kingoflolz

import tensorflow as tf
from tqdm import tqdm

index = open("data/openwebtext2_new_inputs.train.index").read().splitlines()

dataset = tf.data.Dataset.from_tensor_slices(index)
dataset = dataset.interleave(tf.data.TFRecordDataset, cycle_length=128, num_parallel_calls=tf.data.experimental.AUTOTUNE)

d = dataset.shuffle(10000).prefetch(100)

kingoflolz

import os


# Run with a bunch of CPU devices.
def setUpModule():
    global prev_xla_flags
    prev_xla_flags = os.getenv("XLA_FLAGS")
    flags_str = prev_xla_flags or ""
    if "xla_force_host_platform_device_count" not in flags_str:
        os.environ["XLA_FLAGS"] = (flags_str + " --xla_force_host_platform_device_count=4")

kingoflolz

import os

import haiku as hk
import jax
import jax.numpy as jnp
import numpy as np

# Run with a bunch of CPU devices.
def setUpModule():
    global prev_xla_flags

kingoflolz

import os
import time

# os.environ["TF_CPP_MIN_VLOG_LEVEL"] = "2"

# TF 2.3.0, you can use kindiana/tf2_test venv to try it out
import tensorflow as tf
from cloud_tpu_client import Client
import logging
# from tensorflow.python.eager import context

kingoflolz

/usr/bin/python3.8 /home/ben/src/fiducial_test/generate_images.py
266995
[examples/lftag.rs:27] idx = 0
[examples/lftag.rs:27] idx = 800
[examples/lftag.rs:27] idx = 2100
[examples/lftag.rs:27] idx = 700
[examples/lftag.rs:27] idx = 1600
[examples/lftag.rs:27] idx = 600
[examples/lftag.rs:27] idx = 1100
[examples/lftag.rs:27] idx = 900

kingoflolz

[package]
name = "alarm"
version = "0.1.0"
authors = ["Ben Wang <[email protected]>"]
edition = "2018"

# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html

[dependencies]
mcp3xxx = "0.1.0-pre.1"

kingoflolz

#include <cmath>

#include <cmath>

/**
Battery Tester 3001
*/

/* Includes ------------------------------------------------------------------*/
#include <cmsis_os.h>

kingoflolz

import random
import subprocess

import numpy as np
import scipy.optimize
import os

import time

import copy

kingoflolz

class Simulation:
    def __init__(self):
        self.commands = ["newdocument(0)", "showconsole()", 'mi_probdef(0, "millimeters", "planar", 1E-8)']

        self.points = {}
        self.materials = {}
        self.circuits = 0

    def run_sim(self):
        self.commands += ['mi_saveas("Untitled.fem")', "mi_analyse()", "mi_loadsolution()"]

kingoflolz

use std::collections::HashSet;
use super::*;
use std::collections::HashMap;

#[aoc_generator(day6)]
pub fn input_generator(input: &str) -> Vec<(usize, usize)> {
    parse_shit(input.trim()).iter()
        .map(|l| (l[0] + 1000, l[1] + 1000)).collect()
}