Пример #1
0
def setup():
    global DIRPATH
    DIRPATH = tempfile.mkdtemp()
    
    # Create DAT file.
    raw_data = create_trace(nsamples, nchannels)
    for start, end in excerpts(nsamples, nexcerpts=10, excerpt_size=10):
        raw_data[start:end] += np.random.randint(low=-10000, high=10000, 
                                                 size=(10, nchannels))
    raw_data.tofile(op.join(DIRPATH, dat_filename))

    # Create PRM file.
    prm = get_params(**{
        'raw_data_files': dat_filename,
        'experiment_name': name,
        'nchannels': nchannels,
        'sample_rate': sample_rate,
        'detect_spikes': 'positive',
        'prb_file': prb_filename,
    })
    prm_contents = pydict_to_python(prm)
    with open(op.join(DIRPATH, prm_filename), 'w') as f:
        f.write(prm_contents)
    
    # Create PRB file.
    prb_contents = """
    nchannels = %NCHANNELS%
    channel_groups = {0:
        {
            'channels': list(range(nchannels)),
            'graph': [(i, i + 1) for i in range(nchannels - 1)],
        }
    }""".replace('%NCHANNELS%', str(nchannels)).replace('    ', '')
    with open(op.join(DIRPATH, prb_filename), 'w') as f:
        f.write(prb_contents)
Пример #2
0
def _load_files_info(prm_filename, dir=None):
    dir_, filename = op.split(prm_filename)
    dir = dir or dir_
    basename, ext = op.splitext(filename)
    if ext == '':
        ext = '.prm'
    prm_filename = op.join(dir, basename + ext)
    assert op.exists(prm_filename)
    
    # Load PRM file.
    prm = get_params(prm_filename)
    nchannels = prm.get('nchannels')
    assert nchannels > 0
    
    # Find PRB path in PRM file, and load it.
    prb_filename = prm.get('prb_file')
    if not op.exists(prb_filename):
        prb_filename = op.join(dir, prb_filename)
    prb = load_probe(prb_filename)
        
    # Find raw data source.
    data = prm.get('raw_data_files')
    if isinstance(data, basestring):
        if data.endswith('.dat'):
            data = [data]
    if isinstance(data, list):
        for i in range(len(data)):
            if not op.exists(data[i]):
                data[i] = op.join(dir, data[i])
        
    experiment_name = prm.get('experiment_name')
    
    return dict(prm=prm, prb=prb, experiment_name=experiment_name, nchannels=nchannels,
                data=data, dir=dir)    
Пример #3
0
def _load_files_info(prm_filename, dir=None):
    dir_, filename = op.split(prm_filename)
    dir = dir or dir_
    basename, ext = op.splitext(filename)
    if ext == '':
        ext = '.prm'
    prm_filename = op.join(dir, basename + ext)
    assert op.exists(prm_filename)

    # Load PRM file.
    prm = get_params(prm_filename)
    nchannels = prm.get('nchannels')
    assert nchannels > 0

    # Find PRB path in PRM file, and load it.
    prb_filename = prm.get('prb_file')
    if not op.exists(prb_filename):
        prb_filename = op.join(dir, prb_filename)
    prb = load_probe(prb_filename)

    # Find raw data source.
    data = prm.get('raw_data_files')
    if isinstance(data, basestring):
        if data.endswith('.dat'):
            data = [data]
    if isinstance(data, list):
        for i in range(len(data)):
            if not op.exists(data[i]):
                data[i] = op.join(dir, data[i])

    experiment_name = prm.get('experiment_name')

    return dict(prm=prm,
                prb=prb,
                experiment_name=experiment_name,
                nchannels=nchannels,
                data=data,
                dir=dir)
Пример #4
0
def setup():
    global DIRPATH
    DIRPATH = tempfile.mkdtemp()

    # Create DAT file.
    raw_data = create_trace(nsamples, nchannels)
    for start, end in excerpts(nsamples, nexcerpts=10, excerpt_size=10):
        raw_data[start:end] += np.random.randint(low=-10000,
                                                 high=10000,
                                                 size=(10, nchannels))
    raw_data.tofile(op.join(DIRPATH, dat_filename))

    # Create PRM file.
    prm = get_params(
        **{
            'raw_data_files': dat_filename,
            'experiment_name': name,
            'nchannels': nchannels,
            'sample_rate': sample_rate,
            'detect_spikes': 'positive',
            'prb_file': prb_filename,
        })
    prm_contents = pydict_to_python(prm)
    with open(op.join(DIRPATH, prm_filename), 'w') as f:
        f.write(prm_contents)

    # Create PRB file.
    prb_contents = """
    nchannels = %NCHANNELS%
    channel_groups = {0:
        {
            'channels': list(range(nchannels)),
            'graph': [(i, i + 1) for i in range(nchannels - 1)],
        }
    }""".replace('%NCHANNELS%', str(nchannels)).replace('    ', '')
    with open(op.join(DIRPATH, prb_filename), 'w') as f:
        f.write(prb_contents)
Пример #5
0
def test_get_params():
    assert get_params(sample_rate=1).get('filter_butter_order', None) == 3
    assert get_params(sample_rate=1,
                      filter_butter_order=1)['filter_butter_order'] == 1
Пример #6
0
def test_get_params():
    assert get_params(sample_rate=1).get('filter_butter_order', None) == 3
    assert get_params(sample_rate=1, filter_butter_order=1)['filter_butter_order'] == 1