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| # Authors: The MNE-Python contributors. | |
| # License: BSD-3-Clause | |
| # Copyright the MNE-Python contributors. | |
| 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", | |
| dbs="seagreen", | |
| dipole="k", | |
| gof="k", | |
| bio="k", | |
| ecog="k", | |
| hbo="#AA3377", | |
| hbr="b", | |
| fnirs_cw_amplitude="k", | |
| fnirs_fd_ac_amplitude="k", | |
| fnirs_fd_phase="k", | |
| fnirs_od="k", | |
| csd="k", | |
| whitened="k", | |
| gsr="#666633", | |
| temperature="#663333", | |
| eyegaze="k", | |
| pupil="k", | |
| ), | |
| si_units=dict( | |
| mag="T", | |
| grad="T/m", | |
| eeg="V", | |
| eog="V", | |
| ecg="V", | |
| emg="V", | |
| misc="AU", | |
| seeg="V", | |
| dbs="V", | |
| dipole="Am", | |
| gof="GOF", | |
| bio="V", | |
| ecog="V", | |
| hbo="M", | |
| hbr="M", | |
| ref_meg="T", | |
| fnirs_cw_amplitude="V", | |
| fnirs_fd_ac_amplitude="V", | |
| fnirs_fd_phase="rad", | |
| fnirs_od="V", | |
| csd="V/m²", | |
| whitened="Z", | |
| gsr="S", | |
| temperature="C", | |
| eyegaze="rad", | |
| pupil="m", | |
| ), | |
| units=dict( | |
| mag="fT", | |
| grad="fT/cm", | |
| eeg="µV", | |
| eog="µV", | |
| ecg="µV", | |
| emg="µV", | |
| misc="AU", | |
| seeg="mV", | |
| dbs="µV", | |
| dipole="nAm", | |
| gof="GOF", | |
| bio="µV", | |
| ecog="µV", | |
| hbo="µM", | |
| hbr="µM", | |
| ref_meg="fT", | |
| fnirs_cw_amplitude="V", | |
| fnirs_fd_ac_amplitude="V", | |
| fnirs_fd_phase="rad", | |
| fnirs_od="V", | |
| csd="mV/m²", | |
| whitened="Z", | |
| gsr="S", | |
| temperature="C", | |
| eyegaze="rad", | |
| pupil="mm", | |
| ), | |
| # scalings for the units | |
| scalings=dict( | |
| mag=1e15, | |
| grad=1e13, | |
| eeg=1e6, | |
| eog=1e6, | |
| emg=1e6, | |
| ecg=1e6, | |
| misc=1.0, | |
| seeg=1e3, | |
| dbs=1e6, | |
| ecog=1e6, | |
| dipole=1e9, | |
| gof=1.0, | |
| bio=1e6, | |
| hbo=1e6, | |
| hbr=1e6, | |
| ref_meg=1e15, | |
| fnirs_cw_amplitude=1.0, | |
| fnirs_fd_ac_amplitude=1.0, | |
| fnirs_fd_phase=1.0, | |
| fnirs_od=1.0, | |
| csd=1e3, | |
| whitened=1.0, | |
| gsr=1.0, | |
| temperature=1.0, | |
| eyegaze=1.0, | |
| pupil=1e3, | |
| ), | |
| # rough guess for a good plot | |
| 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="auto", | |
| stim=1, | |
| resp=1, | |
| chpi=1e-4, | |
| exci=1, | |
| ias=1, | |
| syst=1, | |
| seeg=1e-4, | |
| dbs=1e-4, | |
| bio=1e-6, | |
| ecog=1e-4, | |
| hbo=10e-6, | |
| hbr=10e-6, | |
| whitened=10.0, | |
| fnirs_cw_amplitude=2e-2, | |
| fnirs_fd_ac_amplitude=2e-2, | |
| fnirs_fd_phase=2e-1, | |
| fnirs_od=2e-2, | |
| csd=200e-4, | |
| dipole=1e-7, | |
| gof=1e2, | |
| gsr=1.0, | |
| temperature=0.1, | |
| eyegaze=2e-1, | |
| pupil=1e-2, | |
| ), | |
| scalings_cov_rank=dict( | |
| mag=1e12, | |
| grad=1e11, | |
| eeg=1e5, # ~100x scalings | |
| seeg=1e1, | |
| dbs=1e4, | |
| ecog=1e4, | |
| hbo=1e4, | |
| hbr=1e4, | |
| ), | |
| ylim=dict( | |
| mag=(-600.0, 600.0), | |
| grad=(-200.0, 200.0), | |
| eeg=(-200.0, 200.0), | |
| misc=(-5.0, 5.0), | |
| seeg=(-20.0, 20.0), | |
| dbs=(-200.0, 200.0), | |
| dipole=(-100.0, 100.0), | |
| gof=(0.0, 1.0), | |
| bio=(-500.0, 500.0), | |
| ecog=(-200.0, 200.0), | |
| hbo=(0, 20), | |
| hbr=(0, 20), | |
| csd=(-50.0, 50.0), | |
| eyegaze=(-1, 1), | |
| pupil=(-1.0, 1.0), | |
| ), | |
| titles=dict( | |
| mag="Magnetometers", | |
| grad="Gradiometers", | |
| eeg="EEG", | |
| eog="EOG", | |
| ecg="ECG", | |
| emg="EMG", | |
| misc="misc", | |
| seeg="sEEG", | |
| dbs="DBS", | |
| bio="BIO", | |
| dipole="Dipole", | |
| ecog="ECoG", | |
| hbo="Oxyhemoglobin", | |
| ref_meg="Reference Magnetometers", | |
| fnirs_cw_amplitude="fNIRS (CW amplitude)", | |
| fnirs_fd_ac_amplitude="fNIRS (FD AC amplitude)", | |
| fnirs_fd_phase="fNIRS (FD phase)", | |
| fnirs_od="fNIRS (OD)", | |
| hbr="Deoxyhemoglobin", | |
| gof="Goodness of fit", | |
| csd="Current source density", | |
| stim="Stimulus", | |
| gsr="Galvanic skin response", | |
| temperature="Temperature", | |
| eyegaze="Eye-tracking (Gaze position)", | |
| pupil="Eye-tracking (Pupil size)", | |
| resp="Respiration monitoring channel", | |
| chpi="Continuous head position indicator (HPI) coil channels", | |
| exci="Flux excitation channel", | |
| ias="Internal Active Shielding data (Triux systems)", | |
| syst="System status channel information (Triux systems)", | |
| whitened="Whitened data", | |
| ), | |
| 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=1.0, | |
| # go from unit scaling (e.g., unit-radius sphere) to meters | |
| mri_fid_scale=5e-3, | |
| dig_fid_scale=8e-3, | |
| extra_scale=4e-3, | |
| eeg_scale=4e-3, | |
| eegp_scale=20e-3, | |
| eegp_height=0.1, | |
| ecog_scale=2e-3, | |
| seeg_scale=2e-3, | |
| meg_scale=1.0, # sensors are already in SI units | |
| ref_meg_scale=1.0, | |
| dbs_scale=5e-3, | |
| fnirs_scale=5e-3, | |
| source_scale=5e-3, | |
| detector_scale=5e-3, | |
| hpi_scale=4e-3, | |
| head_color=(0.988, 0.89, 0.74), | |
| hpi_color=(1.0, 0.0, 1.0), | |
| extra_color=(1.0, 1.0, 1.0), | |
| meg_color=(0.0, 0.25, 0.5), | |
| ref_meg_color=(0.5, 0.5, 0.5), | |
| helmet_color=(0.0, 0.0, 0.6), | |
| eeg_color=(1.0, 0.596, 0.588), | |
| eegp_color=(0.839, 0.15, 0.16), | |
| ecog_color=(1.0, 1.0, 1.0), | |
| dbs_color=(0.82, 0.455, 0.659), | |
| seeg_color=(1.0, 1.0, 0.3), | |
| fnirs_color=(1.0, 0.647, 0.0), | |
| source_color=(1.0, 0.05, 0.0), | |
| detector_color=(0.3, 0.15, 0.15), | |
| lpa_color=(1.0, 0.0, 0.0), | |
| nasion_color=(0.0, 1.0, 0.0), | |
| rpa_color=(0.0, 0.0, 1.0), | |
| ), | |
| report_coreg=dict(dig=True, meg=("helmet", "sensors"), show_axes=True), | |
| noise_std=dict(grad=5e-13, mag=20e-15, eeg=0.2e-6), | |
| eloreta_options=dict(eps=1e-6, max_iter=20, force_equal=False), | |
| depth_mne=dict( | |
| exp=0.8, | |
| limit=10.0, | |
| limit_depth_chs=True, | |
| combine_xyz="spectral", | |
| allow_fixed_depth=False, | |
| ), | |
| depth_sparse=dict( | |
| exp=0.8, | |
| limit=None, | |
| limit_depth_chs="whiten", | |
| combine_xyz="fro", | |
| allow_fixed_depth=True, | |
| ), | |
| interpolation_method=dict( | |
| eeg="spline", meg="MNE", fnirs="nearest", ecog="spline", seeg="spline" | |
| ), | |
| volume_options=dict( | |
| alpha=None, | |
| resolution=1.0, | |
| surface_alpha=None, | |
| blending="mip", | |
| silhouette_alpha=None, | |
| silhouette_linewidth=2.0, | |
| ), | |
| prefixes={ | |
| "k": 1e-3, | |
| "h": 1e-2, | |
| "": 1e0, | |
| "d": 1e1, | |
| "c": 1e2, | |
| "m": 1e3, | |
| "µ": 1e6, | |
| "u": 1e6, | |
| "n": 1e9, | |
| "p": 1e12, | |
| "f": 1e15, | |
| }, | |
| transform_zooms=dict(translation=None, rigid=None, affine=None, sdr=None), | |
| transform_niter=dict( | |
| translation=(10000, 1000, 100), | |
| rigid=(10000, 1000, 100), | |
| affine=(10000, 1000, 100), | |
| sdr=(10, 10, 5), | |
| ), | |
| volume_label_indices=( | |
| # Left and middle | |
| 4, # Left-Lateral-Ventricle | |
| 5, # Left-Inf-Lat-Vent | |
| 8, # Left-Cerebellum-Cortex | |
| 10, # Left-Thalamus-Proper | |
| 11, # Left-Caudate | |
| 12, # Left-Putamen | |
| 13, # Left-Pallidum | |
| 14, # 3rd-Ventricle | |
| 15, # 4th-Ventricle | |
| 16, # Brain-Stem | |
| 17, # Left-Hippocampus | |
| 18, # Left-Amygdala | |
| 26, # Left-Accumbens-area | |
| 28, # Left-VentralDC | |
| # Right | |
| 43, # Right-Lateral-Ventricle | |
| 44, # Right-Inf-Lat-Vent | |
| 47, # Right-Cerebellum-Cortex | |
| 49, # Right-Thalamus-Proper | |
| 50, # Right-Caudate | |
| 51, # Right-Putamen | |
| 52, # Right-Pallidum | |
| 53, # Right-Hippocampus | |
| 54, # Right-Amygdala | |
| 58, # Right-Accumbens-area | |
| 60, # Right-VentralDC | |
| ), | |
| report_stc_plot_kwargs=dict( | |
| views=("lateral", "medial"), | |
| hemi="split", | |
| backend="pyvistaqt", | |
| time_viewer=False, | |
| show_traces=False, | |
| size=(450, 450), | |
| background="white", | |
| time_label=None, | |
| add_data_kwargs={"colorbar_kwargs": {"label_font_size": 12, "n_labels": 5}}, | |
| ), | |
| ) | |
| 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: | |
| this_mapping[key] = v | |
| return this_mapping | |
| HEAD_SIZE_DEFAULT = 0.095 # in [m] | |
| _BORDER_DEFAULT = "mean" | |
| _INTERPOLATION_DEFAULT = "cubic" | |
| _EXTRAPOLATE_DEFAULT = "auto" | |