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import os.path as op
import matplotlib.pyplot as plt
import mne
from mne.datasets import sample
from mne import setup_volume_source_space
from mne import make_forward_solution
from mne.minimum_norm import make_inverse_operator, apply_inverse
from nilearn.plotting import plot_stat_map
from nilearn.image import index_img

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import os
import numpy as np
import pandas as pd
from mayavi import mlab

import mne
from mne.viz import plot_alignment
import neo

subjects_dir = os.path.join(os.getcwd(), 'subjects')

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import numpy as np
from scipy import sparse
import matplotlib.pyplot as plt

import mne
from mne.datasets import sample
from mne import read_evokeds
from mne.minimum_norm import read_inverse_operator

print(__doc__)

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# -*- coding: utf-8 -*-
"""Ordering Points To Identify the Clustering Structure (OPTICS)

These routines execute the OPTICS algorithm, and implement various
cluster extraction methods of the ordered list.

Authors: Shane Grigsby <[email protected]>
         Amy X. Zhang <[email protected]>
License: BSD 3 clause
"""

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