






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 							A_    (						unittest.TestCase			):






 '''simple docstring'''




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

     """simple docstring"""



     _UpperCAmelCase				:      Any			  =				tempfile.mkdtemp()

     # fmt: off
     _UpperCAmelCase				:      int			  =				['''''', '''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(_A							,  range(len(_A))))
     _UpperCAmelCase				:      Tuple			  =				['''#version: 0.2''', '''l o''', '''lo w</w>''', '''e r</w>''', '''''']
     _UpperCAmelCase				:      List[Any]			  =				{'''unk_token''': '''<unk>'''}

     _UpperCAmelCase				:      Dict			  =				os.path.join(self.tmpdirname							,  VOCAB_FILES_NAMES['''vocab_file'''])
     _UpperCAmelCase				:      Tuple			  =				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				:      str			  =				{
         '''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							,  _A)
     with open(self.image_processor_file							,  '''w'''							,  encoding='''utf-8''') as fp:
         json.dump(_A							,  _A)


 def  snake_case__				(	self							,  **_A) ->		List[str]:

     """simple docstring"""



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


 def  snake_case__				(	self							,  **_A) ->		List[Any]:

     """simple docstring"""



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


 def  snake_case__				(	self							,  **_A) ->		Tuple:

     """simple docstring"""



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


 def  snake_case__				(	self) ->		Any:

     """simple docstring"""



     shutil.rmtree(self.tmpdirname)


 def  snake_case__				(	self) ->		Tuple:

     """simple docstring"""



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

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

     return image_inputs


 def  snake_case__				(	self) ->		str:

     """simple docstring"""



     _UpperCAmelCase				:      Dict			  =				self.get_tokenizer()
     _UpperCAmelCase				:      Tuple			  =				self.get_rust_tokenizer()
     _UpperCAmelCase				:      Tuple			  =				self.get_image_processor()

     _UpperCAmelCase				:      Dict			  =				OwlViTProcessor(tokenizer=_A							,  image_processor=_A)
     processor_slow.save_pretrained(self.tmpdirname)
     _UpperCAmelCase				:      Optional[int]			  =				OwlViTProcessor.from_pretrained(self.tmpdirname							,  use_fast=_A)

     _UpperCAmelCase				:      Dict			  =				OwlViTProcessor(tokenizer=_A							,  image_processor=_A)
     processor_fast.save_pretrained(self.tmpdirname)
     _UpperCAmelCase				:      Optional[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							,  _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  snake_case__				(	self) ->		List[str]:

     """simple docstring"""



     _UpperCAmelCase				:      List[Any]			  =				OwlViTProcessor(tokenizer=self.get_tokenizer()							,  image_processor=self.get_image_processor())
     processor.save_pretrained(self.tmpdirname)

     _UpperCAmelCase				:      List[Any]			  =				self.get_tokenizer(bos_token='''(BOS)'''							,  eos_token='''(EOS)''')
     _UpperCAmelCase				:      Union[str, Any]			  =				self.get_image_processor(do_normalize=_A)

     _UpperCAmelCase				:      Tuple			  =				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  snake_case__				(	self) ->		Optional[int]:

     """simple docstring"""



     _UpperCAmelCase				:      List[str]			  =				self.get_image_processor()
     _UpperCAmelCase				:      str			  =				self.get_tokenizer()

     _UpperCAmelCase				:      Dict			  =				OwlViTProcessor(tokenizer=_A							,  image_processor=_A)

     _UpperCAmelCase				:      List[str]			  =				self.prepare_image_inputs()

     _UpperCAmelCase				:      Optional[Any]			  =				image_processor(_A							,  return_tensors='''np''')
     _UpperCAmelCase				:      str			  =				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  snake_case__				(	self) ->		Tuple:

     """simple docstring"""



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

     _UpperCAmelCase				:      List[Any]			  =				OwlViTProcessor(tokenizer=_A							,  image_processor=_A)

     _UpperCAmelCase				:      List[str]			  =				'''lower newer'''

     _UpperCAmelCase				:      List[Any]			  =				processor(text=_A							,  return_tensors='''np''')

     _UpperCAmelCase				:      Union[str, Any]			  =				tokenizer(_A							,  return_tensors='''np''')

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


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

     """simple docstring"""



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

     _UpperCAmelCase				:      Union[str, Any]			  =				OwlViTProcessor(tokenizer=_A							,  image_processor=_A)

     _UpperCAmelCase				:      List[str]			  =				'''lower newer'''
     _UpperCAmelCase				:      int			  =				self.prepare_image_inputs()

     _UpperCAmelCase				:      List[Any]			  =				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  snake_case__				(	self) ->		Dict:

     """simple docstring"""



     _UpperCAmelCase				:      Dict			  =				'''google/owlvit-base-patch32'''
     _UpperCAmelCase				:      List[str]			  =				OwlViTProcessor.from_pretrained(_A)

     _UpperCAmelCase				:      str			  =				['''cat''', '''nasa badge''']
     _UpperCAmelCase				:      str			  =				processor(text=_A)

     _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(_A):
         processor()


 def  snake_case__				(	self) ->		int:

     """simple docstring"""



     _UpperCAmelCase				:      Any			  =				'''google/owlvit-base-patch32'''
     _UpperCAmelCase				:      List[str]			  =				OwlViTProcessor.from_pretrained(_A)

     _UpperCAmelCase				:      str			  =				[['''cat''', '''nasa badge'''], ['''person''']]
     _UpperCAmelCase				:      str			  =				processor(text=_A)

     _UpperCAmelCase				:      int			  =				16
     _UpperCAmelCase				:      int			  =				len(_A)
     _UpperCAmelCase				:      Optional[int]			  =				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  snake_case__				(	self) ->		Any:

     """simple docstring"""



     _UpperCAmelCase				:      List[str]			  =				'''google/owlvit-base-patch32'''
     _UpperCAmelCase				:      int			  =				OwlViTProcessor.from_pretrained(_A)

     _UpperCAmelCase				:      Optional[int]			  =				['''cat''', '''nasa badge''']
     _UpperCAmelCase				:      Dict			  =				processor(text=_A)

     _UpperCAmelCase				:      Tuple			  =				16
     _UpperCAmelCase				:      Union[str, Any]			  =				inputs['''input_ids''']
     _UpperCAmelCase				:      Optional[int]			  =				[
         [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  snake_case__				(	self) ->		Any:

     """simple docstring"""



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

     _UpperCAmelCase				:      Union[str, Any]			  =				OwlViTProcessor(tokenizer=_A							,  image_processor=_A)

     _UpperCAmelCase				:      List[str]			  =				self.prepare_image_inputs()
     _UpperCAmelCase				:      List[Any]			  =				self.prepare_image_inputs()

     _UpperCAmelCase				:      str			  =				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  snake_case__				(	self) ->		int:

     """simple docstring"""



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

     _UpperCAmelCase				:      Union[str, Any]			  =				OwlViTProcessor(tokenizer=_A							,  image_processor=_A)

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

     _UpperCAmelCase				:      Union[str, Any]			  =				processor.batch_decode(_A)
     _UpperCAmelCase				:      Optional[Any]			  =				tokenizer.batch_decode(_A)

     self.assertListEqual(_A							,  _A)












import os
from collections.abc import Iterator

def      _lowerCamelCase	(						__A    :							str = "." )      ->					Iterator[str]:
    for dir_path, dir_names, filenames in os.walk(__A ):
        _UpperCAmelCase				:      List[Any]			  =				[d for d in dir_names if d != '''scripts''' and d[0] not in '''._''']
        for filename in filenames:
            if filename == "__init__.py":
                continue
            if os.path.splitext(__A )[1] in (".py", ".ipynb"):
                yield os.path.join(__A		,		__A ).lstrip('''./''' )

def      _lowerCamelCase	(						__A    :							Dict )      ->					List[Any]:
    return f'''{i * '  '}*''' if i else "\n##"

def      _lowerCamelCase	(						__A    :							str		,		__A    :							str )      ->					str:
    _UpperCAmelCase				:      int			  =				old_path.split(os.sep )
    for i, new_part in enumerate(new_path.split(os.sep ) ):
        if (i + 1 > len(__A ) or old_parts[i] != new_part) and new_part:
            print(f'''{md_prefix(__A )} {new_part.replace('_'		,		' ' ).title()}''' )
    return new_path

def      _lowerCamelCase	(						__A    :							str = "." )      ->					None:
    _UpperCAmelCase				:      List[str]			  =				''''''
    for filepath in sorted(good_file_paths(__A ) ):
        _UpperCAmelCase  , _UpperCAmelCase				:      Optional[Any]			  =				os.path.split(__A )
        if filepath != old_path:
            _UpperCAmelCase				:      Optional[int]			  =				print_path(__A		,		__A )
        _UpperCAmelCase				:      Dict			  =				(filepath.count(os.sep ) + 1) if filepath else 0
        _UpperCAmelCase				:      Union[str, Any]			  =				f'''{filepath}/{filename}'''.replace(''' '''		,		'''%20''' )
        _UpperCAmelCase				:      List[Any]			  =				os.path.splitext(filename.replace('''_'''		,		''' ''' ).title() )[0]
        print(f'''{md_prefix(__A )} [{filename}]({url})''' )


if __name__ == "__main__":
  print_directory_md('.')




