leandromoh

using System;
using System.Collections.Generic;
using System.Linq;

var series = new List<Sample>();
series.Add(new (){ timestamp = DateTime.Now.AddMinutes(-3) });
series.Add(new (){ timestamp = DateTime.Now.AddMinutes(0) });
series.Add(new (){ timestamp = DateTime.Now.AddMinutes(3) });
series.Add(new (){ timestamp = DateTime.Now.AddMinutes(4) });
series.Add(new (){ timestamp = DateTime.Now.AddMinutes(5) });

leandromoh

public class PipelineStageDefinitionBuilderSet<TDocument>
{
    private UpdateDefinition<TDocument> current;

    public PipelineStageDefinitionBuilderSet()
    {
        current = new BsonDocument();
    }

    public IPipelineStageDefinition ToPipelineStageDefinition()

leandromoh

using System.Buffers;
using System.Reflection;
using System.Text.Json;
using System.Text.Json.Serialization.Metadata;

public interface IHashGenerator
{
    void GenerateHashes<T>(IEnumerable<T> source, Action<T, string> action);
    void GenerateHashes<T, TKey>(IEnumerable<T> source, Func<T, TKey> selector, Action<T, string> action);
}

leandromoh

using ConsoleApp2;
using MoreLinq;
using System.Buffers;
using System.IO.Compression;
using System.Reflection;
using System.Text;

namespace ConsoleApp3
{
    public class Program

leandromoh

public static class MongoExtensions
{
    public static readonly Regex Indexer = new Regex(@"\[\d+\]", RegexOptions.Compiled);

    public static void FullMerge(this BsonDocument b1, BsonDocument b2)
    {
        for (int i = 0; i < b2.ElementCount; i++)
        {
            var e2 = b2.ElementAt(i);
            if (b1.TryGetElement(e2.Name, out var e1))

leandromoh

    public static string ToMd5(this string input)
    {
        var inputBytes = Encoding.ASCII.GetBytes(input);

        return inputBytes.ToMd5(0, inputBytes.Length);
    }

    public static string ToMd5(this byte[] inputBytes, int offset, int count)
    {
        Span<char> chars = stackalloc char[32];

leandromoh

Distributed Computing

• Brewers’ Theorem ― a distributed computer system cannot provide consistency, availability and partition tolerance, all at optimal levels.

8 Fallacies of Distributed Computing (L. Peter Deutsch)

• The network is reliable.
• Latency is zero.
• Bandwidth is infinite.
• The network is secure.
• Topology doesn’t change.

leandromoh

problema 1:

• PRs grandes solução:
• 1 PBI as vezes pode virar mais de 1 PR que entrega valor (quando fizer sentido), exemplo CRUD pode ser 4 PR
• eh muito mais facil 4 pessoas terem tempo de revisar 1 PR de 30m, do que 1 pessoa revisar 1 PR de 2h
• mergear eventuais branch de release antes de ficarem muito grandes (vide cash-reserve ou gestão de contas)
• exceto quando for irrisório, nao implementar features que vão subir comentadas ou testes desligados pra adiantar algo

problema 2:

• muitas idas e vindas durante o review

leandromoh

using System;
using System.Collections.Generic;
using System.Linq;

var values = GenerateRandomNumber(200);

foreach(var x in MergeSort(values))
    Console.WriteLine(x);

static int[] GenerateRandomNumber(int size)

leandromoh

using System;

var greeting = (string me, int age, string friend) =>
    $"Hello {friend}, my name is {me} and I am {age} years old";

var f = greeting.Curry()("Ana")(13);
Console.WriteLine(f("Bob"));
Console.WriteLine(f("Carla"));

Console.WriteLine();