//
$clicks[] = $cl;
//
$fps[] = (int) $log['fps'];
$hovered .= $log['hovered'];
$clicked .= $log['clicked'];
$timestamp = mask_client($log['client_id']) . '\\n' . date("h:i A", strtotime($log['sess_date']));
$hn = new Hypernote($_GET['pid'], $_SESSION['login']);
$hypernotes = $hn->getData(false);
// build JavaScript object
$JSON[] = '{' . '"id": ' . $log['id'] . ', ' . '"xcoords": [' . $log['coords_x'] . '], ' . '"ycoords": [' . $log['coords_y'] . '], ' . '"clicks": [' . $log['clicks'] . '], ' . '"timestamp": "' . $timestamp . '", ' . '"hypernotes": ' . json_encode($hypernotes) . ', ' . '"wprev": ' . $vpw . ', ' . '"hprev": ' . $vph . ', ' . '"time": ' . $log['sess_time'] . '' . '}';
}
// set a common frame rate for all tracks
$fps = ceil(array_avg($fps));
$viewportWidth = ceil(array_avg($viewportWidth));
$viewportHeight = ceil(array_avg($viewportHeight));
// compute the average user path, if need be ---------------------------------
if (db_option(TBL_PREFIX . TBL_CMS, "displayAvgTrack")) {
// preprocess: pad all mouse vectors
$maxWeight = max($weights);
foreach ($weights as $i => $w) {
$items = count($coordsX[$i]);
$diff = $maxWeight - $items;
if ($diff > 0) {
$coordsX[$i] = array_pad($coordsX[$i], $items + $diff, 0);
$coordsY[$i] = array_pad($coordsY[$i], $items + $diff, 0);
$clicks[$i] = array_pad($clicks[$i], $items + $diff, 0);
}
}
$users = count($logs);
// chek logs count to access coordinates index
$pvalue = $pempty;
$pempty = $tmp;
}
$w = $config['percent_graph_width'] + 2;
if (empty($ci['istotal'])) {
$graph = freeblock_to_graph($ci['free_blocks'], $ci['size']);
$blocksgraph = "<div class=\"blocksgraph\" style=\"width: {$w}px\">{$graph}</div>";
} else {
$blocksgraph = '';
}
$ci_slots = size($ci['slots']);
$ci_size = size($ci['size']);
$ci_avail = size($ci['avail']);
$ci = number_formats($ci, $numkeys);
$hits_avg_h = number_format(array_avg($ci['hits_by_hour']), 2);
$hits_avg_s = number_format(array_avg($ci['hits_by_second']), 2);
$hits_graph_h = get_cache_hits_graph($ci, 'hits_by_hour');
if (!empty($ci['istotal'])) {
$ci['status'] = '-';
$ci['can_readonly'] = '-';
} else {
if ($ci['disabled']) {
$ci['status'] = $l_disabled . sprintf("(%s)", age($ci['disabled']));
} else {
if ($ci['type'] == XC_TYPE_PHP) {
$ci['status'] = $ci['compiling'] ? $l_compiling . sprintf("(%s)", age($ci['compiling'])) : $l_normal;
} else {
$ci['status'] = '-';
}
}
$ci['can_readonly'] = $ci['can_readonly'] ? 'yes' : 'no';
/**
* Computes the average sum of a matrix, assuming that each row is a numeric array.
* @param array $matrix a set of arrays (matrix)
* @return float matrix average value
*/
function matrix_avg($matrix)
{
$sum = 0;
$count = 0;
foreach ($matrix as $arrItem) {
//if (!is_array($arrItem)) $arrItem = explode(",", $arrItem);
$sum += array_avg($arrItem);
++$count;
}
return round($sum / $count, 2);
}
public function __construct(array $track)
{
$x = $track['x'];
$y = $track['y'];
$c = $track['c'];
// Ensure real arrays
if (!is_array($x)) {
$x = explode(",", $x);
}
if (!is_array($y)) {
$y = explode(",", $y);
}
if (!is_array($c)) {
$c = explode(",", $c);
}
$f = (int) $track['f'];
$n = count($x);
$distCoords = convert_points($x, $y, true);
// Distance study
$dc_x = array();
$dc_y = array();
foreach ($x as $j => $val) {
if ($j >= $n - 1) {
break;
}
$dx = abs($x[$j] - $x[$j + 1]);
$dy = abs($y[$j] - $y[$j + 1]);
$dc_x[] = $dx;
$dc_y[] = $dy;
$dc_t[] = $dx * $dx + $dy * $dy;
}
// Kinematics study
$stop = 0;
foreach ($distCoords as $dist) {
if ($dist > 0) {
continue;
}
++$stop;
}
$clean_x = array_unique($x);
$clean_y = array_unique($y);
// Horizontal components
$entry_x = $x[0];
$exit_x = $x[$n - 1];
$min_x = min($clean_x);
$max_x = max($clean_x);
$range_x = $max_x - $min_x;
$scroll_x = 100 * round($range_x / $track['w'], 4);
$centroid_x = array_avg($clean_x);
$len_x = array_sum($dc_x);
$dist_x = array_avg($dc_x);
// Vertical components
$entry_y = $y[0];
$exit_y = $y[$n - 1];
$min_y = min($clean_y);
$max_y = max($clean_y);
$range_y = $max_y - $min_y;
$scroll_y = 100 * round($range_y / $track['h'], 4);
$centroid_y = array_avg($clean_y);
$len_y = array_sum($dc_y);
$dist_y = array_avg($dc_y);
// Total components
$dist_t = array_avg($dc_t);
$len_t = array_sum($dc_t);
// save features
$this->time = round($n / $f, 2);
$this->numClicks = count_clicks($c);
$this->activity = 100 * (1 - round($stop / count($distCoords), 4));
$this->entry = array('x' => $entry_x, 'y' => $entry_y);
$this->exit = array('x' => $exit_x, 'y' => $exit_y);
$this->range = array('x' => $range_x, 'y' => $range_y);
$this->scrollReach = array('x' => $scroll_x, 'y' => $scroll_y);
$this->centroid = array('x' => $centroid_x, 'y' => $centroid_y);
$this->trackLen = array('x' => $len_x, 'y' => $len_y, 't' => $len_t);
$this->distance = array('x' => $dist_x, 'y' => $dist_y, 't' => $dist_t);
}
$list .= array_avg($allLenX) . ",<br />" . array_avg($allLenY); $list .= '</td>' . PHP_EOL; $list .= '<td>' . PHP_EOL; $list .= array_avg($allRangeX) . ",<br />" . array_avg($allRangeY); $list .= '</td>' . PHP_EOL; $list .= '<td>' . PHP_EOL; $list .= array_avg($allScrollX) . ",<br />" . array_avg($allScrollY); $list .= '</td>' . PHP_EOL; $list .= '<td>' . PHP_EOL; $list .= array_avg($allEntryX) . ",<br />" . array_avg($allEntryY); $list .= '</td>' . PHP_EOL; $list .= '<td>' . PHP_EOL; $list .= array_avg($allExitX) . ",<br />" . array_avg($allExitY); $list .= '</td>' . PHP_EOL; $list .= '<td>' . PHP_EOL; $list .= array_avg($allCenX) . ",<br />" . array_avg($allCenY); $list .= '</td>' . PHP_EOL; $list .= '</tr>' . PHP_EOL; // standard deviations of log data $list .= '<tr class="odd">' . PHP_EOL; //$list .= '<td><abbr title="Sample Standard Deviation">σ</abbr></td>'.PHP_EOL; $list .= '<td>' . PHP_EOL; $list .= array_sd($allTime); $list .= '</td>' . PHP_EOL; $list .= '<td>' . PHP_EOL; $list .= array_sd($allActivity); $list .= '</td>' . PHP_EOL; $list .= '<td>' . PHP_EOL; $list .= array_sd($allClicks); $list .= '</td>' . PHP_EOL; $list .= '<td>' . PHP_EOL;
function loop_setup($file_type, $target_array)
{
$api_return = api_call($target_array[id], $target_array[info]);
if ($target_array[object] === 'effort') {
$ride_name = $api_return->{$target_array}[object]->segment->name;
} else {
$ride_name = $api_return->{$target_array}[object]->name;
}
$offset_date = $api_return->{$target_array}[object]->startDate;
$utc_offset = $api_return->{$target_array}[object]->timeZoneOffset;
$total_time = $api_return->{$target_array}[object]->elapsedTime;
$total_dist = $api_return->{$target_array}[object]->distance;
//TCX FORMAT REQUIRES AVG HR, MAX HR, AVG CADENCE
if ($file_type === 'TCX' and $target_array[object] !== 'segment') {
$stream_return = api_call($target_array[id], $target_array[stream]);
if ($stream_return->heartrate !== NULL) {
$hr_avg = array_avg($stream_return->heartrate);
$hr_max = max($stream_return->heartrate);
}
if ($stream_return->cadence !== NULL) {
$cadence = array_avg($stream_return->cadence);
}
}
$start_epoch = gps_to_epoch($offset_date) - $utc_offset;
$ride_date = gps_date($start_epoch);
$export_date = gps_date(time());
if ($target_array[object] === 'segment') {
$ride_date = $export_date;
$total_time = 0;
$hr_avg = NULL;
$hr_max = NULL;
$cadence = NULL;
}
$ride_data_array = array('export_date' => $export_date, 'ride_name' => $ride_name, 'ride_date' => $ride_date, 'total_time' => $total_time, 'total_distance' => $total_dist, 'hr_avg' => $hr_avg, 'hr_max' => $hr_max, 'cadence' => $cadence);
return $ride_data_array;
}
require_once "Wicker.php";
require_once "Scan.class.php";
$scan = Scan::fromDB(1);
$statement = $wicker->db->con()->prepare("SELECT * FROM `aps` WHERE `scan_id` = ? GROUP BY `latitude` ORDER BY `id`");
$statement->execute(array(1));
$a = 0;
while ($info = $statement->fetchObject()) {
$coords[$a]["lat"] = $info->latitude;
$coords[$a]["long"] = $info->longitude;
$array_lat[] = $info->latitude;
$array_long[] = $info->longitude;
$a++;
}
$avg_lat = array_avg($array_lat);
$avg_long = array_avg($array_long);
$coord_data = <<<COORD
var latlng = new google.maps.LatLng({$avg_lat}, {$avg_long});
var myOptions = {
zoom: 14,
center: latlng,
mapTypeId: google.maps.MapTypeId.ROADMAP
};
var map = new google.maps.Map(document.getElementById("map_canvas"),
myOptions);
COORD;
$coord_data .= "\n";
$a = 0;
$multiple = true;
foreach ($coords as $coord) {
$statement = $wicker->db->con()->query("SELECT * FROM `aps` WHERE `scan_id` = 1 AND `essid` <> ' ' AND `latitude` = " . $coord['lat'] . " AND `longitude` = " . $coord['long']);
