Airplanes.
A Pen by James Drew on CodePen.
A Pen by James Drew on CodePen.
from itertools import product | |
import numpy as np | |
INV_SQRT_3 = 1.0 / np.sqrt(3.0) | |
ASIN_INV_SQRT_3 = np.arcsin(INV_SQRT_3) | |
def gaussian_bell(xs, ys, xc=0., yc=0., xsigma=1., ysigma=1.): | |
""" Compute a 2D Gaussian with asymmetric standard deviations and |
import sys, os | |
import shutil | |
import math | |
import itertools | |
from copy import deepcopy | |
# 0 1 2 3 4 5 6 | |
LIST_elmt = [" ("," (start ",") (end ",") "," (layer ",") ","))"] | |
#LIST_elmt = [" (gr_line (start 131.571908 182.314571) (end 112.874456 120.68499) (angle 90) (layer Dwgs.User) (width 0.1))"] | |
#LIST_elmt = [" (segment (start 118.7 106.7) (end 119.4 106.7) (width 0.25) (layer B.Cu) (net 0))"] |
# https://github.com/emscripten-core/emsdk | |
FROM emscripten/emsdk:3.1.25 | |
RUN apt-get update \ | |
&& apt-get install -qqy \ | |
autoconf \ | |
build-essential \ | |
libglib2.0-dev \ | |
libtool \ | |
pkgconf \ |
from io import StringIO | |
import sys | |
from typing import Dict, Optional | |
from langchain.agents import load_tools | |
from langchain.agents import initialize_agent | |
from langchain.agents.tools import Tool | |
from langchain.llms import OpenAI | |
;SMBDIS.ASM - A COMPREHENSIVE SUPER MARIO BROS. DISASSEMBLY | |
;by doppelganger (doppelheathen@gmail.com) | |
;This file is provided for your own use as-is. It will require the character rom data | |
;and an iNES file header to get it to work. | |
;There are so many people I have to thank for this, that taking all the credit for | |
;myself would be an unforgivable act of arrogance. Without their help this would | |
;probably not be possible. So I thank all the peeps in the nesdev scene whose insight into | |
;the 6502 and the NES helped me learn how it works (you guys know who you are, there's no |
Your mileage will vary.
┌────────────────────────────────────┐
│ │
│ Destination: dist/index.umd.js │
#!/bin/sh | |
# | |
# Here is the software that is needed for the conversion to take place: | |
# 1. DjVuLibre . | |
# 2. LibTiff . | |
# | |
# NOTE: The ddjvu utility has an option to convert specific layers. One common mistake is to convert only the mask layer | |
# or the foreground layer . Technically speaking, the mask layer is the one that should have the actual text but in | |
# practice I have seen that the the DjVu encoder occasionally puts portions of the text in the background layer. Thus, | |
# if you only take the foreground or mask layers, you will lose those bits in the background. If your specific files |
library(mnormt) | |
mycols <- topo.colors(100,0.5) | |
xhat <- c(0.2, -0.2) | |
Sigma <- matrix(c(0.4, 0.3, | |
0.3, 0.45), ncol=2) | |
x1 <- seq(-2, 4,length=151) | |
x2 <- seq(-4, 2,length=151) | |
f <- function(x1,x2, mean=xhat, varcov=Sigma) | |
dmnorm(cbind(x1,x2), mean,varcov) | |
z <- outer(x1,x2, f) |