Gitmoko

from scipy.sparse import lil_matrix
import scipy.sparse as sp
import scipy.sparse.linalg as linalg
import numpy
import math
import matplotlib.pyplot as plt
import matplotlib.widgets as wg 


def NextBadget(badget, fee, headCount):

Gitmoko

# coding: utf-8

# In[41]:


from matplotlib import pyplot as plt
import numpy as np
from sklearn import datasets

Gitmoko

/*
 * This file was generated by the Gradle 'init' task.
 *
 * This generated file contains a sample Java Library project to get you started.
 * For more details take a look at the Java Libraries chapter in the Gradle
 * user guide available at https://docs.gradle.org/5.1.1/userguide/java_library_plugin.html
 */

plugins {
    // Apply the java-library plugin to add support for Java Library

Gitmoko

#include <iostream>
#include <cstdlib>
#include <map>
#include <array>
#include <string>
#include <vector>
#include <fstream>

Gitmoko

" LaTeX Quickrun
let g:quickrun_config['tex'] = {
\ 'runner'    : 'vimproc',
\ 'runner/vimproc/updatetime' : 60,
\ 'command' : 'latexmk',
\ 'outputter' : 'error',
\ 'outputter/error/success' : 'null',
\ 'outputter/error/error' : 'quickfix',
\ 'srcfile' : expand("%"),
\ 'cmdopt': '-pdfdvi',

Gitmoko

#!/usr/bin/env perl
if ($^O eq 'MSWin32') {
  $latex = 'uplatex %O -kanji=utf8 -no-guess-input-enc -synctex=1 %S';
  $pdflatex = 'pdflatex %O -synctex=1 %S';
  $lualatex = 'lualatex -cmdx %O -synctex=1 %S';
  $xelatex = 'xelatex %O -synctex=1 %S';
  $biber = 'biber %O --bblencoding=utf8 -u -U --output_safechars %B';
  $bibtex = 'upbibtex %O %B';
  $makeindex = 'upmendex %O -o %D %S';
  $dvipdf = 'dvipdfmx %O -o %D %S';

Gitmoko

let g:vimproc#download_windows_dll = 1
filetype plugin on
set number
set encoding=utf-8
set fileencoding=utf-8
set smarttab
set expandtab
set tabstop=2
set shiftwidth=2

Gitmoko

#ifdef GL_ES
precision mediump float;
#endif

#extension GL_OES_standard_derivatives : enable



uniform vec2 resolution;
uniform vec2 mouse;

Gitmoko

module AdjAverage where

import Debug.Trace
import KdTree
import Data.List
import Data.Maybe
import ReturnNearestMap
import qualified Data.Array.Repa as R
import Basis

Gitmoko

#ifdef GL_ES
precision mediump float;
#endif

#extension GL_OES_standard_derivatives : enable

uniform float time;
uniform vec2 mouse;
uniform vec2 resolution;