



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 			__lowerCAmelCase    (			unittest.TestCase						):



			def     _lowerCamelCase       (						self   :  List[str])   ->    List[Any]:



						"""simple docstring"""






						_UpperCAmelCase		       =   tempfile.mkdtemp()

						# fmt: off
						_UpperCAmelCase		       =   ['''''', '''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		       =   dict(zip(A ,		range(len(A))))
						_UpperCAmelCase		       =   ['''#version: 0.2''', '''l o''', '''lo w</w>''', '''e r</w>''', '''''']
						_UpperCAmelCase		       =   {'''unk_token''': '''<unk>'''}

						_UpperCAmelCase		       =   os.path.join(self.tmpdirname ,		VOCAB_FILES_NAMES['vocab_file'])
						_UpperCAmelCase		       =   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(A) + '\n')
						with open(self.merges_file ,		'w' ,		encoding='utf-8') as fp:
									fp.write('\n'.join(A))

						_UpperCAmelCase		       =   {
						    '''do_resize''': True,
						    '''size''': 20,
						    '''do_center_crop''': True,
						    '''crop_size''': 18,
						    '''do_normalize''': True,
						    '''image_mean''': [0.4_8_1_4_5_4_6_6, 0.4_5_7_8_2_7_5, 0.4_0_8_2_1_0_7_3],
						    '''image_std''': [0.2_6_8_6_2_9_5_4, 0.2_6_1_3_0_2_5_8, 0.2_7_5_7_7_7_1_1],
						}
						_UpperCAmelCase		       =   os.path.join(self.tmpdirname ,		A)
						with open(self.image_processor_file ,		'w' ,		encoding='utf-8') as fp:
									json.dump(A ,		A)



			def     _lowerCamelCase       (						self   :  Union[str, Any] ,		**A   :  Tuple)   ->    Any:



						"""simple docstring"""






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



			def     _lowerCamelCase       (						self   :  List[str] ,		**A   :  Tuple)   ->    str:



						"""simple docstring"""






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



			def     _lowerCamelCase       (						self   :  str ,		**A   :  Optional[int])   ->    List[str]:



						"""simple docstring"""






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



			def     _lowerCamelCase       (						self   :  Optional[int])   ->    Any:



						"""simple docstring"""






						shutil.rmtree(self.tmpdirname)



			def     _lowerCamelCase       (						self   :  Dict)   ->    int:



						"""simple docstring"""






						_UpperCAmelCase		       =   [np.random.randint(2_55 ,		size=(3, 30, 4_00) ,		dtype=np.uinta)]

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

						return image_inputs



			def     _lowerCamelCase       (						self   :  Optional[Any])   ->    Any:



						"""simple docstring"""






						_UpperCAmelCase		       =   self.get_tokenizer()
						_UpperCAmelCase		       =   self.get_rust_tokenizer()
						_UpperCAmelCase		       =   self.get_image_processor()

						_UpperCAmelCase		       =   OwlViTProcessor(tokenizer=A ,		image_processor=A)
						processor_slow.save_pretrained(self.tmpdirname)
						_UpperCAmelCase		       =   OwlViTProcessor.from_pretrained(self.tmpdirname ,		use_fast=A)

						_UpperCAmelCase		       =   OwlViTProcessor(tokenizer=A ,		image_processor=A)
						processor_fast.save_pretrained(self.tmpdirname)
						_UpperCAmelCase		       =   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 ,		A)
						self.assertIsInstance(processor_fast.tokenizer ,		A)

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



			def     _lowerCamelCase       (						self   :  Dict)   ->    Optional[Any]:



						"""simple docstring"""






						_UpperCAmelCase		       =   OwlViTProcessor(tokenizer=self.get_tokenizer() ,		image_processor=self.get_image_processor())
						processor.save_pretrained(self.tmpdirname)

						_UpperCAmelCase		       =   self.get_tokenizer(bos_token='(BOS)' ,		eos_token='(EOS)')
						_UpperCAmelCase		       =   self.get_image_processor(do_normalize=A)

						_UpperCAmelCase		       =   OwlViTProcessor.from_pretrained(
						    self.tmpdirname ,		bos_token='(BOS)' ,		eos_token='(EOS)' ,		do_normalize=A)

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

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



			def     _lowerCamelCase       (						self   :  List[str])   ->    List[str]:



						"""simple docstring"""






						_UpperCAmelCase		       =   self.get_image_processor()
						_UpperCAmelCase		       =   self.get_tokenizer()

						_UpperCAmelCase		       =   OwlViTProcessor(tokenizer=A ,		image_processor=A)

						_UpperCAmelCase		       =   self.prepare_image_inputs()

						_UpperCAmelCase		       =   image_processor(A ,		return_tensors='np')
						_UpperCAmelCase		       =   processor(images=A ,		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   :  List[str])   ->    Union[str, Any]:



						"""simple docstring"""






						_UpperCAmelCase		       =   self.get_image_processor()
						_UpperCAmelCase		       =   self.get_tokenizer()

						_UpperCAmelCase		       =   OwlViTProcessor(tokenizer=A ,		image_processor=A)

						_UpperCAmelCase		       =   '''lower newer'''

						_UpperCAmelCase		       =   processor(text=A ,		return_tensors='np')

						_UpperCAmelCase		       =   tokenizer(A ,		return_tensors='np')

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



			def     _lowerCamelCase       (						self   :  Union[str, Any])   ->    Union[str, Any]:



						"""simple docstring"""






						_UpperCAmelCase		       =   self.get_image_processor()
						_UpperCAmelCase		       =   self.get_tokenizer()

						_UpperCAmelCase		       =   OwlViTProcessor(tokenizer=A ,		image_processor=A)

						_UpperCAmelCase		       =   '''lower newer'''
						_UpperCAmelCase		       =   self.prepare_image_inputs()

						_UpperCAmelCase		       =   processor(text=A ,		images=A)

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

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



			def     _lowerCamelCase       (						self   :  Dict)   ->    List[Any]:



						"""simple docstring"""






						_UpperCAmelCase		       =   '''google/owlvit-base-patch32'''
						_UpperCAmelCase		       =   OwlViTProcessor.from_pretrained(A)

						_UpperCAmelCase		       =   ['''cat''', '''nasa badge''']
						_UpperCAmelCase		       =   processor(text=A)

						_UpperCAmelCase		       =   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(A):
									processor()



			def     _lowerCamelCase       (						self   :  Dict)   ->    int:



						"""simple docstring"""






						_UpperCAmelCase		       =   '''google/owlvit-base-patch32'''
						_UpperCAmelCase		       =   OwlViTProcessor.from_pretrained(A)

						_UpperCAmelCase		       =   [['''cat''', '''nasa badge'''], ['''person''']]
						_UpperCAmelCase		       =   processor(text=A)

						_UpperCAmelCase		       =   16
						_UpperCAmelCase		       =   len(A)
						_UpperCAmelCase		       =   max([len(A) 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(A):
									processor()



			def     _lowerCamelCase       (						self   :  str)   ->    Union[str, Any]:



						"""simple docstring"""






						_UpperCAmelCase		       =   '''google/owlvit-base-patch32'''
						_UpperCAmelCase		       =   OwlViTProcessor.from_pretrained(A)

						_UpperCAmelCase		       =   ['''cat''', '''nasa badge''']
						_UpperCAmelCase		       =   processor(text=A)

						_UpperCAmelCase		       =   16
						_UpperCAmelCase		       =   inputs['''input_ids''']
						_UpperCAmelCase		       =   [
						    [4_94_06, 23_68, 4_94_07, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
						    [4_94_06, 68_41, 1_13_01, 4_94_07, 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   :  str)   ->    Optional[Any]:



						"""simple docstring"""






						_UpperCAmelCase		       =   self.get_image_processor()
						_UpperCAmelCase		       =   self.get_tokenizer()

						_UpperCAmelCase		       =   OwlViTProcessor(tokenizer=A ,		image_processor=A)

						_UpperCAmelCase		       =   self.prepare_image_inputs()
						_UpperCAmelCase		       =   self.prepare_image_inputs()

						_UpperCAmelCase		       =   processor(images=A ,		query_images=A)

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

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



			def     _lowerCamelCase       (						self   :  Any)   ->    Union[str, Any]:



						"""simple docstring"""






						_UpperCAmelCase		       =   self.get_image_processor()
						_UpperCAmelCase		       =   self.get_tokenizer()

						_UpperCAmelCase		       =   OwlViTProcessor(tokenizer=A ,		image_processor=A)

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

						_UpperCAmelCase		       =   processor.batch_decode(A)
						_UpperCAmelCase		       =   tokenizer.batch_decode(A)

						self.assertListEqual(A ,		A)







UpperCAmelCase_     							= 'Input must be a string of 8 numbers plus letter'
UpperCAmelCase_     							= 'TRWAGMYFPDXBNJZSQVHLCKE'




def 		lowerCAmelCase_    (  __UpperCAmelCase:			str      )      ->	bool:

    if not isinstance(__UpperCAmelCase		,   __UpperCAmelCase      ):
        UpperCamelCase__							:				Any          =      f"Expected string as input, found {type(__UpperCAmelCase      ).__name__}"
        raise TypeError(__UpperCAmelCase      )

    UpperCamelCase__							:				int          =      spanish_id.replace('''-'''		,   ''''''      ).upper()
    if len(__UpperCAmelCase      ) != 9:
        raise ValueError(__UpperCAmelCase      )

    try:
        UpperCamelCase__							:				List[str]          =      int(spanish_id_clean[0:8]      )
        UpperCamelCase__							:				Optional[int]          =      spanish_id_clean[8]
    except ValueError as ex:
        raise ValueError(__UpperCAmelCase      ) from ex

    if letter.isdigit():
        raise ValueError(__UpperCAmelCase      )

    return letter == LOOKUP_LETTERS[number % 23]


if __name__ == "__main__":
  import doctest

  doctest.testmod()

