


"""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      lowerCamelCase__   (     unittest.TestCase				):







					"""simple docstring"""


					def lowerCamelCase__							(       self    : Optional[Any]  ):
												'''simple docstring'''






												__UpperCAmelCase   :						List[Any]      							=					tempfile.mkdtemp()

												# fmt: off
												__UpperCAmelCase   :						Dict      							=					["""""", """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[Any]      							=					dict(zip(UpperCamelCase ,       range(len(UpperCamelCase  )  )  )  )
												__UpperCAmelCase   :						List[Any]      							=					["""#version: 0.2""", """l o""", """lo w</w>""", """e r</w>""", """"""]
												__UpperCAmelCase   :						Union[str, Any]      							=					{"""unk_token""": """<unk>"""}

												__UpperCAmelCase   :						Any      							=					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(UpperCamelCase  ) + """\n"""  )
												with open(self.merges_file ,       """w""" ,       encoding="""utf-8"""  ) as fp:
																			fp.write("""\n""".join(UpperCamelCase  )  )

												__UpperCAmelCase   :						Union[str, 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   :						str      							=					os.path.join(self.tmpdirname ,       UpperCamelCase  )
												with open(self.image_processor_file ,       """w""" ,       encoding="""utf-8"""  ) as fp:
																			json.dump(UpperCamelCase ,       UpperCamelCase  )






					def lowerCamelCase__							(       self    : List[Any] ,       **UpperCamelCase    : int  ):
												'''simple docstring'''






												return CLIPTokenizer.from_pretrained(self.tmpdirname ,       pad_token="""!""" ,       **UpperCamelCase  )






					def lowerCamelCase__							(       self    : Optional[int] ,       **UpperCamelCase    : Any  ):
												'''simple docstring'''






												return CLIPTokenizerFast.from_pretrained(self.tmpdirname ,       pad_token="""!""" ,       **UpperCamelCase  )






					def lowerCamelCase__							(       self    : Optional[int] ,       **UpperCamelCase    : Optional[Any]  ):
												'''simple docstring'''






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






					def lowerCamelCase__							(       self    : Dict  ):
												'''simple docstring'''






												shutil.rmtree(self.tmpdirname  )






					def lowerCamelCase__							(       self    : Dict  ):
												'''simple docstring'''






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

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

												return image_inputs






					def lowerCamelCase__							(       self    : Dict  ):
												'''simple docstring'''






												__UpperCAmelCase   :						Any      							=					self.get_tokenizer()
												__UpperCAmelCase   :						Any      							=					self.get_rust_tokenizer()
												__UpperCAmelCase   :						int      							=					self.get_image_processor()

												__UpperCAmelCase   :						Union[str, Any]      							=					OwlViTProcessor(tokenizer=UpperCamelCase ,       image_processor=UpperCamelCase  )
												processor_slow.save_pretrained(self.tmpdirname  )
												__UpperCAmelCase   :						Dict      							=					OwlViTProcessor.from_pretrained(self.tmpdirname ,       use_fast=UpperCamelCase  )

												__UpperCAmelCase   :						Tuple      							=					OwlViTProcessor(tokenizer=UpperCamelCase ,       image_processor=UpperCamelCase  )
												processor_fast.save_pretrained(self.tmpdirname  )
												__UpperCAmelCase   :						Dict      							=					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 ,       UpperCamelCase  )
												self.assertIsInstance(processor_fast.tokenizer ,       UpperCamelCase  )

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






					def lowerCamelCase__							(       self    : Optional[int]  ):
												'''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=UpperCamelCase  )

												__UpperCAmelCase   :						Optional[Any]      							=					OwlViTProcessor.from_pretrained(
												    self.tmpdirname ,       bos_token="""(BOS)""" ,       eos_token="""(EOS)""" ,       do_normalize=UpperCamelCase  )

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

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






					def lowerCamelCase__							(       self    : Union[str, Any]  ):
												'''simple docstring'''






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

												__UpperCAmelCase   :						Any      							=					OwlViTProcessor(tokenizer=UpperCamelCase ,       image_processor=UpperCamelCase  )

												__UpperCAmelCase   :						Union[str, Any]      							=					self.prepare_image_inputs()

												__UpperCAmelCase   :						List[Any]      							=					image_processor(UpperCamelCase ,       return_tensors="""np"""  )
												__UpperCAmelCase   :						Dict      							=					processor(images=UpperCamelCase ,       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    : Any  ):
												'''simple docstring'''






												__UpperCAmelCase   :						Tuple      							=					self.get_image_processor()
												__UpperCAmelCase   :						Optional[int]      							=					self.get_tokenizer()

												__UpperCAmelCase   :						Tuple      							=					OwlViTProcessor(tokenizer=UpperCamelCase ,       image_processor=UpperCamelCase  )

												__UpperCAmelCase   :						Dict      							=					"""lower newer"""

												__UpperCAmelCase   :						List[Any]      							=					processor(text=UpperCamelCase ,       return_tensors="""np"""  )

												__UpperCAmelCase   :						Tuple      							=					tokenizer(UpperCamelCase ,       return_tensors="""np"""  )

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






					def lowerCamelCase__							(       self    : Tuple  ):
												'''simple docstring'''






												__UpperCAmelCase   :						Tuple      							=					self.get_image_processor()
												__UpperCAmelCase   :						List[Any]      							=					self.get_tokenizer()

												__UpperCAmelCase   :						List[str]      							=					OwlViTProcessor(tokenizer=UpperCamelCase ,       image_processor=UpperCamelCase  )

												__UpperCAmelCase   :						List[str]      							=					"""lower newer"""
												__UpperCAmelCase   :						int      							=					self.prepare_image_inputs()

												__UpperCAmelCase   :						List[str]      							=					processor(text=UpperCamelCase ,       images=UpperCamelCase  )

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

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






					def lowerCamelCase__							(       self    : Union[str, Any]  ):
												'''simple docstring'''






												__UpperCAmelCase   :						str      							=					"""google/owlvit-base-patch32"""
												__UpperCAmelCase   :						Union[str, Any]      							=					OwlViTProcessor.from_pretrained(UpperCamelCase  )

												__UpperCAmelCase   :						Optional[int]      							=					["""cat""", """nasa badge"""]
												__UpperCAmelCase   :						Optional[Any]      							=					processor(text=UpperCamelCase  )

												__UpperCAmelCase   :						int      							=					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(UpperCamelCase  ):
																			processor()






					def lowerCamelCase__							(       self    : Optional[int]  ):
												'''simple docstring'''






												__UpperCAmelCase   :						List[Any]      							=					"""google/owlvit-base-patch32"""
												__UpperCAmelCase   :						Optional[int]      							=					OwlViTProcessor.from_pretrained(UpperCamelCase  )

												__UpperCAmelCase   :						int      							=					[["""cat""", """nasa badge"""], ["""person"""]]
												__UpperCAmelCase   :						Tuple      							=					processor(text=UpperCamelCase  )

												__UpperCAmelCase   :						List[Any]      							=					16
												__UpperCAmelCase   :						Dict      							=					len(UpperCamelCase  )
												__UpperCAmelCase   :						str      							=					max([len(UpperCamelCase  ) 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(UpperCamelCase  ):
																			processor()






					def lowerCamelCase__							(       self    : Optional[Any]  ):
												'''simple docstring'''






												__UpperCAmelCase   :						int      							=					"""google/owlvit-base-patch32"""
												__UpperCAmelCase   :						Any      							=					OwlViTProcessor.from_pretrained(UpperCamelCase  )

												__UpperCAmelCase   :						Optional[Any]      							=					["""cat""", """nasa badge"""]
												__UpperCAmelCase   :						List[Any]      							=					processor(text=UpperCamelCase  )

												__UpperCAmelCase   :						Union[str, Any]      							=					16
												__UpperCAmelCase   :						str      							=					inputs["""input_ids"""]
												__UpperCAmelCase   :						Optional[int]      							=					[
												    [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    : Union[str, Any]  ):
												'''simple docstring'''






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

												__UpperCAmelCase   :						Optional[Any]      							=					OwlViTProcessor(tokenizer=UpperCamelCase ,       image_processor=UpperCamelCase  )

												__UpperCAmelCase   :						Union[str, Any]      							=					self.prepare_image_inputs()
												__UpperCAmelCase   :						Any      							=					self.prepare_image_inputs()

												__UpperCAmelCase   :						List[str]      							=					processor(images=UpperCamelCase ,       query_images=UpperCamelCase  )

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

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






					def lowerCamelCase__							(       self    : Dict  ):
												'''simple docstring'''






												__UpperCAmelCase   :						int      							=					self.get_image_processor()
												__UpperCAmelCase   :						Optional[int]      							=					self.get_tokenizer()

												__UpperCAmelCase   :						Dict      							=					OwlViTProcessor(tokenizer=UpperCamelCase ,       image_processor=UpperCamelCase  )

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

												__UpperCAmelCase   :						Optional[Any]      							=					processor.batch_decode(UpperCamelCase  )
												__UpperCAmelCase   :						Union[str, Any]      							=					tokenizer.batch_decode(UpperCamelCase  )

												self.assertListEqual(UpperCamelCase ,       UpperCamelCase  )




"""simple docstring"""






from collections.abc import Callable
def      lowerCamelCase       (     _UpperCamelCase		:      Callable[[float], float]       ,			_UpperCamelCase		:      float       ,			_UpperCamelCase		:      float							)		->       float:

							'''simple docstring'''



							__UpperCAmelCase   :						float      							=					a
							__UpperCAmelCase   :						float      							=					b
							if function(_UpperCamelCase							) == 0:  # one of the a or b is a root for the function
														return a
							elif function(_UpperCamelCase							) == 0:
														return b
							elif (
							    function(_UpperCamelCase							) * function(_UpperCamelCase							) > 0
							):  # if none of these are root and they are both positive or negative,
														# then this algorithm can't find the root
														raise ValueError("""could not find root in given interval."""							)
							else:
														__UpperCAmelCase   :						float      							=					start + (end - start) / 2.0
														while abs(start - mid							) > 1_0**-7:  # until precisely equals to 10^-7
																					if function(_UpperCamelCase							) == 0:
																												return mid
																					elif function(_UpperCamelCase							) * function(_UpperCamelCase							) < 0:
																												__UpperCAmelCase   :						Union[str, Any]      							=					mid
																					else:
																												__UpperCAmelCase   :						List[Any]      							=					mid
																					__UpperCAmelCase   :						Optional[Any]      							=					start + (end - start) / 2.0
														return mid
def      lowerCamelCase       (     _UpperCamelCase		:      float							)		->       float:

							'''simple docstring'''



							return x**3 - 2 * x - 5


if __name__ == "__main__":
							print(bisection(f, 1, 1000))

							import doctest

							doctest.testmod()
