





'''simple docstring'''



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 							__lowercase    ( unittest.TestCase  ):







	'''simple docstring'''

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







				'''simple docstring'''





				__lowercase			  =							tempfile.mkdtemp()

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

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

				__lowercase			  =							{
				    '''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],
				}
				__lowercase			  =							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       ,**_lowerCamelCase	)							->							Tuple:







				'''simple docstring'''





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


	def   _UpperCAmelCase       (self       ,**_lowerCamelCase	)							->							Optional[int]:







				'''simple docstring'''





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


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







				'''simple docstring'''





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


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







				'''simple docstring'''





				shutil.rmtree(self.tmpdirname	)


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







				'''simple docstring'''





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

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

				return image_inputs


	def   _UpperCAmelCase       (self	)							->							Dict:







				'''simple docstring'''





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

				__lowercase			  =							OwlViTProcessor(tokenizer=_lowerCamelCase       ,image_processor=_lowerCamelCase	)
				processor_slow.save_pretrained(self.tmpdirname	)
				__lowercase			  =							OwlViTProcessor.from_pretrained(self.tmpdirname       ,use_fast=_lowerCamelCase	)

				__lowercase			  =							OwlViTProcessor(tokenizer=_lowerCamelCase       ,image_processor=_lowerCamelCase	)
				processor_fast.save_pretrained(self.tmpdirname	)
				__lowercase			  =							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       ,_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	)							->							Dict:







				'''simple docstring'''





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

				__lowercase			  =							self.get_tokenizer(bos_token='''(BOS)'''       ,eos_token='''(EOS)'''	)
				__lowercase			  =							self.get_image_processor(do_normalize=_lowerCamelCase	)

				__lowercase			  =							OwlViTProcessor.from_pretrained(
				    self.tmpdirname       ,bos_token='''(BOS)'''       ,eos_token='''(EOS)'''       ,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:







				'''simple docstring'''





				__lowercase			  =							self.get_image_processor()
				__lowercase			  =							self.get_tokenizer()

				__lowercase			  =							OwlViTProcessor(tokenizer=_lowerCamelCase       ,image_processor=_lowerCamelCase	)

				__lowercase			  =							self.prepare_image_inputs()

				__lowercase			  =							image_processor(_lowerCamelCase       ,return_tensors='''np'''	)
				__lowercase			  =							processor(images=_lowerCamelCase       ,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   _UpperCAmelCase       (self	)							->							Union[str, Any]:







				'''simple docstring'''





				__lowercase			  =							self.get_image_processor()
				__lowercase			  =							self.get_tokenizer()

				__lowercase			  =							OwlViTProcessor(tokenizer=_lowerCamelCase       ,image_processor=_lowerCamelCase	)

				__lowercase			  =							'''lower newer'''

				__lowercase			  =							processor(text=_lowerCamelCase       ,return_tensors='''np'''	)

				__lowercase			  =							tokenizer(_lowerCamelCase       ,return_tensors='''np'''	)

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


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







				'''simple docstring'''





				__lowercase			  =							self.get_image_processor()
				__lowercase			  =							self.get_tokenizer()

				__lowercase			  =							OwlViTProcessor(tokenizer=_lowerCamelCase       ,image_processor=_lowerCamelCase	)

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

				__lowercase			  =							processor(text=_lowerCamelCase       ,images=_lowerCamelCase	)

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

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


	def   _UpperCAmelCase       (self	)							->							Optional[int]:







				'''simple docstring'''





				__lowercase			  =							'''google/owlvit-base-patch32'''
				__lowercase			  =							OwlViTProcessor.from_pretrained(_lowerCamelCase	)

				__lowercase			  =							['''cat''', '''nasa badge''']
				__lowercase			  =							processor(text=_lowerCamelCase	)

				__lowercase			  =							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(_lowerCamelCase	):
							processor()


	def   _UpperCAmelCase       (self	)							->							List[Any]:







				'''simple docstring'''





				__lowercase			  =							'''google/owlvit-base-patch32'''
				__lowercase			  =							OwlViTProcessor.from_pretrained(_lowerCamelCase	)

				__lowercase			  =							[['''cat''', '''nasa badge'''], ['''person''']]
				__lowercase			  =							processor(text=_lowerCamelCase	)

				__lowercase			  =							16
				__lowercase			  =							len(_lowerCamelCase	)
				__lowercase			  =							max([len(_lowerCamelCase	) 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(_lowerCamelCase	):
							processor()


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







				'''simple docstring'''





				__lowercase			  =							'''google/owlvit-base-patch32'''
				__lowercase			  =							OwlViTProcessor.from_pretrained(_lowerCamelCase	)

				__lowercase			  =							['''cat''', '''nasa badge''']
				__lowercase			  =							processor(text=_lowerCamelCase	)

				__lowercase			  =							16
				__lowercase			  =							inputs['''input_ids''']
				__lowercase			  =							[
				    [49406, 2368, 49407, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
				    [49406, 6841, 11301, 49407, 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   _UpperCAmelCase       (self	)							->							int:







				'''simple docstring'''





				__lowercase			  =							self.get_image_processor()
				__lowercase			  =							self.get_tokenizer()

				__lowercase			  =							OwlViTProcessor(tokenizer=_lowerCamelCase       ,image_processor=_lowerCamelCase	)

				__lowercase			  =							self.prepare_image_inputs()
				__lowercase			  =							self.prepare_image_inputs()

				__lowercase			  =							processor(images=_lowerCamelCase       ,query_images=_lowerCamelCase	)

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

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


	def   _UpperCAmelCase       (self	)							->							List[Any]:







				'''simple docstring'''





				__lowercase			  =							self.get_image_processor()
				__lowercase			  =							self.get_tokenizer()

				__lowercase			  =							OwlViTProcessor(tokenizer=_lowerCamelCase       ,image_processor=_lowerCamelCase	)

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

				__lowercase			  =							processor.batch_decode(_lowerCamelCase	)
				__lowercase			  =							tokenizer.batch_decode(_lowerCamelCase	)

				self.assertListEqual(_lowerCamelCase       ,_lowerCamelCase	)












'''simple docstring'''



def 				_lowerCAmelCase  (			lowerCamelCase_     :					int = 6_0_0_8_5_1_4_7_5_1_4_3			):

			try:
						__lowercase			  =							int(lowerCamelCase_			)
			except (TypeError, ValueError):
						raise TypeError('''Parameter n must be int or castable to int.'''			)
			if n <= 0:
						raise ValueError('''Parameter n must be greater than or equal to one.'''			)
			__lowercase			  =							1
			__lowercase			  =							2
			while i * i <= n:
						while n % i == 0:
									__lowercase			  =							i
									n //= i
						i += 1
			if n > 1:
						__lowercase			  =							n
			return int(lowerCamelCase_			)


if __name__ == "__main__":
	print(f'''{solution() = }''')





