JNeiger

#include "mtrain.hpp"

#include "bsp.h"
#include  <unistd.h>

#include "PinDefs.hpp"

USBD_HandleTypeDef USBD_Device;

class TempObj {

JNeiger

#include "mtrain.hpp"

#include "bsp.h"
#include  <unistd.h>

#include "PinDefs.hpp"

USBD_HandleTypeDef USBD_Device;

// Doesn't crash

JNeiger

import main
import robocup
import behavior
import constants
import enum

import standard_play
import evaluation.shooting
import evaluation.passing
import tactics.coordinated_pass

JNeiger

#include <string>
#include <regex>
#include <iostream>
#include <algorithm>

int main(int argc, char *argv[]) {
    std::string input = "5mm asdf 6mm asdf";
    std::string output = "";

    // If we get a good string from user, use that

JNeiger

#pragma once

#include <deque>
#include <flann/algorithms/dist.h>
#include <flann/algorithms/kdtree_single_index.h>
#include <flann/flann.hpp>
#include <functional>
#include <list>
#include <memory>
#include <rrt/StateSpace.hpp>

JNeiger

import play
import behavior
import robocup
import main
import constants

class TestIdle(play.Play):
    def __init__(self):
        super().__init__(continuous=True)
        self.add_transition(behavior.Behavior.State.start,

JNeiger

TEST(WindowEvaluator, test_bug) {
    SystemState state;
    OurRobot* obstacleBot = state.self[0];
    obstacleBot->visible = true;
    obstacleBot->pos = Point(0, 3.5);

    Segment ourGoalSegment(
        Point(Field_Dimensions::Current_Dimensions.GoalWidth() / 2.0, 0),
        Point(-Field_Dimensions::Current_Dimensions.GoalWidth() / 2.0, 0));

JNeiger

Clear[bUpper, bLower, kmean, kstdev, r1mean, r1stdev, r2mean, \
r2stdev, r3mean, r3stdev]
ClearAll["Global'*"]
bUpper = 1; bLower = -1; kmean = 0; kstdev = .1;
r1stdev = 0.1;  r2stdev = 0.1; r3stdev = .1;
bounds = UnitStep[x - bUpper] + (1 - UnitStep[x - bLower]);
kickdistr = PDF[NormalDistribution[kmean, kstdev], x];

(* "Complement" of a normal distribution*)
r1form = Sqrt[2*Pi] *  r1stdev * 

JNeiger

Clear[r1mean, r1stdev, r2mean, r2stdev, r3mean, r3stdev, kmean, 
  kstdev, bUpper, bLower];
r1mean = -1; r1stdev = .1; r2mean = 0; r2stdev = .1; r3mean = 0.5; \
r3stdev = .2;
kmean = 0; kstdev = .1;  bUpper = 2; bLower = -2;
robots = Sqrt[2*Pi] * r1stdev * 
    PDF[NormalDistribution[r1mean, r1stdev], x] + 
   Sqrt[2*Pi] * r2stdev * 
    PDF[NormalDistribution[r2mean, r2stdev], x] + 
   Sqrt[2*Pi] * r3stdev * PDF[NormalDistribution[r3mean, r3stdev], x];

JNeiger

function robocup_graph()
    % Turn off warnings due to lineintersect
    % producing warnings about possible float errors for
    % values near zero
    warning('off','all');
    l = 10;
    w = 5;
    num_l = 100;
    num_w = 50;
    num_graphs = 4;