David Mashburn davidmashburn

my database had 72k annotations at the time I ran these benchmarks, here's the result:

$ python scripts/batch_bench.py conf/development-app.ini dumb
Memory summary: start
      types |   # objects |   total size
=========== | =========== | ============
       dict |       13852 |     12.46 MB
  frozenset |         349 |     11.85 MB
VM: 327.29Mb


	import { buildData } from "./build-data";

	<let/data = []/>
	<let/selected = null/>

	<div class="jumbotron">
	<div class="row">
	<div class="col-md-6">
	<h1>Marko 6 (keyed)</h1>

	import asyncio
	from typing import Coroutine, List, Sequence


	def _limit_concurrency(
	coroutines: Sequence[Coroutine], concurrency: int
	) -> List[Coroutine]:
	"""Decorate coroutines to limit concurrency.

	Enforces a limit on the number of coroutines that can run concurrently in higher

	const dfd = require("danfojs-node")
	const tf = require("@tensorflow/tfjs-node")

	async function load_process_data() {
	let df = await dfd.read_csv("https://web.stanford.edu/class/archive/cs/cs109/cs109.1166/stuff/titanic.csv")

	//A feature engineering: Extract all titles from names columns
	let title = df['Name'].apply((x) => { return x.split(".")[0] }).values
	//replace in df
	df.addColumn({ column: "Name", value: title })

	"""TensorFlow 2.0 implementation of vanilla Autoencoder."""
	import numpy as np
	import tensorflow as tf

	__author__ = "Abien Fred Agarap"

	np.random.seed(1)
	tf.random.set_seed(1)
	batch_size = 128
	epochs = 10

	########################
	# UUID for SQLite hack #
	########################

	from sqlalchemy.types import TypeDecorator, CHAR
	from sqlalchemy.dialects.postgresql import UUID
	import uuid


	class GUID(TypeDecorator):

	# Download installers
	mkdir ~/Downloads/nvidia
	cd ~/Downloads/nvidia
	wget https://developer.nvidia.com/compute/cuda/8.0/Prod2/local_installers/cuda_8.0.61_375.26_linux-run
	wget http://us.download.nvidia.com/XFree86/Linux-x86_64/384.59/NVIDIA-Linux-x86_64-384.59.run
	sudo chmod +x NVIDIA-Linux-x86_64-384.59.run
	sudo chmod +x cuda_8.0.61_375.26_linux-run
	./cuda_8.0.61_375.26_linux-run -extract=~/Downloads/nvidia/
	# Uninstall old stuff
	sudo apt-get --purge remove nvidia-*

	/// given this uncompilable code
	pub fn main() {
	let vec0 = Vec::new();

	let mut vec1 = fill_vec(vec0);

	// Do not change the following line!
	println!("{} has length {} content `{:?}`", "vec0", vec0.len(), vec0);

	vec1.push(88);

	# VERY IMPORTANT! After each kernel update or dkms rebuild the modules must be signed again with the script
	# ~/.ssl/sign-all-modules.sh

	# Place all files in ~/.ssl folder
	mkdir ~/.ssl
	cd ~/.ssl

	# Generate custom keys with openssl
	openssl req -new -x509 -newkey rsa:2048 -keyout MOK.priv -outform DER -out MOK.der -nodes -subj "/CN=Owner/"