

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							       =logging.get_logger(__name__)

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

_lowerCamelCase							       ={
    "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							       ={
    "abeja/gpt-neox-japanese-2.7b": 20_48,
}







def 			snake_case__				(   lowerCAmelCase_,    lowerCAmelCase_			):





     """simple docstring"""







     with open(lowercase__,    'r',    encoding='utf-8'			) as f:
          SCREAMING_SNAKE_CASE      						=json.loads(f.read()			)

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

     return vocab, raw_vocab, ids_to_tokens, emoji



class 		a_       (							A_     ):



      """simple docstring"""







      __UpperCAmelCase					=      VOCAB_FILES_NAMES
      __UpperCAmelCase					=      PRETRAINED_VOCAB_FILES_MAP
      __UpperCAmelCase					=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      __UpperCAmelCase					=      ['''input_ids''', '''attention_mask''']
      def __init__(      self     :							List[str]			,snake_case     :							Optional[Any]			,snake_case     :							Union[str, Any]			,snake_case     :							str="<|endoftext|>"			,snake_case     :							Union[str, Any]="<|endoftext|>"			,snake_case     :							str="<|startoftext|>"			,snake_case     :							str="<|endoftext|>"			,snake_case     :							Union[str, Any]=False			,**snake_case     :							Optional[int]			,):
           super().__init__(
               unk_token=snake_case			,pad_token=snake_case			,bos_token=snake_case			,eos_token=snake_case			,do_clean_text=snake_case			,**snake_case			,)
           if not os.path.isfile(snake_case				):
                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(snake_case				):
                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)`'				)
           SCREAMING_SNAKE_CASE      						=do_clean_text
           SCREAMING_SNAKE_CASE						,  SCREAMING_SNAKE_CASE						,  SCREAMING_SNAKE_CASE						,  SCREAMING_SNAKE_CASE      						=load_vocab_and_emoji(snake_case			,snake_case				)
           SCREAMING_SNAKE_CASE      						=SubWordJapaneseTokenizer(
               vocab=self.vocab			,ids_to_tokens=self.ids_to_tokens			,emoji=self.emoji				)
      @property
      def        _lowerCAmelCase     (      self     :							int				):
           # 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     :							Tuple				):
           return dict(self.raw_vocab			,**self.added_tokens_encoder				)
      def        _lowerCAmelCase     (      self     :							Any			,snake_case     :							Union[str, Any]				):
           return self.subword_tokenizer.tokenize(snake_case			,clean=self.do_clean_text				)
      def        _lowerCAmelCase     (      self     :							List[str]			,snake_case     :							str				):
           return self.vocab.get(snake_case			,self.vocab.get(self.unk_token				)				)
      def        _lowerCAmelCase     (      self     :							Any			,snake_case     :							Tuple				):
           return self.subword_tokenizer.convert_id_to_token(snake_case				)
      def        _lowerCAmelCase     (      self     :							List[str]			,snake_case     :							Optional[int]				):
           SCREAMING_SNAKE_CASE      						=''.join(snake_case				).strip()
           return out_string
      def        _lowerCAmelCase     (      self     :							Any			,snake_case     :							Union[str, Any]				):
           SCREAMING_SNAKE_CASE      						=[]
           for is_user, text in conversation.iter_texts():
                input_ids.extend(self.encode(snake_case			,add_special_tokens=snake_case				) + [self.eos_token_id]				)

           if len(snake_case				) > self.model_max_length:
                SCREAMING_SNAKE_CASE      						=input_ids[-self.model_max_length :]
           return input_ids


      def        _lowerCAmelCase     (      self     :							List[str]			,snake_case     :							List[str]			,snake_case     :							str = None				):
           SCREAMING_SNAKE_CASE      						=0
           if os.path.isdir(snake_case				):
                SCREAMING_SNAKE_CASE      						=os.path.join(
                    snake_case			,(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']				)
                SCREAMING_SNAKE_CASE      						=os.path.join(
                    snake_case			,(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['emoji_file']				)
           else:
                SCREAMING_SNAKE_CASE      						=(
                    (filename_prefix + '-' if filename_prefix else '') + save_directory + VOCAB_FILES_NAMES['vocab_file']
                )
                SCREAMING_SNAKE_CASE      						=(
                    (filename_prefix + '-' if filename_prefix else '') + save_directory + VOCAB_FILES_NAMES['emoji_file']
                )
           with open(snake_case			,'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!'				)
                          SCREAMING_SNAKE_CASE      						=token_index
                     writer.write(','.join(snake_case				) + '\n'				)
                     index += 1
           with open(snake_case			,'w'			,encoding='utf-8'				) as writer:
                json.dump(self.emoji			,snake_case				)
           return vocab_file, emoji_file







class 		a_       (							A_     ):



      """simple docstring"""







      def __init__(      self     :							Union[str, Any]			,snake_case     :							int			,snake_case     :							Optional[int]			,snake_case     :							int				):
           SCREAMING_SNAKE_CASE      						=vocab  # same as swe
           SCREAMING_SNAKE_CASE      						=ids_to_tokens  # same as bpe
           SCREAMING_SNAKE_CASE      						=emoji
           SCREAMING_SNAKE_CASE      						=np.max([len(snake_case				) for w in self.vocab.keys()]				)
           SCREAMING_SNAKE_CASE      						=re.compile(r'(https?|ftp)(:\/\/[-_\.!~*\'()a-zA-Z0-9;\/?:\@&=\+$,%#]+)'				)
           SCREAMING_SNAKE_CASE      						=re.compile(r'[A-Za-z0-9\._+]*@[\-_0-9A-Za-z]+(\.[A-Za-z]+)*'				)
           SCREAMING_SNAKE_CASE      						=re.compile(r'[\(]{0,1}[0-9]{2,4}[\)\-\(]{0,1}[0-9]{2,4}[\)\-]{0,1}[0-9]{3,4}'				)
           SCREAMING_SNAKE_CASE      						=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|\(日\)|\(月\)|\(火\)|\(水\)|\(木\)|\(金\)|\(土\)|㈰|㈪|㈫|㈬|㈭|㈮|㈯)*'				)
           SCREAMING_SNAKE_CASE      						=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|\(日\)|\(月\)|\(火\)|\(水\)|\(木\)|\(金\)|\(土\)|㈰|㈪|㈫|㈬|㈭|㈮|㈯)*'				)
           SCREAMING_SNAKE_CASE      						=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)*'				)
           SCREAMING_SNAKE_CASE      						='─━│┃┄┅┆┇┈┉┊┋┌┍┎┏┐┑┒┓└┕┖┗┘┙┚┛├┝┞┟┠┡┢┣┤┥┦┧┨┩┪┫┬┭┮┯┰┱┲┳┴┵┶┷┸┹┺┻┼┽┾┿╀╁╂╃╄╅╆╇╈╉╊╋╌╍╎╏═║╒╓╔╕╖╗╘╙╚╛╜╝╞╟╠╡╢╣╤╥╦╧╨╩╪╫╬╭╮╯╰╱╲╳╴╵╶╷╸╹╺╻╼╽╾╿'
           SCREAMING_SNAKE_CASE      						='▀▁▂▃▄▅▆▇█▉▊▋▌▍▎▏▐░▒▓▔▕▖▗▘▙▚▛▜▝▞▟'
           SCREAMING_SNAKE_CASE      						=str.maketrans({k: '<BLOCK>' for k in keisen + blocks}				)
      def __len__(      self     :							List[Any]				):
           return len(self.ids_to_tokens				)
      def        _lowerCAmelCase     (      self     :							List[str]			,snake_case     :							int				):
           SCREAMING_SNAKE_CASE      						=self.content_repattera.sub('<URL>'			,snake_case				)
           SCREAMING_SNAKE_CASE      						=self.content_repattera.sub('<EMAIL>'			,snake_case				)
           SCREAMING_SNAKE_CASE      						=self.content_repattera.sub('<TEL>'			,snake_case				)
           SCREAMING_SNAKE_CASE      						=self.content_repattera.sub('<DATE>'			,snake_case				)
           SCREAMING_SNAKE_CASE      						=self.content_repattera.sub('<DATE>'			,snake_case				)
           SCREAMING_SNAKE_CASE      						=self.content_repattera.sub('<PRICE>'			,snake_case				)
           SCREAMING_SNAKE_CASE      						=content.translate(self.content_transa				)
           while "<BLOCK><BLOCK>" in content:
                SCREAMING_SNAKE_CASE      						=content.replace('<BLOCK><BLOCK>'			,'<BLOCK>'				)
           return content
      def        _lowerCAmelCase     (      self     :							List[str]			,snake_case     :							Optional[Any]			,snake_case     :							Optional[int]=False				):
           SCREAMING_SNAKE_CASE      						=text.replace(' '			,'<SP>'				)
           SCREAMING_SNAKE_CASE      						=text.replace('　'			,'<SP>'				)
           SCREAMING_SNAKE_CASE      						=text.replace('\r\n'			,'<BR>'				)
           SCREAMING_SNAKE_CASE      						=text.replace('\n'			,'<BR>'				)
           SCREAMING_SNAKE_CASE      						=text.replace('\r'			,'<BR>'				)
           SCREAMING_SNAKE_CASE      						=text.replace('\t'			,'<TAB>'				)
           SCREAMING_SNAKE_CASE      						=text.replace('—'			,'ー'				)
           SCREAMING_SNAKE_CASE      						=text.replace('−'			,'ー'				)
           for k, v in self.emoji["emoji"].items():
                if k in text:
                     SCREAMING_SNAKE_CASE      						=text.replace(snake_case			,snake_case				)
           if clean:
                SCREAMING_SNAKE_CASE      						=self.clean_text(snake_case				)

           def check_simbol(snake_case     :							str				):
                SCREAMING_SNAKE_CASE      						=x.encode()
                if len(snake_case				) == 1 and len(snake_case				) == 2:
                     SCREAMING_SNAKE_CASE      						=(int(e[0]				) << 8) + int(e[1]				)
                     if (
                         (c >= 0XC_2A1 and c <= 0XC_2BF)
                         or (c >= 0XC_780 and c <= 0XC_783)
                         or (c >= 0XC_AB9 and c <= 0XC_BBF)
                         or (c >= 0XC_C80 and c <= 0XC_DA2)
                     ):
                          return True
                return False

           def checkuae(snake_case     :							Optional[Any]				):
                SCREAMING_SNAKE_CASE      						=x.encode()
                if len(snake_case				) == 1 and len(snake_case				) == 3:
                     SCREAMING_SNAKE_CASE      						=(int(e[0]				) << 16) + (int(e[1]				) << 8) + int(e[2]				)
                     if c >= 0XE28_080 and c <= 0XE2B_07F:
                          return True
                return False

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


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





import argparse
import importlib
from pathlib import Path


# Test all the extensions added in the setup
lowerCAmelCase           =		[
    '''kernels/rwkv/wkv_cuda.cu''',
    '''kernels/rwkv/wkv_op.cpp''',
    '''kernels/deformable_detr/ms_deform_attn.h''',
    '''kernels/deformable_detr/cuda/ms_deform_im2col_cuda.cuh''',
    '''models/graphormer/algos_graphormer.pyx''',
]







def        _lowerCamelCase(	lowercase__	)						->	str:

		'''simple docstring'''







		for file in FILES_TO_FIND:
				if not (transformers_path / file).exists():
						return False
		return True


if __name__ == "__main__":
	lowerCAmelCase           =		argparse.ArgumentParser()
	parser.add_argument('''--check_lib''', action='''store_true''', help='''Whether to check the build or the actual package.''')
	lowerCAmelCase           =		parser.parse_args()
	if args.check_lib:
		lowerCAmelCase           =		importlib.import_module('''transformers''')
		lowerCAmelCase           =		Path(transformers_module.__file__).parent
	else:
		lowerCAmelCase           =		Path.cwd() / '''build/lib/transformers'''
	if not test_custom_files_are_present(transformers_path):
		raise ValueError('''The built release does not contain the custom files. Fix this before going further!''')






