tcyrus

// https links
console.log([].slice.call(document.getElementsByTagName('a')).map(z => z['href']).filter(z => z.match(/^https:\/\/github.com\/ORGANIZATION\/[0-9A-Za-z\-\_\.]+$/)).join('\n'))
// ssh links
console.log([].slice.call(document.getElementsByTagName('a')).map(z => z['href']).filter(z => z.match(/^https:\/\/github.com\/ORGANIZATION\/[0-9A-Za-z\-\_\.]+$/)).map(z => 'git@github.com:'+z.substring(19)+'.git').join('\n'))

tcyrus

import numpy
import tqdm


dataset_file = 'GoogleNews-vectors-negative300.bin'
output_file = 'dataset-trimmed.bin'


def read_dataset_header(f) -> tuple[int, int]:
    line = bytearray()

tcyrus

CREATE SEQUENCE IF NOT EXISTS public.snowflake_id_seq
    MINVALUE 0 MAXVALUE 1023
    CYCLE;
ALTER SEQUENCE public.global_id_seq OWNER TO postgres;

-- 41 bits for time in milliseconds
-- (41 years of IDs from epoch)
-- 13 bits for the logical shard ID
-- 10 bits for the global auto-incrementing sequence (modulus 1024).
-- This means we can generate 1024 IDs, per shard, per millisecond

tcyrus

;; nano.el -- A very minimal emacs
;; Usage: emacs -q -l nano.el
;; 
;; Copyright (C) 2020 Nicolas .P Rougier
;;
;; Author: Nicolas P. Rougier <nicolas.rougier@inria.fr>
;;
;; This program is free software; you can redistribute it and/or modify
;; it under the terms of the GNU General Public License as published by
;; the Free Software Foundation, either version 3 of the License, or

tcyrus

BEGIN MESSAGE.
cHN7wExcEmylXDi 7suT7bNcw6LiOOz EJfkUwKl2Dz7hRL BlBBqDyzxCoV8fM
wAoqc3gjCt9sEGO 6hFUVNHcv9nTCKq 6Xr2MZHgg4hDMLs RMRua7hdnEiFHgv
D5jAVUVl5RbYTwU j0pURo79upsTgDn 0EKvJyEjsIyLdQo gZRqNvPRqQqRgZ1
iMwiNGUB6dm5vCI WeWrFyJQIIoRXlZ rdBnW21.
END MESSAGE.

tcyrus

# This should be able to convert the pre-trained models from lltcggie/waifu2x-caffe to ONNX

# Based on the onnx converter script:
# https://github.com/onnx/onnx-docker/blob/master/onnx-ecosystem/converter_scripts/caffe_coreml_onnx.ipynb

import os
import coremltools
import onnxmltools

models_dir = 'waifu2x-caffe/models/'

tcyrus

const { Client, RichEmbed } = require('discord.js');
const client = new Client();

const { Story } = require('inkjs');
const fs = require('fs');

const { Pool } = require('pg');
const pool = new Pool({
    user: 'me',
    host: 'localhost',

tcyrus

#[macro_use]
extern crate clap;
extern crate chrono;

use std::collections::BTreeMap;
use std::fs::{self, DirEntry, File};
use std::io::{BufRead, BufReader};
use std::path::Path;
use std::process;

tcyrus

lapis = require "lapis"
import Model from require "lapis.db.model"
import respond_to, capture_errors from require "lapis.application"

class Users extends Model

class Items extends Model

class extends lapis.Application
  [index: "/"]: =>

tcyrus

server {
	listen 80;
	listen [::]:80;
	server_name paff.tcyr.us;
	access_log off;
	error_log off;
	return 301 https://$host$request_uri;
}

server {