const convertMenu = menus => {
    const menusAssinged = menus.filter(menu => menu.parentId == null).sort((a, b) => a.order - b.order).map(menu => {
        if (menus.some(element => element.parentId == menu.menuId)) {
            return {
                title: menu.title,
                icon: { icon: menu.icon },
                children: menus.filter(menuChil => menuChil.parentId == menu.menuId).sort((a, b) => a.order - b.order).map(menuChil => {

                    if (menuChil.pathRoute.includes(":")) {
                        const params = menuChil.pathRoute.split(":").pop()

                        return {
                            title: menuChil.title,
                            to: { name: menuChil.nameRoute, params: { [params]: "abc" } },
                        }
                    } else {
                        return {
                            title: menuChil.title,
                            to: menuChil.nameRoute,
                        }
                    }
                }),
            }
        } else {
            return {
                title: menu.title,
                icon: { icon: menu.icon },
                to: menu.nameRoute,
            }
        }
    })

    menusUser.value = menusAssinged
    localStorage.setItem('menus', JSON.stringify(menusAssinged))
}

def get_schema(self, schema: object) -> object:
    """Get the Schema class
    """
    if isinstance(schema, str):
        Schema = getattr(self.request["operation"], schema, None)
    else:
        Schema = schema
    if Schema is None:
        Schema = getattr(self, schema, None)
        if Schema is None:
            raise web.HTTPNotImplemented
    return Schema

var list = new List<string>() { // Assume some items in the list };

for (var i = 0; i < list.Count; i++)
{
    var item = list[i];
    list.Remove(item);
    
    i--;
}

 # 5-level loop, forgive me...
        for xi, xs in enumerate(X):
            for yi, ys in enumerate(Y):
                for zi, zs in enumerate(Z):
                    lx, ly, lz = len(xs), len(ys), len(zs)
                    # construct points
                    xx, yy, zz = custom_meshgrid(xs, ys, zs)
                    world_xyzs = (
                        torch.cat(
                            [xx.reshape(-1, 1), yy.reshape(-1, 1), zz.reshape(-1, 1)],
                            dim=-1,
                        )
                        .unsqueeze(0)
                        .to(count.device)
                    )  # [1, N, 3]

                    # cascading
                    for cas in range(self.cascade):
                        bound = min(2**cas, self.bound)
                        half_grid_size = bound / resolution
                        # scale to current cascade's resolution
                        cas_world_xyzs = world_xyzs * (bound - half_grid_size)

                        # split batch to avoid OOM
                        head = 0
                        while head < B:
                            tail = min(head + S, B)

                            # world2cam transform (poses is c2w, so we need to transpose it. Another transpose is needed for batched matmul, so the final form is without transpose.)
                            cam_xyzs = cas_world_xyzs - poses[
                                head:tail, :3, 3
                            ].unsqueeze(1)
                            cam_xyzs = cam_xyzs @ poses[head:tail, :3, :3]  # [S, N, 3]

                            # query if point is covered by any camera
                            mask_z = cam_xyzs[:, :, 2] > 0  # [S, N]
                            mask_x = (
                                torch.abs(cam_xyzs[:, :, 0])
                                < cx / fx * cam_xyzs[:, :, 2] + half_grid_size * 2
                            )
                            mask_y = (
                                torch.abs(cam_xyzs[:, :, 1])
                                < cy / fy * cam_xyzs[:, :, 2] + half_grid_size * 2
                            )
                            mask = (
                                (mask_z & mask_x & mask_y).sum(0).reshape(lx, ly, lz)
                            )  # [N] --> [lx, ly, lz]

                            # update count
                            count[
                                cas,
                                xi * S : xi * S + lx,
                                yi * S : yi * S + ly,
                                zi * S : zi * S + lz,
                            ] += mask
                            head += S

                Path path = FileSystems.getDefault().getPath("../../../../../../../../../../EmailResults.csv");
                Files.deleteIfExists(path);

div.body:first-child:nth-last-child(n+12),
div.body:first-child:nth-last-child(n+12) ~ div.body {
  padding: 3px 5px 2px !important;

  div.rect {
    top: 6px !important;
  }

  div.legend-action {
    top: 3px !important;
  }
}

return [word for word in words if any(all(ch in row for ch in word.lower()) for row in rows)]

if (date.Training != null)
            {
                var training = date.Training;
                var status = new TrainingStatus();
                var refresher = new Training();

                if (training.Trainings != null)
                    refresher = training.Trainings;

                bool hasTakenRefresher = false;
                status.Value = date.Date.AddDays(
                    TrainingHelper.CalculateValidityDays(training.Validity ?? 0, training.ValidityType ?? 0));

                status.Name = training.TrainingName;
                status.ID = training.TrainingID;
                status.Category = training.CategoryTraining != null ? training.CategoryTraining.Name : "Other";
                status.IsTrained = _validityUtilsService.IsValid(training, date.Date);

                if (status.IsTrained)
                {
                    status.IsExpiring = _validityUtilsService.IsExpiring(training, date.Date,
                                            TrainingHelper.CalculateValidityDays(
                                                training.ExpirationWarningValidity ?? 0,
                                                training.ExpirationWarningValidityType ?? 0));
                }

                if (refresher.ID != 0)
                {
                    hasTakenRefresher = employee.Dates
                        .Count(x => x.Training != null
                            && x.TrainingID == refresher.ID) > 1;

                    if (hasTakenRefresher && (status.IsExpiring || !status.IsTrained))
                    {
                        status.IsExpiring = false;
                        var trainingWithNewValidity = new Training();

                        status.Value = date.Date.AddDays(
                            TrainingHelper.CalculateValidityDays(training.ValidityRefresher ?? 0,
                                training.ValidityRefresherType ?? 0));

                        trainingWithNewValidity.Validity = training.ValidityRefresher;
                        trainingWithNewValidity.ValidityType = training.ValidityRefresherType;
                        status.IsTrained = _validityUtilsService.IsValid(trainingWithNewValidity, date.Date);

                        if (status.IsTrained)
                        {
                            status.IsExpiring = _validityUtilsService.IsExpiring(trainingWithNewValidity, date.Date,
                                TrainingHelper.CalculateValidityDays(
                                    refresher.ExpirationWarningValidity ?? 0,
                                    refresher.ExpirationWarningValidityType ?? 0));
                        }
                    }
                }

                if (status.IsTrained && !status.IsExpiring)
                    status.Status = TrainingStatuses.Trained;
                else if (status.IsTrained && status.IsExpiring)
                    status.Status = TrainingStatuses.Expiring;
                else if (!status.IsTrained && !status.IsExpiring)
                    status.Status = TrainingStatuses.Expired;

                status.EmpID = employee.ID;

                return status;
            }

//https://gist.github.com/nim4n136/7fa38467181130f5a2270c39d495101e

function decrypt($msg_encrypted_bundle, $password){
	$password = sha1($password);

	$components = explode( ':', $msg_encrypted_bundle );
	$iv            = $components[0];
	$salt          = hash('sha256', $password.$components[1]);
	$encrypted_msg = $components[2];

	$decrypted_msg = openssl_decrypt(
	  $encrypted_msg, 'aes-256-cbc', $salt, null, $iv
	);

	if ( $decrypted_msg === false )
		return false;
	return $decrypted_msg;
}

 Map<Object, List<Element>> groupeUniqueMap =values.stream().collect(Collectors.groupingBy(this::getCompositeGroupKey, Collectors.toList()));
      if(groupeUniqueMap.containsKey(Arrays.asList(null,null,null,null,null,null,null)))
        return values;
      return doReturn();

/**
 * Stringify a JSON object
 * @param {*} value JSON value to stringify
 * @returns {string} stringify JSON
 */
function stringify(value) {
    var result = {};
    try {
        result = JSON.stringify(value);
    } catch (e) {
        Logger.error('Error while trying to stringify ' + e);
        result = JSON.stringify(result);
    }
    return result;
}

<?php 
$k =1;
for($v = 0; $v < $nt; $v++) {         
	$bgClass= 'blueBg';
		if($k > 1 && $k%2 == 0){
			$bgClass= 'whiteBg';
		}
?> 
<tr  class="row_tr <?php echo $bgClass;?>">						
			<td class="row_td td_column_0">&nbsp;</td>					
			<td class="row_td column_1"><?php echo $rows[$v]['nothing'];?></td>
			...
			<td class="row_td td_column_0">&nbsp;</td>
	</tr>

<?php       
	$k++;
	}	
?>

import cv2
import numpy as np

cap = cv2.VideoCapture(0)

while (1):

    _, frame = cap.read()

    hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)

    lower_green = np.array([40, 50, 50])
    upper_green = np.array([80, 102, 200])

    # Threshold the HSV image to get only green colors
    mask = cv2.inRange(hsv, lower_green, upper_green)

    total_pixels = mask.shape[0] * mask.shape[1]
    print "Number of pixels: %", total_pixels

    pixel_counter = 0
    x_counter = 0
    y_counter = 0
    for y in xrange(640):
        for x in xrange(480):
            pixel = mask[x, y]
            if pixel == 255:
                pixel_counter += 1
                x_counter += x
                y_counter += y
    x_center = x_counter / pixel_counter
    y_center = y_counter / pixel_counter
    print x_center, y_center

    cv2.line(frame, (x_center+15, y_center), (x_center+2, y_center), (235, 218, 100), 1)
    cv2.line(frame, (x_center-15, y_center), (x_center-2, y_center), (235, 218, 100), 1)
    cv2.line(frame, (x_center, y_center+15), (x_center, y_center+2), (235, 218, 100), 1)
    cv2.line(frame, (x_center, y_center-15), (x_center, y_center-2), (235, 218, 100), 1)

    cv2.circle(frame, (x_center, y_center), 4, (235, 218, 100), 2)

    cv2.imshow('frame', frame)

    k = cv2.waitKey(5) & 0xFF
    if k == 27:
        break

cv2.destroyAllWindows()

 if (!String.IsNullOrEmpty(Client.CLADDR1))
            {
                if (Client.CLADDR1 == "NULL")
                {

public override List<Value> Values
{
    get 
    {
        if (_values == null && shouldLoadLazily)
        {
            _values = _lazerLoader.LoadValues<Value>()
        }
        
        return _values;
    }
    set 
    {
        throw new InvalidOperationException("Values are actually readonly- please set in constructor")
    }
}