1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
|
# Authors: Alexandre Gramfort <alexandre.gramfort@telecom-paristech.fr>
# Denis A. Engemann <denis.engemann@gmail.com>
# Eric Larson <larson.eric.d@gmail.com>
#
# License: BSD (3-clause)
from copy import deepcopy
DEFAULTS = dict(
color=dict(mag='darkblue', grad='b', eeg='k', eog='k', ecg='m', emg='k',
ref_meg='steelblue', misc='k', stim='k', resp='k', chpi='k',
exci='k', ias='k', syst='k', seeg='saddlebrown', dipole='k',
gof='k', bio='k', ecog='k', hbo='darkblue', hbr='b'),
units=dict(eeg='uV', grad='fT/cm', mag='fT', eog='uV', misc='AU',
seeg='mV', dipole='nAm', gof='GOF', emg='uV', ecg='uV',
bio='uV', ecog='uV', hbo='uM', hbr='uM'),
scalings=dict(mag=1e15, grad=1e13, eeg=1e6, eog=1e6, emg=1e6, ecg=1e6,
misc=1.0, seeg=1e3, dipole=1e9, gof=1.0, bio=1e6, ecog=1e6,
hbo=1e6, hbr=1e6),
scalings_plot_raw=dict(mag=1e-12, grad=4e-11, eeg=20e-6, eog=150e-6,
ecg=5e-4, emg=1e-3, ref_meg=1e-12, misc=1e-3,
stim=1, resp=1, chpi=1e-4, exci=1, ias=1, syst=1,
seeg=1e-4, bio=1e-6, ecog=1e-4, hbo=10e-6,
hbr=10e-6, whitened=10.),
scalings_cov_rank=dict(mag=1e12, grad=1e11, eeg=1e5, # ~100x scalings
seeg=1e1, ecog=1e4, hbo=1e4, hbr=1e4),
ylim=dict(mag=(-600., 600.), grad=(-200., 200.), eeg=(-200., 200.),
misc=(-5., 5.), seeg=(-20., 20.), dipole=(-100., 100.),
gof=(0., 1.), bio=(-500., 500.), ecog=(-200., 200.), hbo=(0, 20),
hbr=(0, 20)),
titles=dict(eeg='EEG', grad='Gradiometers', mag='Magnetometers',
misc='misc', seeg='sEEG', dipole='Dipole', eog='EOG',
gof='Goodness of fit', ecg='ECG', emg='EMG', bio='BIO',
ecog='ECoG', hbo='Oxyhemoglobin', hbr='Deoxyhemoglobin'),
mask_params=dict(marker='o',
markerfacecolor='w',
markeredgecolor='k',
linewidth=0,
markeredgewidth=1,
markersize=4),
coreg=dict(
mri_fid_opacity=1.0,
dig_fid_opacity=0.3,
mri_fid_scale=1e-2,
dig_fid_scale=3e-2,
extra_scale=4e-3,
eeg_scale=4e-3, eegp_scale=20e-3, eegp_height=0.1,
ecog_scale=5e-3,
seeg_scale=5e-3,
hpi_scale=15e-3,
head_color=(0.988, 0.89, 0.74),
hpi_color=(1., 0., 1.),
extra_color=(1., 1., 1.),
eeg_color=(1., 0.596, 0.588), eegp_color=(0.839, 0.15, 0.16),
ecog_color=(1., 1., 1.),
seeg_color=(1., 1., .3),
lpa_color=(1., 0., 0.),
nasion_color=(0., 1., 0.),
rpa_color=(0., 0., 1.),
),
noise_std=dict(grad=5e-13, mag=20e-15, eeg=0.2e-6),
eloreta_options=dict(eps=1e-6, max_iter=20, force_equal=None),
)
def _handle_default(k, v=None):
"""Avoid dicts as default keyword arguments.
Use this function instead to resolve default dict values. Example usage::
scalings = _handle_default('scalings', scalings)
"""
this_mapping = deepcopy(DEFAULTS[k])
if v is not None:
if isinstance(v, dict):
this_mapping.update(v)
else:
for key in this_mapping.keys():
this_mapping[key] = v
return this_mapping
|
