e58e5a994ab596edfa81e167ac34c829b0fddbca,torchnlp/word_to_vector/pretrained_word_vectors.py,_PretrainedWordVectors,cache,#_PretrainedWordVectors#Any#Any#Any#,101

Before Change

            // str call is necessary for Python 2/3 compatibility, since
            // argument must be Python 2 str (Python 3 bytes) or
            // Python 3 str (Python 2 unicode)
            itos, vectors, dim = [], array.array(str("d")), None

            // Try to read the whole file with utf-8 encoding.
            binary_lines = False

After Change

                if self.is_include is not None and not self.is_include(word):
                    continue

                vectors[len(itos)] = torch.Tensor([float(e) for x in entries])
                itos.append(word)

            self.itos = itos
            self.stoi = {word: i for i, word in enumerate(itos)}

Instances