Nucs

{
  "hooks": {
    "SessionEnd": [
      {
        "hooks": [
          {
            "type": "command",
            "command": "node -e \"let i='';process.stdin.on('data',c=>i+=c);process.stdin.on('end',()=>{try{const d=JSON.parse(i);const r='claude --resume '+d.session_id+' --debug';const w=r.length+16;const ln='═'.repeat(w);console.error('\\n'+ln);console.error(' Dir:      '+d.cwd);console.error(' Reason:   '+d.reason);console.error(' Resume:   '+r);console.error(ln);process.exit(2)}catch(e){}})\""
          }
        ]

Nucs

using System.Runtime.CompilerServices;
using System.Runtime.Serialization;

var specificCombinationDictionary = new MultikeyDictionary<(int,int), string>();
specificCombinationDictionary[(1, 2)] = "3";

var anyKeyDictionary = new MultikeyDictionary<ITuple, string>();
anyKeyDictionary[(1, 2)] = "3";
anyKeyDictionary[("str", DateTime.UtcNow.Date)] = "undefined err";
anyKeyDictionary[(1, 3, 5, "what? a string?!", ("sub?", "Tuple??"))] = "undefined err";

Nucs

using System.Runtime.InteropServices;

var alloc = new Allocation();
Console.WriteLine("Hey, this tool will allocate how much memory you'll type in and reallocate ");
try {
    Task.Run(async () => {
        while (true) {
            await Task.Delay(60000).ConfigureAwait(false);
            if (!alloc.Buffer.HasValue)
                continue;

Nucs

using System;
using System.Collections.Generic;
using System.Diagnostics;
using System.Diagnostics.CodeAnalysis;
using System.Drawing;
using System.Drawing.Imaging;
using System.IO;
using System.Linq;
using System.Runtime.CompilerServices;
using System.Text;

Nucs

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;

namespace RegenTesting
{
    class Shape
    {

Nucs

using System.Runtime.InteropServices;
using BenchmarkDotNet.Attributes;
using BenchmarkDotNet.Engines;
using NumSharp.Backends;
using NumSharp.Backends.Unmanaged;
using NumSharp.Memory.Pooling;
using NumSharp.Utilities;

namespace NumSharp.Benchmark.Unmanaged
{

Nucs

import numpy as np

errors = 0
rights = 0
outputShapes = list()


def operator_(left, right, msg):
    global errors, rights, outputShapes
    print("")

Nucs

using System;
using System.Runtime.CompilerServices;
using BenchmarkDotNet.Attributes;
using BenchmarkDotNet.Engines;
using NumSharp.Backends.Unmanaged;
using NumSharp.Memory.Pooling;
using NumSharp.Utilities;

namespace NumSharp.Benchmark.Unmanaged
{

Nucs

using BenchmarkDotNet.Attributes;
using BenchmarkDotNet.Engines;

namespace OMath.Benchmarks
{

    //|                                 Method |      Mean |     Error |    StdDev |    Median |       Min |       Max | Ratio | RatioSD |
    //|--------------------------------------- |----------:|----------:|----------:|----------:|----------:|----------:|------:|--------:|
    //|                             BasicClass |  2.542 us | 0.0209 us | 0.0299 us |  2.526 us |  2.516 us |  2.613 us |  1.00 |    0.00 |
    //|                        InterfacedClass |  2.535 us | 0.0116 us | 0.0173 us |  2.528 us |  2.517 us |  2.570 us |  1.00 |    0.01 |

Nucs

    [MinColumn, MaxColumn, MeanColumn, MedianColumn]
    [SimpleJob(launchCount: 1, warmupCount: 3, targetCount: 15)]
    public class ParallelFor {
        private const int iterations = 10;
        private int largeSize = 50_000;
        DArray<int> a;
        DArray<int> b;

        private ParallelOptions settingsDistributed;
        private ParallelOptions settingsConcurrent;