Point classification using DNN

[swatinair123]

Hii,

I am trying to train the points(using Line eqn and sine eqn) as in the .csv file attached.I am trying to classify using the code as below
Labels=[]
data=pd.read_csv('Line_SineDataNew.csv')

dataArray=data.values
np.random.shuffle(dataArray)
print(dataArray)
data_Label=dataArray[:, [2]]
print(data_Label)
for i in range (0,20000):
#print(dataArray[i])
#print (data_Label[i])
if (data_Label[i]==0):
Labels.append([1,0])
else:
Labels.append([0,1])

x = tf.placeholder(tf.float32, [None,2])
W = tf.Variable(tf.zeros([2, 2]))
b = tf.Variable(tf.zeros([2]))
y = tf.nn.relu(tf.matmul(x, W) + b)
#y = tf.nn.softmax(tf.matmul(x, W) + b)
y_ = tf.placeholder(tf.float32, [None, 2])
#cross_entropy = -tf.reduce_sum(y_ * tf.log(y))
cross_entropy = tf.reduce_mean(-tf.reduce_sum(y_ * tf.log(y), reduction_indices=[1]))
is_correct=tf.equal(tf.arg_max(y,1),tf.arg_max(y_,1))
accuracy=(tf.cast(is_correct,tf.float32))
train_step = tf.train.GradientDescentOptimizer(0.00030).minimize(cross_entropy)

init = tf.initialize_all_variables()

sess = tf.Session()
sess.run(init)

for i in range(20000):
#batch_X=dataArray[:,[0,1]]
#batch_Ylabel=Labels
batch_xs=dataArray[:,[0,1]]
#print(batch_xs)
batch_ys=Labels
#batch_xs=batch_X.next_batch(10)

batch_xs, batch_y

# s = mnist.train.next_batch(100)
sess.run(train_step, feed_dict= {x: batch_xs, y_: batch_ys})
a, iscorrect =sess.run([accuracy,is_correct],feed_dict= {x: batch_xs, y_: batch_ys})

b=np.mean(a)
print("accuracy=", b)

print("done with training")

But the accuracy is not increasing. I get only 50%.Can you advise me what could be issue
The below is the data

X	Y	label
6	8	0
6	-0.27942	1
23	16.5	0
23	-0.84622	1
17	13.5	0
17	-0.9614	1
78	44	0
78	0.513978	1
22	16	0
22	-0.00885	1
5	7.5	0
5	-0.95892	1
44	27	0
44	0.017702	1
52	31	0
52	0.986628	1
61	35.5	0
61	-0.96612	1
99	54.5	0
99	-0.99921	1
45	27.5	0
45	0.850904	1
79	44.5	0
79	-0.44411	1
51	30.5	0
51	0.670229	1
73	41.5	0
73	-0.67677	1
31	20.5	0
31	-0.40404	1
63	36.5	0
63	0.167356	1
33	21.5	0
33	0.999912	1
55	32.5	0
55	-0.99976	1
64	37	0
64	0.920026	1
2	6	0
2	0.909297	1
86	48	0
86	-0.92346	1
19	14.5	0
19	0.149877	1
47	28.5	0
47	0.123573	1
14	12	0
14	0.990607	1
29	19.5	0
29	-0.66363	1
74	42	0
74	-0.98515	1
7	8.5	0
7	0.656987	1
12	11	0
12	-0.53657	1
84	47	0
84	0.73319	1
92	51	0
92	-0.77947	1
8	9	0
8	0.989358	1
85	47.5	0
85	-0.17608	1
29	19.5	0
29	-0.66363	1
7	8.5	0
7	0.656987	1
16	13	0
16	-0.2879	1
62	36	0
62	-0.73918	1
97	53.5	0
97	0.379608	1
81	45.5	0
81	-0.62989	1
26	18	0
26	0.762558	1
8	9	0
8	0.989358	1
84	47	0
84	0.73319	1
54	32	0
54	-0.55879	1
62	36	0
62	-0.73918	1
67	38.5	0
67	-0.85552	1
42	26	0
42	-0.91652	1
87	48.5	0
87	-0.82182	1
21	15.5	0
21	0.836656	1
1	5.5	0
1	0.841471	1
68	39	0
68	-0.89793	1
13	11.5	0
13	0.420167	1
63	36.5	0
63	0.167356	1
80	45	0
80	-0.99389	1
70	40	0
70	0.773891	1
93	51.5	0
93	-0.94828	1
68	39	0
68	-0.89793	1
67	38.5	0
67	-0.85552	1
95	52.5	0
95	0.683262	1
63	36.5	0
63	0.167356	1
39	24.5	0
39	0.963795	1
14	12	0
14	0.990607	1
18	14	0
18	-0.75099	1
2	6	0
2	0.909297	1
11	10.5	0
11	-0.99999	1
60	35	0
60	-0.30481	1
95	52.5	0
95	0.683262	1
95	52.5	0
95	0.683262	1
21	15.5	0
21	0.836656	1
10	10	0
10	-0.54402	1
54	32	0
54	-0.55879	1
99	54.5	0
99	-0.99921	1
86	48	0
86	-0.92346	1
76	43	0
76	0.566108	1
80	45	0
80	-0.99389	1
19	14.5	0
19	0.149877	1
35	22.5	0
35	-0.42818	1
21	15.5	0
21	0.836656	1
25	17.5	0
25	-0.13235	1
6	8	0
6	-0.27942	1
95	52.5	0
95	0.683262	1
60	35	0
60	-0.30481	1
72	41	0
72	0.253823	1
84	47	0
84	0.73319	1
8	9	0
8	0.989358	1
71	40.5	0
71	0.951055	1
3	6.5	0
3	0.14112	1
84	47	0
84	0.73319	1
62	36	0
62	-0.73918	1
68	39	0
68	-0.89793	1
62	36	0
62	-0.73918	1
28	19	0
28	0.270906	1
3	6.5	0
3	0.14112	1
69	39.5	0
69	-0.11478	1
53	31.5	0
53	0.395925	1
97	53.5	0
97	0.379608	1
16	13	0
16	-0.2879	1
31	20.5	0
31	-0.40404	1
41	25.5	0
41	-0.15862	1
33	21.5	0
33	0.999912	1
40	25	0
40	0.745113	1
11	10.5	0
11	-0.99999	1
58	34	0
58	0.992873	1
95	52.5	0
95	0.683262	1
11	10.5	0
11	-0.99999	1
36	23	0
36	-0.99178	1
46	28	0
46	0.901788	1
100	55	0
100	-0.50637	1
53	31.5	0
53	0.395925	1
96	53	0
96	0.983588	1
21	15.5	0
21	0.836656	1
2	6	0
2	0.909297	1
65	37.5	0
65	0.826829	1
7	8.5	0
7	0.656987	1
72	41	0
72	0.253823	1
54	32	0
54	-0.55879	1
46	28	0
46	0.901788	1
44	27	0
44	0.017702	1
19	14.5	0
19	0.149877	1
40	25	0
40	0.745113	1
74	42	0
74	-0.98515	1
39	24.5	0
39	0.963795	1
68	39	0
68	-0.89793	1
21	15.5	0
21	0.836656	1
72	41	0
72	0.253823	1
78	44	0
78	0.513978	1
74	42	0
74	-0.98515	1
87	48.5	0
87	-0.82182	1
95	52.5	0
95	0.683262	1
35	22.5	0
35	-0.42818	1
72	41	0
72	0.253823	1
82	46	0
82	0.313229	1
86	48	0
86	-0.92346	1
57	33.5	0
57	0.436165	1
82	46	0
82	0.313229	1
85	47.5	0
85	-0.17608	1
28	19	0
28	0.270906	1
71	40.5	0
71	0.951055	1
91	50.5	0
91	0.105988	1
24	17	0
24	-0.90558	1
99	54.5	0
99	-0.99921	1
73	41.5	0
73	-0.67677	1
83	46.5	0
83	0.968364	1
44	27	0
44	0.017702	1
3	6.5	0
3	0.14112	1
56	33	0
56	-0.52155	1
96	53	0
96	0.983588	1
55	32.5	0
55	-0.99976	1
98	54	0
98	-0.57338	1
94	52	0
94	-0.24525	1
71	40.5	0
71	0.951055	1
24	17	0
24	-0.90558	1
98	54	0
98	-0.57338	1
48	29	0
48	-0.76825	1
49	29.5	0
49	-0.95375	1
100	55	0
100	-0.50637	1
70	40	0
70	0.773891	1
92	51	0
92	-0.77947	1
83	46.5	0
83	0.968364	1
20	15	0
20	0.912945	1
30	20	0
30	-0.98803	1
90	50	0
90	0.893997	1
70	40	0
70	0.773891	1
16	13	0
16	-0.2879	1
93	51.5	0
93	-0.94828	1
24	17	0
24	-0.90558	1
33	21.5	0
33	0.999912	1
84	47	0
84	0.73319	1
36	23	0
36	-0.99178	1
2	6	0
2	0.909297	1
94	52	0
94	-0.24525	1
92	51	0
92	-0.77947	1
39	24.5	0
39	0.963795	1
2	6	0
2	0.909297	1
4	7	0
4	-0.7568	1
3	6.5	0
3	0.14112	1
18	14	0
18	-0.75099	1
46	28	0
46	0.901788	1
87	48.5	0
87	-0.82182	1
63	36.5	0
63	0.167356	1
63	36.5	0
63	0.167356	1
91	50.5	0
91	0.105988	1
26	18	0
26	0.762558	1
12	11	0
12	-0.53657	1
71	40.5	0
71	0.951055	1
27	18.5	0
27	0.956376	1
32	21	0
32	0.551427	1
6	8	0
6	-0.27942	1
20	15	0
20	0.912945	1
54	32	0
54	-0.55879	1
94	52	0
94	-0.24525	1
22	16	0
22	-0.00885	1
89	49.5	0
89	0.860069	1
57	33.5	0
57	0.436165	1
75	42.5	0
75	-0.38778	1
77	43.5	0
77	0.99952	1
59	34.5	0
59	0.636738	1
61	35.5	0
61	-0.96612	1
33	21.5	0
33	0.999912	1
54	32	0
54	-0.55879	1
58	34	0
58	0.992873	1
10	10	0
10	-0.54402	1
49	29.5	0
49	-0.95375	1
66	38	0
66	-0.02655	1
73	41.5	0
73	-0.67677	1
65	37.5	0
65	0.826829	1
14	12	0
14	0.990607	1
97	53.5	0
97	0.379608	1
60	35	0
60	-0.30481	1
77	43.5	0
77	0.99952	1
40	25	0
40	0.745113	1
58	34	0
58	0.992873	1
62	36	0
62	-0.73918	1
7	8.5	0
7	0.656987	1
38	24	0
38	0.296369	1
16	13	0
16	-0.2879	1
12	11	0
12	-0.53657	1
15	12.5	0
15	0.650288	1
14	12	0
14	0.990607	1
17	13.5	0
17	-0.9614	1
76	43	0
76	0.566108	1
99	54.5	0
99	-0.99921	1
26	18	0
26	0.762558	1
95	52.5	0
95	0.683262	1
51	30.5	0
51	0.670229	1
84	47	0
84	0.73319	1
38	24	0
38	0.296369	1
29	19.5	0
29	-0.66363	1
35	22.5	0
35	-0.42818	1
82	46	0
82	0.313229	1
60	35	0
60	-0.30481	1
68	39	0
68	-0.89793	1
33	21.5	0
33	0.999912	1
17	13.5	0
17	-0.9614	1
37	23.5	0
37	-0.64354	1
44	27	0
44	0.017702	1
26	18	0
26	0.762558	1
53	31.5	0
53	0.395925	1
15	12.5	0
15	0.650288	1
49	29.5	0
49	-0.95375	1
93	51.5	0
93	-0.94828	1
55	32.5	0
55	-0.99976	1
90	50	0
90	0.893997	1
82	46	0
82	0.313229	1
25	17.5	0
25	-0.13235	1
18	14	0
18	-0.75099	1
68	39	0
68	-0.89793	1
8	9	0
8	0.989358	1
32	21	0
32	0.551427	1
32	21	0
32	0.551427	1
96	53	0
96	0.983588	1
34	22	0
34	0.529083	1
82	46	0
82	0.313229	1
69	39.5	0
69	-0.11478	1
3	6.5	0
3	0.14112	1
14	12	0
14	0.990607	1
45	27.5	0
45	0.850904	1
90	50	0
90	0.893997	1
40	25	0
40	0.745113	1
50	30	0
50	-0.26237	1
43	26.5	0
43	-0.83177	1
14	12	0
14	0.990607	1
41	25.5	0
41	-0.15862	1
19	14.5	0
19	0.149877	1
83	46.5	0
83	0.968364	1
61	35.5	0
61	-0.96612	1
4	7	0
4	-0.7568	1
89	49.5	0
89	0.860069	1
14	12	0
14	0.990607	1
88	49	0
88	0.035398	1
39	24.5	0
39	0.963795	1
6	8	0
6	-0.27942	1
61	35.5	0
61	-0.96612	1
59	34.5	0
59	0.636738	1
40	25	0
40	0.745113	1
0	5	0
0	0	1
9	9.5	0
9	0.412118	1
100	55	0
100	-0.50637	1
72	41	0
72	0.253823	1
2	6	0
2	0.909297	1
96	53	0
96	0.983588	1
39	24.5	0
39	0.963795	1
88	49	0
88	0.035398	1
62	36	0
62	-0.73918	1
97	53.5	0
97	0.379608	1
17	13.5	0
17	-0.9614	1
71	40.5	0
71	0.951055	1
68	39	0
68	-0.89793	1
6	8	0
6	-0.27942	1
86	48	0
86	-0.92346	1
89	49.5	0
89	0.860069	1
51	30.5	0
51	0.670229	1
42	26	0
42	-0.91652	1
42	26	0
42	-0.91652	1
49	29.5	0
49	-0.95375	1
45	27.5	0
45	0.850904	1
42	26	0
42	-0.91652	1
100	55	0
100	-0.50637	1
86	48	0
86	-0.92346	1
7	8.5	0
7	0.656987	1
42	26	0
42	-0.91652	1
82	46	0
82	0.313229	1
4	7	0
4	-0.7568	1
53	31.5	0
53	0.395925	1
94	52	0
94	-0.24525	1
63	36.5	0
63	0.167356	1
15	12.5	0
15	0.650288	1
8	9	0
8	0.989358	1
25	17.5	0
25	-0.13235	1
10	10	0
10	-0.54402	1
42	26	0
42	-0.91652	1
54	32	0
54	-0.55879	1
69	39.5	0
69	-0.11478	1
60	35	0
60	-0.30481	1
75	42.5	0
75	-0.38778	1
79	44.5	0
79	-0.44411	1
69	39.5	0
69	-0.11478	1
99	54.5	0
99	-0.99921	1
74	42	0
74	-0.98515	1
47	28.5	0
47	0.123573	1
67	38.5	0
67	-0.85552	1
24	17	0
24	-0.90558	1
57	33.5	0
57	0.436165	1
11	10.5	0
11	-0.99999	1
0	5	0
0	0	1
24	17	0
24	-0.90558	1
55	32.5	0
55	-0.99976	1
0	5	0
0	0	1
69	39.5	0
69	-0.11478	1
39	24.5	0
39	0.963795	1
97	53.5	0
97	0.379608	1
37	23.5	0
37	-0.64354	1
39	24.5	0
39	0.963795	1
4	7	0
4	-0.7568	1
67	38.5	0
67	-0.85552	1
86	48	0
86	-0.92346	1
40	25	0
40	0.745113	1
57	33.5	0
57	0.436165	1
32	21	0
32	0.551427	1
45	27.5	0
45	0.850904	1
70	40	0
70	0.773891	1
3	6.5	0
3	0.14112	1
94	52	0
94	-0.24525	1
5	7.5	0
5	-0.95892	1
83	46.5	0
83	0.968364	1
71	40.5	0
71	0.951055	1
48	29	0
48	-0.76825	1
80	45	0
80	-0.99389	1
17	13.5	0
17	-0.9614	1
3	6.5	0
3	0.14112	1
95	52.5	0
95	0.683262	1
60	35	0
60	-0.30481	1
87	48.5	0
87	-0.82182	1
77	43.5	0
77	0.99952	1
31	20.5	0
31	-0.40404	1
65	37.5	0
65	0.826829	1
61	35.5	0
61	-0.96612	1
82	46	0
82	0.313229	1
42	26	0
42	-0.91652	1
19	14.5	0
19	0.149877	1
21	15.5	0
21	0.836656	1
0	5	0
0	0	1
40	25	0
40	0.745113	1
11	10.5	0
11	-0.99999	1
0	5	0
0	0	1
42	26	0
42	-0.91652	1
37	23.5	0
37	-0.64354	1
9	9.5	0
9	0.412118	1
34	22	0
34	0.529083	1
53	31.5	0
53	0.395925	1
87	48.5	0
87	-0.82182	1
41	25.5	0
41	-0.15862	1
68	39	0
68	-0.89793	1
87	48.5	0
87	-0.82182	1
4	7	0
4	-0.7568	1
89	49.5	0
89	0.860069	1
36	23	0
36	-0.99178	1
9	9.5	0
9	0.412118	1
30	20	0
30	-0.98803	1
98	54	0
98	-0.57338	1
74	42	0
74	-0.98515	1
86	48	0
86	-0.92346	1
44	27	0
44	0.017702	1
45	27.5	0
45	0.850904	1
47	28.5	0
47	0.123573	1
63	36.5	0
63	0.167356	1
41	25.5	0
41	-0.15862	1
55	32.5	0
55	-0.99976	1
53	31.5	0
53	0.395925	1
100	55	0
100	-0.50637	1
76	43	0
76	0.566108	1
64	37	0
64	0.920026	1
81	45.5	0
81	-0.62989	1
96	53	0
96	0.983588	1
98	54	0
98	-0.57338	1
83	46.5	0
83	0.968364	1
55	32.5	0
55	-0.99976	1
89	49.5	0
89	0.860069	1
89	49.5	0
89	0.860069	1
28	19	0
28	0.270906	1
52	31	0
52	0.986628	1
3	6.5	0
3	0.14112	1
17	13.5	0
17	-0.9614	1
69	39.5	0
69	-0.11478	1
72	41	0
72	0.253823	1
91	50.5	0
91	0.105988	1
14	12	0
14	0.990607	1
90	50	0
90	0.893997	1
50	30	0
50	-0.26237	1
78	44	0
78	0.513978	1
73	41.5	0
73	-0.67677	1
38	24	0
38	0.296369	1
13	11.5	0
13	0.420167	1
33	21.5	0
33	0.999912	1
3	6.5	0
3	0.14112	1
20	15	0
20	0.912945	1
15	12.5	0
15	0.650288	1
13	11.5	0
13	0.420167	1
40	25	0
40	0.745113	1
70	40	0
70	0.773891	1
33	21.5	0
33	0.999912	1
5	7.5	0
5	-0.95892	1
83	46.5	0
83	0.968364	1
65	37.5	0
65	0.826829	1
18	14	0
18	-0.75099	1
36	23	0
36	-0.99178	1
81	45.5	0
81	-0.62989	1
75	42.5	0
75	-0.38778	1
52	31	0
52	0.986628	1
8	9	0
8	0.989358	1
91	50.5	0
91	0.105988	1
31	20.5	0
31	-0.40404	1
40	25	0
40	0.745113	1
27	18.5	0
27	0.956376	1
98	54	0
98	-0.57338	1
14	12	0
14	0.990607	1
70	40	0
70	0.773891	1
39	24.5	0
39	0.963795	1
56	33	0
56	-0.52155	1
67	38.5	0
67	-0.85552	1
52	31	0
52	0.986628	1
84	47	0
84	0.73319	1
12	11	0
12	-0.53657	1
45	27.5	0
45	0.850904	1
17	13.5	0
17	-0.9614	1
32	21	0
32	0.551427	1
59	34.5	0
59	0.636738	1
3	6.5	0
3	0.14112	1
42	26	0
42	-0.91652	1
38	24	0
38	0.296369	1
91	50.5	0
91	0.105988	1
74	42	0
74	-0.98515	1
90	50	0
90	0.893997	1
69	39.5	0
69	-0.11478	1
78	44	0
78	0.513978	1
75	42.5	0
75	-0.38778	1
38	24	0
38	0.296369	1
8	9	0
8	0.989358	1
43	26.5	0
43	-0.83177	1
23	16.5	0
23	-0.84622	1
9	9.5	0
9	0.412118	1
94	52	0
94	-0.24525	1
87	48.5	0
87	-0.82182	1
81	45.5	0
81	-0.62989	1
76	43	0
76	0.566108	1
0	5	0
0	0	1
20	15	0
20	0.912945	1
47	28.5	0
47	0.123573	1
31	20.5	0
31	-0.40404	1
19	14.5	0
19	0.149877	1
91	50.5	0
91	0.105988	1
18	14	0
18	-0.75099	1
28	19	0
28	0.270906	1
83	46.5	0
83	0.968364	1
39	24.5	0
39	0.963795	1
60	35	0
60	-0.30481	1
2	6	0
2	0.909297	1
33	21.5	0
33	0.999912	1
57	33.5	0
57	0.436165	1
16	13	0
16	-0.2879	1
48	29	0
48	-0.76825	1
73	41.5	0
73	-0.67677	1
61	35.5	0
61	-0.96612	1
31	20.5	0
31	-0.40404	1
18	14	0
18	-0.75099	1
27	18.5	0
27	0.956376	1
62	36	0
62	-0.73918	1
96	53	0
96	0.983588	1
74	42	0
74	-0.98515	1
24	17	0
24	-0.90558	1
96	53	0
96	0.983588	1
40	25	0
40	0.745113	1
64	37	0
64	0.920026	1
71	40.5	0
71	0.951055	1
90	50	0
90	0.893997	1
16	13	0
16	-0.2879	1
78	44	0
78	0.513978	1
35	22.5	0
35	-0.42818	1
98	54	0
98	-0.57338	1
10	10	0
10	-0.54402	1
30	20	0
30	-0.98803	1
73	41.5	0
73	-0.67677	1
30	20	0
30	-0.98803	1
16	13	0
16	-0.2879	1
84	47	0
84	0.73319	1
33	21.5	0
33	0.999912	1
96	53	0
96	0.983588	1
41	25.5	0
41	-0.15862	1
86	48	0
86	-0.92346	1
47	28.5	0
47	0.123573	1
26	18	0
26	0.762558	1
58	34	0
58	0.992873	1
69	39.5	0
69	-0.11478	1
53	31.5	0
53	0.395925	1
10	10	0
10	-0.54402	1
80	45	0
80	-0.99389	1
23	16.5	0
23	-0.84622	1
40	25	0
40	0.745113	1
81	45.5	0
81	-0.62989	1
38	24	0
38	0.296369	1
88	49	0
88	0.035398	1
48	29	0
48	-0.76825	1
48	29	0
48	-0.76825	1
80	45	0
80	-0.99389	1
15	12.5	0
15	0.650288	1
50	30	0
50	-0.26237	1
59	34.5	0
59	0.636738	1
45	27.5	0
45	0.850904	1
91	50.5	0
91	0.105988	1
8	9	0
8	0.989358	1
36	23	0
36	-0.99178	1
4	7	0
4	-0.7568	1
51	30.5	0
51	0.670229	1
96	53	0
96	0.983588	1
75	42.5	0
75	-0.38778	1
44	27	0
44	0.017702	1
58	34	0
58	0.992873	1
69	39.5	0
69	-0.11478	1
71	40.5	0
71	0.951055	1
77	43.5	0
77	0.99952	1
74	42	0
74	-0.98515	1
96	53	0
96	0.983588	1
17	13.5	0
17	-0.9614	1
77	43.5	0
77	0.99952	1
40	25	0
40	0.745113	1
58	34	0
58	0.992873	1
88	49	0
88	0.035398	1
16	13	0
16	-0.2879	1
99	54.5	0
99	-0.99921	1
23	16.5	0
23	-0.84622	1
87	48.5	0
87	-0.82182	1
90	50	0
90	0.893997	1
40	25	0
40	0.745113	1
84	47	0
84	0.73319	1
65	37.5	0
65	0.826829	1
99	54.5	0
99	-0.99921	1
7	8.5	0
7	0.656987	1
82	46	0
82	0.313229	1
12	11	0
12	-0.53657	1
13	11.5	0
13	0.420167	1
81	45.5	0
81	-0.62989	1
43	26.5	0
43	-0.83177	1
9	9.5	0
9	0.412118	1
41	25.5	0
41	-0.15862	1
81	45.5	0
81	-0.62989	1
43	26.5	0
43	-0.83177	1
8	9	0
8	0.989358	1
18	14	0
18	-0.75099	1
34	22	0
34	0.529083	1
30	20	0
30	-0.98803	1
90	50	0
90	0.893997	1
20	15	0
20	0.912945	1
2	6	0
2	0.909297	1
42	26	0
42	-0.91652	1
97	53.5	0
97	0.379608	1
40	25	0
40	0.745113	1
76	43	0
76	0.566108	1
13	11.5	0
13	0.420167	1
5	7.5	0
5	-0.95892	1
91	50.5	0
91	0.105988	1
86	48	0
86	-0.92346	1
76	43	0
76	0.566108	1
6	8	0
6	-0.27942	1
47	28.5	0
47	0.123573	1
17	13.5	0
17	-0.9614	1
56	33	0
56	-0.52155	1
59	34.5	0
59	0.636738	1
91	50.5	0
91	0.105988	1
33	21.5	0
33	0.999912	1
25	17.5	0
25	-0.13235	1
12	11	0
12	-0.53657	1
8	9	0
8	0.989358	1
37	23.5	0
37	-0.64354	1
34	22	0
34	0.529083	1
11	10.5	0
11	-0.99999	1
56	33	0
56	-0.52155	1
71	40.5	0
71	0.951055	1
31	20.5	0
31	-0.40404	1
3	6.5	0
3	0.14112	1
91	50.5	0
91	0.105988	1
13	11.5	0
13	0.420167	1
25	17.5	0
25	-0.13235	1
19	14.5	0
19	0.149877	1
12	11	0
12	-0.53657	1
56	33	0
56	-0.52155	1
28	19	0
28	0.270906	1
53	31.5	0
53	0.395925	1
65	37.5	0
65	0.826829	1
98	54	0
98	-0.57338	1
9	9.5	0
9	0.412118	1
53	31.5	0
53	0.395925	1
47	28.5	0
47	0.123573	1
82	46	0
82	0.313229	1
34	22	0
34	0.529083	1
76	43	0
76	0.566108	1
24	17	0
24	-0.90558	1
77	43.5	0
77	0.99952	1
82	46	0
82	0.313229	1
45	27.5	0
45	0.850904	1
12	11	0
12	-0.53657	1
78	44	0
78	0.513978	1
59	34.5	0
59	0.636738	1
61	35.5	0
61	-0.96612	1
31	20.5	0
31	-0.40404	1
41	25.5	0
41	-0.15862	1
23	16.5	0
23	-0.84622	1
94	52	0
94	-0.24525	1
73	41.5	0
73	-0.67677	1
71	40.5	0
71	0.951055	1
2	6	0
2	0.909297	1
50	30	0
50	-0.26237	1
43	26.5	0
43	-0.83177	1
48	29	0
48	-0.76825	1
66	38	0
66	-0.02655	1
76	43	0
76	0.566108	1
90	50	0
90	0.893997	1
47	28.5	0
47	0.123573	1
1	5.5	0
1	0.841471	1
17	13.5	0
17	-0.9614	1
87	48.5	0
87	-0.82182	1
74	42	0
74	-0.98515	1
28	19	0
28	0.270906	1
32	21	0
32	0.551427	1
47	28.5	0
47	0.123573	1
77	43.5	0
77	0.99952	1
91	50.5	0
91	0.105988	1
79	44.5	0
79	-0.44411	1
98	54	0
98	-0.57338	1
23	16.5	0
23	-0.84622	1
55	32.5	0
55	-0.99976	1
97	53.5	0
97	0.379608	1
21	15.5	0
21	0.836656	1
89	49.5	0
89	0.860069	1
57	33.5	0
57	0.436165	1
36	23	0
36	-0.99178	1
23	16.5	0
23	-0.84622	1
19	14.5	0
19	0.149877	1
15	12.5	0
15	0.650288	1
79	44.5	0
79	-0.44411	1
92	51	0
92	-0.77947	1
2	6	0
2	0.909297	1
93	51.5	0
93	-0.94828	1
53	31.5	0
53	0.395925	1
18	14	0
18	-0.75099	1
12	11	0
12	-0.53657	1
42	26	0
42	-0.91652	1
4	7	0
4	-0.7568	1
42	26	0
42	-0.91652	1
66	38	0
66	-0.02655	1
88	49	0
88	0.035398	1
35	22.5	0
35	-0.42818	1
93	51.5	0
93	-0.94828	1
10	10	0
10	-0.54402	1
15	12.5	0
15	0.650288	1
61	35.5	0
61	-0.96612	1
21	15.5	0
21	0.836656	1
40	25	0
40	0.745113	1
45	27.5	0
45	0.850904	1
45	27.5	0
45	0.850904	1
92	51	0
92	-0.77947	1
1	5.5	0
1	0.841471	1
54	32	0
54	-0.55879	1
12	11	0
12	-0.53657	1
61	35.5	0
61	-0.96612	1
58	34	0
58	0.992873	1
7	8.5	0
7	0.656987	1
67	38.5	0
67	-0.85552	1
32	21	0
32	0.551427	1
27	18.5	0
27	0.956376	1
8	9	0
8	0.989358	1
81	45.5	0
81	-0.62989	1
7	8.5	0
7	0.656987	1
65	37.5	0
65	0.826829	1
74	42	0
74	-0.98515	1
84	47	0
84	0.73319	1
49	29.5	0
49	-0.95375	1
58	34	0
58	0.992873	1
45	27.5	0
45	0.850904	1
62	36	0
62	-0.73918	1
99	54.5	0
99	-0.99921	1
25	17.5	0
25	-0.13235	1
98	54	0
98	-0.57338	1
54	32	0
54	-0.55879	1
36	23	0
36	-0.99178	1
86	48	0
86	-0.92346	1
67	38.5	0
67	-0.85552	1
2	6	0
2	0.909297	1
85	47.5	0
85	-0.17608	1
65	37.5	0
65	0.826829	1
2	6	0
2	0.909297	1
38	24	0
38	0.296369	1
69	39.5	0
69	-0.11478	1
61	35.5	0
61	-0.96612	1
41	25.5	0
41	-0.15862	1
92	51	0
92	-0.77947	1
96	53	0
96	0.983588	1
46	28	0
46	0.901788	1
50	30	0
50	-0.26237	1
99	54.5	0
99	-0.99921	1
77	43.5	0
77	0.99952	1
19	14.5	0
19	0.149877	1
15	12.5	0
15	0.650288	1
54	32	0
54	-0.55879	1
9	9.5	0
9	0.412118	1
62	36	0
62	-0.73918	1
51	30.5	0
51	0.670229	1
80	45	0
80	-0.99389	1
34	22	0
34	0.529083	1
17	13.5	0
17	-0.9614	1
37	23.5	0
37	-0.64354	1
6	8	0
6	-0.27942	1
55	32.5	0
55	-0.99976	1
30	20	0
30	-0.98803	1
89	49.5	0
89	0.860069	1
97	53.5	0
97	0.379608	1
23	16.5	0
23	-0.84622	1
79	44.5	0
79	-0.44411	1
18	14	0
18	-0.75099	1
30	20	0
30	-0.98803	1
66	38	0
66	-0.02655	1
82	46	0
82	0.313229	1
93	51.5	0
93	-0.94828	1
90	50	0
90	0.893997	1
56	33	0
56	-0.52155	1
22	16	0
22	-0.00885	1
50	30	0
50	-0.26237	1
13	11.5	0
13	0.420167	1
9	9.5	0
9	0.412118	1
83	46.5	0
83	0.968364	1
62	36	0
62	-0.73918	1
51	30.5	0
51	0.670229	1
96	53	0
96	0.983588	1
67	38.5	0
67	-0.85552	1
8	9	0
8	0.989358	1
61	35.5	0
61	-0.96612	1
89	49.5	0
89	0.860069	1
69	39.5	0
69	-0.11478	1
68	39	0
68	-0.89793	1
51	30.5	0
51	0.670229	1
47	28.5	0
47	0.123573	1
96	53	0
96	0.983588	1
72	41	0
72	0.253823	1
70	40	0
70	0.773891	1
11	10.5	0
11	-0.99999	1
60	35	0
60	-0.30481	1
21	15.5	0
21	0.836656	1
87	48.5	0
87	-0.82182	1
64	37	0
64	0.920026	1
58	34	0
58	0.992873	1
96	53	0
96	0.983588	1
16	13	0
16	-0.2879	1
6	8	0
6	-0.27942	1
82	46	0
82	0.313229	1
38	24	0
38	0.296369	1
43	26.5	0
43	-0.83177	1
39	24.5	0
39	0.963795	1
92	51	0
92	-0.77947	1
89	49.5	0
89	0.860069	1
54	32	0
54	-0.55879	1
1	5.5	0
1	0.841471	1
35	22.5	0
35	-0.42818	1
8	9	0
8	0.989358	1
8	9	0
8	0.989358	1
87	48.5	0
87	-0.82182	1
75	42.5	0
75	-0.38778	1
68	39	0
68	-0.89793	1
46	28	0
46	0.901788	1
30	20	0
30	-0.98803	1
89	49.5	0
89	0.860069	1
79	44.5	0
79	-0.44411	1
38	24	0
38	0.296369	1
100	55	0
100	-0.50637	1
46	28	0
46	0.901788	1
9	9.5	0
9	0.412118	1
99	54.5	0
99	-0.99921	1
37	23.5	0
37	-0.64354	1
12	11	0
12	-0.53657	1
59	34.5	0
59	0.636738	1
96	53	0
96	0.983588	1
20	15	0
20	0.912945	1
75	42.5	0
75	-0.38778	1
55	32.5	0
55	-0.99976	1
18	14	0
18	-0.75099	1
75	42.5	0
75	-0.38778	1
58	34	0
58	0.992873	1
90	50	0
90	0.893997	1
90	50	0
90	0.893997	1
3	6.5	0
3	0.14112	1
40	25	0
40	0.745113	1
15	12.5	0
15	0.650288	1
77	43.5	0
77	0.99952	1
22	16	0
22	-0.00885	1
12	11	0
12	-0.53657	1
47	28.5	0
47	0.123573	1
78	44	0
78	0.513978	1
9	9.5	0
9	0.412118	1
92	51	0
92	-0.77947	1
84	47	0
84	0.73319	1
50	30	0
50	-0.26237	1
15	12.5	0
15	0.650288	1
66	38	0
66	-0.02655	1
29	19.5	0
29	-0.66363	1
69	39.5	0
69	-0.11478	1
88	49	0
88	0.035398	1
33	21.5	0
33	0.999912	1
94	52	0
94	-0.24525	1
78	44	0
78	0.513978	1
15	12.5	0
15	0.650288	1
62	36	0
62	-0.73918	1
58	34	0
58	0.992873	1
45	27.5	0
45	0.850904	1
80	45	0
80	-0.99389	1
92	51	0
92	-0.77947	1
8	9	0
8	0.989358	1
79	44.5	0
79	-0.44411	1
81	45.5	0
81	-0.62989	1
76	43	0
76	0.566108	1
53	31.5	0
53	0.395925	1
81	45.5	0
81	-0.62989	1
71	40.5	0
71	0.951055	1
34	22	0
34	0.529083	1
79	44.5	0
79	-0.44411	1
64	37	0
64	0.920026	1
7	8.5	0
7	0.656987	1
66	38	0
66	-0.02655	1
3	6.5	0
3	0.14112	1
38	24	0
38	0.296369	1
28	19	0
28	0.270906	1
74	42	0
74	-0.98515	1
32	21	0
32	0.551427	1
13	11.5	0
13	0.420167	1
0	5	0
0	0	1
10	10	0
10	-0.54402	1
29	19.5	0
29	-0.66363	1
47	28.5	0
47	0.123573	1
47	28.5	0
47	0.123573	1
40	25	0
40	0.745113	1
3	6.5	0
3	0.14112	1
69	39.5	0
69	-0.11478	1
77	43.5	0
77	0.99952	1
54	32	0
54	-0.55879	1
37	23.5	0
37	-0.64354	1
92	51	0
92	-0.77947	1
17	13.5	0
17	-0.9614	1
67	38.5	0
67	-0.85552	1
67	38.5	0
67	-0.85552	1
68	39	0
68	-0.89793	1
98	54	0
98	-0.57338	1
6	8	0
6	-0.27942	1
91	50.5	0
91	0.105988	1
31	20.5	0
31	-0.40404	1
11	10.5	0
11	-0.99999	1
93	51.5	0
93	-0.94828	1
37	23.5	0
37	-0.64354	1
21	15.5	0
21	0.836656	1
14	12	0
14	0.990607	1
25	17.5	0
25	-0.13235	1
31	20.5	0
31	-0.40404	1
71	40.5	0
71	0.951055	1
79	44.5	0
79	-0.44411	1
90	50	0
90	0.893997	1
92	51	0
92	-0.77947	1
27	18.5	0
27	0.956376	1
86	48	0
86	-0.92346	1
97	53.5	0
97	0.379608	1
40	25	0
40	0.745113	1
74	42	0
74	-0.98515	1
25	17.5	0
25	-0.13235	1
44	27	0
44	0.017702	1
55	32.5	0
55	-0.99976	1
66	38	0
66	-0.02655	1
33	21.5	0
33	0.999912	1
71	40.5	0
71	0.951055	1
22	16	0
22	-0.00885	1
39	24.5	0
39	0.963795	1
67	38.5	0
67	-0.85552	1
22	16	0
22	-0.00885	1
77	43.5	0
77	0.99952	1
19	14.5	0
19	0.149877	1
54	32	0
54	-0.55879	1
43	26.5	0
43	-0.83177	1
46	28	0
46	0.901788	1
60	35	0
60	-0.30481	1
77	43.5	0
77	0.99952	1
21	15.5	0
21	0.836656	1
2	6	0
2	0.909297	1
85	47.5	0
85	-0.17608	1
72	41	0
72	0.253823	1
72	41	0
72	0.253823	1
99	54.5	0
99	-0.99921	1
12	11	0
12	-0.53657	1
37	23.5	0
37	-0.64354	1
19	14.5	0
19	0.149877	1
20	15	0
20	0.912945	1
19	14.5	0
19	0.149877	1
71	40.5	0
71	0.951055	1
53	31.5	0
53	0.395925	1
17	13.5	0
17	-0.9614	1
26	18	0
26	0.762558	1
91	50.5	0
91	0.105988	1
43	26.5	0
43	-0.83177	1
9	9.5	0
9	0.412118	1
25	17.5	0
25	-0.13235	1
52	31	0
52	0.986628	1
88	49	0
88	0.035398	1
19	14.5	0
19	0.149877	1
11	10.5	0
11	-0.99999	1
48	29	0
48	-0.76825	1
59	34.5	0
59	0.636738	1
5	7.5	0
5	-0.95892	1
97	53.5	0
97	0.379608	1
14	12	0
14	0.990607	1
54	32	0
54	-0.55879	1
71	40.5	0
71	0.951055	1
43	26.5	0
43	-0.83177	1
55	32.5	0
55	-0.99976	1
49	29.5	0
49	-0.95375	1
19	14.5	0
19	0.149877	1
14	12	0
14	0.990607	1
51	30.5	0
51	0.670229	1
96	53	0
96	0.983588	1
100	55	0
100	-0.50637	1
86	48	0
86	-0.92346	1
55	32.5	0
55	-0.99976	1
15	12.5	0
15	0.650288	1
65	37.5	0
65	0.826829	1
57	33.5	0
57	0.436165	1
24	17	0
24	-0.90558	1
25	17.5	0
25	-0.13235	1
64	37	0
64	0.920026	1
57	33.5	0
57	0.436165	1
12	11	0
12	-0.53657	1
8	9	0
8	0.989358	1
75	42.5	0
75	-0.38778	1
10	10	0
10	-0.54402	1
40	25	0
40	0.745113	1
80	45	0
80	-0.99389	1
53	31.5	0
53	0.395925	1
63	36.5	0
63	0.167356	1
53	31.5	0
53	0.395925	1
29	19.5	0
29	-0.66363	1
88	49	0
88	0.035398	1
90	50	0
90	0.893997	1
48	29	0
48	-0.76825	1
36	23	0
36	-0.99178	1
79	44.5	0
79	-0.44411	1
36	23	0
36	-0.99178	1
0	5	0
0	0	1
6	8	0
6	-0.27942	1
90	50	0
90	0.893997	1
82	46	0
82	0.313229	1
39	24.5	0
39	0.963795	1
78	44	0
78	0.513978	1
66	38	0
66	-0.02655	1
70	40	0
70	0.773891	1
74	42	0
74	-0.98515	1
39	24.5	0
39	0.963795	1
18	14	0
18	-0.75099	1
77	43.5	0
77	0.99952	1
91	50.5	0
91	0.105988	1
53	31.5	0
53	0.395925	1
41	25.5	0
41	-0.15862	1
49	29.5	0
49	-0.95375	1
4	7	0
4	-0.7568	1
100	55	0
100	-0.50637	1
48	29	0
48	-0.76825	1
76	43	0
76	0.566108	1
69	39.5	0
69	-0.11478	1
29	19.5	0
29	-0.66363	1
95	52.5	0
95	0.683262	1
43	26.5	0
43	-0.83177	1
80	45	0
80	-0.99389	1
10	10	0
10	-0.54402	1
10	10	0
10	-0.54402	1
59	34.5	0
59	0.636738	1
34	22	0
34	0.529083	1
74	42	0
74	-0.98515	1
82	46	0
82	0.313229	1
27	18.5	0
27	0.956376	1
16	13	0
16	-0.2879	1
79	44.5	0
79	-0.44411	1
98	54	0
98	-0.57338	1

[Martin Görner]

sorry this does not seem to be an issue related to this tutorial