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package org.apache.iceberg.parquet;

import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import org.apache.avro.Schema;
import org.apache.avro.generic.GenericRecord;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;

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import json
import os
import glob
import pytesseract
import multiprocessing
from pdf2image import convert_from_path


def ocr_pdf_to_json(pdf_path):
    # Convert PDF to images (one per page)

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// use rand::Rng;
use std::time::Instant;
use zstd::{decode_all, stream::encode_all};

fn main() -> Result<(), Box<dyn std::error::Error>> {
    // Generate sample data - 1 million random u32 integers
    let count = 64_000;
    println!("Generating {} random integers...", count);

    // let mut rng = rand::rng();

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plugins {
    `java-library`
    `maven-publish`
    `signing`
}

val tokenizerSharedLibrary by configurations.creating {
    isCanBeConsumed = false
}

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"""
A simple simulation of the Monty Hall problem
"""

import random


ROUNDS = 100_000
WINS = 0

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import pyarrow.parquet as pq
import vortex as vx
import numpy as np
from time import time


# taken from OpenAI text-3-small
EMBED_DIM = 1536
N_EMBEDS = 1

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pub fn pack_u8_u3(input: &[u8], packed: &mut [u8]) {
    // We have 1024 / size_of<T>() == 128 lanes to pull from.
    // Each lane accesses 1024 / T elements of data.
    const MASK: u8 = 0b111;
    const LANES: usize = 1024 / 8;
    for lane in 0..LANES {
        // First kernel: take in chunks of W values from the lane, and apply the same
        // operation. Being careful to shift off each time.
        let a = input[128 * 0 + lane] & MASK;
        let b = input[128 * 1 + lane] & MASK;

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macro_rules! make_encoding_ids_rec {
    ($count:expr) => {};
    ($count:expr, $encoding:ident $($tts:tt)*) => {
        pub const $encoding: u16 = $count;
        make_encoding_ids_rec!(($count+1u16) $($tts)*);
    }
}

macro_rules! make_encoding_ids {
    ($($encodings:ident),*) => {

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/* SPDX-License-Identifier: MIT */
/* based on linux-kernel/tools/testing/selftests/net/msg_zerocopy.c */
/* gcc -luring -O2 -o send-zc ./send-zc.c */
#include <stdio.h>
#include <stdlib.h>
#include <stdint.h>
#include <assert.h>
#include <errno.h>
#include <error.h>
#include <limits.h>

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import marimo

__generated_with = "0.1.76"
app = marimo.App()


@app.cell
def __():
    from astropy.time import Time
    from astropy.coordinates import EarthLocation, get_sun, get_moon, AltAz