




import json
import os
import re
import shutil
import tempfile
import unittest
from typing import Tuple

from transformers import AddedToken, BatchEncoding, PerceiverTokenizer
from transformers.utils import cached_property, is_tf_available, is_torch_available

from ...test_tokenization_common import TokenizerTesterMixin


if is_torch_available():
  _lowerCamelCase			:	List[Any]							 =     """pt"""
elif is_tf_available():
  _lowerCamelCase			:	int							 =     """tf"""
else:
  _lowerCamelCase			:	Dict							 =     """jax"""


class        UpperCamelCase_					(				UpperCAmelCase__	,      unittest.TestCase  ):

    '''simple docstring'''






    UpperCAmelCase__													=   PerceiverTokenizer
    UpperCAmelCase__													=   False


    def  SCREAMING_SNAKE_CASE							(    self   :			int)		->int:





           '''simple docstring'''

           super().setUp()
           A__   				=					PerceiverTokenizer()
           tokenizer.save_pretrained(self.tmpdirname)


    @cached_property
    def  SCREAMING_SNAKE_CASE							(    self   :			Any)		->Any:





           '''simple docstring'''

           return PerceiverTokenizer.from_pretrained('''deepmind/language-perceiver''')


    def  SCREAMING_SNAKE_CASE							(    self   :			Optional[Any]      ,				**UpperCAmelCase__   :			List[str])		->PerceiverTokenizer:





           '''simple docstring'''

           return self.tokenizer_class.from_pretrained(self.tmpdirname      ,				**UpperCAmelCase__)


    def  SCREAMING_SNAKE_CASE							(    self   :			int      ,				UpperCAmelCase__   :			List[Any]      ,				UpperCAmelCase__   :			Optional[int]=False      ,				UpperCAmelCase__   :			Union[str, Any]=20      ,				UpperCAmelCase__   :			Dict=5)		->Tuple[str, list]:





           '''simple docstring'''

           A__   				=					[]
           for i in range(len(UpperCAmelCase__)):
                  try:
                         A__   				=					tokenizer.decode([i]      ,				clean_up_tokenization_spaces=UpperCAmelCase__)
                  except UnicodeDecodeError:
                         pass
                  toks.append((i, tok))

           A__   				=					list(filter(lambda UpperCAmelCase__: re.match(R'''^[ a-zA-Z]+$'''      ,				t[1])      ,				UpperCAmelCase__))
           A__   				=					list(filter(lambda UpperCAmelCase__: [t[0]] == tokenizer.encode(t[1]      ,				add_special_tokens=UpperCAmelCase__)      ,				UpperCAmelCase__))
           if max_length is not None and len(UpperCAmelCase__) > max_length:
                  A__   				=					toks[:max_length]
           if min_length is not None and len(UpperCAmelCase__) < min_length and len(UpperCAmelCase__) > 0:
                  while len(UpperCAmelCase__) < min_length:
                         A__   				=					toks + toks
        # toks_str = [t[1] for t in toks]
           A__   				=					[t[0] for t in toks]

           # Ensure consistency
           A__   				=					tokenizer.decode(UpperCAmelCase__      ,				clean_up_tokenization_spaces=UpperCAmelCase__)
           if " " not in output_txt and len(UpperCAmelCase__) > 1:
                  A__   				=					(
                      tokenizer.decode([toks_ids[0]]      ,				clean_up_tokenization_spaces=UpperCAmelCase__)
                      + ''' '''
                      + tokenizer.decode(toks_ids[1:]      ,				clean_up_tokenization_spaces=UpperCAmelCase__)
                  )
           if with_prefix_space:
                  A__   				=					''' ''' + output_txt
           A__   				=					tokenizer.encode(UpperCAmelCase__      ,				add_special_tokens=UpperCAmelCase__)
           return output_txt, output_ids


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





           '''simple docstring'''

           A__   				=					self.perceiver_tokenizer
           A__   				=					'''Unicode €.'''
           A__   				=					tokenizer(UpperCAmelCase__)
           A__   				=					[4, 91, 116, 111, 105, 117, 106, 107, 38, 232, 136, 178, 52, 5]
           self.assertEqual(encoded['''input_ids''']      ,				UpperCAmelCase__)

           # decoding
           A__   				=					tokenizer.decode(UpperCAmelCase__)
           self.assertEqual(UpperCAmelCase__      ,				'''[CLS]Unicode €.[SEP]''')

           A__   				=					tokenizer('''e è é ê ë''')
           A__   				=					[4, 107, 38, 201, 174, 38, 201, 175, 38, 201, 176, 38, 201, 177, 5]
           self.assertEqual(encoded['''input_ids''']      ,				UpperCAmelCase__)
           # decoding
           A__   				=					tokenizer.decode(UpperCAmelCase__)
           self.assertEqual(UpperCAmelCase__      ,				'''[CLS]e è é ê ë[SEP]''')

           # encode/decode, but with `encode` instead of `__call__`
           self.assertEqual(tokenizer.decode(tokenizer.encode('''e è é ê ë'''))      ,				'''[CLS]e è é ê ë[SEP]''')


    def  SCREAMING_SNAKE_CASE							(    self   :			Optional[Any])		->Dict:





           '''simple docstring'''

           A__   				=					self.perceiver_tokenizer
           A__   				=					['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
           # fmt: off
           A__   				=					[4, 71, 38, 114, 117, 116, 109, 38, 118, 103, 120, 103, 109, 120, 103, 118, 110, 38, 108, 117, 120, 38, 121, 123, 115, 115, 103, 120, 111, 128, 103, 122, 111, 117, 116, 52, 5, 0]
           # fmt: on
           A__   				=					tokenizer(UpperCAmelCase__      ,				padding=UpperCAmelCase__      ,				return_tensors=UpperCAmelCase__)
           self.assertIsInstance(UpperCAmelCase__      ,				UpperCAmelCase__)

           if FRAMEWORK != "jax":
                  A__   				=					list(batch.input_ids.numpy()[0])
           else:
                  A__   				=					list(batch.input_ids.tolist()[0])

           self.assertListEqual(UpperCAmelCase__      ,				UpperCAmelCase__)

           self.assertEqual((2, 38)      ,				batch.input_ids.shape)
           self.assertEqual((2, 38)      ,				batch.attention_mask.shape)


    def  SCREAMING_SNAKE_CASE							(    self   :			Tuple)		->Any:





           '''simple docstring'''

           A__   				=					self.perceiver_tokenizer
           A__   				=					['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
           A__   				=					tokenizer(UpperCAmelCase__      ,				padding=UpperCAmelCase__      ,				return_tensors=UpperCAmelCase__)
           # check if input_ids are returned and no decoder_input_ids
           self.assertIn('''input_ids'''      ,				UpperCAmelCase__)
           self.assertIn('''attention_mask'''      ,				UpperCAmelCase__)
           self.assertNotIn('''decoder_input_ids'''      ,				UpperCAmelCase__)
           self.assertNotIn('''decoder_attention_mask'''      ,				UpperCAmelCase__)


    def  SCREAMING_SNAKE_CASE							(    self   :			Dict)		->Tuple:





           '''simple docstring'''

           A__   				=					self.perceiver_tokenizer
           A__   				=					[
               '''Summary of the text.''',
               '''Another summary.''',
           ]
           A__   				=					tokenizer(
               text_target=UpperCAmelCase__      ,				max_length=32      ,				padding='''max_length'''      ,				truncation=UpperCAmelCase__      ,				return_tensors=UpperCAmelCase__)
           self.assertEqual(32      ,				targets['''input_ids'''].shape[1])


    def  SCREAMING_SNAKE_CASE							(    self   :			Dict)		->Tuple:





           '''simple docstring'''

           A__   				=					self.get_tokenizers()
           for tokenizer in tokenizers:
                  with self.subTest(f"""{tokenizer.__class__.__name__}"""):
                         self.assertNotEqual(tokenizer.model_max_length      ,				42)

        # Now let's start the test
           A__   				=					self.get_tokenizers()
           for tokenizer in tokenizers:
                  with self.subTest(f"""{tokenizer.__class__.__name__}"""):
                         # Isolate this from the other tests because we save additional tokens/etc
                         A__   				=					tempfile.mkdtemp()

                         A__   				=					''' He is very happy, UNwant\u00E9d,running'''
                         A__   				=					tokenizer.encode(UpperCAmelCase__      ,				add_special_tokens=UpperCAmelCase__)
                         tokenizer.save_pretrained(UpperCAmelCase__)

                         A__   				=					tokenizer.__class__.from_pretrained(UpperCAmelCase__)
                         A__   				=					after_tokenizer.encode(UpperCAmelCase__      ,				add_special_tokens=UpperCAmelCase__)
                         self.assertListEqual(UpperCAmelCase__      ,				UpperCAmelCase__)

                         shutil.rmtree(UpperCAmelCase__)

           A__   				=					self.get_tokenizers(model_max_length=42)
           for tokenizer in tokenizers:
                  with self.subTest(f"""{tokenizer.__class__.__name__}"""):
                         # Isolate this from the other tests because we save additional tokens/etc
                         A__   				=					tempfile.mkdtemp()

                         A__   				=					''' He is very happy, UNwant\u00E9d,running'''
                         tokenizer.add_tokens(['''bim''', '''bambam'''])
                         A__   				=					tokenizer.additional_special_tokens
                         additional_special_tokens.append('''new_additional_special_token''')
                         tokenizer.add_special_tokens({'''additional_special_tokens''': additional_special_tokens})
                         A__   				=					tokenizer.encode(UpperCAmelCase__      ,				add_special_tokens=UpperCAmelCase__)
                         tokenizer.save_pretrained(UpperCAmelCase__)

                         A__   				=					tokenizer.__class__.from_pretrained(UpperCAmelCase__)
                         A__   				=					after_tokenizer.encode(UpperCAmelCase__      ,				add_special_tokens=UpperCAmelCase__)
                         self.assertListEqual(UpperCAmelCase__      ,				UpperCAmelCase__)
                         self.assertIn('''new_additional_special_token'''      ,				after_tokenizer.additional_special_tokens)
                         self.assertEqual(after_tokenizer.model_max_length      ,				42)

                         A__   				=					tokenizer.__class__.from_pretrained(UpperCAmelCase__      ,				model_max_length=43)
                         self.assertEqual(tokenizer.model_max_length      ,				43)

                         shutil.rmtree(UpperCAmelCase__)


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





           '''simple docstring'''

           A__   				=					[]
           if self.test_slow_tokenizer:
                  tokenizer_list.append((self.tokenizer_class, self.get_tokenizer()))

           if self.test_rust_tokenizer:
                  tokenizer_list.append((self.rust_tokenizer_class, self.get_rust_tokenizer()))

           for tokenizer_class, tokenizer_utils in tokenizer_list:
                  with tempfile.TemporaryDirectory() as tmp_dir:
                         tokenizer_utils.save_pretrained(UpperCAmelCase__)

                         with open(os.path.join(UpperCAmelCase__      ,				'''special_tokens_map.json''')      ,				encoding='''utf-8''') as json_file:
                                A__   				=					json.load(UpperCAmelCase__)

                         with open(os.path.join(UpperCAmelCase__      ,				'''tokenizer_config.json''')      ,				encoding='''utf-8''') as json_file:
                                A__   				=					json.load(UpperCAmelCase__)

                         A__   				=					[f"""<extra_id_{i}>""" for i in range(125)]

                         A__   				=					added_tokens_extra_ids + [
                             '''an_additional_special_token'''
                         ]
                         A__   				=					added_tokens_extra_ids + [
                             '''an_additional_special_token'''
                         ]

                         with open(os.path.join(UpperCAmelCase__      ,				'''special_tokens_map.json''')      ,				'''w'''      ,				encoding='''utf-8''') as outfile:
                                json.dump(UpperCAmelCase__      ,				UpperCAmelCase__)
                         with open(os.path.join(UpperCAmelCase__      ,				'''tokenizer_config.json''')      ,				'''w'''      ,				encoding='''utf-8''') as outfile:
                                json.dump(UpperCAmelCase__      ,				UpperCAmelCase__)

                         # the following checks allow us to verify that our test works as expected, i.e. that the tokenizer takes
                         # into account the new value of additional_special_tokens given in the "tokenizer_config.json" and
                         # "special_tokens_map.json" files
                         A__   				=					tokenizer_class.from_pretrained(
                             UpperCAmelCase__      ,				)
                         self.assertIn(
                             '''an_additional_special_token'''      ,				tokenizer_without_change_in_init.additional_special_tokens)
                         self.assertEqual(
                             ['''an_additional_special_token''']      ,				tokenizer_without_change_in_init.convert_ids_to_tokens(
                                 tokenizer_without_change_in_init.convert_tokens_to_ids(['''an_additional_special_token''']))      ,				)

                         # Now we test that we can change the value of additional_special_tokens in the from_pretrained
                         A__   				=					added_tokens_extra_ids + [AddedToken('''a_new_additional_special_token'''      ,				lstrip=UpperCAmelCase__)]
                         A__   				=					tokenizer_class.from_pretrained(
                             UpperCAmelCase__      ,				additional_special_tokens=UpperCAmelCase__      ,				)

                         self.assertIn('''a_new_additional_special_token'''      ,				tokenizer.additional_special_tokens)
                         self.assertEqual(
                             ['''a_new_additional_special_token''']      ,				tokenizer.convert_ids_to_tokens(
                                 tokenizer.convert_tokens_to_ids(['''a_new_additional_special_token''']))      ,				)


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





           '''simple docstring'''

           A__   				=					self.perceiver_tokenizer
           self.assertEqual(tokenizer.decode([178])      ,				'''�''')


    def  SCREAMING_SNAKE_CASE							(    self   :			str)		->Tuple:





           '''simple docstring'''

           pass


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





           '''simple docstring'''

           pass


    def  SCREAMING_SNAKE_CASE							(    self   :			Dict)		->List[Any]:





           '''simple docstring'''

           pass


    def  SCREAMING_SNAKE_CASE							(    self   :			Dict)		->str:





           '''simple docstring'''

           pass





    def  SCREAMING_SNAKE_CASE							(    self   :			Any)		->Tuple:





           '''simple docstring'''

           A__   				=					self.get_tokenizers(fast=UpperCAmelCase__      ,				do_lower_case=UpperCAmelCase__)
           for tokenizer in tokenizers:
                  with self.subTest(f"""{tokenizer.__class__.__name__}"""):
                         A__   				=					['''[CLS]''', '''t''', '''h''', '''i''', '''s''', ''' ''', '''i''', '''s''', ''' ''', '''a''', ''' ''', '''t''', '''e''', '''s''', '''t''', '''[SEP]''']
                         A__   				=					tokenizer.convert_tokens_to_string(UpperCAmelCase__)

                         self.assertIsInstance(UpperCAmelCase__      ,				UpperCAmelCase__)








def SCREAMING_SNAKE_CASE       ( lowercase_		)     -> int:



       """simple docstring"""

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







def SCREAMING_SNAKE_CASE       ( lowercase_		)     -> int:



       """simple docstring"""

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







def SCREAMING_SNAKE_CASE       ( lowercase_ = 100		)     -> int:



       """simple docstring"""

       A__   				=					factorial(lowercase_		)
       A__   				=					split_and_add(lowercase_		)
       return result


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


