Convert to absolute paths in wordrank#1503
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| logger.info("Deleting frequencies from vocab file") | ||
| with smart_open(vocab_file, 'wb') as w: | ||
| with smart_open(join(meta_dir, vocab_file), 'wb') as w: |
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Please move join to definition of vocab_file (line 91) and same changes for all smart_open arguments
piskvorky
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piskvorky
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Minor code style suggestions.
| # prepare training data (cooccurrence matrix and vocab) | ||
| model_dir = os.path.join(wr_path, out_name) | ||
| meta_dir = os.path.join(model_dir, 'meta') | ||
| model_dir = join(wr_path, out_name) |
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Using full namespace os.path.join is preferable.
There are many joins in Python and its various libraries, and the context makes the code immediately easier to read and understand for other readers.
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| commands = [cmd_vocab_count, cmd_cooccurence_count, cmd_shuffle_cooccurences] | ||
| input_fnames = [corpus_file.split('/')[-1], corpus_file.split('/')[-1], cooccurrence_file] | ||
| input_fnames = [join(meta_dir, corpus_file.split('/')[-1]), join(meta_dir, corpus_file.split('/')[-1]), cooccurrence_file] |
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string.split('/') is not portable -- see os.path.split, os.path.basename etc.
| numlines = sum(1 for line in f) | ||
| with smart_open(meta_file, 'wb') as f: | ||
| meta_info = "{0} {1}\n{2} {3}\n{4} {5}".format(numwords, numwords, numlines, cooccurrence_shuf_file, numwords, vocab_file) | ||
| meta_info = "{0} {1}\n{2} {3}\n{4} {5}".format(numwords, numwords, numlines, cooccurrence_shuf_file.split('/')[-1], numwords, vocab_file.split('/')[-1]) |
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Dtto on split.
Elsewhere in the file (and in gensim) the standard C-style %s %d %f string formatting is used; best to keep it consistent here as well.
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@piskvorky formatting with {}.format more preferable for Python now. I think we should use format method instead of C-style formatting.
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kept {}.format for now
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| commands = [cmd_vocab_count, cmd_cooccurence_count, cmd_shuffle_cooccurences] | ||
| input_fnames = [join(meta_dir, corpus_file.split('/')[-1]), join(meta_dir, corpus_file.split('/')[-1]), cooccurrence_file] | ||
| input_fnames = [os.path.join(meta_dir, os.path.split(corpus_file)[-1]), os.path.join(meta_dir, os.path.split(corpus_file)[-1]), cooccurrence_file] |
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This line is a little hard to navigate -- any way to restructure the logic to make it more readable? Maybe factor out some of the arguments into separate lines?
| os.makedirs(meta_dir) | ||
| logger.info("Dumped data will be stored in '%s'", model_dir) | ||
| copyfile(corpus_file, join(meta_dir, corpus_file.split('/')[-1])) | ||
| copyfile(corpus_file, os.path.join(meta_dir, corpus_file.split('/')[-1])) |
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Isn't os.path.split()[-1] simply os.path.basename()?
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Converted relative paths to absolute for every wordrank command.