


"""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 CLIPSegProcessor, ViTImageProcessor



@require_vision
class   _a      (      unittest.TestCase ):
    def      _UpperCamelCase       ( self							:					Tuple				):
          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(_a							,					range(len(_a				)				)				)				)
          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(_a				) + '\n'				)
          with open(self.merges_file							,					'w'							,					encoding='utf-8'				) as fp:
                fp.write('\n'.join(_a				)				)

          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							,					_a				)
          with open(self.image_processor_file							,					'w'							,					encoding='utf-8'				) as fp:
                json.dump(_a							,					_a				)
    def      _UpperCamelCase       ( self							:					Optional[int]							,					**SCREAMING_SNAKE_CASE__							:					List[str]				):
          return CLIPTokenizer.from_pretrained(self.tmpdirname							,					**_a				)
    def      _UpperCamelCase       ( self							:					int							,					**SCREAMING_SNAKE_CASE__							:					Any				):
          return CLIPTokenizerFast.from_pretrained(self.tmpdirname							,					**_a				)
    def      _UpperCamelCase       ( self							:					Optional[int]							,					**SCREAMING_SNAKE_CASE__							:					Tuple				):
          return ViTImageProcessor.from_pretrained(self.tmpdirname							,					**_a				)
    def      _UpperCamelCase       ( self							:					Union[str, Any]				):
          shutil.rmtree(self.tmpdirname				)
    def      _UpperCamelCase       ( self							:					List[str]				):
          lowerCamelCase__           =		[np.random.randint(2_55							,					size=(3, 30, 4_00)							,					dtype=np.uinta				)]

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

          return image_inputs
    def      _UpperCamelCase       ( self							:					List[str]				):
          lowerCamelCase__           =		self.get_tokenizer()
          lowerCamelCase__           =		self.get_rust_tokenizer()
          lowerCamelCase__           =		self.get_image_processor()

          lowerCamelCase__           =		CLIPSegProcessor(tokenizer=_a							,					image_processor=_a				)
          processor_slow.save_pretrained(self.tmpdirname				)
          lowerCamelCase__           =		CLIPSegProcessor.from_pretrained(self.tmpdirname							,					use_fast=_a				)

          lowerCamelCase__           =		CLIPSegProcessor(tokenizer=_a							,					image_processor=_a				)
          processor_fast.save_pretrained(self.tmpdirname				)
          lowerCamelCase__           =		CLIPSegProcessor.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      _UpperCamelCase       ( self							:					Dict				):
          lowerCamelCase__           =		CLIPSegProcessor(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=_a							,					padding_value=1.0				)

          lowerCamelCase__           =		CLIPSegProcessor.from_pretrained(
              self.tmpdirname							,					bos_token='(BOS)'							,					eos_token='(EOS)'							,					do_normalize=_a							,					padding_value=1.0				)

          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      _UpperCamelCase       ( self							:					Tuple				):
          lowerCamelCase__           =		self.get_image_processor()
          lowerCamelCase__           =		self.get_tokenizer()

          lowerCamelCase__           =		CLIPSegProcessor(tokenizer=_a							,					image_processor=_a				)

          lowerCamelCase__           =		self.prepare_image_inputs()

          lowerCamelCase__           =		image_processor(_a							,					return_tensors='np'				)
          lowerCamelCase__           =		processor(images=_a							,					return_tensors='np'				)

          for key in input_feat_extract.keys():
                self.assertAlmostEqual(input_feat_extract[key].sum()							,					input_processor[key].sum()							,					delta=1e-2				)
    def      _UpperCamelCase       ( self							:					Tuple				):
          lowerCamelCase__           =		self.get_image_processor()
          lowerCamelCase__           =		self.get_tokenizer()

          lowerCamelCase__           =		CLIPSegProcessor(tokenizer=_a							,					image_processor=_a				)

          lowerCamelCase__           =		"""lower newer"""

          lowerCamelCase__           =		processor(text=_a				)

          lowerCamelCase__           =		tokenizer(_a				)

          for key in encoded_tok.keys():
                self.assertListEqual(encoded_tok[key]							,					encoded_processor[key]				)
    def      _UpperCamelCase       ( self							:					Tuple				):
          lowerCamelCase__           =		self.get_image_processor()
          lowerCamelCase__           =		self.get_tokenizer()

          lowerCamelCase__           =		CLIPSegProcessor(tokenizer=_a							,					image_processor=_a				)

          lowerCamelCase__           =		"""lower newer"""
          lowerCamelCase__           =		self.prepare_image_inputs()

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

          lowerCamelCase__           =		CLIPSegProcessor(tokenizer=_a							,					image_processor=_a				)

          lowerCamelCase__           =		self.prepare_image_inputs()
          lowerCamelCase__           =		self.prepare_image_inputs()

          lowerCamelCase__           =		processor(images=_a							,					visual_prompt=_a				)

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

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


    def      _UpperCamelCase       ( self							:					int				):
          lowerCamelCase__           =		self.get_image_processor()
          lowerCamelCase__           =		self.get_tokenizer()

          lowerCamelCase__           =		CLIPSegProcessor(tokenizer=_a							,					image_processor=_a				)

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

          lowerCamelCase__           =		processor.batch_decode(_a				)
          lowerCamelCase__           =		tokenizer.batch_decode(_a				)

          self.assertListEqual(_a							,					_a				)







"""simple docstring"""


def   snake_case						(				_a:     int							)->		int:
      '''simple docstring'''


      lowerCamelCase__           =		1
      for i in range(1		,   num + 1							):
            fact *= i
      return fact



def   snake_case						(				_a:     int							)->		int:
      '''simple docstring'''


      lowerCamelCase__           =		0
      while number > 0:
            lowerCamelCase__           =		number % 10
            sum_of_digits += last_digit
            lowerCamelCase__           =		number // 10  # Removing the last_digit from the given number
      return sum_of_digits



def   snake_case						(				_a:     int = 100							)->		int:
      '''simple docstring'''


      lowerCamelCase__           =		factorial(_a							)
      lowerCamelCase__           =		split_and_add(_a							)
      return result


if __name__ == "__main__":
   print(solution(int(input("Enter the Number: ").strip())))



