S
Sam
Please help. I was shocked to discover that all of the files I am working
with have corrupt text at the end.
I have 500 .txt text files in folder c:\rules\. Each file is about 40MB. I
wanted to manually delete the corrupt text, however it takes too long to open
each file in Notepad [because those files are so large].
The first line of each file contains text "Rule=1"
The number following text "Rule=" that is found throughout the files is
incremented by 1 each time this text appears in the file.
May I please ask you to help me by writing a macro that will do the following:
1. Open folder c:\rules\
2. Open the first file in that folder.
3. The macro has to find the second to last line that contains the text
"Rule=". Let us refer to this line as 2toLast
4. The macro should delete all text below the 2toLast line. The macro has
to also delete the 2toLast line.
5. The macro should save the changes made to the file.
6. The macro should go to the next file in the folder c:\rules\, and repeat
steps 3-5
7. Repeat step 6 until run out of files in folder c:\rules\.
Example
The first file in c:\rules\ is called acred2sub1.txt
It begins with text
"Id=23859, Rule=1, Gen=0, training =
11.5444689897386>0.0000>100670.4175{1.9803 1.0000}, selection =
11.6146812264607>0.0000>100688.0767{1.9983 1.0000}, testing =
11.5258096838284>0.0000>101230.9377{-2.3595 1.0000}, trial=0, birth = 0, time
= 1051111.04:43:32 (parents: 0 and 0)
0 Probability GT [1488 0.000000 0.986820]"
This file ends with the text
******************************************************
******************************************************
******************************************************
***********************************************
***********************************************
***********************************************
"Id=2428985, Rule=2291, Gen=48, training =
11.5627062540301>0.0000>100670.4175{2.2533 1.0000}, selection =
11.5616177181233>98280.6602>98280.6602{1.8662 0.9000}, testing =
11.5258096838284>0.0000>101230.9377{-2.3595 1.0000}, trial=0, birth = 48,
time = 1051112.05:31:48 (parents: 2383210 and 2383552)
0 Probability if-thenProb [1488 0.000000 1.000000]
1 Boolean if-then-else [1488 0 1]
2 Boolean if-then-else [1488 0 1]
3 Boolean and [1488 0 1]
4 Boolean any_boolean True [1488 1 1]
5 Boolean < [1488 0 1]
6 Real data [1488 29.125000 143.250000]
7 Variable
8 Real lag [1488 31.107955 139.937500]
9 Real ln [1488 3.371597 4.964591]
10 Real data [1488 29.125000 143.250000]
11 Variable
12 Real mov [1488 31.107955 139.937500]
13 Variable
14 Real days-remaining [1488 1.000000 62.000000]
15 Boolean < [635 0 1]
16 Real power [635 0.000000
3297966952784501300000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000.000000]
17 Real abs [635 17777125493.869579 947106196758301.370000]
18 Real power [635 17777125493.869579 947106196758301.370000]
19 Real data [635 29.125000 137.875000]
20 Variable
21 Real any_real 7.000000 0x0000000000001c40 [635 7.000000
7.000000]
22 Real data [635 29.125000 137.875000]
23 Variable
24 Real power [635 0.000000
92510233423514822000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000.000000]
25 Real abs [635 1.000000 3521614606208.000000]
26 Real power [635 1.000000 3521614606208.000000]
27 Real days-remaining [635 1.000000 62.000000]
28 Real any_real 7.000000 0x0000000000001c40 [635 7.000000
7.000000]
29 Real data [635 29.125000 137.875000]
30 Variable
31 Boolean < [853 0 1]
32 Real data [853 33.250000 143.250000]
33 Variable
34 Real days-remaining [853 1.000000 62.000000]
35 Boolean < [78 0 1]
36 Real data [78 29.500000 73.000000]
37 Variable
38 Real power [78 0.000000
3297966952784501300000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000.000000]
39 Real abs [78 19442589725.148437 11047398519097.000000]
40 Real power [78 19442589725.148437 11047398519097.000000]
41 Real data [78 29.500000 73.000000]
42 Variable
43 Real any_real 7.000000 0x0000000000001c40 [78 7.000000 7.000000]
44 Real data [78 29.500000 73.000000]
45 Variable
46 Boolean any_boolean False [1410 0 0]
47 Probability ANY_PROB 1.000000 0x000000000000f03f [40 1.000000
1.000000]
Id=2402972, Rule=2292, Gen=48, training =
11.5417736815012>0.0000>100085.4204{1.8968 1.0000}, selection =
11.5609984677956>91748.2451>91748.2451{1.4932 0.9000}, testing =
11.5258096838284>0.0000>101230.9377{-2.3595 1.0000}, trial=0, birth = 48,
time = 1051112.05:07:44 (parents: 2363747 and 2384852)
0 Probability if-thenProb [1488 0.000000 1.000000]
1 Boolean if-then-else [1488 0 1]
2 Boolean and [1488 0 1]
3 Boolean any_boolean True [1488 1 1]
4 Boolean < [1488 0 1]
5 Real data [1488 29.125000 143.250000]
6 Variable
7 Real lag [1488 31.107955 139.937500]
8 Real ln [1488 3.467114 4.843345]
9 Real mov [1488 32.044118 126.893145]
10 Variable
11 Real mov [1488 29.125000 143.250000]
12 Variable
13 Real any_real 0.309681 0xc0520aa2d1d1d33f [1488 0.309681
0.309681]
14 Real mov [1488 31.107955 139.937500]
15 Variable
16 Real days-remaining [1488 1.000000 62.000000]
17 Boolean < [636 0 1]
18 Real data [636 29.125000 137.875000]
19 Variable
20 Real power [636 0.000000
3297966952784501300000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000.000000]
21 Real abs [636 17777125493.869579 947106196758301.370000]
22 Real power [636 17777125493.869579 947106196758301.370000]
23 Real data [636 29.125000 137.875000]
24 Variable
25 Real any_real 7.000000 0x0000000000001c40 [636 7.000000 7.000000]
26 Real data [636 29.125000 137.875000]
27 Variable
28 Boolean < [852 0 1]
29 Real + [852 10.625000 257.000000]
30 Real data [852 33.250000 143.250000]
31 Variable
32 Real lag [852 -26.500000 115.750000]
33 Real data [852 33.250000 143.250000]
34 Variable
35 Real - [852 -26.500000 115.750000]
36 Real maximum [852 34.250000 116.750000]
37 Variable
38 Real maximum [852 31.000000 116.750000]
39 Variable
40 Real any_real 7.000000 0x0000000000001c40 [852 7.000000
7.000000]
41 Real days-remaining [852 1.000000 62.000000]
42 Real minimum [852 33.250000 143.250000]
43 Variable
44 Real * [852 1377493611034874400000000000000000000000000000.000000
19946234872205364000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000.000000]
45 Real + [852 34.250000 144.250000]
46 Real any_real 1.000000 0x000000000000f03f [852 1.000000 1.000000]
47 Real maximum [852 33.250000 143.250000]
48 Variable
49 Real days-remaining [852 1.000000 62.000000]
50 Real lag [852 35548222220254824000000000000000000000000000.000000
138275458386172380000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000.000000]
51 Real data [852 33.250000 143.250000]
52 Variable
53 Real * [852 35548222220254824000000000000000000000000000.000000
138275458386172380000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000.000000]
54 Real / [852 1205024482042536400000000000000000000000000.000000
1184372234571069500000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000.000000]
55 Real power [852
22895465158808191000000000000000000000000000.000000
22503072456850322000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000.000000]
56 Real data [852 29.500000 116.750000]
57 Variable
58 Real data [852 29.500000 116.750000]
59 Variable
60 Real any_real 19.000000 0x0000000000003340 [852 19.000000
19.000000]
61 Real data [852 29.500000 116.750000]
62 Variable
63 Probability GT [635 0.000000 1.000000]
64 Real mov [635 32.050000 126.873904]
65 Variable
66 Real minimum [635 29.125000 113.750000]
67 Variable
68 Real + [635 34.283784 179.740079]
69 Real abs [635 32.156250 126.388542]
70 Real mov [635 32.156250 126.388542]
71 Variable
72 Real data [635 29.125000 137.875000]
73 Variable
74 Real days-remaining [635 1.000000 62.000000]
75 Real abs [635 29.125000 137.875000]
76 Real data [635 29.125000 137.875000]
77 Variable
78 Real abs [635 1.000000 62.000000]
79 Real days-remaining [635 1.000000 62.000000]
Id=2426880, Rule=2293, Gen=48, training =
11.5420824603975>0.0000>100670.4175{2.0713 1.0000}, selection =
11.5609196233777>91443.0849>91443.0849{1.4792 0.9000}, testing =
11.5258096838284>0.0000>101230.9377{-2.3595 1.0000}, trial=0, birth = 48,
time = 1051112.05:31:23 (parents: 2386050 and 2356912)
0 Probability if-thenProb [1488 0.000000 1.000000]
1 Boolean if-then-else [1488 0 1]
2 Boolean and [1488 0 1]
3 Boolean any_boolean True [1488 1 1]
4 Boolean > [1488 0 1]
5 Real any_real 76.000000 0x0000000000005340 [1488 76.000000
76.000000]
6 Real data [1488 29.125000 143.250000]
7 Variable
8 Boolean < [743 0 1]
9 Real data [743 29.125000 75.875000]
10 Variable
11 Real power [743 0.000000
3297966952784501300000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000.000000]
12 Real abs [743 17777125493.869579 14477411826665.816000]
13 Real power [743 17777125493.869579 14477411826665.816000]
14 Real data [743 29.125000 75.875000]
15 Variable
16 Real any_real 7.000000 0x0000000000001c40 [743 7.000000 7.000000]
17 Real data [743 29.125000 75.875000]
18 Variable
19 Boolean any_boolean False [745 0 0]
20 Probability BOOLEAN [653 0.000000 1.000000]
21 Boolean or [653 0 1]
22 Boolean any_boolean False [653 0 0]
23 Boolean if-then-else [653 0 1]
24 Boolean any_boolean False [653 0 0]
25 Boolean any_boolean False [unused]
26 Boolean < [653 0 1]
27 Real mov [653 32.044118 82.789474]
28 Variable
29 Real data [653 29.125000 75.875000]
30 Variable
31 Real days-remaining [653 1.000000 62.000000]"
***********************************************
***********************************************
***********************************************
***********************************************
***********************************************
***********************************************
The text "Rule=" appears 2293 times in this file. Thus the macro should
find the line containing text "rule=2292" and delete this line and all of the
text below this line. When this is done, file acred2sub1.txt will end with
text
***********************************************
***********************************************
***********************************************
***********************************************
***********************************************
***********************************************
"Id=2428985, Rule=2291, Gen=48, training =
11.5627062540301>0.0000>100670.4175{2.2533 1.0000}, selection =
11.5616177181233>98280.6602>98280.6602{1.8662 0.9000}, testing =
11.5258096838284>0.0000>101230.9377{-2.3595 1.0000}, trial=0, birth = 48,
time = 1051112.05:31:48 (parents: 2383210 and 2383552)
0 Probability if-thenProb [1488 0.000000 1.000000]
1 Boolean if-then-else [1488 0 1]
2 Boolean if-then-else [1488 0 1]
3 Boolean and [1488 0 1]
4 Boolean any_boolean True [1488 1 1]
5 Boolean < [1488 0 1]
6 Real data [1488 29.125000 143.250000]
7 Variable
8 Real lag [1488 31.107955 139.937500]
9 Real ln [1488 3.371597 4.964591]
10 Real data [1488 29.125000 143.250000]
11 Variable
12 Real mov [1488 31.107955 139.937500]
13 Variable
14 Real days-remaining [1488 1.000000 62.000000]
15 Boolean < [635 0 1]
16 Real power [635 0.000000
3297966952784501300000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000.000000]
17 Real abs [635 17777125493.869579 947106196758301.370000]
18 Real power [635 17777125493.869579 947106196758301.370000]
19 Real data [635 29.125000 137.875000]
20 Variable
21 Real any_real 7.000000 0x0000000000001c40 [635 7.000000
7.000000]
22 Real data [635 29.125000 137.875000]
23 Variable
24 Real power [635 0.000000
92510233423514822000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000.000000]
25 Real abs [635 1.000000 3521614606208.000000]
26 Real power [635 1.000000 3521614606208.000000]
27 Real days-remaining [635 1.000000 62.000000]
28 Real any_real 7.000000 0x0000000000001c40 [635 7.000000
7.000000]
29 Real data [635 29.125000 137.875000]
30 Variable
31 Boolean < [853 0 1]
32 Real data [853 33.250000 143.250000]
33 Variable
34 Real days-remaining [853 1.000000 62.000000]
35 Boolean < [78 0 1]
36 Real data [78 29.500000 73.000000]
37 Variable
38 Real power [78 0.000000
3297966952784501300000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000.000000]
39 Real abs [78 19442589725.148437 11047398519097.000000]
40 Real power [78 19442589725.148437 11047398519097.000000]
41 Real data [78 29.500000 73.000000]
42 Variable
43 Real any_real 7.000000 0x0000000000001c40 [78 7.000000 7.000000]
44 Real data [78 29.500000 73.000000]
45 Variable
46 Boolean any_boolean False [1410 0 0]
47 Probability ANY_PROB 1.000000 0x000000000000f03f [40 1.000000
1.000000]"
Thank you for your kind help!
with have corrupt text at the end.
I have 500 .txt text files in folder c:\rules\. Each file is about 40MB. I
wanted to manually delete the corrupt text, however it takes too long to open
each file in Notepad [because those files are so large].
The first line of each file contains text "Rule=1"
The number following text "Rule=" that is found throughout the files is
incremented by 1 each time this text appears in the file.
May I please ask you to help me by writing a macro that will do the following:
1. Open folder c:\rules\
2. Open the first file in that folder.
3. The macro has to find the second to last line that contains the text
"Rule=". Let us refer to this line as 2toLast
4. The macro should delete all text below the 2toLast line. The macro has
to also delete the 2toLast line.
5. The macro should save the changes made to the file.
6. The macro should go to the next file in the folder c:\rules\, and repeat
steps 3-5
7. Repeat step 6 until run out of files in folder c:\rules\.
Example
The first file in c:\rules\ is called acred2sub1.txt
It begins with text
"Id=23859, Rule=1, Gen=0, training =
11.5444689897386>0.0000>100670.4175{1.9803 1.0000}, selection =
11.6146812264607>0.0000>100688.0767{1.9983 1.0000}, testing =
11.5258096838284>0.0000>101230.9377{-2.3595 1.0000}, trial=0, birth = 0, time
= 1051111.04:43:32 (parents: 0 and 0)
0 Probability GT [1488 0.000000 0.986820]"
This file ends with the text
******************************************************
******************************************************
******************************************************
***********************************************
***********************************************
***********************************************
"Id=2428985, Rule=2291, Gen=48, training =
11.5627062540301>0.0000>100670.4175{2.2533 1.0000}, selection =
11.5616177181233>98280.6602>98280.6602{1.8662 0.9000}, testing =
11.5258096838284>0.0000>101230.9377{-2.3595 1.0000}, trial=0, birth = 48,
time = 1051112.05:31:48 (parents: 2383210 and 2383552)
0 Probability if-thenProb [1488 0.000000 1.000000]
1 Boolean if-then-else [1488 0 1]
2 Boolean if-then-else [1488 0 1]
3 Boolean and [1488 0 1]
4 Boolean any_boolean True [1488 1 1]
5 Boolean < [1488 0 1]
6 Real data [1488 29.125000 143.250000]
7 Variable
8 Real lag [1488 31.107955 139.937500]
9 Real ln [1488 3.371597 4.964591]
10 Real data [1488 29.125000 143.250000]
11 Variable
12 Real mov [1488 31.107955 139.937500]
13 Variable
14 Real days-remaining [1488 1.000000 62.000000]
15 Boolean < [635 0 1]
16 Real power [635 0.000000
3297966952784501300000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000.000000]
17 Real abs [635 17777125493.869579 947106196758301.370000]
18 Real power [635 17777125493.869579 947106196758301.370000]
19 Real data [635 29.125000 137.875000]
20 Variable
21 Real any_real 7.000000 0x0000000000001c40 [635 7.000000
7.000000]
22 Real data [635 29.125000 137.875000]
23 Variable
24 Real power [635 0.000000
92510233423514822000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000.000000]
25 Real abs [635 1.000000 3521614606208.000000]
26 Real power [635 1.000000 3521614606208.000000]
27 Real days-remaining [635 1.000000 62.000000]
28 Real any_real 7.000000 0x0000000000001c40 [635 7.000000
7.000000]
29 Real data [635 29.125000 137.875000]
30 Variable
31 Boolean < [853 0 1]
32 Real data [853 33.250000 143.250000]
33 Variable
34 Real days-remaining [853 1.000000 62.000000]
35 Boolean < [78 0 1]
36 Real data [78 29.500000 73.000000]
37 Variable
38 Real power [78 0.000000
3297966952784501300000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000.000000]
39 Real abs [78 19442589725.148437 11047398519097.000000]
40 Real power [78 19442589725.148437 11047398519097.000000]
41 Real data [78 29.500000 73.000000]
42 Variable
43 Real any_real 7.000000 0x0000000000001c40 [78 7.000000 7.000000]
44 Real data [78 29.500000 73.000000]
45 Variable
46 Boolean any_boolean False [1410 0 0]
47 Probability ANY_PROB 1.000000 0x000000000000f03f [40 1.000000
1.000000]
Id=2402972, Rule=2292, Gen=48, training =
11.5417736815012>0.0000>100085.4204{1.8968 1.0000}, selection =
11.5609984677956>91748.2451>91748.2451{1.4932 0.9000}, testing =
11.5258096838284>0.0000>101230.9377{-2.3595 1.0000}, trial=0, birth = 48,
time = 1051112.05:07:44 (parents: 2363747 and 2384852)
0 Probability if-thenProb [1488 0.000000 1.000000]
1 Boolean if-then-else [1488 0 1]
2 Boolean and [1488 0 1]
3 Boolean any_boolean True [1488 1 1]
4 Boolean < [1488 0 1]
5 Real data [1488 29.125000 143.250000]
6 Variable
7 Real lag [1488 31.107955 139.937500]
8 Real ln [1488 3.467114 4.843345]
9 Real mov [1488 32.044118 126.893145]
10 Variable
11 Real mov [1488 29.125000 143.250000]
12 Variable
13 Real any_real 0.309681 0xc0520aa2d1d1d33f [1488 0.309681
0.309681]
14 Real mov [1488 31.107955 139.937500]
15 Variable
16 Real days-remaining [1488 1.000000 62.000000]
17 Boolean < [636 0 1]
18 Real data [636 29.125000 137.875000]
19 Variable
20 Real power [636 0.000000
3297966952784501300000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000.000000]
21 Real abs [636 17777125493.869579 947106196758301.370000]
22 Real power [636 17777125493.869579 947106196758301.370000]
23 Real data [636 29.125000 137.875000]
24 Variable
25 Real any_real 7.000000 0x0000000000001c40 [636 7.000000 7.000000]
26 Real data [636 29.125000 137.875000]
27 Variable
28 Boolean < [852 0 1]
29 Real + [852 10.625000 257.000000]
30 Real data [852 33.250000 143.250000]
31 Variable
32 Real lag [852 -26.500000 115.750000]
33 Real data [852 33.250000 143.250000]
34 Variable
35 Real - [852 -26.500000 115.750000]
36 Real maximum [852 34.250000 116.750000]
37 Variable
38 Real maximum [852 31.000000 116.750000]
39 Variable
40 Real any_real 7.000000 0x0000000000001c40 [852 7.000000
7.000000]
41 Real days-remaining [852 1.000000 62.000000]
42 Real minimum [852 33.250000 143.250000]
43 Variable
44 Real * [852 1377493611034874400000000000000000000000000000.000000
19946234872205364000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000.000000]
45 Real + [852 34.250000 144.250000]
46 Real any_real 1.000000 0x000000000000f03f [852 1.000000 1.000000]
47 Real maximum [852 33.250000 143.250000]
48 Variable
49 Real days-remaining [852 1.000000 62.000000]
50 Real lag [852 35548222220254824000000000000000000000000000.000000
138275458386172380000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000.000000]
51 Real data [852 33.250000 143.250000]
52 Variable
53 Real * [852 35548222220254824000000000000000000000000000.000000
138275458386172380000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000.000000]
54 Real / [852 1205024482042536400000000000000000000000000.000000
1184372234571069500000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000.000000]
55 Real power [852
22895465158808191000000000000000000000000000.000000
22503072456850322000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000.000000]
56 Real data [852 29.500000 116.750000]
57 Variable
58 Real data [852 29.500000 116.750000]
59 Variable
60 Real any_real 19.000000 0x0000000000003340 [852 19.000000
19.000000]
61 Real data [852 29.500000 116.750000]
62 Variable
63 Probability GT [635 0.000000 1.000000]
64 Real mov [635 32.050000 126.873904]
65 Variable
66 Real minimum [635 29.125000 113.750000]
67 Variable
68 Real + [635 34.283784 179.740079]
69 Real abs [635 32.156250 126.388542]
70 Real mov [635 32.156250 126.388542]
71 Variable
72 Real data [635 29.125000 137.875000]
73 Variable
74 Real days-remaining [635 1.000000 62.000000]
75 Real abs [635 29.125000 137.875000]
76 Real data [635 29.125000 137.875000]
77 Variable
78 Real abs [635 1.000000 62.000000]
79 Real days-remaining [635 1.000000 62.000000]
Id=2426880, Rule=2293, Gen=48, training =
11.5420824603975>0.0000>100670.4175{2.0713 1.0000}, selection =
11.5609196233777>91443.0849>91443.0849{1.4792 0.9000}, testing =
11.5258096838284>0.0000>101230.9377{-2.3595 1.0000}, trial=0, birth = 48,
time = 1051112.05:31:23 (parents: 2386050 and 2356912)
0 Probability if-thenProb [1488 0.000000 1.000000]
1 Boolean if-then-else [1488 0 1]
2 Boolean and [1488 0 1]
3 Boolean any_boolean True [1488 1 1]
4 Boolean > [1488 0 1]
5 Real any_real 76.000000 0x0000000000005340 [1488 76.000000
76.000000]
6 Real data [1488 29.125000 143.250000]
7 Variable
8 Boolean < [743 0 1]
9 Real data [743 29.125000 75.875000]
10 Variable
11 Real power [743 0.000000
3297966952784501300000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000.000000]
12 Real abs [743 17777125493.869579 14477411826665.816000]
13 Real power [743 17777125493.869579 14477411826665.816000]
14 Real data [743 29.125000 75.875000]
15 Variable
16 Real any_real 7.000000 0x0000000000001c40 [743 7.000000 7.000000]
17 Real data [743 29.125000 75.875000]
18 Variable
19 Boolean any_boolean False [745 0 0]
20 Probability BOOLEAN [653 0.000000 1.000000]
21 Boolean or [653 0 1]
22 Boolean any_boolean False [653 0 0]
23 Boolean if-then-else [653 0 1]
24 Boolean any_boolean False [653 0 0]
25 Boolean any_boolean False [unused]
26 Boolean < [653 0 1]
27 Real mov [653 32.044118 82.789474]
28 Variable
29 Real data [653 29.125000 75.875000]
30 Variable
31 Real days-remaining [653 1.000000 62.000000]"
***********************************************
***********************************************
***********************************************
***********************************************
***********************************************
***********************************************
The text "Rule=" appears 2293 times in this file. Thus the macro should
find the line containing text "rule=2292" and delete this line and all of the
text below this line. When this is done, file acred2sub1.txt will end with
text
***********************************************
***********************************************
***********************************************
***********************************************
***********************************************
***********************************************
"Id=2428985, Rule=2291, Gen=48, training =
11.5627062540301>0.0000>100670.4175{2.2533 1.0000}, selection =
11.5616177181233>98280.6602>98280.6602{1.8662 0.9000}, testing =
11.5258096838284>0.0000>101230.9377{-2.3595 1.0000}, trial=0, birth = 48,
time = 1051112.05:31:48 (parents: 2383210 and 2383552)
0 Probability if-thenProb [1488 0.000000 1.000000]
1 Boolean if-then-else [1488 0 1]
2 Boolean if-then-else [1488 0 1]
3 Boolean and [1488 0 1]
4 Boolean any_boolean True [1488 1 1]
5 Boolean < [1488 0 1]
6 Real data [1488 29.125000 143.250000]
7 Variable
8 Real lag [1488 31.107955 139.937500]
9 Real ln [1488 3.371597 4.964591]
10 Real data [1488 29.125000 143.250000]
11 Variable
12 Real mov [1488 31.107955 139.937500]
13 Variable
14 Real days-remaining [1488 1.000000 62.000000]
15 Boolean < [635 0 1]
16 Real power [635 0.000000
3297966952784501300000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000.000000]
17 Real abs [635 17777125493.869579 947106196758301.370000]
18 Real power [635 17777125493.869579 947106196758301.370000]
19 Real data [635 29.125000 137.875000]
20 Variable
21 Real any_real 7.000000 0x0000000000001c40 [635 7.000000
7.000000]
22 Real data [635 29.125000 137.875000]
23 Variable
24 Real power [635 0.000000
92510233423514822000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000.000000]
25 Real abs [635 1.000000 3521614606208.000000]
26 Real power [635 1.000000 3521614606208.000000]
27 Real days-remaining [635 1.000000 62.000000]
28 Real any_real 7.000000 0x0000000000001c40 [635 7.000000
7.000000]
29 Real data [635 29.125000 137.875000]
30 Variable
31 Boolean < [853 0 1]
32 Real data [853 33.250000 143.250000]
33 Variable
34 Real days-remaining [853 1.000000 62.000000]
35 Boolean < [78 0 1]
36 Real data [78 29.500000 73.000000]
37 Variable
38 Real power [78 0.000000
3297966952784501300000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000.000000]
39 Real abs [78 19442589725.148437 11047398519097.000000]
40 Real power [78 19442589725.148437 11047398519097.000000]
41 Real data [78 29.500000 73.000000]
42 Variable
43 Real any_real 7.000000 0x0000000000001c40 [78 7.000000 7.000000]
44 Real data [78 29.500000 73.000000]
45 Variable
46 Boolean any_boolean False [1410 0 0]
47 Probability ANY_PROB 1.000000 0x000000000000f03f [40 1.000000
1.000000]"
Thank you for your kind help!