hernandohhoyos

from confluent_kafka import TopicPartition, Consumer, Producer
from confluent_kafka.admin import AdminClient
from confluent_kafka.cimpl import NewTopic

message = {"topic": "my-topic", "payload": "mensajito"}
config = {
    "producer_config": {
        "bootstrap.servers": "broker:port,broker:port",
        "security.protocol": "SSL",
    },

hernandohhoyos

# Para las keystore que piden Android
keytool -genkey -v -keystore task.keystore -keyalg RSA -keysize 2048 -validity 10000 -alias tasks -storepass android -keypass android
keytool -genkey -v -keystore task.jks -keyalg RSA -keysize 2048 -validity 10000 -alias tasks

# Para virtualizar Android
avdmanager create avd -n MyAVD -k "system-images;android-30;google_apis;x86_64" -d pixel


# Instalar apks en el emulador
adb install H:/Game/proyectos/lista_de_tareas/tasks.apk

hernandohhoyos

extends Control

# Referencias a los nodos ItemList y Button
@onready var item_list = $ItemList
@onready var add_button = $Button

var db : SQLite # usando el addon godot-sqlite
	
# Called when the node enters the scene tree for the first time.
func _ready():

hernandohhoyos

import math
import numpy as np

def calculate_neigbor_vector(a, distance, degrees, height=0):
    a = np.array(a)
    radians = math.radians(degrees)
    x2 = a[0] + distance * math.cos(radians)
    y2 = a[1] + distance * math.sin(radians)
    z2 = a[2] + distance * math.sin(radians) * height
    return np.array((x2, y2, z2))

hernandohhoyos

import bpy
import bmesh
import numpy as np

def create_mesh():
    # Elimina todos los objetos en la escena
    bpy.ops.object.select_all(action='DESELECT')
    bpy.ops.object.select_by_type(type='MESH')
    bpy.ops.object.delete()
	

hernandohhoyos

import numpy as np
a = np.array((0,0,0))
b = np.array((1,0,0))
M = ((a[0] + b[0]) / 2, (a[1] + b[1]) / 2, (a[2] + b[2]) / 2)

hernandohhoyos

import numpy

def calculate_triangle_vectors(a, b, distance, height=0):
    """
	Calcula un punto con los parámetros dados para formar un triángulo.
	:param a: list. Ie (0,0,0)
	:param b: list. Ie (0,0,0)
	:param distance: float Ie, 1.0
	:param height: int. Ie, 1 or -1
	"""

hernandohhoyos

infinite_loop_list = [1,2,3,4,5]
for i in range(len(infinite_loop_list)):
    print(
        (
            infinite_loop_list[i % len(infinite_loop_list)] ,
            infinite_loop_list[(i+1) % len(infinite_loop_list)],
            infinite_loop_list[(i+2) % len(infinite_loop_list)]
        )
    )

hernandohhoyos

let schema = {
    type: Number,
    min: 1900,
    max: () => new Date().getFullYear(),
    message: () => {
        if(typeof this.max === 'function'){
            return `El valor debe estar entre ${this.min} y ${this.max()}`
        }
        return `El valor debe estar entre ${this.min} y ${this.max}`
    }

hernandohhoyos

import numpy as np
import pandas as pd

N = 10000
df = pd.DataFrame(
    np.random.randint(999, 999999, size=(N, 7)), columns=list("ABCDEFG")
)
df["H"] = np.random.rand(N)
df["I"] = pd.util.testing.rands_array(10, N)