mikhailov-work

# Copyright 2019 Google LLC.
# SPDX-License-Identifier: Apache-2.0

# Author: Anton Mikhailov

turbo_colormap_data = [[0.18995,0.07176,0.23217],[0.19483,0.08339,0.26149],[0.19956,0.09498,0.29024],[0.20415,0.10652,0.31844],[0.20860,0.11802,0.34607],[0.21291,0.12947,0.37314],[0.21708,0.14087,0.39964],[0.22111,0.15223,0.42558],[0.22500,0.16354,0.45096],[0.22875,0.17481,0.47578],[0.23236,0.18603,0.50004],[0.23582,0.19720,0.52373],[0.23915,0.20833,0.54686],[0.24234,0.21941,0.56942],[0.24539,0.23044,0.59142],[0.24830,0.24143,0.61286],[0.25107,0.25237,0.63374],[0.25369,0.26327,0.65406],[0.25618,0.27412,0.67381],[0.25853,0.28492,0.69300],[0.26074,0.29568,0.71162],[0.26280,0.30639,0.72968],[0.26473,0.31706,0.74718],[0.26652,0.32768,0.76412],[0.26816,0.33825,0.78050],[0.26967,0.34878,0.79631],[0.27103,0.35926,0.81156],[0.27226,0.36970,0.82624],[0.27334,0.38008,0.84037],[0.27429,0.39043,0.85393],[0.27509,0.40072,0.86692],[0.27576,0.41097,0.87936],[0.27628,0.42118,0.89123],[0.27667,0.43134,0.90254],[0.27691,0.44145,0.913

kingjr

# Author: Jean-Remi King <[email protected]>
#
# Licence: BSD-3 clause


def match_list(A, B, on_replace='delete'):
    """Match two lists of different sizes and return corresponding indices
    
    Parameters
    ----------

wmvanvliet

import mne
import numpy as np
from scipy.stats import norm
from matplotlib import pyplot as plt

# Load required sample data
data_path = mne.datasets.sample.data_path()
subjects_dir = data_path + '/subjects'
evoked = mne.read_evokeds(data_path + '/MEG/sample/sample_audvis-ave.fif')[0]
fwd = mne.read_forward_solution(data_path + '/MEG/sample/sample_audvis-meg-eeg-oct-6-fwd.fif', surf_ori=False, force_fixed=True)

pavelpatrin

def profile(func):
    from functools import wraps

    @wraps(func)
    def wrapper(*args, **kwargs):
        from line_profiler import LineProfiler
        prof = LineProfiler()
        try:
            return prof(func)(*args, **kwargs)
        finally:

agramfort

#!/usr/bin/env python
# -*- coding: utf-8 -*-

"""Implements Partial Directed Coherence and Direct Transfer Function
using MVAR processes.

Reference
---------
Luiz A. Baccala and Koichi Sameshima. Partial directed coherence:
a new concept in neural structure determination.

panisson

#  Copyright (C) 2013 Istituto per l'Interscambio Scientifico I.S.I.
#  You can contact us by email ([email protected]) or write to:
#  ISI Foundation, Via Alassio 11/c, 10126 Torino, Italy.
#
#  This work is licensed under a Creative Commons 4.0
#  Attribution-NonCommercial-ShareAlike License
#  You may obtain a copy of the License at
#  http://creativecommons.org/licenses/by-nc-sa/4.0/
#
#  This program was written by Andre Panisson <[email protected]> at

pwalsh

# using brew installed Python

brew install portaudio portmidi libsndfile liblo jack

brew link portaudio portmidi libsndfile liblo

cd ~/Sites/tmp

svn checkout http://pyo.googlecode.com/svn/trunk/ pyo-read-only