
"""simple docstring"""





from hashlib import mda, shaaaa

_a	 =							(shaaaa, mda)


class A_			:




  '''simple docstring'''







  def __init__(	self       ,     lowercase_ = 8						):

     """simple docstring"""
     UpperCAmelCase_      :      List[str]      =					0B0
     UpperCAmelCase_      :      Union[str, Any]      =					size







  def  UpperCamelCase__      (	self       ,     lowercase_						):

     """simple docstring"""
     UpperCAmelCase_      :      Union[str, Any]      =					self.hash_(lowercase_						)
     self.bitarray |= h







  def  UpperCamelCase__      (	self       ,     lowercase_						):

     """simple docstring"""
     UpperCAmelCase_      :      Optional[int]      =					self.hash_(lowercase_						)
     return (h & self.bitarray) == h







  def __contains__(	self       ,     lowercase_						):

     """simple docstring"""
     return self.exists(lowercase_						)







  def  UpperCamelCase__      (	self       ,     lowercase_						):

     """simple docstring"""
     UpperCAmelCase_      :      str      =					bin(lowercase_						)[2:]
     return res.zfill(self.size						)







  @property
  def  UpperCamelCase__      (	self						):

     """simple docstring"""
     return self.format_bin(self.bitarray						)







  def  UpperCamelCase__      (	self       ,     lowercase_						):

     """simple docstring"""
     UpperCAmelCase_      :      List[str]      =					0B0
     for func in HASH_FUNCTIONS:
        UpperCAmelCase_      :      str      =					(
            int.from_bytes(func(value.encode()						).digest()       ,     "little"						) % self.size
        )
        res |= 2**position
     return res







  def  UpperCamelCase__      (	self       ,     lowercase_						):

     """simple docstring"""
     return self.format_bin(self.hash_(lowercase_						)						)







  @property
  def  UpperCamelCase__      (	self						):

     """simple docstring"""
     UpperCAmelCase_      :      Optional[Any]      =					bin(self.bitarray						).count("1"						)
     return (n_ones / self.size) ** len(lowercase_						)


"""simple docstring"""





import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers.testing_utils import require_vision
from transformers.utils import is_vision_available


if is_vision_available():
    from PIL import Image

    from transformers import AutoProcessor, BertTokenizer, CLIPImageProcessor, GitProcessor, PreTrainedTokenizerFast


@require_vision
class A_			(unittest.TestCase   ):




  '''simple docstring'''







  def  UpperCamelCase__      (	self						):

     """simple docstring"""
     UpperCAmelCase_      :      Optional[int]      =					tempfile.mkdtemp()

     UpperCAmelCase_      :      List[Any]      =					CLIPImageProcessor()
     UpperCAmelCase_      :      Any      =					BertTokenizer.from_pretrained(
         "hf-internal-testing/tiny-random-BertModel"       ,     model_input_names=["input_ids", "attention_mask"]						)

     UpperCAmelCase_      :      Tuple      =					GitProcessor(lowercase_       ,     lowercase_						)

     processor.save_pretrained(self.tmpdirname						)







  def  UpperCamelCase__      (	self       ,     **lowercase_						):

     """simple docstring"""
     return AutoProcessor.from_pretrained(self.tmpdirname       ,     **lowercase_						).tokenizer







  def  UpperCamelCase__      (	self       ,     **lowercase_						):

     """simple docstring"""
     return AutoProcessor.from_pretrained(self.tmpdirname       ,     **lowercase_						).image_processor







  def  UpperCamelCase__      (	self						):

     """simple docstring"""
     shutil.rmtree(self.tmpdirname						)







  def  UpperCamelCase__      (	self						):

     """simple docstring"""
     UpperCAmelCase_      :      Optional[int]      =					[np.random.randint(255       ,     size=(3, 30, 400)       ,     dtype=np.uinta						)]

     UpperCAmelCase_      :      Optional[Any]      =					[Image.fromarray(np.moveaxis(lowercase_       ,     0       ,     -1						)						) for x in image_inputs]

     return image_inputs







  def  UpperCamelCase__      (	self						):

     """simple docstring"""
     UpperCAmelCase_      :      List[Any]      =					GitProcessor(tokenizer=self.get_tokenizer()       ,     image_processor=self.get_image_processor()						)
     processor.save_pretrained(self.tmpdirname						)

     UpperCAmelCase_      :      Optional[int]      =					self.get_tokenizer(bos_token="(BOS)"       ,     eos_token="(EOS)"						)
     UpperCAmelCase_      :      Union[str, Any]      =					self.get_image_processor(do_normalize=lowercase_       ,     padding_value=1.0						)

     UpperCAmelCase_      :      str      =					GitProcessor.from_pretrained(
         self.tmpdirname       ,     bos_token="(BOS)"       ,     eos_token="(EOS)"       ,     do_normalize=lowercase_       ,     padding_value=1.0						)

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

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







  def  UpperCamelCase__      (	self						):

     """simple docstring"""
     UpperCAmelCase_      :      Dict      =					self.get_image_processor()
     UpperCAmelCase_      :      Union[str, Any]      =					self.get_tokenizer()

     UpperCAmelCase_      :      Union[str, Any]      =					GitProcessor(tokenizer=lowercase_       ,     image_processor=lowercase_						)

     UpperCAmelCase_      :      List[Any]      =					self.prepare_image_inputs()

     UpperCAmelCase_      :      Optional[Any]      =					image_processor(lowercase_       ,     return_tensors="np"						)
     UpperCAmelCase_      :      int      =					processor(images=lowercase_       ,     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						):

     """simple docstring"""
     UpperCAmelCase_      :      Union[str, Any]      =					self.get_image_processor()
     UpperCAmelCase_      :      Tuple      =					self.get_tokenizer()

     UpperCAmelCase_      :      int      =					GitProcessor(tokenizer=lowercase_       ,     image_processor=lowercase_						)

     UpperCAmelCase_      :      Optional[Any]      =					"lower newer"

     UpperCAmelCase_      :      Any      =					processor(text=lowercase_						)

     UpperCAmelCase_      :      int      =					tokenizer(lowercase_       ,     return_token_type_ids=lowercase_						)

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







  def  UpperCamelCase__      (	self						):

     """simple docstring"""
     UpperCAmelCase_      :      Optional[int]      =					self.get_image_processor()
     UpperCAmelCase_      :      Union[str, Any]      =					self.get_tokenizer()

     UpperCAmelCase_      :      Optional[int]      =					GitProcessor(tokenizer=lowercase_       ,     image_processor=lowercase_						)

     UpperCAmelCase_      :      List[str]      =					"lower newer"
     UpperCAmelCase_      :      Dict      =					self.prepare_image_inputs()

     UpperCAmelCase_      :      Any      =					processor(text=lowercase_       ,     images=lowercase_						)

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

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







  def  UpperCamelCase__      (	self						):

     """simple docstring"""
     UpperCAmelCase_      :      Optional[Any]      =					self.get_image_processor()
     UpperCAmelCase_      :      str      =					self.get_tokenizer()

     UpperCAmelCase_      :      int      =					GitProcessor(tokenizer=lowercase_       ,     image_processor=lowercase_						)

     UpperCAmelCase_      :      Tuple      =					[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

     UpperCAmelCase_      :      Any      =					processor.batch_decode(lowercase_						)
     UpperCAmelCase_      :      Optional[Any]      =					tokenizer.batch_decode(lowercase_						)

     self.assertListEqual(lowercase_       ,     lowercase_						)







  def  UpperCamelCase__      (	self						):

     """simple docstring"""
     UpperCAmelCase_      :      Union[str, Any]      =					self.get_image_processor()
     UpperCAmelCase_      :      Optional[Any]      =					self.get_tokenizer()

     UpperCAmelCase_      :      str      =					GitProcessor(tokenizer=lowercase_       ,     image_processor=lowercase_						)

     UpperCAmelCase_      :      int      =					"lower newer"
     UpperCAmelCase_      :      Tuple      =					self.prepare_image_inputs()

     UpperCAmelCase_      :      Optional[Any]      =					processor(text=lowercase_       ,     images=lowercase_						)

     # For now the processor supports only ['input_ids', 'attention_mask', 'pixel_values']
     self.assertListEqual(list(inputs.keys()						)       ,     ["input_ids", "attention_mask", "pixel_values"]						)


