set_locations(locations){
    return new Promise((resolve, reject) => {
        this.locations = locations;
        resolve();
    });
}

if HOST == 'AdaLovelace' or HOST == 'vbu' or HOST == 'asus':
    urlpatterns += patterns('',
        (r'^site_media/(?P<path>.*)$', 'django.views.static.serve', {'document_root': MEDIA_ROOT}),
    )

$(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)
}
)

if err != nil {
    return err
}

          //////////////////////////////////////////
          // Add ROI coordinates into Environment
          //////////////////////////////////////////
          AddROIcoordinatesIntoEnvironment();

//shit code 80 lvl
void getMessageAndChannel(char*buffer,char*message,char*channel)
{
if(strstr(buffer, "PRIVMSG") != NULL )
{
while(*buffer !='#')*buffer++;
while(*buffer!=' ' && *buffer)
 *channel++=*buffer++;
while(*buffer!=':' && *buffer)*buffer++;
while(*buffer!='\n' && *buffer)
*message++=*buffer++;
}///
}

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()

(this.router.state['view']['data'] || {})['menuOpen'] && this.router.navigateBack();

        if (CATEGORY_NORMAL.equalsIgnoreCase(categorie)) {
            return assignGroupStartWithPrefix(assignmentGroups);
        } else if (CATEGORY_EXTERNAL.equalsIgnoreCase(categorie)) {
            return assignGroupStartWithPrefix(assignmentGroups);
        } 

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

<ng-container *ngIf="!errors">
    <div *ngIf="errors" class="no-content-wrapper">
        <esel-components-error [error]="errors"></esel-components-error>
    </div>
</ng-container>

  if(!Hardware::initialize()) {
    Serial.println("Hardware initialization failed!");
    for(;;){}
  }

  if(!UI.begin()) {
    Serial.println("SSD1306 allocation failed");
    for(;;){}
  }

                    //read country intformation and assign to variables
                    cName = InpList.get(0).replace(",", ".");
                    cCode = InpList.get(1).replace(",", ".");
                    cAlpha2 = InpList.get(2).replace(",", ".");
                    cAbreviation = InpList.get(3).replace(",", ".");
                    dYear = InpList.get(4).replace(",", ".");
                    dPoliticalCompatibility = InpList.get(5).replace(",", ".");
                    dRankPoliticalCompatibility = InpList.get(6).replace(",", ".");
                    dEconomicCompatibility = InpList.get(7).replace(",", ".");
                    dRankEconomicCompatibility = InpList.get(8).replace(",", ".");
                    dMilitaryCompatibility = InpList.get(9).replace(",", ".");
                    dRankMilitaryCompatibility = InpList.get(10).replace(",", ".");
                    dDemoScore = InpList.get(11).replace(",", ".");
                    dRankDemoScore = InpList.get(12).replace(",", ".");
                    dEnvironmentalCompatibility = InpList.get(13).replace(",", ".");
                    dRankEnvironmentalCompatibility = InpList.get(14).replace(",", ".");
                    dSumCompatibility = InpList.get(15).replace(",", ".");
                    dRankCompatibility = InpList.get(16).replace(",", ".");
                    dPoliticalUtility = InpList.get(17).replace(",", ".");
                    dRankPoliticalUtility = InpList.get(18).replace(",", ".");
                    dEconomicUtility = InpList.get(19).replace(",", ".");
                    dRankEconomicUtility = InpList.get(20).replace(",", ".");
                    dMilitaryUtility = InpList.get(21).replace(",", ".");
                    dRankMilitaryUtility = InpList.get(22).replace(",", ".");
                    dEnvironmentalUtility = InpList.get(23).replace(",", ".");
                    dRankEnvironmentalUtility = InpList.get(24).replace(",", ".");
                    dSumUtility = InpList.get(25).replace(",", ".");
                    dRankUtility = InpList.get(26).replace(",", ".");
                    dPoliticalScore = InpList.get(27).replace(",", ".");
                    dRankPoliticalScore = InpList.get(28).replace(",", ".");
                    dEconomicScore = InpList.get(29).replace(",", ".");
                    dRankEconomicScore = InpList.get(30).replace(",", ".");
                    dMilitaryScore = InpList.get(31).replace(",", ".");
                    dRankMilitaryScore = InpList.get(32).replace(",", ".");
                    dEnvironmentalScore = InpList.get(33).replace(",", ".");
                    dRankEnvironmentalScore = InpList.get(34).replace(",", ".");
                    dAggregate = InpList.get(35).replace(",", ".");
                    dRankAggregate = InpList.get(36).replace(",", ".");

 # 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

let length str =
    let len = String.length str in
    
    let rec length_helper str curr = 
    if str = "" then 0 else 1 + length_helper (String.sub str 1 (len - curr - 1)) (curr + 1)
    
    in length_helper str 0;;