78f505a6cd78c0072ea1a77afb229f8d6658d17b,kraken/kraken.py,,recognizer,#Any#Any#Any#Any#Any#Any#Any#Any#,103

Before Change



    preds = []

    for pred in it:
        spin("Processing")
        preds.append(pred)
    message("\b\u2713", fg="green", nl=False)
    message("\033[?25h\n", nl=False)

    ctx = click.get_current_context()

After Change



    preds = []

    with log.progressbar(it, label="Processing") as bar:
        for pred in bar:
            preds.append(pred)

    ctx = click.get_current_context()
    with open_file(output, "w", encoding="utf-8") as fp:
        message("Writing recognition results for {}\t".format(base_image), nl=False)
        logger.info("Serializing as {} into {}".format(ctx.meta["mode"], output))
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 9

Instances


Project Name: mittagessen/kraken
Commit Name: 78f505a6cd78c0072ea1a77afb229f8d6658d17b
Time: 2018-05-23
Author: mittagessen@l.unchti.me
File Name: kraken/kraken.py
Class Name:
Method Name: recognizer


Project Name: mittagessen/kraken
Commit Name: 78f505a6cd78c0072ea1a77afb229f8d6658d17b
Time: 2018-05-23
Author: mittagessen@l.unchti.me
File Name: kraken/ketos.py
Class Name:
Method Name: transcription


Project Name: mittagessen/kraken
Commit Name: 78f505a6cd78c0072ea1a77afb229f8d6658d17b
Time: 2018-05-23
Author: mittagessen@l.unchti.me
File Name: kraken/ketos.py
Class Name:
Method Name: extract