clbarnes

from functools import lru_cache, wraps
from typing import Optional, Callable
from copy import copy, deepcopy


def copy_cache(deep: bool = True, maxsize: Optional[int] = 128, typed: bool = False):
    """Decorator factory wrapping functools.lru_cache, which copies return values.

    Use this for functions with mutable return values.

clbarnes

#!/usr/bin/env python3
"""Module for building pandas DataFrames by row."""
from collections.abc import Sequence, Collection
import typing as tp

import pandas as pd


class DataFrameBuilder:
    def __init__(

clbarnes

#!/bin/sh
set -e
if [ $# -eq 0 ]; then
        >&2 echo "No argument given, using ls"
        exec ls
elif [ -d "$1" ]; then
        >&2 echo "Directory detected, using ls"
        exec ls "$1"
elif [ -f "$1" ]; then
        >&2 echo "File detected, using less"

clbarnes

#!/usr/bin/env python3
"""
Make a `zpool create ...` command for a set of identical disks,
calculating vdev size etc. from the given configuration.
You will need to know the disk model name;
you should be able to identify it from the output of
`lsblk -d -e 7 -o NAME,SIZE,STATE,MODEL`.
"""
import getpass
from argparse import ArgumentParser

clbarnes

#%%
import os
import shutil
from pathlib import Path
import navis
import numpy as np
from scipy.ndimage import binary_fill_holes

# in nm, for converting world coords to voxel indices
resolution = np.array([3.8, 3.8, 50])

clbarnes

#!/usr/bin/env python
"""
Script for (somewhat safely) adding metadata required by BigDataViewer
(and optionally n5-viewer) to multiscale datasets stored in N5 containers.
"""
from dataclasses import dataclass
import json
from pathlib import Path
from argparse import ArgumentParser
import re

clbarnes

#!/usr/bin/env python
"""
Script for taking results from matches and applying a trueskill-esque rating system.
Results can either be returned as rankings, or as a plot of probability distributions of ratings.

The input is a columnar TSV.
In each column, the cells are: ISO-8601 datetime of the match, one team's score, and
then the team's members (one per cell) in arbitrary order.
Therefore, there are 2 columns per match, which share a datetime not shared by any other
matches.

clbarnes

#!/usr/bin/env python
from argparse import ArgumentParser
import datetime as dt
from typing import Iterable, List
from _strptime import TimeRE
import re
import sys
import logging
from dataclasses import dataclass
from collections import defaultdict

clbarnes

this.units = [
  {
    name: "PNs",
    color: "#000000",
    //  PN   KC MBON latMBON FBN FB2IN MBIN
    w: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
    k: 1.5,
    th: 5.0,
    I_tonic: 0,
    I_stim: 10.0,

clbarnes

"""Configuration for in-package doctests.

Should be importable (but not useful)
without development dependencies.

Where these files up and when they are deleted is documented
`here <https://pytest.org/en/stable/tmpdir.html#the-default-base-temporary-directory>`_.
"""
from pathlib import Path