def createtemparf(filename, datatype=0):
root, ext = os.path.splitext(filename)
arffile = arf.open_file(tempfile.mktemp())
if ext == '.lbl':
lbl_rec = lbl.read(filename)
print(lbl_rec)
dset = arf.create_dataset(arffile, os.path.split(filename)[-1],
lbl_rec, units=['','s','s'], datatype=2002)
dset.attrs['units'] = 's'
elif ext == '.wav':
wavfile = ewave.open(filename)
arf.create_dataset(arffile, os.path.split(filename)[-1], wavfile.read(),
sampling_rate=wavfile.sampling_rate, datatype=1)
elif ext =='.pcm':
from arfx import pcmio
pcmfile = pcmio.open(filename)
arf.create_dataset(arffile, os.path.split(filename)[-1], pcmfile.read(),
sampling_rate=pcmfile.sampling_rate, datatype=datatype)
elif ext == '.pcm_seq2':
from arfx import io
pcmseqfile = io.open(filename)
dataset_basename = os.path.split(filename)[-1]
for i in xrange(pcmseqfile.nentries):
dataset_name = '_'.join([dataset_basename, str(i)])
arf.create_dataset(arffile, dataset_name, pcmseqfile.read(),
sampling_rate=pcmseqfile.sampling_rate,
timestamp=pcmseqfile.timestamp, datatype=datatype)
#try block added because pcmseqfile.nentries doesn't seem to always be accurate
try:
pcmseqfile.entry += 1
except ValueError:
continue
return arffile['/']
def test_writeread(tmpdir):
fname = os.path.join(tmpdir.dirname, 'temp.lbl')
times = np.reshape(np.arange(0,20), (-1,2))
labels = [chr(i) for i in np.arange(10) + 65]
dtype = [('name', np.unicode_, max([len(x) for x in labels])),
('start', float), ('stop', float)]
rec_array = np.array([(l, sta, sto) for l, (sta, sto) in zip(labels, times)],
dtype=dtype)
lbl.write(fname, rec_array)
rec_array2 = lbl.read(fname)
assert ''.join(rec_array['name']) == ''.join(rec_array2['name']), 'label names do not match'
assert np.all(np.isclose(rec_array['start'], rec_array2['start'])), 'starts do not match'
assert np.all(np.isclose(rec_array['stop'], rec_array2['stop'])), 'stops do not match'
def test_writeread(tmpdir):
fname = os.path.join(tmpdir.dirname, 'temp.lbl')
times = np.reshape(np.arange(0, 20), (-1, 2))
labels = [chr(i) for i in np.arange(10) + 65]
dtype = [('name', np.unicode_, max([len(x) for x in labels])),
('start', float), ('stop', float)]
rec_array = np.array([(l, sta, sto)
for l, (sta, sto) in zip(labels, times)],
dtype=dtype)
lbl.write(fname, rec_array)
rec_array2 = lbl.read(fname)
assert ''.join(rec_array['name']) == ''.join(
rec_array2['name']), 'label names do not match'
assert np.all(np.isclose(rec_array['start'],
rec_array2['start'])), 'starts do not match'
assert np.all(np.isclose(rec_array['stop'],
rec_array2['stop'])), 'stops do not match'
def createtemparf(filename, datatype=0):
root, ext = os.path.splitext(filename)
arffile = arf.open_file(tempfile.mktemp())
if ext == '.lbl':
lbl_rec = lbl.read(filename)
print(lbl_rec)
dset = arf.create_dataset(arffile, os.path.split(filename)[-1],
lbl_rec, units=['','s','s'], datatype=2002)
dset.attrs['units'] = 's'
elif ext == '.wav':
wavfile = ewave.open(filename)
arf.create_dataset(arffile, os.path.split(filename)[-1], wavfile.read(),
sampling_rate=wavfile.sampling_rate, datatype=1)
elif ext =='.pcm':
from arfx import pcmio
pcmfile = pcmio.open(filename)
arf.create_dataset(arffile, os.path.split(filename)[-1], pcmfile.read(),
sampling_rate=pcmfile.sampling_rate, datatype=datatype)
return arffile['/']