



'''simple docstring'''

import string
from math import logaa



def      __lowerCamelCase     (      lowerCAmelCase_						,			lowerCAmelCase_  )			->      int:
		_a     :      str        =							document.translate(
		    str.maketrans(''						,			''						,			string.punctuation  )  ).replace('\n'						,			''  )
		_a     :      List[str]        =							document_without_punctuation.split(' '  )  # word tokenization
		return len([word for word in tokenize_document if word.lower() == term.lower()]  )



def      __lowerCamelCase     (      lowerCAmelCase_						,			lowerCAmelCase_  )			->      tuple[int, int]:
		_a     :      Optional[Any]        =							corpus.lower().translate(
		    str.maketrans(''						,			''						,			string.punctuation  )  )  # strip all punctuation and replace it with ''
		_a     :      Optional[Any]        =							corpus_without_punctuation.split('\n'  )
		_a     :      Union[str, Any]        =							term.lower()
		return (len([doc for doc in docs if term in doc]  ), len(lowerCAmelCase_  ))



def      __lowerCamelCase     (      lowerCAmelCase_						,			lowerCAmelCase_						,			lowerCAmelCase_=False  )			->      float:
		if smoothing:
				if n == 0:
						raise ValueError('log10(0) is undefined.'  )
				return round(1 + logaa(n / (1 + df)  )						,			3  )

		if df == 0:
				raise ZeroDivisionError('df must be > 0'  )
		elif n == 0:
				raise ValueError('log10(0) is undefined.'  )
		return round(logaa(n / df  )						,			3  )



def      __lowerCamelCase     (      lowerCAmelCase_						,			lowerCAmelCase_  )			->      float:
		return round(tf * idf						,			3  )








import os
import unittest

from transformers.models.cpmant.tokenization_cpmant import VOCAB_FILES_NAMES, CpmAntTokenizer
from transformers.testing_utils import require_jieba, tooslow

from ...test_tokenization_common import TokenizerTesterMixin





@require_jieba
class   __a			(    __UpperCamelCase       ,       unittest.TestCase      ):
 __lowercase :							str        = CpmAntTokenizer
 __lowercase :							List[Any]        = False
 def 		SCREAMING_SNAKE_CASE__   (   self )					->				str:




        '''simple docstring'''
        super().setUp()

        lowercase__:   Any  			=   [
            '<d>',
            '</d>',
            '<s>',
            '</s>',
            '</_>',
            '<unk>',
            '<pad>',
            '</n>',
            '我',
            '是',
            'C',
            'P',
            'M',
            'A',
            'n',
            't',
        ]
        lowercase__:   List[Any]  			=   os.path.join(self.tmpdirname				, VOCAB_FILES_NAMES['vocab_file'] )
        with open(self.vocab_file				, 'w'				, encoding='utf-8' ) as vocab_writer:
               vocab_writer.write(''.join([x + '\n' for x in vocab_tokens] ) )
 @tooslow
 def 		SCREAMING_SNAKE_CASE__   (   self )					->				Tuple:




        '''simple docstring'''
        lowercase__:   Optional[int]  			=   CpmAntTokenizer.from_pretrained('openbmb/cpm-ant-10b' )
        lowercase__:   Optional[Any]  			=   '今天天气真好！'
        lowercase__:   str  			=   ['今天', '天气', '真', '好', '！']
        lowercase__:   Optional[Any]  			=   tokenizer.tokenize(lowerCAmelCase__ )
        self.assertListEqual(lowerCAmelCase__				, lowerCAmelCase__ )
        lowercase__:   List[str]  			=   '今天天气真好！'
        lowercase__:   List[str]  			=   [tokenizer.bos_token] + tokens

        lowercase__:   Tuple  			=   [6, 9_802, 14_962, 2_082, 831, 244]
        self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase__ )				, lowerCAmelCase__ )

        lowercase__:   Any  			=   tokenizer.decode(lowerCAmelCase__ )
        self.assertEqual(lowerCAmelCase__				, lowerCAmelCase__ )


