






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

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

lowerCamelCase      :       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''',
    },
}

lowerCamelCase      :       Tuple    =						{
    '''abeja/gpt-neox-japanese-2.7b''': 2048,
}





def    __lowerCAmelCase   (    __snake_case       ,			__snake_case							):
     with open(__snake_case       ,			"r"       ,			encoding="utf-8"							) as f:
          __lowerCAmelCase             =       json.loads(f.read()							)

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

     return vocab, raw_vocab, ids_to_tokens, emoji



class 				_UpperCamelCase      (a_      ):
      snake_case_	=				VOCAB_FILES_NAMES
      snake_case_	=				PRETRAINED_VOCAB_FILES_MAP
      snake_case_	=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      snake_case_	=				["""input_ids""", """attention_mask"""]


      def __init__(						self       ,    __UpperCamelCase       ,    __UpperCamelCase       ,    __UpperCamelCase="<|endoftext|>"       ,    __UpperCamelCase="<|endoftext|>"       ,    __UpperCamelCase="<|startoftext|>"       ,    __UpperCamelCase="<|endoftext|>"       ,    __UpperCamelCase=False       ,    **__UpperCamelCase       ,    )->						int:
           super().__init__(
               unk_token=__UpperCamelCase       ,    pad_token=__UpperCamelCase       ,    bos_token=__UpperCamelCase       ,    eos_token=__UpperCamelCase       ,    do_clean_text=__UpperCamelCase       ,    **__UpperCamelCase       ,    )
           if not os.path.isfile(__UpperCamelCase						):
                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(__UpperCamelCase						):
                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)`"						)
           __lowerCAmelCase             =       do_clean_text
           __lowerCAmelCase      ,			__lowerCAmelCase      ,			__lowerCAmelCase      ,			__lowerCAmelCase             =       load_vocab_and_emoji(__UpperCamelCase       ,    __UpperCamelCase						)
           __lowerCAmelCase             =       SubWordJapaneseTokenizer(
               vocab=self.vocab       ,    ids_to_tokens=self.ids_to_tokens       ,    emoji=self.emoji						)


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


      def 			__UpperCAmelCase		(						self						)->						Tuple:
           return dict(self.raw_vocab       ,    **self.added_tokens_encoder						)


      def 			__UpperCAmelCase		(						self       ,    __UpperCamelCase						)->						Any:
           return self.subword_tokenizer.tokenize(__UpperCamelCase       ,    clean=self.do_clean_text						)


      def 			__UpperCAmelCase		(						self       ,    __UpperCamelCase						)->						List[Any]:
           return self.vocab.get(__UpperCamelCase       ,    self.vocab.get(self.unk_token						)						)


      def 			__UpperCAmelCase		(						self       ,    __UpperCamelCase						)->						int:
           return self.subword_tokenizer.convert_id_to_token(__UpperCamelCase						)


      def 			__UpperCAmelCase		(						self       ,    __UpperCamelCase						)->						List[str]:
           __lowerCAmelCase             =       "".join(__UpperCamelCase						).strip()
           return out_string


      def 			__UpperCAmelCase		(						self       ,    __UpperCamelCase						)->						List[int]:
           __lowerCAmelCase             =       []
           for is_user, text in conversation.iter_texts():
                input_ids.extend(self.encode(__UpperCamelCase       ,    add_special_tokens=__UpperCamelCase						) + [self.eos_token_id]						)

           if len(__UpperCamelCase						) > self.model_max_length:
                __lowerCAmelCase             =       input_ids[-self.model_max_length :]
           return input_ids


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



class 				_UpperCamelCase      (a_      ):


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


      def __len__(						self						)->						Tuple:
           return len(self.ids_to_tokens						)


      def 			__UpperCAmelCase		(						self       ,    __UpperCamelCase						)->						List[str]:
           __lowerCAmelCase             =       self.content_repattera.sub("<URL>"       ,    __UpperCamelCase						)
           __lowerCAmelCase             =       self.content_repattera.sub("<EMAIL>"       ,    __UpperCamelCase						)
           __lowerCAmelCase             =       self.content_repattera.sub("<TEL>"       ,    __UpperCamelCase						)
           __lowerCAmelCase             =       self.content_repattera.sub("<DATE>"       ,    __UpperCamelCase						)
           __lowerCAmelCase             =       self.content_repattera.sub("<DATE>"       ,    __UpperCamelCase						)
           __lowerCAmelCase             =       self.content_repattera.sub("<PRICE>"       ,    __UpperCamelCase						)
           __lowerCAmelCase             =       content.translate(self.content_transa						)
           while "<BLOCK><BLOCK>" in content:
                __lowerCAmelCase             =       content.replace("<BLOCK><BLOCK>"       ,    "<BLOCK>"						)
           return content


      def 			__UpperCAmelCase		(						self       ,    __UpperCamelCase       ,    __UpperCamelCase=False						)->						Optional[Any]:
           __lowerCAmelCase             =       text.replace(" "       ,    "<SP>"						)
           __lowerCAmelCase             =       text.replace("　"       ,    "<SP>"						)
           __lowerCAmelCase             =       text.replace("\r\n"       ,    "<BR>"						)
           __lowerCAmelCase             =       text.replace("\n"       ,    "<BR>"						)
           __lowerCAmelCase             =       text.replace("\r"       ,    "<BR>"						)
           __lowerCAmelCase             =       text.replace("\t"       ,    "<TAB>"						)
           __lowerCAmelCase             =       text.replace("—"       ,    "ー"						)
           __lowerCAmelCase             =       text.replace("−"       ,    "ー"						)
           for k, v in self.emoji["emoji"].items():
                if k in text:
                     __lowerCAmelCase             =       text.replace(__UpperCamelCase       ,    __UpperCamelCase						)
           if clean:
                __lowerCAmelCase             =       self.clean_text(__UpperCamelCase						)

           def check_simbol(__UpperCamelCase						):
                __lowerCAmelCase             =       x.encode()
                if len(__UpperCamelCase						) == 1 and len(__UpperCamelCase						) == 2:
                     __lowerCAmelCase             =       (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(__UpperCamelCase						):
                __lowerCAmelCase             =       x.encode()
                if len(__UpperCamelCase						) == 1 and len(__UpperCamelCase						) == 3:
                     __lowerCAmelCase             =       (int(e[0]						) << 1_6) + (int(e[1]						) << 8) + int(e[2]						)
                     if c >= 0xE28_080 and c <= 0xE2B_07F:
                          return True
                return False

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


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














from typing import TYPE_CHECKING

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


lowerCamelCase      :       List[Any]    =						{
    '''configuration_owlvit''': [
        '''OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''OwlViTConfig''',
        '''OwlViTOnnxConfig''',
        '''OwlViTTextConfig''',
        '''OwlViTVisionConfig''',
    ],
    '''processing_owlvit''': ['''OwlViTProcessor'''],
}


try:
 if not is_vision_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase      :       List[Any]    =						['''OwlViTFeatureExtractor''']
 lowerCamelCase      :       str    =						['''OwlViTImageProcessor''']

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase      :       List[str]    =						[
     '''OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST''',
     '''OwlViTModel''',
     '''OwlViTPreTrainedModel''',
     '''OwlViTTextModel''',
     '''OwlViTVisionModel''',
     '''OwlViTForObjectDetection''',
 ]

if TYPE_CHECKING:
 from .configuration_owlvit import (
     OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP,
     OwlViTConfig,
     OwlViTOnnxConfig,
     OwlViTTextConfig,
     OwlViTVisionConfig,
 )
 from .processing_owlvit import OwlViTProcessor

 try:
  if not is_vision_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .feature_extraction_owlvit import OwlViTFeatureExtractor
  from .image_processing_owlvit import OwlViTImageProcessor

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_owlvit import (
      OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
      OwlViTForObjectDetection,
      OwlViTModel,
      OwlViTPreTrainedModel,
      OwlViTTextModel,
      OwlViTVisionModel,
  )

else:
 import sys

 lowerCamelCase      :       List[str]    =						_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)






