if ($this->getTestSku()) {
   ...
} elseif ($this->getTestOffset() >= 0 && $this->getTestLimit() > 0) {
   ...
} else {
   Mage::throwException(sprintf("Invalid parameters for test mode: sku %s or offset %s and limit %s", $this->getTestSku(), $this->getTestOffset(), $this->getTestLimit()));
}

		roots.push(resolver(Config.root, `${pageDir}${path.sep}${page}${path.sep}${page}.html`));

/**
 * 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;
}

function deleteConfirm() {
    var result = confirm("Are you sure to delete this customer ?");
    if (result) {
        return true;
    } else {
        return false;
    }
}

{!! Form::select('ticket_category', \App\Models\Term::whereHas('taxonomy', function($query) {
    $query->where('slug', 'ticket_category'); 
  })->whereIn('id', ['15', '16', '17', '18'])
  ->pluck('name','id'), old('ticket_category'), [
    'id' => 'ticket_category', 
    'class' => 'form-control', 
    'placeholder' => 'Seleccione una categoría']
  )
!!}

    public function getProfilePicture(Company $company, $id, $url = null) {
        // @TODO: Figure out how to do this.
        return null;
    }

this.props.HeaderStore.setHeader(true, null, false, false, true, true,'dashboardNavigation');

const rola = (usr: IUserData) => {
    let student = "student"
    let edukator = "edukator"
    let dziekanat = "dziekanat"
    let admin = "admin"
    if(usr.type===1){
        return student
    }
    else if(usr.type===2){
        return edukator
    }
    else if(usr.type===3){
        return dziekanat
    }
    else if(usr.type===4){
        return admin
    }
}

function clean(toClean, source){
	if (typeof(toClean) !== 'string') return true;
	if (typeof(source) !== 'string') return true;
	
	return source.replace(toClean, String('CLEANED')).toString();
}

$(document).on('click', '.edit-item', function(event) {
    let row_id = event.currentTarget.attributes['data-row'].value,
    data = dataIndex[
        dataIndex.findIndex(i => i.id === Number(row_id))
    ];
    $('.modal-body div:nth-child(1) input').attr('value', data.name)
    $('.modal-body div:nth-child(2) input').attr('value', data.category)
    $('.modal-body div:nth-child(3) #basicSelect').val(data.status)
    $('.modal-body div:nth-child(4) input').attr('value', data.price)
    $('.modal-body div:nth-child(5) input').attr('value', data.bju.mass)
    $('.modal-body div:nth-child(6) input').attr('value', data.bju.calories)
    $('.modal-body div:nth-child(7) input').attr('value', data.bju.proteins)
    $('.modal-body div:nth-child(8) input').attr('value', data.bju.fats)
    $('.modal-body div:nth-child(9) input').attr('value', data.bju.carbohydrates)
}
)

let showDots = typeof project.showDots === 'boolean' ? project.showDots : false;

if (showDots) {
    // Somecode ...
}

    @Override
    public String toString() {
        List<Integer> accountLevels = new ArrayList<>();
        List<String> accountIds = new ArrayList<>();

        for (SelectedHierarchyLevel selectedHierarchyLevel : selectedHierarchyLevels) {
            accountLevels.add(selectedHierarchyLevel.getLevel());
            accountIds.add(selectedHierarchyLevel.getAccountRowId());
        }

        vetoAreValidIds(accountIds);
        StringBuilder converterString = new StringBuilder();

        convert(accountLevels, converterString);
        converterString.append("$");
        convert(accountIds, converterString);

        return converterString.toString();
    }

class JavaScriptParser(BaseParser):
    ... # some (exactly four) (useful?) methods
    get_references_of_tag = get_forms = BaseParser._return_empty_list
    get_comments = BaseParser._return_empty_list
    get_meta_redir = get_meta_tags = get_emails = BaseParser._return_empty_list

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