diff --git a/Karto/assignment4/KTZ004_2019_04_ats.py b/Karto/assignment4/KTZ004_2019_04_ats.py
index 77c1476..2feef2d 100755
--- a/Karto/assignment4/KTZ004_2019_04_ats.py
+++ b/Karto/assignment4/KTZ004_2019_04_ats.py
@@ -130,8 +130,8 @@ Kelias A-08
 Griovys G-11
 *******
 Visas prognozuojamo uzliejimo plotas (0.001 m2 tikslumu)
-*******
+%.3f""" % heptagon_area + """
 Visas uzlietas plotas (0.001 m2 tikslumu)
-*******
+%.3f""" % circle_area + """
 Plotas kuris liko neuzlietas (0.001 m2 tikslumu)
-*******""")
+%.3f""" % (heptagon_area - circle_area))
diff --git a/Karto/assignment4/measure.py b/Karto/assignment4/measure.py
index 33b4304..0dde63d 100755
--- a/Karto/assignment4/measure.py
+++ b/Karto/assignment4/measure.py
@@ -2,7 +2,7 @@
 from collections import namedtuple
 from decimal import Decimal as Dec
 from math import sin, cos, pi
-from shapely.geometry import LineString
+from shapely.geometry import LineString, asPolygon, Point as sPoint
 import numpy as np
 
 def normalize(ang):
@@ -41,6 +41,13 @@ class Vertex:
         """xy returns a tuple of lksx and lksy coordinates"""
         return np.array([float(self.coords.lksx), float(self.coords.lksy)])
 
+def heptagon(d1):
+    angles = np.linspace(0, 2*pi, num=8)
+    R = float(D1)/2/sin(pi/7)
+    heptagon_xy = (np.array([np.cos(angles), np.sin(angles)])*R).T
+    return asPolygon(heptagon_xy)
+
+
 juosta = namedtuple('juosta', ['plotis', 'kryptis', 'dashes', 'spalva'])
 kelias = namedtuple('kelias', ['virsunes', 'plotis', 'kat', 'dashes', 'spalva', 'juostos'])
 
@@ -128,6 +135,10 @@ K1 = Dec('13.147') + B
 # Atstumas iki tikrosios uzliejimo zonos (A1) (0.001 tikslumu)
 A1 = Dec('67.536') + B
 
+circle_radius = float(D1)/2/sin(pi/7)-float(A1)
+heptagon_area = heptagon(float(D1)).area
+circle_area = sPoint(0,0).buffer(circle_radius).area
+
 # Points is vertice map by id
 Points = {}
 for v in vertices: