move first semester to first semester

I/Karto/assignment5/measure.py

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+#!/usr/bin/env python3
+from math import sqrt
+import numpy as np
+from scipy.spatial.distance import euclidean
+
+# ilgiausios B sklypo krastines kampas: -4.7727°
+# A plotas: 11123.890
+# B plotas: 11123.904
+# egliu: 223
+# obelu: 234
+# Visas plotas: 24575.084
+# Vidinis (A) plotas: 12650.019
+# Vidinis (ne A) plotas: 11925.065
+# 134 trikampiai
+# 67 daugiakampiai
+
+A = -7.756
+B = 4.686
+C = -7.663
+Z = -7.103
+E = 6.405
+F = -6.552
+G = 6.931
+N = -3.986
+M = -5.285
+
+# Atraminiu liniju koordinates ir uzkirciu ilgiai(m) [Koord. LKS94 sistemoje jau sukeistos]:
+# -- Atrama T23-T24-T25 --
+bearings = {
+    23: np.array([564383.829+N, 6173144.853+A]),
+    24: np.array([564444.357+F, 6173086.343+C]),
+    25: np.array([564673.556+B, 6173055.598+M]),
+    26: np.array([564414.733+G, 6173298.332+N]),
+    27: np.array([564564.172+G, 6173312.063+B]),
+    28: np.array([564770.145+N, 6173230.520+N]),
+}
+
+print("""Atraminiu liniju koordinates ir uzkirciu ilgiai(m):""")
+
+for id, bearing in bearings.items():
+    print("T%d: (%.3f,%.3f)" % (id, bearing[0], bearing[1]))
+
+("""
+---------------
+Kontr. atst. T23-T24 =  82.293 ?= %.3f""" % euclidean(bearings[23],bearings[24]) + """
+Kontr. atst. T24-T25 = 242.105 ?= %.3f""" % euclidean(bearings[24],bearings[25]) + """
+Kontr. atst. T26-T27 = 151.109 ?= %.3f""" % euclidean(bearings[26], bearings[27]) + """
+Kontr. atst. T27-T28 = 214.908 ?= %.3f""" % euclidean(bearings[27], bearings[28]) + """
+""")
+
+print("""Objektu koordinates:""")
+objs = {
+    12: np.array([564474.034+M, 6173175.426+F]),
+    13: np.array([564505.240+C, 6173237.929+E]),
+    14: np.array([564519.570+C, 6173255.007+F]),
+    15: np.array([564615.010+A, 6173215.649+Z]),
+    16: np.array([564627.375+E, 6173220.989+Z]),
+    17: np.array([564627.105+N, 6173210.067+Z]),
+    18: np.array([564607.740+C, 6173171.025+Z]),
+    19: np.array([564558.331+B, 6173177.716+Z]),
+    20: np.array([564546.236+M, 6173183.298+Z]),
+    21: np.array([564558.601+N, 6173188.638+C]),
+    22: np.array([564539.728+F, 6173230.148+E]),
+}
+for id, obj in objs.items():
+    print("%d: (%.3f,%.3f)" % (id, obj[0], obj[1]))
+