def testReadChannelGainAPLF(self):
for meta_data_file in self.meta_files:
if meta_data_file.name.split('.')[-2] not in ['lf', 'ap']:
continue
md = spikeglx.read_meta_data(meta_data_file)
cg = spikeglx._conversion_sample2v_from_meta(md)
i2v = md.get('imAiRangeMax') / 512
self.assertTrue(np.all(cg['lf'][0:-1] == i2v / 250))
self.assertTrue(np.all(cg['ap'][0:-1] == i2v / 500))
# also test consistent dimension with nchannels
nc = spikeglx._get_nchannels_from_meta(md)
self.assertTrue(len(cg['ap']) == len(cg['lf']) == nc)
def testReadChannelGainNIDQ(self):
for meta_data_file in self.meta_files:
if meta_data_file.name.split('.')[-2] not in ['nidq']:
continue
md = spikeglx.read_meta_data(meta_data_file)
nc = spikeglx._get_nchannels_from_meta(md)
cg = spikeglx._conversion_sample2v_from_meta(md)
i2v = md.get('niAiRangeMax') / 32768
self.assertTrue(
np.all(cg['nidq'][slice(0, int(np.sum(md.acqMnMaXaDw[:3])))] ==
i2v))
self.assertTrue(
np.all(cg['nidq'][slice(int(np.sum(md.acqMnMaXaDw[-1])), None)]
== 1.))
self.assertTrue(len(cg['nidq']) == nc)
def _sample2v(ap_file):
md = spikeglx.read_meta_data(ap_file.with_suffix('.meta'))
s2v = spikeglx._conversion_sample2v_from_meta(md)
return s2v['ap'][0]
