





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        SCREAMING_SNAKE_CASE     (unittest.TestCase   ):


   def  SCREAMING_SNAKE_CASE_							(					self    :       Tuple )->     str:





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

     lowercase__			    =						{
         '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],
     }
     lowercase__			    =						os.path.join(self.tmpdirname    ,  SCREAMING_SNAKE_CASE_ )
     with open(self.image_processor_file    ,  'w'    ,  encoding='utf-8' ) as fp:
       json.dump(SCREAMING_SNAKE_CASE_    ,  SCREAMING_SNAKE_CASE_ )


   def  SCREAMING_SNAKE_CASE_							(					self    :       Tuple    ,  **a    :       Optional[Any] )->     List[Any]:





     """simple docstring"""







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


   def  SCREAMING_SNAKE_CASE_							(					self    :       Dict    ,  **a    :       Dict )->     List[str]:





     """simple docstring"""







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


   def  SCREAMING_SNAKE_CASE_							(					self    :       List[Any]    ,  **a    :       Dict )->     Optional[Any]:





     """simple docstring"""







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


   def  SCREAMING_SNAKE_CASE_							(					self    :       Tuple )->     Tuple:





     """simple docstring"""







     shutil.rmtree(self.tmpdirname )


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





     """simple docstring"""







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

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

     return image_inputs


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





     """simple docstring"""







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

     lowercase__			    =						OwlViTProcessor(tokenizer=SCREAMING_SNAKE_CASE_    ,  image_processor=SCREAMING_SNAKE_CASE_ )
     processor_slow.save_pretrained(self.tmpdirname )
     lowercase__			    =						OwlViTProcessor.from_pretrained(self.tmpdirname    ,  use_fast=SCREAMING_SNAKE_CASE_ )

     lowercase__			    =						OwlViTProcessor(tokenizer=SCREAMING_SNAKE_CASE_    ,  image_processor=SCREAMING_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    ,  SCREAMING_SNAKE_CASE_ )
     self.assertIsInstance(processor_fast.tokenizer    ,  SCREAMING_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    ,  SCREAMING_SNAKE_CASE_ )
     self.assertIsInstance(processor_fast.image_processor    ,  SCREAMING_SNAKE_CASE_ )


   def  SCREAMING_SNAKE_CASE_							(					self    :       str )->     Optional[Any]:





     """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=SCREAMING_SNAKE_CASE_ )

     lowercase__			    =						OwlViTProcessor.from_pretrained(
         self.tmpdirname    ,  bos_token='(BOS)'    ,  eos_token='(EOS)'    ,  do_normalize=SCREAMING_SNAKE_CASE_ )

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

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


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





     """simple docstring"""







     lowercase__			    =						self.get_image_processor()
     lowercase__			    =						self.get_tokenizer()

     lowercase__			    =						OwlViTProcessor(tokenizer=SCREAMING_SNAKE_CASE_    ,  image_processor=SCREAMING_SNAKE_CASE_ )

     lowercase__			    =						self.prepare_image_inputs()

     lowercase__			    =						image_processor(SCREAMING_SNAKE_CASE_    ,  return_tensors='np' )
     lowercase__			    =						processor(images=SCREAMING_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  SCREAMING_SNAKE_CASE_							(					self    :       Union[str, Any] )->     str:





     """simple docstring"""







     lowercase__			    =						self.get_image_processor()
     lowercase__			    =						self.get_tokenizer()

     lowercase__			    =						OwlViTProcessor(tokenizer=SCREAMING_SNAKE_CASE_    ,  image_processor=SCREAMING_SNAKE_CASE_ )

     lowercase__			    =						'lower newer'

     lowercase__			    =						processor(text=SCREAMING_SNAKE_CASE_    ,  return_tensors='np' )

     lowercase__			    =						tokenizer(SCREAMING_SNAKE_CASE_    ,  return_tensors='np' )

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


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





     """simple docstring"""







     lowercase__			    =						self.get_image_processor()
     lowercase__			    =						self.get_tokenizer()

     lowercase__			    =						OwlViTProcessor(tokenizer=SCREAMING_SNAKE_CASE_    ,  image_processor=SCREAMING_SNAKE_CASE_ )

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

     lowercase__			    =						processor(text=SCREAMING_SNAKE_CASE_    ,  images=SCREAMING_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(SCREAMING_SNAKE_CASE_ ):
       processor()


   def  SCREAMING_SNAKE_CASE_							(					self    :       Optional[int] )->     str:





     """simple docstring"""







     lowercase__			    =						'google/owlvit-base-patch32'
     lowercase__			    =						OwlViTProcessor.from_pretrained(SCREAMING_SNAKE_CASE_ )

     lowercase__			    =						['cat', 'nasa badge']
     lowercase__			    =						processor(text=SCREAMING_SNAKE_CASE_ )

     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(SCREAMING_SNAKE_CASE_ ):
       processor()


   def  SCREAMING_SNAKE_CASE_							(					self    :       str )->     int:





     """simple docstring"""







     lowercase__			    =						'google/owlvit-base-patch32'
     lowercase__			    =						OwlViTProcessor.from_pretrained(SCREAMING_SNAKE_CASE_ )

     lowercase__			    =						[['cat', 'nasa badge'], ['person']]
     lowercase__			    =						processor(text=SCREAMING_SNAKE_CASE_ )

     lowercase__			    =						16
     lowercase__			    =						len(SCREAMING_SNAKE_CASE_ )
     lowercase__			    =						max([len(SCREAMING_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(SCREAMING_SNAKE_CASE_ ):
       processor()


   def  SCREAMING_SNAKE_CASE_							(					self    :       Optional[int] )->     Tuple:





     """simple docstring"""







     lowercase__			    =						'google/owlvit-base-patch32'
     lowercase__			    =						OwlViTProcessor.from_pretrained(SCREAMING_SNAKE_CASE_ )

     lowercase__			    =						['cat', 'nasa badge']
     lowercase__			    =						processor(text=SCREAMING_SNAKE_CASE_ )

     lowercase__			    =						16
     lowercase__			    =						inputs['input_ids']
     lowercase__			    =						[
         [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  SCREAMING_SNAKE_CASE_							(					self    :       Tuple )->     Union[str, Any]:





     """simple docstring"""







     lowercase__			    =						self.get_image_processor()
     lowercase__			    =						self.get_tokenizer()

     lowercase__			    =						OwlViTProcessor(tokenizer=SCREAMING_SNAKE_CASE_    ,  image_processor=SCREAMING_SNAKE_CASE_ )

     lowercase__			    =						self.prepare_image_inputs()
     lowercase__			    =						self.prepare_image_inputs()

     lowercase__			    =						processor(images=SCREAMING_SNAKE_CASE_    ,  query_images=SCREAMING_SNAKE_CASE_ )

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

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


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





     """simple docstring"""







     lowercase__			    =						self.get_image_processor()
     lowercase__			    =						self.get_tokenizer()

     lowercase__			    =						OwlViTProcessor(tokenizer=SCREAMING_SNAKE_CASE_    ,  image_processor=SCREAMING_SNAKE_CASE_ )

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

     lowercase__			    =						processor.batch_decode(SCREAMING_SNAKE_CASE_ )
     lowercase__			    =						tokenizer.batch_decode(SCREAMING_SNAKE_CASE_ )

     self.assertListEqual(SCREAMING_SNAKE_CASE_    ,  SCREAMING_SNAKE_CASE_ )









def     __UpperCamelCase						(_SCREAMING_SNAKE_CASE = 50	)       ->     int:
  lowercase__			    =						[1] * (length + 1)

  for row_length in range(3	,		length + 1	):
    for block_length in range(3	,		row_length + 1	):
      for block_start in range(row_length - block_length	):
        ways_number[row_length] += ways_number[
            row_length - block_start - block_length - 1
        ]

      ways_number[row_length] += 1

  return ways_number[length]


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


