singularitti

idev_h100() {
    local N=${1:-1}
    local M=${2:-30}
    local TPN=${3:-4}
    local CPUS=${4:-24}

    local NTASKS=$((N * TPN))

    idev -p h100 -N "$N" -n "$NTASKS" -tpn "$TPN" -m "$M" \
        -- --cpus-per-task="$CPUS"

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# This function scans a directory for symbolic links and replaces the
# leading path prefix of each link target with a new prefix while keeping
# the remainder of the path unchanged.
#
# Only links whose targets match the directory boundary pattern
#     OLD_PREFIX/*
# are modified. This prevents accidental matches such as
#     /path/foo2
# when replacing
#     /path/foo

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git_log_range() {
    """
    Print full multiline Git commit messages between two revisions.

    Args:
        $1 (string): Start revision (exclusive). Example: v1.2.0
        $2 (string): End revision (inclusive). Example: HEAD
                      Defaults to HEAD if not provided.

    Behavior:

singularitti

#!/usr/bin/env bash
set -euo pipefail
# Use single-threaded Julia per worker (PythonCall stability)
export JULIA_NUM_THREADS=1
# Force PythonCall to use your venv Python (e.g., 3.12)
export JULIA_PYTHONCALL_EXE="/path/to/bin/python"
# Launch Julia with 10 worker processes using current project
julia --project=. -p 10

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Usage

Sync a single extension

rsync_ext user@remote /remote/base/dir/ /local/target/dir/ cif

Sync multiple extensions

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using Downloads
using Printf

const VERSION = "2.1.37"
const BASE = "https://storage.googleapis.com/claude-code-dist-86c565f3-f756-42ad-8dfa-d59b1c096819/claude-code-releases"

const TARGETS = [
    ("darwin", "arm64"),
    ("darwin", "x64"),
    ("linux",  "x64"),

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function list_valid_paths(paths)
    valid = []
    for p in paths
        try
            expanded = expanduser(p)
            if ispath(expanded)
                push!(valid, expanded)
            end
        catch
            # Ignore malformed paths or permission issues

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import numpy as np
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap, BoundaryNorm
from typing import Iterable, Tuple, Optional, Union

Color = Union[str, Tuple[float, float, float], Tuple[float, float, float, float]]


def vector_to_heatmap_array(vec: Iterable[int], vertical: bool = True) -> np.ndarray:
    """Converts a 1D binary vector into a 2D array for heatmap plotting.

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import numpy as np
from scipy.spatial import Delaunay
import svgwrite
from pathlib import Path

# cairosvg might not be pre-imported after reset; import explicitly
import cairosvg


def polygon_mesh_svg(

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{
    "colors": [
        {
            "hex": "D6D2C4",
            "name": "Westar",
            "rgba": {
                "alpha": 100,
                "blue": 196,
                "green": 210,
                "red": 214