

'''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 CLIPImageProcessor, CLIPProcessor







@require_vision
class 						lowerCAmelCase__   (      unittest.TestCase					):



 """simple docstring"""



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


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      tempfile.mkdtemp()

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

      __SCREAMING_SNAKE_CASE     =      os.path.join(self.tmpdirname					,							VOCAB_FILES_NAMES["""vocab_file"""]			)
      __SCREAMING_SNAKE_CASE     =      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			)			)

      __SCREAMING_SNAKE_CASE     =      {
          '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],
      }
      __SCREAMING_SNAKE_CASE     =      os.path.join(self.tmpdirname					,							_UpperCAmelCase			)
      with open(self.image_processor_file					,							"""w"""					,							encoding="""utf-8"""			) as fp:
           json.dump(_UpperCAmelCase					,							_UpperCAmelCase			)
 def       UpperCAmelCase__		(		self					:       Optional[int]					,							**__SCREAMING_SNAKE_CASE					:       Any			)  -> str:


      """simple docstring"""




      return CLIPTokenizer.from_pretrained(self.tmpdirname					,							**_UpperCAmelCase			)
 def       UpperCAmelCase__		(		self					:       Union[str, Any]					,							**__SCREAMING_SNAKE_CASE					:       str			)  -> Dict:


      """simple docstring"""




      return CLIPTokenizerFast.from_pretrained(self.tmpdirname					,							**_UpperCAmelCase			)
 def       UpperCAmelCase__		(		self					:       Union[str, Any]					,							**__SCREAMING_SNAKE_CASE					:       int			)  -> Optional[int]:


      """simple docstring"""




      return CLIPImageProcessor.from_pretrained(self.tmpdirname					,							**_UpperCAmelCase			)
 def       UpperCAmelCase__		(		self					:       str			)  -> Tuple:


      """simple docstring"""




      shutil.rmtree(self.tmpdirname			)
 def       UpperCAmelCase__		(		self					:       List[Any]			)  -> Tuple:


      """simple docstring"""




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

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

      return image_inputs
 def       UpperCAmelCase__		(		self					:       Any			)  -> Tuple:


      """simple docstring"""




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

      __SCREAMING_SNAKE_CASE     =      CLIPProcessor(tokenizer=_UpperCAmelCase					,							image_processor=_UpperCAmelCase			)
      processor_slow.save_pretrained(self.tmpdirname			)
      __SCREAMING_SNAKE_CASE     =      CLIPProcessor.from_pretrained(self.tmpdirname					,							use_fast=_UpperCAmelCase			)

      __SCREAMING_SNAKE_CASE     =      CLIPProcessor(tokenizer=_UpperCAmelCase					,							image_processor=_UpperCAmelCase			)
      processor_fast.save_pretrained(self.tmpdirname			)
      __SCREAMING_SNAKE_CASE     =      CLIPProcessor.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       UpperCAmelCase__		(		self					:       Any			)  -> List[str]:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      CLIPProcessor(tokenizer=self.get_tokenizer()					,							image_processor=self.get_image_processor()			)
      processor.save_pretrained(self.tmpdirname			)

      __SCREAMING_SNAKE_CASE     =      self.get_tokenizer(bos_token="""(BOS)"""					,							eos_token="""(EOS)"""			)
      __SCREAMING_SNAKE_CASE     =      self.get_image_processor(do_normalize=_UpperCAmelCase					,							padding_value=1.0			)

      __SCREAMING_SNAKE_CASE     =      CLIPProcessor.from_pretrained(
          self.tmpdirname					,							bos_token="""(BOS)"""					,							eos_token="""(EOS)"""					,							do_normalize=_UpperCAmelCase					,							padding_value=1.0			)

      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       UpperCAmelCase__		(		self					:       Dict			)  -> Union[str, Any]:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      self.get_image_processor()
      __SCREAMING_SNAKE_CASE     =      self.get_tokenizer()

      __SCREAMING_SNAKE_CASE     =      CLIPProcessor(tokenizer=_UpperCAmelCase					,							image_processor=_UpperCAmelCase			)

      __SCREAMING_SNAKE_CASE     =      self.prepare_image_inputs()

      __SCREAMING_SNAKE_CASE     =      image_processor(_UpperCAmelCase					,							return_tensors="""np"""			)
      __SCREAMING_SNAKE_CASE     =      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       UpperCAmelCase__		(		self					:       Any			)  -> List[str]:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      self.get_image_processor()
      __SCREAMING_SNAKE_CASE     =      self.get_tokenizer()

      __SCREAMING_SNAKE_CASE     =      CLIPProcessor(tokenizer=_UpperCAmelCase					,							image_processor=_UpperCAmelCase			)

      __SCREAMING_SNAKE_CASE     =      'lower newer'

      __SCREAMING_SNAKE_CASE     =      processor(text=_UpperCAmelCase			)

      __SCREAMING_SNAKE_CASE     =      tokenizer(_UpperCAmelCase			)

      for key in encoded_tok.keys():
           self.assertListEqual(encoded_tok[key]					,							encoded_processor[key]			)
 def       UpperCAmelCase__		(		self					:       Optional[Any]			)  -> Dict:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      self.get_image_processor()
      __SCREAMING_SNAKE_CASE     =      self.get_tokenizer()

      __SCREAMING_SNAKE_CASE     =      CLIPProcessor(tokenizer=_UpperCAmelCase					,							image_processor=_UpperCAmelCase			)

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

      __SCREAMING_SNAKE_CASE     =      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       UpperCAmelCase__		(		self					:       Optional[Any]			)  -> Union[str, Any]:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      self.get_image_processor()
      __SCREAMING_SNAKE_CASE     =      self.get_tokenizer()

      __SCREAMING_SNAKE_CASE     =      CLIPProcessor(tokenizer=_UpperCAmelCase					,							image_processor=_UpperCAmelCase			)

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

      __SCREAMING_SNAKE_CASE     =      processor.batch_decode(_UpperCAmelCase			)
      __SCREAMING_SNAKE_CASE     =      tokenizer.batch_decode(_UpperCAmelCase			)

      self.assertListEqual(_UpperCAmelCase					,							_UpperCAmelCase			)


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


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      self.get_image_processor()
      __SCREAMING_SNAKE_CASE     =      self.get_tokenizer()

      __SCREAMING_SNAKE_CASE     =      CLIPProcessor(tokenizer=_UpperCAmelCase					,							image_processor=_UpperCAmelCase			)

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

      __SCREAMING_SNAKE_CASE     =      processor(text=_UpperCAmelCase					,							images=_UpperCAmelCase			)

      self.assertListEqual(list(inputs.keys()			)					,							processor.model_input_names			)













'''simple docstring'''




import math






def        _lowerCAmelCase			(  __snake_case  : int			)     ->     bool:

     if 1 < number < 4:
          # 2 and 3 are primes
          return True
     elif number < 2 or number % 2 == 0 or number % 3 == 0:
          # Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
          return False

     # All primes number are in format of 6k +/- 1
     for i in range(5 ,							int(math.sqrt(__snake_case			) + 1			) ,							6			):
          if number % i == 0 or number % (i + 2) == 0:
               return False
     return True






def        _lowerCAmelCase			(  __snake_case  : float = 0.1			)     ->     int:
     __A						: Tuple      =       3
     __A						: Optional[int]      =       3

     while primes / (2 * j - 1) >= ratio:
          for i in range(j * j + j + 1 ,							(j + 2) * (j + 2) ,							j + 1			):
               primes += is_prime(__snake_case			)
          j += 2
     return j


if __name__ == "__main__":
  import doctest

  doctest.testmod()