289c479060004bd9fd638dab7027f407ba75e798,pycorrector/detector.py,Detector,initialize_detector,#Detector#,51

Before Change

    def initialize_detector(self):
        t1 = time.time()
        if self.enable_rnnlm:
            self.lm = LM(self.rnnlm_model_dir, self.rnnlm_vocab_path)
            logger.debug("Loaded language model: %s, spend: %s s" % (self.rnnlm_model_dir, str(time.time() - t1)))
        else:
            try:
                import kenlm
            except ImportError:
                raise ImportError("pycorrector dependencies are not fully installed, "
                                  "they are required for statistical language model."
                                  "Please use "pip install kenlm" to install it."
                                  "if you are Win, Please install kenlm in cgwin.")

            self.lm = kenlm.Model(self.language_model_path)
            logger.debug("Loaded language model: %s, spend: %s s" % (self.language_model_path, str(time.time() - t1)))

        // 词、频数dict
        t2 = time.time()
        self.word_freq = self.load_word_freq_dict(self.word_freq_path)
        t3 = time.time()
        logger.debug("Loaded word freq file: %s, size: %d, spend: %s s" %

After Change

                              "they are required for statistical language model."
                              "Please use "pip install kenlm" to install it."
                              "if you are Win, Please install kenlm in cgwin.")
        if not os.path.exists(self.language_model_path):
            get_file(
                config.language_model_name, config.language_model_url, extract=True,
                cache_dir=config.USER_DIR,
                cache_subdir=config.USER_DATA_DIR,
                verbose=1
            )
        self.lm = kenlm.Model(self.language_model_path)
        logger.debug("Loaded language model: %s, spend: %s s" % (self.language_model_path, str(time.time() - t1)))

        // 词、频数dict

Instances