


'''simple docstring'''

import collections
import json
import os
import re
from typing import TYPE_CHECKING, List, Optional, Tuple

import numpy as np

from ...tokenization_utils_fast import PreTrainedTokenizer
from ...utils import logging


if TYPE_CHECKING:
							from transformers.pipelines.conversational import Conversation


lowerCAmelCase				:str        =      logging.get_logger(__name__)

lowerCAmelCase				:Tuple        =      {'''vocab_file''': '''vocab.txt''', '''emoji_file''': '''emoji.json'''}

lowerCAmelCase				:Tuple        =      {
    '''vocab_file''': {
        '''abeja/gpt-neox-japanese-2.7b''': '''https://huggingface.co/abeja/gpt-neox-japanese-2.7b/resolve/main/vocab.txt''',
    },
    '''emoji_file''': {
        '''abeja/gpt-neox-japanese-2.7b''': '''https://huggingface.co/abeja/gpt-neox-japanese-2.7b/resolve/main/emoji.json''',
    },
}

lowerCAmelCase				:int        =      {
    '''abeja/gpt-neox-japanese-2.7b''': 2_0_4_8,
}





def lowerCamelCase      (      lowerCAmelCase    :     Optional[int]		,		lowerCAmelCase    :     Tuple		):





	"""simple docstring"""







	with open(lowerCAmelCase		,		'r'		,		encoding='utf-8'		) as f:
		__magic_name__	:   Optional[Any]					     =					json.loads(f.read()		)

	__magic_name__	:   str					     =					collections.OrderedDict()
	__magic_name__	:   Optional[int]					     =					collections.OrderedDict()
	__magic_name__	:   List[Any]					     =					collections.OrderedDict()
	with open(lowerCAmelCase		,		'r'		,		encoding='utf-8'		) as f:
		__magic_name__	:   Optional[int]					     =					f.readlines()
	__magic_name__	:   str					     =					[[t.rstrip('\n'		)] if (t == ',' or ',' not in t) else t.rstrip('\n'		).split(','		) for t in token]
	for idx, b in enumerate(lowerCAmelCase		):
		__magic_name__	:   int					     =					b
		__magic_name__	:   Dict					     =					idx
		for wd in b:
			__magic_name__	:   List[Any]					     =					idx

	return vocab, raw_vocab, ids_to_tokens, emoji
class _lowerCamelCase	(						lowercase__							):



		'''simple docstring'''







		A_     :      Optional[Any]				   =    VOCAB_FILES_NAMES
		A_     :      Any				   =    PRETRAINED_VOCAB_FILES_MAP
		A_     :      int				   =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		A_     :      List[Any]				   =    ["""input_ids""", """attention_mask"""]







		def __init__( self		:						Tuple  ,					_A		:						str  ,					_A		:						Tuple  ,					_A		:						Dict="<|endoftext|>"  ,					_A		:						List[str]="<|endoftext|>"  ,					_A		:						List[str]="<|startoftext|>"  ,					_A		:						List[Any]="<|endoftext|>"  ,					_A		:						Union[str, Any]=False  ,					**_A		:						int  ,					)  ->			List[str]:
			super().__init__(
			    unk_token=_A  ,					pad_token=_A  ,					bos_token=_A  ,					eos_token=_A  ,					do_clean_text=_A  ,					**_A  ,					)
			if not os.path.isfile(_A      ):
				raise ValueError(
				    F'Can\'t find a vocabulary file at path \'{vocab_file}\'. To load the vocabulary from a Google pretrained'
				    ' model use `tokenizer = GPTNeoXJapaneseokenizer.from_pretrained(PRETRAINED_MODEL_NAME)`'      )
			if not os.path.isfile(_A      ):
				raise ValueError(
				    F'Can\'t find a emoji file at path \'{emoji_file}\'. To load the emoji information from a Google'
				    ' pretrained model use `tokenizer = GPTNeoXJapaneseokenizer.from_pretrained(PRETRAINED_MODEL_NAME)`'      )
			__magic_name__	:   Any					     =					do_clean_text
			__magic_name__     ,    __magic_name__     ,    __magic_name__     ,    __magic_name__	:   int					     =					load_vocab_and_emoji(_A  ,					_A      )
			__magic_name__	:   Optional[Any]					     =					SubWordJapaneseTokenizer(
			    vocab=self.vocab  ,					ids_to_tokens=self.ids_to_tokens  ,					emoji=self.emoji      )







		@property
		def        __lowerCAmelCase		( self		:						int      )  ->			List[Any]:
			# self.vocab contains support for character fluctuation unique to Japanese, and has a large number of vocab
			return len(self.raw_vocab      )







		def        __lowerCAmelCase		( self		:						int      )  ->			Optional[Any]:
			return dict(self.raw_vocab  ,					**self.added_tokens_encoder      )







		def        __lowerCAmelCase		( self		:						Tuple  ,					_A		:						Any      )  ->			Union[str, Any]:
			return self.subword_tokenizer.tokenize(_A  ,					clean=self.do_clean_text      )







		def        __lowerCAmelCase		( self		:						List[str]  ,					_A		:						Union[str, Any]      )  ->			Optional[Any]:
			return self.vocab.get(_A  ,					self.vocab.get(self.unk_token      )      )







		def        __lowerCAmelCase		( self		:						Any  ,					_A		:						List[str]      )  ->			Dict:
			return self.subword_tokenizer.convert_id_to_token(_A      )







		def        __lowerCAmelCase		( self		:						Optional[Any]  ,					_A		:						Tuple      )  ->			Optional[Any]:
			__magic_name__	:   Any					     =					''.join(_A      ).strip()
			return out_string







		def        __lowerCAmelCase		( self		:						Dict  ,					_A		:						"Conversation"      )  ->			List[int]:
			__magic_name__	:   Union[str, Any]					     =					[]
			for is_user, text in conversation.iter_texts():
				input_ids.extend(self.encode(_A  ,					add_special_tokens=_A      ) + [self.eos_token_id]      )

			if len(_A      ) > self.model_max_length:
				__magic_name__	:   Tuple					     =					input_ids[-self.model_max_length :]
			return input_ids







		def        __lowerCAmelCase		( self		:						int  ,					_A		:						str  ,					_A		:						Optional[str] = None      )  ->			Tuple[str]:
			__magic_name__	:   Optional[Any]					     =					0
			if os.path.isdir(_A      ):
				__magic_name__	:   List[Any]					     =					os.path.join(
				    _A  ,					(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']      )
				__magic_name__	:   List[str]					     =					os.path.join(
				    _A  ,					(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['emoji_file']      )
			else:
				__magic_name__	:   List[str]					     =					(
				    (filename_prefix + '-' if filename_prefix else '') + save_directory + VOCAB_FILES_NAMES['vocab_file']
				)
				__magic_name__	:   Union[str, Any]					     =					(
				    (filename_prefix + '-' if filename_prefix else '') + save_directory + VOCAB_FILES_NAMES['emoji_file']
				)
			with open(_A  ,					'w'  ,					encoding='utf-8'      ) as writer:
				for token_index, token in self.ids_to_tokens.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!'      )
						__magic_name__	:   List[Any]					     =					token_index
					writer.write(','.join(_A      ) + '\n'      )
					index += 1
			with open(_A  ,					'w'  ,					encoding='utf-8'      ) as writer:
				json.dump(self.emoji  ,					_A      )
			return vocab_file, emoji_file







class _lowerCamelCase	(						lowercase__							):



		'''simple docstring'''







		def __init__( self		:						Optional[int]  ,					_A		:						List[str]  ,					_A		:						Dict  ,					_A		:						List[str]      )  ->			Optional[Any]:
			__magic_name__	:   List[str]					     =					vocab  # same as swe
			__magic_name__	:   Tuple					     =					ids_to_tokens  # same as bpe
			__magic_name__	:   Optional[int]					     =					emoji
			__magic_name__	:   Optional[int]					     =					np.max([len(_A      ) for w in self.vocab.keys()]      )
			__magic_name__	:   Tuple					     =					re.compile(R'(https?|ftp)(:\/\/[-_\.!~*\'()a-zA-Z0-9;\/?:\@&=\+$,%#]+)'      )
			__magic_name__	:   Union[str, Any]					     =					re.compile(R'[A-Za-z0-9\._+]*@[\-_0-9A-Za-z]+(\.[A-Za-z]+)*'      )
			__magic_name__	:   Optional[int]					     =					re.compile(R'[\(]{0,1}[0-9]{2,4}[\)\-\(]{0,1}[0-9]{2,4}[\)\-]{0,1}[0-9]{3,4}'      )
			__magic_name__	:   List[str]					     =					re.compile(
			    R'([12]\d{3}[/\-年])*(0?[1-9]|1[0-2])[/\-月]((0?[1-9]|[12][0-9]|3[01])日?)*(\d{1,2}|:|\d{1,2}時|\d{1,2}分|\(日\)|\(月\)|\(火\)|\(水\)|\(木\)|\(金\)|\(土\)|㈰|㈪|㈫|㈬|㈭|㈮|㈯)*'      )
			__magic_name__	:   Dict					     =					re.compile(
			    R'(明治|大正|昭和|平成|令和|㍾|㍽|㍼|㍻|\u32ff)\d{1,2}年(0?[1-9]|1[0-2])月(0?[1-9]|[12][0-9]|3[01])日(\d{1,2}|:|\d{1,2}時|\d{1,2}分|\(日\)|\(月\)|\(火\)|\(水\)|\(木\)|\(金\)|\(土\)|㈰|㈪|㈫|㈬|㈭|㈮|㈯)*'      )
			__magic_name__	:   Optional[int]					     =					re.compile(
			    R'((0|[1-9]\d*|[1-9]\d{0,2}(,\d{3})+)*億)*((0|[1-9]\d*|[1-9]\d{0,2}(,\d{3})+)*万)*((0|[1-9]\d*|[1-9]\d{0,2}(,\d{3})+)*千)*(0|[1-9]\d*|[1-9]\d{0,2}(,\d{3})+)*(千円|万円|千万円|円|千ドル|万ドル|千万ドル|ドル|千ユーロ|万ユーロ|千万ユーロ|ユーロ)+(\(税込\)|\(税抜\)|\+tax)*'      )
			__magic_name__	:   Union[str, Any]					     =					'─━│┃┄┅┆┇┈┉┊┋┌┍┎┏┐┑┒┓└┕┖┗┘┙┚┛├┝┞┟┠┡┢┣┤┥┦┧┨┩┪┫┬┭┮┯┰┱┲┳┴┵┶┷┸┹┺┻┼┽┾┿╀╁╂╃╄╅╆╇╈╉╊╋╌╍╎╏═║╒╓╔╕╖╗╘╙╚╛╜╝╞╟╠╡╢╣╤╥╦╧╨╩╪╫╬╭╮╯╰╱╲╳╴╵╶╷╸╹╺╻╼╽╾╿'
			__magic_name__	:   List[Any]					     =					'▀▁▂▃▄▅▆▇█▉▊▋▌▍▎▏▐░▒▓▔▕▖▗▘▙▚▛▜▝▞▟'
			__magic_name__	:   int					     =					str.maketrans({k: '<BLOCK>' for k in keisen + blocks}      )







		def __len__( self		:						int      )  ->			List[str]:
			return len(self.ids_to_tokens      )







		def        __lowerCAmelCase		( self		:						Union[str, Any]  ,					_A		:						Tuple      )  ->			List[str]:
			__magic_name__	:   List[str]					     =					self.content_repattera.sub('<URL>'  ,					_A      )
			__magic_name__	:   Union[str, Any]					     =					self.content_repattera.sub('<EMAIL>'  ,					_A      )
			__magic_name__	:   Any					     =					self.content_repattera.sub('<TEL>'  ,					_A      )
			__magic_name__	:   Dict					     =					self.content_repattera.sub('<DATE>'  ,					_A      )
			__magic_name__	:   Any					     =					self.content_repattera.sub('<DATE>'  ,					_A      )
			__magic_name__	:   str					     =					self.content_repattera.sub('<PRICE>'  ,					_A      )
			__magic_name__	:   Union[str, Any]					     =					content.translate(self.content_transa      )
			while "<BLOCK><BLOCK>" in content:
				__magic_name__	:   Dict					     =					content.replace('<BLOCK><BLOCK>'  ,					'<BLOCK>'      )
			return content







		def        __lowerCAmelCase		( self		:						Optional[int]  ,					_A		:						List[str]  ,					_A		:						Dict=False      )  ->			List[Any]:
			__magic_name__	:   int					     =					text.replace(' '  ,					'<SP>'      )
			__magic_name__	:   Any					     =					text.replace('　'  ,					'<SP>'      )
			__magic_name__	:   str					     =					text.replace('\r\n'  ,					'<BR>'      )
			__magic_name__	:   Tuple					     =					text.replace('\n'  ,					'<BR>'      )
			__magic_name__	:   Optional[int]					     =					text.replace('\r'  ,					'<BR>'      )
			__magic_name__	:   Tuple					     =					text.replace('\t'  ,					'<TAB>'      )
			__magic_name__	:   Tuple					     =					text.replace('—'  ,					'ー'      )
			__magic_name__	:   Dict					     =					text.replace('−'  ,					'ー'      )
			for k, v in self.emoji["emoji"].items():
				if k in text:
					__magic_name__	:   Union[str, Any]					     =					text.replace(_A  ,					_A      )
			if clean:
				__magic_name__	:   List[str]					     =					self.clean_text(_A      )

			def check_simbol(_A		:						Any      ):
				__magic_name__	:   Any					     =					x.encode()
				if len(_A      ) == 1 and len(_A      ) == 2:
					__magic_name__	:   int					     =					(int(e[0]      ) << 8) + int(e[1]      )
					if (
					    (c >= 0XC_2_A_1 and c <= 0XC_2_B_F)
					    or (c >= 0XC_7_8_0 and c <= 0XC_7_8_3)
					    or (c >= 0XC_A_B_9 and c <= 0XC_B_B_F)
					    or (c >= 0XC_C_8_0 and c <= 0XC_D_A_2)
					):
						return True
				return False

			def checkuae(_A		:						Tuple      ):
				__magic_name__	:   Dict					     =					x.encode()
				if len(_A      ) == 1 and len(_A      ) == 3:
					__magic_name__	:   str					     =					(int(e[0]      ) << 16) + (int(e[1]      ) << 8) + int(e[2]      )
					if c >= 0XE_2_8_0_8_0 and c <= 0XE_2_B_0_7_F:
						return True
				return False

			__magic_name__	:   List[Any]					     =					0
			__magic_name__	:   Union[str, Any]					     =					[]
			while pos < len(_A      ):
				__magic_name__	:   Tuple					     =					min(len(_A      )  ,					pos + self.maxlen + 1      ) if text[pos] == '<' else pos + 3
				__magic_name__	:   List[str]					     =					[]  # (token_id, token, pos)
				for e in range(_A  ,					_A  ,					-1      ):
					__magic_name__	:   List[Any]					     =					text[pos:e]
					if wd in self.vocab:
						if wd[0] == "<" and len(_A      ) > 2:
							__magic_name__	:   Union[str, Any]					     =					[(self.vocab[wd], wd, e)]
							break
						else:
							candidates.append((self.vocab[wd], wd, e)      )
				if len(_A      ) > 0:
					# the smallest token_id is adopted
					__magic_name__     ,    __magic_name__     ,    __magic_name__	:   Dict					     =					sorted(_A  ,					key=lambda _A      : x[0]      )[0]
					result.append(_A      )
					__magic_name__	:   int					     =					e
				else:
					__magic_name__	:   List[Any]					     =					pos + 1
					__magic_name__	:   Optional[Any]					     =					text[pos:end]
					if check_simbol(_A      ):
						result.append('<KIGOU>'      )
					elif checkuae(_A      ):
						result.append('<U2000U2BFF>'      )
					else:
						for i in wd.encode('utf-8'      ):
							result.append('<|byte%d|>' % i      )
					__magic_name__	:   List[str]					     =					end
			return result







		def        __lowerCAmelCase		( self		:						Optional[Any]  ,					_A		:						Optional[Any]  ,					_A		:						Optional[int]="\n"      )  ->			Tuple:
			__magic_name__	:   str					     =					[]
			__magic_name__	:   Tuple					     =					[]
			__magic_name__	:   Any					     =					self.ids_to_tokens[index][0]
			if word[:6] == "<|byte" and word[-2:] == "|>":
				byte_tokens.append(int(word[6:-2]      )      )
			else:
				if len(_A      ) > 0:
					words.append(bytearray(_A      ).decode('utf-8'  ,					errors='replace'      )      )
					__magic_name__	:   Optional[int]					     =					[]
				if word[:7] == "<|emoji" and word[-2:] == "|>":
					words.append(self.emoji['emoji_inv'][word]      )
				elif word == "<SP>":
					words.append(' '      )
				elif word == "<BR>":
					words.append(_A      )
				elif word == "<TAB>":
					words.append('\t'      )
				elif word == "<BLOCK>":
					words.append('▀'      )
				elif word == "<KIGOU>":
					words.append('ǀ'      )
				elif word == "<U2000U2BFF>":
					words.append('‖'      )
				else:
					words.append(_A      )
			if len(_A      ) > 0:
				words.append(bytearray(_A      ).decode('utf-8'  ,					errors='replace'      )      )
			__magic_name__	:   str					     =					''.join(_A      )
			return text



'''simple docstring'''

from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


lowerCAmelCase				:str        =      {
    '''configuration_vision_encoder_decoder''': ['''VisionEncoderDecoderConfig''', '''VisionEncoderDecoderOnnxConfig''']
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase				:List[str]        =      ['''VisionEncoderDecoderModel''']

try:
							if not is_tf_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase				:List[str]        =      ['''TFVisionEncoderDecoderModel''']

try:
							if not is_flax_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase				:Optional[Any]        =      ['''FlaxVisionEncoderDecoderModel''']

if TYPE_CHECKING:
							from .configuration_vision_encoder_decoder import VisionEncoderDecoderConfig, VisionEncoderDecoderOnnxConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_vision_encoder_decoder import VisionEncoderDecoderModel

							try:
														if not is_tf_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_tf_vision_encoder_decoder import TFVisionEncoderDecoderModel

							try:
														if not is_flax_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_flax_vision_encoder_decoder import FlaxVisionEncoderDecoderModel

else:
							import sys

							lowerCAmelCase				:Tuple        =      _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)