
import json
import os
from functools import lru_cache
from typing import TYPE_CHECKING, List, Optional, Tuple, Union

import numpy as np
import regex as re

from ...utils import is_tf_available, is_torch_available, logging


if TYPE_CHECKING:
					if is_torch_available():
										import torch
					if is_tf_available():
										import tensorflow as tf

from ...tokenization_utils import AddedToken, PreTrainedTokenizer


_UpperCAmelCase   :					Union[str, Any]    =			logging.get_logger(__name__)

_UpperCAmelCase   :					Optional[int]    =			{
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
}

_UpperCAmelCase   :					List[str]    =			{
    "vocab_file": {
        "Salesforce/codegen-350M-mono": "https://huggingface.co/Salesforce/codegen-350M-mono/resolve/main/vocab.json",
    },
    "merges_file": {
        "Salesforce/codegen-350M-mono": "https://huggingface.co/Salesforce/codegen-350M-mono/resolve/main/merges.txt",
    },
}

_UpperCAmelCase   :					Union[str, Any]    =			{
    "Salesforce/codegen-350M-mono": 2_048,
}


@lru_cache()
def  A			(   )  ->    str:
		'''simple docstring'''

		UpperCamelCase            =	(
		    list(range(ord('!'					)       ,			ord('~'					) + 1					)					) + list(range(ord('¡'					)       ,			ord('¬'					) + 1					)					) + list(range(ord('®'					)       ,			ord('ÿ'					) + 1					)					)
		)
		UpperCamelCase            =	bs[:]
		UpperCamelCase            =	0
		for b in range(2**8					):
				if b not in bs:
						bs.append(lowercase					)
						cs.append(2**8 + n					)
						n += 1
		UpperCamelCase            =	[chr(lowercase					) for n in cs]
		return dict(zip(lowercase       ,			lowercase					)					)


def  A			(   lowercase					)  ->    Tuple:
		'''simple docstring'''

		UpperCamelCase            =	set()
		UpperCamelCase            =	word[0]
		for char in word[1:]:
				pairs.add((prev_char, char)					)
				UpperCamelCase            =	char
		return pairs


class 							lowercase   (						_SCREAMING_SNAKE_CASE  ):
		__lowercase			:			List[Any]      	=							VOCAB_FILES_NAMES
		__lowercase			:			Tuple      	=							PRETRAINED_VOCAB_FILES_MAP
		__lowercase			:			List[str]      	=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		__lowercase			:			Dict      	=							["input_ids", "attention_mask"]



		def __init__(					self							, A_							, A_							, A_="replace"							, A_="<|endoftext|>"							, A_="<|endoftext|>"							, A_="<|endoftext|>"							, A_=None							, A_=False							, A_=False							, **A_							, )    ->   int:
				"""simple docstring"""
				UpperCamelCase            =	AddedToken(A_							, lstrip=A_							, rstrip=A_			) if isinstance(A_							, A_			) else bos_token
				UpperCamelCase            =	AddedToken(A_							, lstrip=A_							, rstrip=A_			) if isinstance(A_							, A_			) else eos_token
				UpperCamelCase            =	AddedToken(A_							, lstrip=A_							, rstrip=A_			) if isinstance(A_							, A_			) else unk_token
				UpperCamelCase            =	AddedToken(A_							, lstrip=A_							, rstrip=A_			) if isinstance(A_							, A_			) else pad_token
				super().__init__(
				    errors=A_							, unk_token=A_							, bos_token=A_							, eos_token=A_							, pad_token=A_							, add_prefix_space=A_							, add_bos_token=A_							, **A_							, )
				UpperCamelCase            =	add_bos_token

				with open(A_							, encoding='utf-8'			) as vocab_handle:
						UpperCamelCase            =	json.load(A_			)
				UpperCamelCase            =	{v: k for k, v in self.encoder.items()}
				UpperCamelCase            =	errors  # how to handle errors in decoding
				UpperCamelCase            =	bytes_to_unicode()
				UpperCamelCase            =	{v: k for k, v in self.byte_encoder.items()}
				with open(A_							, encoding='utf-8'			) as merges_handle:
						UpperCamelCase            =	merges_handle.read().split('\n'			)[1:-1]
				UpperCamelCase            =	[tuple(merge.split()			) for merge in bpe_merges]
				UpperCamelCase            =	dict(zip(A_							, range(len(A_			)			)			)			)
				UpperCamelCase            =	{}
				UpperCamelCase            =	add_prefix_space

				# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
				UpperCamelCase            =	re.compile(r'\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'			)



		@property
		def __UpperCamelCase					(					self			)    ->   Union[str, Any]:
				"""simple docstring"""
				return len(self.encoder			)



		def __UpperCamelCase					(					self			)    ->   Dict:
				"""simple docstring"""
				return dict(self.encoder							, **self.added_tokens_encoder			)



		def __UpperCamelCase					(					self							, A_			)    ->   Optional[int]:
				"""simple docstring"""
				if token in self.cache:
						return self.cache[token]
				UpperCamelCase            =	tuple(A_			)
				UpperCamelCase            =	get_pairs(A_			)

				if not pairs:
						return token

				while True:
						UpperCamelCase            =	min(A_							, key=lambda A_			: self.bpe_ranks.get(A_							, float('inf'			)			)			)
						if bigram not in self.bpe_ranks:
								break
						UpperCamelCase      ,    UpperCamelCase            =	bigram
						UpperCamelCase            =	[]
						UpperCamelCase            =	0
						while i < len(A_			):
								try:
										UpperCamelCase            =	word.index(A_							, A_			)
								except ValueError:
										new_word.extend(word[i:]			)
										break
								else:
										new_word.extend(word[i:j]			)
										UpperCamelCase            =	j

								if word[i] == first and i < len(A_			) - 1 and word[i + 1] == second:
										new_word.append(first + second			)
										i += 2
								else:
										new_word.append(word[i]			)
										i += 1
						UpperCamelCase            =	tuple(A_			)
						UpperCamelCase            =	new_word
						if len(A_			) == 1:
								break
						else:
								UpperCamelCase            =	get_pairs(A_			)
				UpperCamelCase            =	' '.join(A_			)
				UpperCamelCase            =	word
				return word



		def __UpperCamelCase					(					self							, A_							, A_=None			)    ->   int:
				"""simple docstring"""
				if self.add_bos_token:
						UpperCamelCase            =	[self.bos_token_id]
				else:
						UpperCamelCase            =	[]

				UpperCamelCase            =	bos_token_ids + token_ids_a

				if token_ids_a is None:
						return output

				return output + bos_token_ids + token_ids_a



		def __UpperCamelCase					(					self							, A_			)    ->   Tuple:
				"""simple docstring"""
				UpperCamelCase            =	[]
				for token in re.findall(self.pat							, A_			):
						UpperCamelCase            =	''.join(
						    self.byte_encoder[b] for b in token.encode('utf-8'			)			)  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
						bpe_tokens.extend(bpe_token for bpe_token in self.bpe(A_			).split(' '			)			)
				return bpe_tokens



		def __UpperCamelCase					(					self							, A_			)    ->   int:
				"""simple docstring"""
				return self.encoder.get(A_							, self.encoder.get(self.unk_token			)			)



		def __UpperCamelCase					(					self							, A_			)    ->   str:
				"""simple docstring"""
				return self.decoder.get(A_			)



		def __UpperCamelCase					(					self							, A_			)    ->   Any:
				"""simple docstring"""
				UpperCamelCase            =	''.join(A_			)
				UpperCamelCase            =	bytearray([self.byte_decoder[c] for c in text]			).decode('utf-8'							, errors=self.errors			)
				return text



		def __UpperCamelCase					(					self							, A_							, A_ = None			)    ->   Tuple[str]:
				"""simple docstring"""
				if not os.path.isdir(A_			):
						logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''			)
						return
				UpperCamelCase            =	os.path.join(
				    A_							, (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']			)
				UpperCamelCase            =	os.path.join(
				    A_							, (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']			)

				with open(A_							, 'w'							, encoding='utf-8'			) as f:
						f.write(json.dumps(self.encoder							, indent=2							, sort_keys=A_							, ensure_ascii=A_			) + '\n'			)

				UpperCamelCase            =	0
				with open(A_							, 'w'							, encoding='utf-8'			) as writer:
						writer.write('#version: 0.2\n'			)
						for bpe_tokens, token_index in sorted(self.bpe_ranks.items()							, key=lambda A_			: kv[1]			):
								if index != token_index:
										logger.warning(
										    F'''Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'''
										    ' Please check that the tokenizer is not corrupted!'			)
										UpperCamelCase            =	token_index
								writer.write(' '.join(A_			) + '\n'			)
								index += 1

				return vocab_file, merge_file



		def __UpperCamelCase					(					self							, A_							, A_=False							, **A_			)    ->   Any:
				"""simple docstring"""
				UpperCamelCase            =	kwargs.pop('add_prefix_space'							, self.add_prefix_space			)
				if is_split_into_words or add_prefix_space:
						UpperCamelCase            =	' ' + text
				return (text, kwargs)



		def __UpperCamelCase					(					self							, A_							, A_ = False							, A_ = None							, A_ = None							, **A_							, )    ->   str:
				"""simple docstring"""
				UpperCamelCase            =	super()._decode(
				    token_ids=A_							, skip_special_tokens=A_							, clean_up_tokenization_spaces=A_							, **A_							, )

				if truncate_before_pattern is not None and len(A_			) > 0:
						UpperCamelCase            =	self.truncate(A_							, A_			)

				return decoded_text



		def __UpperCamelCase					(					self							, A_							, A_			)    ->   str:
				"""simple docstring"""
				def find_re(A_							, A_							, A_			):
						UpperCamelCase            =	pattern.search(A_							, A_			)
						return m.start() if m else -1

				UpperCamelCase            =	[re.compile(A_							, re.MULTILINE			) for pattern in truncate_before_pattern]

				UpperCamelCase            =	list(re.finditer('^print'							, A_							, re.MULTILINE			)			)

				if len(A_			) > 1:
						UpperCamelCase            =	completion[: prints[1].start()]

				UpperCamelCase            =	list(re.finditer('^def'							, A_							, re.MULTILINE			)			)

				if len(A_			) > 1:
						UpperCamelCase            =	completion[: defs[1].start()]

				UpperCamelCase            =	0

				UpperCamelCase            =	[
				    pos for pos in [find_re(A_							, A_							, A_			) for terminal in terminals] if pos != -1
				]

				if len(A_			) > 0:
						return completion[: min(A_			)]
				else:
						return completion


from __future__ import annotations


def  A			(   lowercase       ,			lowercase					)  ->    int:
		'''simple docstring'''

		UpperCamelCase      ,    UpperCamelCase            =	0, len(lowercase					) - 1
		while start_ind <= end_ind:
				if array[start_ind] == search_item:
						return start_ind
				elif array[end_ind] == search_item:
						return end_ind
				else:
						start_ind += 1
						end_ind -= 1
    # returns -1 if search_item is not found in array
		return -1


if __name__ == "__main__":
					print(double_linear_search(list(range(100)), 40))
