| import os,tty;tty.setcbreak(0);M=['']*16 | |
| def G(v): | |
| p=['']*4;u=list(filter(str,v));i=3 | |
| while u:z=u.pop();p[i]=u and z==u[-1]and 2*u.pop()or z;i-=1 | |
| return p | |
| def Y(M,k):i=1;M=zip(*[iter(M)]*4);exec'M=map([list,G][i*k==k*k],zip(*M))[::-1];i+=1;'*4;return sum(M,[]) | |
| while 1: | |
| r=id(M)%71+17 | |
| while M[r%16]*r:r-=1 | |
| if r:M[r%16]=r%7%2*2+2 |
| M[16],X=16,W,k;main(){T(system("stty cbreak") | |
| );puts(W&1?"WIN":"LOSE");}K[]={2,3,1};s(f,d,i | |
| ,j,l,P){for(i=4;i--;)for(j=k=l=0;k<4;)j<4?P=M | |
| [w(d,i,j++)],W|=P>>11,l*P&&(f?M[w(d,i,k)]=l<< | |
| (l==P):0,k++),l=l?P?l-P?P:0:l:P:(f?M[w(d,i,k) | |
| ]=l:0,++k,W|=2*!l,l=0);}w(d,i,j){return d?w(d | |
| -1,j,3-i):4*i+j;}T(i){for(i=X+rand()%X;M[i%X] | |
| *i;i--);i?M[i%X]=2<<rand()%2:0;for(W=i=0;i<4; | |
| )s(0,i++);for(i=X,puts("\e[2J\e[H");i--;i%4|| | |
| puts(""))printf(M[i]?"%4d|":" |",M[i]);W-2 |
I've sniffed most of the Tinder API to see how it works. You can use this to create bots (etc) very trivially. Some example python bot code is here -> https://gist.github.com/rtt/5a2e0cfa638c938cca59 (horribly quick and dirty, you've been warned!)
Note: this was written in April/May 2014 and the API may have changed since
| // Just before switching jobs: | |
| // Add one of these. | |
| // Preferably into the same commit where you do a large merge. | |
| // | |
| // This started as a tweet with a joke of "C++ pro-tip: #define private public", | |
| // and then it quickly escalated into more and more evil suggestions. | |
| // I've tried to capture interesting suggestions here. | |
| // | |
| // Contributors: @r2d2rigo, @joeldevahl, @msinilo, @_Humus_, | |
| // @YuriyODonnell, @rygorous, @cmuratori, @mike_acton, @grumpygiant, |
| #!/usr/bin/env python | |
| import random | |
| import struct | |
| import sys | |
| # Most of the Fat32 class was cribbed from https://gist.github.com/jonte/4577833 | |
| def ppNum(num): | |
| return "%s (%s)" % (hex(num), num) |
Attention: the list was moved to
https://github.com/dypsilon/frontend-dev-bookmarks
This page is not maintained anymore, please update your bookmarks.
| #include <RcppArmadillo.h> | |
| #include <omp.h> | |
| using namespace Rcpp; | |
| using namespace arma; | |
| // [[Rcpp::depends(RcppArmadillo)]] | |
| // [[Rcpp::plugins(openmp)]] | |
| // [[Rcpp::export]] | |
| void updateImplicitX_p(arma::mat & X, const arma::mat & Y, const arma::mat & P, const arma::mat & C, double lambda, int cores = 1) { |
| """ | |
| A bare bones examples of optimizing a black-box function (f) using | |
| Natural Evolution Strategies (NES), where the parameter distribution is a | |
| gaussian of fixed standard deviation. | |
| """ | |
| import numpy as np | |
| np.random.seed(0) | |
| # the function we want to optimize |
People
 :bowtie: |
😄 :smile: |
😆 :laughing: |
|---|---|---|
😊 :blush: |
😃 :smiley: |
:relaxed: |
😏 :smirk: |
😍 :heart_eyes: |
😘 :kissing_heart: |
😚 :kissing_closed_eyes: |
😳 :flushed: |
😌 :relieved: |
😆 :satisfied: |
😁 :grin: |
😉 :wink: |
😜 :stuck_out_tongue_winking_eye: |
😝 :stuck_out_tongue_closed_eyes: |
😀 :grinning: |
😗 :kissing: |
😙 :kissing_smiling_eyes: |
😛 :stuck_out_tongue: |
| #!/bin/bash | |
| # play YUV444 FULL HD file | |
| gst-launch-1.0 -v filesrc location=size_1920x1080.yuv ! \ | |
| videoparse width=1920 height=1080 framerate=25/1 format=GST_VIDEO_FORMAT_Y444 ! \ | |
| videoconvert ! \ | |
| autovideosink | |
| # play YUV422 FULL HD file | |
| gst-launch-1.0 -v filesrc location=size_1920x1080.yuv ! \ |