fuel.datasets.YouTubeAudio.__init__() - Code Metrics - Inspection of "Add YouTube audio dataset" - mila-udem/fuel - Measure and Improve Code Quality continuously with Scrutinizer

Completed

Pull Request — master (#297)

by Bart

created 2016-01-28 04:37 UTC

fuel.datasets.YouTubeAudio.init() A

↳ Parent: fuel.datasets.YouTubeAudio

Complexity

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Lines	0
Ratio	0 %

Metric	Value
cc	1
dl	0
loc	4
rs	10

from fuel.datasets.hdf5 import H5PYDataset
from fuel.utils import find_in_data_path


class YouTubeAudio(H5PYDataset):
    """Dataset of audio from YouTube video.


    Assumes the existence of a dataset file with the name
    `youtube_id.hdf5`. These datasets don't have any split; the entire
    audio sequence is considered training.

    Note that the data structured in the form `(batch, time, features)`
    where `features` are the audio channels (dimension 1 or 2) and batch is
    equal to 1 in this case (since there is only one audiotrack).

    Parameters
    ----------
    youtube_id : str
        11-character video ID (taken from YouTube URL)
    \*\*kwargs
        Passed to the `H5PYDataset` class.

    """
    def __init__(self, youtube_id, **kwargs):
        super(YouTubeAudio, self).__init__(
            file_or_path=find_in_data_path('{}.hdf5'.format(youtube_id)),
            which_sets=('train',), **kwargs
        )


1			from fuel.datasets.hdf5 import H5PYDataset
2			from fuel.utils import find_in_data_path
3
4
5			class YouTubeAudio(H5PYDataset):
6			"""Dataset of audio from YouTube video.
			0 ignored issues – show Bug introduced 2016-01-28 04:38 UTC by Report Bug Copy Issue Report A suspicious escape sequence `\*` was found. Did you maybe forget to add an `r` prefix? Escape sequences in Python are generally interpreted according to rules similar to standard C. Only if strings are prefixed with `r` or `R` are they interpreted as regular expressions. The escape sequence that was used indicates that you might have intended to write a regular expression. Learn more about the available escape sequences. in the Python documentation. Loading history...
7
8			Assumes the existence of a dataset file with the name
9			`youtube_id.hdf5`. These datasets don't have any split; the entire
10			audio sequence is considered training.
11
12			Note that the data structured in the form `(batch, time, features)`
13			where `features` are the audio channels (dimension 1 or 2) and batch is
14			equal to 1 in this case (since there is only one audiotrack).
15
16			Parameters
17			----------
18			youtube_id : str
19			11-character video ID (taken from YouTube URL)
20			\\kwargs
21			Passed to the `H5PYDataset` class.
22
23			"""
24			def __init__(self, youtube_id, **kwargs):
25			super(YouTubeAudio, self).__init__(
26			file_or_path=find_in_data_path('{}.hdf5'.format(youtube_id)),
27			which_sets=('train',), **kwargs
28			)
29

mila-udem / fuel

Pull Request — master (#297)

fuel.datasets.YouTubeAudio.__init__() A

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fuel.datasets.YouTubeAudio.init() A