let column_num = 4; //starts at zero, so 3rd column = 2

let truncation_value = 0.5;

let download_images = false;

let height = 1024;

let width = 1024;

let start_vector = 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​

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​

​

​

​

​

/*----------------------------*/

/* No need to edit below here */

​

let table;

let stock_data;

let data_min, data_max;

let vectors_out = [];

let total_frame_count;

function preload() {

  table = loadTable(file, 'csv', 'header');

}

​

function setup() {

  pixelDensity(1);

  createCanvas(width, height);

  // debug_csv() //uncomment this if you want to look at the data

  stock_data = get_csv_column_data(column_num);

  total_frame_count = stock_data.length;

  data_min = Math.min(...stock_data);

  data_max = Math.max(...stock_data);

  //convert vectors to numjs format

  v1 = nj.array(start_vector);

  v2 = nj.array(end_vector);

  for(let d = 0; d < stock_data.length-1; d++) {

    let lerp_val = map(stock_data[d], data_min, data_max, 0.0, 1.0);

    // print(lerp_val);

    vectors_out.push(njlerp(v1,v2,lerp_val).tolist())

  }

  generateInterpolation();

}

​

function get_csv_column_data(column_counter){

  //cycle through the table, get closing price

  data = [];

  for (let r = 0; r < table.getRowCount(); r++) {

    data.push(table.getString(r, column_counter));

  }

  return data

}

​

function debug_csv(){

  //count the columns

  print(table.getRowCount() + ' total rows in table');

  print(table.getColumnCount() + ' total columns in table');

  //cycle through the table

  for (let r = 0; r < table.getRowCount(); r++) {

    for (let c = 0; c < table.getColumnCount(); c++) {

      print(table.getString(r, c));

    }

  }

}

​

​

function generateInterpolation() {

  a = vectors_out[count]

  const path = "http://localhost:8000/query";

  const data = {

    z: a,

    truncation: truncation_value

  };

  httpPost(path, 'json', data, gotImage, gotError);

}

​

function gotError(error) {

  console.error(error);

}

​

function gotImage(result) {

  i = createImg(result.image, "", 'anonymous', imageReady);

  i.hide();

}

​

let count = 0;

​

function imageReady() {

  image(i, 0, 0);

  if (download_images) save(`step${nf(count, 4)}`);

  count++;

  if (count <= total_frame_count) {

    print('generating image ' + (count) +'/'+ total_frame_count)

    setTimeout(generateInterpolation, 100);

  }

}

​

function njlerp(v0, v1, t) {

  return v0.multiply(1-t).add(v1.multiply(t));

}