import json
import os
import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_utils import require_vision
from transformers.utils import IMAGE_PROCESSOR_NAME, is_vision_available


if is_vision_available():
  from PIL import Image

  from transformers import OwlViTImageProcessor, OwlViTProcessor




@require_vision
class  __magic_name__  (		unittest.TestCase    ):





   """simple docstring"""




   def   lowerCAmelCase						(	self					:  int							):



    """simple docstring"""



    _UpperCamelCase:     Optional[int]							= tempfile.mkdtemp()

    # fmt: off
    _UpperCamelCase:     Union[str, Any]							= ['''''', '''l''', '''o''', '''w''', '''e''', '''r''', '''s''', '''t''', '''i''', '''d''', '''n''', '''lo''', '''l</w>''', '''w</w>''', '''r</w>''', '''t</w>''', '''low</w>''', '''er</w>''', '''lowest</w>''', '''newer</w>''', '''wider''', '''<unk>''', '''<|startoftext|>''', '''<|endoftext|>''']
    # fmt: on
    _UpperCamelCase:     List[str]							= dict(zip(_lowercase		,  range(len(_lowercase							)							)							)							)
    _UpperCamelCase:     int							= ['''#version: 0.2''', '''l o''', '''lo w</w>''', '''e r</w>''', '''''']
    _UpperCamelCase:     str							= {'''unk_token''': '''<unk>'''}

    _UpperCamelCase:     int							= os.path.join(self.tmpdirname		,  VOCAB_FILES_NAMES['''vocab_file''']							)
    _UpperCamelCase:     Dict							= os.path.join(self.tmpdirname		,  VOCAB_FILES_NAMES['''merges_file''']							)
    with open(self.vocab_file		,  '''w'''		,  encoding='''utf-8'''							) as fp:
     fp.write(json.dumps(_lowercase							) + '''\n'''							)
    with open(self.merges_file		,  '''w'''		,  encoding='''utf-8'''							) as fp:
     fp.write('''\n'''.join(_lowercase							)							)

    _UpperCamelCase:     List[Any]							= {
        '''do_resize''': True,
        '''size''': 20,
        '''do_center_crop''': True,
        '''crop_size''': 18,
        '''do_normalize''': True,
        '''image_mean''': [0.48145466, 0.4578275, 0.40821073],
        '''image_std''': [0.26862954, 0.26130258, 0.27577711],
    }
    _UpperCamelCase:     Any							= os.path.join(self.tmpdirname		,  _lowercase							)
    with open(self.image_processor_file		,  '''w'''		,  encoding='''utf-8'''							) as fp:
     json.dump(_lowercase		,  _lowercase							)



   def   lowerCAmelCase						(	self					:  Any		,  **_lowercase					:  int							):



    """simple docstring"""



    return CLIPTokenizer.from_pretrained(self.tmpdirname		,  pad_token='''!'''		,  **_lowercase							)



   def   lowerCAmelCase						(	self					:  Optional[Any]		,  **_lowercase					:  List[str]							):



    """simple docstring"""



    return CLIPTokenizerFast.from_pretrained(self.tmpdirname		,  pad_token='''!'''		,  **_lowercase							)



   def   lowerCAmelCase						(	self					:  str		,  **_lowercase					:  Tuple							):



    """simple docstring"""



    return OwlViTImageProcessor.from_pretrained(self.tmpdirname		,  **_lowercase							)



   def   lowerCAmelCase						(	self					:  str							):



    """simple docstring"""



    shutil.rmtree(self.tmpdirname							)



   def   lowerCAmelCase						(	self					:  List[Any]							):



    """simple docstring"""



    _UpperCamelCase:     int							= [np.random.randint(255		,  size=(3, 30, 400)		,  dtype=np.uinta							)]

    _UpperCamelCase:     str							= [Image.fromarray(np.moveaxis(_lowercase		,  0		,  -1							)							) for x in image_inputs]

    return image_inputs



   def   lowerCAmelCase						(	self					:  int							):



    """simple docstring"""



    _UpperCamelCase:     Dict							= self.get_tokenizer()
    _UpperCamelCase:     List[str]							= self.get_rust_tokenizer()
    _UpperCamelCase:     Tuple							= self.get_image_processor()

    _UpperCamelCase:     Tuple							= OwlViTProcessor(tokenizer=_lowercase		,  image_processor=_lowercase							)
    processor_slow.save_pretrained(self.tmpdirname							)
    _UpperCamelCase:     List[Any]							= OwlViTProcessor.from_pretrained(self.tmpdirname		,  use_fast=_lowercase							)

    _UpperCamelCase:     Union[str, Any]							= OwlViTProcessor(tokenizer=_lowercase		,  image_processor=_lowercase							)
    processor_fast.save_pretrained(self.tmpdirname							)
    _UpperCamelCase:     Union[str, Any]							= OwlViTProcessor.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		,  _lowercase							)
    self.assertIsInstance(processor_fast.tokenizer		,  _lowercase							)

    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		,  _lowercase							)
    self.assertIsInstance(processor_fast.image_processor		,  _lowercase							)



   def   lowerCAmelCase						(	self					:  Tuple							):



    """simple docstring"""



    _UpperCamelCase:     Tuple							= OwlViTProcessor(tokenizer=self.get_tokenizer()		,  image_processor=self.get_image_processor()							)
    processor.save_pretrained(self.tmpdirname							)

    _UpperCamelCase:     Tuple							= self.get_tokenizer(bos_token='''(BOS)'''		,  eos_token='''(EOS)'''							)
    _UpperCamelCase:     Union[str, Any]							= self.get_image_processor(do_normalize=_lowercase							)

    _UpperCamelCase:     Dict							= OwlViTProcessor.from_pretrained(
        self.tmpdirname		,  bos_token='''(BOS)'''		,  eos_token='''(EOS)'''		,  do_normalize=_lowercase							)

    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   lowerCAmelCase						(	self					:  Any							):



    """simple docstring"""



    _UpperCamelCase:     List[Any]							= self.get_image_processor()
    _UpperCamelCase:     Optional[Any]							= self.get_tokenizer()

    _UpperCamelCase:     Optional[int]							= OwlViTProcessor(tokenizer=_lowercase		,  image_processor=_lowercase							)

    _UpperCamelCase:     str							= self.prepare_image_inputs()

    _UpperCamelCase:     Optional[Any]							= image_processor(_lowercase		,  return_tensors='''np'''							)
    _UpperCamelCase:     str							= processor(images=_lowercase		,  return_tensors='''np'''							)

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



   def   lowerCAmelCase						(	self					:  Tuple							):



    """simple docstring"""



    _UpperCamelCase:     int							= self.get_image_processor()
    _UpperCamelCase:     Union[str, Any]							= self.get_tokenizer()

    _UpperCamelCase:     Optional[int]							= OwlViTProcessor(tokenizer=_lowercase		,  image_processor=_lowercase							)

    _UpperCamelCase:     Union[str, Any]							= '''lower newer'''

    _UpperCamelCase:     List[str]							= processor(text=_lowercase		,  return_tensors='''np'''							)

    _UpperCamelCase:     Optional[int]							= tokenizer(_lowercase		,  return_tensors='''np'''							)

    for key in encoded_tok.keys():
     self.assertListEqual(encoded_tok[key][0].tolist()		,  encoded_processor[key][0].tolist()							)



   def   lowerCAmelCase						(	self					:  Dict							):



    """simple docstring"""



    _UpperCamelCase:     Optional[Any]							= self.get_image_processor()
    _UpperCamelCase:     Tuple							= self.get_tokenizer()

    _UpperCamelCase:     Tuple							= OwlViTProcessor(tokenizer=_lowercase		,  image_processor=_lowercase							)

    _UpperCamelCase:     Any							= '''lower newer'''
    _UpperCamelCase:     List[str]							= self.prepare_image_inputs()

    _UpperCamelCase:     Union[str, 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   lowerCAmelCase						(	self					:  Optional[int]							):



    """simple docstring"""



    _UpperCamelCase:     Union[str, Any]							= '''google/owlvit-base-patch32'''
    _UpperCamelCase:     Optional[int]							= OwlViTProcessor.from_pretrained(_lowercase							)

    _UpperCamelCase:     int							= ['''cat''', '''nasa badge''']
    _UpperCamelCase:     List[Any]							= processor(text=_lowercase							)

    _UpperCamelCase:     Any							= 16
    self.assertListEqual(list(inputs.keys()							)		,  ['''input_ids''', '''attention_mask''']							)
    self.assertEqual(inputs['''input_ids'''].shape		,  (2, seq_length)							)

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



   def   lowerCAmelCase						(	self					:  str							):



    """simple docstring"""



    _UpperCamelCase:     Union[str, Any]							= '''google/owlvit-base-patch32'''
    _UpperCamelCase:     int							= OwlViTProcessor.from_pretrained(_lowercase							)

    _UpperCamelCase:     Tuple							= [['''cat''', '''nasa badge'''], ['''person''']]
    _UpperCamelCase:     Tuple							= processor(text=_lowercase							)

    _UpperCamelCase:     List[str]							= 16
    _UpperCamelCase:     Union[str, Any]							= len(_lowercase							)
    _UpperCamelCase:     Optional[Any]							= max([len(_lowercase							) for texts in input_texts]							)

    self.assertListEqual(list(inputs.keys()							)		,  ['''input_ids''', '''attention_mask''']							)
    self.assertEqual(inputs['''input_ids'''].shape		,  (batch_size * num_max_text_queries, seq_length)							)

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



   def   lowerCAmelCase						(	self					:  Optional[int]							):



    """simple docstring"""



    _UpperCamelCase:     str							= '''google/owlvit-base-patch32'''
    _UpperCamelCase:     int							= OwlViTProcessor.from_pretrained(_lowercase							)

    _UpperCamelCase:     str							= ['''cat''', '''nasa badge''']
    _UpperCamelCase:     str							= processor(text=_lowercase							)

    _UpperCamelCase:     Optional[int]							= 16
    _UpperCamelCase:     List[str]							= inputs['''input_ids''']
    _UpperCamelCase:     List[str]							= [
        [49_406, 2_368, 49_407, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
        [49_406, 6_841, 11_301, 49_407, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
    ]

    self.assertListEqual(list(inputs.keys()							)		,  ['''input_ids''', '''attention_mask''']							)
    self.assertEqual(inputs['''input_ids'''].shape		,  (2, seq_length)							)
    self.assertListEqual(list(input_ids[0]							)		,  predicted_ids[0]							)
    self.assertListEqual(list(input_ids[1]							)		,  predicted_ids[1]							)



   def   lowerCAmelCase						(	self					:  Optional[Any]							):



    """simple docstring"""



    _UpperCamelCase:     Optional[Any]							= self.get_image_processor()
    _UpperCamelCase:     List[Any]							= self.get_tokenizer()

    _UpperCamelCase:     Tuple							= OwlViTProcessor(tokenizer=_lowercase		,  image_processor=_lowercase							)

    _UpperCamelCase:     Optional[Any]							= self.prepare_image_inputs()
    _UpperCamelCase:     int							= self.prepare_image_inputs()

    _UpperCamelCase:     Optional[int]							= processor(images=_lowercase		,  query_images=_lowercase							)

    self.assertListEqual(list(inputs.keys()							)		,  ['''query_pixel_values''', '''pixel_values''']							)

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



   def   lowerCAmelCase						(	self					:  str							):



    """simple docstring"""



    _UpperCamelCase:     int							= self.get_image_processor()
    _UpperCamelCase:     Tuple							= self.get_tokenizer()

    _UpperCamelCase:     Union[str, Any]							= OwlViTProcessor(tokenizer=_lowercase		,  image_processor=_lowercase							)

    _UpperCamelCase:     int							= [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

    _UpperCamelCase:     int							= processor.batch_decode(_lowercase							)
    _UpperCamelCase:     int							= tokenizer.batch_decode(_lowercase							)

    self.assertListEqual(_lowercase		,  _lowercase							)
import warnings

from ...utils import logging
from .image_processing_perceiver import PerceiverImageProcessor


UpperCAmelCase_			    =							logging.get_logger(__name__)




class  __magic_name__  (		__a    ):





   """simple docstring"""




   def __init__(	self					:  str		,  *_lowercase					:  str		,  **_lowercase					:  int							):



    """simple docstring"""



    warnings.warn(
        '''The class PerceiverFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
        ''' Please use PerceiverImageProcessor instead.'''		,  _lowercase		,  )
    super().__init__(*_lowercase		,  **_lowercase							)