






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


__magic_name__:					Optional[Any]							=     {
    "configuration_graphormer": ["GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "GraphormerConfig"],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__magic_name__:					List[str]							=     [
		    "GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
		    "GraphormerForGraphClassification",
		    "GraphormerModel",
		    "GraphormerPreTrainedModel",
		]


if TYPE_CHECKING:
		from .configuration_graphormer import GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, GraphormerConfig

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_graphormer import (
				    GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
				    GraphormerForGraphClassification,
				    GraphormerModel,
				    GraphormerPreTrainedModel,
				)


else:
		import sys

		__magic_name__:					Tuple							=     _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)








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


__magic_name__:					int							=     logging.get_logger(__name__)

__magic_name__:					Any							=     {"vocab_file": "vocab.txt", "emoji_file": "emoji.json"}

__magic_name__:					Union[str, Any]							=     {
    "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",
    },
}

__magic_name__:					Optional[Any]							=     {
    "abeja/gpt-neox-japanese-2.7b": 2_048,
}

def    UpperCamelCase						(	_A,   _A			):






						"""simple docstring"""







						with open(_A,   """r""",   encoding="""utf-8"""			) as f:
												__magic_name__      :       Tuple       						= json.loads(f.read()			)

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

						return vocab, raw_vocab, ids_to_tokens, emoji





class 	snake_case__ (							_lowerCAmelCase				):
	lowercase__						:					Union[str, Any]											=   VOCAB_FILES_NAMES
	lowercase__						:					Optional[Any]											=   PRETRAINED_VOCAB_FILES_MAP
	lowercase__						:					Any											=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	lowercase__						:					List[str]											=   ['''input_ids''', '''attention_mask''']
	def __init__(    self      ,       lowerCAmelCase__      ,       lowerCAmelCase__      ,       lowerCAmelCase__="<|endoftext|>"      ,       lowerCAmelCase__="<|endoftext|>"      ,       lowerCAmelCase__="<|startoftext|>"      ,       lowerCAmelCase__="<|endoftext|>"      ,       lowerCAmelCase__=False      ,       **lowerCAmelCase__      ,       )							->				str:
							super().__init__(
							    unk_token=lowerCAmelCase__      ,       pad_token=lowerCAmelCase__      ,       bos_token=lowerCAmelCase__      ,       eos_token=lowerCAmelCase__      ,       do_clean_text=lowerCAmelCase__      ,       **lowerCAmelCase__      ,       )
							if not os.path.isfile(lowerCAmelCase__			):
													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(lowerCAmelCase__			):
													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__      :       Dict       						= do_clean_text
							__magic_name__						,__magic_name__						,__magic_name__						,__magic_name__      :       Union[str, Any]       						= load_vocab_and_emoji(lowerCAmelCase__      ,       lowerCAmelCase__			)
							__magic_name__      :       str       						= SubWordJapaneseTokenizer(
							    vocab=self.vocab      ,       ids_to_tokens=self.ids_to_tokens      ,       emoji=self.emoji			)
	@property
	def       __magic_name__    (    self			)							->				Union[str, Any]:
							# self.vocab contains support for character fluctuation unique to Japanese, and has a large number of vocab
							return len(self.raw_vocab			)
	def       __magic_name__    (    self			)							->				List[Any]:
							return dict(self.raw_vocab      ,       **self.added_tokens_encoder			)
	def       __magic_name__    (    self      ,       lowerCAmelCase__			)							->				Any:
							return self.subword_tokenizer.tokenize(lowerCAmelCase__      ,       clean=self.do_clean_text			)
	def       __magic_name__    (    self      ,       lowerCAmelCase__			)							->				int:
							return self.vocab.get(lowerCAmelCase__      ,       self.vocab.get(self.unk_token			)			)
	def       __magic_name__    (    self      ,       lowerCAmelCase__			)							->				Dict:
							return self.subword_tokenizer.convert_id_to_token(lowerCAmelCase__			)
	def       __magic_name__    (    self      ,       lowerCAmelCase__			)							->				Any:
							__magic_name__      :       int       						= """""".join(lowerCAmelCase__			).strip()
							return out_string
	def       __magic_name__    (    self      ,       lowerCAmelCase__			)							->				List[int]:
							__magic_name__      :       Optional[Any]       						= []
							for is_user, text in conversation.iter_texts():
													input_ids.extend(self.encode(lowerCAmelCase__      ,       add_special_tokens=lowerCAmelCase__			) + [self.eos_token_id]			)

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







	def       __magic_name__    (    self      ,       lowerCAmelCase__      ,       lowerCAmelCase__ = None			)							->				Tuple[str]:
							__magic_name__      :       Dict       						= 0
							if os.path.isdir(lowerCAmelCase__			):
													__magic_name__      :       Union[str, Any]       						= os.path.join(
													    lowerCAmelCase__      ,       (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]			)
													__magic_name__      :       Optional[Any]       						= os.path.join(
													    lowerCAmelCase__      ,       (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""emoji_file"""]			)
							else:
													__magic_name__      :       Optional[Any]       						= (
													    (filename_prefix + """-""" if filename_prefix else """""") + save_directory + VOCAB_FILES_NAMES["""vocab_file"""]
													)
													__magic_name__      :       Any       						= (
													    (filename_prefix + """-""" if filename_prefix else """""") + save_directory + VOCAB_FILES_NAMES["""emoji_file"""]
													)
							with open(lowerCAmelCase__      ,       """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__      :       Optional[Any]       						= token_index
																			writer.write(""",""".join(lowerCAmelCase__			) + """\n"""			)
																			index += 1
							with open(lowerCAmelCase__      ,       """w"""      ,       encoding="""utf-8"""			) as writer:
													json.dump(self.emoji      ,       lowerCAmelCase__			)
							return vocab_file, emoji_file





class 	snake_case__ (							_lowerCAmelCase				):
	def __init__(    self      ,       lowerCAmelCase__      ,       lowerCAmelCase__      ,       lowerCAmelCase__			)							->				str:
							__magic_name__      :       str       						= vocab  # same as swe
							__magic_name__      :       int       						= ids_to_tokens  # same as bpe
							__magic_name__      :       List[str]       						= emoji
							__magic_name__      :       Optional[Any]       						= np.max([len(lowerCAmelCase__			) for w in self.vocab.keys()]			)
							__magic_name__      :       str       						= re.compile(R"""(https?|ftp)(:\/\/[-_\.!~*\'()a-zA-Z0-9;\/?:\@&=\+$,%#]+)"""			)
							__magic_name__      :       str       						= re.compile(R"""[A-Za-z0-9\._+]*@[\-_0-9A-Za-z]+(\.[A-Za-z]+)*"""			)
							__magic_name__      :       Any       						= 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__      :       List[Any]       						= 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__      :       str       						= """─━│┃┄┅┆┇┈┉┊┋┌┍┎┏┐┑┒┓└┕┖┗┘┙┚┛├┝┞┟┠┡┢┣┤┥┦┧┨┩┪┫┬┭┮┯┰┱┲┳┴┵┶┷┸┹┺┻┼┽┾┿╀╁╂╃╄╅╆╇╈╉╊╋╌╍╎╏═║╒╓╔╕╖╗╘╙╚╛╜╝╞╟╠╡╢╣╤╥╦╧╨╩╪╫╬╭╮╯╰╱╲╳╴╵╶╷╸╹╺╻╼╽╾╿"""
							__magic_name__      :       Dict       						= """▀▁▂▃▄▅▆▇█▉▊▋▌▍▎▏▐░▒▓▔▕▖▗▘▙▚▛▜▝▞▟"""
							__magic_name__      :       Optional[int]       						= str.maketrans({k: """<BLOCK>""" for k in keisen + blocks}			)
	def __len__(    self			)							->				int:
							return len(self.ids_to_tokens			)
	def       __magic_name__    (    self      ,       lowerCAmelCase__			)							->				Optional[int]:
							__magic_name__      :       Any       						= self.content_repattera.sub("""<URL>"""      ,       lowerCAmelCase__			)
							__magic_name__      :       Any       						= self.content_repattera.sub("""<EMAIL>"""      ,       lowerCAmelCase__			)
							__magic_name__      :       Dict       						= self.content_repattera.sub("""<TEL>"""      ,       lowerCAmelCase__			)
							__magic_name__      :       Tuple       						= self.content_repattera.sub("""<DATE>"""      ,       lowerCAmelCase__			)
							__magic_name__      :       str       						= self.content_repattera.sub("""<DATE>"""      ,       lowerCAmelCase__			)
							__magic_name__      :       Tuple       						= self.content_repattera.sub("""<PRICE>"""      ,       lowerCAmelCase__			)
							__magic_name__      :       Dict       						= content.translate(self.content_transa			)
							while "<BLOCK><BLOCK>" in content:
													__magic_name__      :       str       						= content.replace("""<BLOCK><BLOCK>"""      ,       """<BLOCK>"""			)
							return content
	def       __magic_name__    (    self      ,       lowerCAmelCase__      ,       lowerCAmelCase__=False			)							->				Any:
							__magic_name__      :       Union[str, Any]       						= text.replace(""" """      ,       """<SP>"""			)
							__magic_name__      :       Optional[int]       						= text.replace("""　"""      ,       """<SP>"""			)
							__magic_name__      :       int       						= text.replace("""\r\n"""      ,       """<BR>"""			)
							__magic_name__      :       Optional[Any]       						= text.replace("""\n"""      ,       """<BR>"""			)
							__magic_name__      :       List[Any]       						= text.replace("""\r"""      ,       """<BR>"""			)
							__magic_name__      :       List[str]       						= text.replace("""\t"""      ,       """<TAB>"""			)
							__magic_name__      :       Optional[Any]       						= text.replace("""—"""      ,       """ー"""			)
							__magic_name__      :       int       						= text.replace("""−"""      ,       """ー"""			)
							for k, v in self.emoji["emoji"].items():
													if k in text:
																			__magic_name__      :       List[Any]       						= text.replace(lowerCAmelCase__      ,       lowerCAmelCase__			)
							if clean:
													__magic_name__      :       List[str]       						= self.clean_text(lowerCAmelCase__			)

							def check_simbol(lowerCAmelCase__			):
													__magic_name__      :       int       						= x.encode()
													if len(lowerCAmelCase__			) == 1 and len(lowerCAmelCase__			) == 2:
																			__magic_name__      :       str       						= (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(lowerCAmelCase__			):
													__magic_name__      :       List[Any]       						= x.encode()
													if len(lowerCAmelCase__			) == 1 and len(lowerCAmelCase__			) == 3:
																			__magic_name__      :       Dict       						= (int(e[0]			) << 16) + (int(e[1]			) << 8) + int(e[2]			)
																			if c >= 0Xe2_80_80 and c <= 0Xe2_b0_7f:
																									return True
													return False

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







	def       __magic_name__    (    self      ,       lowerCAmelCase__      ,       lowerCAmelCase__="\n"			)							->				Optional[int]:
							__magic_name__      :       Tuple       						= []
							__magic_name__      :       Tuple       						= []
							__magic_name__      :       str       						= self.ids_to_tokens[index][0]
							if word[:6] == "<|byte" and word[-2:] == "|>":
													byte_tokens.append(int(word[6:-2]			)			)
							else:
													if len(lowerCAmelCase__			) > 0:
																			words.append(bytearray(lowerCAmelCase__			).decode("""utf-8"""      ,       errors="""replace"""			)			)
																			__magic_name__      :       List[Any]       						= []
													if word[:7] == "<|emoji" and word[-2:] == "|>":
																			words.append(self.emoji["""emoji_inv"""][word]			)
													elif word == "<SP>":
																			words.append(""" """			)
													elif word == "<BR>":
																			words.append(lowerCAmelCase__			)
													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(lowerCAmelCase__			)
							if len(lowerCAmelCase__			) > 0:
													words.append(bytearray(lowerCAmelCase__			).decode("""utf-8"""      ,       errors="""replace"""			)			)
							__magic_name__      :       Union[str, Any]       						= """""".join(lowerCAmelCase__			)
							return text
