wmvanvliet

#!/bin/bash

# Start tmux
tmux new -d -s "slurm$SLURM_JOB_ID"

# Make job wait for user to connect
sleep 8h

wmvanvliet

"""Plot a cluster.

Plot the spatial extend of a cluster (as those returned from the cluster-based
permutation stats) on a brain.

Author: Marijn van Vliet <w.m.vanvliet@gmail.com>
"""

import mne
import numpy as np

wmvanvliet

"""
Plot the spatial extent of a cluster (as those returned from the cluster-based
permutation stats) on a brain.

Author: Marijn van Vliet <w.m.vanvliet@gmail.com>
"""

import mne
import numpy as np

wmvanvliet

"""
Obtain head -> MRI transform for the MOUS dataset for use with MNE-Python.

If you want to analyze the "Mother of all unification studies" dataset with
FreeSurfer and MNE-Python, you will need the MRI->HEAD coordinate
transformations. In the original dataset, the T1w_space_CTF.nii files contain
this information, but it takes some doing to distill this into a transform
object as used by MNE-Python.

This script assumes you have ran FreeSurfer on the T1w.nii files of all the

wmvanvliet

"""
Proposal for an event API for MNE-Python.
-----------------------------------------

We want figures to be able to communicate with each other, such that a change
in one figure can trigger a change in another figure. For example, moving the
time cursor in a Brain plot can update the current time in an evoked plot.
Another scenario is two drawing routines drawing into the same window. For
example, one function is drawing a source estimate, while another is drawing
magnetic field lines. The event system will allow both drawing routines to

wmvanvliet

use std::io::{self, Read};

// This reads in the puzzle input from stdin. So you would call this program like:
//     cat input | cargo run
// It then feeds the input as a string to the functions that solve both parts of the puzzle.
fn main() {
    let mut input = String::new();
    io::stdin().read_to_string(&mut input).unwrap();
    println!("Part 1 answer: {}", part1(strip_bom(&input)));
    println!("Part 2 answer: {}", part2(strip_bom(&input)));

wmvanvliet

wmvanvliet

import numpy as np
import pandas as pd
import string
from collections import deque, Counter, defaultdict
from copy import deepcopy
from itertools import chain
from scipy.signal import convolve2d
from scipy.spatial import distance
from tqdm import tqdm
import matplotlib.pyplot as plt

wmvanvliet

channels:
  - conda-forge
  - omnia
  - bioconda

dependencies:
  - modeller
  - mdtraj
  - plyfile
  - snakemake

wmvanvliet

 """
This should be a docstring.

Second line of the docstring.
"""
"""This should not be a docstring."""
b"""This should not be a docstring."""
r"""This should not be a docstring."""
"This should not be a docstring."