'''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     __UpperCAmelCase       ( unittest.TestCase		):





  def 						UpperCAmelCase_	(	self ):
     lowerCAmelCase_			=      tempfile.mkdtemp()

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

     lowerCAmelCase_			=      os.path.join(self.tmpdirname    ,     VOCAB_FILES_NAMES['''vocab_file'''] )
     lowerCAmelCase_			=      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 ) )

     lowerCAmelCase_			=      {
         '''do_resize''': True,
         '''size''': 20,
         '''do_center_crop''': True,
         '''crop_size''': 18,
         '''do_normalize''': True,
         '''image_mean''': [0.48_14_54_66, 0.4_57_82_75, 0.40_82_10_73],
         '''image_std''': [0.26_86_29_54, 0.26_13_02_58, 0.27_57_77_11],
     }
     lowerCAmelCase_			=      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 ):
     return CLIPTokenizer.from_pretrained(self.tmpdirname    ,     pad_token='''!'''    ,     **_lowerCamelCase )





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





  def 						UpperCAmelCase_	(	self    ,     **_lowerCamelCase ):
     return OwlViTImageProcessor.from_pretrained(self.tmpdirname    ,     **_lowerCamelCase )





  def 						UpperCAmelCase_	(	self ):
     shutil.rmtree(self.tmpdirname )





  def 						UpperCAmelCase_	(	self ):
     lowerCAmelCase_			=      [np.random.randint(255    ,     size=(3, 30, 400)    ,     dtype=np.uinta )]

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

     return image_inputs





  def 						UpperCAmelCase_	(	self ):
     lowerCAmelCase_			=      self.get_tokenizer()
     lowerCAmelCase_			=      self.get_rust_tokenizer()
     lowerCAmelCase_			=      self.get_image_processor()

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

     lowerCAmelCase_			=      OwlViTProcessor(tokenizer=_lowerCamelCase    ,     image_processor=_lowerCamelCase )
     processor_fast.save_pretrained(self.tmpdirname )
     lowerCAmelCase_			=      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 ):
     lowerCAmelCase_			=      OwlViTProcessor(tokenizer=self.get_tokenizer()    ,     image_processor=self.get_image_processor() )
     processor.save_pretrained(self.tmpdirname )

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

     lowerCAmelCase_			=      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 ):
     lowerCAmelCase_			=      self.get_image_processor()
     lowerCAmelCase_			=      self.get_tokenizer()

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

     lowerCAmelCase_			=      self.prepare_image_inputs()

     lowerCAmelCase_			=      image_processor(_lowerCamelCase    ,     return_tensors='''np''' )
     lowerCAmelCase_			=      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 ):
     lowerCAmelCase_			=      self.get_image_processor()
     lowerCAmelCase_			=      self.get_tokenizer()

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

     lowerCAmelCase_			=      '''lower newer'''

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

     lowerCAmelCase_			=      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 ):
     lowerCAmelCase_			=      self.get_image_processor()
     lowerCAmelCase_			=      self.get_tokenizer()

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

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

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

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

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

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

     lowerCAmelCase_			=      16
     lowerCAmelCase_			=      len(_lowerCamelCase )
     lowerCAmelCase_			=      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 ):
     lowerCAmelCase_			=      '''google/owlvit-base-patch32'''
     lowerCAmelCase_			=      OwlViTProcessor.from_pretrained(_lowerCamelCase )

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

     lowerCAmelCase_			=      16
     lowerCAmelCase_			=      inputs['''input_ids''']
     lowerCAmelCase_			=      [
         [4_9406, 2368, 4_9407, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
         [4_9406, 6841, 1_1301, 4_9407, 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 ):
     lowerCAmelCase_			=      self.get_image_processor()
     lowerCAmelCase_			=      self.get_tokenizer()

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

     lowerCAmelCase_			=      self.prepare_image_inputs()
     lowerCAmelCase_			=      self.prepare_image_inputs()

     lowerCAmelCase_			=      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 ):
     lowerCAmelCase_			=      self.get_image_processor()
     lowerCAmelCase_			=      self.get_tokenizer()

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

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

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

     self.assertListEqual(_lowerCamelCase    ,     _lowerCamelCase )






'''simple docstring'''

def snake_case_      (					__snake_case  :							int = 200)			->					int:
   lowerCAmelCase_			=      [1, 2, 5, 10, 20, 50, 100, 200]
   lowerCAmelCase_			=      [0] * (pence + 1)
   lowerCAmelCase_			=      1  # base case: 1 way to make 0 pence

   for coin in coins:
      for i in range(__snake_case	,   pence + 1	,   1):
         number_of_ways[i] += number_of_ways[i - coin]
   return number_of_ways[pence]


if __name__ == "__main__":
 assert solution(2_00) == 7_36_82





