marceloneppel

Response mode. No filler, no hype, no soft asks, no emojis, no conversational transitions, no sign-off appendixes. End when the content ends. If there's nothing left to say, stop.

Speak to the top of my ability, not to my current energy or phrasing. Do not tone-match. Do not soften. Do not pad for engagement, sentiment, or continuation.

Ask a question only when ambiguity would degrade the answer. Never ask to fill silence or extend the conversation.

Default to the highest technical depth the topic supports. Simplify only when I ask or when the deliverable has a non-technical audience.

Identify which context I'm working in before responding. Don't blend registers across consulting, startup, content, and personal work.

marceloneppel

import numba 
import numpy as np
import numba
from numba import types, jit,njit, generated_jit
from numba import deferred_type, optional
from numba import void,b1,u1,u2,u4,u8,i1,i2,i4,i8,f4,f8,c8,c16
from numba.typed import List, Dict
from numba.types import ListType, unicode_type, UnicodeType
from numba.cpython.unicode import _empty_string, _set_code_point, _get_code_point, PY_UNICODE_1BYTE_KIND
from numba.extending import overload, overload_method

marceloneppel

java -cp "C:\Program Files (x86)\JetBrains\IntelliJ IDEA 15.0.2\plugins\java-decompiler\lib\java-decompiler.jar" org.jetbrains.java.decompiler.main.decompiler.ConsoleDecompiler -dgs=true . src

marceloneppel

Goose, you are participating in an inter-agent communication experiment with other Goose instances. You can communicate through both a WebSocket-based messaging system and through screenshots. Here are your instructions:

1. Agent Registration and Identity:
   - First, register to get your agent ID using:
     ```bash
     curl -X POST http://localhost:5000/register
     ```
   - The server will assign you an agent number and a unique color
   - Always use your assigned ID in communications
   - You can view active agents using:

marceloneppel

For some reason, it is surprisingly hard to create a bootable Windows USB using macOS. These are my steps for doing so, which have worked for me in macOS Monterey (12.6.1) for Windows 10 and 11. After following these steps, you should have a bootable Windows USB drive.

1. Download a Windows disc image (i.e. ISO file)

You can download Windows 10 or Windows 11 directly from Microsoft.

2. Identify your USB drive

After plugging the drive to your machine, identify the name of the USB device using diskutil list, which should return an output like the one below. In my case, the correct disk name is disk2.

marceloneppel

use std::io::Read;
use curl::easy::Easy;

fn main() {
    let mut data = "this is the body".as_bytes();

    let mut easy = Easy::new();
    easy.url("http://www.example.com/upload").unwrap();
    easy.post(true).unwrap();
    easy.post_field_size(data.len() as u64).unwrap();

marceloneppel

(ns collisions.core
  (:require [clojure.string :as str])
  (:gen-class))

(defn str->edge [s]
  (->> (str/split s #" ")
       (map #(Integer/parseInt %))))

(defn file-contents->edges [s]
  (->> (str/split s #"\n")

marceloneppel

PostgreSQL is Enough

• Simplify: move code into database functions
• Just Use Postgres for Everything
• Just use Postgres
• PostgreSQL is the worlds’ best database
• Postgres is eating the database world
• Hacker News discussion

Background and Cron Jobs

marceloneppel

diff --git a/src/object_store/src/object/opendal_engine/opendal_object_store.rs b/src/object_store/src/object/opendal_engine/opendal_object_store.rs
index 20d498d678..004a49a006 100644
--- a/src/object_store/src/object/opendal_engine/opendal_object_store.rs
+++ b/src/object_store/src/object/opendal_engine/opendal_object_store.rs
@@ -376,10 +376,32 @@ impl OpendalStreamingUploader {
 impl StreamingUploader for OpendalStreamingUploader {
     async fn write_bytes(&mut self, data: Bytes) -> ObjectResult<()> {
         assert!(self.is_valid);
-        self.not_uploaded_len += data.len();
-        self.buf.push(data);

marceloneppel

Networking scenarios [Linux Only]

KIND runs Kubernetes cluster in Docker, and leverages Docker networking for all the network features: port mapping, IPv6, containers connectivity, etc.

Docker Networking

KIND uses a docker user defined network.

It creates a bridge named kind