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Pull Request — main (#818)
by Osma
05:35 queued 02:32
created

EstNLTKAnalyzer.tokenize_words()   A

↳ Parent: annif.analyzer.estnltk

Complexity

Conditions 1

Size

Total Lines 9
Code Lines 8

Duplication

Lines 0
Ratio 0 %

Importance

Changes 0
Metric Value
cc 1
eloc 8
nop 3
dl 0
loc 9
rs 10
c 0
b 0
f 0
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"""EstNLTK analyzer for Annif which uses EstNLTK for lemmatization"""
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from __future__ import annotations

            


            
                                                                                                            
                            
            
                                    
            
            

                
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from . import analyzer

            


            
                                                                                                            
                            
            
                                    
            
            

                
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class EstNLTKAnalyzer(analyzer.Analyzer):

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    name = "estnltk"

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    def __init__(self, param: str, **kwargs) -> None:

            


            
                                                                                                            
                            
            
                                    
            
            

                
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        self.param = param

            


            
                                                                                                            
                            
            
                                    
            
            

                
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        super().__init__(**kwargs)

            


            
                                                                                                            
                                                                
            
                                    
            
            

                
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    def tokenize_words(self, text: str, filter: bool = True) -> list[str]:

            


            
                                                        
            
                                    
            
            

                
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        import estnltk

            


            
                                                        
            
                                    
            
            

                
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        txt = estnltk.Text(text.strip())

            


            
                                                        
            
                                    
            
            

                
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        txt.tag_layer()

            


            
                                                        
            
                                    
            
            

                
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        return [

            


            
                                                        
            
                                    
            
            

                
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            lemma

            


            
                                                        
            
                                    
            
            

                
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            for lemma in [lemmas[0] for lemmas in txt.lemma]

            


            
                                                        
            
                                    
            
            

                
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            if (not filter or self.is_valid_token(lemma))

            


            
                                                        
            
                                    
            
            

                
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        ]

            


            
                                                        
            
                                    
            
            

                
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