


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				):



					'''simple docstring'''







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







								'''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(snake_case_ ,       range(len(snake_case_						)						)						)						)
								__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(snake_case_						) + '''\n'''						)
								with open(self.merges_file ,       '''w''' ,       encoding='''utf-8'''						) as fp:
											fp.write('''\n'''.join(snake_case_						)						)

								__lowercase 					=   {
								    '''do_resize''': True,
								    '''size''': 2_0,
								    '''do_center_crop''': True,
								    '''crop_size''': 1_8,
								    '''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 ,       snake_case_						)
								with open(self.image_processor_file ,       '''w''' ,       encoding='''utf-8'''						) as fp:
											json.dump(snake_case_ ,       snake_case_						)






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







								'''simple docstring'''

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






					def A      (				self ,       **snake_case_						)   ->			str:







								'''simple docstring'''

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






					def A      (				self ,       **snake_case_						)   ->			str:







								'''simple docstring'''

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






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







								'''simple docstring'''

								shutil.rmtree(self.tmpdirname						)






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







								'''simple docstring'''

								__lowercase 					=   [np.random.randint(2_5_5 ,       size=(3, 3_0, 4_0_0) ,       dtype=np.uinta						)]

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

								return image_inputs






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







								'''simple docstring'''

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

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

								__lowercase 					=   OwlViTProcessor(tokenizer=snake_case_ ,       image_processor=snake_case_						)
								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 ,       snake_case_						)
								self.assertIsInstance(processor_fast.tokenizer ,       snake_case_						)

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






					def A      (				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=snake_case_						)

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

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

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






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







								'''simple docstring'''

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

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

								__lowercase 					=   self.prepare_image_inputs()

								__lowercase 					=   image_processor(snake_case_ ,       return_tensors='''np'''						)
								__lowercase 					=   processor(images=snake_case_ ,       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 A      (				self						)   ->			str:







								'''simple docstring'''

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

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

								__lowercase 					=   '''lower newer'''

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

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

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






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







								'''simple docstring'''

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

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

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

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

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

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






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







								'''simple docstring'''

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

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

								__lowercase 					=   1_6
								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(snake_case_						):
											processor()






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







								'''simple docstring'''

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

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

								__lowercase 					=   1_6
								__lowercase 					=   len(snake_case_						)
								__lowercase 					=   max([len(snake_case_						) 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(snake_case_						):
											processor()






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







								'''simple docstring'''

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

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

								__lowercase 					=   1_6
								__lowercase 					=   inputs['''input_ids''']
								__lowercase 					=   [
								    [4_9_4_0_6, 2_3_6_8, 4_9_4_0_7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
								    [4_9_4_0_6, 6_8_4_1, 1_1_3_0_1, 4_9_4_0_7, 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 A      (				self						)   ->			Dict:







								'''simple docstring'''

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

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

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

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

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

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






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







								'''simple docstring'''

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

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

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

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

								self.assertListEqual(snake_case_ ,       snake_case_						)






# limitations under the License.

# NOTE: This file is deprecated and will be removed in a future version.
# It only exists so that temporarely `from diffusers.pipelines import DiffusionPipeline` works

from .pipelines import DiffusionPipeline, ImagePipelineOutput  # noqa: F401
from .utils import deprecate


deprecate(
    '''pipelines_utils''',
    '''0.22.0''',
    '''Importing `DiffusionPipeline` or `ImagePipelineOutput` from diffusers.pipeline_utils is deprecated. Please import from diffusers.pipelines.pipeline_utils instead.''',
    standard_warn=False,
    stacklevel=3,
)


