| import numpy as np | |
| def corr_ratio(x: np.ndarray, y: np.ndarray, bins: int = 256) -> float: | |
| """ | |
| Flirt correlation ratio cost function between `x` and `y`. Measures the variance | |
| in `y` over each iso-set of `x`. | |
| See [Jenkinson, NeuroImage 2002](https://doi.org/10.1006/nimg.2002.1132), | |
| Table 1 for the definition. Also [here](https://www.fmrib.ox.ac.uk/datasets/techrep/tr02mj1/tr02mj1/node4.html). |
| from dash import Dash, dcc, html | |
| import numpy as np | |
| import pandas as pd | |
| from dash.dependencies import Input, Output | |
| from dash.exceptions import PreventUpdate | |
| import plotly.express as px | |
| def get_figure(df, x_col, y_col, selectedpoints=None, selectedpoints_local=None, pad=0.04): | |
| if selectedpoints is None: |
| """ | |
| Parse the output of the linux `tree` command to a flat list of files | |
| Example:: | |
| python tree_to_list.py tree.txt | |
| """ | |
| import argparse | |
| import logging |
Here are some quick instructions for running VS code on a PSC/Access/bridges compute node.
Why? It makes your VS Code session faster, and lets you run notebooks within VS Code without guilt.
It's awkward to connect to a compute node through VS code, since you have to go through a login node first. You can make it easier by setting up a new "host" in your ~/.ssh/config file that defines the multi-hop connection.
| from typing import NamedTuple | |
| import numpy as np | |
| class ICCResult(NamedTuple): | |
| icc1: np.ndarray | |
| icc2: np.ndarray | |
| icc3: np.ndarray | |
| icc1k: np.ndarray |
| #!/bin/bash | |
| ssh_forward() { | |
| if [[ $# == 0 || $1 == "-h" || $1 == "--help" ]]; then | |
| echo "Multi-hop SSH port forwarding" | |
| echo | |
| echo "Usage: ssh_forward [--dryrun, -d] --port PORT HOST [HOST2 ...]" | |
| return 1 | |
| fi |