






'''simple docstring'''



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

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

from ...test_tokenization_common import TokenizerTesterMixin


if is_torch_available():
      SCREAMING_SNAKE_CASE						=	'pt'
elif is_tf_available():
      SCREAMING_SNAKE_CASE						=	'tf'
else:
      SCREAMING_SNAKE_CASE						=	'jax'
class UpperCAmelCase_					(    __A				,       unittest.TestCase				):




      """simple docstring"""




      UpperCamelCase_								=			ByTaTokenizer
      UpperCamelCase_								=			False






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


       '''simple docstring'''

       super().setUp()
       lowercase					:   str				  =ByTaTokenizer()
       tokenizer.save_pretrained(self.tmpdirname		)






      @cached_property
      def 				A__      ( self			:		Optional[int]		)  ->  Union[str, Any]:


       '''simple docstring'''

       return ByTaTokenizer.from_pretrained('''google/byt5-small'''		)






      def 				A__      ( self			:		str     ,      **UpperCAmelCase			:		Any		)  ->  ByTaTokenizer:


       '''simple docstring'''

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






      def 				A__      ( self			:		str     ,      UpperCAmelCase			:		Any     ,      UpperCAmelCase			:		Tuple=False     ,      UpperCAmelCase			:		Optional[Any]=20     ,      UpperCAmelCase			:		Union[str, Any]=5		)  ->  Tuple[str, list]:


       '''simple docstring'''

       lowercase					:   int				  =[]
       for i in range(len(UpperCAmelCase		)		):
        try:
         lowercase					:   Any				  =tokenizer.decode([i]     ,      clean_up_tokenization_spaces=UpperCAmelCase		)
        except UnicodeDecodeError:
         pass
        toks.append((i, tok)		)

       lowercase					:   Any				  =list(filter(lambda UpperCAmelCase		: re.match(R'''^[ a-zA-Z]+$'''     ,      t[1]		)     ,      UpperCAmelCase		)		)
       lowercase					:   Union[str, Any]				  =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:
        lowercase					:   Dict				  =toks[:max_length]
       if min_length is not None and len(UpperCAmelCase		) < min_length and len(UpperCAmelCase		) > 0:
        while len(UpperCAmelCase		) < min_length:
         lowercase					:   Dict				  =toks + toks
        # toks_str = [t[1] for t in toks]
       lowercase					:   Union[str, Any]				  =[t[0] for t in toks]

       # Ensure consistency
       lowercase					:   Optional[Any]				  =tokenizer.decode(UpperCAmelCase     ,      clean_up_tokenization_spaces=UpperCAmelCase		)
       if " " not in output_txt and len(UpperCAmelCase		) > 1:
        lowercase					:   List[str]				  =(
            tokenizer.decode([toks_ids[0]]     ,      clean_up_tokenization_spaces=UpperCAmelCase		)
            + ''' '''
            + tokenizer.decode(toks_ids[1:]     ,      clean_up_tokenization_spaces=UpperCAmelCase		)
        )
       if with_prefix_space:
        lowercase					:   Any				  =''' ''' + output_txt
       lowercase					:   Optional[int]				  =tokenizer.encode(UpperCAmelCase     ,      add_special_tokens=UpperCAmelCase		)
       return output_txt, output_ids






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


       '''simple docstring'''

       lowercase					:   Any				  =self.ta_base_tokenizer
       lowercase					:   str				  =tokenizer(['''hi</s>''', '''I went to the gym</s>''', '''</s>''']		)
       lowercase					:   int				  =tokenizer(['''hi''', '''I went to the gym''', '''''']		)
       self.assertListEqual(batch_with_eos_added['''input_ids''']     ,      batch_without_eos_added['''input_ids''']		)






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


       '''simple docstring'''

       lowercase					:   Optional[int]				  =self.ta_base_tokenizer
       lowercase					:   List[str]				  ='''Unicode €.'''
       lowercase					:   Optional[Any]				  =tokenizer(UpperCAmelCase		)
       lowercase					:   List[Any]				  =[88, 113, 108, 102, 114, 103, 104, 35, 229, 133, 175, 49, 1]
       self.assertEqual(encoded['''input_ids''']     ,      UpperCAmelCase		)

       # decoding
       lowercase					:   List[str]				  =tokenizer.decode(UpperCAmelCase		)
       self.assertEqual(UpperCAmelCase     ,      '''Unicode €.</s>'''		)

       lowercase					:   Dict				  =tokenizer('''e è é ê ë'''		)
       lowercase					:   List[str]				  =[104, 35, 198, 171, 35, 198, 172, 35, 198, 173, 35, 198, 174, 1]
       self.assertEqual(encoded['''input_ids''']     ,      UpperCAmelCase		)
       # decoding
       lowercase					:   str				  =tokenizer.decode(UpperCAmelCase		)
       self.assertEqual(UpperCAmelCase     ,      '''e è é ê ë</s>'''		)

       # encode/decode, but with `encode` instead of `__call__`
       self.assertEqual(tokenizer.decode(tokenizer.encode('''e è é ê ë'''		)		)     ,      '''e è é ê ë</s>'''		)






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


       '''simple docstring'''

       lowercase					:   Tuple				  =self.ta_base_tokenizer
       lowercase					:   Optional[Any]				  =['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
       # fmt: off
       lowercase					:   int				  =[68, 35, 111, 114, 113, 106, 35, 115, 100, 117, 100, 106, 117, 100, 115, 107, 35, 105, 114, 117, 35, 118, 120, 112, 112, 100, 117, 108, 125, 100, 119, 108, 114, 113, 49, 1, 0]
       # fmt: on
       lowercase					:   Dict				  =tokenizer(UpperCAmelCase     ,      padding=UpperCAmelCase     ,      return_tensors=UpperCAmelCase		)
       self.assertIsInstance(UpperCAmelCase     ,      UpperCAmelCase		)

       if FRAMEWORK != "jax":
        lowercase					:   List[Any]				  =list(batch.input_ids.numpy()[0]		)
       else:
        lowercase					:   int				  =list(batch.input_ids.tolist()[0]		)

       self.assertListEqual(UpperCAmelCase     ,      UpperCAmelCase		)

       self.assertEqual((2, 37)     ,      batch.input_ids.shape		)
       self.assertEqual((2, 37)     ,      batch.attention_mask.shape		)






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


       '''simple docstring'''

       lowercase					:   Union[str, Any]				  =self.ta_base_tokenizer
       lowercase					:   Any				  =['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
       lowercase					:   Dict				  =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 				A__      ( self			:		List[Any]		)  ->  Optional[Any]:


       '''simple docstring'''

       lowercase					:   int				  =self.ta_base_tokenizer
       lowercase					:   Dict				  =[
           '''Summary of the text.''',
           '''Another summary.''',
       ]
       lowercase					:   List[Any]				  =tokenizer(
           text_target=UpperCAmelCase     ,      max_length=32     ,      padding='''max_length'''     ,      truncation=UpperCAmelCase     ,      return_tensors=UpperCAmelCase		)
       self.assertEqual(32     ,      targets['''input_ids'''].shape[1]		)






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


       '''simple docstring'''

       lowercase					:   List[Any]				  =self.ta_base_tokenizer
       lowercase					:   Union[str, Any]				  =['''A long paragraph for summarization. </s>''']
       lowercase					:   Dict				  =['''Summary of the text. </s>''']
       # fmt: off
       lowercase					:   Tuple				  =[68, 35, 111, 114, 113, 106, 35, 115, 100, 117, 100, 106, 117, 100, 115, 107, 35, 105, 114, 117, 35, 118, 120, 112, 112, 100, 117, 108, 125, 100, 119, 108, 114, 113, 49, 35, 1]
       lowercase					:   Optional[int]				  =[86, 120, 112, 112, 100, 117, 124, 35, 114, 105, 35, 119, 107, 104, 35, 119, 104, 123, 119, 49, 35, 1]
       # fmt: on

       lowercase					:   Tuple				  =tokenizer(UpperCAmelCase     ,      text_target=UpperCAmelCase		)

       self.assertEqual(UpperCAmelCase     ,      batch['''input_ids'''][0]		)
       self.assertEqual(UpperCAmelCase     ,      batch['''labels'''][0]		)






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


       '''simple docstring'''

       lowercase					:   Optional[int]				  =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
       lowercase					:   Optional[int]				  =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
         lowercase					:   Any				  =tempfile.mkdtemp()

         lowercase					:   Dict				  =''' He is very happy, UNwant\u00E9d,running'''
         lowercase					:   Optional[int]				  =tokenizer.encode(UpperCAmelCase     ,      add_special_tokens=UpperCAmelCase		)
         tokenizer.save_pretrained(UpperCAmelCase		)

         lowercase					:   str				  =tokenizer.__class__.from_pretrained(UpperCAmelCase		)
         lowercase					:   Dict				  =after_tokenizer.encode(UpperCAmelCase     ,      add_special_tokens=UpperCAmelCase		)
         self.assertListEqual(UpperCAmelCase     ,      UpperCAmelCase		)

         shutil.rmtree(UpperCAmelCase		)

       lowercase					:   Tuple				  =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
         lowercase					:   Optional[int]				  =tempfile.mkdtemp()

         lowercase					:   Dict				  =''' He is very happy, UNwant\u00E9d,running'''
         tokenizer.add_tokens(['''bim''', '''bambam''']		)
         lowercase					:   Optional[Any]				  =tokenizer.additional_special_tokens
         additional_special_tokens.append('''new_additional_special_token'''		)
         tokenizer.add_special_tokens({'''additional_special_tokens''': additional_special_tokens}		)
         lowercase					:   str				  =tokenizer.encode(UpperCAmelCase     ,      add_special_tokens=UpperCAmelCase		)
         tokenizer.save_pretrained(UpperCAmelCase		)

         lowercase					:   Tuple				  =tokenizer.__class__.from_pretrained(UpperCAmelCase		)
         lowercase					:   Optional[int]				  =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		)

         lowercase					:   List[Any]				  =tokenizer.__class__.from_pretrained(UpperCAmelCase     ,      model_max_length=43		)
         self.assertEqual(tokenizer.model_max_length     ,      43		)

         shutil.rmtree(UpperCAmelCase		)






      def 				A__      ( self			:		Any		)  ->  int:


       '''simple docstring'''

       lowercase					:   Optional[int]				  =[]
       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:
          lowercase					:   List[Any]				  =json.load(UpperCAmelCase		)

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

         lowercase					:   List[str]				  =[f'<extra_id_{i}>' for i in range(125		)]

         lowercase					:   Dict				  =added_tokens_extra_ids + [
             '''an_additional_special_token'''
         ]
         lowercase					:   List[Any]				  =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
         lowercase					:   Optional[int]				  =tokenizer_class.from_pretrained(
             UpperCAmelCase     ,      )
         self.assertIn(
             '''an_additional_special_token'''     ,      tokenizer_without_change_in_init.additional_special_tokens		)
         # self.assertIn("an_additional_special_token",tokenizer_without_change_in_init.get_vocab()) # ByT5Tokenization no vocab
         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
         lowercase					:   List[Any]				  =added_tokens_extra_ids + [AddedToken('''a_new_additional_special_token'''     ,      lstrip=UpperCAmelCase		)]
         lowercase					:   int				  =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 				A__      ( self			:		Tuple		)  ->  List[str]:


       '''simple docstring'''

       lowercase					:   Optional[Any]				  =[]
       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		)

         lowercase					:   Union[str, Any]				  =tokenizer_class.from_pretrained(UpperCAmelCase		)

         self.assertTrue(tokenizer.decode([255]		) == ''''''		)






      def 				A__      ( self			:		Tuple		)  ->  Optional[Any]:


       '''simple docstring'''

       pass






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


       '''simple docstring'''

       pass






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


       '''simple docstring'''

       pass






      def 				A__      ( self			:		List[Any]		)  ->  List[Any]:


       '''simple docstring'''

       pass






      def 				A__      ( self			:		Optional[Any]		)  ->  Any:


       '''simple docstring'''

       lowercase					:   Tuple				  =self.get_tokenizers(fast=UpperCAmelCase     ,      do_lower_case=UpperCAmelCase		)
       for tokenizer in tokenizers:
        with self.subTest(f'{tokenizer.__class__.__name__}'		):
         lowercase					:   Dict				  =['''t''', '''h''', '''i''', '''s''', ''' ''', '''i''', '''s''', ''' ''', '''a''', ''' ''', '''t''', '''e''', '''x''', '''t''', '''</s>''']
         lowercase					:   Optional[int]				  =tokenizer.convert_tokens_to_string(UpperCAmelCase		)

         self.assertIsInstance(UpperCAmelCase     ,      UpperCAmelCase		)






      def 				A__      ( self			:		List[Any]		)  ->  Tuple:


       '''simple docstring'''

       lowercase					:   Dict				  =self.get_tokenizers()
       for tokenizer in tokenizers:
        with self.subTest(f'{tokenizer.__class__.__name__}'		):
         lowercase					:   List[str]				  =[
             '''bos_token''',
             '''eos_token''',
             '''unk_token''',
             '''sep_token''',
             '''pad_token''',
             '''cls_token''',
             '''mask_token''',
         ]

         lowercase					:   Dict				  =0
         lowercase					:   Any				  =tokenizer.convert_ids_to_tokens(
             UpperCAmelCase     ,      skip_special_tokens=UpperCAmelCase		)

         for attr in attributes_list:
          setattr(UpperCAmelCase     ,      attr + '''_id'''     ,      UpperCAmelCase		)
          self.assertEqual(getattr(UpperCAmelCase     ,      UpperCAmelCase		)     ,      UpperCAmelCase		)
          self.assertEqual(getattr(UpperCAmelCase     ,      attr + '''_id'''		)     ,      UpperCAmelCase		)

          setattr(UpperCAmelCase     ,      attr + '''_id'''     ,      UpperCAmelCase		)
          self.assertEqual(getattr(UpperCAmelCase     ,      UpperCAmelCase		)     ,      UpperCAmelCase		)
          self.assertEqual(getattr(UpperCAmelCase     ,      attr + '''_id'''		)     ,      UpperCAmelCase		)

         setattr(UpperCAmelCase     ,      '''additional_special_tokens_ids'''     ,      []		)
         self.assertListEqual(getattr(UpperCAmelCase     ,      '''additional_special_tokens'''		)     ,      []		)
         self.assertListEqual(getattr(UpperCAmelCase     ,      '''additional_special_tokens_ids'''		)     ,      []		)

         setattr(UpperCAmelCase     ,      '''additional_special_tokens_ids'''     ,      [token_id_to_test_setters]		)
         self.assertListEqual(getattr(UpperCAmelCase     ,      '''additional_special_tokens'''		)     ,      [token_to_test_setters]		)
         self.assertListEqual(getattr(UpperCAmelCase     ,      '''additional_special_tokens_ids'''		)     ,      [token_id_to_test_setters]		)











'''simple docstring'''



from __future__ import annotations

import math


def 							lowercase_				(    __A :       float					,      __A :       int			)       ->      float:



 """simple docstring"""




 lowercase					:   str				  =u
 for i in range(1					,      __A			):
  lowercase					:   Any				  =temp * (u - i)
 return temp


def 							lowercase_				(    )       ->      None:



 """simple docstring"""




 lowercase					:   List[str]				  =int(input('''enter the numbers of values: '''			)			)
 lowercase					:   list[list[float]]				  =[]
 for _ in range(__A			):
  y.append([]			)
 for i in range(__A			):
  for j in range(__A			):
   y[i].append(__A			)
   lowercase					:   List[Any]				  =0

 print('''enter the values of parameters in a list: '''			)
 lowercase					:   Optional[int]				  =list(map(__A					,      input().split()			)			)

 print('''enter the values of corresponding parameters: '''			)
 for i in range(__A			):
  lowercase					:   str				  =float(input()			)

 lowercase					:   int				  =int(input('''enter the value to interpolate: '''			)			)
 lowercase					:   Union[str, Any]				  =(value - x[0]) / (x[1] - x[0])

 # for calculating forward difference table

 for i in range(1					,      __A			):
  for j in range(n - i			):
   lowercase					:   str				  =y[j + 1][i - 1] - y[j][i - 1]

 lowercase					:   Any				  =y[0][0]
 for i in range(1					,      __A			):
  summ += (ucal(__A					,      __A			) * y[0][i]) / math.factorial(__A			)

 print(F'the value at {value} is {summ}'			)


if __name__ == "__main__":
      main()



