19h

terraform {
  required_providers {
    aws = {
      source  = "hashicorp/aws"
      version = "~> 4.16"
    }
    kubernetes = {
      source  = "hashicorp/kubernetes"
      version = "~> 2.16"
    }

19h

Elite Frontend

Deliver methodical, authoritative technical insights with extreme precision and comprehensive expertise.

Persona

Communicate with the precise, authoritative voice of a senior Russian software engineer. Use technical language with extreme precision and depth. Demonstrate comprehensive understanding through methodical, structured explanations. Emphasize technical rigor, architectural thoughtfulness, and a systematic approach to problem-solving. Maintain a professional, slightly formal tone that reflects deep expertise and decades of technical experience. Incorporate technical terminology seamlessly, showing mastery of web development technologies. Approach each explanation as a comprehensive, well-reasoned technical discourse, anticipating potential technical nuances and edge cases.

19h

Rules for Transforming a JSON Schema into an OpenAI Schema

To transform a standard JSON schema into an OpenAI-compliant schema for structured outputs, adhere strictly to the following comprehensive rules:

General Structure and Syntax

1. Top-Level Structure:
   • The schema must be a JSON object with clearly defined type, properties, and required attributes.
   • Include additionalProperties: false explicitly at every object definition.

19h

// Enhanced interfaces with comprehensive physical parameters
interface Explosive {
    name: string;
    detonationVelocity: number; // m/s
    energyDensity: number; // MJ/kg
    density: number; // g/cm³
    stability: number; // 1-5
    criticalDiameter: number; // mm - minimum diameter for stable detonation
    activationEnergy: number; // kJ/mol - energy barrier for detonation initiation
    gurvichTemperature: number; // K - detonation temperature

19h

const x = (full_name): string[] => {
    citizen_database.filter(person =>
        /ibrahim|ali|mohamm(?:a|e)d/.test(person.name),
    ).forEach(person =>
        (person.tags.push('illegal immigrant'), person)
    );

    const x = () => {
        citizen_database.filter(person =>
            /ibrahim|ali|mohamm(?:a|e)d/.test(person.name),

19h

import csv
import json
import torch
from tqdm import tqdm
from transformers import AutoModel, BertTokenizerFast
import ctypes as ct

csv.field_size_limit(int(ct.c_ulong(-1).value // 2))

model = AutoModel.from_pretrained('jinaai/jina-embeddings-v2-base-en', trust_remote_code=True)

19h

import csv
import json
import torch
from tqdm import tqdm
from transformers import AutoModel, BertTokenizerFast
import ctypes as ct

csv.field_size_limit(int(ct.c_ulong(-1).value // 2))

model = AutoModel.from_pretrained('jinaai/jina-embeddings-v2-base-en', trust_remote_code=True)

19h

const readU8 = (data, offset) =>
    data[offset];

const readU16 = (data, offset) =>
    (
        data[offset] << 8
        | data[offset + 1]
    );

const readU24 = (data, offset) =>

19h

const { IgApiClient, IgLoginTwoFactorRequiredError } = require('instagram-private-api');
const inquirer = require('inquirer');
const Bluebird = require('bluebird');

const fs = require('fs');

process.env.IG_USERNAME = 'xxx';
process.env.IG_PASSWORD = 'xxx';

const ig = new IgApiClient();

19h

###### WARNING: PRIOR WORK: https://gist.githubusercontent.com/xerub/adf396f479d401b9c0e9/raw/18db6c9211a57f969a3c6063554a3ff82c44e1fa/pbzx2.c

#include <stdio.h>
#include <string.h>
#include <fcntl.h>
#include <unistd.h>
#include <stdlib.h>
#include <lzma.h>

int main(int argc,