jargnar

Objective

Generate a CSV file cars_bangalore_2025.csv containing ≥50 unique passenger car variants officially sold in Bengaluru, Karnataka, India for Model Year 2025, with complete specifications matching the CarSpec Pydantic schema.

Requirements

Data Quality Standards

• No missing data: Every field must contain valid values (no blanks, nulls, or "N/A")
• Unit compliance: All numeric values must use exact units specified in schema
• Source verification: Each row must cite ≥2 independent, publicly accessible sources

jargnar

%YAML 1.2
---
name: TempleOfRails
file_extensions: [rb]
scope: source.ruby.rails

contexts:
  main:
    # comments
    - match: '#.*$'

jargnar

from atproto import Client, models
from datetime import datetime
import time


# =============================
# -- Update these constants --
# =============================
BSKY_HANDLE     = ''        # Your handle
BSKY_PASSWORD   = ''        # Your password or app password

jargnar

"""
I'm building a simple hybrid model to predict growth rate and production rate for a bioprocess.

Can you give me the most simplest form of Neural ODE in JAX. 
My ODE im trying to solve is a growth rate and production rate in context of bioprocess run data. 
Here are my model equations:

I want to first solve the ODE
D = dV/dt = f(t) + b

jargnar

"""
I'm building a simple hybrid model to predict 
growth rate and production rate for a bioprocess.
My Neural ODE solves for growth rate and 
production rate in context of bioprocess run data. 

Here are my model equations:
First
D = dV/dt = f(t) + b

jargnar

from flask import Flask, jsonify
import sqlite3

app = Flask(__name__)

DATABASE = 'movies.db'

def get_db_connection():
    conn = sqlite3.connect(DATABASE)
    conn.row_factory = sqlite3.Row

jargnar

import 'dart:typed_data';
import 'package:firebase_core/firebase_core.dart';
import 'package:cloud_firestore/cloud_firestore.dart';
import 'package:flutter/material.dart';
import 'dart:convert';
import 'package:intl/intl.dart';

class ArticleModel {
  String title;
  String body;

jargnar

// MIT
// Suhas Guruprasad, jargnar@gmail.com

const puppeteer = require("puppeteer");
const fetch = require("node-fetch");
const imagemin = require("imagemin");
const imageminMozjpeg = require("imagemin-mozjpeg");
const fs = require("fs").promises;

jargnar

use std::collections::HashMap;
use std::cmp::min;

impl Solution {
    pub fn min_distance(word1: String, word2: String) -> i32 {
        let mut D: HashMap<(i32, i32), i32> = HashMap::new();
        let m = word1.len() as i32;
        let n = word2.len() as i32;

        let w1: Vec<char> = word1.chars().collect();

jargnar

use std::collections::HashMap;

impl Solution {
    pub fn fib(n: i32, cache: &mut HashMap<i32, i32>) -> i32 {
        if n <= 2 { return n; }
        else if !cache.contains_key(&(n-1)) && !cache.contains_key(&(n-2)) {
            let a = Self::fib(n - 1, cache);
            let b = Self::fib(n - 2, cache);

            cache.insert(n - 1, a);