
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


lowercase__	:List[str]										=					logging.get_logger(__name__)

lowercase__	:List[str]										=					{"vocab_file": "vocab.txt", "emoji_file": "emoji.json"}

lowercase__	:Dict										=					{
    "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",
    },
}

lowercase__	:Optional[Any]										=					{
    "abeja/gpt-neox-japanese-2.7b": 2048,
}



def  UpperCamelCase					(							lowerCAmelCase__				,    lowerCAmelCase__	):
					'''simple docstring'''
					with open(lowerCAmelCase__				,    '''r'''				,    encoding='''utf-8'''	) as f:
										lowercase					=		json.loads(f.read()	)

					lowercase					=		collections.OrderedDict()
					lowercase					=		collections.OrderedDict()
					lowercase					=		collections.OrderedDict()
					with open(lowerCAmelCase__				,    '''r'''				,    encoding='''utf-8'''	) as f:
										lowercase					=		f.readlines()
					lowercase					=		[[t.rstrip('''\n'''	)] if (t == ''',''' or ''',''' not in t) else t.rstrip('''\n'''	).split(''','''	) for t in token]
					for idx, b in enumerate(lowerCAmelCase__	):
										lowercase					=		b
										lowercase					=		idx
										for wd in b:
															lowercase					=		idx

					return vocab, raw_vocab, ids_to_tokens, emoji







class        lowercase	(      SCREAMING_SNAKE_CASE__	):
							lowercase_ : Union[str, Any]       =VOCAB_FILES_NAMES
							lowercase_ : Any       =PRETRAINED_VOCAB_FILES_MAP
							lowercase_ : Optional[int]       =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowercase_ : Tuple       =['''input_ids''', '''attention_mask''']




							def __init__(       self     ,A__     ,A__     ,A__="<|endoftext|>"     ,A__="<|endoftext|>"     ,A__="<|startoftext|>"     ,A__="<|endoftext|>"     ,A__=False     ,**A__     ,):
												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)`''')
												lowercase					=		do_clean_text
												lowercase			,		lowercase			,		lowercase			,		lowercase					=		load_vocab_and_emoji(A__     ,A__)
												lowercase					=		SubWordJapaneseTokenizer(
												    vocab=self.vocab     ,ids_to_tokens=self.ids_to_tokens     ,emoji=self.emoji)




							@property
							def 				A__   (       self):
												# self.vocab contains support for character fluctuation unique to Japanese, and has a large number of vocab
												return len(self.raw_vocab)




							def 				A__   (       self):
												return dict(self.raw_vocab     ,**self.added_tokens_encoder)




							def 				A__   (       self     ,A__):
												return self.subword_tokenizer.tokenize(A__     ,clean=self.do_clean_text)




							def 				A__   (       self     ,A__):
												return self.vocab.get(A__     ,self.vocab.get(self.unk_token))




							def 				A__   (       self     ,A__):
												return self.subword_tokenizer.convert_id_to_token(A__)




							def 				A__   (       self     ,A__):
												lowercase					=		''''''.join(A__).strip()
												return out_string




							def 				A__   (       self     ,A__):
												lowercase					=		[]
												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:
																	lowercase					=		input_ids[-self.model_max_length :]
												return input_ids





							def 				A__   (       self     ,A__     ,A__ = None):
												lowercase					=		0
												if os.path.isdir(A__):
																	lowercase					=		os.path.join(
																	    A__     ,(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file'''])
																	lowercase					=		os.path.join(
																	    A__     ,(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''emoji_file'''])
												else:
																	lowercase					=		(
																	    (filename_prefix + '''-''' if filename_prefix else '''''') + save_directory + VOCAB_FILES_NAMES['''vocab_file''']
																	)
																	lowercase					=		(
																	    (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!''')
																											lowercase					=		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        lowercase	(      SCREAMING_SNAKE_CASE__	):




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




							def __len__(       self):
												return len(self.ids_to_tokens)




							def 				A__   (       self     ,A__):
												lowercase					=		self.content_repattera.sub('''<URL>'''     ,A__)
												lowercase					=		self.content_repattera.sub('''<EMAIL>'''     ,A__)
												lowercase					=		self.content_repattera.sub('''<TEL>'''     ,A__)
												lowercase					=		self.content_repattera.sub('''<DATE>'''     ,A__)
												lowercase					=		self.content_repattera.sub('''<DATE>'''     ,A__)
												lowercase					=		self.content_repattera.sub('''<PRICE>'''     ,A__)
												lowercase					=		content.translate(self.content_transa)
												while "<BLOCK><BLOCK>" in content:
																	lowercase					=		content.replace('''<BLOCK><BLOCK>'''     ,'''<BLOCK>''')
												return content




							def 				A__   (       self     ,A__     ,A__=False):
												lowercase					=		text.replace(''' '''     ,'''<SP>''')
												lowercase					=		text.replace('''　'''     ,'''<SP>''')
												lowercase					=		text.replace('''\r\n'''     ,'''<BR>''')
												lowercase					=		text.replace('''\n'''     ,'''<BR>''')
												lowercase					=		text.replace('''\r'''     ,'''<BR>''')
												lowercase					=		text.replace('''\t'''     ,'''<TAB>''')
												lowercase					=		text.replace('''—'''     ,'''ー''')
												lowercase					=		text.replace('''−'''     ,'''ー''')
												for k, v in self.emoji["emoji"].items():
																	if k in text:
																						lowercase					=		text.replace(A__     ,A__)
												if clean:
																	lowercase					=		self.clean_text(A__)

												def check_simbol(A__):
																	lowercase					=		x.encode()
																	if len(A__) == 1 and len(A__) == 2:
																						lowercase					=		(int(e[0]) << 8) + int(e[1])
																						if (
																						    (c >= 0Xc2_a1 and c <= 0Xc2_bf)
																						    or (c >= 0Xc7_80 and c <= 0Xc7_83)
																						    or (c >= 0Xca_b9 and c <= 0Xcb_bf)
																						    or (c >= 0Xcc_80 and c <= 0Xcd_a2)
																						):
																											return True
																	return False

												def checkuae(A__):
																	lowercase					=		x.encode()
																	if len(A__) == 1 and len(A__) == 3:
																						lowercase					=		(int(e[0]) << 1_6) + (int(e[1]) << 8) + int(e[2])
																						if c >= 0Xe2_80_80 and c <= 0Xe2_b0_7f:
																											return True
																	return False

												lowercase					=		0
												lowercase					=		[]
												while pos < len(A__):
																	lowercase					=		min(len(A__)     ,pos + self.maxlen + 1) if text[pos] == '''<''' else pos + 3
																	lowercase					=		[]  # (token_id, token, pos)
																	for e in range(A__     ,A__     ,-1):
																						lowercase					=		text[pos:e]
																						if wd in self.vocab:
																											if wd[0] == "<" and len(A__) > 2:
																																lowercase					=		[(self.vocab[wd], wd, e)]
																																break
																											else:
																																candidates.append((self.vocab[wd], wd, e))
																	if len(A__) > 0:
																						# the smallest token_id is adopted
																						lowercase			,		lowercase			,		lowercase					=		sorted(A__     ,key=lambda A__: x[0])[0]
																						result.append(A__)
																						lowercase					=		e
																	else:
																						lowercase					=		pos + 1
																						lowercase					=		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)
																						lowercase					=		end
												return result





							def 				A__   (       self     ,A__     ,A__="\n"):
												lowercase					=		[]
												lowercase					=		[]
												lowercase					=		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'''))
																						lowercase					=		[]
																	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'''))
												lowercase					=		''''''.join(A__)
												return text






import logging

from transformers import PretrainedConfig


lowercase__	:int										=					logging.getLogger(__name__)


lowercase__	:Dict										=					{
    "bertabs-finetuned-cnndm": "https://huggingface.co/remi/bertabs-finetuned-cnndm-extractive-abstractive-summarization/resolve/main/config.json",
}







class        lowercase	(      SCREAMING_SNAKE_CASE__	):
							lowercase_ : Optional[int]       ='''bertabs'''




							def __init__(       self     ,A__=3_0_5_2_2     ,A__=5_1_2     ,A__=6     ,A__=5_1_2     ,A__=8     ,A__=5_1_2     ,A__=0.2     ,A__=6     ,A__=7_6_8     ,A__=8     ,A__=2_0_4_8     ,A__=0.2     ,**A__     ,):
												super().__init__(**A__)

												lowercase					=		vocab_size
												lowercase					=		max_pos

												lowercase					=		enc_layers
												lowercase					=		enc_hidden_size
												lowercase					=		enc_heads
												lowercase					=		enc_ff_size
												lowercase					=		enc_dropout

												lowercase					=		dec_layers
												lowercase					=		dec_hidden_size
												lowercase					=		dec_heads
												lowercase					=		dec_ff_size
												lowercase					=		dec_dropout




