albertocavalcante

C:\dev\workspace\rules-multirun-windows-issue>bazel run --platforms @zig_sdk//platform:windows_amd64 //tools:format
WARNING: Build option --platforms has changed, discarding analysis cache (this can be expensive, see https://bazel.build/advanced/performance/iteration-speed).
INFO: ToolchainResolution: Target platform @@hermetic_cc_toolchain++toolchains+zig_sdk//platform:windows_amd64: Selected execution platform //platforms:windows_x86_64_compat,                                                                                          
INFO: ToolchainResolution: Performing resolution of @@buildifier_prebuilt+//buildifier:toolchain for target platform @@hermetic_cc_toolchain++toolchains+zig_sdk//platform:windows_amd64
      ToolchainResolution:   Toolchain @@buildifier_prebuilt++buildifier_prebuilt_deps_extension+buildifier_prebuilt_toolchains//:buildifier_darwin_amd64 is compatible with target platform, searching for execution platforms:
      ToolchainResolution:     Incompatible execution platform //platform

albertocavalcante

package main

import (
	"context"
	"fmt"
	"os/exec"
	"strings"

	// These are the Bazelisk packages you'd import
	"github.com/bazelbuild/bazelisk/config"

albertocavalcante

#!/bin/bash
set -e

# Versions can be overridden with environment variables
BAZELISK_VERSION="${BAZELISK_VERSION:-v1.10.1}"
BUILDIFIER_VERSION="${BUILDIFIER_VERSION:-v6.0.1}"

LOCAL_BIN="/usr/local/bin"

if [ "$(id -u)" -ne 0 ]; then

albertocavalcante

#!/usr/bin/env python3
# /// script
# requires-python = ">=3.7"
# ///

"""
DevContainer Documentation Generator

This script generates README files for DevContainer features and templates.

albertocavalcante

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albertocavalcante

import requests
import zipfile
import os
from io import BytesIO

def fetch_and_extract_zip(url, extract_to='.'):
    # Configure the proxy if needed
    proxies = {
        'http': 'http://your_proxy:your_proxy_port',
        'https': 'http://your_proxy:your_proxy_port'

albertocavalcante

from openai import OpenAI
from typing import Final
from pprint import pprint


class GPTHelper:
    llm = OpenAI()

    REVERSE_WORD_SYSTEM_PROMPT: Final = """
        Given a word by the user, you must reverse it and display back. 

albertocavalcante

package main

import "fmt"

func main() {
	var a int
	var b *int

	a = 50
	b = &a

albertocavalcante

Understanding Calico Selectors in Kubernetes

In Kubernetes, managing network policies is essential for controlling communication between pods. Calico is a popular open-source tool that offers a powerful and flexible way to create network policies, using selectors to define exactly what traffic is allowed or denied. This blog post will explain how these selectors work, using easy-to-understand examples.

Selector Basics

A Calico selector is like a set of rules that define what kind of pods are matched. Think of it like picking out toys from a toy box based on specific features like color, shape, or size.

Equality