




import bza
import gzip
import lzma
import os
import shutil
import struct
import tarfile
import warnings
import zipfile
from abc import ABC, abstractmethod
from pathlib import Path
from typing import Dict, List, Optional, Type, Union

from .. import config
from .filelock import FileLock
from .logging import get_logger


__lowerCAmelCase	:       Union[str, Any]     =	get_logger(__name__)




class 					snake_case__							:
    """simple docstring"""



    def __init__(   self       :  Dict      ,   __lowerCamelCase       :  Optional[str] = None							)      ->  Tuple:
       a					=    (
           os.path.join(__a      ,   config.EXTRACTED_DATASETS_DIR							) if cache_dir else config.EXTRACTED_DATASETS_PATH
       )
       a					=    Extractor





    def 							__UpperCAmelCase							(   self       :  Optional[int]      ,   __lowerCamelCase       :  str							)      ->  str:
       from .file_utils import hash_url_to_filename

       # Path where we extract compressed archives
       # We extract in the cache dir, and get the extracted path name by hashing the original path"
       a					=    os.path.abspath(__a							)
       return os.path.join(self.extract_dir      ,   hash_url_to_filename(__a							)							)





    def 							__UpperCAmelCase							(   self       :  str      ,   __lowerCamelCase       :  str      ,   __lowerCamelCase       :  bool							)      ->  bool:
       return force_extract or (
           not os.path.isfile(__a							) and not (os.path.isdir(__a							) and os.listdir(__a							))
       )





    def 							__UpperCAmelCase							(   self       :  str      ,   __lowerCamelCase       :  str      ,   __lowerCamelCase       :  bool = False							)      ->  str:
       a					=    self.extractor.infer_extractor_format(__a							)
       if not extractor_format:
          return input_path
       a					=    self._get_output_path(__a							)
       if self._do_extract(__a      ,   __a							):
          self.extractor.extract(__a      ,   __a      ,   __a							)
       return output_path




class 					snake_case__							(__lowercase     ):
    """simple docstring"""



    @classmethod
    @abstractmethod
    def 							__UpperCAmelCase							(   cls       :  Union[str, Any]      ,   __lowerCamelCase       :  Union[Path, str]      ,   **__lowerCamelCase       :  Union[str, Any]							)      ->  bool:
       ...





    @staticmethod
    @abstractmethod
    def 							__UpperCAmelCase							(   __lowerCamelCase       :  Union[Path, str]      ,   __lowerCamelCase       :  Union[Path, str]							)      ->  None:
       ...




class 					snake_case__							(__lowercase					, __lowercase     ):
    """simple docstring"""



    SCREAMING_SNAKE_CASE_ :							List[bytes]											=      []





    @staticmethod
    def 							__UpperCAmelCase							(   __lowerCamelCase       :  Union[Path, str]      ,   __lowerCamelCase       :  int							)      ->  List[Any]:
       with open(__a      ,   "rb"							) as f:
          return f.read(__a							)





    @classmethod
    def 							__UpperCAmelCase							(   cls       :  Dict      ,   __lowerCamelCase       :  Union[Path, str]      ,   __lowerCamelCase       :  bytes = b""							)      ->  bool:
       if not magic_number:
          a					=    max(len(__a							) for cls_magic_number in cls.magic_numbers							)
          try:
             a					=    cls.read_magic_number(__a      ,   __a							)
          except OSError:
             return False
       return any(magic_number.startswith(__a							) for cls_magic_number in cls.magic_numbers							)




class 					snake_case__							(__lowercase     ):
    """simple docstring"""



    @classmethod
    def 							__UpperCAmelCase							(   cls       :  Any      ,   __lowerCamelCase       :  Union[Path, str]      ,   **__lowerCamelCase       :  Dict							)      ->  bool:
       return tarfile.is_tarfile(__a							)





    @staticmethod
    def 							__UpperCAmelCase							(   __lowerCamelCase       :  Any      ,   __lowerCamelCase       :  Any							)      ->  int:

       def resolved(__lowerCamelCase       :  str							) -> str:
          return os.path.realpath(os.path.abspath(__a							)							)

       def badpath(__lowerCamelCase       :  str      ,   __lowerCamelCase       :  str							) -> bool:
          # joinpath will ignore base if path is absolute
          return not resolved(os.path.join(__a      ,   __a							)							).startswith(__a							)

       def badlink(__lowerCamelCase       :  int      ,   __lowerCamelCase       :  str							) -> bool:
          # Links are interpreted relative to the directory containing the link
          a					=    resolved(os.path.join(__a      ,   os.path.dirname(info.name							)							)							)
          return badpath(info.linkname      ,   base=__a							)

       a					=    resolved(__a							)

       for finfo in members:
          if badpath(finfo.name      ,   __a							):
             logger.error(f"""Extraction of {finfo.name} is blocked (illegal path)"""							)
          elif finfo.issym() and badlink(__a      ,   __a							):
             logger.error(f"""Extraction of {finfo.name} is blocked: Symlink to {finfo.linkname}"""							)
          elif finfo.islnk() and badlink(__a      ,   __a							):
             logger.error(f"""Extraction of {finfo.name} is blocked: Hard link to {finfo.linkname}"""							)
          else:
             yield finfo





    @staticmethod
    def 							__UpperCAmelCase							(   __lowerCamelCase       :  Union[Path, str]      ,   __lowerCamelCase       :  Union[Path, str]							)      ->  None:
       os.makedirs(__a      ,   exist_ok=__a							)
       a					=    tarfile.open(__a							)
       tar_file.extractall(__a      ,   members=TarExtractor.safemembers(__a      ,   __a							)							)
       tar_file.close()




class 					snake_case__							(__lowercase     ):
    """simple docstring"""



    SCREAMING_SNAKE_CASE_ :							Tuple											=      [B'''\x1F\x8B''']





    @staticmethod
    def 							__UpperCAmelCase							(   __lowerCamelCase       :  Union[Path, str]      ,   __lowerCamelCase       :  Union[Path, str]							)      ->  None:
       with gzip.open(__a      ,   "rb"							) as gzip_file:
          with open(__a      ,   "wb"							) as extracted_file:
             shutil.copyfileobj(__a      ,   __a							)




class 					snake_case__							(__lowercase     ):
    """simple docstring"""



    SCREAMING_SNAKE_CASE_ :							Any											=      [
        B'''PK\x03\x04''',
        B'''PK\x05\x06''',  # empty archive
        B'''PK\x07\x08''',  # spanned archive
    ]





    @classmethod
    def 							__UpperCAmelCase							(   cls       :  Any      ,   __lowerCamelCase       :  Union[Path, str]      ,   __lowerCamelCase       :  bytes = b""							)      ->  bool:
       if super().is_extractable(__a      ,   magic_number=__a							):
          return True
       try:
          # Alternative version of zipfile.is_zipfile that has less false positives, but misses executable zip archives.
          # From: https://github.com/python/cpython/pull/5053
          from zipfile import (
              _CD_SIGNATURE,
              _ECD_DISK_NUMBER,
              _ECD_DISK_START,
              _ECD_ENTRIES_TOTAL,
              _ECD_OFFSET,
              _ECD_SIZE,
              _EndRecData,
              sizeCentralDir,
              stringCentralDir,
              structCentralDir,
          )

          with open(__a      ,   "rb"							) as fp:
             a					=    _EndRecData(__a							)
             if endrec:
                if endrec[_ECD_ENTRIES_TOTAL] == 0 and endrec[_ECD_SIZE] == 0 and endrec[_ECD_OFFSET] == 0:
                   return True  # Empty zipfiles are still zipfiles
                elif endrec[_ECD_DISK_NUMBER] == endrec[_ECD_DISK_START]:
                   fp.seek(endrec[_ECD_OFFSET]							)  # Central directory is on the same disk
                   if fp.tell() == endrec[_ECD_OFFSET] and endrec[_ECD_SIZE] >= sizeCentralDir:
                      a					=    fp.read(__a							)  # CD is where we expect it to be
                      if len(__a							) == sizeCentralDir:
                         a					=    struct.unpack(__a      ,   __a							)  # CD is the right size
                         if centdir[_CD_SIGNATURE] == stringCentralDir:
                            return True  # First central directory entry  has correct magic number
          return False
       except Exception:  # catch all errors in case future python versions change the zipfile internals
          return False





    @staticmethod
    def 							__UpperCAmelCase							(   __lowerCamelCase       :  Union[Path, str]      ,   __lowerCamelCase       :  Union[Path, str]							)      ->  None:
       os.makedirs(__a      ,   exist_ok=__a							)
       with zipfile.ZipFile(__a      ,   "r"							) as zip_file:
          zip_file.extractall(__a							)
          zip_file.close()




class 					snake_case__							(__lowercase     ):
    """simple docstring"""



    SCREAMING_SNAKE_CASE_ :							Dict											=      [B'''\xFD\x37\x7A\x58\x5A\x00''']





    @staticmethod
    def 							__UpperCAmelCase							(   __lowerCamelCase       :  Union[Path, str]      ,   __lowerCamelCase       :  Union[Path, str]							)      ->  None:
       with lzma.open(__a							) as compressed_file:
          with open(__a      ,   "wb"							) as extracted_file:
             shutil.copyfileobj(__a      ,   __a							)




class 					snake_case__							(__lowercase     ):
    """simple docstring"""



    SCREAMING_SNAKE_CASE_ :							int											=      [B'''Rar!\x1a\x07\x00''', B'''Rar!\x1a\x07\x01\x00''']  # RAR_ID  # RAR5_ID





    @staticmethod
    def 							__UpperCAmelCase							(   __lowerCamelCase       :  Union[Path, str]      ,   __lowerCamelCase       :  Union[Path, str]							)      ->  None:
       if not config.RARFILE_AVAILABLE:
          raise ImportError("Please pip install rarfile"							)
       import rarfile

       os.makedirs(__a      ,   exist_ok=__a							)
       a					=    rarfile.RarFile(__a							)
       rf.extractall(__a							)
       rf.close()




class 					snake_case__							(__lowercase     ):
    """simple docstring"""



    SCREAMING_SNAKE_CASE_ :							Union[str, Any]											=      [B'''\x28\xb5\x2F\xFD''']





    @staticmethod
    def 							__UpperCAmelCase							(   __lowerCamelCase       :  Union[Path, str]      ,   __lowerCamelCase       :  Union[Path, str]							)      ->  None:
       if not config.ZSTANDARD_AVAILABLE:
          raise ImportError("Please pip install zstandard"							)
       import zstandard as zstd

       a					=    zstd.ZstdDecompressor()
       with open(__a      ,   "rb"							) as ifh, open(__a      ,   "wb"							) as ofh:
          dctx.copy_stream(__a      ,   __a							)




class 					snake_case__							(__lowercase     ):
    """simple docstring"""



    SCREAMING_SNAKE_CASE_ :							Optional[int]											=      [B'''\x42\x5A\x68''']





    @staticmethod
    def 							__UpperCAmelCase							(   __lowerCamelCase       :  Union[Path, str]      ,   __lowerCamelCase       :  Union[Path, str]							)      ->  None:
       with bza.open(__a      ,   "rb"							) as compressed_file:
          with open(__a      ,   "wb"							) as extracted_file:
             shutil.copyfileobj(__a      ,   __a							)




class 					snake_case__							(__lowercase     ):
    """simple docstring"""



    SCREAMING_SNAKE_CASE_ :							str											=      [B'''\x37\x7A\xBC\xAF\x27\x1C''']





    @staticmethod
    def 							__UpperCAmelCase							(   __lowerCamelCase       :  Union[Path, str]      ,   __lowerCamelCase       :  Union[Path, str]							)      ->  None:
       if not config.PY7ZR_AVAILABLE:
          raise ImportError("Please pip install py7zr"							)
       import pyazr

       os.makedirs(__a      ,   exist_ok=__a							)
       with pyazr.SevenZipFile(__a      ,   "r"							) as archive:
          archive.extractall(__a							)




class 					snake_case__							(__lowercase     ):
    """simple docstring"""



    SCREAMING_SNAKE_CASE_ :							Optional[Any]											=      [B'''\x04\x22\x4D\x18''']





    @staticmethod
    def 							__UpperCAmelCase							(   __lowerCamelCase       :  Union[Path, str]      ,   __lowerCamelCase       :  Union[Path, str]							)      ->  None:
       if not config.LZ4_AVAILABLE:
          raise ImportError("Please pip install lz4"							)
       import lza.frame

       with lza.frame.open(__a      ,   "rb"							) as compressed_file:
          with open(__a      ,   "wb"							) as extracted_file:
             shutil.copyfileobj(__a      ,   __a							)




class 					snake_case__							:
    """simple docstring"""



    SCREAMING_SNAKE_CASE_ :							Dict[str, Type[BaseExtractor]]											=      {
        "tar": TarExtractor,
        "gzip": GzipExtractor,
        "zip": ZipExtractor,
        "xz": XzExtractor,
        "rar": RarExtractor,
        "zstd": ZstdExtractor,
        "bz2": BzipaExtractor,
        "7z": SevenZipExtractor,  # <Added version="2.4.0"/>
        "lz4": LzaExtractor,  # <Added version="2.4.0"/>
    }





    @classmethod
    def 							__UpperCAmelCase							(   cls       :  Optional[int]							)      ->  List[str]:
       return max(
           len(__a							)
           for extractor in cls.extractors.values()
           if issubclass(__a      ,   __a							)
           for extractor_magic_number in extractor.magic_numbers							)





    @staticmethod
    def 							__UpperCAmelCase							(   __lowerCamelCase       :  Union[Path, str]      ,   __lowerCamelCase       :  int							)      ->  List[Any]:
       try:
          return MagicNumberBaseExtractor.read_magic_number(__a      ,   magic_number_length=__a							)
       except OSError:
          return b""





    @classmethod
    def 							__UpperCAmelCase							(   cls       :  Optional[int]      ,   __lowerCamelCase       :  Union[Path, str]      ,   __lowerCamelCase       :  bool = False							)      ->  bool:
       warnings.warn(
           "Method 'is_extractable' was deprecated in version 2.4.0 and will be removed in 3.0.0. "
           "Use 'infer_extractor_format' instead."      ,   category=__a      ,   )
       a					=    cls.infer_extractor_format(__a							)
       if extractor_format:
          return True if not return_extractor else (True, cls.extractors[extractor_format])
       return False if not return_extractor else (False, None)





    @classmethod
    def 							__UpperCAmelCase							(   cls       :  Tuple      ,   __lowerCamelCase       :  Union[Path, str]							)      ->  str:  # <Added version="2.4.0"/>
       a					=    cls._get_magic_number_max_length()
       a					=    cls._read_magic_number(__a      ,   __a							)
       for extractor_format, extractor in cls.extractors.items():
          if extractor.is_extractable(__a      ,   magic_number=__a							):
             return extractor_format





    @classmethod
    def 							__UpperCAmelCase							(   cls       :  Any      ,   __lowerCamelCase       :  Union[Path, str]      ,   __lowerCamelCase       :  Union[Path, str]      ,   __lowerCamelCase       :  Optional[str] = None      ,   __lowerCamelCase       :  Optional[BaseExtractor] = "deprecated"      ,   )      ->  None:
       os.makedirs(os.path.dirname(__a							)      ,   exist_ok=__a							)
       # Prevent parallel extractions
       a					=    str(Path(__a							).with_suffix(".lock"							)							)
       with FileLock(__a							):
          shutil.rmtree(__a      ,   ignore_errors=__a							)
          if extractor_format or extractor != "deprecated":
             if extractor != "deprecated" or not isinstance(__a      ,   __a							):  # passed as positional arg
                warnings.warn(
                    "Parameter 'extractor' was deprecated in version 2.4.0 and will be removed in 3.0.0. "
                    "Use 'extractor_format' instead."      ,   category=__a      ,   )
                a					=    extractor if extractor != """deprecated""" else extractor_format
             else:
                a					=    cls.extractors[extractor_format]
             return extractor.extract(__a      ,   __a							)
          else:
             warnings.warn(
                 "Parameter 'extractor_format' was made required in version 2.4.0 and not passing it will raise an "
                 "exception in 3.0.0."      ,   category=__a      ,   )
             for extractor in cls.extractors.values():
                if extractor.is_extractable(__a							):
                   return extractor.extract(__a      ,   __a							)












import json
import os
import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers import BertTokenizer, BertTokenizerFast
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES
from transformers.testing_utils import require_vision
from transformers.utils import FEATURE_EXTRACTOR_NAME, is_vision_available


if is_vision_available():
		from PIL import Image

		from transformers import ChineseCLIPImageProcessor, ChineseCLIPProcessor




@require_vision
class 					snake_case__							(unittest.TestCase     ):
				"""simple docstring"""



				def 							__UpperCAmelCase							(   self       :  int							)      ->  Dict:
							a					=    tempfile.mkdtemp()

							a					=    [
							    "[UNK]",
							    "[CLS]",
							    "[SEP]",
							    "[PAD]",
							    "[MASK]",
							    "的",
							    "价",
							    "格",
							    "是",
							    "15",
							    "便",
							    "alex",
							    "##andra",
							    "，",
							    "。",
							    "-",
							    "t",
							    "shirt",
							]
							a					=    os.path.join(self.tmpdirname      ,   VOCAB_FILES_NAMES["vocab_file"]							)
							with open(self.vocab_file      ,   "w"      ,   encoding="utf-8"							) as vocab_writer:
										vocab_writer.write("".join([x + "\n" for x in vocab_tokens]							)							)

							a					=    {
							    "do_resize": True,
							    "size": {"height": 2_24, "width": 2_24},
							    "do_center_crop": True,
							    "crop_size": {"height": 18, "width": 18},
							    "do_normalize": True,
							    "image_mean": [0.48_145_466, 0.4_578_275, 0.40_821_073],
							    "image_std": [0.26_862_954, 0.26_130_258, 0.27_577_711],
							    "do_convert_rgb": True,
							}
							a					=    os.path.join(self.tmpdirname      ,   __lowerCamelCase							)
							with open(self.image_processor_file      ,   "w"      ,   encoding="utf-8"							) as fp:
										json.dump(__lowerCamelCase      ,   __lowerCamelCase							)





				def 							__UpperCAmelCase							(   self       :  Dict      ,   **__lowerCamelCase       :  Union[str, Any]							)      ->  List[Any]:
							return BertTokenizer.from_pretrained(self.tmpdirname      ,   **__lowerCamelCase							)





				def 							__UpperCAmelCase							(   self       :  str      ,   **__lowerCamelCase       :  Optional[int]							)      ->  str:
							return BertTokenizerFast.from_pretrained(self.tmpdirname      ,   **__lowerCamelCase							)





				def 							__UpperCAmelCase							(   self       :  List[str]      ,   **__lowerCamelCase       :  Optional[int]							)      ->  Tuple:
							return ChineseCLIPImageProcessor.from_pretrained(self.tmpdirname      ,   **__lowerCamelCase							)





				def 							__UpperCAmelCase							(   self       :  Optional[int]							)      ->  Optional[Any]:
							shutil.rmtree(self.tmpdirname							)





				def 							__UpperCAmelCase							(   self       :  List[str]							)      ->  Optional[int]:
							a					=    [np.random.randint(2_55      ,   size=(3, 30, 4_00)      ,   dtype=np.uinta							)]

							a					=    [Image.fromarray(np.moveaxis(__lowerCamelCase      ,   0      ,   -1							)							) for x in image_inputs]

							return image_inputs





				def 							__UpperCAmelCase							(   self       :  int							)      ->  List[str]:
							a					=    self.get_tokenizer()
							a					=    self.get_rust_tokenizer()
							a					=    self.get_image_processor()

							a					=    ChineseCLIPProcessor(tokenizer=__lowerCamelCase      ,   image_processor=__lowerCamelCase							)
							processor_slow.save_pretrained(self.tmpdirname							)
							a					=    ChineseCLIPProcessor.from_pretrained(self.tmpdirname      ,   use_fast=__lowerCamelCase							)

							a					=    ChineseCLIPProcessor(tokenizer=__lowerCamelCase      ,   image_processor=__lowerCamelCase							)
							processor_fast.save_pretrained(self.tmpdirname							)
							a					=    ChineseCLIPProcessor.from_pretrained(self.tmpdirname							)

							self.assertEqual(processor_slow.tokenizer.get_vocab()      ,   tokenizer_slow.get_vocab()							)
							self.assertEqual(processor_fast.tokenizer.get_vocab()      ,   tokenizer_fast.get_vocab()							)
							self.assertEqual(tokenizer_slow.get_vocab()      ,   tokenizer_fast.get_vocab()							)
							self.assertIsInstance(processor_slow.tokenizer      ,   __lowerCamelCase							)
							self.assertIsInstance(processor_fast.tokenizer      ,   __lowerCamelCase							)

							self.assertEqual(processor_slow.image_processor.to_json_string()      ,   image_processor.to_json_string()							)
							self.assertEqual(processor_fast.image_processor.to_json_string()      ,   image_processor.to_json_string()							)
							self.assertIsInstance(processor_slow.image_processor      ,   __lowerCamelCase							)
							self.assertIsInstance(processor_fast.image_processor      ,   __lowerCamelCase							)





				def 							__UpperCAmelCase							(   self       :  Optional[int]							)      ->  List[Any]:
							a					=    ChineseCLIPProcessor(tokenizer=self.get_tokenizer()      ,   image_processor=self.get_image_processor()							)
							processor.save_pretrained(self.tmpdirname							)

							a					=    self.get_tokenizer(cls_token="(CLS)"      ,   sep_token="(SEP)"							)
							a					=    self.get_image_processor(do_normalize=__lowerCamelCase							)

							a					=    ChineseCLIPProcessor.from_pretrained(
							    self.tmpdirname      ,   cls_token="(CLS)"      ,   sep_token="(SEP)"      ,   do_normalize=__lowerCamelCase							)

							self.assertEqual(processor.tokenizer.get_vocab()      ,   tokenizer_add_kwargs.get_vocab()							)
							self.assertIsInstance(processor.tokenizer      ,   __lowerCamelCase							)

							self.assertEqual(processor.image_processor.to_json_string()      ,   image_processor_add_kwargs.to_json_string()							)
							self.assertIsInstance(processor.image_processor      ,   __lowerCamelCase							)





				def 							__UpperCAmelCase							(   self       :  Tuple							)      ->  Dict:
							a					=    self.get_image_processor()
							a					=    self.get_tokenizer()

							a					=    ChineseCLIPProcessor(tokenizer=__lowerCamelCase      ,   image_processor=__lowerCamelCase							)

							a					=    self.prepare_image_inputs()

							a					=    image_processor(__lowerCamelCase      ,   return_tensors="np"							)
							a					=    processor(images=__lowerCamelCase      ,   return_tensors="np"							)

							for key in input_feat_extract.keys():
										self.assertAlmostEqual(input_feat_extract[key].sum()      ,   input_processor[key].sum()      ,   delta=1e-2							)





				def 							__UpperCAmelCase							(   self       :  str							)      ->  Optional[int]:
							a					=    self.get_image_processor()
							a					=    self.get_tokenizer()

							a					=    ChineseCLIPProcessor(tokenizer=__lowerCamelCase      ,   image_processor=__lowerCamelCase							)

							a					=    "Alexandra，T-shirt的价格是15便士。"

							a					=    processor(text=__lowerCamelCase							)

							a					=    tokenizer(__lowerCamelCase							)

							for key in encoded_tok.keys():
										self.assertListEqual(encoded_tok[key]      ,   encoded_processor[key]							)





				def 							__UpperCAmelCase							(   self       :  List[Any]							)      ->  Any:
							a					=    self.get_image_processor()
							a					=    self.get_tokenizer()

							a					=    ChineseCLIPProcessor(tokenizer=__lowerCamelCase      ,   image_processor=__lowerCamelCase							)

							a					=    "Alexandra，T-shirt的价格是15便士。"
							a					=    self.prepare_image_inputs()

							a					=    processor(text=__lowerCamelCase      ,   images=__lowerCamelCase							)

							self.assertListEqual(list(inputs.keys()							)      ,   ["input_ids", "token_type_ids", "attention_mask", "pixel_values"]							)

							# test if it raises when no input is passed
							with pytest.raises(__lowerCamelCase							):
										processor()





				def 							__UpperCAmelCase							(   self       :  List[str]							)      ->  Optional[int]:
							a					=    self.get_image_processor()
							a					=    self.get_tokenizer()

							a					=    ChineseCLIPProcessor(tokenizer=__lowerCamelCase      ,   image_processor=__lowerCamelCase							)

							a					=    [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

							a					=    processor.batch_decode(__lowerCamelCase							)
							a					=    tokenizer.batch_decode(__lowerCamelCase							)

							self.assertListEqual(__lowerCamelCase      ,   __lowerCamelCase							)





				def 							__UpperCAmelCase							(   self       :  Dict							)      ->  List[str]:
							a					=    self.get_image_processor()
							a					=    self.get_tokenizer()

							a					=    ChineseCLIPProcessor(tokenizer=__lowerCamelCase      ,   image_processor=__lowerCamelCase							)

							a					=    "Alexandra，T-shirt的价格是15便士。"
							a					=    self.prepare_image_inputs()

							a					=    processor(text=__lowerCamelCase      ,   images=__lowerCamelCase							)

							self.assertListEqual(list(inputs.keys()							)      ,   processor.model_input_names							)






