MilesCranmer

function num_tokens {
    prun python -c 'import sys; import tiktoken; s = "\n".join([line for line in sys.stdin]); encoding = tiktoken.get_encoding("cl100k_base"); print(len(encoding.encode(s)))'
}

# e.g., `echo "Hello World!" | num_tokens`
# this should give 3 tokens.

MilesCranmer

from functools import lru_cache

@lru_cache # Stores previously computed factorials
def factorial(num):
  if num < 2:
      return 1
  return num * factorial(num - 1)

def N(C, m_2, m_1, m_0):
  count = 0

MilesCranmer

# Apply a function to any slurm job matching a regexp.
# For example, `son 'my_job_32.*' scancel {}` would run `scancel <job>` on any
# job matching the regexp.
function son {
    squeue -u $USER --format="%i %j" | awk "/${1}/"' {print $1}' | xargs -I {} ${@:2}
}


# Watch a detailed `squeue` output (from Siavash Golkar)
function sqw {

MilesCranmer

┌ Warning: Recursive type
│   T = Node{Float64}
└ @ Enzyme /dev/shm/.julia/packages/GPUCompiler/BxfIW/src/utils.jl:56
┌ Warning: Recursive type
│   T = Node{Float64}
└ @ Enzyme /dev/shm/.julia/packages/GPUCompiler/BxfIW/src/utils.jl:56
┌ Warning: Recursive type
│   T = Node{Float64}
└ @ Enzyme /dev/shm/.julia/packages/GPUCompiler/BxfIW/src/utils.jl:56
┌ Warning: Recursive type

MilesCranmer

using Flux
using Fluxperimental: @compact

nf = 10
nb = 32
nt = 100
d_attn = 64
d_value = 128
d_head = 16
d_out = 256

MilesCranmer

using BenchmarkTools
using ForwardDiff
using ReverseDiff
using Random
using Plots
using Statistics: mean, quantile, std
using Measurements
using Printf: @sprintf
using Colors

MilesCranmer

from argparse import ArgumentParser
import time

import numpy as np
import torch
from torch import nn
from torch.utils.data import DataLoader, TensorDataset
from torch.optim import Adam
from torch.nn import functional as F

MilesCranmer

<?php

require_once 'vendor/autoload.php';

use Gregwar\Captcha\CaptchaBuilder;

// Create a captcha with the text "[email protected]"
$builder = new CaptchaBuilder('[email protected]');
$builder->setMaxBehindLines(10);
$builder->setMaxFrontLines(10);

MilesCranmer

#main-window[titlepreface*="[Sidebery]"] #TabsToolbar {
    visibility: collapse !important;
}
#sidebar-header {
    display: none;
}
#main-window #TabsToolbar {
    overflow: hidden;
    transition: height .3s .3s !important;

MilesCranmer

import re

def reduce_precision_of_constants_in_string(s, precision=3):
    # Find all constants in the string:
    constants = re.findall(r"\b[-+]?\d*\.\d+|\b[-+]?\d+\.?\d*", s)
    for c in constants:
        reduced_c = "{:.{precision}g}".format(float(c), precision=precision)
        s = s.replace(c, reduced_c)
 
    return s