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#!/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

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import numpy as np


def icc(obs: np.ndarray, axis: Optional[int] = -1, center: bool = True):
    """
    Compute the intraclass correlation coefficient of an array of observations along an
    axis of repeated measurements.

    Args:
        obs: observations array, at least 2d

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Running VS code on PSC compute nodes

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.

1. Create an SSH route to the compute node

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.

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"""
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

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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:

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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).

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