a is not None:
							return [1] + ([0] * len(lowerCAmelCase_						)) + [1] + ([0] * len(lowerCAmelCase_						))
				return [1] + ([0] * len(lowerCAmelCase_						))











"""simple docstring"""
from __future__ import annotations

import time
from collections.abc import Sequence
from random import randint

from matplotlib import pyplot as plt

def 				snake_case      (   A__	,A__	,A__						):
			if not arr:
						return None, None, 0
			if low == high:
						return low, high, arr[low]

			UpperCAmelCase_     : Dict			     =					(low + high) // 2
			UpperCAmelCase_     ,	UpperCAmelCase_     ,	UpperCAmelCase_     : Any			     =					max_subarray(A__	,A__	,A__						)
			UpperCAmelCase_     ,	UpperCAmelCase_     ,	UpperCAmelCase_     : Union[str, Any]			     =					max_subarray(A__	,mid + 1	,A__						)
			UpperCAmelCase_     ,	UpperCAmelCase_     ,	UpperCAmelCase_     : Optional[Any]			     =					max_cross_sum(A__	,A__	,A__	,A__						)
			if left_sum >= right_sum and left_sum >= cross_sum:
						return left_low, left_high, left_sum
			elif right_sum >= left_sum and right_sum >= cross_sum:
						return right_low, right_high, right_sum
			return cross_left, cross_right, cross_sum

def 				snake_case      (   A__	,A__	,A__	,A__						):
			UpperCAmelCase_     ,	UpperCAmelCase_     : str			     =					float("-inf"						), -1
			UpperCAmelCase_     ,	UpperCAmelCase_     : Optional[Any]			     =					float("-inf"						), -1

			UpperCAmelCase_     : int | float			     =					0
			for i in range(A__	,low - 1	,-1						):
						summ += arr[i]
						if summ > left_sum:
									UpperCAmelCase_     : str			     =					summ
									UpperCAmelCase_     : Any			     =					i

			UpperCAmelCase_     : Dict			     =					0
			for i in range(mid + 1	,high + 1						):
						summ += arr[i]
						if summ > right_sum:
									UpperCAmelCase_     : List[Any]			     =					summ
									UpperCAmelCase_     : Optional[Any]			     =					i

			return max_left, max_right, (left_sum + right_sum)

def 				snake_case      (   A__						):
			UpperCAmelCase_     : str			     =					[randint(1	,A__						) for _ in range(A__						)]
			UpperCAmelCase_     : str			     =					time.time()
			max_subarray(A__	,0	,input_size - 1						)
			UpperCAmelCase_     : int			     =					time.time()
			return end - start

def 				snake_case      (   ):
			UpperCAmelCase_     : int			     =					[10, 1_00, 10_00, 1_00_00, 5_00_00, 10_00_00, 20_00_00, 30_00_00, 40_00_00, 50_00_00]
			UpperCAmelCase_     : List[str]			     =					[time_max_subarray(A__						) for input_size in input_sizes]
			print("No of Inputs\t\tTime Taken"						)
			for input_size, runtime in zip(A__	,A__						):
						print(A__	,"\t\t"	,A__						)
			plt.plot(A__	,A__						)
			plt.xlabel("Number of Inputs"						)
			plt.ylabel("Time taken in seconds"						)
			plt.show()


if __name__ == "__main__":
			from doctest import testmod

			testmod()



