iamdejan

Hierarchical Motion Planning is a two-layer logic that allows self-driving cars to have a planned path at the beginning of the journey, while being able to avoid sudden collision with another moving object (e.g. other cars, pedestrians). Here is how the hierarchy typically works:
1. Layer 1: The Global Planner (The "GPS"):
    - Algorithm: A*
    - Input: A high-definition (HD) static map of the world (lanes, road boundaries, stop signs).
    - Goal: Find the most efficient route from Point A to Point B.
    - Characteristics: It is slow and computationally expensive because it considers a large area. It assumes the world is "static" (it doesn't know about a pedestrian walking across the street right now).
2. The Local Planner (The "Reflexes")
    - Algorithm: RRT*
    - Input: Real-time sensor data (LiDAR, Cameras) and a small segment of the Global Path.
    - Goal: Ensure the car doesn't hit anything that just appeared. If a ball rolls into the road, the Local Planner deviates from the A* path to avoid it a

iamdejan

# an example of RAG using OpenRouter

import numpy as np
from openai import OpenAI

# Initialize the OpenRouter client
client = OpenAI(
    base_url="https://openrouter.ai",
    api_key="your_openrouter_api_key_here",
)

iamdejan

You are an expert in Mandarin and English, with over 20 years of experience. Now, you are here to help me learn reading Chinese characters by parsing the given sentence and include pinyin in Typst form. I want you to parse this Mandarin sentence into Typst form:
[ Mandarin sentence here ]

Parse the sentence into logical words, so that I can read the character groupings for a word. I've included some examples to help you.

Example 1 (simple sentence):
Input:
我爱你

Output:

iamdejan

iamdejan

iamdejan

You are a competitive programmer, and you are my teammate. We are on Leetcode contest together, and I want you to solve this question:

{{ Problem Title }}

{{ Description }}

Example 1:

{{ Input, output, and explanation (if any) for example 1 }}

iamdejan

iamdejan

Software Licenses

Public Domain

• The Unlicense: text
• Creative Commons Zero (CC0): text
• Do What The F*** You Want Public License (WTFPL): text
• BSD 0-Clause License
• MIT No-Attribution License (MIT-0): text

iamdejan

name: Build and Deploy Image
on:
  push:
    branches:
      - "main"
jobs:
  Main:
    runs-on: ubuntu-20.04
    steps:
      - name: Checkout repository code

iamdejan

# GKE cluster
resource "google_container_cluster" "primary" {
  name     = "${var.project_id}-gke"
  location = var.region

  # We can't create a cluster with no node pool defined, but we want to only use
  # separately managed node pools. So we create the smallest possible default
  # node pool and immediately delete it.
  remove_default_node_pool = true
  initial_node_count       = 1