Keisuke OTAKI cocomoff

## rust_antenna_greedy.rs
use rand::{Rng, thread_rng};
use rand::distributions::{Uniform};
use std::collections::{HashMap, HashSet};

#[allow(dead_code)]
struct Env {
    rg: f32,          // ランダム位置範囲 (-rg, rg)
    n: usize,         // アンテナ数
    r: f32,           // アンテナの半径
    a: Vec<[f32; 2]>, // アンテナの位置

## main.rs
use rand::distributions::{Bernoulli, Distribution};
use rand::prelude::*;

// Armは以下の機能を持つ
// - 報酬を観察できる
trait Arm {
    fn draw(&self) -> f64;
}

// ベルヌーイ分布に従うarm

## julia_dijkstra_example.jl
# -*- coding: utf-8 -*-

module Dijkstra

using DataStructures

mutable struct Edge
    to::Int
    cost::Int
end

## line_segment_intersect.py
def line_segment_intersection(p1, p2, p3, p4):
    d = (p2[0] - p1[0]) * (p4[1] - p3[1]) - (p2[1] - p1[1]) * (p4[0] - p3[0])
    if d == 0.0:
        return None

    intersect = [0.0, 0.0]
    u = ((p3[0] - p1[0]) * (p4[1] - p3[1]) - (p3[1] - p1[1]) * (p4[0] - p3[0])) / d
    v = ((p3[0] - p1[0]) * (p2[1] - p1[1]) - (p3[1] - p1[1]) * (p2[0] - p1[0])) / d
    if u < 0.0 or u > 1.0 or v < 0.0 or v > 1.0:
        return None

## dFrechet.ipynb

      
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                cocomoff
                / dFrechet.ipynb
            
            
              Created
              December 4, 2019 07:11
            
              
                example of module
              
          
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## edge.txt
1 2
1 3
2 4
3 4
3 5
4 5

## public.rs
use fast_paths::InputGraph;
use fast_paths::PreparationGraph;
use fast_paths::Dijkstra;
use fast_paths::contract_node;

fn main() {
    let mut input_graph = InputGraph::new();
    // // 01234=ABCDE
    // input_graph.add_edge_bidir(0, 2, 1);
    // input_graph.add_edge_bidir(1, 2, 4);

## public.rs
use fast_paths::InputGraph;
use fast_paths::PreparationGraph;
use fast_paths::Dijkstra;
use fast_paths::contract_node;

fn main() {
    let mut input_graph = InputGraph::new();
    // // 01234=ABCDE
    // input_graph.add_edge_bidir(0, 2, 1);
    // input_graph.add_edge_bidir(1, 2, 4);

## index.html
<!DOCTYPE html>
<html>
<head>
    <title>Flask Bokeh Sample</title>
    {% autoescape False %}
    {{ resources }}
    {% endautoescape %}
</head>

<body>

## bokeh_example.py
# -*- coding: utf-8 -*-

import json
from bokeh.embed import json_item
from bokeh.plotting import figure
from bokeh.resources import CDN
from bokeh.sampledata.iris import flowers
from bokeh.embed import components
from bokeh.plotting import figure
from flask import Flask, render_template
	use rand::{Rng, thread_rng};
	use rand::distributions::{Uniform};
	use std::collections::{HashMap, HashSet};

	#[allow(dead_code)]
	struct Env {
	rg: f32, // ランダム位置範囲 (-rg, rg)
	n: usize, // アンテナ数
	r: f32, // アンテナの半径
	a: Vec<[f32; 2]>, // アンテナの位置
	use rand::distributions::{Bernoulli, Distribution};
	use rand::prelude::*;

	// Armは以下の機能を持つ
	// - 報酬を観察できる
	trait Arm {
	fn draw(&self) -> f64;
	}

	// ベルヌーイ分布に従うarm
	# -- coding: utf-8 --

	module Dijkstra

	using DataStructures

	mutable struct Edge
	to::Int
	cost::Int
	end
	def line_segment_intersection(p1, p2, p3, p4):
	d = (p2[0] - p1[0]) * (p4[1] - p3[1]) - (p2[1] - p1[1]) * (p4[0] - p3[0])
	if d == 0.0:
	return None

	intersect = [0.0, 0.0]
	u = ((p3[0] - p1[0]) * (p4[1] - p3[1]) - (p3[1] - p1[1]) * (p4[0] - p3[0])) / d
	v = ((p3[0] - p1[0]) * (p2[1] - p1[1]) - (p3[1] - p1[1]) * (p2[0] - p1[0])) / d
	if u < 0.0 or u > 1.0 or v < 0.0 or v > 1.0:
	return None
	use fast_paths::InputGraph;
	use fast_paths::PreparationGraph;
	use fast_paths::Dijkstra;
	use fast_paths::contract_node;

	fn main() {
	let mut input_graph = InputGraph::new();
	// // 01234=ABCDE
	// input_graph.add_edge_bidir(0, 2, 1);
	// input_graph.add_edge_bidir(1, 2, 4);
	<!DOCTYPE html>
	<html>
	<head>
	<title>Flask Bokeh Sample</title>
	{% autoescape False %}
	{{ resources }}
	{% endautoescape %}
	</head>

	<body>
	# -- coding: utf-8 --

	import json
	from bokeh.embed import json_item
	from bokeh.plotting import figure
	from bokeh.resources import CDN
	from bokeh.sampledata.iris import flowers
	from bokeh.embed import components
	from bokeh.plotting import figure
	from flask import Flask, render_template