



'''simple docstring'''





import json
import os
import unittest

from transformers import OpenAIGPTTokenizer, OpenAIGPTTokenizerFast
from transformers.models.openai.tokenization_openai import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_spacy, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class 					snake_case			(UpperCamelCase		,   unittest.TestCase ):
       lowerCAmelCase__	:List[Any]     =       OpenAIGPTTokenizer
       lowerCAmelCase__	:Any     =       OpenAIGPTTokenizerFast
       lowerCAmelCase__	:Optional[int]     =       True
       lowerCAmelCase__	:Any     =       False



       def 				_a   (					self   )	->				str:
           super().setUp()

           # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
           lowercase__									=    [
               "l",
               "o",
               "w",
               "e",
               "r",
               "s",
               "t",
               "i",
               "d",
               "n",
               "w</w>",
               "r</w>",
               "t</w>",
               "lo",
               "low",
               "er</w>",
               "low</w>",
               "lowest</w>",
               "newer</w>",
               "wider</w>",
               "<unk>",
           ]
           lowercase__									=    dict(zip(UpperCAmelCase_  ,range(len(UpperCAmelCase_   )   )   )   )
           lowercase__									=    ["#version: 0.2", "l o", "lo w", "e r</w>", ""]

           lowercase__									=    os.path.join(self.tmpdirname  ,VOCAB_FILES_NAMES["vocab_file"]   )
           lowercase__									=    os.path.join(self.tmpdirname  ,VOCAB_FILES_NAMES["merges_file"]   )
           with open(self.vocab_file  ,"w"   ) as fp:
               fp.write(json.dumps(UpperCAmelCase_   )   )
           with open(self.merges_file  ,"w"   ) as fp:
               fp.write("\n".join(UpperCAmelCase_   )   )



       def 				_a   (					self  ,UpperCAmelCase_   )	->				str:
           return "lower newer", "lower newer"



       def 				_a   (					self   )	->				Optional[int]:
           lowercase__									=    OpenAIGPTTokenizer(self.vocab_file  ,self.merges_file   )

           lowercase__									=    "lower"
           lowercase__									=    ["low", "er</w>"]
           lowercase__									=    tokenizer.tokenize(UpperCAmelCase_   )
           self.assertListEqual(UpperCAmelCase_  ,UpperCAmelCase_   )

           lowercase__									=    tokens + ["<unk>"]
           lowercase__									=    [14, 15, 20]
           self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase_   )  ,UpperCAmelCase_   )



       def 				_a   (					self  ,UpperCAmelCase_=15   )	->				Dict:
           for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
               with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''   ):
                   lowercase__									=    self.rust_tokenizer_class.from_pretrained(UpperCAmelCase_  ,**UpperCAmelCase_   )

                   # Simple input
                   lowercase__									=    "This is a simple input"
                   lowercase__									=    ["This is a simple input 1", "This is a simple input 2"]
                   lowercase__									=    ("This is a simple input", "This is a pair")
                   lowercase__									=    [
                       ("This is a simple input 1", "This is a simple input 2"),
                       ("This is a simple pair 1", "This is a simple pair 2"),
                   ]

                   # Simple input tests
                   self.assertRaises(UpperCAmelCase_  ,tokenizer_r.encode  ,UpperCAmelCase_  ,max_length=UpperCAmelCase_  ,padding="max_length"   )

                   # Simple input
                   self.assertRaises(UpperCAmelCase_  ,tokenizer_r.encode_plus  ,UpperCAmelCase_  ,max_length=UpperCAmelCase_  ,padding="max_length"   )

                   # Simple input
                   self.assertRaises(
                       UpperCAmelCase_  ,tokenizer_r.batch_encode_plus  ,UpperCAmelCase_  ,max_length=UpperCAmelCase_  ,padding="max_length"  ,)

                   # Pair input
                   self.assertRaises(UpperCAmelCase_  ,tokenizer_r.encode  ,UpperCAmelCase_  ,max_length=UpperCAmelCase_  ,padding="max_length"   )

                   # Pair input
                   self.assertRaises(UpperCAmelCase_  ,tokenizer_r.encode_plus  ,UpperCAmelCase_  ,max_length=UpperCAmelCase_  ,padding="max_length"   )

                   # Pair input
                   self.assertRaises(
                       UpperCAmelCase_  ,tokenizer_r.batch_encode_plus  ,UpperCAmelCase_  ,max_length=UpperCAmelCase_  ,padding="max_length"  ,)







       def 				_a   (					self   )	->				Dict:
           pass





@require_ftfy
@require_spacy
@require_tokenizers
class 					snake_case			(UpperCamelCase ):
       pass









'''simple docstring'''





def 							lowerCamelCase	(					_snake_case	:    int  ,_snake_case	:    int							):





    '''simple docstring'''


    return "\n".join(
        f'''{number} * {i} = {number * i}''' for i in range(1  ,number_of_terms + 1							)							)


if __name__ == "__main__":
 print(multiplication_table(number=5, number_of_terms=10))




